Best Scalping EA 2020 - Forex Scalping EA Strategy System
Best Scalping EA 2020 - Forex Scalping EA Strategy System
FOREX TREND FORECASTING BASED ON LONG SHORT TERM MEMORY ...
FOREX Prices Have Memory
Tips to reduce MT4 memory use - Forex Education
Browser Out Memory Issue (Page 1) - Forex Software
US Elections: COVID-19 being fresh in memory seems to ...
Short Term Memory, Let Go! - Forex Robot Reviews
How Using Market ‘Memory’ of Forex and CFD Charts Helps ...
How the Presidential Election Affects the US ... - FOREX.com
TESTING FOR LONG MEMORY IN VOLATILITY IN THE INDIAN FOREX ...
The Last Time I Write Another One of These Cringey Things (I hope...): Part 2892, The Worst Sequel and Wall of Text, ever
Hiya, folks...! It's another wall of text from some random person who could be doing just about anything else except for this... Who's ready for some paragraphs from some stranger? I know you'd rather be doing anything else, or maybe not haha.. But it does mean a lot if you do take the time to try to attempt to accurately type me... I will DEFINITELY NOT overthink it this time, and take your consideration FULLY to heart, and stop overthinking my MBTI type and live happily ever after! (Hahahahhaha...! ... ...) ... Ok, let's begin!
How old are you? What's your gender? Give us a general description of yourself.
I am a freshly 23 year old male that likes to do average Redditor bullcrap. Video games, memes, music, making my finger go up and down endlessly while staring at a glass LED screen with pixels on it while feeling like I've accomplished nothing. Just average stuff, I suppose. I'm not really that interesting tbh... I work at home and I am just "vibing", as the kids say. I have some long term projects planned, but I'm at least trying to rest up from a really shitty 7 years that I've had back to back to back so... Nothing really insightful to write here haha..
Is there a medical diagnosis that impact your mental/comportamental stability somehow?
Likely several... I had a very traumatic childhood that I constantly gaslight myself about like saying things like "it wasn't that bad, people have it worse" and much worse.. I disassociate from reality every 2.5 seconds, can't focus, have terrible insomnia, EXTREMELY low energy, mood swings, brain fog, random body pains 24/7, seventeen billion repressed emotions which don't help out anything else that I'm dealing with, memory problems, and I need caffeine to do the bare minimum of just about anything on most days, but some of that could be average American problems. I've suspected I have some form as Aspergers, and probably A TON of mental illnesses, such as OCD, anxiety, depression, and maybe a personality disorder.
Describe your upbringing. Did it have any kind of religious or structured influence? How did you respond to it?
My upbringing is a very mixed bag overall. I would not say I had a typically "tragic" childhood (there goes me gaslighting myself LOL) because people have DEFINITELY had it worse than me. But I can't sit here and pretend everything I went through was "normal". To attempt to sum it up, I basically was a "gifted" kid who got good grades throughout school and maintained my image of being this perfect kid, but meanwhile in the shadows, I was just slowly dying inside and suffering from a lot of imposter syndrome (amongst other things), which I'd definitely would say is warranted because I was NOT cut out for anything in school and it showed. I basically faked my way through school, got burnt out EARLY but got mega burnt out by senior year, and basically started college with no plan but somehow still managed to graduate (barely) and just kinda end up where I am now. As far as a religious upbringing is concerned, I definitely was heavily influenced by religion, in kind of a negative way (?) Religion and I have a VERY weird relationship. On the one hand, I guess I love my religious friends, the lessons I learned from it, and a lot of what it says, but on the other hand I can not ever be a part of one mostly because of some of the dogmatic thinking and extremely toxic aspects to it that people use to justify hate and violence, and that's not really my type of thing. Also, I used to be really kinda "uppity" or arrogant about my religion, and now I DESPISE seeing the same type of "holier than thou" attitude projected. It kinda irks me on the inside. Looking back, my response to it all was a major polarity shift from one extreme, to the other, and now where I'm at, I can look back at both sides and take the good from both. What do I mean by that? Welllllll... I mentioned earlier how I can't stand the "holier than thou" type, and for a while, that was DEFINITELY me. I was REALLY into it and took it extremely serious. I wouldn't mind being called "lame" or "whack" for having my faith, but looking back, it really made my quality of life kinda worse because I did have those strong beliefs and those off-putting characteristics that ostracized me from my peers and some potentially great experiences. I grew out of this and then became an EXTREME atheist, and for a while, it felt freeing. I felt better, smarter, edgier, and just superior, but looking back, I was just cynical and a total asshole, and arguably worse than the "holier than thou douche persona" that I had growing up. Luckily, my extreme atheism phase kinda fizzled out after some other trauma that happened around the time I became an atheist, and now, I can respect religion and be open to it, the ideas, and the amazing things that come from it while also maintaining my independent thinking but not to the point of being "hur dur be skeptical and point out everything wrong with religion all the time and be an asshole for no reason to religious people", if that makes any sense. As far as my relationship to the structure in my life.. It's kind of a mixed bag. I had a pretty suffocated childhood, and I wasn't allowed certain things, but I guess it wasn't really all that bad in the end, or at least as it could've been. Most of this was just protection from a single parent who just didn't want anything to me and wanted me to be the best I could be in life, and I can respect this and look back on some parts of my structured childhood with fondness. But I most certainly got sick of it all by the time I was almost finished with highschool and in a lot of my college career. I basically used to be Mr. Structured. I had everything organized, I was neat, clean, got everything done at the right time, all the good stuff. But my brain just got tired of maintaining that forever, because I was already pretty much bad at life, but I was forced to just continue faking everything until something happened. So, by the end of high school, I lost all of those characteristics and became extremely sloppy. But I really do blame that on being physically tired. Being as organized as I was was TAXING because of how I overdid it. And now, thinking back, a lot of my structuredness was just on the surface level, and it was me trying to live up to everyone's standards and be just on top of everything, all the time, at a VERY unhealthy level, and that's probably what burnt me out too. I was addicted to the image of being this extremely put together person who has their shit together, while not having absolutely any shit to get together because I was withering away inside faster than fresh cotton candy from the fair melts in your mouth when your mouth is dry. So, basically to sum it all up, I was a really clean cut religious smart "gifted" kid who wasn't really that, at all (AND I still don't know who I am now tbh haha) and I got tired of putting on that image all the time and turned to a dirty neckbeard atheist cynic for a short time, and then balanced out to whatever the fuck I am now because I wear 238234 different masks for each and every occasion, but THAT'S a different story haha.. I look back at both equally cringey and horrible chapters of my life with some scorn for myself and the times, but overall a much more understand a balanced perspective, because I had to go through it all to be me, and I'm just glad I can be here now. I'd say I definitely liked moments from those chapters, but overall, I'm much happier where I'm at now, which is not nearly as anally obsessive at the concept of being structured and not nearly as hyper-faithful to my religion or just a total asshole piece of shit atheist.
What do you do as a job or as a career (if you have one)? Do you like it? Why or why not?
Right now, I'm sorta half employed. I do trade a bit on the Forex markets from signals groups and make enough to help out my family, and buy myself things here and there. I'm only really doing this because I went through a really shitty 7 years and I just need time to myself to kind of figure out, A LOT (clearly, as you can see by reading this HORRIBLE reddit post LOL) and rest. I just like the amount of freedom I have, and the money. I really like the idea of me having money saved and ready for any emergency, or family member or friend. I just need money to help out, stay safe, and to have time for myself to rest and take care of my health, or just pursue all the hobbies I missed out on, and I'm totally fine doing this the rest of my life. I don't really need or want that much in life, and I've always kind of been like this. I just want things to be peaceful and simple, so that my mind can be at ease and to just have free time for myself and a solution for any random chaotic emergency that happens because my mind always thinks of the worst that can happen by catastrophizing literally everything ever in the world. So my "career" is just a means to an end, like I'm sure a lot of people's careers are, unless you happen to have a passion or something, which is also amazing. I do like writing, and I do wanna finish my book. I daydream a lot about it, and sometimes that's much more fun than actually writing it, but I do wanna finish it, but I also want it to be absolutely perfect and plothole free, and much more. I also wanna do YouTube and Twitch, but I feel like I have a lot to do as a person before I can freely be on those sites as a full person/"influencer" (I have so many mixed feelings about having a full time career as an influencer and having my life under that much pressure and scrutiny, BUTTTTT that's a different discussion...), so I might pursue those slowly or just freestyle it for fun. Those were my big dreams as a kid, but growing up, I see that writing a good book is damned hard (worth it, but hard) and being a Youtubesocial media star is a different world entirely, and I don't know how I feel about it. Like, I know I'd never be a Shane Dawson (YIKES) or Cryaotic (EWWWWW) but to even just disappoint one person, or have any sort of fuckup, or.. I don't know where I'm going with this... Basically, everything I suffer from now would only be amplified by having a YouTube career, my people pleasing tendencies, my over obsession with being perfect for others/myself, my workaholic tendencies, my being hard on myself, my fear of fucking anything up, and my imposter syndrome, those would all go BRRRRRR if I got any decent success on YouTube, so... *Phew* That's my weird relationship with my life, and where I wanna go with it. To be honest, I'd be happy where I'm at right now, because at the end of the day, as long as I'm healthy and my family is happy, I'm ok, but a part of me also wants to live out those big dreams like having my book be a thing and animated, and being a good YouTuber, meme maker, Twitch streamer, all the above at the same time but my insecurities are like "BWAHAHAHAHA", so I'm just like: -_- But I'll figure it out! Hopefully..
If you had to spend an entire weekend by yourself, how would you feel? Would you feel lonely or refreshed?
Hm... Interesting question. Honestly, I'd never feel lonely on weekends by myself. Even when my friends are doing better things or aren't around, I don't really feel lonely I guess. Most of the time I have weekends alone, I feel pretty refreshed I suppose. It's kinda hard to tell haha.. This feels more like a circumstantial question where a myriad of things that are going on during the hypothetical week or just in my life/mind would determine this answer. Sometimes I just need that weekend to recharge and be alone and in my thoughts, or watching Netflix or being an absolute video game degenerate while dancing alone in my room and eating junk food. And sometimes, I like to be out and about with my friends, or just doing stuff. I probably lean more towards refreshed though, overall in a general sense.
What is your relation with movement and your surroundings? For instance do you prefer a sport or outdoors event? If an outdoors event what is it? And why? If not what type of activities do you tend to engage in?
BIG YIKES. I feel like a non human that doesn't belong on this planet or universe 99% of the time. I'm VERY slow, awkward movements, jittery, sometimes it looks like I was born yesterday with my grasp on physical reality, but yet, I do interestingly enough find myself loving to sweat and workout. I don't really have the coordination for any type of real sport, but I do like walks and I would run if I lived in an area where I could have a private or peaceful run where I would not be interrupted or seen by anyone because I look HIDEOUS running. I won't say I could never get into running at a professional or serious level, like with a group, but I'd just say it's more unlikely, for now. It sounds really exciting and interesting to be good at something physical, and I have always admired people who could do really sick stuff in sports, and I've always wanted to do it. But, right now, my uncoordinated ass will stick to just riding my exercise bike occasionally to burn off some restlessness and help me sleep betteperform better because working out makes my brain feel oddly stable lol. (I guess that's why I have such a fascination with physical stuff even though I am absolutely hopeless in most of it in the grand scheme of things)
How curious are you? Do you have more ideas then you can execute? What are your curiosities about? What are your ideas about - is it environmental or conceptual, and can you please elaborate?
I don't know if I'd say I'm curious, I guess I just think a lot. Like, I'll see something or watch something and daydream about it all the time, making new ideas out of it in my head or creating something new with it, trying to take it a new level or understand it at a different level, if that makes sense. Like, I'll sort of mentally digest something and that's what gives me inspiration, or ideas. I take in everything as I go and make up new shit with it later on (LOL this sounds like regular human being talk, because everyone does this). I would say I have a lot of ideas on everything. I daydream about random chapters in my book a lot, like full on scenes. I'll daydream about a new melody for a song I've never heard with lyrics, and I'll try to make lyrics in my head and extend the melody. I'll daydream about my interactions in life, and just how I could have responded differently, or maybe what the other person is thinking, or feeling, or stuff like I wonder if they're okay. I'll daydream about new memes I can make, or me in an interview (OMG MEGA CRINGE ROFL). I pretty much daydream about... Everything. And then I'll daydream about what I'm daydreaming about, and why I'm doing it, and it gets too meta at that point. (this could very well just be maladaptive daydreaming and NOT indicative of any cognitive function ROFL)
Would you enjoy taking on a leadership position? Do you think you would be good at it? What would your leadership style be?
Nope, nuh uh. I am too much of a people pleaser and pushover. I'd be dead or betrayed before my first week is over. The thing about me is that generally, I feel like I'd be a terrible leader because I can overthink a lot, all the time, and I'd be slow to action and prone to analysis paralysis and extreme people pleasing tendencies. I can also be conflict avoidant, and just want people to be happy, so I'd let a lot of stuff slide that I maybe should not. Now, don't get me wrong, I can be firm and tough when needed, but eventually that'd be too much for me to bear, and I couldn't be in a position like that for long. I genuinely hope I never become a leader, because even when I'm looking back to five minutes ago, I can say that "ew, that's cringe bro", so I clearly have a lot of work to do before I have something that serious on my plate.
Are you coordinated? Why do you feel as if you are or are not? Do you enjoy working with your hands in some form? Describe your activity?
HAHAHHAHAHHAHAHAHA. Funny question. But.. Yeahhhhhhh... No. I am NOT coordinated. I can barely walk in my kitchen without the fear of me accidentally turning wrong or moving incorrectly and just breaking something or knocking over everything in the kitchen. SOMETIMES I'm in James Bond mode, and it feels like I can do anything physical, and I feel aware of everything, my body, my surroundings, and I can actually move like a human being, but that usually doesn't last long. I can do just the bare minimum that an average human can do, but MUCH MUCH worse and at a greater cost of my energy, and my mental energy trying not to fuck anything up because I have literally just been sitting at times and barely move and knock over EVERYTHING somehow, because that's just how much my body was not meant to be on planet earth and I maybe should have been incarnated as a slug, idk.
Are you artistic? If yes, describe your art? If you are not particular artistic but can appreciate art please likewise describe what forums of art you enjoy. Please explain your answer.
I'd describe myself as artistic, even if I haven't drawn in years LOL. But let me explain... I do still have a love for it, I just haven't really been able to practice. In general, my art is just aiming for whatever is in my brain, and I don't have a solid style. I'm just going for whatever I'm going for in the moment. I prefer a mix of realism with some "quirks", if that makes sense. While I haven't drawn in a while, this is how I'd imagine I'd want my art to look nowadays. Pretty realistic with perfect everything, perfect features, perfect environment or whatever I'm illustrating or going for (perfect features on a person, all the hair strands drawn individually, etc), with a mix of my own little "spice", if that makes sense. Back in the day, my art was just trying to copy classic anime, and while I have no problem with that style, I just wanna kinda make my own style, even if that is hard to verbalize lmao. Alright guys.. I would write more, but I'm sleepy and some of this is getting dumb/boring (as if it wasn't already LOL). I'm glad you made it this far, and thank you for reading and putting up with this actual garbage fire of a post. Please take care of yourselves during these crazy weird times, and I hope you are doing well. I look forward to reading you guys responses (if I get any LOL). Stay amazing, and stay healthy :3
Bitcoin Broker Understand the Benefits of CryptoCurrency Trading
Bitcoin is a cryptocurrency, which can be spent, saved, or invested, and it can be stolen too. Trading with Bitcoins was considered to be risky, but the current trends show that it has become a big hit the binary options sector. This decentralized currency is not regulated by any Government, or by any central authority. What determines the price of Bitcoins? Bitcoin's price is determined according to the supply and demand ratio. Price increases when the demand increases, the rates plummet downwards when the demand falls. Bitcoins in circulation are limited, and new ones are created at a very slow rate. Since it does not have enough cash reserve to move the market price, its price can be extremely volatile. Bitcoin trading is popular because of -
Low inflation risk - Inflation is the biggest issue for traders, because all the currencies lose some of their purchasing power when the reserve banks keep printing more currency. With Bitcoin minting system being limited to just 21 million Bitcoins, it hardly gets impacted with inflation.
Low collapse risk - Currencies fluctuations depend on government trade policies, which at times cause hyperinflation, and even lead to the collapse of currency. Bitcoin is a virtual universal currency, which is not regulated by any government.
Simple, safe and cheap - The Bitcoin payments take place between peer-to-peer without any intermediary, which is why it is simple and cheap.
Easy to carry - Bitcoins worth million dollars can be carried in your pocket, in a memory stick. This cannot be done with gold or cash.
Untraceable - Issuance of Bitcoin is not regulated by any government, so the risk of seizure is nil.
Binary options Bitcoin trading platform bitcoin binary options are getting familiar with popularity of these Bitcoins, and its constant fluctuating values. Therefore they are using this opportunity to offer traders with the latest volatile crypto-currency as an additional payment method. Bitcoin brokers providing crypto-currency as trading option include -
One touch option - Bitcoin trading can be done with AnyOption or one-touch option. For example the current popular currency pair is BTC/USD.
SetOption - The latest option available for asset trading is BITCOIN/USD.
Bitcoin brokers provide a simple trading online platform. All you have to do is visit their website, enter your details, and create an account. You can start with demo account to understand the market action. The trading screen is simple.
Pick the price direction (UP/DOWN)
Select the timeframe
Is Bitcoin trading secure? Bitcoin network is possibly the world's vast spread computing project. The most common weakness here is the user errors. Bitcoin wallet files can get lost, stolen, or deleted accidentally just like any other files in the digital form. However, users can use sound security strategies to protect their cash. Alternatively, you could choose the service providers who offer high-level security, as well as insurance against loss or theft. We provide latest information on Bitcoin brokers and online trading platforms on our website. Please visit our website to check out the broker reviews in order to make the right choices.
UNIFICATION | $FUND | The Game Changer | The next big ONE.
https://unification.com/ Header: You can visit and check my profile how much those early birds that read my post gained in my previous calls. There are others who called it first but I re-posted it for project awareness because they are still in low mcap before. $xgm x5 $kai x4 $ring x2 $2key x3 Marketcap: 4.3 million NO ICO NO PRIVATE SALES IEO price: $0.06 https://support.probit.com/hc/en-us/articles/360031772931-Unification-UND-will-launch-IEO-with-ProBit-Exchange Current price: $0.045 A little bit history; Unification or $FUND started as $UND wherein they burned the 88% of their total supply (1billion) and undergo mainnet this past May 14th, swapped $UND to $FUND at 1:1 ratio and considered $UND as a testnet after swapping and, $FUND as their mainnet. https://medium.com/unificationfoundation/the-unification-new-genesis-event-88-of-und-supply-destroyed-37fa56484396?source=collection_home---4------7----------------------- Introduction: Unification is a hybrid public/private blockchain that connects interoperating private WRKchains to a public Mainchain. Any independent entity can deploy useful scaled solution, via WRKchains and exchange data in closed environments. WRKchains can support any DApp/smart contract and may have their own native coin (or not), all while maintaining speed and scalability. Technology: Beacon - Beacons are the best choice for singularly maintained centralized databases that require an element of trust added WrkChains - WRKChains are a Distributed Ledger Technology designed specifically for real-world enterprise and consumer adoption TokenForge - TokenForge is Unification’s WRKChain infrastructure that allows for a consortium marketplace based on tokenization My opinion: For me, this token is such a vast industry. Unification created a solution for enterprises wherein if blockchain will be used in enterprise data operations, it will clogged the network because of heavy loads. And here they are, crafted the WkrChains, it is the fucking perfect solution that world needs. If I compare Neyma to Sergey, they are almost the same, who built the perfect blockchain/token to maximize the usability and scalability of blockchain. Also, Neyma the CEO of $FUND has connections to GOOGLE and RIPPLE. Imagine, private companies, enterprises and Governments will start using WrkChains. As time passess by, $FUND will eventually grow higher and higher and higher. They already have a working WrkChain named as "FinChains", it is a decentralized price oracle developed by Yellow, it is estimated to consume more than 500k to 1million $FUND a year. Imagine, when the adoption phase begin, there are a lot of $FUNDS will be used in utility. I don't care what you say, but for me this project is belong to top 50cmc, for short 100m mc, x37 from here. Worst case is top 100cmc at 50m mc, x18 from here. Don't missed out on this one. I highly suggest it to add it on your portfolio. If you missed out on LINK, NEO, UBT ico days. Here's your chance. Tokenomics; Explorer: https://explorer.unification.io/ Circulating supply : 93,851,203 Total supply : 120,000,000 Staking: YES There are 49 million tokens currently at perma stake by the company to secure the network at 51% attack. This will be locked forever for the security of the network. This is equivalent to 1/3 of total supply. Also, 10m $FUND will be minted each year that will bring the total supply at maximum of 210 million by the year 2029. But it will be locked and will only be used to sell for enterprises for utility usage and to pay for network tax (block rewards) it means, the more WrkChains will be deployed, there will be "DEFLATION" because it will be used by enterprises etc. If those 10million minted $FUND each year is not sufficient for enterprises, they have to MARKET BUY the $FUND tokens. Good tokenomics tho. Main Goal: To deploy 100 Wrkchains this 2020 Partners: Travala.com INLAGS (Latin American Institute of Health) https://www.inlags.com/ BidiPass (https://bidipass.org/) Alpha Chain (https://alphachain.com/) Yellow (https://www.yellow.com/) Beach Head (https://www.beachhead.com/) Binance Info (https://info.binance.com/) Deployment Partners: Amazon Web Services Google Cloud Platform Microsoft Azure Exchanges: Probit (suggested exchange, NO KYC) BitForex (suggested exchange, but low liquidity) Binance Dex (Not a mainnet, needed to swap) Digifinex Bidesk (Not a mainnet, needed to swap) Useful links: 1st enterprise to adopt WrkChains https://explorer.unification.io/transactions/8F0B166542C8E95ABCFFE35D8587E665149F65457AF5A41742010CE18143DCA4 An enterprise purchase of $FUND yesterday worth $21,000 for utility usage. https://explorer.unification.io/transactions/F7A79321387AF875570E6F97BC7E909D092C9870B19E94AFCBD84ED5D7EDC268 Big Boss Capital as a Unification Validator https://endofthechain.com/big-boss-capital-is-live/amp/?__twitter_impression=true Generation Crypto AMA Recap http://gcrypto.media/unification-ama-recap/ WrkChains detailed explanation https://www.youtube.com/watch?v=4hJmV5vdG2o&feature=emb_title The Gem Hunters rated $FUND as Emerald Grade 3 https://www.thegemhunters.net/reviews A superb review of $FUND by Blockfyre, Rated $FUND a score of B7. https://blockfyre.com/unification-fund/ tehMoonwalkeR added $FUND to his list. https://twitter.com/tehMoonwalkestatus/1265281813603250179?s=19 An interesting thread by other user https://www.reddit.com/CryptoMoonShots/comments/gn0j9v/the_birth_of_fund_moonshots_part_2/?utm_medium=android_app&utm_source=share Telegram https://t.me/unificationfoundation Telegram Ann: https://t.me/UnificationOfficial Medium: https://medium.com/unificationfoundation Twitter https://twitter.com/UnificationUND?s=09 Coingecko https://www.coingecko.com/en/coins/unification Conclusion: You can apply the law of supply and demand in this token. Wherein scarcity will happen and will boost the token's price a lot and also consider the 49m permanent stake which is 1/3 of the total supply. Which means only 71 million are in the circulation. If this will be listed to another 5 more exchanges, the demand will increase which will give a massive boost to the price. Plus, add those incoming WrkChains deployment which will use about an estimation of 500k to 1million $FUND per year for utility usage. Their main goal this 2020 is to deploy 100 WrkChains. Imagine the scarcity. It will be above the rest. They worked hard 2 years for this perfect solution. Silently working and here they are, going to make a name in the industry. Try looking out for the flaws of this project. If you have any, kindly comment it here. Post Scriptum: Enjoy bagging this GEM as early as you can before it explode in corporations, enterprises and Governments and exchanges. This is my Ace card in whole crypto. FUD and bash is accepted. If you're saying 4m mcap is too high. No it's not. It's still in it's infancy phase. Also screencap this, next year it will be a happy memory that you read this post and you will thank me in the future.
Hello everyone Im a longtime lurker and decide to post my story on my second account. Im 21 (m) and just like most of the people on this sub I’m a also virgin but I don’t see myself as a loser because of that. I have been offered by people to lose my card but I choose to reject their offer because of age or because I ain’t feeling it from the person offering it. Idk I’m the type of person that wants to have an emotional connection with someone rather than a sexual one. Alright, So I come from an Hispanic Immigrant Family and I am part of the first generation to be born in the United States and first to go to college from my family (including cousins). And before I was born my destiny was set in stone as I would have the responsibility to carry my family out of poverty and into the lime light. With this my happiness was pushed aside and I was pushed to become a great student so our future would look bright but unfortunately along the way my knees buckled along the way as I was moving towards that goal. So I guess I should explain my situation which all starts with my family situation. My parents are people who were too immature and not ready to have kids and unfortunately I was the first and that meant I was the test subject for them. Now I don’t hate myself or anything in general really but I hate my Dad in fact I hate my own name because it reminds me of him (I’m jr he’s sr) and I hate that because he was the cause for so much physical abuse and I’m not talking about the stereotypical sandal moment, I’m talking about getting a toy firetruck smashed on your head. Meanwhile on the other side I was subject to emotional abuse from my mom which was due to the shitty relationship they had and I was the stress outlet for both of them. People do grow though and change along the way but I’m just too detached to them that I don’t want reconcile or continue to move forward with them. As said before I was the test subjest because by the second they improved and by the third they cracked the puzzle and finally succeeded at parenting. The thing is I am kinda jealous of my brother and sister on how they were treated and how they were able to relax and nothing was really expected of them. Which in turn has made detached from them because I have nothing in common with them but being born from the same person. Nor do I expected them to help with what was thrusted upon me one thinks shes hard and the other is lazy and cant read at all despite being in 8th grade. But besides that fact in all honesty I don’t see them as family but more as people I just live with. With my family situation in the gutter it basically set the foundation for the state of my mental health. My mental health started becoming apparent in high school around sophomore year when I started to suffer from a lack of motivation when it came to moving forward with my life. It eventually escalated as time went on and it got was worse especially after high school. Because after high school I started getting some of my old memories pop up randomly and they were all about how I was treated as kid. None of them were pleasant memories such as the firetruck incident and all the physical and emotional abuse from my past. Which in turn brought me to an existential crisis as I questioned what I was working towards and this is where my knees started buckling and succumbed to the weight of the stress and responsibility thrusted upon me without my consent and I was left wondering why am I fighting for people I never really cared about or had my best interest. So while I was dealing with all this I was trying to deal with my depression which was by focusing on something no matter how small it was. Which brings me to the light at the end of the tunnel which was Wrestling and I fell in love the moment I saw it for the first time because of the story telling aspect of it. I never understood someone’s passion for being an accountant, a manager or etc until I compared to my love for wrestling. Not only that but I don’t see it as just a sport but as a way out because it was the only thing that was able to keep me going. No matter how far I go back wrestling was always a part of my fun childhood moments unfortunately. Wether it be playing with my friends, or watching it on tv. As time went on I even eventually got tired of watching it and wanted to be apart of it and wanted to make a career but their is no money to be made when starting out. So I gave up and decided to go to school and I am currently one year and a half from graduating but I just couldn’t take it anymore, because I wasn’t able to get internships and it wasn’t something I could see myself doing for the rest of my life. So on News Years some shit went down and I decided that 2020 would be the year that I would be happy by taking the steps necessary to focus on wrestling but unfortunately Covid hit so I couldn’t pursue that and eventually I stopped working out and just let everything go and pass me by as I shut myself in my room and only go out to work. Which leads to where I am now. But before that I kept on mentioning an event that happened on News Years and that was where we went to visit my cousins in arizona and from their we went to Flagstaff where it snows and I was at awe because I just love the snow since I’m from California I don’t get too see much of it. Along the way back my mom was complaining the whole time as she wanted to go back home instead of Flagstaff and kept at it for the whole trip including insults and stuff about our cousins. It got bad to a point where I just wanted to jump out the car but since I was driving I didn’t want to take anyone’s else’s life with me nor did I want to cause a car crash as I was on the freeway. We went to eat later that day and she just kept at it and while I was their I went to the bathroom and broke down as I was praying for someone to save me and looking for a way to end my life. Instead of that I gave myself an ultimatum and that was if I don’t change my position in life by the end of 2020 I would unfortunately bite the bullet because I just need a Way Out of this place/situation I’m in. I’m doing this ultimatum because I’m hoping it will motivate me to continue moving forward. Its currently august and I have payed of my debts, dropped out of school (hated my major), quit my job and got another one (thinking about quitting my new job), and I picked up forex in hopes of making money that way. With 4 months left on my ultimatum it seems like I haven’t done much but it’s whatever. The thing is people have the impression that if you talk about your problems you will magically be saved but I could talk to someone about my problems for days but the thing is I don’t need to talk about my problems what I need is a way out of my current position in life and I have thought about spending a month in Japan just exploring and spending my last month alive their but Covid unfortunately came along and ruined what hope I did have if I were able to describe my situation in a song it would be the song Maze by Juice WRLD and the song Come back to Earth by Mac Miller. The things is if I die I’m gonna miss trivial things like not being able to see the ending of Attack on Titan, Solo Leveling, My Hero Academia, Wings, McDonalds, In-n-out, Pizza, Food/Anime/Wrestling in general, the new music I’m gonna miss or even seeing what path my little cousin is going to take as he grows up. And Depending on what I choose to do moving forward I will try to update you guys with my progress and if I don’t then I guess I bite the bullet. Anyways thanks for reading my story feels more like a Memoir but I just wanted to get this of my chest. SideNote: Also sorry for it being so long but this is just the surface theirs actually a lot more I could go into detail but I went on long on enough.
PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/ PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/ Edit: By popular demand, the too long didn't read is now at the top TL;DR SPY 220p 11/20 This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon. The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Some important terms to keep in mind: § Discrete – terminal points at the extremes of ranges § Secondary Discrete – quantified retracement or correction between two discrete § Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things. § Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached. § VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX. As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
Trend Definition Analysis
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out. Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours. Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19 Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12 Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31 Monthly Lows:3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1 Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31 Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.* We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram. 7/3/20, 7/27/20, and 11/3/20, 11/27/20 . How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20. The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking. Therefore, our timeline looks like:
11/14/20 - yearly low (selected from histogram averages, 11/15/20, and the 8.6 Year Confidence model)
7/28/21 - End of bear market (18 month average of 8/9, averaged with histogram date of 7/15)
4/14/22 - lesser correction.
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons. I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later. The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
Share of world GDP from 2.43% in 2014 to 3.08% in 2018
Average GDP 7.3% against 6.7% in previous regime
Forex reserves from 300 bn USD in 2014 to 420 bn USD in 2018
Doubling of FDI inflow from 36 bn USD in 2014 to 66 billion USD in 2018
Inflation less than 2.3 % (Nov 18) against 10.1% in 2014
Growth of sensex from 24,121.74 in 2014 to 36,395.03 on 12 Feb 19 (50.88%)
Fiscal deficit under control
Per capita income increased by 45% from Rs 86,647 in 2014 to Rs 1,25,397
IT exemption from 2 lakh in 2014 to 5 lakh (effectively 9.85 lakh with home loan)
Restaurant bills tax reduced from 18% in 2014 to 5%
Transaction charges through card down from 1% to 0%, domestic money transfer fee down from Rs 5 in 2014 to zero
Financial inclusion (32 crore bank accounts with 260 billion worth deposits). Almost 100% coverage from earlier 50%
DBT (savings of 83000 crores @ 15000 crore annually), No of govt schemes DBT applied to increased from 34 in 2014 to 433, 2.7 lakh fake mid-day meal students, 3.3 crore fake LPG connections, 87 lakh fake MNREGA job cards, 3 crore fake ration cards eliminated
Zero IT for businesses with turnover upto 60 lakhs
GST exemplifying cooperative federalism, rates of 83 items down from pre-GST rates, out of 1211 items only 35 items in above 18% slab, 39% reduction of cost of basic household items. Average 1 lk crore monthly revenue through GST collection. Exempted for business upto 40 lk
Insolvency and Bankruptcy Code, constitution of NCLT, 3 lakh crores of NPAs recovered, 66 cases resolved, 260 cases liquidated, resolution of stressed assets, 2100 companies pay back 83000 crore to banks settling their pending loan repayments
75 billion $ or Yen to Rupee exchange agreement with Japan
2.92 lakh km of optical fibre laid, 0.02% to 50% gram Panchayat connectivity
Swachh bharat mission has saved, according to WHO, 3 lakh lives and will save 1.5 lakh lives per year.
IT filers increase from 3.79 crore to 6.08 crore, enterprises registered for indirect tax up from 64 lk to 118 lakh
Entry of India in global regimes Missile Technology Control regime (MTCR), WA (Wassenaar Arrangement) and Australia Group
17 crore soil health cards
1.5 crore houses built, 91.37 crore in rural areas and 13.5 lakh in urban areas against 25 lakh houses built between 2010-2014. House for all target year is 2022.
1,78,346 houses built in NE over existing 2875 houses built till 2014
Home loan interest rate down from 10.3 % in 2014 to 8.4% in 2018, annual savings of Rs 47,160 for 30 lakhs over 30 years, no GST on affordable housing, 5% on remaining
Trading agreement in rupee with Iran and UAE
Common service centres up from 84k to 3 Lakh
OROP implemented after 43 years, 35000 crores disbursed to 8 crore veterans
India's vaccination programme Indradhanush amongst 12 best practices of world
5035 Jan Aushadhi and - 1054 medicines under price control (60-90% discounts).
More than 150 Amrit stores, reduction of cost of cromium cobalt Knee implant from 1.58-2.5 lakh to 54,720 and high flex implant from Rs181728 to 56490 (69%), 85% reduction in cardiac stent price to Rs 28000
87% reduction in 400 cancer drugs
Rate of Interest on higher education loans dropped from 14.75 in 2013 to 10.88% in 2019, savings of 1.18 lakh on 10 lakh loan over tenure of 60 months, Rs 2000 savings on EMI
Data revolution: Cost of 1 GB $0.26 in India against $12.37 in US, $6.66 in UK and $75.2 in Zimbabwe. Unlimited mobile+ 45 Gb data = Rs 150 against Rs 1000 in 2013; annual savings of 10,200
Katra rail line work completed after 16 years
Dhola Sadiya bridge work completed after 16 years
Sardar Sarovar Dam work completed after 15 years
Pakyong airport completed after 10 years
Chennai Nashri Tunnel after 10 years
Assam NRC after 40 years
National War Memorial after 50 years
NE cpas after 60 years
Kollam bypass after 43 years
Indo-Bangladesh enclaves after 42 years
Bansagar canal project after 40 years
Bogibeel bridge after 23 years
Western peri expressway after 15 years
Kota Chambal bridge after 11 years
Maibang-Lumding Stretch completed
Delhi Meerut Expressway completed
Ganga Expressway project (world's longest) underway
Metros in Ahmedabad, Nagpur, Jaipur, Lucknow, Washermenpet
All umanned level crossings eliminated
Ayushman Bharat: annual 5 lakh health care to every family, 15.05 lakh hospital admissions for secondary/ tertiary treatment, 2.4 crore e-cards generated as on 10 Mar 19 in 170 days. Target 50 crore people.
59minutes loan portal: 92,000 loan applications of MSME amounting to 30,000 crores approved, 6000 crores sanctioned till Nov 18
87% of farming house (owning land of 2 hctrs) or 12 cr ppl to get kisaan sammaan nidhi of Rs 6000 pr year. Rs 5215 cr transferred directly to 2.6 crore farmers in 37 days (for households with holding less than 0.01 hectares incm per month so far was Rs 8136 agnst exp of 6594
1.5 million electric rickshaws
Procurement of 36 Rafale on Government to Government Basis avoiding middlemen
05 billion$ S 400 Triumf air defence missile system deal with Russia
Udaan scheme - flight cost down from Rs 5000/1000 km in 2013 to 3400/1000 km in 2018, 34 airports operationalised, small towns connected, all states on aerial
Preventive conservation of 39275570 folios, curative conservation of 3656863 filios, digitisation of 2.83 lakh manuscripts consisting of 2.93 crore pages
India is now world's largest 2-wheeler manufacturer, 2nd largest smartphone manufacturer (94% of mobiles sold now made in India), 4th largest automaker, 2nd largest steel producer
5100 m Mandvi Bridge in Goa in 3.5 years
Ease of doing Business ranking jump from 134 in 2014 to 77 in 2019
Therubali - Singapur Bridge No 588
Restoration of Asurgarh Fort, Kalahandi
GeM portal with 731431 product categories, 180,862 registered sellers and 32114 govt buyers
10% EWS reservation
40% of ongoing 700 NH projects completed, adding 40,039 km between 2014-18 against 91,287 km between 1947-2014
Highway construction rate jumped from 12 km/day in 2014 to 27 km/day in 2019
101 terrorists and 11 offenders extradited
90,000 ex-partite Indians evacuated
Chabahar port, Sittwe port and Duqm port
Military installation in Seychelles
International logistics agreements with US, France and Singapore
Work underway on 25 MLD ZLD Common Effluent Treatment Plant at Gujarat Eco Textile Park and will save 25 million litres of water per day
Beautification of 65 railway stations, all stations fitted with LED lights, wi-fi, multi-brand food centres, kiosks, executive lounges, lifts (445 from 97 in 2014), escalators (603 from 199 in 2014), travellators and ramps
100% electrification of railways underway, first solar powered railway station (Guwahati). First solar powered train (world's second), savings of Rs 40 Lakhs and 90,000 ltrs diesel per year
Make in India semi-high-speed trains - Tejas, Gatiman and Vande Bharat
Humsafar and Antodaya trains, Deen Dayalu and Anubhuti coaches, UDAY double decker, glass dome Vistadome coaches
Project Swarn and Project Utkrisht to upgrade Rajdhani/Shatabdi and Mail/Express respectively
Largest coach production in world at ICF, Chennai
No more human extreta on railway tracks. Installation of 1.37 lakh out of 2.5 lakh completed in Jun 18.
400 wi-fi railway stations (Aug 18)
80% reduction in rail accidents
10 high speed rail corridors underway, target date 2025-26
Export of world class customised coaches from MCF, Rae Bareli
LIC and Air India register profit
2300 km rail tracks constructed, speed jumped from 4.1 km/day in 2014 to 6.53 km/day in 2018
Neem coating of urea
Gokul mission - record 160 million ton milk production
Online availability of CBSE and NCERT books
10 crore LED bulbs distributed, 5000 crore savings
Investment in urban infrastructure jumped from 157703 crores to 795500 crores
Statue of Unity to commemorate Iron Man of India
Rs 2509 crore sales in Khadi
482.36 million digital transactions worth Rs 74,978 crores in Oct 2018 against 0.3 million transactions worth Rs 90 crores in Nov 2016
30% increase in ATMs, 208% increase of PoS machines from 10.81 lakh in May 14 to 33.32 lakh in Aug 18, 111% increase in credit cards from 1.94 crore in May 14 to 4.10 crore in Aug 18, 144% increase in debit cards from 40.17 crore to 98.02 crore
Ease of Doing Business Index 142 (2014) to 100 (2018)
Ease of getting electricity index 99 (2014) to 26 (2018)
UN's e-govt index 118 (2014) to 97(2018)
Globalisation index 112 to 107 (2018)
Innovation index 76 to 60 (2018)
Competitiveness index 71 to 39
Logistics performance index 54 to 35
Global peace index 141 to 137
DBR ranking 100 to 77
India ranks 3rd in global start up ecosystem
06 crore jobs in MSME sector based on CII data
448 million formal jobs based on EPFO, NPS and PPF data
10 crore jobs in entrepreneurship via mudra and other schemes
80% increase in tax payers, 51.3 % increase in gross tax revenue
Black Money report card - Voluntary income declaration scheme (Rs 65250 crore), IT search and survey operations (35,460 crore), Pradhan Mantri Garib Kalyan Yojana(5000 crore), Benami transactions Act (4300 crore), Black Money and Imposition of Tax Act (4100 crore)
160 Rs 6000 financial assiatence for pregnant women 161/1 . Sagarmala: port capacity increase from 8 to 14.7 lakh ton, cargo up from 89 to 116 MMT 8 new national waterways including ganga waterway NW-1 and Brahmaputra waterway NW-2. 161/2. domestic cruise service between Mumbai and Goa, ro-ro services on Ghoga-Dahej reducing travel distance from 294 to 31 km 161/3. New international cruise terminals at Chennai and Goa, railway line between Haridaspur and Paradip underway, LNG import terminal at Kamarajar port, Oil berth ai Jawahar Dweep,Coal berth at Mangalore port 161/4 . deep draft Iron ore berth at Paradip berth, JNPT SEZ, Kandla and Paradip smart industrial port city, largest dry dock and international ship repair facility at CSL, modernisation of 17 fishing harbours
800 km Delhi-Mumbai Expressway underway
Replacement of bio-toilets with upgraded vacuum bio toilets in trains underway. Order for 500 placed on experimental basis.
No terror strikes in hinterland
103 new KVs
62 new Navodaya Vidyalayas
6 new IITs against 16 in previous 57 years
6 new IIMs against 13 in previous 57 years
7 IIITs against 7 in previous 57 years
02 new IISER
12 new AIIMS against 7 in previous 57 years.
141 new universities against 30 in previous 57 years
01 new NIT
Life Insurances @ Rs 12 annual and @ Rs 12 monthly premiums
Atal Pension Yojana
Pension to 42 crore people of unorganised sector
BHIM application for digital payments
Khelo India Initiative for tracking of athletes' development, Rs 5 lk per annum scholarship for 1000 budding athletes per year for eight years each; monthly Rs 50000 out-of -pocket exptr, 2000 PETs, salary cap of coaches doubled from Rs 1-2 lk per month, target 15 yrs
Special Task Force for Olympics
Bullet train maiden project
182/1. Rs 6.92 lakh crore Bharatmala project, 44 economic corridors with 9000 km road, 2000 km port connectivity, 9000km roads to connect district HQs with NH, 182/2. 2000 km road with Nepal, Bhutan, Bangladesh and Myanmar, opening up of 185 choke points, road development to char dham, 12 greenfield expressways spanning 1900 km
36 murtis retrieved and brought back to India in 2014-2019 under India Pride Project against 02 between 2000-2013, 02 in 90s, 03 in 80s, 01 in 70s and nil in 50s and 60s
Unemployment rate 3.8% against 13.8 % in 2013
India is a less-cash society now
Develpment of Trincomalee and Columbo port while checkmating China's Hambantota by taking operations of near by (15 km away) Mattala Rajapaksha International Airport
Plugging the 'double taxation avoidance' black money loophole through a new tax agreement with Mauritius
Deal with Switzerland for automatic tax data sharing from 01 Jan 2019
189/1 Varanasi - Varanasi ring road phase 1 completed, phase 2 underway, inland waterways terminal, Babatpur airport highway, 140 MLD Dinaput STP, facelift to railway station, big cow shelter for stray cattle, BPO centre, piped gas project, Varanasi-Balia rail project, 189/2. Vande Bharat Express, Kashi Vishwanath temple - Ganga Ghat corridor project, renovation of all bathings ghats, LED illuminations of ghats and major roads, underground electricity cabling, 189/3. new sewage plants, 02 cancer treatment facilities, 65th to 29th rank in swachhata sarvekshan (2016), 90% ODF district.
Creation of 100 Smart cities, 100 crore per year per city for 05 years, 500 acres for retrofitting, 50 acres for redevelopment, 250 acres for green field projects, 10% of energy from renewable resources, 80% of green building construction, special purpose vehicles.
191/1 Development of 500 AMRUT cities underway, urbanization project of rejuvenation and transformation which includes beach front development, prevention of beach erosion, improvement of water supply, replacement of pipelines, 191/2. New sewerage connections, greenery and open spaces, digital and smart facilities, e-governance, LED streetlights, public transport, storm water drainage projects in a phased manner, Target date 2022
Increase in Child Sex Ratio (CSR) in 104 BBBP (Beti Bachao Beti Padhao) districts, anti-natal care registration in 119 districts and institutional deliveries in 146 out of total 640 districts as in Mar 18. CSR of Haryana increased from 871 to 914.
International Yoga Day
Aspirational Districts Programme: 115 'backward' districts placed under 'prabharis' and for competitive development on the basis of 49 performance indicators, target year 2022.
195/1. Make in India: 16.4 lakh crore investment committments, 1.5 lakh crore investment inquiries, 60 bn USD FDI, 26 sectors covered, 23 positions jump in World Bank's Doing Business Report (DBR), 32 places in WEF's Global Competitiveness Index (GCI), 195/2 19 places in Logistics Performance Index, 42 places in Ease of Doing Business index, schemes include Bharatmala, Sagarmala, dedicate freight corridors, industrial corridors, UDAN-RCS, Bharat Broadband Network, Digital India.
251 Passport Seva Kendras (PSKs) and Post Office Passport Seva kendras (POPSKs) against 77 till 2014, target of one PSK every 50 km across India.
Unanimous election of Justice Dalveer Bhandari to ICJ forcing UK to pull out own nominee Christopher Greenwood, demonstrating India's clout in international arena.
India Post Payments Bank: India's biggest banking outreach with 1.55 lakh post offices (2.5 times banking network) linked to IPPB system
Philip Kotler award, Seoul Peace prize, Champion of the Earth Award, Grand Collar of the State of Palestine, Amir Abdulla Khan Award, King Abdulaziz Sash award, Amir Amanullah Khan award.
1900 gifts and memorabilia received by Modi auctioned and 11.7 crores added to Namami Gange fund, 1.4 c of Seoul Peace award also to Nammami Gange.
Removal of article 370 and thereby also 35a after several decades.
Giving citizenship to persecuted minorities in Pakistan, Bangladesh and Afghanistan through passing of CAA.
Trust for creation of Ram Mandir underway.
Abolishment of Haj subsidy.
Abolishment and criminalization of instant triple talak.
Deal with Bodo community.
Getting Maulana Masood Azhar listed as an UN designated terrorist.
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
funny to see that subject pop up again. it was what drove me insane enough to find this sub in the first place. at any rate, the problem is not the bots. I thought it was, but those are just part of the parasitic ecosystem. but to get that, first we need to take a few steps back on web history, ad serving, UX, tracking technology and media advertising. too lazy to gather links, but you know, do your googlin'. I assume that most of you are fairly web literate here, but I'll try to go down into the bare bones as much as possible for those who aren't. so let's start with a basic question - what is a web visitor anyway? from the standpoint of a normal person, that would be a person browsing a given website or piece of content. from the standpoint of technology however all you know is that some device has downloaded content from your server using the http protocol. thanks to the wonderful technology of web browsers, you can plant browser cookies on a visitor - stuff that's used to remember if they logged in, what their preferences are, stuff that your service can read from the device. it also serves usually very basic telemetry like last visit time, session time, and so on. this, over time has evolved in what we call browser fingerprinting, a convoluted bunch of technology that allows websites and web services to uniquely identify you. it still doesn't know if you're a human or not, but from the standpoint of the web technology, you're a visitor. now back in ye old days of the web, when the first banner ads were springing up, these were important questions. most consumers were still to be reached on traditional media channels, and ad spend would have to be justified somehow on the risky ventures of online business. so beyond traditional polls that would infer the value of visitors, websites would start tracking number of visitors, time on page and so on. these were used to milk the advertising cow so to speak, and it gave in to some funny developments like the creation of the popup ad - if I recon correctly on geocities, where they would just but the ads everywhere until some big auto company noticed that they're appearing on porn sites. so - put the ad in the popup, and you can claim it's not in the context of porn! around this point in time the online ad business is still pretty low tech. you actually have to call a physical human being, they send you ppts and pdfs, you send back image files and excel sheets, you wire money, the ads run, and so on. this is called direct sales, and it's tracked again by counting a bunch of visitors, and telling you how much impressions and clicks your marvelous creatives and ad budget generated. now enter google - or more precisely, a technology firm called doubleclick that was to be acquired by google. they developed a tool for automatic ad serving, later to be called programmatic advertising, that keeps the pesky sales dude out of the loop and achieves reasonable amounts of scale for a more hefty price - after all, if the sales are automated, you get a bidding war for attention between different advertisers, and you're paying for clicks. so you can see how this was a strategic move for google - they already had the most valuable data available in this situation. they were seeing in real time what people were searching for, and using the programmatic ad serving system, you could effectively bid not just for general attention - but for attention with an intent to buy. ...and the way that google got this data is because they indexed the web, using bots. at least GoogleBot would identify itself as a site visitor, but in the meantime they developed a service for websites to comprehensively track their own visitors and where they were coming from and what they were doing on your website. incidentally, you could also put on google's ads on your webpage to earn quite a bit of money, as content relevant ads would be shown through the doubleclick system. this kicked off two things: one, the ability to classify your website visitors into different clusters and segments allowed businesses to start tailoring the appearance of the website or service to fit that specific audience segment, starting off the great fracture - segmentation of the web (in the sense that two people viewing the same website at the same time were not seeing the same thing) two, it created a very strong financial incentive for people to trick google into thinking they were having actual human visitors that would click on ads, when in fact they were bots. in an even funnier twist, some of them were from browser hijackers, commonly known as malware at the time, which google cross-financed. look up download valley and crossrider. at the cross section of the above two, you had one interesting twist: websites that would appear differently to the security bots or the compliance officers of Google as they would to fake visitors or malware jacked human beings. the former would get a benign looking website, while the latter would get bombarded with auto clicking ads. this kicked off the billion dollar arms race called online advertising fraud. I'm not here to shed a tear for big money corps bleeding money. the real fallout lay somewhere else, but for that you have to understand that you never really saw the real internet, you only saw your corner and the one that was personalized for you. but if you ever had the pleasure of watching daytime TVs or off channels and witnessing the ads, you could kind of infer what kind of audience must be watching these shows generally. from quite clear rip offs to magic number lotteries and television fortune telling, these sorts of programming was aimed at the most gullible, bought for pennies, where the smallest audience portion had to be converted into a money making operation. ...and with audience segmentation and data gathering, that was now possible at unprecedented scale, automatically. so big was the scale in fact, that it gave birth to an entire new beast of an industry called affiliate marketing, where instead of a regular payroll, you'd get a cut of the sale should you figure out an angle on where to push whatever fucking bullshit the vendors were offering to whoever the fuck would be dumb enough to click on an ad and buy. (the funniest story I recall was someone pulling five figures a month because he figured out that if you buy ads on anime-hentai pages and sell PUA shit courses and e-books you'd make a killing) at any rate, affiliate marketing brought with it the killer landing page, the thing that's supposed to hammer the nail in the coffin once you get through the banner ad. the earliest form of deceptiveness in memory comes from various pirate sites, that had fake download buttons as banner ads and virus alerts as the landing pages. but then at some point, some schmuck realized that for certain type of products, like diet pills or forex trading or whatever, the best lander is in fact a fake news page that comes packed with comments and all. that would convert like crazy, because it had the appearance of social proof. until at least the lawsuits came raining down, and these sorts of landing pages and campaigns for being banned left right and centre on all platforms. which just launched a new arms race as the campaigns would be disguised for the bots doing the checkups, and aged facebook profiles would start selling for like 5K USD - these people were making 30-40k a day, they could afford to spend that much to continue running the shop. speaking of facebook - it came just about the right time for the shit to brew max total. first they were unprecedented in the amount of data they were getting off of their users, and they came just in time to catch the full swing of what we call the 'responsive web' - that no user at the same time would see the same thing on their page, it was all allocated through an intricate web of recommendations, running real time, based on previously gathered and forecast behavioral data. it also ran on one simple premise: take over the starting page position from google for most people, then they do not have to justify, ever, any ad spend that takes place on their platform, as long as it performs. furthermore, it was completely lacking any revenue share sort of scheme (save for the short period of facebook gaming, see Zynga), thus there was no incentive for the amount of bot traffic that the previous internet era had bred. instead, it came with an entirely different one - bots that would offer social proof in the way of shares and likes, but would not directly risk the business model, thus giving no incentive for facebook to fight them. (note that google didn't do much jack shit either besides indiscriminately penalizing websites it deemed suspicious when they reached critical payout thresholds) the rest of the story you kind of sort of know. how the obama campaign was brilliant in using the new social media to inspire hope and blah blah blah, kicking the door open for big money politics who could hire the best snake oil salesmen in the market, who had the data and as you can see from the above, had the ethical standards of a shoe. at around 2014-2015 the press (the mainstream media) started to raise question about the duopoly, the buzzword of filter bubbles started appearing, not entirely unrelated to the fact that facebook by this time cannibalized their traffic with a fucking embedded share / like button and started charging money for them to reach their own audience. after 2016 the cries of fake news were everywhere, because there was no online space left which everyone was viewing the same way, and you had no way to verify what the person next to you was looking at. since then, we've all become grandpa yelling at the television set, with nobody around us seeing what we're seeing on the screen, so we're being accused as bots and looking for bots under the carpet. but it's been a long way coming, and the bots are honestly the least of our worries. trust me, I went bankrupt over that one. truth or fake doesn't even begin to describe the magnitude of the problem: more like we entered the phase where every word, event or picture is defined by who ever the fuck wins the auction over it, as the marketers of human attention grind the gears of the money mill without even understanding how fast they're digging towards hell. don't believe me? look around the marketing and advertising related subs these days. the priests are eating the indulgences, and we're only now entering the period of deep fakes, good algo generated audio and good enough NLP. and in the meantime, the shadowrunners running up between two corp headquarter-highrises are skinning your belief systems. so the best you can do is really, not litter the remnants of cyberspace which are not being mined, astroturfed or being pulled apart by the algos. no human connections on a nuclear trash heap mate.
I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.
ok, so firstly, all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those. Next, I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether. Then, Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think! THEN, Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of. Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at. Oh, and one more thing. All of this work took about 7 months in total. Right, let's jump in. So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things. Here are the categories:
News Text Mining. - This is where they'd use NLP on headlines or the body of news as a signal.
Social data - Twitter Sentiment/Google Search/Seeking Alpha. Again, some were NLP, for google trends they just used the data.
Technical Analysis & Machine Learning together. Most of these would take the price, add TA features, then feed into a ML model.
Other machine learning (as in, not using TA). Just using the price and some other engineered features.
Analyst Recommendations. Literally just taking the recommendations from banks/brokers and using that as the signal.
Fundamental data. So ratios from the income statement/balance sheet,
Results: Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears. Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :) Now, results from the two most popular categories were:
*Social data.*A lot of research papers were extensions of or based off of a paper by Johan Bollen called "Twitter mood predicts the stock market". It literally has 3,955 citations and is complete and utter horse shit; the paper is p-hacking to the extreme. Not only could I not reproduce the results, but given the number of sentiment indicators he uses I regularly found correlations between sentiment and my data based on how I engineered it. None of these correlations held over longer time periods. Every paper that's a derivative of this one or cites it has the same issues.
*Technical analysis & machine learning.*Every paper would do something along the lines of.. take past price data for some asset (stocks, forex), then add technical analysis indicators as "features". Then either they'd run through a feature-selector that figures out the best features then put the best ones into a model OR they'd dump this data straight into the model and afterwards select the subset of instruments that it "worked" on. None of these would hold if you k-fold test them or test on different subsets of data outside of the ones used in the paper. The results are always based off of selecting favourable subsets of data.
The most frustrating paper: I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think). The two positive take-aways that I did find from all of this research are:
Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort. So in conclusion, if you're building trading strategies. Simple is good :) Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
https://preview.redd.it/gp18bjnlabr41.jpg?width=768&format=pjpg&auto=webp&s=6054e7f52e8d52da403016139ae43e0e799abf15 Download PDF of this article here:https://docdro.id/6eLgUPo In light of the recent fall in oil prices due to the Saudi-Russian dispute and dampening demand for oil due to the lockdowns implemented globally, O&G stocks have taken a severe beating, falling approximately 50% from their highs at the beginning of the year. Not spared from this onslaught is Hibiscus Petroleum Berhad (Hibiscus), a listed oil and gas (O&G) exploration and production (E&P) company. Why invest in O&G stocks in this particularly uncertain period? For one, valuations of these stocks have fallen to multi-year lows, bringing the potential ROI on these stocks to attractive levels. Oil prices are cyclical, and are bound to return to the mean given a sufficiently long time horizon. The trick is to find those companies who can survive through this downturn and emerge into “normal” profitability once oil prices rebound. In this article, I will explore the upsides and downsides of investing in Hibiscus. I will do my best to cater this report to newcomers to the O&G industry – rather than address exclusively experts and veterans of the O&G sector. As an equity analyst, I aim to provide a view on the company primarily, and will generally refrain from providing macro views on oil or opinions about secular trends of the sector. I hope you enjoy reading it! Stock code: 5199.KL Stock name: Hibiscus Petroleum Berhad Financial information and financial reports: https://www.malaysiastock.biz/Corporate-Infomation.aspx?securityCode=5199 Company website: https://www.hibiscuspetroleum.com/
Hibiscus Petroleum Berhad (5199.KL) is an oil and gas (O&G) upstream exploration and production (E&P) company located in Malaysia. As an E&P company, their business can be basically described as: · looking for oil, · drawing it out of the ground, and · selling it on global oil markets. This means Hibiscus’s profits are particularly exposed to fluctuating oil prices. With oil prices falling to sub-$30 from about $60 at the beginning of the year, Hibiscus’s stock price has also fallen by about 50% YTD – from around RM 1.00 to RM 0.45 (as of 5 April 2020). https://preview.redd.it/3dqc4jraabr41.png?width=641&format=png&auto=webp&s=7ba0e8614c4e9d781edfc670016a874b90560684 https://preview.redd.it/lvdkrf0cabr41.png?width=356&format=png&auto=webp&s=46f250a713887b06986932fa475dc59c7c28582e While the company is domiciled in Malaysia, its two main oil producing fields are located in both Malaysia and the UK. The Malaysian oil field is commonly referred to as the North Sabah field, while the UK oil field is commonly referred to as the Anasuria oil field. Hibiscus has licenses to other oil fields in different parts of the world, notably the Marigold/Sunflower oil fields in the UK and the VIC cluster in Australia, but its revenues and profits mainly stem from the former two oil producing fields. Given that it’s a small player and has only two primary producing oil fields, it’s not surprising that Hibiscus sells its oil to a concentrated pool of customers, with 2 of them representing 80% of its revenues (i.e. Petronas and BP). Fortunately, both these customers are oil supermajors, and are unlikely to default on their obligations despite low oil prices. At RM 0.45 per share, the market capitalization is RM 714.7m and it has a trailing PE ratio of about 5x. It doesn’t carry any debt, and it hasn’t paid a dividend in its listing history. The MD, Mr. Kenneth Gerard Pereira, owns about 10% of the company’s outstanding shares.
Reserves (Total recoverable oil) & Production (bbl/day)
To begin analyzing the company, it’s necessary to understand a little of the industry jargon. We’ll start with Reserves and Production. In general, there are three types of categories for a company’s recoverable oil volumes – Reserves, Contingent Resources and Prospective Resources. Reserves are those oil fields which are “commercial”, which is defined as below: As defined by the SPE PRMS,Reservesare “… quantities of petroleum anticipated to be commercially recoverable by application of development projects to known accumulations from a given date forward under defined conditions.” Therefore, Reserves must be discovered (by drilling, recoverable (with current technology), remaining in the subsurface (at the effective date of the evaluation) and “commercial” based on the development project proposed.) Note that Reserves are associated with development projects. To be considered as “commercial”, there must be a firm intention to proceed with the project in a reasonable time frame (typically 5 years, and such intention must be based upon all of the following criteria:) - A reasonable assessment of the future economics of the development project meeting defined investment and operating criteria;- A reasonable expectation that there will be a market for all or at least the expected sales quantities of production required to justify development;- Evidence that the necessary production and transportation facilities are available or can be made available; and- Evidence that legal, contractual, environmental and other social and economic concerns will allow for the actual implementation of the recovery project being evaluated. Contingent Resources and Prospective Resources are further defined as below: -Contingent Resources: potentially recoverable volumes associated with a development plan that targets discovered volumes but is not (yet commercial (as defined above); and)-Prospective Resources: potentially recoverable volumes associated with a development plan that targets as yet undiscovered volumes. In the industry lingo, we generally refer to Reserves as ‘P’ and Contingent Resources as ‘C’. These ‘P’ and ‘C’ resources can be further categorized into 1P/2P/3P resources and 1C/2C/3C resources, each referring to a low/medium/high estimate of the company’s potential recoverable oil volumes: - Low/1C/1P estimate: there should be reasonable certainty that volumes actually recovered will equal or exceed the estimate;- Best/2C/2P estimate: there should be an equal likelihood of the actual volumes of petroleum being larger or smaller than the estimate; and- High/3C/3P estimate: there is a low probability that the estimate will be exceeded. Hence in the E&P industry, it is easy to see why most investors and analysts refer to the 2P estimate as the best estimate for a company’s actual recoverable oil volumes. This is because 2P reserves (‘2P’ referring to ‘Proved and Probable’) are a middle estimate of the recoverable oil volumes legally recognized as “commercial”. However, there’s nothing stopping you from including 2C resources (riskier) or utilizing 1P resources (conservative) as your estimate for total recoverable oil volumes, depending on your risk appetite. In this instance, the company has provided a snapshot of its 2P and 2C resources in its analyst presentation: https://preview.redd.it/o8qejdyc8br41.png?width=710&format=png&auto=webp&s=b3ab9be8f83badf0206adc982feda3a558d43e78 Basically, what the company is saying here is that by 2021, it will have classified as 2P reserves at least 23.7 million bbl from its Anasuria field and 20.5 million bbl from its North Sabah field – for total 2P reserves of 44.2 million bbl (we are ignoring the Australian VIC cluster as it is only estimated to reach first oil by 2022). Furthermore, the company is stating that they have discovered (but not yet legally classified as “commercial”) a further 71 million bbl of oil from both the Anasuria and North Sabah fields, as well as the Marigold/Sunflower fields. If we include these 2C resources, the total potential recoverable oil volumes could exceed 100 million bbl. In this report, we shall explore all valuation scenarios giving consideration to both 2P and 2C resources. https://preview.redd.it/gk54qplf8br41.png?width=489&format=png&auto=webp&s=c905b7a6328432218b5b9dfd53cc9ef1390bd604 The company further targets a 2021 production rate of 20,000 bbl (LTM: 8,000 bbl), which includes 5,000 bbl from its Anasuria field (LTM: 2,500 bbl) and 7,000 bbl from its North Sabah field (LTM: 5,300 bbl). This is a substantial increase in forecasted production from both existing and prospective oil fields. If it materializes, annual production rate could be as high as 7,300 mmbbl, and 2021 revenues (given FY20 USD/bbl of $60) could exceed RM 1.5 billion (FY20: RM 988 million). However, this targeted forecast is quite a stretch from current production levels. Nevertheless, we shall consider all provided information in estimating a valuation for Hibiscus. To understand Hibiscus’s oil production capacity and forecast its revenues and profits, we need to have a better appreciation of the performance of its two main cash-generating assets – the North Sabah field and the Anasuria field. North Sabah oil field https://preview.redd.it/62nssexj8br41.png?width=1003&format=png&auto=webp&s=cd78f86d51165fb9a93015e49496f7f98dad64dd Hibiscus owns a 50% interest in the North Sabah field together with its partner Petronas, and has production rights over the field up to year 2040. The asset contains 4 oil fields, namely the St Joseph field, South Furious field, SF 30 field and Barton field. For the sake of brevity, we shall not delve deep into the operational aspects of the fields or the contractual nature of its production sharing contract (PSC). We’ll just focus on the factors which relate to its financial performance. These are: · Average uptime · Total oil sold · Average realized oil price · Average OPEX per bbl With regards to average uptime, we can see that the company maintains relative high facility availability, exceeding 90% uptime in all quarters of the LTM with exception of Jul-Sep 2019. The dip in average uptime was due to production enhancement projects and maintenance activities undertaken to improve the production capacity of the St Joseph and SF30 oil fields. Hence, we can conclude that management has a good handle on operational performance. It also implies that there is little room for further improvement in production resulting from increased uptime. As North Sabah is under a production sharing contract (PSC), there is a distinction between gross oil production and net oil production. The former relates to total oil drawn out of the ground, whereas the latter refers to Hibiscus’s share of oil production after taxes, royalties and expenses are accounted for. In this case, we want to pay attention to net oil production, not gross. We can arrive at Hibiscus’s total oil sold for the last twelve months (LTM) by adding up the total oil sold for each of the last 4 quarters. Summing up the figures yields total oil sold for the LTM of approximately 2,075,305 bbl. Then, we can arrive at an average realized oil price over the LTM by averaging the average realized oil price for the last 4 quarters, giving us an average realized oil price over the LTM of USD 68.57/bbl. We can do the same for average OPEX per bbl, giving us an average OPEX per bbl over the LTM of USD 13.23/bbl. Thus, we can sum up the above financial performance of the North Sabah field with the following figures: · Total oil sold: 2,075,305 bbl · Average realized oil price: USD 68.57/bbl · Average OPEX per bbl: USD 13.23/bbl Anasuria oil field https://preview.redd.it/586u4kfo8br41.png?width=1038&format=png&auto=webp&s=7580fc7f7df7e948754d025745a5cf47d4393c0f Doing the same exercise as above for the Anasuria field, we arrive at the following financial performance for the Anasuria field: · Total oil sold: 1,073,304 bbl · Average realized oil price: USD 63.57/bbl · Average OPEX per bbl: USD 23.22/bbl As gas production is relatively immaterial, and to be conservative, we shall only consider the crude oil production from the Anasuria field in forecasting revenues.
Valuation (Method 1)
Putting the figures from both oil fields together, we get the following data: https://preview.redd.it/7y6064dq8br41.png?width=700&format=png&auto=webp&s=2a4120563a011cf61fc6090e1cd5932602599dc2 Given that we have determined LTM EBITDA of RM 632m, the next step would be to subtract ITDA (interest, tax, depreciation & amortization) from it to obtain estimated LTM Net Profit. Using FY2020’s ITDA of approximately RM 318m as a guideline, we arrive at an estimated LTM Net Profit of RM 314m (FY20: 230m). Given the current market capitalization of RM 714.7m, this implies a trailing LTM PE of 2.3x. Performing a sensitivity analysis given different oil prices, we arrive at the following net profit table for the company under different oil price scenarios, assuming oil production rate and ITDA remain constant: https://preview.redd.it/xixge5sr8br41.png?width=433&format=png&auto=webp&s=288a00f6e5088d01936f0217ae7798d2cfcf11f2 From the above exercise, it becomes apparent that Hibiscus has a breakeven oil price of about USD 41.8863/bbl, and has a lot of operating leverage given the exponential rate of increase in its Net Profit with each consequent increase in oil prices. Considering that the oil production rate (EBITDA) is likely to increase faster than ITDA’s proportion to revenues (fixed costs), at an implied PE of 4.33x, it seems likely that an investment in Hibiscus will be profitable over the next 10 years (with the assumption that oil prices will revert to the mean in the long-term).
Valuation (Method 2)
Of course, there are a lot of assumptions behind the above method of valuation. Hence, it would be prudent to perform multiple methods of valuation and compare the figures to one another. As opposed to the profit/loss assessment in Valuation (Method 1), another way of performing a valuation would be to estimate its balance sheet value, i.e. total revenues from 2P Reserves, and assign a reasonable margin to it. https://preview.redd.it/o2eiss6u8br41.png?width=710&format=png&auto=webp&s=03960cce698d9cedb076f3d5f571b3c59d908fa8 From the above, we understand that Hibiscus’s 2P reserves from the North Sabah and Anasuria fields alone are approximately 44.2 mmbbl (we ignore contribution from Australia’s VIC cluster as it hasn’t been developed yet). Doing a similar sensitivity analysis of different oil prices as above, we arrive at the following estimated total revenues and accumulated net profit: https://preview.redd.it/h8hubrmw8br41.png?width=450&format=png&auto=webp&s=6d23f0f9c3dafda89e758b815072ba335467f33e Let’s assume that the above average of RM 9.68 billion in total realizable revenues from current 2P reserves holds true. If we assign a conservative Net Profit margin of 15% (FY20: 23%; past 5 years average: 16%), we arrive at estimated accumulated Net Profit from 2P Reserves ofRM 1.452 billion. Given the current market capitalization of RM 714 million, we might be able to say that the equity is worth about twice the current share price. However, it is understandable that some readers might feel that the figures used in the above estimate (e.g. net profit margin of 15%) were randomly plucked from the sky. So how do we reconcile them with figures from the financial statements? Fortunately, there appears to be a way to do just that. Intangible Assets I refer you to a figure in the financial statements which provides a shortcut to the valuation of 2P Reserves. This is the carrying value of Intangible Assets on the Balance Sheet. As of 2QFY21, that amount was RM 1,468,860,000 (i.e. RM 1.468 billion). https://preview.redd.it/hse8ttb09br41.png?width=881&format=png&auto=webp&s=82e48b5961c905fe9273cb6346368de60202ebec Quite coincidentally, one might observe that this figure is dangerously close to the estimated accumulated Net Profit from 2P Reserves of RM 1.452 billion we calculated earlier. But why would this amount matter at all? To answer that, I refer you to the notes of the Annual Report FY20 (AR20). On page 148 of the AR20, we find the following two paragraphs: E&E assets comprise of rights and concession and conventional studies. Following the acquisition of a concession right to explore a licensed area, the costs incurred such as geological and geophysical surveys, drilling, commercial appraisal costs and other directly attributable costs of exploration and appraisal including technical and administrative costs, are capitalised as conventional studies, presented as intangible assets. E&E assets are assessed for impairment when facts and circumstances suggest that the carrying amount of an E&E asset may exceed its recoverable amount. The Group will allocate E&E assets to cash generating unit (“CGU”s or groups of CGUs for the purpose of assessing such assets for impairment. Each CGU or group of units to which an E&E asset is allocated will not be larger than an operating segment as disclosed in Note 39 to the financial statements.) Hence, we can determine that firstly, the intangible asset value represents capitalized costs of acquisition of the oil fields, including technical exploration costs and costs of acquiring the relevant licenses. Secondly, an impairment review will be carried out when “the carrying amount of an E&E asset may exceed its recoverable amount”, with E&E assets being allocated to “cash generating units” (CGU) for the purposes of assessment. On page 169 of the AR20, we find the following: Carrying amounts of the Group’s intangible assets, oil and gas assets and FPSO are reviewed for possible impairment annually including any indicators of impairment. For the purpose of assessing impairment, assets are grouped at the lowest level CGUs for which there is a separately identifiable cash flow available. These CGUs are based on operating areas, represented by the 2011 North Sabah EOR PSC (“North Sabah”, the Anasuria Cluster, the Marigold and Sunflower fields, the VIC/P57 exploration permit (“VIC/P57”) and the VIC/L31 production license (“VIC/L31”).) So apparently, the CGUs that have been assigned refer to the respective oil producing fields, two of which include the North Sabah field and the Anasuria field. In order to perform the impairment review, estimates of future cash flow will be made by management to assess the “recoverable amount” (as described above), subject to assumptions and an appropriate discount rate. Hence, what we can gather up to now is that management will estimate future recoverable cash flows from a CGU (i.e. the North Sabah and Anasuria oil fields), compare that to their carrying value, and perform an impairment if their future recoverable cash flows are less than their carrying value. In other words, if estimated accumulated profits from the North Sabah and Anasuria oil fields are less than their carrying value, an impairment is required. So where do we find the carrying values for the North Sabah and Anasuria oil fields? Further down on page 184 in the AR20, we see the following: Included in rights and concession are the carrying amounts of producing field licenses in the Anasuria Cluster amounting to RM668,211,518 (2018: RM687,664,530, producing field licenses in North Sabah amounting to RM471,031,008 (2018: RM414,333,116)) Hence, we can determine that the carrying values for the North Sabah and Anasuria oil fields are RM 471m and RM 668m respectively. But where do we find the future recoverable cash flows of the fields as estimated by management, and what are the assumptions used in that calculation? Fortunately, we find just that on page 185: 17 INTANGIBLE ASSETS (CONTINUED) (a Anasuria Cluster) The Directors have concluded that there is no impairment indicator for Anasuria Cluster during the current financial year. In the previous financial year, due to uncertainties in crude oil prices, the Group has assessed the recoverable amount of the intangible assets, oil and gas assets and FPSO relating to the Anasuria Cluster. The recoverable amount is determined using the FVLCTS model based on discounted cash flows (“DCF” derived from the expected cash in/outflow pattern over the production lives.) The key assumptions used to determine the recoverable amount for the Anasuria Cluster were as follows: (i Discount rate of 10%;) (ii Future cost inflation factor of 2% per annum;) (iii Oil price forecast based on the oil price forward curve from independent parties; and,) (iv Oil production profile based on the assessment by independent oil and gas reserve experts.) Based on the assessments performed, the Directors concluded that the recoverable amount calculated based on the valuation model is higher than the carrying amount. (b North Sabah) The acquisition of the North Sabah assets was completed in the previous financial year. Details of the acquisition are as disclosed in Note 15 to the financial statements. The Directors have concluded that there is no impairment indicator for North Sabah during the current financial year. Here, we can see that the recoverable amount of the Anasuria field was estimated based on a DCF of expected future cash flows over the production life of the asset. The key assumptions used by management all seem appropriate, including a discount rate of 10% and oil price and oil production estimates based on independent assessment. From there, management concludes that the recoverable amount of the Anasuria field is higher than its carrying amount (i.e. no impairment required). Likewise, for the North Sabah field. How do we interpret this? Basically, what management is saying is that given a 10% discount rate and independent oil price and oil production estimates, the accumulated profits (i.e. recoverable amount) from both the North Sabah and the Anasuria fields exceed their carrying amounts of RM 471m and RM 668m respectively. In other words, according to management’s own estimates, the carrying value of the Intangible Assets of RM 1.468 billionapproximates the accumulated Net Profit recoverable from 2P reserves. To conclude Valuation (Method 2), we arrive at the following:
Accumulated Net Profit from 2P Reserves
RM 1.452 billion
RM 1.468 billion
By now, we have established the basic economics of Hibiscus’s business, including its revenues (i.e. oil production and oil price scenarios), costs (OPEX, ITDA), profitability (breakeven, future earnings potential) and balance sheet value (2P reserves, valuation). Moving on, we want to gain a deeper understanding of the 3 statements to anticipate any blind spots and risks. We’ll refer to the financial statements of both the FY20 annual report and the 2Q21 quarterly report in this analysis. For the sake of brevity, I’ll only point out those line items which need extra attention, and skip over the rest. Feel free to go through the financial statements on your own to gain a better familiarity of the business. https://preview.redd.it/h689bss79br41.png?width=810&format=png&auto=webp&s=ed47fce6a5c3815dd3d4f819e31f1ce39ccf4a0b Income Statement First, we’ll start with the Income Statement on page 135 of the AR20. Revenues are straightforward, as we’ve discussed above. Cost of Sales and Administrative Expenses fall under the jurisdiction of OPEX, which we’ve also seen earlier. Other Expenses are mostly made up of Depreciation & Amortization of RM 115m. Finance Costs are where things start to get tricky. Why does a company which carries no debt have such huge amounts of finance costs? The reason can be found in Note 8, where it is revealed that the bulk of finance costs relate to the unwinding of discount of provision for decommissioning costs of RM 25m (Note 32). https://preview.redd.it/4omjptbe9br41.png?width=1019&format=png&auto=webp&s=eaabfc824134063100afa62edfd36a34a680fb60 This actually refers to the expected future costs of restoring the Anasuria and North Sabah fields to their original condition once the oil reserves have been depleted. Accounting standards require the company to provide for these decommissioning costs as they are estimable and probable. The way the decommissioning costs are accounted for is the same as an amortized loan, where the initial carrying value is recognized as a liability and the discount rate applied is reversed each year as an expense on the Income Statement. However, these expenses are largely non-cash in nature and do not necessitate a cash outflow every year (FY20: RM 69m). Unwinding of discount on non-current other payables of RM 12m relate to contractual payments to the North Sabah sellers. We will discuss it later. Taxation is another tricky subject, and is even more significant than Finance Costs at RM 161m. In gist, Hibiscus is subject to the 38% PITA (Petroleum Income Tax Act) under Malaysian jurisdiction, and the 30% Petroleum tax + 10% Supplementary tax under UK jurisdiction. Of the RM 161m, RM 41m of it relates to deferred tax which originates from the difference between tax treatment and accounting treatment on capitalized assets (accelerated depreciation vs straight-line depreciation). Nonetheless, what you should take away from this is that the tax expense is a tangible expense and material to breakeven analysis. Fortunately, tax is a variable expense, and should not materially impact the cash flow of Hibiscus in today’s low oil price environment. Note: Cash outflows for Tax Paid in FY20 was RM 97m, substantially below the RM 161m tax expense. https://preview.redd.it/1xrnwzm89br41.png?width=732&format=png&auto=webp&s=c078bc3e18d9c79d9a6fbe1187803612753f69d8 Balance Sheet The balance sheet of Hibiscus is unexciting; I’ll just bring your attention to those line items which need additional scrutiny. I’ll use the figures in the latest 2Q21 quarterly report (2Q21) and refer to the notes in AR20 for clarity. We’ve already discussed Intangible Assets in the section above, so I won’t dwell on it again. Moving on, the company has Equipment of RM 582m, largely relating to O&G assets (e.g. the Anasuria FPSO vessel and CAPEX incurred on production enhancement projects). Restricted cash and bank balances represent contractual obligations for decommissioning costs of the Anasuria Cluster, and are inaccessible for use in operations. Inventories are relatively low, despite Hibiscus being an E&P company, so forex fluctuations on carrying value of inventories are relatively immaterial. Trade receivables largely relate to entitlements from Petronas and BP (both oil supermajors), and are hence quite safe from impairment. Other receivables, deposits and prepayments are significant as they relate to security deposits placed with sellers of the oil fields acquired; these should be ignored for cash flow purposes. Note: Total cash and bank balances do not include approximately RM 105 m proceeds from the North Sabah December 2019 offtake (which was received in January 2020) Cash and bank balances of RM 90m do not include RM 105m of proceeds from offtake received in 3Q21 (Jan 2020). Hence, the actual cash and bank balances as of 2Q21 approximate RM 200m. Liabilities are a little more interesting. First, I’ll draw your attention to the significant Deferred tax liabilities of RM 457m. These largely relate to the amortization of CAPEX (i.e. Equipment and capitalized E&E expenses), which is given an accelerated depreciation treatment for tax purposes. The way this works is that the government gives Hibiscus a favorable tax treatment on capital expenditures incurred via an accelerated depreciation schedule, so that the taxable income is less than usual. However, this leads to the taxable depreciation being utilized quicker than accounting depreciation, hence the tax payable merely deferred to a later period – when the tax depreciation runs out but accounting depreciation remains. Given the capital intensive nature of the business, it is understandable why Deferred tax liabilities are so large. We’ve discussed Provision for decommissioning costs under the Finance Costs section earlier. They are also quite significant at RM 266m. Notably, the Other Payables and Accruals are a hefty RM 431m. What do they relate to? Basically, they are contractual obligations to the sellers of the oil fields which are only payable upon oil prices reaching certain thresholds. Hence, while they are current in nature, they will only become payable when oil prices recover to previous highs, and are hence not an immediate cash outflow concern given today’s low oil prices. Cash Flow Statement There is nothing in the cash flow statement which warrants concern. Notably, the company generated OCF of approximately RM 500m in FY20 and RM 116m in 2Q21. It further incurred RM 330m and RM 234m of CAPEX in FY20 and 2Q21 respectively, largely owing to production enhancement projects to increase the production rate of the Anasuria and North Sabah fields, which according to management estimates are accretive to ROI. Tax paid was RM 97m in FY20 and RM 61m in 2Q21 (tax expense: RM 161m and RM 62m respectively).
There are a few obvious and not-so-obvious risks that one should be aware of before investing in Hibiscus. We shall not consider operational risks (e.g. uptime, OPEX) as they are outside the jurisdiction of the equity analyst. Instead, we shall focus on the financial and strategic risks largely outside the control of management. The main ones are: · Oil prices remaining subdued for long periods of time · Fluctuation of exchange rates · Customer concentration risk · 2P Reserves being less than estimated · Significant current and non-current liabilities · Potential issuance of equity Oil prices remaining subdued Of topmost concern in the minds of most analysts is whether Hibiscus has the wherewithal to sustain itself through this period of low oil prices (sub-$30). A quick and dirty estimate of annual cash outflow (i.e. burn rate) assuming a $20 oil world and historical production rates is between RM 50m-70m per year, which considering the RM 200m cash balance implies about 3-4 years of sustainability before the company runs out of cash and has to rely on external assistance for financing. Table 1: Hibiscus EBITDA at different oil price and exchange rates https://preview.redd.it/gxnekd6h9br41.png?width=670&format=png&auto=webp&s=edbfb9621a43480d11e3b49de79f61a6337b3d51 The above table shows different EBITDA scenarios (RM ‘m) given different oil prices (left column) and USD:MYR exchange rates (top row). Currently, oil prices are $27 and USD:MYR is 1:4.36. Given conservative assumptions of average OPEX/bbl of $20 (current: $15), we can safely say that the company will be loss-making as long as oil remains at $20 or below (red). However, we can see that once oil prices hit $25, the company can tank the lower-end estimate of the annual burn rate of RM 50m (orange), while at RM $27 it can sufficiently muddle through the higher-end estimate of the annual burn rate of RM 70m (green). Hence, we can assume that as long as the average oil price over the next 3-4 years remains above $25, Hibiscus should come out of this fine without the need for any external financing. Customer Concentration Risk With regards to customer concentration risk, there is not much the analyst or investor can do except to accept the risk. Fortunately, 80% of revenues can be attributed to two oil supermajors (Petronas and BP), hence the risk of default on contractual obligations and trade receivables seems to be quite diminished. 2P Reserves being less than estimated 2P Reserves being less than estimated is another risk that one should keep in mind. Fortunately, the current market cap is merely RM 714m – at half of estimated recoverable amounts of RM 1.468 billion – so there’s a decent margin of safety. In addition, there are other mitigating factors which shall be discussed in the next section (‘Opportunities’). Significant non-current and current liabilities The significant non-current and current liabilities have been addressed in the previous section. It has been determined that they pose no threat to immediate cash flow due to them being long-term in nature (e.g. decommissioning costs, deferred tax, etc). Hence, for the purpose of assessing going concern, their amounts should not be a cause for concern. Potential issuance of equity Finally, we come to the possibility of external financing being required in this low oil price environment. While the company should last 3-4 years on existing cash reserves, there is always the risk of other black swan events materializing (e.g. coronavirus) or simply oil prices remaining muted for longer than 4 years. Furthermore, management has hinted that they wish to acquire new oil assets at presently depressed prices to increase daily production rate to a targeted 20,000 bbl by end-2021. They have room to acquire debt, but they may also wish to issue equity for this purpose. Hence, the possibility of dilution to existing shareholders cannot be entirely ruled out. However, given management’s historical track record of prioritizing ROI and optimal capital allocation, and in consideration of the fact that the MD owns 10% of outstanding shares, there is some assurance that any potential acquisitions will be accretive to EPS and therefore valuations.
As with the existence of risk, the presence of material opportunities also looms over the company. Some of them are discussed below: · Increased Daily Oil Production Rate · Inclusion of 2C Resources · Future oil prices exceeding $50 and effects from coronavirus dissipating Increased Daily Oil Production Rate The first and most obvious opportunity is the potential for increased production rate. We’ve seen in the last quarter (2Q21) that the North Sabah field increased its daily production rate by approximately 20% as a result of production enhancement projects (infill drilling), lowering OPEX/bbl as a result. To vastly oversimplify, infill drilling is the process of maximizing well density by drilling in the spaces between existing wells to improve oil production. The same improvements are being undertaken at the Anasuria field via infill drilling, subsea debottlenecking, water injection and sidetracking of existing wells. Without boring you with industry jargon, this basically means future production rate is likely to improve going forward. By how much can the oil production rate be improved by? Management estimates in their analyst presentation that enhancements in the Anasuria field will be able to yield 5,000 bbl/day by 2021 (current: 2,500 bbl/day). Similarly, improvements in the North Sabah field is expected to yield 7,000 bbl/day by 2021 (current: 5,300 bbl/day). This implies a total 2021 expected daily production rate from the two fields alone of 12,000 bbl/day (current: 8,000 bbl/day). That’s a 50% increase in yields which we haven’t factored into our valuation yet. Furthermore, we haven’t considered any production from existing 2C resources (e.g. Marigold/Sunflower) or any potential acquisitions which may occur in the future. By management estimates, this can potentially increase production by another 8,000 bbl/day, bringing total production to 20,000 bbl/day. While this seems like a stretch of the imagination, it pays to keep them in mind when forecasting future revenues and valuations. Just to play around with the numbers, I’ve come up with a sensitivity analysis of possible annual EBITDA at different oil prices and daily oil production rates: Table 2: Hibiscus EBITDA at different oil price and daily oil production rates https://preview.redd.it/jnpfhr5n9br41.png?width=814&format=png&auto=webp&s=bbe4b512bc17f576d87529651140cc74cde3d159 The left column represents different oil prices while the top row represents different daily oil production rates. The green column represents EBITDA at current daily production rate of 8,000 bbl/day; the orange column represents EBITDA at targeted daily production rate of 12,000 bbl/day; while the purple column represents EBITDA at maximum daily production rate of 20,000 bbl/day. Even conservatively assuming increased estimated annual ITDA of RM 500m (FY20: RM 318m), and long-term average oil prices of $50 (FY20: $60), the estimated Net Profit and P/E ratio is potentially lucrative at daily oil production rates of 12,000 bbl/day and above. 2C Resources Since we’re on the topic of improved daily oil production rate, it bears to pay in mind the relatively enormous potential from Hibiscus’s 2C Resources. North Sabah’s 2C Resources alone exceed 30 mmbbl; while those from the yet undiagnosed Marigold/Sunflower fields also reach 30 mmbbl. Altogether, 2C Resources exceed 70 mmbbl, which dwarfs the 44 mmbbl of 2P Reserves we have considered up to this point in our valuation estimates. To refresh your memory, 2C Resources represents oil volumes which have been discovered but are not yet classified as “commercial”. This means that there is reasonable certainty of the oil being recoverable, as opposed to simply being in the very early stages of exploration. So, to be conservative, we will imagine that only 50% of 2C Resources are eligible for reclassification to 2P reserves, i.e. 35 mmbbl of oil. https://preview.redd.it/mto11iz7abr41.png?width=375&format=png&auto=webp&s=e9028ab0816b3d3e25067447f2c70acd3ebfc41a This additional 35 mmbbl of oil represents an 80% increase to existing 2P reserves. Assuming the daily oil production rate increases similarly by 80%, we will arrive at 14,400 bbl/day of oil production. According to Table 2 above, this would yield an EBITDA of roughly RM 630m assuming $50 oil. Comparing that estimated EBITDA to FY20’s actual EBITDA:
FY21 (incl. 2C)
Daily oil production (bbl/day)
Average oil price (USD/bbl)
Average OPEX/bbl (USD)
EBITDA (RM ‘m)
Hence, even conservatively assuming lower oil prices and higher OPEX/bbl (which should decrease in the presence of higher oil volumes) than last year, we get approximately the same EBITDA as FY20. For the sake of completeness, let’s assume that Hibiscus issues twice the no. of existing shares over the next 10 years, effectively diluting shareholders by 50%. Even without accounting for the possibility of the acquisition of new oil fields, at the current market capitalization of RM 714m, the prospective P/E would be about 10x. Not too shabby. Future oil prices exceeding $50 and effects from coronavirus dissipating Hibiscus shares have recently been hit by a one-two punch from oil prices cratering from $60 to $30, as a result of both the Saudi-Russian dispute and depressed demand for oil due to coronavirus. This has massively increased supply and at the same time hugely depressed demand for oil (due to the globally coordinated lockdowns being implemented). Given a long enough timeframe, I fully expect OPEC+ to come to an agreement and the economic effects from the coronavirus to dissipate, allowing oil prices to rebound. As we equity investors are aware, oil prices are cyclical and are bound to recover over the next 10 years. When it does, valuations of O&G stocks (including Hibiscus’s) are likely to improve as investors overshoot expectations and begin to forecast higher oil prices into perpetuity, as they always tend to do in good times. When that time arrives, Hibiscus’s valuations are likely to become overoptimistic as all O&G stocks tend to do during oil upcycles, resulting in valuations far exceeding reasonable estimates of future earnings. If you can hold the shares up until then, it’s likely you will make much more on your investment than what we’ve been estimating.
Wrapping up what we’ve discussed so far, we can conclude that Hibiscus’s market capitalization of RM 714m far undershoots reasonable estimates of fair value even under conservative assumptions of recoverable oil volumes and long-term average oil prices. As a value investor, I hesitate to assign a target share price, but it’s safe to say that this stock is worth at least RM 1.00 (current: RM 0.45). Risk is relatively contained and the upside far exceeds the downside. While I have no opinion on the short-term trajectory of oil prices, I can safely recommend this stock as a long-term Buy based on fundamental research.
Price has memory? Price has memory! If you learn this concept and take advantage of it, then you have the potential to increase your ROI, return on investment, in the FOREX market. This book gives you a visual lesson with images showing price memory points. You will learn how to analyze a price history chart so that you can find KEY price ... Hence, presence of long memory in volatility has important theoretical and practical implications. Volatility in the foreign exchange market of a country is vitally important to the functioning of the economy. The changes in exchange rate can affect both the price level within the country and external trade. Hence, analysing the dynamics of volatility in the Forex market is of academic as well ... This forex robot for scalpers will work with all the brokers that will support MT4 trading platform. All our EA’s can even trade multiple pairs at the same time separated by magic number. The software has special memory system which creates memory files and logs the trading process, so you never lose your trading cycle in case of platform crash or any connection problems. Browser Out Memory Issue (Page 1) — Expert Advisor Studio — Forex Forum — Forex Software, Forex Strategies, Expert Advisors Generator How Using Market ‘Memory’ of Forex and CFD Charts Helps Traders. How Using Market ‘Memory’ of Forex and CFD Charts Helps Traders. March 26, 2017 06:30. Dear Traders, Do you look at the charts and wonder how much to zoom in or out? It's a valid question that deserves our time and attention today. This article will discuss the pros and cons of using zoom, but we'll also discuss best ... of forex prediction. The Long Short-Term Memory (LSTM) neural network, a kind of artificial neural network, has been widely used, which is specially designed to analyse time series data. Due to its strong learning capability, the LSTM neural network has now been used to predict complex forex trading based on historical data. However, there is a lack of an authoritative and commonly accepted ... Getting over your short term or selective memory is a real challenge, more important is to subside the emotions coming with them. Getting back to trading s soon before doing that make it more risky than the potential gains and may even shorten your trading lifespan. Last Modified On Sun Dec 1 st, 2019 By: Forex Robot Reviews [www.reviewforexrobots.com] Open a Live Account Open a Demo Account ... RAM memory is big problem. What to do when MT4 is using a lot of memory? How I can reduce memory on VPS? Problem example: If you open 25 charts in MT4 and for example 500000 M30 records x 25 pairs into memory your MT4 terminal will spend 1GB memory in some moments.On other side events tabs, market watch window will spend memory too. Solutions : Forex Crunch has not verified the accuracy or basis-in-fact of any claim or statement made by any independent author: Omissions and errors may occur. Any news, analysis, opinion, price quote or any other information contained on Forex Crunch and permitted re-published content should be taken as general market commentary. This is by no means investment advice. Forex Crunch will not accept ... Stated differently, the strength of the economy has a major impact on which party is elected (in the words of Bill Clinton’s successful ’92 campaign against George H. W. Bush, “It’s the economy, stupid”), but the economy also tends to perform better in election years regardless. As Nordea recently found, US GDP has historically risen by 0.3% more in election years than other years ...
Most of our Forex Trading Strategies are Contrarian Trading Strategies, meaning we take our forex trades in the opposite direction of the current short-term sentiment. Category Entertainment Buying a lottery ticket is a bad deal. The odds are against you, even with a giant pot. But one guy figured out how to flip the odds in his favor... fourteen... Forex Volatility: How To 'Forecast' Forex Volatility In FX Markets! Volatility in the markets is essential for forex traders, who seek to profit from speculation. Without significant and ... Ambient Study Music To Concentrate - 4 Hours of Music for Studying, Concentration and Memory - Duration: 3:57:52. Quiet Quest - Study Music Recommended for you 3:57:52 Super Intelligence, Memory Music with Binaural Beats, Focus Music, Study Music Greenred Productions - Relaxing Music 2,332 watching Live now Mike Tyson - The Hardest Puncher in Boxing Ever! In this video, Mantas from Technical FX is sharing Five Best Foods that can increase your Focus and improve your Memory. Reap the health benefits of these great foods that can help your brain! We ... Accelerated Learning - Gamma Waves for Focus, Memory, Concentration - Binaural Beats - Focus Music - Duration: 1:30:01. Magnetic Minds Recommended for you 1:30:01