Forex Candlestick Chart Patterns PDF Forex eBook PDF

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Some posts which i saved and dont know why
https://www.reddit.com/options/comments/ep7yrs/the_chart_moderators_dont_want_you_to_see/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/cxn59p/for_all_the_traders_that_just_focus_on_price/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/cxymyf/a_peek_into_how_financial_institutions_play_this/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/dmzp14/so_you_wanna_be_a_proffesional_trade?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/6j7qm2/90_day_update_beginners_post/?utm_medium=android_app&utm_source=share
Edit- https://www.tastytrade.com/tt/learn/
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CRYPTOCURRENCY BITCOIN

CRYPTOCURRENCY BITCOIN
Bitcoin Table of contents expand: 1. What is Bitcoin? 2. Understanding Bitcoin 3. How Bitcoin Works 4. What's a Bitcoin Worth? 5. How Bitcoin Began 6. Who Invented Bitcoin? 7. Before Satoshi 8. Why Is Satoshi Anonymous? 9. The Suspects 10. Can Satoshi's Identity Be Proven? 11. Receiving Bitcoins As Payment 12. Working For Bitcoins 13. Bitcoin From Interest Payments 14. Bitcoins From Gambling 15. Investing in Bitcoins 16. Risks of Bitcoin Investing 17. Bitcoin Regulatory Risk 18. Security Risk of Bitcoins 19. Insurance Risk 20. Risk of Bitcoin Fraud 21. Market Risk 22. Bitcoin's Tax Risk What is Bitcoin?
Bitcoin is a digital currency created in January 2009. It follows the ideas set out in a white paper by the mysterious Satoshi Nakamoto, whose true identity is yet to be verified. Bitcoin offers the promise of lower transaction fees than traditional online payment mechanisms and is operated by a decentralized authority, unlike government-issued currencies.
There are no physical bitcoins, only balances kept on a public ledger in the cloud, that – along with all Bitcoin transactions – is verified by a massive amount of computing power. Bitcoins are not issued or backed by any banks or governments, nor are individual bitcoins valuable as a commodity. Despite it not being legal tender, Bitcoin charts high on popularity, and has triggered the launch of other virtual currencies collectively referred to as Altcoins.
Understanding Bitcoin Bitcoin is a type of cryptocurrency: Balances are kept using public and private "keys," which are long strings of numbers and letters linked through the mathematical encryption algorithm that was used to create them. The public key (comparable to a bank account number) serves as the address which is published to the world and to which others may send bitcoins. The private key (comparable to an ATM PIN) is meant to be a guarded secret and only used to authorize Bitcoin transmissions. Style notes: According to the official Bitcoin Foundation, the word "Bitcoin" is capitalized in the context of referring to the entity or concept, whereas "bitcoin" is written in the lower case when referring to a quantity of the currency (e.g. "I traded 20 bitcoin") or the units themselves. The plural form can be either "bitcoin" or "bitcoins."
How Bitcoin Works Bitcoin is one of the first digital currencies to use peer-to-peer technology to facilitate instant payments. The independent individuals and companies who own the governing computing power and participate in the Bitcoin network, also known as "miners," are motivated by rewards (the release of new bitcoin) and transaction fees paid in bitcoin. These miners can be thought of as the decentralized authority enforcing the credibility of the Bitcoin network. New bitcoin is being released to the miners at a fixed, but periodically declining rate, such that the total supply of bitcoins approaches 21 million. One bitcoin is divisible to eight decimal places (100 millionths of one bitcoin), and this smallest unit is referred to as a Satoshi. If necessary, and if the participating miners accept the change, Bitcoin could eventually be made divisible to even more decimal places. Bitcoin mining is the process through which bitcoins are released to come into circulation. Basically, it involves solving a computationally difficult puzzle to discover a new block, which is added to the blockchain and receiving a reward in the form of a few bitcoins. The block reward was 50 new bitcoins in 2009; it decreases every four years. As more and more bitcoins are created, the difficulty of the mining process – that is, the amount of computing power involved – increases. The mining difficulty began at 1.0 with Bitcoin's debut back in 2009; at the end of the year, it was only 1.18. As of February 2019, the mining difficulty is over 6.06 billion. Once, an ordinary desktop computer sufficed for the mining process; now, to combat the difficulty level, miners must use faster hardware like Application-Specific Integrated Circuits (ASIC), more advanced processing units like Graphic Processing Units (GPUs), etc.
What's a Bitcoin Worth? In 2017 alone, the price of Bitcoin rose from a little under $1,000 at the beginning of the year to close to $19,000, ending the year more than 1,400% higher. Bitcoin's price is also quite dependent on the size of its mining network since the larger the network is, the more difficult – and thus more costly – it is to produce new bitcoins. As a result, the price of bitcoin has to increase as its cost of production also rises. The Bitcoin mining network's aggregate power has more than tripled over the past twelve months.
How Bitcoin Began
Aug. 18, 2008: The domain name bitcoin.org is registered. Today, at least, this domain is "WhoisGuard Protected," meaning the identity of the person who registered it is not public information.
Oct. 31, 2008: Someone using the name Satoshi Nakamoto makes an announcement on The Cryptography Mailing list at metzdowd.com: "I've been working on a new electronic cash system that's fully peer-to-peer, with no trusted third party. The paper is available at http://www.bitcoin.org/bitcoin.pdf." This link leads to the now-famous white paper published on bitcoin.org entitled "Bitcoin: A Peer-to-Peer Electronic Cash System." This paper would become the Magna Carta for how Bitcoin operates today.
Jan. 3, 2009: The first Bitcoin block is mined, Block 0. This is also known as the "genesis block" and contains the text: "The Times 03/Jan/2009 Chancellor on brink of second bailout for banks," perhaps as proof that the block was mined on or after that date, and perhaps also as relevant political commentary.
Jan. 8, 2009: The first version of the Bitcoin software is announced on The Cryptography Mailing list.
Jan. 9, 2009: Block 1 is mined, and Bitcoin mining commences in earnest.
Who Invented Bitcoin?
No one knows. Not conclusively, at any rate. Satoshi Nakamoto is the name associated with the person or group of people who released the original Bitcoin white paper in 2008 and worked on the original Bitcoin software that was released in 2009. The Bitcoin protocol requires users to enter a birthday upon signup, and we know that an individual named Satoshi Nakamoto registered and put down April 5 as a birth date. And that's about it.
Before Satoshi
Though it is tempting to believe the media's spin that Satoshi Nakamoto is a solitary, quixotic genius who created Bitcoin out of thin air, such innovations do not happen in a vacuum. All major scientific discoveries, no matter how original-seeming, were built on previously existing research. There are precursors to Bitcoin: Adam Back’s Hashcash, invented in 1997, and subsequently Wei Dai’s b-money, Nick Szabo’s bit gold and Hal Finney’s Reusable Proof of Work. The Bitcoin white paper itself cites Hashcash and b-money, as well as various other works spanning several research fields.
Why Is Satoshi Anonymous?
There are two primary motivations for keeping Bitcoin's inventor keeping his or her or their identity secret. One is privacy. As Bitcoin has gained in popularity – becoming something of a worldwide phenomenon – Satoshi Nakamoto would likely garner a lot of attention from the media and from governments.
The other reason is safety. Looking at 2009 alone, 32,489 blocks were mined; at the then-reward rate of 50 BTC per block, the total payout in 2009 was 1,624,500 BTC, which at today’s prices is over $900 million. One may conclude that only Satoshi and perhaps a few other people were mining through 2009 and that they possess a majority of that $900 million worth of BTC. Someone in possession of that much BTC could become a target of criminals, especially since bitcoins are less like stocks and more like cash, where the private keys needed to authorize spending could be printed out and literally kept under a mattress. While it's likely the inventor of Bitcoin would take precautions to make any extortion-induced transfers traceable, remaining anonymous is a good way for Satoshi to limit exposure.
The Suspects
Numerous people have been suggested as possible Satoshi Nakamoto by major media outlets. Oct. 10, 2011, The New Yorker published an article speculating that Nakamoto might be Irish cryptography student Michael Clear or economic sociologist Vili Lehdonvirta. A day later, Fast Company suggested that Nakamoto could be a group of three people – Neal King, Vladimir Oksman and Charles Bry – who together appear on a patent related to secure communications that were filed two months before bitcoin.org was registered. A Vice article published in May 2013 added more suspects to the list, including Gavin Andresen, the Bitcoin project’s lead developer; Jed McCaleb, co-founder of now-defunct Bitcoin exchange Mt. Gox; and famed Japanese mathematician Shinichi Mochizuki.
In December 2013, Techcrunch published an interview with researcher Skye Grey who claimed textual analysis of published writings shows a link between Satoshi and bit-gold creator Nick Szabo. And perhaps most famously, in March 2014, Newsweek ran a cover article claiming that Satoshi is actually an individual named Satoshi Nakamoto – a 64-year-old Japanese-American engineer living in California. The list of suspects is long, and all the individuals deny being Satoshi.
Can Satoshi's Identity Be Proven?
It would seem even early collaborators on the project don’t have verifiable proof of Satoshi’s identity. To reveal conclusively who Satoshi Nakamoto is, a definitive link would need to be made between his/her activity with Bitcoin and his/her identity. That could come in the form of linking the party behind the domain registration of bitcoin.org, email and forum accounts used by Satoshi Nakamoto, or ownership of some portion of the earliest mined bitcoins. Even though the bitcoins Satoshi likely possesses are traceable on the blockchain, it seems he/she has yet to cash them out in a way that reveals his/her identity. If Satoshi were to move his/her bitcoins to an exchange today, this might attract attention, but it seems unlikely that a well-funded and successful exchange would betray a customer's privacy.
Receiving Bitcoins As Payment
Bitcoins can be accepted as a means of payment for products sold or services provided. If you have a brick and mortar store, just display a sign saying “Bitcoin Accepted Here” and many of your customers may well take you up on it; the transactions can be handled with the requisite hardware terminal or wallet address through QR codes and touch screen apps. An online business can easily accept bitcoins by just adding this payment option to the others it offers, like credit cards, PayPal, etc. Online payments will require a Bitcoin merchant tool (an external processor like Coinbase or BitPay).
Working For Bitcoins
Those who are self-employed can get paid for a job in bitcoins. There are several websites/job boards which are dedicated to the digital currency:
Work For Bitcoin brings together work seekers and prospective employers through its websiteCoinality features jobs – freelance, part-time and full-time – that offer payment in bitcoins, as well as Dogecoin and LitecoinJobs4Bitcoins, part of reddit.comBitGigs
Bitcoin From Interest Payments
Another interesting way (literally) to earn bitcoins is by lending them out and being repaid in the currency. Lending can take three forms – direct lending to someone you know; through a website which facilitates peer-to-peer transactions, pairing borrowers and lenders; or depositing bitcoins in a virtual bank that offers a certain interest rate for Bitcoin accounts. Some such sites are Bitbond, BitLendingClub, and BTCjam. Obviously, you should do due diligence on any third-party site.
Bitcoins From Gambling
It’s possible to play at casinos that cater to Bitcoin aficionados, with options like online lotteries, jackpots, spread betting, and other games. Of course, the pros and cons and risks that apply to any sort of gambling and betting endeavors are in force here too.
Investing in Bitcoins
There are many Bitcoin supporters who believe that digital currency is the future. Those who endorse it are of the view that it facilitates a much faster, no-fee payment system for transactions across the globe. Although it is not itself any backed by any government or central bank, bitcoin can be exchanged for traditional currencies; in fact, its exchange rate against the dollar attracts potential investors and traders interested in currency plays. Indeed, one of the primary reasons for the growth of digital currencies like Bitcoin is that they can act as an alternative to national fiat money and traditional commodities like gold.
In March 2014, the IRS stated that all virtual currencies, including bitcoins, would be taxed as property rather than currency. Gains or losses from bitcoins held as capital will be realized as capital gains or losses, while bitcoins held as inventory will incur ordinary gains or losses.
Like any other asset, the principle of buying low and selling high applies to bitcoins. The most popular way of amassing the currency is through buying on a Bitcoin exchange, but there are many other ways to earn and own bitcoins. Here are a few options which Bitcoin enthusiasts can explore.
Risks of Bitcoin Investing
Though Bitcoin was not designed as a normal equity investment (no shares have been issued), some speculative investors were drawn to the digital money after it appreciated rapidly in May 2011 and again in November 2013. Thus, many people purchase bitcoin for its investment value rather than as a medium of exchange.
However, their lack of guaranteed value and digital nature means the purchase and use of bitcoins carries several inherent risks. Many investor alerts have been issued by the Securities and Exchange Commission (SEC), the Financial Industry Regulatory Authority (FINRA), the Consumer Financial Protection Bureau (CFPB), and other agencies.
The concept of a virtual currency is still novel and, compared to traditional investments, Bitcoin doesn't have much of a long-term track record or history of credibility to back it. With their increasing use, bitcoins are becoming less experimental every day, of course; still, after eight years, they (like all digital currencies) remain in a development phase, still evolving. "It is pretty much the highest-risk, highest-return investment that you can possibly make,” says Barry Silbert, CEO of Digital Currency Group, which builds and invests in Bitcoin and blockchain companies.
Bitcoin Regulatory Risk
Investing money into Bitcoin in any of its many guises is not for the risk-averse. Bitcoins are a rival to government currency and may be used for black market transactions, money laundering, illegal activities or tax evasion. As a result, governments may seek to regulate, restrict or ban the use and sale of bitcoins, and some already have. Others are coming up with various rules. For example, in 2015, the New York State Department of Financial Services finalized regulations that would require companies dealing with the buy, sell, transfer or storage of bitcoins to record the identity of customers, have a compliance officer and maintain capital reserves. The transactions worth $10,000 or more will have to be recorded and reported.
Although more agencies will follow suit, issuing rules and guidelines, the lack of uniform regulations about bitcoins (and other virtual currency) raises questions over their longevity, liquidity, and universality.
Security Risk of Bitcoins
Bitcoin exchanges are entirely digital and, as with any virtual system, are at risk from hackers, malware and operational glitches. If a thief gains access to a Bitcoin owner's computer hard drive and steals his private encryption key, he could transfer the stolen Bitcoins to another account. (Users can prevent this only if bitcoins are stored on a computer which is not connected to the internet, or else by choosing to use a paper wallet – printing out the Bitcoin private keys and addresses, and not keeping them on a computer at all.) Hackers can also target Bitcoin exchanges, gaining access to thousands of accounts and digital wallets where bitcoins are stored. One especially notorious hacking incident took place in 2014, when Mt. Gox, a Bitcoin exchange in Japan, was forced to close down after millions of dollars worth of bitcoins were stolen.
This is particularly problematic once you remember that all Bitcoin transactions are permanent and irreversible. It's like dealing with cash: Any transaction carried out with bitcoins can only be reversed if the person who has received them refunds them. There is no third party or a payment processor, as in the case of a debit or credit card – hence, no source of protection or appeal if there is a problem.
Insurance Risk
Some investments are insured through the Securities Investor Protection Corporation. Normal bank accounts are insured through the Federal Deposit Insurance Corporation (FDIC) up to a certain amount depending on the jurisdiction. Bitcoin exchanges and Bitcoin accounts are not insured by any type of federal or government program.
Risk of Bitcoin Fraud
While Bitcoin uses private key encryption to verify owners and register transactions, fraudsters and scammers may attempt to sell false bitcoins. For instance, in July 2013, the SEC brought legal action against an operator of a Bitcoin-related Ponzi scheme.
Market Risk
Like with any investment, Bitcoin values can fluctuate. Indeed, the value of the currency has seen wild swings in price over its short existence. Subject to high volume buying and selling on exchanges, it has a high sensitivity to “news." According to the CFPB, the price of bitcoins fell by 61% in a single day in 2013, while the one-day price drop in 2014 has been as big as 80%.
If fewer people begin to accept Bitcoin as a currency, these digital units may lose value and could become worthless. There is already plenty of competition, and though Bitcoin has a huge lead over the other 100-odd digital currencies that have sprung up, thanks to its brand recognition and venture capital money, a technological break-through in the form of a better virtual coin is always a threat.
Bitcoin's Tax Risk
As bitcoin is ineligible to be included in any tax-advantaged retirement accounts, there are no good, legal options to shield investments from taxation.
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Related Terms
Satoshi
The satoshi is the smallest unit of the bitcoin cryptocurrency. It is named after Satoshi Nakamoto, the creator of the protocol used in block chains and the bitcoin cryptocurrency.
Chartalism Chartalism is a non-mainstream theory of money that emphasizes the impact of government policies and activities on the value of money.
Satoshi Nakamoto The name used by the unknown creator of the protocol used in the bitcoin cryptocurrency. Satoshi Nakamoto is closely-associated with blockchain technology.
Bitcoin Mining, Explained Breaking down everything you need to know about Bitcoin Mining, from Blockchain and Block Rewards to Proof-of-Work and Mining Pools.
Understanding Bitcoin Unlimited Bitcoin Unlimited is a proposed upgrade to Bitcoin Core that allows larger block sizes. The upgrade is designed to improve transaction speed through scale.
Blockchain Explained
A guide to help you understand what blockchain is and how it can be used by industries. You've probably encountered a definition like this: “blockchain is a distributed, decentralized, public ledger." But blockchain is easier to understand than it sounds.
Top 6 Books to Learn About Bitcoin About UsAdvertiseContactPrivacy PolicyTerms of UseCareers Investopedia is part of the Dotdash publishing family.The Balance Lifewire TripSavvy The Spruceand more
By Satoshi Nakamoto
Read it once, go read other crypto stuff, read it again… keep doing this until the whole document makes sense. It’ll take a while, but you’ll get there. This is the original whitepaper introducing and explaining Bitcoin, and there’s really nothing better out there to understand on the subject.
“What is needed is an electronic payment system based on cryptographic proof instead of trust, allowing any two willing parties to transact directly with each other without the need for a trusted third party

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Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023
Algorithm Trading Market
Research report comes up with the size of the global Algorithm Trading Market for the base year 2019 and the forecast between 2019 and 2023. Market value has been estimated considering the application and regional segments, market share, and size, while the forecast for each product type and application segment has been provided for the global and local markets.
The Algorithm Trading report offers detailed profiles of the key players to bring out a clear view of the competitive landscape of the Algorithm Trading Outlook. It also comprehends market new product analysis, financial overview, strategies and marketing trends.
Major Manufacturer Detail: Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management
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The report reckons a complete view of the world Algorithm Trading market by classifying it in terms of application and region. These segments are examined by current and future trends. Regional segmentation incorporates current and future demand for them in North America, Asia Pacific, Europe, and the Middle East. The report collectively covers specific application segments of the market in each region.
Types of Algorithm Trading covered are: Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading
Applications of Algorithm Trading covered are: large Enterprise, SME
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Regional Analysis For Algorithm Trading Market
North America (The United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, and Italy) Asia-Pacific (China, Japan, Korea, India, and Southeast Asia) South America (Brazil, Argentina, Colombia, etc.) The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Table of Contents:
Study Coverage: It includes key manufacturers covered, key market segments, the scope of products offered in the global Algorithm Trading market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application. Executive summary: It gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators. Production by Region: Here, the report provides information related to import and export, production, revenue, and key players of all regional markets studied. Profile of Manufacturers: Each player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.
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• In-depth analysis of the market on the global and regional level. • Major changes in market dynamics and competitive landscape. • Segmentation on the basis of type, application, geography, and others. • Historical and future market research in terms of size, share, growth, volume & sales. • Major changes and assessment in market dynamics & developments. • Industry size & share analysis with industry growth and trends. • Emerging key segments and regions. • Key business strategies by major market players and their key methods. • The research report covers size, share, trends and growth analysis of the Algorithm Trading Market on the global and regional level.
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[educational] Technical analysis, patterns, and charts analysis for the day trader

[educational] Technical analysis, patterns, and charts analysis for the day trader
Chart patterns form a key part of day trading. Candlestick and other charts produce frequent signals that cut through price action “noise”.
The best patterns will be those that can form the backbone of a profitable day trading strategy, whether trading stocks, cryptocurrency of forex pairs.
Every day you have to choose between hundreds of trading opportunities. This is a result of a wide range of factors influencing the market. Day trading patterns enable you to decipher the multitude of options and motivations – from hope of gain and fear of loss, to short-covering, stop-loss triggers, hedging, tax consequences and plenty more.
Candlestick patterns help by painting a clear picture, and flagging up trading signals and signs of future price movements. Whilst it’s said you’ll need to use technical analysis to succeed day trading with candlestick and other patterns, it’s important to note utilizing them to your advantage is more of an art form than a rigid science.
You have to learn the power of chart patterns and the theory that governs them in order to identify the best patterns to supplement your trading style and strategies.

Use In Day Trading

Used correctly trading patterns can add a powerful tool to your arsenal. This is because history has a habit of repeating itself and the financial markets are no exception. This repetition can help you identify opportunities and anticipate potential pitfalls.
RSI, volume, plus support and resistance levels all aide your technical analysis when you’re trading. But crypto chart patterns play a crucial role in identifying breakouts and trend reversals. Mastering the art of reading these patterns will help you make smarter trades and bolster your profits, as highlighted in the highly regarded, ‘stock patterns for day trading’, by Barry Rudd.

Breakouts & Reversals

In the patterns and charts below you’ll see two recurring themes, breakouts and reversals.
  • Breakout – A breakout is simply when the price clears a specified critical level on your chart. This level could by any number of things, from a Fibonacci level, to support, resistance or trend lines.
  • Reversal – A reversal is simply a change in direction of a price trend. That change could be either positive or negative against the prevailing trend. You may also hear it called a ‘rally’, ‘correction’, or ‘trend reversal’.

Candlestick Charts

Candlestick charts are a technical tool at your disposal. They consolidate data within given time frames into single bars. Not only are the patterns relatively straightforward to interpret, but trading with candle patterns can help you attain that competitive edge over the rest of the market.
They first originated in the 18th century where they were used by Japanese rice traders. Since Steve Nison introduced them to the West with his 1991 book ‘Japanese Candlestick Charting Techniques’, their popularity has surged.
Below is a break down of three of the most popular candlestick patterns used for day trading.

Shooting Star Candlestick

This is often one of the first you see when you open a chart with candlestick patterns. This bearish reversal candlestick suggests a peak. It is precisely the opposite of a hammer candle. It won’t form until at least three subsequent green candles have materialized. This will indicate an increase in price and demand. Usually, buyers lose their cool and clamber for the price to increasing highs before they realize they’ve overpaid.
The upper shadow is usually twice the size of the body. This tells you the last frantic buyers have entered trading just as those that have turned a profit have off-loaded their positions. Short-sellers then usually force the price down to the close of the candle either near or below the open. This traps the late arrivals who pushed the price high. Panic often kicks in at this point as those late arrivals swiftly exit their positions.

https://preview.redd.it/gf5dwjhbrdh31.png?width=300&format=png&auto=webp&s=437ff856bfd6ebc95da34528462ba224d964f01f

Doji Candlestick

One of the most popular candlestick patterns for trading forex is the doji candlestick (doji signifies indecision). This reversal pattern is either bearish or bullish depending on the previous candles. It will have nearly, or the same open and closing price with long shadows. It may look like a cross, but it can have an extremely small body. You will often get an indicator as to which way the reversal will head from the previous candles.
If you see previous candles are bullish, you can anticipate the next one near the underneath of the body low will trigger a short/sell signal when the doji lows break. You’ll then see trail stops above the doji highs.
Alternatively, if the previous candles are bearish then the doji will probably form a bullish reversal. Above the candlestick high, long triggers usually form with a trail stop directly under the doji low.
These candlestick patterns could be used for intraday trading with forex, stocks, cryptocurrencies and any number of other assets. But using candlestick patterns for trading interpretations requires experience, so practice on a demo account before you put real money on the line.

https://preview.redd.it/4yo650lcrdh31.png?width=300&format=png&auto=webp&s=b2aa3cdeef23e44e1e3e3047bbe2604fce0a4768

Hammer Candlestick

This is a bullish reversal candlestick. You can use this candlestick to establish capitulation bottoms. These are then normally followed by a price bump, allowing you to enter a long position.
The hammer candlestick forms at the end of a downtrend and suggests a near-term price bottom. The lower shadow is made by a new low in the downtrend pattern that then closes back near the open. The tail (lower shadow), must be a minimum of twice the size of the actual body.
The tails are those that stopped out as shorts started to cover their positions and those looking for a bargain decided to feast. Volume can also help hammer home the candle. To be certain it is a hammer candle, check where the next candle closes. It must close above the hammer candle low.
Trading with Japanese candlestick patterns has become increasingly popular in recent decades, as a result of the easy to glean and detailed information they provide. This makes them ideal for charts for beginners to get familiar with.

https://preview.redd.it/7snzz8qdrdh31.png?width=300&format=png&auto=webp&s=f83ff82f0980dd30c33bc6886ae7e7ed3a98b72f

More Popular Day Trading Patterns

Using Price Action

Many strategies using simple price action patterns are mistakenly thought to be too basic to yield significant profits. Yet price action strategies are often straightforward to employ and effective, making them ideal for both beginners and experienced traders.
Put simply, price action is how the price is likely to respond at certain levels of resistance or support. Using price action patterns from pdfs and charts will help you identify both swings and trendlines.
Whether you’re day trading stocks or forex or crypto with price patterns, these easy to follow strategies can be applied across the board.

Zone Strategy

So, how do you start day trading with short-term price patterns? you will likely employ a ‘zone strategy’. One obvious bonus to this system is it creates straightforward charts, free from complex indicators and distractions.

https://preview.redd.it/7e5x37zerdh31.png?width=300&format=png&auto=webp&s=2098a4c9df4a4556c3024cec1c176ce50c9806c0

Dead Zone

This empty zone tells you that the price action isn’t headed anywhere. There is no clear up or down trend, the market is at a standoff. If you want big profits, avoid the dead zone completely. No indicator will help you makes thousands of pips here.

The Red Zone

This is where things start to get a little interesting. Once you’re in the red zone the end goal is in sight, and that one hundred pip winner within reach. For example, if the price hits the red zone and continues to the upside, you might want to make a buy trade. It could be giving you higher highs and an indication that it will become an uptrend.
This will be likely when the sellers take hold. If the price hits the red zone and continues to the downside, a sell trade may be on the cards. You’d have new lower lows and a suggestion that it will become a downtrend.

The End Zone

This is where the magic happens. With this strategy, you want to consistently get from the red zone to the end zone. Draw rectangles on your charts like the ones found in the example. Then only trade the zones. If you draw the red zones anywhere from 10-20 pips wide, you’ll have room for the price action to do its usual retracement before heading to the downside or upside.

Outside Bar At Resistance Or Support

You’ll see a bullish outside bar if today’s low exceeded yesterdays, but the stock still rallies and closes above yesterday’s high. If the complete opposite price action took place, you’d have yourself the perfect bearish example.
Unfortunately, it isn’t as straightforward as identifying an outside candlestick and then just placing a trade. It’s prudent to find an outside day after a major break of a trend.

https://preview.redd.it/egb0lp6grdh31.png?width=300&format=png&auto=webp&s=b0170eceea5006464e5832bc3a9083c72ee677ad

Spring At Support

The spring is when the stock tests the low of a range, but then swiftly comes back into trading zone and sets off a new trend. One common mistake traders make is waiting for the last swing low to be reached. However, as you’ve probably realized already, trading setups don’t usually meet your precise requirements so don’t stress about a few pennies.

https://preview.redd.it/q82lap2hrdh31.png?width=300&format=png&auto=webp&s=9e40f0bc25c2df06a1d93edb68b293c858a32592

Little To No Price Retracement

Put simply, less retracement is proof the primary trend is robust and probably going to continue. Forget about coughing up on the numerous Fibonacci retracement levels. The main thing to remember is that you want the retracement to be less than 38.2%. This means even when today’s asset tests the previous swing, you’ll have a greater chance that the breakout will either hold or continue towards the direction of the primary trend.

https://preview.redd.it/ey997b2irdh31.png?width=300&format=png&auto=webp&s=c938aac51e3b3bbf1f45a11c46f4ae3dfd1b6dd4
Trading with price patterns to hand enables you to try any of these strategies. Find the one that fits in with your individual trading style. Remember, you’ll often find the best trading chart patterns aren’t overly complex, instead they paint a clear picture using minimal indicators, reducing the likelihood of mistakes and distraction.

Consider Time Frames

When you start trading with your short term price patterns pdf to hand, it’s essential you also consider time frames in your calculations. In your market, you’ll find a number of time frames simultaneously co-existing. This means you can find conflicting trends within the particular asset your trading. Your stock could be in a primary downtrend whilst also being in an intermediate short-term uptrend.
Many traders make the mistake of focusing on a specific time frame and ignoring the underlying influential primary trend. Usually, the longer the time frame the more reliable the signals. When you reduce your time frames you’ll be distracted by false moves and noise.
Many traders download examples of short-term price patterns but overlook the underlying primary trend, do not make this mistake. You should trade-off 15-minute charts, but utilize 60-minute charts to define the primary trend and 5-minute charts to establish the short-term trend.

Wrapping Up

Our understanding of chart patterns has come along way since the initial 1932 work of Richard Schabacker in ‘Technical Analysis and Stock Market Profits’. Schabacker asserted then, ‘any general stock chart is a combination of countless different patterns and its accurate analysis depends upon constant study, long experience and knowledge of all the fine points, both technical and fundamental…’ So whilst there is an abundance of patterns out there, remember accurate analysis and sustained practice is required to fully reap their benefits.

The source : https://www.daytrading.com/patterns
submitted by JalelTounsi to ethfinance [link] [comments]

Why Genesis Vision (GVT) Should Be on Your Watch-List

In light of the recent shills regarding GVT, I thought it would be the perfect time to give some of you a quick look on what GVT is and why it has been getting so much attention as of late. As a disclaimer, I am invested in GVT and I would like to also point out that although I am fairly active on the GVT sub reddit, I have not shilled it whatsoever on /r crypto. I mention this because I know there will be those that say "oh great, another shill post/comment" and had I been trying to shill, I would be all over this sub spamming people about it. I will try to make this post as unbiased as possible. In return, I simply ask that any FUD, and shills as well, include some substance so that we may have a nice discussion.

What is Genesis Vision?

Genesis Vision, from the site, is "the first platform for the private trust management market, built on Blockchain technology and Smart Contracts". Simply put, they are creating an easy-to-use app where people who do not know how to invest their money can give it to someone who does on a trustless platform. Think of it like a trust-less brokerage firm that is backed by blockchain technology and smart contracts. From the white-paper, there are 3 types of people on the platform:
The final GVT platform will have the forex, stock and crypto market all integrated onto one app. GVT's alpha release on April 1st will only include the forex market. Q4 of this year will then integrate crypto for their beta release. Finally, on their final product release, stocks will be added.

How is the platform trust-less?

First ask yourself this, why can people trust traditional brokers with their money? They can't. Who's not to say any given broker won't run away or make awful investments and lose your money? The only thing people like you and me can go off of when investing with any given broker is their track record - and that’s something that could be tampered with too. How long has this person/brokerage firm been in the market? How reliable are they? Stuff like this isn't going to be an issue on Genesis Vision. The time a person has been investing on the platform is all public on the blockchain. Every good investment and every bad investment will be publicly listed. Smart contracts will ensure that no manager can close shop and run with your money. At the end of the trading period, funds are released to the original investor and the manager is given a cut - all safely and securely using smart contracts. This completely eliminates the trust factor as everyone will simply base investments on a manager’s track record.

How does it work?

On the platform, each manager will have their own token. You invest into said manager by buying their token. The manager can then utilize the various markets available to invest and hopefully grow your money. Managers will have levels that are based on their ability to make consistent and reliable gains. The lowest level a manager can be is level 1 while the highest is 7. Your level basically determines how much money you can handle - the max level being able to handle roughly $1m. New people can apply to become a manager after they have developed a track record by trading a minimum of $1,000 over a given period of time.

How GVT is creating its own ecosystem.

To make it easier to understand how the platform will work, ask yourself how the current crypto market works. No matter how many trades you do or what coins you hold, the end goal is to have your portfolio be worth more satoshis/gwei than what you started with. You can either hold BTC, OR you can invest in various altcoins in hopes that it will grow faster than BTC. The reason people research low cap “undiscovered” cryptos is to hopefully catch a rocketship before it takes off. Times have since changed, but everything used to have to go through BTC. Buying alts? Exchange from BTC. Selling alts? Exchange to BTC. BTC falls, everyone falls. BTC grows, everyone grows (sometimes). Some alts will fall harder than BTC, and some won't. Some alts will grow faster than BTC and some won't. Because of BTC's dominance over the market, it is why many crypto veterans hold a big portion of their portfolio in BTC and why they often recommend it to others.
This is akin to how the GVT platform will work. GVT is BTC and the managers on the platform are the altcoins. You could either hold GVT or put it into a manager that will hopefully get you better returns. Much like how people right now look for “undervalued” and “undiscovered” altcoins, there will be talks and similar conversation about undiscovered managers with potential. Now remember, this is how it’s going to be for the intermediate to advanced people, but for newer or more busy people, GVT can become a fantastic tool for side-income.
The platform’s main goal is mass adoption. People like me and you would be more inclined to simply hold GVT since we’d be able to spot out good short, mid and long holds ourselves. Also, since as the platform grows, the coin itself will naturally grow with it. However, what GVT is aiming to do is build a platform similar to Robinhood. Just like how they made investing in stocks - and now cryptos - more appealing and easier to all audiences (especially younger ones), GVT is trying to do this but with a broker-like app instead. Also, keep in mind I’m just talking about crypto. The platform is going to utilize the forex market and the stock market as well.
The takeaway of all this is that because GVT will have its own platform where you can buy/sell GVT straight off of, down the line GVT could possibly part ways with Bitcoin and in a sense create its own ecosystem where GVT is the driving force of its own market.

Why invest with a manager?

So now, I’m again talking exclusively crypto (since I’m not the most knowledgeable on the forex/stock market), but why would any of us want to invest with a manager? Technical analysis and day-trading is an incredibly taboo subject on this subreddit, but that’s because people don’t understand that TA is a tool. It’s not a fact that it’s going to pan out exactly as it’s written and there are many different things to look at when doing technical analysis on a chart. Any investment in this market is speculation and TA is very useful with helping you make educated guesses for the short, mid and long term. With that said, there are some really good day-traders out there. I’m not sure how this subreddits sentiment is towards Philakone (an exclusive day trader on twitteyoutube/steemit), but the dude makes a good amount of consistent money on a daily basis, whether it be a bull or bear market, and keeps his followers up to date by the minute - for free. Imagine if he were to get on the GVT platform and instead of people trying to copy/paste or follow what he does on Twitter, they can just give him money on the GV platform and have him do the work? Down the line if he becomes a level 7 manager and as a result is given a cut of the $1m he is allowed to work with, the literal TON of money he’d be making would certainly appeal to others looking to do the same. They would no doubt have their eyes on GVT and from there, the platform’s growth would be exponential once more and more managebrokers hop on.
I’m not saying that this is exactly how everything will turn out, but still imagine being able to make money in a bear market? And aside from that, there is the forex and stock market to utilize and if any of us ever become serious investors, it would important not to just diversify in crypto, but in different markets altogether and being familiar with GVT would greatly help. Again, this is purely talk on the potential of the platform so take it with a grain of salt and DYOR!

Some thoughts + moonboy talk

Okay this is going to be pure moon-talk since I know that’s what drives most of you. To start, the team is most familiar with the forex market - which has a LOT of money in it - and that is what they will be implementing first on their Alpha launch on April 1st. Crypto implementation in Q4 2018 on beta release and then stock implementation in Q1 2019 on the full release.
Remember that REAL adoption comes when people are using applications built on the blockchain without knowing - something GVT will be doing. Look at Steemit. It is the most active blockchain by far - beating out Ethereum AND Bitcoin ( http://blocktivity.info ). Why? Because it’s smooth and functions like a normal website, despite its use of blockchain technology. I’m not saying GVT will automatically shoot up to the top, but actual use is what will determine any crypto’s success and Genesis Vision is looking like a really solid candidate right now.
On top of this, GVT’s CBDO (Chief Business Development Officer) was the founder of tools4brokers ( http://www.t4b.com ) so they have someone on the team with experience with a successful and working product. I’m not going to take a deep-dive on the rest of the team, but I highly suggest checking out the roadmap and the team (all but a few have linkdin profiles).
Now for the money. First, do NOT be fooled about GVT’s USD price. The price is so high because its token supply is very limited. It is roughly 1/6th the supply of Bitcoin’s meaning we would just have to get to 1/6th of Bitcoin’s market cap (around $25b) in order for 1 GVT to equal 1 BTC. It’s a stretch, sure, but it’s more possible than you think. To put it plain and simple, the forex, stock and crypto market altogether amount to upwards of almost $100 trillion.
GVT is a $100m market cap crypto trying to disrupt a $100 trillion~ industry with an easy-to-use, innovative and game-changing app
  • .001% of this market = $1 billion market cap (1,000% gains from now)
  • .01% of this market = $10 billion market cap (10,000% gains from now)
  • .1% of this market = $100 billion market cap (100,000% gains from now)
Huge disclaimer that just because we could reach these numbers, does not necessarily mean we will, but I see no reason why can’t hit a billion or even 10 down the line.

Conclusion

That’s pretty much it from me. Genesis Vision is a project I, and many others, are extremely excited about. It has a lot going for itself and with such a low market cap, it’s definitely something to at least throw on your watch- list. Hopefully this post didn’t come off as too much of a shill (aside from the last portion) and instead opened some people up to why GVT isn’t just “another shitcoin”. If I missed anything, don't be afraid to chip in! And I’d also be more than happy to try and answer any questions some of you may have but I simply ask that you take a look at the white-paper ( https://genesis.vision/white-paper-eng.pdf ) first as it is very user-friendly and would answer some of your questions better than I could.
Links
Website: https://genesis.vision/
Whitepaper: https://genesis.vision/white-paper-eng.pdf
submitted by DKill77x to genesisvision [link] [comments]

WOLFPACKBOT -the world fastest crypto trading bot

Crypto asset are very volatile where traders need more technical and fundamental analysis before venturing into such career taking trading as source of income . the market capitalization is trading approximately 130billion USD as the time this article was published. This shows that there are lot of money to make out from the crypto market but unfortunate many traders have lose all most all their asset on their portfolio since inception of bitcoin and altcoin trading was introduce to the global community , trading hasn’t been easy especially trying to understand the different candle patterns and the time frame, this has be tedious and difficult for traders to comprehend , the worst scenario is that most trader sit down with their laptops and phone monitoring trading chart that which looks complex for them to make profit . This is just simply spending wise time and earning no or little profit.
This is the reason the artificial intelligence such as BOT are introduce to save time and maximize profit for traders and am glad to introduce one of the best , most secure and fast trading BOT to you called the WOLFPACKBOT.

The wolfpackbot is an automated secure trading software design by great teams that have lot of experience on the forex market, and crypto market which helps trader to predict and forecast the price action movement of crypto asset on exchange marketplace such bitmex, binance and the rest of the crypto exchanges that is compatible with wolfpackbot API . The wolfpackbot

WHY THE WOLFPACKBOT THE MOST FASTEST AND SECURE TRADING BOT
WOLFPACKBOT is the only and first trading bot allow traders to do a live scanning of their trading position whether long or short positions and simultaneously partially fills orders with ease according to the trader settings decision on the bot. this means there no way the bot allow traders to miss out of the trade .
The bot works with technical indicators such as the RSI and MACD with respect to the smallest time frame of candles that is 1minute candle.
The Bot have the capability to process more than 10,000 trading per day which makes it more reliable for trading.
The security of the Bot was design with high infrastructure and model cyber security tools that prevent hackers from gaining access to users account.

Features of the wolfpackbox

IS THERE A LANGUAGE BARRIER ON THE BOT
There is no language barrier on the bot it has a friendly and amazing user’s graphics interface which features lot of language such English, Dutch, English, French, German, and Spanish.

WHAT ARE THE SUBSCRIPTION ON THE BOT
The wolfpackbot has three distinct subscription packages for all traders. They listed below
Ø WolfBOT
Ø PupBOT
Ø WerewolfBOT
The subscription have different services allow that to utilizes the Bot effectively and maximize returns of their investment in the bot and also enhance their trading skills while making profit as fun.

The wolfpackbot has it own native token called the wolfcoin which is built on the ethereum smart contract.
For more details on how to buy the wolfcoin and update with regards to the wolfpackbot kindly visit any of the link below
WOLFPACKBOT WEBSITE
WHITEPAPER
Bountyox username : myshawn.
submitted by tosindesign1 to ico [link] [comments]

The Bloomberg Finance Lab

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
N L Dalmia has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability. Learning mba in mumbai from N L Dalmia is a step towards boosting one's career.
submitted by dipika20 to MBAinIndiaExplained [link] [comments]

The Bloomberg Finance Lab Launched at N L Dalmia Campus Mumbai

The Bloomberg Terminal (aka Bloomberg Professional Services) connects finance professionals to a dynamic network of information, people, and ideas. At the core of this network is the ability to deliver real-time data to finance professionals around the world.
The main value added services provided by Bloomberg Terminal are:
  1. Data
  2. News
  3. Analytics
These services are provided through innovative, proprietary technology, that quickly and accurately provides financial information to individuals and across enterprises around the world.
A world leader in providing market data information across the globe through its websites, apps and dedicated feeds and software products, Bloomberg offers a variety of tools available on free and paid basis, allowing finance professionals to use them in their research, analysis and related trading activities. Bloomberg’s coverage includes all possible financial securities ranging from equities, fixed income, derivatives, commodities, forex and OTC products, across the globe.

Bloomberg website:

The official Bloomberg website offers a wealth of free and subscription based tools and utilities, most offering customized views as per regions/markets.

Symbol Lookup Service:

Introduced couple of years back, Bloomberg Open Symbology tool offers Symbol lookup service and mapping of different symbols (SEDOL, CUSIP, ISIN, Stock exchange ticker, etc.) at global level. Individual traders as well as large investment firms having a need to consolidate data sourced from multiple sources with different symbols use this service. For e.g. a mutual fund company may take 2 different data feeds – one from Bloomberg containing Bloomberg symbol and other from Stock exchange containing local ticker. Symbology service enables cross referencing to validate data across two sources with different tickers.
Apart from the generic Open Symbology service, the widely followed Bloomberg symbols can be accessed through its dedicated symbol search tool.

Bloomberg Professional Products & Services:

The paid professional products and tools available from Bloomberg offer coverage across 360+ exchanges, 24000+ companies, global currency markets, and includes recently launched bitcoin coverage. These products and tools today are used by more than 315,000 subscribers across 175 countries, demonstrating the depth and variety of offerings from Bloomberg.
Bloomberg Market data terminal remains the most saleable product for both individual and enterprise use. A good 2 pager Getting Started Guide is available for introduction to financial analysis tools available within the Bloomberg Terminal. Apart from usual charts, graphs, technical indicators and market data coverage, one of the key selling points of Bloomberg Terminals is its instant messaging feature which enables easy communication across individuals, dedicated workgroups and even Bloomberg representatives for assistance.
Bloomberg Briefs: A dedicated service in the form of digital newsletters for the global financial markets, Bloomberg Brief offers insights into sector or region specific areas in PDF format.
Briefs for following categories are published daily – Bankruptcy & Restructuring, Economics, Economics Asia, Economics Europe, London, Municipal Market and Oil. Publication for other categories is weekly – China, Clean Energy & Carbon, Financial Regulation, Hedge Funds Europe, Hedge Funds, Leveraged Finance, Mergers, Private Equity, Structured Notes and Technical Strategies.
Such wide varieties of tools offered by Bloomberg come with lots of portability. All website based functionality can be accessed through standard browsers on mobiles and tablets, and even professional products offer portability for mobile and remote access through desktops, laptops, tablets and smartphones.

Bloomberg Enterprise Solutions

At the enterprise level, Bloomberg offers dedicated data feeds, pricing, reference and market data, news and information services to meet the needs of large financial enterprises employing financial analysts, traders and researchers. The Bloomberg trading solutions, offer connectivity and integration for buy side and sell side institutional clients. These find usage in complementing the OMS (Order management system), and recent EMS (Execution management system), for trade execution.
NLDIMSR has set up Mumbai’s first Bloomberg Finance Lab with 12 Bloomberg terminals, offering students extremely focused and high end knowledge programs with a high degree of practical learning and on-the-job applicability.
submitted by dipika20 to MBAIndia [link] [comments]

Global Visionariez and IML My 30 day Experience

To summarize my experience with the "product." It is 99.9% stalling and wasting your time with shit like this https://www.youtube.com/watch?v=za3tUUoj2iQ and hyping their own products. Dudes acting like "whaaaaaaaa" and showing phone screens with profits. Facebook is flooded with these people showing off how their boy "[insert name here]" is selling money and yada yada. Most of the content they post and host is just recruitment hype videos to bring more people in. Seriously... Like all day every day it felt like. Most the videos feature some hipsters and text screenshots of them being like: "OMG I gots some mad pips brah, 100 million pipz lulz #winning [intense sarcasm]."
Do yourself a favor and unfriend anyone who tries to sell you this shit. Because they are not your friend, and they view you as a $35 a month paycheck if you sign up. Most the common stuff you see in groups is people touting the wins, but don't fool yourself... Everyone is keeping their losses quiet because no one wants to make a fool out of themselves. I mean who makes videos of them watching someone else in video chat? Someone who doesn't know what the hell their doing or how to work technology... Which they happen to have some miracle program that will "change" your life. Oh, and the haters, HA you should just ignore them because they all don't like grape koolaide.
TL:DR Oh, look ma some YOLO saying swag fags are saying they can teach me to make mad bread. But it is just a job selling a job selling jobs to other people who in turn will be selling said jobs to others who will do the same.
4/24/16 EDIT This is the kind of shit that constantly keeps popping up in my feeds and spamming my cell phone in texts.
I just got started with Global Visionariez and iMarketsLive, What is next?! First off, Welcome to our family! My name is[removed name of person] Founder of GV, an organization that is changing lives and lifestyles around the globe. It's an honor to have you apart of the revolutionary team where our visions align towards a common cause. We have some of the best leadership hand to hand with the greatest opportunity in the game right now, which makes it a complete power house! The goal is the be able take the average person and have them take the road less travelled towards becoming an entrepreneur and attaining true freedom! The skills you will learn working along side with GV and IML are long lasting skills that you can pass down for generations to come and will help you develop and craft yourself into becoming the best version of yourself. We live by the Triple T's; TRADE. TRAVEL. TRANSFORM. Lifestyle by design. As we believe these are some of the main 3 keys towards freedom and happiness! 📈.✈.🚧.
Let's get started, you just bought your new car, now let's adjust the seats it to how you like it and what you want. The first thing you want to do is be able to get activated on your services and plugged into the sessions.
🔌 STAY PLUGGED IN AROUND THE CAMPFIRE 🔸 Subscribe To GV Updates [removed link]
📡Want to EARN before you LEARN and get connected to the Automatic Mirror Trader? [link removed] (1) FIRST create your broker account (Trading Funds Account) Choose the broker of your choice, we suggest Tradersway or FXCM 🔸 Tradersway ($8/month on FxSignalsLive - Better Leverage) INCLUDING PROMOTION (Less Deposit Fees, 18+, Deposit Bonus) [link removed] 🔸 FXCM (FREE on FxSignalsLive): [link removed] (2) How To Set Up Your Mirror-Trader? [more yolo swag links removed...]
📈📉 Want to start trading yourself? It's CRUCIAL to LEARN before you try to EARN trading yourself! Practice, practice, practice before you go LIVE. RULE #1, Don't EVER EVER EVER try to PREDICT the markets yourself, Don't have a gambling mindset! Be smart, Be strategic. Start with a DEMO account until you feel comfortable enough to trade with REAL money (30-90+ DAYS). If you want to start trading your real money deposit and connect with an MIRROR-TRADER [link removed] and trade with Chris Terry during LONDON / NY Sessions! Keep in mind, TRADING is 80% Mental (Psychology) and 20% Fundamental (Skillset) 📚(1) EDUCATE YOURSELF (STUDY more than you TRADE): 🔸 IML EDUCATION: Log into imarketslive.com -> TRADING -> TRADING LIBRARY 🔸 BEGINNERS KNOWLEDGE A-Z: [link removed] ; ⚠COMPLETE Pre-School before trading live 🔸 GVWSA COURSE: [link removed] ($50 one time) 🐾GV WALLSTREET (GVWSA): Train with Quillan Black through his legendary discounted course for IML members ONLY for $50 one time, completely up to you if you would like access, feel free to ask anyone around GV if it was worth it. If you plan to go to the next level trading and marking up charts you want to plug in ASAP! (2) SET UP MT4 (Trading Platform) + IML HARMONIC SCANNER 🔸 Download "MetaTrader 4" through App Store 🔸 Download MT4 / Scanner (Windows) [link removed] 🔸 Download MT4 /Scanner (MAC) [link removed] ⚠ Make sure you go through the Harmonic Scanner Course in IML Backoffice before you start using it. The Harmonic Scanner is primarily a confirmation tool to combine with your own analysis do NOT take trades off of it based of its entry calls, it is not 100% right neither would any software ever be. Use this in the right way and you will rock your world! (3) TRADE and LEARN with C. Terry 🔸 LONDON SESSION (Tues, Wed, Thurs) ⏰ 2am EST - 3am EST [more links removed] 🔸 NEW YORK SESSION (Mon - Fri) FOREX + FUTURES ⏰ 8am EST - 12pm EST [link removed] FULL RISK DISCLOSURE: Trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.
🗣 Paid sharing a retail service that is teaching you a financially independent skillset and helping you generate wealth in the worst economy? The FACT that you can potentially earn RESIDUAL income by sharing (marketing) a service that you would share for free anyways! The average MILLIONAIRE has 7 streams of income and never puts all of their eggs in one basket, especially throughout your journey of becoming a trader, the comfort of knowing you have a weekly residual income while you are trading in the markets truly powerful! YOUR FIRST GOAL ASAP........PERFECT STORM BONUS IN YOUR FIRST 14 DAYS. How to SHARE: What is Forex?: [link removed] What is IML (Overview): [link removed] Compensation Plan PDF: [link removed] Compensation Plan Video: [link removed] **TAG THE NEWEST MEMBER TO HAVE THEM START OFF THE RIGHT FOOT👇👇👇
edit 2 Removed links from post, I apologize I didn't notice the rule for this subreddit and fixed it before an admin got onto me. =) Edit/update 3* 5-21-16 Been a while now, still end up getting spam texts and other crap in my inbox on social media and email.
submitted by rjrttu86 to Forex [link] [comments]

FXPA White Paper: Sources of FX Market Liquidity During the Brexit Vote

The (brief and simple) whitepaper offers a behind-the-scenes look at liquidity flows during the Brexit vote. This isn't a topic that has garnered much attention, given the spot market had fairly minimal dysfunction during Brexit, and the paper itself doesn't offer the same level of highly detailed insight into bank trader activities that the criminal trial of HSBC FX trader Mark Johnson did.
What it does contain though is a very peculiar pearl of information, through its analysis of bank vs non-bank flows during the unfolding of the event.
Over the sample window, banks were responsible for 66.6% of Cable flow, 67.25% of EUGBP flow, 64.9% of EUUSD flow, 64.1% of USD/JPY and 61.7% of EUJPY
compare this to:
The proportion of flow in GBP/JPY was wild – with non-bank participants in one hour responsible for 96% of flow and in another, just 9%.
That non-bank participants should completely dominate flows for that cross seems notable.
One contributing factor is highlighted earlier in the paper.
The non-bank proportion rose in EUGBP and EUJPY, but could be because the data suggest the non-banks are more active in crosses than the “legs”. Several of these firms construct a price in the cross using the legs and because their technology is often nimbler and quicker, they are top of book in the more complex pairs.
(Emphasis mine)
What does all this mean for your trading?
For most people, it means nothing at all, as most retail traders get no further than the chart as printed and a series of set criteria.
For traders who work with market feel, or the lower timeframes, it raises some interesting question about whether or not non-bank liquidity feels different from bank dominated markets.
Non-bank liquidity providers are certainly working with a different agenda, different tech, and different liquidity networks from banks. And whilst not necessarily behaving unethically, they are also less likely to have a prudential-oriented client focus - banks in theory are trying to get best price for clients without disrupting the market, non-bank actors don't necessarily operate by these principles.
They also are more likely to operate with different risk parameters - high turnover, 'hot potato' providers have less depth of pocket than banks, so perhaps there might be more churn and candle-wick-y-ness, especially on thinner liquidity networks.
This is very subjective, and speculative, of course, but that is the nature of the way some of us play the game!
Here is the direct download link for the full text: https://fxpa.org/wp-content/uploads/2017/10/FXPA-brexit1B-FINAL.pdf
(The FXPA is the Foreign Exchange Professionals Association, an industry group whose founders include Bloomberg, CME, ICE, State Street and Virtu. It's an organisational body, so does not take membership from individuals).
submitted by alotmorealots to Forex [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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