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Former investment bank FX trader: Risk management part 3/3

Former investment bank FX trader: Risk management part 3/3
Welcome to the third and final part of this chapter.
Thank you all for the 100s of comments and upvotes - maybe this post will take us above 1,000 for this topic!
Keep any feedback or questions coming in the replies below.
Before you read this note, please start with Part I and then Part II so it hangs together and makes sense.
Part III
  • Squeezes and other risks
  • Market positioning
  • Bet correlation
  • Crap trades, timeouts and monthly limits

Squeezes and other risks

We are going to cover three common risks that traders face: events; squeezes, asymmetric bets.

Events

Economic releases can cause large short-term volatility. The most famous is Non Farm Payrolls, which is the most widely watched measure of US employment levels and affects the price of many instruments.On an NFP announcement currencies like EURUSD might jump (or drop) 100 pips no problem.
This is fine and there are trading strategies that one may employ around this but the key thing is to be aware of these releases.You can find economic calendars all over the internet - including on this site - and you need only check if there are any major releases each day or week.
For example, if you are trading off some intraday chart and scalping a few pips here and there it would be highly sensible to go into a known data release flat as it is pure coin-toss and not the reason for your trading. It only takes five minutes each day to plan for the day ahead so do not get caught out by this. Many retail traders get stopped out on such events when price volatility is at its peak.

Squeezes

Short squeezes bring a lot of danger and perhaps some opportunity.
The story of VW and Porsche is the best short squeeze ever. Throughout these articles we've used FX examples wherever possible but in this one instance the concept (which is also highly relevant in FX) is best illustrated with an historical lesson from a different asset class.
A short squeeze is when a participant ends up in a short position they are forced to cover. Especially when the rest of the market knows that this participant can be bullied into stopping out at terrible levels, provided the market can briefly drive the price into their pain zone.

There's a reason for the car, don't worry
Hedge funds had been shorting VW stock. However the amount of VW stock available to buy in the open market was actually quite limited. The local government owned a chunk and Porsche itself had bought and locked away around 30%. Neither of these would sell to the hedge-funds so a good amount of the stock was un-buyable at any price.
If you sell or short a stock you must be prepared to buy it back to go flat at some point.
To cut a long story short, Porsche bought a lot of call options on VW stock. These options gave them the right to purchase VW stock from banks at slightly above market price.
Eventually the banks who had sold these options realised there was no VW stock to go out and buy since the German government wouldn’t sell its allocation and Porsche wouldn’t either. If Porsche called in the options the banks were in trouble.
Porsche called in the options which forced the shorts to buy stock - at whatever price they could get it.
The price squeezed higher as those that were short got massively squeezed and stopped out. For one brief moment in 2008, VW was the world’s most valuable company. Shorts were burned hard.

Incredible event
Porsche apparently made $11.5 billion on the trade. The BBC described Porsche as “a hedge fund with a carmaker attached.”
If this all seems exotic then know that the same thing happens in FX all the time. If everyone in the market is talking about a key level in EURUSD being 1.2050 then you can bet the market will try to push through 1.2050 just to take out any short stops at that level. Whether it then rallies higher or fails and trades back lower is a different matter entirely.
This brings us on to the matter of crowded trades. We will look at positioning in more detail in the next section. Crowded trades are dangerous for PNL. If everyone believes EURUSD is going down and has already sold EURUSD then you run the risk of a short squeeze.
For additional selling to take place you need a very good reason for people to add to their position whereas a move in the other direction could force mass buying to cover their shorts.
A trading mentor when I worked at the investment bank once advised me:
Always think about which move would cause the maximum people the maximum pain. That move is precisely what you should be watching out for at all times.

Asymmetric losses

Also known as picking up pennies in front of a steamroller. This risk has caught out many a retail trader. Sometimes it is referred to as a "negative skew" strategy.
Ideally what you are looking for is asymmetric risk trade set-ups: that is where the downside is clearly defined and smaller than the upside. What you want to avoid is the opposite.
A famous example of this going wrong was the Swiss National Bank de-peg in 2012.
The Swiss National Bank had said they would defend the price of EURCHF so that it did not go below 1.2. Many people believed it could never go below 1.2 due to this. Many retail traders therefore opted for a strategy that some describe as ‘picking up pennies in front of a steam-roller’.
They would would buy EURCHF above the peg level and hope for a tiny rally of several pips before selling them back and keep doing this repeatedly. Often they were highly leveraged at 100:1 so that they could amplify the profit of the tiny 5-10 pip rally.
Then this happened.

Something that changed FX markets forever
The SNB suddenly did the unthinkable. They stopped defending the price. CHF jumped and so EURCHF (the number of CHF per 1 EUR) dropped to new lows very fast. Clearly, this trade had horrific risk : reward asymmetry: you risked 30% to make 0.05%.
Other strategies like naively selling options have the same result. You win a small amount of money each day and then spectacularly blow up at some point down the line.

Market positioning

We have talked about short squeezes. But how do you know what the market position is? And should you care?
Let’s start with the first. You should definitely care.
Let’s imagine the entire market is exceptionally long EURUSD and positioning reaches extreme levels. This makes EURUSD very vulnerable.
To keep the price going higher EURUSD needs to attract fresh buy orders. If everyone is already long and has no room to add, what can incentivise people to keep buying? The news flow might be good. They may believe EURUSD goes higher. But they have already bought and have their maximum position on.
On the flip side, if there’s an unexpected event and EURUSD gaps lower you will have the entire market trying to exit the position at the same time. Like a herd of cows running through a single doorway. Messy.
We are going to look at this in more detail in a later chapter, where we discuss ‘carry’ trades. For now this TRYJPY chart might provide some idea of what a rush to the exits of a crowded position looks like.

A carry trade position clear-out in action
Knowing if the market is currently at extreme levels of long or short can therefore be helpful.
The CFTC makes available a weekly report, which details the overall positions of speculative traders “Non Commercial Traders” in some of the major futures products. This includes futures tied to deliverable FX pairs such as EURUSD as well as products such as gold. The report is called “CFTC Commitments of Traders” ("COT").
This is a great benchmark. It is far more representative of the overall market than the proprietary ones offered by retail brokers as it covers a far larger cross-section of the institutional market.
Generally market participants will not pay a lot of attention to commercial hedgers, which are also detailed in the report. This data is worth tracking but these folks are simply hedging real-world transactions rather than speculating so their activity is far less revealing and far more noisy.
You can find the data online for free and download it directly here.

Raw format is kinda hard to work with

However, many websites will chart this for you free of charge and you may find it more convenient to look at it that way. Just google “CFTC positioning charts”.

But you can easily get visualisations
You can visually spot extreme positioning. It is extremely powerful.
Bear in mind the reports come out Friday afternoon US time and the report is a snapshot up to the prior Tuesday. That means it is a lagged report - by the time it is released it is a few days out of date. For longer term trades where you hold positions for weeks this is of course still pretty helpful information.
As well as the absolute level (is the speculative market net long or short) you can also use this to pick up on changes in positioning.
For example if bad news comes out how much does the net short increase? If good news comes out, the market may remain net short but how much did they buy back?
A lot of traders ask themselves “Does the market have this trade on?” The positioning data is a good method for answering this. It provides a good finger on the pulse of the wider market sentiment and activity.
For example you might say: “There was lots of noise about the good employment numbers in the US. However, there wasn’t actually a lot of position change on the back of it. Maybe everyone who wants to buy already has. What would happen now if bad news came out?”
In general traders will be wary of entering a crowded position because it will be hard to attract additional buyers or sellers and there could be an aggressive exit.
If you want to enter a trade that is showing extreme levels of positioning you must think carefully about this dynamic.

Bet correlation

Retail traders often drastically underestimate how correlated their bets are.
Through bitter experience, I have learned that a mistake in position correlation is the root of some of the most serious problems in trading. If you have eight highly correlated positions, then you are really trading one position that is eight times as large.
Bruce Kovner of hedge fund, Caxton Associates
For example, if you are trading a bunch of pairs against the USD you will end up with a simply huge USD exposure. A single USD-trigger can ruin all your bets. Your ideal scenario — and it isn’t always possible — would be to have a highly diversified portfolio of bets that do not move in tandem.
Look at this chart. Inverted USD index (DXY) is green. AUDUSD is orange. EURUSD is blue.

Chart from TradingView
So the whole thing is just one big USD trade! If you are long AUDUSD, long EURUSD, and short DXY you have three anti USD bets that are all likely to work or fail together.
The more diversified your portfolio of bets are, the more risk you can take on each.
There’s a really good video, explaining the benefits of diversification from Ray Dalio.
A systematic fund with access to an investable universe of 10,000 instruments has more opportunity to make a better risk-adjusted return than a trader who only focuses on three symbols. Diversification really is the closest thing to a free lunch in finance.
But let’s be pragmatic and realistic. Human retail traders don’t have capacity to run even one hundred bets at a time. More realistic would be an average of 2-3 trades on simultaneously. So what can be done?
For example:
  • You might diversify across time horizons by having a mix of short-term and long-term trades.
  • You might diversify across asset classes - trading some FX but also crypto and equities.
  • You might diversify your trade generation approach so you are not relying on the same indicators or drivers on each trade.
  • You might diversify your exposure to the market regime by having some trades that assume a trend will continue (momentum) and some that assume we will be range-bound (carry).
And so on. Basically you want to scan your portfolio of trades and make sure you are not putting all your eggs in one basket. If some trades underperform others will perform - assuming the bets are not correlated - and that way you can ensure your overall portfolio takes less risk per unit of return.
The key thing is to start thinking about a portfolio of bets and what each new trade offers to your existing portfolio of risk. Will it diversify or amplify a current exposure?

Crap trades, timeouts and monthly limits

One common mistake is to get bored and restless and put on crap trades. This just means trades in which you have low conviction.
It is perfectly fine not to trade. If you feel like you do not understand the market at a particular point, simply choose not to trade.
Flat is a position.
Do not waste your bullets on rubbish trades. Only enter a trade when you have carefully considered it from all angles and feel good about the risk. This will make it far easier to hold onto the trade if it moves against you at any point. You actually believe in it.
Equally, you need to set monthly limits. A standard limit might be a 10% account balance stop per month. At that point you close all your positions immediately and stop trading till next month.

Be strict with yourself and walk away
Let’s assume you started the year with $100k and made 5% in January so enter Feb with $105k balance. Your stop is therefore 10% of $105k or $10.5k . If your account balance dips to $94.5k ($105k-$10.5k) then you stop yourself out and don’t resume trading till March the first.
Having monthly calendar breaks is nice for another reason. Say you made a load of money in January. You don’t want to start February feeling you are up 5% or it is too tempting to avoid trading all month and protect the existing win. Each month and each year should feel like a clean slate and an independent period.
Everyone has trading slumps. It is perfectly normal. It will definitely happen to you at some stage. The trick is to take a break and refocus. Conserve your capital by not trading a lot whilst you are on a losing streak. This period will be much harder for you emotionally and you’ll end up making suboptimal decisions. An enforced break will help you see the bigger picture.
Put in place a process before you start trading and then it’ll be easy to follow and will feel much less emotional. Remember: the market doesn’t care if you win or lose, it is nothing personal.
When your head has cooled and you feel calm you return the next month and begin the task of building back your account balance.

That's a wrap on risk management

Thanks for taking time to read this three-part chapter on risk management. I hope you enjoyed it. Do comment in the replies if you have any questions or feedback.
Remember: the most important part of trading is not making money. It is not losing money. Always start with that principle. I hope these three notes have provided some food for thought on how you might approach risk management and are of practical use to you when trading. Avoiding mistakes is not a sexy tagline but it is an effective and reliable way to improve results.
Next up I will be writing about an exciting topic I think many traders should look at rather differently: news trading. Please follow on here to receive notifications and the broad outline is below.
News Trading Part I
  • Introduction
  • Why use the economic calendar
  • Reading the economic calendar
  • Knowing what's priced in
  • Surveys
  • Interest rates
  • First order thinking vs second order thinking
News Trading Part II
  • Preparing for quantitative and qualitative releases
  • Data surprise index
  • Using recent events to predict future reactions
  • Buy the rumour, sell the fact
  • The mysterious 'position trim' effect
  • Reversals
  • Some key FX releases
***

Disclaimer:This content is not investment advice and you should not place any reliance on it. The views expressed are the author's own and should not be attributed to any other person, including their employer.
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Free Udemy Courses: Ethical Hacking A-Z, Python 3 Javascript, Linux, Spark & Hadoop Developer, Excel, SEO, SQL, Scrum, Agile, Youtube, Forex

The following description is not provided by this sub or any of it's contributors.
Udemy
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Free Udemy Courses: Ethical Hacking A-Z, Python 3 Javascript, Linux, Spark & Hadoop Developer, Excel, SEO, SQL, Scrum, Agile, Youtube, Forex

The following description is not provided by this sub or any of it's contributors.
Udemy
Another list of courses: Credit: Reddit
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https://www.m1finance.com/articles-2/best-financial-websites/

What are the best financial websites?
The best financial sites offer a wealth of resources to people ranging from beginning investors to seasoned professionals. Some of these websites come from recognized leading financial media sources while others offer personal and investment financial advice from bloggers who have been successful. We have compiled a list of the best financial sites and finance blogs that you should include in your list of reading.
Why should I read the top financial websites?
In the past, people had to rely on financial advisors to gain information and education about finance. That notion has changed with the availability of the internet. There is a variety of top financial websites with more coming online each day. Since not everyone has a background in finance, reading some of the best websites is a great way for you to become more educated and confident about finance.
When did financial advice websites begin?
Financial websites started in the late 1990s with many more coming online in the 2000s. Some, such as Bankrate, started out in print decades ago before transforming into one of the best financial websites. Financial planning websites can help you to learn how to manage your money and to build wealth in a more effective way.
Learn about the best financial websites and financial blogs from M1 Finance Users of the best financial websites today
According to data from Statista, the top three leading finance websites by visitors include Yahoo! Finance with 70 million visitors per month, MSN Money Central with 65 million monthly visitors, and CNN Money with 50 million monthly visitors. The need for financial education and literacy is clear. According to the Financial Educators Council, the average test result for financial literacy across all age groups was a low 63%.
According to the Next Web, more than one million new users of the internet are coming online every day. There are reportedly over 4.3 billion internet users who are now online around the world. The global reach of the internet makes it an ideal vehicle for helping people around the world to become financially literate.
What are some of the best general financial websites?
These best financial websites are leaders in the provision of general financial information. Investors of all levels can benefit by making it a habit to read these top financial websites on a regular basis.
Yahoo!Finance
Yahoo! Finance aggregates finance news from around the internet. It also allows you to purchase company reports. You can find charts, price quotes, information about competitor companies, earnings reports and key ratios for free.
CNBC Markets
CNBC Markets provides up-to-date news about the global markets. In the news section, you can find listings of developments in the U.S. stock markets as well as for developments across Europe and Asia.
Forbes Money
Forbes Money is a leader in the finance and business world. Readers who are invested in topics such as investing, business and leadership can all find something that appeals to them in Forbes. In addition to finance topics, Forbes also covers related financial areas.
Investing.com
Investing.com is one of the best financial sites for people who are interested in active trading. On the home page, you can view forex prices, ETFs, commodities prices and futures contracts. The news section offers in-depth articles. Investors check this site daily to see current quotes for a variety of different investments.
Bloomberg
Bloomberg is one of the best financial websites for market data. On its news section, you can choose from different categories by region, general financial information, industry and asset class. You can see the historical information for a queried stock, which is helpful in identifying how different types of news reports impact the performance of the stock.
Reuters
Reuters is another website for obtaining market data. It offers broad coverage of stock news, sector news and market news. You can also find historical information, as well as an auto-complete stock name feature that is helpful search tool.
GoogleFinance
GoogleFinance is one of the best financial sites because of its search functionality. You can find an abundance of information about price quotes, news, competitor companies, earnings reports and key ratios. Keep in mind that some news items are not in real-time.
Read about the best financial websites and financial blogs from M1 Finance The Wall Street Journal
The Wall Street Journal has been released in print format since 1989. Online, it is reviewed as one of the top financial websites around the world. Readers from across the globe subscribe to the Wall Street Journal for its business news. The WSJ also offers its readers email alerts about news and stock information.
Investopedia
Investopedia is one of the best financial websites because of its emphasis on financial education. You are able to start a watchlist to track your stocks and can take courses on investing through its Investopedia Academy. The many articles offered by Investopedia is a rich resource for people who want to learn more about the stock market and financial principles.
Financial Times
The Financial Times is another leading publication that is read around the world. It offers comprehensive international coverage of financial news. However, you are only able to read the headlines for free. With a paid subscription, you can read the detailed news reports and gain access to diversified content.
NerdWallet
NerdWallet is one of the best financial websites for comparisons. The site allows you to compare investment accounts, high-yield savings accounts, CDs, debit cards, mortgages and credit cards. The site releases a best list for every category annually.
The Economist
The Economist is another go-to source for the latest in international news. It is authoritative and offers in-depth coverage of politics, finance, business, technology and science.
BankRate
BankRate was launched in 1976 as a newsletter and is highly respected. It has become one of the best financial websites available on the internet. You can find a wealth of data on mortgages, bank rates and credit cards. It also offers online financial advice about financial planning, investing and saving for retirement.
Barron’s
Barron’s is a weekly newspaper that has been published since 1921. On its website, it provides news about market developments in the U.S., financial information and related statistics. The website contains interest sections with in-depth coverage contained within each. Latest financial news can be found on its home page, while interest sections include technology, retirement, options and funds.
SEC
The SEC offers primary source material such as the quarterly and annual financial reports that have been filed with the SEC. These include publicly-traded companies’ filings. All of this data can be accessed through EDGAR on the SEC’s website by searching for a stock ticker symbol or the name of a company.
Kiplinger
Kiplinger ranks as one of the top financial advice websites. It is a sound resource for financial advice with coverage on how to save money and avoid fees. Kiplinger has a section that covers the basics of personal finance and has quizzes on a variety of finance topics.
Motley Fool
The Motley Fool offers investors in-depth analysis on general financial information. It also has stock market analyses and insights. While the name might be odd, the financial services company encourages its readers to become financially independent through information and research. Access to advice from experts is offered for an additional charge.
Money Morning
Money Morning boasts a free daily newsletter on information that can help you to become financially independent. The site’s layout is divided into major categories as well as hot topics sections. You can find advice on different stocks with in-depth analyses.
What are some of the best financial websites for stocks and trading?
If you are wanting to focus on the best financial websites for stocks, you can cut down your search time by including in your reading these best financial sites that we have listed for you. Each of these sites allows you to get the information that you need about different stocks and companies so that you can make informed investment decisions.
Investigate the best financial websites and financial blogs from M1 Finance CNN Markets
CNN is among the top news networks in the world. It has a markets section that simplifies browsing of economic news. The markets section contains current financial news, commodities changes, trending stocks and much more. Each of these topics has its own dedicated page for more in-depth information. If you want a fast update about the market news, CNN is a great source.
MarketWatch
MarketWatch has a news viewer section that gives you access to stories that have timestamps. News items are automatically updated, and its coverage includes global stock markets, forex, commodities and other classes of assets. It also offers data about macroeconomics and fundamental analysis information.
Seeking Alpha
Seeking Alpha aggregates data from other financial sites. You can find trending finance articles from across the internet together with the top-performing stocks and recent news. Seeking Alpha articles range from types of investment to investment strategies.
NASDAQ
NASDAQ offers the latest analysis and stock market news. You can find information on companies and their competitors, the latest news and see how the markets are performing. The site also provides quote updates and financial tools to aid in your investing endeavors.
Morningstar
Morningstar allows you to view annual returns of ETFs and mutual funds for the past 10 years. Quarterly and monthly returns for the past five years are also available on this site. You can review the after-tax returns of different funds so that you can gain a better idea of investor earnings.
The Street
The Street is one of the best financial sites for news about investing. When you read The Street, you can find opinions, recommendations, current events and how to get started in the market. There are also paid services that are available to investors, including market analyses and advanced strategies.
Zacks Investment Research
Zacks Investment Research requires you to sign up for a free membership to gain access to its data on funds and stocks. You are able to use this site to conduct comprehensive research. Zacks gives you access to independent reports that can help you when you are trying to build a well-diversified portfolio.
Review the best financial websites and financial blogs from M1 Finance NYSE
If you are invested in the stock market, the NYSE should be included on your list of best financial sites to read. The NYSE access includes listings information, markets, historical and real-time market data. All investors should make a habit of checking the NYSE’s site on a regular basis to stay informed.
What are some of the best financial blog sites?
Our list of best financial websites contains multiple finance blogs. These blogs offer online financial advice and financial planning tools while also providing answers to common investing questions. A list of the best financial sites would not be complete without including these top financial websites.
The Balance
The Balance offers articles that are divided into categories such as retirement, investing, debt management and banking. The articles give advice about many areas of finance and aim to increase your financial literacy.
Wise Bread
Wise Bread is a community of personal finance bloggers and finance experts. The goal is to help people to live well financially and to derive more enjoyment out of life. It includes multiple sections, including personal finance, frugal living, life hacks, credit cards and career advice.
Financial Post
The Financial Post offers a mix of financial news and analysis together with personal finance advice. The site targets a range of people from young investors to high net worth investors.
Money Crashers
Money Crashers is a comprehensive site that covers nearly all things related to finance. You can find information about debt, credit, investments, living frugally, small business and family. The goal is to educate those who are looking to make sound financial decisions.
The Simple Dollar
The Simple Dollar, written by the author of “365 Ways to Live Cheap!”, provides numerous tips for frugal living. It is one of the best financial planning websites for people who are wanting to gain control of their finances. Reading this blog can give you answers to your financial questions about how to reduce your expenses so that you can live within your means.
Good Financial Cents
Good Financial Cents is one of the best financial sites for people who want to learn about personal finance. It is written by Jeff Rose, who also has a YouTube Channel featuring many of his blog topics. The focus of this certified financial advisor’s blog is to educate people on how to become financially independent.
Financial Samurai
The Financial Samurai was established in 2009 by Sam Dogen. He was able to leave his job in corporate America after 13 years by saving at least 50% of his after-tax income from the time that he began his professional job. He invested his savings in real estate, bonds, stocks and CDs in order to have enough passive income to be able to quit his job and focus on his blog. He offers information about wealth management, financial products, real estate and more.
Dave Ramsey
Dave Ramsey is a well-known expert in the finance field who offers financial planning tools and personal finance education. His blog is recognized as one of the top financial planning websites and is used by millions of people to learn how to build wealth, reduce debt and increase their savings.
Mint Life
Mint Life is among the best financial sites for people who are looking for a broad personal finance resource. The blog contains a large list of money management categories with a range of articles available in each. The categories include everything from student finances, housing finances, food budgets, to much more.
Mr. Money Mustache
Mr. Money Mustache is a credible finance site with a quirky name. The author, who was able to retire at age 30, started his blog in 2005 when he was 36 years old. The blog’s mission is to allow you to learn how to live below your means and to build your savings quickly so that you can retire early, too.
Incorporating some of the best financial websites into your daily life can help you to learn more about how you can attain financial freedom by budgeting, living frugally and making saving a habit. You can take the information that you learn from these sites and apply it when you invest with M1 Finance.
Learn how M1 can empower you to manage your money and earn more
You can use your acquired knowledge from top financial websites to manage your own portfolio with M1. Instead of paying someone else to build a portfolio, you are able to build one yourself with M1. You have the control to customize your portfolio in order to meet your needs or you the option to choose from 80 prebuilt expert portfolios that were created to meet different goals, timeframes and risk levels. The sleek and intuitive design of the M1 Finance platform makes managing and building your portfolio simple.
M1 Finance is an online brokerage firm that blends key financial principles with digital technology to provide investors with a straightforward and seamless investing experience. M1 Finance helps you to manage your money in a more effective way so that you can earn more. The platform uses automated reinvestments and dynamic portfolio rebalancing to save you time. These features help to keep your portfolio in line to meet your financial goals.
When you choose M1 Finance, you are able to invest for free. M1 does not charge management fees or commissions, and you will be able to access the powerful automation from anywhere with its mobile investing capabilities. Get started today by signing up online or call us to learn more about investing at 312-600-2883. DISCLAIMER: Please consult your finance and tax professionals to learn more about investing and taxes.
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What is price action trading methodology? Read this to find out.

MOST RECENT POST 1/16/19
I’d like to make this into a thread for others to learn about what price action trading is. I mainly trade the /es. I sometimes trade forex. I will add as much as possible to this thread in the most organized way possible.

1/15/2019 ENTRY
. WHAT IS A MARKET?
A market is a place where many individuals come together in order to find the best price possible for anything. Anything can be exchanged on a market. You can go to a farmers market nearby and you would ultimately be engaged in a market that is almost the same as buying and selling on the stock market. Everyone is trying to sell something and buy something for the best price possible. In terms of trading, you can buy and sell a variety of stuff. For example, currencies, stocks, futures contracts. You can even buy corn, soy beans, livestock, and oil on the futures market. You’d be surprised with everything that you are able to trade on the market. You are simply trying to buy or sell any given thing at the best price possible.
Why do markets exist?
Once again, markets are trying to find the best price possible. Markets exist in order to avoid being ripped off. Let’s look at some examples.
Example one is that you are trying to buy a house. You will go door-to-door asking people if they will sell you their house. Eventually you will find a house. That person will know that no one else is trying to sell a house. Since they do not feel any competition in selling, they will sell you the house at a very expensive price.
Now let’s look at situation two. You are attempting to sell your house. Imagine that a realtor did not exist. You would have to go door-to-door asking people if they wanted to buy your house. People would know that there is not a demand or a need to buy your house, so they would offer you the cheapest price possible.
In both of these situations, there is a middle man that could help avoid selling at the incorrect price or buying at the incorrect price. In the housing market, this is called a realtor. In trading , this is called a broker.
The job of the realtor is to find people that want to buy a house and people that want to sell a house. This will help with finding the correct house market value for the area where you live.
The job of a broker is to find people that want to buy a stock or sell a stock. The more people that are trying to buy or sell the stock, the closer that the stock will be to fair market value.
Trading markets and brokers solely exist for the reason of finding Many people that want to buy and sell on the market. This will in the end help find the best price possible for whatever you are trying to trade.
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1/16/19 ENTRY
Chart types and bar types

Chart types
There are a variety of different ways to graph the way that price moves around while the market is open. Remember the only reason why we are at the market is in order to get the best price possible. A graph has two axis. The X axis, and the Y axis.
Remember this from math class in high school? It's back to haunt you again lol.
The X axis (the horizontal bottom part of the graph can show us time, volume, range, or ticks. You are probably most familiar with time. This is where a bar is formed every X given time interval. For example, if you are looking at a 1 hour chart, the X axis will print a bar every 1 hour. There are also more chats like the tick chart. The tick chart will print a bar every x given ticks. For example, a 1000 tick chart will print a new bar on the chart every 1000 ticks. What is a tick? It is simply a a movement of price. Look at a bar chart on a one minute time frame. During the one minute when a bar is forming, it is moving up and down. Each up and down movement is a tick. a 1000 volume chart will form a new bar when 1000 shares are bought or sold.
The Y-axis (vertical line on the side of the graph), is basically price. Price tends to move in .25 cent intervals for future indices, pipettes in Forex, and .01 cents in stocks. Time charts, volume charts, tick charts, range charts. There are all showing the same y- axis, but the interval on the x-axis changes. None is better than the other. It is all personal preference and risk management. I'll get more into this later. For now, i'd stick to a 1,3, or 5 minute chart if I were to be day trading.

Bar types

There are many different types of bars. A bar can range from a bar, candle, line, to point and figure. I mainly use candles on a 5 minute graph. The benefit of bar and candle is that they show the open high low and close of the time period on the x-axis. The line graph only shows the closing price. There are tons of websites that teach how to read the basics of these bars for free. You should learn how to read their open, high, low, and close. LEARN THIS BEFORE YOU KEEP READING.

Many websites show Japanese candle sticks as having many types of names based on the shape that they make in relation to the bars next to them. This can work for some people, but I personally do not use them. I do not see how naming a pattern that a bar makes will help me get a win in the market.

A bar can be used to its most maximum and basic ability by indicating if its in a trend or range bar. A trend is basically when a market is going up or down with higher highs and lower lows ( more on this later). A range is basically when a market is not going up or not going down. It is just going side ways. (more on this later).

Here are some examples.

Trending bar
This bar is from a 5 minute chart. You can see it opened on its on its high, it then went down and closed on its low. The bar did not have any wicks or tails on it. This is indicating that on a lower time frame (e.g. 1 minute) there is a strong trend down.

Consolidation bar

This bar is from a 5 minute chart. Here you can see that the bar had a small body, and very large wicks. This is a Consolidation bar. On a lower time frame the market simply went sideways. It went up and down for 5 minutes. It then closed close to where it opened.

For me this is all I need to know about bars. I don't memorize bar names or any thing fancy like that. All I care about is if the market is trending or if the market is consolidating.


To wrap up charts, there are a few different types of chart types and bar types. I also introduced you to a basic understanding of consolidating markets, and trending markets. Also how you can see if it is consolidating or trending by just looking at a bar. I like to use candle sticks, and 5 minute charts.


More to come soon! Any feedback?
I DO NOT SELL A COURSE OR HAVE A WEBSITE ONLINE THAT IS ABOUT TRADING. IM AN INDEPENDENT TRADER. THIS POST WILL BE PURELY ALTRUISTIC.
submitted by jcthetrader to Daytrading [link] [comments]

Elaborating on Datadash's 50k BTC Prediction: Why We Endorse the Call

As originally published via CoinLive
I am the Co-Founder at CoinLive. Prior to founding Coinlive.io, my area of expertise was inter-market analysis. I came across Datadash 50k BTC prediction this week, and I must take my hats off to what I believe is an excellent interpretation of the inter-connectivity of various markets.
At your own convenience, you can find a sample of Intermarket analysis I've written in the past before immersing myself into cryptos full-time.
Gold inter-market: 'Out of sync' with VIX, takes lead from USD/JPY
USD/JPY inter-market: Watch divergence US-Japan yield spread
EUUSD intermarket: US yields collapse amid supply environment
Inter-market analysis: Risk back in vogue, but for how long?
USD/JPY intermarket: Bulls need higher adj in 10-y US-JP spread
The purpose of this article is to dive deeper into the factors Datadash presents in his video and how they can help us draw certain conclusions about the potential flows of capital into crypto markets and the need that will exist for a BTC ETF.
Before I do so, as a brief explainer, let's touch on what exactly Intermarket analysis refers to:
Intermarket analysis is the global interconnectivity between equities, bonds, currencies, commodities, and any other asset class; Global markets are an ever-evolving discounting and constant valuation mechanism and by studying their interconnectivity, we are much better positioned to explain and elaborate on why certain moves occur, future directions and gain insights on potential misalignments that the market may not have picked up on yet or might be ignoring/manipulating.
While such interconnectivity has proven to be quite limiting when it comes to the value one can extract from analyzing traditional financial assets and the crypto market, Datadash has eloquently been able to build a hypothesis, which as an Intermarket analyst, I consider very valid, and that matches up my own views. Nicolas Merten constructs a scenario which leads him to believe that a Bitcoin ETF is coming. Let's explore this hypothesis.
I will attempt to summarize and provide further clarity on why the current events in traditional asset classes, as described by Datadash, will inevitably result in a Bitcoin ETF. Make no mistake, Datadash's call for Bitcoin at 50k by the end of 2018 will be well justified once a BTC ETF is approved. While the timing is the most challenging part t get right, the end result won't vary.
If one wishes to learn more about my personal views on why a BTC ETF is such a big deal, I encourage you to read my article from late March this year.
Don't Be Misled by Low Liquidity/Volume - Fundamentals Never Stronger
The first point Nicholas Merten makes is that despite depressed volume levels, the fundamentals are very sound. That, I must say, is a point I couldn't agree more. In fact, I recently wrote an article titled The Paradox: Bitcoin Keeps Selling as Intrinsic Value Set to Explode where I state "the latest developments in Bitcoin's technology makes it paradoxically an ever increasingly interesting investment proposition the cheaper it gets."
However, no article better defines where we stand in terms of fundamentals than the one I wrote back on May 15th titled Find Out Why Institutions Will Flood the Bitcoin Market, where I look at the ever-growing list of evidence that shows why a new type of investors, the institutional ones, looks set to enter the market in mass.
Nicholas believes that based on the supply of Bitcoin, the market capitalization can reach about $800b. He makes a case that with the fundamentals in bitcoin much stronger, it wouldn't be that hard to envision the market cap more than double from its most recent all-time high of more than $300b.
Interest Rates Set to Rise Further
First of all, one of the most immediate implications of higher rates is the increased difficulty to bear the costs by borrowers, which leads Nicholas to believe that banks the likes of Deutsche Bank will face a tough environment going forward. The CEO of the giant German lender has actually warned that second-quarter results would reflect a “revenue environment [that] remains challenging."
Nicholas refers to the historical chart of Eurodollar LIBOR rates as illustrated below to strengthen the case that interest rates are set to follow an upward trajectory in the years to come as Central Banks continue to normalize monetary policies after a decade since the global financial crisis. I'd say, that is a correct assumption, although one must take into account the Italian crisis to be aware that a delay in higher European rates is a real possibility now.
![](https://coinlive.io/ckeditor_assets/pictures/947/content_2018-05-30_1100.png)
Let's look at the following combinations: Fed Fund Rate Contract (green), German 2-year bond yields (black) and Italy's 10-year bond yield (blue) to help us clarify what's the outlook for interest rates both in Europe and the United States in the foreseeable future. The chart suggests that while the Federal Reserve remains on track to keep increasing interest rates at a gradual pace, there has been a sudden change in the outlook for European rates in the short-end of the curve.
While the European Central Bank is no longer endorsing proactive policies as part of its long-standing QE narrative, President Mario Draghi is still not ready to communicate an exit strategy to its unconventional stimulus program due to protectionism threats in the euro-area, with Italy the latest nightmare episode.
Until such major step is taken in the form of a formal QE conclusion, interest rates in the European Union will remain depressed; the latest drastic spike in Italy's benchmark bond yield to default levels is pre-emptive of lower rates for longer, an environment that on one hand may benefit the likes of Deutsche Bank on lower borrowing costs, but on the other hand, sets in motion a bigger headache as risk aversion is set to dominate financial markets, which leads to worse financial consequences such as loss of confidence and hence in equity valuations.
![](https://coinlive.io/ckeditor_assets/pictures/948/content_2018-05-30_1113.png)
Deutsche Bank - End of the Road?
Nicholas argues that as part of the re-restructuring process in Deutsche Bank, they will be facing a much more challenging environment as lending becomes more difficult on higher interest rates. At CoinLive, we still believe this to be a logical scenario to expect, even if a delay happens as the ECB tries to deal with the Italian political crisis which once again raises the question of whether or not Italy should be part of the EU. Reference to an article by Zerohedge is given, where it states:
"One day after the WSJ reported that the biggest German bank is set to "decimate" its workforce, firing 10,000 workers or one in ten, this morning Deutsche Bank confirmed plans to cut thousands of jobs as part of new CEO Christian Sewing's restructuring and cost-cutting effort. The German bank said its headcount would fall “well below” 90,000, from just over 97,000. But the biggest gut punch to employee morale is that the bank would reduce headcount in its equities sales and trading business by about 25%."
There is an undeniably ongoing phenomenon of a migration in job positions from traditional financial markets into blockchain, which as we have reported in the past, it appears to be a logical and rational step to be taken, especially in light of the new revenue streams the blockchain sector has to offer. Proof of that is the fact that Binance, a crypto exchange with around 200 employees and less than 1 year of operations has overcome Deutsche Bank, in total profits. What this communicates is that the opportunities to grow an institution’s revenue stream are formidable once they decide to integrate cryptocurrencies into their business models.
One can find an illustration of Deutsche Bank's free-fall in prices below:
![](https://coinlive.io/ckeditor_assets/pictures/946/content_2018-05-30_1052.png)
Nicholas takes notes of a chart in which one can clearly notice a worrying trend for Italian debt. "Just about every other major investor type has become a net seller (to the ECB) or a non-buyer of BTPs over the last couple of years. Said differently, for well over a year, the only marginal buyer of Italian bonds has been the ECB!", the team of Economists at Citi explained. One can find the article via ZeroHedge here.
![](https://coinlive.io/ckeditor_assets/pictures/953/content_2018-05-30_1451.png)
Equities & Housing to Suffer the Consequences
Nicholas notes that trillions of dollars need to exit these artificially-inflated equity markets. He even mentions a legendary investor such as George Soros, who has recently warned that the world could be on the brink of another devastating financial crisis, on lingering debt concerns in Europe and a strengthening US dollar, as a destabilizing factor for both the US's emerging- and developed-market rivals.
Ray Dalio, another legend in the investing world and Founder of Bridgewater Associates, the world’s largest hedge fund, "has ramped up its short positions in European equities in recent weeks, bringing their total value to an estimated $22 billion", MarketWatch reports.
Nicholas extracts a chart by John Del Vecchio at lmtr.com where it illustrates the ratio between stocks and commodities at the lowest in over 50 years.
As the author states:
"I like to look for extremes in the markets. Extremes often pinpoint areas where returns can be higher and risk lower than in other time periods. Take the relationship between commodities and stocks. The chart below shows that commodities haven not been cheaper than stocks in a generation. We often hear this time it is different” to justify what’s going on in the world. But, one thing that never changes is human nature. People push markets to extremes. Then they revert. "
![](https://coinlive.io/ckeditor_assets/pictures/954/content_2018-05-30_1459.png)
Bitcoin ETF the Holy Grail for a Cyclical Multi-Year Bull Run
It is precisely from this last chart above that leads Nicholas to believe we are on the verge of a resurgence in commodity prices. Not only that but amid the need of all this capital to exit stocks and to a certain extent risky bonds (Italian), a new commodity-based digital currency ETF based on Bitcoin will emerge in 2018.
The author of Datadash highlights the consideration to launching a Bitcoin ETF by the SEC. At CoinLive, our reporting of the subject can be found below:
"Back in April, it was reported that the US Securities and Exchange Commission (SEC) has put back on the table two Bitcoin ETF proposals, according to public documents. The agency is under formal proceedings to approve a rule change that would allow NYSE Arca to list two exchange-traded funds (ETFs) proposed by fund provider ProShares. The introduction of an ETF would make Bitcoin available to a much wider share of market participants, with the ability to directly buy the asset at the click of a button, essentially simplifying the current complexity that involves having to deal with all the cumbersome steps currently in place."
Nicholas refers to the support the Bitcoin ETF has been receiving by the Cboe president Chris Concannon, which is a major positive development. CoinLive reported on the story back in late March, noting that "a Bitcoin ETF will without a doubt open the floodgates to an enormous tsunami of fresh capital entering the space, which based on the latest hints by Concannon, the willingness to keep pushing for it remains unabated as the evolution of digital assets keeps its course."
It has been for quite some time CoinLive's conviction, now supported by no other than Nicholas Merten from Datadash, that over the next 6 months, markets will start factoring in the event of the year, that is, the approval of a Bitcoin ETF that will serve as a alternative vehicle to accommodate the massive flows of capital leaving some of the traditional asset classes. As Nicholas suggests, the SEC will have little choice but to provide alternative investments.
Bitcoin as a Hedge to Lower Portfolios' Volatility
Last but not least, crypto assets such as Bitcoin and the likes have an almost non-existent correlation to other traditional assets such as stocks, bonds, and commodities, which makes for a very attractive and broadly-applicable diversification strategy for the professional money as it reduces one’s portfolio volatility. The moment a Bitcoin ETF is confirmed, expect the non-correlation element of Bitcoin as a major driving force to attract further capital.
Anyone Can Be Wrong Datadash, But You Won't be Wrong Alone
Having analyzed the hypothesis by Nicholas Merten, at CoinLive we believe that the conclusion reached, that is, the creation of a Bitcoin ETF that will provide shelter to a tsunami of capital motivated by the diversification and store of value appeal of Bitcoin, is the next logical step. As per the timing of it, we also anticipate, as Nicholas notes, that it will most likely be subject to the price action in traditional assets. Should equities and credit markets hold steady, it may result in a potential delay, whereas disruption in the capital market may see the need for a BTC ETF accelerate. Either scenario, we will conclude with a quote we wrote back in March.
"It appears as though an ETF on Bitcoin is moving from a state of "If" to "When."
Datadash is certainly not alone on his 50k call. BitMEX CEO Arthur Hayes appears to think along the same line.
On behalf of the CoinLive Team, we want to thank Nicholas Merten at Datadash for such enlightening insights.
submitted by Ivo333 to BitcoinMarkets [link] [comments]

90 Day Update / Beginner's Post

Hey all, First time poster, long time lurker. Just learning until I think of useful/interesting post. I just finished Babypips school. No this isn’t another, “What do I do next?!” eager to consume posts. More just introducing myself and share methods as I progress and chat more in this sub. It’s been a super helpful research tool with just the sidebar alone, but the interactions are also generally positive and research engaged. Forex was on my list of active/sidehobby/internet ideas to try. (Along with selling on Ebay and learning/teaching languages) I’ve always been into stocks/finance and I’m open still open to continuing learning past forex into futures and/or cryptocurrency. Forex to me is kind of an intro to price action and charts for me. Also the physics of it all that I’m hoping to apply more as time goes on. Anyways , started forex 2 years ago. Saw I needed disposable income you could lose (which I didnt have at the time) and put it off. Now I’m about 3 months in with my rediscovery of it with a lot more financial cushion/discipline.I finished the babypips school and try to practice 25-45 mins a day of something forex related the last 90 days or so. Here is my routine and some things I”ve learned since starting.
Demo Trading is overrated. And then it becomes the best thing ever. I’m gunna just go out and say it. IF you’re trading for 9 months on demo you should’ve stopped 8 months ago. I mean don’t get me wrong 9 months, that shows alot of persistence in your habits, but you’re spending time on a variable that doesn’t exchange certainty in the real system. I only even say this because you could be like me. Trade demo all this time then find out the leverage you wanted isn’t even available in your country. (U.S here) So I felt like a dummy from the jump, but that’s part of the learning curve you should be doing sooner rather than later. This does not mean fund your account fully. No, put just $200. I trade with my initial capitol @ $200 and I won’t add a penny more until I’ve developed a profitable system with what’s already in there. A good investment is a good investment and throwing more money doesn’t actually add value to the growth return on your investment.(In most cases) So what’s the big deal with Demo? Well for one you want to work with a system that’s tangible in your country. U.S is capped at 1:50 leverage. I don’t know other countries regulations but it’s something I wish someone told me to look out for before I started testing financial strategies. Another thing is the spreads are often very different from what you find in demo (attention scalpers out there) sometimes dramatically. (After NY close of the day /Weekends ) You have to implement all of these factors to your strategy. Now what is demo good for? Starting out! Learning how to set indicators, trades, stop losses and so on. I’d say 60 days max if you can’t donate much time. Even less than 60 days if you have more free time but then after that it’s time to get your feet wet. One other good thing about demo accounts is that it allows you to practice fundamentally different trading ideas out before trying them out on your actual account. An example would be a scalper trying a new position strategy he learned in demo to set some long term positions next year. I enjoy trading because it’s a discipline on your anxiety. When you deposit your first amount, any amount that's more than a new video game or dvd collection, your brain is going to fire off “Hey you bought something new that can make money let’s test it out! It could be making you money” You have to calm this voice first. IF you even can. This voice makes you check the charts 3x more than you did in demo and caused at least me to trade just so the money’s not going to waste. I lost 40% of my account the first week. I would’ve called myself mentally stable before this too. But that voice broke me and you have to confront it because it’s the impatience in all of us and causes you to force your view of the markets to fit your system. Demo is a great tool but shouldnt be held on longer than it’s purpose.
Immersion This is going to be a little shorter than my last topic because this is more something everyone has to find and listen to. Don’t just study the same website or forum for forex everyday. Try to get a wide view of the financial markets as a whole and various media input. Subscribe to a couple good youtube channels maybe a visual representation of what you’ve been learning could help solidify it. Maybe a podcasts personality makes your brain react differently to topics where a bland textbook reading didnt excite you the same. Watch a documentary on trading one week and hell maybe even Wolf of Wall Street another week, whatever it is that gets your whole body involved in the feeling of trading so 1) you don’t get burned out on the topic and 2) you find more ways to connect with the information you find. Whether emotional or visually. Here are two recommendations of channels that help me break the norm of my study routine:
“Two Blokes Trading” Podcast I discovered these guys a while back in a comment thread. I would recommend this podcast to beginners because you can start from the very beginning of their series and learn with them. They’re young, enthusiastic and open to exploring alot of areas to trading and different philosophies. So sometimes you can find gems in subjects you didn’t expect to encounter. They also bring in advisors and brokerage managers to feature on their subjects. And it’s not all forex focused. Check them out: http://twoblokestrading.com/podcast-episodes/
Barry Burns “Top Dog Trading” Barry Burns I like because you have him walking you through the charts on youtube. One of the few videos I watched on Price action were by him where the lightbulb went off. He offers a great free resource and sometimes I even feel guilty getting it on youtube for free before sharing it because it feels like the things he touches on and how he explains them, even paid classes probably couldn’t get right. He has so many videos on different markets and how to read them just apply them to the type of trader you are. https://www.youtube.com/channel/UCcjyImdSWDTCGCa7G24faIQ
Routine ( final topic on this post) So every week I try to keep a basic routine of forex and ways to practice. I try to wake up early as I’m on the Pacific Coast so I get up 2 hours early before I have to head to work. 20-30 mins of this time I do something related to forex education. The rest of the time I gather my foundation for the week and arrange goals / meditate/ journal. I’ll look at the charts, when I still had Babypips to finish I’d set a time and study through what I could of the course through that time. Now that I’m finished I’ll either check this sub, watch a video/podcast or try to read something related fundamentally to trading or finance. (I’d like to get some more book ideas about trading and it’s psychology) So that’s one habit. You’ve got to be able to at least schedule 20-45 minutes a day to consistent study + practice time to acquire new skills. 20 minutes uninterrupted is enough. Wake up early if you have to. Then throughout the day you’ll find time to reflect or research more and soon the time will start to add up. This also works on the other extreme too. If you have alot of free time I’d say starting out 1 hour to 2 hours max is what you should dedicate to studying. Forex is a very mentally fatiguing process skill. You’ve got to let your brain recharge (need those MP potions it seems) the whole currency system is heavy and complex enough that starting from scratch you couldn’t learn everything in 24 hours straight. I’d say even a week straight wouldn’t work. It takes time and a habitual familiarity. It’s not dissimilar to learning a language. Where concepts become stacked on a foundation of understanding to be acted upon through your day to day. Even if you can name all the working parts, experience build with how much time you think in that language per day. There’s a reason I chose the word “Immersion” for my second topic. Moving along. Another part of my routine is backtesting 40-50 trades a week of my strongest system. This equates to a little under 10 trades a day. I completely journal and track profits like they were live. Some suggest using a simulator, while that is a great practice for timing entries, I’ve found just using the Metatrader 4 Desktop and using the F12 key to progress forward one tick at a time has been sufficient for my backtesting needs. Backtesting gives you an opportunity to practice way more trades in a week than live session will be able to provide. I’m using M15 - H1 intraday strategies and maybe pull off 5-6 trades a week. BUT I practice 10x that amount per week. Soon you’ll find your live performance is really only a display of how your last week backtesting went. It’s like football practice for the gameday. Now which system I test varies, like I said I’ll try my strongest, but that changes. Just grab any system you think you can pull off and backtest it. Babypips gave me my first few, then I created some ridiculous ones, but over time your experience of a system and how to get them to work for you grows by running test trades. Systems I’ve found and backtested that are online are: the “So Easy It’s Ridiculous” system and the Cowabunga System, both found on babypips and a simple google search. Easy. I know, and really a system is just supposed to make having trading decisions easier for you. But your participation and exit are equally important. Can you follow easy rules you or others make? No questions asked?
So that concludes my post. I hope in the future when I’ve backtested 1,000 trades I can post some of my personal systems I’ve followed, right now they feel to amateur to even share. I am the humble fool, so any ideas on my style or feedback on where I should head are greatly appreciated. I’m open to questions and dialogue so feel free to send a PM or comment. Hearing from other traders is the reason I even started this account to post and interact. This post and future ones I have planned are kind of a new element I wanted to try of journaling that allows me some social accountability and feedback from a community rather than all my entries being hoarded in my notebooks, so my apologies if it’s more wordy than usual on here. Thanks everyone and have fun!
-AP
TL:DR Just browse over the bold sections
submitted by AzathothsPips to Forex [link] [comments]

Beginners start here

Hey everyone. A while back I made the decision to moderate this subreddit because I was once in your shoes. I honestly did not know where to begin. I would type in “daytrading” in google and come up with so many companies trying to sell me the dream. “Make $$$ while you sleep!” “Look at how much I made today!!” etc. I wanted to make this post to first give new people a place where to start and to even offer some resources that can get you started in the right direction. If I have anything else to add I will add it here.
  1. Open up a papertrading account with Think or Swim. It is free and you can get live data just by requesting it from support. All you have to do is ask them to add live data to your papertrading account. Do not pay monthly for any papertrading account. There are a lot of free videos out there that can help you get started with Think or Swim. The program looks complicated at first but it is very powerful. I spent a few days with the program and at the end of the week I was fairly comfortable with understanding where everything was. I have never had a 60-day limit with my papertrading account by the way. https://www.thinkorswim.com/t/pm-registration.html Start here and start taking trades! It is all fake money and will give you some insight into how the program works as well as how the markets move.
One other tip for setting up your papertrading account is to only set it up with a reasonable amount of money. I know a lot of papertrading accounts give you 100k right off the bat but realistically, how many of us are going to have that much money to start out with? Set it to something more reasonable like 10-20k if you are trading forex (or even less if all you have is 1-5k to trade with) or 25k+ if you are going to daytrade stocks only because the regulations require you to have at least 25k in your account at all times to daytrade (In this case, I would probably give yourself 30k just to be safe).
If you are looking for a stock screener, ThinkorSwim has a pretty good one. A personal favorite of mine is www.FINVIZ.com which has an awesome screener for finding different chart patterns and conditions (such as prices crossing above 20 bar EMA, trending up, etc)
Think or Swim has stocks, forex, futures, and options. Options are an entirely different beast all together but stocks, forex, and futures are all "yes-no" type of trading while options give you a little more leeway with your mistakes. If you are interested in learning about options, message me and I can help guide you with the right direction and best resources I used to learn options.
EDIT: Due to the amount of PM's I was getting, I have decided to post the options course I started with here https://www.udemy.com/learn-options-trading-courses/ You shouldn't pay more than 10 bucks for it as Udemy does a ton of sales throughout the year. You can also just do a "Udemy coupon" search on google and see what you pull up. Its about 10 hours worth of content and in my opinion it is worth every penny if you are wanting to learn more about options. There are a ton of other great classes on Udemy as well for learning just about anything. Just make sure to read the reviews!
Stocks is kind of the well known market for new comers but I would argue that Forex can also just as easily be traded by a newcomer. Also the benefit of trading Forex is that there is no commission off the bat. Most brokers will charge what is called a spread of some number of pips that you are essentially paying back.
Futures trade in ticks and each tick nets you a gain of some amount or a loss of some amount so I do not suggest any new person to jump into futures until you understand the way markets work. Futures charge commission on each contract you buy or sell. It can be sort of related to Forex since a tick and a pip are essentially the same.
The huge benefit to trading Futures and Forex is that there is NO pattern day trading rule. This means you can buy and sell as many times as you want without being flagged for not having 25k in your account.
  1. Tradimo is a great resource for getting your feet wet with technical analysis. It is free and shows you the ropes with how you can start looking at prices and charts: https://learn.tradimo.com/courses
  2. If there is ever a company you want to pay to help you learn, please do your research first. Type in the company’s name along with “review” at the end of your search and make your educated decision off of that. A lot of these companies have amazing advertising but will never teach you the right way to trade. A lot of them are scams too. I read that there was one trading system which the guy had the secrets of the “code of trading” and only he knew the code but would sell it to you for hundreds of dollars. So many people come into trading with high expectations that if I just pay this company to teach me, I can be like them when in reality that may never happen. Always look at their testimonials with a grain of salt. Read the reviews just like you would on amazon for buying a product. I also like to type in the company's name and add "scam" at the end to see if I get any hits on that. Read the good reviews but also the bad to understand the bigger picture here. Very few will actually teach you how to trade. Also, Reddit is a great place to read up on things like this too. Just add "Reddit" at the end of your search and read up on other users reviews.
Investimonials is also a good place to use as well (but do not use it as your only review source!!! Fake reviews are everywhere) http://www.investimonials.com So before you drop that 1-2k on a course, make sure you do your homework. Don't be fooled by smooth advertising.
  1. A high probability indicator or a holy grail strategy is not out there. If it was, everyone would be using it and making money. And if there does happen to be one, do you really think anyone will want to share it? The only way to get good at trading is to be able to read the charts and read where prices are going. This is through support and resistance and understanding channels. I cannot recommend Mack’s price action YouTube channel enough. https://www.youtube.com/usePATsTrading I am a firm believer that price action is the basis for understanding price movement. Reading an indicator may help but you should not rely on solely indicators to guide you with trading as they may give you a signal to buy when you are at a major resistance level or sell when you are at a major support, both of which could burn you.
  2. My only other advice is to look into markets that let you maximize profits. For some, it is not possible to buy 1000 shares of Apple. While trading low priced stocks lets you buy hundreds and maybe even thousands of shares at once, those stocks are too unpredictable because they can be influenced by individuals who do what is called a "pump and dump" schemes. Plus they can be difficult to read as far as what they are going to be doing next (going up or going down). My recommendation (and it is only my recommendation so only use this as guidance to make your own decision) would be to look into trading forex if you do not have a lot to start out with as some brokers (like FXCM) allow you to buy "micro" lots which let you invest as little as 100 dollars in some cases and have a much better chance of working in your favor due to the amount of people trading the same instrument. Note: There are some discussions about forex market makers adjusting the markets so you get stopped out prematurely. While I have not experienced this, it could theoretically happen? So if you do decide to trade Forex make sure you pick your broker carefully and again read the reviews!
EDIT: I have read that what I mentioned above about Forex is outdated and the brokers are under stricter regulations. Do your own investigation and do not let what I said steer you away from trading forex if you really want to. The big Forex brokers you are able to open an account with in the US are FXCM, Oanda, and Forex.com. You have a lot more options if you are in another country.
EDIT 2: Well it looks like FXCM may get banned from having clients in the US. Apparently they took some trades against their clients to profit on their end and have been using clients accounts to fund their extra expenses. Tread on your own risk.
  1. Above all, do not invest money that you are not willing to lose. I cannot emphasize this enough. Work on a simulator until you feel that your strategy works. This means putting in the time to sit down and analyze every trade you took which worked as well as the ones that didn't work. You need to go back over your mistakes and review why your trade did not work the way you thought it would. Was it because you bought at a high and sold at a low? Was it because you bought at a major resistance level thinking the stock would still go up? Was it because you were impulsive and entered in too early? Was it because you were too slow and entered in too late? This is the most important part about learning how to trade. Putting in the time and work to analyze what you did right and what you did wrong. You will never get better if you do not do this.
  2. Consider subscribing to a free daily financial newsletter such as The Morning Brew. It’s a free subscription that is delivered Monday through Friday to your email before the markets open around 5-6 am central time. It summarizes the big financial topics of the morning in short easy to read sections that you can read over a cup of brew.
I wouldn’t say this is essential for daytrading but it’s nice to read if you are wanting to stay up to date on the financial markets as they will write about companies and stocks to look out for. It’s also not spammy or filled with ads though there are one or two that are listed as “sponsored”. They don’t typically put out a weekend read but instead send it M-F.
https://www.morningbrew.com/?kid=08944ba0
I want to make this subreddit not only as a resource for newcomers but also for those who wish to improve their skills with learning how to day trade. I do not want this subreddit to become spam and companies trying to sell dreams. We all need to keep a realistic vision on what learning the market entails because this is a journey. No one becomes a doctor in a day or even a week and you should expect the same becoming a trader. Making consistent money in the markets can be very challenging and most wont ever make it, but it can be very satisfying once things start to click and you can live a very different life if this ever happens.
submitted by KingPrudien to Daytrading [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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