Trading Charts: Live Forex Charts

Your Pre Market Brief for 07/16/2020

Pre Market Brief for Thursday July 16th 2020

You can subscribe to the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily 4:00 AM Pre Market Brief in this sub.
Updated as of 4:45 AM EST
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Stock Futures:
Wednesday 07/15/2020 News and Markets Recap:
Thursday July 16th 2020 Economic Calendar (All times are in EST)
(JOBLESS CLAIMS TODAY)
News Heading into Thursday July 16th 2020:
NOTE: I USUALLY (TRY TO) POST MANY OF THE MOST PROMISING, DRAMATIC, OR BAD NEWS OVERNIGHT STORIES THAT ARE LIKELY IMPORTANT TO THE MEMBERS OF THIS SUB AT THE TOP OF THIS LIST. PLEASE DO NOT YOLO THE VARIOUS TICKERS WITHOUT DOING RESEARCH! THE TIME STAMPS ON THESE MAY BE LATER THAN OTHERS ON THE WEB.
Upcoming Earnings:
Commodities:
COVID-19 Stats and News:
Macro Considerations:
Most Recent SEC Filings
Other
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Morning Research and Trading Prep Tool Kit
Other Useful Resources:
The Ultimate Quick Resource For the Amateur Trader.
Subscribe to This Brief and the daily 4:00 AM Pre Market Brief on The Twitter Link Here . Alerts in the tweets will direct you to the daily brief in this sub
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MCS | MCS, Recognized by Famous Media in the World

MCS | MCS, Recognized by Famous Media in the World

https://preview.redd.it/iohxa47wwzs51.jpg?width=1024&format=pjpg&auto=webp&s=3f8ab490479c77d86e5aeabbe16f7ea4a399b1ee
#Be_a_Trader!
Greetings from MCS, the derivatives trading platform where traders ALWAYS come first.

Following the last post on the credible data providers that approved MCS in the cryptocurrency market, this post will look at what global cryptocurrency specialized media channels recognized MCS.

1. Bitcoin.com


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Bitcoin.com is a comprehensive blockchain company founded by a famous blockchain investor and entrepreneur Roger Ver. Bitcoin.com News, a subsidiary of Bitcoin.com, is one of the largest cryptocurrency media companies in the cryptocurrency industry and reports all news on the blockchain and cryptocurrency. .
Meet MCS on Bitcoin.com: https://news.bitcoin.com/mcs-first-exchange-to-list-trons-sun-and-klaytns-klay-futures-contracts/

2. Coin Readers


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Coin Readers is a blockchain specialized media that analyzes news on various technologies and trends that lead the 4th Industrial Revolution ecosystem through blockchain, and delivers them to the public quickly and accurately.
Meet MCS on Coin Readers: http://coinreaders.com/8712

3. Bitcoin Insider


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Bitcoin Insider is one of the largest cryptocurrency media that provides cryptocurrency market data and reports related news.
Meet MCS on Bitcoin Insider: https://www.bitcoininsider.org/article/94355/mcs-first-exchange-list-trons-sun-and-klaytns-klay-futures-contracts

4. Yahoo Finance


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Yahoo Finance is a media outlet that is part of the US Internet search engine, Yahoo. Yahoo Finance provides global financial quotes, news, and data, and is also known for its pro-blockchain attitude.
Meet MCS on Yahoo Finance: https://finance.yahoo.com/news/mcs-global-cryptocurrency-perpetual-contracts-110000829.html?guccounter=1

5. Visionary Financial


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Visionary Financial is a global media founded in 2018. It provides the latest news around the world and is known for providing influential information with a focus on blockchain industry analysis.
Meet MCS on Visionary Financial: https://visionary-finance.com/news/MCS-A-Crypto-Perpetual-Contracts-Trading-Platform-Officially-Launches-Operations/

6. Finanzen.net


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Finanzen.net is a media channel that provides global financial news, and data such as real-time financial asset prices and cryptocurrency prices to individual traders. It also provides exchange rates and Forex charts.
Meet MCS on Finanzen.net: https://www.finanzen.net/nachricht/aktien/mcs-a-global-cryptocurrency-perpetual-contracts-trading-platform-is-now-officially-launched-as-of-june-15-8976734

7. Digital Journal


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Digital Journal is a global digital media network with contributors from all over the world. Global news is reported, and news articles of Digital Journals are posted on various platforms including its website, Facebook, and Twitter.
Meet MCS on Digital Journal: http://www.digitaljournal.com/p4713330
We have looked at the trusted global cryptocurrency media that introduced MCS. The last post and this post clearly show that the MCS Cryptocurrency Derivatives Trading Platform, a new exchange that has only been launched for only 4 months, has already been recognized for its reliability and technology by numerous reputable institutions.

Traders ALWAYS come first on MCS.
Thank you.

MCS Website: https://mycoinstory.com/
MCS Official Twitter (EN): https://twitter.com/mycoinstory_mcs
MCS Official Facebook: https://www.facebook.com/MyCoinStory.official
MCS Telegram Chat (EN): https://t.me/mycoinstory_EN
submitted by MyCoinStory to MyCoinStory [link] [comments]

Binary Options Review; Best Binary Options Brokers

Binary Options Review; Best Binary Options Brokers

Binary Options Review; Best Binary Options Brokers
We have compared the best regulated binary options brokers and platforms in May 2020 and created this top list. Every binary options company here has been personally reviewed by us to help you find the best binary options platform for both beginners and experts. The broker comparison list below shows which binary trading sites came out on top based on different criteria.
You can put different trading signals into consideration such as using payout (maximum returns), minimum deposit, bonus offers, or if the operator is regulated or not. You can also read full reviews of each broker, helping you make the best choice. This review is to ensure traders don't lose money in their trading account.
How to Compare Brokers and Platforms
In order to trade binary options, you need to engage the services of a binary options broker that accepts clients from your country e.g. check US trade requirements if you are in the United States. Here at bitcoinbinaryoptionsreview.com, we have provided all the best comparison factors that will help you select which trading broker to open an account with. We have also looked at our most popular or frequently asked questions, and have noted that these are important factors when traders are comparing different brokers:
  1. What is the Minimum Deposit? (These range from $5 or $10 up to $250)
  2. Are they regulated or licensed, and with which regulator?
  3. Can I open a Demo Account?
  4. Is there a signals service, and is it free?
  5. Can I trade on my mobile phone and is there a mobile app?
  6. Is there a Bonus available for new trader accounts? What are the Terms and
  7. conditions?
  8. Who has the best binary trading platform? Do you need high detail charts with technical analysis indicators?
  9. Which broker has the best asset lists? Do they offer forex, cryptocurrency, commodities, indices, and stocks – and how many of each?
  10. Which broker has the largest range of expiry times (30 seconds, 60 seconds, end of the day, long term, etc?)
  11. How much is the minimum trade size or amount?
  12. What types of options are available? (Touch, Ladder, Boundary, Pairs, etc)
  13. Additional Tools – Like Early closure or Metatrader 4 (Mt4) plugin or integration
  14. Do they operate a Robot or offer automated trading software?
  15. What is Customer Service like? Do they offer telephone, email and live chat customer support – and in which countries? Do they list direct contact details?
  16. Who has the best payouts or maximum returns? Check the markets you will trade.
The Regulated Binary Brokers
Regulation and licensing is a key factor when judging the best broker. Unregulated brokers are not always scams, or untrustworthy, but it does mean a trader must do more ‘due diligence’ before trading with them. A regulated broker is the safest option.
Regulators - Leading regulatory bodies include:
  • CySec – The Cyprus Securities and Exchange Commission (Cyprus and the EU)
  • FCA – Financial Conduct Authority (UK)
  • CFTC – Commodity Futures Trading Commission (US)
  • FSB – Financial Services Board (South Africa)
  • ASIC – Australia Securities and Investment Commission
There are other regulators in addition to the above, and in some cases, brokers will be regulated by more than one organization. This is becoming more common in Europe where binary options are coming under increased scrutiny. Reputable, premier brands will have regulation of some sort.
Regulation is there to protect traders, to ensure their money is correctly held and to give them a path to take in the event of a dispute. It should therefore be an important consideration when choosing a trading partner.
Bonuses - Both sign up bonuses and demo accounts are used to attract new clients. Bonuses are often a deposit match, a one-off payment, or risk-free trade. Whatever the form of a bonus, there are terms and conditions that need to be read.
It is worth taking the time to understand those terms before signing up or clicking accept on a bonus offer. If the terms are not to your liking then the bonus loses any attraction and that broker may not be the best choice. Some bonus terms tie in your initial deposit too. It is worth reading T&Cs before agreeing to any bonus, and worth noting that many brokers will give you the option to ‘opt-out’ of taking a bonus.
Using a bonus effectively is harder than it sounds. If considering taking up one of these offers, think about whether, and how, it might affect your trading. One common issue is that turnover requirements within the terms, often cause traders to ‘over-trade’. If the bonus does not suit you, turn it down.
How to Find the Right Broker
But how do you find a good broker? Well, that’s where BitcoinBinaryOptionsReview.com comes in. We assess and evaluate binary options brokers so that traders know exactly what to expect when signing up with them. Our financial experts have more than 20 years of experience in the financial business and have reviewed dozens of brokers.
Being former traders ourselves, we know precisely what you need. That’s why we’ll do our best to provide our readers with the most accurate information. We are one of the leading websites in this area of expertise, with very detailed and thorough analyses of every broker we encounter. You will notice that each aspect of any broker’s offer has a separate article about it, which just goes to show you how seriously we approach each company. This website is your best source of information about binary options brokers and one of your best tools in determining which one of them you want as your link to the binary options market.
Why Use a Binary Options Trading Review?
So, why is all this relevant? As you may already know, it is difficult to fully control things that take place online. There are people who only pose as binary options brokers in order to scam you and disappear with your money. True, most of the brokers we encounter turn out to be legit, but why take unnecessary risks?
Just let us do our job and then check out the results before making any major decisions. All our investigations regarding brokers’ reliability can be seen if you click on our Scam Tab, so give it a go and see how we operate. More detailed scam reports than these are simply impossible to find. However, the most important part of this website can be found if you go to our Brokers Tab.
There you can find extensive analyses of numerous binary options brokers irrespective of your trading strategy. Each company is represented with an all-encompassing review and several other articles dealing with various aspects of their offer. A list containing the very best choices will appear on your screen as you enter our website whose intuitive design will allow you to access all the most important information in real-time.
We will explain minimum deposits, money withdrawals, bonuses, trading platforms, and many more topics down to the smallest detail. Rest assured, this amount of high-quality content dedicated exclusively to trading cannot be found anywhere else. Therefore, visiting us before making any important decisions regarding this type of trading is the best thing to do.
CONCLUSION: Stay ahead of the market, and recover from all kinds of binary options trading loss, including market losses in bitcoin, cryptocurrency, and forex markets too. Send your request via email to - [email protected]
submitted by Babyelijah to u/Babyelijah [link] [comments]

Is Change and Change% wrong on TradingView.com?

Let's take for example Dow Jones \@Apr 16, 1:22PM EDT, quoted 23,324 on both sites:
Why?
Same exact issue with all the other indexes and all data providers (i.e. Forex.com instead of OANDA, etc...).
submitted by LF_78 to Daytrading [link] [comments]

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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submitted by luis3445 to M1Finance [link] [comments]

Mario speaks: Congress should listen up

Mario speaks: Congress should listen up submitted by AngelaMotorman to politics [link] [comments]

Recommended Free Charting Software, paper trading?

So I've been trying out several charting software such as ninjatrader, thinkorswim, traderview, yahoo finance, TC2000.
Each has their benefits, but what's unfortunate is the delayed data. The delay is about 15 minutes. Also if you're papertrading on thinkorswim it doesn't execute orders based on the displayed 15 minute delayed data, instead it's based on real time data. It's difficult to take a position without defaulting to market price which is very different from what you think it is.
What's also weird is how the price on robinhood is closer to realtime than the various charting software I'm using.I trade on robinhood btw.
My question is there free charting that has better live data service?Are they all behind a pay wall? If so what do you recommend?Is live data service not available on stocks?(ex: thinkorswim has live data for futures/forex, but not stocks. Is that because I don't have any real money in it?)
Update: Thinkorswim you just need to enable live data by going into your account settings on the website and sign up for real Time Nasdaq level II quotes"
submitted by LooseArrowBoy to Daytrading [link] [comments]

Cryptocurrency markets challenges and solutions

This has been bugging me for a while so thank you for endulging my rambling. TL;DR at the end.
I'd like for everyone to just think about what we're trying to do here. Don't forget what the ultimate goal is. Anyone remember? Is it to make a profit? No, that's a secondary goal. The primary goal is to develop widespread adoption of cryptocurrency as an alternative to fiat currency. Anyone remember this lofty goal or did we all forget this while chasing 30% daily price swings. We're trying to complete with USD, GBP, EUR, and CNY, remember?
This is EUR vs. USD. You'll note that this is all data (or click on "All" button on the bottom), going back to 1993 through today. What do you notice? You'll notice an open of $1.22 to €1. After a few months, it fell about 10%, then rose up 24% over the next two years only to drop about 40% over seven years and then almost doubling over eight years only to drop about a third in the last ten years to where it is today - almost where we were 25 years ago (approximately).
This is BTC vs. USD. You'll note that this is all data going back to 2011. During the last seven years it has... oh my God are you kidding me?! This is LTC vs. USD.
Let's not forget what we're talking about. We're talking about currency. For currency to be used, it needs to be relatively stable. Now compare the charts above. Let's say we created a new country called Cryptonia. Which of these would you like to use as currency? EUR? BTC? LTC? My money is on EUR. Why? Because it's relatively stable.
Now let's fast forward a bit and pretend that Cryptonia has adopted Litecoin as its official currency. Our largest trading partner is the US. How would transactions between merchants work in this scenario, taking into account the last few days. I'll use the following prices:
Let's run through a transaction:
1/16
1/17
1/18:
Conclusion:
This works both ways as far as you can do the math in USD vs. LTC to see how this screws over at least one party due to the wild price swings. Note: fiat currency does the same thing with one key difference explained later on.
Don't forget that this is all within 3 days. Now sure, obviously the last few days isn't something that happens every day ... but doesn't it? Look at the examples of EUR:USD. Any sharp spikes or drops have taken months to execute - enough time for relative prices to adjust. Look at cryptocurrency prices - the swings (from a percentage basis) are wild on a regular basis. In short, cryptocurrency isn't acting like currency. It's acting like an asset and not just an asset but a highly speculative one. The IRS is right to treat it like an asset because if it looks like an asset, and it acts like an asset, then it is an asset.
Where do I believe this should go? I believe cryptocurrency market needs to mature. I believe these drastic price swings need to stop. When will this happen? I believe it'll happen when the cryptocurrency market reaches a happy plateau where the market cap has reached a point where the buyers and sellers mostly eliminate one another and the relatively large price swings - from a percent point of view - are as boring as Mr. Stein. EUR vs. USD went up 0.03% today. 0.03%. In LTC-speek, that's going up $0.58 for the whole day. Oh and it was a wild ride too. Why it went all the way down to $1.21697 and all the way up to 1.22645. I know, I know - tie me down because I'm out of control.
Is this the only problem? No. Cryptocurrency has another problem and that's the sheer number of types of coins available. How many coins are available? 1,448. Nearly 1,500 coins all competing with each other for market share. We have Bitcoin at about $200b all the way to something like Digital Money Bits (DMB, an appropriate acronym). What is it? Who cares, it's worth $3,832. Not $3.832 billion or million but literally $3,832 with a volume of $35,509 today and hey, just this June, its market cap reached an all time high of $62,000! You missed the recent run-up though and boy did you miss it. On January 1st, its market cap was worth almost five hundred dollars! Yep, about two Litecoins! But look at it now - it went from $500 market cap to $3,832 in less than three weeks. Clearly this one is shooting to the moon.
This is a problem. Decentralization has an unfortunate side effect of - duh - nobody being in charge. There's no real clearance for these and some people with a little bit of money can literally copy and paste a whitepaper and have this chart and have a serious valuation of almost $17b from $140 million in literally 30 days. This doesn't act like a currency either. This is a problem.
Don't forget, this isn't like the dot-com era. We're not launching IPO's and .com companies that have different ideas. Amazon isn't like Ebay, or Google, or Yahoo, or Facebook or anything else. They all have different ideas for different segments of the population. We are in the cryptocurrency market. The world today has 180 fiat currencies. Cryptocurrency market is approaching 1,500. We need to trim the fat and the outright forgeries. Market cap isn't enough to weed them out. There needs to be something, a stabilizing force, that should act as a clearinghouse for launch of new cryptocurrencies. The market has failed to destroy shitcoins. Heck, it rewarded them based on lies, paid endorsements, FOMO, and FUD for other coins. This doesn't help the cryptocurrency market. It helps a few people get really wealthy really quickly and you are left holding the bag, so to speak. Should coins only be allowed to be introduced when its network reaches a certain hash rate? Isn't that the only objective point of value we have - number of mathematical calculations and power used in those calculations? You can't fake that.
What's another problem with cryptocurrency? It's what it represents. The governments don't see crypto as a positive force. After all, it directly competes with their own currencies. Can the governments shut this down? No - this is the Internet, after all. But they can kill it in other ways. I don't know how many people here remember but my first brush with Bitcoin was the ransomware viruses which wanted $300 in Bitcoin to unlock files. Bitcoin was seen as something tied to illegal activities. If governments - and let's say the US, South Korea, and China in particular - ban Bitcoin and cryptocurrencies in particular then what they'll really do is make transactions illegal. What's the on-ramp and off-ramp to/from crypto? The banks which are already regulated. Now let's say you're in the US, your bank account is tied to your Coinbase account and you have some cryptocurrency. US issues a regulation which states that trading cryptocurrency is now illegal. It issues orders to all US banks to shut down related accounts. The following things will happen: cryptocurrency prices will tank and everyone is going to scramble taking money out which would likely overload the system, causing massive delays.
But let's say you're left holding your crypto and it's been a month. What can you do with it? Not much. Crypto isn't accepted in enough places yet. You can continue holding, hoping the price and ability to extract will come back one day. After all, you can't get your money back. Your bank closed your related account. You can open another one at any new bank but they'll either ban you from connecting your account to Coinbase or they'll confiscate any money coming from Coinbase and charge you with a crime. Now have the governments banned crypto? No - you can use and trade crypto all you want since it can't be traced. But have they effectively? Yes. Ironically, it's the banks that'll save us and I think that's why Ripple blew up. After all, if you have a cryptocurrency that sucks the bank's [censored] and plays along, you can get:
I think that's why something like Ripple blew up - because it doesn't care much about regular people, it wants to be the speedy highway for bank<->bank transfers.
What's a solution to this problem? More regulation and playing nice with the governments. Crypto isn't going mainstream if you shut out all governments. It needs to be connected. This means working with regulators to make sure that KYC laws are followed, that people report and pay money on any gains, and that - to a point - there's some supervision and tracing of transactions in a way that if you're robbed, you can get your money back. This will create a new job field, which - considering our current growth - will create a whole slew of high-paying white-collar jobs. Considering the high-level of transactions, banks would start this, followed by private companies, governments, and law-enforcement agencies. A good way to start this is what CBOE and CME have started to do - legitimize the currency. This is a foot in the door to the real holy grail: FOREX markets. When it's legitimized and not in serious competition with governments, it'll be embraced and its availability - along with instant transfers and low fees - will be widely supported by serious platforms.
Until these problems are fixed, the cryptocurrency market will remain what it is today: a speculative asset and not a currency. During the time it's taken me to write this post, Litecoin has gone up 2.6%. Euro remains at 0.03% gain.
Thanks for reading!
TL;DR
submitted by SsurebreC to LitecoinTraders [link] [comments]

How can this be?

So I just saw someone else post something titled "Crush my dreams". Which I think is a great idea. I for one don't want to waste my time learning something that I can't ever be good at. I'm reading along and everyone is giving it to em. It seems the general consensus is "25% per year would be something only really good traders could achieve." Basically giving a very grim outlook to currency exchange. Especially something that is touted as something you can bring little money to and with hard work make a living out of. 25% on an initial $2000 investment is just $500. Which is definitely a lot more than someone would get putting their money in the bank but not really what you'd call making a living.
I recently found this subreddit and really enjoy it. I've learned a lot from the 2-3 weeks I've been stalking it. I heard about Forex back in December from my mother in law. She was talk about it from a co worker. Since December I've been trying to immerse myself in this concept of forex. Scouring tutorials, books, videos, etc. I learn something new every day and I feel like I gain a new piece to the puzzle all the time, Still not quite ready to dump my own real money into it yet but I feel close.
So the mother in laws coworker, who informed us about forex started back in August of 2014. That's when she invested real money. She trades mostly from her cell phone. No technical analysis from what I can tell. She's a very nice lady. Wants to help people so she offered to teach me what she knows. I cooked her up a dish as thanks and headed over. She told me how she found out about forex. She told me how she spent like $250 on a class that she felt ripped off because she lost part of her initial investment because the "teacher" didn't tell her about actually closing her trades.
This is going to be a brief and outlined description of what she "taught" me the day I went to her place. Keep in mind I've been studying on my own for almost 6 months.
-Candle wick is on the bottom? It's going to go up so buy. -Candle wick is on the top? It's going to go down so sell. -Trade USD/CAD -Trade from 8AM EST - 12PM EST -Don't trade from 12-1 (Lunch ish on the stock market?) -Don't trade on bank holidays -Don't trade if you're not going to watch it (she's basically scalping and I don't think she knows much about stop limits? idk) -Go to dailyfx.com and read the news. -Go to yahoo news and read the financial section. (Edit: This is an oversimplified explanation of what she taught. These were the main points)
That was essentially it. Which don't get me wrong, there's some good info in there, but not exactly the education I expected to get from a successful trader. I asked her a couple questions and had used the terms support and resistance and she was like "I don't know much about the terminology but that's why I think you will do better than me because you're smarter than me."
From what I can tell she just has some sort of instinct and can read the market really freaking well.
So to really raise some eyebrows: Her initial investment in August was around $500. She lost about half on some bad initial trades. She has, since then, grown her account to over $23,000. I shit you not. I saw her trading station with my own eyes. I asked her just to confirm that she had not added any extra money since her initial $500 and she said no. Which is something like a 10,000-11,000% return on investment right? Like 1000% increase per month on average.
She seems like a very genuine lady. She didn't charge me anything. She checks up on me regularly to see my progress. She says she just wants to help me and my wife get on our feet. She's very nice. I tried trading on the 1m and 5m charts and just found that the spreads were eating up my gains on the demo account. Not enough winning trades with enough pip change.
What are you guys thoughts? I know this is probably going to seem made up, but had I not looked at her account with my own eyes I'd be calling bullshit, which was the main reason I wanted to go over to her place and have her teach me. Just to see her account and see if she was full of it... But it was in fact a real account. It was ready to be withdrawn if she wanted to.
submitted by Wannabeforextrader to Forex [link] [comments]

Advice for a new trader - how to determine a good opportunity

Hello everyone. I'm writing this for a friend of mine who wants to start daytrading stocks. My experience is working as charting platform tech support for a forex dealing desk for 5 years but never really trading beyond demo accounts. This is just stuff I've gleaned from that job. All my links are from babypips.com because that's what I'm familiar with.
Please chime in if I screwed something up or if you have a comment, a favorite bookmark, or a book that you wish you had when you first started out.
His question:
How do you figure out what to buy and when to sell it?
My answer: Unless you understand your own reasons to make a trade, you're just guessing and the odds will not be in your favor. Keep emotion out of your decision making process or it's no better than a casino.
The three ways to identify a good market:

Technical indicators:

Indicators are lines drawn on your chart either directly on the price chart or tucked in a subgraph below the chart.
There are hundreds of technical indicators that you can learn, but the most common indicators are called Moving Averages, specifically the Simple Moving Average (SMA) and Exponential Moving Average (EMA) to identify trends. See the image below they have highlighted where the SMAs have crossed above and below eachother. Those would've been good times to buy or sell:
http://i.imgur.com/AhhG9PX.png

News/Sentiment

This means actively reading twitter and news and forums and getting a feel for how people feel about the market.
If you were interested in investing in Yahoo right now, you would probably find a hostile sentiment because of the terrible new CEO, their recent email hacks and password leaks, and just overall dissatisfaction with every product they offer (news, search, email, etc).
With Tesla's new Gigafactory officially pumping out batteries this week, they might be a good target to trade the news with as people finally start to buy and use their product en masse. But keep watching the news because prices will dip if folks start getting into accidents due to a defect.

Fundamental Analysis

Understanding things like interest rates, laws that affect the each market, where a company gets its supplies, and deeper events and circumstances that will drive the market. Cause and effect.
For example if more governors like Michigan Governor Snyder cut food stamps in half, more families would be buying Great Value than Kraft and Kellogg's. Or would they be buying more Kraft and Kellogg's but less produce? Someone out there knows because that's part of their strategy.
I would skim over everything at the bottom of this page: http://www.babypips.com/school
Edit:typos
submitted by dixie-rekt 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
Generated with BBoe's Subreddit Stats (Donate)
submitted by subreddit_stats to subreddit_stats [link] [comments]

Question about NightTrader

Ive had some discussions with Gritt, and other members and the consensus everyone was telling me was that NightTrader should appear in the UI like any "normal" exchange. Im interpreting this as charts, bid/ask, and some history stuff. The thing is, with microtrading i have to set some trading minimums and maybe have some techniques to avoid trolling. The exchange itself built on the markets will have latency (since its bitmessage) unless a server is used in the future. For bots to have access, i suppose there would need to be some basic API functionality too. At the most a basic API that can control Halo remotely. The only issue im having is an orderbook in NT wont have the speed normal exchanges have since the trades are live, you have to wait for comfirmations etc.
My question is, what needs to be in place so people actually use this? I'm hardcore, i use Halo to hire people even. So I'm wondering what "normal" traders expect. Obviously, a decentralized orderbook will not have any enforcement. Is a little bit of latency ok? Also, if people will accept deposits in Black or BTC, does there need to be two orderbooks?? Because that is something i find annoying. Maybe only allow BLK as the base for the contract to avoid confusion. Nobody wants to try and trade to be told "Sorry, they only use BlackHalo/BitHalo as the contract". Also, different parties may want to perform their trades with people who can take higher volume. I think there would need to minimums. For example, someone who sells 100 BTC or DOGE doesnt want someone to contract with them if they are only buying .001 BTC. So as the community what do you guys see as the most important things this exchange will need to be used by more than just the BLK community? I should end this with two more notes. The first is, I dont want to get a long list of features to add I'm extremely busy so I want to know what the community thinks is needed for people to realistically use it, not extra features that arent required for the exchange.
Also here is a screenshot of what I consider to be good charting. Can any pro traders tell me if this is sufficient? Its just a basic charting that analyzes forex by pulling yahoo data. Its written in python. I'm not sure if i will even have anything more than basic charts but its good to get an idea of what a quality chart looks like. http://i.imgur.com/xmi2moU.jpg
submitted by dzimbeck to blackcoin [link] [comments]

Google Trader Review 2015 - Is Google Trader SCAM Or LEGIT? Best Binary Options Trading System.. The Truth About Google Trader 2015 By Ben Williams Review

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[Graph] Krugman's "Bitcoin is not a stable store of value" debunked.

I decided to utilize historic values to examine Krugman's statement:
To be successful, money must be both a medium of exchange and a reasonably stable store of value. And it remains completely unclear why BitCoin should be a stable store of value.
No one will deny that Bitcoin is currently extremely volatile. This is not an examination of that point. This is focused purely on the question of whether, historically, Bitcoin has proven to be a good store of value. No one can predict the future, so the best we have is historical data.
This is particularly of interest to me, give the recent tumble in Bitcoin price, as well as recent reports of the third worst collapse of the dollar in the past decade.
Methodology
To examine the quality of Store of Value, I examined the historical prices of seven different assets. I envisioned a buyer of the asset purchasing it on a given day, and holding it for some length of time (X), ranging between one day and about 3.5 years (which is all the data we have for Bitcoin).
The measurement is this: if you choose a random day to buy the asset, and you buy it at the mid-point price that day, and hold it for X days, what is the probability that it will still have 100% of its value after X days. It seems like a reasonable assumption is that an asset that is a good store of value would perform well in this scenario, and retain 100% of its value a high percentage of the time.
The seven assets were:
  1. Bitcoin purchased on Bitstamp. Data provided by BitcoinCharts.
  2. Bitcoin purchased on Mt. Gox. Data provided by BitcoinCharts.
  3. Bitcoin Freely Exchangeable: For this measurement, I used Mt. Gox prices as mentioned above, until May 13, 2013 (the day before the US Government seized funds), and Bitstamp prices since then. This is an attempt to eliminate the odd pricing on Mt. Gox due to the withdrawal challenges.
  4. The Dow Jones FXCM Dollar Index, data provided by Google Finance. The data for this index was available going back to 4/18/2011. It's an index of the dollar, presumably comparing to other currencies. (This may be mislabeled, calling it a fund. Not sure.)
  5. Spider Gold Shares GLD, an ETF for Gold. Data provided by Yahoo Finance. This data goes back to 11/18/2004.
  6. Spider Gold Shares GLD, for the period that Bitcoin has been traded. Same data source as #5, but a subset of the data.
  7. The US Dollar (1914-2013), reflecting the US monthly inflation rates. This data was provided by usInflationCalculator.com.
In all cases, I used the average of the daily high and the daily low, when available. In the case of the Dollar (1914-2013), I used monthly inflation rates.
In all cases, I set the purchase date to one of the days that the asset was traded. In the case of the Dollar (1914-2013), I utilized the first of the month. And I set the ending valuation date as the next time the asset traded, after X days elapsed. In the case of the Dollar (1914-2013), this would be the first of some future month, after X days had passed.
Results
Here's the Graph.
The best performing asset was buying Bitcoins on Bitstamp. In all cases historically, if you held the asset for 274 days, the asset was still worth 100% of your original investment.
Mt. Gox and the Freely Exchangeable Bitcoin measurements were similar: After 622 days, 100% of the time, your original invested value was retained.
The Dollar fund (index, actually) underperformed all Bitcoin options, when measuring periods less than 243 days. But for periods of between 471 days and 1033 days, 100% of the time, the dollar fund retained its complete value. (No data for periods longer than 1033 days).
The Gold ETF underperformed Bitcoin, whether you looked at the period of Bitcoin being on the market, or the life of the ETF.
And, no surprise, the dollar as measured by inflation, came in dead last. In the past 100 years, it has only retained its value month-over-month about 15% of the time. And the longer you held it, generally, the worse off you were.
All data is available at the sources above, and the computations are available.
The graph of the results is licensed for you to use widely with attribution.
I hope this helps when you are talking to the Krugmans of the world.
(Edit: it's -> its)
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How to Mark Up a Forex Chart - for Beginners - YouTube

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