10 Best High-Frequency Trading (HFT) Brokers of 2020

High Frequency Trading (HFT)

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How To Choose An Automated Trading Platform?

How To Choose An Automated Trading Platform?
When going for an automated trading platform it is very important to look for some important features before you decide on the automated trading platform you want to trade on. Different automated trading platforms offer different services which have their own pros and cons and might suit certain strategies and better than the others.
We have discussed important features that you should consider while choosing an algorithmic trading platform.

Select The Right Automated Trading Platform


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Backtesting

A backtest is a historical simulation of an algorithmic trading strategy to see how it would’ve performed on the data in the past. Backtest results usually show the strategy’s performance in terms of profits and losses and some popular performance statistics like Sharpe Ratio or Information ratio which help to quantify the strategy’s return on risk. Hence a good backtesting software can be a great plus for an automated trading platform. Backtests can be divided into two categories ‘Research Backtesters’ and ‘Event-Driven Backtesting’.

Programming Languages

Choice of programming language is very important while deciding which platform to use for automating your trading strategy. Different languages have different pros and cons. Most commonly used programming languages used for algorithmic trading are C++, C#, Java, R, Python, and MATLAB. You can refer to one of our recent posts on top backtesting platforms where we’ve discussed popular programming languages.

Data

Different automated trading platforms provide access to/support trading/backtesting of certain securities only; some provide specific access to data feeds like Bloomberg and Thomson/Reuters. For instance, there are platforms dedicated to Forex trading or Equities trading only that too in specific markets. You need to make sure what the automated trading platform offers and then decide based on your needs. The frequency of data that you would need should also be taken into account. Some strategies would require daily EOD data while some other strategies might require intraday trading data.

Web-Based Platform

Some automated trading platforms also provide the web-based platform for online trading and backtesting which makes it easy and convenient to access your trading platform anywhere. The web-based platform may have less number of features compared to the desktop trading platform.

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Complexity

Different automated stock trading platforms vary in ease of use. Some platforms may require actual programming expertise while others may not. Most platforms provide a demo version which can help you decide what fits your comfort level. The complexity of platforms can be different for different assets traded, and one should check the different tools & features available to analyze the specific asset class.

Number of Strategies Allowed

Sometimes there might be restrictions on the number of long or short strategies loaded on a particular account and you might need extra accounts for more strategies. You should also check if you have enough memory on your computer for multiple accounts if required as it can be memory intensive. Some platforms also offer their own trading strategies as add-ons which can be subscribed by paying a periodic or one-time fee.

Commissions/Costs

Trading commissions can impact your profits to a great extent. Carefully choose the plan which suits your trading requirements. Also, check if there are initial and/or monthly fees and what is offered against it to make sure you are only paying for services which you actually want.

Technical Support & Customer Service

Automated Trading platforms are expected to have an extremely high “up-time” and rarely go out of service. Before choosing the platform you should check the history of outages and if there have been any other issues in the past, how soon were those resolved, and how knowledgeable and helpful was the support team.
submitted by FmzQuant to CryptoCurrencyTrading [link] [comments]

How do I know which one is the best forex broker?

First - always start with the platform of choice and features/add-ons/EAs that you’ll be using. This should narrow down the number of brokerage agencies a bit. Once that’s clear - time to look at the broker. If you want to share your Forex Reviews then can take a look at https://www.forexprotect.com/
Regulated - Must be regulated with at least one big regulator. Always check with the regulator if that broker is indeed regulated or is just registered. Spreads, fees and commissions (contract specifications) - depending on the type of trading strategy this (spreads) might not be a factor for some. Account specifications - types of accounts, how to fund it, minimum amounts for funding and withdrawals and timeframes required for the transactions to go through. Also, the different ways you can fund and withdraw are important (bank transfer, card payments, payment providers like Skrill, for example) Order execution - DMA/STP is essential but these days every broker will claim that and it’s a bit tricky to pin down until you’ve actually started a live account. One thing that you can do to determine if the broker is a genuine DMA/STP provider is to ask for a post-trade report (also called post-trade transparency report) - if they can provide you with such a report you can then see for yourself if the execution times are delayed at any point of the process. Again, it’s almost impossible to verify this point without a funded live trading account! No Dealing Desk - The market is hard enough to navigate without having to trade against your broker. This one is kind of explained in the point above. Negative balance protection - self-explanatory Online reviews and community feedback for the broker - want to take some time to research what your friends, colleagues and the internet in general and trading communities have to say about this particular broker. The broker has been operating for at least 5 years. Is Automated/Algorithmic and High-Frequency Trading (HFT) allowed - if not this could be a signal for internal issues and system/platform problems within the broker’s structure and potential trading and security vulnerabilities. If a broker’s systems can’t handle a high volume of trades that means his servers and systems are not good enough and thus may become an issue for all traders using his services. 10 Last but not least - Support response speed and knowledgeability. - You want a broker who has the support desk that will get involved with your issues and requests as fast as possible.
submitted by Rohitpure to u/Rohitpure [link] [comments]

COMPREHENSIVE Forex Trading SOLUTION/ANSWER; FEEDBACK NEEDED

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
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Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
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Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
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Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
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There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
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Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
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submitted by gentlestream to Forex [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to algotrading [link] [comments]

Feedback Needed

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
~~~~~~~~~~~~~~~~~~~~
~~~~~~~~~~~~~~~~~~~~
Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
~~~~~~~~~~~~~~~~~~~~
Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
~~~~~~~~~~~~~~~~~~~~
Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
~~~~~~~~~~~~~~~~~~~~
There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
~~~~~~~~~~~~~~~~~~~~
Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
~~~~~~~~~~~~~~~~~~~~
submitted by gentlestream to Forex [link] [comments]

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

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

Top Submitters' Top Submissions

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

Top Commenters

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

Top Submissions

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

Top Comments

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

Pre-ICO: Stockus: Fantasy Trading Blockchain Platform
Stockus Crypto Summary
Hi everybody! I’m happy to introduce the Stockus Project to you. It is a new and exciting project on which our team is working on now. The main ideas and its realization are explained further. It will be nice if they are interesting for you.
Stockus. Fantasy trading platform based on the blockchain technology.
Our goal is to create a leading financial simulator based on open ledger technology in order to provide participants with a reliable, transparent trading platform and opportunities to earn large cash prizes. Stockus – is a fantasy trading platform based on smart contracts. Participants place trades individually or in teams. The application allows users to enrol in various tournaments and earn cash rewards without an initial investment of capital.
Gaming Capital Globally
The online gaming industry is rapidly growing, with figures indicating total earnings of 99.6billion USD in 2016 alone. This is an impressive amount; however it pales in comparison to the size of the financial markets. The daily turnover of the Forex market amounted to 5.1trillion USD in 2016. Approximately 10-15 million individual market participants actively trade on Forex worldwide with the total volume generated by retail traders being equal to 293billion USD daily. Statistics show that the average starting capital of a retail trader is somewhere in the region of 700 USD. Within 4 months of trading 97% of all retail traders lose their initial investment and leave the market. The amounts that such traders lose on the currency market amount to tens of millions of dollars annually.
$10 against $700
Our approach differs substantially from the business model of the classic broker. There are two fundamental pillars on which Stockus was built. The first one is that exchange trading for the retail participant is comparable to a game, where players place bets on the direction of the market. And the second one is the players prefer to pay small-one off buy-ins for the chance to win large cash prizes in tournaments as apposed to putting large deposits at risk on leveraged trading accounts. There is clearly a drastic difference between a trader who suffers the loss of their entire deposit of $700 whilst trading on Forex, and a player who buys into a trading tournament for $10 with the chance of winning a massive prize. That same $10 deposit would get the trader nowhere on the Forex market, whereas on Stockus he stands to win thousands of dollars without the requirement of a large investment upfront. Our approach is light years apart from the business model of a traditional broker in the sense that it aims to protect the trader without limiting their gains. Traders are now faced with the choice of trading on the market with a high degree of risk or playing Stockus with limited risk whilst maintaining their earning potential. This is a new opportunity to trader and we believe that they will chose in our favour.
Equal odds of winning
The probability of winning in a fully subscribed Stockus tournament is approximately 3-3.5% which is roughly equal to the chances of turning a profit whilst trading on the Forex market. However $10 gets you nowhere on a forex brokerage account, whereas in Stockus you can enter a trading competition and stand to win tens or even hundreds of thousands of dollars with the same amount. The benefit of Stockus is that each player has a limited loss, but gets an equal chance to win large prizes. Fantasy trading – the Stockus platform is designed to be a direct competitor to traditional brokers by attracting a large number of participants. There is no sense in funding a leverage forex account and risking the entire deposit when the trader can enter a tournament and win fantastic amounts of prize money in a variety of competitions. The development of trading skills and ability to collect large gains solely with the merit of experience and knowledge is the main advantage of Stockus. Millions of players with the ambition, aptitude and skill will be able to compete for the large cash rewards with limited downside. In the past such individuals were faced with a choice between financial markets or betting games. Now, such players have an innovative alternative in the form of Stockus.
How to become a millionaire
Stockus is a financial simulator based on a social media platform which allows any player to participate in a tournament of their choice. If a certain trader prefers a short-term, high frequency game, they can join a daily tournament with large prizes. If, on the other hand, the player is more partial to a long term, trend-based approach, the weekly or monthly tournament is more suited to this style and the prizes can reach astronomical levels. It is crucial to note that the size of the prize is not restricted, which means that the more players buy into the competition, the higher the winning pot. The payouts for larger tournaments can potentially reach six figures or more. The game consists of the following: Professional tournaments which will constantly increase in number. A small buy-in amount is paid to enter the tournament and compete against other traders. The winners immediately receive a payout to their account balance. Friendly tournaments which allow anyone to participate free of charge. The main purpose of these trading challenges is to educate new players and allow existing users to refine their strategies in preparation for the professional games. Decentralised challenges which users can host independently by selecting their competitors and forming a private league. Team tournaments allow players to team up with other traders and compete against each other in groups throughout several rounds.
Players or teams who lose their initial capital have the option to buy back in and continue trading. As opposed to leveraged trading, where each loss is a direct hit to the capital and savings of the trader, Stockus allows players to continue trading for as long as they wish. Players have the ability to improve their chances by purchasing leverage, analytical tools and other extras for additional payments. Members of the Stockus community can exchange feedback, tips and trade ideas with each other. A referral program encourages players to invite their friends. The main attraction for most traders will be the professional tournaments. During the development of our tournament system, the team drew a lot of inspiration from the structure of the competitions held by the fantasy trading platform FanDuel. The capitalisation of FanDuel as an organisation is in the billions, and the platform’s phenomenal success along with hundreds of thousands of members testifies to the scalability and potential of such a model when applied in a different area.
The Principles of Platform Monetisation
Stockus aims to monetise fantasy trading by applying a small commission on each buy-in as well as charging additional fees for bonus features such as refunding, leverage, analytics, etc. Each player can purchase extras in order to improve their chances of winning and gain an edge over their competition. Additional initiatives such as referral programmes and promotions allow players to help others and earn additional tokens for their efforts.
Testing the game
Stockus utilises a unique trading platform which our team modelled around the popular MT4 trading software. This proprietary platform allows players to trade stocks, futures, currency pairs and options in real time on a broad selection of global venues. The Stockus model was throughout several beta rounds hosted on the Facebook developer platform in order to enhance the software and improve functionality. This testing base also allowed us to confirm the viability of the concept and saleability of the offering. This period allowed us to gather valuable data on user preferences, as well as collect feedback and verify the validity of the game concept. Users actively participated in the trading tournaments and purchased additional features in order to boost their chances of earnings a prize. We saw a healthy amount of competition for the prize spots, with many players repurchasing funds or unlocking leverage to get the upper hand on their rival traders. Our developers also expanded the capabilities of the platform during this time, adding several different tournament types as well as options trading during the testing phase. We have now developed a completed version of the game based on the results of these extensive tests, which we are excited to bring to your attention.
Blockchain as a foundation for trust
Stockus is innovating by allowing all types of traders to compete in tournaments with limited risk and on equal terms. Ethereum allows us to create smart contracts which automatically determine and verify the outcome of each trading tournament, as well as paying out the rewards to the winners. The principles of crypto can be used to process and distribute the gains from the various tournaments in an efficient and transparent manner. This solution is optimal due to its security and scalability as the number of players and competitions grows. Unlike a typical brokerageplatform, the entire infrastructure of Stockus is built on blockchain, making the setup robust and secure. One of the toughest challenges we faced during the beta testing phase was gaining the trust of the players. Some users raised concerns regarding the authenticity of the tournament results and likelihood of an actual payout. The blockchain addresses such concerns and puts any doubts to rest due to the transparent and objective manner in which the smart contracts will determine winners as well as the final payout of the prizes. This transparency creates an element of trust amongst users and enhances the eligibility of the tournament series. A second challenge addressed by the blockchain infrastructure is raising the required funds and launching the game within a period of 3months. An ICO offers a priceless opportunity to meet our targets and achieve the ultimate objective of building a trading simulator which will offer an innovative and groundbreaking alternative to the traditional forex trading approach. A third argument in favour of an ICO and the blockchain solution is the ability to issue our own tokens, which will essentially act as a cryptocurrency derivative within our game. These tokens will have a value versus Ethereum and other cryptocurrencies which is directly dependent on the popularity and success of the game. Should the demand for ingame services and tournaments continue to increase as we expect, so will the value of the tokens in relation to other currencies.
Stockus Tokens
Stockus tokens are an integral component of the Stockus economy and ecosystem. Owners of these tockens will have access to the following services: - Participation in trading tournaments - Act as witnesses and judges in the trading tournaments - Receive rewards and prizes in the competitions, promotions and tournaments - Purchase additional services and bonus features - Hosting tournaments - Receive referral rewards for inviting friends The tokens play a key role in the economic processes at play in the Stockus environment. These tokens can be purchased in the application, received from other players, won in a tournament, or as a reward for acting as witness or judge in determining the results of a competition. Additional tokens can also be received as a reward for inviting friends to play. Tokens can also be acquired through the preliminary offering of Stockus tokens via Ether (ENT). The Stockus interface will also integrate third party trading solutions such as Shapershift and Coinbase for those users who do not already hold ENT. The initial offering of Stockus tokens will take place in the form of a preliminary ICO. Anyone can subscribe to the offering in exchange for ENT or other cryptocurrencies such as BTC or STEEM. We plan to offer 5,000,000 of our tokens at a rate of 300 tokens for 1 ENT.
Tournament Result Verification
The decentralised tournament verification system is an elegant and robust solution for all users as it prevents any manipulation or abuse of the competition results. All token holders will be able to act as witnesses or judges when determining the winners of each tournament, allowing the public to verify the results via open ledger technology. Should a single participant disagree with the results, an independent confirmation of the tournament results is established by the witnesses. If the conclusion regarding the winners of a tournament is unanimous and there are no disagreements between participants, no added verification via witness is required and the system automatically processes a payout.
Stockus ICO and Development plans
The bulk of raised capital will be directed at the following: - Development of 2 professional tournaments: the WFT (Weekly Fantasy Tournament) and DFT (Daily Fantasy Tournament). These will be completed in 3 months. - A promotional campaign which will ensure that the userbase reaches critical mass and the project becomes sustainable by increasing the prize amounts in the WFT to the order of tens of thousands. - The development of a social network within Stockus, which would allow players to exchange opinions, experiences and advice, as well as form trading societies and teams. - The development of a mobile version of the trading application. - Development and production of at least one new trading competition every 2 months. The game should have at least 6 different tournament types by the end of the first year. The Stockus development team is pleased to present our project for your review and assessment. We hope the summary has made a positive impression and look forward to your support and feedback.
Thank you in advance for your time and attention.
Stockus Developers
tl;dr New blockchain platform allowing fantasy trading, limited capital at risk for the chance to make substantial amounts of money. Project currently under development, ICO later in the year, feel free to ask any questions!
Facebook: https://www.facebook.com/StockusProject/ Website: www.stockus.io Twitter: https://twitter.com/stockusproject
submitted by Stockus_Project to icocrypto [link] [comments]

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submitted by DifioraAlyssa84 to DifioraAlyssa [link] [comments]

COMPREHENSIVE Forex Trading SOLUTION/ANSWER; FEEDBACK NEEDED

The following is a comprehensive response outlining a viable, reasonable, scalable, and sustainable solution for achieving financial independence/prosperity. Please let me know what you think as I would appreciate your feedback.
Trade the financial markets, specifically Forex trading. It's a fkin trillion dollar industry! There are a plethora of businesses online that sell software to meet the trading/investment needs of various demanding clients.
Just look up online EAs (Expert Advisor, which is automated/algorithmic trading, for Meta Trader 4), verify results using the myfxbook website (i.e. a reputable independent third-party website that certifies and tracks the record/performance of various trading strategies/systems, including commercial EAs), purchase the EA, verify results again by running/performing both a backtest and a forward test (i.e. paper trading on a demo account), and then, and only then can/should you use the EA with real money trading on a live/real account.
You can verify the EA's reliability by performing a backtest for a "significant" time period (for example 5-10 years; or depending on the "frequency" of trades placed from the EA) coupled with 2-3 months of forward testing (i.e. paper trading on a demo account) and if the results are "consistently" profitable (i.e. "overall consistent" "monthly" profits from both backtesting and forward testing) with drawdowns being not "too much/high/extreme" AND not "too frequent", then you can go live and trade using real money.
It's okay to expect a particular trading strategy/system to expire (i.e. lose its edge, or for profits to weaken/deteriorate/diminish). When that time comes, simply go onto the next “hot/trendy” EA or if you were fortunate enough to accumulate significant profits, you can store those profits in an interest-savings account and receive periodic income that way.
The purpose of backtesting and forward testing is to ensure drawdowns are not "too much/high/extreme" AND not "too frequent", AND that there is proper risk management "embedded within the EA", thus minimizing/avoiding the risk of "extreme" drawdown or "extreme" losses when using real money.
Note: The switch to "another" hot/trendy EA should be made when the profits earned from the "current" EA have reached a point/level where it no longer appeals to the individual's interest/preference. However, if there is an "unusual/unexpected/unanticipated" "significant" drawdown (according to the performed backtest and forward test), then that would unfortunately represent an actual/real risk/loss incurred by the individual (and would still require a switch to another hot/trendy EA). This risk can be "mitigated/minimized" by performing a backtest "AND" a forward test (both for a "significant" time period, i.e. depending on the "frequency" of trades placed from the EA), AND by conducting a proper psychological evaluation of the EA seller (as an "individual" entity), i.e. evaluating their reliability, logic, and confidence when it comes to addressing/answering relevant/crucial questions pertaining to Forex/Finance/Trading/Investing (rather than asking for or needing specific details regarding their intellectual property or proprietary strategy/system/software, i.e. their source code or trading methodology).
Ultimately, it comes down to “risk tolerance” while taking into account the results obtained from backtesting and forward testing, as well as the level of confidence and trust you impart/place on the person/group selling/distributing the EA.
Note: refer to the Investopedia website for definitions on the following terminology/vocabulary: backtesting, forward testing (i.e. paper trading on a demo account), drawdown (DD), maximum drawdown (MDD or MaxDD), and monthly/annual ROI (return on investment, as a percentage).
Also, note: "focus" on testing for maximum drawdown (MDD or MaxDD) (making sure drawdowns are not "too much/high/extreme" AND not "too frequent"; for example, not greater than 30%-50%, depending on your risk tolerance or preference) and looking for a "track-record" of "overall consistent" "monthly" profits from both backtesting and forward testing, i.e. paper trading on a demo account (both for a "significant" time period, depending on the "frequency" of trades placed from the EA). This "track-record" can be "verified" either through the "myfxbook" website or through the combined use of backtesting and forward testing.
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Each and every year, students graduate from college and university. How is it "economically feasible" to provide jobs for all or most of these people? My understanding is that people need to display a good understanding of the psychology of first impression, which includes genuine/authentic personality, trustworthiness, and competency (reflected in education); in other words, honest, reliable, and competent in relevant matters, or integrity, energy, and intelligence.
Problem: The individual's attainment of their “desired dream/career job", which is their ultimate purpose for pursuing "rigorous" higher education (i.e. college or university) or "rigorous" professional education (i.e. apprenticeship or trades).
I believe that a lot of people attend college and university with the hope that they will obtain a job after they graduate, a job that will support them financially. If money is the primary reason for their pursuing higheprofessional education, shouldn't they be "informed" (as part of a global/collective civic/social responsibility) that there are alternative ways of making money (personally, namely, trading the financial markets), ones that will actually lead them to, or at least have a higher probability of leading them to, financial independence/prosperity, since the chances of them achieving such goal upon graduation from college/university is realistically slim – if not the problem of difficulty finding employment related to their “desired careedream job”, then the problem of a dead-end mediocre job with a “fixed” “small” salary?
Should we, as a society, steer people away from college/university, often temporarily, since, let's be honest, our society is currently producing "a lot" of "mediocre" individuals with no real chance of obtaining a job that they were initially in pursuit of? Can we, as a society, do a better job of "realizing" and "maximizing" the talents/skills of these "mediocre" individuals, i.e. individuals who have no real chance of obtaining a job which they had been (or currently are) pursuing/studying rigorously for?
After going through a proper evaluation of current circumstances and current options, I've realized that people need to get certain things in their life straight "before" working on pursuing higheprofessional education – i.e. Health > Wealth > Education/”Prestige”.
The mass of people who pursue college and university because their program is in high demand are ones that are studying the program not for its unique intricacies, but rather only for graduation with the expectation that they "deserve" to be rewarded a job. As opposed to, respect and appreciation to the language their subject takes on (whether that be Accounting language or Computer Programming language, etc.). Respect and appreciation for a subject or field is displayed when the person engages with the subject or field with a “critical thinking” mindset, with the main purpose/goal of analyzing and critiquing thoroughly the accuracy of any statement presented to them that is related to their chosen subject or field, i.e. effectively utilizing journaling and documentation (see relevant section below, point #1 of 2 under “ESSENTIAL/CRUCIAL” for more details); this main purpose/goal is often rooted from a genuine desire/interest/passion for pursuing/studying their chosen subject or field.
The simple fact remains that it is simply not economically feasible to provide jobs to meet the constant influx of supply being produced by colleges and universities, "each" and "every" year. As a result, why are people making the foolish decision to incur immense amount of “DEBT” (keyword) while pursuing higheprofessional education when the economic reality simply does not provide enough jobs for society, i.e. jobs that are specifically expected of from college and university graduates?
Quoted from someone else: "Our societies have for so long told us that education can and should equate to professional success, which should equate to economic success, yet we are entering a period where that simply can't occur. The foundation that those notions were created upon doesn't exist any longer, given how we have evolved and grown as a species, and we have yet to make the transition to a new set of notions."
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Some ESSENTIAL/CRUCIAL characteristics of an individual who exhibits genuine desire/interest/passion for pursuing/studying their chosen subject/field (especially at the higher education or professional education level) are as follows:
1) Effective "Information Management" strategy (utilizing journaling and documentation). The individual had made it a priority to create and compile personal notes or online documents for the purpose of future-reference and documentation – for potential revision, self-reflection, self-correction, or discovery, as this is crucial for knowledge retrieval, knowledge retention, as well as knowledge synthesis and creating/generating new knowledge. Note: information becomes knowledge when you regard the information as valuable and when you make the conscious decision to keep it as part of your notes with the expectation/option of using it in the future; knowledge is information in action, so actually using the information, instead of dismissing it as irrelevant.
Response from another individual/writer:
  • I don't mean that all information has to be kept as notes, nor that other strategies/tactics of finding/retrieving information aren't valuable. I don't even mean that it's impossible for someone to exist/operate without ever taking any notes. Most saliently, I'm more saying that to categorically omit note-taking from one's information management capabilities/strategy is to invite unnecessary trouble, likely to the point of dysfunction, unless one happens to never be doing anything that involves any significantly elusive information to begin with.
  • My bias toward this assessment is reinforced by 25+ years of highly-technical work that has resulted in literally thousands (or tens-of-thousands) of pieces of information, extremely valuable to me, that can't be readily found anywhere but in my notes.
  • Some of it is information specifically originating with myself – there's no one or nowhere else from which it can be gotten. Some of it is information that took me immense amounts of time, thought, and effort to find/acquire, and I would never want to have to try to find it again. Most of these things are in my notes because they have either already disappeared, or are likely to disappear, off of the internet, or don't lend themselves well to simple bookmark-able reference.
  • Another way of saying this is that personally-kept notes are a reflection of the time/effort/insight one has had to put into acquiring the information, combined with the value of retrieval efficiency (organized for one's own retrieval needs). To subject yourself to relying on reproduction of that time/effort and self-organization is to either admit that the time/effort isn't significant (i.e. the information is rather trivial or ubiquitous in nature), or that your own time/effort spent isn't worth much (if you're willing to repeat it).
  • Also, if one assumes that the information is always going to be right where you can easily find it, or even right where you found it before, that's actually just naive.
  • While its true you still need to expend time/effort into locating the info, it has been organized specifically how YOU determine it should be, and thus truncates any actual "overhead" involved in the typical "location" process, not to mention the guarantee that it's actually there to find. Note: overhead expense refers to an ongoing expense of operating a business; it is also known as an "operating expense".
  • As a simple/clear example: if you've never spent hours sifting through the deluge from the Google sewer pipe flooding into your browser, just to find anything remotely relevant to the fairly elusive technical scenario you're trying to resolve, then you're probably not acquainted with really anything I'm talking about, and your dismissal would then represent simply being unaware.
2) The individual is ASSERTIVE and NOT PASSIVE towards the subject they are studying. They are WILLING to articulate and share important ideas and concepts from the subject they are studying. The individual is not seen as someone who is under the spell/act (i.e. false and disingenuous impression of superior intelligence) of mindless regurgitation but rather, the individual is able to offer their OWN UNIQUE interpretation on the subject they are studying, while also citing important concepts or ideas where citation is necessary. In other words, the individual demonstrates "individual competency" THROUGH the subject they are studying and are ultimately/inherently passionate about. The individual's competency (i.e. his/her opinion or interpretation of what is relevant or accurate information) is demonstrated through the individual's pattern of logical and coherent thinking, as well as through the individual's writing style (which displays "CONFIDENCE" in what the individual is presenting as relevant or accurate information).
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Relevant response from another individual:
Decide where you fall on the self-directed spectrum.
Highly self-directed: technical books and MOOCs (Massive Open Online Courses)
Average: an online community + curriculum like Free Code Camp or theodinproject.com
Not very self-directed: An in-person coding boot camp like Hack Reactor or App Academy; similar to “subpamediocre” college/university “classroom” learning.
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There are only so many ways of acquiring wealth (with only some methods actually leading to long-term/sustainable financial independence/prosperity):
1) Real Estate
2) Owning a business; being an entrepreneur
3) Career Job requiring higher education (i.e. college or university) or professional education (i.e. apprenticeship or trades)
4) Minimum Wage Jobs
5) Trading the financial markets; making financial “investments” (stocks, forex, futures, options, equities, commodities, etc.)
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Pseudo-Intellectual versus Intellectual (the following is a response from another individual/writer):
An intellectual follows the values and attitudes of Critical Thinking, and exercises good thinking habits. Their interest lies in discovery and self-correction.
The traits of a true intellectual are as follows:
  • intellectual humility – recognizing the limits and sensitivities of one's experience.
  • intellectual courage – ability to examine things and/or state results or potentialities, even if it may be costly/risky to your personal beliefs, or social acceptance, established norms or theories. The ability to put things at risk. Even if they are your own cherished ideas or beliefs that you are putting at risk.
  • intellectual empathy – knowing that you have to imaginatively put yourself in the place of others in order to understand them.
  • intellectual autonomy – being able to think independently, to carry through without constant guidance from others, and sometimes even to come to different conclusions.
  • intellectual integrity – holding yourself to the same standards you hold others, and holding all beliefs to the same standards.
  • intellectual honesty – being willing to admit discrepancies and avoid overlooking exceptions, even to oneself.
  • intellectual perseverance – having the patience to struggle through difficult or complex problems.
  • confidence in reason – willingness to follow the logic where-ever it leads.
  • fair-mindedness – avoiding making unjustified special exceptions or privileges. Holding all viewpoints to the same standards. This does not mean that all views are equal; it means they all are held to the same universal standards. They might end up meeting those standards very unequally. For instance: the theory of evolution vs the fable of creation, or climate change vs science denialism.
A pseudo-intellectual does not do these things. Their interest lies not in discovery and self-correction, but in confirmation of what is already believed. Confirmation Bias. Their "thinking" style is characterized by cognitive biases, a lack of self-reflection/self-correction, a lack of rigor and completeness, and applying woefully different standards to beliefs/ideas that they cherish, and any information that calls them into question.
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submitted by gentlestream to investing [link] [comments]

[Table] IAmA full-time Bitcoin day-trader, blogger, and explainer. I was a pro TCG player. Here until Midnight EST. AMA!

Verified? (This bot cannot verify AMAs just yet)
Date: 2014-02-20
Link to submission (Has self-text)
Questions Answers
Let's say someone was looking for a stay at home computer job, would you recommend doing what you do? Is it something you can hop into, or is it something a lot of time must be put into before considerable income comes? You handle risk and pressure well, and you don't let your emotions guide your decision-making. Professional Poker and TCG players often develop this skillset.
You have experience working with stocks, bonds, derivatives, foreign exchange, or other financial instruments. If you have a strong mathematical background, that would also likely fulfill this.
You can invest significant capital into trading while remaining financially secure if it all suddenly vanishes.
You are capable of constantly monitoring a situation, waking up in the middle of the night if an alarm goes off, etc. It requires serious dedication.
You are good at keeping up with news, understanding market psychology, and "feeling" shifts in attitude and perception among other market participants.
Of those, I'd be most cautious if you don't meet no. 3. Going bust is a real possibility--day-trading a volatile commodity is inherently extremely high-risk. Nos. 2 and 4 are the easiest to learn or force through routine. No. 1 requires a person who approaches things in an emotionally detached manner. No. 5 is something that comes with investing enough time.
Second question: I'm answering this after that big block of text because this answer will come off like a get-rich-quick scheme. Yes, you can hop into it very quickly, and you can start making very high profits very quickly. I put in a small initial investment to test the waters, and made 10% on it in a few days. If you have the right skillset, composure, and resources, yes. It is a potentially very lucrative and exciting stay-at-home job. It is not for everyone, though.
As much as it would be beneficial for me (being in the industry and all), to tell everyone it's easy and that it will help them provide for themselves I feel that people need to know the real risks that are involved. Regardless, that's all a little irrelevant. We're not playing the house, and we're not flipping coins. We're playing other investors, and we're making actual decisions. You keep saying things like "98% lose money" and "Go onto any FOREX forum, and you will see from the users posts that they pretty much all lose money" but you don't back it up. Cool, yeah, it's a zero-sum game with a rake: a little more than half of the players will lose. That's expected. They'll probably complain about it, too, huh?
Retrospect can have a very positive effect. Got any real account trading statements I can have a look at? Let's see how fast you can come up with excuses not to show me ;) I only have and need one: I have chosen not to disclose my personal valuation for privacy reasons. Same reason I've had all along. I instead publicly disclose my trades, as they happen, on my website. The posts are timestamped, and the ones that are the start of a position contain the price I entered at. Go check the posts, then go check the charts, then go check my archive. But feel free to continue to arbitrarily call my credibility into question--that makes your argument better!
What leverage do you use? In Australia the leverage is typically 100:1, perhaps that's why your not seeing how risky I deem it to be. First, our argument so far has had nothing to do with risk. Second, I told you I am leveraged 2.5:1, two posts ago. Third, you realize I'm trading Bitcoin, not ForEx, correct? And that no one in their right mind would offer 100:1 leverage on Bitcoin due to its volatility?
What's your last year's hourly salary? A year ago I was finishing up college and extricating myself from the TCG business I'd co-founded. I took very little in take-home pay over that period, but kept part ownership of the continuing business. Money isn't just about the number on your bank account--it's also about residual future income.
How many hours a week are you typically on a computer? On a computer, probably 50-55, if you add in time I spend on my phone, I'd say 65-70. Day trading takes constant watchfulness. I imagine it's like an easier version of taking care of a baby.
What are your favorite to sources of news besides waiting for it to get to the front/hot page of /Bitcoin when it's several hours old? I have an IFTTT for /BitcoinMarkets and /Bitcoin that notifies me early on about some posts.
What's the weirdest thing about your mom? She started a bookselling business online in her 50s and makes more money than me.
Or.
She's a little old lady who loves gadgets and technology.
What are your thoughts on Dogecoin and other bitcoin competitors? Do you think any have staying value? LTC.
DOGE.
NXT.
VTC.
Coins that offer something different or that have a strong community to them can be valuable prospects.
LTC is the first-mover scrypt coin - DOGE has the most non-techies interested in its success and is spreading quickly as a result - NXT is a cool generation two coin that has a lot of features BTC doesn't have - VTC is ASIC-resistant
Ok, let me spell it out to you. The retail forex market only makes up 5% of the total forex markets liquidity. The other 95% is from hedge funds and institutions. Therefore, 99% of the retail market losing their money is very possible, as that only makes up 4.95% of the whole market. Is it possible that 4.95% of the market generally loses? Yes. How is that infeasible? Nope. That's a false equivalence. It is possible that 4.95% of the market loses. It is not feasible, that, say, 99% of people with blue eyes lose. What, exactly, in empirical terms, is the difference between retail investors and hedge/institutions that causes this INCREDIBLE disparity? Would you care to respond to my above empirical argument that demonstrates that a zero-decision system is flipping a losing coin? Do you consider it feasible for 99% of people playing a 45-55 game to lose?
Are there options and/or futures markets for Bitcoin? Not really yet, but there will be more prominent ones soon. I hear about a new one pretty regularly, it seems, but nothing that seems truly legitimate has come out. I'm certainly excited for them, though.
Eventually, once Mr. Lawsky and co. get things sorted out, I'm certain we'll see a big-name investment bank start offering them.
From the time you started trading until today, what is your overall percentage return? In USD, my percentage return calculated from investment to current valuation is about 300% over a little more than 2 months.
In BTC, my percentage return calculated from investment to current valuation is about 425% over a little more than 2 months.
Using my average per-coin buy-in price, if I had just bought-and-held, I would have lost about 27% of my initial investment value.
Ben, i told you I'd be here and asking about Hearthstone first. If there's one class that needs a bit of tuning, up or down, which is it and why? I think Mage needs basic, class-level tuning. I'm not sure what needs to be done exactly, but I don't like what the Mage class power does to gameplay. I've thought some about how different it would be if it could only hit minions, and I'd want to know if Blizzard had tried that out. The Mage power is too versatile, and over the long-term I think it will prove to be problematic.
What's your favorite card? Lord Jaraxxus is my favorite card. He has a truly legendary feel to him when you play him, but your opponent can still win, even though he's very powerful.
So, where do you think we go from here? I'm currently short, but I don't expect to be so for a lot longer. I don't think we'll get past 550. I also don't expect this drop to hold on for a really long time.
I haven't seen a good, substantive rationale for what the MtGox situation really has to do with Bitcoin price. Yes, it looks bad, it certainly doesn't help with our legitimacy, but is it really worth the incredible price declines we continue to see? I don't think so. I think we are seeing these impressive declines because the price on MtGox (which is a reflection of trust in MtGox relative to Bitcoin price, not just Bitcoin price) has been declining heavily. I don't expect it to continue forever, especially not with things like the Winkdex and the accompanying ETF launching.
MtGox is basically dead to me, for now at least. The sooner everyone stops paying attention to it, the sooner we can all get back on track, which I, for one, will be quite happy about.
Do you think that it's a good thing for a game when the developers of that game discourage certain playing styles (e.g. mill decks or decks that try to win in unconventional manners) whether in hearthstone, MTG, or other TCGs? It can be. I don't want the developers metaphorically over my shoulder outlawing strategies, but I don't mind if the strategies that are "less fun" for your opponent (Draw/Go, Mill, or Hard Combo from MTG, for example) are also less powerful. Most players prefer a game where the best decks are also among the most fun, because it means that they are playing against fun decks more often. Clearly the 2-cost 3/3 will be played most often. If you fix this by making both 2-cost guys 2/2s or 3/3s, or by making one a 2/3 and the other a 3/2, then you've done something--but it's not that interesting. If you instead make the 2-cost 2/2 have text that says "While you control the 3-cost 3/3, this gets +2/+2" and you give the 3 cost 3/3 text that says "While you control the 2-cost 2/2, it has Taunt" you now have more complex cards that reward players for doing something other than just playing the best stand-alone card.
Which do you think is a better option to encourage diversity in TCGs; improving/buffing cards/decks that hardly see any play versus weakening/nerfing cards that are overwhelmingly played? This is obviously a very simplistic example, but I hope it makes the point. Games are more fun when you give players more relevant choices: buffing and nerfing cards tends not to do that as well as promoting synergies does.
Where/what is the actual money behind bitcoin? If it does exist. You might need to rephrase your question for me to understand what you're asking. If you're asking why a Bitcoin has value, the answer is the same as any other good: because someone is willing to pay it.
If you're asking why someone is willing to pay that amount, my answer would be utility.
I just got started on Bitfinex (using your referral link) and am a little intimidated. What types of trades would I recommend I try as a beginner? From there, just keep careful watch, and see what happens. Be neutral and objective toward your own hypothesis, just like in science. Don't be biased by your hopes, be focused on the reality.
So far I've only done a liquidity swap offer to try it since it seemed (nearly) risk free. Have you done any liquidity swap or is it too low in profit? If I'm not going to be able to check my computer for a day or two, or I'm uncertain of what's going to happen the next few days, I do use the liquidity swap function. It's actually very profitable, relative to traditional investments. And you're right, it is low-risk. I'm a fan. Good job selecting it if you were intimidated--that's a good place to start. As far as actually starting trading, do science. Start with a hypothesis. If you were up at 5 AM today when MtGox published their announcement, a good hypothesis might have been something like: "This announcement is going to be a blow to their credibility, and might panic the markets. We'll probably drop by some amount as a result." Invest based on it, figure out around what price you want to take profits, and at what price you'll cut your losses and get out. Stick to those determinations unless something substantive changes. The time you tell yourself you can afford to not close your position because it will "rebound" back to where you want is also the time you lose your shirt.
Is it true that you like Balloons? No, I <3 them.
Lol to the question about your mom... Ben, from my understanding Bitcoin is anonymous, does this mean that you can avoid taxation when receiving payment? Bitcoin isn't anonymous. That's actually a common misconception. It's actually pseudonymous, like Reddit. You end up with an online identity--a wallet address--that you use with Bitcoin.
If I walk up to you on a street corner and buy Bitcoin with cash, then I'm pretty much anonymous. If I buy it from a large institution like Coinbase or some other company, they will have records of the address my Bitcoin was bought for. As a result, you can trace them down, generally speaking.
As for avoiding taxation, that's a general no.
What do you think Bitcoin's biggest hurdle is and how do you think it can be overcome? Are there any misconceptions about Bitcoin that you think people have? The biggest hurdle for Bitcoin to overcome is governments. Governments have a variety of reasons not to want an alternative currency. We seem to have done pretty well on that front here in the US, but for other countries (China) that is not the case. Past that, the other major hurdle is something I consider an inevitability: consumer adoption. Business adoption has begun in earnest, consumer adoption hasn't. It will when enough businesses take Bitcoin to give it sufficient utility for the average customer.
What trading platform do you use to daytrade Bitcoin? What is the standard margin that Bitcoin brokers offer? what's the typical ask/bid spread? I primarily use Bitfinex.
Very few Bitcoin brokers currently offer leverage, Bitfinex offers 2.5:1. Over time, I anticipate it will become more like current Forex, where 10:1 or greater leverage is common.
It varies by exchange depending on their fees. Huobi charges 0% fees, so their spread is generally tiny. Some exchanges can be as wide as 1.5%. Typically, I see spreads between .5 and .7%.
Do you invest in any other type of cryptocurrency? if so, which is your favorite besides bitcoin? I currently have no other holdings, but I've held DOGE and LTC at points and am considering VTC and NXT. DOGE is probably my favorite, because if the community can keep this up for a little longer it will snowball into amaze.
Can you trade me a Jace? TMS WWK, TMS FTV, Beleren, MA, or AoT?
Beleren. M10, M11, LOR, JVC, JVCJPN, or Book Promo?
M10 and if not possible then M11. Sure.
I've been reading your blog for quite some time and especially like your summaries for recent events. Keep up the good work! Do you use strict stop-loss orders for your trades? When do you decide to close a trade? Especially in situations where you can basically see you profit/loss grow by the minute. When is enough? Do you have a longterm bitcoin investment you don't touch or do you use everything you have for trading? I do use relatively strict stop losses, but they're not stop loss orders. My conditions usually aren't just the price hitting a certain point, but instead it sustaining for a brief period, or hitting it with a certain volume, or with a certain amount of resistance to retreat. I don't want my stop loss to be triggered by some idiot who dumps 300 BTC and temporarily drops the price 15, but only ends up really dropping it 3. I am very strict with myself about this, though, generally speaking--if I can't trust promises I make to myself, what good am I?
Let's say for example you have a sum x dollar and a sum y bitcoin on your trading account. How much % of x or y do you risk at every trade? I've seen a formula for the max. amount of investment and read numerous times that traders shouldn't risk more than one or two percent of their "bankroll". Do you generally have dollar and btc or just one of them at any given time? 100% of funds in every trade, so long as all funds are easily moved into the position. Common exceptions are lack of liquidity and funds being on other exchanges. My reasoning for being all-in all-the-time is that it's a profit-maximizing move. It is also risk-maximizing. My risk tolerance is infinite; most people's isn't. Only ever one. Generally BTC if I'm long, dollar if I'm short. I prefer to double-dip, as otherwise it would be in contradiction to the 100% plan. I use everything I have for trading. Again, profit-maximization, infinite risk tolerance.
I decide a closing price when I'm near either my stop loss or my profit aim. I place a limit order or multiple limit orders wherever I need to. I avoid market orders whenever possible. Enough is when I hit my goals or my loss tolerance. I decide these at the start, but I frequently re-evaluate them as news and market conditions develop.
What is a typical bid/ask spread for Bitcoin? It depends what exchange you're looking at, but generally .5-.7%.
What's the best way to popularize Bitcoin among the masses? Add your own but would love your thoughts on: -microtransactions developing nations -gift economy (tipping) I would suggest just running around shouting "You get to be your own bank" is probably the best way.
In all seriousness, though--we don't need to try. It's going to happen on its own from now on, as the news media slowly starts to pick up the story. People will start appearing on TV talking about it with more and more frequency. Things like the Dogelympic teams are great PR and help boost it up, as well, of course, but in general it's just going to follow the adoption curve of every other technology.
If it picks up in a few developing nations that have stable internet, it will be a massive revolution for them. Self-banking can do a huge amount of good for an economy like theirs. We might see reports on that. If a major newspaper decides to run a permanent paywall like what the Sun-Times tested recently, that could be big as well. The slow PR from tipping on Reddit is another way, to be honest. Every bit helps, but the cryptocurrency community is now large enough that we're going to do a significant amount of organic, word-of-mouth style growth.
Do you think that a magic game could beat harthstone? If they do a good job, absolutely. They have to focus on the right things. It needs to be mobile-available, easy to pick up and play, and fun.
Is there a good crypto currency to get in on now, before it explodes like bitcoin did? There are plenty of options. Check out coinmarketcap.com. Fair warning, there are plenty of horrible things there--treat it kind of like penny stocks. I like BTC, LTC, DOGE, NXT, and VTC.
Also, why is it such a pain in the ass to buy them with actual money? Like you have to have bitcoins to buy other crypto currency. It's such a pain to buy them with USD because no one has made a good system to do it on, like Coinbase. If you think there's a desire, go do it!
Well the way I look at it, is how the hell else would you be able to buy them? Not everyone has piles of bitcoins lying around and I really don't want to spend $600+ on a single bitcoin just to buy some other currencies. Ah, I see the problem! You can buy fractions of a Bitcoin using Coinbase--I think .01BTC (~$6) is their minimum.
The March 2013 appreciation was from American and European investors and November 2013 was mainly from Chinese investors. Which group of people do you think will be the next to buy (I hate using the word invest when talking about bitcoin) bitcoin for investment purposes? American institutional and hobby investors. That is, Wall Street and people who pay attention to Wall Street.
Which do you think will be a better long term (~5 years) investment, Bitcoins, Litecoins, Dogecoins, Fetch Lands, Shock Lands, or Original Dual Lands? Does it change for ~10 years? Either Bitcoin or Fetch lands for 5 years. For 10 years, Bitcoin. I'd be worried about the 10-year view for paper MTG.
Ive been mining Bitcoins for years now, i have a good sum im my wallet but i never plan to use them. Does this make me a bad person? Approximately yes.
Ben, I should've simultaneously copied and pasted all of my questions from the Spreecast over to here but here are a few... It seems like the conspiracy crowd has really latched onto the idea of Bitcoin as being a discreet form of currency. If Bitcoin is backed up by the internet why would people choose having a currency that's being tracked over say cash, gold, different commodities? Having a currency be tracked has negatives and positives, but it's overwhelmingly positive for the average consumer. Because it's tracked, you don't need to pay someone to move your money for you. There also are no chargebacks, which means merchants aren't getting scammed and passing those costs onto consumers. Theft costs everyone money. It's also very fast--transactions confirm in just 10 minutes, regardless of size or where it's going. Transferring dollars from here to China is very difficult--transferring Bitcoin? Just as easy as from anywhere else to anywhere.
My job is a mix of voodoo, intuition, science, and news. In USD, my percentage return calculated from investment to current valuation is about 300% over a little more than 2 months.
No, just gambling. In BTC, my percentage return calculated from investment to current valuation is about 425% over a little more than 2 months.
Anyway, how have the profits been from start to finish compared to the market? Using my average per-coin buy-in price, if I had just bought-and-held, I would have lost about 27% of my initial investment value.
Are you willing to disclose how much you have in your trading portfolio/what kind of profit you turn both % and $ wise? In USD, my percentage return calculated from investment to current valuation is about 300% over a little more than 2 months.
In BTC, my percentage return calculated from investment to current valuation is about 425% over a little more than 2 months.
Using my average per-coin buy-in price, if I had just bought-and-held, I would have lost about 27% of my initial investment value.
What would you say is the easiest method of shorting bitcoin or any other coin? For shorting Bitcoin or Litecoin, check here.
For other coins, there isn't really a good way yet, to the best of my knowledge. A few exchanges have plans to add short-selling, but Bitfinex is really the only one I know of that has.
What did you have for breakfast today. Didn't breakfast, was delicious.
Hey Ben, I know next to nothing about Bitcoin. I went to /bitcoin after seeing this AMA on your FB, and I noticed that everyone is going apeshit over "Gox". I have no idea what that means or why everyone is so sad/angry/suicidal. MtGox (which originally stood for Magic the Gathering Online eXchange) was the first prominent Bitcoin exchange. They've been going through some rather rough times lately, some of which I was an early cataloguer of here. In short, everyone is freaking out because the exchange may be insolvent. It's not really a big deal to Bitcoin as a whole, but it's certainly an obvious blow to credibility. In my view, people are primarily upset because MtGox has been a part of Bitcoin for a very long time, and it can be hard to let go of what we're used to. I expect that they will either fix the issues or will go out of business officially very soon.
Please explain what happened.
Tell me every artist in your iTunes. Daft Punk, detektivbyrån, Kid Cudi, Matisyahu, The White Panda.
Spotify for life, yo.
Follow up question, what % are you in BTC vs Fiat and when you are on the losing side of a trade do you find your self dumping in more to get right or do you pull the cord Unless my positions are on different exchanges or in different coins, they're all always 100% of what I'll put into that trade at entrance and exit. As a result, I end up with a binary choice: stay or reduce/close. I very rarely reduce position size, nearly always preferring to just end the position instead.
Last updated: 2014-02-25 04:57 UTC
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