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System Requirements for Trading Software MultiCharts
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Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down: https://preview.redd.it/frmtdk8e9hk51.png?width=276&format=png&auto=webp&s=1c0ff12539e0b2f9dbfda13d0565c5ce2b6f8f1a https://preview.redd.it/6axdb6lh9hk51.png?width=593&format=png&auto=webp&s=9af1673272a5a2d8df28f60f4707e948a00e5ff1 FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp https://preview.redd.it/yo71y6qj9hk51.png?width=355&format=png&auto=webp&s=a9414bdaa03c06114ca052304a26fae2773c3e45 FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: https://preview.redd.it/oxaa1wel9hk51.png?width=443&format=png&auto=webp&s=13d60d2518980360c403364f7150392ab83d07d7 So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% https://preview.redd.it/e4trju3p9hk51.png?width=387&format=png&auto=webp&s=6f6bee15f836c47e73121054ec60459f147d353e EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. https://preview.redd.it/yl7f58tr9hk51.png?width=489&format=png&auto=webp&s=68906b9ecbcf6d886393c4ff40f81bdecab9e9fd P/E has declined in the past 2 years, making it a great time to buy. https://preview.redd.it/4mqw3t4t9hk51.png?width=445&format=png&auto=webp&s=e8d719f4913883b044c4150f11b8732e14797b6d Increasing ROE despite lowering of leverage post 2016 https://preview.redd.it/lt34avzu9hk51.png?width=441&format=png&auto=webp&s=f3742ed87cd1c2ccb7a3d3ee71ae8c7007313b2b Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. https://preview.redd.it/fliirmpx9hk51.png?width=370&format=png&auto=webp&s=1216eddeadb4f84c8f4f48692a2f962ba2f1e848 SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in. Calls have shitty greeks, but if you're ballsy October 450s LOL, I'm holding shares I’d say it’s a great long term investment, and it should at least be on your watchlist.
There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.
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Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.
Hello and thank you for being here again! In this article I want to show you how I structure my operations by trading in the currency market. If it can give you ideas or help you in your process, the objective of this post will be more than fulfilled. I will try to be as clear and direct as possible. I'll go point by point: Index
1. How to trade
2. Intraday or swing trading in Forex?
3. Automatic or Manual Forex Trading
4. Is analysis the key to Forex trading?
5. Learn to create robust trading strategies
6. Best Forex Trading Strategies
6.1. Trading strategies with very simple entry and exit criteria
6.2. Systems with a not very high number of operations or trades
6.3. Strategies with a controlled return/risk
7. Establish connection and disconnection rules for your systems
8. Diversify in Forex
9. What currencies to trade on Forex
10. Why invest (only) in Forex
11. Steps to trade
12. How to start as a professional trader (without knowing how to program)
Focusing on the basics and keeping it simple. Let me explain, you don't have to rely on hyper-complex strategies, use the software that PETA it and put it on the server next to your broker ... you don't have to be the best programmer, much less get dirty on the graphics of your platform to win money in Forex. You need systems. The systems work. Results-oriented companies and work methods are systems-based. You should start applying and creating systems because they will allow you:
Know what you can expect (return and risk) in results.
Measure what you do .
Know when what you are applying is stopping working.
Yes, that sitting in front of the computer, looking and saying "I think EUR / USD is going to rise" is the most common thing, but the normal thing here is to lose money. You need winning strategies to start the fight.
2. Intraday or swing trading in Forex?
This question is an interesting question and I make a small indent if you are just starting out. Swing trading are operations that usually last several days and when we talk about intraday or day trading we refer to operations that are closed on the same day. Well, which one then? Like everything in life, it depends (we are). You have to learn that there is no “best for all”. In my case I combine both operations because I dedicate myself full time to this, but if you are just starting out or are one of the people who get stressed out with trading, I recommend that you focus on swing trading. As you consolidate here you can start to scale and seek to diversify by doing intraday. But again, this is just something that I recommend based on my own experience and from people I have known over the years.
3. Automatic or Manual Forex Trading
Not all automated Forex trading systems are a panacea, nor are all discretionary or manual systems bad. Stop looking at it like that, we're only talking about execution. This is precisely why I am opting for automated execution. We could talk at length about this and if you find it interesting I can dedicate an article just to it. But think that automation is just how strategy is carried out. Whether this is a winner or a loser is the basis of everything. Automating a losing strategy does not make it a winner, it is only about applying strategies that are profitable and ensuring that they are executed in the best way (in manual we always cheat alone).
4. Is analysis the key to Forex trading?
Many people think that technical analysis is the key to beating the market and defend it to the last consequences. The same happens with those who think that the only way to make money in the foreign exchange market is through fundamental analysis. So what really works? What really works and you can check. What good is it if you tell me that this or the other is the best method if you haven't even sat down to draw numbers. Many times it is not with what, but how. That is, they can be different valid methods if they are done well. But for this you need statistics of what you are doing. >>>Recommended Forex Broker: Plus500 - Visit official website<<<
5. Learn to create robust trading strategies
Let's first see what a robust trading strategy is all about. As traders, we know what has happened in the past, but we don't know what will happen in the market tomorrow. That is why we need systems that are well adapted to changing market circumstances. How can we know systems adapt well to alterations in the spread, prices ...? Simulating those alterations, something like simulating those conditions and seeing how they behave. There are different tests for this such as: Walk Forward test, Montecarlo, and Multimarket. These tests give us an idea of how robust our created trading system is and give us a reference. Be careful, I said reference, not absolute truth. Then we will test them, our goal is to leave as little space as possible to chance.
6. Best Forex Trading Strategies
You may be wondering how you are going to manage to create profitable strategies and start with all this. Calm down, there are tools for this, but the important thing here is that you know that the strategies that tend to be more stable over time and give better results are:
6.1. Trading strategies with very simple entry and exit criteria
The opposite of what you may have been told. The simpler our Forex trading systems are, the more likely they will continue to work overtime. I have seen this myself and I know it first hand. Also, which is more likely to stop working, a system based on six indicators or a system based on one or two? That six indicators continue to give results for years and years is not easy. Instead, only one or two are more so. Still, trading systems should always be supervised.
6.2. Systems with a not very high number of operations or trades
Sometimes when we become obsessed with being in the market constantly making gazillions of trades, we are giving our broker money and taking it out of our pocket. More is not better in trading, better is better. This is about getting the most money with the least risk, not giving it to your broker.
7. Establish connection and disconnection rules for your systems
All methods of trading sound great. The problem is when they start to lose. Some tell you that you have to continue, that the system is the system… But what if the system is stopping working? After all, we live in a changing world and our money is not infinite. The reality is that many people do not know how to determine when the system is failing or when this happens because they are applying it incorrectly. If you execute the strategies in an automated way you are already saving this, then what you need is a rule to deactivate your strategies at a certain point. To do this, it is enough to monitor them with platforms such as Bluefox or Myfxbook to know what the performance of each is.
8. Diversify in Forex
If we deactivate a Rubén strategy, we stop trading. Not if you activate another that has been doing it well. It is not about you running a Forex trading system or two, it is about having different systems: the best in real and a demo base created that you can include in your real account when you deactivate one because their performance has dropped. You can diversify by youI frame (temporality time) on assets (currencies) or types of systems (trend, mean reversion ...). The objective of diversifying is to seek a more stable return, many people do for this is to introduce many systems without more, if you do this you will achieve the opposite, you will be increasing the risk.
9. What currencies to trade on Forex
I recommend that you focus on the majorsor major currency pairs, especially if your broker has a high spread, as it is usually lower on these. One of the advantages of automating is that you can scale your trading and do it in different currencies, diversifying as I said before. These are the assets that I have traded in recent months: https://preview.redd.it/4myzmwlxl9v51.png?width=800&format=png&auto=webp&s=7635d085d2b434e3d3da0420937c245b6cd21339 It starts with being profitable with a few (one or three assets) and as you evolve you can grow your portfolio.
10. Why invest (only) in Forex
I will not be the one to tell you that you should invest in Forex and not in another market. Each one belongs to his father and mother and has its good and not so good things. Of course, one thing is clear, wherever you do it, remember the power of specialization. There are traders who focus on one or two assets and they are profitable. In the end, that's what it's all about, isn't it? This operation can be extrapolated to different assets such as raw materials, indices and cryptocurrencies. Yes, cryptocurrencies too. In fact, my operations are mainly based on currencies and cryptocurrencies (85% in the first group and 15% in the second). But I have to say that cryptocurrency trading has given me a pleasant surprise this year. Again, if you are starting, do not do it with many assets or you will saturate yourself. Start step by step and diversify as you evolve. Jack of all trades, master of none.
11. Steps to trade Forex Reddit
If you've gotten this far, it may not be entirely clear to you how the hell I trade, then I'm going to summarize it in steps:
I create statistically profitable trading strategies and verify through tests that they are robust.
I put them on a demo account to make sure they work perfectly.
Once they meet the requirements that I demand of them, I pass them to real.
In real account, I manage my systems connecting and disconnecting them according to their performance (always under objective criteria).
12. How to start trading Forex Reddit as a professional trader (without knowing how to program)
But Rubén, I haven't studied computer science and I'm not particularly good at math. Don't worry if you don't know how to program, it is possible to do all this using tools that will do it for you. For years I have programmed my own systems myself and that's fine, but now I'm concentrating on managing them and getting the most out of them. Do not think that this is the robot that will make you earn millions of euros while you drink the gin and tonic on the beach. We will read soon with new posts about trading, Forex, cryptocurrencies, platforms ... Good luck! To start trading, open an account on Plus500, one of the leading Forex brokers: Click Here
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists If any of you have relevant experience or are friends with people in Investment Banking/other high finance, you know that Factset is the lifeblood of their financial analysis toolkit if and when it’s not Bloomberg, which isn’t even publicly traded. Factset has been around since 1978 and it’s considered a staple like Bloomberg in many wealth management firms, and it offers some of the easiest to access and understandable financial data so many newer firms focused less on trading are switching to Factset because it has a lot of the same data Bloomberg offers for half the cost. When it comes to modern financial data, Factset outcompetes Reuters and arguably Bloomberg as well due to their API services which makes Factset much more preferable for quantitative divisions of banks/hedge funds as API integration with Python/R is the most important factor for vast data lakes of financial data, this suggests Factset will be much more prepared for programming making its way into traditional finance fields. According to Factset, their mission for data delivery is to: “Integrate the data you need with your applications, web portals, and statistical packages. Whether you need market, company, or alternative data, FactSet flexible data delivery services give you normalized data through APIs and a direct delivery of local copies of standard data feeds. Our unique symbology links and aggregates a variety of content sources to ensure consistency, transparency, and data integrity across your business. Build financial models and power customized applications with FactSet APIs in our developer portal”. Their technical focus for their data delivery system alone should make it stand out compared to Bloomberg, whose UI is far more outdated and complex on top of not being as technically developed as Factset’s. Factset is the key provider of buy-side portfolio analysis for IBs, Hedge funds, and Private Equity firms, and it’s making its way into non-quantitative hedge funds as well because quantitative portfolio management makes automation of risk management and the application of portfolio theory so much easier, and to top it off, Factset’s scenario analysis and simulation is unique in its class. Factset also is able to automate trades based on individual manager risk tolerance and ML optimization for Forex trading as well. Not only does Factset provide solutions for financial companies, they are branching out to all corporations now and providing quantitative analytics for them in the areas of “corporate development, M&A, strategy, treasury, financial planning and analysis, and investor relations workflows”. Factset will eventually in my opinion reach out to Insurance Risk Management a lot more in the future as that’s a huge industry which has yet to see much automation of risk management yet, and with the field wide open, Factset will be the first to take advantage without a shadow of a doubt. So let’s dig into the company’s financials now: Their latest 8k filing reported the following: Revenue increased 2.6%, or $9.6 million, to $374.1 million compared with $364.5 million for the same period in fiscal 2019. The increase is primarily due to higher sales of analytics, content and technology solutions (CTS) and wealth management solutions. Annual Subscription Value (ASV) plus professional services was $1.52 billion at May 31, 2020, compared with $1.45 billion at May 31, 2019. The organic growth rate, which excludes the effects of acquisitions, dispositions, and foreign currency movements, was 5.0%. The primary contributors to this growth rate were higher sales in FactSet's wealth and research workflow solutions and a price increase in the Company's international region Adjusted operating margin improved to 35.5% compared with 34.0% in the prior year period primarily as a result of reduced employee-related operating expenses due to the coronavirus pandemic. Diluted earnings per share (EPS) increased 11.0% to $2.63 compared with $2.37 for the same period in fiscal 2019. Adjusted diluted EPS rose 9.2% to $2.86 compared with $2.62 in the prior year period primarily driven by an improvement in operating results. The Company’s effective tax rate for the third quarter decreased to 15.0% compared with 18.6% a year ago, primarily due to an income tax expense in the prior year related to finalizing the Company's tax returns with no similar event for the three months ended May 31, 2020. FactSet increased its quarterly dividend by $0.05 per share or 7% to $0.77 marking the fifteenth consecutive year the Company has increased dividends, highlighting its continued commitment to returning value to shareholders. As you can see, there’s not much of a negative sign in sight here. It makes sense considering how FactSet’s FCF has never slowed down FactSet’s annual subscriptions and professional services have made its way to foreign and developing markets, and many of them are opting for FactSet’s cheaper services to reduce costs and still get copious amounts of data and models to work with. Here’s what FactSet had to say regarding its competitive position within the market of providing financial data in its last 10k: “Despite competing products and services, we enjoy high barriers to entry and believe it would be difficult for another vendor to quickly replicate the extensive databases we currently offer. Through our in-depth analytics and client service, we believe we can offer clients a more comprehensive solution with one of the broadest sets of functionalities, through a desktop or mobile user interface or through a standardized or bespoke data feed.” And FactSet is confident that their ML services cannot be replaced by anybody else in the industry either: “In addition, our applications, including our client support and service offerings, are entrenched in the workflow of many financial professionals given the downloading functions and portfolio analysis/screening capabilities offered. We are entrusted with significant amounts of our clients' own proprietary data, including portfolio holdings. As a result, our products have become central to our clients’ investment analysis and decision-making.” (https://last10k.com/sec-filings/fds#link_fullReport), if you read the full report and compare it to the most recent 8K, you’ll find that the real expenses this quarter were far lower than expected by the last 10k as there was a lower than expected tax rate and a 3% increase in expected operating margin from the expected figure as well. The company also reports a 90% customer retention rate over 15 years, so you know that they’re not lying when they say the clients need them for all sorts of financial data whether it’s for M&A or wealth management and Equity analysis: https://www.investopedia.com/terms/f/factset.asp FactSet also has remarkably good cash conversion considering it’s a subscription based company, a company structure which usually takes on too much leverage. Speaking of leverage, FDS had taken on a lot of leverage in 2015: So what’s that about? Why were FactSet’s long term debts at 0 and all of a sudden why’d the spike up? Well usually for a company that’s non-cyclical and has a well-established product (like FactSet) leverage can actually be good at amplifying returns, so FDS used this to their advantage and this was able to help the share’s price during 2015. Also, as you can see debt/ebitda is beginning a rapid decline anyway. This only adds to my theory that FactSet is trying to expand into new playing fields. FactSet obviously didn’t need the leverage to cover their normal costs, because they have always had consistently growing margins and revenue so the debt financing was only for the sake of financing growth. And this debt can be considered covered and paid off, considering the net income growth of 32% between 2018 and 2019 alone and the EPS growth of 33% EBITDA has virtually been exponential for FactSet for a while because of the bang-for-buck for their well-known product, but now as FactSet ventures into algorithmic trading and corporate development the scope for growth is broadly expanded. P/E has declined in the past 2 years, making it a great time to buy. Increasing ROE despite lowering of leverage post 2016 Mountains of cash have been piling up in the coffers increasing chances of increased dividends for shareholders (imo dividend is too low right now, but increasing it will tempt more investors into it), and on top of that in the last 10k a large buyback expansion program was implemented for $210m worth of shares, which shows how confident they are in the company itself. SGA expense/Gross profit has been declining despite expansion of offices I’m a bit concerned about the skin in the game leadership has in this company, since very few executives/board members have significant holdings in the company, but the CEO himself is a FactSet veteran, and knows his way around the company. On top of that, Bloomberg remains king for trading and the fixed income security market, and Reuters beats out FactSet here as well. If FactSet really wants to increase cash flow sources, the expansion into insurance and corp dev has to be successful. Summary: FactSet has a lot of growth still left in its industry which is already fast-growing in and of itself, and it only has more potential at its current valuation. Earnings September 24th should be a massive beat due to investment banking demand and growth plus Hedge fund requirements for data and portfolio management hasn’t gone anywhere and has likely increased due to more market opportunities to buy-in.
I’ve been looking for a broker that has an API for index futures and ideally also futures options. I’m looking to use the API to build a customized view of my risk based on balances, positions, and market conditions. Searching the algotrading sub I found many API-related posts, but then when I actually read them and their comments, I found they’re often lacking in real substance. It turns out many brokers or data services that have APIs don’t actually support index futures and options via the API, and instead they focus on equities, forex, or cypto. So here’s the list of what I’ve found so far. This isn’t a review of these brokers or APIs and note that I have a specific application in mind (index futures and futures options). Perhaps you’re looking for an API for equities, or you just want data and not a broker, in which case there may be a few options. Also, I’m based in the US so I didn’t really look for brokers or platforms outside the US. If you have experience with these APIs, please chime in with your thoughts. Also, I may have missed some brokers or platforms. If I did or if you see anything that needs correction please let me know.
Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Wow, this list grew longer than I originally thought it would be. If you spot a mistake, please let me know and I’ll correct it. Edit: - added Lightspeed API - updated Dashprime to indicate some of the APIs available - added Medved Trader to table - added marketstack to table
Profitable forex strategy: it is a type of instruction for the trader, which helps to follow a clearly verified algorithm and safeguard his deposit from emotional errors and consequences of the unpredictability of the Forex currency market.
Thanks to her, you will always know the answer to the question: how to act in certain market conditions. You have the conditions of opening a transaction, the conditions of its closing, likewise, you do not guess if it is time or not. You do what the trading strategy tells you. This does not mean that it cannot be changed. A healthy trading scheme in the forex market must be constantly adjusted, it must comply with the realities of current market trends, but there must be no unfounded arguments in it. >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE
Profitable Forex Strategy Reddit
Types of trading strategies The forms of a trading strategy can combine a variety of methods. However, several of the most commonly used options can be highlighted.
Trading strategy based on various complementary technical indicators
Trading strategy using Bollinger Bands
Moving Average Strategy
Technical figures and patterns
Trading with Fibonacci levels
Candlestick trading strategy
Trend trading strategy
Flat trading strategy
Scalping
Fundamental analysis as the basis of the strategy
Three most profitable Forex strategies
Important!These strategies are the basis for building your own trading system.Indicator settings and recommended pending order levels are for consultation only.If you do not get a satisfactory outcome in the test result or in a live account, that does not mean that the problem is the strategy.It is enough to choose individual parameters of indicators under a separate asset and under the current market situation.
1. “Bali” scalping strategy
This strategy is one of the most popular, at least its description can be found on many websites. However, the recommendations will be different. According to the author's idea, "Bali" refers to scalping tactics, as it facilitates a fairly short stop loss (SL) and take profit (TP). However, the recommended time frame is high, because the signals appear not very often. The authors recommend using the H1 interval and the EUR / USD currency pair. Indicators used:
Linear Weighted Moving Average. Period 48 (red line).
https://preview.redd.it/9mhs67mxeaw51.jpg?width=461&format=pjpg&auto=webp&s=913d428edd4cab0a3237e7039829a76dd587f1f5 The weighted linear moving average here acts as an additional filter. Due to the fact that LWMA gives more weight to the values of the last periods, the indicator in the long periods practically excludes delays. In some cases, LWMA can give a signal beforehand, but in this strategy only the moving position relative to price is important. Bearish LWMA is a buy signal, sell bullish.
Trend Envelopes_v2. Period 2 (orange and blue lines).
https://preview.redd.it/8bap0s41faw51.jpg?width=627&format=pjpg&auto=webp&s=a6236ad06765280bbfd655fa1fb4153b28aaaf56 The indicator is also based on the moving average, but the formula is slightly different for the calculation. Its marking is more precise (the impact of price noise has been eliminated). It allows you to identify the twists of the trend compared to the usual mobile with a slight anticipation. Trend Envelopes has an interesting property: the color of the line and its new location changes when the price penetrates its old trend line, a kind of signal.
DSS of momentum. The configuration in the screenshot below.
Important!Note that the indicators for the “Bali” strategy are chosen in such a way as to ultimately give an early signal.This gives the trader time to confirm the signal and check the fundamentals.
MA is one of the basics on MT4, the other two indicators can be found in the archive for free here. To add them to the platform, click on MT4: "File / Open data directory". In the folder that opens, follow the following path: MQL4 / Indicators. Copy the flags to the folder and restart the platform. Also Read: Make Money With Trading Conditions to open a long position:
Price penetrates the orange Trend Envelopes line from the bottom up. At the same time in the same candle there is a change of the orange line that falls to a growing celestial.
The candle is above LWMA. Once the above condition has been met, we wait for the candle to appear above the moving one. It is important that it closes above the LWMA red line. It is mandatory to have a Skyline Trend Envelopes on a signal candle.
The additional DSS of momentum line on the signal candle is green and is above the dotted line of the signal (that is, it crosses or crosses it).
We open a trade at the close of the signal candle. The recommended stop level is 20-25 points in 4-digit quotes, take profit at 40-50 points. https://preview.redd.it/t48d55s8faw51.jpg?width=1000&format=pjpg&auto=webp&s=1e93863745e74dec536178539817225767cbeb1c The arrow indicates a signal candle where a Trend Envelopes color change occurred. Note (purple ovals) that the blue line is below the orange line and goes upwards (in other cases the signal should be ignored). In the signal candle, the green DSS of momentum line is above the dotted line. Conditions to open a short position:
Price penetrates the Trend Envelopes sky line from top to bottom. At the same time in the same candle there is a change from the increasing celestial line to the falling orange.
The candle is below LWMA. Once the above condition has been met, we wait for the candle to appear below the mobile. It is important that it closes below the LWMA red line. It is mandatory to have an orange Trend Envelopes line on a signal candle.
The additional DSS of momentum line on the signal candle is orange and is below the dotted line of the signal (i.e. crosses or crosses it).
This profitable Forex strategy is weekly and can be used on different currency pairs. It is based on the spring principle of price movement, what went up quickly, sooner or later must fall. To trade you will only need a schedule on any platform and W1 time frame (although the daily interval can be used).
You should estimate the size of the candle bodies of different currency pairs ( AUDCAD , AUDJPY , AUDUSD , EURGBP , EURJPY , GBPUSD , CHFJPY , NZDCHF , EURAUD , AUDCHF , CADCHF , EURUSD , EURCAD , GBPCHF ) and choose the largest distance from the opening to the close of the candle in the framework of the week. In this to open a transaction at the beginning of the following week.
Conditions to open a long position:
The bearish candle, which signifies last week's movement, has a relatively large body.
Open a long position early next week. Make sure to place a stop loss at 100-140 points and a take profit at 50-70 points. When it is midweek, close the order if it has not yet been closed at take profit or stop loss. After that, wait again for the beginning of the week and repeat the procedure, in any case do not open operations at the end of the current week. https://preview.redd.it/vuihnqspfaw51.jpg?width=1000&format=pjpg&auto=webp&s=7641e9d7701911cc255c4f0c8a53e1660c35c9fe On this chart it is clearly seen that after each large bearish candle there is necessarily a bullish candle (although smaller). The only question is what period to take where it makes sense to compare the relative length of the candles. Here everything is individual for each currency pair. Note that a rising candle was observed followed by a few small bearish candles. But when it comes to minimizing risks, it is best not to open a long response position, as the relatively small decline from the previous week may continue. Conditions to open a short position:
The bullish candle, which signifies last week's movement, has a relatively large body.
We open a short position early next week. https://preview.redd.it/tv4zmf5ufaw51.jpg?width=1000&format=pjpg&auto=webp&s=61cd1dcfc4aebfa6f80343b6c51f7a6e46358602 The red arrows point to the candles that had a large body around the previous bullish candles. Almost all signals turned out to be profitable, except for the transactions indicated by a blue arrow. The shortcomings of the strategy are rare signs, albeit with a high probability of profit. The best thing is that it can be used in several pairs at the same time. This strategy has an interesting modification based on similar logic. Investors with little capital opt for intraday strategies, as their money is insufficient to exert radical pressure on the market. Therefore, if there is a strong move on the weekly chart, this may indicate a cluster of large strong traders. In other words, if there are three weekly candles in one direction, it is most likely the fourth. Here you also have to take into account the psychological factor, 4 candles is equal to one month, and those who "push" the market in one direction, within a month will begin to set profits. Strategy principle:
A "three candles" pattern (ascending and descending) formed on the weekly chart.
It is preferable that each subsequent candle was larger than the previous one. Doji is not taken into account (disembodied candles).
Stop is placed at the closing level of the first candle of the constructed formation. Take profit at 50-100% of the last candle, but it is often better to manually close the trade.
This strategy is universal and is usually given as an example for novice traders. It uses classic EMA (Exponential Moving Average) indicators for MT4 and Parabolic SAR, which acts as a confirmatory indicator. The strategy is trend. Most sources suggest using it in "minutes", but price noise reduces its efficiency. It is better to use M15-M30 intervals. Currency pairs - Any, but you may need to adjust the indicator settings. Indicators used:
EMA with periods 5, 25 and 50. EMA (5) in red, EMA (25) and EMA (50) in yellow. Apply to Close (closing price).
Red EMA (5) crosses the yellows from bottom to top.
Parabolic SAR is located under the sails.
Conditions to open a short position:
Red EMA (5) crosses the yellows from top to bottom.
Parabolic SAR is located above the candles.
The transaction can be opened on the same candle where the mobile crossover occurred. Stop loss at the local minimum, take profit at 20-25 points. But with the manual management of transactions you can extract great benefits. For example, close at the time of the transition from EMA (5) to a horizontal position (change of the angle of inclination of the growth to flat). https://preview.redd.it/4un92jlegaw51.jpg?width=1000&format=pjpg&auto=webp&s=406a700c00722349622d031e20d0858e4196d18b This screen shows that all three signals (two long and one short) were effective. It would be possible to enter the market on the candle by following the signal (in order to accurately verify the direction of the trend), but you would then miss the right time to enter. It is up to you to decide whether it is worth the risk. For one-hour intervals, these parameters hardly work, so be sure to check the performance of the indicators for each period of time in a minimum span of three years. And now that you know the theory, a few words about how to put these strategies into practice. Ready? Then let's get started!
From the theory to the practice
Step 1. Open demo account It's free, requires no deposit, takes up to 15 minutes, and no verification required. On the main page of your broker there is for sures a button "Register", click and follow the instructions. An account can also be opened from other menus (for example, from the top menu, from the commercial conditions of the account, etc.). Step 2. Familiarize yourself with the functionality of the Personal Area. It won't take long. It is at the most user friendly and intuitive. You just need to understand the instruments of the platform and understand how the trades are opened. Step 3. Launch the trading platform. The Personal Area has the platform incorporated, but it is impossible to add templates. Hence, the "Bali" and "Parabolic Profit" strategies can only be executed on MT4.
Characteristics of an effective Forex strategy Reddit
And finally, let's see what makes a profitable Forex strategy effective. What properties should it have? Perhaps three of the most important characteristics can be pointed out.
The minimum number of lag indicators. The smaller they are, the greater the forecast accuracy.
Easy. Understanding your strategy is more important than your saturation with complex elements, formulas, and schematics.
Uniqueness. Any trading strategy must be "tailored" to your trading style, your character, your circumstances, and so on.
It is very important to develop your own trading strategy, but it is necessary to test a large number of already available and proven strategies. On the Forex blog you will find trading strategies available for download. Before using a live account, test your chosen strategy on the demo account on the MetaTrader trading platform. Conclusion. To successfully trade the Forex currency market, create your own trading strategy. Learn what's new, learn out-of-the-box trading schemes, and improve your individual action plan in the market. Only in this case, the trading results will satisfy you to the fullest. Success, dear readers! >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE Join the community for more articles on trading and making money on the Forex and Stock market. ------------------------------------------------ ------------------------------------------------ Disclosure: This post contains affiliate links, if you click and make a purchase I may receive a commission - This has NO extra cost for you.
Scalping is a type of trading strategy designed to profit from small price changes since the benefits of these transactions are obtained quickly and once an operation has become profitable. All forms of trading require discipline, but because the number of trades is so large, and the profits from each trade are so small, a scalper must rigorously stick to their trading system, to avoid large losses that could eliminate dozens. successful operations. The scalper traders: they will take small profits to take advantage of the gains as they appear. The goal is a successful trading strategy by means of a large number of profitable trades, rather than a few successful trades with large profits. The scalping of the idea of a better risk exposure as the current time each operation is quite short, which reduces the risk of an adverse event that causes a big move. Furthermore, it is considered that smaller movements are easier to achieve than larger movements and that smaller movements are more frequent than larger ones. >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE
The best scalping strategies
Stochastic Oscillator Strategy
Moving average strategy
Parabolic SAR Indicator Strategy
RSI (Relative Strength Index) Strategy
Reddit Forex Scalping Strategies:
1- Scalping trading using the stochastic oscillator
Scalping can be achieved by using the stochastic oscillator. The term stochastic refers to the current price point relative to its range over a recent period of time. When comparing the price of a security with its recent range, a stochastic tries to provide potential changes. The scalping using said oscillator aims to capture the movements of a market trend, ie, one that moves up or down accordingly. Prices tend to close near the extremes of the recent range before a change occurs, as in the example seen below: https://preview.redd.it/7wy3ixui2nw51.png?width=1397&format=png&auto=webp&s=91f50d685dd4841015c51322cee9fb90701aad33 the chart above, for Brent over a three minute period, we can see that the price rises even higher, and the lows in the stochastic (marked with arrows) provide entry points for long trades, when the black line of% K is crosses over with the red dotted line of% D. The operation is exited when the stochastic reaches the maximum value of its range, above 80, when a bearish convergence appears, when the line of% K crosses below with% D. Rather, short positions would be used in a downtrend market, as in the example below. This time, instead of 'buying dips', we are 'selling raises'. Therefore, we will look for a bearish convergence in the direction of the trend, as highlighted below: https://preview.redd.it/y3qqvejs2nw51.png?width=1398&format=png&auto=webp&s=627f3ded47e901c1f9ea97d5416caeea49b9dc3f
2- Scalping using the moving average
Another method is to use moving averages, usually with two relatively short-term and one longer-term to indicate the trend. In the examples below, on a three-minute chart of the EUR / USD pair , we are using 5- and 20-period moving averages in the short term, and a further 200-period moving averages in the long term. In the first chart, the longer-term moving average is rising, so we expect the five-period moving average to cross above the 20-period moving average, and then we take positions in the direction of the trend. These are marked with an arrow. https://preview.redd.it/22jquy1z2nw51.png?width=1499&format=png&auto=webp&s=ed4f724384b86f95dff584c596e25652f23f240d In the second example, the long-term moving average is declining, so we look for short positions when the price crosses below the 5-period moving average, which has already crossed below the 20-period moving average. https://preview.redd.it/0tl7mky23nw51.png?width=1496&format=png&auto=webp&s=ca7b44138901537185d9e0dbd639a799407ced08 It is important to remember that these trades are trending and that we are not trying to find and capture every move. As in any scalping strategy, it is essential to have good risk management with stops, which is vital to avoid large losses that could eliminate many small gains quickly. >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE
3- Scalping with the use of the parabolic SAR indicator
The Parabolic SAR is an indicator that highlights the direction in which the market is moving and also tries to provide entry and exit points. SAR is the acronym for ' stop and reversal ', which means stop and revocation. The indicator is a series of points placed above or below the price bars. One point below the price is bullish and one point above it is bearish. A change in the position of the points suggests that there is going to be a change in trend. The chart below shows the DAX on a five minute chart; You can open short trades when the price moves below the SAR points and long when the price moves above them. As you can see, some trends are quite widespread and at other times a trader will encounter many trades that generate losses. https://preview.redd.it/35uo837g3nw51.png?width=1498&format=png&auto=webp&s=f020a461c6ff1f8d49fab381da0713b1de75dbf7
What do you have to know before starting scalping strategies Reddit?
The scalping requires the trader has an iron discipline, but also very demanding as far as time is concerned. Although long-term times and smaller sizes allow investors to move away from their platforms, given that there are few possible entries and can be controlled remotely, scalping requires the investor's full attention. Possible entry points can appear and disappear very quickly and therefore a trader must be very vigilant about his platform. For individuals who have a day job or other activities, scalping is not necessarily an ideal strategy. On the other hand, long-term operations with higher profit objectives are a more suitable option. It is difficult to execute a successful scalping strategy. One of the main reasons is that many operations need to be performed over time. Some research in this regard usually shows that more frequent investors only lose money faster, and have a negative capital curve. Instead, most investors are more successful and reduce their time commitments to trading, and even reduce stress by using long-term strategies and avoiding scalping strategies. The scalping requires quick responses to market movements and the ability to forgo an operation if the exact moment has passed. 'Chase' trades, along with a lack of stop-loss discipline, are the key reasons why scalpers are often unsuccessful. The idea of only being in the market for a short period of time sounds appealing, but the chances of being stopped out on a sudden move with a quick correction are high. Trading is an activity that rewards patience and discipline. Although those who are successful with scalping do demonstrate these qualities, they are a small number. Most investors do better with a long-term view, smaller position sizes, and a less frenetic pace of activity. >>> Forex Signals With Unbeatable Performance: Verified Forex Results And 5° Rated OnInvesting.com|Free Forex Signals Trial:CLICK HERE TO JOIN FOR FREE
WikiFX: the murky business and the murkier methods
https://preview.redd.it/1rf74ljv34l51.png?width=960&format=png&auto=webp&s=566235871ce22dd3078f0532dfb672bff6eb0707 The irony of financial markets is that this business that officially has got as much regulation as arms trafficking, has also got the same problem –- numerous illegal entities that evolve around the niche. Scam brokers, funds recovery services that rob the robbed traders, HYIPs, “learn how to make millions overnight” trading courses and a number of other schemes all tend to exploit the weak point of human nature – the belief that there is the magic device with the “MORE MONEY” button out there, that someone can sell you.
A thief shouting “Thief!”
Considering the above there is a high demand in society for truthful and unbiased information about the market players. WikiFX claims to be the provider of such honest information about brokers but in fact, makes money by blackmailing brokers and promoting any company that offers to pay enough in their rankings. WikiFX is a classic illustration of a thief shouting “Get the thief!” louder than anybody else in the crowd. The strategy works unfortunately and traders tend to trust WikiFx broker’s ratings without questioning what these ratings are based on and who sponsors this global brokers’ database.
Paving the road with some good intentions
Even the most horrible crimes against humanity were done under the cover of best intentions. Starting with the first crusades and ending with the holocaust. There are always some sound arguments, protected people and reliable methods. Ask any trader whether each forex broker must be regulated by a third party? The answer will be “yes” with a near 100% probability and this answer is totally correct. Know-your-customer procedures and some unbiased third-party control are essential for maintaining the overall transparency of any business in a sphere of finance. This is the argument that WikiFX starts with when promoting its service and there is absolutely no point to argue. Starting with an indisputable truth is a good strategy to win the debate. “The long-term presence on the market adds credibility”, – says WikiFX, and hears “yes” again. “Don’t you agree that the longer the company is in the business, the better?”. “Sure”, – the trader agrees one more time. The mission is completed. This is when the broker ranker can add any other criteria to their appraisal methods. Traders will tend to trust the service because they’ve agreed upon the most important criteria. The rest are minor details. But what if the rest of the appraisal methods are not just minor issues? What if these details can be the means to manipulate the facts as much as they want to?
Can WikiFX appraisal criteria be trusted?
If we take a look at any broker’s WikiFX rating, we can see that the criteria of appraisal are the following:
The year of registration
Regulations
Market Making license
Software license
For example, this is what the top-rated broker’s summary looks like at WikiFX: WikiFX Forex com example https://preview.redd.it/t4ugtbt344l51.png?width=625&format=png&auto=webp&s=95fddf8434faf8938d1a3f18bbd5f1da2ceb47e4 Looks good. Really. Regardless of the attitude to this particular brokerage, the work seems to be done fine. All the regulators are listed below, the information on the used software, licensing, and years of operation is included. But what if we take some other random brokerage with one of the lowest rankings at WikiFX? NinjaTraderBrokerage WIkiFX Ranking https://preview.redd.it/pgyqp0u644l51.png?width=631&format=png&auto=webp&s=eb268faac83608a494c31a39eb1621f7132e3520 This is where the truth reveals itself. Once again, regardless of the attitude to this particular brokerage this is really easy to find out what they do, what licenses they’ve got and what kind of software they use. Suspicious clone? Seriously? If WikiFX staff cared enough to do any investigation prior to stamping that “Suspicious” mark on the brokerage, they would have seen that both domains, nijatrader com and ninjatraderbrokerage com belong to the same entity. NinyaTrader whois data https://preview.redd.it/2097lkw944l51.png?width=563&format=png&auto=webp&s=079cc4248b825a3cd941c6b691a67bb9769f4f7f If they cared enough to collect information on the brokerage from at least one reliable source, like Investopedia or any other similarly known database, they would also have found out that the company not only provides the brokerage service, but also is known for its trading platform with advanced technical analysis tools. But the only trading software that WikiFX considers reliable seems to be MT4/MT5. They simply ignore the fact that trading does not evolve around MetaTrader products, no matter how good and popular they are. WikiFX lowers the score of any brokerage with custom-developed software. We can clearly see this with the above example. Other criteria that WikiFX is proud to use for the broker’s appraisal are regulations. Using the same example let’s see how well they do the appraisal in this field. As you can see above, WikiFX used the “Suspicious Regulatory License” stamp for NinjaTrader Brokerage. And here is what The National Futures Association, that NinjaTrader is registered with as a futures broker has on its record: NFA regulation of NTB proof that WikiFX did not consider to be trustworthy https://preview.redd.it/di8fwkdd44l51.png?width=629&format=png&auto=webp&s=2de618d5df26bd8fcca99c51a6030f4bdfa7f776 We can’t expect every trader to know that any futures broker that wants to operate on the US market must be a member of NFA. This is the requirement of the Commodity Futures Trading Commission regarding the futures broker’s operations. But this is totally unacceptable for a broker ranking website, which WikiFX claims to be, to mark NFA-registered futures brokerage as non-reliable. By the way, did you notice on the above screenshot that NTB has obtained the NFA license in 2004? Yet, this does not prevent WikiFX from claiming that the brokerage has only been providing its services for 1-2 years only, instead of the factual 16 years of operations. We can long discuss the reasons that lie behind such selectivity of WikiFX but this random example clearly shows that any brokerage that provides access to non-forex derivatives trading or dares to suggest custom-developed software to its traders is in danger of receiving a negative review at WikiFX regardless of the factual reliability and regulations.
What lies beneath WikiFX selectivity?
WikiFX claims to have a team of professionals that are all involved in objective appraisal of broker’s services, licenses and used software. The methods used by these professionals remain unrevealed and as we see from the above comparison two similarly reliable brokerages can get any score from 1.0 and up to 10.0 at WikiFX, no matter what regulations they’ve got, for how long they’ve been in the business and what kind of software they use. This is difficult to say what lies behind such selectivity with 100% confidence. The first thing that comes to mind is that WikiFX might be affiliated with some brokers. The hypothesis gets even more realistic if we try to understand who sponsors WikiFX. There are no transparent built-in ads neither on the web-version of the website nor in its applications. There are no paid subscriptions for access to the database. This means that users sponsor the service with neither their attention to ads nor directly. Being the non-charity and non-governmental organization WikiFX can’t be sponsored with donations or a government. The only option that we have left is that brokers sponsor this ranking system directly, which automatically makes the whole system non-reliable and highly biased. The only transparent method that we know WikiFX uses to collect money is sponsorship fees they collect from their offline events participants. Let’s have a look at the exhibitors of the recent WikiFX Expo in Thailand. WikiFX Expo Exhibitors
TLC is a non-regulated investment platform that was founded in 2019
Samtrade FX is not regulated by any of the agencies that WikiFX itself lists as reliable
Forex4you is not regulated by any of the agencies that WikiFX itself lists as reliable
B2 Broker is a non-regulated broker
XDL FX is a non-regulated broker
VAT FX is a non-regulated broker Six out of sixteen WikiFX recent expo exhibitors do not have proper legal status according to the “standards” of WikiFX itself. This fact does not prevent them from promoting the services of these companies at their offline events. This conspicuous fact tells a lot about the attitude of WikiFX to common traders looking for reliable partners. Reputation is nothing but a sale item for this brokers’ ranking system.
Murky & Murkier
So far we’ve only discussed the facts that anyone can check himself using free tools and sources. It was not that difficult to discover that WikiFX uses non-transparent standards for brokers’ appraisal. It ignores the specifics of some brokerages lowering their scores due to non-standard derivatives they offer to trade or custom trading software. It also promotes non-regulated and non-licensed brokerages, which is 100% against the declared WikiFX values and mission. The rumors are that this company was also noticed blackmailing brokers with the purpose of making them pay for better reviews at WikiFX. There are also some signs that indicate suspicious promotion of WikiFX platform through social media and Quora. Some of the WikiFX positive reviews also look highly suspicious. All of the above is a matter of further investigation. Nevertheless, thousands of users keep relying on the information provided by this scam ranking system. It may even look like all these users are satisfied. WikiFX has got 4.5 starts at Google Play, which sounds good enough. However, positive WikiFX reviews use similar semantics and are also highly suspicious. Despite the high average grade, Google Play finds the following messages to be most relevant and brings them to the top of WikiFX reviews: Google Play most relevant WikiFX reviews https://preview.redd.it/kftutvcl44l51.png?width=532&format=png&auto=webp&s=1ccb74ee156388285a2fab711dd604945c04377c
You’ve got the facts now and it’s time to make your own conclusions.
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Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are. TL;DR at the bottom for those not interested in the details. This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.
Background
For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX! I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose. This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem. I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.
System Details
I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
Raw Winrates:
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker. EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.
A Note on Spread
As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits. Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way). However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades. You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term. Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.
Time of Day
Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either. On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate. That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.
Moving stops up to breakeven
This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers. Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability. One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)? Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate: 46.4%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate: 65.97%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right? Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert. I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall. The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.
2-Candle vs Confirmation Candle Stops
Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it. Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL. Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.
Correlated Trades
As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular. Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system. This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here). Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses. Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels). Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant. One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak. EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
Total Trades: 75
Raw Winrates:
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much. I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system. This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions. There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated. I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful. Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.
What I will trade
Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Winrate: 58.19%
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
Raw Data
Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.) I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Pairs
AUD/CAD
AUD/CHF
AUD/JPY
AUD/NZD
AUD/USD
CAD/CHF
CAD/JPY
CHF/JPY
EUAUD
EUCAD
EUCHF
EUGBP
EUJPY
EUNZD
EUUSD
GBP/AUD
GBP/CAD
GBP/CHF
GBP/JPY
GBP/NZD
GBP/USD
NZD/CAD
NZD/CHF
NZD/JPY
NZD/USD
USD/CAD
USD/CHF
USD/JPY
TL;DR
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Winrate: 58.19%
Adjusted Proft % (takes spread into account): 47.43%
Demo Trading Results
Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc). A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade. I'm heading out of town next week, then after that it'll be time to take this sucker live!
86 Trades
Date range: 7/9-7/30
Winrate: 52.32%
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
How much money would it cost to setup high-frequency trading?
I worked with many HFT startups and I have a pretty good idea of the initial costs that such trading shops have. Data: High-frequency strategies are data-intensive, so you need to get the best data providers at the tick level (level 3). That’s expensive. Depending on the market you are in (forex, futures, bonds, etc) the cost could vary. FX is even more complex, because of its highly fragmented nature, so they will need to have a broad view of all of them. Each provider cost could start from $5k per month each, up to $50k per month Servers: You will need power. A decent server (please don’t use the cloud), could cost you 20k at least. It needs to have 32-cores at least. You can rent a dedicated server, and its cost could start from $2k per month Collocation: That powerful server must be placed inside a collocated environment. The idea is to reduce the latency as much as you can, so being close to the exchanges/venues is the best choice. These data centers will charge you for your server space and for the connectivity you use (cross-connection). This varies considerably depending on the markets you are in. Software: this would be the most expensive piece of your setup. Remember, that the software is the brain of your operation. Not only needs to get ALL the data from the exchanges/venues but normalize it, store it, manipulate it, and prepare it to be consumed by your strategies(s) that will be doing tons of different calculations based on the data they receive. And all that must be done in a fraction of milliseconds (hopefully within 10–50 microseconds) On top of that, you must be sure, that you will have all the different modules in place: price aggregators, order management systems (OMS), execution management systems (EMS), smart order routing (SOR), liquidity manager (LM), risk management systems (RMS). and any interface you may need (to databases, storage, monitoring systems, reporting, etc) Cost-wise, all of this will depends on what you choose. If you go with an off-the-shelf solution (not recommended, cheaper, you don’t own anything, slow), or you start your own development (time to market +1 year, very costly). The cost could vary between $300K to $1M People: you will need human resources. This is not a one-guy operation. You will need to have software engineers, quantitative analysts, and researchers. Think about 150k /year at the low end. Brokers/Prime Brokers: you will need to open up a brokerage account to have access to the trading venues. They will require you to have a minimum capital to trade (besides the commissions/fees they may charge). So, that adds up to your initial setup cost. Conclusions It’s a very lucrative business but is hard to get started. Usually, startups try to start small and grow as they see profits, but that always falls into failure. If you do that, you will fail to have all the above points I’ve listed. Your initial investment is high, and keeping in mind that after having all these startup costs, all your infrastructure in place, and the software ready to run, your first profitable trades could start to come in after 6 to 12 months of operations. I hope my question is not as vague as the others… Please, let me know if I was missing something else, so we can add it to this list 😎 Ariel Silahian http://www.sisSoftwareFactory.com/blog
Follow results here. Starting Fee - $270 Starting Funding - $6,000 Live Account - Yes Required Profit to Pass - $375 Duration - Minimum of 20 days. Maximum time of 6 months to hit profit target.
Risk Restrictions
Maximum Net Loss - $250 Maximum Risk in Stop Loss - 1.5% Maximum Size of Position - 0.30 lots Hold Overnight - Yes Hold Over Weekend - Yes News Trading Restrictions - News trading is not strictly prohibited.
Notes
5%ers give you a live account from sign up. You can trade and begin to build up real earnings on day one. To qualify to be paid you need to pass the evaluation phase by hitting 6% ($375) profit. It takes at least 20 days to pass (Even if you hit target early) and you have up to 6 months to do it (So it can be passed with an average of 1% a month). 5%ers have a liberal approach to trader flexibility. The only hard and fast rule that needs to be followed is the maximum net loss. This is 4% of the starting balance (Making this far easier than high water mark systems). Traders can use some discretion on their money management to achieve this, but more aggressive trading will mean your profit targets to progress will increase. Using conservative risk (Complying with the risk restrictions listed above) can lead to lower profit targets to progress (And account size doubles each time you hit a profit target, so this is a good thing). 5%ers main form of communication with their traders is via email. You're expected to give an active email address that you will check regularly and to respond to any messages in a timely manner.
Thoughts on Passing 5%ers Forex Funding Evaluation Stage
For experienced traders passing the evaluation stage should be easy enough and something that can be done within 3 months (Or quicker, depending on strategy and market conditions). The fact the 4% drawdown limit is off the starting balance and not a trailing high water mark give a lot of leeway for a good trader if they can get a bit ahead. For somewhat experienced traders passing the evaluation stage is achievable if you can apply solid risk management and a strategy that has a winning edge. Having 6 months in which to complete it and the only stipulation if you can not lose $250 off the starting $6,000 mean as long as you keep lot sizing small you can stay alive long enough to hit the target. For new traders since trading in general is hard, you're going to find stipulated risk conditions very hard. There is a fair chance for newer traders to pass this (Given it's a lot target over 6 months) but there is a higher likelihood of not passing, meaning you lose your $270 evaluation fee. I do not know the stats, but I'd assume a lot of new traders do not pass. It's probably worth getting experience first.
On boarding Process
Getting started with 5%ers Forex funding was and smooth on boarding. I made my payment via PayPal of $270. I was sent a welcome email and details to log into a back office. My account was processing for a while, and then after 30 minutes to an hour I was sent MT4 login details to a funded account of $6,000 with a $250 loss limit. I could trade within 2 hours of signing up.
Reward on Pass
Get paid 50% of the profits made. Account is increased 400% to $24,000. Each 10% made the account will be doubled again up to a maximum of $1.25 million.
With Bitcoin Suddenly Surging, Canaan Stock Is Also Going Up Today
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