Automated trading forex, stock or crypto (bitcoin, ethereum, litecoin etc).. HFT and any other auto strategies and softwares.
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I'm new to the forex trading and one of the advices that I often come across is to always backtest a strategy first. submitted by
First thing that came to mind is to just go through the chart and start moving forward, simulating a trade and logging if the strategy wins or loses. I actually did this in a 15M chart for a range of 3 months, and while the results were enlightening (my strategy sucked only 36% win rate for that pair and strategy), I found the process very tedious.
So my question is are there automated ways to back test a strategy? Like maybe excel or an application?
I was looking into mt5 and expert advisors the other day, and I tried the strategy tester using a free expert advisor. Should I create a script that mimics my strategy and test it using mt5? I have a bit of programming but I don't know where to start.
I am a Software Engineer / Data Scientist and I decided to give a go at automating a strategy
based on the ParallaxFX
strategy floating around and backtests the results, also due to some inspiration by Vanguer
I backtested on the majors 4H timeframe between January 2015 to January 2020.
I am only considering trades from the top and bottom bands for now.
My trading criteria is: Upper Band
- open and close above the band
- Stochastic above 0.8
- Closes > 38.2 fib (or 'below' the 38.2 fib)
- Has lower low than indecision
- Has lower close than indecision
- TP is above the lower band
- open and close below the band
- Stochastic below 0.2
- Closes > 38.2 fib (or 'above' the 38.2 fib)
- Has higher high than indecision
- Has higher close than indecision
- TP is below the upper band
Entry: 38.2 Fib
Stop Loss: 100 Fib
Take Profit: -161.8 Fib
If a candle meets my trade criteria I open the trade and forget about it.
I started with a balance of 500 EUR and a risk of 1%. The results use compound gain / loss and I only considered one currency pair at a time.
The results were not that impressive...
- Trades: 29
- Wins: 10
- Losses: 19
- Balance: 567.45
- Trades: 29
- Wins: 7
- Losses: 22
- Balance: 500.92
- Trades: 25
- Wins: 5
- Losses: 20
- Balance: 479.55
- Trades: 26
- Wins: 6
- Losses: 20
- Balance: 495.07
- Trades: 22
- Wins: 4
- Losses: 18
- Balance: 473.90
- Trades: 28
- Wins: 7
- Losses: 21
- Balance: 505.98
Due to this being automated I can test a variety of parameters pretty quickly and come back with trading screenshots, results, etc.
I am considering a higher timeframe but the number of trades is already fairly low.
Here is a link to a Google Drive (https://drive.google.com/drive/folders/16cO0ZSCGakkbK90lh-FBIC3ZJIxOj9fI?usp=sharing
) with screenshots from each trade and a log of the system as it makes the trades. The candles highlighted in yellow / purple are where the trade is entered. I do not have the picture marked as a win / lose but it should be obvious by the candle formation.
Strategy Results - http://www.myfxbook.com/members/DeanBlack/client-copy-medhigh/7422920 All results are tracked on real client accounts to show the net results after fees. The brokers with the highest spreads are use, to give a reflection of the worst expected results.
Who is This Strategy For?
This strategy is for you if you have a higher risk tolerance and are looking for an investmen tment with higher liquidity. This is an intraday strategy that will close all trades by the end of the US trading session making all equity available to investors at the end of each trading day. Brokerage Requirements:
This strategy trades CFDs and is not suitable for US / Canada residents. Brokers offering CFDs on indices (Specifically the S&P500) is a requirement.
: The strategy is confirmed to work on the following brokers;
: IC Markets
(Best results). RoboForex Minimum Investment:
$650 minimum is optimal for these risk settings. Anything under $500 will be higher risk. Anything under $400 failed all tests on this and is strongly discouraged. Leverage Required:
This strategy requires 1:50 leverage (With a minimum $650 investment). Average Duration of trades:
Trades will be held usually 2 - 12 hours and close on the same day they are opened.
The strategy will risk a maximum of 5% over all positions at any one time. If the strategy has been losing the maximum risk per position will be decreased. If over 30% drawdown the maximum risk will be 2.5%. If over 40% drawdown the maximum risk will be 1.5%.
Note, this refers to the parent strategy. Not individual copiers. If you connect a new account while the strategy is 10% down you will start on reduced risk although your account is not down. This measure is in place to protect the accounts of all investors and make the strategy stable to support long term compounding of gains. Maximum Loss:
This strategy will stop trading if a loss of 65% (From high water mark) is hit. It will stop trading for at least three days to give the investors time to decide if they want to continue and the trading team time to check if adjustments to the strategy;s copier settings need to be made. Automatic Stop on Loss
: This strategy has an automated stop loss on trading at 65%. At 35% the copying software will shut down, all trades will be closed and no new trades opened for a period of at least 3 days.
Strategy Results -http://www.myfxbook.com/members/DeanBlack/client-copy-medhigh/7422920 All results are tracked on real client accounts to show the net results after fees. The brokers with the highest spreads are use, to give a reflection of the worst expected results.
Factset: How You can Invest in Hedge Funds’ Biggest Investment Tl;dr FactSet is the most undervalued widespread SaaS/IT solution stock that exists submitted by
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
, 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
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:
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.
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.
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