What is Algorithmic Trading in Forex? - Securities.io

Algominr

An algorithmic trading platform for machine learning, rapid prototyping, automatic code generation and more. www.algominr.com
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Algorithmic Trading

A place for redditors to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies, and bounce ideas off each other for constructive criticism. Feel free to submit papers/links of things you find interesting.
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[Download] Udemy – Algorithmic Trading In Forex: Create Your First Forex Robot

Learn to program in MQL4 and develop, test, and optimize your own algorithmic trading systems. This course assumes no prior programming or Forex knowledge, just a desire to learn and be successful
http://scenep2p.com/e-books/video-training/3662-udemy-algorithmic-trading-in-forex-create-your-first-forex-robot.html
submitted by scenep2p to scenep2p [link] [comments]

Demystifying Algorithmic Trading in the Forex World - Markets Media

fintech #trading #algotrading #quantitative #quant #forex #fx #algorithmic

Demystifying Algorithmic Trading in the Forex WorldThis is the first article in a series sponsored by Thomson Reuters Is the time ripe now for using algorithms to trade foreign exchange?
After decades of being used to trade equities and equity derivatives, and as institutional money managers move away from equities and into new asset classes such as forex, can algorithmic trading strategies be incorporated? Equity algorithms have had tremendous lead time to be built, adjusted and implemented in trading. Not to mention that equity algorithms have evolved from the simplest volume-based to the most complex that adjust themselves when seeking liquidity.
But there is a world of difference between the equity markets and the foreign exchange markets. In stocks, there are myriad public and private trading venues from which to use algorithms – upwards of 40 while the forex market is traded by or on a handful of bank trading desks – also known also known as a principal bank trading market.....
Continue reading at: https://www.marketsmedia.com/demystifying-algorithmic-trading-in-the-forex-world/
submitted by silahian to quant_hft [link] [comments]

#VelocityFinderNeuralTrader works with a unique proprietary algorithm and a state of the art #neuraltechnology.It processes more than 200 calculations in seconds and gives you more accurate inputs.The quality justifies the price! https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/

#VelocityFinderNeuralTrader works with a unique proprietary algorithm and a state of the art #neuraltechnology.It processes more than 200 calculations in seconds and gives you more accurate inputs.The quality justifies the price! https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/ submitted by Wetalktrade to u/Wetalktrade [link] [comments]

Demystifying Algorithmic Trading in the Forex World - Markets Media

fintech #trading #algotrading #quantitative #quant #forex #fx #algorithmic

Demystifying Algorithmic Trading in the Forex WorldThis is the first article in a series sponsored by Thomson Reuters Is the time ripe now for using algorithms to trade foreign exchange?
After decades of being used to trade equities and equity derivatives, and as institutional money managers move away from equities and into new asset classes such as forex, can algorithmic trading strategies be incorporated? Equity algorithms have had tremendous lead time to be built, adjusted and implemented in trading. Not to mention that equity algorithms have evolved from the simplest volume-based to the most complex that adjust themselves when seeking liquidity.
But there is a world of difference between the equity markets and the foreign exchange markets. In stocks, there are myriad public and private trading venues from which to use algorithms – upwards of 40 while the forex market is traded by or on a handful of bank trading desks – also known also known as a principal bank trading market.....
Continue reading at: https://www.marketsmedia.com/demystifying-algorithmic-trading-in-the-forex-world/
submitted by silahian to quant_hft [link] [comments]

Trading alongside the algorithm in forex. Perfect set up with the signal today. I love taking one trade per week and letting it ride till Thursday/ Friday

Trading alongside the algorithm in forex. Perfect set up with the signal today. I love taking one trade per week and letting it ride till Thursday/ Friday submitted by trevandezz to u/trevandezz [link] [comments]

The convenient #technicalindicator you would like! And this #VelocityFinderNeuralTrader works with modern technology and a unique algorithm. Get now the #norepaintindicator https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/ See the proof for 50 #pips in #EURJPY.

The convenient #technicalindicator you would like! And this #VelocityFinderNeuralTrader works with modern technology and a unique algorithm. Get now the #norepaintindicator https://wetalktrade.com/velocity-finder-best-forex-trading-strategies/ See the proof for 50 #pips in #EURJPY. submitted by Wetalktrade to u/Wetalktrade [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 3 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 3 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 4 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 4 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 2 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 2 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 1 of 10

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python Part 1 of 10 submitted by trendypips to u/trendypips [link] [comments]

Watch Video: Creating Deep Learning Algorithm For Forex Trading in Python & Tensorflow Part 6 of 10

submitted by trendypips to u/trendypips [link] [comments]

I'm looking for legitimate track records of any forex algorithms that have consistently generated 100%+ returns in live trading.

Not looking for the record of scalping bots, arbitrage bots or martingale betting systems.
I'm wondering if there's anyone out there that has been able to consistently generate 100%+ returns live trading with a forex expert advisor.
Looking to compare strategies.
submitted by darbsllim to algotrading [link] [comments]

Python for Finance: Mastering Data-Driven Finance

I am looking for a study/developing partner I am about to start new journey in Finance (forex & stocks especially) and its application using python as start to automate many financial tasks and process. I will start with this book Python for Finance: Mastering Data-Driven Finance by Yves Hilpisch the book looks amazing and it has almost complete set of skills that needed by any beginner. here's a link of the book https://www.amazon.com/Python-Finance-Mastering-Data-Driven/dp/1492024333 it includes: Python, financial analysis and algorithmic trading no prior experience needed, the book covers everything from scratch. About me.. I am a python developer with more than 5 years of experience in automation and scraping, data analysis....
submitted by amralaaalex to ProgrammingPals [link] [comments]

Average annual returns from trading

Hi,
I am buy and hold investor and I own 100+ stocks.
I started short term trading few years ago, mainly for educational purposes, either swing trades with stocks in my portfolio or speculations with stocks and ETFs. Just basic technical and fundamental analysis, StockTwits, most of the time guessing and pure luck :-) I won't bet my living on this income.
I know a guy who has been trading options for several years and his average annual return is ~18%. He works 2 hours every workday on trading. He claims that using his strategy risk is very low and the 18% is a good result for his low-risk low-volatility strategy.
On the other hand I know a guy who has been trading on Forex using lot of algorithmic trading SW for his trades and last year he gave up on this and he said that this is barely profitable comparing to like 2010 when he started to doing it.
So I am curious what is the real expectation (from long term view) of annual return if I decide to start trading for living every day for two hours. (Considering I will educate my self and get better, I am not expecting this from the day one, even from the year one probably)
I started to consider this (Options trading) after I talked with the guy because using my current cash capital gaining 18% annual return working two hours a day? Much better hourly rate then my current job, much more free time and still decent living.
submitted by calmint to Trading [link] [comments]

Coding a trading bot - which broker to use?

Hi everyone,
New to the community here.
I am looking to code a trading bot to trade stocks.
I'm very new to algorithmic trading, I have some coding experience from highschool and university (excel VBA) and I want to start trading as a way to grow my money. I also enjoy programming and my neighbor claims he makes good money trading forex using an algorithm, so I thought if he could do it, so can I.
I want to use interactive brokers because of their low commissions and python because of it's wide application (in other things), however I've read getting interactive broker to work with python is difficult. What are some of the other brokers that are comparable/better than IBKR for algotrading?
Is trying to use python the wrong approach or should I just be open to using other languages?
I want to trade stocks because of all the instruments out there, I know the most about stocks. I'll be coming back to this forum so I appreciate any and all help I can get!
submitted by GTR3499 to algotrading [link] [comments]

THROW YOUR FD's in FDS

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.
submitted by WannabeStonks69 to wallstreetbets [link] [comments]

APIs offered by brokers and data platforms

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.

Platform Notes
ADM Investor Services No API
Ally Invest Does not support futures instruments
Alpaca Only supports US Equities
Alpha Vantage Does not support futures instruments
AMP Broker with a huge number of platforms available including some with APIs
ApexFutures No API
Arcade Trader No API
AvaTrade Does not support futures instruments
Backtrader Not a data feed; otherwise looks cool but also looks like a one-man shop
Cannon Trading Broker with a variety of platforms, some have API access such as TT
Centerpoint No API
Charles Schwab API does not support futures instruments
Cobra No API
Daniels Trading No API
Discount Trading Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Edge Clear Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
Eroom Now part of Dashprime. Offer a variety of APIs including CQG, TT, CBOE's Silexx, and others via FIX.
ETNA Trader Only supports equities, options (including multi-legs), ETFs, Mutual Funds (Forex with cryptocurrencies coming soon)
ETrade API seems robust but OAuth authorization needs to be refreshed via login once per 24 hours
Futures Online No API
Gain Capital Futures API available, based on .NET; unsure if they are open to retail clients
GFF Brokers Broker with a large number of platforms including some with API access
High Ridge Futures Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
iBroker API available; contact them for more info
IEX Cloud Looks great but does not support futures instruments
Infinity Futures JSON API available; contact them for more info
Interactive Brokers Client Web API looks promising if clunky
Intrinio Supports futures instruments but is expensive
Koyfin No API
Lightspeed C++ API available
marketstack API for equities available. Does not support futures instruments.
Medved Trader Windows app with a streaming API to various data sources and brokers. See comment below about API beta access.
NinjaTrader Does not support futures options
Norgate Data Not a broker; supports futures data for $270/year
Oanda Forex only; API last updated in 2018
Optimus Futures Broker with a large number of available platforms including some with API access
Phillip Capital Broker with a large number of available platforms including some with API access
polygon.io Expensive but looks slick; does not support futures instruments
Quandl API looks solid; $49/monthly for personal use, does not allow distributing or sharing data; not a broker
Quantconnect Does not expose raw data
Quantopian Does not expose raw data
Quantower Software that connects to multiple brokers and data feeds; API to their software via C# interface
Saxo Markets Broker with extensively documented API
Stage 5 Trading API available through Trading Technologies
Straits Financial Broker with several platforms available including some with APIs such as CQG, R
Sweet Futures Broker with a large number of available platforms including some with API access
TastyWorks There's an unofficial Python API
TenQuant.io Does not support futures instruments
ThinkorSwim Does not support futures instruments via the API
Tiingo Free account tier but does not support futures instruments
TradePro Broker with a number of platforms available; unclear if any are available with API access
Tradier Free developer API account for delayed data but does not support futures instruments
TradeStation Nice looking API docs and supports futures instruments; requires opening an account and a minimum balance of $100k and there’s no trial available
TradeFutures4Less Broker with a variety of platforms including CQG, Rithmic, TT, some with APIs
TradingTechnologies API looks robust; pricing starts at $700/month
TradingView Does not expose data API
Tradovate Technologies API exists, documentation unknown; need to talk to their account team
Wedbush Futures Broker with several platforms offered, a few of which have API access
WEX .NET/COM only; pricing not disclosed on website
Xignite Pricing not disclosed on website but they do support futures instruments
Yahoo Finance API Available through RapidAPI or via direct access; but it’s discontinued and unreliable
Zaner 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
submitted by theloniusmunch to thewallstreet [link] [comments]

The future of forex trading

Clickbait-y title but I wanted to open up a discussion to how the markets will change in the future. Namely how algorithmic trading and machine learning will affect it. Is it possible that forex traders will become obsolete as AI catches up?
Personally I feel like if everyone uses AI, there is no longer any edge, meaning human trading becomes profitable. But, instead of guessing market sentiment, you guess AI predictions. Maybe I'm in denial about my career lol but curious as to what your thoughts are.
submitted by multi1290 to Forex [link] [comments]

Forex

So I keep seeing posts about people bragging about their earnings in the market and I wanted to know if it was possible to make a profit without the MLM elements of forex in the markets. I found some forex courses online, including an algorithmic approach to trading. I was considering trading exclusively, without having to try to convince people to join something they more than likely would fail as I'm sure I would fail in the MLM aspect too.
submitted by MacDub840 to antiMLM [link] [comments]

Monthly Performance Discussion

Monthly Performance Discussion

https://preview.redd.it/e5n8a9bpggw51.png?width=1644&format=png&auto=webp&s=b55191100dbdb9fda112c2c0dfc5871ff50aafd0
I see a lot of people posting one-off trades on this subreddit, which aren't really representative of much in Forex. So I am posting a month of performance data, in the hopes that others do the same to start a discussion around longer-term performance.
  1. This was taken from my FX Blue account which tracks this trading account via Mt4 (for those unaware and want to give it a try).
  2. I should say that I am not taking the trades myself, the trades were done by an algorithm I programmed. It closes all trades on Friday hence the sometimes sharp declines in the balance. For anyone interested it is a simple trend-following strategy with some secret sauce.
  3. This month was very choppy (from my perspective) and it was quite evident in my equity.
  4. The account is a 1:100 leverage account but the strategy doesn't use more than 1:20. (Risk Management)
  5. The performance ended at +2.2% for the month (on a large account balance). I think this is important for people to see/know. Many newbies want to do 50% in a month and more power to them if they can over a long period of time.
  6. I trade 7 currency pairs (NZDUSD, EURUSD, AUDUSD, USDCHF, EURJPY, GBPUSD, AUDCAD). Although GBPUSD has been very mean to me the last three months I may remove him lol.
  7. The portfolio traded 202 trades.
  8. I must have spent 1 hour this month involved with it, which makes me happy.
As you can see you need a strong stomach to trade my strategy lol.
How has October been for you? How many trades did you take? What's your performance like? What do you think of my performance? (I know the equity curve sucks but *shrug* I'm fine with it)
submitted by lifealumni to Forex [link] [comments]

Factset DD

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.
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