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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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Some trading wisdom, tools and information I picked up along the way that helped me be a better trader. Maybe it can help you too.

Its a bit lengthy and I tried to condense it as much as I can. So take everything at a high level as each subject is has a lot more depth but fundamentally if you distill it down its just taking simple things and applying your experience using them to add nuance and better deploy them.
There are exceptions to everything that you will learn with experience or have already learned. If you know something extra or something to add to it to implement it better or more accurately. Then great! However, my intention of this post is just a high level overview. Trading can be far too nuanced to go into in this post and would take forever to type up every exception (not to mention the traders individual personality). If you take the general information as a starting point, hopefully you will learn the edge cases long the way and learn how to use the more effectively if you end up using them. I apologize in advice for any errors or typos.
Introduction After reflecting on my fun (cough) trading journey that was more akin to rolling around on broken glass and wondering if brown glass will help me predict market direction better than green glass. Buying a $100 indicator at 2 am when I was acting a fool, looking at it and going at and going "This is a piece of lagging crap, I miss out on a large part of the fundamental move and never using it for even one trade". All while struggling with massive over trading and bad habits because I would get bored watching a single well placed trade on fold for the day. Also, I wanted to get rich quick.
On top all of that I had a terminal Stage 4 case of FOMO on every time the price would move up and then down then back up. Just think about all those extra pips I could have trading both directions as it moves across the chart! I can just sell right when it goes down, then buy right before it goes up again. Its so easy right? Well, turns out it was not as easy as I thought and I lost a fair chunk of change and hit my head against the wall a lot until it clicked. Which is how I came up with a mixed bag of things that I now call "Trade the Trade" which helped support how I wanted to trade so I can still trade intra day price action like a rabid money without throwing away all my bananas.
Why Make This Post? - Core Topic of Discussion I wish to share a concept I came up with that helped me become a reliable trader. Support the weakness of how I like to trade. Also, explaining what I do helps reinforce my understanding of the information I share as I have to put words to it and not just use internalized processes. I came up with a method that helped me get my head straight when trading intra day.
I call it "Trade the Trade" as I am making mini trades inside of a trade setup I make from analysis on a higher timeframe that would take multiple days to unfold or longer. I will share information, principles, techniques I used and learned from others I talked to on the internet (mixed bag of folks from armatures to professionals, and random internet people) that helped me form a trading style that worked for me. Even people who are not good at trading can say something that might make it click in your head so I would absorbed all the information I could get.I will share the details of how I approach the methodology and the tools in my trading belt that I picked up by filtering through many tools, indicators strategies and witchcraft. Hopefully you read something that ends up helping you be a better trader. I learned a lot from people who make community posts so I wanted to give back now that I got my ducks in a row.
General Trading Advice If your struggling finding your own trading style, fixing weakness's in it, getting started, being reliably profitable or have no framework to build yourself higher with, hopefully you can use the below advice to help provide some direction or clarity to moving forward to be a better trader.
  1. KEEP IT SIMPLE. Do not throw a million things on your chart from the get go or over analyzing what the market is doing while trying to learn the basics. Tons of stuff on your chart can actually slow your learning by distracting your focus on all your bells and whistles and not the price action.
  2. PRICE ACTION. Learn how to read price action. Not just the common formations, but larger groups of bars that form the market structure. Those formations carry more weight the higher the time frame they form on. If struggle to understand what is going on or what your looking at, move to a higher time frame.
  3. INDICATORS. If you do use them you should try to understand how every indicator you use calculates its values. Many indicators are lagging indicators, understanding how it calculates the values can help you learn how to identify the market structure before the indicator would trigger a signal . This will help you understand why the signal is a lagged signal. If you understand that you can easily learn to look at the price action right before the signal and learn to watch for that price action on top of it almost trigging a signal so you can get in at a better position and assume less downside risk. I recommend using no more than 1-2 indicators for simplicity, but your free to use as many as you think you think you need or works for your strategy/trading style.
  4. PSYCOLOGY. First, FOMO is real, don't feed the beast. When you trade you should always have an entry and exit. If you miss your entry do not chase it, wait for a new entry. At its core trading is gambling and your looking for an edge against the house (the other market participants). With that in mind, treat as such. Do not risk more than you can afford to lose. If you are afraid to lose it will negatively effect your trade decisions. Finally, be honest with your self and bad trading happens. No one is going to play trade cop and keep you in line, that's your job.
  5. TRADE DECISION MARKING: Before you enter any trade you should have an entry and exit area. As you learn price action you will get better entries and better exits. Use a larger zone and stop loss at the start while learning. Then you can tighten it up as you gain experience. If you do not have a area you wish to exit, or you are entering because "the markets looking like its gonna go up". Do not enter the trade. Have a reason for everything you do, if you cannot logically explain why then you probably should not be doing it.
  6. ROBOTS/ALGOS: Loved by some, hated by many who lost it all to one, and surrounded by scams on the internet. If you make your own, find a legit one that works and paid for it or lost it all on a crappy one, more power to ya. I do not use robots because I do not like having a robot in control of my money. There is too many edge cases for me to be ok with it.However, the best piece of advice about algos was that the guy had a algo/robot for each market condition (trending/ranging) and would make personalized versions of each for currency pairs as each one has its own personality and can make the same type of movement along side another currency pair but the price action can look way different or the move can be lagged or leading. So whenever he does his own analysis and he sees a trend, he turns the trend trading robot on. If the trend stops, and it starts to range he turns the range trading robot on. He uses robots to trade the market types that he is bad at trading. For example, I suck at trend trading because I just suck at sitting on my hands and letting my trade do its thing.

Trade the Trade - The Methodology

Base Principles These are the base principles I use behind "Trade the Trade". Its called that because you are technically trading inside your larger high time frame trade as it hopefully goes as you have analyzed with the trade setup. It allows you to scratch that intraday trading itch, while not being blind to the bigger market at play. It can help make sense of why the price respects, rejects or flat out ignores support/resistance/pivots.
  1. Trade Setup: Find a trade setup using high level time frames (daily, 4hr, or 1hr time frames). The trade setup will be used as a base for starting to figure out a bias for the markets direction for that day.
  2. Indicator Data: Check any indicators you use (I use Stochastic RSI and Relative Vigor Index) for any useful information on higher timeframes.
  3. Support Resistance: See if any support/resistance/pivot points are in currently being tested/resisted by the price. Also check for any that are within reach so they might become in play through out the day throughout the day (which can influence your bias at least until the price reaches it if it was already moving that direction from previous days/weeks price action).
  4. Currency Strength/Weakness: I use the TradeVision currency strength/weakness dashboard to see if the strength/weakness supports the narrative of my trade and as an early indicator when to keep a closer eye for signs of the price reversing.Without the tool, the same concept can be someone accomplished with fundamentals and checking for higher level trends and checking cross currency pairs for trends as well to indicate strength/weakness, ranging (and where it is in that range) or try to get some general bias from a higher level chart that may help you out. However, it wont help you intra day unless your monitoring the currency's index or a bunch of charts related to the currency.
  5. Watch For Trading Opportunities: Personally I make a mental short list and alerts on TradingView of currency pairs that are close to key levels and so I get a notification if it reaches there so I can check it out. I am not against trading both directions, I just try to trade my bias before the market tries to commit to a direction. Then if I get out of that trade I will scalp against the trend of the day and hold trades longer that are with it.Then when you see a opportunity assume the directional bias you made up earlier (unless the market solidly confirms with price action the direction while waiting for an entry) by trying to look for additional confirmation via indicators, price action on support/resistances etc on the low level time frame or higher level ones like hourly/4hr as the day goes on when the price reaches key areas or makes new market structures to get a good spot to enter a trade in the direction of your bias.Then enter your trade and use the market structures to determine how much of a stop you need. Once your in the trade just monitor it and watch the price action/indicators/tools you use to see if its at risk of going against you. If you really believe the market wont reach your TP and looks like its going to turn against you, then close the trade. Don't just hold on to it for principle and let it draw down on principle or the hope it does not hit your stop loss.
  6. Trade Duration Hold your trades as long or little as you want that fits your personality and trading style/trade analysis. Personally I do not hold trades past the end of the day (I do in some cases when a strong trend folds) and I do not hold trades over the weekends. My TP targets are always places I think it can reach within the day. Typically I try to be flat before I sleep and trade intra day price movements only. Just depends on the higher level outlook, I have to get in at really good prices for me to want to hold a trade and it has to be going strong. Then I will set a slightly aggressive stop on it before I leave. I do know several people that swing trade and hold trades for a long period of time. That is just not a trading style that works for me.
Enhance Your Success Rate Below is information I picked up over the years that helped me enhance my success rate with not only guessing intra day market bias (even if it has not broken into the trend for the day yet (aka pre London open when the end of Asia likes to act funny sometimes), but also with trading price action intra day.
People always say "When you enter a trade have an entry and exits. I am of the belief that most people do not have problem with the entry, its the exit. They either hold too long, or don't hold long enough. With the below tools, drawings, or instruments, hopefully you can increase your individual probability of a successful trade.
**P.S.*\* Your mileage will vary depending on your ability to correctly draw, implement and interpret the below items. They take time and practice to implement with a high degree of proficiency. If you have any questions about how to do that with anything listed, comment below and I will reply as I can. I don't want to answer the same question a million times in a pm.
Tools and Methods Used This is just a high level overview of what I use. Each one of the actions I could go way more in-depth on but I would be here for a week typing something up of I did that. So take the information as a base level understanding of how I use the method or tool. There is always nuance and edge cases that you learn from experience.
Conclusion
I use the above tools/indicators/resources/philosophy's to trade intra day price action that sometimes ends up as noise in the grand scheme of the markets movement.use that method until the price action for the day proves the bias assumption wrong. Also you can couple that with things like Stoch RSI + Relative Vigor Index to find divergences which can increase the probability of your targeted guesses.

Trade Example from Yesterday This is an example of a trade I took today and why I took it. I used the following core areas to make my trade decision.
It may seem like a lot of stuff to process on the fly while trying to figure out live price action but, for the fundamental bias for a pair should already baked in your mindset for any currency pair you trade. For the currency strength/weakness I stare at the dashboard 12-15 hours a day so I am always trying to keep a pulse on what's going or shifts so that's not really a factor when I want to enter as I would not look to enter if I felt the market was shifting against me. Then the higher timeframe analysis had already happened when I woke up, so it was a game of "Stare at the 5 min chart until the price does something interesting"
Trade Example: Today , I went long EUUSD long bias when I first looked at the chart after waking up around 9-10pm Eastern. Fortunately, the first large drop had already happened so I had a easy baseline price movement to work with. I then used tool for currency strength/weakness monitoring, Pivot Points, and bearish divergence detected using Stochastic RSI and Relative Vigor Index.
I first noticed Bearish Divergence on the 1hr time frame using the Stochastic RSI and got confirmation intra day on the 5 min time frame with the Relative Vigor Index. I ended up buying the second mini dip around midnight Eastern because it was already dancing along the pivot point that the price had been dancing along since the big drop below the pivot point and dipped below it and then shortly closed back above it. I put a stop loss below the first large dip. With a TP goal of the middle point pivot line
Then I waited for confirmation or invalidation of my trade. I ended up getting confirmation with Bearish Divergence from the second large dip so I tightened up my stop to below that smaller drip and waited for the London open. Not only was it not a lower low, I could see the divergence with the Relative Vigor Index.
It then ran into London and kept going with tons of momentum. Blew past my TP target so I let it run to see where the momentum stopped. Ended up TP'ing at the Pivot Point support/resistance above the middle pivot line.
Random Note: The Asian session has its own unique price action characteristics that happen regularly enough that you can easily trade them when they happen with high degrees of success. It takes time to learn them all and confidently trade them as its happening. If you trade Asia you should learn to recognize them as they can fake you out if you do not understand what's going on.

TL;DR At the end of the day there is no magic solution that just works. You have to find out what works for you and then what people say works for them. Test it out and see if it works for you or if you can adapt it to work for you. If it does not work or your just not interested then ignore it.
At the end of the day, you have to use your brain to make correct trading decisions. Blindly following indicators may work sometimes in certain market conditions, but trading with information you don't understand can burn you just as easily as help you. Its like playing with fire. So, get out there and grind it out. It will either click or it wont. Not everyone has the mindset or is capable of changing to be a successful trader. Trading is gambling, you do all this work to get a edge on the house. Trading without the edge or an edge you understand how to use will only leave your broker happy in the end.
submitted by marcusrider to Forex [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]

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NEST Protocol is the first permissionless network build for onchain oracle service,
also a community of token holders, data providers, and validators.
As a oracle, NEST Protocol privide a creative solution to verficate onchain data, e.g. quotes of digital assets. In NEST network, all data are directly generated on-chain: users(so called, Quote Miners) upload their own asset price quotes with certain amount of collateral , and the quotes will input to NEST’s price chain after a fixed verification period.

During the verification period, the users’ collateral are open for all forms of arbitrage, only the quotes with no collateral have been traded will be accepted)
While the NEST‘s open network remaining permissionless and decentralized, the quotes and other onchain data’s reliability and authenticity are secured by the game theroy between Quote miners, Verifiers and Price Callers.

The quote miners are rewarded with QP tokens (Quote Pool tokens includes
  1. NEST https://www.coingecko.com/en/coins/nest-protocol
  2. nYFI https://www.coingecko.com/en/coins/nyfi etc.

Verifiers earn profits directly based on the calculation of price deviation.

So far, NEST’s quote miners are providing real time quotes for over 50 active trading pairs like ETH/USDT, YFI/ETH etc. Those quotes are accepted by many Open Price Feed format, and then be used by DEX/ reporters like Cofix and Coinbase Pro.
submitted by Nest_Fan to nestprotocol [link] [comments]

Dollar rocks on the waves. Analysis as of 28.10.2020

Dollar rocks on the waves. Analysis as of 28.10.2020

Weekly fundamental forecast for the dollar

The fear of coronavirus makes US stock market bulls retreat, which results in the US dollar’s consolidation. The number of new cases hits a record high in the USA. The US also reported record high hospitalization rates since 19 August, while France recorded the highest daily death toll since April. Emmanuel Macron is rumored to introduce another lockdown. That dropped the EURUSD quotes below the bottom of figure 18. The fall might have been deeper if not for expectations of the Democrats’ victory on 3 November.
According to 75% of 59 Reuters experts, a blue wave will be the best option for the US economy. It will help the fiscal stimulus package worth $1.8 trillion pass easily through Congress. Experts forecast that the US GDP will draw down 4% in 2020 and expand 3.7% and 2.9% in 2021-2022, respectively.

Reuters survey: What will support the US economy?

Source: Reuters.
A blue wave and post-election reduction in political uncertainty suggest that volatility may fall. That’s good news for S&P 500 and bad news for the greenback. The world’s largest financial manager BlackRock, which manages assets worth $7.3 trillion, thinks that the USD will be moderately weak for 1-3 years. The giant joints USD bulls, such as Goldman Sachs and UBS. Its position explains why hedge funds are selling out dollars in the forward market.

USD index and speculative positions in USD


Source: Bloomberg.
Uncertainty feeds the dollar. The markets seem to know already the presidential election’s results. The election factor excluded, the second wave may drop EURUSD quotes significantly. We may face the global economy’s double recession and another collapse of the S&P 500 and the greenback’s hike like it was in March. All the previous achievements will be canceled. Few are those who will remember the housing prices’ growth in the USA and the fifth consecutive month of increase in US durable goods orders.

US durable goods orders


Source: Bloomberg.
At first sight, the second pandemic wave must push the ECB to active actions as early as at the 29 October meeting. However, QE expansion won’t solve the COVID-19 issue. European banks stop crediting, fearing bad debt growth. So, Christine Lagarde’s main task is to calm down financial markets. A hint about an additional stimulus in December may help with that task.

Weekly trading plan for EURUSD

Thus, the pandemic returned to Forex’s forefront and consolidated the USD. However, I think it’s still possible to exploit the factor of Joe Biden’s victory in the short term. The EURUSD’s retracement from support at 1.1745 or return to 1.1815 and higher may be a signal to open long positions for impatient and adventurous traders.
For more information follow the link to the website of the LiteForex
https://www.liteforex.com/blog/analysts-opinions/dollar-rocks-on-the-waves-analysis-as-of-28102020/?uid=285861726&cid=62423
submitted by Maxvelgus to Finance_analytics [link] [comments]

Integration with Financial Excel Add-In – Excel Price Feed

Integration with Financial Excel Add-In – Excel Price Feed

https://preview.redd.it/j4acwxvwfvr51.jpg?width=1920&format=pjpg&auto=webp&s=77df789ef696a2cdecf2e3266b550083ade09d59
Today we are happy to announce an integration with the financial Excel add-in – Excel Price Feed. Excel Price Feed is easy to use and featureful add-in for Excel owned and distributed by Coderun Technologies Ltd. It was launched in early 2019 and is regularly updated with new features, for EOD Historical Data the add-in has excellent support of Fundamental and End of Day APIs.
https://preview.redd.it/c2m0g8c3gvr51.png?width=723&format=png&auto=webp&s=4968e0e7ac2d1f4f31485ac441dadacdaf7bc825
  • Excel Price Feed is an Add-in that includes 100+ new Excel formulas for live, historical, and fundamental market data.
  • Markets include stocks, stock indices, stock options, mutual funds, ETFs, forex, commodities, and cryptocurrencies.
Learn More and download the plugin on Excel Price Feed page.
Please note that you should have both subscriptions to use this plugin with our data: from EOD Historical Data and from Excel Price Feed. Our subscriptions do not include add-in licensing and it should be ordered separately.
submitted by EOD_historical_data to EODHistoricalData [link] [comments]

On diversification and risk control

On diversification and risk control

https://preview.redd.it/re10or6z4cq51.png?width=1904&format=png&auto=webp&s=1563e44a573045fb8328462c392887b83a1c1b05
Defy Fund gives retail investors exposure to cryptos, forex, commodity futures, and stocks.

Why we diversify?

Most fund managers state that they diversify to reduce portfolio risk.
That is not the reason for us to trade as many classes of assets as possible.
We diversify using several DeFi platforms for the following two main reasons:

  1. More trading opportunities:
  • Trading cryptos as an asset class gives the trader the benefit of only one market. In the past five-plus years since our fund managers started trading cryptocurrencies, the crypto markets are highly correlated most of the time. Almost all of them move up and down at the same time. Furthermore, the market moves sideway 70-86% of the time.
  • We trade both long (buy) and short (sell) positions during the relatively rare periods the market is trending. All of our trading strategies are determined by Market Types and we stay away from choppy markets because we are not good at catching the relative highs and lows of small movements.
  • The result is that we were out of the market most of the time. This is also why sometimes you see no trading Signals when you visit here.
  • By adding stocks and commodity futures to the trading baskets, we have more opportunity to stay in one of the moving markets.
  1. Providing easy access to multiple-asset classes to overseas traders: Mos of our clients have existing investment portfolios and are seeking more exposure to assets not available in their home country. However, it has always been expensive for institutional traders, and basically impossible, for smaller retail traders to have global market access. The cost is too high, plus it is geographically and politically impossible for most of the people in less developed countries. Through smart-contract-enabled synthetic assets, decentralized finance platforms are offering anyone a chance to trade stocks, commodity futures, and any liquid assets in the world.

What about risk control?

Using diversification as the means of risk control is ineffective. It is often used as an excuse for incompetence.
Risk control is the starting and the endpoint of all of our trading strategy and portfolio management decisions. We use different risk control methods as the main ways to achieve trading objectives.

  • Every trade goes through the Risk Engine before it was generated by the Decision Engine, and it is the Risk Engine that gives the Order Server the final approval before an open order is sent.
  • After a position is established, the Risk Engine actively monitors the position against its original trading objective with a continuous new price feed.
In short, we consider the risk control is the single most important factor in trading success more than anything else.
For more trading/investing information, visit iob.fi DAO
submitted by IOB_llc to u/IOB_llc [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.
submitted by WannabeStonks69 to investing [link] [comments]

Message to all of my followers:

Hope everyone is having a good ass day today. This might be long. Please upvote so others are more likely to see in their feeds.
I have really wanted to start sharing my other forms of trading with you guys. I trade forex and did well this week betting on usd strength against the safe haven currency Japanese yen.
I’m also invested at $2,200 into a crypto currency called cindicator. I have 392,197 shares. Trying to get to 700,000 for access to their highest tier of trading indicators. I’ve followed this company for a long ass time and their product is great. If the price gets back to its high of $0.37, it’s a 6,959% profit for me. I’m expecting it to hit AT LEAST a dollar during this next bull run due to cnd/btc charts. Crypto currencies are similar to pennystocks in their volatility.
I also have very good evidence that bitcoin is about to start moving up very rapidly. The halving event that pushed it up to $20,000 just happened again two weeks ago. I and probably everyone else are expecting $100,000 bitcoin by October 2021 due to bitcoin stock to flow model. That indicator was designed by some billion dollar hedge fund manager and its accuracy is something I’ve never seen before. Please read the bottom half where it explains how that indicator works. Truly impressive.
I’m also learning how to trade SPY options, and I just made my first winning trade after a week of losing by buying SPY 298c 5/29
So my question is, are you interested in learning other forms of trading? By order of difficulty, we’d start with crypto currency. Mainly bitcoin and a handful of others. It’s pretty straightforward until you get into cold storage. Then forex which is complicated, and options further down the line after I understand them fully. Or if the consensus is forex or options, we’ll start there.
My main goal in Reddit is to make you guys better traders/ investors. One of my next personal goals is to get my series 7 and 65 licenses and do this shit professionally.
I’ve done the math, and if my average return in forex at ~10% per month stays consistent, managing $5,000,000 in client money and charging 20% would mean I make $80,000 a month. I’m currently building my trading history on Oanda as the first step in this process. So if you start seeing me in suits and ties on my streams, you’ll know what’s up.
Let me know if you’re interested. I’m not sure how I would do it. Maybe just include [BTC] in my headlines about crypto currency stuff when I post so that it’s easy to skim over for those not interested. I don’t want to start an isolated subreddit or anything like that.
submitted by trevandezz to u/trevandezz [link] [comments]

Odd race to bottom for NZD, JPY and USD

Saxo Bank

submitted by Altruistic_Camel to econmonitor [link] [comments]

Premium SLA

(Sadly this is apparently moot now since as soon as I ended the trial they yanked the early bird offer back; couldn't pay even if I wanted to.)
I am (or was) trialing TradingView Premium which supposedly offers priority support, including by phone from what I've seen mentioned. Had some health+life issues and couldn't get working on my device. Filed a support ticket and reached out on Twitter as well, asking for a few more days so I could try out with live market data.
Imagine my surprise not to hear back at all for multiple days. So I elected not to renew after the trial (with radio silence, didn't trust them not to bill at midnight UTC). Imagine my further surprise when it immediately deactivated every trial feature and, on top of that, yanked the early bird offer. Even if I click the "last chance - act now" button from another open window it redirects to the full price.
If they'd replied, even with just the single word "no", I would likely go ahead and accept the early bird offer and sign up for Premium yearly + data feeds. (I'd signed up for another service that might offer me the same, but haven't been activated yet, so was just in a time as well as budget crunch.) But I'm surprised and disappointed in the level of service I would get even as a Premium user and they're not making the case, especially when one of the key use cases is forex/crypto/futures which do run on the weekend. And now they won't even take my money. It feels petty.
submitted by vsync to TradingView [link] [comments]

Weekly Wrap: This Week In Chainlink July 20 - July 26

Weekly Wrap: This Week In Chainlink July 20 - July 26. What a week! Check out this weekly wrap-up of all that has been accomplished in the Chainlink community.

Announcements and Integrations 🎉

SmartCon will feature the top minds and builders of smart contracts and celebrate our incredible community, thriving ecosystem & cutting-edge research. Experience a mix of keynotes, panel discussions, live demos, developer workshops, and networking with the community. We made registration complimentary so everyone can participate.

We’re thrilled to welcome DeutscheTelekom’s TSystems_MMS IT Services group to Chainlink. Tsystemscom’s world-class infrastructure team secures a large amount of enterprise value today & is now on mainnet helping secure Chainlink’s oracle network.

Top Korean banks: Hana Bank, Shinhan Bank, Nonghyup Bank, and Industrial Bank of Korea select Chainlink and CenterPrime to bring their forex data on-chain, transforming the capabilities of open banking services, fintech and DeFi.

Binance Smart Chain has integrated Chainlink as its oracle live on testnet! Using Chainlink gives devs access to off-chain data (e.g. Binance_DEX), enabling them to build DeFi dApps for derivatives, crypto payments, automated asset management and more.

Reflexer (@MetaCoinProject) has successfully integrated Chainlink's ETH/USD Price Reference Data as the basis for collateralization checks on their first Generalized Ethereum Bond (reflex bond) RAI—a low volatility, trust minimized collateral for DeFi.

Blockchain-based e-document solution @FirmaChain is integrating Chainlink to create more seamless digital contracts. For example, car rental contracts using Chainlink to validate driver licenses within the signature process for better customer experience.

Blockchain platform Elastos blockchain is launching a Chainlink-powered ELA/USD Price Reference Data feed to use for collateralization checks on its upcoming cross-chain stablecoin. This is one of many advanced dApps possible on Elastos using real-world data.

TinyboxesETH is using ChainlinkVRF to create Tiny Boxes, randomized & animated generative art pieces that, from creation to curation, exist fully on-chain for collectors to enjoy. They will also use Chainlink price oracles for minting pieces w/ crypto.

Chainlink's ENJ/ETH Price Reference Feed is live on mainnet! Gaming developers can use this reliable price feed when minting or exchanging Enjin-based digital assets.

Chainlink's REN/ETH Price Reference Feed is live on mainnet. DeFi developers utilizing REN in their dApp now have access to a secure and reliable price oracle. This is just one of many Chainlink oracles available today.

Featured Videos & Educational Pieces 🎥

Join the MCDEX team and Chainlink for a video Q&A is with Gareth the DaoChemist (https://twitter.com/daochemist), Head of Business Development of MCDEX. The discussion will be centered on MCDEX integration with Chainlink and a deep-dive into MCDEX's launch of liquidity mining.

Join the Vite Labs team and Chainlink for a video Q&A is with Richard Yan, the Co-founder, and COO of Vite Labs. The discussion will be centered on 1) Why ViteX has better performance than other DEXs, 2) ViteX's approach to trans and liquidity mining where the coins earned entitle users to proceeds from the exchange, 3) Future plans for ViteX.

Watch this community workshop featuring an AMA with LinkPool’s head of business development, Ian Read. In the video, they discuss the future roadmap for LinkPool, how to become a node operator, and best practices for running a node.

Ecosystem & Community Celebrations 👏

Upcoming Events 📅

Are you interested in hosting your own meetup? Apply to become a Chainlink Community Advocate today: https://events.chain.link/advocate

SmartContract is hiring to build Chainlink’s network: Check out these open roles 👩‍💼

View all open roles at https://careers.smartcontract.com
submitted by linkedkeenan to Chainlink [link] [comments]

Stop-Loss and the Hunger For New Capital

Stop-Loss and the Hunger For New Capital

Stop-Loss and the Hunger For New Capital


Stop-Loss and the Hunger For New Capital


Ever wonder why when you trade your stop gets tagged? Although you put it in a spot where "There's no way price will want to reach my stop level for sure this time"
As a trader, particularly a new trader – I've always wondered why my stops were only tagged for the price of running briefly the area that I've ever so carefully researched ... hit my stop point ..... then move on in the direction of my original study and run to the point where my profit should have been taken.
Everything leaving me wondering ...... In the hell for what did this do??? Obviously this is a common issue that has plagued most traders. At least, I know that I have faced this very problem for years.

What I noticed was that there was a very distinctive pattern going on, and it was repeating itself again and again. I noticed that the traditional supply and demand theory, support and resistance zones, or double top / double bottom trading patterns that I have been told time and time again that price has always covered these regions, was not really a real thing.

The argument had been, ..... Put me into the shoes of the major investment banks vs. the home-trading fighter who was going to conquer the markets every day. If you were a large company with an infinite supply of money and you decided to bring a massive chunk of it into the game, you can't just dump the whole lot into the game and demand all your orders to be filled out at once, then take off the price in the direction you want .... no ..... That is not exactly the way it operates.All these major organizations need to do is pair orders.

And they match that order by sending the markets to areas where liquidity is high .... The stops AKA!

Let 's say you 're evaluating the markets, for example, and deciding that price wants to go higher than an old regular target as it's in a bullish uptrend at the moment. And you see price for the past day, or so, not willing to go any lower.
What looks like a bit of a demand shelf or support level where the demand is all in a nice tight clustered row that just doesn't seem to want to go down and you know for sure this time price won't go under that heavily protected area ..... only for the price to run down quickly and refuse to go up (in this case a long position).
And I started to note that these "secure zones" or places where price is certainly not going to come up / down to be simply used by these large entities as feeding grounds for harvesting liquidity and adding more positions to include them in a larger movement.

They need a lot of money to buy in and just to do so, your sell stop is great. Many traders put their stops below this tight pack range of candles a few pips / ticks / cents believing they 're secure as price obviously doesn't want to come down below them. And most traders have their positions liquidated by the hungry major capital banks to feed the whole push higher than you were originally right about.

And how can you stop this pitfall happening to you is the million-dollar question? There are a few ways to handle this and keep your hard-earned money from being ripped away from you in an moment, which you have at risk in the markets.

Stop-Hunting and the Hunger For New Capital

I found that you would do much better in your trading career if you look at these areas (in the above example a long position) as a chance rather than a safe zone to put your stop. What I mean by that is, anticipate them coming down under those equal lows and try to get far below it instead of getting long above the area of consolidation. Yeah, that means you're going to have to go long when the competition runs against you and I know , I know, it feels really uncomfortable and wrong and goes against all you've been taught ... but believe me that this approach can give you the very best possible entries.
Imagine: getting into the day 's low and riding price action all the way up to the top of everyday scale!!! Wouldn't this be terrific?

Well, if your quantitative skills are timely and your business research tells you to go a long way, then all you need to do is wait for the perfect entry. Let the price build up and create "demand shelf" or support areas for that. Let the market shift sideways and bounce around like a pinball mocking all the other traders who were at the top of these stuff for a long time and put their stops just below them in hopes that the price would not come down and stop them. All the while playing with and holding their emotions on the cliff of –Will this be a winner, or a trade loser? So when price does the unimaginable and runs below the support area and scoops up all the traders stops you can then go long and take part in the glorious upside of being right – and of course make some money doing it.

Notice facile? Well, that is not so. It takes patience and timing and experience to catch all those eager participants who keep their stops on a silver platter for the fat and thirsty banks to suck them up, as the markets normally send price south of the border.
Stop-Loss and the Hunger For New Capital (meme)

You have to define the times of the day when the wrong move is made apparent.
Or when they make that low of the day – typically within the 1st 1 – 4 hours
of the trading day, and I don't mean either when the banks come online at 8 a.m. NY.
I mean 12 am, at the beginning of the day.
So yes you 're definitely going to have to be awake if you like watching
price do its thing and don't trust the process of buying into those down candles.
And use a limit order like me-then go to sleep and trust your overall analysis to be right and wake up to your morning with a nice little start.
But the trick is-where are you going to shop under the lows?

And where does your stop then go when you buy?

Those are all interesting questions that I should seek to answer clearly here – but alas, all markets are different.

Yet general rule of thumb as follows:

  1. You should predict that such stop-sweeps will occur in grades 5 and 10. The average is usually about 10, cents, pips, ticks or otherwise. The bigger the step down the more likely it is not a stop raid and potentially a reversal of the pattern. And you can prevent too much danger and keep the stop fairly secure.
Your stop will need to go low on the 1hr map below the next move. As a minimum, and yes, that may mean a greater risk level that you are usually prepared to take.
However if that is the case then try to turn your power back.
You don't need to make every trade worth a million dollars.
This is about continuity, when dealing, not winning the draw.
In your research you need to be sure the price will push higher as this is how the overall trend directions point it.
I am not recommending trade in these types of trades against the trend.
You need to be in full agreement with the direction of the total daily level.
And bringing it in.

Also, a great way to place the maximum risk reward for your take profit:

Attempt to position it in places above the market where short-sellers will stop.

And in a nutshell, with a bit of analysis, all the knowledge I described above can be readily found, I didn't come up with it on my own and these ideas are not unique. Yet how you adapt them to your particular trading style is up to you and relies on your interpretation of these principles for your success and/or failure. Price is fractal and would want to return to markets it has previously sold before – if you accept the basic fact you ought to be doing very well in your business career.

Eva " Forex " Canares .
Cheers and Profitable Trading to All.

About FTMO -
They fund forex traders. Just Pass their risk management rules and begin trading for their company. They'll provide you capital up to $300k USD for trading the financial markets. 70% of profits you keep and losses are covered by them. How does it work?
How to Become a Funded Forex ,Stocks or CryptoCurrency Trader?
submitted by Eva_Canares to FTMO_Forex_Trading [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

I don't know why i am posting this

Technical analysis
spread-betting
https://zerodha.com/varsity/
https://www.babypips.com/learn/forex
technical indicators
Options learning
https://optionalpha.com/
https://www.optionsplaybook.com/option-strategies/
Books
pdf
option books
options noob questions
Youtube
mathematical finance
sensibull
for boomers
Price action
https://www.youtube.com/playlist?list=PLT6_Bt_TKitIW6KJ_EliFGeUWzMxm_9D-
algo trading
Podcast
theta gang
options alpha
chat with traders
options playbook
options genius
options bootcamp
apps for news
Some posts which i saved and dont know why
https://www.reddit.com/options/comments/ep7yrs/the_chart_moderators_dont_want_you_to_see/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/cxn59p/for_all_the_traders_that_just_focus_on_price/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/cxymyf/a_peek_into_how_financial_institutions_play_this/?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/dmzp14/so_you_wanna_be_a_proffesional_trade?utm_medium=android_app&utm_source=share
https://www.reddit.com/Forex/comments/6j7qm2/90_day_update_beginners_post/?utm_medium=android_app&utm_source=share
Edit- https://www.tastytrade.com/tt/learn/
submitted by The-ashura to IndianStreetBets [link] [comments]

Volumes in Price Action

So I'm here trying to get insightful knowledge on Volume + Price Action. If I come across 2 people, 2 people will give varying degrees on how to use Volume in FX.
If you are experienced in trading using volumes, others could use the help. Other experienced traders can pick up a thing or two too should there be gaps in their knowledge.
submitted by twolfhill to Forex [link] [comments]

The Daily Autist, By An Autist, For Autists. 03/24/20

The Daily Autist

03/24/20

Hot Off The Spectrum

TLDR of the News to Inform Your Moves (Monday was a lot. Even my post is long)

What’s up sluts. I’m back with another burst of autism. I’ve been Rick fuggin Rollin in the tendies (AKA not hemorrhaging money) and these posts have been fairly accurate. I’ll be adding plays to the NostraLosses section as a result to bring more clarity to my dumbass takes.
FIRST THINGS FUCKING FIRST THE ORIGINAL AUTIST ARTIST WHO DREW THE OLD LOGO HAS COME TO LIGHT IM SO FUCKING HAPPY. We’ll never get it back, but sometimes closure on it’s own feels good enough. What am I a fucking teenager? The rest of the sub was shit yesterday/this morning.I was shadowbanned for posting “Fear mongering Corona Content,” and yet 75% of the sub’s hot posts are exactly that but with even less info than I had. Rest is memes. No plays or info. Honestly kinda sad.
https://www.reddit.com/wallstreetbets/comments/fnpz20/hey_yall_i_drew_the_original_baby_ama/
Obligatory Corona Dump (Monday news could not stop throating COVID content)
Things are in such a Twilight Zone State Amazon is getting credit for being “altruistic,” like they didn’t hike up prices since late January themselves and only altered their practices once Trump threatened Defense Production Act (DPA) notice they’re also only suspending, so once things are just slightly back to normal please price gouge errthang.
https://www.scmp.com/tech/big-tech/article/3076638/amazon-suspends-almost-4000-seller-accounts-unfairly-priced-products
Costco is also getting unwarranted credit. They won’t take back your tower of toilet paper or tub of hand sanitizer, which COSTS them money they already made. Did they have any problem hiking the price, refusing to limit sales per person, not give their employees PPE, or donate any relief from their excess food products due to banning eating at the location and numbers going down? Nah? ok. So the good guy is the company that profited off of fear and won’t provide the minimum financial relief to those who thought it was that extreme. Stop demonizing your fellow worker citizens.
https://brobible.com/culture/article/costco-toilet-paper-returns-hoarders/
Companies getting high praise and both articles implying a return to normalcy soon. How does that affect the markets? Normies are being told everything is okay and they will follow suit. Is everything okay? Absolutely not. These MFs in charge just announced unlimited QE yesterday nothing’s okay financially. Retard normie pump coming in.
Financial News:
Trump is saying that unless 10,000 die in the streets soon he’s gonna “re-open” the economy after the 15 days. At this point it’s a bit of a walking Onion article. Thursday?” ITS A WAR WE WILL CAPTURE AND KNIFE COVID’S ASSHOLE”. Friday? “This is serious. I do not want to use any drastic measures but I will. This is very verry serious.” Monday? “Isn’t being stuck inside fucking wack? Let’s open the pit up bro” I recommend watching the video with subtitles to get a transcript of his speech patterns.
https://www.reuters.com/video/watch/america-will-again-and-soon-be-open-for-id701434357?chan=9qsux198
I predicted the Fed couldn’t devalue the dollar as fast as other countries could want it and it seems to be holding up. A very small dip from the news they’re willing to print unlimited moneys? The global economy is in trouble if that's still the stability bearer. Puts are lookin good, but they need to be farther out. 04/17 soonest for my comfort. Especially with the temporary re-open of the US economy. Seeing Reuters use “money bazooka,’ multiple times in the last week has been fantastic.
https://www.reuters.com/article/global-forex/forex-dollar-slips-as-feds-money-bazooka-raises-hopes-of-easier-cash-supply-idUSL4N2BH2AF
Italy’s debt, tax, and unemployment relief are all being held up by congressional disputes and an ability to only handle a tenth of the paperwork that comes in. Sound familiar? Maybe ominous? The population density in regions of Italy is our closest analog to how a free (eat my dick South Korea) country is gonna get hit. Their healthcare system is also tainted by for-profit companies and insurance so it’s also pretty similar medical coverage wise per capita.
https://www.reuters.com/article/us-health-coronavirus-banks-insight/banks-struggle-to-ride-to-the-rescue-in-europes-cash-crunch-battle-idUSKBN21B0OE
United Airlines is threatening to fire workers if they don’t get a bailout. I hope to fuck this is the tipping point and the government forces United to hand over their payroll list so the gov. Provide financial relief to their employees while United liquidates their assets or sells to some Saudi Conglomerate. Effect on market? PUTS ON UNITED BITCH THEY GOIN OUT
https://www.npr.org/sections/coronavirus-live-updates/2020/03/20/819401028/united-airlines-threatens-to-cut-jobs-if-coronavirus-aid-package-isnt-passed (From 03/20 but was drowned out by other news. Looks more and more likely airlines won’t be bailed out)
Everyday Fox business posts something for Boomers to buy more Ford or Dine stocks (idk what old people buy) and today they have some good ammo. Overnight futures were up. Pre-market today as of 06:31 EST is $234.72 after touching 238. Looks like today is going to be the bull trap day as the rumors of stimulus are hot again. If it gets passed I expect a 245-248 top before the unemployment numbers Thursday fist everyone. Market effect? Short term calls as everyone gets high on optimism and long term puts for when they come down.
https://www.foxbusiness.com/markets/stock-futures-gain-ground-as-congress-moves-closer-to-a-stimulus-deal
Crypto is taking off after tanking yesterday. Overnight rally (NZ markets followed by Asian markets) carried it up 14% in the last 16 hours. It started to rise slowly after the QE announcement but really flew overnight and this morning. Cooling off now but already had a dip to 6650 and right back up to 6700+ While not always correlated, crypto is a key indicator right now in speculative confidence while people are budgeting for maintaining their lives versus increasing their future wealth. No link because every crypto site is owned by a Ponzi schemer. Fight me and my tinfoil fucking hat. Here are some squigglies and bars
https://www.tradingview.com/symbols/BTCUSD/?exchange=BITBAY
My NostraLosses Prediction? The rumors of stimulus and the passed unlimited QE will provide market optimism today and tomorrow. Thursday’s unemployment numbers is the next scheduled big news so I wouldn’t get any short term puts unless scalping. If anything unexpected news could bring the market even higher with it being random good news versus any random catastrophic news. Market open will be up about 6% from the previous day’s close, so I expect a short term dip at open which would be a good spot to get quick calls to then ride the pump. Market closes above 235 and if stimulus passes along with more false optimism statements by Trump there’s possibly a sharp bull run to 245-248 by end of Wednesday.
Plays to follow:
SPY: 240c 03/27 once the first dip of day happens. If your bankroll allows for a few days farther out I would go for it. If SPY does hit 240, SELL call and BUY put for 228 04/01 at soonest.
DIA: 190P 04/17 It hasn’t fallen nearly as hard as it should (another 5% imo) and the industries making it up are going to have numbers showing how bad the payroll cuts and profit loss has been. During today’s pump get some not so fucking expensive puts (made sure not to say cheap)
Any Stupid Tech Company: Retarded OTM call for 03/27 or later. With so many people being stuck at home the last week or so the tech companies are outperforming the market with the idea that: The high user rate means more $$$, but if there’s more people on because they are not working or laid off, how do they have the money to buy shitty sponsored products on their feed? The kicker here is ads have always had near useless efficacy rates on social media so the fact they will continue to do a shit job might not change much. Anyway people are fucking dumb and tech gonna continue to rally this week. Signed, someone with 1.5k in TWTR Puts expiring over next 4 weeks.
Most people don’t even give you one play. I’m giving you multiple ways to lose your money.
TLDR of my TLDR: Companies who profited off the crisis getting karma points for no reason. Normies think the crisis will be over next Friday. International currencies are still erratic but the markets are rallying today globally (sign of lacking underlying stability for said rally). Italy can’t pass anything or handle the paperwork from their previously set up process (AKA USA in 7-10 days under current stimulus proposals) and they don’t have a solution in sight. Stimulus has everyone rock hard for calls again, ride the short term rise and pick up puts while you’re up there. Just be a long term gay bear experimenting with bulls depending on the day.
Results on my thoughts from last post 03/23: I was incorrect on circuit breaker open but was only 1% away and it did run up mid-day as called. So if you sold at 218 to buy calls to sell a few hours later, we nailed it boys. If you were aiming for price instead of time, it never hit 234 again which was a key test and you’re likely sitting on a fat red option right now. I was about half right which is all you need to be. I’ve also switched up Market affect and effect because I’m retarded and am unsure which is right anymore. Nvm grammarly fixed it.
And again, I mean this sincerely,

submitted by AvocadosAreMeh to wallstreetbets2 [link] [comments]

Noob Safe Haven Thread | Oct 14-20 2019

Post any options questions you wanted to ask, but were afraid to ask. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge and experiences (YOU are invited to respond to questions posted here.)
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade, disclose position details, so that responders can assist. Vague inquires receive vague responses. Tell us: TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, for mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Exercise & Assignment - A Guide (ScottishTrader) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Thoughts after trading for 7 Years (invcht2) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes) • There's a bull market somewhere (Jason Leavitt) (3 minutes)
Trade planning, risk reduction and trade size, etc. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • Trade Checklists and Guides (Option Alpha) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart) • Open Interest by ticker (optinistics)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Option Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta Decay: The Ultimate Guide (Chris Butler - Project Option) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • How Often Within Expected Move? Data Science and Implied Volatility (Michael Rechenthin, PhD - TastyTrade 2017) • A selected list of option chain & option data websites
Selected Trade Positions & Management • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Rolling Short (Credit) Spreads (Redtexture) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Covered Calls - Chris Butler - Project Option (20 minutes) • The 10 Most Common Mistakes Made by Covered Call Writers - Allen Ellman - Blue Caller Investor (8 minutes) • Take the loss (here's why) (Clay Trader) (15 minutes) • The diagonal calendar spread and "poor man's covered call" (Redtexture) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Short calls and puts, and dividend risk (Redtexture) • Options and Dividend Risk (Sage Anderson, TastyTrade) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, Contract Specifications, TDA Margin Handbook, EU Regulations on US ETFs, US Taxes and Options • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • How to find out when a new expiration is opening up: email: [email protected] for the status of a particular ticker's new expirations.
• CBOE Contract Specifications and Trading Days & Hours • TDAmeritrade Margin Handbook (18 pages PDF) • Monthly expirations of Index options are settled on next day prices • PRIIPS, KIPs, EU regulations, ETFs, Options, Brokers • Key Information Documents (KIDs) for European Citizens (Options Clearing Corporation) • Taxes and Investing (Options Industry Council) (PDF) • CBOE Exchange Rules (770+ pages, PDF) • NASDAQ Options Exchange Rules
Following week's Noob thread: Oct 21-27 2019
Previous weeks' Noob threads:
Oct 7-13 2019 Sept 30 - Oct 6 2019
Sept 23-29 2019 Sept 16-22 2019 Sept 09-15 2019 Sept 02-09 2019 Aug 26 - Sept 02 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

Noob Safe Haven Thread | Oct 7-13 2019

Post any options questions you wanted to ask, but were afraid to ask. A weekly thread in which questions will be received with equanimity. There are no stupid questions, only dumb answers.   Fire away. This is a weekly rotation with past threads linked below. This project succeeds thanks to people thoughtfully sharing their knowledge and experiences (YOU are invited to respond to questions posted here.)
Perhaps you're looking for an item in the frequent answers list below.
For a useful response about a particular option trade, disclose position details, so that responders can assist. Vague inquires receive vague responses. Tell us: TICKER -- Put or Call -- strike price (for each leg, on spreads) -- expiration date -- cost of option entry -- date of option entry -- underlying stock price at entry -- current option (spread) market value -- current underlying stock price -- your rationale for entering the position.   .
Key informational links: • Glossary • List of Recommended Books • Introduction to Options (The Options Playbook) • The complete side-bar informational links, for mobile app users.

Links to the most frequent answers

I just made (or lost) $____. Should I close the trade? Yes, close the trade, because you had no plan for an exit to limit your risk. Your trade is a prediction: a plan directs action upon an (in)validated prediction. Take the gain (or loss). End the risk of losing the gain (or increasing the loss). Plan the exit before the start of each trade, for both a gain, and maximum loss. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture)
Why did my options lose value, when the stock price went in a favorable direction? • Options extrinsic and intrinsic value, an introduction (Redtexture)
Getting started in options • Calls and puts, long and short, an introduction (Redtexture) • Exercise & Assignment - A Guide (ScottishTrader) • Some useful educational links • Some introductory trading guidance, with educational links • Options Expiration & Assignment (Option Alpha) • Expiration time and date (Investopedia)
Common mistakes and useful advice for new options traders • Five mistakes to avoid when trading options (Options Playbook) • Top 10 Mistakes Beginner Option Traders Make (Ally Bank) • One year into options trading: lessons learned (whitethunder9) • Here's some cold hard words from a professional trader (magik_moose) • Thoughts after trading for 7 Years (invcht2) • Avoiding Stupidity is Easier than Seeking Brilliance (Farnum Street Blog) • 20 Habits of Highly Successful Traders (Viper Report) (40 minutes) • There's a bull market somewhere (Jason Leavitt) (3 minutes)
Trade planning, risk reduction and trade size, etc. • Exit-first trade planning, and using a risk-reduction trade checklist (Redtexture) • Trade Checklists and Guides (Option Alpha) • An illustration of planning on trades failing. (John Carter) (at 90 seconds) • Trade Simulator Tool (Radioactive Trading) • Risk of Ruin (Better System Trader)
Minimizing Bid-Ask Spreads (high-volume options are best) • Fishing for a price: price discovery with (wide) bid-ask spreads (Redtexture) • List of option activity by underlying (Market Chameleon) • List of option activity by underlying (Barchart) • Open Interest by ticker (optinistics)
Closing out a trade • Most options positions are closed before expiration (Options Playbook) • When to Exit Guide (Option Alpha) • Risk to reward ratios change over the life of a position: a reason for early exit (Redtexture)
Options Greeks and Option Chains • An Introduction to Options Greeks (Options Playbook) • Options Greeks (Epsilon Options) • Theta Decay: The Ultimate Guide (Chris Butler - Project Option) • Theta decay rates differ: At the money vs. away from the money • Theta: A Detailed Look at the Decay of Option Time Value (James Toll) • Gamma Risk Explained - (Gavin McMaster - Options Trading IQ) • How Often Within Expected Move? Data Science and Implied Volatility (Michael Rechenthin, PhD - TastyTrade 2017) • A selected list of option chain & option data websites
Selected Trade Positions & Management • The Wheel Strategy (ScottishTrader) • Rolling Short (Credit) Spreads (Options Playbook) • Rolling Short (Credit) Spreads (Redtexture) • Synthetic option positions: Why and how they are used (Fidelity) • Covered Calls Tutorial (Option Investor) • Take the loss (here's why) (Clay Trader) (15 minutes) • The diagonal calendar spread and "poor man's covered call" (Redtexture) • Creative Ways to Avoid The Pattern Day Trader Rule (Sean McLaughlin) • Short calls and puts, and dividend risk (Redtexture) • Options and Dividend Risk (Sage Anderson, TastyTrade) • Options contract adjustments: what you should know (Fidelity) • Options contract adjustment announcements / memoranda (Options Clearing Corporation)
Implied Volatility, IV Rank, and IV Percentile (of days) • An introduction to Implied Volatility (Khan Academy) • An introduction to Black Scholes formula (Khan Academy) • IV Rank vs. IV Percentile: Which is better? (Project Option) • IV Rank vs. IV Percentile in Trading (Tasty Trade) (video)
Miscellaneous: Economic Calendars, International Brokers, RobinHood, Pattern Day Trader, CBOE Exchange Rules, Contract Specifications, TDA Margin Handbook, EU Regulations on US ETFs, US Taxes and Options • Selected calendars of economic reports and events • An incomplete list of international brokers dealing in US options markets (Redtexture) • Free brokerages can be very costly: Why option traders should not use RobinHood • Pattern Day Trader status and $25,000 margin account balances (FINRA) • How to find out when a new expiration is opening up: email: [email protected] for the status of a particular ticker's new expirations.
• CBOE Contract Specications and Trading Days & Hours • TDAmeritrade Margin Handbook (18 pages PDF) • Monthly expirations of Index options are settled on next day prices • PRIIPS, KIPs, EU regulations, ETFs, Options, Brokers • Key Information Documents (KIDs) for European Citizens (Options Clearing Corporation) • Taxes and Investing (Options Industry Council) (PDF) • CBOE Exchange Rules (770+ pages, PDF) • NASDAQ Options Exchange Rules
Following week's Noob thread: Oct 14-20 2019
Previous weeks' Noob threads:
Sept 30 - Oct 6 2019 Sept 23-29 2019 Sept 16-22 2019 Sept 09-15 2019 Sept 02-09 2019 Aug 26 - Sept 02 2019
Complete NOOB archive, 2018, and 2019
submitted by redtexture to options [link] [comments]

How to normalize values with no bounds, mean or standard deviation

I am writing a feed forward neural network that uses NEAT to learn to trade in the forex market. I made another post on here asking about activation functions and I got a lot of awesome feedback, but now I am puzzling over how to normalize my input data properly for optimal performance. I have a lot of different input data and I have no good way to standardize them. Things like price data have no constant bounds or statistical data and things like account balance could be any number from 0 to infinity. I could use bounding functions like logit but I'm not sure if that is the best idea. What do you guys recommend when you have boundless inputs with no mean or stddev? and is normalization really necessary in this case? I was considering using selu as my activation function, but selu might not be the best choice in this scenario, as it requires inputs to be standardized to mean 0 stddev 1.
Thanks!
submitted by MrStashley to MLQuestions [link] [comments]

What data to use for backtesting a Forex algo?

Hi,
I am developing a Forex algo and have done so with 1-minute candle data. For simplicity sake I take the average (mid-price) of the bid/ask-close, bid/ask-low and bid/ask-high and feed these into the algo. This means that the algo buys and sells using the bid/ask-close average.
Now, I know this ignores the "cost" of the spread and since it is a HF algo this cost becomes very significant. However, I recently found out about ECN brokerages that say they offer 0-0.1pips of spread and only take a commission.
My question thus is, what kind of data should I use for backtesting my algo. The candle data I use now has an average spread of 1.4 pips (between bid-close and ask-close).
Should I find data quoting a lower spread? Or are these lower spreads not realistic?
In addition to the question above... Is using the bid-close and ask-close of 1-minute candle date reasonable to use as a price at which the algo can buy and sell or is this not realistic in a live environment.
Thank you so much
submitted by marnixhoh to algotrading [link] [comments]

[D] How to normalize values with no bounds, mean or standard deviation

I am writing a feed forward neural network that uses NEAT to learn to trade in the forex market. I made another post on here asking about activation functions and I got a lot of awesome feedback, but now I am puzzling over how to normalize my input data properly for optimal performance. I have a lot of different input data and I have no good way to standardize them. Things like price data have no constant bounds or statistical data and things like account balance could be any number from 0 to infinity. I could use bounding functions like logit but I'm not sure if that is the best idea. What do you guys recommend when you have boundless inputs with no mean or stddev? and is normalization really necessary in this case? I was considering using selu as my activation function, but selu might not be the best choice in this scenario, as it requires inputs to be standardized to mean 0 stddev 1.
Thanks!
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Live Trading With Ricky Gutierrez  Stock Market 101 - YouTube Forex Reviews - YouTube How To Get Sniper Entries Part 3  Forex Price Action ...

What is your data feed source? MT4Feed is a top quality Forex price feed composed by multiple prime Forex broker and bank data feeds. The feed is filtered by a patent pending proprietary algorithm which is offered to the retail Forex traders in the form of an Expert Advisor applicable to the MT4 trading terminal. All About Forex World RSS Feed; Forex Reviews Teaching The Arts Of Price Action Trading RSS Feed; Dave Matias RSS Feed; Asia Capital Markets RSS Feed; Forex Trading With Kong RSS Feed ; Mechanical Forex RSS Feed; Forex Monopoly RSS Feed; Invstoc.com Forex Trading, The first Social Media Forex and economic Website RSS Feed; AForex Trading RSS Feed; View all; Forex RSS Feeds. 1. DailyFX ... MT4 Feed. Forex market is not centralized thus Forex prices can vary from broker to broker. Sometimes prices can differ significantly especially during high volatility news such as the NFP. When that moment of price uncertainty comes you will need a reliable price feed source. MT4Feed is an Expert Advisor which attaches on the Mt4 charts and overlays Bid and Ask lines that denote the real ... Gold Price Analysis: XAU/USD bears waiting to feed on head and shoulders 0. By FX Street Published: Oct 20, 2020 18:17 GMT Last Modified: Oct 20, 2020 20:17 GMT FXStreet News. Gold bears waiting for a break of support structure. A 1:3 risk to reward trade could be on the cards on the break and restest of the structure. The price of gold has been sucking in the bears since the break of the ... A forex data feed contains the streaming market quotes that are fed into your trading platform. All technical trading decisions are made based on these quotes, so it is extremely important the input data is timely and reliable. Making crucial decisions such as stop loss and take profit placement from faulty data can lead to losses that would otherwise have been avoided and missed targets. What ... FX Price Feed Accuracy and Reliability. Whether used to meet your own internal business needs or for redistribution purposes, FXCM’s FX rates provide raw prices in real time, sourced directly from major interbank and non-bank market makers, updated multiple times per second. Who Are FXCM's FX Liquidity Providers and Prime Brokers? FXCM offers many quality and cost-effective market data ... Forex Today: Dollar finds its feet amid stalled stimulus talks, ahead of US data, EU Summit NEWS Oct 15, 05:43 ... Feed news . Latest Forex News . Latest Forex News . WTI pulls away from 10-week ... Market data price feed for Metatrader 4 (MT4), Metatrader 5 (MT5), FXGO transfers data to markets: Forex, Binary Options, Stocks, Metals, CFDs, Indices. Market data price feed work is fully automatic. Increase your chances to find Forex data feed of the good quality. Here’s the brutal truth: It is hard to find relevant Forex data feed on Internet. You can spend days browsing, but still you do not get any guarantees you receive anything of the decent quality. Good news! We have done the entire dirty job for you: collected all the data, checked the quality and prepared everything neatly ... Real-time, delayed and historical complete tick-level market data feed for Forex trading. Includes over 120 popular currency pairs.

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Live Trading With Ricky Gutierrez Stock Market 101 - YouTube

Your trusted source for live trading everyday from market open to market close! This is the live streaming arm of The Trading fraternity, for other finance/i... Master's Daily Private Forex Signals Signal Indicators for MT5 & MT4 sample live stream https://www.youtube.com/watch?v=l1vzkhaSbKc Signal & Market Forecast ... How to Get Sniper Entries Part 3! Forex price action strategy detailed! In this video, I break down AUD/USD and how we would look to enter at a major area of... I will be hosting my free live trading session at market open (9:30AM EST). Set your alarms to wake up on time to tune in! See you at market open and excited... Do you want to learn about Forex and Price Action Trading? If so, you have come to the right place. Channel topics include how to trade Price Action, Forex O... www.youtube.com

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