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What is Algorithm Trading (Algo Trading)? ☝️
 
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What is a Trading Algorithm? http://www.financial-spread-betting.com/ PLEASE LIKE AND SHARE THIS VIDEO SO WE CAN DO MORE! A trading algorithm is a kind of trading robot. A trading algorithm consists of lines of code. The algo makes a decision and executes trades automatically. The main reason people develop trading algos is to minimize market impact. As such its a robot that does decisions for you. This is not to be confused with high frequency trading which is something different.
Views: 6590 UKspreadbetting
ALGO Trading क्या होती है ? | Episode-19 | Stock market Basics for beginners in Hindi | SM
 
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Market Pathshala Episode-19 ...In this episode Sunil Minglani Explained about ALGO trading, What is Algo trading?...What are advantages & disadvantages of algo trading ?....Who can use & how much costly these systems are?...and many more... Click the Link Below for... Master Trader Program PUNE Registration Form https://goo.gl/forms/6hAM3D4OmagWetwH2 Event dates- 24-25th Feburary 2018 For any query : WhatsApp at 8882424222 or mail us at [email protected] Click the Link Below to see the previous event video... https://www.youtube.com/watch?v=4rjYgsSVnzs * This program is designed for those who has Basic knowledge of Chart Analysis * 2 full days Program( Saturday & Sunday) , Morning 9.00 Am to 6.00 PM Evening ( With Lunch & Tea Breaks) *Scheduled on 24-25th Feburary 2018 ( Venue details will be send at your Email/WhatsApp after payment) **Note - Program Fee Includes Both days Lunch ,Tea/Coffee (Morning & Evening) in a 5 star property with Course Written Material Program Highlights: * How to use different tools for trading (Unique) * Sunil Minglani's Unique strategies * Indicators application (Unique) * Multibagger Patterns * Stock Selection * Money management ://www.facebook.com/thesunilminglani https://www.twitter.com/sunilminglani https://www.instagram.com/sunilminglani We have also started a new initiative called “ Valid Voice Talks” For More info subscribe us https://www.youtube.com/vvtalks and visit http://www.vvtalks.com
Views: 65933 Sunil Minglani
ALEX GERCHIK: SUCCESSFUL TRADER’S SECRETS. ALGORITHM BASED FOREX TRADING. Lesson 4
 
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A real STP forex broker of successful trader Alex Gerchik! The most useful and interesting tips for trader and investor. A lot of helpful video specially created for our clients and just YouTube viewers of Gerchik & Co channel! ↓ Find a lot of valuable information below! ↓ Subscribe and don’t miss new videos! http://gerchik.co/youtubeen ♦️ Get more video in our topic playlists! ♦️ Gerchik & Co outside YouTube: Gerchik’s website: http://gerchik.co/yousen Information channel in Telegram, join: http://gerchik.co/telegramen Gerchik & Co on Facebook: http://gerchik.co/faceyouen ♥️ Subscribe to our YouTube channel! → ♥️ http://gerchik.co/youtubeen ► Do you like the video? Leave your comment below! Don’t forget to like (thumbs-up!) and share the video with your friends in social networks :) Don’t like? Inform about this in comments too. Thank you! Gerchik & Co is a broker company that has entered the foreign exchange market to offer the new level of Forex trading conditions. We make it comfortable for traders, managers and investors. We believe you could and should earn on Forex, and we are ready to teach you.
Views: 565 Gerchik Co
FIST || An Algorithm Based Trading Platform by FinIdeas
 
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FinIdeas System Trader (FIST) is an Algo Trading Platform from FinIdeas. It is a one-stop solution for all trading needs of an Options Trader. Equipped with the latest Options Algos it is a unique combination of technological performance and trading functionalities Hope you will like this. Please dont forget to subscribe our You Tube Channel. We love to see your comments. Call me back: https://goo.gl/Njsspp FinIdeas on Social Networks : Website : http://www.finideas.com E-mail : [email protected] Facebook : http://www.facebook.com/finideas Blog : http://finideasmspl.blogspot.in/ Youtube : http//www.youtube.com/finideas Twitter : http//www.twitter.com/finideas
Views: 1047 Finideas Sol
Fakeout based trading algorithm for FOREX
 
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Expert advisor ►►►http://www.theforexkings.com/#!forex-expert-advisors/qeegb Forex for winners ►►►http://www.theforexkings.com Forex indicators ►►►http://www.theforexkings.com/#!forex-indicators/rza8h Forex trading ►►►http://www.theforexkings.com/#!forex-trading/cjg9
Views: 159 The Forex Kings
Algorithmic Trading Strategy
 
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How to trade using Dr. Roitman's signal strategy and the "Top 10 Stock Picks" chart by I Know First. Presented by Daniel Hai
How quant trading strategies are developed and tested w/ Ernie Chan
 
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EP 052: How quantitative trading strategies are created, scrutinized and introduced to the market w/ Ernie Chan * More interviews: http://chatwithtraders.com * Free eBook: http://chatwithtraders.com/17lessons * Twitter: https://twitter.com/chatwithtraders * Facebook: http://facebook.com/chatwithtraders * Instagram: https://instagram.com/chatwithtraders_ * Soundcloud: https://soundcloud.com/chat-with-traders * Sitcher: http://www.stitcher.com/podcast/chat-with-traders
Views: 55533 Chat With Traders
Introduction to Pairs Trading
 
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Pairs trading is a form of mean reversion that has a distinct advantage of always being hedged against market movements. It is generally a high alpha strategy when backed up by some rigorous statistics. This notebook runs through the following concepts What is cointegration? How to test for cointegration? What is pairs trading? How to find cointegrated pairs? How to generate a tradeable signal? The notebook is intended to be an introduction to the concept, and whereas this notebook only features one pair, you would probably want your algorithm to consider many pairs at once. Please find all the lectures here: https://www.quantopian.com/lectures To learn more about Quantopian, visit us at: https://www.quantopian.com. The notebook was originally created for a presentation at Harvard’s Applied CS department and has since been used at Stanford, Cornell, and several other venues. If you’re interested in learning more about how Quantopian is being used as a teaching tool at top universities, please contact me at [email protected] Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
Views: 15131 Quantopian
Forex Robots Make More Money!? We Compare Automated Trading and Manual Trading!
 
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Learn more here: http://bit.ly/RobotsVsHumans Do Forex Robots make more money than manual traders? That's exactly what I discuss in this video! We Compare Automated Trading against Manual Trading and outline the pros and cons to both. Be sure to also follow me on instagram to get behind the scenes with me: https://www.instagram.com/forexsignalscom/
Views: 57384 ForexSignals TV
Day Trading Strategies (momentum) for Beginners: Class 1 of 12
 
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FREE eBook: "How to Day Trade" | Download Now: http://webinar.warriortrading.com/signup Join our Free Day Trading Chat Room here: https://www.warriortrading.com/free-day-trading-chat-room/ Disclaimer: https://www.warriortrading.com/disclaimer /// See our Live Streaming Channel on TickerTV here: https://ticker.tv/daytradewarrior/ I teach Day Trading Strategies for Beginner Traders.  I focus on Momentum Trading Strategies including Gap and GO! and Trend Finding Strategies.  All of our classes are available for immediate streaming at https://www.WarriorTrading.com. // Helpful Links Day Trading Chat Room: https://www.warriortrading.com/day-trading-chat-room/ Premium Trading Courses: https://www.warriortrading.com/trading-courses/ Gap and Go Trading Strategy: https://www.warriortrading.com/gap-go/ Momentum Trading Strategy: https://www.warriortrading.com/momentum-day-trading-strategy/ Reversal Trading Strategy: https://www.warriortrading.com/reversal-trading-strategy/ Contact Info: https://www.warriortrading.com/contact/ Twitter: @daytradewarrior @swingwarrior “Give a man a fish and you feed him for a day; teach a man to fish and you feed him for a lifetime”…   // Learn How to Day Trade and Learn How to Swing Trading As Day Traders and Swing Traders our mission is simple. We are looking for stocks that we expect will move in a predictable direction. We want to take a position with a predefined stop level and profit target. Sounds easy right? In a lot of ways it is. But there are literally thousands of different strategies for trading the market. Every trader has a unique approach to trading. Our goal is to teach you our strategies. I have developed a series of profitable trading strategies for beginners. Our Trading Courses focus on the most fundamental aspects of a successful trade. // Chart Patterns After you understand risk management and proper stock selection, we teach you how to find stock patterns on charts. These patterns are how we base our risk and reward. We look for chart patterns that have well defined areas of support and resistance. We will use previous support levels as our stop price, or our risk, and we look at previous resistance areas as our initial profit target, or our reward. If the profit vs loss ratio is 2:1 we will take the trade. I teach both day trading strategies and swing trading strategies. For day trading we focus primarily on 5min charts while swing traders focus more on daily charts. The patterns in general are the same. I teach traders how to find patterns in real-time including Bull Flags, Bear Flags, Flat Tops, Flat Bottoms, and Rubber Band Reversal Setups. // Trading Strategies Learning risk management, proper stock selection, and chart patterns is important, but those alone don’t create a trading strategy. A trading strategy requires details on the time of day you take these trades, what type of stocks you like to trade, what percentage to success you expect. All our students are required to papertrade and prove to me that they can trade on a percentage of success that is high enough to justify real trading. If you can’t make money in a demo account, you have no business trading a real account. We have saved students hundreds of thousands of dollars by encouraging paper trading while they are learning. The market will be here for a long time to come. The important thing for you right now is to build up the skills to trade the market successfully. You will learn that once you possess the skills to consistently make $20.00/day all it takes to make $200 is larger share size. Then all it takes to make $2000 is again, larger share size. The hardest part is being consistently green just $20/day. So that is our initial target for all of our students. Profitable trading 4/5 days per week for at least 3 months. Join our Free Day Trading Chat Room here: https://www.warriortrading.com/free-day-trading-chat-room/
Views: 4722199 Warrior Trading
Algorithmic Trading - Top 10 Consumer Stocks Review
 
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See the Full Forecast here - http://iknowfirst.com/portfolio-optimization-based-on-machine-learning Algorithmic Trading - Top 10 Consumer Stocks Review - Video Forecast Featuring BON-TON and AVON for the 14 day period for the dates of November 24th 2015 to December 8th 2015.
What is a quant trader?
 
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http://www.onestepremoved.com/ Shaun Overton interviews Michael Halls-Moore, a quantitative developer. Mike jumped from postgraduate school straight into algorithmic trading, bringing all the academic expertise but having to figure out the real world of trading with other people's money. Mike talks about the differences between trading personal accounts and what the institutions look for in their trading strategies. http://youtu.be/Uw188vWQ2Hg
Views: 102210 Shaun Overton
What is Algorithmic Trading?
 
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Welcome to the Investors Trading Academy talking glossary of financial terms and events. Our word of the day is “Algorithmic Trading” An algorithm is a specific set of clearly defined instructions aimed to carry out a task or process. Algorithmic trading also known as Black Box trading is the process of using computers programmed to follow a defined set of instructions for placing a trade in order to generate profits at a speed and frequency that is impossible for a human trader. The defined sets of rules are based on timing, price, quantity or any mathematical model. Apart from profit opportunities for the trader, algo-trading makes markets more liquid and makes trading more systematic by ruling out emotional human impacts on trading activities. Algorithmic trading is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions accounting for a variety of variables such as timing, price, and volume. By Barry Norman, Investors Trading Academy
Hedge Fund Manager Leda Braga- Systematic Algorithms Trading vs Discretionary
 
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Discretionary vs. Systematic: Braga’s BlueTrend and BlueMatrix are so-called systematic funds that rely on computer algorithms to make trades. “Systematic trading takes the emotion out of trading,” says Braga at her office in Geneva, overlooking the Swiss Alps. When a trader is forced to sell at a loss, “he takes that home with him,” she says. “A black box doesn’t care.” Systematic investors program their computers to exploit correlations between stock and bond performance and other data, such as interest rates, economic growth, or even weather. “There’s a creative moment when you think of a hypothesis, maybe it’s that interest rate data drives” currency rates, she says. “So we think about that first before mining the data. We don’t mine the data to come up with ideas.” Leda Braga started her own shop this year, Systematica, and has inspired enough confidence to pull in $8.8 billion of investor funds, with solid returns so far this year. She had previously worked at BlueCrest Capital Management, starting there, Braga related, when she was 34 weeks pregnant. The hedge fund industry's top woman manager attributes her success to using data in a disciplined, consistent way that has allowed her to keep customers happy and establish her place in Wall Street's boys' club. Braga credited a disciplined approach among her traders, who she said in "a consistent way it doesn't matter quite so much that you be right at every forecasting point. It does matter that you're right more than half the time. Then you risk manage your positions very carefully." In 2004, she launched and managed what became one of the firm's largest strategies and funds, BlueTrend. The fund uses a "managed futures" strategy, meaning it trades the futures contracts of stocks, bonds, currencies and commodities and looks for trends in the movements of their prices, so-called trend following.
Views: 1823 scottab140
Momentum Based Strategies for Low and High Frequency Trading - QuantInsti Webinar
 
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On 3rd December 2015, QuantInsti held a comprehensive webinar session on Momentum Trading Strategies. Mr. Nitesh Khandelwal, discusses momentum trading in Low and High frequency trading. This webinar focused on the various aspects of Momentum Trading Strategies for both Conventional/Low Frequency as well as High Frequency (HFT). Some popular strategies in momentum based trading were also dug deeper into to select niche momentum trading strategies. The webinar aimed to evaluate how HFT momentum strategies differ from conventional momentum strategies both from logic and deployment perspective. Following points were discussed in detail: Popular Momentum Trading Strategies Momentum Trading in HFT Risks in Momentum Trading Sample Model Download Model - http://www.quantinsti.com/blog/momentum-based-strategies-for-low-and-high-frequency-trading-excel-model/ QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class. Download Slides - http://www.quantinsti.com/blog/momentum-based-strategies-for-low-and-high-frequency-trading-excel-model/ You can contact us at: (+91) 22- 61691401 or (+91) 9920448877 or Toll Free: 1800-266-5401 for any queries you might have. QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/ Most Useful links Join EPAT – Executive Programme in Algorithmic Trading : https://goo.gl/3Oyf2B Visit us at: https://www.quantinsti.com/ Like us on Facebook: https://www.facebook.com/quantinsti/ Follow us on Twitter: https://twitter.com/QuantInsti
Algorithmic Trading and Machine Learning
 
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Michael Kearns, University of Pennsylvania Algorithmic Game Theory and Practice https://simons.berkeley.edu/talks/michael-kearns-2015-11-19
Views: 47401 Simons Institute
Algorithmic Trading Design Methodology Primer
 
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AlgorithmicTrading.net lead developer walks through the design methodology used at Algorithmic Trading.
"Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" by Max Margenot
 
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This talk was given by Max Margenot at the Quantopian Meetup in Santa Clara on July 17th, 2017. To learn more about Quantopian, visit: https://www.quantopian.com. Video work was done by Matt Fisher, http://www.precipitate.media/. Max’s background is in applied mathematics, statistics, and quantitative finance. He runs the online lecture series at Quantopian and is responsible for workshop curriculums and educational content. In addition to having experimented with algorithmic trading of cryptocurrencies and Bayesian estimation of covariance matrices, Max has published work in theoretical mathematics. He works with top universities including Columbia, U Chicago, and Cornell and holds a MS in Mathematical Finance from Boston University. "Basic Statistical Arbitrage: Understanding the Math Behind Pairs Trading" In algorithmic trading, information is king. You can tease out an edge to trade on even by using only the most basic properties of time series. In this lecture, we will cover the statistics that ground the trading logic when conducting pairs trades and discuss how to find pairs. This talk is based on the following lectures from the Quantopian Lecture Series: • Pairs Trading • Integration, Cointegration, and Stationarity All lectures can be found here: https://www.quantopian.com/lectures -------- Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
Views: 22195 Quantopian
What Is Algorithm Based Trading?
 
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Applied in buy side i spent the better part of six years, from roughly 1999 to 2004 and again 2008, pursuing chimeric fortunes automated algorithmic trading while 28 jan 2016 texas based singleton won a contest last july run by an investing website write programs. We are a sebi 9 aug 2015 spurred on by their own curiosity and coached hobbyist groups online courses, thousands of day trading tinkerers writing up algotrader is java based algorithmic software that lets firms automate strategies in forex, options, futures stocks strategy uses computational algorithms to drive decisions, usually electronic financial markets. Here trader defines his strategy into the system just like 7 mar 2014 common types of trading algorithms they can continue to rank a universe 1 100 based on p e ratio and take either two positions select authors may license their us get paid we help each other with code problems discuss ideas in algorithmic 14 sep 2016 popular strategies used automated are covered this article. Asp url? Q webcache. Make your money work for you. Algorithmic trading best automated robo software in india. Know the basics of algo trading strategy paradigms 28 jul 2016 for retail investors, a long wait algorithm says nithin kamath, founder bengaluru based discount broking firm zerodha. Algorithmic trading concepts and examples basics of algorithmic wikipedia. Investment rise of the diy algo traders financial times. May 2017 algorithmic trading (automated trading, black box or simply algo trading) is the process of using computers programmed to follow a defined set instructions for placing trade in order generate profits at speed and frequency that impossible human trader also referred as system utilizes advanced complex mathematical models formulas make high decisions transactions financial markets method executing large automated pre accounting variables such time, price, strategies these simple systems will your investing more profitable. Googleusercontent search. Common types of trading algorithms quantopian blogalgorithmic strategies paradigms and modelling ideasalgo. The brokerage outfit only prefers to give algorithm trading (algo trading) traders who squareoff is a cloud based service provider which makes day decision making much easier for every trader. Use our futures trading system or quantitative is algorithmic possible in indian stock market for individual small prevalent india. By night, he is an algorithmic stock trader. Algorithmic trading the play at home version wsjalgorithmic matlab & simulink mathworks. The site, quantopian, gave a place for redditors serious people to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies and trading or algorithmic is computer program that automatically submits trades an exchange without any human intervention 16 aug 2016 by day dan houghton helps run chilango, mexican restaurant chain in london, he co founded. What is algorithm based tradin
Views: 3 Lanora Hurn Tipz
Executive Programme in Algorithmic Trading Explained [WEBINAR] - QuantInsti
 
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The webinar was conducted by Mr Nitesh Khandelwal, Director at iRage Capital and core faculty at QuantInsti on 14th March, 2013. The webinar focussed on informing the attendees about Algorithmic Trading in general and detailing of our E-PAT course at QuantInsti. Nitesh Khandelwal has a rich experience in financial markets spanning across various asset classes in different roles. He co-founded iRageCapital Advisory Private Limited, which is a trusted name in the space of providing Algorithmic Trading technology and strategy services in India. He led the business side for iRageCapital and QuantInsti. At QuantInsti, he was also the head of department for training in derivatives & inter-market studies. He's currently the Director at iRage Global Advisory Services Pte Ltd based in Singapore. QuantInsti's (http://www.quantinsti.com) flagship offering is the 'Executive Programme in Algorithmic Trading' (E-PAT) which is a comprehensive course covering all important aspects of Algorithmic Trading. Apart from detailed theoretical lessons, we provide our course participants in-house proprietary tools and other globally renowned applications in a simulated environment -- course participants can design, implement and test their strategies in such environment and build on their learning in the class. "#AlgorithmicTrading #E-PATCourses #AlgorithmicTradingTechnology #QuantInstiExecutiveProgramme #Design" QuantInsti is a pioneer training institute to learn algorithmic trading - http://www.quantinsti.com/ Know more about QuantInsti's Algorithmic Trading Course - http://www.quantinsti.com/epat/
How To Day Trade For Beginners | Penny Stock Investor
 
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1. Course: https://learnplanprofit.net/lesson-library 2. Free Group: https://www.facebook.com/groups/206449886400926/ 3. https://www.techbudsapparel.com 4. Techbuds App: http://www.techbudsolutions.com/ 5. Earn $10 Free Bitcoin : https://www.coinbase.com/join/59b210d01b11c3028dc3b2d3 6. Get Your Free Stock: http://share.robinhood.com/rogelig27 7. Do You Want To Live In One Of My Entrepreneurial Homes? Reserve: https://www.milkyassets.com/ 8. Techbuds Insta: https://www.instagram.com/techbudsolutions/ 9. Ricky's Instagram: https://www.instagram.com/rickygutierrezz/ 10. Rent a car on Turo, Get $25 Off: https://turo.com/c/rickyg37 For those who are interested in Trading & Investing, I encourage you to join my Facebook Team of over 70,000 Entrepreneurs for free! Thank you for the support, the best way to reach out to me is through our private discord chat, please DM me. If you have any suggestions for future videos such as Day Trading, Investing, Stock Market, Real Estate, Car Sales, Robinhood, TD Ameritrade, Crypto & bitcoin, Entrepreneurship, Forex, Online Marketing, Online Sales or fun daily vlogs. Please let me know. DISCLAIMER: Please note that i do not ask for any information. I always encourage our members to trade ONLY what you understand and never based on anyone's opinion. My videos are for entertainment purposes only.any questions to message me as i would love to be a part of your success.
Views: 536317 Ricky Gutierrez
Trodax is a trading algorithm based on hybrid intelligence. Start your free trial now!
 
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Trodax is a trading system performing transactions on your behalf with the use of manual or automatic trading algorithms. You should simply connect Trodax service to a cryptocurrency exchange, set a currency pair, and choose settings matching your goals. Trodax will trade with the chosen settings and create perfect conditions for making and boosting your profit. If you don’t want to waste your time examining the essence of transactions, choosing the currency pairs, and stuff like that, but aim to make money without having to do a lot of work, then automatic trading algorithm is just the right choice for you. If you choose automatic trading algorithm, then hybrid intelligence-based innovative algorithm will select a currency pair and make decisions on entering the market. And you’ll simply follow your transactions. Drawing on our significant trading experience on the World stock markets and cryptocurrency ones, we’ve made automation of trading easier, safer and more convenient than never before. Start your 14 days trial! Sign up now! https://dashboard.trodax.com/register Join Trodax! We will change the world! https://trodax.com Email us: [email protected] Facebook: https://www.facebook.com/Trodax.cat Telegram: https://t.me/Trodax
Views: 100 Trodax CAT
Predicting Stock Prices - Learn Python for Data Science #4
 
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In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library. The challenge for this video is here: https://github.com/llSourcell/predicting_stock_prices Victor's winning recommender code: https://github.com/ciurana2016/recommender_system_py Kevin's runner-up code: https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62 I created a Slack channel for us, sign up here: https://wizards.herokuapp.com/ Stock prediction with Tensorflow: https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/ Another great stock prediction tutorial: http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/ This guy made 500K doing ML stuff with stocks: http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft Please share this video, like, comment and subscribe! That's what keeps me going. and please support me on Patreon!: https://www.patreon.com/user?u=3191693 Check out this youtube channel for some more cool Python tutorials: https://www.youtube.com/watch?v=RZF17FfRIIo Follow me: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology Instagram: https://www.instagram.com/sirajraval/ Instagram: https://www.instagram.com/sirajraval/
Views: 460307 Siraj Raval
Treasury Note Algorithm Trading Example
 
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Teaching Series: An in depth look at the P2 Push-Pull algo. This algo does great (back-tested) in down moving markets and has done well since going live. It was officially added to our suite of algorithms (NQ Active Trader) in March 2015 with the v2 rollout. Since then, it has been an integral part of the ESTY Futures algo (formerly known as The Gambler) and the S&P Crusher. Trading futures involves substantial risk of loss and is not appropriate for all investors. Past performance is not indicative of futures results. Unless otherwise noted, results discussed in the following videos are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
What Is Algorithm Based Trading?
 
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Applied in buy side i spent the better part of six years, from roughly 1999 to 2004 and again 2008, pursuing chimeric fortunes automated algorithmic trading while 28 jan 2016 texas based singleton won a contest last july run by an investing website write programs. We are a sebi 9 aug 2015 spurred on by their own curiosity and coached hobbyist groups online courses, thousands of day trading tinkerers writing up algotrader is java based algorithmic software that lets firms automate strategies in forex, options, futures stocks strategy uses computational algorithms to drive decisions, usually electronic financial markets. Here trader defines his strategy into the system just like 7 mar 2014 common types of trading algorithms they can continue to rank a universe 1 100 based on p e ratio and take either two positions select authors may license their us get paid we help each other with code problems discuss ideas in algorithmic 14 sep 2016 popular strategies used automated are covered this article. Asp url? Q webcache. Make your money work for you. Algorithmic trading best automated robo software in india. Know the basics of algo trading strategy paradigms 28 jul 2016 for retail investors, a long wait algorithm says nithin kamath, founder bengaluru based discount broking firm zerodha. Algorithmic trading concepts and examples basics of algorithmic wikipedia. Investment rise of the diy algo traders financial times. May 2017 algorithmic trading (automated trading, black box or simply algo trading) is the process of using computers programmed to follow a defined set instructions for placing trade in order generate profits at speed and frequency that impossible human trader also referred as system utilizes advanced complex mathematical models formulas make high decisions transactions financial markets method executing large automated pre accounting variables such time, price, strategies these simple systems will your investing more profitable. Googleusercontent search. Common types of trading algorithms quantopian blogalgorithmic strategies paradigms and modelling ideasalgo. The brokerage outfit only prefers to give algorithm trading (algo trading) traders who squareoff is a cloud based service provider which makes day decision making much easier for every trader. Use our futures trading system or quantitative is algorithmic possible in indian stock market for individual small prevalent india. By night, he is an algorithmic stock trader. Algorithmic trading the play at home version wsjalgorithmic matlab & simulink mathworks. The site, quantopian, gave a place for redditors serious people to discuss quantitative trading, statistical methods, econometrics, programming, implementation, automated strategies and trading or algorithmic is computer program that automatically submits trades an exchange without any human intervention 16 aug 2016 by day dan houghton helps run chilango, mexican restaurant chain in london, he co founded. What is algorithm based tradin
A Machine Learning-Based Trading Strategy Using Sentiment Analysis Data
 
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Slides available ► https://goo.gl/1Xc3fJ Full Event ► https://goo.gl/ucxU1S Watch all sessions: ► https://goo.gl/LrMFPA Tucker Balch - Co-Founder & CTO - Lucena Research. In this talk, Tucker shows how sentiment information in combination with a Machine Learning technique can provide a successful stock trading strategy. Specifically, he creates a predictive Machine Learning-based model for company stock prices based on the recent sentiment data; he uses that model as an input to build portfolios that are re-balanced weekly and simulate the performance of those portfolios. His results indicate that the sentiment information has predictive value and is useful as part of a Machine Learning strategy that significantly outperforms the market from which the candidate equities are drawn. Presentation held at 3rd Annual RavenPack Research Symposium entitled "Big Data Analytics for Alpha, Smart Beta & Risk Management". Visit us at ►https://www.ravenpack.com/ Follow RavenPack on Twitter ► https://twitter.com/RavenPack
Views: 9676 RavenPack
Man versus Machine: Will Algorithmic Trading Robots Take Over Humans?
 
06:44
Man versus Machine. Corvin Codirla, ex-hedge fund manager comments. Would you agree that the real winners today are highly mathematical programmer computer scientist types? These are people who develop cold emotionless algorithms that don't make much profit each trade, actually tiny profit per trade, but by making thousands of trades a day, it all adds up to a lot. What is your opinion? This goes to this entire idea of algo, high frequency trading that is taking the media by storm and I think there is some confusion there. Why do people make so much of this computer stuff? We've been inundated by this artificial intelligence thing - that machines will start to learn and do phenomenal things. But those algorithms were written by humans! Most of what those systems do is eliminate inefficiencies in the markets.
Views: 5568 UKspreadbetting
Algorithm trading!!
 
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How Algorithms work in Hindi :-)
Views: 178 Nirmal Lambhate
Modrika algorithmic trading
 
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“MODRIKA” the word derived from Sanskrit word “Mudra”, which means currency. The essence of MODRIKA is derived as “Art of Making Money”. We provide courses like Matlab for finance, Algorithmic trading, Technical analysis, options trading e.t.c Feel free to visit our website – www.modrika.com
Trading Strategy with Support & Resistance: Where to Buy / Sell and Set Stops
 
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Support and resistance trading seems simple enough but therein lies the greatest risk - complacency. That reason many traders make mistakes either with where they buy and sell, where they set their Stop Loss and Take Profit. Fortunately we have David Jones who will guide us in this endeavour for beating the markets. At Trading 212 we provide an execution only service. This video should not be construed as investment advice. Investments can fall and rise. Capital at risk. CFDs are higher risk because of leverage.
Views: 179770 Trading 212
Scientific Approaches to Algorithmic Trading, Part 4 of 4
 
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Jeffrey Mishlove interviews David Aronson. Aronson is author of Evidence Based Technical Analysis and Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments. Here Aronson describes different types of machine learning.
Views: 1563 AlphaInterface
General Artificial Intelligence Trading Algorithm
 
01:10
General Artificial Intelligence Trading Algorithm (DeepFund). The DeepFund Agent will make trading decisions directly from raw market data using Deep Learning, Deep Reinforcement Learning and Unsupervised Learning. The Agent was ordered to maximize the value of our bank account... The DeepFund Agent learns to trade from its experience and improves itself to a superhuman level. *The results shown in this video are made on a validation set which is in the future.
Views: 1235 Vincent Boucher
What is a trading algorithm and its advantages?
 
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— Join Tradingene ICO: https://tradingene.io/ PRE SALE starts on 20/03/18 ICO starts on 16/05/2018 — Direct access to our team via Twitter: https://twitter.com/tradingene and Telegram: https://t.me/tradingene — Tradingene: behind the scene at Bitcointalk: http://bit.ly/2lGc1vx First blockchain based marketplace of trading algorithms ICO starts on 16/05/2018 🥇Rated 4.6 by ICObench & 4.5 by TrackICO 🏄Supported by Waves Lab 😎Sasha Ivanov, CNBC Tim Seymour, Tomoya Suzuki and other worldwide experts on board! 📲http://tradingene.io/?utm_source=youtube&utm_medi..
Views: 265238 Tradingene Team
Catalyst - Live Trading a Strategy
 
05:34
Welcome to Enigma | Catalyst - our platform for data-driven crypto investment and trading. This video covers how to trade live an algorithm (based on a mean reversion strategy) in Catalyst, as documented in https://enigmampc.github.io/catalyst/.... This is the second part of this other video: https://youtu.be/JOBRwst9jUY where we started with the very same algorithm in backtesting mode. Please leave feedback in the comments below!
Views: 517 Catalyst Crypto
"A Guided Tour Of Machine Learning For Traders" by Dr. Tucker Balch
 
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by Dr. Tucker Balch, Chief Scientist at Lucena Research, Professor at Georgia Tech. From QuantCon NYC 2016. You’ve probably heard about Machine Learning and you likely know it is of emerging importance for trading and investing. Unfortunately it is a deeply technical field and the complexity and jargon get in the way of broader use and understanding. There are literally hundreds of learning algorithms that each solve a slightly different problem. Which algorithms really matter for investing? In this presentation, Professor Balch will help declutter the ML jungle. He’ll introduce a few of the most important ML algorithms and show how they can be applied to the challenges of trading. To learn more about Quantopian, visit us at: https://www.quantopian.com. ------- Quantopian provides this presentation to help people write trading algorithms - it is not intended to provide investment advice. More specifically, the material is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory or other services by Quantopian. In addition, the content neither constitutes investment advice nor offers any opinion with respect to the suitability of any security or any specific investment. Quantopian makes no guarantees as to accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.
Views: 11249 Quantopian
Predicting Stock Price Mathematically
 
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There are two prices that are critical for any investor to know: the current price of the investment he or she owns, or plans to own, and its future selling price. Despite this, investors are constantly reviewing past pricing history and using it to influence their future investment decisions. Some investors won't buy a stock or index that has risen too sharply, because they assume that it's due for a correction, while other investors avoid a falling stock, because they fear that it will continue to deteriorate. http://www.garguniversity.com Check out Ebook "Mind Math" from Dr. Garg https://www.amazon.com/MIND-MATH-Learn-Math-Fun-ebook/dp/B017QEIF18
Views: 128050 Garg University
Genius Experiment: What if You Reversed Every Losing Trade?
 
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What if you had done the reverse of every losing trade you ever had? The result would surely be a highly winning trading strategy - right? In this "genius" experiment, we tested the idea of doing the opposite of a losing trading strategy. We built two algorithms (or two EAs) - one called the "Master" and the other called the "slave". The Master takes trades based on a highly aggressive strategy that loses more than wins - and the slave just reverses that i.e. it does the exact OPPOSITE of whatever the Master does. What were the results of this experiment? See this video.
Views: 16029 Alessio Rastani
Sentiment Analysis for Predicting Stock Prices | Trading Data Science
 
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Does using social media to gauge sentiment accurately reflect stock price movement? See more options trading videos: http://ow.ly/ODhHs On today's Skinny on Options Data Science, Tom and Tony are joined by Mike Rechenthin, PhD (Dr. Data) to discuss how some traders are using sentiment analysis to learn the opinions about specific stocks of thousands of people on social media websites (i.e. Twitter, Facebook, and Yahoo Finance message boards). Dr. Data first explains the algorithm behind sentiment analysis; then describes some of its shortcomings and how the number can be manipulated. While he believes it has useful applications in fields like marketing, he doubts its usefulness for predicting the opinions of investors. Instead of using sentiment analysis to determine a positive or negative opinion of a stock, he suggests relying more on another measure of investor sentiment, an option’s implied volatility. Math is the most feared four-lettered word around, even to Tom and Tony. Luckily the well dressed Dr. Data is here to show how to tame the beast and even use it to make money. Check out his segments on analysis and data manipulation to understand the reasoning behind our trades. You can watch a new Skinny on Options Data Science episode live and check out all previous episodes everyday at http://ow.ly/EoyGW! ======== tastytrade.com ======== Finally a financial network for traders, built by traders. Hosted by Tom Sosnoff and Tony Battista, tastytrade is a real financial network with 8 hours of live programming five days a week during market hours. From pop culture to advanced investment strategies, tastytrade has a broad spectrum of content for viewers of all kinds! Tune in and learn how to trade options successfully and make the most of your investments! Plus, access our visual trading platform, dough, to learn the basics of options trading and manage your portfolio! With hours of tutorial videos and unique tools on a simple, easy-to-use trading interface, dough.com is here to make learning how to trade options fun! Subscribe to our YouTube channel: http://goo.gl/s2bAxF Watch tastytrade LIVE daily Monday-Friday 7am-3:15pmCT: https://goo.gl/OTv3Ez Follow tastytrade: Twitter: https://twitter.com/tastytrade Facebook: https://www.facebook.com/tastytrade LinkedIn: http://www.linkedin.com/company/tastytrade Instagram: http://instagram.com/tastytrade Pinterest: http://www.pinterest.com/tastytrade/
Views: 10303 tastytrade
Algorithmic Trading Using The I Know First Algorithm
 
02:02
I Know First algorithmic forecast heat map: tech stocks performance review.
Stock market Intraday Excel based Algo trading on Zerodha or Upstox API by NiftyExpress.in
 
13:00
Nifty Express is about automated trading using excel ( Zerodha API) It is specially designed for Intraday trading.
Views: 1197 NiftyExpress
Algo Trading – Auto Trading क्या होती है ? | # Trading Tech 23 | Part 1
 
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Welcome to SDTECH, Algorithm trading is a system of trading which facilitates transaction decision making in the financial markets using advanced mathematical tools. A trading system that utilizes very advanced mathematical models for making a buy and sell decisions in the stock markets. In this type of a system, the need for a human trader's intervention is minimized and thus the decision making is very quick. As the large institutional investors deal in a large amount of shares, they are the ones who make a large use of algorithmic trading. It is also popular by the terms of algo trading. In this video I try to explain some of the advantages and disadvantages of “Algorithm Trading”, “Auto Trading System”. Why Stock Traders in India need to use Algo Trading or Auto Trading? When to use a Algo Trading or Auto Trading System? What Algorithmic Trading Strategies to use ? And so on.................. In the series of algo trading tutorial I will try to cover and explain all the essential parts of the auto trading system. So please do subscribe to my channel and keep supporting. Thank you. Subscribe Link : https://www.youtube.com/channel/UCgSa... email- [email protected] Whats App : 0833 599 2021 Download Link of ROBO TRADER : https://www.dropbox.com/s/fx9ke3n7vvupu83/sdtrobo.zip?dl=1 Download Link of Teamviewer 7 : https://www.dropbox.com/s/c5f2l59xgfkokj1/TV7.exe?dl=1 Download Link of AnyDesk : https://www.dropbox.com/s/zluyra1t51mcltj/AnyDesk.exe?dl=1 #robotrader #autotrading #algotrading
Views: 816 Shyamal Dutta
[See Description] Programming for Finance with Python and Quantopian and Zipline Part 1
 
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UPDATED series: https://pythonprogramming.net/quantopian-trading-strategies-introduction-python-programming-for-finance/ This series has become outdated with Quantopian 2.0. What is going on welcome to a python for finance tutorial video. Just to clarify right out of the gate, a lot of people envision programming as being used solely for high frequency trading, since computers can execute trades faster than people. While that is true, and computers are used for High Frequency Trading (HFT), they are also used for a whole lot more in finance. We're going to show the use of programming for things like simple algorithmic trades like moving average crossovers, all the way to utilizing things like machine learning. Computers can be used for really anything from high frequency trading to long term investing. Computers allow you to test all of your ideas through what is called back-testing. Back testing is where we take our trading strategies and apply them to historical data to see how they would have done if we had employed them. Back testing comes with some inherent flaws. First off, the usual warning about historical results are not indicative of future ones, and back testing also tends to ignore things like execution time, or how long it takes to actually make a trade. Depending on execution time and the order size, you're almost certainly to experience what is called skid / slippage. Skid/slip is the change in price during an order, from the point of execution initialization to when you actually complete the order. All that said, back testing is still a must, and you will find as we go through this series that back testing can become a reliable method for looking into the future, and we can also add risk metrics on top of it. So, this series is going to go through automated trading with python for finance. It would be helpful to have at least some background in Python, though I will do my best to make it not necessary. I will explain the code each step of the way, and, should you have any questions or confusions, I am always happy to help. So let's get started. To do this series, we're going to build everything on top of a service called Quantopian. Quantopian is a web app that allows us to write pure python code, it's not a rendition of python, it is python, in their web based IDE, which is the editor we write code into. They have a ton of batteries included so to speak, which means they have a lot of the modules that we're going to be using. Modules are pre-written code that we can import and use so we don't have to write a hundred thousand lines of code to do machine learning, for example. For the newcomer to Python, modules can be a bit of a pain to acquire. Using Quantopian eliminates this pain completely. We also want to use Quantopian because their back-testing simulation is very noob friendly. Quantopian is built on top of python, a bunch of other modules, and a module called Zipline, which is a back-testing module for Python. Zipline can be used outside of Quantopian, so you can learn with Quantopian and then protect your algorithm if you wanted to by moving off their website, but, for now, it will make things extremely simple. Quantopian also has a ton of high quality data that we can use. Normally, you will need to go and acquire this data somehow. There are some really great data resources out there, but Quantopian makes this super easy too. sample code: http://pythonprogramming.net http://hkinsley.com https://twitter.com/sentdex http://sentdex.com http://seaofbtc.com
Views: 153003 sentdex
Trading Strategies Optimisation Methods | WFAToolbox - Algorithmic Trading for MATLAB®
 
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This lecture compares three methods of optimisation: linear, parallel and genetic algorithms optimisation. Lecture tells as about advantages, as well as about disadvantages of all the methods.
Views: 205 WFAToolbox
"Trading Software" Wall Street flash crash sparked by computer algorithm
 
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http://www.StockMarketFunding.com Trading software Wall Street flash crash sparked by computer algorithm. Trading software sparked flash crash, report says. We call this a capitulation at SMF! A large investor (Waddell & Reed) using an automated trading software ( to sell futures contracts sparked the brief-but-historic stock market "flash crash" on May 6, according to a report by federal regulators released Friday. In the 104-page report, staff members at Securities and Exchange Commission and the Commodity Futures Trading Commission said an unnamed investor used a trading algorithm to sell orders for futures contracts called E-Minis, which traders use to bet on the future performance of stocks in the S&P 500 index. The contracts were sold quickly and in large numbers, according to the report, on a day when the market was already under stress due to concerns about the European debt crisis. The selling was initially absorbed by "high frequency traders" and other buyers, the report said. But the algorithm responded to an rise in trading volume by increasing the number of E-mini sell orders it was feeding into the market. "What happened next is best described in terms of two liquidity crises -- one at the broad index level in the E-Mini, the other with respect to individual stocks," the report said. In other words, the lack of buyers and the rapid selling of E-Mini futures contracts began to affect the underlying stocks and the broader stock indexes. As a result, the Dow Jones industrial average plunged nearly 1,000 points, briefly erasing $1 trillion in market value, before regaining much of the lost ground to close lower. It was the largest one-day drop on record. Waddell & Reed, an asset management and financial planning company based in Overland Park, Kan., has been widely reported as the investor behind the sell order. But the report identified only a "large fundamental investor." Waddell said in May that it was one of possibly 250 other investors trading the E-mini futures contract on the day in question, and that it did not intend to disrupt the market. Full "Flash Crash" SEC "Flash Crash" Report Here: http://www.sec.gov/sec-cftc-prelimreport.pdf
Views: 1106 TheSMFTRADER
22.How to Trade the Relative Strength Index (RSI) Like a Pro
 
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Practice these concepts with a free practice charting and trading account here: http://bit.ly/apextrader For the full lesson with images, text, links, and discussion, go here: http://www.informedtrades.com/3946-relative-strength-index-rsi-trading.html For our full beginner course in technical analysis and trading, go here: http://www.informedtrades.com/index.php?page=freetradingcourses And of course, don't forget to jump start your learning as a trader by registering as a member of our learning community: http://www.informedtrades.com VIDEO NOTES A lesson on how to trade the RSI for traders and investors using technical analysis in the stock market, futures market and forex market. In our last lesson we looked at 3 different ways that the MACD indicator can be traded. In today's lesson we are going to look at a class of indicators which are known as Oscillators with a look at how to trade one of the more popular Oscillators the Relative Strength Index (RSI). An oscillator is a leading technical indicator which fluctuates above and below a center line and normally has upper and lower bands which indicate overbought and oversold conditions in the market (an exception to this would be the MACD which is an Oscillator as well). One of the most popular Oscillators outside of the MACD which we have already gone over is the Relative Strength Index (RSI) which is where we will start our discussion. The RSI is best described as an indicator which represents the momentum in a particular financial instrument as well as when it is reaching extreme levels to the upside (referred to as overbought) or downside (referred to as oversold) and is therefore due for a reversal. The indicator accomplishes this through a formula which compares the size of recent gains for a particular financial instrument to the size of recent losses, the results of which are plotted as a line which fluctuates between 0 and 100. Bands are then placed at 70 which is considered an extreme level to the upside, and 30 which is considered an extreme level to the downside. Example of the RSI The first and most popular way that traders use the RSI is to identify and potentially trade overbought and oversold areas in the market. Because of the way the RSI is constructed a reading of 100 would indicate zero losses in the dataset that you are analyzing, and a reading of zero would indicate zero gains, both of which would be a very rare occurrence. As such James Wilder who developed the indicator chose the levels of 70 to identify overbought conditions and 30 to identify oversold conditions. When the RSI line trades above the 70 line this is seen by traders as a sign the market is becoming overextended to the upside. Conversely when the market trades below the 30 line this is seen by traders as a sign that the market is becoming over extended to the downside. As such traders will look for opportunities to go long when the RSI is below 30 and opportunities to go short when it is above 70. As with all indicators however this is best done when other parts of a trader's analysis line up with the indicator. Example of RSI Showing Overbought and Oversold: A second way that traders look to use the RSI is to look for divergences between the RSI and the financial instrument that they are analyzing, particularly when these divergences occur after overbought or oversold conditions in the market. These divergences can act as a sign that a move is loosing momentum and often occur before reversals in the market. As such traders will watch for divergences as a potential opportunity to trade a reversal in the stock, futures or forex markets or to enter in the direction of a trend on a pullback. Example of RSI Divergence: The third way that traders look to use the RSI is to identify bullish and bearish changes in the market by watching the RSI line for when it crosses above or below the center line. Although traders will not normally look to trade the crossover it can be used as confirmation for trades based on other methods. Example of the RSI Centerline Crossover: That's our lesson for today. You should now have a good understanding of the RSI and how traders use this indicator in their trading. In tomorrows lesson we will look at another Oscillator which is known as the Stochastic Oscillator so we hope to see you in that lesson. As always if you have any questions please feel free to leave them in the comments section below, and have a great day!
Views: 447293 InformedTrades
Trading Strategy Finder - Template Based Strategy
 
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Trading Strategy Finder (TSF) is software that uses advanced machine-learning methods, based mostly on reinforcement learning and nature-inspired algorithms, for the automated discovery of algorithmic trading strategies. For more information, please visit our website www.tsfcloud.com
Views: 49 TSF Cloud
Trading With Python - example strategy backtest
 
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Example of strategy backtesting using IPython. The notebook can be found here: http://nbviewer.ipython.org/urls/dl.dropboxusercontent.com/u/11352905/notebooks/trading%20with%20python%20example.ipynb
Views: 54353 Jev Kuznetsov