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Algo Trading with REST API and Python | Part 1 - Connecting to the REST API
 
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Learn how to automate your trading strategy using FXCM's REST API and Python. In Part 1 of the Algo Trading Tutorial, you will learn how to: 1. Connect to the REST API, pull historical data, and subscribe to live prices 2. Build an algorithmic trading strategy and execute orders 3. Backtest and optimize a strategy using historical prices **Additional Resources** GitHub: Visit the GitHub repository for API documentation and resources for creating and backtesting your algorithmic trading strategy https://github.com/FXCM API Trading: FXCM offers APIs ideal to automate your trading strategy. Learn more about our REST API, FIX, JAVA, and ForexConnect offering https://www.fxcm.com/uk/algorithmic-trading/api-trading/ FXCM Python Wrapper: FXCM.py is a convenient pythonic way to interact and expose all the capabilities of our REST API with different Python classes https://www.fxcm.com/uk/algorithmic-trading/forex-python/ Market Data: Access historical bid/ask prices, volume, trader sentiment, and other ready-to-go trading tools https://www.fxcm.com/uk/algorithmic-trading/market-data/ Trading forex/CFD's on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits.
Views: 558976 FXCM
How to Build a Winning Machine Learning FOREX Strategy in Python: Getting & Plotting Historical Data
 
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In this video we are going learn how about the various sources for historical FOREX data. Primarily, we will be using data from Dukascopy bank. There are many other FOREX historical data sources that you need to pay for that will be of much higher quality. However, I feel that the data available for free at Dukascopy will be quite sufficient for our uses. Additionally, I give a demonstration on how to set up a plot that, in my opinion, is much easier/better looking than a plot using Matplotlib. Plotly is very flexible and can be used to generate many different plot types; I strongly recommend it. In the next video we will begin to construct functions that will return financial indicators. Down the road, we will use the indicators to train a machine learning algorithm to make binary price predictions. We will use a test dataset to backtest our strategy and adjust parameters to our liking. Useful links: **** DUKASCOPY HISTORICAL DATA FEED **** https://www.dukascopy.com/swiss/english/marketwatch/historical/ **** PYTHON FFN: FINANCIAL FUNCTIONS **** http://pmorissette.github.io/ffn/ **** PLOTLY **** https://plot.ly/ **** PANDAS DOCUMENTATION **** http://pandas.pydata.org/pandas-docs/stable/ **** TRADING VIEW **** https://www.tradingview.com/
Views: 18621 PythonParseltongue
Demo of FXCM Python package for forex trading
 
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Demo of FXCM Python package for forex trading Note that FXCM does not take US customers Try connecting by installing: http://quantlabs.net/blog/2018/04/demo-fxcm-python-package-forex-trading/
Views: 2464 Bryan Downing
BRAND NEW - The Python Forex Trading Robot
 
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Want to purchase the expert advisor? You can purchase here: https://tradernickfx.com/the-python-forex-robot/ In this video we talk about one of my all time FAVORITE robots I've created. It's called the Python Trading Robot, and I think you'll like it. Want to trade with me and my team? Send me a message! We'd be happy to have you join us. Trading shouldn't be hard, it shouldn't be complex. By joining us you'll be able to watch my trading and have access to a members chatroom full of experienced and dedicated traders. If you enjoy my content, please show your support by subscribing to the channel and joining my team to learn more on applying my strategy to trading like the banks. Have a great day friends! Connect with me! Telegram Channel: http://bit.ly/TraderNicksAnalysis Instagram: http://bit.ly/TraderNicksIG Email: [email protected]
Views: 2605 TraderNick
Tutorial: How to Integrate Python with MetaTrader 4 (with an example) - Part 1
 
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If you would like to use machine learning algorithms for trading and you would like to use a broker which only offers MetaTrader as the platform, this tutorial will enable you to get started. This is a 2 part tutorial. In this part, we'll go through the concepts and installations. Access to codes used in this tutorial: Edited MQL code: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/Python/ZeroMQ_MT4_Python_Template.py Python Class: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/Python/pythonicMT4.py Sample Algorithm: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/Python/test.py Links to the mentioned websites: Anaconda: https://www.anaconda.com/download/ Darwinex blog post: https://blog.darwinex.com/zeromq-interface-python-r-metatrader4/ mql-zmq library: https://github.com/dingmaotu/mql-zmq pyzmq library: https://github.com/zeromq/pyzmq Darwinex Github: https://github.com/darwinex/DarwinexLabs TA-LIB wrappers: https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib
Views: 9200 Python for Trading
How to Build a Winning Machine Learning FOREX Strategy in Python: Introduction
 
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An introduction to the construction of a profitable machine learning strategy. Covers the basics of classification algorithms, data preprocessing, and feature selection. Discussion of Python machine learning resources; including the Sentdex channel, and the Python Machine learning book. In the next video we will look at different data sources and how to clean the data. *** Sentdex Channel *** https://www.youtube.com/user/sentdex FOREX Playlist: https://www.youtube.com/playlist?list=PLQVvvaa0QuDe6ZBtkCNWNUbdaBo2vA4RO *** Python Machine Learning - Sebastian Raschka *** https://www.amazon.com/Python-Machine-Learning-Sebastian-Raschka/dp/1783555130/ref=sr_1_1?ie=UTF8&qid=1494223661&sr=8-1&keywords=python+machine+learning *** Python Resources *** SciKit-Learn Documentation: http://scikit-learn.org/stable/ *** FOREX Daily Trend Prediction Research Paper *** http://www.wseas.us/e-library/conferences/2011/Penang/ACRE/ACRE-05.pdf
Views: 34334 PythonParseltongue
Strategy Development with REST API and Python
 
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In this video our in-house programmer walks you through the process of developing a trading strategy in Python and connecting to FXCM’s REST API to stream live data into your strategy. For additional resources on algorithmic trading, python, machine learning, API, and more please visit https://www.quantnews.com/resources/ Remember that forex and CFD trading can result in losses that could exceed your deposited funds and therefore may not be suitable for everyone, so please ensure that you fully understand the risks involved. Any opinions, news, research, analyses, prices, or other information is provided as general market commentary, and does not constitute investment advice. FXCM will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
Views: 760 Quant News
How to use IBPy Python with Interactive Brokers TWS API For Automated Trading
 
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This tutorial covers how to use the IBPy Python programming module with Interactive Broker's Trader Workstation API (TWS API). We assume that Python is already installed on your machine. If not, head over to: https://www.python.org/download/ and download Python 2.7! The API is intended for Java, though the IBPy module is a Python wrapper around the Java API which allows us to use Python. This tutorial will teach you how to actually execute an order through the TWS API. We cover installation of IBPy as well as TWS. We also show what settings you need to modify in TWS to allow for automated trading. From here, we cover how to execute both a market order for stocks as well as a limit order. I hope you enjoy, if you have any questions or comments, please leave them below, thanks! http://seaofbtc.com http://sentdex.com http://hkinsley.com https://twitter.com/sentdex Bitcoin donations: 1GV7srgR4NJx4vrk7avCmmVQQrqmv87ty6
Views: 94668 sentdex
QuantInsti - Implement Algo Trading coded in Python using Interactive Brokers API
 
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The session is designed for beginners and professionals in the world of Automated trading with Python. The focus of the session would be on the applicability of IBridgePy, which is an open-sourced software used to connect to Interactive Brokers C++ API for execution of python codes in live markets. Conducted by Quantinsti
Views: 16630 Interactive Brokers
Algo Trading: Rest API & Python Wrapper
 
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FXCM's newest, ultra-flexible web-based REST API is now live and we’re going to show you how to get started with it. In this session, we’ll show you all about the value of FXCM’s free historical price data and how it can help you build an automated strategy using FXCM’s new REST API and Python Wrapper. For additional resources on algorithmic trading, python, machine learning, API, and more please visit https://www.quantnews.com/resources/ Remember that forex and CFD trading can result in losses that could exceed your deposited funds and therefore may not be suitable for everyone, so please ensure that you fully understand the risks involved. The guest speaker(s) is neither an employee, agent nor representative of FXCM and is therefore acting independently. The opinions given are their own, constitute general market commentary, and do not constitute the opinion or advice of FXCM or any form of personal or investment advice. FXCM neither endorses nor guarantees offerings of third party speakers, nor is FXCM responsible for the content, veracity or opinions of third-party speakers, presenters or participants. Any opinions, news, research, analyses, prices, or other information is provided as general market commentary, and does not constitute investment advice. FXCM will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
Views: 1633 Quant News
Python algo Trading: FX Trading with Oanda - How to Extract Market Rates using Oanda V20 REST API
 
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Want to know more on how to create a hedge fund strategy using Python? Join me at my blog at https://algo-hunter.com.
Views: 7607 Anthony Ng
Charting Stocks and Forex in python Part 18 - How to calculate RSI in python
 
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This is the eighteenth video in the series for stock price analysis, teaching you how to calculate a relative strength index in python. The purpose of the videos in this series is to teach you how to program your own charting and technical analysis of stocks or Forex. This is beneficial for you if you plan to do any sort of algorithmic, high-frequency, or any sort of automated trading. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 9691 sentdex
Using a Stock Market API with Python
 
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POSTING: https://medium.com/@Keithweaver_/using-a-stock-market-api-4ce65b7c67ac In PHP: https://youtu.be/hfYfeDvTyVw In this video, I show you how to get basic financial data via code. Equipment: Canon T5i - http://amzn.to/2vOS61Y Headphones - http://amzn.to/2tpRthn Please subscribe! Check me out: Web: http://keithweaver.ca Twitter: https://twitter.com/keithweaver_ Github: https://github.com/keithweaver Instagram #1: https://www.instagram.com/keiththecoder/ Instagram #2: https://www.instagram.com/keithweaver_/
Views: 12492 Keith, the Coder
[NEW!] The Python Forex Robot v. 2.0
 
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Want to purchase the expert advisor? You can purchase here: https://tradernickfx.com/the-python-forex-robot/ In this video we talk about one of my all time FAVORITE robots I've created. It's called the Python Trading Robot, and I think you'll like it. Do you want access to the robot? Send me a message on telegram (@tradernick135) or send me an email at [email protected] Want to trade with me and my team? Send me a message! We'd be happy to have you join us. Trading shouldn't be hard, it shouldn't be complex. By joining us you'll be able to watch my trading and have access to a members chatroom full of experienced and dedicated traders. If you enjoy my content, please show your support by subscribing to the channel and joining my team to learn more on applying my strategy to trading like the banks. Have a great day friends! Connect with me! Telegram Channel: http://bit.ly/TraderNicksAnalysis Instagram: http://bit.ly/TraderNicksIG Email: [email protected]
Views: 1220 TraderNick
How to Interface Python/R Algorithmic Trading Strategies with MetaTrader 4
 
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This webinar follows on from our blog post (http://blog.darwinex.com/zeromq-interface-python-r-metatrader4/). Brought to you by Darwinex: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=how-to-interface-python-r-zeromq-metatrader Risk Disclosure: https://www.darwinex.com/legal/risk-disclaimer Associated GitHub repo: https://github.com/darwinex/dwx-zeromq-connector In this presentation, we demonstrate how to build a communications bridge between trading strategies written in non-MQL programming languages (e.g. Python, R, Java, C++, etc), using ZeroMQ. ZeroMQ is a distributed messaging and concurrency framework, using which traders can create sophisticated distributed trading architecture otherwise difficult to implement in MQL. It also therefore allows traders to send instructions to MetaTrader 4 from outside the platform, and leverage the features of non-MQL environments (e.g. Machine Learning toolkits in Python/R) to create more sophisticated trading strategies for execution via MetaTrader 4. Interested in deepening your algorithmic trading knowlegde? https://blog.darwinex.com/?s=algorithmic+trading If you consider yourself a talented trader, we'd love to have your strategy listed on our Exchange, enabling you to earn performance fees on investor profits. Check it out here: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description&utm_content=how-to-interface-python-r-zeromq-metatrader More than 1MM in performance fees paid to date! https://www.darwinex.com/darwinia/hall-of-fame/users Topics: #algorithmictrading #python #metatrader
Views: 15944 Darwinex
Dukascopy JForex Java with Redis with Python for algo forex trading
 
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A video with details is soon coming for this. It will only be available for my Quant Analytics members http://quantlabs.net/blog/2017/08/finally-a-way-to-integrate-dukacopy-jforex-java-with-redis-nosql-and-python-scripting/
Views: 941 Bryan Downing
Learn to Algo Trade with Python - Part 1 of 3
 
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Learn how to automate your trading strategy using Python, one of the most commonly used coding languages in the quant world. In part 1 of the how-to video series you will learn about: - Python for data analysis - Pandas for time series management - Downloading and using tick data from FXCM - Visualizing tick data from FXCM statically & interactively Ready for your next lesson? View more videos in the playlist https://www.youtube.com/playlist?list=PLHJACfjILJ-8aEK53EXIvYq9KTudBtiGT For additional resources on algorithmic trading, python, machine learning, API, and more please visit https://www.quantnews.com/resources/ Remember that forex and CFD trading can result in losses that could exceed your deposited funds and therefore may not be suitable for everyone, so please ensure that you fully understand the risks involved. The guest speaker(s) is neither an employee, agent nor representative of FXCM and is therefore acting independently. The opinions given are their own, constitute general market commentary, and do not constitute the opinion or advice of FXCM or any form of personal or investment advice. FXCM neither endorses nor guarantees offerings of third party speakers, nor is FXCM responsible for the content, veracity or opinions of third-party speakers, presenters or participants. Any opinions, news, research, analyses, prices, or other information is provided as general market commentary, and does not constitute investment advice. FXCM will not accept liability for any loss or damage, including without limitation to, any loss of profit, which may arise directly or indirectly from use of or reliance on such information.
Views: 2003 Quant News
Tips to get Oanda forex trading working with Python
 
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All inks here http://quantlabs.net/blog/2017/08/tips-to-get-oanda-forex-trading-working-with-python/
Views: 3763 Bryan Downing
Algo Trading Webinar Series - Python and Historical Tick Data
 
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Looking to dive into algorithmic trading? Watch Part 1 of this 3 part series to better understand how you can use Python and historical tick data to maximize your ROI. **Additional Resources** GitHub: Visit the GitHub repository for API documentation and resources for creating and backtesting your algorithmic trading strategy https://github.com/FXCM API Trading: FXCM offers APIs ideal to automate your trading strategy. Learn more about our REST API, FIX, JAVA, and ForexConnect offering https://www.fxcm.com/uk/algorithmic-trading/api-trading/ FXCM Python Wrapper: FXCM.py is a convenient pythonic way to interact and expose all the capabilities of our REST API with different Python classes https://www.fxcm.com/uk/algorithmic-trading/forex-python/ Market Data: Access historical bid/ask prices, volume, trader sentiment, and other ready-to-go trading tools https://www.fxcm.com/uk/algorithmic-trading/market-data/ Trading forex/CFD's on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits.
Views: 30102 FXCM
Tutorial: How to Integrate Python with MetaTrader 4 (with an example) - Part 2
 
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If you would like to use machine learning algorithms for trading and you would like to use a broker which only offers MetaTrader as the platform, this tutorial will enable you to get started. This is a 2 part tutorial. In this part, we'll go through the MQL and Python codes. Telegram Group: https://t.me/joinchat/DmGkrhIE_g6Mk-zJS6sWgA Access to codes used in this tutorial: Edited MQL code: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/MQL4/ZeroMQ_MT4_EA_EDIT.mq4 Python Class: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/Python/pythonicMT4.py Sample Algorithm: https://github.com/arsalanaf/DarwinexLabs/blob/master/tools/Python/test.py Links to the mentioned websites: Anaconda: https://www.anaconda.com/download/ Darwinex blog post: https://blog.darwinex.com/zeromq-interface-python-r-metatrader4/ mql-zmq library: https://github.com/dingmaotu/mql-zmq pyzmq library: https://github.com/zeromq/pyzmq Darwinex Github: https://github.com/darwinex/DarwinexLabs TA-LIB wrappers: https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib
Views: 10664 Python for Trading
Python Algo Trading: FX Trading with Oanda : Anaconda
 
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http://ytwizard.com/r/jfNK1f http://ytwizard.com/r/jfNK1f Python Algo Trading: FX Trading with Oanda Create your own FX algo trading system using the Oanda platform and leverage on the power of Python.
Views: 473 Barbara Parsons
Resources to Start Coding Trading Algorithms
 
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My story about when I used to day and swing trade on the stock market leads to today. Now that I have the coding skills alongside my stock market knowledge, it's time to implement my strategy as an algorithm. These are the resources I plan to use to learn more about quantitative finance and develop my stock trading algorithm. Get Free Stock --- http://share.robinhood.com/forresk7 The Intelligent Investor --- https://amzn.to/2y1QNPx How to Day Trade for a Living --- https://amzn.to/2yhq1Sr More resources coming soon. ---------------------------------------------------------- I share and document my experiences on topics including computer science, software engineering, and iOS development. I'm a full-time Software Engineer and a part-time YouTuber. I have two side projects in the works: a stock trading algorithm & a stock related iOS app. My hobbies outside of what's been mentioned include surfing, snowboarding, hunting, fishing, and playing video games. Subscribe, so you don't miss a thing! ----------------------------- SOCIAL MEDIA ----------------------------- Twitch --- https://www.twitch.tv/forrestknight GitHub --- https://github.com/ForrestKnight Instagram --- https://instagram.com/Forrest.Swift Twitter --- https://twitter.com/ForrestPKnight Discord --- https://discord.gg/tF5p4qb Medium --- https://medium.com/@ForrestKnight ----------------------------- PRODUCTS ----------------------------- Design Store --- https://sellfy.com/forrestknight Recommended - Udemy iOS 11 & Swift 4 Course --- https://tinyurl.com/y8b7nhmn ----------------------------- DESK SETUP & VIDEO GEAR ----------------------------- All Gear --- https://kit.com/ForrestKnight Adobe Creative Cloud --- http://clkuk.tradedoubler.com/click?p=264355&a=3050319&g=22804962 ----------------------------- OUTRO MUSIC ----------------------------- Country Cue 1 by Audionautix is licensed under a Creative Commons Attribution license (https://creativecommons.org/licenses/...) Artist: http://audionautix.com/
Views: 24969 ForrestKnight
Intro and Getting Stock Price Data - Python Programming for Finance p.1
 
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Welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 364098 sentdex
Algorithmic Trading with Python and Quantopian p. 1
 
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In this tutorial, we're going to begin talking about strategy back-testing. The field of back testing, and the requirements to do it right are pretty massive. Basically, what's required for us is to create a system that will take historical pricing data and simulate trading in that environment, and then gives us the results. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 165383 sentdex
Trade via FIX API
 
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UPDATE (April 18, 2019): Please watch the updated webinar replay here: https://youtu.be/r6IrtCMW81I Thank you! -- With our FIX API, you connect to our Liquidity Providers, accessing the full order book. Our FIX offers the option of synchronising your trades with an MT4 coverage account. Darwinex - The Trader Exchange. Visit us at Darwinex https://goo.gl/ncRPEC.
Views: 15385 Darwinex
Oanda Forex API Python workshop Q and A webinar session
 
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Source: https://www.podbean.com/eau/pb-quwi5-b7f886 We are go for the Forex Oanda API workshop on Tues Jul 23 at 12 noon Eastern Daylight time. See the login details below. The topics covered will be: LIVE Forex with Oanda API Python workshop considerations New topics for this custom forex workshop course with Oanda API: 1. Data Wrangle from Oanda API REST to easy Dataframe data structure in Python 2. Interface with technical analysis routines with TA-Lib 3. Manipulate critical long/short position forex outlook (in real time) for market trend direction 4. Demonstrate order execution capabilities Strongly Recommended resources needed for this live workshop: 1. You would need to take this Python Algo Trading Infrasutructure course 2. General Python understand of simpler programming. I will anticipate this workshop will be 3-5 hours depending on the question&answers, and engagement. I am planning to hold this during the day or night depending on the convenience of confirmed attendees. I am also planning to limit the live number of attendees to this workshop. As a result, I am giving priority to those who are currently in my Python course mentioned and ELITE members who. This course will become a new workshop added to be repertoire of ELITE courses already included.   If you are interested in the highly limited ELITE 3 year subscription, sign up here but note there is less than 5 slots left! Info is here I would recommend you should learn the applicable topics from: https://quantlabs.net/academy/python-algo-trading-infrastructure-with-crypto-currency/ If you would like a multi 3 year subscription to everything I do, get this https://quantlabs.net/academy/introduction-quant-elite-membership2/
Views: 19 Bryan Downing
Algorithmic Trading via ZeroMQ: Python to MetaTrader (Trade Execution, Reporting & Management)
 
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This tutorial follows on from our webinar "How to Interface Python Trading Strategies with MetaTrader via ZeroMQ". Brought to you by Darwinex: https://www.darwinex.com/?utm_source=youtube&utm_medium=video-description-above-fold&utm_content=trade-execution-zeromq-python-metatrader Risk Disclosure: https://www.darwinex.com/legal/risk-disclaimer If you haven't watched it yet, here it is again: https://www.youtube.com/watch?v=GGOajzvl860 With this completely revamped implementation, algorithmic traders can: 1) Send OPEN, CLOSE, MODIFY trade instructions to MetaTrader from Python (or any other ZeroMQ compatible programming language) 2) Exchange messages between Python and MetaTrader in JSON format, via ZeroMQ. 3) Get real-time BID / ASK prices from MetaTrader for any symbol available in MetaTrader. 4) Retrieve historical market data from MetaTrader directly into a Python environment, via ZeroMQ. 5) Create a MetaTrader "price server EA" specifically for publishing real-time BID / ASK prices to multiple "subscriber" applications. The accompanying source code can be found here: https://github.com/darwinex/DarwinexLabs/tree/master/tools/dwx_zeromq_connector And here's the continuation of this tutorial: Algorithmic Trading via ZeroMQ: Python to MetaTrader (Subscribing to Market Data) (https://youtu.be/9EaP_7sSzEI) If you consider yourself a talented trader, we'd love to have your strategy listed on our Exchange, enabling you to earn performance fees on investor profits. Check it out here: https://www.darwinex.com?utm_source=youtube&utm_medium=video-description&utm_content=trade-execution-zeromq-python-metatrader 1.9 M in performance fees paid to date! See here: https://www.darwinex.com/darwinia/hall-of-fame/users?utm_source=youtube&utm_medium=video-description&utm_content=trade-execution-zeromq-python-metatrader Topics: #algorithmictrading #python #metatrader
Views: 3773 Darwinex
學習算法交易(使用OANDA API及Python) #1
 
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Use Python to build an algorithmic trading program on Ubuntu from scratch. Please give like and share.
Views: 5021 kanoncloud
What is FIX API?
 
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- What is FIX API? - How do you benefit from FIX API? - What type of clients will benefit from using FIX API? - How does FIX API work? - What type of orders are supported by FIX API? Follow us! Facebook: https://www.facebook.com/Fortex-Technologies-Inc-159205080779208/ Twitter: https://twitter.com/fortexinc LinkedIn: https://www.linkedin.com/company/fortex-inc Instagram: https://www.instagram.com/fortex_inc/
Oanda Forex API Python workshop Q and A webinar session
 
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Playback from today earlier https://quantlabs.net/blog/2019/07/live-forex-with-oanda-api-python-qa-webinar/
Views: 85 Bryan Downing
Building your own cryptocurrency trading bot using Python and the Poloniex API
 
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Brian walks you through a simple cryptocurrency trading bot in Python and using the Poloniex API. The code from this video can be found here: https://github.com/bwentzloff/trading-bot Poloniex API: https://poloniex.com/support/api/ How moving averages work: https://youtu.be/YHSX5_vLR8Q Get some bitcoin ornaments for Christmas: https://cryptogifts.store/product/bitcoin-ornament-bitcoin-rollercoaster-guy-on-a-sleigh/ Contact me directly: https://www.youtube.com/channel/UCme3b9GKKSjZsI8AGth-VlA/about
Views: 212562 Cryptocurrency Trading
Introduction to FOREX Data Mining
 
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In this public webinar you will get an introduction to FOREX Data Mining with WEKA using several algorithms and sample data.
Tutorial: Deep Reinforcement Learning For Algorithmic Trading in Python
 
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In this tutorial, we'll see an example of deep reinforcement learning for algorithmic trading using BTGym (OpenAI Gym environment API for backtrader backtesting library) and a DQN algorithm from a medium post (link below) to interact with the environment and does the trading. Access to the code: https://gist.github.com/arsalanaf/d10e0c9e2422dba94c91e478831acb12 Telegram Group: https://t.me/joinchat/DmGkrhIE_g6Mk-zJS6sWgA Links: OpenAI Gym: https://gym.openai.com/ BTGym: https://github.com/Kismuz/btgym backtrader: https://www.backtrader.com/ TensorForce: https://github.com/reinforceio/tensorforce Bitcoin TensorForce Trading Bot: https://github.com/lefnire/tforce_btc_trader Self Learning Quant: https://hackernoon.com/the-self-learning-quant-d3329fcc9915 DQN: https://towardsdatascience.com/reinforcement-learning-w-keras-openai-dqns-1eed3a5338c
Views: 21379 Python for Trading
Programming an RSI Trading Bot with Bitmex API
 
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In this video I demonstrate how one could set up an automated trading bot on their own Windows PC using the bitmex API. Xampp: https://www.apachefriends.org/download.html Bitmex: https://www.bitmex.com/register/na9zMz GitHub: https://github.com/coinables/bitmex-api-php
Views: 22247 m1xolyd1an
Installation - Zipline Tutorial local backtesting and finance with Python p.1
 
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Hello and welcome to a tutorial covering how to use Zipline locally. Zipline is easily and by far the best finance back-testing and analysis package for Python. Text tutorials and sample code: https://pythonprogramming.net/zipline-local-install-python-programming-for-finance/ Chat with us on Discord: https://goo.gl/Q9euv3 Support the content: https://pythonprogramming.net/support-donate/ Twitter: https://twitter.com/sentdex Facebook: https://www.facebook.com/pythonprogramming.net/ Twitch: https://www.twitch.tv/sentdex G+: https://plus.google.com/+sentdex
Views: 27521 sentdex
Python for Algorithmic Trading | The AI Machine
 
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This is the recording of the QUANTACT Webinar by Dr Yves Hilpisch (The Python Quants | The AI Machine) from 07 Feb 2019. Link to the slides: https://certificate.tpq.io/qaweb.pdf Link to the notebook: https://certificate.tpq.io/qaweb.html
Views: 3756 Yves Hilpisch
Showing off my First Algorithmic Trading Bot
 
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Pleased with the results of my trading strategy, backtested from Jan 2016, executed by an automated trading bot I coded in Python. Backtesting using Quantconnect. Some more info on my post. www.the-lighthouse.net/backtesting-successful-trading-algorithm/
Views: 2281 Erik Zimerman
Algo Trading Webinar Series - FXCM Rest API and Python Wrapper
 
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Looking to dive into algorithmic trading? Watch Part 2 of this 3 part series to better understand how you can use FXCM's Rest API and Python Wrapper to maximize your ROI. **Additional Resources** GitHub: Visit the GitHub repository for API documentation and resources for creating and backtesting your algorithmic trading strategy https://github.com/FXCM API Trading: FXCM offers APIs ideal to automate your trading strategy. Learn more about our REST API, FIX, JAVA, and ForexConnect offering https://www.fxcm.com/uk/algorithmic-trading/api-trading/ FXCM Python Wrapper: FXCM.py is a convenient pythonic way to interact and expose all the capabilities of our REST API with different Python classes https://www.fxcm.com/uk/algorithmic-trading/forex-python/ Market Data: Access historical bid/ask prices, volume, trader sentiment, and other ready-to-go trading tools https://www.fxcm.com/uk/algorithmic-trading/market-data/ Trading forex/CFD's on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits.
Views: 128010 FXCM
Dukascopy vs Oanda vs FXPro forex API trading
 
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More link reviews at http://quantlabs.net/blog/2017/08/dukascopy-vs-oanda-vs-fxpro-forex-api-trading/
Views: 4945 Bryan Downing
Python algo Trading: FX Trading with Oanda - How to Extract Market Rates
 
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Want to know more on how to create a hedge fund strategy using Python? Join me at my blog at https://algo-hunter.com.
Views: 2751 Anthony Ng
QuantConnect - Pairs Trading with Python
 
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Learn how to select correlated pairs to build a long-short hedged pairs trading position with Python in QuantConnect. Sponsored by QuantConnect
Views: 4369 Interactive Brokers
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/ Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 620868 Siraj Raval
Interactive Brokers API Workshop Bootcamp with Dukascopy for automated forex trading
 
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Interactive Brokers API Workshop Bootcamp which includes demos with Redis NOSQL database in Python, Java, and C++. This includes all operating systems including Windows, Mac, and Linux https://quantlabs.net/analytics/overview-ib-api-dukascopy/
Views: 391 Bryan Downing
IB interactive brokers python API, historical data downloader, Part-1
 
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When I started, I couldnt find any detailed example on how to use the native IB python API. So here it goes, and hopefully it can help some. there are 5 videos for this historical data downloader. This is 1st of 5. IB python API version 9.73.2. For link to my code, it's in the comment of part-5
Views: 8564 ZenLord XxX
Big Data & Bloomberg News - Using Python in Financial Markets by Saeed Amen from QuantCon 2018
 
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This talk, titled, "Big Data & Bloomberg News - Using Python in Financial Markets" gives some use cases for machine learning as well as a brief overview of ways big data and alternative data in financial markets can be used. Saeed Amen presents a case study examining how machine-readable Bloomberg news can be used to trade FX (Forex) systematically. He also shows how news can help understand the market volatility around FOMC (Federal Open Market Committee) and ECB (European Central Bank) meetings. Lastly, he looks at Python tools, which can be used to analyze financial markets, some demos, and a basic trend trading strategy for bitcoins. To learn more about Quantopian, visit http://bit.ly/bigdataqc18. The slides for this presentation can be found at http://bit.ly/2YMQ5kd. Disclaimer 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: 2768 Quantopian
Python Programming Tutorial - How to Make a Stock Screener
 
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This video teaches you how to create a stock screener based on any indicator you have built in Python. Don't know how to build indicators in Python? No problem! I have tons of videos just for you: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/python-finance-indicators-stocks-forex-futures-options-indicators-built-python/ S&P 500 company list: http://sentdex.com/sentiment-analysisbig-data-and-python-tutorials-algorithmic-trading/how-to-chart-stocks-and-forex-doing-your-own-financial-charting/sp-500-company-list-array-list-programming-ease/
Views: 109234 sentdex
FOREX Harmonic Pattern Scanning Algorithm in Python pt. 5: Trade Exit Timing
 
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A huge question in trading in general: when is the best time to exit the trade after entering it? While this question has many different answers with many different trading strategies, in this video we will quantitatively investigate the merits of exiting the trade at different points in time. The most important part of any trading strategy is risk management. Starting with this video, we will transition our focus of the algorithm into developing a solid risk management scheme that allows us to capitalize on our victories while minimizing our losses. Thanks so much for subscribing, liking, and watching! I apologize for not posting a video in some time! Life just jumped out in front of me and slapped me in the face recently, but I'm getting back on track with making videos so look out here for more! Thanks, Brandon
Views: 3019 PythonParseltongue
Algo Trading with REST API and Python | The Basics - Preparing Your Computer
 
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Learn how to automate your trading strategy using FXCM's REST API and Python programming language. This video is a primer for our tutorial series to help you prepare your computer so you can follow along. If you are an experienced programmer or have already prepped your computer, feel free to jump ahead to Part 1: Connecting to the REST API https://youtu.be/LJcrTscz0IA **Additional Resources** GitHub: Visit the GitHub repository for API documentation and resources for creating and backtesting your algorithmic trading strategy https://github.com/FXCM API Trading: FXCM offers APIs ideal to automate your trading strategy. Learn more about our REST API, FIX, JAVA, and ForexConnect offering https://www.fxcm.com/uk/algorithmic-trading/api-trading/ FXCM Python Wrapper: FXCM.py is a convenient pythonic way to interact and expose all the capabilities of our REST API with different Python classes https://www.fxcm.com/uk/algorithmic-trading/forex-python/ Market Data: Access historical bid/ask prices, volume, trader sentiment, and other ready-to-go trading tools https://www.fxcm.com/uk/algorithmic-trading/market-data/ Trading forex/CFD's on margin carries a high level of risk and may not be suitable for all investors as you could sustain losses in excess of deposits.
Views: 187230 FXCM
Automated Trading Using Lua | Lesson 2.1 - Coding a Basic Strategy
 
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Learn how to automate your trading strategy on FXCM's Trading Station desktop platform using Lua coding language. In this video you will learn how to... ◾ Translate strategy logic from English to Lua ◾ Use Simulation Mode to test strategy code ◾ Add custom functions to open, close, and manage trades *️⃣ Source code for the strategy example coded in the video can be found at https://github.com/FXCMAPI/fxcmapi.github.io/blob/master/lua/Pip%20Sniper%20Deluxe%20PLUS.lua **Additional Resources** GitHub: Visit the GitHub repository for API documentation and resources for creating and backtesting your algorithmic trading strategy https://github.com/FXCM API Trading: FXCM offers APIs ideal to automate your trading strategy. Learn more about our REST API, FIX, JAVA, and ForexConnect offering https://www.fxcm.com/uk/algorithmic-trading/api-trading/ FXCM Python Wrapper: FXCM.py is a convenient pythonic way to interact and expose all the capabilities of our REST API with different Python classes https://www.fxcm.com/uk/algorithmic-trading/forex-python/ Market Data: Access historical bid/ask prices, volume, trader sentiment, and other ready-to-go trading tools https://www.fxcm.com/uk/algorithmic-trading/market-data/ Disclaimer: 76.88% of retail client accounts lose money when trading FX/CFDs with FXCM LTD. Consider if you can afford the high risk of losing money.
Views: 2497 FXCM
Python Charting Stocks part 31 - Graphing live intra-day stock prices
 
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This video teaches you how to take the live graphing tutorials and apply them to our charting tutorial here. The purpose of the videos in this series is to teach you how to program your own charting and analysis of stocks or Forex. Looking for part 28 and 29? These are the intros to live charting, and here are the links: #28: Live matplotlib graphs: https://www.youtube.com/watch?v=ge6DAaJ-leM #29: Live matplotlib graphs 2: https://www.youtube.com/watch?v=7w8jk0r4lxA This is beneficial for you if you plan to do any sort of algorithmic, high-frequency, or any sort of automated trading. Sentdex.com Facebook.com/sentdex Twitter.com/sentdex
Views: 35768 sentdex