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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: 556627 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: 16776 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: 663 Quant News
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: 2112 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: 1137 TraderNick
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: 91617 sentdex
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: 30798 PythonParseltongue
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 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: 13533 Darwinex
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: 7203 Anthony Ng
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: 3414 Bryan Downing
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: 10776 Keith, the Coder
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: 16205 ForrestKnight
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/Darwinex... Python Class: https://github.com/arsalanaf/Darwinex... Sample Algorithm: https://github.com/arsalanaf/Darwinex... 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: 7623 Python for Trading
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: 18502 Python for Trading
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: 185952 FXCM
[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: 769 TraderNick
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: 17721 m1xolyd1an
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: 28165 FXCM
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/
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: 153036 sentdex
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: 328 Barbara Parsons
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: 1498 Quant News
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: 33987 sentdex
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.
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: 1428 Quant News
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: 4635 Bryan Downing
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: 14784 Darwinex
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: 8758 Python for Trading
Complete Redis NOSQL submitting order to Dukascopy JForex for automated Python algo forex trading
 
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I show how you can interface a language like to Python with Redis NOSQL to drive your orders into Dukascopy Jforex with their API http://quantlabs.net/blog/2017/09/redis-nosql-command-driven-submit-order-to-dukascopy-jforex-for-python-algo-forex-trading/
Views: 213 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: 2608 Anthony Ng
Machine Learning for Algorithmic Trading | Part 1: Machine Learning & First Steps
 
01:08:03
Discover how to prepare your computer to learn and build a strong foundation for machine learning In this series, quantitative trader Trevor Trinkino will walk you through a step-by-step introductory process for implementing machine learning and how you can turn this into a trading algorithm using Python. Plus he will show you the process of tuning your parameters for better performance of your trading system. 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: 15524 Quant News
Algo Trading Webinar Series - FXCM Rest API and Python Wrapper
 
01:20:38
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: 127472 FXCM
How to convert forex mt4 to python programming
 
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New event this Monday aug 27 at 7 pm edt https://quantlabs.net/blog/2018/08/how-to-convert-forex-mt4-to-python-programming-webinar/
Views: 776 Bryan Downing
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: 333654 sentdex
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: 24849 sentdex
ARBITRAGE THIEF INDEX MT4 INDICATOR -  PYTHON DATA ANALYSIS   FOREX
 
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In order to identify the perfect default entry levels,we made a series of simulation in python with help of matplotlib. And then made a statistical determination of levels 65% and 35% on which key reversal or trend continuation impulse acts.We made a basket of currency pairs to form an index with EUR,GBP,AUD,JPY,CHF,NZD.
Views: 269 XBTS Trader
Algo trading with forex and crypto currency using Python
 
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Algo trading with forex and crypto currency using Python This includes crypto including big daddy Bitcoin I hope you will enjoy my Python 3 course http://quantlabs.net/academy/shopping-cart/ http://quantlabs.net/blog/2018/05/algo-trading-forex-crypto-currency-using-python/
Views: 2631 Bryan Downing
Demo report of my ATR forex Python script for algo trading analysis
 
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This is the first cut of this script to measure volatility potential with various steps Links here http://quantlabs.net/blog/2016/08/demo-report-of-my-atr-forex-python-script-for-analysis/
Views: 538 Bryan Downing
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: 896 Bryan Downing
Developing a real time automated trading platform with Python
 
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OpenSistemas: A real time automated trading platform with Python Miguel Sánchez de León Peque source: EuroPython 2016 - https://ep2016.europython.eu/en/
Views: 3509 OpenSistemas
Building your own cryptocurrency trading bot using Python and the Poloniex API
 
14:06
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: 204063 Cryptocurrency Trading
Why I now focus on Oanda forex trading API
 
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My video explains this smarter logic as opposed what I originally wanted to do. It just basically removes an extra series of steps of BS quantlabs.net/blog/2017/01/why-i-now-focus-on-oanda-forex-trading-api/
Views: 3945 Bryan Downing
OANDA | How to Configure Curl Examples - The OANDA trade API
 
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Learn how to configure CURL examples with your personal API access token. For more information please visit: https://developer.oanda.com/rest-live/sample-code/
Views: 534 OANDA
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: 3822 Interactive Brokers
Short Video - TWS Python API - Receiving Market Data and Historical Candlesticks
 
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This video will explore receiving market data and historical candlestick data from TWS using the Python API. We will discuss the different functions available for receiving streaming updates, real time bars, tick-by-tick data, and candlesticks, and discuss additional data modes available for receiving frozen and delayed data. In this context we will again consider the API Contract class, introduced in the previous lesson, and discuss how a Contract object is used in each real time and historical data request. Code examples will be presented which show the minimum Python code necessary to request streaming and historical data and display market data in the console. Finally, we will discuss limitations on requesting data, and the types of data which are included in IBKR's real time feed as compared to the historical database. For entire course: ibkr.com/ibta
Views: 673 Interactive Brokers
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: 384 Bryan Downing
Review of back tester trading engine with open source Python
 
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See all the Reddit links at http://quantlabs.net/blog/2017/08/review-of-back-trader-engine-with-open-source-python/ Are you interested in: There are 11 tips you need to know how your broker is screwing you to lose. Open source automation and Excel add in with 300+ technical analysis indicators http://quantlabs.net/mkt/trade-like-a-boss-download-report/
Views: 5058 Bryan Downing
Python Charting Stocks/Forex for Technical Analysis Part 1 - Intro and stock price source
 
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Charting Stocks in Python playlist: http://www.youtube.com/watch?v=u6Xd3kRHhJI&feature=share&list=PLQVvvaa0QuDcR-u9O8LyLR7URiKuW-XZq Sample code: http://pythonprogramming.net/advanced-matplotlib-graphing-charting-tutorial/ This is the first video in the series for stock price analysis. The purpose of the videos in this series is to teach you how to program your own charting and 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: 100288 sentdex
Algo Trading Summit 2018 | Live Broadcast
 
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Watch the FXCM Algo Trading Summit live as algorithmic trading experts share their knowledge on API's and utilizing Python to automate trading strategies. **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. 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.
Views: 3071 FXCM
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: 104860 sentdex