backtrader-oandav20 - Support for Oanda-V20 API in backtrader

  •        101

Python 3.6 is used.

https://github.com/ftomassetti/backtrader-oandav20

Tags
Implementation
License
Platform

   




Related Projects

PalmOS Currency Converter

  •    C

Adaptation of Henrique Martins Currency converter to PalmOS 5.4.x using exchange rate information from the European Central Bank, OANDA (http://www.oanda.com/currency/table) and PACIFIC (Univ. of British Columbia, Vancouver, Canada).

forex_algotrading - My Forex algotrading platform in Python - based on my posts at http://jon.io

  •    Python

Open runner.py and put your own OANDA_ACCESS_TOKEN and OANDA_ACCOUNT_ID. Read http://jon.io/forex-brokers.html on how to get those or the documentation in Oanda.

Lean - Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

  •    CSharp

Lean Engine is an open-source fully managed C# algorithmic trading engine built for desktop and cloud usage. It was designed in Mono and operates in Windows, Linux and Mac platforms. Lean drives the web based algorithmic trading platform QuantConnect.Handle all messages from the algorithmic trading engine. Decide what should be sent, and where the messages should go. The result processing system can send messages to a local GUI, or the web interface.

catalyst - An Algorithmic Trading Library for Crypto-Assets in Python

  •    Python

Catalyst is an algorithmic trading library for crypto-assets written in Python. It allows trading strategies to be easily expressed and backtested against historical data (with daily and minute resolution), providing analytics and insights regarding a particular strategy's performance. Catalyst also supports live-trading of crypto-assets starting with four exchanges (Binance, Bitfinex, Bittrex, and Poloniex) with more being added over time. Catalyst empowers users to share and curate data and build profitable, data-driven investment strategies. Please visit catalystcrypto.io to learn more about Catalyst. Catalyst builds on top of the well-established Zipline project. We did our best to minimize structural changes to the general API to maximize compatibility with existing trading algorithms, developer knowledge, and tutorials. Join us on the Catalyst Forum for questions around Catalyst, algorithmic trading and technical support. We also have a Discord group with the #catalyst_dev and #catalyst_setup dedicated channels.


crypto-trader - :moneybag: Cryptocurrency trading bot library with a simple example strategy (trading via Gemini)

  •    Python

💰 Python bindings for trading Bitcoin, Ethereum, & USD on the Gemini.com Exchange API. All currency symbols are based on the base type symbols.Currency.

TradeHill Trading API Wrapper

  •    

This project is a very simple .NET wrapper around the TradeHill Trading API to allow for easy integration of automated TradeHill functionality into .NET software projects geared towards trading of Bitcoins for fiat currencies.

gdax-tt - The GDAX trading toolkit

  •    TypeScript

Provide all the tools traders need, both professional and hobbyist alike, to create automated trading bots on the GDAX and supported digital asset exchanges. Note: Node 7.6 or above is required.The src/samples folder contains many working demo scripts showcasing different aspects of the toolkit, while the tutorials folder contains running demo programs to accompany the GTT documentation.

CCXT - A JavaScript / Python / PHP cryptocurrency trading library with support for more than 100 bitcoin/altcoin exchanges

  •    Javascript

CCXT – CryptoCurrency eXchange Trading Library. A JavaScript / Python / PHP library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs. The CCXT library is used to connect and trade with cryptocurrency / altcoin exchanges and payment processing services worldwide. It provides quick access to market data for storage, analysis, visualization, indicator development, algorithmic trading, strategy backtesting, bot programming, webshop integration and related software engineering.

tribeca - A high frequency, market making cryptocurrency trading platform in node.js

  •    TypeScript

tribeca is a very low latency cryptocurrency market making trading bot with a full featured web client, backtester, and supports direct connectivity to several cryptocoin exchanges. On modern hardware, it can react to market data by placing and canceling orders in under a millisecond. Runs on the latest node.js (v7.8 or greater). Persistence is acheived using mongodb. Installation is recommended via Docker, but manual installation is also supported.

IBCSharp

  •    DotNet

IBCSharp consists of an improved version of Karl Schulze's Interactive Brokers C# API, a WinForms C# algorithmic daytrading program, and a WinForms C# long term trading program.

gdax-node - The official Node.js library for the GDAX API

  •    Javascript

The official Node.js library for Coinbase's GDAX API.THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

robinhood-node - :chart_with_upwards_trend: NodeJS client for Robinhood Trading

  •    Javascript

NodeJS Framework to make trades with the private Robinhood API. Using this API is not encouraged, since it's not officially available and it has been reverse engineered. See @Sanko's Unofficial Documentation for more information. Tested on the latest versions of Node 6, 7 & 8.

trading-bot - Code seen in Cryptocurrency Trading YouTube video here: https://youtu.be/fpqzXgZjSqM

  •    Python

Part 1 and Part 2 are included in this project for future viewers of those videos, but Part 3 is where active development is happening. Currently, only backtesting using the Poloniex API is supported, but plans for other exchanges and live trading are planned.

StockSharp - Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, bitcoins and options)

  •    CSharp

StockSharp (shortly S#) – are free set of programs for trading at any markets of the world (American, European, Asian, Russian, stocks, futures, options, Bitcoins, forex, etc.). You will be able to trade manually or automated trading (algorithmic trading robots, conventional or HFT).Available connections: FIX/FAST, LMAX, Rithmic, Fusion/Blackwood, Interactive Brokers, OpenECry, Sterling, IQFeed, ITCH, FXCM, QuantHouse, E*Trade, BTCE, BitStamp and many other. Any broker or partner broker (benefits).

pykiteconnect - The official Python client library for the Kite Connect trading APIs

  •    Python

The official Python client for communicating with the Kite Connect API. Kite Connect is a set of REST-like APIs that expose many capabilities required to build a complete investment and trading platform. Execute orders in real time, manage user portfolio, stream live market data (WebSockets), and more, with the simple HTTP API collection.

PyAlgoTrade - Python Algorithmic Trading Library

  •    Python

PyAlgoTrade is a Python Algorithmic Trading Library with focus on backtesting and support for paper-trading and live-trading. Let’s say you have an idea for a trading strategy and you’d like to evaluate it with historical data and see how it behaves. PyAlgoTrade allows you to do so with minimal effort.

Zipline - A Pythonic Algorithmic Trading Library

  •    Python

Zipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live-trading. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies.Note: Installing Zipline via pip is slightly more involved than the average Python package. Simply running pip install zipline will likely fail if you've never installed any scientific Python packages before.

Gekko-Strategies - Strategies to Gekko trading bot with backtests results and some useful tools.

  •    Javascript

Gekko Trading Bot. Repository of strategies which I found at Git and Google, orginal source is in README or .js file. Strategies was backtested, results are in backtest_database.csv file. I used ForksScraper and Gekko BacktestTool to create content of this repository.

NowTrade - Algorithmic trading library with a focus on creating powerful strategies

  •    Python

NowTrade is an algorithmic trading library with a focus on creating powerful strategies using easily-readable and simple Python code. With the help of NowTrade, full blown stock/currency trading strategies, harnessing the power of machine learning, can be implemented with few lines of code. NowTrade strategies are not event driven like most other algorithmic trading libraries available. The strategies are implemented in a sequential manner (one line at a time) without worrying about events, callbacks, or object overloading.