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

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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.

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StockSharp

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????????? ??? ???????? ??????? - http://stocksharp.com/

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

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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.

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gekko - A bitcoin trading bot written in node - https://gekko.wizb.it/

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The most valuable commodity I know of is information.Gekko is a Bitcoin TA trading and backtesting platform that connects to popular Bitcoin exchanges. It is written in javascript and runs on nodejs.

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

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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.

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qsforex - QuantStart Forex Backtesting and Live Trading

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QSForex is an open-source event-driven backtesting and live trading platform for use in the foreign exchange ("forex") markets, currently in an "alpha" state. It has been created as part of the Forex Trading Diary series on QuantStart.com to provide the systematic trading community with a robust trading engine that allows straightforward forex strategy implementation and testing.

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

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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.

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Trading Terminal Suite

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The Main purpose of project is to make programmatical interfaces for trading. The project uses Stock# framework and extends it in different ways.

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Krypto-trading-bot - Self-hosted crypto trading bot (automated high frequency market making) in node

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K.sh is a very low latency market making trading bot with a full featured web interface, it directly connects to several cryptocoin exchanges. On a decent machine reacts to market data by placing and canceling orders in under milliseconds.

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Zipline - A Pythonic Algorithmic Trading Library

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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.

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IBCSharp

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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.

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

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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.

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quantmod - Quantitative Financial Modelling Framework

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quantmod is an R package that provides a framework for quantitative financial modeling and trading. It provides a rapid prototyping environment that makes modeling easier by removing the repetitive workflow issues surrounding data management and visualization. Ask your question on Stack Overflow or the R-SIG-Finance mailing list (you must subscribe to post).

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algo-coin - Algorithmic trading cryptocurrencies across multiple exchanges

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Algorithmic Trading Bitcoin. Lightweight, extensible program for algorithmically trading cryptocurrencies and derivatives across multiple exchanges.

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BitBot - BitBot is a Crypto-Currency trading bot and backtesting platform written in Node.JS

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BitBot is a Crypto-Currency trading bot and backtesting platform that connects to popular Bitcoin exchanges (Bitstamp, Kraken). It is written in javascript and runs on Node.JS. BitBot is modular and supports multiple trading strategies / exchanges.

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node-ib - Interactive Brokers TWS API client library for Node.js

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ib is Interactive Brokers TWS (or IB Gateway) API client library for Node.js. This is a direct port of Interactive Brokers' official Java client. There is no C++/Java library dependency. It makes a socket connection to TWS (or IB Gateway) using the net module, and all messages are entirely processed in JavaScript. It uses EventEmitter to pass the result back to user.

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cointrol - ฿ Bitcoin trading bot with a real-time dashboard for Bitstamp.

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Cointrol is a Bitcoin trading bot and real-time dashboard for Bitstamp created by @jakubroztocil.Cointrol was created to automate Bitcoin speculation. Besides automated trading based on price change triggers and various trading strategies, it also provides a real-time updated dashboard for your Bitstamp account where you can see all your orders and transactions real-time updated (something Bitstamp lacks). The dashboard for a real-time updated overview can also be used standalone without letting Cointrol make any transactions.

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ta4j-origins - A Java library for technical analysis ***Not maintained anymore, kept for archival purposes, see #192***

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ta4j is a Java library providing a simple API for technical analysis.

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bitcoin-trader - :moneybag: Bitcoin trading bot based on a simple exponential moving average (trading via Coinbase)

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💰 Bitcoin trading bot based on a simple exponential moving average (trading via Coinbase).I'm trying to write a simple bot that sells bitcoin the moment it makes enough profit to pay for transaction fees, plus a small margin. It will do this thousands of times per day, and hopefully profit in the long run as long as the market is volatile and trending upwards (i.e. as long as not too many people are running bots exactly like this one).

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Deep-Trading - Algorithmic trading with deep learning experiments

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Algorithmic trading with deep learning experiments. Now released part one - simple time series forecasting. I plan to implement more sophisticated algorithms and their ensembles with different features, check their performance, train a trading strategy and go live.