Open Source algo trading platform

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

Algorithmic Trading Weighted Strategy developed in Pine Script for TradingView

Binance API integration with Backtrader. Run strategies for Backtest and Live Trading. Get historical price data for Bitcoin, Ethereum and all coins from Binance. EASY create your strategies.

Some examples for Backtrader. Showcases for indicators, run backtests, get historical data for shares, live trading and more...

Торговый робот с использованием нейросетей на основе компьютерного зрения для поиска определенных формаций на торговом графике акций, который используя лучшую обученную модель осуществляет торговые операции. ## A trading robot using neural networks based on computer vision to search for certain formations on a stock trading chart with live trading.

crypto-trading-bot

Python Backtesting library for trading strategies

Bybit API integration with Backtrader. Run strategies for Backtest and Live Trading. Get historical price data for Bitcoin, Ethereum and all coins from Bybit. EASY create your strategies.

Торговый советник с использованием нейросетей | A trading advisor using neural networks

TKSBrokerAPI is the trading platform for automation and simplifying the implementation of trading scenarios, as well as working with Tinkoff Invest API server via the REST protocol. The TKSBrokerAPI platform may be used in two ways: from the console, it has a rich keys and commands, or you can use it as Python module.

Monorepo for trading algorithms

Spring Boot Dukascopy API (Rest API and Websockets) for Market Data feed, Historical Data, Account Data feed and Instruments, and can place orders

Algorithmic implementation of automated adjustment of delta hedged initialized short straddle deployed over Derivatives (Options) market

NodeJS Notebook for building algo trading strategies 💦

Algo trading strategies implemented in python. In future along with rule based approaches, machine learning stragies are going to be incorporated to generate buy sell and hold signals in live market.

My collections of several trading strategies i made for anyone to use

University project provided by Euklid, a company active in the data driven investment field that aim to manage savings and investments through thousands of different algorithms. The commodities analyzed are Gold, Oil, IBM, and NASDAQ

A cryptocurrency algorithmic-trading based simulation boiler-plate project code to test, experiment and identify the best possible combination of indicator(s) for max. profitability

This repository includes a study that aims to develop an efficient cryptocurrency trading bot. Detailed info in ReadMe