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algo-trading-strategies

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

Jupyter Notebook
295
1 年前

Algorithmic Trading Weighted Strategy developed in Pine Script for TradingView

243
2 年前

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.

Python
189
7 个月前

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

Python
80
2 年前

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.

Python
60
1 年前

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.

Python
48
1 年前

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

Jupyter Notebook
35
1 年前

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. Developers blog (ru):

Python
28
1 个月前

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

Java
19
3 年前

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

Jupyter Notebook
14
2 年前

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.

Jupyter Notebook
11
3 年前

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

Jupyter Notebook
5
2 年前

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

Jupyter Notebook
1
2 年前

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

Python
1
5 年前