OctoBot-Script
Quant backtesting framework
An open-source Python framework for backtesting trading strategies in cryptocurrencies using machine learning and technical analysis techniques.
Quant framework by OctoBot
20 stars
4 watching
15 forks
Language: Python
last commit: 24 days ago
Linked from 1 awesome list
aibacktestingcryptocurrencydeep-learningexchangemachine-learningmloctobotpythonquantreinforcement-learningtechnical-analysis
Related projects:
Repository | Description | Stars |
---|---|---|
quarkfin/qf-lib | A Python library that provides tools and frameworks for testing investment strategies in financial markets. | 560 |
snjyor/quant_backtest | Backtesting platform for cryptocurrency trading strategies on Binance and Bitfinex data | 6 |
quantrocket-llc/moonshot | A backtesting and trading engine for algorithmic traders, designed to facilitate rapid experimentation and research iteration. | 204 |
constverum/quantdom | Framework for testing and evaluating trading strategies using Python | 717 |
jeffrey-liang/quantitative | A Python library for backtesting investment strategies and models using event-driven simulations. | 63 |
xfffff/gekko-backtesttool | Automated backtesting and analysis tool for cryptocurrency trading strategies | 229 |
letianzj/quanttrader | A Python-based backtesting and live trading package for quantitative traders. | 531 |
kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
51bitquant/51bitquant | A full-stack project for building cryptocurrency trading bots using Python and CCXT framework | 848 |
lsgro/quantcomponents | A collection of reusable Java components for building quantitative finance and algorithmic trading applications | 163 |
jsmidt/quantpy | A framework for building quantitative finance applications in Python. | 685 |
quantrocket-llc/zipline-extensions | An adapter layer between Zipline and QuantRocket for algorithmic backtesting | 18 |
letianzj/quantresearch | A collection of notebooks and blogs on quantitative finance and trading strategies, including machine learning, deep reinforcement learning, and backtesting. | 2,113 |
edtechre/pybroker | A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,062 |
snjyor/binance-quant | Automated trading system for executing quantified trades on the Binance exchange | 13 |