moonshot
Trading simulator
A backtesting and trading engine for algorithmic traders, designed to facilitate rapid experimentation and research iteration.
Vectorized backtester and trading engine for QuantRocket
206 stars
8 watching
47 forks
Language: Python
last commit: about 2 years agoLinked from 1 awesome list
algorithmic-tradinginteractive-brokerspandaspythonquantitative-financetrading-platform
wilsonfreitas/awesome-quantRelated projects:
| Repository | Description | Stars |
|---|---|---|
 constverum/quantdom | Framework for testing and evaluating trading strategies using Python | 718 |
 snjyor/quant_backtest | Backtesting platform for cryptocurrency trading strategies on Binance and Bitfinex data | 6 |
| quantrocket-llc/zipline-extensions | An adapter layer between Zipline and QuantRocket for algorithmic backtesting | 18 |
 letianzj/quanttrader | A Python-based backtesting and live trading package for quantitative traders. | 541 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,610 |
 drakkar-software/octobot-script | An open-source Python framework for backtesting trading strategies in cryptocurrencies using machine learning and technical analysis techniques. | 20 |
 nkaz001/hftbacktest | A framework for simulating high-frequency trading and market-making strategies with realistic latency and order book simulations. | 2,066 |
 tradingstrategy-ai/getting-started | A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. | 76 |
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 lsgro/quantcomponents | A collection of reusable Java components for building quantitative finance and algorithmic trading applications | 163 |
 paulperry/quant | A repository of quantitative finance and algorithmic trading strategies and analyses. | 326 |
 edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 edtechre/pybroker | A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,113 |
 sequencing-dev/sequencing | A Python package for simulating realistic quantum control sequences using QuTiP. | 13 |