aat
Trading framework
An asynchronous framework for writing algorithmic trading strategies with support for multiple exchanges and backtesting.
Asynchronous, event-driven algorithmic trading in Python and C++
684 stars
30 watching
135 forks
Language: C++
last commit: almost 2 years agoLinked from 1 awesome list
algo-tradingalgorithmic-tradingautomated-tradingbacktest-enginecryptocurrenciescryptocurrencyexecution-enginepythonpython3risk-management-enginestock-markettradingtrading-bottrading-enginetrading-strategies
wilsonfreitas/awesome-quantRelated projects:
| Repository | Description | Stars |
|---|---|---|
 amor71/liualgotrader | A framework for developing and deploying algorithmic trading strategies using machine learning and multiple data feeds. | 795 |
 tradingstrategy-ai/trading-strategy | A Python framework for developing algorithmic trading strategies on decentralized exchanges. | 238 |
 gbeced/basana | A Python framework for algorithmic trading with a focus on cryptocurrency exchanges | 604 |
 blankly-finance/blankly | An ecosystem for building, testing, and deploying algorithmic trading strategies across multiple asset classes. | 2,172 |
 sreenivasdoosa/sdoosa-algo-trade-python | A Python-based framework for building algorithmic trading strategies on the Indian stock market | 536 |
 coding-kitties/investing-algorithm-framework | A comprehensive framework for building automated trading bots and backtesting strategies in Python. | 196 |
 edtechre/pybroker | A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,113 |
 kieran-mackle/autotrader | A platform for developing and deploying automated trading systems using Python | 1,013 |
 kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
 barter-rs/barter-rs | An event-driven trading framework with tools for live-trading and back-testing systems | 1,041 |
 ceruleanacg/quantitative-trading | Provides implementations and references for applying quantitative methods to trading strategies using reinforcement learning. | 35 |
| tradingstrategy-ai/getting-started | A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. | 76 |
 unageanu/jiji2 | A framework for creating automated trading strategies using the OANDA REST API. | 241 |
 alpacahq/pylivetrader | A Python framework for live trading with broker API interface | 665 |
 51bitquant/51bitquant | Develops and shares tools for automated cryptocurrency trading using Python and CCXT framework | 871 |