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Tory Farrell's Projects

a-spde-model-for-lob-dynamics icon a-spde-model-for-lob-dynamics

Implementation of "A stochastic partial differential equation model for limit order book dynamics" by Rama Cont, Marvin S. Mueller

abides icon abides

ABIDES: Agent-Based Interactive Discrete Event Simulation

abu icon abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

ai_quant_trade icon ai_quant_trade

股票AI操盘手:从学习、模拟到实盘,一站式平台。包含股票知识、策略实例、因子挖掘、传统策略、机器学习、深度学习、强化学习、图网络、高频交易、C++部署和聚宽实例代码等,可以方便学习、模拟及实盘交易

algotrading icon algotrading

Algorithmic trading framework for cryptocurrencies.

algotrading-example icon algotrading-example

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

alpha-evm-dex-bot icon alpha-evm-dex-bot

🤖 Automated multifunctional DeFi trading bot for the KCC ecosystem. Sniping, Front run, Limit orders, Stop Loss, and more...

alpha-rptr icon alpha-rptr

A lightweight trading bot for automated algorithmic trading on Binance Futures, FTX and BitMEX written in python.

automatedstocktrading-deepq-learning icon automatedstocktrading-deepq-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

axorderbook icon axorderbook

A股订单簿工具,使用逐笔行情进行订单簿重建、千档快照发布、各档委托队列展示等,包括python模型和FPGA HLS实现。

backtesting-lowlaterncy icon backtesting-lowlaterncy

This is a backtesting demo in Python. Different moving average prices are used to make buy and sell decisions. A Jupyter notebook version is for serial mode. while py version is for multiprocessing. A version for GPU has been tried, but not successful.

bb_rpb_tsl icon bb_rpb_tsl

A Trading strategy for the Freqtrade crypto bot.

bidask icon bidask

Efficient Estimation of Bid-Ask Spreads from Open, High, Low, and Close Prices

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