From ba833e500948a6f5b9b9ef4b05ece7a88968ab00 Mon Sep 17 00:00:00 2001 From: tomaszdobrowolski1 <51756544+tomaszdobrowolski1@users.noreply.github.com> Date: Sat, 30 May 2026 14:20:40 +0300 Subject: [PATCH] Add flashalpha-fill-simulator to Trading & Backtesting (#378) Co-authored-by: Tomasz Dobrowolski --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index dced104..888803d 100644 --- a/README.md +++ b/README.md @@ -227,6 +227,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants - [PyBroker](https://github.com/edtechre/pybroker) - `Python` - Algorithmic Trading with Machine Learning. - [OctoBot Script](https://github.com/Drakkar-Software/OctoBot-Script) - `Python` - A quant framework to create cryptocurrencies strategies - from backtesting to optimization to livetrading. - [hftbacktest](https://github.com/nkaz001/hftbacktest) - `Python` - A high-frequency trading and market-making backtesting tool accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books. +- [flashalpha-fill-simulator](https://github.com/FlashAlpha-lab/flashalpha-fill-simulator) - `Python` - Realistic limit-order fill simulator for options credit/debit spreads with post-and-wait limits, stale-quote guards, deterministic same-bar tiebreaks, and a patient-then-cross exit; engine-agnostic and zero runtime dependencies. - [vnpy](https://github.com/vnpy/vnpy) - `Python` - VeighNa is a Python-based open source quantitative trading system development framework. - [Intelligent Trading Bot](https://github.com/asavinov/intelligent-trading-bot) - `Python` - Automatically generating signals and trading based on machine learning and feature engineering. - [fastquant](https://github.com/enzoampil/fastquant) - `Python` - fastquant allows you to easily backtest investment strategies with as few as 3 lines of python code.