Add tradefloor to Trading & Backtesting (#747)

Co-authored-by: Wilson Freitas <wilson.freitas@gmail.com>

README.md

@@ -326,6 +326,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [Sextant](https://github.com/raphaub-hub/SEXTANT) - `Python` - Local event-driven backtesting engine with no-code strategy builder and FRED vintage, ALFRED, yFinance support.
 
 - [TradeClaw](https://github.com/naimkatiman/tradeclaw) - `Node.js` `TypeScript` - Open-source self-hosted AI trading signal platform. Generates buy/sell signals using RSI, MACD, EMA, Bollinger Bands for forex, crypto and commodities. Deployable via Docker Compose. ([Demo](https://tradeclaw.win/dashboard))
+- [tradefloor](https://github.com/simoncoombes/tradefloor) - `Python` `Rust` - Generates simulated stock markets for testing trading strategies and AI agents, with a limit order book per company and an economy underneath, so orders fill against the book and move prices, and any run can be forked or replayed exactly.
 - [ShowMe](https://github.com/nazmiefearmutcu/showMe) - `Python` `Rust` `TypeScript` - Open-source native macOS market cockpit. 12-timeframe consensus scan across 3370 symbols (crypto + equity + ETF + FX + commodity + bond), 23 technical indicators with per-market calibration, real WebSocket streaming. Tauri shell + Python sidecar (FastAPI) + React UI; 110+ exchanges via ccxt.
 - [Dive Into Crypto](https://github.com/nazmiefearmutcu/dive-into-crypto) - `Python` `Kotlin` - Binance perpetual-futures scanner with technical-indicator consensus, multi-timeframe analysis, and desktop and Android interfaces.
 - [TraderHarness](https://github.com/HephaestLab/TraderHarness) - `Python` - Contamination-resistant A-share backtesting environment for LLM trading agents with point-in-time masking, entity/date anonymization, fingerprinted replay, and trajectory (SFT) export.