Add Sharpen to Trading & Backtesting (#759)

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

README.md

@@ -285,6 +285,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [Trading Strategy](https://github.com/tradingstrategy-ai/getting-started) - `Python` - TradingStrategy.ai is a market data, backtesting, live trading and investor management framework for decentralised finance.
 - [Hikyuu](https://github.com/fasiondog/hikyuu) - `Python` `C++` - A base on Python/C++ open source high-performance quant framework for faster analysis and backtesting, contains the complete trading system components for reuse and combination.
 - [rust_bt](https://github.com/jensnesten/rust_bt) - `Python` - A high performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust.
+- [Sharpen](https://github.com/bigcan/sharpen) - `Python` - Open-source agentic-AI quant strategy builder that tries to disprove a strategy before it ships, including Crucible, an alpha-miner (Apache-2.0).
 - [Gunbot Quant](https://github.com/GuntharDeNiro/gunbot-quant) - `Python` - Toolkit for quantitative trading analysis. It integrates an advanced market screener, a multi-strategy, multi-asset backtesting engine. Use with built-in GUI or through CLI.
 - [StrateQueue](https://github.com/StrateQueue/StrateQueue) - `Python` - An open‑source, broker‑agnostic Python library that lets you seamlessly deploy strategies from any major backtesting engine to live (or paper) trading with zero code changes and built‑in safety controls.
 - [PythonTradingFramework](https://github.com/JustinGuese/python_tradingbot_framework) - `Python` - Python algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.