Add Evidence Deflator (#795)

README.md

@@ -221,6 +221,7 @@ A curated list of insanely awesome libraries, packages and resources for Quants
 - [backtrader (cloudQuant fork)](https://github.com/cloudQuant/backtrader) - `Python` - Actively maintained, high-performance backtesting and live trading framework with AI-assisted strategy tooling (MCP server, skills, agent, web platform). Fork of backtrader.
 - [TrendFollowingSystems](https://github.com/ArturSepp/TrendFollowingSystems) - `Python` - Closed-form expected returns, Sharpe ratios, and skewness of trend-following systems, with complete implementations and multi-decade futures backtests.
 - [backtest-bias](https://github.com/Finance-broski/backtest-bias) - `Python` - Checks whether backtest price data is survivor-only: dead-name detection, measured bias benchmarks, CI integrity gates.
+- [Evidence Deflator](https://github.com/Beltran12138/evidence-deflator) - `Python` `MCP` - Checks how much of an LLM trading backtest falls on or before the model's training cutoff and how many clean months a claimed Sharpe needs once the number of attempts is counted, with an MCP server and an evidence-adjusted leaderboard of public AI trading competitions.
 - [falsification-ledger](https://github.com/holdout-labs/falsification-ledger) - `Python` - Hash-chained pre-registration and falsification ledger for research claims: write down what evidence would kill your claim before seeing the data; append-only JSONL with a sha256 chain (`fl verify` detects any edit), Wilson-CI hit-rate vs the random baseline, fail-closed falsification report contracts. [PyPI](https://pypi.org/project/falsification-ledger/)
 - [basana](https://github.com/gbeced/basana) - `Python` - A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.
 - [algobroker](https://github.com/joequant/algobroker) - `Python` - This is an execution engine for algo trading.