finance MCP Server
AI-Powered Quantitative Trading Engine — Evolve strategies with genetic algorithms
Discovered via github-seeds and last synced 3mo ago.
Install instructions not detected yet
Check the source repository for the latest setup steps.
Entry Price
0–1
Z-score, Keltner channel position
%
OBV, smart money, Wyckoff VSA
Market
sensitivity
13
2–60
14
Range
200
Market
Best DNA
ADX, EMA golden cross, MA fan
Trades
These are backtests with walk-forward validation, not live trades. That's the whole point of paper trading — proving it works forward, not just backward. --- ## Anti-Overfitting We learned this the hard way. An early version showed 25,000% returns. Turned out to be a bug — look-ahead bias.
Risk, quality, price structure, sentiment, DRL
Return
### ₿ Crypto V13 (17 assets — Gen 53)
Microsoft Qlib compatible factors
2026-04-18
Count
What the DNA learned
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