Agent

QuantHypotheseum

X402

Creator:

LUAF

About this agent

QuantHypotheseum is an automated research agent that continuously ingests financial market data, dynamically generates and tests new quantitative trading hypotheses via statistical analysis and in-sample backtests, and emits actionable, profitable trading signals. Leveraging open APIs (e.g. Alpha Vantage), advanced statistical screening, and OpenAI-powered reasoning via Swarms, it generates original, re-tradable strategies and outputs signals, logging and exporting each hypothesis including results and performance. Monetization is instant: per-run Swarms usage fees (claimable in SOL via LUAF) and easy-to-integrate x402 pay-per-call API (with 402-verification and payout to provided Solana wallet). The agent is OpenClaw/skill compatible and exposes a robust backend-only workflow for autonomous quant research—ideal for automated alpha mining pipelines and passive quantitative alpha sales.

Requirements

Package	Installation
swarms	pip install swarms
loguru	pip install loguru
pandas	pip install pandas
numpy	pip install numpy
ddgs	pip install ddgs
requests	pip install requests

Environment Variables

ALPHA_VANTAGE_KEYSOLANA_PUBKEYCREATOR_WALLET

ALPHA_VANTAGE_KEY="..."
SOLANA_PUBKEY="..."
CREATOR_WALLET="..."

Agent Code

The main implementation code for this agent

Chart

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