A research loop for equity strategy.
A human generates the trade theses, and the language model writes the research hypotheses. Python validates them against price structure systematically.
Paper trading under strict risk management and security protocols. Live deployment requires passing all go/no-go checks.
Starting portfolio: $100,000. All results are paper-traded simulations.
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The Approach
A human designs the strategy, writes the Python code, and makes all final entry decisions. The system surfaces candidates; the human acts.
Quantitative filters systematically screen the watchlist: volume, structure, ATR-normalized range, relative strength.
Language models detect patterns across sector data, news flow, and positioning to surface directional hypotheses at scale.
An RL model trained on historical outcomes continuously refines signal quality, penalising false positives and recency bias.
Currently live paper trading — all results shown are simulated with no real capital at risk.
Paradigm is a research platform. No financial advice is provided. Past simulated performance does not guarantee future results.