sherwood-directional-agent

Automate directional crypto trading by applying modular scoring across technical, sentiment, on-chain, and event signals to generate trade proposals. The workflow scores signals, gates entries based on regime and correlation, and outputs model-driven trade decisions for multi-token portfolios.

Regime-aware gating in crypto trading suppresses unwanted entries during unfavorable market conditions by evaluating correlation and market regime data. The agent uses this mechanism to manage risk and filter trade proposals before execution in both paper and live trading modes.

Backtest crypto trading strategies by comparing parameter configurations and validating them on held-out data using walk-forward validation. The agent automates this calibration process, comparing historical parameter settings and optimizing performance based on autoresearch-backed results.

Use an automated agent to score trading signals across multiple data domains including technical, sentiment, on-chain, and event data. The agent aggregates these domains into a unified scoring model that drives decision-making and generates directional trade proposals.

The directional trading agent supports both paper and live execution modes through modular scoring, gating, and execution workflows. Users can analyze tokens and execute model-driven trades in either mode depending on their deployment configuration.

Avoid using an automated directional trading agent when manual intervention is required for complex market conditions outside the scoring and gating parameters. The agent relies on regime-aware decisions and backtesting calibration, which may not adapt to unprecedented market anomalies without parameter updates.