Solar Wind is a SOLUSDT crypto futures strategy designed for fast intraday execution. The strategy logic, decision flow, and trade management follow a controlled, indicator-light framework to keep signals robust and reduce overfitting risk.

• Operates on intraday timeframes ranging from 15 minutes to 1 hour
• Entry signals are generated using a compact set of technical features combined with a reinforcement learning (RL) filter trained on multi-year historical backtests
• Large Language Models (LLMs) — including ChatGPT, Claude, and Kimi — interpret short-term SOL market context (next hours / end-of-day window) and dynamically compute Take Profit, Stop Loss, and Trailing Stop levels in real time

1) Narrow signal framework (indicator-light)

• Oscillator-based triggers to detect short-term overextension and mean-reversion setups
• Trend and momentum confirmation to avoid low-quality or unstable regimes

2) Reinforcement Learning layer (narrow ML, focused role)

• Accepts or rejects SOL setups based on detected market regime and structure quality
• Filters out choppy conditions and low-signal environments
• Reduces aggressiveness during elevated volatility / unstable structure
• Optionally modulates exposure sizing using confidence metrics

3) LLM-managed exits (TP / SL per trade)

• Adaptive TP/SL derived from volatility regimes and SOL structure zones
• Context-aware calibration using macro vs short-term alignment
• Per-trade risk management enforced within strict, predefined guardrails

4) Multi-timeframe blend (short-term + macro context)

• Short-term execution layer focused on timing and entry efficiency
• Daily macro trend context used for directional bias, filtering, and regime alignment