Panel 03

Trading Simulation

Autonomous paper-trading engine to observe live

This panel is not interactive. You observe an autonomous simulator that receives hot signals, makes TAKE/SKIP decisions, and manages positions with $100 virtual capital.

How it works

Signal → Decision pipeline

Each signal goes through should_take_trade(): BTC regime, minimum score, OI, funding, and CVD filters. TAKE/SKIP is logged with rationale.

Position management

ATR-based SL/TP, fixed 10x leverage, and progressive trailing stop (break-even then trail). Real-time monitoring via Binance WebSocket.

Decision logs

Each decision is logged with score, direction, market context, and TAKE/SKIP reason.

Statistics

Win rate, profit factor, total P&L, and trade count to evaluate the strategy without risking real capital.

How to use this panel without over-reading the signal

RoadTo1M exposes market data to understand context, not to issue buy or sell instructions. A signal must be checked against BTC regime, liquidity, open interest, funding, volume and the local structure of the pair.

Method

Compare several metrics instead of relying on one indicator. OI, funding or volume extremes are not enough without structural confirmation.

Limits

Real-time data can change quickly. The panel helps read risk; it does not replace a risk plan, a stop or a clear invalidation level.

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