Trade Lifecycle

Every autonomous trade follows a five-stage process from signal detection to exit.

Stage 1: Opportunity Detection

The AI continuously scans for actionable signals:

• Technical breakouts — Price breaking key support/resistance with volume
• On-chain accumulation — Whale wallets building positions
• Sentiment shifts — News events or social media trends changing direction
• Arbitrage — Price discrepancies across BSC DEXes

Stage 2: Position Sizing

Based on your risk configuration:

• Portfolio percentage — Never exceed max allocation per trade
• Kelly criterion — Mathematically optimal bet sizing based on win probability
• Volatility adjustment — Smaller positions in higher-volatility tokens

Stage 3: Entry Execution

• Optimal timing — Avoid high-slippage periods
• Split orders — Break large orders to minimize market impact
• MEV-aware routing — Protect against sandwich attacks on BSC

Stage 4: Position Management

Once in a trade, the AI actively manages:

• Trailing stops — Dynamically adjust stop-loss as price moves favorably
• Partial profit-taking — Lock in gains at predetermined levels
• Re-evaluation — Update thesis based on new data, adjust or exit

Stage 5: Exit Execution

Target reached

Price hits take-profit level

Stop-loss triggered

Price hits loss limit

Thesis invalidated

New data contradicts the original trade rationale

Time-based

Position held beyond maximum intended duration