exit-strategieslisted

# Exit Strategies Entries are easy, exits are everything. A mediocre entry with a disciplined exit will outperform a perfect entry with no exit plan. This skill covers systematic, rule-based exit methods for crypto and Solana token trading. ## Why Exits Matter - **Entries** determine _if_ you participate. **Exits** determine _how much_ you keep. - Most traders spend 90% of effort on entries and 10% on exits — invert this. - Without defined exits you rely on emotion, which guarantees inconsistency. - Every trade should have **three exits defined before entry**: stop loss, take profit, and trailing stop. ## Exit Categories ### 1. Stop Loss — Risk Management Exits Predefined price level where you close the position to cap downside. | Method | Description | Best For | |--------|-------------|----------| | Fixed percentage | Exit at entry − X% | Simple setups, beginners | | ATR-based | Entry − ATR(14) × multiplier | Volatility-adaptive | | Support level | Below nearest swing low | Technically defined risk | | Maximum loss | Absolute SOL/USD cap | Account protection | **ATR-based stop (recommended default):** ```python import pandas_ta as ta atr = df.ta.atr(length=14) stop_loss = entry_price - (atr.iloc[-1] * 2.0) # 2x ATR below entry ``` Multiplier guide: - **1.5×** — Tight. High win rate needed. Good for scalps. - **2.0×** — Standard. Balances noise filtering with risk. - **3.0×** — Wide. For swing trades in volatile conditions. See `references/stop_loss_methods.md