Systematic exit rules, stop-loss methods, take-profit strategies, and trailing stop implementations for crypto trading

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): 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 for complete methodology. 2. Take Profit — Target Exits Predefined levels where you lock in gains. Fixed risk/reward targets: Scaled exit framework (recommended for meme/PumpFun tokens): Tranche Size Target Action After 1 25% 2× risk Move stop to breakeven 2 25% 3–5× risk Trail remainder 3 25% 5–10× risk Tighten trail 4 25% Trailing stop Moonbag — let it ride Market cap milestone exits: For PumpFun and meme tokens where R:R ratios are less meaningful: See references/take profit strategies.md for full methodology including Fibonacci extension targets and volume based exits. 3. Trailing Stop — Trend Following Exits Dynamic stops that follow price upward but never move down. Percentage trailing: ATR trailing (Chandelier Exit): EMA trailing: Typical EMA periods: 10 (scalp), 20 (day trade), 50 (swing). See references/trailing stops.md for Parabolic SAR, SuperTrend, and step trailing. 4. Time Based Exits Exit if the trade hasn't moved in your favor within a defined window. Guidelines: Scalp : 5–15 minutes Day trade : 4–8 hours Swing : 3–5 days PumpFun snipe : 2–10 minutes (token specific) Time stops prevent capital from sitting in dead trades. 5. Signal Based Exits Exit when the indicator that generated the entry signal reverses. Signal exits work well when combined with trailing stops — the signal triggers tightening the trail rather than an immediate full exit. 6. Liquidity Based Exits Exit when volume or liquidity deteriorates, signaling reduced ability to exit cleanly. Critical for low cap Solana tokens where liquidity can evaporate rapidly. PumpFun Specific Exit Rules PumpFun tokens have unique dynamics requiring specialized exit logic. Pre Graduation Exits Tokens on the bonding curve before reaching 85 SOL fill: Volume Decay Exits Time Decay for PumpFun Most PumpFun tokens that will succeed show momentum within the first few minutes: Timeframe Action 0–2 min Hold — too early to judge 2–5 min Exit if no 2× from entry 5–10 min Exit if no 3× from entry 10+ min Should be trailing, not hoping Combining Exit Rules A complete exit plan layers multiple rules. Here is a recommended template: Priority hierarchy : Hard stop ATR trailing Take profit Time stop. The hard stop is always active and never overridden. The ATR trailing stop activates after the first take profit tranche fills. The time stop only fires if the trade is not yet profitable. Common Exit Mistakes Mistake Problem Fix No stop loss Unlimited downside Always define max loss before entry Moving stops wider Increases risk after the fact Never move stops away from price Not taking profits Winners become losers Use scaled exits All or nothing exits Leaves money on the table or exits too early Scale out in tranches Round number stops Cluster with other traders, get hunted Offset by small random amount Too tight stops Stopped out by normal volatility Use ATR based stops Hoping instead of trailing Gives back profits Activate trail after first TP Ignoring liquidity Cannot exit at intended price Check spread and depth before sizing Integration with Other Skills position sizing — Size the position based on the stop loss distance. position size = (account risk account balance) / (entry stop loss) risk management — Exits are the mechanism that enforces risk limits. pandas ta — Use ATR, EMA, RSI, MACD for signal based and trailing exits. slippage modeling — Estimate execution cost of the exit to set realistic targets. liquidity analysis — Verify exit liquidity before entering a position. Files References references/stop loss methods.md — Complete stop loss methodology and anti patterns references/take profit strategies.md — Scaled exits, R:R targets, Fibonacci extensions references/trailing stops.md — Trailing stop implementations and parameter guidance Scripts scripts/exit simulator.py — Simulate and compare exit strategies on synthetic price data scripts/stop loss calculator.py — Calculate stop levels, position sizes, and R:R targets

exit-strategies