Capture multi-day price swings with automated swing trading rules. Execute systematic entries and exits across timeframes while managing risk consistently.
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Automated swing trading captures price moves over days and weeks using systematic rules instead of gut feelings. Set conditions like RSI below 35 on daily charts combined with volume spikes above 150% average to enter positions. Your rules monitor Binance, Coinbase, Kraken and other exchanges continuously while you focus on analysis rather than execution.
The platform analyzes multiple timeframes simultaneously to identify swing setups. Daily charts provide trend context while 4-hour candles pinpoint precise entries. Moving averages, RSI divergences and support levels combine to filter high-probability swing opportunities without manual chart scanning.
Swing positions require different sizing than scalping or day trading. Rules can allocate 2-5% per swing trade with wider stop losses around 8-12% to accommodate normal volatility. Portfolio limits prevent overconcentration while correlation filters avoid taking multiple similar swing positions simultaneously.
Swing trading rule templates
Templates include momentum breakout swings, mean reversion plays and trend continuation patterns. Each template specifies entry conditions, stop placement and profit targets optimized for multi-day holding periods rather than intraday moves.
Risk management for swing trades
The automation includes trailing stops that adjust as positions move favorably, partial profit taking at key resistance levels and correlation limits to prevent portfolio concentration in similar assets during market swings.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily timeframes with volume confirmation. Exits at RSI 70 or after 5-10 day holding period. Captures oversold bounces in trending markets.
Volatility Breakout
Enters positions when price breaks above 20-day high with expanding volume. Uses ATR-based stops and trails profits. Designed for momentum swing moves in volatile assets.
Moving Average Pullback
Trades pullbacks to key moving averages on 4-hour charts. Enters when price touches MA50 in uptrends. Exits on opposite MA cross or time-based stops.
Bollinger Band Mean Reversion
Buys at lower Bollinger Band, sells at upper band on daily charts. Includes RSI confirmation and volume filters. Works best in ranging market conditions.
Momentum Pullback
Enters on pullbacks in strong trends after 3-5 day consolidations. Uses multiple timeframe confirmation and momentum oscillators. Targets trend resumption moves.
RSI Oversold Rebound
Buys when RSI drops below 30 on daily timeframes with volume confirmation. Exits at RSI 70 or after 5-10 day holding period. Captures oversold bounces in trending markets.
Volatility Breakout
Enters positions when price breaks above 20-day high with expanding volume. Uses ATR-based stops and trails profits. Designed for momentum swing moves in volatile assets.
Moving Average Pullback
Trades pullbacks to key moving averages on 4-hour charts. Enters when price touches MA50 in uptrends. Exits on opposite MA cross or time-based stops.
Bollinger Band Mean Reversion
Buys at lower Bollinger Band, sells at upper band on daily charts. Includes RSI confirmation and volume filters. Works best in ranging market conditions.
Momentum Pullback
Enters on pullbacks in strong trends after 3-5 day consolidations. Uses multiple timeframe confirmation and momentum oscillators. Targets trend resumption moves.
Support and Resistance Bounce
Identifies key support/resistance levels and trades bounces with tight stops. Combines price action with volume analysis for higher probability swing entries.
Supertrend Momentum
Follows Supertrend indicator signals on daily charts with additional momentum filters. Enters on trend changes, exits on opposite signals or time stops.
Range Bound Reversal
Trades range extremes in sideways markets using oscillators and support/resistance. Buys at range lows, sells at range highs with defined risk parameters.
Breakout Plus Retest
Enters after breakouts retest previous resistance as support. Waits for confirmation candle and volume expansion. Targets measured moves from breakout patterns.
ADX Trend Strength Filter
Uses ADX to filter trending vs ranging conditions before entering swing trades. Only takes momentum trades when ADX shows strong directional movement above 25.
Different assets require different swing timeframes for optimal results. Bitcoin swings often develop over 7-14 days while altcoins may complete cycles in 3-5 days. Rules can adjust holding periods and profit targets based on historical volatility patterns and average true range measurements for each asset class.
Trading across multiple assets requires correlation awareness to avoid concentration risk. The system can limit simultaneous positions in highly correlated pairs and adjust position sizes when market-wide volatility increases. This prevents portfolio drawdowns when entire sectors move together during swing reversals.
Swing exits require more nuance than scalping strategies since positions run for days or weeks. Rules can combine time-based exits, technical level targets and trailing stops that adjust based on volatility. Partial profit taking at 50% and 75% of target allows capturing gains while letting winners run for larger moves.
Strategies perform differently in trending versus ranging market conditions. The platform can detect regime changes using volatility measures and trend strength indicators, automatically adjusting strategy parameters or pausing certain approaches when market character shifts significantly.
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Marcus K.
Elena R.
Viktor S.
Sofia M.
Chen W.
Priya N.
Longer holding periods require different risk management than intraday strategies. Portfolio heat maps show correlation exposure while time-based stops prevent positions from running indefinitely. Maximum drawdown limits can pause new entries when portfolio volatility exceeds predefined thresholds.
Positions across multiple exchanges require coordination to prevent overallocation and ensure consistent risk management. The system tracks total exposure across Binance, Coinbase, Kraken and other connected venues while maintaining unified stop loss and profit target execution.
Advanced users combine multiple approaches like momentum breakouts with mean reversion plays to capture different market phases. Strategy allocation rules can shift capital between approaches based on market volatility and trend strength measurements.
Detailed analytics show which setups produce the best risk-adjusted returns across different market conditions. Heat maps reveal optimal entry times, holding periods and exit criteria while drawdown analysis helps refine position sizing and correlation limits.
As strategies prove profitable, position sizes and strategy diversity can increase systematically. The platform supports graduated scaling with risk controls that adjust automatically as account size grows, maintaining consistent risk percentages across larger capital allocations.
Experienced traders can modify templates with custom indicators, alternative exit logic and dynamic position sizing based on volatility regimes. The rule builder accommodates complex multi-condition entries and sophisticated risk management approaches tailored to individual trading styles.
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