Automate your long-term position strategies with rule-based entries, exits and position sizing across multiple exchanges. Set conditions once and let the system manage your positions.
410k+
traders using automated rules
2.1M+
position entries executed
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Instead of manually monitoring weekly or monthly charts, position trading automation transforms how you manage long-term holdings by executing predefined rules for entries, exits and position sizing. You set conditions once and let the system handle execution across Binance, Coinbase, Kraken and other exchanges. Your positions get managed consistently regardless of market hours or your availability.
The platform lets you define entry conditions based on weekly or monthly timeframes using indicators like moving averages, RSI and support levels. You might set a rule that buys when price breaks above the 20-week MA with RSI below 70, then exits when RSI exceeds 80 or price drops 15% from peak. The system can scale based on volatility or account balance.
Your automation can monitor daily signals while maintaining weekly bias, ensuring short-term noise doesn't disrupt long-term strategy. Rules can layer multiple timeframes so a weekly uptrend combined with daily oversold conditions triggers scaled entries. This systematic approach removes emotion from decisions.
Templates for position strategies
Browse templates designed for traders including trend following, breakout strategies and mean reversion approaches. Each template includes predefined entry conditions, exit rules and sizing logic that you can customize for your risk tolerance and timeframes.
Risk controls for long-term holds
Set maximum sizes, correlation limits and drawdown controls to protect your portfolio during extended holding periods. The system monitors continuously and can reduce exposure or hedge when risk thresholds are breached.
Buy the Dips
Accumulates positions during price declines using dollar-cost averaging with larger buys on bigger dips. Scales position size based on volatility and maintains long-term bullish bias through systematic accumulation.
Supertrend Momentum
Enters long positions when price breaks above Supertrend indicator on weekly charts. Exits when Supertrend flips bearish or trailing stop is hit. Designed for capturing major trend moves in position trading.
MA Crossover with Volume Filter
Buys when 50-week MA crosses above 200-week MA with above-average volume confirmation. Sells when crossover reverses. Classic position trading strategy for long-term trend identification.
Breakout Plus Retest
Enters positions on breakouts from consolidation ranges, then adds to position on successful retests of breakout level. Uses multiple timeframes to confirm breakout validity and manage entries.
RSI Oversold Rebound
Buys when RSI drops below 30 on weekly charts in established uptrends. Exits when RSI exceeds 70 or price reaches resistance. Captures oversold bounces in trending markets for position building.
Buy the Dips
Accumulates positions during price declines using dollar-cost averaging with larger buys on bigger dips. Scales position size based on volatility and maintains long-term bullish bias through systematic accumulation.
Supertrend Momentum
Enters long positions when price breaks above Supertrend indicator on weekly charts. Exits when Supertrend flips bearish or trailing stop is hit. Designed for capturing major trend moves in position trading.
MA Crossover with Volume Filter
Buys when 50-week MA crosses above 200-week MA with above-average volume confirmation. Sells when crossover reverses. Classic position trading strategy for long-term trend identification.
Breakout Plus Retest
Enters positions on breakouts from consolidation ranges, then adds to position on successful retests of breakout level. Uses multiple timeframes to confirm breakout validity and manage entries.
RSI Oversold Rebound
Buys when RSI drops below 30 on weekly charts in established uptrends. Exits when RSI exceeds 70 or price reaches resistance. Captures oversold bounces in trending markets for position building.
Volatility Breakout
Enters positions when price breaks out of low volatility periods with expanding volume. Uses ATR to measure volatility compression and expansion for timing entries in position trades.
Accumulation Zone Bot
Identifies and accumulates positions in established accumulation zones using volume analysis and price action. Builds positions gradually while price consolidates before major moves.
Support Resistance Bounce
Buys at key support levels and sells at resistance with position sizing based on level strength. Uses multiple touches and volume to confirm support/resistance validity for position entries.
Sector Momentum Switcher
Rotates positions between sectors based on relative strength and momentum indicators. Maintains long-term exposure while shifting allocation to outperforming sectors systematically.
Fibonacci Pullback Entries
Enters positions at key Fibonacci retracement levels during pullbacks in established trends. Uses 38.2%, 50% and 61.8% levels for scaled entries with trend confirmation indicators.
Your rules can dynamically adjust sizes based on volatility, account balance and correlation with existing holdings. Set maximum limits per asset and total portfolio exposure limits. The system can reduce sizes during high volatility periods or increase them during low volatility consolidations. Risk controls include stop losses, trailing stops and time-based exits.
Coordinate positions across multiple exchanges to optimize liquidity and reduce counterparty risk. Your automation can split large positions across Binance, Coinbase and Kraken while maintaining unified risk management. This approach improves execution quality for larger sizes and provides redundancy.
Test your rules against historical data to validate performance across different market cycles. The backtesting engine simulates your entry and exit conditions using years of price data, helping you refine rules before deploying capital. Results include metrics like win rate, average holding period and maximum drawdown.
Automate periodic rebalancing of your portfolio to maintain target allocations. Set rules that trigger rebalancing when allocations drift beyond specified thresholds or on scheduled intervals. The system can sell overweight positions and buy underweight ones to restore balance systematically.
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Henrik L.
Sofia M.
Viktor P.
Elena K.
Lars H.
Ingrid N.
Layer multiple conditions for sophisticated management including correlation analysis, sector rotation and momentum filters. Your rules can consider market regime, volatility environment and cross-asset signals when making decisions. Advanced features include dynamic hedging, pairs trading and market-neutral construction.
Automate tax-loss harvesting and long-term capital gains optimization through systematic management. Rules can consider holding periods, tax implications and wash sale rules when making exit decisions. This approach optimizes after-tax returns while maintaining your investment strategy.
Monitor all automated positions through unified dashboards showing entry prices, current values, unrealized gains and holding periods. Generate reports for tax purposes, performance analysis and strategy evaluation. Track metrics across all connected exchanges in one interface.
Start with small sizes and gradually scale up as your automated strategies prove effective. The platform supports scaling based on strategy performance, allowing successful rules to manage larger allocations over time. This approach reduces risk while building confidence in systematic management.
Integrate automated trading with existing investment portfolios and manual holdings. Your rules can consider total portfolio exposure across automated and manual positions when making sizing decisions. This unified approach prevents over-concentration and maintains proper diversification.
Start by defining your trading objectives, risk tolerance and preferred timeframes. Choose from templates or build custom rules for entries, exits and sizing. Test your strategy with backtesting, then deploy with small sizes to validate performance before scaling up.
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