How It Works
- Traders can create multiple groups of conditions.
- Each group is designed to trigger a specific LONG or SHORT action.
- The bot continuously scans live market data to evaluate whether the criteria in any single group are fully met.
- Conditions are defined using price movement patterns, percentage changes, time windows, and recovery/fallback behaviors.
- Conditions can be set per symbol or at the template level (template rules override symbol-level rules).
Example Condition Groups
Group 1: LONG Entry Based on Reversal
- Condition: BTC price crashes 2% from candle start within 15 minutes, then recovers 0.5% within 3 minutes from the lowest point.
- Purpose: Detecting potential V-shaped recoveries to ride early reversal gains.
Group 2: LONG Entry on Momentum
- Condition: BTC price increases 1.2% in 3 minutes from candle start.
- Purpose: Catching early signs of a pump or breakout.
Group 3: SHORT Entry on Sudden Drop
- Condition: BTC price drops 1.2% in 3 minutes from candle start.
- Purpose: Capitalizing on sudden bearish momentum or panic selling.
Evaluation Logic
- The bot processes all defined groups simultaneously.
- Only one group's full condition set needs to be satisfied for the bot to act.
- Conditions in a group must all match — partial matches do not trigger an order.
- Once matched, the appropriate LONG or SHORT order is executed for that symbol.
Customization Levels
- Symbol Level: Define unique conditions based on the price action of each asset.
- Template Level: Set common strategies for multiple symbols, ideal for managing large portfolios. Template settings override symbol-level rules when applied.
Benefits
1. Event-Driven Precision
Execute trades only when specific market behaviors occur—improving entry accuracy and reducing noise.
2. Strategy Flexibility
Supports both momentum and reversal strategies through multi-dimensional conditions and timing logic.
3. High-Frequency Signal Scanning
Real-time evaluation allows the bot to respond instantly to short-lived market opportunities that manual trading might miss.
4. Fine-Grained Control
Define conditions based on the percentage change, duration, and direction, offering micro-level trading control.
5. Reusable Templates
Save time and improve consistency by applying pre-defined rule templates to groups of symbols.
6. Reduced False Triggers
Since all conditions in a group must match, the likelihood of acting on incomplete or misleading data is significantly minimized.
7. Symbol-Specific Strategy Tuning
Adapt your trading strategy per asset class (e.g., BTC vs. small-cap altcoins), making it ideal for portfolio-wide automation.
Real-World Scenarios
- Scalp Trading: Automatically enter trades based on 1–3 minute price bursts.
- Breakout Triggers: Detect potential breakout points with price jump conditions.
- Dip Buy Alerts: React only when deep dips are followed by strong bounce backs.
- Crash Protection: Open SHORTs instantly on sudden drop patterns to hedge positions.