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Monitoring Performance

Track, analyze, and optimize your active trading strategies for maximum profitability.

Performance dashboard​

Access your strategy performance metrics:

  1. Navigate to Strategy Builder
  2. Select an active strategy
  3. View Performance tab

Key metrics displayed​

Overall performance:

  • Total return (%)
  • Net profit/loss ($)
  • Current drawdown
  • Active positions

Trade statistics:

  • Total trades executed
  • Winning trades
  • Losing trades
  • Win rate (%)
  • Profit factor

Risk metrics:

  • Maximum drawdown
  • Average win vs average loss
  • Largest winning trade
  • Largest losing trade

Trade history​

Review all executed trades:

Trade details:

  • Entry timestamp and price
  • Exit timestamp and price
  • Position side (long/short)
  • Position size
  • Leverage used
  • Profit/loss ($)
  • Profit/loss (%)
  • Fees paid
  • Reason for entry/exit

Filtering options:

  • Date range
  • Profitable vs losing trades
  • Long vs short positions
  • Minimum profit/loss amount

Export functionality:

  • Download trade history as CSV
  • Use for tax reporting or analysis
  • Import into spreadsheet tools

Real-time monitoring​

Active positions​

Track current open positions:

Position information:

  • Symbol and side
  • Entry price and time
  • Current price
  • Unrealized P/L
  • Position size
  • Leverage
  • Active stop loss level
  • Active take profit level

Position actions:

  • View on DEX
  • Manually close position (emergency)
  • Adjust stop loss/take profit (if supported)

Recent signals​

View latest signal generation:

Signal log:

  • Timestamp of signal check
  • Indicator values at check time
  • Conditions evaluated
  • Signal generated (entry/exit/none)
  • Action taken

Useful for:

  • Understanding why trades executed
  • Debugging unexpected behavior
  • Verifying strategy logic
  • Learning indicator patterns

Performance analysis​

Comparing to backtest​

Expected variations:

  • Live results typically 10-20% worse than backtest
  • Slippage affects execution prices
  • Market conditions may differ
  • Random variance in short term

Red flags:

  • Performance >30% worse than backtest
  • Win rate significantly lower
  • Much larger drawdowns
  • Completely different trade frequency

Possible causes:

  • Market regime changed
  • Overfitted backtest
  • Execution issues
  • Configuration error

Tracking key ratios​

Win rate:

  • Formula: (Winning trades / Total trades) × 100
  • Good: >50%
  • Monitor trend over time
  • Compare to backtest expectations

Profit factor:

  • Formula: Gross profit / Gross loss
  • Good: >1.5
  • Must stay above 1.0 to be profitable
  • Declining trend is warning sign

Average win/loss ratio:

  • Formula: Average win size / Average loss size
  • Good: >1.5
  • Higher is better
  • Compensates for lower win rate

Sharpe ratio:

  • Measures risk-adjusted returns
  • Good: >1.0
  • Higher means better returns for risk taken
  • Calculated over time period

Drawdown monitoring​

Current drawdown:

  • Decline from peak account value
  • Expressed as percentage
  • Acceptable: less than 15%
  • Warning: 15-25%
  • Critical: more than 25%

Maximum drawdown:

  • Largest peak-to-trough decline ever
  • Compare to backtest maximum drawdown
  • Should not exceed backtest by much
  • Indicates worst-case scenario

Drawdown duration:

  • How long in drawdown period
  • Short drawdowns normal
  • Extended drawdowns (>1 month) concerning
  • May indicate strategy stopped working

Optimization strategies​

When to adjust​

Good performance:

  • Meeting or exceeding backtest expectations
  • Consistent profitability
  • Drawdowns within limits
  • Don't change anything

Underperforming:

  • Returns below backtest
  • Higher than expected losses
  • Frequent stop loss hits
  • Consider adjustments

Not trading:

  • No signals generated
  • Conditions too strict
  • Market conditions unfavorable
  • May need modification

What to adjust​

Risk parameters:

  • Widen stop loss if hit too frequently
  • Tighten take profit if rarely reached
  • Adjust position size
  • Modify leverage

Entry conditions:

  • Relax if too few trades
  • Strengthen if too many trades
  • Add filters for better quality
  • Remove redundant conditions

Exit conditions:

  • Adjust profit targets
  • Modify stop loss levels
  • Add trailing stops
  • Change exit logic

Timeframe:

  • Try longer timeframe if too noisy
  • Try shorter timeframe if too slow
  • Match to market volatility
  • Consider current conditions

Testing adjustments​

Proper approach:

  1. Deactivate current strategy
  2. Create new draft with adjustments
  3. Backtest modified strategy
  4. Compare results to original
  5. Deploy if improved

Avoid:

  • Making changes to live strategy
  • Adjusting without backtesting
  • Changing multiple parameters at once
  • Reacting to single trade

Alert system​

Setting up alerts​

Configure notifications for important events:

Trade alerts:

  • Position opened
  • Position closed
  • Stop loss triggered
  • Take profit reached

Performance alerts:

  • Daily profit/loss threshold
  • Drawdown exceeds limit
  • Win rate drops below target
  • Consecutive losses

System alerts:

  • Execution errors
  • Connectivity issues
  • Insufficient balance
  • Strategy paused

Alert channels​

Available options:

  • Email notifications
  • Discord messages
  • Telegram bot
  • In-app notifications

Best practices:

  • Don't over-alert (causes fatigue)
  • Focus on actionable events
  • Set appropriate thresholds
  • Review and adjust regularly

Common monitoring mistakes​

Over-monitoring​

Problem: Checking performance every hour, reacting to every trade

Impact:

  • Emotional decision making
  • Premature strategy changes
  • Increased stress
  • Worse outcomes

Solution:

  • Check once daily maximum
  • Focus on weekly/monthly trends
  • Trust your backtest
  • Set alerts for critical events

Ignoring drawdowns​

Problem: Not taking action when drawdown exceeds limits

Impact:

  • Larger losses than necessary
  • Account depletion
  • Missed opportunity to cut losses
  • Emotional distress

Solution:

  • Set hard drawdown limits (20-25%)
  • Pause strategy if limit reached
  • Review what went wrong
  • Don't resume until understood

Chasing losses​

Problem: Increasing leverage or budget after losses

Impact:

  • Amplified losses
  • Emotional trading
  • Account blow-up risk
  • Violates risk management

Solution:

  • Stick to original plan
  • Never increase risk after losses
  • Accept losses as normal
  • Focus on process, not results

Premature optimization​

Problem: Changing strategy after 2-3 losing trades

Impact:

  • Never give strategy chance to work
  • Constant changes prevent learning
  • May abandon winning strategy
  • Optimization based on noise

Solution:

  • Wait for statistical significance (20+ trades)
  • Compare to backtest expectations
  • Understand normal variance
  • Make data-driven decisions

When to stop a strategy​

Clear stop signals​

Immediate stop:

  • Drawdown exceeds 25%
  • Technical errors in execution
  • Strategy logic is flawed
  • Insufficient balance to continue

Consider stopping:

  • Consistent underperformance vs backtest
  • Market conditions fundamentally changed
  • Better opportunities elsewhere
  • Emotional stress too high

Don't stop for:

  • Single losing trade
  • Short-term drawdown (less than 15%)
  • Temporary market volatility
  • Impatience

Deactivation process​

  1. Review performance data
  2. Identify root cause of issues
  3. Decide if fixable or fundamental
  4. Deactivate strategy
  5. Close open positions
  6. Document lessons learned

Post-mortem analysis​

Questions to answer:

  • What worked well?
  • What didn't work?
  • Why did performance differ from backtest?
  • What would you change?
  • Is strategy salvageable?

Use insights for:

  • Improving future strategies
  • Avoiding same mistakes
  • Understanding market dynamics
  • Building better systems

Best practices​

Regular review schedule​

Daily (5 minutes):

  • Check for alerts
  • Verify strategy is running
  • Note any unusual activity

Weekly (15 minutes):

  • Review trade history
  • Check performance metrics
  • Compare to backtest
  • Assess if on track

Monthly (30 minutes):

  • Comprehensive performance analysis
  • Calculate all key metrics
  • Evaluate if strategy still valid
  • Decide on continuation

Documentation​

Keep records of:

  • Deployment date and parameters
  • Backtest results for comparison
  • All trades executed
  • Performance metrics over time
  • Any adjustments made
  • Lessons learned

Benefits:

  • Track improvement over time
  • Learn from mistakes
  • Justify decisions
  • Tax reporting
  • Strategy refinement

Risk management​

Position sizing:

  • Never risk more than 2-5% per trade
  • Keep total exposure reasonable
  • Maintain cash reserves
  • Diversify across strategies

Stop loss discipline:

  • Always honor stop losses
  • Don't widen after deployment
  • Accept losses quickly
  • Protect capital first

Profit taking:

  • Lock in profits at targets
  • Don't get greedy
  • Scale out if possible
  • Reinvest wisely

Advanced monitoring​

Correlation analysis​

Track how strategies correlate:

Low correlation (less than 0.3):

  • Strategies are independent
  • Good for diversification
  • Reduces overall risk

High correlation (more than 0.7):

  • Strategies move together
  • Limited diversification benefit
  • Consider reducing exposure

Market regime detection​

Identify current market conditions:

Trending market:

  • Trend-following strategies excel
  • Mean reversion underperforms
  • Breakout strategies work

Ranging market:

  • Mean reversion excels
  • Trend-following struggles
  • Oscillators more reliable

High volatility:

  • Wider stops needed
  • Larger profit potential
  • Higher risk

Low volatility:

  • Tighter stops acceptable
  • Smaller profit targets
  • Fewer opportunities

Performance attribution​

Understand what drives returns:

Winning factors:

  • Which conditions produce best trades
  • What timeframes work best
  • Which indicators are most valuable
  • Optimal entry/exit timing

Losing factors:

  • What causes losses
  • Which conditions to avoid
  • When strategy fails
  • How to improve

Next steps​

Continue improving your strategies:

  1. Creating Strategies - Build new strategies
  2. Backtesting - Test improvements
  3. Deploying - Launch optimized strategies
  4. Overview - Review all features

Support​

Need help monitoring your strategies?