V. Backtesting & Professional Interpretation
Last updated
Last updated
The AL/AI Agent Ranger Reversor v1 is not just visually optimized — it’s also designed to be fully auditable using TradingView’s native strategy tester. This allows you to simulate real-world performance with maximum realism and transparency.
This section explains how to interpret key backtest metrics and performance visualizations like a pro.
Click the agent in the Pine Editor
Click Add to Chart → Strategy mode activates automatically
Open the Strategy Tester tab at the bottom of the screen
Run the simulation using the built-in settings, or modify them for your test case
From the Inputs panel of the script, scroll down to:
Start Date
End Date
Set your custom time window — this will apply to all calculations (equity curve, trades, drawdown, etc.)
💡 This is ideal for testing how the bot performs across different market cycles.
The equity curve represents the agent’s cumulative net profit over time. In your backtest, we saw:
+437.88 USD in profit
+437.36% return on capital
Drawdown: 5.91%
Total trades: 770
Win rate: 71.30%
This is a strong, consistent performance with a smooth curve and limited volatility.
Net Profit: Total money earned after all trades
Gross Profit / Loss: Breakdown of all winning vs. losing trades
Commission Paid: Simulated cost of trading with 0.045% per trade
Buy & Hold Return: Shows benchmark if you had held ETH over the same period
Max Equity Drawdown: How much the bot risked during its worst trade window
From the "Trades Analysis" tab:
Total Trades: 770
Winning Trades: 549
Losing Trades: 221
% Profitable: 71.30%
Average P/L per Trade: $0.57
Ratio Avg Win / Avg Loss: 1.02
Largest Win: $24.86
Largest Loss: $4.72
Average bars in trade: 5 candles
🧠 This indicates a short-cycle scalping pattern with high-frequency reversals.
From the "Risk / Performance Ratios" tab:
Sharpe Ratio: 1.612 → Great risk-adjusted return
Profit Factor: 2.538 → Strong overall edge (above 1.5 is considered solid)
These ratios show that the strategy generates consistent alpha with controlled drawdowns.
From the "List of Trades" tab, you can inspect every trade with:
Entry and exit time
Entry and exit price
Trade direction (long/short)
Run-up and drawdown
Realized P/L
Cumulative equity
📌 Tip: Use this list to identify patterns in win streaks, reversal timing, and trailing logic effectiveness.
Net Return: +437.88 USD
Drawdown: 5.91%
Win Rate: 71.30%
Profit Factor: 2.538
Total Trades: 770
Consistency: High
Execution Risk: Low
🎯 The agent shows excellent performance in 45M ETH/USDT with low drawdown and high frequency.