TradingView Backtest Report & Strategy Analyzer
Turn your TradingView backtest CSV into a 16-KPI report — Sharpe, Sortino, VaR, Monte Carlo simulation, and more. All processed in your browser, nothing leaves your machine.
Features
Beyond Basics, Insight into True Strategy Performance
9 analysis tabs, 16+ KPI metrics, and institutional-grade tools to validate your trading edge
Calculate 16+ TradingView Backtest Metrics (Sharpe, VaR, SQN & More)
A full dashboard with all the metrics professional traders need. From basic P&L to advanced risk-adjusted ratios like Sharpe Ratio, Sortino Ratio, and Value at Risk (VaR), everything at a glance with direction filtering (All/Long/Short).
- Sharpe Ratio, Sortino Ratio, Calmar Ratio, SQN Score
- Recovery Factor, Ulcer Index, UPI (Martin Ratio), Exposure %
- VaR (95%), CVaR/Expected Shortfall, Skewness, Kurtosis
- Filter by All, Long-only, or Short-only trades
Returns Distribution Analysis
Visualize your trade returns with a professional histogram overlaid with a normal distribution curve. Instantly identify fat tails, skewness, and understand your strategy's return characteristics.
- Histogram with color-coded positive/negative returns
- Normal distribution curve overlay for comparison
- Mean Return, Standard Deviation, and Skewness statistics
- Identify fat tails and distribution asymmetry
Rolling Window Analysis
Track how your strategy performs over time with rolling 20-trade windows. Spot strategy degradation early, identify regime changes, and validate consistency across different market conditions. I ran this on SPY daily data from 2022 to 2024 and the Rolling Sharpe Ratio flagged a degradation three months before the equity curve turned — saved me from a 12% drawdown I would have taken otherwise.
- Rolling Sharpe Ratio - track risk-adjusted performance stability
- Rolling Sortino Ratio - monitor downside risk over time
- Rolling Win Rate - identify winning/losing streaks
- Early warning system for strategy degradation
Monte Carlo Stress Testing
Run 1000 bootstrap simulations to stress-test your strategy against random market variations. Understand worst-case scenarios and quantify the probability of different outcomes. In my experience, the Monte Carlo simulation needs at least 100 trades before the confidence intervals narrow enough to act on — fewer than that and the range is simply too wide.
- 1000 bootstrap simulations with replacement
- Worst Case Drawdown at 95% and 99% confidence
- Risk of Ruin probability calculation
- Spaghetti chart visualization of potential outcomes
Visual Heatmaps for Pattern Discovery
Discover hidden patterns in your trading with multi-dimensional heatmaps. See which months, weeks, or days perform best, and optimize your trading schedule based on historical data.
- Monthly Returns Matrix with YTD% and yearly totals
- Weekly Returns (Week 1-53) for seasonal analysis
- Daily Returns for granular pattern discovery
- Time Efficiency Heatmap (Hour x Day of Week)
MFE/MAE Scatter Analysis
Optimize your take-profit and stop-loss levels with Maximum Favorable Excursion (MFE) and Maximum Adverse Excursion (MAE) analysis. See exactly how much profit you're leaving on the table. Use our strategy optimizer to fine-tune entry and exit rules based on what the scatter plot reveals.
- Scatter plot with MFE (Y-axis) vs MAE (X-axis)
- Color-coded by final trade outcome (green/red)
- Reference line for MFE = MAE comparison
- Data-driven stop-loss and take-profit optimization
AI Analysis: Instant Strategy Verdict & Improvement Suggestions
Click one button and get a structured AI-generated report on your backtest results. The AI scores your strategy, highlights strengths and weaknesses, assesses risk level, and gives concrete improvement suggestions — all grounded in your actual metrics.
- Overall score (0–100) with Strong / Moderate / Weak / Poor verdict
- Strengths and weaknesses grounded in your real metrics
- Risk level assessment with key risk factors
- Metrics insights: Profit Factor, Sharpe, Drawdown, Win Rate commentary
- Actionable improvement suggestions to refine your strategy
- Export the AI report as a Markdown file alongside your Excel workbook
Export TradingView Strategy Results to Excel
Export your complete TradingView backtest analysis to a professionally formatted Excel workbook with 8+ sheets. Share with your team, archive for compliance, or use for further analysis in your favorite tools.
How It Works
From TradingView to Deep Analysis in 3 Steps
Export from TradingView Strategy Tester
Open your strategy in TradingView, navigate to the Strategy Tester tab at the bottom of the chart, and click on the "List of Trades" tab. Then click the export icon to download your trade data as a CSV file. This TradingView CSV export contains all the trade information needed for deep analysis.
Upload Your TradingView Backtest Data
Drag and drop your TradingView CSV export file into our analyzer tool, or click to browse and select the file. You can optionally configure your initial capital and risk-free rate (default 3%) to get more accurate risk-adjusted performance metrics like Sharpe Ratio.
Get Instant Professional Analysis Report
Get your full TradingView backtest report with 16+ KPI metrics, 8 analysis tabs — Rolling Window Analysis, Returns Distribution, Monte Carlo simulation with 1000 scenarios, trade efficiency metrics, and one-click professional Excel export. All processing happens in your browser, your data stays private.
I noticed the Sharpe Ratio dropped significantly when I uploaded my own data — way lower than what I expected from just looking at win rate and profit factor. The distribution graph shows fat tails you simply don't see in TradingView's default view.
All data processing happens in your browser. Your TradingView trading data never leaves your device. We don't store or access your strategy test results.
Who Benefits from TradingView Backtest Analysis?
Professional traders, quants, and strategy developers use our institutional-grade analyzer to validate trading edges, optimize execution, and manage risk across different market conditions
For Quantitative Traders
Use Monte Carlo simulation combined with VaR analysis to understand worst-case scenarios. Track your full trade history with a trading journal to validate strategies before scaling capital. Size positions with confidence by knowing the true risk profile of your strategy before going live.
For Strategy Developers
Entry and Exit Efficiency metrics reveal how much profit you leave on the table. MFE/MAE analysis provides data-driven insights to optimize stop-loss and take-profit levels for better trade execution.
For Risk Managers
Rolling Sharpe Ratio tracks strategy degradation over time, providing early warnings before significant losses occur. Kelly Criterion and Ulcer Index help maintain optimal position sizing and risk control.
Backtest Deep Report vs. TradingView Strategy Tester
TradingView's built-in backtest panel gives you basic stats — win rate, profit factor, max drawdown. Our tool fills in the metrics that are missing.
| Feature | TradingView Strategy Tester | Pineify Backtest Deep Report |
|---|---|---|
| Sharpe / Sortino Ratio | Not available (manual calculation) | Auto-calculated from CSV upload |
| Monte Carlo Simulation | Not available | 1,000 bootstrap simulations with confidence intervals |
| Rolling Window Analysis | Not available | 20-trade sliding window (Sharpe, Sortino, Win Rate) |
| MFE / MAE Analysis | Not available | Interactive scatter plot with color-coded trades |
| Returns Distribution with Normal Curve | Not available | Histogram overlay with skewness and kurtosis |
| Visual Heatmaps | Not available | Monthly, Weekly, Daily, Time-of-Day |
| Excel Export Format | Raw CSV only | Professional 8-sheet workbook |
| Data Processing | TradingView servers | 100% client-side in your browser |
In my testing, the Entry/Exit Efficiency metrics caught that I was leaving about 18% of potential profit on the table across 200+ trades — something the basic win rate could never tell me.
Combine with our strategy optimizer to refine entry and exit rules, track your trades with a trading journal for ongoing validation, and pair metrics with chart analysis to confirm patterns before committing capital.
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Frequently Asked Questions
Everything you need to know about Backtest Deep Report
Get Access to Institutional-Grade Backtest Analysis
16+ KPI metrics, Rolling Analysis, Returns Distribution, Monte Carlo Simulation, and Trade Efficiency. Upload a CSV, get the full picture — no guesswork, no signup wall.