Learn the craft
TradingTune guides.
Practical, honest guides to TradingView strategy optimization, ordered as one curriculum. Start with setup and your first run, learn to read the metrics, then master the robustness habits that separate a real edge from a lucky backtest. New to it all? Begin with the learning path.
Every guide, in reading order
- Beginner
Getting started with TradingTune
Install TradingTune, create a free account, set parameter ranges, run an optimization method, read the live results, and retest the best result across assets.
Read the guide - Beginner
Choosing a backtest date range
Pick a TradingView backtest date range that spans several market regimes, avoids cherry-picking, and yields enough trades to trust before you optimize.
Read the guide - Beginner
Choosing parameter ranges
Set smart min, max, and step ranges before optimizing a TradingView strategy. Tame the combinatorial explosion, fit your cycle budget, and work coarse to fine.
Read the guide - Intermediate
Choosing an optimization method
A practical guide to picking the right optimization method for your TradingView strategy, matching brute force, random, TPE and bisection to your cycle budget.
Read the guide - Beginner
Reading backtest metrics
How to read the backtest metrics TradingTune surfaces (net profit, win rate, profit factor, Sharpe, drawdown, trade count) and weigh them together, not one alone.
Read the guide - Intermediate
How many trades is enough?
How many trades a TradingView backtest needs before its metrics mean anything: sample size, statistical noise, and why too few make optimization a coin flip.
Read the guide - Intermediate
Modeling slippage and commission
Set realistic slippage and commission in TradingView's Strategy Tester so optimized results survive real trading costs, with break-even math and sane defaults.
Read the guide - Intermediate
Timeframe-specific optimization
Why optimal TradingView strategy parameters change with the chart timeframe, how costs and trade counts scale, and how to tune per timeframe.
Read the guide - Intermediate
In-sample vs out-of-sample
Split TradingView backtest data into in-sample and out-of-sample periods, choose a split ratio, hold out data, and detect leakage when optimizing.
Read the guide - Intermediate
Multi-asset retesting
Use TradingTune's multi-asset retest to run one optimized TradingView strategy across several symbols at once and tell a real edge from a single-chart fluke.
Read the guide - Advanced
Parameter sensitivity analysis
Find robust TradingView strategy settings with parameter sensitivity: prefer a broad performance plateau over a fragile spike, and read the neighborhood.
Read the guide - Advanced
Walk-forward analysis
Validate a TradingView strategy with walk-forward analysis: roll optimize-then-test windows forward to prove an edge survives out of sample, repeatedly.
Read the guide - Advanced
Monte Carlo robustness
Stress-test a TradingView strategy with Monte Carlo: resample and reshuffle trades to reveal the range of outcomes and drawdowns one equity curve hides.
Read the guide - Intermediate
How to avoid overfitting
Optimized parameters can look perfect in-sample and fail live. How to spot overfitting and build robust TradingView strategies that hold up out of sample.
Read the guide - Intermediate
Common backtesting mistakes
Overfitting, too few trades, ignored costs, and lookahead bias: the most common TradingView strategy backtesting mistakes and how to avoid each one.
Read the guide - Beginner
The TradingTune learning path
A guided path through TradingView strategy optimization: the order to read the TradingTune guides, the terms to learn first, and how the methods connect.
Read the guide