# TradingTune

> Free Chrome and Brave extension that automates parameter optimization and
> backtesting for TradingView trading strategies. It drives TradingView's own
> UI locally: no API keys, and your strategies and results never leave your
> browser. A free account and sign-in are required to run optimizations, which
> tracks your 10 free optimization cycles per day.

## What it does
- Sweeps strategy inputs (numeric min/max/step ranges) automatically across many combinations.
- Seven search methods: TPE (Bayesian, recommended and default), Bisection (Smart Search), Bisection then TPE Refine, Simulated Annealing, Brute Force, Sequential Improvements, Random.
- Live, sortable results: net profit, win rate, Sharpe ratio, max drawdown, trade count.
- Filter, sort, configure columns, export and import runs as ZIP and CSV, apply best settings, and backtest across multiple assets.
- Runs locally in the browser; your strategies, parameters, and results are never uploaded. Only your daily optimization-cycle count and account ID sync to your account.

## Pricing
- Free: up to 10 optimization cycles per day. Requires a free account and sign-in.
- Pro: $29 per month, $299 per year, or $599 lifetime (unlimited cycles per day).

## Key pages
- Home: https://tradingtune.com/
- Optimization methods (overview): https://tradingtune.com/methods
  - TPE (Bayesian): https://tradingtune.com/methods/tpe-bayesian
  - Bisection (Smart Search): https://tradingtune.com/methods/bisection
  - Bisection then TPE Refine: https://tradingtune.com/methods/bisection-tpe-refine
  - Simulated Annealing: https://tradingtune.com/methods/simulated-annealing
  - Brute Force: https://tradingtune.com/methods/brute-force
  - Sequential Improvements: https://tradingtune.com/methods/sequential-improvements
  - Random: https://tradingtune.com/methods/random
- Strategy backtesting and robustness examples: https://tradingtune.com/backtests
  - NVDA: https://tradingtune.com/backtests/nvda
  - TSLA: https://tradingtune.com/backtests/tsla
  - AAPL: https://tradingtune.com/backtests/aapl
  - BTC: https://tradingtune.com/backtests/btc
- Guides (overview): https://tradingtune.com/guides
  - Getting started: https://tradingtune.com/guides/getting-started
  - Choosing parameter ranges: https://tradingtune.com/guides/choosing-parameter-ranges
  - Choosing an optimization method: https://tradingtune.com/guides/choosing-an-optimization-method
  - Reading backtest metrics: https://tradingtune.com/guides/reading-backtest-metrics
  - Avoid overfitting: https://tradingtune.com/guides/avoid-overfitting
  - Common backtesting mistakes: https://tradingtune.com/guides/common-backtesting-mistakes
  - Choosing a backtest date range: https://tradingtune.com/guides/choosing-a-backtest-date-range
  - How many trades is enough: https://tradingtune.com/guides/minimum-trade-count
  - Modeling slippage and commission: https://tradingtune.com/guides/modeling-slippage-and-commission
  - Timeframe-specific optimization: https://tradingtune.com/guides/timeframe-specific-optimization
  - In-sample vs out-of-sample: https://tradingtune.com/guides/in-sample-vs-out-of-sample
  - Multi-asset retesting: https://tradingtune.com/guides/multi-asset-retesting
  - Parameter sensitivity analysis: https://tradingtune.com/guides/parameter-sensitivity-analysis
  - Walk-forward analysis: https://tradingtune.com/guides/walk-forward-analysis
  - Monte Carlo robustness: https://tradingtune.com/guides/monte-carlo-robustness
  - The TradingTune learning path: https://tradingtune.com/guides/glossary-learning-path
- Glossary of optimization terms: https://tradingtune.com/glossary
- About: https://tradingtune.com/about
- Contact: https://tradingtune.com/contact
- How to choose an optimizer: https://tradingtune.com/alternatives
- Privacy: https://tradingtune.com/privacy
- Terms: https://tradingtune.com/terms

## Configuration and data format
- Set parameter ranges as JSON (min, max, step, enabled): https://tradingtune.com/methods#param-ranges
- Choose the optimization target metric and filters: https://tradingtune.com/methods#optimization-target
- What a completed run exports (results.csv columns): https://tradingtune.com/methods#run-export
- Metric formulas (win rate, profit factor, Sharpe, drawdown, expectancy): https://tradingtune.com/glossary#metrics
- Section indexes: /methods/llms.txt, /guides/llms.txt, /glossary/llms.txt, /backtests/llms.txt, /alternatives/llms.txt

## FAQ
- Is it free? Yes, free up to 10 optimization cycles per day; Pro unlocks unlimited cycles per day.
- Does it need TradingView API access or a login? No TradingView API keys are needed. A free TradingTune account and sign-in are required to run optimizations, which tracks your daily free cycles.
- Where does my data go? Your strategies, parameters, and results stay local in your browser. Only your daily optimization-cycle count and account ID sync to your account.
- Which browsers are supported? Chrome and Brave (Chromium).
- Is it affiliated with TradingView? No. TradingTune is an independent tool, not affiliated with TradingView, Inc.