TradingView Strategy Building and Automation

Learn to build, test, and automate trading strategies on TradingView. This tutorial covers setup, risk management, and automation techniques for any market and

Published · Updated · Methodology: Mixed

Part of: Algorithmic & Automated Trading

  • Methodology: Mixed
  • Content type: educational

Source video

Decoded from: Build a New TradingView Strategy and Automate it with Michael LIVE (+Q&A) by Michael Automates — watch the original

Key timestamps:

  • 0:00 - Intro
  • 4:30 - Build a new strategy
  • 17:34 - Check for Repainting
  • 23:06 - Check for Overfitting
  • 33:24 - Risk Management
  • 41:38 - Improve the Strategy
  • 50:32 - Summary for Building a Strategy
  • 51:36 - Automate the Strategy
  • 1:36:26 - Adding Shorting Logic to the Strategy

Strategy overview

Strategy building and automation on TradingView is a workflow rather than a setup: write the logic, confirm it means what you think it means, then hand execution to something that doesn't blink. This entry decodes a live session on that whole workflow, and its own timeline is the argument — the timestamps run Build (4:30) → Repainting (17:34) → Overfitting (23:06) → Risk Management (33:24) → Improve (41:38), which puts roughly half an hour of validation between writing a strategy and improving it. Notably, "Improve the Strategy" comes last, after the two checks that decide whether there is anything worth improving.

That ordering is the substantive claim. Repainting and overfitting are the two failure modes that make a backtest lie in opposite directions: repainting is a mechanical defect where a signal uses information the bar had not yet produced, so the equity curve is not reproducible in real time at all; overfitting is a statistical defect where every rule is real but was chosen by the same data it is measured on. The first can be caught by inspection — does this condition reference a value that only exists once the bar closes? The second cannot, because the fitted strategy looks better, not more suspicious. A session that stops for both before touching risk sizing is treating a promising curve as a hypothesis rather than a finding, and the live format means the checks happen on a strategy the audience watched get built, not on a polished one chosen for the demonstration.

The entry carries no timeframe, indicator, or methodology commitment — it is filed as Mixed with those fields empty, which is the correct signature for a session about how to build strategies rather than one specific strategy. No rules were extracted from this video, so there is no rule list on this page; what the source offers is the sequence and the two audits, applied to whatever logic you bring to the chart yourself.

Topics

tradingview strategy · pine script strategy · strategy automation · trading strategy tutorial · build trading strategy · automated trading · risk management strategy · tradingview tutorial · strategy backtesting · trading development

Frequently asked questions

What is repainting in a TradingView strategy?

Repainting is when a signal changes or disappears after the fact because the logic used information that was not yet available on the bar where the signal appeared — for example, referencing a value only known once the bar closed. A repainting strategy can show an excellent backtest that is impossible to reproduce in live execution, which is why checking for it comes before any performance judgement.

Why check for overfitting before improving a strategy?

Because "improving" a strategy usually means adjusting it against the same historical data used to measure it, and every adjustment made that way can raise the backtest without raising real expectancy. The order in this session — repainting and overfitting first, improvement last — treats a good curve as something to be tested rather than something to be optimized further.

Does this session cover a specific indicator or timeframe?

No. The entry is filed as Mixed with no indicator or timeframe attached because the video is about the build-and-validate-and-automate workflow itself, not one particular setup. The steps apply to whatever strategy logic you are working on.

What does automating a TradingView strategy actually involve?

It means turning discretionary logic into conditions explicit enough that a script can evaluate them without judgement, then routing the resulting signals to execution. The practical consequence is that ambiguity you could resolve by eye while chart-watching has to be resolved in the rules first — which is part of why the validation steps matter more once a strategy runs unattended.

About this strategy page

This trading strategy was decoded by Strategy Decoder's AI from a public YouTube trading video and turned into a structured, reviewable specification. In the interactive app this page shows the full entry and exit logic, risk management settings, the indicators involved with their parameters, AlgoWizard-compatible logic and a Pine Script export ready for TradingView backtesting — plus an automated backtest verdict when one has been computed for this strategy.

Strategy Decoder catalogs 2,229 decoded strategies. Each one is extracted with confidence scoring, cross-linked to the indicators it uses, and kept up to date as new videos are processed daily. Load this page with JavaScript enabled to use the interactive tools, or start from the strategy explorer to filter by methodology, market and timeframe.

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