Archived — below our codifiability bar

AI Strategy Improvement with ChatGPT

Learn how to improve your TradingView strategies using AI like ChatGPT by integrating additional indicators to boost profit factor and win rate.

Published · Archived · Methodology: Mixed

  • Algo score: 70%
  • Discretionary score: 45%

This strategy was decoded from a public trading video but did not clear Strategy Decoder's codifiability bar: the extraction could not pin the rules down precisely enough to be turned into a reviewable specification. It is kept here as a reference post-mortem rather than as a strategy you can trade or backtest.

Part of: Algorithmic & Automated Trading

  • Methodology: Mixed
  • Content type: educational

Why this strategy was archived

Using a large language model such as ChatGPT to draft, debug and refine Pine Script is now a common part of the retail systematic workflow: you describe an idea in plain language, the model returns code, and you iterate against TradingView's editor and strategy tester. This entry covers Michael Automates' video "Improve Your Trading Strategy with AI (TradingView, PineScript)", which walks through that assistant-driven approach to working on a strategy.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. The subject here is a *process* — how to put an AI tool to work on strategy code — rather than a specific, tradable rule set. There is no objective definition of what qualifies as a setup, no confirmation trigger, and no stop or target logic to extract; the content is descriptive of a workflow rather than prescriptive about a method. Without those pieces, nothing can be coded or backtested faithfully, and an entry we cannot reproduce does not belong in the active catalog.

**What it still offers.** Read as tooling material, the video is useful: it shows how to hand an idea to an AI assistant, what kind of prompt produces usable Pine Script, and how to move between code and the strategy tester without writing everything by hand. That skill is worth more when you point it at something concrete — the active catalog lists decoded entries with fully extracted entry, exit and risk rules, which are exactly the specifications an AI assistant needs as input to produce code worth testing.

Source video

Decoded from: Improve Your Trading Strategy with AI (TradingView, PineScript ) by Michael Automates — watch the original

Key timestamps:

  • 0:00 - Introduction to AI strategy improvement
  • 0:08 - How to use ChatGPT for indicator integration
  • 0:15 - Claimed results: profit factor and win rate improvement

Frequently asked questions

Why is this AI strategy entry archived?

The video covers a workflow — using ChatGPT to write and improve Pine Script on TradingView — rather than a defined trading method. Our extraction found no objective entry criteria, confirmation trigger or exit logic, and scored it below the codifiability bar required for the active catalog.

Is the video still worth watching?

Yes, as tooling material. It demonstrates how to use an AI assistant to draft and refine Pine Script and iterate inside TradingView, which is a practical skill for anyone building their own indicators or strategies.

Can AI turn a video like this into a codifiable strategy?

Only if the underlying rules are specified first. An AI assistant translates an explicit rule set into code; it cannot supply the qualifying conditions, confirmation and stop/target logic that were never defined.

Where can I find codifiable strategies to code in Pine Script?

The active catalog lists decoded video strategies with complete entry, exit and risk rules — the kind of specification you can hand to a coding assistant or implement directly.

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