AI, TradingView, PineScript, ChatGPT o3 Strategy Creation
Learn how to create trading strategies using AI tools like ChatGPT o3, TradingView, and Pine Script. This guide covers the process from concept to implementatio
Published · Updated · Methodology: Mixed
Part of: Algorithmic & Automated Trading
- Methodology: Mixed
- Content type: educational
Source video
Decoded from: All Steps to Creating a GREAT Trading Strategy with AI (TradingView + PineScript + ChatGPT o3) by Michael Automates — watch the original
Strategy overview
Algorithmic trading replaces discretionary judgment with rules a machine can execute, and Pine Script is where that translation happens for TradingView users. This entry, however, does not decode a setup — it catalogs a walkthrough. Michael Automates' video "All Steps to Creating a GREAT Trading Strategy with AI (TradingView + PineScript + ChatGPT o3)" is a procedure for producing strategies, not a strategy itself, which is why no entry conditions, exits, indicators or timeframes are attached to this page. There is nothing gated behind it: the source teaches a workflow, and a workflow has no rule list to extract.
What makes this kind of content unusual as a catalog entry is that one of its dependencies is named and dated. "ChatGPT o3" in the title pins the walkthrough to a specific model generation, and prompts are not portable the way rules are — the same instruction that produced clean code from one model can produce something subtly different from its successor. What survives a model swap is the sequence of questions rather than their wording: state the idea in plain language, get it expressed as code, check the code against the idea, test it, revise. That skeleton outlives any particular assistant; the transcript of prompts does not.
The second thing worth noticing is where the human work moves. When a model writes the Pine Script, you stop being the author and become the reviewer — and reviewing generated code is the harder of the two jobs, because compiling is the cheap check and meaning is the expensive one. A script can build without errors and still reference future data, fill orders at prices the bar never offered, or encode a condition adjacent to the one you described. That verification cannot be delegated to the tool that produced the code, and it is the reason the title's quality claim is settled at the end of the process rather than at the point the code appears on screen.
Topics
ai trading strategy · pine script strategy · tradingview strategy · chatgpt trading · strategy creation · trading strategy development · algorithmic trading · trading tutorials · pine script coding · automated trading · ai tradingview strategy
Frequently asked questions
Can ChatGPT actually write a TradingView strategy in Pine Script?
It can produce Pine Script that compiles and runs, which is the easy part. The harder part is confirming the generated code expresses the logic you described rather than something adjacent to it — that judgment stays with you, and it is the step tutorials tend to compress.
Does it matter that the video uses ChatGPT o3 specifically?
For the steps, no; for the prompts, yes. The sequence — describe the idea, generate the code, verify it, backtest, revise — generalizes across models. The exact phrasings and the quirks they work around are tied to the model generation named in the title, so treat those as dated details rather than instructions.
What should I check in AI-generated Pine Script before trusting a backtest?
Whether the code can see data the bar had not yet produced, whether orders fill at prices that actually traded, and whether every condition matches what you asked for. A clean compile and an attractive equity curve are compatible with all three of those going wrong.
Does this page contain the rules of a specific strategy?
No. The source is a process walkthrough rather than a defined setup, so nothing mechanical was extracted from it. Strategy Decoder catalogs both — decoded rule sets where a video presents one, and workflow references like this where it does not.
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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