ChatGPT Trading Bot Creation

Learn to use ChatGPT to generate and refine Pine Script for trading bots. This tutorial covers combining MACD and Support/Resistance for entry logic, with examp

Published · Updated · Methodology: Mixed

Part of: Support & Resistance

  • Methodology: Mixed
  • Content type: educational
  • Timeframes: Not specified
  • Markets: Not specified

Indicators used

  • MACD
  • Support and Resistance

Source video

Decoded from: Make Your Own ChatGPT TRADING BOT by Trade Tactics — watch the original

Key timestamps:

  • 0:18 - Disclaimer about trading risks
  • 0:30 - ChatGPT Pine Script compilation errors
  • 0:45 - Workaround: using public database to train ChatGPT
  • 1:00 - Example: MACD strategy from TradingView
  • 1:30 - Copying source code to ChatGPT
  • 1:45 - ChatGPT explains the strategy logic
  • 2:00 - Combining MACD with Support and Resistance
  • 2:40 - Updating Pine Script V4 to V5
  • 3:10 - Asking ChatGPT to combine strategies
  • 3:30 - Example rule: price breaks resistance + MACD increasing
  • 3:50 - ChatGPT generates combined strategy
  • 4:00 - Adding strategy to chart and testing
  • 4:20 - Adjusting strategy settings
  • 4:40 - Disclaimer: not a robust strategy, do not trade with real money

Strategy overview

Support and resistance marks the price levels where past buying and selling repeatedly turned the market — and that one sentence is nearly all the method content this entry contains, because its subject is not a setup but a production process: getting ChatGPT to write a TradingView trading bot. The title "Make Your Own ChatGPT TRADING BOT", from the channel Trade Tactics, promises authorship. The chapter map is where that promise gets tested.

The timestamps read as a troubleshooting log rather than a lesson. After a risk disclaimer at 0:18, the second beat (0:30) is Pine Script compilation errors — the failure mode named before any success — and the third (0:45) is the workaround: pointing ChatGPT at a public database of existing scripts instead of asking it to invent code. From there the direction of travel reverses. An existing MACD strategy is pulled from TradingView (1:00), its source is copied into ChatGPT (1:30), and the model explains the logic back to the viewer (1:45). The sequence ends at comprehension, not at a trade.

That reversal explains the shape of the record. The two ingredients listed — MACD and support and resistance — arrive as the borrowed sample's components rather than as a method the video designs for itself, and their settings are left at whatever the source script carried. No timeframe, session or instrument appears, and the map stops at 1:45 without an entry, exit or risk beat, so no trading rules were extracted here. What the video documents is a route for reading and adapting someone else's code with an AI assistant — with the compile errors at 0:30 as part of the route, not an aside.

Topics

chatgpt trading · pine script strategy · tradingview strategy · trading bot · macd strategy · support and resistance strategy · ai trading · algorithmic trading · trading strategy · pine script development · automated trading

Frequently asked questions

Can ChatGPT write a TradingView trading bot?

Not straightforwardly, according to this video: its second chapter is about Pine Script compilation errors, and the fix it presents is to point ChatGPT at a public database of existing scripts rather than have it author code from scratch.

Why does this entry list MACD and support and resistance?

Those belong to the example strategy the video pulls from TradingView's public scripts to feed into ChatGPT. They are the borrowed sample's ingredients, not a setup the video designs on its own.

Does the video define entry and exit rules?

No. The chapter map covers roughly the first two minutes and ends with ChatGPT explaining the borrowed strategy's logic. No entry, exit, timeframe or risk parameters are defined, and no trading rules were extracted for this entry.

What should I do with an AI-generated trading script?

Treat it as a draft rather than a finished system: read the code to confirm it does what you think it does, then backtest it on historical data before risking capital. Strategy Decoder catalogs strategies decoded from video sources so you can compare and test them on TradingView.

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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