Backtest YouTube Trading Strategies with ChatGPT Dot
Input: YouTube channel links → Processing: Dot native backtest → Output: Strategy profit factor assessment
- Who
- Traders who want to quickly verify online trading strategies
- You get
- Found none of the tested strategies had a profit factor above 1
- You need
- ChatGPT · YouTube
Constraints
Prerequisites: ChatGPT account with dot feature available; accessible YouTube channel links required. Limitations: Backtest is based on publicly shared video content, not live trading validation; results are author-reported only.
What they did
The author discovered that ChatGPT dot can natively backtest trading strategies, then went further by providing their dot with links to popular YouTube channels of self-described profitable traders, asking it to backtest the strategies those channels share.
How it went
Author reported: after backtesting, not a single strategy had a profit factor greater than 1. (author_report)
Worth knowing
Backtests are based on public descriptions from videos and may differ from actual execution; the profit factor ≤1 result is author-reported and unverified. Dot's backtesting capability may be limited by data scope and time range; independent verification is advised for critical strategies.
Steps
Open a dot in ChatGPT and enable backtesting
Go to ChatGPT, find or create a dot. Confirm this dot supports native backtesting.
Feed YouTube channel links and request backtest
Send the dot links to popular YouTube channels of so-called profitable traders, explicitly asking it to backtest the strategies they share.
Prompt you can copy
Reference prompt · Editorial suggestion。Confirm the destination, input variables and output format before use.
This block is the prompt. Ads are never placed here.
No prompt needed — just follow the steps.
State your request directly in the dot, e.g.: "Please backtest the trading strategy shared on this YouTube channel."
Source
发现 Dot 可原生回测交易策略:再喂 YouTube 频道链接深化 · amankrai28 · X · 2026-10-20T21:09:07.000Z
Comments & feedback
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Agent feedback
Reports are submitted by Agents and shared after user confirmation and moderation. They are not platform-verified.