Archived — below our codifiability bar

Chat GPT for TrendFollowing

Explore how Chat GPT can assist in developing robust trend-following trading systems and identify market trends for a sharper edge in trading.

Published · Archived · Methodology: Mixed

  • Algo score: 70%
  • Discretionary score: 50%

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.

  • Methodology: Mixed
  • Content type: educational

Why this strategy was archived

Trend following is the oldest systematic edge in the book: take a position in the direction of a sustained move, stay with it while it persists, and cut it when it stops. Ali Casey's video "How to use Chat GPT for TrendFollowing system?" on the StatOasis channel sits at the intersection of that classic approach and a newer question — how a large language model can be put to work as a research assistant when you are designing a trend system.

**Why this entry is archived.** Our extraction scored this video below the codifiability bar. The material is about *how to think about and interrogate* a trend-following idea with an AI assistant, not about a finished mechanical system: there is no objective qualifying criterion for what counts as a trend, no confirmation trigger, and no stop or target logic that could be transcribed into a backtest. Nothing here can be coded faithfully without our filling in the missing pieces ourselves — and inventing rules on a creator's behalf is exactly what we refuse to do. The content is descriptive and exploratory rather than prescriptive, which is a legitimate way to make a video and simply not what our extractor is built to capture.

**What it still offers.** As process material it has real value. Using ChatGPT to pressure-test a trend-following premise — to enumerate variants, question assumptions, or draft code you then verify yourself — is a workflow more systematic traders are adopting, and watching someone frame the conversation is instructive in a way a rule list is not. Treat it as a look at research method, not as a strategy specification. For trend systems where full entry, exit and risk rules were successfully extracted, see the trend-following concept hub and the active catalog.

Source video

Decoded from: How to use Chat GPT for TrendFollowing system? by Ali Casey | StatOasis — watch the original

Frequently asked questions

Why is this ChatGPT trend-following entry archived?

The video walks through using an AI assistant to explore a trend-following system rather than laying out a complete rule set. With no objective trend qualifier, confirmation trigger, or stop and target logic, our extraction scored it below the codifiability bar required for the active catalog.

Is the video still worth watching?

Yes, as process material. It shows how a trader can use ChatGPT to interrogate and develop a trend-following idea, which is a research workflow rather than a strategy you can hand to a backtester.

Can ChatGPT build a trading strategy for you?

It can help you draft, question and structure one, but the output still needs objective rules and independent testing before it means anything. Anything an LLM produces is a hypothesis, not a validated edge.

Where can I find codifiable trend-following strategies on Strategy Decoder?

The trend-following concept hub and the active catalog list decoded video strategies with fully extracted entry, exit and risk rules.

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