RE: Previous results18 Jan 2026 18:08
Here’s what ChatGPT has to say about the value of posts on LSE.
The LSE boards are:
* **Anonymous, self-selected retail investors**
* With **no accountability**, uneven competence, and unknown incentives
* Mostly discussing **small caps / AIM**, where emotions run high and liquidity is thin
This immediately limits their usefulness for *prediction*.
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## Why they are poor predictors of future price
### 1. Prices move on **information and flows**, not opinions
Stock prices move because of:
* New information (earnings, guidance, contracts, regulation)
* Capital flows (institutions buying/selling)
* Changes in risk perception or liquidity
Message-board opinions usually:
* React **after** price moves
* Recycle public information
* Add little genuinely new insight
By the time something is “obvious” on LSE boards, it is **already priced in**.
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### 2. Strong **selection and confirmation bias**
Posters tend to:
* Post **more when they are already invested**
* Seek validation, not truth
* Disappear when wrong
So what you see is not a balanced distribution of views — it’s a **skewed echo chamber**.
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### 3. Incentives are misaligned
Some posters:
* Genuinely misunderstand financial statements
* Overweight narratives (“big things coming”)
* Are emotionally attached to the stock
* In rare cases, attempt subtle ramping or deramping
None of these incentives improve forecasting accuracy.
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### 4. Empirical reality: sentiment ≠ returns
Academic and practitioner evidence shows:
* Retail message-board sentiment has **weak or inverse correlation** with future returns
* Extreme optimism often precedes **underperformance**
* Extreme pessimism sometimes coincides with **capitulation**, but timing is unreliable
If anything, the boards are more useful as a **contrarian indicator** than a forecasting tool.
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## When (and only when) they *might* have some value
### 1. **Early detection of *topics*, not outcomes**
They can surface:
* Rumours worth independently verifying
* Operational issues (supplier problems, customer complaints)
* Regulatory or legal chatter
Key point: **You must verify independently**.
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### 2. **Sentiment and positioning**
Boards can help answer:
* “Is this stock overcrowded with retail optimism?”
* “Are holders fragile or long-term?”
This helps with **risk management**, not price prediction.
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### 3. Microcaps with no coverage (rare edge case)
For very small, illiquid companies:
* Occasionally a knowledgeable insider or industry specialist posts something useful
* But separating signal from noise requires expertise and scepticism
This is the exception, not the rule.
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## A useful mental model
Think of LSE opinions as:
* **Weather vanes**, not forecasts
* **Psychology indicators**, not valuation tools
* **Inputs**, never conclusions
If you let them influe
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