📌 How ChatGPT analyzes trading strategies of other traders
I demonstrate with a real example how AI assesses the market without emotions and illusions.
Today I received a trading plan from another trader.
A great opportunity to show how ChatGPT conducts a professional analysis of strategies and calculates probabilities.
This is NOT a trading recommendation.
This is a demonstration of the approach — how AI works when integrated into a trading system.
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🟦 Trader's original strategy
Direction: LONG
Entry: 0.369–0.380
Targets:
0.386 → 0.393 → 0.400 → 0.420 → 0.450 → 0.500 → 0.550
Stop: 0.361
Leverage: 2–5×
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🟪 What the ChatGPT analysis showed (objectively)
I do not disclose the tools I use in working with AI.
Here are only conclusions and probabilities.
1️⃣ Market structure — weak for aggressive longs
Price remains under pressure. The market shows no signs of a sustainable reversal.
2️⃣ Strength indices of the asset indicate weakness, not reversal
From lower to higher timeframes — not enough strength for a confident upward movement.
3️⃣ The asset's momentum does not confirm the growth idea
There are slight bounces, but the medium-term and weekly momentum remain downward.
4️⃣ Liquidity is located below the current entry range
The market seeks to test levels below before forming a bounce.
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📊 Final assessment of the ChatGPT strategy
Profitability: 58%
(only the first targets are achievable)
Effectiveness: 38%
(entry against the structure, stop-out zones are close)
Probability of partial fulfillment: 47%
(the market may reach up to 0.393)
Probability of non-fulfillment: 53%
(high chance of movement down before a reversal)
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🟩 What ChatGPT suggested as a more logical scenario
This is not a signal, but an example of how AI optimizes a trading idea.
🔹 Entry zones (more realistic according to market logic):
• 0.372 — first reaction
• 0.364 — main entry
• 0.358 — add-on during extended correction
🔹 Stop-loss (logical according to structure):
0.349
Below this zone, levels begin where the structure completely breaks down.
🔹 Targets (realistic in the current market):
0.382 → 0.392 → 0.398–0.400 → 0.415 → 0.428
🔹 Recommended leverage:
up to 3x
(more — unjustified risk in the current structure)
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🟧 Main conclusion
Many strategies look good until tested by market logic.
ChatGPT helps to see:
• hidden risks,
• real liquidity zones,
• probabilities, not hopes,
• inconsistencies in the idea,
• optimal entry options.
This is what I teach:
not to guess the movement, but to build a decision-making model.
If you want to learn how to use ChatGPT as a full-fledged analytical assistant → @INVESTIDEAUA #CRV ✨#ОбучениеТрейдингу #cryptotrading #CryptoStrategy
