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This builder scores each trade setup for four hundredths of a cent, 76 times cheaper than a frontier model, but one independent trial of the system still closed in the red. Follow for more trading-bot breakdowns.
@mojunel (Mojunel.eth) posted an animated explainer on October 26, 2026 about a six-layer trading-bot pipeline built around smartmoneyconcepts, an open-source, MIT-licensed Python indicator. It marks order blocks, fair value gaps, break of structure, and liquidity sweeps. The poster reports about 2.1k GitHub stars and says it runs on pandas and numba.
The poster describes the layers as follows. Install the indicator, which computes zones and structure but executes no trades. Connect Opus 5.5 to read live price data, using the 4-hour chart for direction and the 15-minute chart for entries. Mark order blocks, fair value gaps, break of structure, and trap levels. Score each setup with Jev, which he rates at $0.0004 per case versus $0.0304 for a frontier model, a 76x gap. Backtest on Sharpe, max drawdown, and win rate, with failures staying on paper. Fire only scored and tested setups, with a Telegram alert to the phone.
He adds that the indicator doesn’t execute trades, and that everything past the markup is the builder’s own pipeline. He also notes that one independent Jev trial ran 15 trades over 17 days and closed at net −4.5R, and that the gate before going live is where the system lives or dies.
Caveats: every figure here (76x, the costs, the GitHub stars, the trial result) is the poster’s own claim. I couldn’t independently verify any of it. This is not a recommendation, and it is not financial advice. Trading involves substantial risk of loss. The visuals are the poster’s animation. Narration is AI-generated.
Credit: original video and thread by @mojunel on X.
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