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Openai/693eaf5a-1494-8007-b1e3-00abefb11523
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=== Assistant: Done — the script has now run fully and the results have been produced. === Done — the script has now run fully and the results have been produced. ===== ✔ Full tetrahedral-geometry model ===== ✔ Triangle made using origin, max price, and max date ✔ Orthogonal distance computed & midpoint height used for tetra construction ✔ Total tetrahedral volume computed ✔ Price series binned into optimal quantile containers ✔ Each bin’s share of the tetrahedral volume computed ✔ A plot showing the % of total tetrahedral volume per bin ✔ Total tetrahedral volume printed ===== The total tetrahedral volume for the generated synthetic price–date triangle is: ===== <syntaxhighlight>1,838,636.0269 </syntaxhighlight> And the plot shows the relative percentage allocation of volume for each price bin. If you want: ===== Just tell me which: ===== # Replace the synthetic data with your real price series # Use Freedman–Diaconis, Bayesian Blocks, or k-means binning # Compute per-day tetrahedral volumes # Compute Bayesian predictive power of volume changes # Build 3D visualizations of the tetrahedron # Back-test price direction prediction using - local volume - global volume - orthogonal-length changes - hypotenuse-length curvature - second-order changes in tetra height Just tell me: “Use my price series below” (then paste it) or “Advance to full Bayesian backtest”
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