[Investment Talk] Part 6: The Fear Felt When You 'Win Too Much' in Backtesting

Once you have set up a data analysis environment using Python and are able to perform backtesting (historical verification) ...

[Behind the Scenes of EA Development] Testing 20,000 Variations, Only One Remained. 20 Days of AI Automated Trading Aiming to Pass Fintokei

Development Journal October 12, 2026"If I get AI to build an EA, wouldn't it be easy to win?"Have you ever had such ...

Guy Gentile Introduces AI Trading Edge, a 25-Chapter Guide to Building Machine-Learning Systems for Real Markets

Companion Python code connects market-data research, feature engineering, model validation and execution in a practical quantitative workflow.Dubai, United Arab Emirates--(Newsfile Corp. - October 9, ...
GitHub

Football Predictor

Free-data-only prediction system for NFL and NCAAF. Produces a win probability, a predicted spread, and a value-vs-market flag per game. Built against football-predictor-architecture.md. All eight ...

12% CAGR Since 1995: Using Four Market States To Refine The Volatility-Adjusted Dual Clock System

A refinement of the SPY/BIL tactical allocation system by layering four market state factors atop the VA Dual Clock regime ...
HackerNoon

Evaluating SKU-Level Forecasts With WMAPE, Total Bias, and Active Seller Bias

WMAPE says the model is fine; the shelves say otherwise. These 3 metrics show where forecast volume actually goes.
MyBank.pl

Zaskoczenie makroekonomiczne Economic surprise

Różnica między opublikowanym odczytem a wcześniej ustalonym punktem odniesienia, zwykle konsensusem prognoz. Trzeba porównywać tę samą serię, okres, jednostkę i wersję danych. Dodatnia różnica nie ozn ...