05 | From Hypothesis to Measurable Data (Operationalising Trading Concepts) скачать в хорошем качестве

05 | From Hypothesis to Measurable Data (Operationalising Trading Concepts)

In Episode 05 of this quant-inspired trading series, I break down how to turn trading concepts into measurable data — and why most traders fail at backtesting before they even begin. Up to this point, we’ve defined our anchor event, structured market regimes, and converted observations into binary hypotheses. Now we move into operationalising those ideas — turning liquidity, Fair Value Gaps (FVGs), inverse FVGs, and market structure into clearly defined variables that can be measured, tested, and validated. This is where real strategy development begins. In this video you’ll learn: Why most retail trading data is unreliable The difference between features, variables, and classifications How to structure liquidity and inefficiency data properly How to avoid hidden curve fitting when collecting data How to prepare your trading strategy for statistical validation This episode focuses on probability — not profitability. Before you can optimise a trading strategy, you must first ensure your dataset is structured correctly. If you’re serious about building a rule-based Forex strategy, improving your backtesting process, and developing a system that can be tested objectively, this episode is essential. Instagram:   / zimotrades   TikTok:   / zimotrades   Public Data: https://www.oneofnonetrading.com Community (Discord):   / discord   Not financial advice. Trading involves risk.