Alpha Factors & ML for Trading Quiz

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Alpha ML trading basics

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Jay Goetz

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Alpha Factors & ML for Trading Quiz


Froggy Jumps Alpha Factors & ML for Trading QuizVersion en ligne Alpha ML trading basics par Jay Goetz 1 What is the main goal of alpha factors in the Research Phase? a Predict market direction only b Identify the best performing asset class c Predict risk-adjusted excess return vs benchmark 2 Which bias must be mitigated during Data Validation & Bias Mitigation? a Look-ahead bias b Survivorship bias c Sampling bias 3 Which data is emphasized in Predictive Factors for signals? a Market data, fundamentals, alternative data b News headlines only c Only price history 4 What technique helps prevent overfitting in Strategy Backtesting? a Backfill validation b Single-sample testing c Walk-forward testing 5 What does the Backtesting Engine simulate? a Market-making only b Trade signal, orders, and execution with costs c Only order placement 6 Which wave of algorithmic strategies emphasizes ML and alternative data? a 2nd Wave (2000s-2010s) b 1st Wave (1980s-1990s) c 3rd Wave (2015-Present) 7 What method helps explain model outputs in ML applications? a P-value testing b SHAP or LIME analyses c Variance decomposition 8 What is the focus of Risk Management in alpha research? a Maximize trading frequency b Prevent false discoveries and p-hacking c Increase leverage aggressively 9 Which technique is used for data augmentation in testing? a GANs for synthetic market data b Bootstrap resampling only c Monte Carlo only 10 Which objective shapes execution to minimize market impact? a Buy-and-hold b VWAP or TWAP strategies c Momentum chasing

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Alpha Factors & ML for Trading Quiz

Froggy Jumps

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Créé par

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Alpha Factors & ML for Trading QuizVersion en ligne

par Jay Goetz

What is the main goal of alpha factors in the Research Phase?

Which bias must be mitigated during Data Validation & Bias Mitigation?

Which data is emphasized in Predictive Factors for signals?

What technique helps prevent overfitting in Strategy Backtesting?

What does the Backtesting Engine simulate?

Which wave of algorithmic strategies emphasizes ML and alternative data?

What method helps explain model outputs in ML applications?

What is the focus of Risk Management in alpha research?

Which technique is used for data augmentation in testing?

Which objective shapes execution to minimize market impact?