Before you begin, remember that you have an index with the newsletter content organized by clicking on the image below.
In this episode of House of Quants, listeners will discover:
Why quantitative trading is engineering: The episode challenges the myth of the lone trader searching for magical chart patterns and explains how institutional research operates as an industrial-scale system built around data, statistics, software, execution, and risk.
How ideas become executable trading systems: Every strategy passes through three stages: translating an economic or behavioral theory into a statistical model and then converting that model into reliable computer code.
Why researchers should start with problems rather than signals: A technical indicator is only a symptom. Robust strategies begin by identifying the behavioral, structural, or market-microstructure mechanism that causes a price pattern and determining why that mechanism should persist.
The three main sources of market inefficiency: Listeners will examine behavioral biases such as post-earnings drift, technological disadvantages caused by fragmented market data, and structural opportunities created by forced institutional activity such as index rebalancing.
How to define success before running a backtest: The discussion explains how researchers avoid the Texas sharpshooter fallacy by establishing objective functions, portfolio constraints, diversification value, falsifiable evidence requirements, and the market regimes in which a strategy should operate.
Why historical results must be tested against luck: Methods such as the stationary bootstrap generate alternative return histories to determine whether performance is robust or dependent on one favorable sequence of market events.
How a quantitative pipeline is built: Using post-earnings drift as an example, the episode follows the complete process from point-in-time data ingestion and timestamp control to document extraction, surprise measurement, volume confirmation, signal generation, and execution logic.
