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Understand the major approaches to market analysis: fundamental analysis (DCF, P/E, EV/EBITDA, P/B), technical analysis (trends, patterns, RSI, MACD), quantitative factor investing, sentiment and behavioral analysis, and macroeconomic indicators.
A comprehensive glossary of financial market essentials: primary vs secondary markets, equities, fixed income, forex, derivatives, commodities, retail and institutional investors, liquidity, volatility, market efficiency, and global exchanges.
Understand the mechanics of order execution, bid-ask spreads, market making, and how electronic markets actually work.
Market microstructure studies the process by which prices emerge from the interaction of orders, traders, and market mechanisms. This module covers the limit order book (bid-ask spread, depth, order book imbalance), liquidity measurement (Amihud illiquidity, quoted spread, effective spread), VPIN (Volume-synchronized Probability of Informed Trading) as a toxicity metric, market making strategies, and 2025-2026 trends including the debate on payment for order flow, SEC market structure reforms, and the growing share of retail order flow in price discovery.
Key terms and definitions for financial markets, quantitative analysis, and portfolio management — sourced from SEC, BIS, AQR, and MSCI research.
Harry Markowitz's Portfolio Selection establishes the mathematical foundation for diversification, showing that portfolio risk depends on asset correlations, and introduces the efficient frontier concept.
Pairs trading and z-score entry rules: when prices revert, when they trend, and how to avoid falling knives.
Summary Today in STOCK, the top story is "Meta confirms 1000s of Instagram accounts were hacked by abusing its AI chatbot", which gathered 546 points on Hacker News -- nearly 5x higher than
Develop the skills to critically evaluate bodies of evidence: meta-analysis methods, effect sizes, p-value debates, Bayesian reasoning, and how the AcaciaFund SQI applies these principles.
Trending (HackerNews, 2026-06-01) Microsoft Office 2019 and 2021 for Mac view-only conversion (discussion) (998 pts) I put a datacenter GPU in my gaming PC (discussion) (318 pts) ChatGPT for Googl
Production ML pipeline patterns: Feast feature serving for training/inference consistency, MLflow model registry and deployment, and Dagster for ML pipeline orchestration. Feature engineering at scale with dbt and Spark.
Understand the mechanisms criminals use to launder money: trade-based laundering, cryptocurrency mixers and DeFi, shell company structures, real estate purchases, and major case studies (Danske Bank, 1MDB) with detection techniques.
Money launderers continuously adapt their methods to exploit gaps in regulatory frameworks. This module covers the three stages of money laundering (placement, layering, integration), current typologies including trade-based money laundering, professional money laundering networks, real estate and luxury goods, digital asset exploitation, and 2025-2026 trends including the rise of AI-powered laundering, the exploitation of DeFi and stablecoins, and the increasing sophistication of professional money laundering rings estimated to handle $800B+ annually.