pre-trade-compliance
Pre-Trade Compliance
Purpose
Guide the design and implementation of automated pre-trade compliance systems that validate orders against regulatory rules, firm policies, and client-specific restrictions before execution. Covers compliance rule engines, restricted and watch lists, concentration limits, position limits, hard and soft block configurations, regulatory constraints, and compliance override workflows. Enables building systems that prevent compliance violations while minimizing false blocks that impede legitimate trading.
Layer
11 — Trading Operations (Order Lifecycle & Execution)
Direction
prospective
When to Use
- Designing a pre-trade compliance rule engine for an RIA, broker-dealer, or multi-custodian advisory firm
- Configuring hard blocks and soft blocks for different categories of compliance violations
- Building or maintaining restricted and watch lists, including MNPI-driven restrictions and personal trading lists
- Setting concentration limits at the security, sector, asset class, or issuer level across accounts or households
- Implementing position limits, notional exposure caps, or short selling controls
- Enforcing regulatory rules such as wash sale detection, free-riding prevention, or pattern day trader identification
- Applying client-specific investment restrictions including ESG screens, legal constraints, and frozen account handling
More from joellewis/finance_skills
commodities
Analyze commodity markets including futures curve dynamics, roll yield, and supply/demand fundamentals. Use when the user asks about commodity investing, commodity ETFs, contango, backwardation, roll yield, commodity indices (GSCI, BCOM), or commodities as an inflation hedge. Also trigger when users mention 'oil prices', 'gold as a safe haven', 'agricultural futures', 'convenience yield', 'storage costs', 'natural gas', 'copper demand', or ask why commodity ETF returns differ from spot price changes.
179statistics-fundamentals
Apply statistical methods to financial data including descriptive statistics, covariance estimation, regression, hypothesis testing, and resampling. Use when the user asks about return distributions, correlation between assets, building a covariance matrix, running a CAPM regression, testing whether alpha is significant, checking if returns are normal, or estimating confidence intervals. Also trigger when users mention 'volatility', 'how correlated are these', 'fat tails', 'skewness', 'R-squared', 'beta of a fund', 'bootstrap a Sharpe ratio', 'shrinkage estimator', 'Ledoit-Wolf', or ask why their optimizer produces unstable weights.
174quantitative-valuation
Estimate intrinsic value of stocks and companies using DCF, dividend discount models, comparable multiples, and residual income. Use when the user asks about discounted cash flow, DCF models, WACC, terminal value, dividend discount models, comparable multiples, or sum-of-the-parts valuation. Also trigger when users mention 'what is this stock worth', 'fair value estimate', 'Gordon growth model', 'free cash flow valuation', 'cost of equity', 'sensitivity analysis', 'exit multiple', or ask whether a stock is overvalued or undervalued.
156asset-allocation
Determine how to distribute capital across asset classes using strategic and tactical allocation frameworks. Use when the user asks about portfolio allocation, mean-variance optimization, Black-Litterman, risk parity, glide paths, or target-date strategies. Also trigger when users mention 'how much in stocks vs bonds', '60/40 portfolio', 'policy portfolio', 'core-satellite', 'liability-driven investing', 'asset-liability matching', or ask how to split their money across investments.
150trade-execution
Guide the design, evaluation, and monitoring of trade execution quality and best execution practices. Use when assessing best execution obligations under FINRA Rule 5310 or RIA fiduciary duty, designing smart order routing across exchanges and dark pools, selecting execution algorithms (VWAP, TWAP, implementation shortfall, POV), building transaction cost analysis (TCA) for pre-trade estimation or post-trade measurement, analyzing bid-ask spread decomposition or market impact or information leakage, conducting best execution committee reviews, evaluating payment for order flow (PFOF) arrangements, interpreting Rule 605/606 reports, or handling fixed income or ETF execution via RFQ protocols. Also covers Reg NMS Order Protection Rule and venue fee structures.
146finance-psychology
Recognize and mitigate cognitive biases that impair financial decisions, and coach clients toward values-driven financial lives. Use when the user asks about behavioral finance, money psychology, loss aversion, overconfidence, herd behavior, or emotional investing. Also trigger when users mention 'why do I panic sell', 'money fights with my spouse', 'I can never save enough', 'fear of investing', 'lifestyle creep', 'keeping up with the Joneses', 'Rich Life', 'money scripts', or ask how emotions affect financial decisions.
145