Ch. 31Strategy #968

Strategy #968

Congressional Trading Signal

Entry Logic

  • Exact Entry Trigger: A member of Congress, particularly one on a key committee, discloses a significant trade in a specific stock or industry.
  • Confirmation: The trade aligns with recent legislation or government contracts.
  • Timeframe: Daily chart.
  • Location Context: Any, the edge is informational, not technical.
  • Market Condition: Any.

Exit Logic

  • Profit Target(s): 20% or until news emerges that explains the trade.
  • Scaling Out: Sell half at 15%, let the rest ride.
  • Trailing Stop: A manual review of the position weekly.
  • Signal Failure: The stock fails to move or drifts lower.
  • Opposite Signal: The same member of Congress discloses a sale of the position.
  • Time Expiration: 3-6 months.
  • Momentum Loss: The informational edge seems to have dissipated.

Stop Loss Structure

  • Hard Stop: 12% below entry.
  • Soft Stop: If the thesis behind the trade appears to be incorrect.
  • Maximum Dollar Loss: $1200 per trade.
  • Maximum Percent Loss: 12% of the trade value.
  • Structural Stop: Below a recent support level.

Risk Management Framework

  • Risk Per Trade: 0.8% of the account.
  • Maximum Daily Loss: Not applicable.
  • Maximum Weekly Loss: Not applicable.
  • Maximum Drawdown: 16% of the account.
  • R:R Requirement: Minimum 1.5:1.

Position Sizing Model

  • Sizing Approach: Fixed dollar amount.
  • Volatility Adjustment: Standard sizing.
  • Conviction Sizing: Larger size for trades by members on influential committees (e.g., Armed Services, Finance).
  • Scaling In: Not recommended.
  • Scaling Out: As per exit logic.

Trade Filtering

  • Market Conditions to Avoid: Extreme market panic.
  • Specific Setups: Focus on trades in industries directly overseen by the Congress member's committee.
  • Instrument Requirements: Liquid stocks, avoid options unless highly experienced.
  • Time Restrictions: Enter as soon as the disclosure is made public.
  • Chop/News Avoidance: The trade itself is the news.

Context Framework

  • Trend Direction: Not the primary factor.
  • VWAP Relationship: Not the primary factor.
  • MA Relationship: Not the primary factor.
  • Range Location: Not the primary factor.
  • Higher TF Alignment: Not required.

Trade Management Rules

  • Breakeven: Move stop to breakeven after a 10% gain.
  • Scale Out: At predefined targets.
  • Add Size: Not recommended.
  • Fast vs Slow Moves: This is a slow-burn strategy.

Time Rules

  • Optimal Window: Immediately following the public disclosure.
  • Times to Avoid: After the stock has already made a very large move.
  • Session Notes: Not session-dependent.

Setup Classification

  • A+ Criteria: A senior committee member makes a large trade in a non-obvious company within their committee's jurisdiction.
  • A Criteria: A significant trade that aligns with recent news or legislation.
  • B Criteria: A smaller trade or a trade in a broad ETF.
  • C Criteria: Trades by members not on relevant committees.

Market Selection Criteria

  • Instruments: Common stocks, occasionally ETFs.
  • Volume/Liquidity: Must be liquid enough to enter and exit without significant slippage.
  • Volatility: Any.

Statistical Edge Metrics

  • Expected Win Rate: 60-70%.
  • Average Win Size: 20-30%.
  • Average Loss Size: 10-12%.
  • Profit Factor: 2.0+.
  • Expectancy: Positive.

Failure Conditions

  • Market Conditions: A market crash can impact all stocks.
  • Specific Scenarios: The politician's trade was not based on non-public information, or the information was wrong.

Psychological Rules

  • Mental Discipline: This strategy requires a degree of cynicism and the ability to act on imperfect information.

Advanced Components

  • Market Regime Detection: Not critical.
  • Filters: Use services that track and analyze congressional trades.
  • Correlation: Be aware of industry-wide bets.
  • MTF Alignment: Not applicable.

Location

  • Where Strongest: In industries with heavy government regulation or involvement (defense, healthcare, energy).
  • Where Weakest: In industries with little government interaction (e.g., consumer discretionary).