Risk profiles

Feature: Risk Profiles (A1 Archetype Integration)

Status: ✅ Implemented Date: 2026-01-30

Overview

The Predicta Bot now includes a “System 1” personality layer. Instead of forcing users to configure complex parameters (Stop Loss %, Max Bet Size, Confidence Threshold), the bot automatically inherits the user’s Preon Archetype.

This archetype is determined during the user’s onboarding quiz (A1 Metric) and stored in their Firestore profile.

The Three Profiles

1. The Guardian (Owl 🦉)

• Philosophy: “Capital Preservation First.”
• Best For: Conservative investors, steady growth.
• Behavior:
  • Strict Gates: Only trades when AI confidence is > 85%.
  • No Hype: Rejects Momentum/Chase strategies.
  • No Shorting: Only buys “Value”.
  • Small Sizing: Cuts position sizes by 50% (0.5x).
  • Risk: Low.

2. The Strategist (Wolf 🐺)

• Philosophy: “Balance in all things.”
• Best For: Standard users, balanced portfolio.
• Behavior:
  • Standard Gates: AI confidence > 65%.
  • Balanced: Takes both Momentum and Value trades.
  • Shorting: Allowed.
  • Standard Sizing: 1.0x Multiplier.
  • Risk: Medium.

3. The Maverick (Shark 🦈)

• Philosophy: “Fortune favors the bold.”
• Best For: Degens, high tolerance for drawdowns.
• Behavior:
  • Loose Gates: AI confidence > 55%.
  • Aggressive: Loves Volatility and Hype.
  • Big Bets: Doubles position sizes (2.0x).
  • Risk: High.

Technical Implementation

Data Flow

1. Cortex Trader (cortex_trader.py):
   • At the start of every cycle, fetches users/{user_id} from Firestore.
   • Extracts archetype field (wolf/owl/shark).
   • Maps to RiskProfile string.
2. Market Brain (alpha.py):
   • Receives RiskProfile in analyze_market().
   • Sets internal constants (MIN_CONFIDENCE, MAX_THETA, RISK_MULTIPLIER) based on profile.
3. Execution (oracle.py):
   • Executes trade with the calculated size.

Defaults

If a user has no profile or the fetch fails, the system defaults to Strategist (Wolf) to ensure balanced performance.