Conceptual 10-layer Strategic Planning Pyramid
The 10-layer Strategic Planning Pyramid is engineered for F.O.R.EX framework. It is structured to be:
- Hierarchical (top-down intent → bottom-up execution)
- State-aware (feeds your regime, Greeks, and rule engines)
- Dashboard-compatible (each layer maps to data + decisions)
🔺 F.O.R.EX Strategic Planning Pyramid (10 Layers)
01. Vision + Creed (North Star Layer)
Purpose: Define identity and ultimate direction.
Components:
- Vision (long-term outcome: financial independence, mastery, FIRE)
- Creed (operating philosophy: probabilistic thinking, discipline, antifragility)
Output (System Level):
- Immutable constraints for all decisions
- Anchor for risk tolerance and edge selection
02. Mission + Core Values (Operating Doctrine)
Purpose: Translate vision into actionable doctrine.
Components:
- Mission: Why you trade (income, growth, capital preservation)
- Core Values:
- Risk-first thinking
- Process > outcome
- Bayesian updating
- Rule-based execution
Output:
- Behavioral constraints (no trade outside rules)
- Filters for strategy selection
03. Goals + Forecast (Directional Targets)
Purpose: Quantify direction and expectations.
Components:
- Annual / quarterly return targets
- Volatility-adjusted expectations
- Forecast:
- Market regimes (macro + volatility cycles)
- Expected opportunity sets
Output:
- Expected return distribution
- Risk budget envelope
04. Objectives (Trade-Level Intent)
Purpose: Define why each trade exists.
Categories:
- Capital preservation (hedging)
- Income (theta/VRP capture)
- Growth (directional/speculative)
Output:
- Trade classification
- Objective-aligned constraints (e.g., theta target, delta bias)
05. Assessment (Situational Intelligence Layer)
Purpose: Build real-time market understanding.
Components:
- Situational Analysis
- Macro (rates, liquidity, macro flows)
- Micro (price action, structure, liquidity)
- BCD Framework
- Broad Sentiment
- Context (trend, volatility, regime)
- Divergence (risk modifier)
Output (Critical):
MARKET STATE = Trend + Volatility Regime + Liquidity + Flow
06. SWOT + Assumptions (Analytical Engine)
Purpose: Convert assessment → tradable hypothesis
Components:
- SWOT (internal + external factors)
- Assumptions:
- Prior (before data)
- Posterior (after update)
- Iterative hypothesis loop
Key Upgrade:
Hypothesis =
Given [regime], asset will [behavior] over [time]
with P(A)=X%
Output:
- Bayesian posterior probability
- Trade qualification (ENTER / WAIT / SKIP)
07. Strategies (Edge Deployment Layer)
Purpose: Map edge → structured playbook
Components:
- Playbook (strategy inventory)
- Source of edge:
- VRP (volatility risk premium)
- Directional edge
- Flow / GEX positioning
- Strategy types:
- Campaign trades (systematic)
- Bets (opportunistic)
Output:
- Strategy selection rules
- Mapping:
Vol Regime → Strategy Class → Structure Template
08. Desired Results + KPIs (Performance Layer)
Purpose: Define success metrics before execution
KPIs:
- Trade level:
- POP, EV, R multiple
- Portfolio level:
- Sharpe ratio
- Max drawdown
- Net Greeks exposure
Output:
- Measurable success criteria
- Feedback signals for strategy validation
09. Tactics + Plans (Execution Blueprint)
Purpose: Convert strategy → executable trade
Components:
- Trade structure:
- Strikes, DTE, spreads
- Risk plan:
- Stop, target, adjustment rules
- Execution plan:
- Entry timing
- Scaling rules
Output:
- Fully defined trade (machine-executable)
10. Budget · Implementation · Monitoring (Control System)
Purpose: Close the loop → adaptive system
Components:
- Budget
- Capital allocation
- Risk per trade
- Implementation
- Order execution
- Automation (rule engine)
- Monitoring
- Trade state tracking
- Greeks exposure
- Feedback loop (journaling + review)
Output:
FEEDBACK LOOP:
Execution → Data → Review → Model Update → New Hypothesis
🔁 How This Pyramid Integrates with F.O.R.EX
TOP (Strategic Intent)
01–03 → WHY (Vision → Goals)
MIDDLE (Analytical Engine)
04–06 → WHAT (Objectives → Hypothesis)
LOWER (Execution System)
07–10 → HOW (Strategy → Execution → Monitoring)
⚙️ Key Structural Advantage
This pyramid now:
- Feeds your database schema directly
- Maps cleanly to your rule engine
- Aligns with PACE + OODA:
| Pyramid | PACE | OODA | F.O.R.EX |
|---|---|---|---|
| 01–03 | Plan | Observe | Fundamentals |
| 04–06 | Analyze | Orient | Orient |
| 07–08 | Construct | Decide | React |
| 09–10 | Execute | Act | Execute |
If You Want Next Step Precision
I can convert this into:
- Google Sheets Dashboard (tabs mapped to each layer)
- Python objects (each layer = class + methods)
- Automated checklist engine per trade
Tell me which direction you want to operationalize next.