PSRC Institutional CRT Execution Engine
- Sandra Wakefield
- 6 hours ago
- 2 min read
1. Purpose
The PSRC Institutional CRT Execution Engine is a rules-based decision and execution framework that identifies, qualifies, monitors and rejects market setups before capital is exposed. Its objective is selective participation in high-quality institutional-style opportunities rather than high trade frequency. Cande Range Theory stands at its core.
Download full manual
Download the Whitepape
2. Core Logic
Liquidity sweep or raid at a meaningful market location.
Decisive displacement confirming intent.
Market structure validation.
Execution location at acceptable entry zones (midpoint, retracement, imbalance, etc.).
Confirmation through enabled filters such as direction, FVG, VWAP, volume and vacuum conditions.
Risk routing only after all mandatory gates pass.
3. Decision Pipeline
Liquidity Sweep → Displacement → Window → Midpoint/Entry Build → Structure → Score → Confirmation → Risk/Reward → Entry
4. Operational States
Standby: no actionable setup.
Watch: developing setup; monitor only.
Ignore: invalid, stale or low-quality setup.
Expired: setup window has elapsed.
Ready/Entry: all gates satisfied.
5. Why It's Institutional
State-machine architecture rather than simple buy/sell signals.
Rejection-first philosophy to eliminate low-quality trades.
Context-driven evaluation before execution.
Explicit failure logic for stale or invalid setups.
Separation of qualification from execution.
Transparent audit trail through dashboard metrics.
The term 'institutional' refers to the architecture and execution discipline, not to guaranteed profitability or privileged market access.
6. Best Practices
Trade only fully qualified setups.
Never revive stale or expired setups.
Use fixed percentage risk (typically 0.25%–0.50% during validation).
Limit correlated exposure across related instruments.
Trade primarily during London and New York sessions.
Avoid major scheduled news unless specifically tested.
Optimize only from statistically significant data.
7. Recommended Assets
XAUUSD
USTEC (NAS100)
US500 (SPX500)
GBPUSD
EURUSD
Major liquid futures equivalents
8. Recommended Timeframes
Daily: macro bias.
H4: higher-timeframe trend.
H1/M15: session structure.
M5: primary execution timeframe.
M1–M3: execution refinement only after higher timeframe confirmation.
9. Risk Framework
Maximum daily loss.
Maximum consecutive losses.
Maximum trades per day.
Session filters.
Spread and ATR filters.
News lockout.
Broker-side stop loss and take profit.
Break-even and partial profit management.
10. Validation Requirements
Forward-testing sample with meaningful statistics.
Expectancy and drawdown analysis.
Market regime segmentation.
Replay and non-repaint verification.
Pine versus cBot signal parity testing.
11. cBot Development Standard
Exact state-machine parity with the frozen Pine strategy.
Broker-safe order execution.
Structured logging of every decision gate.
Paper trading before demo, then limited live deployment.
12. Operator Checklist
Confirm session, spreads and scheduled news.
Verify all execution gates before entering.
Journal every trade including blockers, MAE, MFE and R-multiple.
13. Final Principle
The engine is designed to protect capital by requiring evidence before execution. Missing trades is acceptable. Violating the process is not.
Risk Disclosure
Trading leveraged financial products involves substantial risk. Past or simulated performance does not guarantee future results. This document is educational and operational in nature and does not constitute financial advice.
Comments