Institutional Risk Intelligence Platform • Community Edition 1.0
Concept & Product Vision: $BUK
GLOBAL PROP RISK WORKSTATION
Survive first. Scale second.
Stress-test expectancy, drawdown resilience, losing streaks, payout pathways and prop-firm constraints before exposing a funded account to the market.
CURRENT CIO MANDATEAWAITING MODEL
Select a prop-firm profile or use a custom mandate, then run the model.
01 — Account & Prop Firm Profiles
Choose Evaluation or Funded • then select the prop-firm profile
ACCOUNT STAGEEvaluation
PROFILECustom
NOMINAL ACCOUNT
AVAILABLE DRAWDOWN
PROFIT / PAYOUT TARGET
MINIMUM DAYS
CONSISTENCY LIMIT (%)
RULE TYPECustom
These fields are editable because prop-firm rules differ by programme and can change. Enter the exact rules from your account dashboard.
02 — Survival Engine
Set the mandate, then run up to 6,000 simulations
All calculations run locally in the browser. No credentials, personal data, analytics or external scripts are used.
TRADES0/100
LIVE P&L$0
LIVE WIN RATE0.0%
LIVE MAX DD$0
MODEL EV / TRADE—
SURVIVAL—
RISK OF RUIN—
CIO DECISIONAWAITING
03 — Executive Dashboard
Institutional rating with full explanation
MEDIAN FINAL P&L—
5TH PERCENTILE P&L—
WORST SIMULATED DD—
99TH % LOSS STREAK—
PORTFOLIO RATINGAWAITING
RISK SCORE—
TARGET HIT RATE—
AVG FINAL P&L—
Run the model to generate the institutional rating and CIO guidance.
04 — CIO Risk Intelligence Lab
Ruin, safe sizing, objective probability and fragility
RISK OF RUIN
—Run the model
PASS BEFORE FAILURE—
RECOMMENDED RISK / TRADE—
BREAK-EVEN WIN RATE—
EDGE BUFFER—
MEDIAN MAX DRAWDOWN—
90TH % DRAWDOWN—
95TH % DRAWDOWN—
RISK EFFICIENCY SCORE—
MEDIAN TRADES TO OBJECTIVE—
90TH % TRADES TO OBJECTIVE—
MEDIAN DAYS TO OBJECTIVE—
90TH % DAYS TO OBJECTIVE—
Run Monte Carlo to generate a safe-risk recommendation and objective probability.
Losing-Streak Probability
Chance that the worst streak reaches at least N losses
5+ LOSSES—
6+ LOSSES—
7+ LOSSES—
8+ LOSSES—
10+ LOSSES—
Safe-Risk Comparison
Approximate outcomes under alternative risk sizes
The table begins at your selected risk and tests every $10 lower until $10. The green row marks the highest risk that still earns an Approved CIO decision.
Risk / trade
Risk as % of DD
Survival
Objective probability
Model EV / trade
Rating
CIO decision
Run Monte Carlo to populate.
Fragility Stress Test
How the mandate behaves when assumptions deteriorate
Base Case
Win rate
—
Reward-to-risk
—
Survival
—
Rating
—
Stressed Case
Win rate
—
Reward-to-risk
—
Slippage / trade
$10
Survival
—
Rating
—
The stressed case reduces win rate by 5 percentage points, reward-to-risk by 0.2R and applies $10 of slippage per trade.
05 — Monte Carlo Theatre
Representative equity paths and streak distribution