PROP TRADERS TERMINAL
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 / tradeRisk as % of DDSurvivalObjective probabilityModel EV / tradeRatingCIO 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
Representative Equity Paths — 100 sampled simulations
Losing-Streak Distribution — frequency of worst streaks

06 — Investment Committee

Board-pack style conclusion
Awaiting simulation.
Choose a prop-firm profile, confirm the assumptions and run the model.

07 — Account Economics

Evaluation pass economics and funded-account ROIC

Pass probability is simulated from your current risk, win-rate, reward-to-risk, target and drawdown assumptions.

PASS PROBABILITY
FAIL PROBABILITY
PASS WITHIN ATTEMPTS
EXPECTED ATTEMPTS
EXPECTED ACQUISITION COST
MEDIAN TRADES TO PASS
MEDIAN DAYS TO PASS
ECONOMIC VERDICT
Run the evaluation economics model to estimate the cost and probability of reaching funded status.
TOTAL INVESTED CAPITAL
NET REALISED PAYOUTS
REALISED PROFIT
REALISED ROIC
CASH MULTIPLE
BREAK-EVEN STATUS
PROJECTED ROIC
PROJECTED NET VALUE
Realised ROIC uses money actually withdrawn. Projected ROIC is shown separately so forecast value is never confused with realised cash.

08 — Glossary & Learning Centre

A–Z • searchable plain-English terminology