Build a Custom Prop Firm Dashboard Using AI in Minutes
Turn a plain-English description of your Prop Firm Dashboard into a production-ready build, from design to deployment, in minutes. No code needed.
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Emergent Key Features for Building a Prop Firm Dashboard
Programme rules evaluated live across every account, with traders seeing their own buffer and progress.
Rules Evaluated Live
Drawdown and exposure limits are checked against current equity and open positions, so a breach is identified as it occurs rather than overnight.
Remaining Buffer Shown
Each account displays how much drawdown is left before a limit, which prevents the disputes that follow an unexpected breach.
Firm Level Exposure Aggregated
Positions across all traders are combined, revealing concentration risk that individual account monitoring never shows.
Behaviour Change after Funding
Risk taken during evaluation is compared with behaviour once funded, identifying traders who change approach when the capital is real.
Cohort Profitability
Fees collected are compared with payouts made per cohort, showing which programme tiers and rule sets actually work commercially.
Trader Facing Progress Views
Traders see their own targets, buffers and progress, which reduces support volume and removes ambiguity about their standing.
Prop Firm Dashboard Use Cases You Can Build in Minutes

Catch a Breach at the Moment It Happens
Every funded account with current equity, daily drawdown used against limit, overall drawdown used against limit, open position exposure, accounts within a small margin of a breach, accounts in breach with the rule triggered and firm wide exposure.
window.awbMockup = { riskMonitoring: "Build a prop firm risk dashboard showing every funded account with current equity, daily drawdown used against limit, overall drawdown used against limit, open position exposure, accounts within a small margin of a breach, accounts currently in breach with the rule triggered, and total firm exposure across all traders.", evaluationProgress: "Build an evaluation dashboard showing each trader in the challenge phase with profit achieved against target, trading days completed against minimum, drawdown consumed, consistency against your rules, days remaining in the period, traders likely to pass and those close to failing, and pass rate by cohort.", traderPerformance: "Build a prop firm performance dashboard showing profit and loss per funded trader over selectable periods, win rate, average win against average loss, profit factor, maximum drawdown experienced, instruments traded and hours held, traders whose risk behaviour changed after funding, and the traders producing consistent returns.", payoutAndProgramme: "Build a prop firm programme dashboard showing payouts due and paid by trader with profit split applied, payout requests pending review, firm profit share by trader and cohort, evaluation fees collected against payouts made, traders churning after their first payout, and net programme profitability by cohort."};

See Who Will Pass and Who Is About to Fail
Each trader in the challenge phase with profit achieved against target, trading days completed against minimum, drawdown consumed, consistency against your rules, days remaining and traders likely to pass or close to failing, with pass rate by cohort.
window.awbMockup = { riskMonitoring: "Build a prop firm risk dashboard showing every funded account with current equity, daily drawdown used against limit, overall drawdown used against limit, open position exposure, accounts within a small margin of a breach, accounts currently in breach with the rule triggered, and total firm exposure across all traders.", evaluationProgress: "Build an evaluation dashboard showing each trader in the challenge phase with profit achieved against target, trading days completed against minimum, drawdown consumed, consistency against your rules, days remaining in the period, traders likely to pass and those close to failing, and pass rate by cohort.", traderPerformance: "Build a prop firm performance dashboard showing profit and loss per funded trader over selectable periods, win rate, average win against average loss, profit factor, maximum drawdown experienced, instruments traded and hours held, traders whose risk behaviour changed after funding, and the traders producing consistent returns.", payoutAndProgramme: "Build a prop firm programme dashboard showing payouts due and paid by trader with profit split applied, payout requests pending review, firm profit share by trader and cohort, evaluation fees collected against payouts made, traders churning after their first payout, and net programme profitability by cohort."};

Find Who Changes Behaviour Once Funded
Profit and loss per funded trader over selectable periods, win rate, average win against average loss, profit factor, maximum drawdown experienced, instruments and hours traded, traders whose risk behaviour changed after funding and the consistent performers.
window.awbMockup = { riskMonitoring: "Build a prop firm risk dashboard showing every funded account with current equity, daily drawdown used against limit, overall drawdown used against limit, open position exposure, accounts within a small margin of a breach, accounts currently in breach with the rule triggered, and total firm exposure across all traders.", evaluationProgress: "Build an evaluation dashboard showing each trader in the challenge phase with profit achieved against target, trading days completed against minimum, drawdown consumed, consistency against your rules, days remaining in the period, traders likely to pass and those close to failing, and pass rate by cohort.", traderPerformance: "Build a prop firm performance dashboard showing profit and loss per funded trader over selectable periods, win rate, average win against average loss, profit factor, maximum drawdown experienced, instruments traded and hours held, traders whose risk behaviour changed after funding, and the traders producing consistent returns.", payoutAndProgramme: "Build a prop firm programme dashboard showing payouts due and paid by trader with profit split applied, payout requests pending review, firm profit share by trader and cohort, evaluation fees collected against payouts made, traders churning after their first payout, and net programme profitability by cohort."};

Know Which Cohorts Are Commercially Sound
Payouts due and paid by trader with profit split applied, requests pending review, firm profit share by trader and cohort, evaluation fees collected against payouts made, traders churning after their first payout and net profitability by cohort.
Know Which Cohorts Are Commercially Sound
Payouts due and paid by trader with profit split applied, requests pending review, firm profit share by trader and cohort, evaluation fees collected against payouts made, traders churning after their first payout and net profitability by cohort.
Build a custom prop firm dashboard in 4 simple steps
Monitor funded traders against drawdown and risk rules in real time, so breaches are caught as they happen rather than found in a daily report.
Start with your evaluation and funded account rules, including profit targets, daily and overall drawdown limits, position size restrictions, permitted instruments and payout terms. Emergent builds the rule engine around your programme rather than a generic account view.
Link your broker or platform accounts across all traders. Emergent evaluates every rule against live equity and open positions, so a drawdown breach is detected at the moment it occurs rather than at end of day.
Ask to alter a drawdown limit, add an account tier, change the profit split or introduce a new consistency rule, and every account is evaluated against the new terms immediately.
Deploy one build where your risk desk sees every account against its limits and each trader sees their own progress and remaining buffer. Rule disputes become rare because both sides read the same figures.
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