Overview
Last 30 days · 247 enrolled · live cohort signal
Enrolled
247
↑ 38 (30d)
Tilt events
1,341
↑ 23%
Intervention rate
62%
↑ 8pp
Pass rate
14.2%
vs 7.6% base
At-risk traders
28
↑ 4 today
Saved revenue
$284K
90d retention
HRV by session outcome · 14d
Winning
Losing
Trend
Firm risk gauge
42
Moderate
● Calm● Moderate● High
↑ 3 pts in last hour
Driver: NY session opened, 14 traders entered active
Driver: NY session opened, 14 traders entered active
Cohort vs industry · pass-rate attribution
86% lift over baseline · attribution: tilt-event interventions
Industry baseline
7.6%
FTMO 2024 · n ≈ 2.3M
Apex non-enrolled
8.4%
90d · n=2,140
Apex EdgeNode cohort
14.2%
90d · n=247 · p < 0.001
Tilt-event timing · 24h profile
Outcome distribution
Trader leaderboard
Composite risk score · enrolled cohort ranked by performance + physiological resilience
Top quartile pass rate
31.4%
↑ vs cohort 14.2%
Bottom quartile pass rate
3.1%
vs 7.6% baseline
Median composite score
68
↑ 4 vs last month
Score velocity
+1.2/wk
cohort improving
Composite ranking · top 50
| # | Trader | Status | Composite | Risk score | Resilience | Adherence | P&L Δ | 30d trend |
|---|
Watchlists
Auto-segmented cohorts · updated every 5 minutes
At-risk 28
About to bust 7
Top performers 42
In recovery 18
New enrolled 12
Inactive 7d+ 19
Traders
247 total · enrolled cohort · searchable
| Trader | Status | Enrolled | Sessions | Risk | HRV win | HRV loss | Flags | Accept | P&L Δ |
|---|
Tilt events
Biometric flag log · all interventions audited
| Time | Trader | Severity | HR Δ | HRV Δ | Outcome | Session | P&L impact |
|---|
Risk forecast
Predicted failures next 7 days · n=247 enrolled · model: physiological logistic regression
Predicted failures
22
+ $44K refund risk
High-confidence flag
11
≥80% probability
Saved if intervened
~$28K
recovery est.
Model accuracy 90d
87.3%
↑ 2.1% MoM
Predicted failures · next 7 days
| Rank | Trader | Probability | Top driver | $ at risk | Suggested action |
|---|
Cohort heatmap
Pass-rate by physiological & behavioral cohort · last 90d · n=247
Strongest predictor
HRV crash velocity
r = 0.62
Highest pass rate cell
High HRV × Disciplined
31.4% pass
Lowest pass rate cell
Low HRV × Revenge-prone
3.1% pass
Pass rate by HRV avg × Trading style
Pass rate:
0% → 35%
Pass rate by HRV cohort
HRV > 70ms31.4% · n=41
55-70ms19.8% · n=98
40-55ms10.3% · n=80
< 40ms5.0% · n=28
Tilt timing · NY session-relative
Quarterly insights · Q1 2026
Apex Trader Funding · prepared by EdgeNode research · 16 pages
FINDING #1
HRV crash velocity is the single best leading indicator of failure
Across 247 enrolled Apex traders, the rate of HRV decline in the 60 seconds before a position open shows correlation r = 0.62 with eventual challenge failure — stronger than account age, win rate, max DD, position size, time-of-day.
Recommended: surface HRV-velocity threshold in the trader app at the 90th percentile of historical pre-failure events. Initial March deployment increased intervention acceptance from 47% → 62%.
FINDING #2
Tilt clusters at hours 3-4 and 9-10 of NY session
Two distinct spikes — early NY morning (overnight gap reactions) and late session (midday boredom + over-trading). Recommend pushing intervention thresholds 15% lower during these windows.
FINDING #3
Recovery score predicts next-day performance
Traders entering session with Apple Watch recovery < 40% show 2.3× higher tilt-event rate vs traders with recovery > 70%. Worth surfacing recovery state in onboarding email — gentle nudge to skip the day if recovery is poor.
FINDING #4
Trader cohort cluster: revenge-prone vs disciplined
K-means clustering on 14 physio-behavioral features yields two stable clusters. The "revenge-prone" cluster (n=42) shows 3.6× the tilt-event rate of the "disciplined" cluster (n=89) at equivalent HRV bands — implying the same physiological signal triggers radically different action depending on trader cluster. Recommend intervention messaging adapted per cluster.
METHODOLOGY
Sample, period, and statistical methods
Sample: 247 Apex Trader Funding evaluation participants enrolled Jan 8 - Mar 28, 2026. Apple Watch S7+ HRV (1Hz HR), recovery state daily. Outcomes: pass/fail per Apex's standard challenge rules. Methods: Pearson correlation, logistic regression, k-means clustering, Bonferroni-corrected p < 0.001 significance.
Pass-rate attribution
EdgeNode interventions vs cohort pass rate · last 90 days
Pre-EdgeNode
7.6%
Apex baseline · 2025
No-intervention cohort
9.1%
Ignored alerts · n=94
Active-intervention cohort
14.2%
Accepted >50% · n=153
Δ revenue impact · last 90 days
| Metric | Pre-EdgeNode | EdgeNode active | Δ |
|---|---|---|---|
| Pass rate | 7.6% | 14.2% | +86% |
| Avg evaluation cycles per pass | 3.2 | 1.8 | −43% |
| Funded-account avg lifetime | 2.4 mo | 4.1 mo | +71% |
| Refund rate per challenge | 42.1% | 28.3% | −33% |
| Avg P&L per funded account (90d) | $1,840 | $3,420 | +86% |
| Estimated retained revenue | — | +$284,000 | +$284K |
ROI calculator
Live attribution · what EdgeNode is worth to your firm right now
Investment (annual)
$150K
Premium tier
Saved this year
$284K
90d realized
Projected 12-mo savings
$1.14M
at current cohort growth
Net ROI
7.6×
12-mo projection
Revenue impact ledger · last 90 days
Reduced refunds
28.3% vs 42.1% baseline · 138 fewer refunds at avg $440
+138
$440
+$60,720
Extended funded-account lifetime
+1.7 mo per account · 28 incremental retained accounts
+28
$2,300
+$64,400
Higher pass-rate funnel value
+86% pass rate · 41 incremental funded accounts at avg first-year value $3,800
+41
$3,800
+$155,800
Marketing differentiation lift
"Powered by EdgeNode" lifted Apex sign-up CTR 18% in March test
—
—
+$48,200
TOTAL · 90 DAY
+$329,120
12-month projection
Customizable assumptions
Avg challenge fee
Used for refund-saved math
Funded account avg first-year value
Used for incremental funded math
Avg refund cost
Including rep ops
Cohort growth rate (monthly)
Used for projection
Roster management
Bulk operations · cohort segmentation · enrollment workflows
Total seats
5,000
Premium tier
Used
247
5% utilization
Pending invites
38
Sent last 7d
Activation rate
87%
↑ 4pp this month
Avg time to activate
2.1 days
target <3
Segments
| Segment | Size | Type | Pass rate | Last update |
|---|---|---|---|---|
Funded · NY hours | 94 | AUTO | 21.4% | 2m ago |
Evaluation · <30d | 71 | AUTO | 11.2% | 2m ago |
At-risk (composite <40) | 28 | AUTO | 3.6% | 5m ago |
Top performers · 90d | 42 | AUTO | 31.4% | 5m ago |
Beta v2.5 testers | 14 | MANUAL | — | 3 days ago |
EU prop firm referrals | 21 | MANUAL | 12.0% | 1 week ago |
Pending invites
| Sent | Status | |
|---|---|---|
| trader+jx84@apex.com | 2h ago | OPENED |
| trader+ll21@apex.com | 5h ago | OPENED |
| trader+vn03@apex.com | 1d ago | PENDING |
| trader+kk67@apex.com | 1d ago | ACTIVATED |
| trader+wb19@apex.com | 2d ago | EXPIRED |
| trader+rt75@apex.com | 2d ago | ACTIVATED |
| trader+xa11@apex.com | 3d ago | PENDING |
| trader+yo46@apex.com | 5d ago | EXPIRED |
Custom rules
Firm-defined intervention thresholds & automations
Active rules
14
Triggered today
87
↑ 12% vs yesterday
Acceptance rate
62%
↑ 4pp this week
Drafts
3
Awaiting review
Active rules
R-001 · NY-session HRV crashACTIVEPROD
IF hrv_velocity < −15ms/min AND hr > 90 AND session = "NY-AM" THEN nudge trader_app + log audit
R-002 · Recovery-state morning gateACTIVEPROD
IF recovery_score < 40 AT "session_open" THEN send recovery_email + soft_pause 15min
R-003 · Repeated revenge patternACTIVEPROD
IF tilt_events_24h > 3 AND consecutive_losses >= 2 THEN hard_pause 30min + escalate firm_admin
R-004 · Funded-account drawdown alertACTIVEPROD
IF account_dd > 3% AND hrv_avg_session < 45ms THEN webhook apex.risk + nudge
R-005 · End-of-week burnoutDRAFTSTAGING
IF day = "FRI" AND sessions_this_week > 22 THEN recommend "weekend_break"
R-006 · Pre-evaluation screeningACTIVEPROD
IF applicant_baseline_hrv < 35ms THEN recommend "7-day_baseline_period" before challenge
Audit log
Every intervention, override, and admin action · 90-day retention · SOC2 ready
Recent activity
API & webhooks
Programmatic firm-cohort access
Active API keys
sk_live_apex_•••••••••••••••••••••••••••••••
Created 2026-01-12 · Last used 2m ago · 1,000 req/min
sk_test_apex_•••••••••••••••••••••••••••••••
Test key · Last used 1d ago · 100 req/min
API usage · 7 days
REST endpoints
API docs| Method | Endpoint | Description | Quota | 7d calls |
|---|---|---|---|---|
| GET | /v1/firm/{id}/traders | List enrolled traders | 100/min | 42,138 |
| GET | /v1/firm/{id}/events | Tilt event log (paginated) | 300/min | 89,420 |
| GET | /v1/firm/{id}/cohort/passrate | Pass-rate attribution | 100/min | 3,124 |
| GET | /v1/firm/{id}/forecast | Risk forecast (next 7d) | 60/min | 1,896 |
| GET | /v1/firm/{id}/insights/q1 | Quarterly insight reports | 10/min | 142 |
| POST | /v1/firm/{id}/traders/invite | Bulk invite traders | 20/min | 387 |
| POST | /v1/firm/{id}/webhooks | Configure webhooks | 5/min | 14 |
| DEL | /v1/firm/{id}/traders/{tid} | Unenroll trader | 20/min | 8 |
Active webhooks
| URL | Events | Status | Last delivery | Success 7d |
|---|---|---|---|---|
| https://api.apex.com/edgenode/tilt | tilt.flagged tilt.intervened | Active | 32s ago · 200 | 99.97% |
| https://internal.apex/webhooks/cohort | cohort.weekly | Active | 4d ago · 200 | 100% |
| https://staging.apex/edgenode-test | all | Paused | 12d ago · 503 | 82.4% |
Firm settings
Branding, billing, and trader-facing customization
White-label branding
Firm name
Visible in trader iOS app + emails
Brand color
Trader-app accent
Logo URL
Square PNG, 512px+
Show "Powered by EdgeNode"
Premium tier may hide
Trader enrollment
Auto-enroll new challenge takers
Every new Apex eval gets EdgeNode invite
Min HRV history (days)
Before flagging activates
Intervention sensitivity
Higher = more frequent flags
Send recovery-day reminders
When recovery score < 40%
Billing & plan
Plan
Premium · 5,000 trader seats · renews 2027-04-01
Seats used
247 of 5,000
247 / 5,000
Payment method
ACH ····4719 · Apex Trader Funding LLC
Invoices
Last issued 2026-04-01 · $150,000