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Behavioural Performance Trend
Composite of 6 DNA pillars · Higher is better
1007550250
64
May 20May 27Jun 03Jun 10Jun 17
Your scoreBaseline (All users)
Equity vs Clean-Behaviour Curve
Clean behaviour removes variance leaks
15%10%5%0%-5%
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May 20May 27Jun 03Jun 10Jun 17
Equity Curve (Net PnL)Clean-Behaviour Curve (Adjusted)
Clean-behaviour modelling is a Pro feature
Connect a broker and upgrade to see how much edge your behaviour is costing you.
Daily Readiness Matrix
MTWTFSS
Stress
Sleep
Focus
Energy
Readiness
Readiness Score
72644860766855
High
Good
Fair
Low
Daily readiness tracking is a Pro feature
Complete daily readiness checks to build your pre-trade fitness matrix.
Discipline
78 /100
Good
↑ 8 vs last month
Risk Control
52 /100
Needs work
↓ 9 vs last month
Tilt Resistance
41 /100
Poor
↓ 12 vs last month
Execution Quality
66 /100
Fair
↓ 2 vs last month
Review Consistency
71 /100
Good
↑ 6 vs last month
Style Alignment
68 /100
Fair
↑ 3 vs last month
Journey Progress
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You are at
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Roadblock: {{ jrny.roadblockTitle }}
{{ jrny.pointsToNext }} pts to {{ jrny.nextStageLabel }}{{ jrny.dnaDelta }} vs last month
Manual vs Automation Fit
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Manual Trading Fit{{ jrny.manualFit }}
Automation Suitability{{ jrny.autoFit }}
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Plan Adherence
71%
Plan completion
This week
This week
Completed steps15 /21 ✓
In progress3 /21 ◔
Missed steps3 /21 ✕
Assessment Cadence
Daily Readiness
7 /7 completed✓✓✓✓✓
Weekly Pulse
1 /1 completed✓
Monthly DNA Reassessment
Not completed
Alerts & Risk Signals3
Post-loss revenge risk
41 post-loss trades this month. Expectancy -$16.84.
Risk-after-loss elevated
Position size increased in 27% of post-loss trades.
Missed journal reviews
7 of 12 active weeks without full review completion.
Next Best Action
Priority Focus
Post-loss recovery protocol
Impact potential
High
Your biggest leak. Start the 20-minute lockout rule and journal immediately after the next full-loss.
At a Glance
Total trades36
Win rate47%
Profit factor1.21
Expectancy$4.62
Largest leakPost-loss behaviour
Your Archetype
The Reactive Executor
Strong instincts, undermined by post-loss reactivity.
DNA Score
64
Confidence
High
Top strengthDiscipline · 78
Top leakTilt Resistance · 41
Best environmentSwing · fewer, higher-quality
Worst environmentFast scalping in drawdown
Behavioural Radar
Benchmark vs Peers
DisciplineTop 22%
Risk ControlBottom 40%
Tilt ResistanceBottom 30%
ExecutionMedian
ReviewTop 30%
Trait Stability · 12 weeks
Higher = more consistent100755025
Self-image vs Observed
Where you rate yourself vs what your trading data shows.
Risk disciplineSelf 82 · Observed 52
PatienceSelf 70 · Observed 61
ConsistencySelf 68 · Observed 71
Largest gap: you believe your risk discipline is stronger than the data supports.
Automation Fit Engine
Manual Trading Fit vs Automation Suitability
Behavioural fit guidance computed from your discipline, risk, loss-response, review and lifestyle signals. This is not investment advice.
Manual Trading Fit
Needs strict guardrailsSuited to discretionary execution right now?
▲Strong review process
▲Realistic objectives
▼Post-loss risk elevated
▼3 rule breaks / 30d
▼Lifestyle readiness fair
Automation Suitability
Consider demo / shadowWould rules-based execution suit you better?
▲Prefers clear rules
▲Strong objectives, weak execution
▲Open to demo / shadow
▲Emotional execution leaks
•Risk literacy: adequate
Recommendation
Your current profile suggests discretionary execution is carrying elevated behavioural risk. Consider testing a rules-based or semi-automated workflow in demo / shadow mode while you rebuild discipline — keep live manual risk small and guard-railed in the meantime.
Primary Roadblock
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Weakest dimension · {{ jrny.roadblockDim }}
Unlock the next stage
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Secondary roadblocks
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Recommended Path
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Why you trade — and what it's doing to you
Motive, financial pressure and identity fusion. The drivers behind the behaviour.
Primary motive
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Pressure Index
{{ jrny.pressureLevel }} risk load
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Manual Fit vs Automation Suitability
Are you built for discretionary trading, or would a rules layer protect your edge?
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Manual Trading Fit
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Automation Suitability
Recommendation · {{ jrny.recLabel }}
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Are you actually getting better?
DNA score across {{ jrny.periods }} months. Same leaks repeating means it's time for a program.
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{{ jrny.dnaDelta }} vs last month · {{ jrny.dnaDeltaAll }} all-time
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Overview
Triggers
Patterns
Leaks
Revenge Trading
High impactRecouping losses quickly, poor decision quality.
13 sessions · 27 triggers-$4,682
Early Exits
MediumClosing winners prematurely, leaving value.
18 sessions · 42 triggers-$2,311
Overtrading
MediumExcessive frequency reducing quality.
21 sessions · 88 triggers-$3,126
Risk Creep
High impactIncreasing size after wins, beyond plan.
9 sessions · 19 triggers-$2,847
Equity with patterns in play
This month ▾Actual equityClean-behaviourPattern events
$114,382
$94,736
Clean-behaviour equity simulates outcomes without behavioural leaks. Gap: -$19,646
Leak impact breakdown
Revenge Trading-$4,682
Overtrading-$3,126
Risk Creep-$2,847
Early Exits-$2,311
Total impact-$13,644
Triggers by session
When your behavioural risk spikes across the trading day.
0910111213141516
Mon
Tue
Wed
Thu
Fri
LowModerateHighVery High
Your risk clusters mid-week, late morning — the window right after early losses. This is where the 20-minute lockout matters most.
Top triggers this month
Losing streak41×
Feeds → Revenge Trading
Missed target33×
Feeds → Early Exits
Boredom / inactivity28×
Feeds → Overtrading
Negative news22×
Feeds → Revenge Trading
Overconfidence19×
Feeds → Risk Creep
Losing streak → Revenge
Two or more losses in a row precede 78% of your revenge trades.
Boredom → Overtrading
Low-volatility sessions trigger 3× your normal trade count.
Winning streak → Risk Creep
Size grows 27% after 3+ consecutive wins, beyond plan.
Small profit → Early Exit
Fear of giveback closes 42% of winners before target.
Weekly pattern frequency
Trigger counts per week, stacked by pattern.
73
96
81
104
68
May 20May 27Jun 3Jun 10Jun 17
RevengeOvertradingRisk CreepEarly Exits
Pattern mix
Revenge Trading34%
Overtrading26%
Risk Creep22%
Early Exits18%
Revenge Trading
Occurrences27
Avg impact-$173
Trend↑ worse
Overtrading
Occurrences88
Avg impact-$36
Trend→ flat
Risk Creep
Occurrences19
Avg impact-$150
Trend↓ better
Early Exits
Occurrences42
Avg impact-$55
Trend↓ better
Total leak this month
-$13,644
Recoverable with discipline
~$9,200
Worst single pattern
Revenge Trading
Detected behavioural events
LIVE · COMPUTED
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Detected by the behaviour engine from your trade log. Toggle the revenge-trade simulator in Atlas Coach to watch these change.
Net P&L
+$8,241
↑ 6.2% this month
Behaviour-adjusted
+$21,887
clean-behaviour model
Plan adherence
71%
↑ 12% vs prev
Risk after loss
+27%
above baseline size
Improvement score
+18.6
↑ vs last month
Equity, drawdown & behaviour events
Win / loss by emotional state
Calm / neutral62% win
Confident55% win
Frustrated31% win
Revenge / tilt19% win
You win 3.2× more often when emotionally neutral. Protect your state.
Behavioural Coverage
6 dimensions
Current profile vs last cycle
This cycle
Last cycle
DNA Score Trajectory
Improving • +16 in 6 moComposite behavioural score, month over month
Trend
3 cycles up
Next band
Proficient @ 70
Weakest
Tilt Resist
Daily
02
Weekly
04
Monthly
07
Quarterly
02
Tools
01
Assessment Coverage
82
Lifestyle
Strong
Consistent routines
74
Psychology
Good
Regulation improving
71
Risk
Developing
Awareness building
76
Performance
Good
Execution improving
Connected broker data powers your edge.
✓Behavioural tracking
✓MAE / MFE analytics
✓Risk monitoring
✓Clean-behaviour curves
MetaTrader 5Live
Read-only sync ✓ Active
Trades synced 2,317
98% complete
cTraderLive
Read-only sync ✓ Active
Trades synced 1,842
96% complete
TradeLockerDemo
Read-only sync ✓ Active
Trades synced 642
94% complete
DXtradeLive
Read-only sync ✓ Active
Trades synced 1,126
95% complete
Broker APILive
Read-only sync ✓ Active
Trades synced 389
92% complete
Connected Accounts 5
BrokerAccount IDRoutingBalanceSyncedCoverageHealth
MetaTrader 512345678Primary$48,327.192,31798%● Excellent
cTraderCT-8754321Secondary$27,614.321,84296%● Excellent
TradeLockerTL-998877Tertiary$10,000.0064294%● Good
DXtradeDX-556644Tertiary$15,732.801,12695%● Excellent
Broker APIAPI-334455Backup$6,981.4538992%● Good
How it works
1
Connect broker
2
Sync trades
3
Assess behaviour
4
Get coaching
100% read-only. Your API keys never gain trading permissions.
Data integrity
Read-only by design✓
Encrypted in transit & at rest✓
You're in control — disconnect anytime✓
Upcoming
Past
Next Coaching Session
A
Atlas 1:1 Coaching Scheduled
Tue, 21 May · 10:00–10:45 AM
Focus: Post-loss behaviour — reframe recent losses, reduce revenge risk, build execution discipline.
Recommended Protocols
Post-loss reset
3 min · Reset your state after losses
Breathing exercise
2 min · Reduce stress, improve focus
Pre-session focus routine
90 sec · Prime your mind for clarity
Recovery after tilt
3 min · Bounce back after dips
Recommended this week
Start with: Post-loss reset
Recent stress (7d)72 ↑
Post-loss riskHigh
Recovery readiness58
Sleep quality (7d)56
Protocol adherence48%
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HOW ATLAS 1:1 COACHING WORKS
From booking to breakthrough in four steps
1
Book a slot
Pick a time in the coach's calendar. Your DNA summary is attached automatically so they arrive prepared.
2
Confirm & pay
Secure checkout confirms the session. Pro plans include monthly credits; extra sessions are pay-as-you-go.
3
Live video session
Meet 1:1 over video. The coach works from your real behaviour data — not generic advice.
4
Plan + recording
You get an updated action plan and a session recording, tracked against your progress over time.
Coaching Marketplace
Work 1:1 with a specialist matched to your roadblock
Coaches are matched to your weakest dimension. Booking, video breakdowns and payment run through your connected providers.
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Prioritised action plan
Generated by the behaviour engine from your weakest dimensions and active events — reorders as your data changes.
LIVE · COMPUTED
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→ {{ a.step }}
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Trigger: {{ a.evidence }}
PRIMARY FOCUS
20-minute lockout after any full-loss
Remove immediate reactivity. Rebuild decision quality.
Rationale
Prevent revenge trading & escalation.
Evidence
73% higher loss chance in the 20 min after a full-loss.
Target
100% compliance with lockout.
Review date
24 Jun 2025 (7 days)
ACTION STEPS · tap to mark done
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WEEKLY GOALS
Follow 20-min lockout 100%5 / 5 ✓
Max 2 trades per day3 / 5
Daily journal entries6 / 7
Risk per trade ≤ 1%4 / 5
HABITS IMPROVING
Risk after loss82% +18%
Overtrading69% +11%
Journaling consistency86% +22%
Sleep compliance74% +9%
TRIGGERED ALERTS
Post-loss revenge risk
17 Jun · 10:42
Overtrading detected
16 Jun · 15:19
Max daily loss exceeded
14 Jun · 11:05
Skipped journal entry
12 Jun · 09:33
Entries
Insights
Mindset Lab
New Journal Entry
Capture your mindset before, during or after the session.
Pre-Trade
Post-Trade
Weekly Review
Monthly Review
Start writing your reflection…
Journal Sentiment Over Time
May 20Jun 03Jun 17
Mindset Signals
Impulsive language
"I should've…"23
FOMO18
Revenge trade11
Disciplined language
Stick to plan28
Follow process24
Protect capital21
Cognitive Distortion Flags
All-or-Nothing · 7
Overgeneralization · 6
Emotional Reasoning · 5
Should Statements · 12
Recommended Interventions
Personalised for your patterns
Reframe This Thought
"I should've taken more size."
"I followed my plan and protected my capital. There will be other high-quality setups."
Breathing Reset
2 min reset to clear mental noise
2:00
Recent entries47 this month
POST-TRADE · Today 14:32+0.4 sentiment
"Followed the plan on the pullback entry. Wanted to add when it ran but the stacking rule said no — stayed flat and let it work."
#discipline#patience
PRE-TRADE · Today 08:05-0.1 sentiment
"Slept badly. Feel like I need to make yesterday back. Max 2 trades today, A+ only — writing it here so I can't pretend I didn't know."
#recovery-urge#fatigue
POST-TRADE · Yesterday 15:48-0.6 sentiment
"Stopped out and re-entered 4 minutes later without a setup. I knew it was revenge while I was clicking. -1.8R on a trade that never existed in the plan."
#revenge#rule-break
WEEKLY REVIEW · Sunday+0.5 sentiment
"Best week in a month. The difference wasn't the market — it was skipping the Tuesday session when readiness was 48."
#readiness#process
Consistency
Current streak12 days
Best streak21 days
Consistency score86%
WHY ENTRIES MATTER
Every entry feeds the NLP engine. The more honestly you write, the earlier ArcisDNA can see revenge, FOMO and fear building — before they cost you a trade.
Pro reset techniques
Science-backed methods used by elite performers — matched to your dominant states this month.
Box breathing
4-4-4-4 to drop arousal before re-entry.
Tap to start · urgency, revenge
Anchoring breath
Slow 4-4-6 tied to a physical cue that recalls your calm state.
Tap to start · fear, hesitation
Physiological sigh
Double-inhale, long exhale to reset in 90 seconds.
Tap to start · stress spikes
Reset routine
Guided 3-min lockout + plan review before the next click.
Tap to start · post-loss tilt
Language theme strength
Extracted from 47 entries · change vs last 30 days
Fear72% ▲ 9%
Urgency64% ▲ 6%
Revenge58% ▲ 11%
Confidence drift46% ▼ 4%
Discipline / process71% ▲ 12%
Cognitive distortion reframes
Patterns detected in your writing — and the counter-thought.
ALL-OR-NOTHING · 7×
"I always give it back."
→ "I gave back on 3 of 12 green days — all post-loss. That is one fixable pattern, not who I am."
FORTUNE TELLING · 4×
"This will definitely run."
→ "I don't know outcomes. I know my risk, my invalidation and my expectancy."
EMOTIONAL REASONING · 5×
"It feels wrong — exit now."
→ "A feeling is data about me, not the market. Check the invalidation before acting."
Self-talk correction
"This trade is moving too slow."
"Patience is part of my edge."
"I need to make it back today."
"The market owes me nothing today. My only job is clean execution."
Deep prompts
Personalised from your dominant themes this month.
01What exactly happens in the 60 seconds between a stop-out and your next click?
02When fear shows up mid-trade, what is it protecting you from — and is that risk real or remembered?
03Write about a trade you skipped correctly. What did that discipline feel like in your body?
04If your trading account could speak, what would it say you value more — being right, or being paid?
Values Atlas is citing
{{ mt.label }}{{ mt.value }}
Every number is computed by buildUserDnaSnapshot(). Atlas can only reference these.
Live engine simulator
Change the inputs — the snapshot, metrics and Atlas answers all recompute deterministically.
Discipline answers{{ sim.discipline }} / 5
Emotional-regulation answers{{ sim.emotional }} / 5
Inject post-loss revenge trades
{{ sim.revengeState }}
Latest journal entry (drives themes)
Same inputs always produce the same score — no randomness. This is the deterministic engine, not a mock.
Best-fit style
Swing
84% match
Lane confidence
78
Style drift risk
Med
Improvement
+18.6
Goal completion
72%
Freshness
4d
EXECUTION FIT
Should you trade manually, or lean on rules & automation?
Computed from your discipline, tilt resistance, execution quality and consistency.
Manual / Discretionary Fit{{ jrny.manualFit }}
You read context well and your execution quality is a genuine edge — but your tilt resistance is the weak link. Discretion works only when your state is controlled.
Do: pre-trade readiness check + hard daily-loss cap so discretion never runs unguarded.
Automation Suitability{{ jrny.autoFit }}
Because your losses cluster around emotional decisions, rules-based execution would protect your edge most. Start by automating risk — not entries.
Do: fixed-fractional sizing + auto lockout after a full loss. Keep entries manual for now.
The verdict
Stay discretionary on entries, but move your risk management onto rails. This captures your execution edge while removing the tilt decisions that cost you most. Re-score monthly — as tilt resistance climbs, manual fit rises and you can loosen the rails.
Swing (2–5 day holds)84% · Best fit
Position (weeks+)71%
Day trading54%
Scalping31% · Poor fit
Coaching Roadmap
✓
Lock in post-loss discipline
Weeks 1–2 · in progress
2
Tighten risk-after-loss sizing
Weeks 3–4
3
Commit fully to swing lane
Weeks 5–8
Monthly Report
Full behavioural & performance summary for June 2025.
Behaviour Report
Leaks, triggers and clean-behaviour impact analysis.
Risk Report
Risk discipline, drawdown and guardrail adherence.
Style Fit Report
Best-fit lane, drift risk and roadmap progress.
Journal / Mindset Report
Language themes, sentiment and distortion flags.
Broker Performance
Synced account P&L, R-multiples and execution.
Recent reports
Monthly Report · May 2025Download ↓
Behaviour Report · May 2025Download ↓
Risk Report · Q1 2025Download ↓
PROFILE
A
Alex Trader
alex@arcisdna.com · {{ planLabel }} plan
DISPLAY NAME
Alex Trader
EMAIL
alex@arcisdna.com
TIMEZONE
London (GMT)
TRADING STYLE
Discretionary intraday
APPEARANCE
Choose the theme that suits your environment.
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✓ Active
NOTIFICATIONS
Behaviour risk alerts
Assessment due reminders
Weekly progress digest
Marketing emails
CONNECTED DATA
Broker accounts (read-only)5 connected
Journal entries47 saved
Export my dataDownload →
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This dashboard is next in the ArcisDNA build queue. The Executive Command Centre is live — approve it and I'll build this screen to match your mock.