PROFILE
Behavioral Intelligence — Emotional Reactive

You have real skill. But after a bad streak, a different trader takes over.

Based on 847 transactions across 2 accounts over 27 months. Every figure below is computed from your data — nothing is assumed.

ArchetypeEmotional Reactive
ConfidenceHIGH · 82%
Trades Analyzed847
Data Window27 months
Last Updated24 Mar 2026
Estimated Annual Pattern Tax
$34,200
Cost of behavioral mistakes across 847 trades
Disposition effect · selling winners early$14,800
Revenge trading · 6 sequences detected$9,400
Wash sales · 12 losses deferred$4,840
Premature exits near LTCG threshold$5,160
Full breakdown — 12 patterns
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Win Rate
43%
Population median: 49%
Avg Hold · Losers
31 days
vs 8 days on winners
Sizing Variance
CoV 1.42
Disciplined threshold: 0.50
Star Trade Dependency
67%
Of gains in top 3 trades
Behavioral patterns
Where the cost actually lives
Three views of the same weakness: the loss streak changes both your timing and your size.
Hold Duration — Winners vs Losers
Average days held per outcome bucket
0d 10d 20d 30d 8 days Winners 31 days Losers 3.9× longer
Winners held 8 days avg
Losers held 31 days avg
Position Size Over Time
Oversizing spikes after losing sequences
avg $47K Mar $38K Jul Jan May Sep Jan '26
Pattern tax driver — severity 9

After your 4-loss streak in March, your next position was $47,000 — 2.8× your average size. The edge did not disappear. Your behavior changed state. That shift alone likely costs $9,400 per year.

Cost · L3B-001
Your losers lived 3.9× longer than your winners
Winners were held 8 days on average. Losers were held 31. The asymmetry is not subtle — it is structural.
$14,800/yr847 trades
Tax · L3A-002
12 wash sales kept losses locked instead of realized
You re-entered names too quickly after loss exits, deferring tax value you thought you had captured.
$4,840 deferred12 events
Strength · L3B-016
Outside loss streaks, your sizing discipline is actually strong
When the emotional trigger is absent, your baseline variability drops into a healthy range. The problem is episodic, not permanent.
CoV 0.38 baseline
Trading DNA
8 behavioral dimensions
Each dimension is scored from trade evidence and adjusted by contextual rules.
ActiveMomentumConcentratedEmotionalSophisticatedTrajectoryIndependentRisk
Active vs Passive
passiveactive
68
Momentum vs Value
valuemomentum
72
Concentrated vs Diversified
diversifiedconcentrated
35
Disciplined vs Emotional
disciplinedemotional
78
Sophisticated vs Simple
simplesophisticated
42
Improving vs Declining
decliningimproving
44
Independent vs Herd
herdindependent
55
Risk Seeking vs Averse
averseseeking
61
Behavioral Intelligence — Premium Seller

Your options book has real edge. But when you sell matters more than what you sell.

Based on 312 options trades and 94 equity positions across 18 months. IV history adds context to every short-premium decision.

ArchetypePremium Seller
ConfidenceHIGH · 79%
Options Trades312
Win Rate67%
Defined Risk Book91%
Estimated Annual Pattern Tax
$18,400
Mostly coming from entering premium too cheaply
Low IV entry · 31 STO positions below IV rank 25$10,200
Early profit-taking · average 34% of max$5,800
Overholding near expiration$2,400
Full breakdown — 8 patterns
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Avg P&L · Low IV
-$340
IV rank below 0.30
Avg P&L · High IV
+$820
IV rank above 0.50
Profit Capture
34%
Target: 50% max profit
Theta Efficiency
61%
Benchmark: 70%+
Options execution analysis
The same structure performs differently depending on entry quality.
Your behavior is not random. It clusters around one recurring mistake: collecting premium when volatility is not paying you enough.
IV Rank at Entry vs Trade P&L
Low-volatility entries cluster below breakeven.
$0 IV 0.50 avg -$340 avg +$820
Low IV entries
High IV entries
Profit Capture Distribution
You routinely close before your own structure pays enough.
target 50% your avg 34%
IV entry analysis · pattern tax driver

The difference between your low-IV entries and your high-IV entries is not cosmetic. It is $1,160 per trade. Same trader. Same structures. Different entry discipline.

Cost · L3D-001
31 short-premium entries were made when volatility was too cheap
Those trades underperformed the high-IV set dramatically. The issue is not your framework — it is when you deploy it.
$10,200/yr31 trades
Cost · L3D-003
You capture 34% of max profit when the process calls for 50%
Your exits are consistently early. That improves comfort, but it weakens expectancy.
$5,800/yr34% capture
Strength · L3C-013
91% of the book is defined-risk and structurally disciplined
The architecture of the strategy is solid. The timing inputs are where the leak lives.
91% defined-risk
Trading DNA
8 behavioral dimensions
Active vs Passive
passiveactive
58
Momentum vs Value
valuemomentum
62
Concentrated vs Diversified
diversifiedconcentrated
44
Disciplined vs Emotional
disciplinedemotional
38
Sophisticated vs Simple
simplesophisticated
81
Improving vs Declining
decliningimproving
62
Independent vs Herd
herdindependent
67
Risk Seeking vs Averse
averseseeking
42
Behavioral Intelligence — Concentrated Accumulator

You build positions like an institution. Your edge is patience — and one question the data cannot answer alone.

Based on 247 transactions across 3 accounts over 50 months. This profile is less about behavioral cost and more about structural concentration and conviction.

ArchetypeConcentrated Accumulator
ConfidenceMEDIUM · 74%
Avg Hold Period847 days
Win Rate61%
Turnover PercentileBottom 8%
Profile mode
DNA Mode — your discipline is the insight
There is no large pattern tax headline here. The interesting question is how concentration was built and whether that concentration was thesis-driven or accidental.
Top 3 Positions
84%
of realized gains
Avg Entries / Top Position
5.2
Systematic scaling
Effective Positions
4
Despite 14 holdings
Unified Tech Exposure
61%
vs 34% per-account
Behavioral strengths + open questions
The data shows unusual patience. It still needs your context.
Portfolio Allocation — Capital Distribution
Four effective positions despite a larger headline holding count.
38% Top Position 22% Position 2 16% 8% 4% 3% 3% 6%
Win Rate by Hold Duration
Your edge increases materially with patience.
34% 48% 58% 71%
Open question — requires your context

Your top position accounts for 71% of realized gains. The data shows you built it patiently over 6 entries in 14 months. It does not show the thesis. That part still needs you.

Strength · L3B-024
You scale into conviction instead of forcing a full-size first entry
Across major winners, the average entry price improved materially through tranche discipline.
5.2 avg entries-12% avg cost
Strength · L3B-015
Your edge compounds with duration, not frequency
Positions held longer than a year materially outperform the short-duration bucket.
847 days avgBottom 8% turnover
Structural · L3C-004
Cross-account aggregation reveals concentration hidden in plain sight
Viewed together, technology exposure is nearly double what any single account implies.
61% unified34% per-account
Trading DNA
6 active dimensions — 2 need more data
This investor profile is structurally strong, but some dimensions require option or timing evidence to fully resolve.
Active vs Passive
passiveactive
22
Momentum vs Value
valuemomentum
31
Concentrated vs Diversified
diversifiedconcentrated
74
Disciplined vs Emotional
disciplinedemotional
28
Sophisticated vs Simple
simplesophisticated
Improving vs Declining
decliningimproving
68
Independent vs Herd
herdindependent
Risk Seeking vs Averse
averseseeking
58
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Full context: your trading data