01Deep
Source depth
75.0%
Average fill across returned public evidence lanes.
Chart-first trader evidence
BrightStars
0xc84f7e...e0c5
Workflow rail
Evidence handoff
1
Save evidence
Store the current profile snapshot for later review.
Local snapshot
2
Compare trader
Save and select this candidate before opening Compare.
Selected on openCompare
3
Prepare setup
Carry this candidate into read-only manual notes.
Manual onlyPrepare manual review notes
Start with source-backed evidence shape, then inspect the visual proof before opening raw rows.
First-read evidence map
A source-window map of what is known, what is thin, and where manual review starts.
Source visibility, not score.
Known evidence
5/6 metric fields
Source gaps
1 gaps
PnL sample
50 rows with PnL fields
Visible exposure
33 valued rows
Manual boundary
Read-only
Review compass
What is known, what is missing, and what to inspect next.
What we know
50 closed rows · 500 trades · 33 current rows
All counts are returned public source-window rows.
What is missing
Sample drawdown
The formula needs returned inputs that are missing or too thin.
Inspect next
Inspect source gaps before saving as a setup candidate.
Use this as the next manual review step before saving for setup.
Manual review ladder
Enough to inspect, limited where source fields are thin, never copy-ready.
Depth
Needs review
5/6 metric fields visible.
Activity
Ready to inspect
500 returned trade rows.
Exposure
Ready to inspect
33 current rows; 33 with value.
Gaps
Needs review
1 first-screen source gaps.
Handoff
Manual only
Save, compare, then prepare read-only notes.
Main insight
Behavior evidence is the strongest lane right now: 500 returned trades can be inspected before setup.
Main concern
Drawdown is unavailable, so downside cannot be assessed from returned fields.
Next action
Inspect source gaps before saving as a setup candidate.
Save / Compare / Setup handoff
Save the evidence snapshot, compare alternatives, then use Setup only for read-only manual notes.
SaveComparePrepare manual review notes
Sample drawdown
Formula not readyThe formula needs returned inputs that are missing or too thin.
Open for context
Thin evidence: inspect source gaps before comparison.
Drawdown unavailable
Public source status
Polymarket public data
Latest source timestamp: Jun 11, 2026
Read-only evidence. No wallet, orders, allocation advice, or copy-ready claim.
Source-window facts
Closed window
50 returned / Unavailable requested
50 rows with PnL fields
Trade rows
500
500 returned trades can support behavior review.
Current rows
33
33 valued rows
PnL clarification
Closed-position PnL window · 50 rows
Read-only evidence. No wallet, orders, allocation advice, or copy-ready claim.
Visible metric-field coverage
5/6 metric fields
Returned PnL
$310,215.22
This is a returned public window with 50 PnL rows, not lifetime performance.
Closed-position PnL window · 50 rows
Open exposure
$527,644.31
Market concentration
8.8%
Evidence atlas
Eight chapters before raw detail.
A fast source-backed map of depth, returned PnL, freshness, behavior, sizing, market mix, exposure, and review blockers.
02Thin
Returned PnL
$310,215.22
50 returned rows include usable PnL fields.
03Enough
Freshness
60.0%
Lane-level recency from returned timestamps and hydration metadata.
04Deep
Behavior map
500 rows
Trade rows with price and notional can be plotted.
05Deep
Sizing bands
500 rows
Returned notional or entry-price rows support distribution views.
06Enough
Market mix
3 groups
Simple grouping from returned market labels only.
07Deep
Open exposure
$527,644.31
33 current rows include visible value fields.
08Thin
Review blockers
0 blockers / 1 cautions
Missing fields and caution signals stay visible before setup.
Report opening
Start with the evidence story and freshness lanes.
These modules explain whether the returned public window is rich enough to inspect before any raw table appears.
Evidence story strip
Read this profile as a visual evidence story.
The strip shows which chapters are rich, partial, blocked, or thin before you open detail.
01Deep
Depth
Returned rows and source lanes.
02Deep
Behavior
500 returned trades.
03Thin
Exposure
33 valued current positions.
04Thin
Blockers
0 blockers, 1 cautions.
05Enough
Setup
Manual monitor readiness only.
Source freshness timeline
Which evidence lanes are fresh, stale, or missing?
Timeline dates come from returned source metrics, hydration metadata, trade rows, activity rows, or price-history rows.
Freshness is lane-specific: one fresh metric does not make the whole profile real-time.
Source metrics
Latest returned metric timestamp.
Jun 11, 2026
Fresh
Closed rows
Closed-position hydration timestamp.
Unavailable
Missing
Current rows
Current-position hydration timestamp.
Unavailable
Missing
Trades / activity
Latest returned trade or activity row.
Jun 11, 2026
Fresh
Price history
Latest returned market series point.
Jun 11, 2026
Fresh
Performance evidence
Read PnL only inside its returned source window.
Depth and PnL charts show what the source returned; they do not claim lifetime performance.
Evidence depth panel
Do we have enough public data to inspect this trader?
Each lane shows source availability. More filled lanes mean more public evidence to review, not a better trader.
Depth explains inspection confidence, not trader quality.
Closed rows
50 returned rows include PnL fields.
50
Thin
Trade rows
Returned public trades feed behavior and rhythm views.
500
Deep
Current positions
33 rows include value evidence.
33
Thin
Market context
Unique returned markets across trades, positions, or source metric.
242
Deep
Price history
CLOB price-history rows when returned for selected market context.
180
Deep
Freshness
Timestamp from returned source metrics or hydration metadata.
Jun 11, 2026
Deep
PnL story chart
What does the returned public PnL window show?
Bars compare returned realized, open, and net markers where source fields exist.
50 returned PnL rows can support a window read, but still do not prove lifetime performance.
Returned realized PnL$332,429.60
Returned open PnL-$22,214.37
Returned net marker$310,215.22
Returned PnL sequence
18 usable rowsApr 24Jun 10
Bars show the cumulative sample across returned closed rows. This is source-window evidence, not a full account equity curve.
This is a returned public window with 50 PnL rows, not lifetime performance.
Behavior evidence
Inspect how this trader enters and sizes returned trades.
Dots, bands, and price lanes come from returned public trade rows, not inferred intent.
Trade behavior map
How does this trader place returned trades?
Dots use real returned trade rows. Horizontal position is sequence; vertical position is returned entry price; size uses returned notional.
42 returned trades are plotted with price and size, so behavior can be inspected visually.
Older rowsEntry priceLatest rows
Trade size distribution
Are returned trades small, medium, or large?
Bands group returned notional values only.
500 returned trades include notional values for size review.
Under $100
102 trades / $3,381.21
$100-$1k
185 trades / $89,749.03
$1k-$10k
173 trades / $521,192.74
$10k+
40 trades / $1,671,488.12
Entry price bands
Where does this trader enter by probability band?
Bands group returned entry prices; they do not infer intent or win/loss.
500 returned trades include entry prices for band review.
Low price
365 returned trades
Mid price
38 returned trades
High price
97 returned trades
Market context
Check topic mix and activity rhythm before judging the wallet.
These views keep source labels and timestamps visible so the profile is not just a PnL card.
Market / topic mix
Where does returned activity cluster?
Theme bars use returned market labels and codes only; they are not a preference model.
583 returned labels can show topic shape before raw rows.
Other returned labels
US x Iran permanent peace deal by June 15, 2026? / US x Iran permanent peace deal by May 31, 2026?
Politics
Will JD Vance win the 2028 US Presidential Election? / Trump announces end of military operations against Iran by April 30th?
Macro / crypto
MICROSTRATEG
Topic labels are simple source-label grouping, not inferred identity or complete history.
Activity rhythm
Is this trader active, stale, bursty, or quiet?
Bars group returned activity timestamps so bursts and gaps are visible before raw rows.
Latest returned row
Jun 11
96 returned timestamps are grouped; peak returned activity appears around Jun 11.
Returned timestamps
96
Peak bucket
Jun 11
Latest returned row
Jun 11
Jun 11
Exposure evidence
Visible current exposure is reviewed before setup.
Open position values and concentration bars show public returned exposure only, never private balance or allocation advice.
Open exposure map
Where is visible current exposure sitting?
Lanes show returned open-position values where the public source provides them.
6 returned positions create a visible exposure board worth checking before setup. Returned open value: $527,644.31.
Will JD Vance win the 2028 US Presidential Election?
NO / long-no
Returned board share: 35.7%
Iran closes its airspace by June 8?
YES / long-yes
Returned board share: 26.5%
US x Iran permanent peace deal by June 30, 2026?
YES / long-yes
Returned board share: 12.5%
Iran closes its airspace by June 30?
YES / long-yes
Returned board share: 9.1%
US-Iran nuclear deal by June 30?
YES / long-yes
Returned board share: 8.3%
US x Iran permanent peace deal by June 15, 2026?
YES / long-yes
Returned board share: 8.0%
Returned open value
$527,644.31
Source concentration
8.8%
Visible exposure is not a private wallet balance or allocation instruction.
Concentration visual
Is visible exposure diversified or concentrated?
These bars use returned values only and should slow manual review when concentration is high.
No high concentration signal appears from returned values, but this is not a safety score.
Source metric8.8%
Largest returned position30.6%
Top three returned positions64.0%
HHI-style returned concentration17.9%
Manual decision layer
Finish with blockers, readiness, and the next manual check.
This layer can move a candidate into review notes, but never into wallet action or auto-copy.
Review blockers matrix
What should slow down manual copy-prep review?
Blockers turn missing fields, thin rows, stale evidence, and concentration into plain review questions.
1 caution items remain; compare before setup.
PnL window
OpenReturned PnL rows exist for a first manual review.
Behavior sample
Open500 returned trades can support behavior review.
Open exposure
OpenNo immediate open-exposure source blocker from returned fields.
Concentration
OpenNo high-concentration blocker from returned fields.
Source gaps
CautionDrawdown unavailable
Setup / Monitor readiness
Can this trader move into manual setup review?
0 blockers and 1 cautions are visible before any manual setup draft.
Setup can move only into manual review planning, not execution.
01Open
Save evidence snapshot
Store this candidate locally with source-backed notes.
02Open
Compare against alternatives
Use evidence lanes side by side before narrowing candidates.
03Open
Prepare monitor checklist
Only after blockers are reviewed; Velora does not execute orders.
04Open
Setup draft boundary
Draft only a manual review plan; no wallet, order, or allocation action.
What to inspect next
Three manual checks before setup.
These are inspection prompts, not recommendations to copy.
The next step is evidence review, not execution.
01Inspect
Read the strongest evidence lane
Start with the richest source-backed lane, then compare weaker lanes.
02Inspect
Review visible exposure
Check current positions and unavailable values before monitor planning.
03Caution
Compare with caution
Use side-by-side evidence before narrowing candidates.
Unavailable state audit
What remains unavailable, and why?
Unavailable fields are classified so the profile stays honest instead of looking broken.
Sample drawdown
Formula not readyThe formula needs returned inputs that are missing or too thin.
Compare alternatives or wait for a richer returned window.
Related exploration
Do not judge this trader in isolation.
Use the report to choose the next manual step: save the evidence snapshot, compare alternatives, or study the source model.
Source detail ledger
Where did these numbers come from?
Source detail is available after the visual report; it should explain provenance, not dominate the first read.
Source detail explains provenance after the story; it should not carry the first emotional read.
Closed rows
50
Returned public rows
Closed PnL rows
50
Requested window: Unavailable
Current rows
33
Returned public rows
Trade rows
500
Returned public rows
Freshness
Jun 11, 2026
Polymarket public data
Raw evidence
Metric source map
This map shows the endpoint, returned public window, formula, confidence, and update time behind key trader metrics. Missing source values stay unavailable.
6 available
Returned PnL
Data API /closed-positions + /positions
Value
$310,215.22
Source
realizedPnl | cashPnl
returned closed-position PnL + returned current-position cashPnl
Open position value
Data API /positions
Value
$527,644.31
Source
currentValue | size * curPrice
sum(returned current position value)
Returned closed-position win rate
Data API /closed-positions
Value
100.0%
Source
realizedPnl | cashPnl
positive returned closed-position rows / returned closed-position rows with PnL
Sample realized drawdown
Data API /closed-positions
Value
Unavailable
Source
realizedPnl | cashPnl
max peak-to-trough loss in returned cumulative closed-position PnL path
Returned market concentration
Data API /trades
Value
8.8%
Source
conditionId | slug, price, size
Herfindahl-style concentration from returned trade notionals
Largest-win dependency
Data API /closed-positions
Value
25.5%
Source
realizedPnl | cashPnl
largest returned winning closed-position PnL / gross returned winning PnL
Returned trade volume
Data API /trades
Value
$2,285,811.10
Source
price * size
sum(returned trade price * returned trade size)
Detail layer
Raw analytics stay secondary
Open the drilldown below only after the report has answered the human evidence questions.
Beginner path
Session onlyNo account, tracking, wallet connection, payment, or order is created by this path.
Product journey
From discovery to manual setup
Use the report to choose the next manual step: save the evidence snapshot, compare alternatives, or study the source model.
Motion stays atmospheric. Candidate cards, source windows, and counts use returned public data.
01
Discover
Scan public trader candidates
Explore is now a candidate radar: visual lenses, source coverage, and obvious Save / Inspect / Compare actions before any dense table.
Hydrating
02
Inspect
Open trader evidence reports
Start with source-backed evidence shape, then inspect the visual proof before opening raw rows.
0xc84f7e...e0c5
03
Shortlist
Save candidates locally
Keep the reason, evidence depth, main blocker, and compare handoff visible before moving into setup planning.
Save
04
Compare
Review side by side
Compare saved public snapshots by source coverage, missing fields, open exposure, concentration, and manual review blockers.
Compare
05
Setup
Draft manual monitor rules
Saved candidates flow into side-by-side comparison, then into local setup notes and monitoring cadence. This does not connect a wallet or place orders.
Prepare manual review notes
06
Learn
Learn the evidence model without reading a terminal manual.
Academy pairs a persistent knowledge graph with short chapters, glossary cards, and copy-prep concepts for users who need confidence before opening traders.
No investment advice
Product journey
From discovery to manual setup
One live-data route: find a trader, inspect evidence, save the candidate, compare, then prepare read-only monitoring notes.
01
Discover
Scan public trader candidates
02
Inspect
Open trader evidence reports
03
Shortlist
Save candidates locally
04
Compare
Review side by side
05
Setup
Draft manual monitor rules
Open legacy deep analytics drilldown
Candidate report
Building this evidence report
Polymarket public data
Evidence report
Building this evidence report
Velora is fetching the public wallet evidence needed for a readable candidate report. Charts appear only after the source returns usable fields.
What this means
The report is not ready yet. Velora is checking closed evidence, trade behavior, current exposure, and review blockers before showing detail rows.
Closed evidence
Returned closed rows form the first proof layer for activity, PnL, and evidence depth.
Behavior map
Returned trades are mapped only when price, size, market, and time fields are present.
Current exposure
Open positions show concentration only when the public source returns visible values.
Review blockers
Missing, stale, thin, or partial evidence is kept visible before any manual copy-prep decision.
Report structure
Formula pendingSkeleton bars are loading placeholders, not evidence. Real charts stay hidden until backed by returned source rows.