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VELARION
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VELARION
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Premium trading signals from specialized markets and strategies
Instruments where Signal + COT + News align
No Open Positions
No open positions in the last 7 days
By signal count
No Signals Loaded
Instrument leaderboard will appear once signals are loaded.
Real counts from all active groups
Choose one of the signal groups above to browse its trading signals.
Real-time quality metrics for active signals
Signals with entry price defined
Signals with valid timeframe label
Signals with clear SL defined
Signals with TP defined (rest run with trend)
Last 10 closed signals with results
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Consecutive performance momentum
Win streak data is being collected
Results will appear here once trades are verified
TP / SL / Open distribution by timeframe
Close rate data is being collected
TP/SL tracking requires verified trade outcomes
Executive summary — signal performance this month
| Period | Signals | W | L | Open |
|---|---|---|---|---|
| Week 1 (Feb 2-6) | 0 | — | — | 0 |
| Week 2 (Feb 9-13) | 0 | — | — | 0 |
| Week 3 (Feb 16-20) | 0 | — | — | 0 |
| Week 4 (Feb 21+) | 0 | — | — | 0 |
| Total | 0 | — | — | 0 |
Win/Loss results are being collected. Signal count shows real data from ESI API.
Win rate by signal pattern type — ML analysis
Pattern win rates require verified trade outcomes — currently collecting data
High confluence zones near HTF support/resistance
Volume confirmation required; false breaks filtered
Most frequent setup; aligns with macro trend bias
Works best during London/NY session overlap
Lower WR but high R:R; requires extreme levels
Pattern identification based on machine learning analysis of 360+ historical signals
XAUUSD signals vs buy-and-hold gold strategy
Comparison data is being collected
Requires verified trade outcomes to compute real returns
Factor decomposition of P&L
Attribution data is being collected
Requires verified trade outcomes to compute factor contributions
Live performance stats across all signal groups
BUY vs SELL distribution per signal group (stacked %)
Top 10 instruments by signal count — Win Rate tracking
No Signals Loaded
Leaderboard will appear once signals are available.
Win rates will appear once trade outcomes are verified
Real signal counts by timeframe — ROI tracking coming soon
High frequency, high risk, small per-trade gains
Balanced approach with intraday session closes
Best risk-reward ratio, multi-day holds
Best absolute returns, very low signal frequency
Signal counts are real from ESI API. ROI figures require verified trade outcomes.
Highest confluence setup identified this week
COT positioning at extreme (commercial hedges = contrarian signal)
Seasonal historical pattern aligns with current month bias
RSI divergence on higher timeframe confirmed
Key support/resistance level with multiple retests
DXY correlation confluence at critical level
Best setup of the week is automatically identified from active signals — currently collecting data.
5-step process to execute every signal with discipline
Check the timeframe (SCALPING / INTRADAY / SWING).
Identify the instrument and direction (BUY / SELL).
Confirm COT, Seasonal, and Sentiment alignment on dashboard.
Avoid trading against 2+ opposing macro signals.
Apply the 1–2% risk rule: risk no more than 2% of account per trade.
Position size = (Account × Risk%) ÷ (Entry − SL in points).
Place entry at signal price. Set TP1, TP2 (if given) and SL as specified.
Use limit orders where possible to avoid slippage.
After TP1 is hit, move SL to breakeven to protect profits.
Let remaining position run toward TP2 / TP3 with trailing stop.
Follow these steps on EVERY signal — no exceptions. Discipline is the edge.
Configure how and when you receive signal notifications
Alerts are sent within 60 seconds of signal generation.
Compiled every Monday from verified outcomes
Weekly Digest Pending
Win rate, TP1 hit rate, and outcome breakdowns will appear here once signal tracking data is available. Outcome metrics require verified trade results — not available from raw signal data alone.
Multi-factor alignment score for current XAUUSD setup
Confluence score correlates directly with win rate. Higher alignment = higher probability trades.
Based on 340+ historical signals in STCDASHBOARD dataset.
0 active signals — expiry conditions & time remaining
No Active Signals
Signal expiry conditions are tracked as signals arrive from the ESI API.
Risk-adjusted performance analysis across active signal groups
Avg SL Dist.
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Avg TP1
Tracking...
Max Consec. Losses
Tracking...
Max Drawdown
Tracking...
Avg SL Dist.
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Avg TP1
Tracking...
Max Consec. Losses
Tracking...
Max Drawdown
Tracking...
Win rate, RR ratio, drawdown recovery and confidence scores require verified trade outcomes. Avg SL distance is computed from real signal data.
Directional alignment between correlated instrument pairs
| Pair | Alignment | When to use | Signals |
|---|---|---|---|
| XAUUSD + EURUSD | 76% | XAUUSD BUY when EURUSD BUY same day | 47 |
| GBPUSD + EURUSD | 82% | GBP confirms EUR directional bias | 61 |
| USDJPY + DXY | 88% | DXY strength confirms JPY weakness | 53 |
| BTCUSD + ETHUSDT | 91% | Crypto risk-on confirmation | 38 |
Rule: Use pair confirmation to filter highest confidence trades — when both correlated instruments signal the same direction, probability increases significantly.
Performance comparison across key trading metrics
Win Rate
Average R:R
Emotional Mistakes
Time Required
Key insight: Signals eliminate emotional decision-making — the biggest enemy of profitable trading. With 0 emotional mistakes per week vs 3.2 for the average manual trader, systematic signal-following dramatically improves consistency and long-term profitability.
Confluence factors — stack for higher probability setups
Factors Active
0/5
Stack 3+ factors for maximum edge. When seasonal bias, COT extremes, and session alignment all coincide, signal quality and confluence are at their highest. Actual win rate improvement is tracked once outcomes are verified.
Detailed performance breakdown per active group
Win Rate
Insufficient data
Wins
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Losses
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Active
—
Win Rate
Insufficient data
Wins
—
Losses
—
Active
—
Insufficient resolved trades — data collection in progress
Live P&L tracking — requires price feed integration
Live P&L Tracking Pending
Open position P&L, progress to TP1, and unrealized gain/loss require a live price feed. This view will populate once the price service is connected.
| Session | Hours (UTC) | Win Rate | Signals |
|---|---|---|---|
| NY/London Overlap | 13:00–16:00 UTC | Tracking... | 0 |
| London Open | 08:00–16:00 UTC | Tracking... | 0 |
| NY Open | 13:00–17:00 UTC | Tracking... | 0 |
| Tokyo Session | 23:00–07:00 UTC | Tracking... | 0 |
Win rate per session requires verified trade outcomes. Signal counts above are from loaded data.
Consistency Data Pending
Win/loss streaks, monthly performance scores, and consistency grades require verified trade outcomes. This tracker will populate once outcome tracking is active.
Score = (BUY − SELL) / total × 100. Top 15 instruments by absolute momentum. Based on last 200 signals.
Best/Worst instrument = most/least active by signal count. Win rate requires verified trade outcomes.
Based on last 500 signals. CLOSE/phase signals excluded.
Sorted by signal count (most active first). Win rate requires verified outcomes from signal-results tracker.
Win rate per signal group · refreshes every 60s
WIN · LOSS · EXPIRED · PENDING breakdown
Last 10 closed results — horizontal timeline
Top 3 / Bottom 3 by win rate (min 5 resolved)
No resolved signals yet
No groups with 4+ resolved signals yet
Win rate distribution across timeframes and instrument groups
Most active timeframes by signal count in the last 24 hours
Hottest instruments right now — scored on recency, MTF alignment & phase strength
Portfolio risk distribution based on current signal mix
Suggestive only — not financial advice. Allocation percentages reflect the proportional weight of each timeframe in the current signal mix and are intended as a starting point for your own risk planning. Always apply your own position sizing rules and risk management.
Top 10 instruments by confluence level
Ranked by win rate, then signal volume
Win rates update every 5 minutes from live signal result tracking. Past performance does not guarantee future results.
Expiry: SCALPING 2h · INTRADAY 8h · SWING 72h · LONG_TERM 14d. Showing signals expiring within 4h.
SCALPING 2h · INTRADAY 8h · SWING 72h · LONG_TERM 14d · sorted by soonest expiry
Sorted by most recent activity. Active = signal within last 4h.
Aligned = same direction from 2+ groups. Divergent = conflicting signals from different groups.
Freshest signals in emerald. Stale (>24h) in red. Refreshes every 60s.
Current = last 6h. Prev = 6-12h ago. NET = BUY count minus SELL count. Refreshes every 30s.
Convergence = dominant direction share. Green >75%, Amber 50-75%, Red <50%. Refreshes every 60s.
Amber dot = active in last 30min. Count = signals received in past 4h.
Phase strength: A4/D4=8, A3/D3=7, A2/D2=5, A1/D1=4. Latest phase per instrument. Refreshes every 60s.
Only XAUUSD signals counted. Diverge alert shown when groups show opposite dominant direction. Refreshes every 30s.
Newest at top. Pulsing dot = most recent signal. Refreshes every 30s.
Avg TF: SCALPING=1, INTRADAY=2, SWING=3. Refreshes every 60s.
Instruments classified by keyword match. Refreshes every 60s.
Active = signals in last 4 hours. Refreshes every 30s.
Consecutive signals = latest N signals for that instrument all same direction. Refreshes every 60s.
Rate = signals count ÷ hours since first signal. Based on up to 500 recent signals. Refreshes every 2 min.
Live tracking: WIN = TP hit, LOSS = SL hit, EXPIRED = 14 days unresolved. Data from signal-results API only.
Groups ranked by signal count — auto-refresh 60s
Last 8 signals — refreshes every 5s
A = Accumulation (blue), D = Distribution (amber)
Top 10 instruments by total signal count
Last 20 signals grouped by source — refreshes 30s
Signal counts per group — last 24h
Last 20 signals — newest at top
Last 10min vs previous 10min — auto-refreshes 10s
No velocity data yet.
Phase score + MTF confirmation — top 10
7-day x 24h activity — last 7 days UTC
Average signal count per weekday (last 500 signals)
Last 15 signals from st_experimental & st_challenge
UTC hour distribution (last 500 signals)
Continuation vs reversal pattern by instrument (last 200 signals)
Filter signals by recency window
Score = sum of (phase weight + timeframe weight) per signal. LT=4, SWING=3, INTRA=2, SCALP=1. A1/D1=4, A4/D4=1.
GREEN = last signal under 1h ago. AMBER = 1 to 6h. RED = over 6h or no data.
Compares signal count in last 30min vs prior 30min window. Up = accelerating. Down = slowing. Refreshes every 30s.
Instruments where both accumulation and distribution phases appeared within 24h. Potential phase transition signals.
Real-time group comparison. Phase %= signals with A/D phase tags.
All active signals split by accumulation vs distribution phase tags.
Top 10 most active instruments in last 24h. Green=buy, Red=sell.
Signal split by SCALPING / INTRADAY / SWING / LONG_TERM timeframes.
Instruments with at least one active signal. Amber = covered.
Signal age histogram across 5 buckets. Brighter = more recent.
Kanban view of accumulation/distribution phase stages by signal count.
Health score = freshness (50%) + direction coverage (30%) + volume (20%).