OWL v5.2 — Pure Contrarian
Wait for the crowd to overcommit. Wait for them to exhaust. Then eat their liquidations.
One scanner. One thesis. Every other skill in the zoo enters WITH momentum, WITH the trend, WITH smart money. OWL is the only skill that enters AGAINST the crowd. The edge: crowded trades unwind violently and predictably.
v5 is a complete rebuild. v1-v4 had 3 scanners (contrarian + momentum + correlation). The momentum and correlation scanners caused the agent to enter WITH the crowd while thinking it was contrarian. v5 has one scanner that does one thing: find crowded assets that are exhausting.
v5.2 fix: funding floor lowered from 20% → 12%. At 20%, the funding gate hard-blocked every asset before SM concentration, OI concentration, or any other signal was evaluated. Hyperliquid funding rates rarely exceed ~11% annualized in normal conditions, so the five-factor scoring model was never running. At 12%, funding must still be meaningfully elevated, but assets with strong SM/OI crowding signals can now accumulate a score. The minCrowdingScore of 8 remains the real quality gate.
v5.2 also adds observability logging. Every scan cycle logs the top 3 crowding scores and active persistence timers to stderr (internal log only, not notifications). This lets us diagnose "is OWL seeing anything?" without changing config or asking the agent.
MANDATORY: DSL High Water Mode
OWL MUST use DSL High Water Mode. This is not optional. Do not substitute standard DSL tiers.
When creating DSL state files for any OWL position, you MUST include:
{ "lockMode": "pct_of_high_water", "phase2TriggerRoe": 10, "tiers": [ {"triggerPct": 10, "lockHwPct": 20, "consecutiveBreachesRequired": 3}, {"triggerPct": 20, "lockHwPct": 40, "consecutiveBreachesRequired": 3}, {"triggerPct": 35, "lockHwPct": 60, "consecutiveBreachesRequired": 2}, {"triggerPct": 50, "lockHwPct": 75, "consecutiveBreachesRequired": 1}, {"triggerPct": 75, "lockHwPct": 85, "consecutiveBreachesRequired": 1} ] }
FALLBACK: Use tiersLegacyFallback from config until engine supports pct_of_high_water .
How OWL v5 Works
The Three Phases (all must pass before entry)
Phase 1 — CROWDING (score ≥ 8) Scan top 30 assets every 15 minutes. Score how one-sided each asset's positioning is:
Signal Max Points
Funding extremity (annualized rate) 4
SM concentration (leaderboard tilt) 4
OI concentration (USD-weighted) 2
SM confirms funding direction 1
Most assets score 0-3 (not crowded). Only assets scoring 8+ advance.
Phase 2 — PERSISTENCE (4+ hours) Crowding must persist for at least 4 hours. A brief funding spike that resolves in 30 minutes is noise. True crowding builds over hours — funding stays extreme, OI keeps growing, SM stays tilted. The longer the crowding persists, the more violent the eventual unwind.
Phase 3 — EXHAUSTION (score ≥ 5) The crowd is positioned, and they've been positioned for hours. Now: are they exhausting? Four signals:
Signal Points What It Means
Volume declining (recent vs 6h avg) 3 Conviction leaving — nobody new is entering
Price stalling (crowd long but price flat) 3 The trade stopped working — crowd is trapped
Volume spike without follow-through 2 Capitulation wick — someone tried to push, failed
4h RSI divergence 2 Momentum dying despite positioning
Entry
Total score (crowding + exhaustion) must be ≥ 14. Entry direction is OPPOSITE to the crowd. If the crowd is long, OWL goes short. If the crowd is short, OWL goes long.
This means OWL enters 1-2 times per day at most. Often zero. That's by design.
Hold
Every 15-minute scan re-evaluates held positions FIRST. The position holds as long as the crowd doesn't come back.
Re-Crowding Exit (unique to OWL)
If the crowd rebuilds in their original direction (re-crowding score ≥ 6), the unwind thesis is dead and the position exits immediately. This is OWL's equivalent of SCORPION's "sting" — an instant, thesis-based exit that overrides DSL.
DSL: Widest in the Zoo
Contrarian entries retrace hard before working. The crowd doesn't unwind smoothly — they fight back first. OWL needs the widest DSL bands of any skill.
Setting Value Compare to FOX
Phase 1 floor 4% notional (~40% ROE at 10x) FOX: 1.5%
Phase 2 trigger +10% ROE FOX: +7%
T1 lock 20% of HW FOX: 40%
85% trail at +75% ROE FOX: +20%
Stagnation TP 15% ROE, 120min FOX: 10%, 45min
Time exits All disabled FOX: 30min hard
The tradeoff: OWL loses bigger on losers (-35 to -40% ROE) but catches crowding unwinds that produce 50-200%+ ROE when the cascade hits.
Risk Management
Rule Value Notes
Max positions 2 Rare, concentrated bets
Max entries/day 2 base, up to 4 on profitable days
Phase 1 floor 4% notional Widest in the zoo
G5 per-position cap 10% of account Wider than most — contrarian needs room
Drawdown halt 25% from peak
Max consecutive losses 2 → 180 min cooldown Long cooldown — if the contrarian thesis failed twice, something changed
Re-crowding exit Immediate If the crowd comes back, thesis is dead
Loss cooldown per asset 6 hours Don't re-enter same contrarian trade too soon
Cron Architecture
Cron Interval Session Purpose
Scanner 15 min isolated Crowding scan + exhaustion detection + re-crowding check
DSL v5 3 min isolated High Water Mode trailing stops
15-minute scanner interval is intentional. Crowding builds over hours, not minutes. Scanning every 3 minutes would waste tokens on data that hasn't changed. The DSL cron still runs every 3 minutes for trailing stop protection.
Notification Policy
ONLY alert: Position OPENED (asset, direction, crowding score, exhaustion signals, how long crowded), position CLOSED (DSL or re-crowding exit with reason), risk guardian triggered, critical error. NEVER alert: Scanner found no crowding, scanner found crowding but no exhaustion, persistence tracking updates, DSL routine check, any reasoning. All crons isolated. NO_REPLY for idle cycles.
Bootstrap Gate
Check config/bootstrap-complete.json every session. If missing:
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Verify Senpi MCP
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Create scanner cron (15 min, isolated) and DSL cron (3 min, isolated)
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Write config/bootstrap-complete.json
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Send: "🦉 OWL v5 is online. Pure contrarian. Scanning for crowded exhaustion. Silence = no opportunity."
Expected Behavior
Metric Expected
Trades/day 0-2 (crowding unwinds are rare)
Avg hold time 4-24 hours
Win rate ~45-55% (wider stops, contrarian timing is hard)
Avg winner 40-150%+ ROE (crowding unwinds are violent)
Avg loser -25 to -40% ROE (wide floors, structural invalidation)
Fee drag/day $2-8 (very few trades, all maker entries)
Profit factor Target 1.3-2.0 (big winners compensate for wider losers)
Files
File Purpose
scripts/owl-scanner.py
Crowding + exhaustion + re-crowding — the only scanner
scripts/owl_config.py
Shared config, MCP helpers
config/owl-config.json
All variables with DSL High Water tiers + legacy fallback
License
Apache-2.0 — Built by Senpi (https://senpi.ai). Attribution required for derivative works. Source: https://github.com/Senpi-ai/senpi-skills