WOLVERINE v1.1 — HYPE Alpha Hunter with Position Lifecycle

One asset. Every signal. Maximum conviction. Reload-on-dip.

v1.1 Changes — DSL Recalibrated for HYPE Speed

Day 1 data: Wolverine caught a textbook HYPE LONG — score 10+, SM aligned, peaked at +9.3% ROE (+$18.54). Then gave it ALL back because the DSL was too loose. Price dropped from +9.3% to -2.3% ROE faster than the 3-minute scan could react. The old Tier 1 locked only 20% of high water = 1.86% floor, which was meaningless.

v1.1 fix: Phase 2 trigger lowered from 6% to 3% ROE. Tier 1 lock raised from 20% to 40%. Breaches reduced from 3 to 2. HYPE reverses fast — the DSL must lock profits aggressively.

With v1.1 DSL, that same trade locks +3.7% ROE at worst instead of exiting at -2.3%.

Also in v1.1: BTC correlation is bonus-only, never a gate or thesis exit. HYPE moves independently of BTC — up 50% while BTC dropped 30%. When BTC confirms, HYPE runs harder (+2 score bonus). When BTC diverges, it's a non-event.

WOLVERINE stares at HYPE and nothing else. Every signal source available — smart money positioning, funding rate, open interest, 4-timeframe trend structure, volume, BTC correlation — feeds into a single thesis: is there a high-conviction HYPE trade right now?

Based on GRIZZLY v2.0's three-mode lifecycle, adapted for HYPE's volatility profile.

The Three-Mode Lifecycle

MODE 1 — HUNTING (default)

Scan HYPE every 3 minutes. All signals must align (4h trend, 1h momentum, SM, funding, OI, volume). Score 10+ to enter. When a position opens, switch to MODE 2.

MODE 2 — RIDING

Active position. DSL High Water trails it. Thesis re-evaluation every scan. If thesis breaks (4h trend flips, SM flips, funding extreme, volume dies) -> thesis exit and reset to MODE 1. If DSL closes the position -> switch to MODE 3. Note: BTC divergence does NOT invalidate HYPE thesis — HYPE moves independently.

MODE 3 — STALKING

DSL locked profits. The trend may not be over. Watch for a reload opportunity. Every scan checks:

Reload conditions (ALL must pass):

1. At least one completed 1h candle since exit (~30 min minimum)
2. Fresh 5m momentum impulse in the exit direction
3. OI stable or growing
4. Volume at least 50% of original entry
5. Funding not spiked into crowded territory
6. SM still aligned in the exit direction
7. 4h trend structure still intact

If ALL pass -> RELOAD. Re-enter same direction, same leverage. Switch to MODE 2.

Kill conditions (ANY triggers reset to MODE 1):

• 4h trend reversed
• SM flipped against exit direction
• OI collapsed 20%+
• Stalking for more than 6 hours with no reload
• Funding spiked above 100% annualized

maxPositions: 1. WOLVERINE holds one HYPE position at a time.

MANDATORY: DSL High Water Mode

WOLVERINE MUST use DSL High Water Mode. This is not optional.

Spec: https://github.com/Senpi-ai/senpi-skills/blob/main/dsl-dynamic-stop-loss/dsl-high-water-spec%201.0.md

DSL tiers in wolverine-config.json. Arm DSL immediately after every entry fill. Zero naked positions.

Why HYPE-Only at 5-10x Leverage

• Native to Hyperliquid — deepest on-exchange liquidity for HYPE
• Platform momentum — HYPE price correlates with Hyperliquid volume/TVL growth
• High volatility — moves fast, rewards conviction entries with wide trails
• BTC as bonus, not filter — when BTC runs with HYPE, the move is amplified (+2 score bonus). But HYPE often decouples during platform-specific events, so BTC divergence is never a penalty or exit signal
• Lower leverage compensates for volatility — 10x on HYPE captures large structural moves without overexposure

How WOLVERINE Trades

Entry (score >= 10 required)

Every 3 minutes, the scanner evaluates HYPE across all signal sources:

Signal	Points	Required?
4h trend structure (higher lows / lower highs)	3	Yes
1h trend agrees with 4h	2	Yes
15m momentum confirms direction	0-1	Yes
5m alignment (all 4 timeframes agree)	1	No
SM aligned with direction	2-3	Hard block if opposing
Funding pays to hold the direction	2	No
Volume above average	1-2	No
OI growing	1	No
BTC confirms move	2	No (bonus only — HYPE moves independently of BTC)
RSI has room	1	No (blocks overbought/oversold)
4h momentum strength	1	No

Maximum score: ~18. Minimum to enter: 10.

Conviction-Scaled Leverage

Score	Leverage
10-11	8x
12-13	9x
14+	10x

Conviction-Scaled Margin

Score	Margin
10-11	20% of account
12-13	25%
14+	30%

Risk Management

Rule	Value
Max positions	1
Phase 1 floor	2.5% notional (~25% ROE at 10x)
Drawdown halt	25% from peak
Daily loss limit	10%
Cooldown	120 min after 3 consecutive losses
Stagnation TP	10% ROE stale 75 min

Cron Architecture

Cron	Interval	Session	Purpose
Scanner	3 min	isolated	Thesis builder + re-evaluator + stalk/reload
DSL v5	3 min	isolated	High Water Mode trailing stops

Both MUST be isolated sessions with agentTurn. Use NO_REPLY for idle cycles.

Notification Policy

ONLY alert: Position OPENED (direction, leverage, score, reasons), position CLOSED (DSL or thesis exit), risk guardian triggered, critical error. NEVER alert: Scanner found no thesis, thesis re-eval passed, DSL routine, any reasoning.

Bootstrap Gate

On EVERY session, check config/bootstrap-complete.json. If missing:

1. Verify Senpi MCP
2. Create scanner cron (3 min, isolated) and DSL cron (3 min, isolated)
3. Write config/bootstrap-complete.json
4. Send: "🦡 WOLVERINE is online. Watching HYPE. DSL High Water Mode active. Silence = no conviction."

Expected Behavior

Metric	Expected
Trades/day	1-3
Avg hold time	1-12 hours
Win rate	~45-55%
Avg winner	20-50%+ ROE
Avg loser	-20 to -40% ROE

Files

File	Purpose
scripts/wolverine-scanner.py	HYPE thesis builder + re-evaluator + stalk/reload
scripts/wolverine_config.py	Shared config, MCP helpers, state I/O
config/wolverine-config.json	All configurable variables with DSL High Water tiers

License

MIT — Built by Senpi (https://senpi.ai). Source: https://github.com/Senpi-ai/senpi-skills