version: "1.0.0" name: wolf-strategy description: >- WOLF v6.3 — Fully autonomous multi-strategy trading for Hyperliquid perps via Senpi MCP. Manages multiple strategies simultaneously, each with independent wallets, budgets, slots, and DSL configs. 5+N cron architecture: 5 shared wolf crons (Emerging Movers 3min, SM Flip 5min, Watchdog 5min, Risk Guardian 5min, Health Check 10min) plus one DSL v5.2 cron per strategy (native Hyperliquid SL sync via dsl-dynamic-stop-loss skill v5.3.1). Same asset can be traded in different strategies simultaneously. Enter early on first jumps, not at confirmed peaks. Dynamic risk-based leverage per strategy. Requires Senpi MCP connection, python3, mcporter CLI, OpenClaw cron system, and dsl-dynamic-stop-loss skill (provides dsl-cli.py + dsl-v5.py). license: MIT metadata: author: jason-goldberg version: "6.3" platform: senpi exchange: hyperliquid

WOLF v6.3 — Autonomous Multi-Strategy Trading

The WOLF hunts for its human. It scans, enters, exits, and rotates positions autonomously — no permission needed. When criteria are met, it acts. Speed is edge.

Proven: +$1,500 realized, 25+ trades, 65% win rate, single session on $6.5k budget.

v6: Multi-strategy support. Each strategy has independent wallet, budget, slots, and DSL config. Same asset can be held in different strategies simultaneously (e.g., Strategy A LONG HYPE + Strategy B SHORT HYPE).

v6.1.1: Risk Guardian & strategy lock. 6th cron (5min, Budget tier) enforcing account-level guard rails — daily loss halt, max entries per day, consecutive loss cooldown. Strategy lock for concurrency protection. Gate check in open-position.py refuses new entries when gate != OPEN.

v6.3: DSL v5.3.1 High Water. Default DSL profile and strategy config use High Water Mode (lockMode: pct_of_high_water) with lockHwPct tiers and per-tier consecutiveBreachesRequired. One DSL cron per strategy runs dsl-v5.py (v5.3.1); state files in {workspace}/dsl/{strategyId_UUID}/. Migration script: wolf-migrate-dsl.py.

v6.2: DSL v5.2 integration. Replaced internal dsl-combined.py with the dsl-dynamic-stop-loss skill. Native Hyperliquid stop-loss sync via dsl-v5.py.

Skill Attribution

When creating a strategy, include skill_name and skill_version in the call. See references/skill-attribution.md for details.

Multi-Strategy Architecture

Strategy Registry (wolf-strategies.json)

Central config holding all strategies. Created/updated by wolf-setup.py.

wolf-strategies.json
├── strategies
│   ├── wolf-abc123 (Aggressive Momentum, 3 slots, tradingRisk=aggressive)
│   └── wolf-xyz789 (Conservative XYZ, 2 slots, tradingRisk=conservative)
└── global (telegram, workspace)

Per-Strategy State

DSL state files live under the DSL skill's directory (by strategy UUID). Wolf-specific state (trade counters) stays in state/:

dsl/                              # owned by dsl-dynamic-stop-loss skill
├── abc12345-.../                 # Strategy A UUID
│   ├── strategy-abc12345....json # DSL strategy config
│   ├── HYPE.json                 # Position state
│   └── xyz--SILVER.json          # XYZ position
└── xyz78901-.../                 # Strategy B UUID
    └── HYPE.json                 # Same asset, different UUID dir, no collision
 
state/                            # wolf-only state (no DSL files here)
├── wolf-abc123/
│   └── trade-counter.json
└── wolf-xyz789/
    └── trade-counter.json

Signal Routing

When a signal fires, it's routed to the best-fit strategy:

1. Which strategies have empty slots?
2. Does any strategy already hold this asset? (skip within strategy, allow cross-strategy)
3. Which strategy's risk profile matches? (aggressive gets FIRST_JUMPs, conservative gets DEEP_CLIMBERs)
4. Route to best-fit -> open on that wallet -> create DSL state in that strategy's dir

DSL default: Use this skill's `dsl-profile.json` as the default when setting up DSL (e.g. dsl-cli.py add-dsl / update-dsl with --configuration @<path-to-wolf-strategy>/dsl-profile.json). Use it unless the user explicitly provides a custom DSL configuration via the agent.

Adding a Strategy

python3 scripts/wolf-setup.py --wallet 0x... --strategy-id UUID --budget 2000 \
    --chat-id 12345 --name "Conservative XYZ" --dsl-preset conservative --provider anthropic

This adds to the registry without disrupting running strategies. Disable with enabled: false in the registry.

Entry Philosophy — THE Most Important Section

Enter before the peak, not at the top.

Leaderboard rank confirmation LAGS price. When an asset jumps from #31->#16 in one scan, the price is moving NOW. By the time it reaches #7 with clean history, the move is over. Speed is edge.

Core principle: 2 reasons at rank #25 with a big jump = ENTER. 4+ reasons at rank #5 = SKIP (already peaked).

Quick Start

1. Ensure Senpi MCP is connected (mcporter list should show senpi)
2. Ensure the dsl-dynamic-stop-loss skill is installed alongside this skill (provides dsl-cli.py and dsl-v5.py)
3. Create a custom strategy wallet: use strategy_create_custom_strategy via mcporter
4. Fund the wallet via strategy_top_up with your budget
5. Determine the user's AI provider — which provider is configured in OpenClaw? (anthropic, openai, or google)
6. Run setup: python3 scripts/wolf-setup.py --wallet 0x... --strategy-id UUID --budget 6500 --chat-id 12345 --provider anthropic

• Setup auto-discovers dsl-cli.py and dsl-v5.py paths and stores them in wolf-strategies.json global config
• If auto-discovery fails, set global.dslCliPath and global.dslScriptPath manually in the registry (or set env DSL_CLI_PATH)

1. Upgrading from v6.1.x? Migrate existing DSL state files: python3 scripts/wolf-migrate-dsl.py

• Copies active state/{strategyKey}/dsl-{ASSET}.json → dsl/{UUID}/{ASSET}.json
• Tombstones old files (sets active: false). Run once before switching crons.

1. Create the 5 wolf crons + 1 DSL cron per strategy using templates from references/cron-templates.md

• The DSL cron mandate is in cronTemplates.dsl_per_strategy from setup output — use the message field directly

1. The WOLF is hunting

To add a second strategy, run wolf-setup.py again with a different wallet/budget. It adds to the registry and creates the DSL cron for the new strategy.

Architecture — 5+N Cron Jobs

v6.2 change: DSL is no longer a combined runner. Each strategy has its own dsl-v5.py cron (from the dsl-dynamic-stop-loss skill), run with --strategy-id {strategyId_UUID} --state-dir {DSL_STATE_DIR} (env vars are fallback). Wolf scripts call dsl-cli.py (add-dsl / delete-dsl) to create and archive DSL state; they never write state directly.

With 2 strategies: 7 crons total (5 wolf + 2 DSL). DSL cron IDs are stored in dslCronJobId in the strategy registry.

Model Selection Per Cron — 2-Tier Approach

IMPORTANT: Determine the user's configured AI provider BEFORE running wolf-setup.py. Pass --provider to auto-select correct model IDs. Do NOT pick models from an unconfigured provider — crons will fail silently.

wolf-setup.py --provider <name> auto-configures model IDs for all cron templates. Step down to Budget tier for simple threshold crons to save ~60-70% on those runs.

Provider defaults (auto-selected by --provider):

Single-model option: All 6 crons can run on one model. Simpler but costs more for the crons that do simple threshold/binary work.

Model ID gotchas:

• --provider auto-selects models. Only use --mid-model/--budget-model to override specific tiers.
• Budget should be the cheapest model that can follow explicit if/then rules. Mid should handle structured JSON parsing and multi-strategy routing reliably.
• Agents are often not model-aware — they may suggest deprecated IDs (e.g. claude-3-5-haiku-20241022) or hallucinate model names. Always use --provider instead of manually specifying model IDs.
• If a cron fails to create or run due to an invalid model ID, fall back to your Mid model for that cron. A working cron on the "wrong" tier is better than a broken cron.
• When in doubt, use your Mid model for all 6 crons (single-model option) and optimize tiers later.

Cron Setup

Critical: Crons are OpenClaw crons, NOT senpi crons. All crons run in isolated sessions (agentTurn) — each runs in its own session with no context pollution, enabling cheaper model tiers.

Create each cron using the OpenClaw cron tool. The exact mandate text for each cron is in `references/cron-templates.md`. Replace placeholders ({TELEGRAM}, {SCRIPTS}, {WORKSPACE}).

DSL cron: The DSL per-strategy cron mandate is generated by wolf-setup.py in cronTemplates.dsl_per_strategy.payload.message. Use it directly — wolf-setup.py auto-fills the dsl-v5.py path from global.dslScriptPath in the registry. If the path could not be auto-discovered (placeholder {DSL_SCRIPTS} still present), read global.dslScriptPath from wolf-strategies.json after installing the DSL skill and substitute it manually.

v6.2: 5 shared wolf crons + 1 DSL cron per strategy. No more single DSL Combined cron.

Autonomy Rules

The WOLF operates autonomously by default. The agent does NOT ask permission to:

• Open a position when entry checklist passes
• Close a position when DSL triggers or conviction collapses
• Rotate out of weak positions into stronger signals
• Cut dead weight (SM conv 0, negative ROE, 30+ min)

The agent DOES notify the user (via Telegram) after every action.

Entry Signals — Priority Order

1. FIRST_JUMP (Highest Priority)

What: Asset jumps 10+ ranks from #25+ in ONE scan AND was not in previous scan's top 50 (or was at rank >= #30).

Action: Enter IMMEDIATELY. This is the money signal. Route to best-fit strategy with available slots.

Checklist:

• isFirstJump: true in scanner output
• 2+ reasons is enough (don't require 4+)
• vel > 0 is sufficient (velocity hasn't had time to build on a first jump)
• Leverage auto-calculated from tradingRisk + asset maxLeverage + signal conviction
• Slot available in target strategy (or rotation justified)
• >= 10 SM traders (crypto); for XYZ equities, ignore trader count

What to ignore:

• Erratic rank history — the scanner excludes the current jump from erratic checks.
• Low velocity — first jumps haven't had time to build velocity.

If CONTRIB_EXPLOSION accompanies it: Double confirmation. Even stronger entry.

2. CONTRIB_EXPLOSION

What: 3x+ contribution increase in one scan from asset at rank #20+.

Action: Enter even if rank history looks "erratic." The contrib spike IS the signal regardless of prior rank bouncing.

Never downgraded for erratic history. Often accompanies FIRST_JUMP for double confirmation.

3. DEEP_CLIMBER

What: Steady climb from #30+, positive velocity (>= 0.03), 3+ reasons, clean rank history.

Action: Enter when it crosses into top 20. Route to conservative strategy if available.

4. NEW_ENTRY_DEEP

What: Appears in top 20 from nowhere (wasn't in top 50 last scan).

Action: Instant entry.

Anti-Patterns — When NOT to Enter

• NEVER enter assets already at #1-10. That's the top, not the entry. Rank = what already happened.
• NEVER wait for a signal to "clean up." By the time rank history is smooth and velocity is high, the move is priced in.
• 4+ reasons at rank #5 = SKIP. The asset already peaked. You'd be buying the top.
• 2 reasons at rank #25 with a big jump = ENTER. The move is just starting.
• Leaderboard rank != future price direction. Rank reflects past trader concentration. Price moves first, rank follows.
• Negative velocity + no jump = skip. Slow bleeders going nowhere.
• Oversold shorts (RSI < 30 + extended 24h move) = skip.

Late Entry Anti-Pattern

This deserves its own section because it's the #1 way to lose money with WOLF.

The pattern: Scanner fires FIRST_JUMP for ASSET at #25->#14. You hesitate. Next scan it's #10. Next scan #7 with 5 reasons and clean history. NOW it looks "safe." You enter. It reverses from #5.

The fix: Enter on the FIRST signal or don't enter at all. If you missed it, wait for the next asset. There's always another FIRST_JUMP coming.

Rule: If an asset has been in the top 10 for 2+ scans already, it's too late. Move on.

Phase 1 Auto-Cut

Phase 1 time-based cuts (hard timeout, weak peak, dead weight) are managed by the DSL cron when the skill supplies phase1.hardTimeout, phase1.weakPeakCut, and/or phase1.deadWeightCut in its DSL config. Wolf-strategy does not implement these in the Watchdog; include them in the skill's dsl-profile (or defaultConfig) if desired.

When configured in DSL:

• Hard timeout: Close when elapsed in Phase 1 ≥ intervalInMinutes (e.g. 90).
• Weak peak early cut: After intervalInMinutes (e.g. 45), close if peak ROE &lt; minValue and current ROE &lt; peak ROE.
• Dead weight cut: Close when ROE was never positive and elapsed ≥ intervalInMinutes (e.g. 30).

Why: Phase 1 positions have no trailing stop protection. If the skill enables these in DSL config, the DSL cron enforces them; wolf-strategy no longer needs to manage them.

Exit Rules

1. DSL v4 Mechanical Exit (Trailing Stops)

All trailing stops handled automatically by dsl-combined.py across all strategies.

2. SM Conviction Collapse

Conv drops to 0 or 4->1 with mass trader exodus -> instant cut.

3. Dead Weight

When DSL config includes phase1.deadWeightCut, the DSL cron closes positions that have never gone positive (ROE negative entire time) after the configured minutes. Other dead-weight logic (e.g. conv 0, negative ROE) can remain in agent mandate if desired.

4. SM Flip

Conviction 4+ in the OPPOSITE direction with 100+ traders -> cut immediately.

5. Race Condition Prevention

When ANY wolf script closes a position:

1. Call dsl-cli.py delete-dsl {strategyId} {asset} {main|xyz} --state-dir {DSL_STATE_DIR} to archive the DSL state
2. If CLI output has cron_to_remove → remove that DSL cron (it was the last position for that strategy)
3. Alert user via Telegram
4. Evaluate: empty slot in that strategy for next signal?

Never set `active: false` in place. DSL v5.2 archives files by rename; an in-place deactivation will confuse dsl-v5.py.

DSL v5.2 — Trailing Stop System (via dsl-dynamic-stop-loss skill)

Wolf delegates all DSL logic to the dsl-dynamic-stop-loss skill. Wolf's role:

• Create: call dsl-cli.py add-dsl {strategyId} {asset} {dex} --skill wolf-strategy --configuration {...} --state-dir {DSL_STATE_DIR} after opening a position
• Delete: call dsl-cli.py delete-dsl {strategyId} {asset} {dex} --state-dir {DSL_STATE_DIR} after closing a position
• Run: dsl-v5.py runs as a per-strategy cron with --strategy-id {UUID} --state-dir {DSL_STATE_DIR} (env vars are fallback)

Wolf never writes DSL state files directly.

Phase 1 (Pre-Tier 1): Absolute floor

• LONG floor = entry × (1 − retraceThreshold/leverage) where retraceThreshold=0.10 (10% ROE)
• SHORT floor = entry × (1 + retraceThreshold/leverage)
• 3 consecutive breaches → close
• Max duration: 90 minutes (enforced by Watchdog, not DSL v5 — see Phase 1 Auto-Cut)
• Native HL SL: dsl-v5.py sets a real stop-loss order on HL via edit_position. Between cron runs, HL's engine protects the position.

Phase 2 (Tier 1+): Trailing tiers

Note: DSL v5.2 uses a single consecutiveBreachesRequired for all tiers. build_wolf_dsl_config() derives it from the majority breach count in wolf's tier config.

DSL State Files

Location: dsl/{strategyId_UUID}/{ASSET}.json (e.g. dsl/6a23783a-.../HYPE.json). See references/state-schema.md for schema. Key difference from v4: phase1.retraceThreshold is a fraction (0.10), not a percentage (10).

Rotation Rules

When slots are full in a strategy and a new FIRST_JUMP or IMMEDIATE fires:

• Cross-strategy first: If one strategy is full but another has slots, route to the available strategy instead of rotating
• Rotation cooldown (mandatory): Only rotate a position listed in rotationEligibleCoins from the scanner output. Positions younger than rotationCooldownMinutes (default 45 min) are ineligible — they have flat/negative ROE by design. Do NOT override this with judgment.
• Rotate if: new signal is FIRST_JUMP or has 3+ reasons + positive velocity AND weakest eligible position (from rotationEligibleCoins) is flat/negative ROE with SM conv 0-1
• Hold if: current position in Tier 2+ or trending up with SM conv 3+
• If `hasRotationCandidate: false`: all positions are in cooldown. Do not rotate. Output HEARTBEAT_OK.

Budget Scaling

All sizing is calculated from budget (30% per slot):

Leverage is computed dynamically per position from tradingRisk + asset maxLeverage + signal conviction. See "Risk-Based Leverage" section below.

Auto-Delever: If a strategy's account drops below its autoDeleverThreshold -> reduce max slots by 1, close weakest in that strategy.

Position Lifecycle

Opening

1. Signal fires → validate checklist → route to best-fit strategy
2. Enter via python3 scripts/open-position.py --strategy {strategyKey} --asset {ASSET} --direction {DIR} --conviction {CONVICTION}

• Atomically opens position AND calls dsl-cli.py add-dsl to create DSL state
• DSL CLI fetches fill data (entryPx, size, leverage) directly from clearinghouse
• Do NOT manually create DSL JSON

1. Check output for dsl_cron_needed: true — if present, create the DSL cron for this strategy
2. Alert user

Closing

1. Close via close_position MCP call (or DSL auto-closes via its own cron)
2. Call dsl-cli.py delete-dsl {strategyId} {asset} {dex} to archive DSL state — never set `active: false` directly
3. If CLI output has cron_to_remove → remove that DSL cron
4. Alert user with strategy name for context
5. Evaluate: empty slot in that strategy for next signal?

Margin Types

• Cross-margin for crypto (BTC, ETH, SOL, etc.)
• Isolated margin for XYZ DEX (GOLD, SILVER, TSLA, etc.) — set leverageType: "ISOLATED" and dex: "xyz"
• Same wallet holds both cross crypto + isolated XYZ side by side

XYZ Equities

XYZ DEX assets (GOLD, SILVER, TSLA, AAPL, etc.) behave differently:

• Ignore trader count. XYZ equities often have low SM trader counts — this doesn't invalidate the signal.
• Use reason count + rank velocity as primary quality filter instead.
• Always use isolated margin (leverageType: "ISOLATED", dex: "xyz").
• Leverage auto-calculated — many XYZ assets cap at 3-5x. No skip needed; leverage is computed dynamically from tradingRisk.

Token Optimization & Context Management

Model tiers: See "Model Selection Per Cron" table. Mid for complex crons, Budget for simple threshold crons. Configure per-cron in OpenClaw.

Heartbeat policy: If script output contains no actionable signals, output HEARTBEAT_OK immediately. Do not reason about what wasn't found.

Context isolation (multi-signal runs): Read wolf-strategies.json ONCE per cron run. Build a complete action plan before executing any tool calls. Send ONE consolidated Telegram per run, not one per signal.

Skip rules: Skip redundant checks when data < 3 min old. If all slots full and no FIRST_JUMPs → skip scanner processing. If SM check shows no flips and < 5 min old → skip.

Risk-Based Leverage

Leverage is computed dynamically per position instead of being hardcoded. The formula uses the strategy's risk tier, the asset's max leverage, and signal conviction.

Formula

leverage = maxLeverage × (rangeLow + (rangeHigh - rangeLow) × conviction)
clamped to [1, maxLeverage]

Risk Tiers

Conviction

Conviction (0.0–1.0) determines where within a tier's range to land. It's auto-derived from scanner output:

• Emerging Movers: mapped from signal type (FIRST_JUMP=0.9, CONTRIB_EXPLOSION=0.8, IMMEDIATE_MOVER=0.7, NEW_ENTRY_DEEP=0.7, DEEP_CLIMBER=0.5)

Override

Pass --leverage N to open-position.py to bypass auto-calculation (capped against max leverage as before).

Backward Compatibility

• Existing strategies without tradingRisk default to "moderate"
• defaultLeverage in the registry is used as fallback when max-leverage.json data is unavailable

Guard Rails — Risk Guardian

The Risk Guardian (6th cron, 5min, Budget tier) enforces account-level guard rails that protect against runaway losses across all positions in a strategy. Per-position DSL handles individual trailing stops; guard rails handle the portfolio.

Gate States

When gate != OPEN, open-position.py refuses new entries and emerging-movers.py shows available: 0 for that strategy.

Guard Rail Rules

Config (guardRails in strategy registry)

{
  "guardRails": {
    "maxEntriesPerDay": 8,
    "bypassOnProfit": true,
    "maxConsecutiveLosses": 3,
    "cooldownMinutes": 60
  }
}

All parameters are optional — defaults are used for any missing key. Set per strategy in wolf-strategies.json.

Known Limitations

• Watchdog blind spot for XYZ isolated: The watchdog monitors cross-margin buffer but can't see isolated position liquidation distances in the same way. XYZ positions rely on DSL for protection.
• Health check only sees crypto wallet: The health check can't see XYZ positions for margin calculations. Total equity may differ.

Backward Compatibility

• wolf_config.py auto-migrates legacy wolf-strategy.json to registry format on first load
• DSL v4 → v5.2 migration: Run python3 scripts/wolf-migrate-dsl.py once. Moves active state/{strategyKey}/dsl-{ASSET}.json files to dsl/{UUID}/{ASSET}.json. Old files tombstoned (active: false). Must run before switching to DSL v5 crons.
• Old DSL Combined cron should be removed after migration and per-strategy DSL crons are running

Troubleshooting

See references/learnings.md for known bugs, gotchas, and trading discipline rules. Key ones:

• `dryRun: true` actually executes — NEVER use dryRun
• Max leverage varies per asset — always check max-leverage.json
• `close_position` is the close tool — not edit_position
• Tier 1 lock != guaranteed profit — lock is from high-water, not entry

Scripts Reference

License

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