python-strategy
Installation
SKILL.md
🐍 PYTHON v1.0 — The Patience Hunter
The snake doesn't chase. It waits for the right meal to wander into range and then holds tight for days. Python is the fleet's first multi-day hold agent.
⛔ CRITICAL AGENT RULES
RULE 1: Install path is /data/workspace/skills/python-strategy/
RULE 2: THE SCANNER DOES NOT EXIT POSITIONS — DSL only.
RULE 3: MAX 2 POSITIONS concurrent — wider than single-asset specialists
RULE 4: Verify runtime on every session start
RULE 5: Never modify parameters without flagging
RULE 6: HARD_STOP circuit breaker triggers at -25% drawdown
RULE 7: Hold is the edge. If tempted to exit early, DON'T — let DSL work.
Why This Agent Exists
Every other Senpi predator (Kodiak, Condor, Wolverine, Polar, Grizzly, Scorpion, Orca, Mantis, etc.) scans fast, strikes, and rotates out within 1-12 hours. Every one is a short-term momentum hunter.
None of them hold for days. That's a blind spot.
Analysis of pr0br000's Arena account (0x5b1c...5c0e, userId M192140)
revealed the fleet is missing an entire archetype:
- 101 trades across 62 assets, $800 → $2,573 in 27 days (+221%)
- 36 wins / 64 losses = 36% win rate (they LOSE more than they win)
- Win dollars: $3,017 / Loss dollars: $960 = 3.14:1 win/loss ratio
- Top 5 winners held 20-114 hours, drove 90% of gross profit
- All top 5 winners were LONG, 3-5x leverage, mid-beta assets (WLD, HEMI, MON, XPL)
- Fee drag only 12% (vs 94% on some fleet agents)
Python embeds these findings as design constraints, not suggestions.
Philosophy
Don't try to win every trade. Try to NOT MISS the one big multi-day winner.
| Most predators (Kodiak, Condor, etc.) | Python |
|---|---|
| High win rate on small wins | Low win rate, ratio does the work |
| Many trades per day | 1-3 trades per day |
| Hourly holds | Multi-day holds |
| 10x leverage | 3-5x typical, 7x apex |
| Single-asset or thesis-picker | Wide universe (top 50) |
| DSL tightens early | DSL loose early, tight late |
Hard Gates (all must pass)
- 4h trend structure ≠ NEUTRAL — must have macro direction
- 1h trend agrees with 4h
- 15m momentum confirms direction (≥0.1% in direction)
- MACRO TREND GATE — no counter-trend against runaway moves >10%
- SM opposes = HARD BLOCK (consensus-backed asymmetry)
- RSI filter — LONG blocked if RSI > 78, SHORT blocked if RSI < 22
- Move-exhaustion penalty — active on moves >4% against direction
- OI > $1M, trader_count ≥ 30 (wider than Condor's 50)
- Not stablecoin, not XYZ DEX
Scoring (MIN_SCORE = 8)
| Signal | Points |
|---|---|
| 4h trend strong (>80% higher-lows/lower-highs) | +4 |
| 4h trend confirmed (60-80%) | +3 |
| 4h trend weak (55-60%) | +2 |
| 1h momentum strong (>1%) | +2 |
| 1h momentum ok (>0.5%) | +1 |
| Daily candle trend strong (>1%) | +2 |
| Daily candle trend ok | +1 |
| LONG_bias bonus (pr0br000 insight) | +1 |
| SM aligned | +2 |
| SM strongly tilted (>70%) | +1 |
| 15m velocity fresh | +1 |
| Funding pays direction | +1 |
| Funding crowded against | -1 |
| Volume ratio ≥ 1.3x | +1 |
| Volume weak (<0.6x) | -1 |
| RSI room (midrange) | +1 |
| MOVE_EXHAUSTION (≥6% with us) | -2 |
| MOVE_TIRING (≥4% with us) | -1 |
Position Sizing (Kodiak's empirical 7x cap for patience)
| Score | Leverage | Margin |
|---|---|---|
| 8-9 | 3x | 25% |
| 10-11 | 5x | 30% |
| 12+ | 7x | 40% |
Never exceeds 7x. pr0br000 averaged 4-5x on winners. Higher leverage destroys the edge via funding + liquidation sensitivity on multi-day holds.
Leverage auto-clamped to per-asset HL max via strategy_get_asset_trading_limits.
Exit (DSL) — Patience Profile
The whole point of Python is to NOT exit early.
| Mechanism | Value | Rationale |
|---|---|---|
| hard_timeout | 5760 min (96h / 4 days) | pr0br000's max hold was 114h |
| weak_peak_cut | 720 min (12h) @ 3% min | Let consolidations develop |
| dead_weight_cut | 360 min (6h) | Don't cut pauses in trend |
| Phase 1 max_loss | 20% | Patient on losers too |
| Phase 1 retrace | 10% | |
| Phase 2 tier 1 | +5% → 15% lock | LOOSE — let winners breathe |
| Phase 2 tier 2 | +12% → 35% | |
| Phase 2 tier 3 | +25% → 60% | |
| Phase 2 tier 4 | +50% → 80% | pr0br000 MON/WLD tier |
| Phase 2 tier 5 | +100% → 90% | Monster winner trail |
| Phase 2 tier 6 | +200% → 94% | Ultra-rare monster (pr0br000 had 2) |
Loose early locks are the feature, not the bug. Aggressive Phase 2 early locking would exit the +1000% tail trades pr0br000 won on.
Runtime Controls
- Scan interval: 10 minutes (most predators run 3 min)
- Max concurrent positions: 2
- Daily entry cap: 3 (dynamic — hot hand unlocks more, drawdown shrinks)
- Per-asset cooldown: 12 hours after exit
- Same-direction cooldown: 6 hours after any trade
- Universe size: top 50 HL perps by 24h volume (crypto only)
- LONG bias: +1 score bonus (pr0br000's top 5 were all LONG)
Install
mkdir -p /data/workspace/skills/python-strategy/{config,scripts,state}
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/python/runtime.yaml -o /data/workspace/skills/python-strategy/runtime.yaml
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/python/SKILL.md -o /data/workspace/skills/python-strategy/SKILL.md
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/python/config/python-config.json -o /data/workspace/skills/python-strategy/config/python-config.json
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/python/scripts/python-scanner.py -o /data/workspace/skills/python-strategy/scripts/python-scanner.py
curl -s https://raw.githubusercontent.com/Senpi-ai/senpi-skills/main/python/scripts/python_config.py -o /data/workspace/skills/python-strategy/scripts/python_config.py
Configure
sed -i 's/${WALLET_ADDRESS}/<YOUR_STRATEGY_WALLET>/' /data/workspace/skills/python-strategy/runtime.yaml
sed -i 's/${TELEGRAM_CHAT_ID}/<YOUR_TELEGRAM_CHAT_ID>/' /data/workspace/skills/python-strategy/runtime.yaml
Install runtime + create scanner cron
openclaw senpi runtime create --path /data/workspace/skills/python-strategy/runtime.yaml
openclaw senpi runtime list
# Create 10-minute cron: python3 /data/workspace/skills/python-strategy/scripts/python-scanner.py
Best For
- Operators who want to complement a short-term predator fleet with a multi-day hold strategy
- Capital sizes $1K+ (Python's 2-position max needs enough margin per slot)
- Users comfortable watching paint dry for days while trades mature
- Users who understand that 36% win rate with a 3:1 ratio beats 60% with a 1.5:1 ratio
Not For
- Operators wanting fast rotation or daily closures
- Capital below $500 (margin per slot is too small)
- Users uncomfortable with multi-day holds through drawdowns
Changelog
v1.0 (2026-04-17) — FIRST SHIP
- New agent, new archetype
- Full Kodiak-family architecture (4-timeframe gates, SM HARD BLOCK, move-exhaustion, RSI filter)
- Wide universe (top 50 by volume, crypto only)
- MIN_SCORE 8 (lower than Condor's 11 — casts wider net)
- Max leverage 7x (lower than family's 10x)
- Max 2 concurrent positions
- DSL profile: 96h hard timeout, 12h weak peak, 6h dead weight
- Phase 2 tiers extended to +200% lock for monster-winner trails
- LONG-bias +1 scoring bonus
- Derived from pr0br000's Arena Weeks 2-3 pattern analysis
License
MIT — Built by Senpi (https://senpi.ai). Source: https://github.com/Senpi-ai/senpi-skills