sheep-strategy

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SHEEP v1.0.0 — Long-Only Triple-EMA-Stacked Trend. Fires LONG only when the fast EMA is above the slow EMA on ALL THREE timeframes (15m + 1h + 4h) for an asset in BTC/ETH/SOL/HYPE. Never shorts. A triple-timeframe stack is a visual rule a beginner can sanity-check on any chart. Onboarding tier. Balanced DSL.

Senpi-ai By Senpi-ai schedule Updated 6/2/2026

name: sheep-strategy description: >- SHEEP v1.0.0 — Long-Only Triple-EMA-Stacked Trend. Fires LONG only when the fast EMA is above the slow EMA on ALL THREE timeframes (15m + 1h + 4h) for an asset in BTC/ETH/SOL/HYPE. Never shorts. A triple-timeframe stack is a visual rule a beginner can sanity-check on any chart. Onboarding tier. Balanced DSL. license: MIT metadata: author: jason-goldberg version: "1.0.0" platform: senpi exchange: hyperliquid requires: - senpi-trading-runtime>=1.1.0 - senpi_runtime_helpers


🐑 SHEEP v1.0.0 — Long-Only Triple-EMA-Stacked Trend

Buy crypto only when it's clearly going up across every timeframe. Sheep fires LONG only when the fast EMA is above the slow EMA on all three timeframes (15m + 1h + 4h). Never shorts. Removes the "what's a short?" cognitive load.

Why this strategy exists

Most trend agents in the fleet pick a single timeframe (Beaver/Heron/Hummingbird → 4h; Hawk → 7d breakout; Salamander → 4h pullback). Sheep insists on agreement across three timeframes before firing — a stricter filter, fewer trades, but each is "obviously up" by any chart reader's standard. For beginners who want a long-only trend follower without learning what shorts are, Sheep is the answer.

CRITICAL RULES

RULE 1: Triple stack OR nothing

For each whitelisted asset, the producer checks ema(fast) > ema(slow) on 15m, 1h, AND 4h. By default it requires all three (minStackedFrames: 3). One timeframe stacked is not enough.

RULE 2: LONG only

Sheep never shorts. The LLM gate hard-skips any non-LONG direction (defensive).

RULE 3: Score boosts from spread magnitude + SM

Score = 3 (base, full stack) + bonuses for wider 4h spread (≥1%), wider 1h spread (≥0.5%), and SM aligned LONG (≥55%, +1 strong if ≥70%). Floor minScore: 4 so a clean spread or SM agreement clears.

RULE 4: Producer enters. DSL exits.

No close_position call site. DSL is the balanced preset — max_loss 12%, 72h hard_timeout, weak_peak_cut enabled at 6h/3% so flat-but-fading trends get cut. Trends extend; Sheep participates in extension while protecting against reversal.

How Sheep scores a trade

Gate: triple stack confirmed (stack_score >= minStackedFrames).

Score components (max ~8):

Signal Points
Full triple-stack (gate-confirmed) +3
4h fast/slow spread ≥ 1% +1
1h fast/slow spread ≥ 0.5% +1
SM LONG ≥ smTiltMinPct (55%) +1
SM LONG ≥ smStrongTiltPct (70%) +1

Floor: minScore: 4.

DSL preset (balanced — trend-tuned)

Phase Component Setting
Phase 1 max_loss_pct 12%
Phase 1 retrace_threshold 8
Time cuts hard_timeout 72h
Time cuts weak_peak_cut 6h / 3.0
Time cuts dead_weight_cut DISABLED
Phase 2 T0 → T4 +8/0 · +15/40 · +25/60 · +40/75 · +70/85

Scanner pattern

Archetype #4 (Multi-asset whitelist) — see senpi-trading-runtime/references/producer-patterns.md. Primary MCP calls: market_get_asset_data(candle_intervals=["15m","1h","4h"]) per asset, leaderboard_get_markets (SM bonus). The pure functions (ema, is_stacked_bullish, stack_score, fast_slow_spread) are unit-tested in tests/test_signal.py.

Operator install

See README.md.

Changelog

v1.0.0 (2026-05-28) — initial release

First fleet agent to require multi-timeframe agreement before any trade fires. Long-only by design (no short logic, no LLM-gate short branch). Standard balanced DSL with weak_peak_cut so stalled trends get cut. Unit-tested pure functions (EMA convergence, stack score, fast/slow spread sign).

License

MIT — Copyright 2026 Senpi (https://senpi.ai).

Skill Attribution

When creating a strategy, include skill_name and skill_version. See references/skill-attribution.md.

Install via CLI
npx skills add https://github.com/Senpi-ai/senpi-skills --skill sheep-strategy
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