mantis-strategy（螳螂策略）

🦎 MANTIS v5.0 — Slipstream

The mantis is patience plus speed. Stillness, then strike.

What Mantis does

Mantis monitors the cross-asset flow tool every 60 seconds. When a leader (BTC, eventually ETH/SOL/HYPE) makes a significant 4h move (>2%), the tool surfaces correlated alts that *historically follow that leader* but haven't yet responded. Mantis filters those laggards by strict criteria, picks the highest-confidence one, and opens a position in the direction the leader moved — sized by confidence, with a hard timeout calibrated to the alt's typical lag distribution.

The thesis

Pure statistical edge with quantified time bounds:

• Edge: alts that follow a leader 85%+ of the time, with low timing variance, are likely to catch up after a leader move
• Timing: the alt's historical avg_lag_minutes defines the trade's window
• Exit: the catchup either happens within avg_lag × 1.5 minutes — or it doesn't happen at all
• Veto: if the leader reverses mid-position, the entire thesis is invalidated and Mantis closes immediately

Entry criteria (all must pass)

Sizing — conviction tiers

Sizing scales directly off the confidence score:

Hard cap: 8x leverage, 75% notional of available margin.

Direction

Match the leader: positive leader 4h move → LONG the laggard, negative → SHORT. Mantis never goes against the leader's direction; the entire setup is "the alt is going to catch up to where the leader is."

Exit logic

Three layers, in priority order:

1. Leader-reversal veto — every scan tick, Mantis checks the current 4h leader move vs. the leader's move at entry. If the leader has reversed by >1% from entry, Mantis closes immediately. The thesis was the leader's move; if it dies, the trade dies.
2. Dynamic hard timeout — avg_lag_minutes × 1.5, clamped to [30, 240] minutes. If the alt hasn't caught up within that window, the catchup probably isn't happening — exit.
3. DSL trail — standard Phase 1 / Phase 2 trailing logic for in-window winners:

- Phase 1 max loss: 12% - Phase 2 trail tiers: 5/30, 10/60, 15/75, 25/85 - Weak peak cut: 20 min, 1.5% min value

Risk controls

State files (persistent, survive session clears)

• state/asset-cooldowns.json — per-asset cooldown timestamps
• state/entry-log.jsonl — append-only log of every Mantis decision (STRIKE, NO_ENTRY, LEADER_REVERSAL_EXIT, DAILY_CAP_REACHED, POSITION_CLOSED_DETECTED)
• state/position-metadata.json — per-position leader/lag metadata for veto tracking

MCP tools used

• market_get_cross_asset_flows — primary signal source (the new cross-asset flow detection tool)
• strategy_get_clearinghouse_state — current positions + account value
• create_position — entry execution (called by runtime from STRIKE action)
• close_position — exit execution (called by runtime from VETO_CLOSE action or DSL)

Cron cadence

Scanner runs every 60 seconds. The cross-asset flow data itself is refreshed daily at 00:00 UTC by the hyperliquid-cross-asset-flow-cron job; Mantis just consumes the live output.

Install

mkdir -p /data/workspace/skills/mantis-strategy/{config,scripts,state}

gh repo clone Senpi-ai/senpi-skills /tmp/senpi-skills
cp -r /tmp/senpi-skills/mantis/* /data/workspace/skills/mantis-strategy/

cp /data/workspace/skills/mantis-strategy/config/mantis-config.example.json \
   /data/workspace/skills/mantis-strategy/config/mantis-config.json

# Set wallet + telegram in runtime.yaml
sed -i 's/${WALLET_ADDRESS}/<WALLET>/' /data/workspace/skills/mantis-strategy/runtime.yaml
sed -i 's/${TELEGRAM_CHAT_ID}/<CHAT_ID>/' /data/workspace/skills/mantis-strategy/runtime.yaml

openclaw senpi runtime create --path /data/workspace/skills/mantis-strategy/runtime.yaml
openclaw senpi runtime list

Status

v5.0 — initial release. Scanner is production-ready. Currently BTC-only as the leader (per the cross-asset flow tool's pre-computed lag coverage). Adding ETH/SOL/HYPE as leaders is a one-line config change in mantis_config.py once Sarvesh ships pre-computed lag data for those assets.