AGENT SKILL

whale-index

Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.

License 许可
Apache-2.0
最近更新
2026-07-02
Stars
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Forks
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01 前言 Front Matter

name
whale-index
license
Apache-2.0
metadata
{ "author": "jason-goldberg", "version": "1.0", "exchange": "hyperliquid", "platform": "senpi" }
description
Auto-mirror top Discovery traders on Hyperliquid. Scans top 50 traders, scores on PnL rank (35%), win rate (25%), consistency (20%), hold time (10%), drawdown (10%). Creates 2-5 mirror strategies with overlap checks. Daily rebalance with 2-day watch period before swaps. Use when setting up trader mirroring, copy trading, or portfolio auto-rebalancing based on Discovery leaderboard performance.
compatibility
Requires mcporter (configured with Senpi auth) and cron for daily monitoring.

02 资源文件 3

03 SKILL.md 正文

Whale Index — Auto-Mirror Top Discovery Traders

Scan the Discovery leaderboard, score traders, create mirror strategies, and rebalance daily. Set your risk level and budget — the agent handles selection, allocation, monitoring, and swaps.

Skill Attribution

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


5-Step Flow

Step 1: Onboard the User

Collect: budget, risk tolerance (conservative/moderate/aggressive).

Budget Slots
$500-$2k 2
$2k-$5k 3
$5k-$10k 4
$10k+ 5

Risk mapping:

Risk Allowed Labels Max Leverage
Conservative ELITE only 10x
Moderate ELITE, RELIABLE 15x
Aggressive ELITE, RELIABLE, BALANCED 25x

Step 2: Discover Traders

2a. Pull candidates: discovery_top_traders(limit=50, timeframe="30d")

2b. Hard filters:

  • Consistency label matches risk level
  • Risk label matches risk level
  • Min 30d track record
  • Not already in user's portfolio

2c. Score remaining candidates:

score = 0.35 × pnl_rank + 0.25 × win_rate + 0.20 × consistency + 0.10 × hold_time + 0.10 × drawdown

All components normalized 0-100.

2d. Overlap check: Compare active positions across selected traders. Flag >50% position overlap.

2e. Allocation weighting: Score-weighted allocation with 35% cap per slot. Re-normalize after capping.

Step 3: Present & Confirm

Show the user: trader address, rank, labels, win rate, allocation amount. Wait for approval before executing.

Step 4: Execute

For each slot:

  1. Create mirror strategy via strategy_create_mirror
  2. Set strategy-level stop loss (-10% conservative, -15% moderate, -25% aggressive)
  3. Confirm mirroring is active

Step 5: Daily Monitoring (Cron)

See references/daily-monitoring.md for the complete daily check procedure, swap criteria, and rebalance logic.

Swap criteria (ALL must be true):

  1. Degraded: dropped below rank 50 OR consistency fell OR inactive 48h+ OR drawdown 2× historical
  2. Sustained: WATCH status for 2+ consecutive days (tracked via watchCount)
  3. Better alternative: replacement scores ≥15% higher
  4. User's strategy-level SL not hit

Key principle: The 2-day watch period prevents churn from temporary dips.

Teardown

To exit: close all mirror strategies, return funds to main wallet.

API Dependencies

  • discovery_top_traders — trader leaderboard
  • strategy_create_mirror — create mirror strategy
  • strategy_get_clearinghouse_state — check positions
  • strategy_close_strategy — teardown

Fee Estimates

Mirror strategies incur the same trading fees as the mirrored trader's activity. Budget ~0.5-1% daily in fees for active traders.

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