starchild-ai-agent/@2405/sol-scalper
2405/sol-scalper/SKILL.md
SOL 15M scalping strategy for Hyperliquid. Includes 9/21 EMA crossover, 1H EMA + VWAP filters, order block detection, funding rate gate, 200 EMA regime filter, RSI smoothing, and 1% risk / 1-2x leverage position sizing. Deploys a live alert task that fires every 15 minutes. Use when the user wants to run or install the SOL scalping strategy.
devops
Updated Apr 20, 2026
$ install --global
skillsauthnpx skillsauth add starchild-ai-agent/community-skills @2405/sol-scalperInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- @2405/sol-scalper
- version:
- 1.1.0
- description:
- SOL 15M scalping strategy for Hyperliquid. Includes 9/21 EMA crossover, 1H EMA + VWAP filters, order block detection, funding rate gate, 200 EMA regime filter, RSI smoothing, and 1% risk / 1-2x leverage position sizing. Deploys a live alert task that fires every 15 minutes. Use when the user wants to run or install the SOL scalping strategy.
- author:
- starchild
- tags:
- [trading, scalping, solana, hyperliquid, alerts, strategy]
- emoji:
- ⚡
- skillKey:
- sol-scalper
- user-invocable:
- true
SOL 15M Scalping Strategy — Hyperliquid
A fully backtested, production-ready scalping strategy for SOL-PERP on Hyperliquid. Deploys a live 15-minute signal alert with all filters pre-wired.
Strategy Performance (52-day backtest)
- Win rate: 63.6% (with all filters)
- Profit factor: 1.96
- Net P&L: +8.68%/month
- Trades/month: ~22
What's Included
| Component | Detail | |-----------|--------| | Signal | 9/21 EMA crossover on 15M | | Trend filter | 50 EMA structural bias | | Regime gate | 200 EMA — longs above, shorts below only | | Momentum | RSI smoothed (5-MA) — zone 45–65 long / 35–55 short | | Volume | 1.3× avg volume spike required | | Macro filter | 1H EMA50 alignment | | Intraday filter | VWAP (daily reset) | | Order blocks | Bullish/bearish OB detection + confluence flag | | Funding rate | Skip longs when funding > +0.01%/hr | | Sizing | 1% risk / 1–2x leverage / TP1 at 1.5R / TP2 at 2.5R |
Installation
Run the setup script to deploy the live alert task:
python3 skills/sol-scalper/scripts/setup_alert.py
This will:
- Register a scheduled task (every 15 minutes)
- Deploy the signal monitor script
- Activate the task — alerts fire immediately
Alert Output Format
Each alert includes:
- Direction (LONG/SHORT) + signal type (full crossover vs OB watch zone)
- Entry price, stop loss, TP1, TP2
- All indicator values with pass/fail status
- Order blocks nearest to price
- Funding rate + open interest
- Position sizing formula for your account size
Signal Types
Full Signal — All conditions met. Highest conviction. Enter now.
📡 SOL 15M SCALP — 🟢 LONG SIGNAL
OB Watch Zone — No crossover yet but price is inside an order block with other conditions aligned. Stand by — crossover incoming or structure is setting up.
📡 SOL 15M SCALP — OB WATCH ZONE ⚡
Silent — No setup. Nothing printed, no push sent.
Entry Rules
Long: 9 EMA crosses above 21 EMA + price > 50 EMA + price > 200 EMA + RSI_smooth 45–65 + 1H EMA bullish + price > VWAP + volume spike Short: Mirror — 9 crosses below 21 + price < 50 EMA + price < 200 EMA + RSI_smooth 35–55 + 1H EMA bearish + price below VWAP + volume spike
Risk Rules
- Risk 1% of account per trade
- Leverage 1–2x max
- Close 50% at TP1, move SL to breakeven
- Close remaining at TP2 or EMA cross reversal
- If -2% in a session: stop trading for the day
Indicators That Were Tested and Rejected
- OBV — lagging, kills win rate (-15%)
- Bollinger Bands — mean-reversion tool, fights momentum signals
- ATR dynamic stops — widens stops, hurts R:R
- StochRSI alone — best win rate in isolation but too many good trades filtered
- 30M timeframe — too slow, enter after the move already happened
Files
scripts/setup_alert.py— Deploys the live alert task end-to-endscripts/signal_monitor.py— The core signal logic (run standalone or via task)references/backtest_notes.md— Full backtest methodology and filter comparison results
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