An advanced crypto contract trading scanner utilizing 5 core technical indicators across dual timeframes with real-time Telegram alerts and automated risk management.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install btc-contract-scanner
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install btc-contract-scanner using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The BTC Contract Signal Scanner is a highly sophisticated, developer-friendly tool designed for cryptocurrency traders who target futures and contract markets. By integrating 5 classic technical indicators—including dual-timeframe EMA trends, MACD long/short signals, RSI overbought/oversold levels, Bollinger Bands breakthroughs, and volume confirmation—the tool delivers accurate LONG, SHORT, or HOLD signals tailored for BTC, ETH, and SOL.
Built to withstand volatile market conditions, this Openclaw skill goes beyond basic scanning by incorporating robust features like walkforward parameter optimization and programmatic risk controls. Traders benefit from automated grid searches on EMA parameters to continuously adjust to shifting market regimes, alongside comprehensive account protection rules that limit downside exposure during high-risk events.
Get started with the crypto trading assistant via the Openclaw ecosystem. Install and execute the scanner from your command-line interface using the instructions below:
# Install the contract scanner tool from Clawhub
clawhub install btc-contract-scanner
# Run the scanner instance natively
openclaw run btc-contract-scanner
To unlock premium capabilities like walkforward optimization and Telegram pushes, contact @sgreadybot to activate your subscription ($29/month via USDT on Base or Arbitrum networks).
The skill manages indicators, optimization records, and backtesting history using a structured data model. Signal performance is continuously assessed across a 7-day rolling lookback window:
| Attribute | Description | Sample Value / Format |
|---|---|---|
| Core Assets | Monitored crypto contracts | BTC, ETH, SOL |
| Timeframes | Strategic dual-interval tracking | 1H, 4H |
| Signals | Actionable output flags | LONG, SHORT, HOLD |
| Risk Metrics | Per-trade risk cap & cooldown | ≤1% single trade risk, 24h pause on 3 consecutive stops |
| Performance Taxonomy | Operational reporting schema | Date, Direction, Entry, Exit, PnL% |
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