RHO Signals - Live Crypto TA Engine for Openclaw

A powerful real-time technical analysis engine providing directional signals for BTC, ETH, SOL, and XRP with integrated Polymarket edge detection.

jamierossouw
v1.0.0
Feb 21, 2026
0
1.6k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install rho-signals

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install rho-signals using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is RHO Signals - Live Crypto TA Engine?

RHO Signals is a sophisticated crypto analysis tool designed for traders seeking high-confluence technical signals. By aggregating data from RSI, MACD, EMA, Bollinger Bands, and OBV divergence, it generates a directional score between -10 and +10. As one of the most data-driven Openclaw Skills, it helps traders identify bullish or bearish trends across major assets like Bitcoin and Solana, providing an analytical edge in volatile markets through multi-indicator confluence and volatility filtering.

RHO Signals - Live Crypto TA Engine Use Cases

  • Identifying high-probability entry and exit points for BTC, ETH, SOL, and XRP based on technical confluence.
  • Detecting hidden accumulation or distribution trends through OBV divergence signals.
  • Comparing TA-implied probabilities against live market odds using the unique Polymarket edge feature.
  • Filtering out market noise using ATR volatility analysis and RSI overbought/oversold levels for better directional bias.

How RHO Signals - Live Crypto TA Engine Works

  1. The skill fetches 1-hour OHLCV candle data from the Binance public API for the requested crypto assets.
  2. It processes 50 periods of lookback data across multiple indicators including MACD, EMA crosses, Bollinger Bands, and StochRSI.
  3. The engine calculates a weighted directional score from -10 to +10 based on the alignment of all indicators.
  4. It performs a Polymarket edge analysis to identify discrepancies between technical data and current market sentiment.
  5. The final output provides a specific signal score along with actionable counter-consensus alerts when TA contradicts market consensus.

RHO Signals - Live Crypto TA Engine Setup

To begin using this tool within the ecosystem of Openclaw Skills, you can invoke it directly via your AI agent interface. For developers looking for API-based access with micropayments, follow these steps:

# Example of invoking the skill via agent prompt
Use the rho-signals skill to get BTC signal

# Example of a full market scan for all supported assets
Use rho-signals to get full market scan with Polymarket edges

Note: HTTP API access via the rho-signals endpoint uses x402 payment headers, charging $0.001 USDC per signal request.

RHO Signals - Live Crypto TA Engine Data Schema & Taxonomy

The skill utilizes public exchange data and internal scoring logic to deliver structured technical signals.

Data Point Description
Asset Support BTC, ETH, SOL, XRP
Directional Score Range of -10 (Strong Bearish) to +10 (Strong Bullish)
Lookback Period 50 periods of 1-hour OHLCV candles
Technical Indicators RSI, MACD, EMA Cross, Bollinger Bands, OBV, StochRSI
Success Metric ~77.8% win rate on fresh Polymarket hourly markets

RHO Signals - Live Crypto TA Engine Advanced Features

  • Polymarket Edge Detection: Analyzes real-time discrepancies between technical indicators and live prediction market odds.
  • Counter-Consensus Alerts: Triggers specific notifications when TA indicators contradict a high market consensus (>70%).
  • ATR Volatility Filtering: Dynamically adjusts signal strength and reliability based on current market volatility.
  • Multi-Asset Scanning: Capability to scan the entire supported market simultaneously to determine overall directional bias.

SKILL.md


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