signal-analysis

Name: signal-analysis
Availability: InStock
Author: Drakkar-Software

Analyze market signals from price, volume, order flow, and news.

6.3k|1.2k|Updated Feb 23, 2018

Search Tags:#market-analysis #volume-analysis #price-action #signal-analysis #trading-opportunities #news-sentiment #order-flow

Ready to run

npx skills add https://github.com/Drakkar-Software/OctoBot --skill signal-analysis

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: signal-analysis
Source: https://github.com/Drakkar-Software/OctoBot/tree/main/packages/tentacles/Trading/Mode/ai_trading_mode/resources/skills/signal_analyst
Command: npx skills add https://github.com/Drakkar-Software/OctoBot --skill signal-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Signals across price, volume, order flow, and news data can be noisy; this skill provides a structured approach to analyze and synthesize market signals into reliable opportunities.

Core Features & Use Cases

Analyze price-action trends, volume patterns, order-flow dynamics, and news sentiment to identify actionable trading opportunities.
Fuse data from multiple sources to produce consensus signals and optional risk scores for trading decisions.
Use Case: A trader wants to spot high-probability entries when price breaks key levels with supportive volume and favorable news sentiment.

Quick Start

Analyze a live market feed to generate a concise set of actionable trading signals.

Frequently Asked Questions about signal-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I analyze market signals from price and volume data to find trading opportunities?▼

To analyze market signals, you synthesize price-action trends, volume patterns, order-flow dynamics, and news sentiment to identify actionable trading opportunities. This structured approach filters noisy data to produce reliable consensus signals for high-probability entries.

What is the best way to combine order flow and news sentiment for crypto trading?▼

Combining order flow and news sentiment involves fusing multiple data sources to produce consensus signals and optional risk scores. This synthesis handles data quality checks while processing real-time streams or historical data to generate reliable crypto trading decisions.

Can I use market signal analysis on both real-time data streams and historical market data?▼

Yes, market signal analysis is applicable to real-time data streams and historical data across crypto and traditional markets. It processes multiple data sources to identify actionable trading opportunities regardless of whether the input is live or historical.

How do I generate risk scores when fusing price action and volume patterns?▼

You generate optional risk scores by fusing price action and volume patterns with order-flow dynamics. This structured analysis produces consensus signals that integrate indicators and automated signal labeling to support trading decisions.

Does market signal analysis support integration with custom indicators and automated labeling?▼

Yes, market signal analysis supports integration with indicators, risk scoring, and automated signal labeling. It handles data quality checks across multiple data sources while synthesizing price, volume, order flow, and news into actionable opportunities.

Why should I use structured signal analysis instead of relying on raw price action alone?▼

Structured signal analysis solves the problem of noisy raw price action by synthesizing volume, order flow, and news sentiment. This approach filters market noise to produce reliable consensus signals and optional risk scores for higher-probability trading.