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460,081 tools. Updated 2026-08-17 16:27

"Detecting Patterns and Conformations in Trading Charts" matching MCP tools:

  • Search the entire universe for insiders active across multiple companies. Filter by name, transaction type, or date to identify coordinated trading patterns and market-wide trends.
    MIT
  • Extract insights and trends from charts, graphs, and dashboards by analyzing data visualization images. Ideal for understanding patterns and metrics in visual data.
    Apache 2.0
  • Analyze token topology by generating dependency graphs, detecting anti-patterns, and visualizing token relationships with distribution charts and coverage matrices.
    MIT
  • Compares two QR code images pixel by pixel to identify differences in data regions or function patterns, detecting steganographic modifications.
    MIT

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Matching MCP Connectors

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  • Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.

  • Retrieve OHLCV candlestick data for a trading pair to analyze price trends, create charts, compute indicators, or backtest strategies.
    Go
    MIT
  • Retrieve a list of all tokens and trading pairs on BitOasis, including each token's trading, deposit, and withdrawal status.
    MIT
  • Search Noir source code across cloned repos using regex patterns to find function implementations, code patterns, and examples in .nr files.
    MIT
  • Compute market metrics including volume averages, volatility, SMAs, and trend direction for in-depth technical analysis of trading patterns beyond basic quotes.
    MIT
  • List auto-generated memory insights by detecting patterns across your memories. Returns a configurable number of insights.
    MIT
  • Get insider trading data with cluster buying detection and Form 4 cross-referencing. Identifies buying/selling patterns that may signal upcoming corporate actions.
    MIT
  • Define regex patterns and confidence thresholds to create custom classifiers for data types not covered by built-in classifiers, enabling tailored data classification jobs.
    GPL 3.0
  • Scans LLM output for behavioral infection from indirect prompt injection, detecting system prompt leakage, role confusion, and data exfiltration patterns.
    MIT
  • Create heatmap charts to visualize intensity patterns between two variables using Cartesian coordinates. Input data arrays to generate charts for analysis.
    MIT