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
634,618 tools. Updated 2026-10-03 20:04
"Detecting Patterns and Conformations in Trading Charts" matching MCP tools:
- 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
- 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
- Generate candidate trading patterns from OHLCV data using LLM analysis, including entry and exit conditions for backtesting.MIT
Matching MCP Servers
image-charts-mcpofficial
AlicenseAqualityCmaintenanceAn MCP server that turns chart requests into permanent, hosted Image-Charts URLs, enabling agents to generate charts that render anywhere without client-side libraries.39 npmMIT- FlicenseNot gradedqualityBmaintenanceProvides access to self-contained, runnable implementation patterns across multiple programming languages via MCP tools for searching and retrieving documentation and code examples.-
Matching MCP Connectors
Energy-Charts (Fraunhofer ISE) MCP — European electricity generation, prices, and capacity.
Create, inspect, manage, and render charts and data visualizations as SVG/PNG or interactive embeds.
- Retrieve detailed insider profiles including trading history, average trade size, sector focus, and behavioral patterns for investment analysis.MIT
- Identify Doji candlestick patterns in Vietnamese stock charts to detect market indecision and potential trend reversals for technical analysis.-
- Fetches React UI component patterns for GDEX trading interfaces. Input a component name or category to get code for building trading UIs.MIT
- Detect unusual trading patterns in Chiliz fan tokens by flagging deviations beyond a configurable standard-deviation threshold.MIT
- Scan code for bugs, anti-patterns, and potential issues to prevent problems and improve quality.MIT
- Retrieve OHLCV candlestick data for a trading pair to analyze price trends, create charts, compute indicators, or backtest strategies.GoMIT
- Retrieve current account configuration settings for trading restrictions, margin settings, PDT checks, and options trading level.MIT
- Retrieve a list of all tokens and trading pairs on BitOasis, including each token's trading, deposit, and withdrawal status.MIT
- Compute market metrics including volume averages, volatility, SMAs, and trend direction for in-depth technical analysis of trading patterns beyond basic quotes.MIT
- Fetch Google Maps reviews authored by a specific Local Guide to check reviewer reputation, spot fake review patterns, and analyze contributor activity.MIT
- Navigate to a specific timestamp on a trading chart to review historical setups or replay past patterns.Apache 2.0
- Analyze a politician's trading activity with period-based buy/sell metrics, top traded tickers, and transaction type breakdown.MIT
- Search Noir source code across cloned repos using regex patterns to find function implementations, code patterns, and examples in .nr files.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
- Check whether a market is open, halted, or in auction by providing its market ID. Retrieve trading status and halt information without credentials.Apache 2.0