Master AI Finance with Fintech-Algorithms: 471 Key Trading Skills
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Master AI Finance with Fintech-Algorithms: 471 Key Trading Skills
This AI agent skill package provides comprehensive tools for financial analytics and trading strategy development using the fintech-algorithms npm package. It includes 471 zero-dependency TypeScript algorithms designed to support statistical and financial mathematics computations, technical indicators, market data analysis, and more.
What this skill does
Computes basic financial statistics such as mean, median, and percentiles to analyze market trends.
Applies risk management metrics including value at risk and Sharpe ratio to evaluate portfolio performance.
Generates technical indicators such as RSI, MACD, and Bollinger Bands for technical analysis.
Builds candlestick and chart patterns from raw data to support visual trading strategies.
Validates and cleanses market data to ensure data accuracy and reliability in trading decisions.
Constructs market breadth analysis and handles corporate action adjustments for refined market comprehension.
Offers tools for constructing indices and benchmarks essential for comparative market studies.
Facilitates market microstructure and execution analytics, including TCA, for more nuanced trading insights.
Performs credit risk analysis and probability of default estimation for financial risk assessment.
Includes on-chain metrics and earnings per share (EPS) analytics for evaluating blockchain-based assets.
Supports time series modeling for precise trend analysis over specified periods.
Who it is for
This package is designed for developers and teams using AI coding agents like Claude Code, Cursor, and Codex who require advanced financial analytics capability within their projects. It is especially beneficial for individuals engaged in quantitative finance, algorithmic trading, and fintech development.
Use cases
Analyzing price series data to compute essential market statistics.
Developing quantitative trading strategies requiring complex technical indicators and patterns.
Conducting risk management assessments and performance evaluations of financial portfolios.
Building custom market indices for comparative analysis and research purposes.
Validating and enhancing the quality of raw financial data for deeper insights.
Technical details
The skill package operates using the fintech-algorithms npm library. It requires Node.js version 22 or higher and utilizes ECMAScript Modules (ESM). The algorithms process plain arrays and objects as inputs and produce plain values as outputs, ensuring straightforward data handling and integration into existing workflows.
This provides general workflow assistance only and is not legal, tax, accounting or financial advice.
Source & Licence
This package is built on open-source work published by IslamBaraka90 (IslamBaraka90/Fintech-Algorithms-Library) and distributed under MIT. The original licence text and copyright notice are included in your download.
Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.
Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.
Delivery & Support
Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
Format: ZIP archive containing the skill files, documentation and the original licence.
Updates: updates are included only where stated on this page.
Refunds
This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.
Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.