SMA (Simple Moving Average) weights all data points equally. EMA (Exponential) gives more weight to recent prices, making it react faster to price changes.

How large can the data array be?

It can handle arrays with tens of thousands of data points instantly, limited only by the Context Window used to pass the JSON to the tool.

Is this identical to TradingView?

Yes, it uses the exact same mathematical formulas used by institutional platforms like TradingView and Bloomberg.

Moving Average Engine MCP Connector for Claude

Calculate Simple (SMA) and Exponential (EMA) moving averages exactly. Stop LLMs from estimating financial technical indicators.

1 tools Official Updated Jun 28, 2026 Official Vinkius Partner

More Details Connect to Claude

Large Language Models are notoriously bad at sequential math. If you give an LLM 100 days of stock closing prices and ask for a 14-day SMA, it will hallucinate the averages. This engine processes arrays natively in JS, computing mathematically precise Simple and Exponential Moving Averages local, giving your financial agents the reliable technical indicators they need for quantitative analysis.

technical-indicatorsquantitative-analysisstock-market-datamoving-averagefinancial-modelingtime-series-analysis

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