h-v3-mcp-engine

To generate crypto trading signals, this tool fetches historical K-line data from OKX and computes indicators like RSI, MACD, and Bollinger Bands. It then applies a multi-factor scoring system integrating trend strength, momentum, and volatility to output actionable buy, sell, or hold signals.

Calculating RSI and MACD for algorithmic trading is handled by Python scripts utilizing numpy and pandas. The engine fetches market data, performs strict data validation, and computes these indicators alongside the Hurst exponent to produce multi-factor trading signals.

Yes, you can analyze BTC price movements on a 4-hour chart by running the provided Python scripts. The engine specifically supports scanning specified symbols and timeframes to compute technical market indicators and generate detailed trading signals.

Yes, this technical analysis tool requires numpy and pandas as dependencies. These Python libraries are essential for fetching market data, calculating indicators like Bollinger Bands, and executing the multi-factor scoring logic for trading signals.

Real-time technical indicators work with automated trading bots by continuously fetching live market K-line data to compute metrics like RSI and MACD. The engine then outputs multi-factor trading signals that bots can use for automated decision-making.

A limitation of using multi-factor scoring for crypto market data is the strict adherence to data validation and safety standards, which may restrict signal generation if historical K-line data is incomplete or fails validation checks.