Beta TA Signal Enginev1.0.0

A retail trader uses this skill to analyze BTCUSDT price data from a CSV export, generating clear entry, stop-loss, and take-profit levels for trend-following strategies. It helps automate signal detection and risk management for manual execution on exchanges.

A quantitative analyst employs this skill to produce technical signals from historical OHLCV data, which are then fed into a backtesting framework like the ta-backtest skill. This streamlines the development and validation of trading algorithms before live deployment.

Instructors in finance courses use this skill to demonstrate real-world technical analysis concepts, such as SMA, RSI, and MACD, by generating trade setups from sample market data. It provides hands-on learning without requiring complex coding.

A portfolio manager integrates this skill to scan multiple asset CSVs for breakout or mean-reversion signals, aiding in diversification and risk-defined position sizing across a portfolio. It supports decision-making with probabilistic setups.

Developers of automated trading bots use this skill as a signal engine, parsing CSV data to output JSON signals that trigger buy/sell orders in systems like the ta-paper-executor skill. It enables modular, indicator-based automation.

Offer a free tier with basic signal generation from CSV uploads, and premium subscriptions for advanced features like real-time data integration, multiple strategy modes, and higher confidence alerts. Revenue comes from monthly user fees.

License this skill as an API to fintech companies, brokerages, or trading platforms, allowing them to embed technical analysis signals into their products. Revenue is generated through licensing fees based on usage volume or enterprise contracts.

Sell courses, e-books, or workshops that teach technical analysis, bundled with access to this skill for practical exercises. Revenue streams include course sales, tool access fees, and affiliate marketing for trading platforms.