openalgo-indicator-skills

Scan multiple symbols with indicator conditions. Find stocks matching RSI oversold, EMA crossovers, Supertrend signals, and custom filter combinations.

Set up the Python environment for OpenAlgo indicator analysis. Installs openalgo, plotly, dash, streamlit, yfinance, matplotlib, seaborn, and creates the project folder structure.

Set up real-time indicator computation on live WebSocket market data. Streams LTP/Quote/Depth and computes indicators in real-time with optional Plotly live charting.

Create a custom technical indicator using vectorized NumPy on top of openalgo's Rust-core ta primitives. Generates production-grade, O(n) indicator functions with charting and benchmarking.

Chart any technical indicator on a symbol using Plotly. Creates interactive dark-themed charts with candlestick, overlays, and subplots. Supports all 100+ openalgo.ta indicators.

Build a web dashboard for technical indicator analysis using Plotly Dash or Streamlit. Supports single-symbol, multi-symbol, and multi-timeframe layouts with real-time refresh.

OpenAlgo indicator expert. Use when user asks about technical indicators, charting, plotting indicators, creating custom indicators, building dashboards, real-time feeds, scanning stocks, indicator combinations, or using openalgo.ta. Also triggers for indicator functions (sma, ema, rsi, macd, supertrend, bollinger, atr, adx, ichimoku, stochastic, obv, vwap, crossover, crossunder, exrem).