marketcalls

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.

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).

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

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.

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

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.

OpenAlgo execution expert. Auto-loaded knowledge base for building algorithmic trading strategies that toggle between VectorBT backtest and OpenAlgo live execution. Triggers when user mentions OpenAlgo trading strategies, dual-mode strategies, /python self-hosted strategies, options execution (short straddle, iron condor), portfolio risk caps, or live execution with stop loss / target / trailing stop / risk management.

Validate a generated strategy and produce an upload guide for OpenAlgo's /python self-hosted strategy page. Confirms env-var reads, SIGTERM, stdout-only logging.

Generate options-only execution strategies (short straddle, iron condor). Backtest mode is intentionally disabled. Live mode uses optionsmultiorder + per-leg SL.

Run multiple strategies under one supervisor with portfolio-level risk caps (portfolio SL/TP, daily PnL limits, max concurrent positions). YAML-driven.

Verify a strategy's SL / TP / trailing stop / portfolio caps fire correctly. Uses OpenAlgo sandbox + synthetic price moves. Run this before going live.

Set up the Python environment for OpenAlgo execution skills - venv, openalgo[indicators], vectorbt, talib, scikit-learn, xgboost. Scaffolds strategies/ folder and .env.

Generate a single-file dual-mode trading strategy. Asks for indicator library and execution type. The same file runs `--mode backtest` (VectorBT) and `--mode live` (OpenAlgo). Upload-ready for OpenAlgo /python self-hosted.

Quick backtest a strategy on a symbol. Creates a complete .py script with data fetch, signals, backtest, stats, and plots.

VectorBT backtesting expert. Use when user asks to backtest strategies, create entry/exit signals, analyze portfolio performance, optimize parameters, fetch historical data, use VectorBT/vectorbt, compare strategies, position sizing, equity curves, drawdown charts, or trade analysis. Also triggers for openalgo.ta helpers (exrem, crossover, crossunder, flip, donchian, supertrend).

Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.

Quickly fetch data and print key backtest stats for a symbol with a default EMA crossover strategy. No file creation needed - runs inline in a notebook cell or prints to console.

Set up the Python backtesting environment. Detects OS, creates virtual environment, installs dependencies (openalgo, ta-lib, vectorbt, plotly), and creates the backtesting folder structure.

Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.

Market data retrieval with OpenAlgo - real-time quotes, historical OHLCV, market depth, option chains, WebSocket streaming, and symbol search

Options trading with OpenAlgo - single leg orders, multi-leg strategies (Iron Condor, Straddle, Strangle, Spreads), options chain analysis, and Greeks calculation

Portfolio management with OpenAlgo - funds, positions, holdings, order book, trade book, margin calculator, and account management

Technical analysis with TA-Lib - Moving averages, RSI, MACD, Bollinger Bands, Stochastic, ATR, candlestick patterns, and strategy signals using OpenAlgo market data

Core trading operations with OpenAlgo - place orders, smart orders, basket orders, split orders, and order management across 25+ Indian brokers

Data visualization with OpenAlgo - candlestick charts, options payoff diagrams, P&L dashboards, and real-time Streamlit dashboards

Build large-scale algo trading desktop apps with Electrobun. Use when creating desktop apps, trading platforms, broker integrations, market data UIs, WebSocket connections, authentication systems, or any Electrobun project. Covers architecture, security, performance, storage, RPC, and all Electrobun APIs.