OpenAlgo Indicator Expert Skill

Environment

Python 3.12+ (required by openalgo 2.x) with openalgo, pandas, numpy, plotly, dash, streamlit
Data sources: OpenAlgo (Indian markets via client.history(), client.quotes(), client.depth()), yfinance (US/Global)
Real-time: OpenAlgo WebSocket (client.connect(), subscribe_ltp, subscribe_quote, subscribe_depth)
Indicators: openalgo.ta (ALWAYS — 100+ indicators computed by a compiled Rust core, full speed from the first call)
Charts: Plotly with template="plotly_dark"
Dashboards: Plotly Dash with dash-bootstrap-components (default) OR Streamlit with st.plotly_chart() — use Streamlit only when the user explicitly asks for it
Custom indicators: vectorized NumPy composed from openalgo.ta primitives (Rust core — no JIT, no warmup)
API keys loaded from single root .env via python-dotenv + find_dotenv() — never hardcode keys
Scripts go in appropriate directories (charts/, dashboards/, custom_indicators/, scanners/) created on-demand
Never use icons/emojis in code or logger output