OpenAlgo indicator expert. Use when user asks about technical indicators, charting, plotting indicators, creating custom indicators, building dashboards,…
OpenAlgo Indicator Expert Skill Environment Python with openalgo, pandas, numpy, plotly, dash, streamlit, numba 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+ Numba-optimized indicators) Charts: Plotly with template="plotly_dark" Dashboards: Plotly Dash with dash-bootstrap-components OR Streamlit with st.plotly_chart() Custom indicators: Numba @njit(cache=True, nogil=True) + NumPy 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 Critical Rules
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