technical-indicators
Technical analysis with TA-Lib - Moving averages, RSI, MACD, Bollinger Bands, Stochastic, ATR, candlestick patterns, and strategy signals using OpenAlgo market data
npx skills add majiayu000/claude-skill-registry --skill technical-indicators --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# OpenAlgo Technical Indicators Perform technical analysis using TA-Lib with OpenAlgo market data. Build trading strategies based on indicators, generate signals, and backtest ideas. ## Environment Setup ```bash # Install TA-Lib (requires system library) # macOS brew install ta-lib pip install TA-Lib # Ubuntu/Debian sudo apt-get install libta-lib-dev pip install TA-Lib # Windows # Download from https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib pip install TA_Lib‑0.4.28‑cp311‑cp311‑win_amd64.whl ``` ```python from openalgo import api import talib import pandas as pd import numpy as np client = api( api_key='your_api_key_here', host='http://127.0.0.1:5000' ) ``` ## Quick Start Scripts ### Calculate Indicators ```bash python scripts/indicators.py --symbol SBIN --exchange NSE --interval 5m --days 5 ``` ### Generate Signals ```bash python scripts/signals.py --symbol NIFTY --exchange NSE_INDEX --strategy rsi_oversold ``` ### Scan for Patterns ```bash python scripts/scanner.py --symbols RELIANCE,TCS,INFY,SBIN --exchange NSE --pattern bullish ``` --- ## Fetching Data for Analysis ```python from openalgo import api import pandas as pd client = api(api_key='your_key', host='http://127.0.0.1
- Environment Setup
- Quick Start Scripts
- Calculate Indicators
- Generate Signals
- Scan for Patterns
- Fetching Data for Analysis
- Overlap Studies (Trend Indicators)
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA)
- Bollinger Bands
- SuperTrend (Custom Implementation)
- Momentum Indicators
- Relative Strength Index (RSI)
- MACD (Moving Average Convergence Divergence)
Install TA-Lib (requires system library) macOS brew install ta-lib pip install TA-Lib Ubuntu/Debian sudo apt-get install libta-lib-dev Windows Download from https://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib pip install TA_Lib‑0.4.28‑cp311‑cp311‑win_amd64.whl python scripts/indicators.py --symbol SBIN --exchange NSE --interval 5m --days 5
What does the technical-indicators skill do?
Technical analysis with TA-Lib - Moving averages, RSI, MACD, Bollinger Bands, Stochastic, ATR, candlestick patterns, and strategy signals using OpenAlgo market data
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill technical-indicators --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.