# Technical Analysis Library
A Python library for financial market analysis, offering comprehensive insights through technical indicators, oscillators, moving averages, and market recommendations. Ideal for traders and analysts working with stocks, crypto, and forex.
---
## Features
### 1. Oscillators
- RSI (Relative Strength Index)
- Stochastic K
- CCI (Commodity Channel Index)
- ADX (Average Directional Index)
- AO (Awesome Oscillator)
- MOM (Momentum)
- MACD (Moving Average Convergence Divergence)
- StochRSI (Stochastic RSI)
- Williams %R
- BB Power (Bollinger Bands Power)
- UO (Ultimate Oscillator)
### 2. Moving Averages
- SMA (Simple Moving Averages) - 10, 20, 30, 50, 100, 200 periods
- EMA (Exponential Moving Averages) - 10, 20, 30, 50, 100, 200 periods
- Ichimoku Cloud
- VWMA (Volume Weighted Moving Average)
- Hull MA (Hull Moving Average)
### 3. Market Recommendation
- Summarizes BUY, SELL, and NEUTRAL signals for decision-making.
### 4. Intervals
1m — 1 minute
2m — 2 minutes
5m — 5 minutes
15m — 15 minutes
30m — 30 minutes
60m — 1 hour
90m — 1.5 hours
1d — 1 day
5d — 5 days
### 5. Instructions
from technical_analysis import TA_Calculation
test = TA_Calculation(symbol="INFY.NS", interval="1d")
print(test.technical_analysis())
---
## Installation
```bash
pip install technical-analysis-sagar
Raw data
{
"_id": null,
"home_page": "https://github.com/sagar9187/technical_analysis",
"name": "technical-analysis-sagar",
"maintainer": null,
"docs_url": null,
"requires_python": ">=3.7",
"maintainer_email": null,
"keywords": "technical-analysis finance trading stock-market crypto forex patterns indicators",
"author": "Sagar Jadhav",
"author_email": "jadhavsagar750@gmail.com",
"download_url": "https://files.pythonhosted.org/packages/d3/5f/8cfe953f7194099141426421988bd40127acedc55a71cb5bec7c0b31ff92/technical_analysis_sagar-0.2.0.tar.gz",
"platform": null,
"description": "# Technical Analysis Library\n\nA Python library for financial market analysis, offering comprehensive insights through technical indicators, oscillators, moving averages, and market recommendations. Ideal for traders and analysts working with stocks, crypto, and forex.\n\n---\n\n## Features\n\n### 1. Oscillators\n- RSI (Relative Strength Index)\n- Stochastic K\n- CCI (Commodity Channel Index)\n- ADX (Average Directional Index)\n- AO (Awesome Oscillator)\n- MOM (Momentum)\n- MACD (Moving Average Convergence Divergence)\n- StochRSI (Stochastic RSI)\n- Williams %R\n- BB Power (Bollinger Bands Power)\n- UO (Ultimate Oscillator)\n\n### 2. Moving Averages\n- SMA (Simple Moving Averages) - 10, 20, 30, 50, 100, 200 periods\n- EMA (Exponential Moving Averages) - 10, 20, 30, 50, 100, 200 periods\n- Ichimoku Cloud\n- VWMA (Volume Weighted Moving Average)\n- Hull MA (Hull Moving Average)\n\n### 3. Market Recommendation\n- Summarizes BUY, SELL, and NEUTRAL signals for decision-making.\n\n### 4. Intervals\n1m \u2014 1 minute\n2m \u2014 2 minutes\n5m \u2014 5 minutes\n15m \u2014 15 minutes\n30m \u2014 30 minutes\n60m \u2014 1 hour\n90m \u2014 1.5 hours\n1d \u2014 1 day\n5d \u2014 5 days\n\n\n\n### 5. Instructions\nfrom technical_analysis import TA_Calculation\n\ntest = TA_Calculation(symbol=\"INFY.NS\", interval=\"1d\")\nprint(test.technical_analysis()) \n\n\n\n---\n\n## Installation\n```bash\npip install technical-analysis-sagar\n",
"bugtrack_url": null,
"license": null,
"summary": "A comprehensive Python library for technical analysis of financial markets",
"version": "0.2.0",
"project_urls": {
"Homepage": "https://github.com/sagar9187/technical_analysis"
},
"split_keywords": [
"technical-analysis",
"finance",
"trading",
"stock-market",
"crypto",
"forex",
"patterns",
"indicators"
],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "01197d4f06af2918c0172f4379c2846d4023d4be5a3989aa6278b9753bc1540e",
"md5": "bd593fffc7dd253d4fdb1acba8870e3a",
"sha256": "800b3d6189027f5fd220fb019df5e1bfb14a28b595bda5c03788da99be90a9c7"
},
"downloads": -1,
"filename": "technical_analysis_sagar-0.2.0-py3-none-any.whl",
"has_sig": false,
"md5_digest": "bd593fffc7dd253d4fdb1acba8870e3a",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": ">=3.7",
"size": 7563,
"upload_time": "2024-11-19T14:29:47",
"upload_time_iso_8601": "2024-11-19T14:29:47.004019Z",
"url": "https://files.pythonhosted.org/packages/01/19/7d4f06af2918c0172f4379c2846d4023d4be5a3989aa6278b9753bc1540e/technical_analysis_sagar-0.2.0-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "d35f8cfe953f7194099141426421988bd40127acedc55a71cb5bec7c0b31ff92",
"md5": "3227c35227a542569aae22fd0ce3f6e8",
"sha256": "73814df02cb1f22fb3411be8ae9ebc6755336575dada4c331cff9fa0a0d3cd41"
},
"downloads": -1,
"filename": "technical_analysis_sagar-0.2.0.tar.gz",
"has_sig": false,
"md5_digest": "3227c35227a542569aae22fd0ce3f6e8",
"packagetype": "sdist",
"python_version": "source",
"requires_python": ">=3.7",
"size": 7293,
"upload_time": "2024-11-19T14:29:49",
"upload_time_iso_8601": "2024-11-19T14:29:49.255793Z",
"url": "https://files.pythonhosted.org/packages/d3/5f/8cfe953f7194099141426421988bd40127acedc55a71cb5bec7c0b31ff92/technical_analysis_sagar-0.2.0.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2024-11-19 14:29:49",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "sagar9187",
"github_project": "technical_analysis",
"travis_ci": false,
"coveralls": false,
"github_actions": false,
"lcname": "technical-analysis-sagar"
}