tickersnap

Tickersnap

Python Library for Indian Stock Market Analysis 📈

| Documentation | Features | Quick Start |

Tickersnap provides streamlined access to comprehensive Indian stock market data from www.tickertape.in, enabling powerful financial analysis, automated screening, and market sentiment tracking.

[!IMPORTANT]

• This library heavily relies on the (unofficial) public APIs from Tickertape IN.
• I am not affiliated with Tickertape.in in any way.
• Tickertape had been my go to for stock analysis tool for like forever!
• and I am greatful to them for the work they do!

[!WARNING]

• All data are for informational purposes only and should not be considered as financial advice.
• Always consult qualified financial advisors before making investment decisions.
• I am not an expert in finance.
• I am not responsible for how one uses this library, the consequences, or financial outcomes of using it.

✨ Key Features

• 📊 Complete Market Coverage - Access 5,000+ stocks and 270+ ETFs from Indian exchanges
• 🎯 Stock Scorecard Analysis - 6-category evaluation (Performance, Valuation, Growth, Profitability, Entry Point, Red Flags)
• 📈 Market Mood Index (MMI) - Real-time sentiment tracking with Fear/Greed zones
• ⚡ High Performance - Concurrent processing with progress tracking for large datasets
• 🛡️ Robust & Reliable - Comprehensive error handling and extensive test coverage
• 🔧 Developer Friendly - Clean APIs with intuitive method names and comprehensive documentation

🛠️ Requirements

• Python 3.10+

🚀 Quick Start

Installation

pip install tickersnap

Basic Usage

from tickersnap.mmi import MarketMoodIndex
from tickersnap.stock import StockScorecard
from tickersnap.lists import Assets

# Check market sentiment
mmi = MarketMoodIndex()
mood = mmi.get_current_mmi()
print(f"Market Mood: {mood.value:.1f} ({mood.zone.value})")

# Analyze a stock
scorecard = StockScorecard()
analysis = scorecard.get_scorecard("TCS")
if analysis.performance:
    print(f"TCS Performance: {analysis.performance.rating.value}")

# Get all stocks
assets = Assets()
all_stocks = assets.get_all_stocks()
print(f"Total stocks available: {len(all_stocks)}")

👉 Complete Quick Start Guide - Learn with real examples!

📦 Core Modules

Module	Description	Use Case
📋 Assets	Complete list of stocks & ETFs	Portfolio building, universe selection
📊 Stock Scorecard	6-category stock analysis	Investment screening, due diligence
📈 Market Mood Index	Sentiment tracking (0-100 scale)	Market timing, contrarian investing

👉 see documentation for more details! | MMI | Assets | Stocks |

💡 What You Can Build

• 📊 Stock Screeners - Find quality stocks automatically
• 📈 Portfolio Trackers - Monitor your investments daily
• 🎯 Market Alerts - Get notified of sentiment extremes
• 🔍 Research Tools - Comprehensive market analysis
• 🤖 Trading Bots - Automated analysis and signals
• 🧠 LLM Agents - Build agents to get live financial data

👉 see documentation, every module is filled with usage examples!

📄 License

Licensed under the Apache License 2.0

🤝 Contributing

Contributions are welcome!

(contribution guidelines are coming soon.)

Made with ❤️ for Fin Lovers in India