Indian Algo Trading Data Actor 🇮🇳📈

A comprehensive Apify actor for collecting Indian stock market data and generating trading signals using advanced analytical models. Perfect for algorithmic trading, market research, and investment decision-making.

🎯 What Makes This Special

• 📊 11 Data Sources: Complete market coverage from indices to news
• 🤖 8 Trading Models: Advanced signal generation algorithms
• 💰 Pay-Per-Event: Fair pricing - only pay for successful data collection
• ⚡ Real-time Processing: Live market data with instant signal generation
• 🎛️ Flexible Configuration: Choose exactly what data and models you need

📊 Available Data Sources

Data Type	Description	Use Case
📈 Market Indices	Nifty, BankNifty, Finnifty, Sensex	Market overview
📊 Options OI	Open Interest data per index	Options trading
💰 FII/DII Flow	Institutional investor activity	Smart money tracking
😊 Market Sentiment	Market mood indicators	Sentiment analysis
📊 Sentiment Indices	Fear & Greed + MMI	Comprehensive sentiment
💵 Earnings Data	Company quarterly results	Fundamental analysis
📅 Economic Events	Global economic calendar	Macro analysis
🏢 Corporate Actions	Splits, dividends, bonuses	Event trading
🌍 International Markets	US/European market data	Global correlation
📰 News Articles	Indian financial news	News sentiment
🌍 International Sentiment	Global Fear & Greed	World market mood

🤖 Trading Models & Signals

1. Momentum Model 🚀

• Strategy: Price momentum + volume analysis
• Signals: BUY/SELL based on price movement and FII flow
• Best for: Trend following strategies

2. Mean Reversion Model 🔄

• Strategy: Identifies overbought/oversold conditions
• Signals: BUY at extreme fear, SELL at extreme greed
• Best for: Contrarian trading strategies

3. Options Flow Model 📊

• Strategy: OI data + FII/DII flow analysis
• Signals: Based on Put/Call ratio and institutional activity
• Best for: Options trading strategies

4. News Sentiment Model 📰

• Strategy: News sentiment analysis with confirmation
• Signals: BUY/SELL based on news sentiment trends
• Best for: Event-driven trading

5. Volatility Model ⚡

• Strategy: VIX-based volatility analysis
• Signals: BUY at high VIX (panic), SELL at low VIX (complacency)
• Best for: Volatility trading and risk management

6. Regime Detection Model 🔄

• Strategy: Identifies market regimes (Bullish, Bearish, High Volatility, Event Driven)
• Signals: BUY/SELL/CAUTION based on market regime classification
• Best for: Market state awareness and adaptive strategies

7. Anomaly Detection Model ⚠️

• Strategy: Detects unusual market patterns and potential opportunities/risks
• Signals: BUY/SELL/WATCH for price spikes, volume anomalies, OI buildup
• Best for: Risk management and opportunity identification

8. Consensus Model 🎯

• Strategy: Combines all models for high-confidence signals
• Signals: Only generates signals with multiple model confirmation
• Best for: Conservative, high-accuracy trading

📋 Input Parameters

Required

• dataMode - Data collection mode: realtime, historical, or specificDate
• dataTypes - Array of data types to collect (indices, oiData, fiiDii, sentiment, etc.)
• indices - Array of indices to track (NIFTY, BANKNIFTY, FINNIFTY, SENSEX)

Optional

• startDate / endDate - Date range for historical mode
• specificDate - Single date for specific day analysis
• enableModels - Enable trading model processing (default: true)
• selectedModels - Choose which models to run (6 available)
• outputFormat - json or csv (default: json)
• includeRawData - Include raw API responses (default: false)

Data Modes Explained

📈 Real-time Mode (realtime)

• Current market snapshot data
• All data types available
• Best for: Live trading, real-time monitoring

📅 Historical Range Mode (historical)

• Data for a date range

• Best for: Research (when available)

🎯 Specific Date Mode (specificDate)

• Data for a single historical date

• Best for: Event analysis (when available)

🚀 Quick Start

🚀 Quick Start Examples

Basic Trading Setup

{
  "dataMode": "realtime",
  "dataTypes": ["indices", "oiData", "fiiDii", "sentiment"],
  "indices": ["NIFTY", "BANKNIFTY"],
  "enableModels": true,
  "selectedModels": ["momentum", "consensus"]
}

Comprehensive Analysis

{
  "dataMode": "realtime",
  "dataTypes": [
    "indices", "oiData", "fiiDii", "sentiment", 
    "sentimentIndices", "news", "internationalSentiment"
  ],
  "indices": ["NIFTY", "BANKNIFTY"],
  "enableModels": true,
  "selectedModels": [
    "momentum", "meanReversion", "optionsFlow", 
    "newsSentiment", "volatility", "regimeDetection",
    "anomalyDetection", "consensus"
  ]
}

Sentiment-Focused Strategy

{
  "dataMode": "realtime",
  "dataTypes": ["sentiment", "sentimentIndices", "news"],
  "indices": ["NIFTY"],
  "enableModels": true,
  "selectedModels": ["meanReversion", "newsSentiment"]
}

📤 Output Format

Market Indices Output

{
  "type": "indices",
  "dataType": "Indices",
  "timestamp": "2025-11-13T08:00:00.000Z",
  "data": {
    "fii": 1234.56,
    "skew": 0.85,
    "nifty": 65.2,
    "gold": 72.3,
    "vix": 14.5,
    "trin": 1.2
  }
}

OI Data Output

{
  "type": "oiData",
  "index": "NIFTY",
  "dataType": "OI_Data",
  "timestamp": "2025-11-13T08:00:00.000Z",
  "data": {
    "totalCallOI": 12500000,
    "totalPutOI": 15000000,
    "pcrOI": "1.20",
    "pcrVolume": "1.15",
    "underlyingValue": 19500,
    "strikeData": [...]
  }
}

FII/DII Data Output

{
  "type": "fiiDii",
  "dataType": "FII_DII_Data",
  "timestamp": "2025-11-13T08:00:00.000Z",
  "data": {
    "fii": {
      "buyValue": 5000,
      "sellValue": 4500,
      "netValue": 500
    },
    "dii": {
      "buyValue": 3000,
      "sellValue": 3200,
      "netValue": -200
    }
  },
  "analysis": {
    "fiiSentiment": "Bullish",
    "diiSentiment": "Bearish",
    "overallSentiment": "Bullish"
  }
}

💡 Use Cases

1. Algorithmic Trading

   • Real-time data for trading algorithms
   • Options strategy optimization
   • Risk management

2. Market Analysis

   • Sentiment tracking
   • Institutional flow analysis
   • Volatility monitoring

3. Research & Backtesting

   • Historical data collection
   • Pattern recognition
   • Strategy development

🔧 Technical Details

Update Frequency

• Real-time during market hours (9:15 AM - 3:30 PM IST)
• Can be scheduled to run at specific intervals

Rate Limiting

• Built-in delays between API calls
• Respects source API rate limits
• Automatic retry logic

📊 Integration with marketData

This actor uses services from the marketData codebase:

• Collectors for indices, OI, FII/DII data
• Data processors and formatters
• Utility functions for market analysis

🤖 AI Assistant Integration

Use this actor with your favorite AI assistant (Claude, ChatGPT, VS Code Copilot) to get Indian market data through natural language conversations!

🎯 What You Can Ask Your AI Assistant

"Search for cspnair/Indian-algo-trading-data actor and get market summary for NIFTY and BANKNIFTY"
"Find the cspnair/Indian-algo-trading-data actor and get support/resistance levels for NIFTY"
"Use cspnair/Indian-algo-trading-data to generate trading signals for BANKNIFTY"
"Run cspnair/Indian-algo-trading-data with market regime analysis for Indian indices"
"Execute cspnair/Indian-algo-trading-data with FII/DII flow and options data"

📊 Your AI Assistant Can Provide

• 📈 Live Market Data: Current prices, changes, volume for NIFTY, BANKNIFTY, FINNIFTY, SENSEX
• 🎯 Trading Signals: Buy/sell recommendations with confidence scores from 9 different models
• 📊 Technical Analysis: Support/resistance levels, pivot points, breakout zones
• 💰 Market Intelligence: FII/DII flow, sentiment analysis, fear & greed index
• 🔄 Market Conditions: Current market regime (bullish/bearish/volatile)
• 📰 News Impact: Latest financial news sentiment analysis

🚀 How to Use with AI Assistants

For Claude Desktop Users

1. Open Claude Desktop settings
2. Go to Developer section
3. Add this configuration:

   {
     "mcpServers": {
       "apify": {
         "url": "https://mcp.apify.com"
       }
     }
   }
   

4. Start chatting with market data!

For VS Code Copilot Users

1. Open Command Palette (Ctrl+Shift+P)
2. Run "MCP: Open User Configuration"
3. Add the same configuration above
4. Ask Copilot for market analysis

For Other AI Platforms

Use your AI assistant's MCP configuration with:

• Server URL: https://mcp.apify.com
• Authentication: OAuth (sign in with Apify account)

💡 Example Conversations

You: "What's the current market situation?"

AI: "I'll search for the cspnair/Indian-algo-trading-data actor and get the latest market data for you.

Based on the latest data:

• 📊 NIFTY: 19,850.25 (+125.50, +0.64%)
• 📊 BANKNIFTY: 44,520.80 (+220.30, +0.50%)
• 🎯 Signals: BUY on both indices (70-75% confidence)
• 💰 FII: +₹1,250 crore | DII: +₹850 crore
• 📊 Market Regime: Bullish with moderate volatility"

You: "Should I buy NIFTY right now?"

AI: "Let me run the cspnair/Indian-algo-trading-data actor with trading signal analysis for NIFTY.

Based on multiple analysis models:

• ✅ Momentum: Strong positive trend
• ✅ Support/Resistance: Above immediate resistance R1
• ✅ Sentiment: Positive market mood
• ⚠️ Caution: Near resistance levels - wait for breakout confirmation
• 🎯 Recommendation: BUY if breaks above 19,980, otherwise wait"

📚 MCP Setup Details

For Claude Desktop Users

1. Open Claude Desktop settings
2. Go to Developer section
3. Add this configuration:

   {
     "mcpServers": {
       "apify": {
         "url": "https://mcp.apify.com"
       }
     }
   }
   

4. Start chatting with market data!

For VS Code Copilot Users

1. Open Command Palette (Ctrl+Shift+P)
2. Run "MCP: Open User Configuration"
3. Add the same configuration above
4. Ask Copilot for market analysis

Bearer Token Alternative

If you prefer token authentication instead of OAuth:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

Resources

• 🌐 Official MCP Server: https://mcp.apify.com
• ⚙️ Configuration Tool: https://mcp.apify.com/

📈 Performance

• Processing Speed: 1- 5 seconds per run
• Data Points: 100+ per execution
• Accuracy: Real-time official data + 1-2 seconds execution delay
• Reliability: 99%+ uptime

💰 Pricing

Simple & Affordable Pay-Per-Use Pricing

• $0.001 per data point collected successfully
• Only pay for successful data collection - failed attempts are free
• No minimum commitments or hidden fees

🎯 What This Means in Practice

For just $1, you can get:

• ✅ 1,000 data points = Complete market analysis for weeks
• ✅ 100+ comprehensive trading runs with all data types and models
• ✅ Unlimited potential for research and analysis

🚀 Why This Pricing Works

• No upfront costs - pay only for what you use
• Scales with your needs - from casual users to professional traders
• Transparent billing - track usage in real-time
• Cancel anytime - no long-term commitments

Professional-grade market data at an affordable price! 📊💰

🔒 Security

• No API keys required for basic data
• Secure data transmission
• No data retention beyond run
• HTTPS for all API calls

⚠️ Disclaimer

IMPORTANT: This tool is for informational and educational purposes only.

🚨 Financial Risk Warning

• Not Investment Advice: All data, signals, and analysis are for informational purposes only
• High Risk: Trading in financial markets involves substantial risk of loss
• No Guarantees: Past performance does not guarantee future results
• Professional Advice: Always consult with qualified financial advisors before making trading decisions

📊 Data Limitations

• Data Accuracy: While we strive for accuracy, data may contain errors or delays
• Real-time Limitations: Real-time data may have slight delays from actual market prices
• Source Dependencies: Data availability depends on external sources and APIs
• No Liability: We are not liable for trading decisions based on this data

🤖 AI Assistant Limitations

• AI Analysis: AI-generated insights should not be considered financial advice
• Model Limitations: Trading models have limitations and may not predict all market movements
• Technical Issues: AI assistants may misinterpret data or provide incorrect analysis
• Human Oversight: Always verify AI-generated information with human analysis

⚖️ Legal & Regulatory

• Compliance: Users are responsible for complying with their local financial regulations
• No Registration: This tool is not registered with any financial regulatory authority
• User Responsibility: All trading decisions and their consequences are the user's responsibility
• Jurisdiction: Some features may not be available in all jurisdictions

📈 Best Practices

• Risk Management: Always use proper risk management techniques
• Paper Trading: Test strategies with paper trading before using real money
• Diversification: Never risk more than you can afford to lose
• Continuous Learning: Markets change - continuously educate yourself

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By using this tool, you acknowledge that you understand and accept these risks and limitations.

📞 Support

For questions, issues, or feature requests, please:

• Create an issue in the repository
• Check the documentation first
• Review the input schema for proper usage

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Built with ❤️ for the Indian trading communityBuilt for Indian Algo Traders** 🇮🇳📈