thriving-api 1.0.1

Official Python SDK for the Thriving API - AI-powered financial analysis and trading intelligence

Thriving API Python SDK

Official Python SDK for the Thriving API - Your gateway to institutional-grade financial analysis and AI-powered trading intelligence.

🚀 Features

• AI-Powered Analysis: Get buy/sell/hold recommendations with confidence scores
• Real-Time Market Data: Live quotes, OHLC data, and market status
• Technical Indicators: 50+ technical analysis tools (RSI, MACD, Bollinger Bands, etc.)
• Company Fundamentals: Financial statements, earnings, and key metrics
• Options Data: Complete options chains with Greeks and implied volatility
• News & Sentiment: Latest news with AI-powered sentiment analysis
• Rate Limiting: Intelligent rate limiting with adaptive behavior
• Error Handling: Comprehensive error handling and retry logic
• Type Safety: Full type hints and Pydantic validation
• Async Support: Built for high-performance async applications

📦 Installation

pip install thriving-api

🔑 Authentication

Get your API key from the Thriving API Dashboard.

from thriving_api import ThrivingAPI

# Initialize client
client = ThrivingAPI(api_key="your-api-key")

🏃 Quick Start

AI-Powered Stock Analysis

import asyncio
from thriving_api import ThrivingAPI

async def analyze_stock():
    async with ThrivingAPI(api_key="your-api-key") as client:
        # Get AI analysis for Apple
        analysis = await client.ai.analyze_symbol("AAPL")
        
        print(f"Symbol: {analysis.analysis.symbol}")
        print(f"Action: {analysis.analysis.action}")  # buy, sell, or wait
        print(f"Confidence: {analysis.analysis.get_confidence_percentage():.1f}%")
        print(f"Trade Score: {analysis.analysis.trade_score:.1f}/100")
        
        if analysis.analysis.optimal_stop_loss:
            print(f"Stop Loss: ${analysis.analysis.optimal_stop_loss:.2f}")

# Run the analysis
asyncio.run(analyze_stock())

Symbol Search and Market Data

async def get_market_data():
    async with ThrivingAPI(api_key="your-api-key") as client:
        # Search for symbols
        search_results = await client.symbol.search("Apple")
        best_match = search_results.results.get_best_match()
        print(f"Best match: {best_match.symbol} - {best_match.name}")
        
        # Get live quote
        quote = await client.symbol.get_live_quote("AAPL", "1min")
        latest = quote.get_latest_quote()
        print(f"Current price: ${latest.get_close():.2f}")
        print(f"Volume: {latest.get_volume():,}")
        
        # Get performance
        performance = await client.symbol.get_performance("AAPL", "1yr")
        yearly_return = performance.get_performance_float("1yr")
        print(f"1-year return: {yearly_return:.2f}%")

asyncio.run(get_market_data())

Company Fundamentals

async def get_fundamentals():
    async with ThrivingAPI(api_key="your-api-key") as client:
        # Get company fundamentals
        fundamentals = await client.company.get_fundamentals("AAPL")
        company = fundamentals.fundamentals
        
        print(f"P/E Ratio: {company.get_pe_ratio()}")
        print(f"Market Cap: ${company.get_market_cap():,}")
        print(f"Debt/Equity: {company.get_debt_to_equity()}")
        print(f"Dividend Yield: {company.get_dividend_yield_percent():.2f}%")
        
        # Get financial strength score
        strength = company.get_financial_strength_score()
        if strength:
            print(f"Financial Strength: {strength:.1f}/100")

asyncio.run(get_fundamentals())

Technical Analysis

async def technical_analysis():
    async with ThrivingAPI(api_key="your-api-key") as client:
        # Get RSI
        rsi = await client.technical.get_rsi("AAPL", "daily", 14)
        current_rsi = rsi.get_current_signal()
        print(f"RSI Signal: {current_rsi}")
        
        # Get MACD
        macd = await client.technical.get_macd("AAPL", "daily")
        macd_signal = macd.get_current_signal()
        print(f"MACD Signal: {macd_signal}")
        
        # Get Bollinger Bands
        bbands = await client.technical.get_bollinger_bands("AAPL", "daily", 20)
        latest_bands = bbands.get_latest_bands()
        if latest_bands:
            print(f"Upper Band: ${latest_bands.get_upper_band():.2f}")
            print(f"Lower Band: ${latest_bands.get_lower_band():.2f}")

asyncio.run(technical_analysis())

📚 API Modules

The SDK is organized into specialized modules for different types of data:

🤖 AI Module (client.ai)

• analyze_symbol(symbol) - Get AI trading recommendations
• analyze_symbol_with_data(symbol, custom_data) - Enhanced analysis with custom data

📈 Symbol Module (client.symbol)

• search(query) - Search for stock symbols
• get_performance(symbol, interval) - Get performance metrics
• get_live_quote(symbol, interval) - Get real-time quotes
• get_ohlc_daily(symbol) - Get daily OHLC data
• get_news(symbol) - Get latest news and sentiment

🏢 Company Module (client.company)

• get_fundamentals(symbol) - Get financial fundamentals
• get_earnings(symbol) - Get earnings data
• get_details(symbol) - Get company profile

📊 Technical Module (client.technical)

• get_sma(symbol, interval, period) - Simple Moving Average
• get_ema(symbol, interval, period) - Exponential Moving Average
• get_rsi(symbol, interval, period) - Relative Strength Index
• get_macd(symbol, interval) - MACD indicator
• get_bollinger_bands(symbol, interval, period) - Bollinger Bands
• get_stochastic(symbol, interval) - Stochastic Oscillator
• And 40+ more technical indicators...

📋 Options Module (client.options)

• get_chain(symbol) - Get complete options chain
• get_contract_details(symbol, contract) - Get specific contract details

🏪 Market Module (client.market)

• get_status() - Get market status and trading hours

⚙️ Configuration

Rate Limiting

The SDK includes intelligent rate limiting to prevent API quota exhaustion:

client = ThrivingAPI(
    api_key="your-api-key",
    requests_per_second=30,  # Default rate limit
    burst_limit=60,          # Burst capacity
    enable_rate_limiting=True # Enable client-side limiting
)

# Check rate limit status
rate_info = client.get_rate_limit_info()
print(f"Current rate: {rate_info['current_rate']} req/sec")

Error Handling

The SDK provides comprehensive error handling:

from thriving_api import (
    ThrivingAPI, 
    AuthenticationError, 
    RateLimitError, 
    ValidationError,
    SymbolNotFoundError
)

async def handle_errors():
    try:
        async with ThrivingAPI(api_key="your-api-key") as client:
            analysis = await client.ai.analyze_symbol("INVALID")
    except AuthenticationError:
        print("Invalid API key")
    except SymbolNotFoundError as e:
        print(f"Symbol not found: {e.symbol}")
    except RateLimitError as e:
        print(f"Rate limited. Retry after: {e.retry_after} seconds")
    except ValidationError as e:
        print(f"Validation error: {e.message}")

asyncio.run(handle_errors())

Timeouts and Retries

client = ThrivingAPI(
    api_key="your-api-key",
    timeout=60.0,      # Request timeout in seconds
    max_retries=5      # Maximum retry attempts
)

📊 Response Models

All API responses are validated using Pydantic models with full type safety:

# AI Analysis Response
analysis: AIAnalysisResponse = await client.ai.analyze_symbol("AAPL")
print(analysis.analysis.action)           # Typed as Literal["buy", "sell", "wait"]
print(analysis.analysis.confidence)       # Typed as float
print(analysis.analysis.trade_score)      # Typed as float

# Symbol Search Response  
results: SymbolSearchResponse = await client.symbol.search("AAPL")
matches: List[SymbolMatch] = results.results.matches

# Technical Indicator Response
rsi: RSIResponse = await client.technical.get_rsi("AAPL", "daily", 14)
latest_rsi: Optional[RSIDataPoint] = rsi.get_latest_rsi()

🔧 Advanced Usage

Custom HTTP Client Configuration

client = ThrivingAPI(
    api_key="your-api-key",
    base_url="https://custom-api-url.com",  # Custom base URL
    timeout=120.0,                          # Extended timeout
    max_retries=10,                         # More retries
    requests_per_second=50,                 # Higher rate limit
)

Batch Operations

async def batch_analysis():
    symbols = ["AAPL", "GOOGL", "MSFT", "TSLA", "NVDA"]
    
    async with ThrivingAPI(api_key="your-api-key") as client:
        # Analyze multiple symbols concurrently
        tasks = [client.ai.analyze_symbol(symbol) for symbol in symbols]
        results = await asyncio.gather(*tasks, return_exceptions=True)
        
        for symbol, result in zip(symbols, results):
            if isinstance(result, Exception):
                print(f"Error analyzing {symbol}: {result}")
            else:
                print(f"{symbol}: {result.analysis.action} (Score: {result.analysis.trade_score:.1f})")

asyncio.run(batch_analysis())

Statistics and Monitoring

# Get client statistics
stats = client.get_stats()
print(f"Total requests: {stats['total_requests']}")
print(f"Successful requests: {stats['successful_requests']}")
print(f"Failed requests: {stats['failed_requests']}")
print(f"Rate limited requests: {stats['rate_limited_requests']}")

# Get rate limiting info
rate_info = client.get_rate_limit_info()
print(f"Available tokens: {rate_info['available_tokens']}")
print(f"Requests per minute: {rate_info['recent_requests_per_minute']}")

## 🧪 Testing

The SDK includes comprehensive test coverage. To run tests:

```bash
# Install development dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Run tests with coverage
pytest --cov=thriving_api --cov-report=html

📖 Examples

Check out the examples/ directory for more comprehensive examples:

• basic_usage.py - Basic SDK usage patterns
• ai_analysis.py - AI analysis examples
• technical_indicators.py - Technical analysis examples
• portfolio_analysis.py - Portfolio-level analysis
• options_analysis.py - Options trading examples
• news_sentiment.py - News and sentiment analysis

🤝 Contributing

We welcome contributions! Please see our Contributing Guide for details.

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

• Documentation: https://docs.tradethriving.com/api
• API Dashboard: https://tradethriving.com/api-dashboard
• Email Support: [e-mail]
• GitHub Issues: Report bugs and request features

🔗 Links

• Homepage: https://tradethriving.com
• API Documentation: https://ai.tradethriving.com/docs
• PyPI Package: https://pypi.org/project/thriving-api/
• GitHub Repository: https://github.com/thriving/thriving-api-python

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Disclaimer: This SDK is for informational purposes only and should not be considered as financial advice. Always do your own research and consult with financial professionals before making investment decisions.