Quick Start Guide¶

from enhancedtoolkits import (
    ReasoningTools,
    CalculatorTools,
    YFinanceTools
)

# Initialize tools
reasoning = ReasoningTools()
calculator = CalculatorTools()
finance = YFinanceTools()

# Basic arithmetic
result = calculator.add(10, 5)
print(f"10 + 5 = {result}")

# Financial calculation
loan_payment = calculator.calculate_loan_payment(
    principal=100000,
    annual_rate=0.05,
    years=30
)
print(f"Monthly payment: ${loan_payment}")

# Use reasoning tools
reasoning_result = reasoning.reason(
    agent_or_team=None,  # Your agent instance
    problem="Should I invest in renewable energy stocks?",
    reasoning_type="analytical",
    evidence=[
        "Government incentives for clean energy",
        "Growing market demand",
        "Technological improvements"
    ]
)
print(reasoning_result)

# Get stock information
stock_info = finance.get_current_price("AAPL")
print(f"Apple stock info: {stock_info}")

company_info = finance.get_company_information("TSLA")
print(f"Tesla company info: {company_info}")

from enhancedtoolkits import (
    ReasoningTools,
    CalculatorTools,
    YFinanceTools,
    WeatherTools
)
import json

def investment_advisor():
    # Initialize tools
    reasoning = ReasoningTools()
    calculator = CalculatorTools()
    finance = YFinanceTools()
    weather = WeatherTools()

    # Get financial data
    print("📈 Getting stock information...")
    apple_price = finance.get_current_price("AAPL")

    # Calculate investment scenarios
    print("🧮 Calculating investment scenarios...")
    future_value = calculator.calculate_future_value(
        present_value=10000,
        rate=0.07,
        periods=10
    )

    # Use reasoning for decision making
    print("🧠 Analyzing investment decision...")
    reasoning_result = reasoning.reason(
        agent_or_team=None,
        problem="Should I invest $10,000 in Apple stock?",
        reasoning_type="analytical",
        evidence=[
            f"Current Apple price data: {apple_price}",
            f"Expected future value at 7% return: ${future_value}",
            "Apple's strong market position",
            "Technology sector growth trends"
        ]
    )

    print("\n" + "="*50)
    print("INVESTMENT ANALYSIS REPORT")
    print("="*50)
    print(f"Apple Stock Info: {apple_price}")
    print(f"Future Value Projection: ${future_value}")
    print(f"Reasoning Analysis: {reasoning_result}")

if __name__ == "__main__":
    investment_advisor()

try:
    result = finance.get_current_price("INVALID_TICKER")
except Exception as e:
    print(f"Error: {e}")

# Configure tools with custom settings
finance_tool = YFinanceTools(
    enable_caching=True,
    cache_ttl=300,
    rate_limit_delay=0.1
)

# Process multiple stocks
tickers = ["AAPL", "GOOGL", "MSFT", "TSLA"]
for ticker in tickers:
    price_info = finance.get_current_price(ticker)
    print(f"{ticker}: {price_info}")