Nitzan Pomerantz
76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Market Analysis Example
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This example shows how to analyze market trends for a specific area,
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including price trends, market activity, and liquidity metrics.
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"""
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from nadlan_mcp.govmap import GovmapClient
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def main():
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# Initialize the client
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client = GovmapClient()
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# Address to analyze
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address = "דיזנגוף 50 תל אביב" # Dizengoff 50, Tel Aviv
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years = 3
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print(f"Analyzing market trends for: {address}")
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print(f"Period: Last {years} years\n")
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try:
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# Get deals for analysis
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deals = client.find_recent_deals_for_address(address, years_back=years, radius=100)
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if not deals:
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print("No deals found for this address")
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return
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print(f"Found {len(deals)} deals for analysis\n")
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# Calculate statistics
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stats = client.calculate_deal_statistics(deals)
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print("=== Price Statistics ===")
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print(f"Average Price: ₪{stats.mean_price:,.0f}")
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print(f"Median Price: ₪{stats.median_price:,.0f}")
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print(f"Price Range: ₪{stats.min_price:,.0f} - ₪{stats.max_price:,.0f}")
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if stats.mean_price_per_sqm:
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print(f"Avg Price/m²: ₪{stats.mean_price_per_sqm:,.0f}")
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print()
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# Market activity analysis
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activity = client.calculate_market_activity_score(deals)
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print("=== Market Activity ===")
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print(f"Activity Score: {activity.activity_score}/100")
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print(f"Activity Level: {activity.activity_level}")
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print(f"Trend: {activity.trend}")
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print(f"Deals/Month: {activity.deals_per_month:.2f}")
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print()
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# Market liquidity
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liquidity = client.get_market_liquidity(deals)
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print("=== Market Liquidity ===")
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print(f"Liquidity Score: {liquidity.liquidity_score}/100")
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print(f"Market Level: {liquidity.market_activity_level}")
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print(f"Avg Deals/Month: {liquidity.avg_deals_per_month:.2f}")
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print()
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# Investment potential
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investment = client.analyze_investment_potential(deals)
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print("=== Investment Analysis ===")
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print(f"Investment Score: {investment.investment_score}/100")
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print(f"Price Trend: {investment.price_trend}")
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print(f"Market Stability: {investment.market_stability}")
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print(f"Appreciation Rate: {investment.price_appreciation_rate:.2f}%/year")
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print()
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except ValueError as e:
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print(f"Error: {e}")
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except Exception as e:
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print(f"Unexpected error: {e}")
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if __name__ == "__main__":
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main()
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