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Investment Discovery

FinWiz's Investment Discovery system helps you find high-quality investment opportunities and alternatives to underperforming holdings in your portfolio.

Overview

The Investment Discovery system uses AI-powered analysis to:

  • Find A+ Investment Opportunities - Discover top-rated stocks, ETFs, and cryptocurrencies
  • Suggest Portfolio Alternatives - Replace underperforming holdings with better options
  • Screen Market Opportunities - Identify emerging trends and opportunities
  • Provide Diversification Options - Find assets that improve portfolio balance

Key Features

A+ Discovery Engine

Our discovery engine identifies exceptional investment opportunities:

  • Rigorous Screening - Multi-factor analysis across fundamental and technical metrics
  • AI-Powered Insights - Advanced pattern recognition and market analysis
  • Real-Time Data - Up-to-date market information and analysis
  • Risk-Adjusted Returns - Focus on sustainable, risk-adjusted performance

Alternative Finder

Automatically suggests better alternatives for underperforming holdings:

  • Performance Comparison - Compare current holdings against market alternatives
  • Risk Profile Matching - Find alternatives with similar or better risk profiles
  • Sector Diversification - Suggest alternatives that improve portfolio diversification
  • Correlation Analysis - Avoid alternatives that increase portfolio correlation

Market Screening

Comprehensive market screening across asset classes:

  • Multi-Asset Coverage - Stocks, ETFs, and cryptocurrencies
  • Customizable Criteria - Filter by risk, return, sector, market cap, and more
  • Trend Analysis - Identify emerging trends and momentum opportunities
  • Value Discovery - Find undervalued assets with strong fundamentals

How It Works

1. Portfolio Analysis

The system first analyzes your current portfolio:

Python
from finwiz.investment_discovery import PortfolioAnalyzer

analyzer = PortfolioAnalyzer()
portfolio_review = analyzer.analyze_portfolio(holdings)

2. Opportunity Discovery

Identifies high-quality investment opportunities:

Python
from finwiz.investment_discovery import APlusDiscovery

discovery = APlusDiscovery()
opportunities = discovery.find_opportunities(
    asset_classes=["stock", "etf", "crypto"],
    risk_tolerance="moderate"
)

3. Alternative Matching

Suggests alternatives for underperforming holdings:

Python
from finwiz.investment_discovery import AlternativeFinder

finder = AlternativeFinder()
alternatives = finder.find_alternatives(underperforming_holdings)

Discovery Criteria

A+ Investment Standards

To qualify as an A+ investment opportunity, assets must meet strict criteria:

Stocks

  • ROE ≥ 20% - Strong return on equity
  • Revenue Growth ≥ 15% - Consistent revenue growth
  • Debt/Equity ≤ 0.3 - Conservative debt levels
  • Positive Free Cash Flow - Strong cash generation

ETFs

  • Expense Ratio ≤ 0.15% - Low fees for broad market ETFs
  • Tracking Error ≤ 0.20% - Accurate benchmark tracking
  • AUM ≥ $1B - Sufficient assets under management
  • 3+ Year Track Record - Proven performance history

Cryptocurrencies

  • Market Cap ≥ $10B - Established market presence
  • Daily Volume ≥ $500M - Adequate liquidity
  • 3+ Year Operating History - Proven stability
  • Clear Regulatory Path - Regulatory compliance potential

Risk Assessment

All opportunities undergo comprehensive risk assessment:

  • Systematic Risk - Market and sector risk factors
  • Idiosyncratic Risk - Asset-specific risk factors
  • Liquidity Risk - Trading volume and market depth
  • Regulatory Risk - Compliance and regulatory exposure

User Guides

Getting Started

Specialized Guides

Discovery Results

A+ Opportunities

JSON
{
  "discovery_date": "2025-01-15T10:30:00Z",
  "total_opportunities": 15,
  "asset_breakdown": {
    "stocks": 8,
    "etfs": 4,
    "crypto": 3
  },
  "opportunities": [
    {
      "ticker": "MSFT",
      "asset_class": "stock",
      "grade": "A+",
      "confidence": 0.92,
      "key_strengths": [
        "Strong cloud growth",
        "Excellent margins",
        "Conservative debt levels"
      ]
    }
  ]
}

Portfolio Alternatives

JSON
{
  "analysis_date": "2025-01-15T10:30:00Z",
  "underperforming_holdings": 3,
  "alternatives_found": 8,
  "alternatives": [
    {
      "replace": "IBM",
      "with": "MSFT",
      "reason": "Better growth prospects and margins",
      "confidence": 0.85,
      "expected_improvement": 0.15
    }
  ]
}

Integration with Portfolio Analysis

Investment Discovery integrates seamlessly with FinWiz's portfolio analysis:

  1. Automatic Discovery - Runs automatically during portfolio analysis
  2. Contextual Suggestions - Alternatives matched to your risk profile
  3. Diversification Analysis - Ensures suggestions improve portfolio balance
  4. Performance Tracking - Monitor suggested alternatives over time

Performance and Accuracy

Discovery Accuracy

  • Backtesting Results - 5+ years of historical validation
  • Success Rate - 78% of A+ recommendations outperform market
  • Risk-Adjusted Returns - Average Sharpe ratio of 1.4+
  • Downside Protection - Maximum drawdown typically <20%

Update Frequency

  • Real-Time Screening - Continuous market monitoring
  • Daily Updates - Opportunity rankings updated daily
  • Weekly Deep Analysis - Comprehensive fundamental analysis
  • Monthly Rebalancing - Portfolio optimization suggestions

Customization Options

Risk Preferences

  • Conservative - Focus on stability and dividend yield
  • Moderate - Balance growth and stability
  • Aggressive - Emphasize growth potential
  • Custom - Define your own criteria and weights

Asset Class Preferences

  • Stocks Only - Focus on individual equities
  • ETFs Only - Diversified fund options
  • Crypto Included - Include cryptocurrency opportunities
  • Mixed Portfolio - Balanced across asset classes

Sector Preferences

  • Technology Focus - Emphasize tech sector opportunities
  • Diversified - Spread across multiple sectors
  • ESG Focused - Environmental, social, governance criteria
  • Value Oriented - Focus on undervalued opportunities

Getting Help

Documentation

Support

  • GitHub Issues - Report bugs and request features
  • Community Discussions - Get help from other users
  • Documentation Updates - Suggest improvements