Top 10 etfs to purchase
Intellectia 3 candidates
Customize Free Screener
Our AI identifies and quantifies criteria, auto-filters ranges to match intent, and displays conditions, parameters, and results below, with 3 candidates fitting the screener.
Filters & Rationale
Screening Filters & Rationale
Weekly Average Turnover (Min: $1,000,000):
- Purpose: To ensure sufficient liquidity for easy buying and selling of ETFs.
- Rationale: High turnover indicates strong market activity, reducing the risk of price slippage during trades.
Year Price Change Percentage (Min: 10%):
- Purpose: To identify ETFs with strong recent performance.
- Rationale: A positive price change reflects growth potential and aligns with capital appreciation goals.
Expense Ratio (Max: 0.2%):
- Purpose: To minimize costs and maximize net returns.
- Rationale: Lower expense ratios ensure that more of the investment's returns are retained by the investor.
Annual Dividend Yield (Min: 5%):
- Purpose: To prioritize ETFs that provide consistent income.
- Rationale: A high dividend yield supports income-focused investment strategies.
This list is generated based on data from one or more third party data providers. It is provided for informational purposes only by Intellectia.AI, and is not investment advice or a recommendation. Intellectia does not make any warranty or guarantee relating to the accuracy, timeliness or completeness of any third-party information, and the provision of this information does not constitute a recommendation.
Frequently Asked Questions
How does the screener result generated?
This is a natural language screener issue. Our AI identifies and quantifies criteria, auto-filters ranges to match intent, and displays conditions, parameters, and results below, with 3 candidates fitting the screener.
Which symbols are included in the screener of top 10 etfs to purchase
The list includes top performers like Franklin FTSE Brazil ETF (FLBR), Franklin FTSE Latin America ETF (FLLA), iShares MSCI Japan Value ETF (EWJV), among others. These stocks are representative examples from the screener results.