Top ai crypto

Screening Filters

1. market_cap >= 100,000,000

• Purpose: Focus on established, investable crypto assets rather than tiny, illiquid tokens.
• Rationale: For “top AI crypto assets,” market cap helps narrow the list to projects that are larger, more recognized, and generally more relevant in the AI/crypto category.

2. turnover_24h >= 1,000,000

• Purpose: Ensure the asset is actively traded.
• Rationale: High turnover indicates real market participation and makes it more likely the asset is currently attracting attention, which is important when screening for leading AI-related crypto names.

3. dollar_volume_24h >= 1,000,000

• Purpose: Confirm sufficient liquidity in dollar terms.
• Rationale: This filter helps exclude thinly traded tokens and highlights assets that can be bought and sold more easily, which is especially useful when identifying the most relevant AI crypto assets.

4. moving_average_relationship: PriceAboveMA20 / PriceCrossAboveMA20

• Purpose: Identify assets with recent bullish price action.
• Rationale: If the price is above the 20-day moving average or just crossing above it, the asset is showing short-term strength. That helps surface AI crypto assets that are not only relevant by theme, but also currently performing well.

5. price_change_pct_24h >= 0

• Purpose: Keep assets that are flat or positive over the last day.
• Rationale: This avoids names in immediate short-term decline and favors AI crypto assets with at least some current positive momentum.

6. week_price_change_pct >= 0

• Purpose: Require non-negative performance over the past week.
• Rationale: This helps select AI crypto assets that have maintained recent strength rather than just spiking for a single day.

7. month_price_change_pct >= 0

• Purpose: Screen for assets with positive or stable medium-term momentum.
• Rationale: A positive monthly trend is a useful sign that the asset has broader market interest, not just a very short-lived move.

8. is_trending = True

• Purpose: Prioritize assets currently attracting market attention.
• Rationale: Since the user asked for the “top” AI crypto assets, trending names are more likely to be the ones the market is actively discussing and trading right now.

Why These Filters Work Together

• The market cap and liquidity filters make sure the results are meaningful, tradable, and not just low-quality microcaps.
• The price and moving-average filters bias the screen toward assets with positive momentum, which is useful for identifying leaders in the AI crypto segment.
• The trending filter adds a relevance layer, helping surface assets that are currently in focus.

Why Results Match the User’s Query

• The user asked for top AI crypto assets, which implies a desire for the most prominent and currently relevant names in the category.
• These filters are designed to return large, liquid, actively traded, and trending crypto assets with positive recent price action—a strong proxy for “top” AI-related crypto projects.