That will make me money now

First, an important clarification

No screen or model can guarantee stocks that “will make you money now.” What we can do is filter for AI-related stocks that currently show:

• Positive price momentum
• Strong analyst sentiment
• Reasonable size and quality

This increases the probability of finding attractive ideas, but it’s never a sure thing.

Screening Filters

1. Market Cap ≥ $5,000,000,000 (Large / Mid Cap)

   • Purpose: Focus on larger, more established companies.
   • Rationale:
     • The user wants “the best AI stocks” and to “make money now,” which usually points toward more liquid, institutionally followed names rather than tiny speculative plays.
     • Larger market cap stocks tend to have better governance, more stable business models, and better information availability, reducing some risk versus micro-caps.

2. PriceAboveMA20 (Price above 20-day moving average)

   • Purpose: Capture stocks in short-term uptrends.
   • Rationale:
     • “Make me money now” is inherently short-term oriented.
     • If the stock is trading above its 20-day moving average, it’s generally in an upward trend rather than breaking down.
     • This tilts the list toward names with current positive price action, which is more aligned with near-term gains than trying to “catch falling knives.”

3. Month Price Change % ≥ 5%

   • Purpose: Require recent positive momentum over the last month.
   • Rationale:
     • A minimum +5% in the last month filters out flat or weak names.
     • This selects AI stocks that already show buying interest and momentum, consistent with the idea of “working now,” not just long-term potential.

4. Themes: ['AI Beneficiary', 'Technology', 'Software as a Service', 'Cloud Computing', 'Big Data', 'Semiconductor Equipment & Materials', 'Electronic Components']

   • Purpose: Ensure strong exposure to the AI ecosystem.
   • Rationale:
     • “Best AI stocks” can be direct AI companies or critical enablers/beneficiaries.
     • These themes capture:
       • Direct AI beneficiaries (AI Beneficiary, SaaS, Cloud, Big Data) – software and platforms using or selling AI.
       • Hardware enablers (Semiconductor Equipment & Materials, Electronic Components) – chipmakers and suppliers that power AI workloads.
     • This broad yet focused thematic set targets the AI value chain rather than random tech names.

5. Exchanges: ['XNYS', 'XNAS', 'XASE'] (NYSE, NASDAQ, NYSE American)

   • Purpose: Restrict to major U.S. exchanges.
   • Rationale:
     • These are the primary venues for well-known, heavily traded AI-related stocks.
     • Improves liquidity and transparency, which is useful if you want to get in and out reasonably easily, consistent with a “make money now” orientation.

6. One-Month Predict Return ≥ 0

   • Purpose: Use a predictive model’s view to exclude names expected to decline in the next month.
   • Rationale:
     • A non-negative predicted one-month return aligns with the user’s desire for near-term gains.
     • While no model is perfect, this filter screens out stocks where the model sees a higher probability of near-term downside.

7. Analyst Consensus: ['Strong Buy', 'Moderate Buy']

   • Purpose: Align with the judgment of professional equity analysts.
   • Rationale:
     • “Best” often overlaps with stocks that Wall Street expects to outperform.
     • Limiting to Strong/Moderate Buy ensures:
       • Positive earnings or growth expectations
       • Generally constructive outlooks on valuation and business quality
     • This also removes names with Sell or Hold consensus, which are less likely to deliver near-term upside per analyst models.

Why These Results Match Your Request

• Thematic filters ensure all candidates are directly tied to AI or its critical infrastructure, matching “AI stocks.”
• Momentum (PriceAboveMA20, +5% 1‑month performance) and non-negative predicted 1‑month return focus the list on names already showing near-term strength, in line with “make me money now.”
• Market cap and major exchange filters push toward higher-quality, more liquid names where you can realistically trade and rely on better information.
• Analyst “Strong/Moderate Buy” consensus adds a fundamental quality and sentiment layer, consistent with “best” rather than just “hottest” or most speculative.

Together, these filters don’t guarantee profits, but they deliberately stack the odds toward larger, AI-focused companies with positive momentum and supportive analyst views that are more likely—though never certain—to perform well in the near term.