What stocks should I buy tomorrow

First, a quick reality check

No screen (and no analyst) can guarantee which stocks you “should buy tomorrow” or which will go up the next day. What we can do is tilt the odds in your favor by:

• Focusing on liquid, higher‑quality names
• Using models that estimate the probability and expected size of a short‑term move

The filters your colleague used are designed exactly for that: short‑term, one‑day oriented stock picking, with a bias toward the kind of large U.S. tech names you were looking at before (FANG).

Screening Filters

1. market_cap: min 10,000,000,000 (≥ $10B)

   • Purpose: Restrict the search to large‑cap companies.
   • Rationale:
     • Large caps tend to have more stable businesses and better disclosure, reducing the risk of extreme, random moves.
     • FANG‑type stocks (FAANG: Meta, Amazon, Apple, Netflix, Google) are all large‑cap, so this aligns with your previous interest.
     • Makes it more practical for “what to buy tomorrow” because you avoid tiny, easily manipulated names.

2. monthly_average_dollar_volume: min 2,000,000 (≥ $2M traded per day on average)

   • Purpose: Ensure that stocks are liquid enough to get in and out easily.
   • Rationale:
     • High dollar volume = you can trade without moving the price too much.
     • Important for short‑term trades (like “tomorrow”) so you’re not stuck in illiquid positions.
     • Filters out obscure stocks that trade only a few thousand dollars a day, which can be very risky.

3. relative_vol: min 1.2 (current volume at least 20% above normal)

   • Purpose: Focus on stocks that are more active than usual right now.
   • Rationale:
     • Elevated volume often signals catalysts (news, earnings, sector rotation) that can drive near‑term price moves.
     • For a “what to buy tomorrow” type query, you typically want names where something is happening, not sleepy, low‑interest stocks.
     • A relative volume ≥ 1.2 means the stock is trading with noticeably higher interest today versus its recent average.

4. sector: Software & IT Services, Technology, Technology Equipment, Telecommunications Services

   • Purpose: Concentrate on tech‑related sectors.
   • Rationale:
     • Your previous interest in “FANG” points clearly to large U.S. technology and internet stocks.
     • Tech often has higher growth expectations and more frequent price‑moving news, which is relevant for short‑term opportunities.
     • Telecom is included because it overlaps with certain large-cap communication/tech names and infrastructure plays.

5. region: United States

   • Purpose: Limit to U.S.‑listed companies.
   • Rationale:
     • FANG/FAANG names are all U.S.‑based.
     • U.S. markets have deep liquidity and clear trading hours, which matters when you’re planning specific “tomorrow” trades.
     • Avoids complications like foreign exchange risk, foreign market holidays, and different regulatory environments.

6. list_exchange: XNYS, XNAS, XASE (NYSE, NASDAQ, NYSE American)

   • Purpose: Restrict to major U.S. exchanges.
   • Rationale:
     • These are the primary venues for most large, reputable U.S. companies.
     • Again, consistent with FANG‑type names (primarily on NASDAQ and NYSE).
     • Filters out OTC/pink sheet listings, which are generally less liquid and riskier—undesirable if you’re asking what to buy tomorrow.

7. one_day_rise_prob: min 60 (≥ 60% model probability of rising tomorrow)

   • Purpose: Use a predictive model to favor stocks that have a higher estimated chance of closing up the next day.
   • Rationale:
     • Directly addresses your “tomorrow” timing: this is a one‑day horizon signal.
     • A 60% threshold doesn’t mean certainty; it just means the model thinks the odds are better than a coin flip.
     • Helps narrow the list to candidates where the short‑term setup, based on historical patterns and current data, looks constructive.

8. one_day_predict_return: min 0.8 (≥ +0.8% expected return tomorrow)

   • Purpose: Require not just a high probability of going up, but also a meaningful size of move.
   • Rationale:
     • A stock that’s 60% likely to go up by 0.1% is less interesting than one that’s 60% likely to go up by ~1%.
     • A minimum expected return of 0.8% focuses on trades with a more attractive risk/reward for a single day.
     • Complements the probability filter: you want both decent odds and worthwhile upside.

Why the Results Match Your Request

• Aligned with your prior interest in FANG:
  The sector, market cap, region, and exchange filters collectively steer the screen toward FANG‑like U.S. large‑cap tech names, which you previously asked about.

• Tailored to “tomorrow” timing:
  The one_day_rise_prob, one_day_predict_return, and relative_vol filters all focus specifically on short‑term dynamics—liquidity, unusual activity, and model‑estimated next‑day movement—rather than long‑term investing factors.

• Practical and tradeable:
  The market cap and liquidity filters ensure that any names surfaced by this screen are actually realistic to buy and sell in size tomorrow, not just theoretical ideas.

In short, these filters are trying to find liquid U.S. tech‑oriented large caps that are unusually active now and have a statistically better‑than‑average chance (and magnitude) of rising tomorrow, which is the closest realistic answer to “what stocks should I buy tomorrow?” without pretending to offer guarantees.