Screening Filters
Market Cap: 300M – 20B USD
- Purpose: Focus on mid/small‑ to mid‑cap companies with enough liquidity but still capable of large percentage moves.
- Rationale:
- Very large caps (e.g., Apple, Exxon) rarely move +100–200% in a couple of months; they’re too big and stable.
- Very tiny microcaps (<300M) can move a lot, but are often illiquid, easily manipulated, and harder to trade size in and out of.
- 300M–20B is a “sweet spot” where:
- Volatility and upside potential are still high.
- There’s usually decent trading volume so you can enter/exit positions in this fake-money challenge.
Beta: HighRisk
- Purpose: Select high‑volatility (“high beta”) stocks that tend to move more than the overall market.
- Rationale:
- You explicitly said you’re comfortable being very risky to chase very high returns in 74 days.
- High‑beta stocks are more likely to have large short‑term swings (both up and down), which is what you need if you’re trying to turn ~1M into ~3M in a short window.
- This increases the chance of big gains (at the cost of a much higher risk of big drawdowns).
Themes (Sectors & Ideas)
The screener mapped your requested areas (AI, pharmacy, currency, oil, gold, housing) to investable equity themes that tend to be volatile and have strong narrative-driven moves:
AI Beneficiary / Technology / Software as a Service / Semiconductor Equipment & Materials
- Purpose: Capture stocks exposed to artificial intelligence and high‑growth tech.
- Rationale:
- You mentioned AI specifically and have traded C3.ai before.
- AI, SaaS, and semiconductor-related names are classic high‑beta sectors, often reacting strongly to news, hype, and earnings.
- These sectors can deliver large percentage moves over weeks when sentiment shifts.
Biotech / Medical Instruments & Supplies / Cancer Research
- Purpose: Cover the “pharmacy” / healthcare innovation space.
- Rationale:
- Biotech and cancer‑related names can move 20–100%+ on trial data, FDA decisions, or partnership news.
- This matches your request for high‑risk / high‑reward in something similar to “pharmacy.”
- Medical instruments add another segment of health‑related growth/innovation plays, often still volatile.
Oil Sector
- Purpose: Get exposure to oil and energy names.
- Rationale:
- You asked for oil explicitly.
- Oil & gas producers and service companies are highly sensitive to commodity prices, geopolitics, and OPEC news—perfect for big swings in short time frames.
Gold Mining and Precious Metals
- Purpose: Provide exposure to gold through miners and precious‑metals plays.
- Rationale:
- You mentioned gold; miners typically move more (leverage) than the metal itself.
- When gold rises, mining stocks often move by a larger percentage, fitting your high‑reward profile.
U.S. Housing / REITs
- Purpose: Target stocks tied to the housing market.
- Rationale:
- You asked for housing; U.S. housing and REIT themes capture homebuilders, mortgage REITs, and real estate plays that react to rates and macro data.
- Some housing‑related names can be quite volatile around rate decisions and economic news.
Banks / Financial
- Purpose: Give exposure to financial institutions and currency/interest‑rate‑sensitive names.
- Rationale:
- You mentioned currency; in the stock world, you typically get “currency/FX and rate sensitivity” via banks and financials rather than spot FX.
- Financials are leveraged to interest rate moves, economic cycles, and sometimes FX exposure, which can cause large swings in their share prices.
One-Month Rise Probability ≥ 60%
- Purpose: Filter for stocks that, according to a statistical/model-based estimate, have at least a 60% chance of being higher in one month.
- Rationale:
- You have a tight time frame (74 days), so tilting toward names with a higher estimated short‑term upside probability improves odds versus picking purely at random.
- It doesn’t guarantee gains, but it biases the list toward setups that historically or statistically look more favorable over the next month.
One-Month Predicted Return ≥ 15%
- Purpose: Ensure the model expects a sizable potential gain over the next month.
- Rationale:
- To go from ~1M to ~3M in 74 days, you need exposure to names capable of very large percentage moves.
- A 15%+ expected move in a month is already very aggressive; actual outcomes could be much higher or lower, but this focuses on high potential reward.
- Combining high probability and high expected return keeps only names where the upside case is both sizable and not completely improbable.
Is Optionable = True
- Purpose: Limit results to stocks with listed options.
- Rationale:
- With your aggressive goal and limited time, options (calls, call spreads, etc.) are natural tools to get leverage without committing full capital per stock.
- Optionable stocks tend to be:
- More liquid.
- Followed by more traders.
- Better suited to high‑risk, high‑reward strategies in a simulation/trading game like yours.
Why These Results Match What You Asked For
You wanted very risky, high‑reward plays to try to turn ~1M into ~2.8–3M in 74 days using real‑market pricing.
- The HighRisk beta, mid/small-mid cap range, and 15%+ predicted 1‑month returns directly target stocks that can move a lot in a short window.
You specified multiple areas: AI, pharmacy (biotech/health), currency, oil, gold, housing.
- The Themes filter explicitly includes:
- AI/tech (AI Beneficiary, Technology, SaaS, Semi Equipment)
- Pharmacy/health (Biotech, Medical Instruments, Cancer Research)
- Oil (Oil Sector)
- Gold (Gold Mining and Precious Metals)
- Housing (U.S. Housing, REITs)
- Currency/rates exposure proxies (Banks, Financial)
You’re running a fake‑money, real‑market challenge:
- Optionable = True supports using options for leverage, which is consistent with your willingness to take very high risk for potentially very high returns.
One important note: no screen can guarantee you’ll triple your net worth in 74 days, even with these aggressive criteria. What these filters do is deliberately tilt the search toward sectors and stocks with the kind of volatility and upside potential that make such an outcome possible, while accepting that the risk of large losses is also extremely high.
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.