I'm starting with 100,000 give me 15 stocks for immediate growth I'm comfortable day trading and being very active. I will ask you to reevaluate daily

These 15 U.S. stocks currently have some of the strongest **next‑day upside signals** in Ainvest’s 1‑day quant model and are good candidates for an active, day‑trading‑style watchlist for your $100,000 account. ### 1. Your 15-stock “immediate growth” watchlist 🚀 From strongest to weaker (still positive) 1‑day model score: 1. **OWL** – Blue Owl Capital (alt asset manager; benefits from higher AUM and fee growth). 2. **ARES** – Ares Management (leading credit/alt asset platform; rides demand for private credit). 3. **ASX** – ASE Technology (semiconductor packaging/testing; levered to chip cycle). 4. **MU** – Micron Technology (memory/AI data center exposure; very actively traded). 5. **RKT** – Rocket Companies (mortgage/consumer lending; sensitive to rate/speculation moves). 6. **NMR** – Nomura Holdings (Japanese broker; reacts to global risk-on/risk-off). 7. **RGLD** – Royal Gold (precious-metals royalty; moves with gold and risk sentiment). 8. **NVMI** – Nova (semiconductor metrology; niche but tied to capex cycle). 9. **AU** – AngloGold Ashanti (gold miner; volatility from gold prices + EM risk). 10. **SMCI** – Super Micro Computer (AI server hardware; extremely liquid and volatile). 11. **STLA** – Stellantis (global autos; cyclical, moves on macro and EV sentiment). 12. **SN** – Smith & Nephew (medtech; slower fundamental name but can move on news/flows). 13. **ON** – ON Semiconductor (power/EV/industrial chips; solid beta, good liquidity). 14. **ASML** – ASML (core lithography supplier; mega‑cap, reacts strongly to chip-cycle news). 15. **AS** – Amer Sports (consumer/sports brands; newer listing, can move on flows/news). All 15 are **U.S.-listed**, and the list is generated by a **non‑linear multi‑factor model** trained to predict **next‑day performance**; the “value” score in the table below is the model’s signal strength (higher = stronger bullish edge for the next session). ### 2. How to use this with $100,000 ⚙️ Treat this as a **daily refreshed trading universe**, not 15 names to buy all at once at the open: - **Capital per trade** - Risk: ~**0.25–0.5% of account per trade** → $250–$500 maximum loss per trade. - With a typical **2–3% intraday stop**, that implies: - Position size ≈ $250 ÷ 0.02 = **$12,500** (for 0.25% risk) - Or ≈ $500 ÷ 0.02 = **$25,000** (for 0.5% risk) - **Concurrent positions** - Aim for **3–6 positions at a time**, depending on your comfort. - Keep **20–30% in cash** to handle new setups or manage drawdowns. - **Execution idea** - Use this list **before the open**: - Look for **gap + trend** (gap in your direction and holds above/below VWAP). - Favor names with **tight spreads and strong volume** right from open (SMCI, MU, ASML, ON, STLA are usually very liquid). - Avoid chasing extended 5–10 minute candles; wait for **pullbacks to intraday support** (VWAP, 9/20 EMA on 5‑min) to define tight stops. This keeps you aggressive enough to seek “immediate growth” while keeping the account from blowing up on 1–2 bad trades. ### 3. 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Model Scores"},"xaxis":{"title":{"text":"Ticker"}},"yaxis":{"title":{"text":"Predicted Score"}}},"config":{"modeBarButtonsToRemove":["toImage","lasso2d","sendDataToCloud","select2d","resetScale2d","zoom2d","pan2d"],"displaylogo":false,"plotlyServerURL":"https://plot.ly"}}},"id":83741152,"type":"plotly-json"}] ``` - **Date:** Scores are based on data up to **2026‑03‑13** and are meant for the **next trading session** (i.e., Monday’s open after that date). - **Interpretation:** A higher **value** means the model expects stronger next‑day performance on average, not a guarantee any individual day. --- If you’d like, next step I can: - Narrow this down further into **sector buckets** (chips, financials, gold, etc.), and - Suggest **concrete intraday playbooks** for 2–3 of these (e.g., how to trade MU or SMCI off the open). Before we refine, how aggressive do you want to be with drawdowns — are you okay with, say, a **10–15% swing on the account**, or do you want to keep max drawdown tighter than that? 🤔 : Based on the Ainvest 1‑day U.S. equity prediction model output for 30 top-ranked tickers, from which the top 15 were selected.