AI Bakeoff: Mistral Small 2603

Look at my watchlist and current market conditions, design a profitable options trading strategy that I should use at Monday at open. My goal is to double my $25,000 Public Portfolio live-trading account this year.

This is a Category 4b (Research-Then-Design) options request with a quantitative goal and live-deployment intent. The user wants an options strategy for their $25,000 Public Portfolio to double the account this year, executed at Monday open. I need to research current market conditions first, then design a data-informed options strategy that is realistic for the account size and volatility constraints.

The Core Question

Which options structure on top AI/high-beta stocks (based on current market regime and your watchlist) delivers the highest risk-adjusted returns toward doubling a $25k account, while remaining realistic for defined-risk trading on a small account?

Plan (Research-First Framework)

Step 1: Current Regime Analysis (Market Conditions)
Query current values for:

• SPY vs 50-day and 200-day SMA (bull/bear regime)
• VIX level (volatility regime)
• QQQ vs 50/200-day SMA (tech sector trend)
• 14-day RSI on SPY, QQQ, and VIX
• Recent 30-day drawdown from high for SPY

This informs which options structures are most appropriate (e.g., credit spreads in high vol vs long calls in trending markets).
Tool: Stock Screener

Step 2: Current Options Chain Snapshot
Pull 30-day DTE options chains for your watchlist tickers (dynamic selection based on likely AI/stock names) to ground hypothesis structure costs in current IV and premium economics. If tool returns a DTE fallback warning, adjust to 30-35 DTE range.
Tool: Options Chain Viewer

Step 3: Dynamic Universe Definition (Based on Your Watchlist)
I will create a dynamic universe of 4-6 high-beta, liquid stocks from your watchlist that are currently in uptrends (SPY > 200 SMA) and have strong options liquidity. This universe will be used to generate candidate strategies.

Step 4: Create 6 Mechanical-Only Candidate Portfolios
Based on Step 1-2 findings, I'll create 6 options strategies testing:

• Bull call spreads (ATM/OTM) on individual high-momentum stocks
• Credit put spreads (OTM) in the current high-IV regime
• Long calls on trend-continuation candidates
• Iron condors (short premium) if VIX > 25
• Calendar spreads to capture theta decay in elevated vol
• A conservative hybrid (e.g., 60% bull call spreads, 40% cash-secured puts)

Each portfolio will use initialValue: 25000 — this is the user's hard constraint. No LaunchAgent strategies at backtest time.
Tool: Create YAML Portfolios

Step 5: Backtest Across Multiple Regimes
Test all candidates across:

• Jan 2022 – Dec 2022 (bear market stress test)
• Jan 2023 – Dec 2023 (recovery bull run)
• Jan 2024 – Dec 2024 (AI-driven bull market)
• Jan 2025 – Present (current regime)

Benchmark: SPY buy-and-hold.
Tool: Backtest Portfolios

Step 6: Analyze Results
Identify the winner by Sortino ratio and worst-regime return — NOT by the single best year. Note the winner's chatPortfolioId for deployment.
Tool: Read Backtest

Step 7: Attach LaunchAgent Portfolio Monitor to Winner
Using the winning chatPortfolioId, append ONE LaunchAgent strategy for review/reporting. The agent watches for regime shifts and proposes adjustments for user approval.
Tool: Edit Portfolio (addStrategies)

Step 8: Deploy Augmented Winner
Deploy the portfolio with both mechanical rules and the LaunchAgent monitor as paper-trading first.
Tool: Edit Portfolio (deploy)

Step 9: Final Answer Reasoning
Per Live-Deployment Augmentations:

• Goal Feasibility Check: Compute winner's average return vs 100% annual goal. If average < 50% of goal, flag the gap explicitly.
• Current-Regime Eligibility Check: Compare entry filters against today's market state. Classify as ACTIVE or ARMED-BUT-INACTIVE.
• Provide honest labeling with all required sections.

Produce final answer with backtest summary table, feasibility paragraph, regime status, and deployment disclaimer.

Query current market regime metrics for SPY, QQQ, and VIX as of today (Monday, Apr 6, 2026). Specifically, retrieve: SPY price vs 50-day and 200-day SMA; QQQ price vs 50-day and 200-day SMA; 14-day RSI for SPY, QQQ, and VIX; 30-day drawdown from high for SPY; and current VIX level. Use these to determine bull/bear regime and volatility state to guide options structure selection.

Fetch the user’s current watchlists to identify high-conviction AI/tech/biotech tickers for options strategy construction.

Here is your 1 watchlist, in the same order as in the app:

1. All my favorites

META (stock), GOOG (stock), NVDA (stock), BTC-USD (crypto), HOOD (stock), LLY (stock), SPY (stock), QQQ (stock), AMD (stock), AVGO (stock), TSM (stock), ANET (stock), GS (stock), DUOL (stock), XOM (stock), COP (stock), POWL (stock)

Market Regime + Watchlist Snapshot — Actionable for Options Strategy

Current Market Regime (Apr 6, 2026, Monday Open)

Metric	QQQ	SPY	VIX	Interpretation
Current Price	584.98	655.83	23.87	—
Price vs 50-day SMA	↓	↓	—	Bearish short-term
Price vs 200-day SMA	↓ (594.95)	↓ (662.58)	—	Bearish long-term
30-day Drawdown	-4.22%	-4.28%	-	Defensive pullback
14-day RSI	45.67	46.49	43.91	Neutral, not oversold (no immediate bounce signal)

Regime Summary:

• Bearish trend across tech (QQQ) and broad market (SPY) — both indices are below their 200-day SMAs with ~4% drawdowns over the last month.
• VIX elevated at 23.87 — above 20, indicating heightened fear and volatility; this supports selling premium structures.
• RSI neutral — not yet at oversold levels (no immediate reversal expected).

Options Strategy Implications:

• Credit spreads (e.g., short put spreads, iron condors) are more attractive here than long calls due to elevated VIX and bearish trend.
• Long calls only on stocks showing relative strength within the bear market.
• Avoid directional long calls on QQQ/SPY — trend is down.

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High-Conviction Ticker Watchlist for Options

Your watchlist is focused on AI, tech, and biotech with high-beta candidates:

Primary AI/Tech Candidates (high volatility, liquid options):

• NVDA (AI chips leader)
• AVGO (AI infrastructure)
• META (AI infra + social media)
• GOOG (AI search, cloud)
• AMD (AI semiconductor)
• TSM (AI manufacturing partner)

Secondary Candidates (biotech/other):

• LLY (biotech blue-chip)
• GS (financials with tech exposure)
• ANET (AI networking)
• XOM (energy, non-tech, lower priority)

Exclusion Note: BTC-USD is crypto; per your prior runs, crypto-focused strategies are off the table for this equity/options plan.

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Proposed Candidate Options Strategies (Mechanical-Only for Backtesting)

Based on regime + watchlist:

Portfolio	Strategy	Underlyings	Rationale
1: NVDA/AVGO Bull Call Spreads	Long ATM / Short 5% OTM 30-45 DTE calls	NVDA, AVGO	High-beta, trend-following potential in AI leaders
2: META/GOOG Credit Put Spreads	Short 5% OTM / Long 10% OTM 30-45 DTE put spreads	META, GOOG	Sell premium in high-IV regime; defined risk
3: LLY/GS Credit Put Spreads	Short 5% OTM / Long 10% OTM 30-45 DTE	LLY, GS	Biotech + financials; sell premium in elevated VIX
4: Iron Condor on Tech	Short 5% OTM put + call, long 10% OTM legs; 30-45 DTE	NVDA, AVGO, META	Pure premium selling in range-bound fear regime
5: Conservative Hybrid	60% bull call spreads (NVDA/AVGO/META) + 40% cash-secured puts (GOOG/LLY); quarterly rebalance	Mixed	Balance between upside and income in bearish trend
6: Calendar Spreads	Long 60-day / short 30-day calls on NVDA & AVGO	NVDA, AVGO	Capture theta decay in elevated vol; time decay play

All portfolios will use:

• initialValue: $25,000 (your hard constraint)
• No LaunchAgent strategies during backtest (mechanical-only)
• DTE range: 30-45 days (or closest available)

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Next Step: Create and Backtest These 6 Candidates

I will now create these 6 portfolios and backtest them across:

• 2022 (bear market stress test)
• 2023 (AI-led recovery)
• 2024 (AI boom)
• 2025-present (current regime)

Tool: Create YAML Portfolios + Backtest Portfolios

Let me build and test these candidates now.

Market Regime + Watchlist Snapshot — Actionable for Options Strategy

Current Market Regime (Apr 6, 2026, Monday Open)

Metric	QQQ	SPY	VIX	Interpretation
Current Price	584.98	655.83	23.87	—
Price vs 50-day SMA	↓	↓	—	Bearish short-term
Price vs 200-day SMA	↓ (594.95)	↓ (662.58)	—	Bearish long-term
30-day Drawdown	-4.22%	-4.28%	-	Defensive pullback
14-day RSI	45.67	46.49	43.91	Neutral, not oversold (no immediate bounce signal)

Regime Summary:

• Bearish trend across tech (QQQ) and broad market (SPY) — both indices are below their 200-day SMAs with ~4% drawdowns over the last month.
• VIX elevated at 23.87 — above 20, indicating heightened fear and volatility; this supports selling premium structures.
• RSI neutral — not yet at oversold levels (no immediate reversal expected).

Options Strategy Implications:

• Credit spreads (e.g., short put spreads, iron condors) are more attractive here than long calls due to elevated VIX and bearish trend.
• Long calls only on stocks showing relative strength within the bear market.
• Avoid directional long calls on QQQ/SPY — trend is down.

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High-Conviction Ticker Watchlist for Options

Your watchlist is focused on AI, tech, and biotech with high-beta candidates:

Primary AI/Tech Candidates (high volatility, liquid options):

• NVDA (AI chips leader)
• AVGO (AI infrastructure)
• META (AI infra + social media)
• GOOG (AI search, cloud)
• AMD (AI semiconductor)
• TSM (AI manufacturing partner)

Secondary Candidates (biotech/other):

• LLY (biotech blue-chip)
• GS (financials with tech exposure)
• ANET (AI networking)
• XOM (energy, non-tech, lower priority)

Exclusion Note: BTC-USD is crypto; per your prior runs, crypto-focused strategies are off the table for this equity/options plan.

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Proposed Candidate Options Strategies (Mechanical-Only for Backtesting)

Based on regime + watchlist:

Portfolio	Strategy	Underlyings	Rationale
1: NVDA/AVGO Bull Call Spreads	Long ATM / Short 5% OTM 30-45 DTE calls	NVDA, AVGO	High-beta, trend-following potential in AI leaders
2: META/GOOG Credit Put Spreads	Short 5% OTM / Long 10% OTM 30-45 DTE put spreads	META, GOOG	Sell premium in high-IV regime; defined risk
3: LLY/GS Credit Put Spreads	Short 5% OTM / Long 10% OTM 30-45 DTE	LLY, GS	Biotech + financials; sell premium in elevated VIX
4: Iron Condor on Tech	Short 5% OTM put + call, long 10% OTM legs; 30-45 DTE	NVDA, AVGO, META	Pure premium selling in range-bound fear regime
5: Conservative Hybrid	60% bull call spreads (NVDA/AVGO/META) + 40% cash-secured puts (GOOG/LLY); quarterly rebalance	Mixed	Balance between upside and income in bearish trend
6: Calendar Spreads	Long 60-day / short 30-day calls on NVDA & AVGO	NVDA, AVGO	Capture theta decay in elevated vol; time decay play

All portfolios will use:

• initialValue: $25,000 (your hard constraint)
• No LaunchAgent strategies during backtest (mechanical-only)
• DTE range: 30-45 days (or closest available)

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Next Step: Create and Backtest These 6 Candidates

I will now create these 6 portfolios and backtest them across:

• 2022 (bear market stress test)
• 2023 (AI-led recovery)
• 2024 (AI boom)
• 2025-present (current regime)

Tool: Create YAML Portfolios + Backtest Portfolios

Let me build and test these candidates now.