Shared agent run on NexusTrade
Optimization Round 5: The Collapse (Score: 27)
Long directional options. -6.30% avg return. Evaluator said go back to Round 1.
User: **OPTIMIZATION ROUND 5 — Continuation** You are iterating on a previous agent run. Do NOT start from scratch. Build directly on the findings below. **Prior Run History — do NOT repeat strategies without meaningful improvement:** Round 1 — Score: 71/100 (mixed) | Goal: 100%+ avg annual return across ALL regimes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ DEPLOYED: Always-On Iron Condors [volatility] on SPY, QQQ 2022 Bear : 14.61% | maxDD: -15.00% | Sharpe: 0.8 | Sortino: 1.2 2023 Recovery : 63.56% | maxDD: -8.00% | Sharpe: 4.5 | Sortino: 9.1 2024 Trend : 116.40% | maxDD: -59.00% | Sharpe: 1.8 | Sortino: 3.2 2025 Current : 22.78% | maxDD: -12.00% | Sharpe: 1.2 | Sortino: 2.1 → Average return: 54.34% avg (2022: 14.61%, 2023: 63.56%, 2024: 116.40%, 2025: 22.78%) → Insight: Only strategy to remain profitable across all regimes (2022-2026) with a 54% average annual return. PROMISING — massive alpha exists here, but drawdown is too high. Do NOT ignore: Mean-Reversion Bull Call Spreads (META, NVDA, AMD) [mean-reversion | signals: RSI] on META, NVDA, AMD 2023 Recovery : 500.76% 2024 Trend : 2565.06% 2022 Bear : -78.22% | maxDD: -78.00% 2025 Current : -80.78% | maxDD: -83.0…
Aurora: This is Round 5 of our optimization. We have established that Iron Condors provide robust baseline alpha but suffer from high drawdowns, while high-beta tech spreads provide massive upside but terminal risk. Our goal is to bridge this gap: targeting 80%+ average annual returns while keeping maximum drawdowns under 40% on your $25,000 account. Following the direction from Round 4, I will pivot away from fast SMAs on leveraged ETFs to avoid whipsaws and focus on longer-term trend filters (50-day SMA) and volatility gates (VIX < 20 for momentum, VIX > 20 for income). I will also test 'Stop-Loss Free' defined-risk structures on Sector ETFs to allow for better survival of normal tech volatility. ### The Core Question Can we achieve an 80%+ average annual return across all regimes (2022-2025) by combining regime-gated leveraged momentum (SOXL/TECL) with high-theta volatility harvesting, while maintaining a drawdown below 40%? ### Competing Hypotheses for Round 5 1. **Hypothesis A (Regime-Gated Leveraged Momentum):** Trading SOXL/TECL using a 50-day SMA filter (instead of 10-day) and a VIX < 25 ceiling to avoid choppy bear market volatility. 2. **Hypothesis B (Volatility-Gated Iron Condo…
User: What are the current values for the following metrics as of the most recent close: 1. VIX (Price) 2. SPY (Price vs 200-day SMA) 3. SOXL (Price vs 50-day SMA and 100-day SMA) 4. NVDA, META, AMD, SMH, and XLK (Price and 14-day RSI) This data is required to set the entry gates for our Round 5 options strategies.
User: Show me the options chains for SPY, QQQ, SOXL, NVDA, META, XLK, and SMH for the 30-45 DTE expiration window. I need to see the bid/ask and implied volatility for At-The-Money (ATM) and 5% Out-Of-The-Money (OTM) strikes for both calls and puts to calibrate our Round 5 strategy entries.
Aurora: ## Options Chain: SPY **Underlying Price:** $657.66 **Data Source:** Brokerage ### 2026-05-08 (33 DTE) **Calls:** | Strike | Bid | Ask | Mid | Volume | OI | IV | Delta | |--------|-----|-----|-----|--------|----|----|-------| | $530.00 | $128.76 | $132.08 | $130.42 | 0 | 0 | N/A | N/A | | $535.00 | $123.84 | $127.17 | $125.50 | 0 | 0 | N/A | N/A | | $540.00 | $118.93 | $122.22 | $120.58 | 12 | 10 | N/A | N/A | | $545.00 | $114.03 | $117.36 | $115.69 | 2 | 0 | 38.0% | 0.960 | | $550.00 | $109.14 | $112.47 | $110.81 | 4 | 4 | 37.0% | 0.956 | | $555.00 | $104.28 | $107.57 | $105.92 | 4 | 12 | 36.0% | 0.952 | | $560.00 | $99.46 | $102.74 | $101.10 | 2 | 3 | 35.3% | 0.947 | | $565.00 | $94.64 | $97.90 | $96.27 | 2 | 2 | 34.4% | 0.941 | | $570.00 | $89.80 | $93.08 | $91.44 | 1 | 1 | 33.5% | 0.936 | | $575.00 | $85.16 | $88.28 | $86.72 | 1 | 9 | 32.9% | 0.927 | | $580.00 | $80.40 | $83.50 | $81.95 | 2 | 10 | 32.1% | 0.919 | | $585.00 | $76.27 | $78.65 | $77.46 | 3 | 5 | 32.0% | 0.905 | | $590.00 | $72.36 | $72.77 | $72.56 | 2 | 3 | 30.6% | 0.899 | | $595.00 | $67.74 | $69.46 | $68.60 | 0 | 0 | 31.5% | 0.875 | | $600.00 | $63.14 | $63.51 | $63.33 | 11 | 13 | 29.0% | 0.874 | | $605.00 | $5…
User: Launching 3 subagents to explore strategies in parallel
User: Waiting for subagents to complete...
Aurora: All 3 subagents complete. **Subagent 1**: Explore low-sized High-Alpha Tech strategies on NVDA, META, AMD, XLK, and SMH. Use an initialValue of $25,000. Use Bull Call Spreads (30-45 DTE) with strictly capped 2% position sizing. Entry condition: VIX < 20. Test variations on exit rules (e.g., 50% TP / 25% SL). Backtest across four regimes: 2022 Bear, 2023 Recovery, 2024 Chop, and 2025 Current. Goal: Capture 100%+ alpha in bull years without terminal drawdown in bear years. - Status: completed - Summary: **High-Alpha Tech Options Strategy: Feasibility Analysis Complete** This exploration aimed to design a high-alpha options strategy for a $25,000 account using NVDA, META, AMD, XLK, and SMH. The goal was to capture 100%+ alpha in bull years while avoiding terminal drawdown in bear years using a VIX < 20 regime filter. ### Approach & Methodology Over 13 iterations, we tested three generations of portfolios. We began with 2% position sizing ($500) and Bull Call Spreads, refined to 8% sizing ($2,000), and finally conducted a troubleshooting phase using 10% sizing ($2,500) and Long Calls to isolate execution bottlenecks. We tested across four regimes: 2022 Bear, 2023 Recovery, 2024 Chop,…
User: Create two portfolios for a $25,000 account: 1. 'Round 5 Leveraged Alpha': Weekly rebalance into the top 1 asset from [SOXL, TECL] based on 20-day Price Rate of Change. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200). Exit: Sell position when Price(Asset) < SimpleMovingAverage(Asset, 10). 2. 'Round 5 Tech Gamma': OpenOption: Long Call (ATM, 30-45 DTE) on [NVDA, META, AVGO, SMH] at 10% of buying power. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200). CloseOption: Close at 50% profit, 25% loss, or when DTE < 14.
Aurora: I've created two portfolios for your $25,000 account, incorporating the findings from our Round 5 research. The **'Round 5 Leveraged Alpha'** portfolio uses a dual-regime filter (Asset > 50-day SMA and SPY > 200-day SMA) to capture momentum in SOXL and TECL while using a fast 10-day SMA exit to mitigate the volatility decay identified in our 2024 backtests. The **'Round 5 Tech Gamma'** portfolio focuses on high-alpha tech options with 10% position sizing to ensure capital feasibility, gated by the same trend-following filters to avoid the terminal drawdowns seen in un-gated tech strategies.
User: Backtest the portfolios 'Round 5 Leveraged Alpha' (ID: 69d3d292401165fca5d8bb38) and 'Round 5 Tech Gamma' (ID: 69d3d292401165fca5d8bb39) across the following four periods: 1. 2022 Bear: Jan 1, 2022 to Dec 31, 2022 2. 2023 Recovery: Jan 1, 2023 to Dec 31, 2023 3. 2024 Chop: Jan 1, 2024 to Dec 31, 2024 4. 2025-26 Current: Jan 1, 2025 to April 6, 2026. Use an initial value of $25,000 for each period and benchmark against SPY.
Aurora: I'll create 8 backtest configurations to evaluate the performance of your Round 5 portfolios across the four specified market regimes, using SPY as the baseline and an initial account value of $25,000.
User: Analyze the backtest results for the two portfolios 'Round 5 Leveraged Alpha' (ID: 69d3d292401165fca5d8bb38) and 'Round 5 Tech Gamma' (ID: 69d3d292401165fca5d8bb39) across the four tested regimes: 2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current. Please provide a comparison of total returns, maximum drawdowns, and Sortino ratios for each period, and calculate the average annual return across all regimes to evaluate feasibility against the 100% growth goal.
Aurora: Based on the backtest results for the four tested regimes, here is the analysis of the **Round 5 Leveraged Alpha** and **Round 5 Tech Gamma** portfolios. ### 1. Backtest Summary and Comparison The following table compares the performance of the two portfolios against the SPY baseline across different market regimes. | Regime | Portfolio | Total Return | SPY Return | Max Drawdown | Sortino Ratio | | :--- | :--- | :--- | :--- | :--- | :--- | | **2022 Bear** | Leveraged Alpha | -25.46% | **-18.38%** | 29.56% | -1.58 | | | Tech Gamma | -78.39% | **-18.38%** | 79.46% | -3.76 | | **2023 Recovery** | Leveraged Alpha | -35.15% | **26.19%** | 46.78% | -1.11 | | | Tech Gamma | **+468.20%** | 26.19% | 98.77% | **3.91** | | **2024 Chop** | Leveraged Alpha | 11.58% | **25.34%** | 37.05% | 0.51 | | | Tech Gamma | -65.73% | **25.34%** | 97.06% | 1.11 | | **2025-26 Current**| Leveraged Alpha | -33.89% | **8.74%** | 44.04% | -0.63 | | | Tech Gamma | -61.17% | **8.74%** | 72.32% | 0.25 | ### 2. Trends * **Leveraged Alpha Whipsaws:** The "Leveraged Alpha" strategy is suffering from severe whipsaws. It lost money in 2023 while the market was up 26%, suggesting the 50-day SMA entry and 10-day SMA exit…
User: Create two portfolios for a $25,000 account: 1. 'Round 5 Final Gamma': OpenOption: Long Call (ATM, 30-45 DTE) on [NVDA, META, AVGO, SMH] at 4% of buying power. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200). CloseOption: Close at 50% profit, 20% loss, OR when Price(Asset) < SimpleMovingAverage(Asset, 10) OR when DTE < 14. 2. 'Round 5 Final Leveraged': Dynamic rebalance SOXL, TECL (Top 1 by 20-day ROC). Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200). Exit: Sell position when Price(Asset) < SimpleMovingAverage(Asset, 10).
Aurora: I have generated the two portfolios based on your Round 5 optimization requirements. **Capital Feasibility Note:** On a **$25,000 account**, a 4% allocation ($1,000) is sufficient for **NVDA** options (currently ~$8.70/contract), but it is **insufficient** for **META** (~$31.65/contract) and **AVGO** (~$80+/contract) which require $3,100 to $8,000+ per single contract. To trade the full list, you would need to increase the allocation per position to ~15% or raise the `initialValue` to $100,000. I have proceeded with your requested 4% sizing, but be aware that META and AVGO trades may fail to execute due to insufficient buying power.
User: Backtest the portfolios 'Round 5 Final Gamma' (ID: 69d3d4a5401165fca5dc6f23) and 'Round 5 Final Leveraged' (ID: 69d3d4a5401165fca5dc6f24) across the following four periods: 1. 2022 Bear: Jan 1, 2022 to Dec 31, 2022 2. 2023 Recovery: Jan 1, 2023 to Dec 31, 2023 3. 2024 Chop: Jan 1, 2024 to Dec 31, 2024 4. 2025-26 Current: Jan 1, 2025 to April 6, 2026. Use an initial value of $25,000 for each period and benchmark against SPY.
Aurora: I'll create 8 backtest configurations to evaluate the performance of your Round 5 Final portfolios across the four specified market regimes, using SPY as the baseline and an initial account value of $25,000.
User: Analyze the backtest results for the eight backtests just initiated (IDs: 69d3d4dd401165fca5dc7359, 69d3d4dd401165fca5dc735a, 69d3d4dd401165fca5dc735b, 69d3d4dd401165fca5dc735c, 69d3d4dd401165fca5dc735d, 69d3d4dd401165fca5dc735e, 69d3d4dd401165fca5dc735f, 69d3d4dd401165fca5dc7360). Provide a summary table comparing 'Round 5 Final Gamma' and 'Round 5 Final Leveraged' across the 2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current regimes. Calculate the average annual return across all regimes and check if they meet the deployment bar (avg return >= 80%, max DD <= 40%).
Aurora: Based on the backtest results for the four tested regimes, here is the analysis of the **Round 5 Final Gamma**, **Round 5 Final Leveraged**, and the high-variance **Tech Gamma** portfolios. ### 1. Backtest Summary and Comparison The following table summarizes the performance of the portfolios against the SPY baseline across the tested market regimes. | Regime | Portfolio | Total Return | SPY Return | Max Drawdown | Sortino Ratio | | :--- | :--- | :--- | :--- | :--- | :--- | | **2022 Bear** | Final Gamma | -22.80% | **-18.38%** | **23.30%** | -2.35 | | | Final Leveraged | -26.08% | -18.38% | 30.15% | -1.08 | | | Tech Gamma | -78.39% | -18.38% | 79.46% | -3.76 | | **2023 Recovery** | Final Gamma | -20.11% | **26.19%** | 42.68% | -1.03 | | | Final Leveraged | -34.14% | 26.19% | 46.77% | -1.06 | | | Tech Gamma | **+468.20%** | 26.19% | 98.77% | **3.91** | | **2024 Chop** | Final Gamma | -10.40% | 25.34% | 55.99% | 0.13 | | | Final Leveraged | -0.22% | **25.34%** | 43.71% | 0.17 | | | Tech Gamma | -65.73% | 25.34% | 97.06% | 1.11 | | **2025-26 Current**| Final Gamma | -18.17% | **8.74%** | 25.59% | -0.93 | | | Final Leveraged | -16.55% | 8.74% | 35.03% | -0.12 | | | Tech Gamma | -61.17…
User: Create a portfolio for a $25,000 account named 'Round 5 Gamma Shield': 1. OpenOption: Long Call (ATM, 30-45 DTE) on [NVDA, META, AVGO, SMH] at 12% of buying power. 2. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200) AND Price(VIX) < 22. 3. CloseOption: Close at 50% profit, 30% loss, OR when Price(Asset) < SimpleMovingAverage(Asset, 10) OR when DTE < 14.
Aurora: I have generated the **'Round 5 Gamma Shield'** portfolio. This structure incorporates a "Shield" logic: a VIX ceiling to avoid high-premium environments, a dual-trend filter for entry, and a fast 10-day SMA exit to protect against the volatility decay that plagued previous rounds. **⚠️ Capital Feasibility Warning:** On a **$25,000 account**, your 12% allocation ($3,000) is sufficient for **NVDA** and **SMH** options. However, it is **insufficient** for **META** (~$3,165/contract) and **AVGO** (~$8,000/contract). AVGO contracts alone would require ~32% of your total account value. I have included them as requested, but expect execution failures on those two underlyings unless you increase the allocation per position or raise the initial capital.
User: Backtest the portfolio 'Round 5 Gamma Shield' (ID: 69d3d6ba401165fca5df3e7c) across the following four periods using an initial value of $25,000 and benchmarking against SPY: 1. 2022 Bear: Jan 1, 2022 to Dec 31, 2022 2. 2023 Recovery: Jan 1, 2023 to Dec 31, 2023 3. 2024 Chop: Jan 1, 2024 to Dec 31, 2024 4. 2025-26 Current: Jan 1, 2025 to April 6, 2026.
Aurora: I'll create four backtest configurations for the 'Round 5 Gamma Shield' portfolio across the requested market regimes, using SPY as the baseline and an initial account value of $25,000.
User: Analyze the backtest results for the 'Round 5 Gamma Shield' portfolio (IDs: 69d3d6eb401165fca5df41a3, 69d3d6eb401165fca5df41a4, 69d3d6eb401165fca5df41a5, 69d3d6eb401165fca5df41a6). Please provide a summary of the Total Return, Maximum Drawdown, and Sortino Ratio for each of the four regimes (2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current) and calculate the average annual return across all periods.
Aurora: Based on the backtest results for the four tested regimes (2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current), here is the analysis of your Round 5 portfolios. ### 1. Backtest Summary and Comparison The following table summarizes the performance of the Round 5 portfolios against the SPY baseline. | Portfolio | Regime | Total Return | SPY Return | Max Drawdown | Sortino Ratio | | :--- | :--- | :--- | :--- | :--- | :--- | | **Leveraged Alpha** | 2022 Bear | -25.46% | -18.38% | 29.56% | -1.58 | | | 2023 Recovery | -35.15% | **26.19%** | 46.78% | -1.11 | | | 2024 Chop | 11.58% | **25.34%** | 37.05% | 0.51 | | | 2025-26 Current | -33.89% | **8.74%** | 44.04% | -0.63 | | **Tech Gamma** | 2022 Bear | -78.39% | -18.38% | 79.46% | -3.76 | | | 2023 Recovery | **+468.20%** | 26.19% | 98.77% | **3.91** | | | 2024 Chop | -65.73% | 25.34% | 97.06% | 1.11 | | | 2025-26 Current | -61.17% | 8.74% | 72.32% | 0.25 | | **Final Gamma** | 2022 Bear | -22.80% | -18.38% | 23.30% | -2.35 | | | 2023 Recovery | -20.11% | 26.19% | 42.68% | -1.03 | | | 2024 Chop | -10.40% | 25.34% | 55.99% | 0.13 | | | 2025-26 Current | -18.17% | 8.74% | 25.59% | -0.93 | | **Final Leveraged** | 2022 Bear | -26.08% | -1…
User: Create a portfolio for a $25,000 account named 'Round 5 Gamma Survivor': 1. OpenOption: Long Call (ATM, 30-45 DTE) on [NVDA, SMH, XLK] at 8% of buying power. 2. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200) AND AverageDirectionalIndex(14) > 20. 3. CloseOption: Close at 50% profit, 40% loss, OR when DTE < 14.
Aurora: I have generated the **'Round 5 Gamma Survivor'** portfolio. **Note on Indicators:** Since `AverageDirectionalIndex` (ADX) is not currently a supported indicator, I have substituted it with `PriceRateOfChange(asset, 14) > 0` to confirm positive trend momentum as requested. **Capital Feasibility:** On a **$25,000 account**, an 8% allocation ($2,000) is sufficient to cover the premiums for ATM options on **NVDA** (~$870/contract), **SMH** (~$1,950/contract), and **XLK** (~$605/contract). This sizing allows for proper execution and diversification across these three tech leaders.
User: Backtest the portfolio 'Round 5 Gamma Survivor' (ID: 69d3d8be401165fca5e009e0) across the following four periods using an initial value of $25,000 and benchmarking against SPY: 1. 2022 Bear: Jan 1, 2022 to Dec 31, 2022 2. 2023 Recovery: Jan 1, 2023 to Dec 31, 2023 3. 2024 Chop: Jan 1, 2024 to Dec 31, 2024 4. 2025-26 Current: Jan 1, 2025 to April 6, 2026.
Aurora: I'll create four backtest configurations for the 'Round 5 Gamma Survivor' portfolio across the specified market regimes, using SPY as the baseline and an initial account value of $25,000.
User: Analyze the backtest results for the 'Round 5 Gamma Survivor' portfolio (IDs: 69d3d8e1401165fca5e0d87a, 69d3d8e1401165fca5e0d87b, 69d3d8e1401165fca5e0d87c, 69d3d8e1401165fca5e0d87d). Please provide a summary table of the Total Return, Maximum Drawdown, and Sortino Ratio for each of the four regimes (2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current) and calculate the average annual return across all periods.
Aurora: Here is the analysis of the Round 5 backtest results across the four tested market regimes. ### 1. Backtest Summary and Comparison The following table summarizes the performance of the Round 5 portfolios against the SPY baseline. | Portfolio | Regime | Total Return | SPY Return | Max Drawdown | Sortino Ratio | | :--- | :--- | :--- | :--- | :--- | :--- | | **Leveraged Alpha** | 2022 Bear | -25.46% | -18.38% | 29.56% | -1.58 | | | 2023 Recovery | -35.15% | **26.19%** | 46.78% | -1.11 | | | 2024 Chop | 11.58% | **25.34%** | 37.05% | 0.51 | | | 2025-26 Current | -33.89% | **8.74%** | 44.04% | -0.63 | | **Tech Gamma** | 2022 Bear | -78.39% | -18.38% | 79.46% | -3.76 | | | 2023 Recovery | **+468.20%** | 26.19% | 98.77% | **3.91** | | | 2024 Chop | -65.73% | 25.34% | 97.06% | 1.11 | | | 2025-26 Current | -61.17% | 8.74% | 72.32% | 0.25 | | **Final Gamma** | 2022 Bear | -22.80% | -18.38% | 23.30% | -2.35 | | | 2023 Recovery | -20.11% | 26.19% | 42.68% | -1.03 | | | 2024 Chop | -10.40% | 25.34% | 55.99% | 0.13 | | | 2025-26 Current | -18.17% | 8.74% | 25.59% | -0.93 | | **Final Leveraged** | 2022 Bear | -26.08% | -18.38% | 30.15% | -1.08 | | | 2023 Recovery | -34.14% | 26.19% | 46.77% | -1…
User: Create a portfolio for a $25,000 account named 'Round 5 Alpha Guard': 1. OpenOption: Long Call (ATM, 30-45 DTE) on [QQQ, NVDA, SMH] at 8% of buying power. 2. Condition: Price(Asset) > SimpleMovingAverage(Asset, 50) AND Price(SPY) > SimpleMovingAverage(SPY, 200) AND PriceRateOfChange(Asset, 14) > 0. 3. CloseOption: Close at 50% profit, 30% loss, OR when Price(Asset) < SimpleMovingAverage(Asset, 20) OR when DTE < 14.
Aurora: I have generated the **'Round 5 Alpha Guard'** portfolio. This structure uses a triple-filter entry (Asset > 50-day SMA, SPY > 200-day SMA, and positive 14-day momentum) to ensure we only enter during strong uptrends. To protect capital, it implements a 30% stop-loss and a fast 20-day SMA exit to catch trend reversals early. **Capital Feasibility:** On a **$25,000 account**, an 8% allocation ($2,000) is sufficient to cover the premiums for ATM options on **QQQ** (~$1,200/contract), **NVDA** (~$870/contract), and **SMH** (~$1,950/contract).
User: Backtest the portfolio 'Round 5 Alpha Guard' (ID: 69d3dafc401165e4900e) across the following four periods using an initial value of $25,000 and benchmarking against SPY: 1. 2022 Bear: Jan 1, 2022 to Dec 31, 2022 2. 2023 Recovery: Jan 1, 2023 to Dec 31, 2023 3. 2024 Chop: Jan 1, 2024 to Dec 31, 2024 4. 2025-26 Current: Jan 1, 2025 to April 6, 2026.
Aurora: I'll create four backtest configurations for the **Round 5 Alpha Guard** portfolio across the specified market regimes, using SPY as the baseline and an initial account value of $25,000.
User: Analyze the backtest results for the 'Round 5 Alpha Guard' portfolio (IDs: 69d3db34401165fca5e494ce, 69d3db34401165fca5e494cf, 69d3db34401165fca5e494d0, 69d3db34401165fca5e494d1). Provide a summary of the Total Return, Maximum Drawdown, and Sortino Ratio for each of the four regimes (2022 Bear, 2023 Recovery, 2024 Chop, and 2025-26 Current) and calculate the average annual return across all periods to evaluate if it meets the deployment bar.
Aurora: This analysis covers the backtest results for the Round 5 optimization series across four distinct market regimes. The goal is to find a strategy averaging **80%+ annual return** with a **maximum drawdown ≤ 40%**. ### 1. Backtest Summary and Comparison The following table summarizes the performance of the candidate portfolios against the **SPY** baseline. | Portfolio | Regime | Total Return | SPY Return | Max Drawdown | Sortino Ratio | | :--- | :--- | :--- | :--- | :--- | :--- | | **Leveraged Alpha** | 2022 Bear | -25.46% | -18.38% | 29.56% | -1.58 | | | 2023 Recovery | -35.15% | **26.19%** | 46.78% | -1.11 | | | 2024 Chop | 11.58% | **25.34%** | 37.05% | 0.51 | | | 2025-26 Current | -33.89% | **8.74%** | 44.04% | -0.63 | | **Tech Gamma** | 2022 Bear | -78.39% | -18.38% | 79.46% | -3.76 | | | 2023 Recovery | **+468.20%** | 26.19% | 98.77% | **3.91** | | | 2024 Chop | -65.73% | 25.34% | 97.06% | 1.11 | | | 2025-26 Current | -61.17% | 8.74% | 72.32% | 0.25 | | **Final Gamma** | 2022 Bear | -22.80% | -18.38% | **23.30%** | -2.35 | | | 2023 Recovery | -20.11% | 26.19% | 42.68% | -1.03 | | | 2024 Chop | -10.40% | 25.34% | 55.99% | 0.13 | | | 2025-26 Current | -18.17% | 8.74% | 25.59% |…
User: ## Round 5 Optimization Results: Feasibility & Regime Analysis I have completed the Round 5 exploration to find a strategy capable of averaging **80%+ annual returns** with a **maximum drawdown ≤ 40%** on your $25,000 account. After testing 24 variations across four distinct market regimes (2022–2026), I have determined that your goal is currently **not feasible** under the requested risk constraints. ### 1. Performance Summary Across Regimes The following table summarizes the performance of the most refined candidate, **'Round 5 Alpha Guard'**, which used a triple-filter entry (Asset > 50 SMA, SPY > 200 SMA, and positive momentum) to protect capital. | Regime | Market Condition | Strategy Return | SPY Return | Max Drawdown | | :--- | :--- | :--- | :--- | :--- | | **2022** | Bear Market | **-61.88%** | -18.38% | 62.60% | | **2023** | AI Recovery | **+137.01%** | +26.19% | 92.67% | | **2024** | Choppy/Sideways | **-49.19%** | +25.34% | 88.68% | | **2025-26** | Current Regime | **-51.15%** | +8.74% | 66.70% | **Average Annual Return: -6.3%** **Worst Regime Drawdown: 92.67% (2023)** ### 2. Goal Feasibility Check: THE GAP Your goal is to **double your account (100% return)** while kee…
Aurora: ## Round 5 Optimization Results: Feasibility & Regime Analysis I have completed the Round 5 exploration to find a strategy capable of averaging **80%+ annual returns** with a **maximum drawdown ≤ 40%** on your $25,000 account. After testing 24 variations across four distinct market regimes (2022–2026), I have determined that your goal is currently **not feasible** under the requested risk constraints. ### 1. Performance Summary Across Regimes The following table summarizes the performance of the most refined candidate, **'Round 5 Alpha Guard'**, which used a triple-filter entry (Asset > 50 SMA, SPY > 200 SMA, and positive momentum) to protect capital. | Regime | Market Condition | Strategy Return | SPY Return | Max Drawdown | | :--- | :--- | :--- | :--- | :--- | | **2022** | Bear Market | **-61.88%** | -18.38% | 62.60% | | **2023** | AI Recovery | **+137.01%** | +26.19% | 92.67% | | **2024** | Choppy/Sideways | **-49.19%** | +25.34% | 88.68% | | **2025-26** | Current Regime | **-51.15%** | +8.74% | 66.70% | **Average Annual Return: -6.3%** **Worst Regime Drawdown: 92.67% (2023)** ### 2. Goal Feasibility Check: THE GAP Your goal is to **double your account (100% return)** while kee…