--- title: "Dynamic Asset Allocator | Equity, Debt and Gold | RupeeCase" description: "A fixed 35% equity core plus two regime switches between equity, debt and gold, rebalanced every 3 weeks. Own it in your demat, 0.2% per rebalance." source_url: "https://www.rupeecase.com/strategies/dynamic-asset-allocator" --- Dynamic multi asset, Nifty Total Market plus debt and gold # Dynamic Asset Allocator dynamic multi asset strategy One fixed equity core, two regime switches. The machine decides how much risk to carry. **Written for** investors who want growth but read a 25% drawdown as opportunity, not panic. **Moderately High** risk band [Invest in Dynamic Asset Allocator](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) [Compare strategies](/compare) 01At a glance ## Dynamic Asset Allocator in four numbers. CAGR**45.18%**Model, back tested Max drawdown**−10.57%**Model, back tested Minimum investment**₹4.76L**About ₹4,75,912 Fee per rebalance**0.2%**Of traded value, nothing else Dynamic Asset Allocator, model**₹388**Nifty 50 TRI, 9.80% CAGR line**₹141** 100 150 200 300 ₹100 in the model in Nov 2022 became ₹388 by Jul 2026; the Nifty 50 TRI line reached ₹141. Model, back tested. As of 27 Apr 2026. After charges, log scale. Not a promise of future returns. 02Three steps ## Compare. Validate. Invest. 1. ### Invest Link your broker and approve each rebalance. Stocks stay in your own demat; RupeeCase never holds your money. [Invest in Dynamic Asset Allocator](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) 2. ### Invest Link your broker and approve each rebalance. Stocks stay in your own demat; RupeeCase never holds your money. [Invest in Dynamic Asset Allocator](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) 3. ### Invest Link your broker and approve each rebalance. Stocks stay in your own demat; RupeeCase never holds your money. [Invest in Dynamic Asset Allocator](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) 03Factsheet ## Dynamic Asset Allocator factsheet Every figure behind the four numbers, in seven parts. Return figures are model, back tested and after charges; each block names its date. Print [PDF factsheet](https://www.rupeecase.com/strategies/factsheets/dynamic-asset-allocator) Performance Holdings and sectors Rebalances Risk metrics Methodology Costs Documents ### PerformanceYears, months, rolling returns, falls, the stress test ### Performance #### Calendar year returns * 2022from Nov**+1.5%** * 2023**+85.6%** * 2024**+53.8%** * 2025**+18.4%** * 2026to Jul**+12.4%** Model, back tested, after charges, 2022 to Jul 2026. Not a promise of future returns. #### What an amount would have become One time Every month Amount, ₹ You put in₹4,76,000 Model value Gain Model, back tested: the published monthly model returns after charges, Nov 2022 to Jul 2026 (45 months). A back test, not a promise of future returns. #### Stress test: drag through the falls Move across the record to read how far the model sat below its last peak, and how long it took to climb back. Month**Mar 2026** Below the last peak**−6.3%** Back to the peak Model value, log scaleBelow the last peak Month on the record Deepest falls, daily record **−10.6%**Feb 2024, 49 days to recover **−8.6%**Mar 2026, 56 days to recover **−7.2%**Oct 2024, 175 days to recover **−6.0%**Oct 2024, 0 days to recover Model, back tested. As of 27 Apr 2026. The scrub reads month end model values from Nov 2022 to Jul 2026, so its falls read shallower than the daily figures on the buttons; days are counted between month ends. Drawdowns of similar size can happen again. Moderately High risk band. #### Monthly returns | Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | Year | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2022 | Janno data | Febno data | Marno data | Aprno data | Mayno data | Junno data | Julno data | Augno data | Sepno data | Octno data | Nov−0.7 | Dec2.2 | Year+1.5% | | 2023 | Jan−2.2 | Feb−2.1 | Mar4.4 | Apr3.2 | May1.6 | Jun6.2 | Jul14.2 | Aug9.0 | Sep6.9 | Oct2.2 | Nov11.4 | Dec10.1 | Year+85.6% | | 2024 | Jan11.4 | Feb1.8 | Mar−3.0 | Apr10.6 | May3.4 | Jun8.5 | Jul2.8 | Aug4.8 | Sep5.5 | Oct−4.3 | Nov2.0 | Dec1.4 | Year+53.8% | | 2025 | Jan−1.7 | Feb−2.8 | Mar5.9 | Apr2.2 | May3.8 | Jun0.3 | Jul−1.5 | Aug2.3 | Sep2.6 | Oct3.1 | Nov1.7 | Dec1.5 | Year+18.4% | | 2026 | Jan0.4 | Feb6.0 | Mar−6.3 | Apr5.6 | May2.0 | Jun2.9 | Jul1.7 | Augno data | Sepno data | Octno data | Novno data | Decno data | Year to date+12.4% | Model, back tested, after charges. Each cell is one calendar month, in percent. Not a promise of future returns. #### Rolling returns ##### Any 1 year Worst+10.2% Median+31.9% Best+127.6% Positive100%of 33 windows Return over each 12 month window. ##### Any 3 years Worst+44.0% Median+50.4% Best+55.4% Positive100%of 9 windows CAGR over each 36 month window. Model, back tested, from the month end model values, Nov 2022 to Jul 2026. Not a promise of future returns. #### Deepest falls 1. **−5.07%**20 Oct 2023 to 3 Nov 2023*14 days* 2. **−5.07%**20 Oct 2023 to 3 Nov 2023*14 days* 3. **−5.07%**20 Oct 2023 to 3 Nov 2023*14 days* 4. **−5.07%**20 Oct 2023 to 3 Nov 2023*14 days* 5. **−5.07%**20 Oct 2023 to 3 Nov 2023*14 days* Model, back tested, daily record over since inception: from the peak to the low, and the days until the record was back at that peak. ### Holdings and sectors53 holdings, 11 sectors ### Holdings and sectors #### 53 holdings * Equity core**35%** * Debt**40%** * Equity, regime switch**25%** * STLTECH * HFCL * CUPID * BALAMINES * AVALON * ASTRAMICRO * SYRMA * KIRLOSENG * APOLLO * RATEGAIN * LLOYDSENGG * IDEA * RAIN * SUPRIYA * WELCORP * MARKSANS * WOCKPHARMA * KIRLPNU * ARVIND * TDPOWERSYS * ADANIGREEN * SAREGAMA * DIACABS * LAURUSLABS * GOLDBEES*Gold* * PARAS * MSTCLTD * AEGISLOG * INOXINDIA * TEJASNET * WABAG * ZEEL * IFCI * J&KBANK * SFL * DEEPAKFERT * HCC * THYROCARE * NIFTY4-8YRGESC*Debt* * BHEL * RRKABEL * TRITURBINE * ADANIPOWER * SKYGOLD * ADANIENSOL * GLAND * TATACOMM * VEDL * SKIPPER * HONASA * VIJAYA * TATATECH * ATHERENERG [Live quantities, prices and book values are in the app](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) The current composition published for the strategy: a fixed equity core plus regime switches. Where the switches sit moves with the model's signal. Model portfolio, not a recommendation to buy or sell any stock. #### Sector allocation * Other, not yet mapped**43.1%** * IT & Technology**9.8%** * Capital Goods**9.8%** * Power & Utilities**9.8%** * Chemicals**5.9%** * Metals & Mining**5.9%** * Pharma & Healthcare**5.9%** * FMCG & Consumer**3.9%** * Banking & Financial**2.0%** * Realty & Construction**2.0%** * Auto & Components**2.0%** 11 sectors in the equity sleeve; the largest mapped sector is IT & Technology at 9.8%, and 43.1% of the sleeve is not yet in the sector map. Sector exposure follows the equity sleeves and shifts with the regime switches. When the switches sit in debt and gold, sector risk shrinks with them. Sector map curated against NSE listings. #### Sector weight by year | Sector | 2022 | 2023 | 2024 | 2025 | 2026 | Now | | --- | --- | --- | --- | --- | --- | --- | | Other, not yet mapped | 76 | 70 | 69 | 69 | 33 | 43 | | Power & Utilities | 3 | 5 | 5 | 4 | 8 | 10 | | Capital Goods | 4 | 4 | 6 | 3 | 8 | 10 | | IT & Technology | 2 | 2 | 2 | 3 | 5 | 10 | | Metals & Mining | 2 | 6 | 5 | 6 | 11 | 6 | | Pharma & Healthcare | 0 | 2 | 2 | 3 | 5 | 6 | | Chemicals | 0 | 0 | 2 | 2 | 5 | 6 | | FMCG & Consumer | 3 | 2 | 3 | 2 | 3 | 4 | | Banking & Financial | 10 | 6 | 4 | 5 | 9 | 2 | | Auto & Components | 1 | 2 | 1 | 2 | 7 | 2 | | Realty & Construction | 0 | 0 | 0 | 0 | 1 | 2 | | Energy & Oil & Gas | 2 | 1 | 1 | 1 | 4 | out | | Textiles | 0 | 0 | 0 | 0 | 1 | out | 63 published rebalances, 13 sectors touched, 11 held on the latest list (26 Jun 2026). Each cell is the average weight that year, equal weighted at the stock level; darker is a higher weight. ### Rebalances63 published, latest 26 Jun 2026 ### Rebalances #### The rebalance record published rebalances63 first in the record2 Dec 2022 about 17 a yearEvery 3 weeks latest published26 Jun 2026 Rebalances run on a fixed calendar; you approve each one before your broker places the orders. #### Latest rebalance, 26 Jun 2026 Against the list of 5 Jun 2026: **12 in**, **19 out**, 41 held, 53 on the list. ##### In * PARAS * MSTCLTD * AEGISLOG * INOXINDIA * TEJASNET * WABAG * ZEEL * IFCI * J&KBANK * SFL * DEEPAKFERT * THYROCARE ##### Out * WEBELSOLAR * COHANCE * QPOWER * JAYNECOIND * GALLANTT * HSCL * LLOYDSME * SCI * GOKULAGRO * KRN * LLOYDSENT * AVANTIFEED * AZAD * PTC * PNBHOUSING * NLCINDIA * OLAELEC * JAIBALAJI * ADVENZYMES ##### Held * STLTECH * HFCL * CUPID * BALAMINES * AVALON * ASTRAMICRO * SYRMA * KIRLOSENG * APOLLO * RATEGAIN * LLOYDSENGG * IDEA * RAIN * SUPRIYA * WELCORP * MARKSANS * WOCKPHARMA * KIRLPNU * ARVIND * TDPOWERSYS * ADANIGREEN * SAREGAMA * DIACABS * LAURUSLABS * GOLDBEES * HCC * NIFTY4-8YRGESC * BHEL * RRKABEL * TRITURBINE * ADANIPOWER * SKYGOLD * ADANIENSOL * GLAND * TATACOMM * VEDL * SKIPPER * HONASA * VIJAYA * TATATECH * ATHERENERG Model portfolio, back tested rebalance record. Entered plus held is that date's list size, which can differ from the 52 stock target. Tickers are not recommendations. #### Recent rebalances | Date | On the list | In | Out | | --- | --- | --- | --- | | 26 Jun 2026 | 53 | +12 | −19 | | 5 Jun 2026 | 60 | +16 | −19 | | 15 May 2026 | 63 | +19 | −24 | | 24 Apr 2026 | 68 | +26 | −15 | | 3 Apr 2026 | 57 | +16 | −17 | | 13 Mar 2026 | 58 | +12 | −22 | | 20 Feb 2026 | 68 | +21 | −8 | | 30 Jan 2026 | 55 | +12 | −11 | | 9 Jan 2026 | 54 | +12 | −11 | | 19 Dec 2025 | 53 | +12 | −12 | | 28 Nov 2025 | 53 | +9 | −13 | | 7 Nov 2025 | 57 | +15 | −10 | [Every rebalance with its names](/rebalance/dynamic-asset-allocator/)[Rebalance history, CSV](/data/rebalances/dynamic-asset-allocator.csv) Names on the list, names in and names out at each date; the history page and the CSV have every name. #### Sector shifts of 10 points or more 1. 16 Feb 2024Other, not yet mapped **+11 pts** 2. 16 Feb 2024Other, not yet mapped **+11 pts** 3. 16 Feb 2024Other, not yet mapped **+11 pts** 4. 16 Feb 2024Other, not yet mapped **+11 pts** 5. 16 Feb 2024Other, not yet mapped **+11 pts** 6. 16 Feb 2024Other, not yet mapped **+11 pts** 6 such shifts in 63 rebalances; the latest six. Equity sleeve, equal weighted at the stock level. ### Risk metricsSharpe 2.32, volatility 16.54% ### Risk metrics #### Dynamic Asset Allocator against the Nifty 50 | Metric | Dynamic Asset Allocator | Nifty 50 | | --- | --- | --- | | Sharpe ratio | 2.32 | 0.67 | | Sortino ratio | 2.30 | 0.68 | | Calmar ratio | 4.25 | 0.52 | | Volatility, a year | 16.54% | 12.37% | | Max drawdown | −10.57% | −14.93% | | Best week | +7.93% | +5.27% | | Worst week | −5.95% | −4.33% | | Weeks up | 66.84% | 54.74% | | Average up week | +1.94% | +1.37% | | Average down week | −1.73% | −1.34% | Model, back tested, after charges. Weekly figures over the since inception window to 13 Jul 2026; the Nifty 50 over the same window. Not a promise of future returns. #### Risk band **Moderately High** on a scale from Low to Very High Deepest model fall−10.57% Time horizon5 years or longer. Drawdowns of 11% have happened in the backtest and can happen again. Capital you might need within 12 months should not be here. ##### Walk the risk band [One step safer (Moderate)Allcap Multi AssetCAGR 40.5%, Sharpe 1.81, max drawdown −21.3%](/strategies/allcap-multi-asset)[One step bolder (High)MidcapCAGR 38.8%, Sharpe 1.49, max drawdown −24.9%](/strategies/midcap) CAGR, Sharpe and max drawdown on the cards: Model, back tested. As of 27 Apr 2026. [Take the risk profile](/risk-profile) to see which bands sit within yours. ### MethodologyNifty Total Market plus debt and gold, every 3 weeks ### Methodology #### How it works 1. 4**Rebalance**Every 3 weeks the model runs again end to end and republishes the full composition, so every switch is on record. 2. 4**Rebalance**Every 3 weeks the model runs again end to end and republishes the full composition, so every switch is on record. 3. 4**Rebalance**Every 3 weeks the model runs again end to end and republishes the full composition, so every switch is on record. 4. 4**Rebalance**Every 3 weeks the model runs again end to end and republishes the full composition, so every switch is on record. #### Configuration UniverseNifty Total Market plus debt and gold TypeDynamic multi asset SleevesEquity, debt and gold, shifted by regime Holdings52 RebalanceEvery 3 weeks, about 17 a year Risk bandModerately High BenchmarkNifty 50; charts draw the Nifty 50 TRI as a CAGR line Minimum capitalAbout ₹4,75,912 Back test from18 Nov 2022 Metrics windowSince inception PricesNSE BhavCopy; the back test deducts brokerage, STT, exchange charges and GST #### Why Dynamic Asset Allocator On the local train, sample data The only dynamic card on the lineup. Every other card holds a fixed asset mix and rotates stocks inside it. This one moves the mix itself. A fixed 35% equity core stays invested through every regime, while the other 65% is split into two switches the model controls. The first switch is 40% of the portfolio and flips between equity and debt. The second is 25% and flips between equity and gold. When the model reads the regime as risk-on, both switches lean into equity and the card runs close to fully invested. When it reads risk-off, the switches rotate into LiquidCase and GoldBees and the equity exposure shrinks to the core. The equity sleeves screen the Nifty Total Market, roughly 750 stocks across all cap segments, so the stock selection engine is the same one the static cards run. What is different is that the machine also decides how much of the portfolio that engine gets to drive. One honest caveat: this card launched later than the static cards, so its figures run since inception rather than the rolling 5 year window the rest of the lineup reports. Compare with that in mind. The current composition, how much sits in equity, debt, and gold right now, is published alongside this card and updates with each rebalance. This suits investors who want the model to manage the asset mix, not just the stock list. If you have ever known you should trim equity in a frothy market and not done it, this card exists to make that decision for you, every 3 weeks, without asking how you feel. ##### Key takeaways * The only dynamic card: the model moves the asset mix itself * A fixed 35% equity core plus 40% equity-or-debt and 25% equity-or-gold switches * Risk-on means near-fully invested, risk-off means the switches rotate to debt and gold * Figures run since inception, not the rolling 5 year window A description of the strategy, not a recommendation. Decide your own allocation, or ask a SEBI registered investment adviser. #### Who it is written for Written forInvestors who want growth but read a 25% drawdown as opportunity, not panic CapitalAbout ₹4,75,912, one share of every holding at recent prices. More capital buys more of each holding and tracks the model weights more closely. #### How the rule was built Machine learning is used in research to search and optimise the model behind each strategy: which signals rank the universe, how many names to hold and how often to rebalance, tested out of sample. The rule that ships is then frozen and published, so the live strategy is a fixed, readable algorithm, not a black box that changes on its own. [The engine, tick by tick execution data and the audit trail](/technology) #### Learn the mechanics * [Modern portfolio theorywhy multi asset cushions help](/learn/path-4/module-4-1-modern-portfolio-theory) * [Risk managementhow the debt and gold sleeves work](/learn/path-4/module-4-5-risk-management) * [Combining factorsthe multi asset construction recipe](/learn/path-3/module-3-6-combining-factors-multi-factor-construction) * [Momentum factorthe engine behind these strategies](/learn/path-3/module-3-1-momentum-factor-deep-dive) Free modules from the RupeeCase Learn library. No sign up. ### Costs0.2% of traded value per rebalance ### Costs #### One fee per rebalance **0.2%**of traded value, charged only when a rebalance trades * No subscription, no AUM fee, no performance fee. * No lock in: the stocks sit in your own demat and you can sell any day the market is open. * Broker side charges (brokerage, STT, exchange charges, GST) are separate and paid to your broker. #### A year on the minimum Minimum capital₹4,75,912 Rebalances a yearAbout 17, every 3 weeks Book traded each time30%, an assumption Platform fee a year, about₹4,9501.04% of capital Higher turnover or more capital raises the fee in proportion. #### Costs inside the back test Gross return+325.33%before costs Estimated costs−39.40 ptsbrokerage, STT and taxes Net return+285.93%after costs Nifty 50, same window+31.61%cumulative Model, back tested, cumulative over the since inception window to 13 Jul 2026. Net is gross minus estimated costs, as on the current factsheet. Not a promise of future returns. #### Work it out for your amount [Fee calculator](/fee-calculator)[Pricing, with a worked example](/pricing) ### DocumentsPrint, PDF factsheet, rebalance CSV ### Documents #### Download and print * **Print this factsheet**Or save it as a PDF from the print dialog. Every section above, on clean pages. * [Download the PDF factsheetThe two page factsheet on the current site; enter your email to have a copy sent.](https://www.rupeecase.com/strategies/factsheets/dynamic-asset-allocator) * [Rebalance history, CSVEvery published list, 63 rebalances, 2 Dec 2022 to 26 Jun 2026.](/data/rebalances/dynamic-asset-allocator.csv) * [Rebalance history pageEach rebalance with what came in and what went out.](/rebalance/dynamic-asset-allocator/) * [This strategy as plain textMarkdown, for reading tools and AI assistants.](/strategies/dynamic-asset-allocator.md) * [DisclaimersHow the model figures are made and what they are not.](/disclaimers) RupeeCase is a technology platform, not a fund, a PMS or a SEBI registered investment adviser. Model, back tested. As of 27 Apr 2026. Model figures are after estimated charges and are not actual client returns. Past performance does not guarantee future returns; capital can be lost. 04Questions ## Before you commit capital. ### What is the Dynamic Asset Allocator strategy? One fixed equity core, two regime switches. The machine decides how much risk to carry. Dynamic Asset Allocator allocates across EQUITY VS DEBT, EQUITY VS GOLD based on a momentum and risk signal, and rebalances every 3 weeks. ### What is the minimum investment for Dynamic Asset Allocator? About ₹4,75,912, enough to hold one share of every name in the current book at recent prices. The figure moves with the prices of the holdings. ### How does Dynamic Asset Allocator compare to the Nifty 50? Dynamic Asset Allocator shows a model CAGR of 45.18% against 9.80% for the Nifty 50 TRI CAGR line (Jan 2021 to Jul 2026), with a Sharpe ratio of 2.32. Model, back tested. As of 27 Apr 2026. Past performance does not guarantee future returns. ### What is the worst drawdown Dynamic Asset Allocator has experienced? 10.57% peak to trough in the model record. The deepest period ran 49 days, from 9 Feb 2024 to 29 Mar 2024. Model, back tested. As of 27 Apr 2026. Drawdowns of similar size can happen again, so size the position for it. ### What are the fees on Dynamic Asset Allocator? 0.2% of traded value per rebalance. No subscription, no AUM fee, no performance fee. On the minimum capital of ₹4,75,912, the platform fee works out to about ₹4,950 a year (1.04% of capital). Assumptions: about 17 rebalances a year (every 3 weeks), 30% of the book traded at each rebalance, 0.2% of traded value. Higher turnover or more capital raises the fee in proportion. Broker side charges (brokerage, STT, exchange charges, GST) are separate. ### Can I exit Dynamic Asset Allocator at any time? Yes. No lock-in. Holdings sit in your own broker demat account and you can sell any name on any market day. Switching strategies or pausing the rebalance is a one-click action on the platform. 05Same family ## All market: Nifty Total Market. [All 18 strategies](/strategies/#sxPick) [Moderately HighMomentum Allcap Nifty Total Market, 50 stocks, every 2 weeks CAGR, model44.70%Max DD−22.7%From₹2.25L Moderately High risk, momentum](/strategies/allcap) [ModerateMulti asset Allcap Multi Asset Nifty Total Market, 52 stocks, every 2 weeks CAGR, model40.47%Max DD−21.3%From₹2.81L Moderate risk, multi asset](/strategies/allcap-multi-asset) [ModerateHybrid TotalMarket Hybrid Nifty Total Market, 51 stocks, every 2 weeks CAGR, model39.53%Max DD−21.8%From₹2.81L Moderate risk, hybrid](/strategies/totalmarket-hybrid) CAGR and Max DD on the cards: Model, back tested. As of 27 Apr 2026. Explore next ## Go deeper on this strategy. * [Free module 7.8Macro Regime Investing, Tying It All Together10 min read](/learn/path-7/module-7-8-macro-regime-investing) * [TierMulti asset core tier strategies5 strategies grouped by job](/strategies/by-tier/multi-asset) * [CalculatorDrawdown and recoveryFree, with the formula and a worked example](/learn/tools/drawdown-recovery-calculator) * [SectorCapital Goods stocksNSE sector across the 18 index algos](/sectors/capital-goods) * [StockADANIENSOL, Adani Energy SolutionsOn 12 of 18 latest lists](/stocks/ADANIENSOL) * [Free module 6.9Gold, Commodities, and International Investing for Indian Investors8 min read](/learn/path-6/module-6-9-gold-commodities-international) Ready when you are ## Dynamic Asset Allocator 45.18% CAGR, model, back tested. About ₹4.76L to start. Every 3 weeks, you approve each one. [Invest in Dynamic Asset Allocator](https://invest.rupeecase.com/signup?strategy=dynamic-asset-allocator) [Compare strategies](/compare) 0.2% of traded value per rebalance. No AUM fee, no lock in. Line behind: the Dynamic Asset Allocator model record, after charges, as of 27 Apr 2026. Not a promise of future returns.