--- title: "Building Your First Systematic Strategy | RupeeCase Learn" description: "Universe selection, signal design, portfolio construction, cost modelling, and going live. A complete walkthrough of building a systematic strategy from." source_url: "https://www.rupeecase.com/learn/path-2/module-2-5-building-your-first-strategy" --- [Path 02 5 of 5](/learn/path-2/)Building Your First Systematic Strategy[Path 02](/learn/path-2/) You've covered a lot of ground in Path 2. You know why rules beat gut feeling (2.1). You understand the five major factors (2.2). You can read risk metrics (2.3) and evaluate a [backtest](/learn/glossary#backtest) honestly (2.4). Now it all comes together. Here is the complete process of building a systematic strategy from scratch: every decision, the trade offs, and what each one looks like in a real strategy on RupeeCase. The same five decisions sit under a simple momentum screen and under a multi factor portfolio run by an institution. Learn them once and you can read any strategy. ## The five decisions in every systematic strategy Every systematic equity strategy, no matter how simple or complex, requires five design decisions. Get these right and you have a strategy worth backtesting. 1 Universe: which stocks are eligible? The universe defines your opportunity set, liquidity profile, and benchmark. Most systematic strategies use a liquidity-filtered index universe. Real examples from the RupeeCase lineup: the **Nifty 50** for Nifty 50 Equal Weight, and the **Nifty Total Market**, about 750 stocks, filtered to share prices under ₹5,000, for Allcap. A wider universe gives the signal more to choose from; a narrower one is more liquid and easier to hold in small accounts. 2 Signal: how do you rank stocks? The signal is the factor, the measurable characteristic that ranks stocks from most to least attractive. Momentum: rank by the 12 month return skipping the latest month, or a volatility adjusted 6 and 12 month blend. Value: rank by P/B or P/E. Quality: composite of ROE, D/E, earnings stability. The signal must be **objective** (same calculation for every stock), **historically documented** (not invented for this backtest), and **available at decision time** (no look-ahead bias). 3 Portfolio: how many stocks, how weighted? Tradeoff: fewer stocks = higher potential alpha, higher volatility. More stocks = smoother ride, lower tracking error. For most individual investors, 20 to 50 stocks is a sensible range; the RupeeCase Allcap strategy holds 50. **Equal weight** (1/N each) is simplest and most robust. Volatility-weighted (inverse volatility) typically improves Sharpe. Market-cap weighting defeats the purpose of factor selection. 4 Rebalance: when and how often? Tradeoff: more frequent = fresher signals, more trading costs. Momentum signals go stale fast, so momentum strategies rebalance often: Allcap rotates every **two weeks**. Value and quality signals move slowly, so **quarterly** or half yearly is common. Nifty 50 Equal Weight simply resets its weights every **four weeks**. Faster is not better by default; every extra rebalance has to earn its cost. 5 Cost model: what are realistic costs? Every trade costs brokerage, STT (0.1% on each side of a delivery trade), exchange charges, GST, stamp duty and slippage, plus any platform fee (RupeeCase charges 0.2% of traded value). Statutory charges alone are about 0.24% of the amount on a round trip. A back test that assumes 0.05% is hiding most of the real cost. 1. **Costs**What every trade really costs. 2. **Costs**What every trade really costs. 3. **Costs**What every trade really costs. 4. **Costs**What every trade really costs. 5. **Costs**What every trade really costs. ## A complete strategy specification Here's what a properly documented strategy specification looks like. Every decision is explicit. Nothing is ambiguous. Strategy Specification Simple Momentum, Nifty 500 UniverseNifty 500 (point-in-time constituents) Signal12M-1M trailing price return SelectionTop 30 stocks by momentum rank WeightingEqual weight (1/30 each) RebalanceFirst trading day of each month Cost assumptionStatutory charges at actual rates, plus brokerage and an allowance for slippage BenchmarkNifty 500 TRI This specification is complete. Any programmer given this page would build exactly the same strategy. That's what systematic means: no ambiguity at execution time. Now compare it with a real one. Here is the same template filled in for a strategy you can actually see on RupeeCase. Textbook #### Simple Momentum, Nifty 500 * Universe: [Nifty 500](/learn/glossary#nifty-500) * Signal: 12 month minus 1 month return * Holdings: top 30, equal weight * Rebalance: first trading day of each month * Benchmark: Nifty 500 TRI RupeeCase Allcap #### Momentum, Nifty Total Market * Universe: Nifty Total Market, about 750 stocks, price under ₹5,000 * Signal: momentum ranking * Holdings: top 50, equal weight, about 2% each * Rebalance: every 2 weeks * Benchmark shown: [Nifty 50](/learn/glossary#nifty-50) Tap a side or swipe across the card. Allcap details from its strategy page. ## Evaluating your backtest honestly | What to check | What you want to see | Red flag | | --- | --- | --- | | CAGR vs benchmark | A margin over the benchmark that holds across most of the period | Alpha concentrated in 1 to 2 exceptional years only | | Max drawdown | A fall you have decided in advance you can hold through | Much deeper than the benchmark; multi year recovery | | Sharpe ratio | Above the benchmark's, over a window that includes a fall | Sharpe above 2.5 on long only equity | | Annual performance | Positive alpha in most years | Alpha only in 1 exceptional year | | Parameter sensitivity | Similar results at 9M, 10M, 11M, 12M lookback | Only 12M works; 11M collapses | | Cost impact | Net returns still attractive vs benchmark | Gross attractive; net mediocre | ## The most important thing: stick to it Most of Path 2 has been the thinking work of strategy design. But in my years of trading, the biggest destroyer of returns I have seen isn't bad strategy design. It's good strategy design abandoned at exactly the wrong moment. Every momentum strategy has stretches, sometimes 6 to 12 months or more, where it lags the index. The portfolio is doing everything right: buying the highest momentum stocks, [rebalancing](/learn/glossary#rebalancing) on schedule. But momentum is out of favour and the strategy is down 20% while the market is flat. Here is a real one. The Allcap model peaked on 20 December 2024, fell 22.7% and did not get back to that peak until 10 April 2026: 476 days underwater. It ended calendar 2025 down 4.2%. Then 2026 to July was up 26.6%. Every month of it is in the grid below. Allcap, every month since 2022: count the red stretches Monthly model returns for Allcap from 2022, from the published nav file. The weak run starts in late 2024 and lasts into early 2026. Drawdown dates and yearly returns from the RupeeCase strategy data, model, back tested, as of 8 Aug 2026. Not client returns and not a promise of future returns. This is when most investors abandon the strategy. And it's almost always the worst time to do so, the subsequent recovery is often sharp. The investors who stick with the process through the bad periods capture the good ones. **The process is the product.** A systematic strategy only delivers its stated returns if you follow it consistently. If you override it every time it underperforms, you don't have a systematic strategy, you have a discretionary strategy with systematic window dressing. Before deploying real money, answer honestly: what is the maximum drawdown I can actually hold through without overriding the system? Choose a strategy whose historical max drawdown is below that number. That is your real constraint. What would you do? ### It is February 2025. Your Allcap model portfolio is well below its December 2024 peak, and the index is falling too. 1. **Check the rules are running, then stay**You sit through the rest of a 476 day drawdown, which was within the kind of falls the model had shown before, and you are there for the recovery. 2. **Check the rules are running, then stay**You sit through the rest of a 476 day drawdown, which was within the kind of falls the model had shown before, and you are there for the recovery. Model, back tested, from the RupeeCase strategy data as of 8 Aug 2026. A past episode, not a forecast. [NSE, Transaction Charges Schedule (for cost modelling)](https://www.nseindia.com/trade/charges) [NSE Indices, Nifty 500 (benchmark and universe reference)](https://www.niftyindices.com/indices/equity/broad-based-indices/nifty500) ## A worked example: your strategy on one page Try writing your own before you invest in anyone else's. Say you want something calmer than pure momentum. A first draft could read: Strategy Specification, a first draft Momentum with a cushion UniverseNifty 500, point in time Signal6 and 12 month return, each divided by volatility, averaged SelectionTop 40, equal weight, 80% of capital Cushion10% short term debt, 10% gold RebalanceEvery four weeks; reset the 80/10/10 split each time Drawdown I accept25%, decided before investing BenchmarkNifty 500 TRI That is close to how the [Allcap Multi Asset](/strategies/allcap-multi-asset) strategy is built: the Allcap momentum sleeve plus a 10% debt and 10% gold sleeve, rebalanced every two weeks. Its model, back tested worst fall was 21.3%, against 22.7% for Allcap alone, as of 8 Aug 2026. The cushion did not stop the fall. It made it a little shorter and a little shallower, which is often the difference between holding on and giving up. ## Common mistakes when building a first strategy **Starting from the back test.** Write the rules first, then test. If you tune the rules to the back test, you are fitting the past. **Too few stocks.** Ten stocks makes every single name a big bet. The factor needs breadth to show up. **No drawdown limit written down.** If you have not decided the fall you will accept, the market will decide for you, at the worst moment. **Changing two things at once.** When you tweak a rule, change one thing and test it. Otherwise you never know what helped. **Myth**A good strategy should beat the index every year. **Fact**No real strategy does. Allcap's model lost 4.2% in 2025 after two very strong years. A strategy is judged over its full cycle, against the drawdown you agreed to before you began. ## How this shows up in RupeeCase On RupeeCase you do not have to code the five decisions yourself. Each strategy page lays them out, universe, ranking, holdings, weighting, cadence, and shows the model, back tested record, the worst drawdowns and the benchmark. You compare, you check the back test, and you invest; the stocks sit in your own demat, and at each rebalance you see the orders before they go to your broker. Path 3 goes factor by factor, so you know exactly what each ranking rule is betting on. Can I run my own custom rules on RupeeCase?Today you choose from the published strategies, each a fixed set of rules. The analysis and research module that is coming for qualified investors and institutions will add deeper tools. Until then, the template on this page is the way to think through a strategy of your own. How much money do I need for a 50 stock strategy?Enough that each position buys at least one share of the most expensive name at its target weight. That is why strategies publish a minimum: Allcap's is ₹2,25,000, with a price cap of ₹5,000 a share to keep it reachable. Should I run two strategies at once?Many investors do, so that one rule's bad stretch is cushioned by another's. Check that they really differ, in universe or factor, otherwise you own the same bet twice. What does Building Your First Systematic Strategy cover?Everything from Path 2 in one place. Universe, signal, sizing, costs, backtest, going live. A complete walkthrough of how a systematic strategy is actually built from scratch. It works through The five decisions in every systematic strategy, A complete strategy specification, Evaluating your backtest honestly, The most important thing: stick to it and more. It is module 2.5 of Path 2, Systematic Investing Fundamentals, about 9 minutes of reading, free. TTry it ## Building Your First Systematic Strategy, in numbers. Does your historical sample carry enough independent regimes? Your numbers, the module's formula, nothing stored. Calculator ### Backtest Sufficiency Check A backtest is honest only if its sample includes enough independent regime cycles. This sanity check tells you whether the statistical claim is credible. Backtest period (years)Strategy holding period (months)Average bull / bear cycle (years) [Full calculator: Goal planner](/learn/tools/goal-planner) AApply it on RupeeCase ## Allcap Multi Asset 50 stocks, 10% debt, 10% gold. The broad-market engine with a cushion. An index built on the rules this path teaches, multi asset with debt and gold sleeves, held stock by stock in your own demat. Risk band: Moderate. [See the strategy](/strategies/allcap-multi-asset)[Sign up for RupeeCase](https://invest.rupeecase.com/signup?strategy=allcap-multi-asset) [CAGR40.5%Sharpe1.81Max DD−21.3%Minimum281000Model, back tested, as of 27 Apr 2026. Not client returns, not a promise.](/strategies/allcap-multi-asset) QQuick check ## 10 questions, 7 to pass. Pick an answer and the explanation appears. Your result stays on this device and counts towards the Path 02 certificate. 02Path test ## 31 questions. 22 correct earns the certificate. This test covers everything in Path 2: why rules outperform discretion, the five major factors, six risk metrics, backtest evaluation, and strategy design. You’ve read the modules, now prove it. Questions cover modules 2.1 to 2.5, in a shuffled order, with no timer. Your score stays on this device. * **31**questions * **22**to pass (70%) * **5**modules covered Start the testPass the 5 module quizzes too if you want every stop of the path ticked. Passed ### Certificate ID Download PNGPrint or save as PDF[Check the ID](/learn/certificates/verify)Retake the test [All your certificates, and the master certificate](/learn/certificates) CCheck yourself ## Path 02 so far. Your quick check results on this device, stop by stop. 1. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 2. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 3. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 4. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 5. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) 6. [TPath test, 31 questionsNot yet](/learn/path-2/module-2-5-building-your-first-strategy#pathTestSection) Explore next ## Put the module to work. * [GuideHow to pick stocks systematically: a five part rules recipeUniverse, filters, score, portfolio and calendar: the five parts of a stock rule.](/guides/how-to-pick-stocks-systematically) * [Blog noteRecipe versus paragraph: reading a methodology pageCosts: MF, PMS, RupeeCase, a short note](/blog/2026-05-27-evening-methodology-open-rule/) * [Free module 3.1The Momentum Factor11 min read](/learn/path-3/module-3-1-momentum-factor-deep-dive) Community ## Join my WhatsApp group. Scan the code, fillFill one short form, and join my WhatsApp group. Slides, sources, factsheets and the rebalance logs live there, and members join a daily Google Meet with me. [Sign up for RupeeCase](https://invest.rupeecase.com/signup) [Join the WhatsApp group](https://forms.gle/C6HMtM1Z2GfeocQV7) [One form, one group](https://forms.gle/C6HMtM1Z2GfeocQV7)Scan with your phone camera SSources ## Where the figures come from. 1. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. 2. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. 3. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. 4. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. 5. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. 6. Asness, C., Moskowitz, T. & Pedersen, L. (2013). Value and Momentum Everywhere. Journal of Finance. GTerms ## 6 terms from this module. UniverseThe set of stocks eligible for selection by the strategy. Typically a liquidity-filtered index like Nifty 500. SignalThe factor metric used to rank stocks, e.g., 12M-1M momentum, P/B for value, ROE composite for quality. Equal weightingAllocating the same capital to each stock in the portfolio (1/N). Simplest and most robust weighting for most factor strategies. Volatility weightingAllocating inversely proportional to each stock's volatility, giving higher weight to less volatile stocks. Typically improves Sharpe ratio. Strategy specA complete, unambiguous written definition covering universe, signal, portfolio size, weighting, rebalance frequency, and cost assumptions. Parameter sensitivityTesting how strategy performance changes across a range of parameter values. Robust strategies produce similar results across reasonable adjacent values. [All 91 terms in the glossary](/learn/glossary) [From the podcast archiveEP29: Pro Just Reset. Day One Of May Series. Buy Dips With HedgeThe Tanmay Edge, 29 Apr 2026, graded 3/5](/podcast/episodes/2026-04-29)[Pillar guideSystematic Investing18 modules across paths 2, 3, 5](/learn/systematic-investing) Education only, not investment advice. RupeeCase is a technology platform operated by QC Alpha Technologies Pvt Ltd; it is not a fund, a PMS or a SEBI registered investment adviser. Model returns are back tested and not a promise of future returns. Figures carry the date they were checked.