Four momentum and draw-up strategies tested across 87 variants. Strategy 14's single 12-1 momentum rule outperforms by 4.34 lakh. Monthly draw-up produces 14 outperforming thresholds. Weekly draw-up and ATH breakout go a combined 0 for 50. Momentum timing on Nifty works monthly, not weekly or intraday.

The premise

The strategies in this post are the mirror image of the drawdown group. Instead of buying dips, these strategies buy into strength, waiting for Nifty to confirm upward momentum before deploying accumulated bank capital. The logic is that momentum is persistent: a market moving up tends to keep moving up, so investing after a confirmed move captures a trending regime rather than a random entry.

Four strategies test this across different timeframes and signal definitions: a 12-month momentum filter, weekly draw-up thresholds, monthly draw-up thresholds, and ATH breakout percentages.

How all four strategies work

Same framework throughout: 10,000 deposited monthly, 5% bank compounding, 0.03% transaction cost, all units held permanently. Benchmark is a capital-matched monthly SIP. SIP XIRR: 11.9907%.

Strategy 14 — 12-1 Momentum SIP: Each month, the strategy checks Nifty's return over the prior 12 months, excluding the most recent month (the standard 12-1 momentum calculation that skips the reversal month). If the 12-1 return is positive, the full bank balance deploys. If negative, the bank accumulates. One variant.

Strategy 7 — Weekly Draw-Up: The strategy monitors Nifty's weekly return. When the weekly gain exceeds a threshold (1% to 18.5% in 0.5% steps), the full bank balance deploys. 36 thresholds tested.

Strategy 9 — Monthly Draw-Up: Same logic but at monthly frequency. When Nifty's monthly return exceeds a threshold (1% to 20% in 0.5% steps), the full bank deploys. 36 thresholds tested.

Strategy 13 — ATH Breakout: The strategy monitors how far Nifty is below its prior all-time high. When the gap to ATH falls within a threshold (minus 7% to plus 6% from ATH), the bank deploys. 14 thresholds tested.

Strategy 14: one variant, one clear result

XIRR 12.0559% versus SIP's 11.9907%. Alpha +0.065%. Final portfolio 3.3076 crore against SIP's 3.2641 crore. Additional wealth: 4.34 lakh. 269 trades executed, 98 skipped. Idle bank at end: 20,047.

The 12-1 momentum signal has genuine predictive power on Nifty. When the prior year's trend (excluding the reversal month) is positive, deploying is correct far more often than not. The 98 skipped months are the periods when the signal correctly identified a negative trend, Nifty was in drawdown or consolidation, and the bank accumulated instead. The 4.34 lakh edge comes from those avoided bad entries, not from better timing of good ones.

The strategy ran for 256 bull months and 98 bear months over 367 total months. The longest bull streak was 60 months. The longest bear streak was 25 months. These are real regime lengths, not noise. The signal was tracking extended trend periods, which is exactly what 12-1 momentum is designed to do.

Strategy 7: 36 thresholds, zero winners

Every weekly draw-up variant underperforms SIP. The best is the 1% threshold: XIRR 11.9875%, trailing SIP by 21,197. It nearly matches SIP because at 1%, almost every positive week triggers a deploy, making the strategy nearly equivalent to always investing. The alpha is minus 0.003%.

As the threshold rises, the result deteriorates monotonically. The 5% threshold trails by 5.97 lakh. The 7% threshold trails by 47.99 lakh. Beyond 8%, the strategy executes fewer than 20 trades over 30 years and trails by 60 lakh to 1.69 crore. Six thresholds from 15.5% to 18.5% never trigger at all, resulting in pure 5% bank compounding for 30 years and a final portfolio of 84.6 lakh against SIP's 3.26 crore.

Weekly momentum on Nifty is too noisy to be a useful deployment signal. A 5% weekly gain is not a regime confirmation. It is often a single-session spike followed by a mean reversion. Deploying the full bank into that spike means buying at the top of a short-term move, which is the opposite of what a momentum strategy should do.

Strategy 9: 14 outperform, but narrowly

Monthly draw-up is a different story. At the 7.5% threshold, XIRR is 12.0494%, alpha +0.059%, additional wealth 3.91 lakh. 51 trades, zero skipped, 2.96 lakh idle at period end.

14 of 36 thresholds outperform SIP, all clustered between 3% and 10%. The outperformance peaks at 7.5% and falls away on both sides. Below 3%, the strategy fires too often on weak monthly moves and begins to resemble noisy SIP. Above 10%, it fires too rarely, 26 trades or fewer, leaving too much capital in the 5% bank.

The 7.5% monthly threshold is meaningful because a 7.5% monthly gain on Nifty is not common. It tends to occur after sharp recoveries from significant drawdowns, the kind of momentum that reflects genuine regime resumption rather than noise. The strategy correctly identifies those moments and deploys into them.

The underperforming thresholds below 2.5% trail by up to 2.20 lakh. The catastrophic failures are at the extreme high end: the 18%+ thresholds fire once or not at all, destroying the compounding entirely.

Strategy 13: 14 thresholds, zero winners

ATH proximity triggers fail across the board. The best result is the minus 7% threshold: XIRR 11.2935%, trailing SIP by 42.9 lakh. Every subsequent tightening of the threshold makes it worse. The minus 3% threshold trails by 51.19 lakh. The 0% threshold (deploy only when Nifty is at or above ATH) trails by 55.97 lakh. The plus 3% threshold, which requires Nifty to exceed its ATH before deploying, fires only 5 times in 30 years and trails by 1.51 crore. The plus 6% threshold fires once and trails by 1.77 crore.

The structural problem is inverted. ATH proximity is not a momentum signal. It is a valuation signal in disguise. Nifty is near its ATH precisely when it has been running for a long time and when valuations tend to be stretched. Deploying when Nifty is at ATH means consistently buying at cycle highs. The bank accumulates during corrections, when the best entries exist, and deploys at peaks, when the worst entries exist. This is the opposite of what the strategy intends.

The minus 7% threshold is the least bad because it fires more often (203 times) and catches more of the market's time, including some mid-rally entries. But even 203 trades at a minus 7% ATH requirement misses extended drawdown periods (2008, 2011, 2015, 2020) where Nifty was 20% to 50% below its ATH and accumulating in the bank at 5% while the best recovery entries went unused.

Reading all four together

The frequency hierarchy determines the outcome. 12-month momentum works because it identifies multi-month regimes. Monthly draw-up at the right threshold works because a 7.5% monthly move is a real signal. Weekly draw-up fails because weekly moves are noise. ATH breakout fails because it is not measuring momentum at all. It is measuring proximity to a price peak, which is an inverse valuation measure dressed up as a momentum signal.

Strategy 14's +0.065% alpha from a single binary rule is more robust than Strategy 9's +0.059% from the best of 36 tested thresholds. The 12-1 signal has economic grounding and decades of academic evidence behind it. The monthly draw-up threshold is empirically derived and threshold-sensitive. The optimum at 7.5% may not hold out of sample.

Verdict

87 variants tested across four strategies. Strategy 14 outperforms with +0.065% alpha and 4.34 lakh additional wealth. Strategy 9 produces 14 outperforming thresholds, best at +0.059% and 3.91 lakh. Strategy 7 goes 0 for 36. Strategy 13 goes 0 for 14. Momentum timing on Nifty works at monthly and annual frequencies. At weekly frequency and ATH proximity, the signals are either noise or inverted.