Backtested — not a live track recordfrozen Enhanced F+ · commit 6ced078

Half the drawdown. The proof.

The engine running the paper account, tested two ways: across the 2021–2026 bull run and through the 2017–2020 stress era (the COVID crash). No-lookahead walk-forward plus a ₹10,00,000 capital simulation against the Nifty 500 Total-Return Index. F+ classic is shown alongside as the locked fallback.

2021–26 return
+129.97%
vs Nifty 500 TRI
+82.17%
Max drawdown
14.05%
Bull windows beaten
4 / 4
COVID-window DD 13.88% vs market ~38%vs Nifty 500 DD 18.59%2021–26 Sharpe 0.95

01 — The full period

Five years, one curve

₹10,00,000 through the 2021–2026 simulation — the equity path on top, the drawdown it cost underneath. Backtested results; the durable claim is the return-vs-drawdown edge, not the absolute percentage.

₹10,00,000 → ₹22,99,700 (+129.97%) vs the index's ₹18,21,735 (+82.17%), 2021-06-01 → 2026-05-26, with max drawdowns of 14.05% vs 18.59%. Endpoints and both max drawdowns are verbatim from the frozen engine (commit 6ced078); the monthly path between those anchors is an interpolation of the committed simulation, drawn for shape. Backtested, not a live track record.

Era 1 · 2021–2026

The bull run

Four overlapping walk-forward windows across the up-cycle — Enhanced F+ beat the index in every one.

Walk-forward — beat the index 4 / 4

Every window cleared the Nifty 500 TRI on return, with positive alpha and a Sharpe above 1.0 in three of four windows. Backtested, no-lookahead.

WindowEnhanced F+ returnSharpeMax DDTradesNifty 500AlphaBeat?
W1 2021–2023+33.97%1.028.02%63+21.95%+12.02%
W2 2022–2024+96.83%2.248.98%118+52.78%+44.05%
W3 2023–2025+54.05%1.1414.48%134+47.42%+6.63%
W4 2024–2026+24.67%0.2415.00%121+20.46%+4.21%
Nifty 500Enhanced F+alpha
W1
+12.02%
W2
+44.05%
W3
+6.63%
W4
+4.21%

₹10,00,000 simulated — 2021-06-01 → 2026-05-26

Enhanced F+ grew ₹10L to ₹22.99L (+129.97%) versus the index's ₹18.22L (+82.17%) — and did it at lower drawdown (14.05% vs 18.59%). F+ classic, the fallback, effectively matched the index. Backtested simulation, not real money.

Strategy₹10L grew toReturnMax DDSharpeTrades
Nifty 500 TRI₹18,21,735+82.17%18.59%
Enhanced F+ ✓₹22,99,700+129.97%14.05%0.95
F+ classic (fallback)₹18,15,996+81.60%18.95%0.51275

Era 2 · 2017–2020

The stress test

The era that includes the COVID crash — where the risk machinery earned its keep.

Walk-forward — 4 overlapping windows, beat the index 2 / 4

The market itself was brutal here: every window includes or borders the COVID crash. Enhanced F+ trailed the index in the two calm early windows but protected capital through the crash — beating the index in the COVID window (W3) and the recovery (W4), with far lower drawdown throughout.

WindowEnhanced F+ returnSharpeMax DDTradesNifty 500AlphaBeat?
W1 Jan'17–Dec'18+17.50%0.1814.60%110+29.79%-12.29%
W2 Jun'17–Jun'19+6.63%-0.3015.99%101+20.02%-13.39%
W3 Jan'18–Jun'20 ⚠ COVID-7.40%-1.0113.88%146-7.46%+0.06%
W4 Jun'18–Dec'20+46.89%0.8016.90%138+25.00%+21.89%
Nifty 500Enhanced F+alpha
W1
-12.29%
W2
-13.39%
W3
+0.06%
W4
+21.89%

Drawdown — half the pain

Full 2017–2020 stress era. Lower is better. Enhanced F+ took 15.08% max drawdown vs F+ classic's 23.27% and the Nifty 500's 38.52%.

02 — The crash, scrubbed

Watch the de-risk happen

Graded cash (100 / 50 / 25%) cut exposure live, before the bottom — no hindsight. Enhanced F+ fell only −13.88% peak-to-trough through the COVID window versus the market's ~−38%.

Feb–Jun 2020 · indexed to the pre-crash peak

The COVID de-risk, step by step

Nifty 500Enhanced F+
Feb 2020Jun 2020
2020-02-11100%invested
2020-03-0450%invested
2020-03-1225%invested
2020-06-0350%invested

Market fell

0%

Enhanced F+ fell

0%

Scroll to scrub. Exposure steps (100 / 50 / 25 / 50%) and both troughs (−13.88% vs the market's ~−38%) are verbatim from the frozen engine (commit 6ced078); the weekly line shape between those anchors is illustrative. Backtested, not a live track record.

₹10,00,000 simulated — 2017-01-16 → 2020-12-31

Through the stress era Enhanced F+ ended ahead of both the index and F+ classic, while taking the least drawdown of the three. Backtested simulation, not real money.

Strategy₹10L grew toReturnMax DDSharpeTrades
Nifty 500 TRI₹16,24,459+62.45%38.52%
Enhanced F+ ✓₹18,22,900+82.29%15.08%0.77
F+ classic (fallback)₹14,09,895+40.99%23.27%0.22316

Methodology & honest caveats

What this backtest does and does not claim. Read this before trusting any number above.

01

Backtested, not live

Every figure on this page is a simulation over historical prices. It is NOT a live track record. The forward paper account is the only out-of-sample evidence — see the Portfolio and Brain pages.

02

No lookahead

Every decision at date D uses only data dated ≤ D. The regime cut exposure during/before the COVID drop, never after — no hindsight leakage.

03

Survivorship

The universe is today's Nifty 500 constituents, backfilled. It biases every config and the benchmark the same way, but absolute returns read optimistic. The return-vs-drawdown edge is the durable signal, not the headline percentage.

04

Cash yield is partly bull-amplified

Enhanced F+ credits the cash sleeve at 6.5% (real T-bill ballpark) vs classic's 0%. In a rising market that interest is redeployed at each rebalance, so part of the uplift is bull-amplified — it would contribute less in a flat or falling tape.

05

Vol-adjusted momentum

Enhanced F+ ranks on vol-adjusted momentum + quality + low-volatility. Pre-2024 fundamentals / news / sentiment were offline for the historical window, so the composite is price-and-quality driven there.

06

Frozen & guarded

Engine pinned at commit 6ced078; F+ classic (commit 6417a74) kept as the locked fallback. No mutual-fund comparison is made — there is no NAV data here, so the only benchmark is the Nifty 500 TRI.

For personal research and educational purposes only. Not investment advice. Paper-traded / simulated results, not real money. Past simulated performance does not predict future results. The operator has not paid for advice and Claude is not registered as an investment adviser or research analyst with SEBI.