Real money drama — scams, layoffs, debt, windfalls and family fortunes — reported and told well.
Ranking every trade by how far it actually ran left one variable standing: relative volume. The catch is that the measure counts a whole session's turnover, most of which arrives long after the position is already open.
Across gap fades, block charts, oscillators and smart-money structures on Indian derivatives-eligible stocks, every entry-on-strength rule lost money net of fees — and only the deepest gaps survived a realistic slippage test.
On a bullish session that gapped up and faded, Strota's most selective long setup fired thirteen times, won 31% of them and lost money, against the 80% it showed on the data it was built from.
We re-ran a residual-momentum strategy with a positive out-of-sample record in crypto across ten years of Nifty 500 data. The same rules produced a negative Sharpe, a slower net-long rebuild cleared costs, and the best-scoring variant turned out to be harvesting an entirely different anomaly.
An audit of 430 trades across eight sessions found the whole gain sat in two of them, while 107 short trades averaged a loss — so fresh shorts were switched off and chasing already-extended stocks was capped.
Eleven rounds of testing failed to stop a momentum portfolio losing money in bad years; swapping in the twenty calmest liquid names did it, though the headline Sharpe of 1.84 is inflated by survivorship and unexecutable prices.
Six rounds of testing on a ten-year panel of Indian stocks, net of fees, evened out a lumpy strategy - but only by removing its signal, and the returns that remain rest on survivorship and prices nobody can trade at.
A decade-long test of intraday short-selling on Indian equities found the largest raw edge in the hardest-to-trade names, which is exactly where costs swallowed all of it and more.
Drawing the calmest names from the full Nifty 500 rather than the most-traded hundred turned a lumpy backtest into ten positive years and a Sharpe of 1.86 — at a level the study itself says survivorship inflates.
India VIX ran 2.5 percentage points above the movement that actually arrived, but only the defined-risk version of the trade kept its worst loss inside the limit, and the whole study rests on a proxy rather than real option prices.
Our first run said an outside momentum recipe was overstated. It was our data that was wrong: on dividend-adjusted prices the rule scored a Sharpe of 1.10 against the Nifty's 0.66 — on a universe of survivors.
Rebuilt on dividend- and split-adjusted prices, a low-volatility book kept a Sharpe of 1.93 and still managed 1.76 when restricted to large caps, while momentum's apparent strength leaned on the part of the market most likely to flatter a backtest.
A test of retail-executable fund-house algorithms on the Nifty from 2007 to 2026 found that a monthly switch between the index, gold and cash scored a Sharpe of 0.76 against 0.25 for buy-and-hold, and held up in every sub-period it was cut into.
Strota tested small fixed intraday targets five different ways. Every one lost. A fixed 0.0824% round trip, plus a 0.340% penalty on stop-triggered entries, swallowed effects worth 2 to 16 basis points.
Across 9,760 signals over six years of Nifty 500 data, the breakout the screen publishes nightly averaged -0.29% as it would actually be traded — and the friendlier long-horizon numbers answer a different question.
Gold and silver both rose on the MCX on Friday, but reports locate the mechanism in a squeezed physical silver market: global stockpiles under pressure and industrial buyers absorbing metal, against a backdrop of easing oil prices and U.S. rate expectations.
Cheaper instruments, delayed entries, sweep-and-reverse chart patterns and stacked indicator filters were all tested on Indian equities. None cleared costs, and three failed for reasons that had nothing to do with their signals.
Over the tested history, a long-only book buying Nifty 500 names that opened 5-7% down returned about 10-13bp per calendar day at Sharpe 1.1-1.5 — with survivorship, tail risk and a hard capacity ceiling attached.
Crude slipped on Thursday after reports of a fresh Iran-Oman understanding over the Strait of Hormuz, easing inflation worries from Tokyo's bond market to Mumbai's open. A stalling AI rally pulled the other way.
Economic Times reported a firmer start on Wall Street as Middle East tensions cooled and crude slipped, while Indian benchmarks pushed a handful of familiar names to fresh 52-week highs. Here is what those two green screens actually tell an ordinary investor - and what they do not.
Foreign institutional holdings in Indian listed companies fell to a fourteen-year low in the June quarter, according to a report from Economic Times, even as promoters raised their own stakes to a two-year high and domestic money absorbed the exit.
Brent slid to $83.56 a barrel on Monday after President Trump paused strikes on Iran to chase a nuclear deal, according to Economic Times. Gold went the other way. Somewhere in between sits an ordinary household's fuel bill.
According to a report from Chosun Ilbo, South Korean police have arrested a group accused of running a cryptocurrency fraud worth 12.3 billion won. The report is a single line long, yet the shape of the loss behind it is one savers anywhere would recognise.
Chevron cleared analyst expectations and Exxon's profits climbed as crude prices jumped, according to a report from Investing.com India. The bigger story is the short, direct line between a war risk premium, a household fuel bill and a very good quarter for Big Oil.