Quantitative Strategies & Research
Systematic algorithmic trading strategies, backtested win rates, institutional stock research, and SEBI-aligned risk management.
Adani Wilmar Ltd (AWL): Quantitative Rules, Technical Edge & Position Sizing (2026)
Data-backed trading breakdown of Adani Wilmar Ltd (AWL). Key technical entry rules, backtested win rates, stop-loss placement, and 1% risk position sizing math.
The 61-Day Danger Zone: How the US Midterms Could Shake Global Markets
The window between November 3 and January 3 is shaping up to be a danger zone for global markets, driven by US midterm politics and Iran ten...
The Truth About Swing Trading: 5 Brutal Questions Answered
There is no shortage of trades, only excessive bad behavior. Here are 5 blunt answers to the biggest doubts swing traders face—from reveng...
Is Technical Analysis Real, or Just Mind Bias?
Is technical analysis a legitimate edge, or just a massive exercise in confirmation bias? Traders weigh in on why charts work—and it has e...
The Expiry Day Trap: We Tested 1,600+ Expiry Day Moves to See What Actually Works
Three traders bought NIFTY Calls on expiry day. All three got the direction right. But only two made money—and the third lost 51%. Here's ...
Are All IPOs Worth Buying? The Honest Truth Before You Apply
Every time a new IPO hits the market, the frenzy begins. But are all IPOs worth buying? Here's the honest truth about odds, OFS traps, and w...
How to Become a Consistent Trader: The Process That Actually Works
Most traders think consistency comes from finding the perfect strategy—but the truth is simpler. Consistency comes from following a proces...
How Pro Traders Manage Take Profit (And Why Most Traders Get It Wrong)
Most traders don't lose profits because of bad entries—they lose profits because of bad exits. Here are 8 rules pro traders use to manage ...
Stop Loss Hit, Then Target: Why It Happens and How to Fix It
You bought the breakout, your stop loss got hit, and then price ran straight to your target without you. Here's why this happens—and the t...
Price Spike vs. Real Breakout: How to Tell the Difference
A price spike and a real breakout can look identical in the moment—but they are two completely different things. Here's how to tell the di...
5 Financial Red Flags to Check Before Buying Any Stock
Most investors buy a stock because of a headline or a hot tip, and most of them end up regretting it. Here are five red flags in a company's...
Why Most Traders Lose: The Real Problem Isn't Your Strategy
Most traders don't lose because their strategy failed—they lose because they're trading with money they can't afford to lose. Here's the d...
Why 9 Out of 10 F&O Traders Are Still Losing
SEBI's latest data reveals that 87.7% of individual F&O traders lost money in FY26, with the average loss rising to ₹1.17 lakh. Here's why...
Bitcoin Halving Cycles & Institutional Volatility: Quantitative Risk Framework (2026)
Macro liquidity, programmatic halving issuance, and institutional spot ETF absorption. How quantitative asset managers size digital currency...
The 1% Risk Rule & Mathematical Position Sizing: How Elite Traders Survive Losing Streaks
Why mathematical position sizing determines 90% of trading longevity. Compare a 1% risk drawdown (-9.5%) against a 5% risk disaster (-40.1%)...
NIFTY 50 EMA Golden Cross Strategy: 5-Year Quantitative Backtest & Win Rate Rules
Complete 5-year quantitative backtest results for the 20/50 EMA cross on NIFTY 50 equities. Verified 68% win rate, entry triggers, and stric...
No matching research found
Try adjusting your search terms or clearing the filter.
Want to backtest these models live?
Run historical backtests and simulate trades with our institutional strategy engine.