Quantzee

The blog presents a structured 2026 blueprint for index intraday trading with a focus on systematic decision-making. It explains how market structure, price action, key levels, and momentum can be combined to identify potential intraday setups. The strategy begins with understanding the broader market context before looking for specific trade entries. Support and resistance levels help traders ide...

TradingView provides a range of technical indicators that can help NSE options traders analyze trends, momentum, volatility, and price action. The blog explores useful indicators for options traders who want to build a more structured and repeatable charting approach. Moving averages can help identify the broader market trend and potential dynamic support or resistance areas. RSI can help traders...

TradingView offers a wide range of indicators that can help options traders analyze price action and market momentum. The blog explores indicators that can be useful for identifying trends, volatility, momentum, and potential entry areas. Moving averages can help traders understand the prevailing trend and dynamic support or resistance. VWAP can provide useful context by showing where price is tra...

Bank Nifty can experience sharp price movements, making the right technical indicators useful for structured analysis. The blog covers several indicators that traders can use to study Bank Nifty price action and market momentum. Moving averages can help identify the broader trend and potential dynamic support or resistance areas. RSI can provide insight into momentum and help identify overbought o...

Volatility indexes help traders understand expected changes in market volatility. The blog explains how volatility can affect options pricing and trading decisions. Volatility is closely connected to the premiums traders pay for options. When expected volatility rises, option premiums can increase even without a major price move. When volatility falls, option premiums may contract and affect exist...

Bank Nifty can experience sharp price movements, making the right technical indicators useful for structured analysis. The blog covers several indicators that traders can use to study Bank Nifty price action and market momentum. Moving averages can help identify the broader trend and potential dynamic support or resistance areas. RSI can provide insight into momentum and help identify overbought o...

TradingView alerts can be connected to webhooks to send trading signals automatically to external systems. Webhook automation allows alerts to move from TradingView into bots, applications, or other workflows. The blog explains the basic setup required to create a TradingView alert. It covers where to enter the webhook URL when configuring an alert. A webhook URL acts as the destination that recei...

Build multi-timeframe trading strategies on TradingView without writing a single line of Pine Script. The blog explains how higher-timeframe trend confirmation can be combined with lower-timeframe entry signals for better confluence. It highlights the importance of using non-repainting indicators and confirming higher-timeframe data only after the candle closes. You can also create alerts using “O...

A well-designed mobile alert workflow helps traders monitor markets without constantly staying in front of their charts. The blog explains how to use TradingView alerts with non-repainting indicators for more reliable mobile signals. It recommends using “Once Per Bar Close” to avoid acting on signals from still-forming candles. Push notifications, predefined action rules, alert limits, and webhook...

A trader carefully tunes an indicator on Nifty options, applies the identical settings to Sensex options, and the results don't match  and it's not a flaw in the tool. Quantzee walks through the structural factors that actually differ between two seemingly similar index option markets: tick size and price granularity, contract multiplier and notional value, expiry cadence, liquidity depth and open...

A Fair Value Gap (FVG) is a three-candle price imbalance created when price moves rapidly in one direction. The blog analyzes 500 FVGs across ES, BTC, and EURUSD to examine how often these gaps are revisited and filled. The study shows that gap size and formation timing can significantly affect fill rates and how quickly price returns. It also explains common marking mistakes and why large or over...

Supply and demand zones help traders identify price areas where strong buying or selling pressure may have originated. The blog introduces four key tests: origin, freshness, depth, and time-at-level to filter stronger zones from random chart patterns. It explains why the first retest can behave differently from zones that have already been tested multiple times. The guide also covers zone marking,...

Learn how to draw trend lines consistently using clear, repeatable rules instead of relying on visual guesswork. The blog explains six key rules covering anchor points, wick vs. body, touch count, bar separation, and chart scale. It also explains why a trend line needs at least three meaningful touches before it becomes more than a simple connection between two points. The guide highlights the dif...

Here’s a concise 5-line summary using the original blog link: ( Quantzee )Cumulative Volume Delta (CVD) tracks aggressive buying and selling activity rather than simply counting buyers and sellers. The blog explains how price and CVD divergence can reveal absorption near important support and resistance levels. It also covers the difference between session-anchored and continuous CVD for different...

A liquidity sweep occurs when price briefly moves beyond a key level to trigger resting orders before reversing. The blog explains a four-bar sequence: a clear liquidity level, penetration wick, rejection close, and strong displacement. It highlights how these confirmations can help distinguish a genuine sweep from a real breakout. The framework also emphasizes volume, timeframe context, and avoid...

Wyckoff Distribution is not simply Accumulation turned upside down. Distribution often shows faster markdowns, rising volatility, and different failure behavior than accumulation. Upthrusts can attract buyers before a stronger decline develops, making confirmation important. Volume patterns across Phases A to E can help distinguish genuine distribution from a breakout or re-accumulation. Read the...

Copying an "optimized" indicator setting from a forum thread is usually copying a curve-fit number, not a discovery about market behavior and Quantzee breaks down exactly how to tell the two apart. We explain the core test (can you state a market reason for a parameter before seeing the backtest result, or only after), the three failure modes retail traders repeat (tuning and confirming on the sam...

An EMA50/EMA200 trend filter doesn't add information to a signal it subtracts a specific, definable category of trades, and some of what it removes was genuinely profitable. Quantzee breaks down the three categories of signal this filter mechanically deletes: genuine reversal signals right at turning points (blocked by design, not error, since both EMAs lag by construction), range-bound mean-rever...

A sharp move off support can be the start of a new trend or a snapback that fades within the hour same candle, same volume signature, even a nearly identical oscillator reading, but opposite correct decisions. Quantzee explains why most indicators are built to detect a pattern rather than the market regime the pattern occurs in, and why that's the actual gap causing traders to run two contradictor...

A trend filter cuts your trade count in half and the instinct is to treat that as lost opportunity, but trade count was never the objective. Quantzee explains why total expectancy (frequency multiplied by average outcome per trade) is what actually matters, why a trend filter removes signals unevenly in clusters concentrated in range-bound and transitional periods rather than as a flat percentage...

Price sits on a level that's held three times before while an oscillator screams overbought, two respected tools, two opposite conclusions. Quantzee builds a working framework for resolving this instead of waving it away with "use confluence." We explain why support and resistance and indicator signals are fundamentally different categories of evidence, one a backward-looking record of past order...

Switching from a repainting to a non-repainting indicator changes the actual geometry of a trade — entry price, distance to the swing point, the adverse movement you have to absorb — and if your stop-loss rule doesn't change with it, you inherit chronic stop-outs on trades that would have worked, or stops so wide a single loss erases a week of gains. Quantzee explains exactly why waiting for bar c...

Why does the exact same indicator produce a dozen signals an hour on a scalping preset and near silence on a swing preset for the same instrument? Quantzee breaks down why this isn't a tuning inconsistency but a mechanical consequence of timeframe changing the statistical texture, noise-to-signal ratio, autocorrelation, volatility of the underlying price series itself. We explain why scalping pres...

A fixed ATR multiplier for stop-loss or target placement quietly assumes the relationship between market noise and meaningful movement never changes and it does, predictably, through volatility clustering. Quantzee breaks down what a genuinely self-optimizing ATR multiplier recalculates across three dimensions: classifying the current volatility regime against its own recent history rather than re...

Most traders use Percent B exactly like a raw Bollinger Band touch, but that throws away its most useful property: a numerical, two-point comparison across swing pivots that surfaces genuine divergence a single band touch cannot catch. In this episode, Quantzee explains the mechanics of bearish and bullish Percent B divergence, why it measures something structurally different from RSI or MACD dive...