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QueryAxis Market Intelligence Framework
Sixteen lessons. Eight signals. Three layers. One score. This is the complete QueryAxis framework — how every signal connects, why each weight was chosen, and how the system produces a single unified read on the NSE market every trading day.
Curriculum Timeline
Interactive — The Complete QueryAxis Framework
Framework Map · Live Scenario · Signal Weights
QueryAxis Insight
Traditional View
- Check one or two indicators in isolation and form a market view
- Rely on index level and news flow to judge whether conditions are favourable
- Change strategy based on a single signal flipping
- Treat every trading day as equally suitable for aggressive exposure
QueryAxis View
- Read eight signals across three independent layers before forming a market view
- Require cross-layer convergence before acting with full position size
- Adjust aggression level continuously as the Opportunity Score updates
- Know precisely what conditions favour your strategy before placing any trade
QueryAxis evaluates QueryAxis Market Intelligence Framework in context — not in isolation.
The Complete System
Eight Signals — Three Layers — One Score
Breadth Layer (50%)
- · Market Breadth (20%)
- · ADR (15%)
- · A/D Line (15%)
- · New Highs vs Lows (15%)
Participation is the bedrock signal. These four indicators measure the same thing — how many stocks are genuinely advancing — from four independent angles.
Context Layer (30%)
- · Liquidity (15%)
- · Market Regime (10%)
- · Sector Leadership (qual.)
Context determines how to interpret breadth signals. High breadth in a bear regime is less reliable than the same reading in a trending bull regime.
Momentum Layer (20%)
- · Breadth Thrust (10%)
- · Regime Momentum (10%)
Momentum signals are episodic and powerful — but rare. Lower weight prevents the score from spiking on rare events while remaining flat the rest of the time.
Technical Logic
Why it worksThe QueryAxis framework is built on one core principle: no single indicator tells the full story of the market's internal health, but a sufficient number of independent indicators, when they agree, produce high-confidence reads that individual signals cannot. Each of the eight signals measures a different dimension of market behaviour using different raw data. Their convergence is not a coincidence — it reflects a genuine underlying shift in the behaviour of institutional participants across the entire market.
Why Independence Between Signals Matters
The framework's power comes from signal independence. Market Breadth uses raw advance-decline counts. ADR uses the ratio. The A/D Line accumulates the daily difference over time. New Highs uses 52-week price history. Breadth Thrust uses a 10-session window. Liquidity uses volume data unrelated to price direction. Market Regime uses trend and momentum metrics. When all seven agree, each is confirming from a different data source — making the joint probability of a false signal very low.
The Breadth Layer — Why Participation is Primary
The four breadth signals (50% total weight) share one mission: to reveal whether the market's advance or decline is genuinely broad or artificially concentrated. The Nifty 50 is market-cap weighted — five stocks can move the index while the remaining 45 stand still. Breadth signals bypass this distortion entirely. When all four breadth signals are positive simultaneously — more than 60% advancing, ADR above 2, A/D Line rising, new highs expanding — the advance is real across the full market, not just in large caps.
The Context Layer — Why Environment Modifies Signal Meaning
A Market Breadth reading of 58% advancing means different things in different contexts. In a trending bull regime with above-average liquidity, 58% advancing is confirmation of a healthy uptrend. In a ranging regime with below-average liquidity, 58% advancing may simply reflect the natural oscillation of a range-bound market. The context signals (liquidity, regime, sector leadership) act as modifiers — they tell you how to interpret the breadth signals rather than replacing them.
The Momentum Layer — Rare but Decisive
Breadth Thrust and Regime Momentum are the most powerful signals in the framework but the least frequently active. A breadth thrust occurs a handful of times per decade. A regime shift from trending to breakdown is a significant event. Their 20% combined weight reflects the fact that they should meaningfully move the score when active (a confirmed breadth thrust can add up to 10 points) while not distorting the score during the long stretches when they are dormant.
Daily Update Cycle — How the Score Moves
The framework updates every trading day after NSE market close. End-of-day data is used for all signals because intraday readings for breadth indicators are noisy — the first 30 minutes and last 30 minutes of each session produce distorted advance-decline readings. The daily cycle means the score reflects the true settled behaviour of market participants, not momentary intraday fluctuations. On typical trending days, the score moves 2–5 points. During capitulation or breadth thrust events, it can move 15–25 points in a single session.
The Opportunity Score as an Aggression Dial
The score is not a buy or sell signal — it is an aggression dial. Above 70: maximum aggression, full position sizes, let winners run. 60–70: high aggression, near-full position sizes. 50–60: moderate aggression, 60–70% position sizes. 40–50: selective, 40–50% sizes, tighter stops. 30–40: minimal exposure, starter positions only. Below 30: capital protection, no new longs. This translation from score to behaviour is the practical output of the entire framework — it tells you not just what the market is doing but exactly how to respond.
Real Market Examples
Realistic NSE scenarios with actual numbers.
Example 1
April–July 2023 — Framework Confirms Sustained Bull Phase
From April to July 2023, all three layers of the QueryAxis framework aligned in a sustained bullish configuration for over 60 consecutive trading sessions. Market Breadth averaged 64% advancing. ADR held above 2.0 throughout. The A/D Line made new highs in May and again in July. New highs averaged 190 per session against fewer than 30 new lows. Liquidity was 22% above the 20-day average. The trending regime persisted. No breadth thrust was required — the sustained alignment of the other six signals was sufficient for maximum conviction.
Read
All three framework layers sustained bullish alignment for 60 sessions. The Nifty gained 14% during this period and the NSE mid-cap index gained 22%. Full position sizes were warranted throughout — the framework's sustained high score was the objective confirmation.
Example 2
October 2021 — Framework Signals Deterioration Before Index Peaks
In the eight weeks before the Nifty's October 2021 peak, the QueryAxis framework showed progressive deterioration across all three layers. The Breadth Layer weakened first: Market Breadth dropped below 50% on index up-days, the A/D Line peaked in August, and new highs contracted from 280 to 74. The Context Layer then confirmed: volume distribution patterns emerged and sector leadership narrowed to two sectors. The Opportunity Score dropped from 74 in August to 36 by mid-October — 2 weeks before the index itself confirmed a top.
Read
The framework's cross-layer deterioration correctly flagged the top weeks before price confirmed it. Traders using the Opportunity Score as an aggression dial would have been at 30–40% position size by the time the index confirmed its peak — protecting the majority of gains accumulated during the bull phase.
The QueryAxis Playbook
Actionable frameworkSignal Thresholds
When
All three layers bullish — Opportunity Score above 70
Action
Deploy full position sizes on technically sound long setups. Extend holding targets — the macro environment supports runs. Favour momentum and growth over defensives. Re-enter on pullbacks aggressively.
Why
Cross-layer convergence is the highest-confidence signal the framework produces. When breadth, context, and momentum all confirm simultaneously, the probability of sustained follow-through is at its maximum. This is the environment the framework is designed to identify.
When
Two layers bullish, one neutral — Opportunity Score 55–70
Action
Trade at 70–80% of normal position size. Apply standard stop-loss discipline. Accept some positions that do not follow through — the environment is good but not exceptional. Be selective on sector and setup quality.
Why
Two bullish layers out of three is a high-probability environment but not maximum conviction. Reducing size slightly preserves capital for re-deployment when the third layer aligns, while still capturing the majority of the favourable conditions.
When
Layers mixed — Opportunity Score 40–55
Action
Reduce to 40–60% of normal size. Favour the sectors where internal signals are strongest. Tighten stops to recent swing lows rather than deeper technical levels. Take partial profits at first targets rather than holding for extended runs.
Why
Mixed signal environments produce mixed results: some positions work well, many don't. Smaller sizes mean that the losing positions are proportionately smaller while still allowing participation in the winners.
When
Majority of signals deteriorating — Opportunity Score below 40
Action
Capital protection mode. No new long positions. Systematically reduce existing exposure on strength. Hold elevated cash. Revisit only when at least two layers have returned to neutral or better.
Why
Below 40, the mathematical expectation of new long positions is negative. The asymmetry flips — potential upside from forcing trades is lower than potential downside from being caught in continued deterioration.
Common Mistakes
Where traders go wrong — and how QueryAxis is designed to prevent each one.
Using only one or two signals and calling it the 'framework'
Why it happens
The power of the framework is cross-layer convergence. Using two signals from the same layer — for example, Market Breadth and ADR, which are both breadth signals — provides false confidence: if one is right, the other will almost always agree, but neither adds independent information. True framework discipline requires at least one signal from each of the three layers.
QueryAxis approach
Check at minimum one breadth signal, one context signal, and one momentum signal before forming a market view. If any layer is unavailable or unclear, default to reduced position size rather than assuming it is neutral.
Treating the Opportunity Score as a binary buy/sell switch
Why it happens
The score is a continuous dial, not a threshold. Moving from 61 to 59 is not a signal to sell everything — it is a signal to reduce size modestly. Treating the 60 level as binary leads to overtrading and whipsaw as the score oscillates around the threshold.
QueryAxis approach
Map the score to five aggression tiers (above 70, 60–70, 50–60, 40–50, below 40) and adjust position sizes gradually across those tiers. Never change aggression dramatically on a single point move in the score.
Ignoring the framework when it conflicts with a strong individual stock setup
Why it happens
A technically perfect stock setup in a 25 Opportunity Score environment will fail more often than the same setup in a 75 score environment. The macro environment is not background noise — it is a direct multiplier on individual setup probability. Dismissing the framework because 'this particular stock looks great' removes the probability edge the framework provides.
QueryAxis approach
When the framework score is below 40, apply a rule: even the best-looking individual setups get only 25% of normal position size. The stock's technicals earn the setup; the framework score determines the size.
Expecting the framework to be right every session
Why it happens
The framework is a probability tool, not a prediction engine. Even at a score of 80, some positions will fail. Even at a score of 20, some positions will succeed. The framework shifts the distribution of outcomes — it does not eliminate variance.
QueryAxis approach
Evaluate the framework over 20–30 trade samples, not individual trades. A 70+ score environment should produce a higher win rate and better average returns across a series of trades than a 30 score environment. Single-trade outcomes are not a valid test of framework accuracy.
Updating strategy based on the score without reading the signal composition
Why it happens
Two scores of 60 can reflect very different market conditions. A score of 60 built on strong breadth but weak regime is a different risk profile than a score of 60 built on weak breadth but a powerful breadth thrust. The number summarises the signals, but the composition matters for strategy selection.
QueryAxis approach
Always check which signals are driving the score. If the score is 60 because breadth thrust just fired, favour momentum strategies. If it is 60 because three signals are at 70 and three are at 50, favour selective value setups. The signal composition guides strategy; the score guides size.
Key Takeaways
- 1
The QueryAxis framework organises eight signals across three independent layers — Breadth (50%), Context (30%), and Momentum (20%) — so that convergence across all three produces high-confidence, manipulation-resistant market reads.
- 2
The Opportunity Score is not a buy or sell signal — it is an aggression dial: above 70 means full position sizes, 50–70 means partial aggression, 30–50 means minimal exposure, below 30 means capital protection with no new longs.
- 3
Signal independence is the framework's most important design principle: each of the eight signals uses different raw data, so when they agree, their agreement reflects genuine behavioural shifts across the market — not just one measurement repeated eight times.
- 4
The framework operates at the market-wide level and sets the macro backdrop — individual stock technical analysis (chart patterns, volume, relative strength) then identifies specific entries within that backdrop; both layers are required.
- 5
Mastering the framework means checking the score daily, understanding which signals are driving it, and translating that understanding into a specific aggression level before any trade is placed — this discipline, applied consistently, is what separates market intelligence from market noise.
Market Intelligence Academy Complete
You have completed all 17 lessons of the Market Intelligence curriculum. You now understand how market breadth, the advance-decline ratio, the cumulative A/D Line, new highs vs lows, breadth thrust, liquidity, market regime, and the Opportunity Score combine into a single unified framework — and how to use it daily to read the NSE market with institutional-grade clarity.
The next step: apply the framework daily on the QueryAxis Discovery page, where all signals update after every market session.
Frequently Asked Questions
What is the QueryAxis Market Intelligence Framework?▾
The QueryAxis Market Intelligence Framework is a systematic, data-driven approach to reading the internal health of the NSE and BSE markets. It combines eight signals organised across three layers — Breadth (Market Breadth, ADR, A/D Line, New Highs vs Lows), Momentum (Breadth Thrust, Market Regime), and Context (Liquidity, Sector Leadership) — into a single Opportunity Score from 0 to 100. Rather than relying on any single indicator, the framework requires signals from multiple independent layers to align before producing high-conviction reads. It updates daily after market close.
Why does the framework use eight signals instead of one or two?▾
No single market signal is reliable in all conditions. Market Breadth can produce false positives during short-covering rallies. The Advance-Decline Line can lag major turns. New Highs can be temporarily inflated during earnings season. Breadth Thrust events are rare and episodic. Each signal has blind spots that the others cover. By requiring convergence across eight independent signals drawn from three different data layers, the framework dramatically reduces false signals and produces higher-confidence market reads than any individual indicator can provide.
How is the Opportunity Score calculated?▾
Each of the seven weighted signals is normalised to a 0–100 scale and then multiplied by its weight: Market Breadth (20%), ADR (15%), A/D Line (15%), New Highs vs Lows (15%), Breadth Thrust (10%), Liquidity (15%), and Market Regime (10%). The weighted sum produces the final Opportunity Score. Sector Leadership is qualitative and informs the narrative rather than feeding directly into the numeric score. The result is a single 0–100 number updated daily: above 60 indicates favourable conditions; below 40 indicates elevated risk.
Why is the Breadth Layer given the most weight (50%)?▾
Participation is the most fundamental measure of a market's health. A rising index does not mean a rising market if only five stocks are driving it. Breadth measures the index that cannot be faked — when 70% of NSE stocks are advancing, it reflects genuine widespread institutional and retail buying, not selective large-cap accumulation. The four breadth signals (Market Breadth, ADR, A/D Line, New Highs vs Lows) capture participation from different angles: snapshot, ratio, cumulative trend, and 52-week momentum. Together they provide a comprehensive, manipulation-resistant view of true market participation.
How does the framework handle conflicting signals?▾
Conflicting signals produce a moderate Opportunity Score — typically in the 40–60 range — which maps to 'Neutral' market conditions. The framework treats neutrality as a directive to reduce position sizes and avoid new high-conviction bets, rather than forcing a bullish or bearish read. When signals conflict, the system waits for resolution. Historically, periods of maximum signal conflict (score near 50) are followed by sharp directional moves once the conflict resolves — making the neutral zone a useful setup for anticipating the next phase.
How does the framework connect to individual stock trading?▾
The framework operates at the market-wide level — it tells you the macro environment for equity exposure, not which specific stocks to trade. A score above 60 means the environment favours aggressive pursuit of technically sound long setups. A score below 40 means even technically perfect setups have lower follow-through probability. The framework sets your aggression level; individual stock technical analysis (chart patterns, volume, relative strength) then identifies the specific entries. Neither layer replaces the other — both are required for the highest-probability trades.
Can the framework be used for intraday or short-term trading?▾
The QueryAxis framework is calibrated for swing and positional trading — holding periods of 2–20 sessions. It uses end-of-day data and reflects the full session's internal structure. The same conceptual framework (participation + momentum + context) can be applied intraday using real-time breadth data, but the specific thresholds and signal definitions differ from the daily version. For day traders, the daily framework serves as the strategic backdrop — whether the market's internal structure supports aggressive intraday long bias or demands caution.
How does the framework perform across different market regimes?▾
The framework includes Market Regime as an explicit input precisely because signal interpretation changes across regimes. In a strong trending regime, a Market Breadth reading of 60% advancing warrants full confidence. In a ranging regime, the same reading may simply reflect the ranging oscillation and not a directional move. In a breakdown regime, even temporarily high breadth is unreliable as the market tests recovery. By weighting regime directly in the score, the framework adjusts its own sensitivity to match the current market character — a self-correcting design.
The Full Market Intelligence Curriculum
Market Intelligence Curriculum Complete
You have completed all 17 lessons in the Market Intelligence pathway.
You can now read market breadth, sector leadership, rotation, liquidity, narrative, Opportunity Score, regime, and divergences — and apply them daily on Discovery.
Open Live Discovery →