The divergence between these four methodologies lies in signal architecture — the mathematical relationship between price, volume, and time that each framework uses to trigger capital deployment. Market participants frequently treat them as variants of the same idea. They are not. Applying the wrong framework to the wrong market condition on NSE produces systematic underperformance regardless of how faithfully the rules are followed.
This comparison maps each methodology to its structural parameters, then builds the decision matrix for applying them to the NSE universe — including the circuit-breaker and FII-specific adjustments that global literature does not address.
Entry Logic — The Four Signal Architectures
Each framework identifies the same underlying event — institutional accumulation followed by a markup phase — through a different measurement lens. The visual signatures are distinct enough that an experienced practitioner can identify which framework applies from the price chart alone. Kasauti applies all four simultaneously across the NSE universe — Stage 2, SEPA Template, Darvas Box, and RS Rating in a single screen.
The four entry signal architectures side by side. Minervini's VCP (top left) shows sequential range contraction before the breakout. Weinstein's Stage Analysis (top right) requires a completed flat base with MA inflection. Darvas's stacking boxes (bottom left) create a rising stop-loss staircase. O'Neil's cup with handle (bottom right) demands a U-shaped base with a brief handle before the pivot breakout.
Volatility Contraction Pattern
3–5 sequential contractions in daily range. RS Rating above 80. Price above all three MAs (50/150/200). Trigger: volume expansion above tightest contraction range.
Stop: 3–5% below VCP low · Risk: 1–2% accountStage 1 → Stage 2 Transition
Price breaks above Stage 1 base high. 150-day MA begins sloping upward. Weekly volume ≥50% above 50-day average. No base depth limit.
Stop: below Stage 1 low or 8% below 150d MA · Risk: 1–3% accountSequential Box Breakouts
Price breaks above a horizontal 5–15 day consolidation box on volume ≥1.5× 10-day average. Each subsequent box is higher than the last. No MA filter required.
Stop: below current box floor · Risk: 10–15% position (historically)Cup with Handle Breakout
U-shaped base 7–65 weeks. Depth 10–30%. Handle: 1–2 weeks on declining volume. Pivot breakout on ≥50% above-average volume. RS ≥70th percentile.
Stop: 7–8% below pivot · Risk: 5–10% per positionRisk Calibration — Stop Placement and Position Sizing
The stop-loss logic is where these frameworks diverge most sharply in practical application. Minervini's 3–5% stop produces the tightest risk parameters and the smallest position sizes when patterns are imperfect. Darvas's box-floor stop is self-adjusting — each new box raises the stop mechanically, requiring no judgement. Weinstein and O'Neil sit in the middle range at 7–10%.
| Parameter | Minervini | Weinstein | Darvas | O'Neil |
|---|---|---|---|---|
| Stop Width | 3–5% below VCP low | 7–8% below 150d MA or base low | 3–7% below box floor | 7–8% below pivot entry |
| NSE Adjustment | No change — tight stops already conservative for circuit risk | 10% for stocks below ₹500cr market cap | +3–5% wider for stocks below ₹100cr ADT (circuit exposure) | 8–12% for NSE mid-caps with wider intraday bands |
| Account Risk/Trade | 1–2% | 1–3% | Historical 10–15% per position; modern: 3–5% | 1–2% initial; pyramids on gains |
| Stop Mechanism | Fixed at entry, manual trail after 50% gain | Stage-contextual — exits when Stage 2 → 3 transition occurs | Mechanical — box floor rises with each new box automatically | Fixed % + 50-DMA structural exit |
| Holding Period | Weeks to months | Months to over a year | Days to weeks per box | Months (3–6 typical) |
| Pyramiding | No explicit rule | No — single entry at Stage 2 initiation | Implicit — each box breakout is a new entry | Yes — adds 2–3% after +2% advance from pivot |
Market Context — The Meta-Filter Each Framework Requires
None of these frameworks operate in isolation from market structure. Each demands a specific market-level condition before individual stock entries are valid. Applying the entry rules in the wrong market environment is the primary cause of pattern failure regardless of how accurately the rules are followed.
Weinstein is the only framework with a quantified capital allocation rule based on market stage — a feature the other three lack entirely. When the Nifty 50 is in Stage 4, Weinstein's framework mandates 0% equity exposure. Minervini, Darvas, and O'Neil have qualitative market filters but no such mechanical allocation table.
Weinstein's capital allocation rule applied to a Nifty market cycle. Stage 2 (confirmed uptrend above rising 150-day MA) warrants 75% equity exposure. Stage 4 (price and MA both declining) warrants 0% — full cash. No other framework in this comparison provides a mechanical allocation table. This single feature makes Weinstein's system the most complete for capital preservation across full market cycles.
On the NSE, circuit breaker mechanics directly impact Darvas box exits. Lower circuit limits of 5% or 10% for most small caps can lock a position before the box-floor stop triggers, resulting in unexecuted exit orders and capital exposure beyond the intended risk parameter. Darvas stops must be adjusted upward for stocks below ₹50 crore ADT to account for circuit-induced slide. Additionally, SEBI's official market cap classifications — large cap (top 100 by market cap), mid cap (101–250), small cap (251+) — affect institutional participation patterns; Minervini and O'Neil's RS filters are materially more reliable in large and mid caps where FII/DII activity provides consistent volume signals, whereas small caps exhibit higher operator risk and patchy delivery data coherence. Kasauti applies a minimum ₹20 crore ADT gate across all four methodologies before surfacing a stock in any screen.
Framework Selection — The NSE Decision Matrix
The comparison yields a clear parameter-based decision matrix. No single framework dominates all conditions. The appropriate selection depends on four variables: the current market phase on the Nifty, the capitalisation tier of the target stock, the available pattern type, and the trader's acceptable time horizon. The Kasauti screener applies Stage 2 and SEPA Template filters simultaneously, giving you the Weinstein stage context and the Minervini VCP signal in a single view.
| Condition | Minervini | Weinstein | Darvas | O'Neil |
|---|---|---|---|---|
| Confirmed bull market (Nifty > 200d MA) | ● | ● | ● | ● |
| Bear market / Stage 4 Nifty | ● Avoid | ● 0% / cash | ● Avoid | ● Avoid |
| NSE Large cap (> ₹20,000cr) | ● | ● | ● | ● |
| NSE Mid cap (₹5,000–20,000cr) | ● | ● | ● >₹100cr ADT | ● |
| NSE Small cap (< ₹5,000cr) | ● | ● | ● Circuit risk | ● |
| VCP pattern available | ● | ● | ● | ● |
| Long base (> 6 months) | ● | ● | ● | ● |
| Capital preservation priority | ● | ● | ● | ● |
| Short time horizon (< 3 months) | ● | ● | ● | ● |
● Best fit ● Acceptable with adjustment ● Avoid or significant modification required
Frequently Asked Questions
Which methodology works best on NSE — Minervini, Weinstein, Darvas, or O'Neil?
No single methodology outperforms across all market phases on the NSE. Minervini and O'Neil produce higher win rates in large-cap bull runs when the Nifty is above its 200-day MA. Weinstein's Stage Analysis provides better capital preservation during bear phases through its quantified allocation filter — the only framework with a mechanical cash rule. Darvas works best in low-volatility uptrends with liquid mid-caps above ₹100 crore ADT. The most robust approach: use Weinstein's stage filter on the Nifty, then apply Minervini or O'Neil entry criteria to individual stocks.
Small cap stocks mein kitna capital lagana chahiye?
Total small cap allocation should not exceed 15–20% of the portfolio when using any of these methodologies. Per-position risk on small caps must be reduced to 0.5–1% of account equity — half the standard rate — because circuit breaker exit risk can prevent execution at the intended stop level. Apply the same parameter rules but with wider stop allowances and Kasauti's minimum ₹20 crore ADT filter before entering any position.
Can Darvas Box Theory be applied to NSE stocks with circuit breakers?
Yes, but with meaningful modification. Lower circuit limits of 5–10% on NSE small caps can prevent exit at the box-floor stop level, producing capital exposure beyond the intended risk parameter. Darvas stops must be adjusted upward by 3–5% and position sizes reduced for stocks below ₹100 crore ADT. Stocks above ₹100 crore ADT in liquid mid-cap segments are most suitable for unmodified Darvas application on NSE.
Do these methods require different position sizing for mid cap vs large cap?
Yes. All four frameworks recommend equal per-position risk (1–2% of account equity) across capitalisation tiers, but actual share quantity varies inversely with stop width — mid-caps with wider stops produce smaller position sizes for the same risk amount. Weinstein permits higher allocation in confirmed Stage 2 regardless of capitalisation, provided the stock meets the minimum ADT threshold for reliable exit execution.