The Capitalisation Dimension in Position Sizing
Market capitalisation is not merely a label — it is a structural variable that fundamentally governs liquidity, volatility, institutional presence, and exit feasibility[cite: 7]. A systematic trader must treat each capitalisation band as an entirely distinct parameter space, possessing its own unique variance profile and structural failure rate[cite: 7]. The NSE universe, with its extreme dispersion of free-float market caps, demands a highly differentiated sizing logic[cite: 7]. Without it, a single allocation rule blindly applied across large, mid, and small caps introduces catastrophic tail risk and directly violates the core principle of capital preservation[cite: 7].
Segment Definitions: The Official Framework
SEBI’s formal categorisation serves as the only legally recognised and structurally sound classification for Indian equities[cite: 7]. As of the latest rebalancing protocols[cite: 7]:
- Large cap: Top 100 companies explicitly sorted by average full-market capitalisation over a six-month trailing window[cite: 7].
- Mid cap: 101st to 250th rank[cite: 7].
- Small cap: 251st rank and strictly below[cite: 7].
These rigid boundaries are mechanically updated semi-annually[cite: 7]. An equity asset crossing this threshold mid-cycle does not officially alter its classification until the subsequent rebalancing phase[cite: 7]. This lag introduces a deeply known asymmetry: a mid cap that temporarily plummets into small-cap territory following a massive drawdown officially remains a mid cap for allocation mandates, yet its functional liquidity profile has actively collapsed[cite: 7]. The systematic operator must either lock the classification constant over the cycle or aggressively re-evaluate dynamically using the most recent six-month ranking snapshot to prevent accidental exposure[cite: 7].
Volatility and Liquidity: The Two Axes
Position sizing deployed within each specific segment must be ruthlessly calibrated against two measurable, mathematical variables[cite: 7]:
- Average True Range (ATR) as a percentage of price: Small caps routinely and violently exhibit 3–5% daily trading ranges; large caps rarely exceed 2%[cite: 7]. A fixed percentage of account risk — for example, precisely 1% — applied to a small cap printing a 5% ATR implies a position size roughly 60% smaller than for a large cap printing a 1.5% ATR, assuming the exact same structural stop-loss multiplier is utilized[cite: 7].
- Average Daily Traded Value (ADT): The NSE raw data feed reports ADT explicitly in ₹ crores[cite: 7]. For a position to be cleanly exited within a single, solitary trading session without inducing price slippage, the absolute position size must not exceed a minor fraction (e.g., 10%) of the asset's total daily volume[cite: 7]. In large caps, ADT frequently scales beyond ₹500 crore; in small caps, it can easily collapse below ₹1 crore, imposing brutal structural constraints on maximum position capacity[cite: 7].
The Kasauti framework structurally integrates these two unique axes into one unified sizing rule: position size = (account risk × account equity) / (stop distance × instrument risk multiplier), which is then further mechanically capped by the strict liquidity constraint[cite: 7]. Operators can scan current NSE setups against these specific parameters directly utilizing the live screening engine[cite: 7].
Circuit Breakers and Exit Behaviour
The NSE aggressively imposes intra-day circuit filters (2%, 5%, 10%, or 20% bands calculated based strictly on historical volatility) upon individual listed equities[cite: 7]. For small caps, the presence of a wider circuit limit (10% or 20%) guarantees that a price can severely move against an open position by the full half-circuit range before algorithmic trading officially halts[cite: 7]. If a systematic stop-loss is placed inside this violent circuit zone, final execution is absolutely not guaranteed — the order may fail to fill until the subsequent session, or it may execute at a vastly deteriorated price point[cite: 7]. This operational reality rigidly forces the trader to mathematically widen stop distances specifically for small caps, which consequently reduces allowable position size even further under an identical risk budget[cite: 7]. The liquidity constraint encompasses not solely average volume, but rather the functional reliability of limit order execution itself[cite: 7].
SEBI's official market-cap ranks are recalculated every six months, but the data used by most screeners lags by up to one month[cite: 7]. A stock ranked 248 at rebalancing may now be 260 — yet it still qualifies as a mid cap for mutual fund mandates[cite: 7]. This creates a window where institutional flow into or out of the name can distort price behaviour[cite: 7]. On NSE, small-cap ADT is often concentrated in the first hour; after 11:30 AM, volume drops sharply, making exits increasingly unreliable[cite: 7]. Always verify the most recent six-month average ADT, not just the current day's volume, when sizing a small-cap position[cite: 7].
Systematic Position Sizing by Capitalisation: Summary Checklist
A mathematically disciplined approach to capitalisation-based sizing demands a mandatory pre-trade parameter audit[cite: 7]. Before any capital is deployed, rigorously confirm the following boolean constraints[cite: 7]:
- Define the asset's exact capitalisation band exclusively using the last SEBI list — completely reject guessing based upon price scale or media narrative[cite: 7].
- Calculate ATR strictly as a percentage of price over the trailing 20 days[cite: 7]. For small caps, actively use 30 days to systematically smooth out data gaps caused by circuit limit triggers[cite: 7].
- Set position size mathematically such that the actual stop-loss distance (measured in rupees) multiplied by the total position shares absolutely does not exceed 1.0% of total portfolio equity for that solitary trade[cite: 7].
- Enforce an additional, non-negotiable liquidity cap: the absolute position value must structurally not exceed 10% of the trailing 30-day average daily traded value (ADT)[cite: 7].
- For small caps specifically, deploy a hard portfolio-wide exposure limit — mechanically never allocate more than 15% of total account equity across all combined small-cap positions simultaneously[cite: 7].
- Actively re-assess the asset classification at each official bi-annual rebalancing and adjust holdings mathematically; never chase a name across the market-cap boundary mid-cycle[cite: 7].
The Kasauti methodology adamantly advocates treating these precise parameters as absolutely non-negotiable structural filters[cite: 7]. To run the Stage 2 filter on the NSE universe and correctly overlay these sizing rules, immediately use the screener platform after securing a free plan[cite: 7].
Frequently Asked Questions
What is the correct position size for a small cap stock on NSE?
Let the stop distance in percentage (e.g., 5%) and your risk per trade (e.g., 1% of equity) determine the theoretical size[cite: 7]. Then cap that value at 10% of the stock's trailing 30-day average daily traded value[cite: 7]. The lower of the two becomes your maximum position size for a single entry[cite: 7].
Small cap mein kitna paisa lagana chahiye?
Agar aapke portfolio ka 15% se zyada small caps mein hai, toh exit risk bahut badh jaata hai[cite: 7]. Har small cap stock mein ek hi trade ke liye 1% se zyada risk mat lo, aur total small cap exposure 15% portfolio equity se zyada nahi hona chahiye[cite: 7]. Liquidity bhi check karo — jo stock daily ₹1 crore se kam trade kare, usme position size aur bhi chhota rakho[cite: 7].
How does circuit breaker affect position sizing for mid caps?
Mid caps with a 5% or 10% circuit breaker can hit their limit intraday, causing forced halts[cite: 7]. If your stop-loss is inside the circuit range, execution may be delayed or occur at a worse price[cite: 7]. Therefore, for mid caps with a 5% circuit, set your stop at least 1 ATR below the circuit threshold to reduce the probability of a non-fill[cite: 7].
Should I use the same stop-loss multiple for large, mid, and small caps?
No[cite: 7]. The same stop-loss multiple (e.g., 1.5 ATR) will produce very different price distances[cite: 7]. For large caps, 1.5 ATR may be 2–3%; for small caps, it could be 6–8%[cite: 7]. To keep risk per trade equal across segments, compute position size after the stop distance is known, not before[cite: 7].