PSX Pre-Trade Checklist / Institutional Edition
| Metric | Why Institutions Use It | Bullish Interpretation | Bearish Interpretation | PSX Benchmark | Red Flags |
|---|---|---|---|---|---|
| Revenue Growth YoY % Change |
Validates business momentum and market share expansion. Institutions need proof of organic demand, not accounting tricks. | ▲ >15% YoY with consistency over 3–5 years. Accelerating growth even better. | ▼ Decelerating or negative — market saturation, pricing pressure, or lost contracts. | >15% Ideal | Revenue growing but margins declining — quality issue. One-time contract spikes. |
| EPS Growth EPS(t)/EPS(t-1)−1 |
Earnings power is what ultimately drives price. Institutions model 3–5 year EPS trajectories. The stock price follows earnings over time. | ▲ 20%+ EPS growth with clean earnings quality. Beating consensus estimates consistently. | ▼ EPS shrinking, missing estimates, or driven by buybacks not operations. | >20% Ideal | EPS growth via tax benefits, asset sales, or share dilution — not from core business. |
| Gross Margin Gross Profit / Revenue |
Reveals pricing power and cost structure. High gross margins mean the business has a moat. Institutions love gross margin expansion. | ▲ Expanding gross margins — rising pricing power, product mix shift, or raw material tailwinds. | ▼ Contracting margins — cost inflation, commoditization, or aggressive discounting. | >35% preferred | PSX manufacturers often 15–25%. Anything sub-10% in manufacturing is squeezed. |
| Operating Margin EBIT / Revenue |
Measures core operational efficiency before interest and taxes. The real heartbeat of a business. Institutions track this over 8+ quarters. | ▲ Expanding operating margins — operating leverage kicking in, economies of scale. | ▼ Rising SG&A relative to revenue — management losing cost control. | 10–25% typical | Gross margin up but operating margin down — hidden cost inflation in admin/marketing. |
| Net Profit Margin Net Income / Revenue |
Bottom-line efficiency. Institutions compare net margins across industry peers. Key input in DCF models. | ▲ Stable or rising NPM with clean tax rates and no extraordinary items. | ▼ NPM collapsing due to debt costs, tax liabilities, or provisioning. | >8% preferred | NPM higher than operating margin — usually due to one-time gains. Not repeatable. |
| ROE Net Income / Shareholders’ Equity |
The gold standard of profitability for equity investors. Warren Buffett’s primary filter. Shows how efficiently management deploys equity capital. | ▲ ROE >20% consistently — strong moat, efficient capital allocation, compounding machine. | ▼ ROE declining or <10% — value destruction, over-capitalization, poor management. | >20% ideal | High ROE driven purely by high leverage (check D/E ratio). Equity base shrinking artificially. |
| ROA Net Income / Total Assets |
Used in capital-intensive industries (cement, steel, energy). Shows how productively assets generate earnings. Lower than ROE — always use in tandem. | ▲ ROA >10% in asset-light businesses. >5% in heavy industries is respectable. | ▼ ROA <3% — poor asset utilization, overinvested balance sheet. | >5–10% | ROA falling while revenue grows — asset base expanding faster than profits. |
| ROIC NOPAT / Invested Capital |
The most important profitability metric for institutional investors. Measures return on ALL capital employed (debt + equity). ROIC > WACC = value creation. | ▲ ROIC consistently above WACC (10–12% in PSX context). Widening spread = compounding moat. | ▼ ROIC < WACC — business is destroying capital even if EPS looks ok. | >15% strong | Negative ROIC trends despite positive earnings — hidden capital inefficiency. WACC compression risk. |
| Metric | Why Institutions Use It | Bullish Signal | Bearish Signal | Benchmark | Red Flags |
|---|---|---|---|---|---|
| Free Cash Flow OCF − CapEx |
FCF is king. You can’t fake cash. Institutions discount future FCF in DCF models. Companies with high FCF can buy back shares, pay dividends, and reinvest. | ▲ FCF growing consistently, FCF yield >5%, FCF conversion >80% of net income. | ▼ Negative FCF for multiple years — cash burn, unsustainable dividend, debt dependency. | FCF Yield >5% | Earnings positive but FCF negative — accrual accounting masking cash problems. |
| Operating Cash Flow CFO from Statement |
OCF validates net income quality. Institutions always compare OCF to net income — major divergence = earnings manipulation signal. | ▲ OCF > Net Income consistently. OCF growing faster than revenue. | ▼ OCF repeatedly below net income — channel stuffing, fake receivables, deferred revenue. | OCF/NI > 1.0x | Working capital buildup eating cash. OCF swings dramatically quarter to quarter. |
| Cash Conversion Cycle DIO + DSO − DPO |
Measures how quickly a company converts inventory to cash. Critical for distributors, manufacturers (textile, FMCG) on PSX. Shorter CCC = better working capital efficiency. | ▲ Falling CCC — faster collection, lower inventory days, favorable supplier terms. | ▼ Rising CCC — cash trapped in operations, inventory risk, collection problems. | <60 days ideal | CCC rising sharply — early sign of demand slowdown or customer credit stress. |
| Earnings Quality OCF / Net Income |
A ratio below 1.0 is a major institutional red flag. Smart money won’t buy a stock where earnings are fictional. PSX has several companies with accrual tricks. | ▲ Ratio >1.2 — cash earnings exceeding reported earnings. Highly reliable profit stream. | ▼ Ratio <0.7 — significant accrual-based earnings. High risk of earnings restatement. | >1.0x always | Ratio deteriorating over 4–6 quarters. Large non-cash items in income statement. |
| Metric | Why Institutions Use It | Bullish Signal | Bearish Signal | Benchmark | Red Flags |
|---|---|---|---|---|---|
| Debt-to-Equity Total Debt / Equity |
In Pakistan’s high-interest environment (historically 15–22% SBP rate), leverage is a multiplier of risk. High D/E companies can go bankrupt in tightening cycles. | ▲ D/E declining — de-leveraging. Net cash position. Strong equity buffer. | ▼ D/E >2.0x in rising rate environment — interest burden will crush earnings. | <1.0x preferred | D/E rising while margins fall — leverage becoming unserviceable. Short-term debt rollover risk. |
| Current Ratio Current Assets / Current Liabilities |
Liquidity stress test. In PSX, many companies face short-term debt rollover problems. Institutions won’t hold a stock that could face a cash crunch. | ▲ Current ratio >1.5 — strong short-term liquidity buffer. | ▼ Current ratio <1.0 — technical insolvency risk. Company needs to refinance or raise capital. | 1.5–2.5x ideal | Ratio artificially propped by large inventory. Quick ratio (ex-inventory) below 0.8. |
| Interest Coverage EBIT / Interest Expense |
Pakistan’s interest rates have historically been among the highest in EM. A coverage ratio below 3x at 20%+ rates is catastrophic. This is non-negotiable. | ▲ ICR >5x — comfortably covering debt costs. Room for rate increases. | ▼ ICR <2x — high probability of covenant breach and credit event. | >4x minimum | ICR declining as rates rise — earnings being eaten by finance costs. Dividend at risk. |
| Piotroski F-Score 9-point scoring system |
Quantitative fundamental health checklist scoring 9 criteria on profitability, leverage, and efficiency. Institutions use it to screen fundamentally strong vs distressed companies. | ▲ Score 8–9 — financially strong. High probability of stock outperformance. | ▼ Score 0–2 — fundamentally distressed. High short-sale or avoidance signal. | 7–9 ideal | F-Score declining YoY even if overall score looks decent. |
| Altman Z-Score Multi-factor insolvency model |
Predicts bankruptcy probability. Critical for PSX where several listed companies have gone through financial distress. Institutions use this as a hard exclusion filter. | ▲ Z >2.99 — safe zone. Company financially healthy. | ▼ Z <1.81 — distress zone. High insolvency probability within 2 years. | <1.81 = Avoid | Z-Score declining steadily — financial deterioration in progress. |
| Metric | Why Institutions Use It | Bullish Signal | Bearish Signal | PSX Context | Red Flags |
|---|---|---|---|---|---|
| P/E Ratio Price / EPS (TTM) |
Most widely used valuation anchor. Institutions compare P/E to historical sector average, market P/E, and expected earnings growth rate. | ▲ P/E below sector median with improving earnings trajectory — value opportunity. | ▼ P/E expanding faster than earnings growth — multiple expansion story priced in. | KSE avg: 6–10x | P/E appears cheap but earnings are at a cyclical peak. Trough earnings make P/E look high. |
| Forward P/E Price / Forward EPS Est. |
Markets are forward-looking. Institutions model next 12–24 months of earnings and buy where forward P/E is at a discount to historical and peer averages. | ▲ Forward P/E < trailing P/E — earnings expected to grow into the valuation. | ▼ Forward P/E > trailing — earnings expected to decline. De-rating risk. | < Trailing P/E | Consensus estimates may be stale in PSX. Always verify with latest guidance. |
| PEG Ratio P/E / EPS Growth Rate |
Adjusts valuation for growth. A stock can look expensive on P/E but cheap on PEG if growth is high. Growth investors like PEG < 1.0 as the sweet spot. | ▲ PEG < 1.0 — undervalued relative to growth. High-conviction entry zone. | ▼ PEG > 2.0 — growth expectations already priced in or higher. Downside risk. | 0.5–1.0 ideal | PEG using peak EPS growth — mean reversion risk. Always use normalized 3-year growth. |
| Price-to-Book Market Cap / Book Value |
Core metric for banks, insurance companies, and asset-heavy industrials. Also useful for identifying deep value in PSX cyclicals during downturns. | ▲ P/B < 1.0 with ROE improving — classic Graham value setup. | ▼ P/B >3x with declining ROE — overvalued relative to asset base. | Banks: 0.5–2x | Low P/B due to book value impairment (write-downs, bad loans). Understand why book is shrinking. |
| EV/EBITDA Enterprise Value / EBITDA |
Capital structure-neutral valuation. Used to compare companies with different debt levels. The institutional standard for M&A and cross-sector comparison. | ▲ EV/EBITDA below sector median with EBITDA growing — strong value case. | ▼ EV/EBITDA expanding — market pricing in growth that may not materialize. | 4–8x for PSX | EBITDA inflated by capitalizing costs. High EBITDA but low FCF — capex-heavy businesses. |
| Dividend Yield DPS / Price |
Critical on PSX where many investors are yield-focused. In a high-rate environment (15%+ T-bill), dividends must justify the equity risk premium. Institutions model sustainable yield. | ▲ Yield >6–8% with low payout ratio and growing FCF — sustainable and growing income. | ▼ Very high yield (>15%) — often a distress signal, not a gift. Market pricing dividend cut. | 6–10% attractive | Dividend funded by debt or asset sales. Payout ratio above 90% — unsustainable. |
| Payout Ratio DPS / EPS × 100 |
Tells you dividend sustainability. Institutions want companies that retain enough earnings to reinvest AND pay a sustainable dividend. Too high = dividend cut risk. | ▲ 40–60% payout — balanced between income and reinvestment. Sustainable. | ▼ >90% payout — almost all earnings paid out. Zero margin for earnings miss. | 40–70% ideal | 100%+ payout funded from reserves — guaranteed dividend cut in next earnings miss. |
| Metric | Why Institutions Use It | Bullish Signal | Bearish Signal | Benchmark | Red Flags |
|---|---|---|---|---|---|
| Asset Turnover Revenue / Total Assets |
How efficiently does management deploy assets to generate revenue. Declining asset turnover signals capital inefficiency or demand slowdown. | ▲ Rising asset turnover — more revenue per rupee of assets. Operational efficiency improving. | ▼ Falling — asset base bloating faster than revenue. Capital misallocation risk. | Industry-specific | Sharp decline in a single quarter — demand shock or asset write-up manipulation. |
| Inventory Turnover COGS / Average Inventory |
Crucial for textile, FMCG, pharma, and auto companies on PSX. Falling inventory turns = demand slowdown or over-purchasing. Rising = strong demand pull. | ▲ Rising turns — healthy demand, lean operations, pricing power. | ▼ Falling turns — channel stuffing, demand collapse, or obsolescence risk. | >4x preferred | Inventory growing faster than sales for 3+ quarters — major demand red flag. |
| Insider Ownership % held by directors/promoters |
Skin in the game. High insider ownership aligns management with minority shareholders. Institutions love founders with 40%+ stake who care about long-term value. | ▲ Insiders buying in open market — strongest alignment signal possible. | ▼ Insiders selling aggressively — they know something you don’t. | 30–60% ideal | >80% insider holding — extreme illiquidity. Float too small for institutional participation. |
| Institutional Holding % held by MFs, insurers, FPIs |
Rising institutional ownership = smart money accumulation. Institutions analyze what other institutions are doing. SBP NBFI data and SECP disclosures are key PSX sources. | ▲ Rising institutional ownership QoQ — accumulation phase in progress. | ▼ Declining institutional ownership — distribution phase. Red flag for price weakness. | >10% float | Very high institutional concentration — single exit creates massive downside. |
| Foreign Buying/Selling NCCPL Foreign Flow Data |
FPI flows on PSX are a leading indicator. Foreign selling creates immediate downward pressure. NCCPL releases daily foreign net flow data — institutions track this religiously. | ▲ Sustained foreign net buying over 5–10 sessions — confidence from global EM investors. | ▼ Persistent foreign selling — EM risk-off, country-specific concerns, or exit by index trackers. | Net buyer = positive | Foreign holding approaching minimum threshold — forced selling risk when markets fall. |
| Indicator | Purpose | What Institutions Look For | Bullish Signal | Bearish Signal | Entry Confirmation / Exit Warning |
|---|---|---|---|---|---|
| Market Structure HH/HL vs LH/LL Pattern |
The foundation of all analysis. Defines if price is trending up (HH + HL) or trending down (LH + LL). Institutions never trade against structure. | A clean Break of Structure (BOS) on the higher timeframe (weekly/monthly) confirming a new trend. | ▲ Higher Highs + Higher Lows pattern intact. BOS on weekly with volume confirmation. | ▼ First lower low after a sustained uptrend — structure shift, reduce/exit longs. | Entry: Buy first HL after BOS. Exit warning: stock fails to make new HH after 2–3 attempts. |
| Trend Analysis Multi-timeframe trend alignment |
Institutions only trade in the direction of the dominant trend (monthly → weekly → daily). Counter-trend trades have much lower conviction. | 3-timeframe alignment: Monthly bullish, Weekly bullish, Daily bullish = maximum confluence. | ▲ All 3 timeframes aligned bullish — highest probability long setups. | ▼ Higher timeframe bearish — any daily bullish signal is a pullback trade only. | Entry: Daily pullback entry in direction of monthly/weekly trend. Exit: Trend break on weekly. |
| Support & Resistance Historical price reaction zones |
Institutional orders cluster at key levels. These aren’t lines — they’re zones where large participants historically transacted. The more tests, the weaker eventually. | Strong S&R zones: 3+ touches, formed at high volume, visible on weekly/monthly charts. | ▲ Price holding support on declining volume, followed by expansion breakout candle. | ▼ Resistance tested multiple times without breakout — supply overwhelming demand. | Entry: Buy at support zone with defined stop below. Exit warning: 3rd test of resistance fails. |
| Supply & Demand Zones Origin of impulsive moves |
Where did the explosive move originate? That origin point is where institutional orders sit unfilled. Price tends to return to these zones to fill remaining orders. | Fresh untested zones formed by strong impulse moves with gap or high spread candles. | ▲ Price returning to demand zone from above, with smaller correction candles showing absorption. | ▼ Supply zone overhead rejecting every rally — distribution in progress. | Entry: First touch of fresh demand zone. Exit warning: Zone fails on second test. |
| Breakout vs Fakeout Volume + Close confirmation |
Most retail traders buy breakouts that fail. Institutions know that breakouts without volume are traps. They wait for re-test confirmations before committing capital. | Volume 2x+ average on breakout day. Closing price firmly above resistance (not just wick). Next session holds above breakout level. | ▲ Strong close above resistance + volume surge + next day gap up or hold = real breakout. | ▼ Close back below breakout level = fakeout. Avoid or short the failed breakout. | Entry: On retest of broken resistance (now support) after successful breakout. Safer entry. |
| Indicator | Purpose | Institutional Use | Bullish Signal | Bearish Signal | Entry / Exit Logic |
|---|---|---|---|---|---|
| 20 EMA Short-term trend |
Active traders’ trend filter. In strong bull trends, price rarely breaks below 20 EMA. Momentum traders use 20 EMA bounces for add-on entries. | Price above 20 EMA and 20 EMA rising. Bounces off 20 EMA in trending stocks. | ▲ Price pulls back to 20 EMA, holds, and continues higher. High volume on bounce. | ▼ Price breaks below 20 EMA with conviction — momentum fading. | Entry: 20 EMA bounce in a confirmed uptrend. Exit warning: 3 consecutive closes below 20 EMA. |
| 50 EMA Medium-term trend |
Swing traders’ primary trend filter. Institutional funds use 50 EMA as the dividing line between buy-the-dip and sell-the-rally. Golden Cross = 50 EMA crossing above 200 EMA. | Price above 50 EMA on weekly chart = institutional holding zone. Below = caution zone. | ▲ Price above 50 EMA + 50 EMA slopes upward = sustained uptrend. Add on dips. | ▼ 50 EMA crossing below 200 EMA (Death Cross) = long-term trend reversal signal. | Entry: Buy pullback to 50 EMA in uptrend. Exit: Weekly close below 50 EMA with volume. |
| 200 EMA/SMA Long-term trend |
The most institutional moving average. Global funds and pension money manages around the 200-day MA. Price above 200 MA = bull market. Below = bear market territory for PSX. | Whether KSE-100 and target stock are both above 200 MA. Regime filter first. | ▲ Stock above 200 MA + 200 MA sloping upward = classic institutional accumulation zone. | ▼ Stock below 200 MA with 200 MA declining = institutional avoidance/distribution phase. | Entry: First reclaim of 200 MA with strong volume after prolonged base. Exit: Loss of 200 MA. |
| VWAP Volume-Weighted Avg Price |
The single most important intraday institutional reference. All institutional algorithms benchmark to VWAP. Price above VWAP = institutions in control of the day. Below = sellers in control. | Daily open vs VWAP relationship. Whether price is reclaiming or losing VWAP intraday. | ▲ Price opens above VWAP and holds — institutions net buyers. Add on VWAP pullbacks. | ▼ Price breaks below VWAP and can’t reclaim — seller control. Avoid longs. | Entry: VWAP reclaim after morning dip with volume. Exit: VWAP loss with increasing volume. |
| Anchored VWAP VWAP from key pivot date |
Anchored from a significant event (earnings, political shift, macro shock). Shows average price for all buyers/sellers since that event. Below AVWAP = most holders underwater. | AVWAP from 52-week low, last major high, IPO date, or fiscal year start. Where is price relative? | ▲ Price above multiple AVWAPs = holders profitable, confidence high. AVWAP acting as support. | ▼ Price below major AVWAP = distribution, trapped longs seeking exits at AVWAP. | Entry: Breakout above AVWAP from earnings or crisis date. Exit: Loss of IPO AVWAP. |
| RSI (14) Relative Strength Index |
Momentum oscillator. Institutions don’t just use overbought/oversold levels — they look for RSI divergence, RSI trend breaks, and hidden divergence as the real signals. | RSI divergence (price makes new high but RSI doesn’t). RSI holding above 50 in bull trends. | ▲ RSI pullback to 40–50 in an uptrend and bounces. Bullish hidden divergence = strong trend continuation. | ▼ Bearish divergence: price HH but RSI LH. RSI fails to recover 50 after a break. | Entry: RSI bounce off 40–50 with volume. Exit: RSI bearish divergence on new price high. |
| MACD 12/26/9 EMA crossover |
Trend-following momentum indicator. Institutions use MACD histogram expansion/contraction more than the signal crossover. Histogram shows momentum of momentum. | MACD crossing above signal line with expanding positive histogram. MACD above zero line. | ▲ MACD crosses above signal with histogram expanding — momentum building. Above zero line = bullish regime. | ▼ Histogram contracting while price makes new high — momentum dying. Pre-warning before rollover. | Entry: MACD crossover above signal + above zero line. Exit: Histogram collapses to zero. |
| Stochastic RSI RSI of RSI |
More sensitive than regular RSI. Used for timing entries within a trend. Oversold on Stoch RSI inside a bull trend = buy signal. Institutions use it for pullback entry timing. | Stoch RSI crossing from oversold (<20) back above 20 in an established uptrend. | ▲ Stoch RSI oversold + K crosses above D + price at support = high-probability pullback entry. | ▼ Stoch RSI overbought (>80) + price at resistance = potential reversal zone. | Entry: Stoch RSI oversold cross up + bullish candle. Don’t use in isolation — needs trend context. |
| Indicator | Purpose | Institutional Use | Bullish Signal | Bearish Signal | Entry / Exit Logic |
|---|---|---|---|---|---|
| ATR (14) Average True Range |
The volatility benchmark. Used for stop-loss sizing, position sizing, and identifying volatility regime. Low ATR = consolidation, High ATR = trending / volatile market. | All stop-loss distances expressed as multiples of ATR. Never use fixed percentage stops on PSX. | ▲ ATR expanding after a consolidation — breakout with volatility expansion = trend beginning. | ▼ ATR spike after trend has run for weeks — exhaustion volatility, not continuation. | Stop = Entry Price − 2×ATR. Position size = Risk Amount / (2×ATR × Lot size). |
| Bollinger Bands 20 SMA ± 2 std dev |
Volatility envelope. Bollinger Band Squeeze = explosive breakout coming. Walk-up/down of band = strong trend. Mean reversion to middle band in range-bound markets. | Band squeeze (narrow bands) → direction of first breakout. Band walk (price hugging upper band). | ▲ Band squeeze breakout to upside + price walks upper band — strong trend underway. | ▼ Price rejected at upper band + bearish candle — reversal in range-bound market. | Entry: Breakout from squeeze with volume. Exit: Price touches lower band after sustained uptrend. |
| Fibonacci Retracement 23.6%, 38.2%, 61.8% levels |
Identifies pullback levels within a trend. Institutions use Fib levels because other institutions use them — self-fulfilling at scale. 61.8% is the institutional golden ratio. | Confluence: Fib level + horizontal S&R + EMA level + volume = highest probability entry zone. | ▲ Price retraces to 38.2–61.8% of prior move and holds — healthy correction in bull trend. | ▼ Price breaks below 78.6% retracement — trend likely over, not a normal pullback. | Entry: Buy 61.8% retracement in uptrend with confluence. Stop below 78.6%. |
| Order Blocks SMC concept |
Smart Money Concept: The last candle before an impulse move represents where institutional orders were placed. Price returns to these zones to re-fill orders. Opposite of retail S&R. | Last bearish candle before bullish impulse = bullish order block. Fresh OBs (untested) are more powerful. | ▲ Price returns to bullish order block zone and reacts with a strong reversal candle. | ▼ Price overlaps bullish order block without reaction — institutional orders absorbed, structure broken. | Entry: First touch of OB zone + confirmation candle. Stop below OB. Target = next supply OB. |
| Fair Value Gaps 3-candle gap / Imbalance |
FVGs represent price imbalances where trading was one-sided (too fast for both sides to transact). Price gravitates back to fill these gaps. ICT/SMC concept used by prop desks. | Large FVGs left by institutional buying or selling. Price tends to fill 50–100% of FVG before continuing. | ▲ Bullish FVG (gap up) left during uptrend — price fills gap and holds = continuation trade. | ▼ Price fills bearish FVG completely without rejection — distribution absorbed, more downside likely. | Entry: Long at 50% fill of bullish FVG. Stop below full FVG fill. Target = previous high. |
| Liquidity Zones & Stop Hunts Equal highs/lows = liquidity pools |
Institutions know where retail traders place stops. Equal highs = buy stops clustered above. Equal lows = sell stops clustered below. Smart money hunts these stops, then reverses. | Double tops, triple tops, range highs/lows = stop clusters. Watch for fake breakouts at these levels. | ▲ Stop hunt below equal lows with rapid reversal (pin bar / hammer) = institutional buy signal. | ▼ Stop hunt above equal highs then reversal = institutional sell signal, trapped longs. | Entry: After stop hunt reversal candle forms at equal lows with volume spike. Set stop just below the wick. |
| Beta Stock vs KSE-100 correlation |
Measures systematic risk. High beta stocks amplify market moves (good in bull, bad in bear). Institutions adjust position size based on portfolio beta contribution. | Beta relative to KSE-100. In a bull run, prefer beta >1. In uncertain market, lower beta defensive stocks. | ▲ High beta stock in KSE-100 uptrend — amplified returns. Low beta in market correction = capital preservation. | ▼ High beta in a falling market — losses amplified. Beta >1.5 means 50% more volatility than index. | Regime filter: When KSE-100 uptrend = high beta. Correction = low beta. Adjust per cycle. |
| Relative Strength vs KSE-100 Stock return / Index return |
The single most powerful stock selection tool. If a stock is up when the market is down — that’s where institutional money is hiding. RS leaders consistently outperform. IBD methodology. | RS line at new highs before price makes new highs = early institutional accumulation signal. | ▲ RS making new highs while price is still consolidating = institutional buying quietly ahead of breakout. | ▼ RS line declining while price holds — price will eventually follow RS down. Exit signal. | Entry: Stock with RS in top 10% of all PSX stocks + price breakout = highest conviction long. |
| Sector Rotation Relative performance of sectors |
Money rotates predictably through sectors based on macro regime. In Pakistan: rate cuts favor cement, steel, property; rising rates favor banks; PKR weakness favors exporters. | Which sectors are leading the KSE-100 breakout? Rotate into leaders, exit laggards. | ▲ Sector breaking out on relative strength vs index — early cycle leadership emerging. | ▼ Sector losing RS rapidly — rotation out in progress. Exit sector exposure. | Entry: Individual stocks in the leading sector. Exit: When sector starts underperforming index for 3+ weeks. |
What it is: Volume 1.5–3x the 20-day average on a breakout day. The bigger the volume, the more institutional participation in the move.
✦ Bullish: Price closes at HOD with 2x+ volume on breakout above key resistance. Institutional conviction.
✦ Bearish: High volume but price closes in the lower half of the candle — buying absorbed by institutions selling into strength.
PSX context: Track via NCCPL daily READEX data and broker-wise volume. Unusually high volume in a stock is the first trigger to investigate further.
What it is: Current volume divided by average volume for same time of day. RVOL >2 early in session = institutional activity in progress.
✦ Bullish RVOL: High RVOL on green days, low RVOL on red days = institutions buying on strength, not selling.
✦ Bearish RVOL: High RVOL on large down days = institutional distribution underway. Exit immediately.
PSX context: Morning session (9:30–11am PKT) usually captures institutional order flow. Watch RVOL in first 30–60 minutes.
What it is: Percentage of traded shares that result in actual delivery vs. intraday square-off. High delivery % = real buying conviction, not speculative trading.
✦ Bullish: Delivery% >60% on up days — institutions taking delivery, not just trading. Real accumulation.
✦ Bearish: Rising price with low delivery% — speculative/leveraged buying. Fragile price rise.
PSX context: Available from NCCPL settlement data. Compare 10-day average delivery% vs current.
What it is: The 4-quadrant framework that tells you instantly if institutional money is accumulating or distributing.
✦ BULLISH: Price ↑ + Volume ↑ = Accumulation (institutions buying). Price ↓ + Volume ↓ = Normal correction in uptrend.
✦ BEARISH: Price ↑ + Volume ↓ = Weak rally (no conviction). Price ↓ + Volume ↑ = Distribution (institutions selling).
The most dangerous combination: rising price on declining volume for 10–15 sessions — classic distribution setup.
What it is: Wyckoff identified the 9-phase accumulation cycle that institutions follow when building large positions without alerting the market.
✦ Phase A: Stopping action (SC + AR). Phase B: Building cause. Phase C: Spring (stop hunt below support). Phase D: Signs of strength. Phase E: Markup begins.
✦ Distribution mirror: UTAD (Stop hunt above resistance) = ultimate bearish setup before major selloff.
PSX application: Most PSX accumulations last 3–6 months. Look for PSX stocks in tight ranges for 2+ months — Wyckoff cause being built.
What it is: When institutions exit large positions, they do it in stages to avoid crashing the price. The distribution phases mirror accumulation in reverse.
✦ Signs: After long uptrend, price enters wide choppy range. High volume up days that fail to make new highs. UTAD = stock briefly exceeds prior high then reverses hard.
✦ Accumulation vs Distribution: Accumulation has quiet, low-volume pullbacks. Distribution has heavy, high-volume rallies that fail.
Once UTAD is confirmed and price breaks below trading range support on high volume — institutions have fully exited. Major markdown begins.
What it is: Institutions buy in blocks, spread over days/weeks to avoid price impact. Signature patterns: stocks with tight daily ranges but large volume; price not moving despite heavy buying.
✦ Signs of accumulation: ATR shrinking while volume increasing. Each selloff shallower. Stock holding support on large volume spikes (absorption).
✦ Hidden in plain sight: Stock looks “boring” to retail but institutions are quietly loading. The boring period IS the opportunity.
PSX specific: Mutual fund buying is visible via NCCPL; large lot transactions in the pre-market or closing session are institutional markers.
What it is: A deliberate move below key support to trigger retail stop losses before the real move higher. Aka “Spring” in Wyckoff, “Stop Hunt” in SMC.
✦ Bullish shakeout signature: Sudden drop below support (looks catastrophic), followed within 1–3 sessions by a strong recovery above support with high volume. Worst candle on highest volume = exhaustion.
✦ Fake shakeout: Price drops, recovers briefly, then loses support again — not a shakeout, actual distribution.
After a true shakeout + recovery, weak hands are gone and institutions own cheap inventory. This is the safest buy entry available.
What it is: Institutional traders engineer traps to fill their orders. Bull trap: false breakout above resistance. Bear trap: false break below support.
✦ Bear Trap: Stock breaks below key support on moderate volume, immediately reverses with strong candle closing above support on heavy volume. All bears trapped short — explosive rally follows.
✦ Bull Trap: Stock breaks above resistance with thin volume, quickly reverses closing below resistance. All bulls trapped long — sharp selloff follows.
PSX rule: Never buy a breakout in the same session it happens. Wait for next-day confirmation. Traps are identified when price can’t hold the breakout level for 2+ sessions.
| Category | Criteria | Max Points | Condition for Full Score | Half Points Condition | Zero Points Condition |
|---|---|---|---|---|---|
| Fundamental /10 |
Earnings Quality (ROE, ROIC, Margins) | 3 | ROE >20%, ROIC >15%, all 3 margins expanding | 2 of 3 criteria met | Deteriorating metrics, weak fundamentals |
| Balance Sheet Health (D/E, ICR, Z-Score) | 2.5 | D/E <0.5, ICR >5x, Z-Score >2.99 | D/E <1.5, ICR >3x | High leverage, low coverage, distress zone | |
| Valuation (P/E, PEG, EV/EBITDA) | 2.5 | All metrics below sector median, PEG <1.0 | 1–2 metrics below median | Expensive on all valuation metrics | |
| Ownership (Insider buying, FPI flow) | 2 | Insider buying + sustained FPI net buying | One positive flow signal | Insider selling, FPI net seller | |
| Technical /10 |
Trend & Market Structure | 4 | All 3 TF bullish + RS new highs + above 200 EMA | 2 of 3 TF bullish, RS neutral | Downtrend, below 200 EMA, RS declining |
| Entry Setup Quality (S&D zones, OBs, Fibs) | 3 | 3+ confluence factors at entry level | 2 confluence factors | Chasing, no defined level, poor entry timing | |
| Momentum Indicators (RSI, MACD, StochRSI) | 3 | All 3 aligned bullish, no divergence | Mixed signals | Bearish divergence, overbought at entry | |
| Volume /10 |
Breakout Volume Confirmation | 4 | 2x+ average volume, delivery >60%, RVOL >2 | 1.5x volume, moderate delivery | Below average volume, low delivery |
| Wyckoff Phase Identification | 3 | Clear Spring/Mark-up phase identified | Signs of accumulation, unclear phase | Distribution signals or unclear structure | |
| Institutional Flow (NCCPL, MF data) | 3 | MFs + FPIs both net buyers over 10 sessions | One of two institutional types buying | Both net sellers, or significant distribution | |
| Risk /10 |
Risk-to-Reward Ratio | 4 | R:R >1:4 with clean stop level | R:R 1:2 to 1:3 | R:R <1:2, unclear or distant stop |
| Position Size & Portfolio Fit | 3 | Size ≤3%, low correlation, ample liquidity | Size 3–5%, moderate correlation | Size >7%, high correlation, illiquid counter | |
| Event & Regulatory Risk | 3 | No binary events in next 30 days, clear macro backdrop | Minor events possible, manageable risk | Earnings/SBP/budget within 2 weeks, high uncertainty |