| Purpose | Classify market trend direction and strength to optimize strategy selection, position bias, and risk management decisions |
| Core Function | Analyzes price action across multiple timeframes and indicators to classify trends as strong uptrend, weak uptrend, sideways, weak downtrend, or strong downtrend with confidence scores |
| Bank Nifty Specifics | 1.3-1.5x Nifty volatility • Stronger trends in both directions • RBI policy can shift trends quickly |
| Sector Trends | Pharma, FMCG often counter-trend to market • Banks, Autos amplify market trends • IT, Metals follow global trends |
| Fii Dii Flows | Sustained FII buying confirms uptrend • Persistent FII selling warns of downtrend • Flow divergence from price warns of reversal |
| Advance Decline | A/D ratio consistently > 1.5 • A/D declining while index rising • Extreme A/D readings at trend ends |
| Delivery Percentage | Higher delivery percentage (>40-50%) • Lower delivery, more speculative |
| Oi Analysis | Rising OI with rising prices • Rising OI with falling prices • Falling OI with rising prices • Falling OI with falling prices |
| Pre Budget Jan Feb | Range-bound with volatility spikes • Usually weak/sideways |
| Post Budget Feb Mar | Often directional move post-budget • Can initiate strong trends |
| Election Period | Uncertain, volatile • Trend classification less reliable |
| Monsoon Jun Sep | Sector-specific trends • Rural themes based on monsoon progress |
| Diwali Oct Nov | Often bullish seasonality • Moderate to strong uptrend tendency |
| Year End Dec | Low volume, FII rebalancing • Usually weak trends |
| Weekly Expiry | Can create noise in intraday trends • Use daily timeframe for trend, ignore intraday noise |
| Monthly Expiry | Rollover activity, max pain moves • Trend signals may be distorted |
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