Find stocks trading above the 200 EMA and identify long-term bullish momentum. Filter using 15+ metrics including LTP, returns, PE, PB, EPS & ROE.
Stocks above 200 EMA are those trading higher than their 200-period Exponential Moving Average—a long-term trend filter smoothing price over ~40 weeks (daily charts)—signaling sustained bullish momentum, institutional strength, and uptrend participation ideal for swing/positional longs on NSE/BSE. This golden cross setup reflects buyers controlling price above the key dynamic support, filtering weak names amid broader market rotations.
The 200 EMA weights recent prices more heavily than SMA, acting as a trend bias: closes above confirm bulls, below signal shorts. Screeners flag ~50-200 qualifiers daily (e.g., TCS at ₹3238 > 200 EMA ₹3308), thriving in bull markets where 80%+ Nifty names stay above during advances.
In India, FII-heavy large/midcaps dominate lists post-corrections, offering low-resistance upside.
Above 200 EMA indicates relative strength: These outperform laggards by 15-25% annually, serving as portfolio cores resisting drawdowns. Pullbacks to EMA provide re-entries; breakdowns warn exits. NSE data shows sustained holds above yield 20%+ CAGR vs 10% below.
Trend-following leverages this filter effectively.
Enter on bounces from 200 EMA (2-5% dips) or breaks above consolidation, stops below EMA (3-5% risk). Targets: 20-40% to measured moves or 52W highs; trail 50 EMA.
Risk 1% per trade, 8-12 holdings.
TCS held above 200 EMA ₹3308, rallying 15%+ post-Q3; Marico bounced from EMA for 20% gains. Nifty midcaps above EMA outperformed 25% YTD vs laggards.
Robust trend filter with mean-reversion edge.
Whipsaws in ranges (30% false breaks); deep corrections breach EMAs. Over-reliance ignores fundamentals.
Confirm volume/golden cross; cap exposure.
Stocks above 200 EMA anchor bullish portfolios via trend strength on NSE charts, powering longs with EMA support and outperformance bias. Quality filters, dip buys, and trailing rules unlock superior returns, navigating volatility systematically. Routine screening builds enduring edges across cycles.
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