Cognizant EMA Crossover Strategy

U.S.-listed equity options use a standard 100-share contract. With Cognizant near $55, one contract controls about $5,500 in stock. Every optionable U.S. stock uses the same 100-share multiplier, so you size positions by the number of contracts. Shares themselves have no lot minimum and trade individually, which allows very precise position sizing.

Yes, but with adjustments. Hourly or 15-minute charts generate more signals but also more whipsaws. For shorter timeframes, consider faster EMAs (5/13 instead of 9/21), tighter stops, and smaller position sizes. Daily timeframe is recommended for beginners as it's less noisy and requires less active monitoring.

If 9 EMA crosses back below 21 EMA the day after your entry (quick reversal), your stop loss should protect you from large losses. This is a whipsaw. Don't revenge trade - accept the small loss and wait for the next clean signal. Consider adding an ADX filter to avoid signals during ranging conditions.

Shares are simplest - no expiry, no premium decay, precise sizing - but tie up more capital (or require margin for leverage). Options offer leverage and defined risk for less capital, which suits short-term crossover trades, but they decay with time. U.S. retail traders cannot trade single-stock futures, so options (or margin on shares) provide leverage, and LEAPS suit longer holds. Match the instrument to your capital and risk tolerance.

EMA crossover trades are swing trades typically lasting 5-15 days. Hold until: (1) opposite crossover occurs (9 EMA crosses back), (2) stop loss is hit, (3) target is reached, or (4) 10+ days pass without meaningful progress (time stop). Don't convert swing trades to investments - if the signal fails, exit and wait for the next opportunity.

Three filters help: (1) ADX filter - only trade when ADX > 22, indicating trending conditions. (2) EMA separation rule - wait for 0.5-1% separation between 9 and 21 EMA before acting. (3) Price-EMA relationship - avoid when price is oscillating around the 50 EMA. If unsure, reduce position size rather than skipping entirely.

Use options when: (1) capital is limited (options cost less than buying shares outright), (2) you want defined maximum risk, (3) implied volatility is reasonable (not pre-earnings), (4) you're uncertain about signal quality. Use shares (or margin) when: the trend is clear, you want full participation without premium decay, and you prefer simplicity over leverage.

Check the XLK technology sector trend before Cognizant trades - crossovers aligned with the sector trend have higher probability. Compare Cognizant's relative strength vs the sector - outperformance adds confidence. Watch Accenture and IBM for leadership - if they cross first, it often previews Cognizant (Accenture also reports earnings first and sets sector tone). Sector-wide crossovers are higher conviction than isolated Cognizant signals.

Key filters: RSI(14) > 50 for longs, < 50 for shorts. MACD histogram positive/negative aligning with crossover direction. ROC(10) > 0 for longs. Volume > 1.3x average on crossover day. Create a checklist scoring 0-4 based on how many filters pass. Score 3-4 = high confidence, 0-2 = low confidence, skip or reduce size.

Avoid new positions 5-7 days before Cognizant earnings due to elevated implied volatility and binary risk. After earnings, wait for the dust to settle (1-2 days), then fresh crossover signals have extra momentum from the earnings catalyst. Crossovers immediately after a positive report often have strong follow-through as institutions adjust positions.

Use walk-forward analysis rather than simple in-sample optimization. Test multiple periods (8/18, 9/21, 10/26, 12/26) on 3-year training windows, validate on 1-year forward periods, roll and repeat. Focus on Sharpe ratio and max drawdown, not just returns. Parameters consistent across periods are robust; wildly varying parameters indicate curve-fitting.

Build a transparent, rule-based scoring rubric from crossover characteristics: crossover angle, EMA separation rate, volume ratio, ADX, RSI, and sector momentum. Assign points to each factor using fixed, predefined thresholds and sum to a composite score. Higher score = higher conviction = larger position (within risk limits); lower score = skip. Validate the rubric out-of-sample to confirm high-score crossovers genuinely win more often. Every input and weight stays explicit and auditable - no black-box - and the factor set is kept small to avoid over-tuning (curve-fitting).

Limit total tech/IT-services exposure to 25-30% regardless of signals. Implement strategy risk budgeting - allocate say 5% portfolio risk to the Cognizant system, pause when the budget is consumed. Use the Kelly Criterion (practical half or quarter Kelly) for position sizing. Diversify across uncorrelated strategies to smooth the equity curve.

Track: rolling win rate vs backtest, rolling profit factor, drawdown vs maximum expected, execution slippage, and signal frequency. Red flags: >5 consecutive losses, drawdown exceeding 10%, significant deviation from backtest metrics, or unusual execution issues. Review weekly, with a detailed monthly analysis; recalibrate quarterly if needed.

Calculate a regime indicator (ADX or a volatility measure). In a trending regime (ADX > 25), use faster EMAs (8/18) to capture moves quickly. In a ranging regime (ADX < 20), either use slower EMAs (12/30) to filter noise or avoid trading entirely. Backtest the regime switching to ensure it improves on static parameters before implementing.