Identifies trend direction and momentum shifts
| Strategy Type | Momentum and Trend-Following Indicator System |
| Market Outlook | Identifies trend direction and momentum shifts |
| Risk Profile | Defined by stop placement; typically 2-4% per trade |
| Reward Profile | Captures momentum-driven moves; trend continuation |
| Time Horizon | Swing trading (days to weeks) |
| Best Conditions | Trending markets with clear momentum |
| Indicator Basis | MACD Line (12/26 EMA difference), Signal Line (9 EMA of MACD), Histogram |
| Primary Instruments | XIU, XIC (index ETFs); Major banks (RY, TD, BMO); ZSP (S&P 500) |
| Trading Hours | 9:30 AM - 4:00 PM ET |
| Settlement | T+1 for stocks and ETFs |
| Tax Treatment | Capital gains 50% inclusion rate |
| Tfsa Eligibility | YES - Stock/ETF trading permitted |
| Rrsp Eligibility | YES - Stock/ETF trading permitted |
| Commission Consideration | Factor in trading costs; moderate frequency strategy |
| Currency Note | Consider CAD/USD exposure for US-listed instruments |
| Liquidity Note | Works well with liquid Canadian blue chips |
MACD measures the difference between two EMAs, which shows how fast prices are changing. When the gap widens, momentum is strong. When it narrows, momentum is weakening. The histogram makes this visual.
Yes, MACD can work as a standalone system using signal line crossovers. However, combining it with price action, support/resistance, or other indicators often improves results.
EMA crossover shows when EMAs cross on the price chart. MACD shows the same relationship (12/26 EMA difference) but adds the signal line and histogram, making momentum easier to see and providing additional signal types.
MACD works best in trending markets. In ranging/choppy markets, you'll see whipsaws. Using the zero line filter, adding trend filters, or only trading in trending conditions can reduce false signals.
The defaults work well for most situations on daily charts. Only change them if you have a specific reason (faster/slower signals needed) and you've tested the new settings thoroughly.
Identify the divergence (price vs MACD making opposite highs/lows). Don't trade the divergence alone - wait for MACD to confirm with a signal line crossover in the divergence direction. Place stop beyond the divergence extreme.
Regular divergence predicts trend reversals (price new extreme, MACD doesn't confirm). Hidden divergence predicts trend continuation (pullback in trend with MACD making new extreme). Both are valuable but for different purposes.
Look for MACD signals at key support/resistance levels. A bullish MACD cross at support is stronger than one in the middle of a range. Candlestick patterns (hammer, engulfing) add confirmation.
Both. Signal line crossovers are the main signals. The histogram gives early warning (when it starts shrinking, a crossover may be coming) and shows momentum strength. Use them together.
Use a higher timeframe (weekly) to determine trend direction based on MACD position. Then take signals on a lower timeframe (daily) only in the direction of the higher timeframe trend. This filters out counter-trend signals.
Measure current volatility (ATR percentile) or trend strength (ADX). In high volatility, use slower settings (19/39/9). In low volatility, use faster settings (8/17/9). In ranging markets (low ADX), consider not trading MACD at all.
Create a scoring system: +2 for multiple peaks/troughs, +2 for S/R confluence, +1 for volume confirmation, +2 for higher TF alignment, +1 for candlestick confirmation. Take trades scoring 5+, skip below 3.
Use RSI extremes (oversold/overbought) as setup conditions, then wait for MACD confirmation. RSI below 30 + MACD bullish cross = strong buy. Also look for double divergence (both indicators diverging) for highest probability reversals.
Rank signals by quality (histogram strength, confirmations). Take top-ranked within position limits. Monitor sector exposure (max 25%). Track portfolio correlation weekly. Rebalance when positions exceed 15% of portfolio.
Test multiple parameter sets (fast/standard/slow) across different market periods. Use walk-forward analysis. Track metrics by market regime (trending vs ranging). The best settings should be robust across conditions, not just optimized to one period.
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