Trend Strength Portfolio

Stocks Intermediate Singapore SGX Stocks STI Component Stocks FTSE ST Mid Cap Stocks SGX-listed ETFs (incl. S-REIT ETFs)

Works Best in Trending Markets

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Quick Reference

Strategy Type Trend Following with ADX-Based Stock Selection
Market Outlook Works Best in Trending Markets
Risk Level Moderate
Time Horizon Medium Term (2-8 weeks typical holding)
Best Conditions Strong trending markets, clear directional moves, low to moderate volatility, sector rotations
Avoid When Choppy/ranging markets, ADX < 20 across universe, high CBOE VIX (> 30; no SGX local VIX exists), earnings periods

Payoff Profile

Trend Strength Portfolio captures directional moves in strongly trending stocks

Singapore Market Details

Exchange SGX
Trading Hours 9:00 AM - 12:00 PM and 1:00 PM - 5:00 PM SGT (60-min lunch break 12:00-1:00, orders queue but do not match)
Scan Timing After 5:00 PM SGT close for next-day analysis • Friday EOD for position management (also MAS short-position 'position day') • First trading day of month

Frequently Asked Questions

What's the difference between ADX and moving averages?

ADX measures trend STRENGTH (how strong the trend is) while moving averages show trend DIRECTION and support/resistance levels. ADX tells you whether a trend exists; moving averages tell you where it's going. They complement each other well.

Why do I need both ADX and +DI/-DI?

ADX alone only tells you strength, not direction. A high ADX could be a strong uptrend OR a strong downtrend. +DI > -DI indicates uptrend; -DI > +DI indicates downtrend. You need both pieces of information for complete trend analysis.

How many stocks should I hold in a trend portfolio?

Aim for 10-15 positions for adequate diversification without over-complication. Start with 5-8 as a beginner. Maximum 4 stocks from any single sector. More than 15 becomes difficult to monitor and dilutes returns.

What is DI crossover and why does it matter?

DI crossover occurs when +DI crosses above -DI (bullish) or -DI crosses above +DI (bearish). It signals a potential change in trend direction. Combined with ADX > 20, crossovers can provide entry and exit signals.

When should I exit a trend position?

Exit when: (1) ADX drops below 20 (trend died), (2) Opposite DI crossover occurs, (3) ADX peaks above 40 and turns down (exhaustion), (4) Price closes below 50 DMA, or (5) Stop loss hit. Weekly monitoring helps catch these signals.

How do I identify trend exhaustion?

Exhaustion signs: ADX peaks above 40-45 and starts declining, DI lines converging, price showing reversal candlesticks despite high ADX. This is Stage 4 in the trend lifecycle - take profits and tighten stops.

Should I trade both uptrends and downtrends?

For long-only investors, focus on uptrends (+DI > -DI). For advanced traders, going long uptrends AND short downtrends creates a market-neutral portfolio. In Singapore, shorting uses a covered short-sale (borrow the shares via SBL, mark the order as short, and report net short positions above the MAS threshold of 0.2%/S$2m weekly), or simpler retail proxies like a short DLC or a put warrant - there are no single-stock futures.

How do sector trends affect stock selection?

Stocks in trending sectors have tailwind support. Best setup: Strong stock trend + Strong sector trend (double tailwind). Avoid stocks with strong trends in weak sectors - they may be fighting sector headwinds.

What stop loss should I use for trend trades?

Two methods: (1) 2x ATR below entry - adjusts for stock volatility, or (2) Fixed 8-10% from entry. Trail stops using 20 EMA as trend progresses. Trend trades need wider stops than mean reversion trades.

How often should I rebalance the portfolio?

Weekly review: Check ADX and DI for all positions, identify weakening/strengthening trends. Monthly full rebalance: Re-run complete scan, rotate out underperformers, rotate in new leaders. More frequent rebalancing increases costs.

How do I build a quantitative trend strength model?

Combine multiple factors: ADX (25%), DI difference (20%), price momentum (20%), MA alignment (15%), sector alignment (10%), trend consistency (10%). Normalize each to 0-100, weight and sum for composite score. Score > 70 = priority, < 50 = avoid.

How should I adapt parameters for different market regimes?

Trending bull: ADX threshold 22, full position size. Trending bear: ADX 25, 75% size, focus on shorts. Ranging: ADX 30 (higher bar), 50% size. High volatility: ADX 30, 50% size, wider stops. Detect regime weekly using VIX and market trend.

How does risk parity work in trend portfolios?

Weight each position inversely to its volatility (Weight = 1/Vol, then normalize). Low-volatility stocks get more capital, high-volatility stocks get less. Result: Each position contributes equal risk. Creates smoother returns and lower drawdowns.

What ML features predict trend continuation best?

Key features: ADX momentum (5-day change), DI difference, sector ADX, price momentum (ROC), volume trend. XGBoost or Random Forest work well. Feature importance analysis typically shows ADX momentum and DI difference as most predictive.

How do I implement a long-short trend portfolio?

Long sleeve: 10 stocks with ADX > 25, +DI > -DI. Short sleeve: 10 stocks with ADX > 25, -DI > +DI. In Singapore the short sleeve is built via covered short-sales (SBL borrow + order marking + MAS net-short reporting), short DLCs, or put warrants - not single-stock futures. Balance: 50/50 for market-neutral or 60/40 for long bias. Rebalance weekly. Profits from trends in both directions regardless of market.

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