Works in trending markets, struggles in ranging
| Strategy Type | Trend-Following Indicator System (ATR-Based) |
| Market Outlook | Works in trending markets, struggles in ranging |
| Risk Profile | Defined by ATR-based stop loss |
| Reward Profile | Unlimited - rides trends until reversal signal |
| Time Horizon | Swing to position trading (days to weeks) |
| Best Markets | Trending stocks, indices, commodities |
| Signal Type | Color change / Line cross indicates trend reversal |
| Market Hours | ASX: 10:00 AM - 4:00 PM AEST |
| Best Underlyings | Excellent for index trend following • BHP, CBA, CSL, RIO - liquid stocks with clear trends • STW, IOZ, IVV - broad market ETF trending • Mining, banking sectors often trend well |
| Timeframe Recommendations | Primary timeframe for swing trading • Position trading, fewer signals, higher reliability • Active trading, more signals, more noise • Day trading application (requires monitoring) |
| Indicator Formula | HL2 + (Multiplier × ATR) • HL2 - (Multiplier × ATR) • (High + Low) / 2 (median price) • Period: 10, Multiplier: 3.0 |
| Asx Considerations | ASX gaps common at open - use close for signals • Trade top 50 ASX stocks for best execution • RBA announcements can cause false signals |
Daily timeframe works best for most traders - provides clear signals with reasonable frequency (15-20 trades per year). Weekly is better for position traders wanting fewer, higher-quality signals. Intraday (4H, 1H) requires more monitoring and has more noise.
Trend-following systems like Supertrend have low win rates (35-45%) because they get whipsawed in ranging markets. However, winning trades are much larger than losing trades, resulting in overall profitability. The system captures large trends that offset many small losses.
Supertrend works well alone for its simplicity. Adding 1-2 filters (like volume confirmation or higher timeframe trend) can improve results. Don't add too many indicators - it causes analysis paralysis and curve-fitting. Start simple, add only if backtested improvement.
In ranging markets, Supertrend generates whipsaws - repeated signals back and forth without profitable moves. This causes drawdowns. Solutions: Use higher timeframe filter, accept whipsaws as cost of catching trends, reduce position size after consecutive losses.
Backtest on your chosen market for at least 5-10 years. Check profit factor (should be >1.5), maximum drawdown (acceptable level), and number of trades (enough for statistical significance). Default settings (10, 3.0) work for most markets. Only adjust if clear improvement shown.
ASX often gaps at open. Use the closing price for signal confirmation - only count a signal if the close is beyond the Supertrend level. For entry, you can use the open of the next bar or wait for a pullback. Gaps may cause slippage on stop-losses.
Default settings work for most liquid stocks. Volatile stocks (miners) may benefit from higher multiplier (3.5-4.0). Stable stocks (utilities) may benefit from lower multiplier (2.5-3.0). However, keeping consistent settings simplifies management. Backtest any changes.
Expect 5-10 consecutive losses during ranging periods. In extended choppy markets, 10-15 is possible. This is normal for trend-following. Size positions so you can survive 15+ consecutive losses. Don't abandon the system during normal drawdowns.
Yes, short signals occur when Supertrend flips red (above price). In Australia, you need appropriate approval for short-selling stocks. For indices, you can use CFDs or futures to go short. Consider that markets often fall faster than they rise, benefiting quick exits.
Use support/resistance to filter signals or adjust stops. Enter long signals that occur near support levels. Tighten stops when price reaches strong resistance. This combines trend-following with price structure for higher-quality entries.
Monitor rolling performance metrics. If profit factor drops below 1.0 for 3+ months, system may be out of phase. Also check if volatility regime has changed significantly (ATR much higher/lower than historical). Consider reducing size or pausing rather than abandoning the system.
Supertrend is inherently trend-following, but can provide context for mean-reversion. Trade mean-reversion only WITHIN a Supertrend trend - buy dips in uptrend, sell rallies in downtrend. When Supertrend flips, switch from mean-reversion to breakout mode.
Use walk-forward optimization: optimize on 2-3 years, test on next 6 months, repeat. Ensure parameters are robust across different periods. Test nearby parameter values - if small changes break profitability, it's curve-fitted. Prefer parameters that work across multiple instruments.
Scale in: Enter 50% on initial signal, add 50% on first pullback to Supertrend line. Scale out: Take 50% profit at 2R or resistance level, trail rest with Supertrend. This locks in profits while allowing trend riding. Adjust based on conviction and market conditions.
Rank all Supertrend signals by factors: trend strength, volatility, sector, correlation. Allocate more to strongest signals. Use inverse volatility weighting for position sizing. Rebalance as signals change. Consider using mean-variance optimization for overall portfolio construction.
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