| Market Hours Strategy | Review the prior day's StochRSI close and the SPI 200 overnight (night session) move; the night-session reaction to US markets usually sets the day-session bias • ASX cash opens 10:00 AM AEST and the SPI 200 day session from 9:50 AM - StochRSI can spike as overnight gaps are absorbed; wait for stabilisation • 10:30 AM-3:00 PM AEST - cleanest window for StochRSI crossover signals once the opening auction has settled • 3:00-4:00 PM AEST (cash close 4:00 PM, SPI 200 day session to 4:30 PM) - StochRSI reversals are common into the close; manage intraday positions |
| Asx Specific | 14-period RSI, 14-period Stochastic, 3/3 smoothing is the standard baseline for the ASX SPI 200 Index Future • 3 & 10 Year Treasury Bond Futures are the most liquid ASX 24 contracts; StochRSI works well, but they trend on RBA and rate expectations so respect the macro trend • StochRSI works best on liquid, high-turnover names - resource and financial leaders (BHP, Fortescue, CBA) give the cleanest oscillator behaviour • The SPI 200 is valued at A$25 per index point (1-point tick = A$25); 3/10 Year bond futures carry A$100,000 face value - size positions off the point multiplier, not 'lots' • ASX Clear (Futures) sets SPAN-based initial margins (SPI 200 roughly A$8,000-12,000/contract, varying with volatility); StochRSI swing trades held overnight must keep adequate margin |
| Asx Commodities | Australia is a major gold producer; gold is traded via CFDs or COMEX/international futures. Gold StochRSI moves smoothly and crossovers are reliable for entries • Accessed via CFDs or WTI/Brent international futures; StochRSI is excellent for crude timing as it reaches extremes in trending sessions • Australia's largest mineral export; iron ore futures trade on SGX and via CFDs and drive resource-stock and AUD momentum - watch the China demand narrative • ASX Wheat, Barley, Canola (Eastern/Western pools) and Wool are domestic, seasonal and weather-driven with thinner liquidity; use a longer RSI (21) to cut noise • International metals/energy via CFD trade nearly 24 hours and the overnight session often shows cleaner signals; ASX grain futures trade set domestic sessions |
| Aud Currency | AUD/USD via ASIC-regulated CFDs or CME futures; the AUD is a commodity currency, so its StochRSI tracks iron ore, coal and global risk sentiment • AUD/USD StochRSI correlates inversely with the US Dollar Index and positively with commodity prices and Chinese growth data • RBA cash-rate decisions and the Statement on Monetary Policy cause sudden StochRSI spikes around the 2:30 PM AEST announcement; trade cautiously into these |
| Tax Implications | Australia levies no securities transaction tax; trading costs are brokerage plus ASX clearing/exchange fees and the bid-ask spread • If the ATO treats you as carrying on a business of trading, futures/CFD profits are ordinary assessable income and losses are deductible (no CGT discount); CFD gains are generally ordinary income under ATO guidance TR 2005/15, while investors holding capital assets over 12 months may access the 50% CGT discount • Keep a Tax File Number (TFN) and document StochRSI entry/exit levels, contract notes and broker statements for the ATO audit trail • The ATO may require quarterly PAYG (Pay As You Go) instalments once trading income becomes significant; financial supplies are input-taxed, so GST generally does not apply to the trading itself |
| Market Flow Correlation | The SPI 200 night session reacts to Wall Street; a strong US close often coincides with StochRSI leaving oversold at the next ASX open • Australia's roughly A$3.9 trillion superannuation system is a large domestic institutional buyer and can support StochRSI bounces from oversold • China is Australia's largest trading partner; Chinese data and iron-ore/coal prices drive resource-sector and AUD StochRSI moves • S&P/ASX index rebalances quarterly (Mar/Jun/Sep/Dec); StochRSI can whipsaw around quarterly futures rollover and rebalance dates |
Regular Stochastic applies the stochastic formula to price - measuring where the close is relative to the high-low range. StochRSI applies the same formula to RSI values - measuring where RSI is relative to its own high-low range. StochRSI is more sensitive because it normalizes the RSI range, producing more extreme readings and earlier signals.
Standard parameters are 14/14/3/3: 14-period RSI, 14-period Stochastic lookback, 3-period %K smoothing, and 3-period %D smoothing. This works for most situations. For scalping, try 10/10/3/3. For volatile instruments like resource-sector stock CFDs (BHP, FMG), try 14/14/5/5 for extra smoothing. Always backtest before changing.
StochRSI is very sensitive by design. Common reasons for false signals: (1) Trading in strong trends where StochRSI can stay extreme, (2) Not using trend filters (ADX < 30), (3) Trading every crossover instead of only those in extreme zones, (4) No confirmation (candlestick, volume). Add filters and require confirmation to reduce false signals.
StochRSI at 0 means RSI is at its lowest point in the lookback period - extremely oversold momentum. StochRSI at 100 means RSI is at its highest point - extremely overbought momentum. These extreme readings can signal reversal opportunity, but in strong trends, StochRSI can stay at 0 or 100 for extended periods. Always confirm before trading.
Use both together. %K is the faster line that leads; %D is the slower signal line. The crossover between them generates signals: %K crossing above %D = bullish, %K crossing below %D = bearish. The best signals occur when crossovers happen in extreme zones (oversold for bullish, overbought for bearish).
Use ADX and RSI together. ADX < 20: Ranging, both StochRSI directions valid. ADX 20-30: Moderate trend, prefer trend-aligned signals. ADX > 30: Strong trend, only trade WITH trend. Also check underlying RSI: RSI > 50 supports longs, RSI < 50 supports shorts. This ensures StochRSI signals align with overall momentum.
Analyze StochRSI across multiple timeframes for better signals. Higher timeframe (daily) StochRSI sets momentum context - if above 50, bullish bias. Trading timeframe (hourly) provides entry signals aligned with daily. Lower timeframe (15-min) fine-tunes entry. Best trades have alignment across all timeframes.
Backtest multiple parameter combinations on historical data. Test grid: RSI periods (10, 14, 21), Stoch periods (10, 14, 21), Smoothing (3/3, 5/5). Measure profit factor, not just win rate. Validate on out-of-sample data. Volatile instruments often need extra smoothing (5/5). Smoother instruments may use faster settings (10/10/3/3).
Double bottom + StochRSI bullish divergence = high probability long. Double top + StochRSI bearish divergence = high probability short. StochRSI oversold + price at support + bullish engulfing = strong long. Each additional confirmation increases win rate. Stack 3-4 confirmations for 65-70% win rates.
Ranging (ADX < 20): StochRSI oscillates fully between extremes, crossovers reliable, both directions valid. Trending (ADX > 25): StochRSI can stay at extremes for extended periods, counter-trend signals fail. Strong trend (ADX > 35): StochRSI stuck near 0 or 100, crossovers at extremes often fail. Adapt strategy based on ADX level.
Adaptive StochRSI adjusts parameters based on current volatility (ATR). High volatility: Increase smoothing (5/5 → 7/7) to reduce noise. Low volatility: Decrease smoothing (3/3 → 2/2) for faster signals. Formula: Adaptive Smooth = Base × (Current ATR / Avg ATR), bounded. Automatically adapts to changing market conditions.
Use current vs previous bar comparison: bullish_cross = (k_line > d_line) & (k_line.shift(1) <= d_line.shift(1)). Filter for extreme zones: bullish_signal = bullish_cross & (k_line < 20). Handle edge cases: warm-up period, division by zero if RSI range is flat, missing data. Test against charting platform to validate.
Portfolio StochRSI Score = Sum of (StochRSI × Position Weight) across all positions. Near 50 = balanced momentum exposure. Near 80 = portfolio overbought, reduce longs or add shorts. Near 20 = portfolio oversold, reduce shorts or add longs. Prevents concentrated directional bets and helps with portfolio-level risk management.
Double StochRSI applies the Stochastic formula to StochRSI values (StochRSI of StochRSI). Creates ultra-sensitive indicator that reaches extremes very quickly and mean-reverts rapidly. Useful for very short-term timing. Extremely noisy with many false signals - requires heavy filtering. Research application; not for beginners.
Yes. Train classifier on features: StochRSI %K, %D, separation, momentum, zone position, ADX, volume ratio, RSI level. Target: crossover success (1/0). Use probability output to filter entries (only trade P > 0.6) or size positions (higher P = larger size). Requires programming and continuous model retraining with new data.
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