Macquarie Group RSI Strategy

Stocks Intermediate Australia MQG LEPOs MQG Options (ETOs) MQG Shares

Works in Both Trending and Range-Bound Markets

Learn this and Australia-market strategies in depth — one-time purchase, lifetime access.
Unlock full hub →

Quick Reference

Strategy Type RSI-Based Momentum and Mean Reversion
Market Outlook Works in Both Trending and Range-Bound Markets
Risk Level Moderate to High
Time Horizon Swing Trading (3-15 days)
Best Conditions Buoyant markets and deal activity, strong AUM/fee growth, stable-to-falling rates, rising commodity and asset markets
Avoid When Market dislocations and volatility spikes, credit/impairment fears, regulatory or capital actions, pre-results uncertainty

Payoff Profile

RSI strategy captures both momentum continuation and mean reversion in a high-beta diversified financial (Macquarie)

Australia Market Details

Exchange ASX (Cboe Australia as alternative venue)
Trading Hours 10:00 AM - 4:00 PM AEST/AEDT (Sydney)
Pre Open Session 7:00 AM - 10:00 AM AEST/AEDT (pre-open order entry; staggered opening auction 10:00-10:09 AM; Closing Single Price Auction ~4:10 PM)
Margin Types Full payment on T+2 settlement, or leverage via margin loan (LVR typically ~30-70% depending on stock) • ETO takers pay full premium upfront with defined risk; ETO writers and LEPO holders post initial + variation margin via ASX Clear (SPAN-style), marked-to-market daily
Contract Cycle Monthly ETOs/LEPOs (expiry the Thursday before the last business Friday of the month); weekly options on select liquid classes; index futures quarterly (Mar/Jun/Sep/Dec)
Sector Financials - S&P/ASX 200 Financials (XFJ) constituent (diversified financial, ex-the-Big-Four-banks)
Index Weightage ~3-3.5% weightage (a top-5/top-6 constituent by market cap) • Major constituent - typically the largest non-bank financial after the Big Four banks
Company Profile Macquarie Group Limited (listed holding company); operates a Bank Group (Macquarie Bank, APRA-regulated ADI) and a Non-Bank Group • Diversified financial group - asset management, markets & commodities, investment banking, and banking (not a traditional retail bank) • Australia's largest investment bank and asset manager; a top-5/6 ASX company; operates across ~34 markets globally (~68% international income) • Assets Under Management ~A$900+ billion (Macquarie Asset Management - among the world's largest infrastructure/real-asset managers) • Global platform across ~34 markets, ~20,000 staff; strong institutional reach plus growing digital retail presence
Key Drivers Macquarie Asset Management AUM, base and performance fees - a primary, recurring earnings engine • Loan provisions/impairments in the banking & lending book, plus asset write-downs - rising impairments hurt the stock • Commodities & Global Markets trading income is the most volatile driver - commodity-price and market-volatility swings create large earnings variability (and high beta) • RBA and global central-bank rates affect funding costs, deposit margins, asset valuations, and deal/markets activity • Global M&A/advisory deal flow and principal-investment realisations (Macquarie Capital); competition from global investment banks and asset managers • APRA capital requirements (Macquarie Bank is an APRA-regulated ADI), ASIC conduct rules, and regulation across multiple jurisdictions
Quarterly Results Full-year results early May (31 March financial year-end) and half-year results early November; AGM late July with an operational update. Note: reports half-yearly, not quarterly.
Volatility Characteristics High-beta diversified financial; sharp reactions to markets/commodities income swings, impairment news, and results surprises

Frequently Asked Questions

Why is RSI useful for Macquarie specifically?

Macquarie is a high-beta diversified financial whose earnings swing with markets, commodities and deal flow, so it frequently reaches RSI extremes (both oversold and overbought). These extremes create tradeable opportunities. The stock also tends to mean-revert after results-driven or market-shock extremes, making RSI particularly effective for timing entries and exits.

What's the difference between RSI momentum and mean reversion?

Mean reversion fades extremes - buy when RSI is oversold, sell when overbought. Momentum trades in the RSI direction - buy when RSI shows bullish momentum (above 55), sell when bearish (below 45). Use mean reversion in ranging markets and momentum in trending markets.

Why wait for RSI to cross BACK above 30 instead of buying at 30?

RSI can stay oversold for extended periods in strong downtrends. Buying at RSI 30 is 'catching a falling knife.' Waiting for the crossback (RSI going above 30 from below) confirms that selling pressure has actually stopped and a reversal is beginning.

What are impairments and why do they affect Macquarie?

Impairments (and provisions) are charges Macquarie takes when loans or investments are expected to lose value - for example, rising bad debts in its lending book or write-downs on principal investments. Higher impairments reduce profit and can weigh on the stock. For Macquarie, big swings in its markets/commodities trading income can move the stock even more than impairments do.

How does RSI divergence work?

Divergence occurs when price and RSI move in opposite directions. Bullish divergence: price makes a lower low, RSI makes a higher low - signals selling exhaustion, potential reversal up. Bearish divergence: price makes a higher high, RSI makes a lower high - signals buying exhaustion, potential reversal down.

How do I adjust RSI thresholds for different market conditions?

In high volatility (ATR percentile > 75), use wider bands (25/75). In low volatility (ATR percentile < 25), use tighter bands (35/65). In strong uptrends, use 40/80 since RSI rarely reaches 30. In downtrends, use 20/60 since RSI rarely reaches 70.

Why is sector context important for Macquarie RSI trades?

Macquarie sits in the ASX 200 Financials index but, because so much of its income is global and markets-driven, it correlates with the index only moderately (often ~0.6-0.7) and can diverge from the bank-heavy sector. If Macquarie is oversold but the index isn't, it may be a company/markets-specific driver - don't blindly buy. If financials are broadly oversold, it's more likely a sector selloff and a quality-stock opportunity.

What options strategy works best for RSI mean reversion?

ITM calls/puts (delta 0.65-0.75) or vertical spreads work well. Mean reversion expects quick 5-8% moves resolving in 5-10 days. ITM provides good delta with manageable theta. Spreads define risk and work well when IV is elevated after selloffs or results.

How does volume confirm RSI signals?

Volume shows conviction. An RSI oversold bounce with high volume (>1.5x average) means institutions are buying - a stronger signal. A low-volume bounce may fail. Similarly, RSI reaching overbought on declining volume shows exhaustion buying - reversal likely. Volume validates or questions RSI signals.

How do I use multi-timeframe RSI analysis?

Weekly RSI sets the directional bias (above 50 = bullish environment). Daily RSI generates signals (extremes, crossovers, divergences). Hourly RSI fine-tunes entry. Best trades occur when all three timeframes align. Don't fight the weekly direction with daily mean reversion unless the weekly is also at an extreme.

What is an RSI failure swing and how do I trade it?

A failure swing is when RSI fails to make a new extreme after an initial extreme. Bullish: RSI drops below 30, bounces, pulls back but stays above 30, then breaks the bounce high. It shows internal strength. Trade it by entering when RSI breaks the reaction point. These often precede strong moves because momentum has already shifted internally.

How do I build a quantitative RSI system for Macquarie?

Optimise the RSI period (9/14/21) and thresholds (28/72 is often a good starting point). Add a signal quality score (RSI extremity, volume, sector, multi-timeframe, divergence). Classify the regime (ADX > 25 = momentum, < 20 = mean reversion). Backtest over 5+ years. Illustrative targets: win rate > 55%, profit factor > 1.8, Sharpe > 1.0. Validate on out-of-sample data before trading.

What features drive ML model predictions for RSI signals?

Typically sector alignment (ASX 200 Financials RSI) and volume ratio show the highest feature importance. This confirms traditional wisdom - sector context and volume confirmation matter most. The RSI value itself is necessary but not sufficient. ML captures interactions like 'RSI < 30 + high volume + financials sector oversold = high probability.'

How should I manage Greeks for RSI trades?

Mean reversion: delta 0.65-0.75 (ITM), quick moves benefit from some gamma, minimum 15-20 DTE. Momentum: delta 0.55-0.60, roll higher as the move progresses, use the next monthly series. Use spreads when IV is elevated (percentile > 60) to neutralise vega. Calculate theta impact before entry.

What's the appropriate position sizing and drawdown limit?

Base allocation 6-8% of portfolio, max 10% for high-conviction RSI signals. High historical VaR - size to contribute a proportional share of portfolio VaR. Strategy drawdown limit -18% (accommodates high beta). Scale position size to the signal quality score (Score 8-9: 100%, 6-7: 75%, 5: 50%, <5: no trade).

Master Australia trading strategies on AlgoKing

Full guided lessons, quizzes, and a complete strategy library for the Australia market. One-time purchase. No subscription, ever.

Get Australia access →