Multi-Stock RSI Strategy

Multi-Stock / Mean Reversion Intermediate Singapore FTSE 100 Stocks FTSE 250 Stocks UK Large/Mid Cap Equities

Captures oversold bounces and overbought pullbacks across multiple stocks

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Quick Reference

Strategy Type Cross-Sectional RSI Mean Reversion
Market Outlook Captures oversold bounces and overbought pullbacks across multiple stocks
Risk Profile Moderate Risk (Diversified basket with contrarian approach)
Reward Profile Consistent returns from mean reversion across stock universe
Time Horizon Short to Medium-term (Days to Weeks)
Iv Environment Works best in range-bound and moderately trending markets; struggles in strong trends
Breakeven RSI mean reversion occurs before stop loss hit

Payoff Profile

Profit from RSI extremes reverting to normal levels

Singapore Market Details

Primary Instruments FTSE 100/250 stocks with sufficient liquidity for RSI signals
Mas Compliance MAS regulated brokers required; foreign stock trading permitted
Trading Hours London: 4 PM - 12:30 AM SGT
Contract Size Individual stocks; position sizes based on equal risk or equal weight
Settlement T+2 for shares; instant for CFDs
Tax Treatment No capital gains tax for individuals in Singapore; dividends subject to UK withholding (0%)
Stamp Duty UK stamp duty 0.5% on purchases
Cdp Account Not required for foreign stocks; custody with broker
Singapore Relevance RSI mean reversion works globally; UK market provides diversification from Singapore

Frequently Asked Questions

What is RSI?

RSI (Relative Strength Index) is a momentum oscillator ranging 0-100. RSI < 30 = oversold (potential bounce). RSI > 70 = overbought (potential pullback). Calculated using average gains vs losses over 14 periods.

What does oversold mean?

Oversold (RSI < 30) means recent selling pressure has been strong and may be exhausted. Price may have fallen too fast and could bounce. It's a mean reversion buy signal, not a guarantee.

How many stocks should I trade?

5-10 positions is optimal. Diversification spreads risk across multiple RSI signals. Each position at 1% risk. Not all signals will work, so diversification smooths returns.

When do I exit?

Exit when RSI > 50 (profit target - momentum normalized). Also exit on stop loss (entry - 2×ATR) or time stop (20 days max hold). Don't hold forever waiting for perfect exit.

What is the market filter?

Market filter checks overall market condition (FTSE 100 RSI). If market RSI < 40, avoid new longs - entire market may be in crash mode. Wait for market RSI > 40 before taking signals.

What is RSI divergence?

Bullish divergence: Price makes lower low, RSI makes higher low. Shows momentum improving despite lower price. Stronger signal than RSI oversold alone. Look back 5-20 bars to compare.

How does volume confirm RSI?

High volume (>1.5× average) at oversold = capitulation (sellers exhausted). Stronger signal. Low volume at oversold = may drift lower. Volume spike at RSI bottom often marks turning point.

What is multi-timeframe analysis?

Check RSI across timeframes: Weekly RSI < 40 (context) + Daily RSI < 30 (signal). Alignment improves probability. Weekly provides trend context, daily provides entry signal.

Why limit sector concentration?

Multiple oversold stocks in same sector may indicate sector-wide problem, not individual opportunity. Limit 2-3 per sector. Prefer stock-specific oversold over sector-wide oversold.

What metrics should I track?

Win rate (>55%), profit factor (>1.3), average win/loss, Sharpe ratio (>0.8), holding period. Review monthly. Identify what works (RSI level, sector, etc.) and what doesn't.

How do I adapt RSI parameters?

High volatility: use 25/75 thresholds (wider). Low volatility: use 35/65 (tighter). Calculate volatility percentile and adjust. Walk-forward optimize periodically. Avoid static parameters.

What is risk parity for RSI portfolio?

Weight by inverse volatility: Weight = (1/Vol) / Σ(1/Vol). Lower vol stocks get higher weight. Each position contributes equal risk. More stable returns than equal weight.

How can options enhance RSI trades?

Buy calls on oversold (defined risk, leverage). Sell cash-secured puts (get paid waiting). Bull put spreads (credit if stock recovers). LEAPS for longer-term recovery plays.

What ML features predict RSI success?

RSI level, days oversold, divergence, relative volume, distance from MAs, ATR, sector momentum, fundamentals (P/E, dividend yield). Classification model predicts profitable vs unprofitable.

What is walk-forward optimization?

Optimize on rolling 3-year window, test on next 6 months, repeat. Parameters adapt over time. Avoids overfitting. More robust than single historical optimization.

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