Close Brothers RSI Strategy

Close Brothers is a high-beta, headline-driven specialist lender, so it frequently reaches RSI extremes (both oversold and overbought), and these extremes create tradeable opportunities. The stock also tends to mean-revert after results- or regulatory-driven extremes, which makes RSI particularly effective for timing entries and exits.

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

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

Loan impairments (and arrears) arise when borrowers fall behind or stop repaying, and persistently bad loans become non-performing loans. Rising impairments mean a lender's loans are going bad, so it takes provisions and earns less, which can hit the share price hard. Stable or improving credit quality is a positive. For Close Brothers, motor finance and the FCA commission review add an extra regulatory dimension to the credit-quality picture.

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

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.

Close Brothers is highly correlated with the FTSE 350 Financials and the big banks. If Close Brothers is oversold but the sector isn't, it suggests a company-specific issue - don't blindly buy. If both are oversold, it's a sector selloff and can be an opportunity in a quality name. Sector context separates a 'good' oversold from a 'bad' one.

For Close Brothers itself, listed options are effectively unavailable, so CFDs and spread bets are the practical tools (leveraged, FCA 5:1, defined risk via a stop; spread-bet gains CGT-free, CFD losses offsettable). Options - ITM calls/puts (delta 0.65-0.75) or vertical spreads - only become relevant on liquid large-cap financials or indices, where mean reversion's quick 5-8% moves suit ITM exposure and spreads define risk when IV is elevated. For most Close Brothers RSI trades, a CFD or spread bet sized to a 2% stop is the right choice.

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

Weekly RSI sets 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 weekly direction with daily mean reversion unless weekly also at extreme.

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

Optimise the RSI period (9/14/21) and thresholds (slightly wider 28/72 is often best for a high-beta name). Add a signal-quality score (RSI extremity, volume, sector alignment, multi-timeframe, divergence). Classify regime (ADX > 25 = momentum, < 20 = mean reversion). Backtest over 5+ years. Sensible targets: win rate > 55%, profit factor > 1.8, Sharpe > 1.0, with a wider max-drawdown tolerance for the volatility.

Generally no. A model trained on a single stock's limited RSI history overfits, and an impressive backtest accuracy tends to collapse live once real spreads, slippage and a shifted regime (a motor-finance headline, a rate move) hit - and sizing by 'model confidence' concentrates capital into the model's worst breakdowns, which is especially dangerous on a volatile name. The factors that genuinely matter - sector alignment and volume confirmation - are already captured by the transparent rules-based score. If you research quantitatively, use it to understand what precedes failed signals, not to automate trade selection.

For Close Brothers itself, listed options are effectively unavailable, so you trade CFDs/spread bets - match position size to the signal type and budget for daily financing on longs. The Greeks matter where you use liquid large-cap financial or index options as part of the approach: mean reversion - delta 0.65-0.75 (ITM), 15-20 DTE; momentum - delta 0.55-0.60, rolling higher, 20-25 DTE; use spreads when IV is elevated (percentile > 60) to neutralise vega, and calculate theta before entry. Always translate the structure back to a defined risk under the 2% rule.

Keep the base allocation small (3-5% of the portfolio), rising to 6-8% only on a high-conviction RSI setup, because it is a high-beta name. Its historical VaR is high (15%+), so size it to contribute only a proportional share of portfolio VaR. Set a strategy drawdown limit around -18% and pause new entries if breached. Scale position size to the signal-quality score (8-9: 100%, 6-7: 75%, 5: 50%, below 5: no trade) - and note that a low-priced, high-beta name is often allocation-capped before the risk limit binds.