Strategy Alert: Old Mutual - Rounding Bottom, Bearish-To-Bullish Reversal
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Please Note: When Published Intraday (JSE Equities), Prices Are Delayed By 15 Minutes.
"Strategy Alerts" help clients identify potential trading opportunities. When a ticker's real-time or pre-market price action aligns with a setup —such as a pullback to the 21-day EMA or a breakout from a consolidation base—it effectively "matches" that stock to the strategy, triggering an alert to a potential trading opportunity. This approach transforms the playbook into a dynamic scanning tool, allowing you to instantly categorize active stocks by the specific technical thesis playing out, ensuring that every trading potential opportunity communicated is backed by a predefined, actionable setup.
OMU currently matches setup #74
Lester Davids
Senior Investment Analyst: Unum Capital
READY TO TRADE: ACTIONABLE AREAS
For active traders who look to generate cash flow on a continuous basis, determining the ‘next best probability’ level to execute against may be of immense value, specifically by helping to determine the best potential times and levels to commit capital.
The blue and red horizontal lines on the chart represent a next-best-probability buy re-entry range and a next-best-probability sell re-entry range over the short term. The ranges assume no existing position is being held by a trader, while the probabilities are based on several factors, which may include:
Short-term ratings and medium-term regimes
Momentum indicators
Horizontal or diagonal support and resistance
Candle structure
Moving averages and standard deviation
Please note that these are short-term levels and may contrast with medium- and long-term outlooks, which are based on the weekly and monthly charts and are generally more applicable to long-term investors. These levels are subject to change based on market sentiment, subsequent price action, and company/sector-specific or macroeconomic news flow. As always, while the levels are outlined to guide your capital deployment, traders should be prepared to adjust in real-time based on the aforementioned factors.
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