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Candlestick Theory
AngloGold Ashanti’s recent price action reveals key confluence at critical levels. The 3.01% rally in the latest session (closing at 53.72) forms a bullish engulfing pattern near the 52.05 support level, suggesting potential short-term buying interest. Historical data indicates a recent high of 55.10 (August 15) and a low of 52.05 (August 19), with the latter acting as a psychological floor. A bearish dark cloud cover emerged on August 19, as the price opened above the prior high but closed near the session’s low, signaling possible exhaustion in the rally. The 53.70–54.30 range appears as a contested zone, with mixed candlestick signals suggesting volatility ahead.

Moving Average Theory
Short-term momentum remains bullish, with the 50-day moving average (approx. 53.20) above the 200-day MA (approx. 49.50), indicating an uptrend. The 100-day MA (approx. 51.80) aligns with the 52.05 support level, reinforcing its significance. However, the price currently trades below the 50-day MA, suggesting a potential pullback. A crossover above 54.31 (August 15 high) could trigger a retest of the 55.10–55.62 resistance cluster, while a breakdown below 52.05 may accelerate the downtrend toward the 46.25–48.76 consolidation range (July 31–August 4).
MACD & KDJ Indicators
The MACD histogram has shown diverging contractions, with the line crossing below the signal line on August 19, hinting at weakening bullish momentum. The KDJ oscillator, however, suggests overbought conditions: K (85.4) and D (79.2) exceed 70, signaling potential exhaustion. A bearish crossover in KDJ is likely if the price fails to hold above 53.72, aligning with the MACD’s bearish bias. Conversely, a rebound above 54.31 could trigger a KDJ reversal into oversold territory (K < 20), offering a counter-trend opportunity.
Bollinger Bands
Volatility has expanded recently, with the bands widening to 52.05–55.10. The price currently trades near the upper band (53.72), suggesting overbought conditions. A break below the 52.05 lower band would validate increased volatility and target a retest of the 46.25–48.76 range. The 53.72–54.31 zone also represents a potential contraction phase, where a breakout could signal a continuation of the uptrend.
Volume-Price Relationship
Volume surged on the August 5–7 rally (6.19% gain), confirming the bullish move, but has since declined, weakening the trend’s sustainability. The recent 3.01% up-move on August 20 saw moderate volume (2.27 million shares), inconsistent with prior breakouts. This divergence suggests caution; sustained volume above 3 million shares would be required to validate a breakout above 54.31.
Relative Strength Index (RSI)
The 14-day RSI stands at 62.3, below overbought (70) but above neutral territory. A move above 70 would trigger a sell signal, while a drop below 50 could indicate a shift to bearish momentum. Historical data shows the RSI frequently oscillated between 45 and 75 in the 46.25–55.10 range, suggesting a likely consolidation phase. A sustained RSI above 70 without a corresponding price breakout would signal a false positive.
Fibonacci Retracement
Key retracement levels from the 46.25 (July 31) to 55.10 (August 15) trendline include 52.05 (38.2%), 53.20 (50%), and 54.31 (61.8%). The current price near 53.72 aligns with the 61.8% level, a critical pivot point. A breakout above 54.31 could target the 55.10–55.62 resistance cluster, while a breakdown below 52.05 may test the 48.76–46.25 support zone.
Backtest Hypothesis
The backtest strategy of buying RSI overbought levels and selling below 70 achieved notable outperformance, with a 45% return versus the 18% market benchmark (2022–present). This approach capitalized on volatility during the 46.25–55.10 range, particularly in August, where RSI spikes above 70 coincided with sharp corrections. However, the strategy’s efficacy hinges on confluence with other indicators. For instance, a RSI overbought signal on August 5 (RSI 72.4) aligned with a
Band contraction and bullish MACD crossover, leading to a 6.19% gain. Conversely, isolated RSI overbought signals (e.g., August 13) failed to produce significant returns due to divergent KDJ and volume signals. The strategy’s risk management—selling at 70—prevents prolonged downturns, as seen in the August 19 sell-off. Future iterations should incorporate moving average alignment to filter low-probability signals.If I have seen further, it is by standing on the shoulders of giants.

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