International Bus. Machines
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|It was a first positive week after 3 consecutive negative weeks for the International Bus. Machines (IBM). During the week, the IBM gained 2.78 points, or 1.99%, and closed at 142.48 on Friday, July 06, 2018. Weekly volume was -37% below average. |
Long-term trend: [See IBM long-term trend chart]
A long-term uptrend had started on February 11, 2016 at 116.90 and reached 182.79 on February 16, 2017. IBM gained -65.89 points, or -56.36%, in 53 weeks. The chart has formed a Symmetric Triangle chart pattern. The uptrend support line (151.87) is broken. A broken support is considered to be a long-term bearish signal. Use the following links to access Trend Support/Resistance Help, or use the Technical Stock Screener to see the list of stocks with broken trend support in a long-term trend.
Medium-term trend: [See IBM medium-term trend chart]
A medium-term downtrend had started on January 18, 2018 at 171.13 and reached 137.45 on June 27, 2018. IBM lost 33.68 points, or 19.68%, in 22 weeks. The price is now at the 14.93% retracement level.
Weekly Technical Indicators: [See IBM weekly technical indicators chart]
Weekly Williams' Percentage Range is oversold. Use the Technical Stock Screener to see the list of stocks with weekly oversold Williams' Percentage Range. During the last week, weekly Lane's Stochastic signal line (%D) has moved above oversold area. Such crossover is considered a bullish signal. Oscillators are designed to signal a possible trend reversal. They can act as alerts and should be taken in conjunction with other technical analysis tools. Oscillators can be used to confirm other technical signals. Use the following links to access Lane's Stochastic and Williams' Percentage Range help.
The weekly MACD line is below its signal line since March 16, 2018. This is an indication that the medium-term trend is down. Use the following link to access a MACD help.
Short-term trend: [See IBM short-term trend chart]
A short-term uptrend had started on June 27, 2018 at 137.45 and reached 142.94 on July 6, 2018. IBM gained -5.49 points, or -3.99%, in 9 days. The price is now at the 8.38% retracement level.
Daily Technical Indicators: [See IBM daily technical indicators chart]
Daily technical indicators are neutral. During the last week, daily Lane's Stochastic signal line (%D) has moved above oversold area. Such crossover is considered a bullish signal.
During the last week, daily MACD line has moved above its signal line. Such crossover is considered a bullish signal.
During the last week, the price has risen above the Parabolic SAR (stop and reversal). A Parabolic SAR below the price is a bullish signal, and it indicates that momentum is likely to remain in the upward direction. A Parabolic SAR is used as a trailing stop loss for long or short positions. It works best during strong trending periods. Use the following links to access Parabolic SAR Help, or use the Technical Stock Screener to see the list of stocks with the Parabolic SAR close to the price level.
During the last week, the price has moved above the moving average in the center of the Bollinger Bands. The Bollinger Bands are often used with a non-oscillator indicator like chart patterns or a trendline. The signals are considered more reliable if these indicators confirm the recommendation of the Bollinger Bands. Use the following links to access the Bollinger Bands Help, or use the Technical Stock Screener to see the list of stocks with the price above the Upper Bollinger Band or below the Lower Bollinger Band.
Price is close to the 50 Day Moving Average. The moving average crossover signals work better when the stock develops a strong trend, but they are ineffective when the stock is in a trading range. Moving average crossover systems can be effective, but should be used in conjunction with trend patterns, momentum indicators, candlesticks and other aspects of technical analysis. Use the following links to access Moving Average Crossover trading technique, or use the Technical Stock Screener to see the list of stocks with the Moving Average close to the price level.