Our first news is that we’ve found some terrific services that we believe will help immensely if you are trading Shanghai Baolong Automotive Corporation – take a quick look through the following:
Beat The Market Analyzer: http://tallahasseescene.com/recommended-tool-for-SHANGHAI603197-investors (this is a fantastic tool – use this to analyze Shanghai Baolong Automotive Corporation in much more depth)
MM Publishing: http://tallahasseescene.com/mmpublishing-for-SHANGHAI603197-investors
Trading Code: http://tallahasseescene.com/tradingcode-for-SHANGHAI603197-investors
Trader HR: http://tallahasseescene.com/traderHR-for-SHANGHAI603197-investors
REPORTING FOR 2019-07-15 | TALLAHASSEESCENE.COM: We have conducted a deep analysis of how Shanghai Baolong Automotive Corporation (603197) has been trading over the last 2 weeks and the past day especially. On its latest session, Shanghai Baolong Automotive Corporation (603197) opened at 19.45, reaching a high of 19.7 and a low of 19.26 before closing at a price of 19.45. There was a total volume of 1362219.
VOLUME INDICATORS: We saw an accumulation-distribution index of 120.02775, an on-balance volume of 19.59, chaikin money flow of 2.52 and a force index of 0.0962. There was an ease of movement rating of -0.0076, a volume-price trend of -2.8524 and a negative volume index of 1000.0.
VOLATILITY: We noted an average true range of 0.77313, bolinger bands of 19.64284, an upper bollinger band of 19.07716, lower bollinger band of 19.26, a bollinger high band indicator of 1.0, bollinger low band indicator of 1.0, a central keltner channel of 19.47, high band keltner channel of 19.22, low band keltner channel of 19.72, a high band keltner channel indicator of 1.0 and a low band keltner channel indicator of 1.0. There was a donchian channel high band of 19.26, a donchian channel low band of 19.26, a donchian channel high band indicator of 1.0, and a donchian channel low band indicator of 1.0.
TREND: We calculated a Moving Average Convergence Divergence (MACD) of 0.00449, a MACD signal of 0.00249, a MACD difference of 0.00199, a fast Exponential Moving Average (EMA) indicator of 19.26, a slow Exponential Moving Average (EMA) indicator of 19.26, an Average Directional Movement Index (ADX) of unknown, an ADX positive of 20.0, an ADX negative of 20.0, a positive Vortex Indicator (VI) of 1.0, a negative VI of 1.0, a trend vortex difference of 0.16739, a trix of -11.56224, a Mass Index (MI) of 1.0, a Commodity Channel Index (CCI) of 66.66667, a Detrended Price Oscillator (DPO) of 3.2857, a KST Oscillator (KST) of -145.73511 and a KST Oscillator (KST Signal) of -145.73511 (leaving a KST difference of 2.21772). We also found an Ichimoku rating of 19.575, an Ichimoku B rating of 19.575, a Ichimoku visual trend A of 23.4443, an Ichimoku visual trend B of 22.7006, an Aroon Indicator (AI) up of 4.0 and an AI indicator down of 4.0. That left a difference of 4.0.
MOMENTUM: We found a Relative Strength Index (RSI) of 50.0, a Money Flow Index (MFI) of 50.6583, a True Strength Index (TSI) of -100.0, an ultimate oscillator of -15.46193, a stochastic oscillator of 176.0, a stochastic oscillator signal of 176.0, a Williams %R rating of 76.0 and an awesome oscillator of 0.12483.
RETURNS: There was a daily return of -14.57351, a daily log return of 1.03307 and a cumulative return of 1.03842.
What the heck does all of this mean? If you are new to technical analysis, the above may be gibberish to you, and that’s OK (though we do advise learning these things). The bottom line is that AS OF 2019-07-15 (if you are reading this later, the analysis will be out of date), here is what our deep analysis of technical indicators are telling us for Shanghai Baolong Automotive Corporation (603197)…
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DISCLAIMER: We are not registered investment advisers and the above analysis should be taken at face value only. We strongly advise against buying or selling Shanghai Baolong Automotive Corporation (603197) based solely on our analysis above, and are not responsible for any losses that you may incur if you choose make any investment decisions based on the above.
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