A Deep Dive Into Learning Technologies Gr ($LTG) (2019-09-13)

REPORTING FOR 2019-09-13 | THEBUNSENBURNER.COM: With the assistance of the Beat The Market Analyzer software and our own in-house methods, we have conducted a deep analysis of how LTG has been trading over the last 2 weeks and the past day especially. On its latest session, Learning Technologies Gr ($LTG) opened at 124.0, reaching a high of 124.0 and a low of 118.6 before closing at a price of 120.4. There was a total volume of 2687719.

VOLUME INDICATORS: We saw an accumulation-distribution index of 4471.42222, an on-balance volume of 120.8, chaikin money flow of 16.02653 and a force index of 25.6. There was an ease of movement rating of -0.00728, a volume-price trend of 25.82088 and a negative volume index of 1000.0. What do these volume indicators mean for LTG? Click here for an explanation.

VOLATILITY: We noted an average true range of 2.55523, bolinger bands of 120.89706, an upper bollinger band of 117.50294, lower bollinger band of 118.6, a bollinger high band indicator of nan, bollinger low band indicator of 1.0, a central keltner channel of 122.2, high band keltner channel of 122.2, low band keltner channel of 122.2, 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 118.6, a donchian channel low band of 118.6, a donchian channel high band indicator of nan, and a donchian channel low band indicator of 1.0. What do these volatility indicators mean for LTG? Click here for an explanation.

TREND: We calculated a Moving Average Convergence Divergence (MACD) of 0.02692, a MACD signal of 0.01496, a MACD difference of 0.01197, a fast Exponential Moving Average (EMA) indicator of 118.6, a slow Exponential Moving Average (EMA) indicator of 118.6, 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 0.21791, a trix of 12.41068, a Mass Index (MI) of 1.8, a Commodity Channel Index (CCI) of 66.66667, a Detrended Price Oscillator (DPO) of -21.04408, a KST Oscillator (KST) of 215.713 and a KST Oscillator (KST Signal) of 215.713 (leaving a KST difference of 3.07516). We also found an Ichimoku rating of 124.0, an Ichimoku B rating of 124.0, a Ichimoku visual trend A of 104.40708, an Ichimoku visual trend B of 110.86143, an Aroon Indicator (AI) up of 4.0 and an AI indicator down of 4.0. That left a difference of 4.0. What do these trend indicators mean for LTG? Click here for an explanation.

MOMENTUM: We found a Relative Strength Index (RSI) of 50.0, a Money Flow Index (MFI) of 100.0, a True Strength Index (TSI) of 100.0, an ultimate oscillator of 79.57955, a stochastic oscillator of 50.0, a stochastic oscillator signal of 50.0, a Williams %R rating of -50.0 and an awesome oscillator of 0.80253. What do these momentum indicators mean for LTG? Click here for an explanation.

RETURNS: There was a daily return of 21.5713, a daily log return of 1.00672 and a cumulative return of 1.0118.

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 2019-09-13 (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 Learning Technologies Gr ($LTG)…

For a more complete analysis, run all of this through the BTMA software.

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 Learning Technologies Gr ($LTG) 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.

Franco Germanio

I am a PhD in Mathematics and perform comprehensive technical analysis on stocks.

3898 Forest Drive, Mclean VA 22101
Ph: 703-918-6381
franco@thebunsenburner.com
Franco Germanio

Franco Germanio

I am a PhD in Mathematics and perform comprehensive technical analysis on stocks. 3898 Forest Drive, Mclean VA 22101 Ph: 703-918-6381 franco@thebunsenburner.com