We Analyzed ETFS Commodity Securities Limited ($SSIL) – Here’s What We Found (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 SSIL has been trading over the last 2 weeks and the past day especially. On its latest session, ETFS Commodity Securities Limited ($SSIL) opened at 15.13, reaching a high of 15.13 and a low of 15.13 before closing at a price of 15.185. There was a total volume of 850.0.

VOLUME INDICATORS: We saw an accumulation-distribution index of 15.12, an on-balance volume of 15.22, chaikin money flow of 0.08447 and a force index of 0.00131. There was an ease of movement rating of -2e-05, a volume-price trend of -2.10955 and a negative volume index of 1000.0. What do these volume indicators mean for SSIL? Click here for an explanation.

VOLATILITY: We noted an average true range of 0.15533, bolinger bands of 15.30228, an upper bollinger band of 15.04772, lower bollinger band of 15.13, a bollinger high band indicator of 1.0, bollinger low band indicator of nan, a central keltner channel of 15.13, high band keltner channel of 15.13, low band keltner channel of 15.13, 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 15.13, a donchian channel low band of 15.13, a donchian channel high band indicator of 1.0, and a donchian channel low band indicator of 1.0. What do these volatility indicators mean for SSIL? Click here for an explanation.

TREND: We calculated a Moving Average Convergence Divergence (MACD) of 0.00202, a MACD signal of 0.00112, a MACD difference of 0.0009, a fast Exponential Moving Average (EMA) indicator of 15.13, a slow Exponential Moving Average (EMA) indicator of 15.13, 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 0.0263, a trix of -10.17853, a Mass Index (MI) of 4.6564, a Commodity Channel Index (CCI) of 66.66667, a Detrended Price Oscillator (DPO) of 2.46107, a KST Oscillator (KST) of -139.90475 and a KST Oscillator (KST Signal) of -139.90475 (leaving a KST difference of 1.27906). We also found an Ichimoku rating of 15.13, an Ichimoku B rating of 15.13, a Ichimoku visual trend A of 17.27767, an Ichimoku visual trend B of 16.57823, 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 SSIL? Click here for an explanation.

MOMENTUM: We found a Relative Strength Index (RSI) of 50.0, a Money Flow Index (MFI) of 50.20583, a True Strength Index (TSI) of -100.0, an ultimate oscillator of 3.52792, 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 -0.01067. What do these momentum indicators mean for SSIL? Click here for an explanation.

RETURNS: There was a daily return of -13.99048, a daily log return of 0.59308 and a cumulative return of 0.59484.

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 ETFS Commodity Securities Limited ($SSIL)…

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 ETFS Commodity Securities Limited ($SSIL) 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