When calculating sources of liquidity, we only include the undrawn, available portion of committed bank lines maturing beyond the specified time horizon for each liquidity descriptor. For example, when assessing liquidity as adequate, we only include a committed revolving credit facility as a source if it matured beyond the next 12 months. Similarly, given that our liquidity assessment looks out over two years when assessing liquidity as strong or exceptional, we only include a facility maturing beyond 24 months as a source of liquidity.
We estimate BNGO Bionano Genomics stock forecast parameters by: Money Flow Index (MFI) with Logistic Regression
BNGO Bionano Genomics Stock Forecast (Buy or Sell) as of 25 May 2022 for (n+30)
Machine Learning utilizes multiple learning algorithms to obtain better predictive powers. In our research, we utilize machine learning to combine the results from the Neural Network with Money Flow Index (MFI) and Logistic Regression. Machine Learning based stock forecast (n+30) for BNGO Bionano Genomics as below:Time series to forecast n: 25 May 2022 for (n+30)
y axis:Potential Impact %
z axis:Color (yellow to green) Technical Analysis %
