# RNN 1st Gen Model Morgan Stanley Security brokers & dealers

Stock predictor AI models:
72.22% successful of 72 deals
$ 101.41 Last close price
at 18-oct-2021


Model's trade recommendations No return for period yet

0.62% Annual return

$92.64B Market Cap

β 1.55  


Model (following trade recommendations)


Underlying stock

S&P 500

Return for period
52wk return 10.50%
52wk Range
Sortino ratio 0.11
Sharpe ratio 0.10
Norm. RMSE 0.80%
Downside risk 13.53%
Volatility 0.00%
  • 1.00 (1.93%) Div (Yield)
  • BUY Analysts consensus recommendation

MORGAN STANLEY is a preeminent global financial services firm that maintains leading market positions in each of its three primary businesses: securities; asset management; and credit services. The company combines global strength in investment banking and institutionalsales and trading with strength in providing full-service and on-line brokerage services, investment and global asset management services and, primarily through its Discover Card brand, quality consumer credit products.

Industry sector: Finance

Sector classification: Security brokers & dealers

Deep Learning based analysis and prediction model for Morgan Stanley (MS) stock is a 1st Generation Non-linear Autoregresive with exogenous variable(s) (NARX) model based on the Recurrent Neural Network architecture.

Model is in the production pipeline since Sept. 30, 2015.

Market data for MS model training are being downloaded from the Quandl premium datasets on a daily basis.
Risks related to the novel coronavirus disease 2019 (COVID-19) caused by the virus named “SARS-CoV-2” are accounted for in this model in the form of the historical data coincided with outbreaks and other global events in the past used to train ML prediction model for MS.

Model is being retrained on a daily basis.

Float 1788M
P/E 12.64
Shares Outstanding 1792M
% Held by Insiders 0.19%
% Held by Institutions 86.05%
EPS (last reported FY) $3.60
EPS (last reported Q) $1.45
EPS, estimated (last reported Q) $1.28
Total revenues $44 B
Net income $6 B