a winner - analyze indices!
- 50% of a stock's price movement is due to industry influence. You
cannot be a winner without an analysis of various industries.
- Index components are the stocks of well established companies and
trading these stocks is less risky.
Every trading day you can find here prediction of the major market and
industry indices and the list of bullish and bearish index stocks.
Dow Jones Industrial Average and Nasdaq-100
Daily GP analysis.
Renewal time is about 8 pm ET. Delays are possible
when our market data providers do not supply the data on time.
Sorted list of the market and industry
The larger the growth parameter, the larger
expected 3-5 day return.
Price change prediction of Dow stocks
Current index data
Stocks to watch
For $5 a month you can try our subscription service. Every day
- Daily lists of most bullish and bearish stocks of main indices
- Sorted stocks of industry indices including NASDAQ-100 stocks
These lists can help you to select bullish and bearish stocks for
short-term trading or to determine the best time to make corrections
in your investment portfolio. No obligations, no recurring billing.
- Growth Parameter
The growth parameter (GP) is proportional to the most probable
% price change in 3 to 5 days.
We calculate GP of major indices from 4, 8 16 and 32 day price
patterns of all index components.
We also calculate the Growth Parameters for all index stocks. Short-term
returns of the first five stocks from the sorted lists are 3 to
5 times greater than the average. The returns of the last stocks
in the lists are very small or negative even for a bull market.
The sorted stock lists can be useful for day trading, short-term
trading and for determining starting points for long-term investing.
Perform your own analysis of the Dow Jones Industrial Average (DJIA).
We present historical data since January 3, 1900. Text data file
of the closing prices of the DJIA is available here.
We also present Dow Jones historical graph and statistical analysis
of DJIA returns.
You can also find the historical
data for some major ETFs (average daily returns, standard
deviations, correlations). These ETF data can help you to build
an efficient investment portfolio.