Predict stock price or index movement
with the highest accuracy on the market!
 
 Test Previous Close
SymbolActualPredictedAccuracy
AAPL 174.81174.1099.60%
AMAT 56.3356.2999.93%
CSCO 34.2234.6398.83%
MSFT 84.2785.4598.60%
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Customer Testimonial
7 May, 2008
“I just wanted to thank you for all of your wonderful picks over the last few months. I've subscribed to many stock sites and none of them even come close to yours when it comes to stocks that really do move up."

Larry, FL


10 June, 2008
“I have enlisted your services once before and I am doing it again for a long term basis. I was wondering how long you planned on keeping your site open. I have been telling all my friends and co-workers about your site.”

Scott, MI
Stock Forecasting Method
The Stock-Forecasting software predicts how stock price's trend are moving in short and long-term future
The Stock-Forecasting software uses newly invented mathematical formulas of neural network technology, digital filtration and statistical spectral analysis for the final decompression of company trend from market noise.
The Stock-Forecasting software allows a computer to attain information from a historical set of data, find a mathematical pattern and predict stock’s price trend for a time-frame period from 10 business days and up to 6 months.
The goal of this site is to maintain predictions with highest possible accuracy.

What is Forecasting Accuracy
Forecasting Accuracy is an actual accumulated record of statistical difference of the forecasting price on a trade and the actual fill price. For example if the actual price on the trade was a $20 and forecasting $20.50. The ACCURACY calculates as 1.00–abs(20-20.50)/20, and will be equal 97.5%.

ACCURACY is calculated for open, close, low, high and average quotes, for every day of trade, going back 50 days (weeks) from the last day of trade, to the same trading day of the actual historical quotes. Average "AVG ACCURACY" is a statistical average value of daily accumulated accuracy numbers.

Any user needs some indication of forecasting accuracy that can be used, without confusion, for determining how much reliance can be placed in the current forecast.

It is not possible to make the forecasting accuracy number appear better than it actually is. To achieve a high forecasting accuracy, we use an adaptive optimization of forecasting system, which responds and adapts to rapidly changing financial market conditions.

Go to the Testing and Comparison chapter to learn how you can test our software.

Example
How you can read the forecasting Tables and Graphics? For instance, you pick the company XYZ and press "FORECAST". What you will see on the screen and how you can interpret the results.
Forecasting Tables
As a result you receive a table which contains predicted data in a specified interval. There are seven columns, including the prediction date and predicted values of the open, close, low, and high price. In addition each table contains on "Average" column which is the predicted average price for the day: (Open + Close + Low + High) / 4 and "Vector" column. Each raw show quote: "OPEN, CLOSE, LOW, HIGH, AVERAGE and Vector" accordingly with day (week or month) of the forecasting. The last row shows ACCURACY for open, close, low and average quotes.

Vector’s column shows expected average price movement "Up or Down", in percents.

Strategy Column. Buy, Hold or Sell decision is based on mathematically predicted turning points (relative minimum or maximum value of stock quotes vs. time).

Forecasting Graphics
The forecasting quotes for the next 10 days shown in red and blue color.

Every single day on the graphic shows: open, close, low and high quotes. The HIGH value is the maximum point on the vertical line. The LOW value is the minimum point. The CLOSE and OPEN value is shown on the graph in vertical rectangle.

For example. Forecasted data. MSFT:
(Note: The results below are only a DEMO!)

1. If you click "Daily (10 days prediction)"
Each next row corresponds to one day ahead plus target price.

DateOpenCloseLowHighVector**Strategy***
Jun 30, 200827.5127.6927.5027.75 -0.21%Buy
Jul 1, 200827.5527.8327.2428.09 +0.03%Sell
Jul 2, 200827.7027.5526.9328.17 -0.30%Hold
Jul 3, 200827.3926.9726.6227.46 -2.03%Hold
Jul 7, 200826.9226.7126.6127.10 -3.03%Hold
Jul 8, 200826.7026.7626.5127.05 -3.31%Buy
Jul 9, 200826.7826.9126.7027.13 -2.86%Sell
Jul 10, 200826.5226.3825.8927.02 -4.41%Hold
Jul 11, 200825.9926.1025.6726.26 -6.02%Hold
Jul 14, 200825.6126.0125.5926.11 -6.65%Hold
Accuracy, %*98.4798.0198.7298.66

MSFT daily prediction

2. If you click: Forecast Data. MSFT "Monthly (6 months prediction)"
(Note: The results below are only a DEMO!)
Each next row of the prediction Table (June, July, August, September, October, November) corresponds to month ahead plus from May, 2007 - real time of trade.

First raw of the prediction Table:
June, 2007 - month of the forecasting quotes
Open - $31.75 - open forecasting stock price on the first day of trade in June
Close - $35.23 - close forecasting stock price on the last day of trade in June
Low - $31.29 - minimun forecasting stock price for June
High - $ 35.59 - maximum forecasting stock price for June
Average - $33.47 - average forecasting stock price for June
Vector + 10% - vector’s column calculates change of Forecasting Average Price relatively to “today” actual price

Next rows of the prediction Table correspond to: July, August, September, October and November accordantly.

Data Source Tables and Graphics.
You can view the actual historical database for companies of your chose. The databases available in Tables and Graphics are contained up to 400 days from "today".