- Performance Test
Sun Microsystems (SUNW)
|
Tested Period (out-of-sample):
from 07/01/96 to 04/17/98
Number of Days Tested: 454
The shown results are compared with a Buy & Hold strategy.
1. Traditionally Computed MACD
Indicator
1.1 Graph
1.2 Statistics
Controlled Equity Curve at 04/17/98
[$]
|
35.876
|
Gross Profit vs. Buy & Hold [$]
|
-4.687
|
Number of Trades
|
14
|
Winning Trades [%]
|
36
|
Average Profit [$]
|
3.16
|
Average Loss [$]
|
-2.28
|
Average Profit per Trade [$]
|
-0.33
|
2. Five-Day Predicted MACD Indicator
Using KnowledgeMiner's Analog Complexing Method
These results were obtained implementing the
following daily procedure:
(Blue colored steps are user-driven. Red colored tasks
are completely solved by KnowledgeMiner using a special
simulation module inside KM).
- I. Data
Base
- i. Updating the data base
with the equity's actual close price and share
volume
- II.
Modeling/Prediction using KnowledgeMiner's Analog
Complexing Method
- i. Searching for several
most similar market patterns on the updated data
base
- ii. Generating several
5-day out-of-sample predictions and combining them
to a most likely prediction
-
.dmg/Shareware World/Education/KnowledgeMiner 3.0/Info/KnowledgeMiner Web Site/images/psunw0.gif/psunw0.gif)
- III. Applying
Predictions to the MACD Indicator as a Decision
Model
- i. Calculating the
indicator on historical and predicted price
data
- ii. Generating a signal
on the predicted indicator
- IV.
Decision
- i. Trading if a buy/sell
signal was suggested using the next day's close
price
-
2.1 Graph
2.2 Statistics
Controlled Equity Curve at 04/17/98
[$]
|
49.249
|
Gross Profit vs. Buy & Hold [$]
|
8.686
|
Number of Trades
|
11
|
Winning Trades [%]
|
64
|
Average Profit [$]
|
3.03
|
Average Loss [$]
|
-3.13
|
Average Profit per Trade [$]
|
0.79
|
Other tests:
INTEL
NOVELL
Back to: Report
Specials
|