Using Market Reflex
Market Reflex leverages the power of local data
and computing to deliver calculation results that can't be obtained on the Web.
STOCK RESULTS RANKED FOR PROFITABILITY
Hundreds or thousands of stocks can be quickly backtested to
yield historical trades from which profitability can be calculated. Results are then ranked by profitability so that you can
easily see which stocks are most likely to succeed with the strategy being used.
WHEN TO CONSIDER A TRADE
Some of the stocks will show buy or sell signals for the next
trading day. If a sell signal occurs for a stock already held, a sale should be considered. Buy signals represent stocks
which may be considered for purchase during the next trading day.
THE KEY IS BACKTESTING
Backtesting differs from ordinary stock screening in that it
simulates trading with historical values using accepted technical indicators. It calculates trades and provides results such as profitability
and winning trade percentages.
If you know that a strategy has performed well in the past, you will be more confident about relying on it
for current trade signals.
MARKET REFLEX VALUES YOUR TIME
Once set up, Market Reflex can run unattended day after day,
downloading, updating and monitoring stocks - ready to deliver the information you need when you want it!
Even if you are new to technical analysis, it is easy to use with no formulas to enter or complex
programming.
MEASURING PROFITABILITY
Profitability in Market Reflex is the percentage return on the
capital utilized while the stock was held. The capital gain percentage for a trading period does not recognize
the duration for which capital was utilized in earning the gain.
For
example, two strategies that both earned $1,000 in a year on $10,000 capital
would have the same capital gain percentage of 10%. One strategy may have
held the stock for four months in total, the other for eight months. This
is not equal performance since the strategy holding the stock for four months
freed the capital for eight months for other investments versus only four months for
the other stock.
The performance of the strategies in this example can be fairly
compared by calculating the capital gain on the duration during which the
capital is actually utilized. For the first stock this would yield a
return of 30% versus 15% for the second.
STOCK STRATEGY RESULTS
The
table below shows the result of applying the four different strategies to each of
the 400 stocks of the S&P400 using one year of data. The 'Average RetOnUt%' is the average profitability as defined above. The corresponding
report which shows the profitability for each stock can be viewed by clicking
the strategy name in the table below. Each strategy required 12 seconds to
process 400 stocks
on a 2.4GHz processor. The report was prepared in less than one second.
|
Strategy |
Description |
Profitable Stocks |
Percentage Profitable |
Average RetOnUt% |
Average No. of Trades |
Winning Trades % |
| MACD1 |
buy 12,26,9; sell 12,26,9 |
200 |
50.0 |
1.6 |
17.8 |
39.1 |
| MACD2 |
buy 8,17,9 high base; sell 12,26,9 low base |
203 |
50.8 |
3.2 |
16.3 |
43.2 |
| Stochastic1 |
buy 14,6,6 ema histogram 4 bars; sell 14,6,6 ema histogram 4 bars |
211 |
52.8 |
2.7 |
8.8 |
60.4 |
| Stochastic2 |
buy %K positive cross at 30%; sell %K negative cross at 70%, both 14,6,6 ema |
223 |
55.8 |
6.5 |
7.4 |
57.5 |
These
results may surprise you. Stocks can vary widely in their response to a technical strategy and a given strategy is never suitable for all the stocks in
a group. For example, the profitability of the stocks using the MACD1
strategy ranges from -152.3% to 282.9%. If you were to pick an S&P400 stock with a planned strategy of
using the 'standard' values shown in MACD1 to buy and sell, you would want that
stock to be in the profitable 200. Market Reflex can tell you exactly
which stocks have delivered a good profit using that strategy and alert you to
trade signals for the next trading day.
Once
you have selected a stock of interest, you can then refine the strategy for that
stock to further improve future trade signals.
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Overview |
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