Menu Driven Conditional Analytics
MarketBrowser AE makes it extremely easy to view and test market micro-conditions, from the simplest "If/when" and "If/then" conditions, to the most complex, multi-instrument, multi-expression conditions you can imagine. Use these menu-driven capabilities to evaluate investment, trading and risk exposure strategies, subject to your chosen performance metrics and constraints. Back-test your strategies -- and drive them into the future using MarketBrowser's random-walk facilities
With MarketBrowser AE's Conditional Analytics, simple or complex conditions among your chosen instruments, indicators and custom equations, can be co-mingled with single- or multi-series conditions to visually, identify and mark each instance when your chosen conditions are met, and to drive a trade or investment simulation -- from the simple to the highly complex. Easily mark each instance when your test conditions are all met on a graph of the security of interest, then use these marks to trigger buy/sell signals as a series in a new window upon which you can perform even more sophisticated analytics. Buy/Sell signals are not limited to movements within the series under study, but can be triggered by any combination of market events, involving any combination of instruments or other time series which you choose. Your analysis will be so deep, you'll practically Be Omniscient—Guranteed.
- Calculate a security's profit & loss over time based on possible buy/sell strategies
- Backtest new and existing trade strategies - quickly, easily and efficiently
MarketBrowser AE - click to enlarge
How does MarketBrowser AE give users the ultimate in flexibility to apply Conditional Analytics to investing decisions?
Here's an example. In the worksheet above (you may click it to zoom up your view), a strategy is depicted for investing in a primary security, in this case, INTC, when it shows a price uptick on days when a broader market indicator -- is moving negatively. Here is a narration of this worksheet by relevant Window number (windows W1 and W2 are discussed at the end as these contain the summary performance statistics.)
W3: 6 month history of INTC
W4: 6 month history of closing prices of INTC
W5: 6 month hisotry of SPX
W6: 6 month history of closing prices of SPX
W7: Daily percent change in INTC Close
W8: a zero/one series showing days when the percent change in INTC exceeds zero
W9: Daily percent change in SPX Close
W10: a zero/one series showing days when the percent chagne in SPX is negative
W11: A zero/one series showing days when INTC percent change is positive and SPX
percent change is negative. This is the buy strategy we are testing. That is, buy
on those occasions when INTC went up while the SPX went down the prior day.
W12: the actual purchase prices using a single-share buy rule, buying that single
share when W11 shows a one value.
W1: an mSheet utilized to depict a scorebox of the performance of this strategy.
Note that this mSheet's stats are of course driven by the data in the various windows
of this worksheet.
W2: The cumuative profits or losses of the strategy.
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