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Frequently Asked Questions

Dr K VIX Volatility Model
If I have a day job and no mobile device and I can only check my email for any signal changes on my lunch break, which is in the mid-after noon, I'm I going to have a problem trading with the VVM? Do those leveraged ETF's move that quickly?

Can you get a low cost mobile device? That would greatly help in terms of placing trades immediately after the intraday signals. These ETFs can move especially during volatile markets.

That said, if you miss a buy or sell signal, the price taken of whichever ETF you choose to trade is the price at the time we sent the buy or sell signal. Each of our reports are time-stamped. That said, we will include the price of XIV at the time the report is sent if the report is sent when the market is open.

If the signal is to buy at the market open, the price of XIV would not be included. You would take the opening price of whichever ETF you decided to trade.

You would therefore know how much additional risk you are taking on if you bought at a higher price.

On balance, if you buy at your lunch break or end of day (after market hours), your entry price could be better or worse, since on an intraday (very short-term) basis, the direction of these ETFs is fairly unpredictable.

And some signals can last for a number of weeks such as the current SELL signal.

You might keep a tab of how much better or worse your entry price is for each signal. So in other words, if you entry price was 2% better on a SELL signal, then you have 2% "headroom" for the next change in signal. Thus if you bought the next signal 2% higher than the price at the time of the signal, you would still be flat (not at a deficit).

Since risk is most important, you might only take signals where you have a better or even price to the quoted entry price (or say, not worse than 1% of the quoted entry price if trading a 1x ETF). Then you build up "credit" to use against any future adverse entry price which will allow you to trade more of the signals.


Published: Apr 4 2016, Modified: Apr 5 2017