You Should Be ‘Killing It’ Right Now

If you’ve missed any of the recent opportunities in the stock market, specifically the S&P 500, maybe you should consider taking a more quantitative approach.

Take a look at the shaded boxes that are encompassing the November low as well as the most recent pullback.

Utilizing our primary quantitative approach, each of these buying opportunities were clearly identified well in advance of price providing the chance to buy within those zones.

Our quantitative approach primarily utilizes volume-at-price data (which is the accumulation of time and sales data into histograms) to identify the specific price locations and zones that you see on the chart here (blue rectangles).

As price traded into the zone at 2085 – 2100 last November, our clients were fully aware and ready to take advantage of the opportunity at hand.

It may sound excessive but due to our publishing frequency and the different deliverables we provide to our clients, the buying opportunity at 2085 – 2100 had been communicated, without any deviation or change, more than 85 times to our clients.  So basically, in addition to the other things we were discussing over that time, this call was made more than 85 times in the 3 months prior to the opportunity arriving. (and it was a good one, no?)

At the time, in addition to that very specific zone having been identified far in advance, there were 4 additional, independent, real-time measures that supported the idea of a rally initiating exactly from that identified zone.

Now to be clear, when I say 4 additional independent measures what I’m absolutely NOT speaking about are indicators derived from price date or oscillators derived from price data.  (aka, technical analysis ‘tools’).

Indicators and oscillators derived from price data are NOT additional nor independent measures.  We already utilize price data as part of our time and sales volume data sets to create the volume-at-price histograms.

A price-based indicator, such as a moving average, is just an average of prices, not additional data, not independent.

An oscillator, such as a stochastic, is just a derivation of prices.  Not additional data and not independent.

A MACD is just a derivation of moving averages of prices.  See what I’m getting at?  Not additional data and not independent.  Making 1000 different manipulations and permutations of price data does not count as any additional measure, it’s still just a manipulated price data set.  And doing this, like what 99% of all ‘technical analysts’ do, does not provide any predictive edge whatsoever.

So, if you missed the +10% gain on this chart, or if you missed the +1.25% just recently, take a look at our work at i10 Research and give us a call about how we can help you.

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