While you’ve are enjoying the weekend, the brain cells here have been working overtime on various aspects of the “Futuring” problem that was discussed in Peoplenomics Saturday.
Without giving away the whole story the problem for most of us is how to collect and assimilate sufficient information (when making investment decisions) so that we are not investing our life savings in a crooked game.
Let’s just say the term “crooked” means investing where:
a) Insiders have significant advance information or
b) When pending orders are used by high frequency trading outfits to “front-run” trades and skim a bit off every legit trade or
c) When significant information asymmetry is involved in release of information such that only certain classes of investors know about pending price moves, management decisions, or other key variable before us “dumb” investors.
Grady (chief coder guru of our www.nostracodeus.com project) and I have been slapping this problem back and forth this weekend and we’re coming up with some novel ways to approach the knowledge engineering side of things.
One way we can do this is to “bit bucket” all currently scheduled events by using time domain statements in news stories to sort them.
Let’s say we took all news stories that have the words “this Wednesday” in it. We already know from our news “tickler file” what some of the items will be making headlines by the time you get done with work Wednesday. Hell – half that newscast on Wednesday’s drive home is in the can right now.
For example, the Fed decision will be announced about 1:30 Texas time. And that will be preceded by the release of petroleum reserve data a few hours before that, the Case Shiller Housing data on Tuesday morning.
But it goes deeper than that: We know, for example that Bernie Sanders will have a Washington State meet-up and both Calloway Golf and Facebook will report earnings Wednesday and that will give us additional insight into how people are spending their spare time these days.
Of course, the art of the future is being right over the long haul. Ures truly warned in December of 2014 (back here) that social media wasn’t going much of anywhere. and sure enough, in April of 2014, SOCL went to near present levels, then again in July of 2014, and then in November of 20914, and quick- look surprised – we are there again…
Which makes it hard to just park some money – you are being squeezed into a trade to win regimen and that, in turn, makes you hamburger for the high-frequency traders.
All of which is why we spend so much time pondering the future and working on how to beat it.
We’re thinking about an adaptation of the Delphi Technique for a limited set of participants (like Peoplenomics.com readers) because there seems to be some magic in using feedback to develop a keen sense of what’s going to happen – before it does.
But even the Delphi Technique, which is described in Wikipedia this way…
“The Delphi method (/?d?lfa?/ DEL-fy) is a structured communication technique or method, originally developed as a systematic, interactive forecasting method which relies on a panel of experts.[1][2][3][4] The experts answer questionnaires in two or more rounds. After each round, a facilitator or change agent[5] provides an anonymous summary of the experts’ forecasts from the previous round as well as the reasons they provided for their judgments.