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The graph shows the profit you would make between 2008 and 2018 inclusive, on a theoretical budget of 50 to 100 pounds, using the algorithm precisely described down to the last detail on this page. This is the one I've made public. On the eurodollar when there is a high volatility event (3 bulls heads on my economic calendar) (use dosh.tvhobo.com to see where the calendar is hosted on this site (we are not the source)), check the price 2 hours and 2 minutes before the scheduled minute of the event (the high volatility, '3 bull' event) and if there has been a movement of 140 pips (1400 points, using the smallest possible units at the company I trade with) in 10 hours up to when you check, ie up to the moment 2 hours and 2 mins before the scheduled event, trade with the direction of that movement, right then, 2 hours and 2 mins before the event, with a stop of 50 pips and a limit of 70 pips. The graph shows what happens. This info is provided to show you you can check and see what happens. If you use any such algorithm the risk and responsibility of not making mistakes is on your head, and as all 'spread betting' sites tell you, figures like 70%, 80% and so on of their 'retail users' lose money from using the sites, overall, ie they don't profit, they fail. Reasons for this vary, and there's no reason to suppose that just having an algorithm which works will give you, personally, profit - you need to use it correctly and not make any stupid mistakes or do stupid things. This is here so you can see on paper that this method works, evidence of my 'claims' in the document above. Evidence of the demonstration of what Soros, perhaps, may be talking about. Velocity, after all, is driven by the actions Soros 'credits' with impacting prices (at various points, not universally or fluidly, let us also remember). (A price may also rise because of actual value, potentially, or not rise in accordance with actual value due to entirely misleading information, or whatever. That also happens. But so does movement driven by velocity, I have discerned, and Soros apparently makes big money from movement driven by irrational choices of humans (which do things like push velocity one or other way). Theoretically if one used my algorithm one would, if one did it the way I do, protect as much as possible against one-off insane fat-tailed events - this would be done by using a guaranteed stop, a little past the desired stop, and then orders linked to each other for the 'real stop' and limit, at the designated spot. The orders which I placed would also have a stop and limit on all of them, wide enough to not be overridden with a sudden spread change, in fact about 10 pips (100 of those points) each. I would watch such open trades like a hawk while they were open, and respond quickly to adverse occurrence, once in a century insane behaviour on the markets which is just about the only thing which could possibly break through such tough anti-risk measures - and even then I'd stop the problem, the risk would be beaten. After all, the number of times you need to watch like a hawk is very few per year and the amount of time you need to watch is also small. A few hours, a day maybe. Perhaps a tad longer, not much more, ever. And you can go to sleep, put your mobile phone alert on and be ready if anything does go bump in the night. To be sensible one might also have a profit limit attached to the main trade (and the guaranteed stop) in case it rockets one way and then dives back. Don't want to miss it. If it leaps past your limit you don't want to leave it to chance.
So what's the best thing to do with this information? Easy. Download for free, or buy, large large large amounts of data by the 'tick' - ie the 'tick data' going back as many decades as possible, for any and every given 'instrument' you can, indices, currency crosses, commodities, even stocks, particularly the big ones, and write software, eg using perl, my favourite language, or apparently python may be a good one too, although I don't know anything about it at all. And with that software, which you write, you can test out all that tick data in umpteen ways, with the basic understanding relayed in this document to help you with one (out of no doubt many, perhaps innumerable) way to establish the trading trigger. Test any and every algorithm idea out on a vast tract of data so that you can find those which deliver profit consistently across many decades. Below is another example (instructions not revealed, only the outcome), showing an algorithm theoretically at work from 2004 to 2018 inclusive, 15 consecutive years. This is the sort of outcome you want to achieve, this is what you should be looking for in an algorithm (not going to be possible with merely an 'investment', only an algorithm can enable a result like this).
Some more evidence of the maths involved in the algorithms above. This first example with instructions shown also, testing the maths on the DAX (Germany's main index):
And these ones with instructions concealed:
These examples on the ftse index, s & p 500 index and the Dax index only use about 6 years of data, however, and I would test them much more before considering them viable. As they stand they seem to strongly support the mathematical principles involved.
ERROR: that s and p chart is actually a FTSE one, I didn't notice I was using ftse data on that, however the result is still positive and doubly good as it shows that variations of the algo work on the FTSE - as for an S and P algo, I'll get one working and then share it - and will update that image asap so it doesn't say S and P.
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Click here to read about Shams Pirani, the editor and chief author on this grid - note, if you can actually prove anything written above wrong, I would gladly, if the proof is sufficient, correct what I've written and what I think - if I could, however, prove your attempted proof wrong, then I would accordingly say so and maintain whatever point of view is completely based on fact and proof.