I have come up with a way to profit with rise-or-fall trading 'bets' on stocks (as well as FOREX, commodities or any other financial instrument). It is not based on probability or Technical Analysis but rather on a proprietary multi-parametric mathematical equation which yields predictions for any given amount of time.
In short, the purpose of this thread is to monitor and ultimately prove the validity of this method. I will be posting numerous predictions here every day, and I trust that by month's end we will have assembled enough of them to judge in retrospect whether the success rates I am boasting are true or not, beyond any doubt.
The 3-peat Binary Trading Method works as follows: it declares that some financial instrument will rise or fall from its current price after some time have elapsed (it can be minutes, hours, days...you name it!). So, for example, we say that 'IBM will close higher today than its yesterday's close'. Or we can say 'now it is 11:00am GMT and Gold will close lower than its current price three hours from now, i.e. at 2pm GMT'.
If we are wrong, and gold closes higher at 2pm, then we 'double our bet' and insist that gold will close lower than its 2pm price at 5pm (i.e. after another 3 hours). Finally, if proved wrong again, we 'double our bet' once more by betting that gold will close lower than its 5pm price at 8pm exactly, i.e. again three hours after our last bet's expiration.
Now, mathematics and statistics teach us that, if these guesses were random, we would have a probability of around 12-13% of failing in all our three successive bets, consecutively. In other words, say twelve times out of one hundred we would lose $1 + $2 + $4 = $7 (since we double all the time, demanding to end up with a $1 profit each time), which adds up to $84 loss, as opposed to the 88 x $1 = $88 gain we would get from our successful bets, leaving us practically with no profit.
So what is the breakthrough of my discovery? Simple: it has managed to _consistently_ (that is, not 'statistically', but every time) lower this 12% to less than 5%! That means a 5 x 7 = $35 loss, compared to a 95 x 1 = $95 gain. That's a whopping 3-to-1 profit ratio! But even if we assume an (unfair) 80% pay-out ratio in our up/down binary bets, we would still get a a profit ratio exceeding 2-to-1!
But enough with words and claims. Let us see that _in practice_. Just monitor my predictions here starting today, _mark their timestamp_, and see how they worked out.
So join me here every day for fresh predictions and we will talk it over at the end of January.
...oh...and happy new year to all!
In short, the purpose of this thread is to monitor and ultimately prove the validity of this method. I will be posting numerous predictions here every day, and I trust that by month's end we will have assembled enough of them to judge in retrospect whether the success rates I am boasting are true or not, beyond any doubt.
The 3-peat Binary Trading Method works as follows: it declares that some financial instrument will rise or fall from its current price after some time have elapsed (it can be minutes, hours, days...you name it!). So, for example, we say that 'IBM will close higher today than its yesterday's close'. Or we can say 'now it is 11:00am GMT and Gold will close lower than its current price three hours from now, i.e. at 2pm GMT'.
If we are wrong, and gold closes higher at 2pm, then we 'double our bet' and insist that gold will close lower than its 2pm price at 5pm (i.e. after another 3 hours). Finally, if proved wrong again, we 'double our bet' once more by betting that gold will close lower than its 5pm price at 8pm exactly, i.e. again three hours after our last bet's expiration.
Now, mathematics and statistics teach us that, if these guesses were random, we would have a probability of around 12-13% of failing in all our three successive bets, consecutively. In other words, say twelve times out of one hundred we would lose $1 + $2 + $4 = $7 (since we double all the time, demanding to end up with a $1 profit each time), which adds up to $84 loss, as opposed to the 88 x $1 = $88 gain we would get from our successful bets, leaving us practically with no profit.
So what is the breakthrough of my discovery? Simple: it has managed to _consistently_ (that is, not 'statistically', but every time) lower this 12% to less than 5%! That means a 5 x 7 = $35 loss, compared to a 95 x 1 = $95 gain. That's a whopping 3-to-1 profit ratio! But even if we assume an (unfair) 80% pay-out ratio in our up/down binary bets, we would still get a a profit ratio exceeding 2-to-1!
But enough with words and claims. Let us see that _in practice_. Just monitor my predictions here starting today, _mark their timestamp_, and see how they worked out.
So join me here every day for fresh predictions and we will talk it over at the end of January.
...oh...and happy new year to all!
