This is by far my most favorite trading tool and I am pleased to share it with you. It provides empirical proof that profitable trading is not solely dependent on a high winning percentage. This tool is one of the features included with the desktop software that comes with my swing trading course. Try it out, I am sure you will agree it is an eye opener.
How to use this tool.
1. Enter the values for Win/Loss ratio and Win Probability (3.0 would be a 3 to 1 win/loss ratio and .50 would be a 50% win probability)
2. Enter desired "Lines Qty" to draw multiple equity curves
3. Click the "Generate" button to generate simulated equity curves
| Frequently Asked Questions
What does this tool show? What is a "Win/Loss ratio" parameter? What is a "Win Prob" parameter? What is a "Lines Qty" parameter? What are the "Kelly Val" and "Math Expect"parameters? |
Comments
Could you explain the ""Kelly Val" and "Math Expect"parameters" in more detail? Thanks
Both of these are fairly complicated but here goes….
The Kelly Criterion arose from the work of John Kelly at AT&T’s Bell Labs in 1956. His original formulas dealt with long-distance telephone transmission signal noise. But the gambling community quickly understood that the same approach may help them to calculate the optimal amount to bet on a horse and the best way to take advantage of overlays and underlays, maximizing the growth of your bankroll over the long term. Nowadays, Kelly Criterion is a recognized money management system and whenever the question of optimal betting size pops up in handicapping or money management books you always see Kelly formula mentioned.
The Kelly’s formula is : Kelly % = W – (1-W)/R
where:
* Kelly% = percentage of capital to be put into a single trade
* W = Historical winning percentage of a trading system
* R = Historical Average Win/Loss ratio
The math behind the system is pretty complicated. Kelly’s original paper is all but unreadable to non math majors.
For more in-depth information about using Kelly’s value in stock trading and long term investing please read the following literature (free ebooks):
http://www.bjmath.com/bjmath/thorp/tog.htm
http://www.bjmath.com/bjmath/thorp/paper.htm
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Mathematical expecation explained (using a Roulette wheel example)
On the roulette wheel there are 36 numbers, double zero, and the blank. That makes 38 spaces to bet on. Each bet costs $1 to play. The winner pays $35. To calculate the mathematical expectation of the roulette wheel you do the following:
Multiply the probability of winning by what you win when you win. And from that, you subtract the probability of losing by the cost of each bet. The difference is the mathematical expectation. If it’s positive, it’s a fair bet. If it’s negative, you don’t play.
[(1/38) x (35)] – [(37/38) x (1)] = mathematical expectation of playing roulette.
(35/38) – (37/38) = (-2/38) or (-1/19).
So in the case of the Roulette wheel, the best bet is not to play
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Hey Kevin!…this is soo cool…I can't stop playing with it…thanks for sharing!