Read the thread again,I do not need to know what the market is doing. This is iff scenario (iff/akko - if and only if/ako i samo ako). If and only if the price reaches the required level, the second and all subsequent transactions are activated. ...

Optimized Risk vs Reward Equation

The process - no, not the one by Kafka — stupid, stupid, stupid, stupid image image image Why haven't I figured this out before? It hit me in the elevator. And I was thinking about completely different matter. A few weeks ago, during the ...

Optimized Risk vs Reward Equation

Optical Design & Engineering Saddle points reveal essential properties of the merit-function landscape Florian Bociort and Maarten van Turnhout Unlike other global optimization methods, a new approach transforms local minima into saddle points to ...

Optimized Risk vs Reward Equation

and an amusing real life example from yahoo answers How do you find the saddle point of a multi-variable function? f(x, y) = 6x^2 - 2x^3 + 3y^2 + 6xy I figured out that the critical points are (0,0) and (1, -1) and that: fx = 12x - 6x^2 + 6y fy = 6y ...

Optimized Risk vs Reward Equation

multiple saddle points — Analytic Combinatorics By Philippe Flajolet, Robert Sedgewick, saddle point analysis - page 589. multiple saddle points formula - page 601. url

Optimized Risk vs Reward Equation

saddle point — An easy explanation of saddle point: image and few notes regarding our situation: image I almost drowned in those damn hessian... things. image But we'll need more than one. I've started reading this: An Efficient and ...

Optimized Risk vs Reward Equation

I'm sorry, this is not what I'm looking for, there must not be any room for tweaking or misinterpretations, the goal is the most efficient equation. On the other hand, I'm glad that reading this thread gave you ideas that you think will work for ...

Optimized Risk vs Reward Equation

we know that x2=x1+y1 and x>y For real,rational, whole (these are just easier to start with) numbers, lowest value for x is 2 and for y is 1. If we take that y2=(x1+y1)-1, the first ten values for x and y are: x: 2,3,5,9,17,33,65,129,257,513 y: ...

Optimized Risk vs Reward Equation

And here is the example, query for e^x+1

Optimized Risk vs Reward Equation

The syntax is: derivate ln(e^x+1) second derivate ln(e^x+1) Now I can play with this and tweak a few things.

Optimized Risk vs Reward Equation

Well, it's even easier to just use wolfram alpha search engine url Here is the result for query integrate (x^3+x-2)/(x^2+1) image image image And the best thing is the ability to easily expand the series as much as I like. Additional ...

Optimized Risk vs Reward Equation

This is most helpful, web integral calculator with help. image url

Optimized Risk vs Reward Equation

Why the convergence is "good" and divergence is "bad". (you'll have to figure out what is subscript and what is superscript ) A series ∑an is said to 'converge' or to 'be convergent' when the sequence SN of partial sums has a finite limit. ...

Optimized Risk vs Reward Equation

Formally, this defines a partial order on Y, namely the (opposite of the) product order on image (more precisely, the induced order on Y as a subset of image ), and the Pareto frontier is the set of maximal elements with respect to this order. ...

Optimized Risk vs Reward Equation

As for maximising the eficiency of the equation — Pareto efficiency, or Pareto optimality, is an important concept in economics with broad applications in game theory, engineering and the social sciences. The term is named after Vilfredo ...

Optimized Risk vs Reward Equation

Darboux's theorem states that all functions that result from the differentiation of some other function on some interval have the intermediate value property (even though they need not be continuous). Let f : [a,b] → R be a real-valued continuous ...

Optimized Risk vs Reward Equation

OK, let's get back to math. Reading this article ( url ), got me thinking about ways to determine "the procedure to summon the wholy c" (without human/animal sacrifice ) We know that c is somewhere between a and b. In real analysis, the ...

Optimized Risk vs Reward Equation

Comparing twoblink's posts and these programs, all sorts of ideas come to my mind Saddle Points and Inflection Points url image image image image

Optimized Risk vs Reward Equation

Now I'm certain that the problem can be assessed and solved easier by combining two or more of these little programs (each one comes with the source code). These two are the best candidates for now Automatic Differentiation url image image ...

Optimized Risk vs Reward Equation

This is what we need, at least a variation of it. Fractional Derivative of a Power url (you can download this too and use it in player) This Demonstration lets you calculate and plot a fractional derivative of image . The operator of a fractional ...

Optimized Risk vs Reward Equation