It's not a trading strategy per se, but a system or way of analyzing/understanding the market as it is through all market conditions. I call it a predictive/statistical model.
But since it's only a tool it and not an automated strategy it does require a vast amount of experience and knowledge in order to know how to exploit it. I spent a great deal of time developing it and all the pieces involved, so I know it's not 'crap' since it's already working.
I'm on holiday at the moment, so will respond to the rest of the good comments later on, but let's just say I've become more skeptical towards a collaboration, although it could be a fast-track for me to complete and further refine what I already have. Hence why I was tempted to move forward with it.
I'm surprised that nobody has yet asked the simple question about win rate or profit expectancy of the system. But this post now answers that question.
So what exactly would the programmer get if he does all the coding and understands the significance of it? Is it simply that the model states that there is an 80% chance of the market finishing higher today than yesterday? Or that there is only a 20% chance that the market won't test the lows of yesterday? If this is the type of information the model produces, I'm not sure how valuable this would be to the programmer. You still after all have to enter the trade and know how to manage it. Just because something has an 80% chance of happening, if you bet 20% of your account on it, and it ends up being a loser, you're back in a bad position and fear will set in for the programmer.
And lets not forget that just because the model says an 80% chance of the market finishing higher means something totally different it if opens 50 points below the close yesterday, or 20 points higher on a gap up. Entering a trade at those two different locations is a totally different thing. It sounds like all the entry criteria is in your head, in which case, the model is only really useful in your hands.
My hunch is that your statistical model helps you trade because you have faith in your reads of the markets and you know what a good entry is. Without thousands of hours of screen time, just because a model says there is an 80% chance of the market finishing higher doesn't mean many will be able to make money with it. How often do we have a mid-day plunge that ends up getting bought up? That plunge could every well destroy a trader who just assumed the model stated it would be a straight up day.
Since the model isn't spitting out entries and exists but just probabilities of the upcoming day and probabilities of levels being hit, its not that valuable to a programmer and I would hire someone to do the job. If its gonna help you make a ton load of money, and you say it will only take the programmer a couple of weeks, in a month you should be raking it in. If you aren't making a killing a month after the project finished, then its clearly going to be of limited use to the programmer anyway.
Perhaps if you share more precisely what type of into the model generates, we can all better understand how useful it would be to a non-trader. I can tell you, much of what I read here at ET is totally useless because of the way I read the market. Unless someone says "I just went short with a 10 point stop", what value is there in knowing that we are approaching some zone, or some retracement level, or that some indicator is flashing red, or that Wave 5 just completed, or .....