Quote from krazykarl:
Simply put, it correlates price-action/volume of the equity with the action in the option chain for a specific time horizon. It attempts to identify what I call 'inflection points' in the chains and uses mutiple algorithms to confirm and exploit the action. The core is a general bias in the data it analyzes: I give it 2 inputs: the issue(GOOG in this case) and a bias(down in this case) and it does the rest. You read that right: it's not totally automated: just the trade executions are. The human, me, still tells it which direction to look.
It's 100% Java - my favorite language.
Kind Regards,
edit: a little more info. the distribution is 50% near-month, 20% point1, 20% point2 and 10% point3. The system will roll the contracts every month if the near-month gets too close to expiration and is otm or close the trade if it's itm and roll to the next month.
what is an 'inflection' point in your case? does it factor in volatility against historic levels, earnings IV inflation, etc? If you have to indicate a bias, that doesn't sound much like more than an order management progam. what about distribution -- are you trying to say you have a custom distribution vs black scholes (which uses cum. norm dist)?
i'm curious about execution ... do you plug into the IB API?
