I was looking for edge/quant models that can predict/estimate risk/reward and demand and/or positioning for size players in futures markets and synthetics.
It took a long time and ultimately involves fairly sophisticated statistics models.
Differential and integral functions of various regression model errors/residuals. This is similar to how you would design autopilot/robot/AI or automated control systems etc.
Futures markets are controlled by algos that use liquidity models based on things like volume, OI, vol, and resting/filled orders. IMO, its similar to this picture where the blue line represents volume buying and selling and the orange line represents the price or price vs something like VWAP or related assets/instruments.
IMO, full automation is an entirely different animal. Building useful models takes heavy math skills, but an actual managed robot takes very heavy programming chops and will entail significant risks. I wish I could tackle full automation but I'm much more of a mathematician than a programmer.
It took a long time and ultimately involves fairly sophisticated statistics models.
Differential and integral functions of various regression model errors/residuals. This is similar to how you would design autopilot/robot/AI or automated control systems etc.
Futures markets are controlled by algos that use liquidity models based on things like volume, OI, vol, and resting/filled orders. IMO, its similar to this picture where the blue line represents volume buying and selling and the orange line represents the price or price vs something like VWAP or related assets/instruments.
IMO, full automation is an entirely different animal. Building useful models takes heavy math skills, but an actual managed robot takes very heavy programming chops and will entail significant risks. I wish I could tackle full automation but I'm much more of a mathematician than a programmer.