@Lahiru Fernando A first step I typically use in troubleshooting is to set breakpoints in the IDE. (see the docs https://www.quantopian.com/docs/user-guide/environments/algo-ide#debugger) . Setting a breakpoint at the order_optimal_portfolio
method allows one to inspect variables and, in this case, the inputs to that method.
Inspecting 'context.weights' (which are the target weights) it appears all the weights are positive. There aren't any short weights. This isn't a problem except one of the constraints is to be dollar neutral, or an equal amount of long and short positions.
What's happening? The optimizer will try changing the target weights to satisfy all the constraints including the dollar neutral constraint. It will also try to minimize the 'distance' from the original weights. In effect, the optimizer keeps decreasing the weights until it finds a solution. The first solution it finds is all weights equal to zero. This isn't probably what one wants but it does satisfy all the constraints. This result is dollar neutral ( equal long and short values). The result doesn't go over our max position size. The result doesn't go over our max leverage. And the result doesn't have any exposure to the common risk factors. The optimizer is simply doing what it was asked to do.
So, assuming this isn't the solution one really want's, what are some options? It's best to explicitly get pretty close to a solution and then use the optimizer to simply 'tweak' the results. In this case, ensure the target weights going into the optimizer include both long and short values and are pretty close to being dollar neutral from the beginning.
Good luck.
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