core
Trains the engineered added connections inside the native fly simulation with paired reward trials on 2015 data. Sixteen pairs of 24-day rollouts (768 actual native decisions) compare opposite perturbations of the same weights on identical historical dates and starting cash. Rewa…
Native historical trading experiment
Trains the engineered added connections inside the native fly simulation with paired reward trials on 2015 data. Sixteen pairs of 24-day rollouts (768 actual native decisions) compare opposite perturbations of the same weights on identical historical dates and starting cash. Reward is 10000 × log(final equity / initial equity), including commissions, spread, slippage and dividends. No action or inactivity bonus, supervised action labels, forced order, or test-date feedback enters training.
The two returns move the 96 shared synapse parameters toward the better perturbation, with bounded updates. This is a small derivative-free reward-search experiment, not proof of predictive skill or a biologically validated learning rule. After an actual decision-neuron silencing check, weights freeze for the entire 2016–17 replay. Native motor spike counts alone select BUY/HOLD/SELL; the exchange may reject an infeasible order but cannot substitute a different action.
Starting cash is $1,000. Automatic two-second transitions carry cash, shares, costs, dividends, drawdown and comparison accounts across all five contiguous periods. The final dataset date stops playback and preserves the account; Restart replay explicitly starts over and is marked as repeated evidence.
A trading day takes 10/2.5/0.833 seconds at 1x/4x/12x. The decision window locks the action and its sampled rates; native activity continues between decisions without changing that locked action. Pause stops both. Random comparison accounts and a one-time 25% passive allocation use the same exchange assumptions.
Scoped to this part · feeds back into the world's score.