RTB Auction Simulator

This is a small prototype / learning implementation inspired by amazon-science/auction-gym (link: https://github.com/amazon-science/auction-gym).

What I added

• my_strategy.py — ThresholdBidder: bids = base_bid * user_score, capped at max_bid.
• evaluate.py — runs N simulated auctions (second-price logic), prints:
  • Win rate
  • Average clearing price

How to view (no runtime artifacts here)

Files are visible in this repo. This is a demo implementation prepared to explain auction logic and bidding strategy