Ping is ready: the lab's bot, on your computer
The paper-trading bot the lab runs is now something you can run yourself. Demo for everyone, install for members, live version next.
A reader asked last week whether they could try the bot or at least see it. Fair question. Here is the answer.
Ping is the paper-trading bot the lab runs its own strategies on, packaged so you can run it on your computer with your own Kalshi key. It installs with one line on Mac, Windows or Linux, opens in your browser, and only ever listens on your own machine. It comes with eight built-in strategies, each carrying our real record next to the rule, losses included. Press Modify to change one, Customise to edit the rule's actual code in the box, or describe what you want in a sentence and your own Claude or OpenAI key writes the rule for you to read first. A "What Ping sees" panel shows, for every running strategy, which market it is watching and exactly what it is waiting for, in plain words rather than tickers.
Fills are counted the strict way: a paper fill only counts when a real trade prints through your price, with Kalshi's real fees. That is the rule that has kept the lab's paper numbers close to its real-money numbers, and it is the reason most backtests you see online look better than they trade.
See it first. The public demo runs on sample data, no sign-up, no key. Click around the dashboard, the strategy library, the editor and the fills page.
Members: install it today. Your install page gives you a personal one-line command. The key is tied to your membership and lives in your own keychain. This is a beta: tell us what breaks and what you wish it did, by replying to this email.
Not a member yet? Membership is $15 a month and now includes Ping along with the live bot's every real-money trade, the course, the prompt library and the lab kit. Join here, and the install page unlocks the moment you do.
Two honest notes. Ping is paper only in this version; a live-orders version is the next build, after a month of beta, and members on paper now get it first. And the code is readable Python: here is how it is built, what leaves your computer, and the two commands that let you check it yourself.
Nothing here is advice, and paper results are not real results. They are the honest start.