Paper trading: why every serious system starts with fake money

"If your system is so good, why is it still trading with pretend money?"

It's the right question. And the answer separates the people who build systems from the people who sell dreams.

What paper trading is, exactly

Paper trading means operating a simulated account: the prices are real, the orders are mechanically real, the money is fake. Modern brokerages (like Alpaca, which we use) offer practice accounts where every order goes through the same circuit as a real order, at the real market price, without risking a cent.

It's not a game. It's a test bench with real data.

Why an honest system starts here

1. Proof before risk. A backtest (testing the strategy against the past) is easy to manipulate, even without meaning to: a small "leak" of information from the future is enough to inflate results. Live paper trading doesn't have that problem: today's decision is judged by tomorrow's market, which nobody knows.
2. Auditability. Every paper order is recorded with date, price and reason. Publishing that record is the cheapest and most brutal form of honesty that exists in trading.
3. Mistakes cost zero. Every system has bugs and edge cases. It's infinitely better to find them with fake money.

What paper trading does NOT prove

Let's be equally honest about the limits:

• Execution that's too perfect. In paper, orders tend to fill at the price you asked for. In the real world there's slippage (price drift) and queues. A good system discounts this in its expectations.
• Zero emotional pressure. It's easy to follow the plan when it doesn't hurt. That's exactly why the bridge from paper to real money should be gradual.
• Short samples prove nothing. Two good weeks in paper are noise. Months of public records, across different market regimes, start to be signal.

How to evaluate a paper track record

• Is it complete? (Bad days included, no erased periods.)
• Is it live? (Decisions published before the outcome, not after.)
• Is it verifiable? (You can see the positions and the prices, not just a percentage at the end.)
• Does it have risk context? (Max drawdown, exposure, position sizing.)

If the answer to all four is yes, you're looking at a system that takes itself seriously. The step to real money should happen when the record justifies it, and never before.

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Kamla currently operates exclusively in practice accounts, by choice: public validation first, real money later. Follow the public accounts at kamla.ai/performance.