What is the PumpPilot AI trade journal?

An automatic performance log for your paper trades. Every simulated fill is recorded and turned into win rate, expectancy, profit factor, average win versus average loss, an equity curve and per-asset attribution.

What is expectancy and why does it matter?

Expectancy is the average dollar result you can expect per trade: (win rate x average win) minus (loss rate x average loss). A positive expectancy means the strategy makes money over many trades even when individual trades lose.

Do I have to log trades manually?

No. Paper trades are journalled automatically the moment they fill, including entry, exit, size, the rule that triggered them and the resulting risk change.

Does good paper performance predict real returns?

No. Simulated fills ignore slippage, fees and liquidity limits, so journal statistics are an educational estimate of process quality — never a guarantee of real returns.

Public product overview

The PumpPilot AI paper trading journal

Most traders cannot say whether their strategy works, because nobody keeps the spreadsheet. PumpPilot AI logs every simulated fill automatically and turns it into the six numbers that actually describe an edge — win rate, expectancy, profit factor, payoff ratio, equity curve and per-asset attribution.

Open the live demo journal See the dashboard Start paper trading

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Not financial advice. All data shown is mock / demo. Momentum scores are probabilistic signals — not predictions of future returns. Crypto markets are highly volatile and you can lose all invested capital. Live execution is disabled and locked in this build.

The six metrics, explained

Win rate

wins ÷ total trades

The share of simulated trades that closed green. Useful, but meaningless on its own — a 30% win rate can beat a 70% one when the winners are larger.

Expectancy

(win% × avg win) − (loss% × avg loss)

The average dollar result you can expect per trade. Positive expectancy is the single number that says a process is worth repeating.

Profit factor

gross profit ÷ gross loss

How many dollars the strategy earned for every dollar it gave back. Below 1.0 means the losers are paying for the winners.

Avg win vs avg loss

payoff ratio

Shows whether your exits let winners run. A payoff ratio under 1 with a low win rate is the classic bleed pattern.

Equity curve

cumulative simulated P&L

The shape matters more than the endpoint: steady steps beat one lucky spike, and the deepest drawdown tells you what you would have had to sit through.

Per-asset attribution

P&L split by symbol

Breaks results down by asset so you can see whether the edge is real or came from one lucky name.

How the journal fills itself

1. A rule fires. A scanner rule or strategy matches a demo asset and opens a simulated position with a stop-loss and take-profit attached.

2. The trade is recorded. Entry, exit, size, the triggering rule and the risk consumed are written to the journal the moment the simulated order fills — nothing to type.

3. Stats recompute. Win rate, expectancy, profit factor and the equity curve update instantly, along with the per-asset breakdown.

4. You tune, then re-check. Change a threshold in the rule tuner, replay the same window, and compare the new journal statistics against the old run before you keep the change.

What the numbers cannot tell you

Simulated fills assume you get the price you asked for. Real markets add slippage, fees and thin liquidity, all of which reduce results — often most on exactly the fast-moving assets momentum strategies favour.

A short sample is noise. Twenty trades cannot separate skill from luck; judge a process over a few hundred and watch whether expectancy holds across different market regimes.

Everything here runs on clearly labelled demo data. It is educational, not financial advice, and past simulated performance never guarantees future returns.

Trade journal FAQ

See your own numbers

Place a few paper trades and the journal builds itself. No wallet, no real funds, no spreadsheet.

Open paper trading View the demo journal