PlugTest replays real ticks on your machine and writes down every decision as you take it.
Now playing: gold, Friday 7 March 2025, one trade rebuilt from 1,631 real ticks. Not a video.
You have studied ten thousand charts.
Every one of them was already over.
Reading a chart that has already happened is reading the ending first. PlugTest puts you in front of the market before it happens, one tick at a time, so you find out how you trade when you do not know what comes next. Then it writes it all down, so you cannot tell yourself a different story afterwards.
01 · Why ticks
A candle is four numbers and no order. The ticks are what actually printed, in the order it printed. So a one-second chart is real, a stop is hit at the moment it was hit, and the excursion of a trade is measured on price instead of guessed from a wick.
02 · The journal
So PlugTest keeps it. Every trade taken in the replay is written down with the chart attached, before you can forget it or improve it in memory. Below, March 2025: twenty-one trades on gold, every number from the ticks.
| Open | Price | Outcome | R |
|---|
03 · Analytics
Where the R came from and where it went. Which weekday pays, how long you hold, what your worst day looked like. It is all already there, because the journal wrote it.
Day of exit · net result · March 2025
Time between entry and exit
04 · The report
Cover, calendar, one page per trade with a clean chart, and the numbers that matter. A PDF from the app, nothing to export anywhere else.
05 · Indicators
Write a function, receive bars and ticks, draw straight on the chart. Lines, boxes, labels and tables, the primitives you already expect, running locally and never leaving your PC.
def calculate(bars, ticks):
# session high and low of the last 60 bars
hi = max(b.high for b in bars[-60:])
lo = min(b.low for b in bars[-60:])
start, end = bars[-60].time, bars[-1].time
box(start, hi, end, lo, color="#46dcff22")
hline(hi, color="#46dcff")
label(end, hi, "session high")
return plot((hi + lo) / 2, name="mid")06 · Your data
PlugTest reads your CSV where it already is. There is no upload step to skip, no broker to connect and no account on someone else's chart server.
Tick or OHLC CSV, indexed once by a native Rust engine
Multi-gigabyte files read in pieces, never loaded whole
No cloud, no broker login, nothing to authorise
On our side there is your account and your invites, and that is all
07 · Getting in
Every member holds three codes. You get one from someone who already trades with it, as a link or as a code to type.
A Windows installer that asks for no administrator rights. Create the account, confirm the email, you are in.
Ticks or candles, any instrument, any source. Updates arrive signed and install themselves from inside the app.
“I built PlugTest because every backtest I ran on candles was a story I was telling myself. Seats go to people who want the truth about their trading, not a prettier chart.”
Invite-only launch
Leave your address and you get a code when the next group opens. A code, not a newsletter.
A confirmation is on its way by email, from plugtrade.io. If it is not there, check the spam folder. Invites go out in small groups, from the same address.
Questions
A CSV of ticks (timestamp, bid, ask) or one of OHLC candles. Ticks unlock the second-based timeframes and the MAE/MFE measurements; candles cover everything else. Any instrument, any source.
Yes. It is drawn in your browser from 1,631 real XAUUSD ticks of 7 March 2025, aggregated into candles as they arrive, exactly as the app does. The trade is a long taken at the close of the breakout bar, stop under the low, target at two times the risk. The March journal above comes from the same rule applied to the whole month.
During the invite-only launch seats are granted, not sold. Pricing comes later, and members hear about it first.
Windows, as a desktop application. Updates are checked at start-up, signed, and installed from inside the app.
No. PlugTest is a replay and backtesting tool: there is nothing to connect and nothing goes live. The trading is your job, elsewhere.
On your computer. The CSV stays where you keep it; the index and the journal stay in the app's local storage. Our servers know your account and your invites, nothing more.