Eighteen charts, a copilot with hands, and an interface made of glass.
This is the actual application — every image on this page is a
screenshot, not a mockup. Here is what is in it, why each piece exists,
and how the whole thing is put together.
01 · The cockpit
Up to eighteen live charts. Each one its own trading desk.
Most platforms give you one account and many windows. ORBIT
inverts it: every chart carries its own account, its own risk rails and its
own bot. Run the same strategy on three timeframes side by side, or three
different opening-range windows against the same instrument, and watch which
configuration is actually working — on the same screen, at the same time,
on the same tape.
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The cockpit. Three independent charts, each
with its own paper account, order ticket, risk rails and bot — and an
account rail on the right tracking every book at once.
18
Charts on one screen
Arranged in any layout you like, saved between sessions. Link charts
with a click of an LED and they share a wallet, a symbol and settings;
unlink and they go their own way.
1 : 1
Chart to account
Paper or live, chosen per chart. A chart armed on paper cannot reach
your broker at all — not a dry run, not a demo endpoint. The block
lives in the engine, not in a badge.
6
Opening-range windows
Sydney, Tokyo, Frankfurt, London, New York, Globex — each drawn on
the chart as it forms, each with its own trade budget, each able to run a
different configuration of the same bot.
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The status bar never stops talking. Feed
health and messages per second, which session is open and how long until
the next one, today's ATR, volume, range and average volume — and how
many signals each window has fired today.
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Same instrument, two lenses. The 5-minute on
the left for structure, the 1-minute on the right for the entry — the
opening range, value area and volume profile drawn identically on both, so
your eye never has to re-orient.
02 · The copilot
Just say… “Hey ORBIT”
ORBIT is a voice-native assistant that can see your whole
screen — not just the chart in front of you, but every window you have
open, and the relationship between them. The levels, the profile, your position,
your working orders, your risk budget. Ask her out loud and she answers out
loud, so your eyes never leave the tape. She will place an order when you tell
her to, call your fills, and tell you plainly when she does not know.
She also knows the books. Every account on the desk, what each one is
carrying, and the P&L of the book behind whichever chart you are asking
about — so “how is that one doing?” is a question with an
actual answer rather than an invitation to go and look it up yourself.
TAP HER — SHE’LL SPEAK
She reads the chart, not a script
“The range formed at 20:05
and broke above 29529.25 at 22:49. You're now in the waiting phase —
price is below the break point, and the retest window is open for another
55 minutes. That is the setup sequence working as designed.”
“Price is at
29522.75, inside the range. The visible profile shows the POC at 29523.00
— right where you are now. The strongest support line has six touches
and runs down from 21:34 to 22:53.”
“You're flat
and have 600 dollars of daily loss room left. The rules are waiting: if
price retests the range low and holds, the retest confirms and I fire. If it
breaks below the low before the retest window closes at 23:49, the setup
dies for today.”
Three answers, one
question each, and every number in them came off the chart in front of
her — the range, the break price, the profile's point of control,
the support line's touch count, the money left in today's budget, and the
minute the setup expires. Then she stops talking.
Voice in, voice out
Press the button or say her name. Pick the voice you want to hear
— several are available, and she keeps talking while you work.
Spoken orders
“Buy two at market.” “Place a sell limit at 29630.”
“Flatten.” She parses price from quantity, reads the order back,
and places it through the same guarded path your own clicks use.
Silence by default
She answers what you asked and stops. No unrequested chart commentary,
no filler while you are in a position — a deliberate design rule, not
an accident of the model.
No hands of her own
She cannot claim to have placed an order she did not place. Order
claims are checked against what actually reached the book before she is
allowed to say them.
Not a signal service
A coach, not an oracle. She explains; you decide. Every answer is
logged.
03 · Vision & hands
Her hands work.
This is no longer a thing she is going to be able to do. She
reaches the chart. Ask her about a level and she draws on it — a
glowing arrow whose point sits on the exact price she is naming, a dashed halo
around the zone she is explaining, labelled in her own words.
And her reach is not one pane wide. With the vision system integrated she can
point across windows — at the chart, at the panel beside it, at the
heatmap on the other monitor — and walk through how the things on your
screen relate to each other, marking each one as she goes.
It is the difference between an assistant that describes your screen and
one that is in it. Say “clear your marks” and they all go.
She points
A glowing arrow whose apex sits on the exact price she is
talking about — reaching down from above or up from below, with her
label riding the tail. Not "around 30160". There.
She circles
A dashed halo around the price zone she is explaining, sized with
the bars so it hugs the action at any zoom. It stays put while you keep
talking.
She labels
Every mark carries a word: THE RETEST,
ABSORPTION, YOUR STOP.
You can read the chart afterwards without replaying the conversation.
You clear it
“ORBIT, clear your marks.” All of it goes, in one
sentence. Her drawings are hers — yours are never touched.
Coming next
Highlighting any control in the app while she explains it, and
clicking through menus herself while you watch. In testing now.
Pointing and drawing work today.
Highlighting controls and driving menus are in active testing and are not
finished — they are on the roadmap, not in your hands yet.
04 · Execution
The whole order ticket, docked to the chart it belongs to.
Market, bid, ask, limit and stop — buy and sell, one click
each, always in the same place. Underneath: a full bracket builder with take
profit, stop loss, breakeven and trailing, in ticks or in dollars, with
multi-level scale-outs. Set it once and every entry inherits it.
ENLARGE
One ticket, every order type.
ENLARGE
With a position on. Open quantity, open P/L,
day P/L, and every resting order listed by name.
ENLARGE
Your bracket, on the price axis. Entry,
target and stop as live pills — with points and dollars to each.
OCO brackets
Stop and target attached at entry, cancelled together, in ticks or
dollars. Up to four scale-out levels.
Breakeven & trailing
Move the stop to entry after a set gain; trail by a fixed distance
with an offset. Both configured in money if that is how you think.
Cancel & flatten
One button that pulls every working order and closes the position.
It is the largest control on the panel on purpose.
Risk-based sizing
Tell the engine what a trade may cost you, and it sizes from the
distance to the stop — not from a fixed contract count. Three
separate rails cap the result.
Fire drills
A test-fire button that pushes a synthetic signal through the entire
pipeline, so you know the plumbing works before anything real is armed.
Real orders take a
deliberate act. Live trading requires two separate flags set by hand
in a configuration file on your own machine — there is no switch in the
interface that can turn it on, by design and permanently. Until you set them,
every chart in the building is paper.
05 · Your screen
Every panel collapses to exactly as much as you need.
Screen space is the scarcest thing a trader has. So nothing
in ORBIT is one fixed size: each panel folds down to a headline, opens to
the numbers that matter, or opens all the way — and remembers which
you chose, per chart.
MINIMISED
Balance, net, health. When you are watching price
and nothing else.
OPEN
The three rails, with how much room is left in
each — daily loss, drawdown, target. Read in one glance.
TICKET · COMPACT
Eight buttons and the flatten. Everything you
need mid-trade, nothing you don't.
TICKET · FULL
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And the whole bracket builder when you are setting
up, with ORBIT waiting at the bottom.
Macro Market Watch — and yes,
there is a light theme.
A strip across the top of the cockpit showing the names that
move index futures — NVDA, AAPL, MSFT, GOOGL, AMZN, AVGO, META, MU —
each with last, high, low, VWAP distance, previous close and volume. When five
or more sit on one side of VWAP, it says so, because that is when the break
behind you has something behind it.
THE WHOLE APP SWITCHES, NOT JUST THIS STRIP
06 · The Brain Engine
An AI inside the bot — and you are the one training it.
This is the part of ORBIT that gets better while you use it.
Not a model somebody else fitted to somebody else's trades: a brain that
learns from your tape, one labelled setup at a time, and is built to keep
learning across thousands of them.
Every time you mark a setup you believe in and commit it to memory,
the corpus grows by one and the engine has one more real example of how
you read a chart. It never stops being your data, and it never stops
being the thing that makes the model yours rather than generic.
Drop a label. It gets
a brain tick the moment it is saved. The corpus goes up by one — and
the next time she trains, she trains on that too.
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And here it is on the real chart
The pill only
appears when there is something to give her, and the number is how many
labels are waiting. Press it and they go — each one carrying the
chart around it, not just a price and a direction.
The pink brain
is deliberate. It is the same mark that appears beside every label already
in the book, so at a glance you can see which of your calls she has
learned from and which are still yours alone.
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It is measurably getting
smarter. Here is the same panel, days apart.
Twelve more labelled setups went into the corpus between
these two screenshots. Nothing else changed — same model, same
machine, same six skills. Watch what moved.
BEFORE · 198 LESSONS · 67%
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+12 LESSONS
AFTER · 210 LESSONS · 74%
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Range position
6% → 60%. The big one. Twelve labels taught it more
about where in the recent range you like to act than the previous
hundred and ninety-eight had.
Value-area map
12% → 22%. Slower, and honest about it.
Momentum reading
78% → 78%. Already learned. It did not pretend to
improve to make the picture nicer.
Opening range & directional bias
0% → 0%. Still nothing. On this corpus, so far, those
two have taught it nothing — and it says so rather than rounding
up.
Overall
67% → 74% learned, and held-out accuracy from 85% to
88% — now measured by 5-fold cross-validation across all 210
lessons instead of a single held-back fifth.
This is what "trained on
thousands of data points over time" actually looks like from the inside:
not a number that only goes up, but a number that moves when you teach
it something and sits still when you do not.
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Six skills, scored against held-back lessons
Momentum reading. Range
position. Volume pressure. Value-area map. Opening range. Directional bias.
Each one is scored by hiding a fifth of your labels, training without
them, and checking — so a skill sitting at 0% is telling you the
truth: on your corpus, so far, it has learned nothing there. It only moves
when you teach it something it did not already know.
The panel shows
the corpus size, when it last trained, how it scored, and every GPU in your
machine so you can choose which one does the work.
And it
does not trade. The Brain Engine studies your labels and reports what
it found. It does not gate the engine, place orders, or touch a live
decision. Promoting it to a voice in live trading is a step taken
deliberately, later, with your eyes open — not a thing that happens
to you one morning because a model got confident.
Only your labels ever enter the book. The
platform's own calls are kept in a separate store by construction and can never
be merged in — because a training corpus contaminated with the machine's
own guesses teaches the machine to agree with itself.
Where this goes next: a brain that learns from a fleet
Right now your Brain Engine learns from
exactly one trader — you. That is the correct place to start, and for a lot
of traders it is the whole point. But there is an obvious next step, and it is
worth saying out loud rather than shipping quietly.
Think of how a fleet of cars makes the
next release of the driving software better than the last: thousands of drivers
encountering situations no single driver would meet in a lifetime, and the
lessons coming back to a shared model. A shared Brain Engine is the same idea
applied to setups — a model that has seen how thousands of traders
labelled the same opening range, the same failed retest, the same chop, and is
therefore better at recognising all three than a model taught by one person in
one market on one screen.
Opt in, or nothing happens
This is off unless you switch it on, and switching it on is a
decision you make deliberately, not a checkbox buried in an installer or a
term you agreed to by using the product. Never retroactive: turning it on
does not reach back for labels you drew before you did.
Labels, never your market data
What a contributing trader would share is their own judgment
— the labels they drew and the shape of the setup under them. Not the
feed. Your market data is licensed to you by your provider, it
is not ours to move, and no server of ours takes it in today or in this
plan. Not your credentials, not your positions, not your account
numbers.
Your own brain keeps working regardless
A trader who never opts in loses nothing they have today. The local
model still trains on their labels, on their machine, and still improves
with every one they add. Contributing is how you help the shared model —
it is not the price of having your own.
Where the fleet analogy stops
The usual version of this collects by default and asks later. That is
the part we are not copying. A trading label is a record of how someone
thinks about risk, and that belongs to them until they say otherwise.
This is direction, not a feature you are buying
today. It is described here so nobody is surprised by it later, and so the
boundary is on the record before there is any code that could cross it.
07 · The bot library
Twenty strategies, ready to arm. Every one born disarmed.
The opening range is the house strategy, but it is not the only
one in the building. Pick a classic from the library — crossovers, mean
reversion, volatility breakouts, VWAP, channels, momentum — and each
arrives with a plain-English explanation, a suggested timeframe, an ATR-based
stop and target, and a cooldown.
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Illustrated, explained, and honest about itself
Each entry draws its own idea
— you can see what a squeeze breakout or an engulfing reversal
actually looks like before you pick it. The description says what the
strategy believes, in one sentence, without jargon.
Then, at the
bottom of the panel, the line that matters:
“Every new bot is born
DISARMED and on PAPER — tune it in the BOT MENU, then arm it. A
strategy being popular is not a promise it works.”
That sentence is
printed inside the product, where a customer sees it every time. It is the
same standard the rest of the platform is held to.
08 · Indicators & order flow
The standard library, plus what the tape is actually doing.
Thirty-two classical studies, each placeable on the price panel
or in its own pane with a single toggle. And underneath them, a second deck
that most retail platforms do not have at all: reaction-based order flow,
read from the published prints.
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Thirty-two classics. TOP puts it on price,
BOT gives it its own pane. No dialogs.
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Advanced order flow. “Print-based ones
read the published big prints — reaction, never prediction.”
Big-trade bubbles
Every print above your minimum, drawn as a circle at its traded price
— size and glow carry the contract count.
Absorption marks
Big prints hammering a bar's extreme that closes back away: rings
where aggression was absorbed.
Stacked imbalance
Three or more same-side big prints laddering with price —
stacked arrows of initiative conviction.
Iceberg watch
The same-size print refilling at one price again and again —
diamonds on suspected hidden liquidity.
Cumulative delta
Running sum of signed big-print contracts, from the feed floor up,
plus per-bar delta and a 0–100 buy/sell pressure line.
Volume profile
POC, value-area high and low, built live from real order flow and
drawn on the price axis of every chart.
A break with aggressive buyers stacked behind it prints
differently in the flow than one running on air. The difference between a
break and a fake is written in the tape — for anyone equipped to read
it.
09 · The trade journal
Five pages that grade the trader, not just the account.
Every fill lands in a journal that separates your accounts,
computes the statistics that actually predict survival, and then does the part
nobody else does: tells you what it found, in sentences.
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Overview. Paper accounts across 114 trades.
Note that this book is down — the journal is built to show you
that clearly, not to flatter you.
The ORBIT SCORE, and the distance
between two of them
One number, out of 100, built from six weighted components
— each shown with its weight so you can see exactly why the number is
what it is. The ranks climb from LIFTOFF to ESCAPE VELOCITY.
Below are two real score cards from the same trader's own books, days apart.
This is the point of the whole journal.
BEFORE · 40 / 100 · LIFTOFF
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Profit factor 0.91 — the book is
paying out more than it takes in. Recovery 0.00. Consistency
0/100. Drawdown −$2,379 against a win rate of 48%.
The win rate was never the problem.
WHAT CHANGED
AFTER · 87 / 100 · ESCAPE VELOCITY
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Profit factor 2.75. Average win/loss
3.01×. Drawdown cut to −$365. Recovery
5.84. Win rate: 48% — exactly the same.
Consistency still red at 29/100, and the card says so.
Both books won 48% of their
trades. One scored 40 and one scored 87. Everything that moved was the size
of the losses and the speed of the recovery — which is precisely what
a trader controls, and precisely what a win rate hides.
How the score is designed to be
improved
The weights are
published on the card because a score you cannot reverse-engineer is a score you
cannot act on. Read left to right, they tell you what to fix first — and
the cheapest fixes are almost never “win more often.”
Profit factor · 25%
Gross wins over gross losses. The heaviest single weight, and the one
that moves when you stop widening a stop. Above 1.0 the book pays; the card
shows the number and the raw ratio side by side so you cannot fool yourself
about which side of 1.0 you are on.
Average win / loss · 20%
How big a winner is against a loser. In the pair above this went from
1.35× to 3.01× and did more work than anything else. You raise it
by cutting losers at the level you decided on before you entered — not
by holding winners longer and hoping.
Max drawdown · 20%
The deepest hole from an equity peak. This is the component that
punishes the one oversized loss, and it is why the card's own caption warns
that “one oversized loss dents nearly all six at once.”
Position sizing and the daily-loss rail are the levers.
Win rate · 15%
Deliberately the fourth-heaviest, not the first. Chasing it is the
classic way to wreck the other five — you widen stops, you cut winners
early, the hit rate climbs and the account bleeds. The card is built so that
strategy scores worse.
Recovery factor · 10%
Net profit against the worst drawdown: how well the book digs itself
out. It answers the question a curve cannot — not “did it
recover” but “how much did it cost to.”
Consistency · 10%
Whether the results are spread across many days or carried by one. In
both cards above this is the red bar — and in the 87 book it is
red because a single day carried more than 100% of the profit. The
score keeps saying so at 87 exactly as loudly as it did at 40.
And
the discipline page carries the other half of the answer: rule adherence is
tracked separately from money, because a green day on a broken process is
not progress. The app's own guidance is to aim for 90% adherence across 30 to 50
days before chasing the score — get the process clean, and the score
follows it. Not the other way around.
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Thirteen observations, written out.
It says the uncomfortable part
“Right after two straight
losses, the next trade has averaged −$43.41 over 46 tries. A short
pause after the second loss is the cheapest protection in trading.”
“Days with
more than 8 trades have earned −$14.76 per trade, against +$44.48 on
lighter days. More shots has not meant more game — selectivity
is the strategy's own first rule.”
“The 10:00
ET hour has cost −$779.50 across 13 trades so far. Nothing says it
always will — but knowing your reddest hour is how a personal rule
gets made.”
Each
observation names its own sample size, because an observation drawn from
four trades is a rumour.
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Calendar & goals. Daily, weekly and
monthly targets you set, with weekly totals and event days flagged.
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Discipline. Tick your own rules, finish the
day, and the adherence score builds from clean days — separately from
whether the day was green.
“A profitable revenge trade is a process
FAILURE. A controlled stop-out on your setup is a process
SUCCESS. Mark the rules, not the money.”
— printed
under the Progress Tracker, in the app
Every figure on this page comes from
paper and broker test accounts — they show what the journal measures,
not what anyone earned.
10 · The architecture
Three systems. One engine. Nothing to keep in sync.
ORBIT is now three windows that each do one job properly —
the trading platform, the BOT LAB, and the HEATMAP —
and the thing that makes them worth having is that they are not three
applications. They are three views onto one engine, one market-data connection,
one set of books and one brain.
That sounds like an implementation detail. It is the whole product. Anyone who
has run a chart package beside a strategy tester beside a depth tool knows the
tax: three logins, three data subscriptions, three ideas of what your position
is, and a reconciliation problem every evening. Here there is nothing to
reconcile, because nothing was ever separate.
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ORBIT. Where you trade — charts, order
desk, risk rails, and a copilot that can see all of it.
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One set of books, visible from every window.
No window has a private idea of what you are carrying.
ORBIT — the platform
Where you trade. Up to eighteen live charts, each its own desk with its
own order ticket, its own risk rails and its own account. The opening range
drawn, the profile built from real prints, and a voice-native copilot that
can see your whole screen and mark it up while she explains it.
BOT LAB — the proving ground
Where strategies argue it out. Twenty-five variations running at once on
the same live feed, each on its own paper book, plus ORBIT LEARN keeping
shadow copies of every model in the library and scoring them on their own
closed trades.
HEATMAP — the microscope
Where you go to see what a move had to eat through. The recorded resting
book as heat, the prints that went off as bubbles, on its own monitor, with
no order path anywhere in it.
One connection, one brain, one journal
All three read the same feed and write to the same books, so the journal
totals the lot and ORBIT answers from any of them with the same numbers.
Switch windows and nothing reloads, nothing re-syncs, nothing disagrees.
Jump straight between them from the header of whichever one you are in.
And the part that gets better while you use it
Underneath all three sits the loop that
makes ORBIT different from a platform that ships the same on day 400 as it did on
day one. It learns how you trade, from you, on your machine. Here is
exactly how, because a claim like that is worthless without the mechanism.
1 · You teach, by marking
Four tools in the chart toolbar: BUY, SELL, the BAD
TRADE indicator, and a CHOP ZONE you drag as a region across the
bars it covers. You drop them where your judgment says they belong —
including on the trades you would not have taken, which is the half most
systems never capture.
2 · Each mark carries its setup
A label alone is nearly useless: the same setup means different things
on different settings. So every mark is stamped with the exact configuration
underneath it — the entry model, the ranges armed, the bot family and
edition, the strategies and modifier, the instrument, the timeframe, and that
copy's actual tuned numbers, read fresh from the engine at the moment
you send it.
3 · Only your labels enter the book
Your marks and the platform's own calls live in two separate stores, and
the guard that keeps them apart runs on both sides of the wire. A corpus
contaminated with the machine's own guesses teaches the machine to agree with
itself — the most expensive mistake in this entire field, and the one
it is structurally impossible to make here.
4 · It trains, on your hardware
Press TRAIN ON MY LABELS NOW and the Brain Engine studies the
corpus, on your GPU if you have one. It reads six skills off the market
around each label: momentum, where price sat in its range, whether volume was
running heavy, where price stood against the volume profile, where it stood
against the opening range, and the lean of the tape.
5 · It grades itself, honestly
Scored by cross-validation on labels it was not shown, against
the score for simply guessing the commoner side. That gap is the only number
that means anything, and it is the one the panel puts in front of you —
per skill, so you can see which parts of your read it has actually
picked up and which it has not.
6 · It does not trade. Yet.
The model measures, reports, and stops. It does not gate a signal, size
a position or touch the engine. Promoting it to a voice in live decisions is
a deliberate step, taken later, on purpose — not something that happens
to you one morning because a percentage got high enough.
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Six skills, scored separately
A single accuracy number hides
everything interesting. Splitting it six ways tells you something you can act
on: that it has learned to read momentum the way you do but has barely
started on where you stand against the opening range, say, and that the next
forty labels are best spent there.
Each skill is a
plain sentence about the market, not a black box — how price was
pushing into your label over the last 1, 5, 15 and 30 minutes; whether
trading was heavier or lighter than the last half hour. You can read the
list and know exactly what it is looking at.
And every one
moves as you teach. The corpus and the score in this shot are from a
development machine on 24 August 2026; the number that matters is not its
value, it is that it changes when you feed it.
Nothing here promises a result. What it promises is a
mechanism you can inspect — your labels, your machine, your hardware,
a score measured on data the model never saw, and a model that is not allowed
near your orders until you decide otherwise.
11 · The Bot Lab
Twenty-five strategies, running at once, each on its own book.
Every trader has the same argument with themselves: is this
setup actually working, or do I just remember the times it did? The BOT LAB
settles it by running the variations side by side, in the live market, on
separate paper accounts — so at the end of a session there is a table
instead of a feeling.
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One row, one experiment, one book. Same market,
same moment, different settings — which is the only way a comparison
between them means anything.
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Measured, never projected
ORBIT LEARN keeps a shadow copy
of every model in the library. Those copies watch the same live feed you do
and place no orders at all — they are scored on their own closed
paper trades, so a strategy earns its row by trading it, not by being
backfitted to a chart that already happened.
Each row carries
fires, wins and losses, win rate, average R, profit factor and how much
conviction the model had. The status column is blunt about which of them
have simply not traded enough yet to be judged.
“Self-training scoreboard
— shadow tests measure on the live feed and place no orders.
Measured, never projected.”
That line is
printed at the top of the panel inside the product, where it is read every
session.
Its own account, per row
Every cell is bound to a separate paper book with its own balance,
its own risk rails and its own trade log. Two cells cannot quietly share a
book and double-count a result — the totals walk unique account ids,
not rows.
Paper only, by construction
The lab is where ideas prove themselves before they ever touch a
live route. A signal from a paper window does not reach the order client at
all — not a dry run, not a demo endpoint. It is a property of the
engine, not a badge on a screen.
FIX & FILL
One press rebuilds the wall: it repoints duplicated cells onto missing
ones, fills the gaps, and rebinds each chart to the book it now answers to.
A wall that has drifted after a day of tinkering repairs itself.
ARM ALL · DISARM ALL
Arms every cell that actually has a strategy on it, and says how many
it left alone. The button face follows the wall, so it always states what
it will do next rather than leaving you to guess.
One total line, deduped
Realised, unrealised, total and today, for the whole wall, above the
wall. It counts each book once. A total that lies is worse than no total at
all.
Ask her about it
“How’s the bot lab doing?” from any window, and ORBIT
reads the same numbers off the same books — so she and the wall can
never disagree.
And then it grades the trader, not just the bots
LAB RESULTS opens the journal across
every book on the wall at once. Not a P&L readout — a report card, built
from six weighted components, where win rate is deliberately fourth,
because chasing it is the classic way to wreck the other five.
CLICK TO ENLARGE
Paper books. Every figure here is from
simulated accounts — what the journal measures, not what anyone
earned.
CLICK TO ENLARGE
Thirteen observations, in sentences. Each one
names the number it came from, so it can be checked rather than
believed.
The figures in these shots come from paper
accounts during development. They show what the journal measures on simulated
books over a short window — they are not a track record, they are not
live results, and they do not promise either. ORBIT is still being built; this
is where it had got to on 24 August 2026.
12 · The Heatmap
Where the resting orders were, and what actually traded through them.
A candle tells you where price ended up. It does not tell you
what was sitting in its way. The HEATMAP window records the resting book as
heat and paints the prints that went off as bubbles, so the
liquidity a move had to eat through stays on the screen after the move is
over.
CLICK TO ENLARGE
Its own window. Put it on the second monitor and
leave it there — it does not borrow a pane from the chart you are
trading.
Tuned by hand, because every instrument reads differently
Six controls, all live, none of
them buried in a dialog. HEAT and DIM shape how the liquidity
reads. SENSITIVITY, SIZE, GROUPING and OPACITY
shape the bubbles — which prints are worth drawing at all, how big
they are, how tightly they cluster in time, and how much of the heat behind
them shows through.
THERMAL swaps
the palette. PAUSE freezes the right edge so a burst can be studied while
the market keeps going without you.
Wheel over an
axis zooms that axis. Drag pans. Double-click goes back to following
the live edge. The axes are locked where they belong — price on the
right, time along the bottom — so the picture never wanders off while
you are reading it.
CLICK TO ENLARGE
Eyes only, by construction
There is no order path from this window at all. Not a hidden
button, not a keyboard shortcut — the code to place an order does not
exist here. A window built for staring at liquidity is a window you should
never be able to fat-finger a position from.
It records, it does not replay someone else's
The heat is built from the book as your own feed reported it, on your
own machine, while you were watching. Nothing is fetched from a server of
ours, because there isn't one in the path.
Big trades, marked on the chart too
The same prints that raise bubbles here surface on the trading chart as
the big-trades indicator — numbered circles on the bar that carried
them, so a print worth noticing is noticed without leaving the chart.
Its own flag
The window boots under the HEATMAP artwork rather than flashing the
ORBIT splash first, and carries its own light and dark marks. On a desk of
eight windows, knowing which one you just alt-tabbed into matters.
What the heatmap can show depends on the
market-data entitlements you hold with your own provider. The window in
these shots is drawing the book as this feed reported it during development,
without a deeper depth entitlement enabled — a fuller book yields a fuller
picture, and that is a subscription you arrange in your own name, not something
ORBIT supplies.
13 · The material
Liquid glass: an interface you can see through.
A trading screen has a problem no other software has. Everything
on it is urgent, and all of it is competing for the same square inch —
the tape underneath, the levels drawn on it, your position, your orders, the
panel you just opened. Stack it in opaque boxes and you spend the session
closing windows to see the chart you opened them to read.
So ORBIT's panels are made of glass. They float above the chart rather
than replacing it. The market keeps moving underneath them, blurred and
saturated so it reads as depth instead of noise. Nothing you need is ever fully
hidden by something you opened.
OPEN POSITION · NQ
+$672.50
Long 3 from 30246.75. Stop is under the retest low;
target sits at the value-area high.
STOP30246.75
TARGET30292.50
DAY ROOM$600
TURN THEM OFF — WATCH THE GLASS BECOME A BOX
Blur & saturation
What is behind the panel is smeared and its colour pushed, the way light
pools inside real glass. It reads as distance, which is why your eye
stops trying to focus on it and the panel becomes legible.
Refraction
A gradient tint running bright at the top-left corner and dark at the
bottom-right — the direction a real lens would gather light. It gives
a flat rectangle a shape.
The specular edge
A one-pixel bright line inside the top edge and a dark one inside the
bottom. Almost the entire illusion lives in those two hairlines: they are
what makes the surface look thick.
Depth
A long, soft shadow underneath. Not decoration — it is the cue
that tells you the panel is above the chart and the chart is still
there, which is the whole argument for the material.
Light that follows you
Surfaces catch a highlight where your cursor is, so the glass responds
to the hand. Move over the screenshots on this page — the frames are
doing it right now.
Colour with a job
Green is yours and working. Purple is the machine's. Red is a rail you
are near. Amber is the clock. No colour is used decoratively anywhere in
the app, so a colour appearing always means something.
Every panel moves
Drag it by its header, resize from the corner, and it remembers where
you left it — the Brain Engine, the journal, the bot menu, the
engine's day, the order ticket. Your screen is yours.
Live, not static
The brain graphic pulses along its own pathways. The score dial has a
rocket that climbs it. The starfield behind the loading screen drifts.
None of it blocks the tape.
Motion with manners
Animation throttles itself when the app is ingesting hundreds of
thousands of bars, and honours your system's reduced-motion setting. A
pretty interface that drops frames during the open is a broken one.
Easter eggs
There are a few. We are not going to tell you where. One of them
dances.
ORBIT is in private development.
Early access is limited to the first 500 applicants, with founder pricing
locked for as long as the subscription runs. One email — first access,
launch news, and a say in what gets built next.