Use Cases

How real traders use Dome Terminal.

A discretionary trader and a quant trader use it completely differently. So does a prop firm trader sitting on a daily limit. Here's what a real session looks like for each of them.

Discretionary Systematic / Quant Prop Firm Portfolio / Multi-Asset
Workflow 01

Discretionary Trader

You've got a chart and an opinion. The question is whether your opinion is backed by anything real — or whether you just want the trade to work.

// A realistic trading day

1

Before you form a view

Before you touch the chart, open Quant Brain and check what the structure actually looks like across timeframes. Check Market Intelligence for overnight news and any HIGH-impact events today. You're not looking for confirmation — you're looking for reasons your idea might be wrong before you're attached to it.

Market Intel Quant Brain ORACLE
2

Read the chart — honestly

Open Trade Desk and work through multiple timeframes. Mark your levels: resistance, support, AVWAP anchors, overnight highs and lows. Check the Orderflow delta to understand how price arrived at the current level — was it aggressive buying, or did it drift there on thin air? That difference matters before you pick a direction.

Trade Desk Orderflow
3

Challenge your own thesis

Now you have a view. Before you trade it, ask ORACLE to argue against it: "I see a potential breakout above 67,400 with rising delta. What does the Quant Brain state say against this? What am I likely missing?" ORACLE reads your live chart context, Quant Brain output, and journal history. You're not asking it to confirm — you're asking it to poke holes. That's the point.

ORACLE Quant Brain Journal Context
4

Take the trade — log it while it's happening

You enter. While the position is open, log your reason, your emotional state, and your risk sizing in the Trade Journal overlay. Not after the trade closes — now, while it's live. Memory distorts. After the outcome you'll already be rationalizing. Session Management shows your live PnL and remaining daily loss room in the same view.

Session Mgmt Journal
5

Review the week — find what keeps repeating

Pull the session summary from Trade Journal. Look at the mistake tags you applied across the week. If "FOMO" keeps showing up on Fridays, that's not random — that's a pattern you can work on. Compare your ORACLE consult transcript with what actually happened. Over time this calibrates your judgment. That's the feedback loop.

Journal Academy ORACLE Audit

Tools Used

Trade Desk Quant Brain ORACLE Orderflow Journal Market Intel Academy Session Mgmt

What you get from this

Pre-session prep time ~15 min
AI bias reinforcement Blocked
Risk tracked live Yes
Journal logging During trade
Behavioral feedback loop Session-by-session

Key Principle

Never ask ORACLE "should I buy?" Ask it "what's wrong with my thesis?" The difference is whether you use AI to get smarter or to feel better about a trade you've already decided to take.

Workflow 02

Systematic / Quant Trader

You want to know if your edge is real before you run it with money. That requires an honest research loop — not one good backtest on the data you were looking at.

HYP
Hypothesis
Idea + why it should work
Done
LAB
Python Lab Research
Find out if it's real
Done
SCR
Dome Script
Write the rules exactly
Done
BT
Backtest
Walk-forward, out-of-sample
Done
PAP
Paper Bot
Live behavior, no real money
Active
LIVE
Live
Small size, still watching
Pending

Research — does this hold up?

  • Python Lab: run the numbers, not just the story
  • Rolling Sharpe to see if performance is stable or lucky
  • Correlation and drawdown profiling across regimes
  • Quant Brain for regime context — does this work in all conditions?
  • ORACLE to challenge the hypothesis before you code it

Write the rules, test honestly

  • Dome Script turns your logic into exact, testable rules
  • Walk-forward validation — does it hold on data it hasn't seen?
  • Out-of-sample splits so you know you're not curve-fitting
  • Monte Carlo: how bad could the drawdown actually get?
  • PBO scoring: is this edge or luck at a specific sample size?

Deploy and watch it honestly

  • Paper bot first: see how it actually behaves vs. the backtest
  • Smart Alerts when bot state changes — don't miss it going sideways
  • Session Management: live PnL vs. what the backtest projected
  • Portfolio daily loss gate so one bad bot day doesn't wreck the account
  • Journal auto-log on all bot trades so you can review the real behavior
Workflow 03

Prop Firm Trader

You have rules you have to follow. One bad day — one news trade you didn't mean to take, one session where you chased losses — can cost you the account. The tools here are about discipline, not just edge.

Daily Loss as a Hard Gate

Your daily loss limit isn't a guideline — it's a wall. Set it before the session starts and let the terminal enforce it, not your willpower.

  • Soft warning at 70%: slow down, review what's happening
  • Hard alert at 90%: stop and think before the next entry
  • Automatic session lock if the limit is hit — not a pop-up you can dismiss
  • Daily reset with overnight summary so you know where you stand

Consistency via Your Journal

Many firms want consistency — not just profitable trades, but a process that holds up day after day. Your journal tracks whether you're actually consistent or just lucky this week.

  • Per-day PnL log with consistency score over rolling periods
  • Flag days where you made too much — some firms penalize outliers
  • Rolling average and variance so you can see drift before it compounds
  • Weekly report: is your process repeatable, or are you improvising?

Catch Violations Before They Happen

Rule violations are usually accidental. You didn't realize a news event was 10 minutes away. You forgot the market closes early today. The terminal flags these before you act, not after you've already submitted the report.

  • News trading detection: know a HIGH-impact event is close before you enter
  • Session window alerts: get warned if you're approaching a restricted period
  • Position size anomaly: flag anything that doesn't fit your evaluation stage
  • Weekend holding warning before close on Friday for instruments where it matters

Don't Trade During Chaos

Some sessions are higher risk — macro announcements, early open volatility, thin overnight sessions. You can filter them out or get warned before you trade into them.

  • Configurable session windows by market: only trade when you've decided it's OK
  • Pre-session checklist you actually complete before the first trade of the day
  • Calendar overlay: see what's restricted before you even open the chart
  • First-trade-of-day alert: a moment to confirm the rules before you're in
// Prop Firm Dashboard · Evaluation Stage 1 ● ACTIVE
Account Equity
$103,420
Target: $110,000 (+10%)
Daily P&L
+$640
Daily limit: $5,000
Current Drawdown
−$1,840
Max allowed: −$10,000
Rule Violations
0
Evaluation Stage 1
Profit target progress$3,420 / $10,000 (34%)
Max drawdown used$1,840 / $10,000 (18%)
Daily loss limit $640 of $5,000 used — SAFE
News trading restriction No HIGH-impact events in 90 min — CLEAR
Weekend holding All positions closed — COMPLIANT
Workflow 04

Portfolio / Multi-Asset Trader

You've got multiple positions and you want to know if you're actually diversified — or if you're just making the same bet five times with different ticker symbols.

01

See Your Actual Exposure

Before you add a new position, see what you're already holding. All open positions across crypto, forex, and futures in one view — so you know whether you're adding opportunity or stacking the same risk again.

  • Gross and net long/short exposure by asset class
  • Dollar-value exposure per instrument, not just lot size
  • Leverage-adjusted view: what you're actually risking, not what you think
  • Risk-weighted comparison so you can see which position is dominating the portfolio
02

The Correlation Check

BTC and ETH moving together doesn't give you two positions — it gives you one position with double the size. The correlation view shows which of your holdings are actually the same bet in disguise.

  • Rolling correlation matrix across your watchlist: updated as market conditions change
  • Correlation-adjusted exposure: what your portfolio actually looks like after you account for overlap
  • Regime-aware: correlations that spike in a crisis are different from normal-day correlations
  • Python Lab correlation notebook included to dig deeper
03

Portfolio-Level Loss Gate

A per-trade stop doesn't protect you when multiple positions are all moving against you at once. The portfolio daily loss gate is set at the account level — when the total crosses the threshold, bots pause and manual entries require confirmation.

  • Portfolio daily loss gate in Session Management: one number, covers everything
  • Aggregate unrealized PnL tracked across all open instruments in real time
  • Intraday alerts at 50%, 75%, and 90% of your limit so you're not surprised
  • End-of-day summary with R-multiple tracking across the full book
04

Monitor Everything at Once

Watch 20+ instruments simultaneously without opening 20 charts. Quant Brain state is computed for each symbol so you can scan the whole watchlist and jump to whatever has the strongest setup right now.

  • Compact watchlist with Quant Brain bias per symbol: one number that tells you where each market stands
  • Sort by volatility, trend strength, or volume anomaly to surface what's moving
  • One click opens any symbol directly in Trade Desk
  • Alerts on any watchlist symbol so you don't have to watch them all manually

Start with the workflow that fits where you are.

Whether you're reading charts by hand, building systematic rules, managing prop firm risk, or watching a multi-position book — Dome Terminal gives you the tools to work with discipline, not just intention.