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04

Live Trading / Terminal

A strategy becomes operational only when the live terminal can supervise it in real time. That means status visibility, broker context, health monitoring, and clear conditions for pausing or shutting the system down.

3
Modules
3
Lessons
Control before speed
Focus
Module 01 · Basics

What changes between backtest confidence and live supervision

The terminal exists because strategy quality is only one part of execution quality.

Routing
Broker behavior matters

Order acceptance, latency, session context, and account state all affect live behavior even when the strategy logic is unchanged.

Visibility
Operators need immediate context

A bot that technically runs but cannot be supervised clearly is operationally weak. The terminal should compress health, capital, and status into one view.

Discipline
Intervention rules should exist before the first live trade

You should already know what spread, slippage, drawdown, or engine behavior would justify a pause or shutdown.

Why this matters

Every idea in this path reduces to one question: what are the explicit rules, and what stops the trade if the thesis is wrong? Keep that lens as you read.

Module 02 · Core Concepts

A safer route from simulation into real supervision

The point is not to remove all uncertainty. The point is to make each increase in exposure deliberate.

Step 01
Start in paper or challenge mode

Use the same workflow and monitoring habits before live capital is on the line. This validates the operator process as much as the strategy.

Step 02
Check live assumptions against the terminal

Confirm session behavior, symbol availability, bot state, and capital controls in the exact environment the strategy will run in.

Step 03
Promote only one variable at a time

Do not change strategy logic, capital sizing, and broker environment all at once. You want attribution when something breaks.

Step 04
Operate with explicit kill conditions

Write down what performance drift, technical failure, or market condition will force a pause. Then respect it when the moment arrives.

Module 03 · Practical Understanding

Execution habits that keep the desk stable

The terminal should support these decisions, but the operator still owns them.

Before enabling live flow
  • Verify symbol mapping and account context.
  • Confirm the capital budget matches the strategy's tested assumptions.
  • Check that pause, stop, and escalation actions are understood.
While the bot is running
  • Watch status and health indicators, not just PnL.
  • Track whether the live trade pattern still resembles tested behavior.
  • Treat repeated warnings as operational data, not noise.
Reasons to intervene
  • Execution quality changes materially from expectations.
  • Capital usage breaches the intended budget or cluster risk.
  • The strategy behaves in a regime it was never designed to handle.
Try it — slippage & fills

A market order takes whatever price is available. The larger and more urgent the order relative to liquidity, the further your average fill drifts from the quote.

Quote
€100.00
Avg fill
Slippage
Execution risk reminder

Do not promote directly from a promising backtest into full-size live flow.

  • Do not ignore terminal health because short-term PnL looks fine.
  • Do not let one bot silently consume more attention than the desk can support.
Test your knowledge

Execution is the handoff from research into supervised reality. The discipline needs to stay intact.

Question 1

What is the safest first step before live deployment?

Question 2

Why change only one live variable at a time?

Question 3

Which trigger should justify intervention?