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7 articles
AI Trading: A Complete Guide
A grounded, jargon-free explanation of where AI genuinely helps in a trading workflow: data normalisation, pattern context, regime classification and risk-aware decision support — and where its limits are absolute.
Exeisy Intelligence Desk · 19 August 2026 · 9 min read
Position Sizing: The Only Variable You Fully Control
Most traders spend their attention on entries. Position sizing determines survival. This is a practical walkthrough of fixed-fractional sizing, how stop distance changes size, and why a fixed lot size is a hidden risk.
7 min read
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Market Structure, Liquidity and the Three Trading Sessions
Liquidity is not constant through the day. Understanding the Asian, London and New York sessions — and the overlaps between them — explains much of what traders mistake for random behaviour.
6 min read
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What Is Drawdown, and Why It Decides Everything
Drawdown measures the decline from an equity peak. Understanding its mathematics — and the difference between absolute, relative and maximum drawdown — changes how a strategy should be sized and judged.
5 min read
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Inside Exeisy: A Layered Architecture for Intelligent Trading
How the Exeisy engine separates market analysis from risk enforcement and execution, and why that separation is the most important design decision in the platform.
6 min read
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Trading APIs and What Actually Happens to Your Order
A technical but readable walkthrough of order routing, API types, latency sources and why execution infrastructure deserves as much attention as strategy design.
8 min read
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Backtesting Without Fooling Yourself
A backtest is an experiment, and most experiments in strategy development are contaminated. This covers look-ahead bias, survivorship, cost modelling, overfitting and the discipline of out-of-sample testing.
8 min read
ReadRisk disclosure: Trading financial markets involves substantial risk and may result in the loss of capital. Exeisy does not guarantee profits or eliminate trading risk. AI-generated analysis, signals or decisions are not guarantees of future market outcomes. Users are responsible for understanding the risks involved and configuring trading systems responsibly.