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Algorithmic Trading
Rule-based execution: how automated strategies are built, validated and deployed, and what automation does and does not change.
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Every subject we write about, in one place
A topic hub collects everything published on one theme and opens with a plain definition of the term. Content joins a topic automatically by subject, so a hub reflects what has actually been written rather than a list someone has to maintain.
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The subjects drawing the most attention from traders and engineers right now.
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Backtesting & Validation
Testing a strategy against history: how engines work, why results flatter, and what validation can and cannot establish.
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Risk Automation
Position sizing, exposure limits, order gates and kill switches, how risk is enforced by systems rather than intention.
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SEBI Algo Framework
What the algorithmic trading framework requires of brokers and of the vendors they empanel, with every obligation traced to its circular.
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Trading System Architecture
The engineering beneath automated trading: data pipelines, order management, reconciliation, risk gates and monitoring.
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Broker API Automation
How automated orders actually reach the market: authorisation, idempotency, reconciliation and the permissions never to grant.
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Order Audit Trails
What has to be recorded per order, for how long, and what an exchange inspection actually asks a broker to reconstruct.
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Static IP & API Access
How authorised broker API access works under the framework, and why the weekly limit on changing an address is an architectural constraint.
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Describe a strategy in plain language, backtest it against historical data, and paper trade it before any capital is committed.