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The DayDecoder blog
Practical guides on AI integration, custom software, MVP planning, and Laravel, written by Prakash Tank from real client work.
Ten support, sales, operations and document automations small and mid-size teams can count, with illustrative ROI worksheets rather than fabricated client results.
How to specify, structure, test and hand over a MetaTrader Expert Advisor in MQL5 without treating a backtest as a promise of profit.
How to connect MT4/MT5 Expert Advisors to Python or a web app without a second, accidental order path, including fail-closed behaviour when the bridge dies.
From Strategy Tester to a documented VPS: modelling modes, walk-forward honesty, demo, and operations that matter more than a pretty equity curve.
The four planes of an algorithmic trading system, why the venue is the source of truth for positions, and how duplicate orders are born.
A production sequence for Python against broker REST and WebSocket APIs: auth, idempotency, paper trading, and a kill switch a non-author can hit.
How to treat a backtest as a software test plus a research experiment, and how live risk limits belong in the order path rather than on a slide.
Where AI helps a transport operator first: PODs, exception mail, and drafts for dispatchers, without autonomous reroutes or invented ETAs.
When Kafka is the right log for Laravel and Node.js, how to publish facts through an outbox, and why a queue is still enough for many products.
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