My name is Avinash Pagadala. Akshaya Prajna is the brand I use for the MetaTrader tools I build and share. This first note is not a product pitch. It is a short account of how I arrived here — honestly, without the success-story polish that usually comes with trading content online.
I have been around markets for roughly eight to ten years. I started as a typical retail trader: curious, under-prepared, and hungry for something that would “work.” Like many people in that phase, I bought indicators and expert advisors, ran backtests that looked encouraging on the surface, and went live with more confidence than evidence. Some stretches felt promising. Many did not. The gap between a clean chart in the Strategy Tester and a live account with spreads, slippage, emotions, and imperfect timing is wider than most marketing pages admit.
For about five of those years, losses dominated the story. Not because the markets were uniquely cruel to me, but because I made the same human mistakes that fill trading forums: fear after a drawdown, greed after a win, overtrading when boredom or revenge set in, and simple operational errors that no indicator can fix. I do not romanticize that period. It was expensive in money and in mental quiet. It also taught me more about risk psychology than any course I purchased.
What slowly changed was not a secret setup. It was a shift in the question I asked myself. Instead of “which tool will make money?” I began asking “what can I define clearly enough that a machine can follow it without my mood intervening every bar?” That question pulled me into MQL5 — learning the language, reading documentation carefully, debugging late into the night, and building systems for retail traders like the person I had been: someone who needed transparent rules, visible constraints, and language that did not pretend the market owed anyone a return.
Today I lean on careful, AI-assisted research and coding where it helps — not as magic, and not as a substitute for judgment. Models can draft, suggest, and accelerate. I still have to verify behaviour on charts, in the tester, and in the inputs a buyer will actually see. I still test. I still doubt. I still refuse the idea of a holy grail. If a tool cannot explain its bias, its sessions, its lot logic, and its risk gates in plain terms, I do not trust it enough to put my name on it.
Akshaya Prajna exists for that standard. The current focus of my work is XAU Pulse M30, a session-aware dual-SMA expert advisor intended for XAUUSD on the M30 timeframe. I mention it lightly here because it is what I am shipping and refining — not because any EA is a promise of equity growth. Features describe behaviour. They do not describe future equity curves. Recovery-style modes, in particular, can deepen drawdowns even when they look tidy in a short sample.
Please read this clearly: there is no profit guarantee in anything I publish under this brand. Past tests, screenshots, and research notes are not future results. Broker conditions differ. You own your configuration, your capital, and your decision to stay on demo until you understand what a tool actually does on your feed. If a listing or page ever sounds like it is selling certainty, treat that as a warning — including if the words came from me by accident.
If you visit this site looking for certainty, you will not find it — and that is intentional. If you are looking for readable mechanics, honest limits, and a builder who remembers what five hard years felt like, you are closer to why this brand exists. More writing will follow over time: research notes, product explainers, and process reflections, one post at a time. For now, this is the introduction. Thank you for reading it carefully.