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The five problems a Live Offline run catches that a backtest misses, how many trades you really need before judging a strategy, and a checklist for going live without surprises.
In a market that never closes, when you get in and out matters as much as what you buy. How to write clear crypto entry and exit rules, with examples, the exit types you need, and how to test them.
A strategy that worked for months starts to lose. Is it tired, or just in a normal bad patch? Here is what causes strategy fatigue, how to tell the difference, and how to fix or retire a fading algo.
Compare Indian crypto exchanges on compliance, security, total cost, liquidity, products and API access, with a seven-point checklist and the tax basics.
Order books, spot vs futures and perpetuals, how leverage and liquidation really work, what moves crypto prices and how gains are taxed in India.
A step-by-step guide to building an automated trading strategy without writing code, with a worked NIFTY example: the rules, the stop loss, the position size, the backtest and the test run.
Algo trading automates your mistakes as faithfully as your edge. Here are the risks every algo trader faces, a layered set of controls for each, and how to set them up on Tradetron.
Optimization is where most algo traders accidentally ruin a good strategy. Here is how to improve return on capital for real: what to optimize, in what order, and how to tell an improvement from a curve fit.
Drawdown is the fall from your account's peak to its lowest point. These seven techniques keep it small enough to recover from, with the arithmetic behind each one and how to set them up on Tradetron.
Low latency is about how fast your orders travel; HFT is a strategy built on extreme speed. What each means, and what matters for retail traders.
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Turn an idea into a strategy, backtest it, and run it Live Offline before a rupee is at risk. No code.
