Tradetron Blog
Guides, strategy ideas and product updates from the Tradetron team.
Renko charts draw a brick only when price moves a set amount, so trends stand out. How bricks form, choosing brick size, and a Renko rule set you can backtest and automate.
An algorithm follows its rules every time. The person running it often doesn't. Here is how fear, greed, FOMO and cognitive biases still hurt algo traders, and the habits and rules that protect you.
How Bollinger Bands are calculated, what the squeeze means, three strategies that use them, and a band-walk strategy built step by step on Tradetron.
Copy trading lets you run an experienced trader's strategy in your own account. Here is what it does well, where beginners get hurt, and a checklist for judging a strategy before you copy it.
Total profit is the least useful number in a strategy report. Here are the metrics that actually tell you whether an algo trading strategy is worth running, with a worked example and a checklist.
An eight-step process for building an algo trading strategy that holds up: objective, edge, complete rules, risk, honest backtests, robustness checks and live testing.
A strategy that won't enter, or enters where you didn't expect, almost always shows why in the Notification Log. Here is how to read it and fix the three common cases.
A backtest runs your strategy's rules on past market data to show how they would have behaved. Here is every setting in Tradetron's backtest form, how to read the report, and what to check before you trust it.
Step-by-step: link a Tradetron strategy's API token, point a TradingView alert at the webhook, send key/value pairs, and let your strategy place the trades.
AmiBroker generates the signal, Tradetron executes it. How the API URL call works, the AFL code, the Get Runtime conditions, and how to test it safely.
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