Blog
Practical guides, strategy thinking, and honest takes on automated trading — written for traders who already know what they're doing.
Why your backtest looks perfect but your live account doesn't
A strategy with 85% win rate on historical data and 40% in live trading is not a strategy problem — it is an overfitting problem. This article explains what overfitting is, how to spot it, and how to build strategies that actually hold up outside the data they were tested on.
How to configure risk limits for a prop firm account
Prop firms have strict rules — typically 5% daily loss and 10% total drawdown. This guide explains how to configure user-defined risk settings in Charton to help monitor those requirements.
The real cost of running TradingView, a broker, and an automation tool separately
Most automated traders pay for three separate tools, manage three logins, and manually sync data between them. This article breaks down the actual cost — in money, time, and friction — and explains why a single environment changes the workflow entirely.