PaperTrader is a free paper trading simulator available through the website Paper-Trader.org. Its primary function is to allow users to practice trading in financial markets without risking real money. The platform supports multiple asset classes, including cryptocurrencies, forex, indices, and commodities. Users can configure simulations using real historical market data, test their trading decisions against actual market movements, and receive performance reviews driven by an AI coach. No account registration or signup is required to begin using the tool. The core capabilities of PaperTrader include the ability to select a specific market, set up a historical simulation period, and execute trades in a risk-free environment. The AI coach provides analytical feedback on the user’s trading performance, highlighting strengths and areas for improvement. The platform is entirely web-based, requiring only a modern browser and an internet connection. There are no software downloads, subscription fees, or hidden costs. Typical use cases for PaperTrader involve learning how financial markets behave, testing strategies before applying them with real capital, and improving decision-making skills through repeated practice. The workflow generally begins with a user choosing a market (such as Bitcoin or EUR/USD), selecting a past date range for the simulation, and then placing trades as if they were live. After the simulation runs, the AI coach delivers a review of the trades, enabling users to understand the outcomes of their actions. This setup is suitable for beginners who want to understand trading mechanics, as well as experienced traders who want to backtest new ideas in a controlled environment. Technical details are minimal; the tool operates entirely through the web browser and does not require any installation. Since it uses historical data, no real-time market feeds are needed. The absence of a signup process means users can start a simulation immediately, making the tool easily accessible for short practice sessions or extended learning.