simul8or
Overview
simul8or is a web-based day trading simulator designed for traders who want to practice and refine their trading strategies in a simulated real-time market. It provides an anonymous and gamified approach to trading simulations.
Features
- Realistic Market Simulation – Trades are executed using real-time market data, simulated down to the 1-second tick for the most accurate experience.
- Multiple Chart Timeframes – Analyze market movements with 1-minute, 5-minute, 30-minute, and 1-hour chart intervals.
- Technical Indicators – Includes 9 & 20 EMA, SMA, VWAP, Bollinger Bands, RSI and MACD, essential for day traders.
- Intuitive Charting Tools – Easily draw trendlines, support/resistance levels.
- Interactive Charts – Smooth zoom and pan functionality for better market analysis.
- Fast-Forward Simulations – Skip ahead through price action to accelerate learning.
- Extensive Historical Data – Trade any U.S. stock with 5 years of historical market data available.
- Challenge Mode – Test your pattern recognition skills with a unique mode where the ticker and date remain hidden, with results feeding into the leaderboard.
- Gamification & Immersive Experience – Sound effects, animations, and dynamic visuals enhance engagement.
- Pattern Recognition Engine – Automatically detects and displays chart patterns in real time.
- Diverse Order Types – Execute market and limit orders just like in live trading.
- ‘Full Tilt’ Mode – Maximize risk-taking with an option to automatically buy or sell the max share size per account balance.
- Achievements & Badges – Unlock 8 milestone badges based on trading performance.
- Live Trade Feed – View a real-time feed of all trades happening on the platform.
- Detailed Trading Analytics – Track performance with key metrics including net P&L, win rate, biggest winner, average trade P&L, and more.
- Export Trade Logs – Download your trading history for deeper analysis or record-keeping.
- Competitive Leaderboards – See rankings for:
- Biggest Winners & Losers
- Top Bears & Bulls
- Most Accurate Traders
- Active Traders
- Customizable User Settings – Personalize your experience with hotkey configurations, avatars, and custom usernames.
Community and Support
simul8or is continuously evolving based on user feedback. Traders, educators, and developers can contribute by:
- Suggesting new features
- Reporting issues or inaccuracies
- Engaging in community discussions
For more information, visit simul8or.com or check out the GitHub project at github.com/day-trading-simulator.
Practical checklist
- Define the time horizon for simul8or and the market context.
- Identify the data inputs you trust, such as price, volume, or schedule dates.
- Write a clear entry and exit rule before committing capital.
- Size the position so a single error does not damage the account.
- Document the result to improve repeatability.
Common pitfalls
- Treating simul8or as a standalone signal instead of context.
- Ignoring liquidity, spreads, and execution friction.
- Using a rule on a different timeframe than it was designed for.
- Overfitting a small sample of past examples.
- Assuming the same behavior in abnormal volatility.
Data and measurement
Good analysis starts with consistent data. For simul8or, confirm the data source, the time zone, and the sampling frequency. If the concept depends on settlement or schedule dates, align the calendar with the exchange rules. If it depends on price action, consider using adjusted data to handle corporate actions.
Risk management notes
Risk control is essential when applying simul8or. Define the maximum loss per trade, the total exposure across related positions, and the conditions that invalidate the idea. A plan for fast exits is useful when markets move sharply.
Variations and related terms
Many traders use simul8or alongside broader concepts such as trend analysis, volatility regimes, and liquidity conditions. Similar tools may exist with different names or slightly different definitions, so clear documentation prevents confusion.
Practical checklist
- Define the time horizon for simul8or and the market context.
- Identify the data inputs you trust, such as price, volume, or schedule dates.
- Write a clear entry and exit rule before committing capital.
- Size the position so a single error does not damage the account.
- Document the result to improve repeatability.