Alpha
Market Rover
Tick-by-tick price action engine. Focuses on short-term volatility patterns and order flow visualization. Includes replay mode for strategy analysis.
Prototype v0.7
Rolionu Games Preview
Master the Markets with Precision Simulations
Experience institutional-grade trading mechanics built on a custom deterministic engine. Analyze, execute, and refine strategies in a zero-risk environment designed for serious enthusiasts.
Simulation Prototypes
Current builds showcasing core mechanics and interface layouts.
Beta
Equity Orbit
Long-term portfolio simulation with macro-economic event integration. Models sector rotation and correlation matrices across multiple asset classes.
Prototype v0.9
Concept
Neural Ledger
AI-assisted pattern recognition engine. Detects fractal formations and volume anomalies in real-time. Highly experimental mechanics.
Prototype v0.3
Engine Architecture
Under-the-hood specifications for Rolionu simulation technology.
Rolionu Games Field Guide
Trading simulations differ from standard video games in that they require strict adherence to financial logic rather than entertainment-based scoring. At Rolionu Games, we focus on "Market Realism"—a design philosophy where every price tick follows supply and demand rules derived from actual market microstructure theory.
Selection Criteria
- 1. Latency Handling: Choose simulations that render updates smoothly without frame drops, as this preserves visual data integrity.
- 2. Data Depth: Ensure the engine provides order book depth or volume data, not just price lines.
- 3. Configurability: The ability to adjust spread, volatility, and event frequency is crucial for stress testing strategies.
Common Myth vs. Fact
Myth: "Faster simulations prepare you for day trading better."
Fact: Speed is irrelevant if the underlying physics are flawed. A slow, accurate tick engine is superior to a fast, random one.
Key Terms
VWAP: Volume-Weighted Avg Price
Slippage: Difference between expected and actual fill
Tick: Smallest price increment
Drawdown: Peak-to-trough decline
Avoid These Mistakes
- ✖ Ignoring spread costs in your PnL calculations.
- ✖ Overfitting strategies to specific simulation seeds.
- ✖ Trading without defined stop-loss parameters.
Execution Workflow
Our design process begins with wireframing the data hierarchy. We prioritize the "Action Zone" (order entry) to be within the primary visual field, reducing reaction time.
Player Feedback Loop
Rolionu Games actively collects telemetry data (opt-in) regarding player win rates and strategy duration. This data is anonymized and used to balance volatility parameters in future builds.
Contact us for beta accessSimulation Lifecycle
From prototype selection to performance review.
1
Define Constraints
Select your volatility range, capital base, and session duration. This establishes the sandbox boundaries.
2
Select Engine
Choose Market Rover for ticks or Equity Orbit for macro swings. Match the engine to your goal.
3
Execute & Log
Run the session. The system logs every entry/exit point. Do not manually intervene with the data.
4
Review Analytics
Analyze the generated report. Look for "Revenge Trading" patterns and drawdown spikes.
Developer Notes
Transparency regarding our development roadmap and philosophy.
0%
Randomness
All outcomes are mathematically deterministic
<1ms
Tick Latency
Engine response time on reference hardware
100%
Data Privacy
Local processing, no cloud data extraction
"I've tested several 'market simulator' apps, and Rolionu's architecture is the first that actually respects the physics of spread. The tick engine in Market Rover feels remarkably close to DOM trading."
JD
Jordan D.
Beta Tester, London
NO Gambling Mechanics
UK Privacy Compliant
18+ Only
Rolionu Games Studio
South Bank 346, Manchester, United Kingdom
+44 7579178453 | info@rolionu.com
© 2026 Rolionu Games. All proprietary simulation engines are closed source.