Live Cycles Analysis & Signals for NinjaTrader 8
QuantCycles Predictive Analysis and Signals will help guide you
Cycle Projection Turning Points
Our analysis depends on cyclical patterns within historical data, which vary depending on the timeframe being analyzed. That’s why we utilize advanced Fourier Cycle Analysis, Hurst Cycles and W.D. Gann theories in our calculations. Market accuracy percentages vary, which leads us to make projections within certain probability ranges. When extreme points fall within these ranges, they suggest a probable price reversal and are marked as potential signals. Cyclic projections validate these extremes and indicate a Target Opportunity Zone displayed on the chart.
QuantCycles Live Alerts works on all devices
We are offering a FREE pilot program to
anyone interested in trying out our brand new Alerts.
Harness the power of Artificial Intelligence (AI)
Artificial Intelligence (AI) backed analysis
QuantCycles utilizes our proprietary Artificial Intelligence (AI) backed system to actively analyze live market cycles comprehensively, identifying and extracting predominant patterns from data streams.
Machine Learning (ML) ensures the future
Machine Learning (ML), a subset of Artificial Intelligence (AI), revolves around crafting algorithms and statistical models, empowering computer systems to enhance their task performance.
The QuantCycles tool is perfect for day traders
The ability to anticipate a trend change gives traders an amazing advantage.
Signal & Cycle Features
- Adaptive Entry Signal Generation
- Forecast Cycle Direction / Duration
- Forecast Cycle Amplitude / Strength
- Forecast Expected Cycle Target Range from Entry Signal Point
- Forecast Expected Cycle Time Duration from Entry Signal Point
Pursuing perfection every day
Our team is dedicated to continuously measuring and maintaining Cycle Accuracy Statistics in both direction and duration. These statistics are not simply numbers; they are utilized through a Feedback Loop to dynamically adjust the Target Opportunity Zone. We employ Machine Learning (ML) to continually analyze our predictions for consistency
and accuracy.