Quant Atlas Institutional-Grade Market Forecasting Platform
Quant Atlas is a:
- quantitative market forecasting platform,
- alternative alpha capture dataset provider,
- view provider for brokers and trading platforms.
Focused on a combination of quantitative, technical, and sentiment analyses, Quant Atlas delivers a second opinion for market professionals.
Free trials are available.
An evidence-based objective approach for Technical Analysis using Python. A must have for any scientific-background traders interested in Technical Analysis.
Kaabar (2026). Extremum Constrained Anchor Path Regressor for Multi-Step Time Series Forecasting
Kaabar (2026). A Local Path Regressor for Time Series Forecasting and Data Analysis
Kaabar (2026). Sequential Pattern Averaging Regressor: A Lookup-Based Method for Structural Price Prediction
Kaabar (2026). Extrema Precision 2.0: A Framework for Evaluating Reversal Signal Localization
Kaabar (2026). A Comparative Analysis of Linear Regression and DLinear for Time Series Forecasting
Kaabar (2026). Eliminating Subjectivity in Moving Average Crossovers via Symmetric Weighted Filters
Kaabar (2026). Standard RSI vs. Bollinger-Filtered RSI: A Comparative Market Timing Analysis
Kaabar (2025). Magic Numbers or Market Noise? Deconstructing the TD Setup in Time Series Predictions
Kaabar (2025). Quantifying Market Timing Accuracy with the Extrema Precision Index (EPI)
Kaabar (2025). Quantifying Exhaustion: A Regime-Dependent Analysis of TD Sequential and RSI Filters
Kaabar (2025). Phase-Preserving Denoising in Financial Time Series: Singular Spectrum Analysis and Linear Moving Averages
- Website: https://www.quant-atlas.com
- Contact: contact@quant-atlas.com