AI ile Teknik Analiz: Otomatik Grafik Kalıp Tanıma

Chart pattern recognition is subjective and error-prone when done manually.

Computer Vision for Charts

Convolutional neural networks trained on hundreds of thousands of labeled chart patterns can identify formations that human eyes miss, while eliminating confirmation bias in pattern identification.

Pattern Reliability Scoring

Not all head-and-shoulders patterns are equal.

Multi-Timeframe Analysis

Patterns on daily charts mean more when aligned with weekly and monthly trends.