Autochartist Features 2026: Complete Breakdown
As of March 2026
Autochartist
Feature Overview
| Feature | Status |
|---|---|
| Continuous pattern scanning | ✓ |
| Fibonacci pattern detection | ✓ |
| Key level identification | ✓ |
| Volatility analysis with stop-loss/take-profit optimization | ✓ |
| Quality ratings on patterns | ✓ |
| Free through partner brokers | ✓ |
| Market reports published 3x daily (Tokyo, London, New York) | ✓ |
| Statistical analysis of pattern success rates (70-80% claimed) | ✓ |
| Multi-asset: forex, CFDs, commodities, indices | ✓ |
Features in Detail
Continuous pattern scanning
Fibonacci pattern detection
Key level identification
Volatility analysis with stop-loss/take-profit optimization
Quality ratings on patterns
Free through partner brokers
Market reports published 3x daily (Tokyo, London, New York)
Statistical analysis of pattern success rates (70-80% claimed)
Multi-asset: forex, CFDs, commodities, indices
Key Strengths
- ★Free via partnered brokers
- ★Reliable pattern recognition
- ★Long track record
- ★Quality ratings help filter signals
Limitations
- ✗Broker-dependent access
- ✗Older UI
- ✗Limited standalone value
- ✗Not AI/ML — rule-based
Autochartist vs Competitors
| Feature | A Autochartist | C ChartSnipe | R RoboticEA | T TrendSpider |
|---|---|---|---|---|
| Continuous pattern scanning | ✓ | ✗ | ✗ | ✗ |
| Fibonacci pattern detection | ✓ | ✗ | ✗ | ✗ |
| Key level identification | ✓ | ✗ | ✗ | ✗ |
| Volatility analysis with stop-loss/take-profit optimization | ✓ | ✗ | ✗ | ✗ |
| Quality ratings on patterns | ✓ | ✗ | ✗ | ✗ |
| Free through partner brokers | ✓ | ✗ | ✗ | ✗ |
| Market reports published 3x daily (Tokyo, London, New York) | ✓ | ✗ | ✗ | ✗ |
| Statistical analysis of pattern success rates (70-80% claimed) | ✓ | ✗ | ✗ | ✗ |
| Starting Price | Free (via broker) | Free | Free | $59/mo |
FAQ
Is Autochartist free?›
Autochartist is free through partnered brokers. Standalone access may require a separate subscription.
Does Autochartist use AI?›
Autochartist uses rule-based pattern recognition rather than AI/ML. It's reliable but not adaptive like newer tools.