Elliott Wave Github

git clone https://github.com/yourusername/elliott-wave-analyzer.git
cd elliott-wave-analyzer
pip install -r requirements.txt
python examples/detect_impulse.py --symbol BTCUSDT --interval 1h --lookback 500

Example output:

Wave Count (Detected):
Wave 1: 2025-02-10 08:00 | 48200 → 49500 (2.7%)
Wave 2: 2025-02-11 14:00 | 49500 → 48750 (-1.5%)
Wave 3: 2025-02-13 22:00 | 48750 → 52300 (7.3%)
Wave 4: 2025-02-15 06:00 | 52300 → 51500 (-1.5%)
Wave 5: 2025-02-17 18:00 | 51500 → 53800 (4.5%)
✅ Valid impulse wave found. Fibonacci: Wave 3 = 1.618 x Wave 1

Traditional charting platforms (TradingView, MetaTrader, Thinkorswim) offer manual drawing tools, but they lack native auto-detection for complex corrective patterns. GitHub bridges this gap by hosting libraries that:

If you clone these repositories and run them on live data, you will quickly encounter the Fractal Problem.

What works on a 1-hour chart fails on a 5-minute chart. Elliott waves are self-similar. A "Wave 1" on a daily chart is actually a full 5-wave sequence on an hourly chart. Most GitHub algorithms struggle to differentiate between the "degree" (granularity) of a wave.

The Repainting Issue: Many visual tools on GitHub repaint. Yesterday, the code identified a perfect Wave 4 bottom. Today, price broke lower, so the code deletes that Wave 4 and labels it as part of a larger Wave 3 extension. This makes automated trading dangerous without strict money management.

git clone https://github.com/yourusername/elliott-wave-analyzer.git
cd elliott-wave-analyzer
pip install -r requirements.txt
python examples/detect_impulse.py --symbol BTCUSDT --interval 1h --lookback 500

Example output:

Wave Count (Detected):
Wave 1: 2025-02-10 08:00 | 48200 → 49500 (2.7%)
Wave 2: 2025-02-11 14:00 | 49500 → 48750 (-1.5%)
Wave 3: 2025-02-13 22:00 | 48750 → 52300 (7.3%)
Wave 4: 2025-02-15 06:00 | 52300 → 51500 (-1.5%)
Wave 5: 2025-02-17 18:00 | 51500 → 53800 (4.5%)
✅ Valid impulse wave found. Fibonacci: Wave 3 = 1.618 x Wave 1

Traditional charting platforms (TradingView, MetaTrader, Thinkorswim) offer manual drawing tools, but they lack native auto-detection for complex corrective patterns. GitHub bridges this gap by hosting libraries that:

If you clone these repositories and run them on live data, you will quickly encounter the Fractal Problem.

What works on a 1-hour chart fails on a 5-minute chart. Elliott waves are self-similar. A "Wave 1" on a daily chart is actually a full 5-wave sequence on an hourly chart. Most GitHub algorithms struggle to differentiate between the "degree" (granularity) of a wave.

The Repainting Issue: Many visual tools on GitHub repaint. Yesterday, the code identified a perfect Wave 4 bottom. Today, price broke lower, so the code deletes that Wave 4 and labels it as part of a larger Wave 3 extension. This makes automated trading dangerous without strict money management.