2025-01-07 07:28
IndustryScript: Detecting Harmonic Patterns
This script detects the Gartley pattern using Fibonacci ratios and plots it on a chart.
---
Code Example: Gartley Pattern Detection
1. Import Libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import argrelextrema
2. Load Market Data
# Load historical data (CSV or API)
data = pd.read_csv("market_data.csv")
data['Date'] = pd.to_datetime(data['Date'])
data.set_index('Date', inplace=True)
3. Identify Key Points (Swing Highs and Lows)
# Detect local minima and maxima
data['min'] = data['Close'][argrelextrema(data['Close'].values, np.less_equal, order=5)[0]]
data['max'] = data['Close'][argrelextrema(data['Close'].values, np.greater_equal, order=5)[0]]
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Script: Detecting Harmonic Patterns
| 2025-01-07 07:28This script detects the Gartley pattern using Fibonacci ratios and plots it on a chart.
---
Code Example: Gartley Pattern Detection
1. Import Libraries
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.signal import argrelextrema
2. Load Market Data
# Load historical data (CSV or API)
data = pd.read_csv("market_data.csv")
data['Date'] = pd.to_datetime(data['Date'])
data.set_index('Date', inplace=True)
3. Identify Key Points (Swing Highs and Lows)
# Detect local minima and maxima
data['min'] = data['Close'][argrelextrema(data['Close'].values, np.less_equal, order=5)[0]]
data['max'] = data['Close'][argrelextrema(data['Close'].values, np.greater_equal, order=5)[0]]
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