tulipindicators

 

tulipindicators

 

 

https://github.com/TulipCharts/tulipindicators

GitHub - TulipCharts/tulipindicators: Technical Analysis Indicator Function Library in C

https://github.com/cirla/tulipy

GitHub - cirla/tulipy: [NOT ACTIVELY MAINTAINED] Tulipy - Financial Technical Analysis Indicator Library (Python bindings for Tu

pip install tulipy

 

python3 -m build

 

pip install tulipy-0.4.0-cp310-cp310-win_amd64.whl

 

 

 

 

 

Python - Draw MACD using Tulip Indicators & Matplotlib | OpenWritings.net

Python - Draw MACD using Tulip Indicators & Matplotlib | OpenWritings.net

 

 

#!/usr/bin/python3

 

import pandas as pd

import tulipy as ti

 

import matplotlib

matplotlib.use('Agg') # Bypass the need to install Tkinter GUI framework

import matplotlib.pyplot as plt

 

# Avoid FutureWarning: Pandas will require you to explicitly register matplotlib converters.

from pandas.plotting import register_matplotlib_converters

register_matplotlib_converters()

 

 

loaded_data = pd.read_csv('data.csv')#, sep=',')

 

# Plot the main graph.

##########################

x = loaded_data['Time']

y = loaded_data['Close']

 

 

# Plot MACD.

##########################

short_period  = 12

long_period   = 26

signal_period = 9

 

# Calculate MACD.

macd_input=loaded_data['Close'].values   # Convert pandas dataframe to NumPy array.

(macd, macd_signal, macd_histogram) = ti.macd(macd_input, short_period=short_period,

                                                            long_period=long_period,

                                                            signal_period=signal_period)

#df = pd.DataFrame(macd)

#df.to_csv('file1a1.csv', index=False, header=False)

#df = pd.DataFrame(macd_signal)

#df.to_csv('file1a2.csv', index=False, header=False)

#df = pd.DataFrame(macd_histogram)

#df.to_csv('file1a3.csv', index=False, header=False)

macd_x = loaded_data['Time'].values

macd_x = macd_x[4:]   # Skip 1st 4 due to long_period=5.

 

import numpy as np

 

x = np.arange(0, 2835, 1)

y = 1 + np.sin(x)

plt.plot(x, macd)

plt.plot(x, macd_signal)

plt.plot(x, macd_histogram)

plt.xlabel('x value', fontsize=15)

plt.ylabel('y value', fontsize=15)

plt.title('sin graph', fontsize=18)

plt.grid()

plt.show()

 

# Customize graph

##########################

# Set graph labels & legend

title='Draw MACD({}, {}, {}) on right axis \nusing Tulip Indicator & Matplotlib'.format(

                                                short_period, long_period, signal_period)

plt.title(title)

#plt.gcf().autofmt_xTime()   # Beautify the x-labels

plt.autoscale(tight=True)

 

# Save graph to file.

plt.savefig('macd-right-axis-tulip-matplotlib.png')