3D Candlestick Chart Visualization in Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Blender Python Text Editor:
import pandas as pd
from fyers_apiv3 import fyersModel
from datetime import datetime,timedelta
import mplfinance as mpf
import warnings
import bpy
warnings.simplefilter('ignore')
client_id=open('fyersv3/app_id.txt','r').read()
token=open('fyersv3/access_token.txt','r').read().strip()
fyers=fyersModel.FyersModel(client_id=client_id,token=token,log_path='C:/Users/VIKASH/Desktop/fyers/tutorial')
days=1
symbol='NSE:NIFTYBANK-INDEX'
interval='1'
now=datetime.now()
from_date=now-timedelta(days=days)
from_date=datetime.strftime(from_date,'%Y-%m-%d')
to_date=datetime.strftime(now,'%Y-%m-%d')
data={'symbol':symbol,
'resolution':interval,
'date_format':'1',
'range_from':from_date,
'range_to':to_date,
'cont_flag':'1'
}
df=pd.DataFrame(fyers.history(data=data)['candles'],columns=['date','open','high','low','close','volume'])
df['date']=pd.to_datetime(df['date'],unit='s')
df['date']=df['date'].dt.tz_localize('UTC').dt.tz_convert('Asia/Kolkata')
df['date']=df['date'].dt.tz_localize(None)
df=df.set_index(df['date'])
mpf.plot(df,type='candle',style='yahoo',mav=5,volume=True,title='CandleStick Chart',show_nontrading=False,savefig='C:\\Users\\your_directory\\Desktop\\blender\\render\\candle.svg')
bpy.ops.import_image.to_plane(files=[{'name':'C:\\Users\\your_directory\\Desktop\\blender\\render\\candle.svg'}])
obj=bpy.context.selected_objects[0]
obj.location=(0,0,0)
obj.scale=(5,5,5)
Import CSV Data Renko in Blender:
Follow the Instructions from the Above Video then go for the Code Input:
Copy the data and keep in a CSV File as renko_csv.csv so you can utilize to import them in blender through Python:
movements,1,1,1,-1,-1,1
prices,51790.0,51820.0,51850.0,51820.0,51790.0,51820.0
sizes,30.0,30.0,30.0,30.0,30.0,30.0
Code in Blender Python Text Editor:
import pandas as pd
import bpy
data=pd.read_csv('C:/Users/.../Desktop/blender/renko_csv.csv',header=None)
movements=data.T[0][1:].to_list()
prices=data.T[1][1:].to_list()
sizes=data.T[2][1:].to_list()
def create_renko_bar(value,last_position,frame_start,price,size):
if value==1:
new_position=[last_position[0]+1,last_position[1]+1,0]
elif value==-1:
new_position=[last_position[0]+1,last_position[1]-1,0]
bpy.ops.mesh.primitive_plane_add(size=1,enter_editmode=False,location=new_position)
box_obj=bpy.context.object
material=bpy.data.materials.new(name='RenkoMaterial')
if value==1:
material.diffuse_color=(0.0,1.0,0.0,1)
elif value==-1:
material.diffuse_color=(1.0,0.0,0.0,1)
box_obj.data.materials.append(material)
build_modifier_box=box_obj.modifiers.new(name='BuildBox',type='BUILD')
build_modifier_box.frame_start=frame_start
build_modifier_box.frame_duration=10
text_loc=[new_position[0],new_position[1]+1.5,0]
bpy.ops.object.text_add(enter_editmode=False,align='WORLD',location=text_loc)
text_obj=bpy.context.object
text_obj.data.body=f'P:{price}\nS:{size}'
text_obj.scale=(0.2,0.2,0.2)
text_obj.data.align_x='CENTER'
text_material=bpy.data.materials.new(name='TextMaterial')
text_material.diffuse_color=material.diffuse_color
text_obj.data.materials.append(text_material)
build_modifier_text=text_obj.modifiers.new(name='BuildText',type='BUILD')
build_modifier_text.frame_start=frame_start
build_modifier_text.frame_duration=10
return new_position,frame_start+10
def create_renko_chart(movements,prices,sizes):
position=[-3.5,-2.5,0]
frame=1
for i,movement in enumerate(movements):
price=prices[i]
size=sizes[i]
position,frame=create_renko_bar(movement,position,frame,price,size)
create_renko_chart(movements,prices,sizes)
Automated and Customized Renko Data Visualization in Blender Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Blender Python Text Editor:
import bpy
def create_renko_bar(value,last_position,frame_start,price,size):
if value==1:
new_position=[last_position[0]+1,last_position[1]+1,0]
elif value==-1:
new_position=[last_position[0]+1,last_position[1]-1,0]
bpy.ops.mesh.primitive_plane_add(size=1,enter_editmode=False,location=new_position)
box_obj=bpy.context.object
material=bpy.data.materials.new(name='RenkoMaterial')
if value==1:
material.diffuse_color=(0.0,1.0,0.0,1)
elif value==-1:
material.diffuse_color=(1.0,0.0,0.0,1)
box_obj.data.materials.append(material)
build_modifier_box=box_obj.modifiers.new(name='BuildBox',type='BUILD')
build_modifier_box.frame_start=frame_start
build_modifier_box.frame_duration=10
text_loc=[new_position[0],new_position[1]+1.5,0]
bpy.ops.object.text_add(enter_editmode=False,align='WORLD',location=text_loc)
text_obj=bpy.context.object
text_obj.data.body=f'P:{price}\nS:{size}'
text_obj.scale=(0.2,0.2,0.2)
text_obj.data.align_x='CENTER'
text_material=bpy.data.materials.new(name='TextMaterial')
text_material.diffuse_color=material.diffuse_color
text_obj.data.materials.append(text_material)
build_modifier_text=text_obj.modifiers.new(name='BuildText',type='BUILD')
build_modifier_text.frame_start=frame_start
build_modifier_text.frame_duration=10
return new_position,frame_start+10
def create_renko_chart(movements,prices,sizes):
position=[-3.5,-3.5,0]
frame=1
for i,movement in enumerate(movements):
price=prices[i]
size=sizes[i]
position,frame=create_renko_bar(movement,position,frame,price,size)
movements=[1,1,1,-1,-1]
prices=[51790.0,51820.0,51850.0,51820.0,51790.0]
sizes=[30.0,30.0,30.0,30.0,30.0]
create_renko_chart(movements,prices,sizes)
Renko Data Visualization Bar Graph Animation in Blender Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Blender Python Text Editor:
import bpy
def create_renko_bar(value,last_position,frame_start):
if value==1:
new_position=[last_position[0]+1,last_position[1]+1,0]
elif value==-1:
new_position=[last_position[0]+1,last_position[1]-1,0]
bpy.ops.mesh.primitive_plane_add(size=1,enter_editmode=False,location=new_position)
material=bpy.data.materials.new(name='RenkoMaterial')
if value==1:
material.diffuse_color=(0.0,1.0,0.0,1)
elif value==-1:
material.diffuse_color=(1.0,0.0,0.0,1)
bpy.context.active_object.data.materials.append(material)
build_modifier=bpy.context.active_object.modifiers.new(name='Build',type='BUILD')
build_modifier.frame_start=frame_start
build_modifier.frame_duration=10
return new_position,frame_start+10
def create_renko_chart(movements):
position=[0.5,0.5,0]
frame=1
for movement in movements:
position,frame=create_renko_bar(movement,position,frame)
movements=[1,1,-1,-1,1,1,-1]
create_renko_chart(movements)
Hello, World! in Blender Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Blender Python Text Editor:
import bpy
txt = bpy.data.curves.new("HelloWorld", "FONT")
txt.body = "Hello, World!"
obj = bpy.data.objects.new("HelloWorld", txt)
bpy.context.scene.collection.objects.link(obj)
Render Candlestick Chart Visualize Using Fyers API V3 in Blender Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Blender Python Text Editor:
import pandas as pd
from fyers_apiv3 import fyersModel
from datetime import datetime,timedelta
import mplfinance as mpf
import warnings
import bpy
warnings.simplefilter('ignore')
client_id=open('fyersv3/app_id.txt','r').read()
token=open('fyersv3/access_token.txt','r').read().strip()
fyers=fyersModel.FyersModel(client_id=client_id,token=token,log_path='C:/Users/VIKASH/Desktop/fyers/tutorial')
days=1
symbol='NSE:NIFTYBANK-INDEX'
interval='1'
now=datetime.now()
from_date=now-timedelta(days=days)
from_date=datetime.strftime(from_date,'%Y-%m-%d')
to_date=datetime.strftime(now,'%Y-%m-%d')
data={'symbol':symbol,
'resolution':interval,
'date_format':'1',
'range_from':from_date,
'range_to':to_date,
'cont_flag':'1'
}
df=pd.DataFrame(fyers.history(data=data)['candles'],columns=['date','open','high','low','close','volume'])
df['date']=pd.to_datetime(df['date'],unit='s')
df['date']=df['date'].dt.tz_localize('UTC').dt.tz_convert('Asia/Kolkata')
df['date']=df['date'].dt.tz_localize(None)
df=df.set_index(df['date'])
mpf.plot(df,type='candle',style='yahoo',mav=5,volume=True,title='CandleStick Chart',show_nontrading=False,savefig='C:\\Users\\your_directory\\Desktop\\blender\\render\\candle.png')
bpy.ops.import_image.to_plane(files=[{'name':'C:\\Users\\your_directory\\Desktop\\blender\\render\\candle.png'}])
obj=bpy.context.selected_objects[0]
obj.location=(0,0,0)
obj.scale=(5,5,5)
Import Stock Price Chart Images and Visualize in Blender Python:
Follow the Instructions from the Above Video then go for the Code Input:
Code in Python:
import pandas as pd
from fyers_api import fyersModel
from datetime import datetime,timedelta
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
client_id=open('app_id.txt','r').read()
token=open('access_token.txt','r').read().strip()
fyers=fyersModel.FyersModel(client_id=client_id,token=token,log_path='C:/Users/Current_Directory')
days=1
symbol='NSE:NIFTYBANK-INDEX'
interval='1'
now=datetime.now()
from_date=now-timedelta(days=days)
from_date=datetime.strftime(from_date,'%Y-%m-%d')
to_date=datetime.strftime(now,'%Y-%m-%d')
def historical_data(symbol,interval,from_date,to_date):
data={'symbol':symbol,
'resolution':interval,
'date_format':'1',
'range_from':from_date,
'range_to':to_date,
'cont_flag':'1'
}
response=pd.DataFrame(fyers.history(data=data)['candles'],columns=['date','open','high','low','close','volume'])
return response
hist=historical_data(symbol,interval,from_date,to_date)
plt.plot(hist['close'])
plt.tight_layout()
plt.savefig('price.png')
plt.show()
Code in Blender Python Text Editor:
import bpy
bpy.ops.object.delete(use_global=False)
bpy.ops.mesh.primitive_plane_add(size=2, enter_editmode=False, location=(0, 0, 0))
bpy.ops.object.transform_apply(location=False, rotation=False, scale=True)
bpy.ops.import_image.to_plane(files=[{"name":"price.png", "name":"price.png"}], directory="C:\\Users\\your_directory\\Desktop\\blender\\", relative=False)
Easy Installation of Python Packages in Blender:
Follow the Instructions from the Video then go for the Command
Find Path of Python Blender:
import sys
print(sys.executable)
Run CMD as Adminstrator the Set your Path as such
C:\Program Files\Blender Foundation\Blender\2.80\python> and Type this Command.
Pip Installation=> .\bin\python.exe -m ensurepip
Upgrade pip=> .\bin\python.exe -m pip install --upgrade pip
Packages Installation=>.\Scripts\pip3.exe install matplotlib
CNC(Computer Numerical Control)
Materials Required:
1)CNC Shield
2)Arduino UNO R3
3)DRV8825 Driver
4)Fishing Line
