changes:

.env

@@ -0,0 +1,3 @@
+PYTHONPATH=.
+HOST=https://dax-backend.arthought.com
+# financebackend:8000

.vscode/launch.json

@@ -0,0 +1,20 @@
+{
+    // Use IntelliSense to learn about possible attributes.
+    // Hover to view descriptions of existing attributes.
+    // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387
+    "version": "0.2.0",
+    "configurations": [
+        {
+            "name": "Python: Current File",
+            "type": "python",
+            "request": "launch",
+            "module": "streamlit",
+            "args": [
+                "run",
+                "app.py"
+            ],
+            "console": "integratedTerminal",
+            "justMyCode": true
+        }
+    ]
+}

README.md

@@ -11,3 +11,5 @@ license: apache-2.0
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+
+The code is derived from https://github.com/hfwittmann/financial-timeseries-dashboard/tree/kedro-based

app.py

@@ -1,4 +1,65 @@
+from datetime import date
+import json
+import plotly
+from re import sub
+from plotly import graph_objects as go
+
 import streamlit as st
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+st.set_page_config(layout="wide")
+
+from subs.access_backend import get_tickerlist
+from subs.access_backend import get_plot
+
+tickerTable = get_tickerlist().set_index("Ticker")
+
+PrimeStandardSector = "Prime Standard Sector"
+sectors = tickerTable[PrimeStandardSector].unique()
+sectors.sort()
+sector = st.selectbox(
+    label="Select a Sector. Remark: This sets the default for the selected stocks",
+    options=sectors,
+)
+
+default_index = tickerTable[PrimeStandardSector] == sector
+
+default = tickerTable[default_index]
+
+selections = st.multiselect(
+    label="Dax Constituents",
+    options=list(tickerTable.index),
+    format_func=lambda x: tickerTable.at[x, "Company"],
+    default=list(default.index),
+)
+
+for selection in selections:
+
+    try:
+
+        fig_scatter = get_plot(selection, "scatter")
+        fig_returns = get_plot(selection, "returns")
+        fig_histogram = get_plot(selection, "histogram")
+
+        st.header(tickerTable.at[selection, "Company"])
+        c1, _, c2, _, c3 = st.columns((10, 1, 10, 1, 10))
+
+        c1.plotly_chart(fig_scatter, use_container_width=True)
+        c2.plotly_chart(fig_returns, use_container_width=True)
+        c3.plotly_chart(fig_histogram, use_container_width=True)
+
+    except Exception as e:
+        st.header(tickerTable.at[selection, "Company"])
+        st.markdown(
+            f"Data for {tickerTable.at[selection, 'Company']} not available",
+            unsafe_allow_html=False,
+        )
+        # print(selection)
+        # print(e)
+
+if __name__ == "__main__":
+    print(tickerTable)
+    print(tickerTable.index[:3])
+
+    print(sectors)
+    print(tickerTable["Prime Standard Sector"] == sector)
+    print(default)

requirements.txt

@@ -0,0 +1,5 @@
+pandas=="^1.5.3"
+lxml=="^4.9.2"
+pandas-datareader=="^0.10.0"
+environs=="^9.5.0"
+plotly=="^5.13.1"

subs/access_backend.py

@@ -0,0 +1,43 @@
+# from subs.orderdict import orderByValue
+import requests
+import json
+import streamlit as st
+import pandas as pd
+
+from environs import Env
+
+env = Env()
+env.read_env()
+
+# @st.cache
+def get_tickerlist():
+
+    response = requests.get(f"{env('HOST')}/Tickerlist_provider?datatype=tickerlist")
+
+    response_json = response.json()
+
+    companyTicker = pd.read_json(response_json["myData"])
+
+    return companyTicker
+
+
+# @st.cache
+def get_plot(selection: str, plottype: str):
+
+    assert plottype in ["scatter", "returns", "histogram"]
+
+    response = requests.get(
+        f"{env('HOST')}/Stockticker_provider?plottype={plottype}&selection={selection}"
+    )
+
+    blub = response.json()
+
+    fig = json.loads(blub["plot"])
+
+    return fig
+
+
+if __name__ == "__main__":
+    print(get_tickerlist())
+
+    print(get_plot("ADS.DE", "scatter"))

toml/config.prod.toml

@@ -0,0 +1,125 @@
+# Below are all the sections and options you can have in ~/.streamlit/config.toml.
+
+[global]
+
+# By default, Streamlit checks if the Python watchdog module is available and, if not, prints a warning asking for you to install it. The watchdog module is not required, but highly recommended. It improves Streamlit's ability to detect changes to files in your filesystem.
+# If you'd like to turn off this warning, set this to True.
+# Default: false
+disableWatchdogWarning = false
+
+# Configure the ability to share apps to the cloud.
+# Should be set to one of these values: - "off" : turn off sharing. - "s3" : share to S3, based on the settings under the [s3] section of this config file.
+# Default: "off"
+sharingMode = "off"
+
+# If True, will show a warning when you run a Streamlit-enabled script via "python my_script.py".
+# Default: true
+showWarningOnDirectExecution = true
+
+# Level of logging: 'error', 'warning', 'info', or 'debug'.
+# Default: 'info'
+logLevel = "debug"
+
+
+[client]
+
+# Whether to enable st.cache.
+# Default: true
+caching = true
+
+# If false, makes your Streamlit script not draw to a Streamlit app.
+# Default: true
+displayEnabled = true
+
+
+[runner]
+
+# Allows you to type a variable or string by itself in a single line of Python code to write it to the app.
+# Default: true
+magicEnabled = true
+
+# Install a Python tracer to allow you to stop or pause your script at any point and introspect it. As a side-effect, this slows down your script's execution.
+# Default: false
+installTracer = false
+
+# Sets the MPLBACKEND environment variable to Agg inside Streamlit to prevent Python crashing.
+# Default: true
+fixMatplotlib = true
+
+
+[server]
+
+# List of folders that should not be watched for changes. Relative paths will be taken as relative to the current working directory.
+# Example: ['/home/user1/env', 'relative/path/to/folder']
+# Default: []
+folderWatchBlacklist = ['']
+
+
+# If false, will attempt to open a browser window on start.
+# Default: false unless (1) we are on a Linux box where DISPLAY is unset, or (2) server.liveSave is set.
+headless = true
+
+# Immediately share the app in such a way that enables live monitoring, and post-run analysis.
+# Default: false
+liveSave = false
+
+# Automatically rerun script when the file is modified on disk.
+# Default: false
+runOnSave = false
+
+# The port where the server will listen for client and browser connections.
+# Default: 8501
+port = 8501
+
+# Enables support for Cross-Origin Request Sharing, for added security.
+# Default: true
+enableCORS = false
+
+
+[browser]
+
+# Internet address of the server server that the browser should connect to. Can be IP address or DNS name.
+# Default: 'env("HOST")'
+serverAddress = "0.0.0.0"
+
+# Whether to send usage statistics to Streamlit.
+# Default: true
+gatherUsageStats = true
+
+# Port that the browser should use to connect to the server when in liveSave mode.
+# Default: whatever value is set in server.port.
+serverPort = 8501
+
+[s3]
+
+# Name of the AWS S3 bucket to save apps.
+# Default: (unset)
+#bucket =
+
+# URL root for external view of Streamlit apps.
+# Default: (unset)
+#url =
+
+# Access key to write to the S3 bucket.
+# Leave unset if you want to use an AWS profile.
+# Default: (unset)
+#accessKeyId =
+
+# Secret access key to write to the S3 bucket.
+# Leave unset if you want to use an AWS profile.
+# Default: (unset)
+#secretAccessKey =
+
+# The "subdirectory" within the S3 bucket where to save apps.
+# S3 calls paths "keys" which is why the keyPrefix is like a subdirectory. Use "" to mean the root directory.
+# Default: ""
+keyPrefix = ""
+
+# AWS region where the bucket is located, e.g. "us-west-2".
+# Default: (unset)
+#region =
+
+# AWS credentials profile to use.
+# Leave unset to use your default profile.
+# Default: (unset)
+#profile =

toml/credentials.prod.toml

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+[general]
+
+email=""