test

.gitattributes

@@ -0,0 +1,2 @@
+# Auto detect text files and perform LF normalization
+* text=auto

.gitignore

@@ -0,0 +1,153 @@
+config.py
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# poetry
+#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
+#   This is especially recommended for binary packages to ensure reproducibility, and is more
+#   commonly ignored for libraries.
+#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
+#poetry.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# PyCharm
+#  JetBrains specific template is maintainted in a separate JetBrains.gitignore that can
+#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
+#  and can be added to the global gitignore or merged into this file.  For a more nuclear
+#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
+#.idea/

main.py

@@ -0,0 +1,108 @@
+import requests
+import config
+from datetime import date, timedelta
+
+
+# --------- GENERAL -----------
+# IFTTT Webhooks credentials, for now
+event_name = ""
+
+# Calculate the start and end dates in YYYY-MM-DD format for the 7-day period,
+# with end_date being yesterday and start_date being 7 days ago.
+today = date.today()
+end_date = today - timedelta(days=1)
+start_date = end_date - timedelta(days=6)
+
+# --------- 7 DAY AVERAGE -----------
+# Function to get the stock data from the last 7 days and return JSON response
+def get_previous_7_days(api, start_date, today):
+    tickers = ["TSLA", "AAPL", "MSFT", "GOOG", "NKE"]
+    response = {}
+    for ticker in tickers:
+        url = f"https://api.twelvedata.com/time_series?symbol={ticker}&interval=1day&start_date={start_date}&end_date={today}&apikey={api}"
+        response[ticker] = requests.get(url).json()
+    return response
+
+# Calculate the 7-day average price for each ticker
+data_7_days = get_previous_7_days(config.api_key1, start_date, today)
+
+for ticker, stock_data in data_7_days.items():
+    closing_prices = [float(day['close']) for day in stock_data['values']]
+    average = sum(closing_prices) / len(closing_prices)
+    print(f"{ticker} Average Closing Price: {average:.2f}")
+
+
+# --------- REAL-TIME PRICE -----------
+# Function to retrieve real-time price
+def get_realtime_price(api):
+    tickers = ["TSLA", "AAPL", "MSFT", "GOOG", "NKE"]
+    response = {}
+    for ticker in tickers:
+        url = f"https://api.twelvedata.com/price?symbol={ticker}&apikey={api}"
+        response[ticker] = requests.get(url).json()
+    return response
+
+# Store real-time price data
+data_realtime = get_realtime_price(config.api_key2)
+
+
+# --------- MARKET OPEN PRICE -----------
+# Function to get the market open, to compare real-time price to
+def get_market_open(api, today):
+    tickers = ["TSLA", "AAPL", "MSFT", "GOOG", "NKE"]
+    response = {}
+    for ticker in tickers:
+        url = f"https://api.twelvedata.com/time_series?symbol={ticker}&interval=1day&outputsize=1&apikey={api}"
+        response[ticker] = requests.get(url).json()
+    return response
+
+# Store market open price data
+data_marketopen = get_market_open(config.api_key3, today)
+
+# print for visualisation purposes:
+for ticker, stock_data in data_marketopen.items():
+    open_prices = [float(day['open']) for day in stock_data['values']]
+    print(f"{ticker} Market Open: {open_prices}")
+
+# --------- TRIGGER WEBHOOK IF CONDITION IS MET -----------
+# Function to trigger IFTTT event
+def trigger(event_name):
+    url = f'https://maker.ifttt.com/trigger/{event_name}/with/key/{config.ifttt_key}'
+    response = requests.post(url)
+    if response.status_code == 200:
+        print(f"Triggered the IFTTT applet for {event_name} successfully.")
+    else:
+        print(f"Failed to trigger the IFTTT applet for {event_name}.")
+
+# Map of tickers to event names
+ticker_to_event = {
+    "TSLA": "TSLA_Price_Drop",
+    "AAPL": "AAPL_Price_Drop",
+    "MSFT": "MSFT_Price_Drop",
+    "GOOG": "GOOG_Price_Drop",
+    "NKE": "NKE_Price_Drop"
+}
+
+# Converting £0.25 to USD with current exchange rate 
+# and assigning it a variable to calculate the variance between real time and market open
+def currency_conversion(api):
+    response = {}
+    url = f"https://api.twelvedata.com/currency_conversion?symbol=GBP/USD&amount=0.25&apikey={api}"
+    response = requests.get(url).json()
+    return response
+
+pence_to_cents = currency_conversion(config.api_key1)
+pence_to_cents = pence_to_cents['amount']
+print(f"Current USD value of £0.25: {pence_to_cents:.2f}")
+
+# Check conditions and trigger the corresponding event
+for ticker, stock_data in data_realtime.items():
+    current_price = float(stock_data['price'])
+    event_name = ticker_to_event.get(ticker)
+    market_open_price = float(data_marketopen[ticker]['values'][0]['open'])
+    print(f"{ticker} Current Price: {current_price:.2f}")
+
+    if current_price <= market_open_price - pence_to_cents:
+        trigger(event_name)
+    elif current_price < average:
+        trigger(event_name)