diff --git a/README.md b/README.md index 442dd79..0a48751 100644 --- a/README.md +++ b/README.md @@ -9,9 +9,11 @@ Current Features: - Calculating Dividends - Calculate the daily IRR (incl. Dividends) - Pushing updates to Notion +- Dividends ARE calculated correctly...YEEEA! + Current Limitation: -- Dividends may not be calculated correctly...the total seems low... +- none Feature Pipeline: - Information/KPIs on the whole portfolio diff --git a/history_per_trade.json b/history_per_trade.json index c00ce1c..340b212 100644 --- a/history_per_trade.json +++ b/history_per_trade.json @@ -1,6 +1,447 @@ { - "2023-05-22": { - "11e10a5f-51bd-8064-a76e-e835a5abb876": { + "2020-06-30": { + "1c010a5f-51bd-8100-8ff0-dd50ff7998b6": { + "current_amount": 0, + "current_invested": 0.0, + "total_dividends": 0.0, + "current_value": 0.0, + "current_irr": 0.0, + "current_course": 179.68150329589844, + "total_performanance": 0.0 + }, + "1c010a5f-51bd-8102-82fc-ca92d51cfa66": { + "current_amount": 0, + "current_invested": 0.0, + "total_dividends": 0.0, + "current_value": 0.0, + "current_irr": 0.0, + "current_course": 8.371052742004395, + "total_performanance": 0.0 + }, + 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test_data = '''{ trmnl_object = '''{"merge_variables": {"key": "payload"}}''' + ### -------------------- EXAMPLE STRUCTURES -------------------- # NOTION FORMATED DATA STRUCTURE ''' trades[notion_page_id] = { @@ -76,6 +77,7 @@ Date Close Dividends '''var data = [{"name":"Current","data":[["2024-12-31",3982.23],......,["2024-12-01",946.02]]},{"name":"Comparison","data":[["2024-12-30",590.56],......,["2024-12-01",425.28]]}];''' + ### -------------------- FUNCTIONS -------------------- # ------------------# # LEVEL 1 FUNCTIONS # @@ -84,11 +86,18 @@ Date Close Dividends def calculate_irr(date_now, date_open, value_now, value_open): error = False irr = 0.0 + try: - # Prepare IRR calculation + # Count the number in days a = date_now - date_open a = a.days - a = a / 365 # Umrechnung von Tagesrendite auf Jahresrendite + + # Am Tag des Kaufs selbst, liegt das Delta in Tagen bei 0 + # Um dennoch einen IRR kalkulieren zu können, wird das Delta auf 1 gsetzt + if a == 0: + a = 1 + + a = a / 365 # Umrechnung auf Jahresanteil, um auch den Jahreszinssatz zu bekommen b = value_now / value_open # Catch negative IRRs @@ -218,6 +227,7 @@ def push_trmnl_update_chart(wklydict_numbers, dict_chart, trmnl_page_id): ''' + # ------------------# # LEVEL 2 FUNCTIONS # # ------------------# @@ -253,13 +263,7 @@ def fetch_format_notion_data(db_id_trades): # Each page is loaded as a dictionary notion_page = dict(i) - # Handling missing entry - try: - date_open = notion_page["properties"]["Open"]["date"] - date_open = date_open["start"] - date_open = datetime.date(*map(int, date_open.split('-'))) - except: - date_open = 0 + # Handling desired missing entries try: date_close = notion_page["properties"]["Close"]["date"] date_close = date_close["start"] @@ -267,21 +271,35 @@ def fetch_format_notion_data(db_id_trades): except: date_close = 0 - # Save values - notion_page_id = notion_page["id"] # Use as key for the dictionary - trade = {} - trade = { - 'ticker' : notion_page["properties"]["Ticker"]["select"]["name"], - 'date_open' : date_open, - 'date_close' : date_close, - 'course_open' : notion_page["properties"]["Open (€)"]["number"], - 'course_close' : notion_page["properties"]["Close (€)"]["number"], - 'course_current' : notion_page["properties"]["Current (€)"]["number"], - 'irr' : notion_page["properties"]["IRR (%)"]["number"], - 'units' : notion_page["properties"]["Units"]["number"], - 'dividends' : notion_page["properties"]["Dividends (€)"]["number"] - } - trades[notion_page_id] = trade + # Handeling non-desired missing entries (by skipping this trade) + try: + # Try extracting values + trade = {} + + # Format date-open + date_open = notion_page["properties"]["Open"]["date"] + date_open = date_open["start"] + date_open = datetime.date(*map(int, date_open.split('-'))) + + # Combine data into json structure + trade = { + 'ticker' : notion_page["properties"]["Ticker"]["select"]["name"], + 'date_open' : date_open, + 'date_close' : date_close, + 'course_open' : notion_page["properties"]["Open (€)"]["number"], + 'course_close' : notion_page["properties"]["Close (€)"]["number"], + 'course_current' : notion_page["properties"]["Current (€)"]["number"], + 'irr' : notion_page["properties"]["IRR (%)"]["number"], + 'units' : notion_page["properties"]["Units"]["number"], + 'dividends' : notion_page["properties"]["Dividends (€)"]["number"] + } + + # Save values + notion_page_id = notion_page["id"] # Use as key for the dictionary + trades[notion_page_id] = trade + + except: + print("[ERROR] Skipped an entry in the notion trades-db - Missing values?") # Return data if successful if error == True: @@ -323,7 +341,7 @@ def fetch_format_yf_data(tickers): new_index = [] x = 0 while x < data_rows: - date = pd.Timestamp.date(old_index[x]) # Converts the "Pandas Timestamp"-object to a "date" object + date = pd.Timestamp.date(old_index[x]) # Converts the "Pandas Timestamp"-object to a "date" object new_index.append(date) x+=1 @@ -332,7 +350,7 @@ def fetch_format_yf_data(tickers): data.set_index('Date', inplace=True) # Save the data-frame to the yf_data dict - yf_data[i] = data + yf_data[ticker] = data # Wait for the API to cool down time.sleep(t_sleep_api) @@ -341,19 +359,28 @@ def fetch_format_yf_data(tickers): error = True print("[ERROR] Fetching data from yahoo-finance for ticker: {}".format(ticker)) + # Create file for easier development + data.to_csv('yf_data_{}.csv'.format(ticker), index=False) + with open("yf_data.txt", "w") as f: + f.write(str(yf_data)) + # Return data if successful if error == True: return error else: return yf_data - + # UPDATE NOTION-TRADES-DATABASE def push_notion_trades_update(trades): error = False for notion_page_id in trades: try: + # The irr is stored in the format 1.2534 + # Notion need the format 0,2534 + irr_notion = trades[notion_page_id]['irr'] - 1 + irr_notion = round(irr_notion, 4) + # Construct Notion-Update-Object - irr_notion = round(trades[notion_page_id]['irr']/100, 4) # Covert to decimal-number for notion notion_update = { "Current (€)": { "number": trades[notion_page_id]['course_current'] @@ -380,24 +407,29 @@ def push_notion_trades_update(trades): # CALC CURRENT VALUES PER TRADE def calc_current_value_per_trade(trades, history_per_trade): + # Loop over all trades for trade_id in trades: + # Determine, what values to fetch based on whether the trade was closed already date_closed = trades[trade_id]["date_close"] if date_closed == 0: + # If trade still open, use performance data from today index_date_iso = datetime.date.today().isoformat() + else: # If trade closed, use performance data from close-date index_date_iso = date_closed.isoformat() + # Fetch data from history and save for this trade trades[trade_id]["course_current"] = history_per_trade[index_date_iso][trade_id]['current_course'] trades[trade_id]["irr"] = history_per_trade[index_date_iso][trade_id]['current_irr'] trades[trade_id]["dividends"] = history_per_trade[index_date_iso][trade_id]['total_dividends'] + print ("[SUCCESS] Calculating current value per trade") return trades - # ------------------# # LEVEL 3 FUNCTIONS # # ------------------# @@ -509,8 +541,9 @@ def calc_history_per_trade(trades, yf_data): # Fetch course for the day & eventual dividends from yf_data try: - current_course = yf_data[trade_id].at[index_date, 'Close'] - current_dividends_per_ticker = yf_data[trade_id].at[index_date, 'Dividends'] + current_course = yf_data[ticker].at[index_date, 'Close'] + current_dividends_per_ticker = yf_data[ticker].at[index_date, 'Dividends'] + # Catch missing yf-data (eg. for weekends) by reusing course from previous day except: current_course = previous_course @@ -522,18 +555,27 @@ def calc_history_per_trade(trades, yf_data): if date_close == index_date: current_course = trades[trade_id]['course_close'] + # Save the result for the next iteration + # This setup also makes it possible, that a previous course is passed down across mutiple days + # This makes sense is case i.e. for a weekend + previous_course = current_course + # ------------------ CALCULATE PERFORMANCE IF REQUIRED - if date_open >= index_date and date_close <= index_date: + if index_date >= date_open and index_date <= date_close: # Calculate performance values current_amount = trades[trade_id]['units'] current_invested = current_amount * trades[trade_id]['course_open'] total_dividends = total_dividends + current_amount * current_dividends_per_ticker current_value = current_amount * current_course - current_irr = calculate_irr(index_date, date_open, current_value, current_invested) - total_performanance = current_value - current_invested + current_value_with_dividends = current_value + total_dividends + current_irr = calculate_irr(index_date, date_open, current_value_with_dividends, current_invested) + total_performanance = current_value_with_dividends - current_invested + + if current_value_with_dividends == 0: + print("0-value Error with ticker: {}").format(ticker) + else: # Write 0, if trade is not relevant for current timeframe - current_course = 0.0 current_amount = 0 current_invested = 0.00 total_dividends = 0.00 @@ -569,24 +611,28 @@ def calc_history_per_trade(trades, yf_data): index_date = index_date + datetime.timedelta(days=1) # ------------------ LOGGING - print("[SUCCESS] Calculating history for trade: {} with ticker: {}".format(trade_id, ticker)) - - # ------------------ LOGGING - if warning_count > 0: - print("[WARNING] Calculating history per trade:") - print("[WARNING] No yf-data available in {} cases of ticker & date".format(warning_count)) - print("[WARNING] Probably reason is non-trading-days eg. weekends") - print("[WARNING] Used values from previous trade-day instead") + if warning_count > 0: + print("[WARNING] Calculating history for trade: {} with ticker: {}".format(trade_id, ticker)) + print(" No yf-data available in {} cases of ticker & date".format(warning_count)) + print(" Probably reason is non-trading-days eg. weekends") + print(" Used values from previous trade-day instead") + else: + print("[SUCCESS] Calculating history for trade: {} with ticker: {}".format(trade_id, ticker)) + + # Reset warning count for the next trade + warning_count = 0 data = json.dumps(history_per_trade, indent=2) # Converts a python-dictionary into a json - # Create file for easier development + # Logging + print("[SUCCESS] Calculating history for trades") with open("history_per_trade.json", "w") as f: f.write(data) return history_per_trade + ### -------------------- MAIN PROGRAMM -------------------- while True: # Clear variables @@ -596,12 +642,14 @@ while True: tickers = [] error = False - # Execute Functions + # Fetch Data from the "trades" db in notion + # Contains input fields (i.e. date_open) as well as output fields (i.e. irr, close current) trades = fetch_format_notion_data(notion_db_id_trades) if trades == True: error = True if error == False: + # Generates a list with unique tickers and no duplicates to reduce workload for the yfinance api tickers = filter_list_of_tickers(trades) if tickers == True: error = True @@ -612,17 +660,27 @@ while True: error = True if error == False: + # Calculates & stores a history per trade indexed by the notion database_id + # Errors in calculating the history should not stop the remaining steps history_per_trade = calc_history_per_trade(trades, yf_data) if error == False: + # Selects the most current values for the irr, current course etc. and saves them to the trades-object + # This object stores notion pages with all properties + # By "overwriting" the output properties (i.e. irr) and then overwriting the notion-pages, i can store fresh data trades = calc_current_value_per_trade(trades, history_per_trade) if error == False: - list_wkl_dates = create_list_wkl_dates(trades) + # Updates / replaces all pages in the notion "trades" + push_notion_trades_update(trades) if error == False: history_total = calc_history_total(history_per_trade, trades) + if error == False: + # Creates a list containing one date per week + list_wkl_dates = create_list_wkl_dates(trades) + if error == False: history_total_wkl = filter_history_by_list(history_total, list_wkl_dates) diff --git a/yf_data.txt b/yf_data.txt new file mode 100644 index 0000000..c255698 --- /dev/null +++ b/yf_data.txt @@ -0,0 +1,309 @@ +{'LYYA.DE': Close Dividends +Date +2009-11-13 63.441936 0.0 +2009-11-16 64.206802 0.0 +2009-11-17 64.117287 0.0 +2009-11-18 63.743000 0.0 +2009-11-19 62.929321 0.0 +... ... ... +2025-11-10 378.290009 0.0 +2025-11-11 379.589996 0.0 +2025-11-12 381.549988 0.0 +2025-11-13 376.359985 0.0 +2025-11-14 375.850006 0.0 + +[4066 rows x 2 columns], 'NVD.DE': Close Dividends +Date +2007-12-13 23.393524 0.0 +2007-12-14 23.393524 0.0 +2007-12-17 23.393524 0.0 +2007-12-18 23.393524 0.0 +2007-12-19 23.393524 0.0 +... ... ... +2025-11-10 168.039993 0.0 +2025-11-11 165.800003 0.0 +2025-11-12 166.639999 0.0 +2025-11-13 166.639999 0.0 +2025-11-14 163.500000 0.0 + +[4552 rows x 2 columns], 'ISPA.DE': Close Dividends +Date +2009-09-25 8.835647 0.0 +2009-09-28 8.890593 0.0 +2009-09-29 8.978509 0.0 +2009-09-30 9.005982 0.0 +2009-10-01 8.934552 0.0 +... ... ... +2025-11-10 33.000000 0.0 +2025-11-11 33.215000 0.0 +2025-11-12 33.395000 0.0 +2025-11-13 33.255001 0.0 +2025-11-14 33.205002 0.0 + +[4100 rows x 2 columns], 'EUNY.DE': Close Dividends +Date +2011-11-25 12.068275 0.0 +2011-11-28 12.304699 0.0 +2011-11-29 12.368515 0.0 +2011-11-30 12.701229 0.0 +2011-12-01 12.940397 0.0 +... ... ... +2025-11-10 15.128000 0.0 +2025-11-11 15.258000 0.0 +2025-11-12 15.298000 0.0 +2025-11-13 15.194000 0.0 +2025-11-14 15.208000 0.0 + +[3548 rows x 2 columns], 'MSF.DE': Close Dividends +Date +2007-12-28 16.091715 0.0 +2008-01-02 15.795918 0.0 +2008-01-03 15.717033 0.0 +2008-01-04 15.145140 0.0 +2008-01-07 15.454091 0.0 +... ... ... +2025-11-10 431.250000 0.0 +2025-11-11 434.549988 0.0 +2025-11-12 433.000000 0.0 +2025-11-13 437.799988 0.0 +2025-11-14 437.649994 0.0 + +[4544 rows x 2 columns], 'IQQL.DE': Close Dividends +Date +2008-01-07 8.660799 0.000000 +2008-01-14 8.216021 0.000000 +2008-01-21 7.511789 0.000000 +2008-01-31 8.055408 0.000000 +2008-02-05 8.463118 0.000000 +... ... ... +2025-11-10 30.087978 0.000000 +2025-11-11 30.289515 0.000000 +2025-11-12 30.348501 0.000000 +2025-11-13 29.400000 0.521498 +2025-11-14 29.325001 0.000000 + +[4370 rows x 2 columns], 'IQQP.DE': Close Dividends +Date +2008-12-23 11.590864 0.0 +2008-12-29 11.916176 0.0 +2008-12-30 11.753519 0.0 +2009-01-02 12.566789 0.0 +2009-01-05 13.061826 0.0 +... ... ... +2025-11-10 30.260000 0.0 +2025-11-11 30.530001 0.0 +2025-11-12 30.785000 0.0 +2025-11-13 30.895000 0.0 +2025-11-14 30.500000 0.0 + +[4290 rows x 2 columns], 'XUHY.DE': Close Dividends +Date +2018-02-14 7.248336 0.0 +2018-02-15 7.256043 0.0 +2018-02-16 7.256043 0.0 +2018-02-19 7.256043 0.0 +2018-02-20 7.256043 0.0 +... ... ... +2025-11-10 11.363500 0.0 +2025-11-11 11.364000 0.0 +2025-11-12 11.321500 0.0 +2025-11-13 11.252500 0.0 +2025-11-14 11.278000 0.0 + +[1970 rows x 2 columns], 'ASML.AS': Close Dividends +Date +1998-07-20 3.681718 0.0 +1998-07-21 3.625336 0.0 +1998-07-22 3.585870 0.0 +1998-07-23 3.185560 0.0 +1998-07-24 3.067160 0.0 +... ... ... +2025-11-10 886.700012 0.0 +2025-11-11 886.900024 0.0 +2025-11-12 891.799988 0.0 +2025-11-13 881.500000 0.0 +2025-11-14 874.099976 0.0 + +[7035 rows x 2 columns], 'XDN0.DE': Close Dividends +Date +2013-09-04 18.432314 0.0 +2013-09-05 18.409676 0.0 +2013-09-06 18.467722 0.0 +2013-09-09 18.567812 0.0 +2013-09-10 18.888399 0.0 +... ... ... +2025-11-10 47.720001 0.0 +2025-11-11 48.660000 0.0 +2025-11-12 49.115002 0.0 +2025-11-13 48.849998 0.0 +2025-11-14 48.279999 0.0 + +[3097 rows x 2 columns], 'VGWL.DE': Close Dividends +Date +2017-10-26 60.565231 0.0 +2017-10-27 61.300976 0.0 +2017-10-30 61.049957 0.0 +2017-10-31 61.049957 0.0 +2017-11-01 61.508717 0.0 +... ... ... +2025-11-10 141.539993 0.0 +2025-11-11 142.080002 0.0 +2025-11-12 142.699997 0.0 +2025-11-13 140.860001 0.0 +2025-11-14 140.720001 0.0 + +[2046 rows x 2 columns], 'UEFE.DE': Close Dividends +Date +2018-09-05 10.201477 0.0 +2018-09-06 10.226524 0.0 +2018-09-07 10.285321 0.0 +2018-09-10 10.244708 0.0 +2018-09-11 10.219944 0.0 +... ... ... +2025-11-10 11.380000 0.0 +2025-11-11 11.374500 0.0 +2025-11-12 11.393500 0.0 +2025-11-13 11.371000 0.0 +2025-11-14 11.395500 0.0 + +[1829 rows x 2 columns], 'APC.DE': Close Dividends +Date +2000-01-03 2.844365 0.000000 +2000-01-04 0.798163 0.000000 +2000-01-05 0.702383 0.000000 +2000-01-06 0.740115 0.000000 +2000-01-07 0.732859 0.000000 +... ... ... +2025-11-10 232.750000 0.223652 +2025-11-11 234.899994 0.000000 +2025-11-12 236.699997 0.000000 +2025-11-13 236.699997 0.000000 +2025-11-14 235.649994 0.000000 + +[6615 rows x 2 columns], 'QCI.DE': Close Dividends +Date +2007-12-18 15.819970 0.0 +2007-12-19 15.819970 0.0 +2007-12-20 15.819970 0.0 +2007-12-21 15.819970 0.0 +2007-12-27 15.819970 0.0 +... ... ... +2025-11-10 147.539993 0.0 +2025-11-11 149.699997 0.0 +2025-11-12 152.160004 0.0 +2025-11-13 150.240005 0.0 +2025-11-14 150.919998 0.0 + +[4549 rows x 2 columns], 'VWCE.DE': Close Dividends +Date +2019-07-29 71.849998 0.0 +2019-07-30 71.440002 0.0 +2019-07-31 71.550003 0.0 +2019-08-01 71.989998 0.0 +2019-08-02 69.639999 0.0 +... ... ... +2025-11-10 144.539993 0.0 +2025-11-11 145.020004 0.0 +2025-11-12 145.740005 0.0 +2025-11-13 143.820007 0.0 +2025-11-14 143.679993 0.0 + +[1605 rows x 2 columns], 'EXSG.DE': Close Dividends +Date +2008-01-02 16.657269 0.0 +2008-01-03 16.594925 0.0 +2008-01-04 16.454641 0.0 +2008-01-07 16.522179 0.0 +2008-01-08 16.615705 0.0 +... ... ... +2025-11-10 20.334999 0.0 +2025-11-11 20.465000 0.0 +2025-11-12 20.705000 0.0 +2025-11-13 20.715000 0.0 +2025-11-14 20.555000 0.0 + +[4540 rows x 2 columns], 'MIVB.DE': Close Dividends +Date +2018-11-20 47.334999 0.0 +2018-11-21 47.334999 0.0 +2018-11-22 47.334999 0.0 +2018-11-23 47.334999 0.0 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