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trade-risk
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| #!/usr/bin/env python3 | |
| # -*- coding: utf-8 -*- | |
| """ | |
| trade-risk | |
| Copyright (C) <2025> Markus Hackspacher | |
| This file is part of trade-risk. | |
| trade-risk is free software: you can redistribute it and/or modify | |
| it under the terms of the GNU General Public License as published by | |
| the Free Software Foundation, either version 3 of the License, or | |
| (at your option) any later version. | |
| trade-risk is distributed in the hope that it will be useful, | |
| but WITHOUT ANY WARRANTY; without even the implied warranty of | |
| MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the | |
| GNU Lesser General Public License for more details. | |
| You should have received a copy of the GNU General Public License | |
| along with trade. If not, see <http://www.gnu.org/licenses/>. | |
| """ | |
| import os | |
| import sys | |
| import yfinance as yf | |
| MAXLOST = 25.0 | |
| MAXRISK = 0.01 | |
| locale.setlocale(locale.LC_ALL, "") | |
| def Show(): | |
| print('Berechnung von meinem Risiko') | |
| print(f'Eingestellter maximaler Verlust {locale.currency(MAXLOST)} ' | |
| f'und maximales Risiko {locale.format_string("%.2f", MAXRISK*100)} % ') | |
| def Risk(buy = 4.90, stop = 4.85): | |
| locale.currency(buy) | |
| print(f'# Kurs {locale.currency(buy)}, Stopp {locale.currency(stop)}, ' | |
| f'Differenz {locale.currency(buy-stop)}') | |
| risk = buy / stop - 1 | |
| size = MAXLOST / (buy - stop) | |
| print (f'# Positionsgröße {locale.currency(size * buy)}, entspricht {locale.format_string("%.2f", size)} Stück') | |
| print (f'- Risiko {locale.format_string("%.2f", risk*100)} %, Stopp {locale.currency(size * stop)} ') | |
| if risk > MAXRISK: | |
| print (f'- MAXRISK {locale.format_string("%.2f", MAXRISK*100)} %: Stopp auf {locale.currency(buy - (buy * MAXRISK))}' | |
| f', entspricht {locale.currency((size * buy) - (size * buy * MAXRISK))}') | |
| return | |
| def money(kurs, numberOfShares): | |
| return (f'{locale.currency(kurs * numberOfShares)}, Kurs {locale.currency(kurs)}, ' | |
| f'{locale.format_string("%.2f", numberOfShares)} Stück') | |
| def sell(buy=4.9, sell=5.1, stop=4.8, numberOfShares=40): | |
| print(f'Gekauft bei Kurs {locale.currency(buy)}, Stopp {locale.currency(stop)}, Verkauf {locale.currency(sell)}') | |
| print(f'Kaufwert bei {locale.currency(buy*numberOfShares)}, Stopp {locale.currency(stop*numberOfShares)}, ' | |
| f'Verkauf {locale.currency(sell*numberOfShares)}') | |
| print(f'Gewinnverhältnis {locale.format_string("%.2f", 100*(sell/buy-1))}, ' | |
| f'Risiko {locale.format_string("%.2f", 100*(buy/stop-1))}') | |
| if buy < sell: | |
| print(f'Gewinn: {locale.currency((sell-buy)*numberOfShares)}') | |
| else: | |
| print(f'Verlust: {locale.currency((sell-buy)*numberOfShares)}') | |
| def TickersData(): | |
| # yf.enable_debug_mode() | |
| data = yf.download(['MSFT', 'AAPL', 'GOOG'], | |
| period='5d', | |
| interval='1h', | |
| prepost=True) | |
| print(data) | |
| print(data['Close']) # This will show the adjusted close prices | |
| return | |
| """ | |
| import matplotlib.pyplot as plt | |
| plt.figure(figsize=(12, 6)) | |
| plt.plot(data['Open']['GOOG'], label='GOOG Open Price') | |
| plt.plot(data['Low']['GOOG'], label='GOOG Low Price') | |
| plt.xlabel('Datetime') | |
| plt.ylabel('Close Price') | |
| plt.title('Comparison of GOOG and MSFT Close Prices') | |
| plt.legend() | |
| plt.show() | |
| last_datetime = [None, None, None] | |
| for datetime, goog_Open in data['Low']['GOOG'].items(): | |
| if last_datetime[0] is None: | |
| last_datetime[0] = datetime | |
| continue | |
| if last_datetime[1] is None: | |
| last_datetime[1] = last_datetime[0] | |
| continue | |
| if last_datetime[2] is None: | |
| last_datetime[2] = last_datetime[1] | |
| continue | |
| goog_Low = min(data['Low']['GOOG'].loc[last_datetime[0]],data['Low']['GOOG'].loc[last_datetime[1]],data['Low']['GOOG'].loc[last_datetime[2]]) | |
| if goog_Open < goog_Low: | |
| print(f"{datetime}: GOOG open ({goog_Open:.2f}) was lower than low ({goog_Low:.2f},{last_datetime})") | |
| elif goog_Low < goog_Open: | |
| print(f"{datetime}: GOOG Low ({goog_Low:.2f}) ") | |
| else: | |
| print(f"{datetime}: GOOG Open und Low prices were the same ({goog_Open:.2f})") | |
| last_datetime[2] = last_datetime[1] | |
| last_datetime[1] = last_datetime[0] | |
| last_datetime[0] = datetime | |
| """ | |
| if __name__ == "__main__": | |
| Show() | |
| # TickersData() | |
| Risk() | |
| print('Verkauf: ', money(0, 250)) |
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