/FMP-NVDA

Fundamental Analysis of NVIDIA using FMP API in Python

Primary LanguagePythonApache License 2.0Apache-2.0

FMP-NVDA

Fundamental Analysis of NVIDIA using FMP API in Python

fmp.get_quote('NVDA') [{'symbol': 'NVDA', 'name': 'NVIDIA Corporation', 'price': 893.98, 'changesPercentage': 1.0661, 'change': 9.43, 'dayLow': 850.12, 'dayHigh': 905.37, 'yearHigh': 974, 'yearLow': 253.81, 'marketCap': 2234950000000, 'priceAvg50': 708.781, 'priceAvg200': 514.4562, 'exchange': 'NASDAQ', 'volume': 66520583, 'avgVolume': 51110326, 'open': 866, 'previousClose': 884.55, 'eps': 11.94, 'pe': 74.87, 'earningsAnnouncement': '2024-05-22T10:59:00.000+0000', 'sharesOutstanding': 2500000000, 'timestamp': 1710878400}]

print(msft_info_df) symbol NVDA price 893.98 beta 1.725 volAvg 51110326 mktCap 2234950000000 lastDiv 0.16 range 253.81-974.0 changes 9.43 companyName NVIDIA Corporation currency USD cik 0001045810 isin US67066G1040 cusip 67066G104 exchange NASDAQ Global Select exchangeShortName NASDAQ industry Semiconductors website https://www.nvidia.com description NVIDIA Corporation provides graphics, and comp... ceo Mr. Jen-Hsun Huang sector Technology country US fullTimeEmployees 29600 phone 408 486 2000 address 2788 San Tomas Expressway city Santa Clara state CA zip 95051 dcfDiff 339.96848 dcf 554.011519 image https://financialmodelingprep.com/image-stock/... ipoDate 1999-01-22 defaultImage False isEtf False isActivelyTrading True isAdr False isFund False

print(msft_info_df) symbol NVDA date 2024-03-19 rating S- ratingScore 5 ratingRecommendation Strong Buy ratingDetailsDCFScore 3 ratingDetailsDCFRecommendation Neutral ratingDetailsROEScore 5 ratingDetailsROERecommendation Strong Buy ratingDetailsROAScore 5 ratingDetailsROARecommendation Strong Buy ratingDetailsDEScore 3 ratingDetailsDERecommendation Neutral ratingDetailsPEScore 5 ratingDetailsPERecommendation Strong Buy ratingDetailsPBScore 5 ratingDetailsPBRecommendation Strong Buy

Credits: https://benjaq.medium.com/a-simple-guide-how-to-use-the-financial-modeling-prep-api-in-python-b3e03e742fb8 https://medium.com/@slisowski/support-your-algorithmic-trading-with-fundamental-data-e81781b10d9d https://pypi.org/project/fmp-python/ https://github.com/ddalgotrader/support_trading_fundamental_data/blob/main/FmpConnector.py

print(tesla_info_df)

date symbol reportedCurrency cik fillingDate
0 2024-01-28 NVDA USD 0001045810 2024-02-21
1 2023-01-29 NVDA USD 0001045810 2023-02-24
2 2022-01-30 NVDA USD 0001045810 2022-03-18
3 2021-01-31 NVDA USD 0001045810 2021-02-26
4 2020-01-26 NVDA USD 0001045810 2020-02-20

      acceptedDate calendarYear period  cashAndCashEquivalents  \

0 2024-02-21 16:36:57 2024 FY 7280000000
1 2023-02-24 17:23:43 2023 FY 3389000000
2 2022-03-17 20:33:34 2022 FY 1990000000
3 2021-02-26 17:03:14 2021 FY 847000000
4 2020-02-20 16:38:18 2020 FY 10896000000

shortTermInvestments ... totalStockholdersEquity totalEquity
0 18704000000 ... 42978000000 42978000000
1 9907000000 ... 22101000000 22101000000
2 19218000000 ... 26612000000 26612000000
3 10714000000 ... 16893000000 16893000000
4 1000000 ... 12204000000 12204000000

totalLiabilitiesAndStockholdersEquity minorityInterest
0 65728000000 0
1 41182000000 0
2 44187000000 0
3 28791000000 0
4 17315000000 0

totalLiabilitiesAndTotalEquity totalInvestments totalDebt netDebt
0 65728000000 20250000000 11056000000 3776000000
1 41182000000 10206000000 11855000000 8466000000
2 44187000000 19484000000 11687000000 9697000000
3 28791000000 10858000000 7597000000 6750000000
4 17315000000 1000000 2552000000 -8344000000

                                            link  \

0 https://www.sec.gov/Archives/edgar/data/104581...
1 https://www.sec.gov/Archives/edgar/data/104581...
2 https://www.sec.gov/Archives/edgar/data/104581...
3 https://www.sec.gov/Archives/edgar/data/104581...
4 https://www.sec.gov/Archives/edgar/data/104581...

                                       finalLink  

0 https://www.sec.gov/Archives/edgar/data/104581...
1 https://www.sec.gov/Archives/edgar/data/104581...
2 https://www.sec.gov/Archives/edgar/data/104581...
3 https://www.sec.gov/Archives/edgar/data/104581...
4 https://www.sec.gov/Archives/edgar/data/104581...

[5 rows x 54 columns]