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https://github.com/lastancientone/technology_investment

Analyzing and investing Technology Stocks
https://github.com/lastancientone/technology_investment

excel fundamentals investing investment investment-analysis investment-strategies python r ratio-analysis regression-analysis technical-analysis technology

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Analyzing and investing Technology Stocks

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README 

        


Technology Investment



#### This project involves conducting long-term investment analysis to determine which technology company is a suitable choice for long-term investment. The analysis includes examining historical data spanning 10 years, calculating performance measurements, conducting back-testing, forecasting, and utilizing the Capital Asset Pricing Model. Various trading strategies are tested with the aim of identifying stocks with the lowest risks and highest returns.  



#### Use income, balance, and cashflow statements and historical price in Excel, Python, and R for Stocks Analysis.  



# Prerequistes  

#### Python 3.7  

#### Jupyter Notebook Python 3.7   

#### Excel 2016  

#### R  



### Stock Tickers:

ADBE Adobe Inc.  

AMAT Applied Materials, Inc.  

AMD Advanced Micro Devices, Inc.  

AVGO Broadcom Inc.  

BABA Alibaba Group Holding Limited  

CSCO Cisco Systems, Inc.  

ETSY Etsy, Inc.  

GOOGL Alphabet Inc.  

INTC Intel Corporation  

LRCX Lam Research Corporation  

LUMN Lumen Technologies, Inc.  

META Meta Platforms, Inc.  

MSFT Microsoft Corporation  

MU Micron Technology, Inc.  

NFLX Netflix, Inc.  

NVDA NVIDIA Corporation  

PYPL PayPal Holdings, Inc.  

QCOM QUALCOMM Incorporated  

STX Seagate Technology Holdings plc  

TSM Taiwan Semiconductor Manufacturing Company Limited  



### Sharpe Ratios 

#### Using PerformanceAnalytics to calculate Sharpe Ratios  

ADBE (0.5995)  

AMAT (0.6347)  

AMD (0.9207)  

AVGO (0.6232)  

BABA (0.0464)  

CSCO (0.03296)  

ETSY (0.7830)  

GOOGL (0.4547)  

INTC (-0.1046)  

LRCX (0.6292)  

LUMN (-0.4699)  

META (0.0612)  

MSFT (0.8349)  

MU (0.4172)  

NFLX (0.3370)  

NVDA (1.0307)  

PYPL (0.2773)  

QCOM (0.3124)   

STX (0.1312)  

TSM (0.5998)  



### Information Ratio  

AMD     (0.064884185)  

NVDA    (0.068458849)  

MSFT    (0.059647883)  

GOOGL   (0.035844059)  

QCOM    (0.035545590)   

BABA    (0.016188351)  

TSM     (0.050755716)  

META    (0.016299578)  

NFLX    (0.034327497)  

ADBE    (0.045139104)  

PYPL    (0.028956244)  

AVGO    (0.052428076)  

MU      (0.038994102)  

AMAT    (0.050709841)  

INTC    (0.009309534)  

STX     (0.029457974)  

LUMN   (-0.006516516)  

ETSY    (0.059062384)  

LRCX    (0.050977054)  

CSCO    (0.035562899)  

 

### Monthly Returns  

February, June, December and September seem to be the best times to buy more shares or start investing in tech stocks.  



## Author:  

### Tin Hang  



## Disclaimer

### 🔴 This is not financial advice. Please conduct your own research and refrain from using this code for investing or trading in stocks. If you are interested in the stock market, consider reading books on investment, trading, and finance. It is advisable to consult with a professional investment advisor before making any investment decisions. Remember, this information is for educational purposes only.