lastancientone / deep_learning_machine_learning_stock

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Hi there. I'm Tin. 👋

Welcome to my page!

📫

Contact

If you're finding value in my work and would like to show your appreciation, consider supporting me by 'buying me a coffee.' Your contribution goes a long way in fueling my passion for creating and maintaining quality projects. I truly appreciate any support you can offer. Thank you!

💻 🔢 🔣 🤖 I love mathematics, statistics, data, programming, data science, machine learning, and deep learning.

💵 💰 💸 📈 📉 I am into investment, finance, and quantitative research.

🌱 I'm addict to learning and growing everyday.

🏆 GitHub Profile Trophy:

📉 📈 📊 GitHub Stats

💻 GitHub Most Languages Used

Github Top Languages by Repo

Github Top Languages by Commit

GitHub Commit

Repository
Stock Analysis for Quant
Deep Learning Maching Learning Stock
Mathematics for Maching Learning
Simple Stock Analysis in Python
Simple Stock Analysis in R
Data Science

Open source projects

📝 Projects	⭐ Stars	💻 Forks	❌ Issues	📬 Pull requests
Stock Analysis For Quant
Deep Learning & Machine Learning for Stock Analysis
Simple Stock Analysis in Python Tutorial

Investment Projects

Repository Links	⭐ Stars	💻 Forks
Covid-19 Vaccines Investment
Beverages Long Term Investment
Electrics Cars Investment
Housing & Home Building Investment
Technology Investment
Services Industry Restaurants Investment
AMD vs NVDA Investment

Connect with me:

Programming Languages:

Python

R

Matlab

VBA (Visual Basic for Applications)

Software Applications and Tools:

Excel

Power BI

Tableau

Operations System and Software:

Programming Languages and Sofwares:

Please leave a ⭐️ if you like or fork my codes or using my repositories for yourself to modify!

🌟 Your Support Matters! 🌟

If you find my work valuable and wish to contribute, your support means the world to me! You can help fuel my creativity and dedication with a simple gesture – buying me a coffee! ☕

Your generosity goes beyond just a beverage; it's a vote of confidence in my efforts. Whether it's a coffee, a kind comment, or a ⭐️ on my work, every bit of support fuels my passion and helps me keep going.

When you choose to donate, your message will be cherished and prominently displayed on my main site. However, please only contribute if it's comfortable for you, as there's no refund system in place. Your donation is entirely optional and deeply appreciated.

Thank you immensely for considering supporting my work. Together, we can keep the creativity flowing!

deep_learning_machine_learning_stock's Issues

Basic_Machine_Learning_Predicts.ipynb

There are errors input onwards :

X = df.drop(['Date','Close'], axis=1, inplace=True)
y = df[['Adj Close']]

Kindly tell us what packages do we need to test and run the files like pip install yfinance, pip install seaborn etc.

The version of the notebook server is: 6.4.8
Python 3.10.7 (main, Sep 8 2022, 14:34:29) [GCC 12.2.0]
Ubuntu : 22.10 (Development Branch)

Thoughts on this research paper

Hey! This repository is awesome! I just finished reading this research article and was wondering if this is something you believe would be worth attempting to implement.

https://link.springer.com/article/10.1007/s00530-021-00758-w

Interested to hear your thoughts! I'm really curious to see first hand how accurate the predictions could be when combining historical data, options, and futures.

what does input symbol means in stocks_app.py

got code but is not understanding as if I gave input as stock name its throwing error

File "C:\Users\vaibh\Desktop\Deep-Learning-Machine-Learning-Stock-master\Stock_Apps\Stock_ML_Predict_Apps.py", line 54, in stock_logistic_regression
df = yf.download(sym, s, e)
AttributeError: module 'yahoo_finance' has no attribute 'download'

please help me resolve this issue....

Need correction in cell 16 from '001_Pandas.ipynb'

Below original first line of code doesn't work ⬇️ :

# Move column example
# Move Date in the first column

cols = list(new_df)
cols.insert(0, cols.pop(cols.index('Date')))
cols

Please correct this code to ⬇️ :

# Move column example
# Move Date in the first column
cols = new_df.columns.to_list()
cols.insert(0, cols.pop(cols.index('Date')))
cols

New complemetary tool

My name is Luis, I'm a big-data machine-learning developer, I'm a fan of your work, and I usually check your updates.

I was afraid that my savings would be eaten by inflation. I have created a powerful tool that based on past technical patterns (volatility, moving averages, statistics, trends, candlesticks, support and resistance, stock index indicators).
All the ones you know (RSI, MACD, STOCH, Bolinger Bands, SMA, DEMARK, Japanese candlesticks, ichimoku, fibonacci, williansR, balance of power, murrey math, etc) and more than 200 others.

The tool creates prediction models of correct trading points (buy signal and sell signal, every stock is good traded in time and direction).
For this I have used big data tools like pandas python, stock market libraries like: tablib, TAcharts ,pandas_ta... For data collection and calculation.
And powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM.

With the models trained with the selection of the best technical indicators, the tool is able to predict trading points (where to buy, where to sell) and send real-time alerts to Telegram or Mail. The points are calculated based on the learning of the correct trading points of the last 2 years (including the change to bear market after the rate hike).

I think it could be useful to you, to improve, I would like to give it to you, and if you are interested in improving and collaborating I am also willing, and if not I would like to file it in the drawer.

Please add attention network or transformer model if possible.

Please add attention network or transformer model if possible.