lastancientone / deep_learning_machine_learning_stock Goto Github PK

Please add attention network or transformer model if possible.

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.

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....

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.

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)

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