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10mohi6
10mohi6

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May 11, 2021

Super easy Python Stock investment technical analysis backtesting

Super easy stock trading rule strategy backtesting in Python — 1. tool installation $ pip install stock-backtest 2. file creation 3. execution $ python stock.py

Python

1 min read

Super easy Python Stock investment technical analysis backtesting
Super easy Python Stock investment technical analysis backtesting
Python

1 min read


Apr 25, 2021

Super easy Python Automatic extraction of stock price data features (using tsfresh)

Automatic extraction of stock price data features using tsfresh in Python — 1. tool installation $ pip install scikit-learn xgboost pandas-datareader tsfresh 2. file creation 3. execution $ python pred.py That’s super easy! 4. reference tsfresh - tsfresh 0.18.1.dev11+g8ebb236 documentation tsfresh is a python package. It automatically calculates a large number of time series characteristics, the so called…tsfresh.readthedocs.io

Python

1 min read

Super easy Python Automatic extraction of stock price data features (using tsfresh)
Super easy Python Automatic extraction of stock price data features (using tsfresh)
Python

1 min read


Apr 25, 2021

Super easy Python Financial portfolio optimization (modern portfolio theory, efficient frontier, etc.)

Automatically optimize financial portfolio from historical data super-easily using modern portfolio theory, efficient frontier, etc. in Python — 1. tool installation $ pip install portfolio-backtest $ pip install PyPortfolioOpt 2. file creation 3. execution $ python backtest.py Tangency Portfolio

Hierarchical Risk Parity

2 min read

Super easy Python Financial portfolio optimization (modern portfolio theory, efficient frontier…
Super easy Python Financial portfolio optimization (modern portfolio theory, efficient frontier…
Hierarchical Risk Parity

2 min read


Apr 25, 2021

Super easy Python Stock price forecasting (using ensemble stacking) Machine learning

Machine learning for forecasting stock prices up and down the next day using ensemble stacking learning in Python — 1. tool installation $ pip install scikit-learn pandas_datareader rgf-python xgboost 2. file creation 3. execution $ python pred.py 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Stock Price Forecast

1 min read

Super easy Python Stock price forecasting (using ensemble stacking) Machine learning
Super easy Python Stock price forecasting (using ensemble stacking) Machine learning
Stock Price Forecast

1 min read


Apr 25, 2021

Super easy Python Stock price forecasting (using ensemble voting) Machine learning

Machine learning for forecasting up and down stock prices the next day using ensemble voting learning in Python — 1. tool installation $ pip install scikit-learn pandas_datareader rgf-python xgboost 2. file creation 3. execution $ python pred.py 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Stock Price Forecast

1 min read

Super easy Python Stock price forecasting (using ensemble voting) Machine learning
Super easy Python Stock price forecasting (using ensemble voting) Machine learning
Stock Price Forecast

1 min read


Apr 25, 2021

Super easy Python Stock price forecasting (using ensemble bagging) Machine learning

Machine learning for forecasting up and down stock prices the next day using ensemble bagging learning in Python — 1. tool installation $ pip install scikit-learn pandas_datareader 2. file creation 3. execution $ python pred.py 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Stock Price Forecast

1 min read

Super easy Python Stock price forecasting (using ensemble bagging) Machine learning
Super easy Python Stock price forecasting (using ensemble bagging) Machine learning
Stock Price Forecast

1 min read


Dec 17, 2020

Super easy Python stock price forecasting(using Multilayer Perceptron) Machine learning

Machine learning for forecasting up and down stock prices the next day using Multilayer Perceptron (MLP) in Python — 1. tool installation $ pip install scikit-learn pandas_datareader 2. file creation 3. execution $ python pred.py That’s super easy! 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Stock Price Forecast

1 min read

Super easy Python stock price forecasting(using Multilayer Perceptron) Machine learning
Super easy Python stock price forecasting(using Multilayer Perceptron) Machine learning
Stock Price Forecast

1 min read


Dec 16, 2020

Super easy Python stock price forecasting(using Regularized Greedy Forest) Machine learning

Machine learning for forecasting up and down stock prices the next day using Regularized Greedy Forest (RGF) in Python — 1. tool installation $ pip install scikit-learn pandas_datareader rgf-python 2. file creation 3. execution $ python pred.py That’s super easy! 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Stock Price Forecast

1 min read

Super easy Python stock price forecasting(using Regularized Greedy Forest) Machine learning
Super easy Python stock price forecasting(using Regularized Greedy Forest) Machine learning
Stock Price Forecast

1 min read


Dec 3, 2020

Super easy Python stock price forecasting(using Support vector machine) Machine learning

Machine learning for forecasting up and down stock prices the next day using Support vector machine in Python — 1. tool installation $ pip install scikit-learn pandas_datareader 2. file creation 3. execution $ python pred.py That’s super easy! 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Support Vector Machine

1 min read

Super easy Python stock price forecasting(using Support vector machine) Machine learning
Super easy Python stock price forecasting(using Support vector machine) Machine learning
Support Vector Machine

1 min read


Dec 3, 2020

Super easy Python stock price forecasting(using Bernoulli Naive Bayes) Machine learning

Machine learning for forecasting up and down stock prices the next day using Bernoulli Naive Bayes in Python — 1. tool installation $ pip install scikit-learn pandas_datareader 2. file creation 3. execution $ python pred.py That’s super easy! 4. result As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

Bernoulli Naive Bayes

1 min read

Super easy Python stock price forecasting(using Bernoulli Naive Bayes) Machine learning
Super easy Python stock price forecasting(using Bernoulli Naive Bayes) Machine learning
Bernoulli Naive Bayes

1 min read

10mohi6

10mohi6

26 Followers

https://github.com/10mohi6

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