Economy USD/JPY Pred Modeling ipynb
from alpha_vantage.timeseries import TimeSeries import pandas as pd import matplotlib.pyplot as plt from sklearn.linear_...
Economy
カテゴリ "Economy"：12件
Economy 
Economy U.S. Stocks to Watch in March
AMZN (Amazon) Improved profitability in e-commerce by cutting delivery costs through logistics restructuring. Growth in ...
Economy Three-value classification(USDJPY) – Preparation, Learning, Importances
Estimate USDJPY after 1 day based on 10 years of data by using scikit-learn # import libraries import pandas as pd impor...
Economy Forex Forecasting with Random Forests – 1/N Preproccesing
# Import libraries import numpy as np import pandas as pd import datetime as dt from sklearn.model_selection import trai...
Central bank FOMC Chair Jerome Powell speaks after Fed holds interest rates steady
The Fed left its policy rate unchanged for the third consecutive meeting. Participants predicted three rate cuts in 2024...
Economy Forex Forecasting with Random Forests 2/N – Technical indicators
## Feature creation/processing #- Addition of technical indicators #- Creation of statistics that may be valid for each ...
Economy 23Y Comparison of government bond yields
In the first half of 2023, the FOMC's planned rate hikes opened the interest rate differential and weakened the yen; in ...
Economy Forex Forecasting with Random Forests 3/N – Modeling and tuning
# # Create model with best params seed = 17 model = RandomForestClassifier(**best_param, random_state=seed) model.fit(X_...
Economy Forex Forecasting with Random Forests 4/N – Precision Rating
### Trade Simulation def trade_simulation(dfx,leverage,start_balance): i = 0 for index,item in dfx.iterrows(): # Margin ...
Economy Forex Forecasting with Random Forests /ALL – Back/forward test and importances
### Back test # Leverage multiple leverage = 25 # Balance at start start_balance = 1000000 # Profit and loss calculation...