Comments (1)
gymnasium is needed for StockTradingEnv (env_stocktrading.py) which is "A stock trading environment for OpenAI gym", and has modules:
import gymnasium as gym
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from gymnasium import spaces
from gymnasium.utils import seeding
from stable_baselines3.common.vec_env import DummyVecEnv
If you don't have it installed or imported that gives you an error
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Related Issues (20)
- exit code 139 (interrupted by signal 11:SIGSEGV)
- Please help! AssertionError : assert state.shape == (args.state_dim,) HOT 5
- New feature request - support customs indicators and strategies
- Wrong reward at terminal date when training with SB3
- MVO performing better than Porfolio allocation
- Bug when importing HOT 1
- Same reward thought the training in DDPG
- backtest_plot() have internal problem associated with pandas version HOT 1
- YahooFinanceProcessor failure to download the market data HOT 2
- Full dataset normalization biases test set HOT 1
- Some Technical indicators not supported HOT 1
- Proof of RL viability for trading with data leakage HOT 2
- could not import finrl in google colab HOT 2
- SAC model on testing set is allocating same weights to a given TIC on consecutive days HOT 1
- Value error after running 50000 timesteps HOT 1
- how to save the model ? HOT 1
- Is there a way to look at the Expected Rewards of each timestamp in the testing set? HOT 3
- Is there a way to prevent the FinRL model from doing any Short selling HOT 1
- all the input array dimensions except for the concatenation axis must match exactly when running FinRL_PortfolioOptimizationEnv_Demo with CAC40 Data HOT 1
- Do train and test dataframes have to have the same column ordering ? HOT 1
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