OHLC + TIME + TICK + TWITTER + REDDIT
JFLXB opened this issue · 1 comments
JFLXB commented
Description
Run the Experiment for the following setup 3 times for a window_size of 30.
Attributes
["time", "open", "high", "low", "close", "tick_volume", "spread", "real_volume", "bid_count", "bid_mean", "bid_std", "bid_min", "bid_25%", "bid_50%", "bid_75%", "bid_max", "ask_count", "ask_mean", "ask_std", "ask_min", "ask_25%", "ask_50%", "ask_75%", "ask_max", "last_count", "last_mean", "last_std", "last_min", "last_25%", "last_50%", "last_75%", "last_max", "volume_count", "volume_mean", "volume_std", "volume_min", "volume_25%", "volume_50%", "volume_75%", "volume_max", "time_msc_count", "time_msc_mean", "time_msc_std", "time_msc_min", "time_msc_25%", "time_msc_50%", "time_msc_75%", "time_msc_max", "flags_count", "flags_mean", "flags_std", "flags_min", "flags_25%", "flags_50%", "flags_75%", "flags_max", "volume_real_count", "volume_real_mean", "volume_real_std", "volume_real_min", "volume_real_25%", "volume_real_50%", "volume_real_75%", "volume_real_max", "reddit_mention_count", "reddit_mention_mean", "reddit_mention_std", "reddit_mention_min", "reddit_mention_25%", "reddit_mention_50%", "reddit_mention_75%", "reddit_mention_max", "reddit_postitive_score_count", "reddit_postitive_score_mean", "reddit_postitive_score_std", "reddit_postitive_score_min", "reddit_postitive_score_25%", "reddit_postitive_score_50%", "reddit_postitive_score_75%", "reddit_postitive_score_max", "reddit_negative_score_count", "reddit_negative_score_mean", "reddit_negative_score_std", "reddit_negative_score_min", "reddit_negative_score_25%", "reddit_negative_score_50%", "reddit_negative_score_75%", "reddit_negative_score_max", "reddit_positive_mention_count", "reddit_positive_mention_mean", "reddit_positive_mention_std", "reddit_positive_mention_min", "reddit_positive_mention_25%", "reddit_positive_mention_50%", "reddit_positive_mention_75%", "reddit_positive_mention_max", "reddit_negative_mention_count", "reddit_negative_mention_mean", "reddit_negative_mention_std", "reddit_negative_mention_min", "reddit_negative_mention_25%", "reddit_negative_mention_50%", "reddit_negative_mention_75%", "reddit_negative_mention_max", "reddit_score_count", "reddit_score_mean", "reddit_score_std", "reddit_score_min", "reddit_score_25%", "reddit_score_50%", "reddit_score_75%", "reddit_score_max", "twitter_mention_count", "twitter_mention_mean", "twitter_mention_std", "twitter_mention_min", "twitter_mention_25%", "twitter_mention_50%", "twitter_mention_75%", "twitter_mention_max", "twitter_postitive_score_count", "twitter_postitive_score_mean", "twitter_postitive_score_std", "twitter_postitive_score_min", "twitter_postitive_score_25%", "twitter_postitive_score_50%", "twitter_postitive_score_75%", "twitter_postitive_score_max", "twitter_negative_score_count", "twitter_negative_score_mean", "twitter_negative_score_std", "twitter_negative_score_min", "twitter_negative_score_25%", "twitter_negative_score_50%", "twitter_negative_score_75%", "twitter_negative_score_max", "twitter_positive_mention_count", "twitter_positive_mention_mean", "twitter_positive_mention_std", "twitter_positive_mention_min", "twitter_positive_mention_25%", "twitter_positive_mention_50%", "twitter_positive_mention_75%", "twitter_positive_mention_max", "twitter_negative_mention_count", "twitter_negative_mention_mean", "twitter_negative_mention_std", "twitter_negative_mention_min", "twitter_negative_mention_25%", "twitter_negative_mention_50%", "twitter_negative_mention_75%", "twitter_negative_mention_max", "twitter_score_count", "twitter_score_mean", "twitter_score_std", "twitter_score_min", "twitter_score_25%", "twitter_score_50%", "twitter_score_75%", "twitter_score_max"]
Agents
- DQN 🚧
- A2C
- PPO
Sub-Tasks
These window sizes should be tested after running the experiment 3 times using the default window_size of 30.
-
window_size: 1 -
window_size: 5 -
window_size: 30 -
window_size: 60 -
window_size: 360 -
window_size: 720 -
window_size: 1440 -
window_size: 10080