AI Signals US Single Stocks (Raw Data)

The dataset includes daily single stock signals, covering the S&P 500.

The daily trading signals, can be used as overlay for your existing strategies - increasing sharpe ratio and decreasing drawdowns - or to implement new optimized strategies. These signals are generated by our proprietary machine learning models, which have been developed by our in-house Data Scientists. The underlying data on which the models are trained on to generate the signals, are of different types including security prices, trading volumes and news data.

Sample Tables:
- US Single Stocks daily raw data from 2012

Fields Included:
- Date
- secutiry_identifier
- axo_sentiment_score
- axo_momentum_score
- axo_sentiment_volume

Expected workflow:
- The Consumer can access a snowflake table with the fields described included
- The Consumer does not neet to provide any information to the data provider
- The data provider updates the snowflake table on a daily basis with new signals
- After the overnight update, the snowflake table id uptodate and the consumer can access the new generated data point

1. Consumer logs into snowflake
2. Consumer can use snowflake to access the shared snowflake database and table

搜集汇总

背景与挑战

背景概述

该数据集提供美国单只股票的日度原始交易信号，覆盖标普500成分股，由专有的机器学习模型基于股价、交易量和新闻数据生成。它以Snowflake表格形式每日更新，包含日期、证券标识符及多个评分字段，供用户直接访问使用。