BRINGING THE
POWER OF STORIES TO AI MODELING
SP Story is a dataset for data scientists and AI/ML model builders who work on stock market prediction, giving them an integrated package of price, image, story (free text), and demographic data.
Initially there was some instability, shown by the dips and the spike. But there seems to be a trend for the data points to continue increasing. Whatever Initial volatility there was in the system seems to be drastically reduced now.
It's relatively steady in it's peaks and dips. It goes up and down sometimes in large percentages periodically and more regularly fluctuates up and down to a much smaller degree. Over a long period of time it likely averages out over the long term.
We believe that stories – the way people describe and predict stock price movement – provide a valuable new type of insight for price prediction models, and we have fully integrated these stories with stock price history, graphs, and demographics, to use in building more insightful models.
Red Weather uses a uniform, repeatable crowdsourcing process to gather free text descriptions and predictions of S&P 500 stock market data from over 2,100 people from all 50 US states.
Although there are many fluctuations, the most recent trend of the graph seems to be going up. However, this does not mean it will definitely go up because in the past there has been a large drop.
There are swings in the price. Like the big dip in price towards the middle of the graph. The overall trend seems to be upward. I think the price will go up overall in the long term.
Each of these responses is linked to price data, price movement graphs, and the demographic profile of each participant, to comprise the SP Story dataset. Data scientists can build predictive models using the SP Story data alone, or can integrate it with economic, newsfeed, social media, and any other data.