Simply Fast Analysis
Research 13,000+ US‑listed tickers in minutes with our weekly AI driven probability‑based predictions for the coming weeks.
No Software, No Set up, No Friction.
Just one Excel file, 43 AI-driven prediction tables, 17 manual analysis tables, for all analyzable tickers, across all sheets.
Using supervised learning our AI models are trained on established technical chart patterns
We also us unsupervised learning to allow the AI models to discovery new trends.
Putting the two together we provide predictions of future gains and losses of all analyzable tickers in the US Stock Market.
Subscribe for our full weekly breakdown of our stock picks before it reaches social platforms.
Every week after market close we input all listed tickers into our system and provide you with a series of tables containing our AI models predictions and manually calculated patterns and metrics to support your analysis.
Research the entire US Stock Market in minutes.
This weekly Excel file summarizes 13,000+ US‑listed tickers into clean, AI driven probability‑based predictions for the coming weeks.
Includes 43 AI-driven prediction tables and 17 manual analysis tables across all sheets.
Built for traders who want clarity, speed, and AI‑powered efficiency.
Designed to help you:
Predictions come from a swarm of neural networks trained on:
You will receive a multi‑sheet Excel file containing tables representing each pattern or style of prediction.
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Sheet 1 — Summary Dashboard
Sheet 2 — Moving Average Predictions
AI predictions for stocks reaching:
Predictions are separated by:
Predictions are based on matching existing Moving Averages' patterns and trend structures detected by the AI model.
Sheet 3 — Candlestick Pattern Probabilities
Two tables representing the probability that the tickers match the patterns:
Bullish Patterns:
Bearish Patterns:
Sheet 3 — Candlestick Pattern Probabilities
Two tables representing the probability that the tickers match the patterns:
Bullish Patterns:
Bearish Patterns:
Sheets 4 & 5 — Bullish & Bearish Moving Average Patterns
Predictions categorized by patterns formed from:
Predictions for each pattern follow the same structure as sheet 2 and combine ASP and END into one probability.
Predictions include tables for patterns of success as well as failed patterns.
Success Pattern Example: 200 day SMA oversold pattern means bullish
Failed Pattern Example: 200 day SMA oversold pattern seems bullish but is actually bearish
Sheet 7 — Fundamental Patterns (Quarterly & Yearly)
Predictions of the stocks achieving X% in Y days using patterns from Growth & Value investing strategies.
Predictions are separated by ASP and END.
Quarterly predictions:
Yearly predictions:
Sheets 8 & 9 — Manual Analysis Filters
Sheets are separated by technical patterns and fundamental data.
Technical sheet classifies stocks based on parameters of patterns used in sheet 4 and 5:
Fundamental sheet lists derived calculations of companies' financial reports:
These two sheets are not predictions, but pattern classifications and derived financial calculations to support deeper research.
Prediction data is shown as a value from 0–1 representing the probability of occurrence. Anything over 0.5 is a positive prediction, the closer the value is to 1 the stronger the prediction, for manual analysis values may exceed 0–1 because they are calculations not predictions.
Get this week’s AI‑driven stock prediction packet − $299.99
Instantly downloadable.
Speed up and enhance your approach to market research today.
Cut through the noise with structured data and experience the whole market like never before.
Currently the analysis is performed weekly and we update the data packet every Sunday.
As soon as your purchase is complete a Excel file will be available for download.
Absolutely, you can use the top 10 list and the predictions of the stock hitting X% Y days to identify a narrowed list and then apply the research you know or what you are learning to analyze the companies. As you build your expertise the the rest of the data will become more useful .
Our models are trained on historical price data and financial data for all stocks listed over the past 30+ years. The data you get are the predictions our system makes on stock prices and the most recent available financial data end of day Friday at market close.
The predictions serve as a guide to identify stocks worth further researching. A full guide will be on the first sheet of the downloadable Excel file.
No, these predictions are a probability-based designed to support your research. Despite how likely the outcome may seem a probability is not a guarantee and doing your own supporting research is necessary.
ASP mean At Some Point, it is used to indicate that the prediction will occur at some point within the mentioned period. End indicates the prediction will occur at the end of the mentioned period.
Not at all. you can upload the file to your google drive and use it google sheets completely free or which ever other tool you may find useable. If you prefer a different file version send us an email and we can help you out. Admin@aqranalytics.com
Definitely, this is the best way to make use to of the data. You can even copy the tables to other workbooks you may be using and apply your own formulas.
No, this is simply a way of filtering stocks at the end of the day. Your research is an extremely important part of making this data useful. These are all predictions on probability not guarantees.
Usually under 50 MB, the size varies as more stock data becomes available but as of now we have only seen the file stay around 25-30 MB.
The analysis is done on a 1day interval, so it won't help with intra-day action but, predictions made for a 5 day period can help you identify watchlists stocks that may be worth day trading for the coming week. For longer time windows the best case is for swing traders and semi long-term investors.
Research Analysis
