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Quantitative market analysis courses

​Learn how to measure and understand financial markets through data, statistics and quantitative models — and build a rigorous method of analysis that tells evidence, probability and mere perception apart.

Theory and practice go hand in hand on our quantitative dashboard, included in our training courses.

MARKET DATA

Over 150,000 global markets at your disposal, with historical depth of up to two centuries.

Access to the StockStatistics dashboard is available alongside the course — the same one used in the lessons. It holds the historical market data and the tools to measure, backtest and independently verify what is taught in class.

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The built-in AI generates the reports and helps you read the results, an extra layer of support while you get familiar with the tools.

TOOLS

Seasonality, cycles, correlations, event studies, options, breadth, ETF flows, macro data and much more.

BACKTESTING

Every technique covered in class can be verified against historical data.

A unique opportunity to learn how to study markets from the person who built an entire platform.

AI REPORTS

​Automatic generation of full reports on 150,000 markets, with support in reading the metrics.

Ancora 1

Our Courses

Duration and syllabus are agreed according to the student's starting level. Video lessons remain available in your personal area for 12 months from enrolment; live sessions are included in the courses that provide them, or can be purchased separately.

Seasonality + Software

How to measure a market's seasonality, how to interpret it statistically, and what its limits are. Includes hands-on use of the dashboard tools.

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  • Descriptive Statistics and Bias

  • Building and reading a Backtest

  • Financial Instruments and Risk Profiles

  • Macroeconomic Event Studies

  • And much more…

01

15 hours      -      from €1499

Quantitative Cyclical Analysis

​Authentic cyclical analysis, derived from W. D. Gann's Law of Vibration and approached quantitatively and statistically: how annual projections are built and how every cycle is tested against historical data.

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  • Law of Vibration and Gann Cycles

  • Mathematical identification of cycles

  • Backtesting and its limits

02

20 - 50 hours      -     price on request

Timing Solution Course

A complete overview of every module in Timing Solution Software. The course is also available in a version that combines it with Gann Theory.

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  • Primo

  • Advanced

  • Terra Incognita

03

Duration depends on version     -      from €1999

Intraday Course

A quantitative approach to intraday trading: statistics, patterns and daily biases, combined with our proprietary trend indicator (Price/Time Abis Trends).

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  • MT4 Indicators

  • Intraday Bias

  • Statistics, Correlations & Patterns

  • Trading Psychology & Strategies

  • Money Management

04

20 - 50 hours      -     price on request

Instructor

Nicola Abis

Not sure where to start?

Tell us which topics you're interested in and your starting level: we'll send you the full syllabus and a quote.

Onda digitale astratta

Contact us

Type of request
Dashboard
Courses
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DISCLAIMER

 

The materials provided on this website are for informational and educational purposes only and should not be construed as investment advice, financial guidance, or any form of recommendation. The information contained on this website does not constitute a solicitation, offer, or recommendation to buy or sell any security, financial instrument, or asset to any person or entity in any jurisdiction. Users are solely responsible for their investment decisions. ​Trading and investing in financial markets involve substantial risk, including the potential loss of your entire investment. Past performance is not indicative of future results, and there is no guarantee that the information, analyses, or strategies provided on this website will result in profitable trading or investment outcomes. Market conditions, economic factors, and individual circumstances can all influence investment results, and these can vary widely. Additionally, the generated statistics are based on market data obtained from third-party providers. Stockstatistics.ai is committed to sourcing data from the best providers; however, it cannot be held responsible for any errors in the data provided. ​Stockstatistics.ai and operators disclaim any and all liability for any direct or indirect loss or damage arising out of or in connection with the use of this website or any materials contained herein. This includes, but is not limited to, any loss of profit or any other financial loss, which may arise from reliance on information provided on this website. Investing in financial markets requires careful consideration and should only be undertaken after fully understanding the associated risks. This disclaimer is subject to change, and it is the responsibility of the user to review it periodically for any updates.

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