Recording Available: How to Build Seasonal Strategies with StrategyQuant and AlgoCloud

If you missed our recent live session — or want to revisit it — you can now watch the full recording.
In this webinar, we walk you step-by-step through the process of turning raw historical data into a fully functional, automated trading strategy based on seasonal market patterns.

In the video, you’ll learn:

🔍 How to perform effective data research to uncover seasonality
🛠️ How to build seasonal strategies from scratch in StrategyQuant or AlgoCloud
💼 How to trade seasonal strategies on stocks and ETFs using AlgoCloud
⚖️ The strengths and weaknesses of seasonal strategies — when they work and when they don’t

This session is perfect for traders who want to:

Add systematic, seasonality-based strategies to their portfolio
See real-life examples of SQX and AlgoCloud in seasonal trading
Learn step-by-step without unnecessary fluff or complexity

Watch the full recording here:

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AlgoCloud.com is a technology platform and publisher, not a registered broker-dealer or registered investment adviser, and does not provide investment advice.
Investing involves risk and investments may lose value. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not indicative of future results. Seek appropriate financial, taxation and legal advice before making any investments.

Risk Disclosure:
Trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure:
Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Risk Disclosure:
Broker disclaimer:
Interactive Brokers, Alpaca, XTB brokers are not affiliated with AlgoCloud.com and do not endorse or recommend any information or advice provided by AlgoCloud.com