TradeSmith Prediction 2026 Event Featuring Trade Cycles System Revealed by Steadyincomeinvestments.com

Prediction 2026: Keith Kaplan & TradeSmith’s Green Day Event

TradeSmith, a financial technology and research firm, will host a live online event titled “Prediction 2026” on Tuesday, January 20 at 10:00 a.m. Eastern Time. The briefing will feature TradeSmith CEO Keith Kaplan, MarketWise CEO Dr. David Eifrig, and a panel of guest analysts.​

The event is designed to outline TradeSmith’s view of a potential major market shift in 2026, explain the firm’s Green Day “Trade Cycles” system, and discuss how this framework may be used to plan trades around historically significant calendar dates for thousands of U.S. stocks.

Registration is free through the official Prediction 2026 website here, and all registrants will receive access to a limited version of the Green Day tool ahead of the live session.​

Focus of the Event

The Prediction 2026 briefing will address three primary topics:

1. A data‑driven outlook for 2026 TradeSmith’s research team will share its analysis of long‑term market cycles and seasonality, including a view that 2026 may mark a notable turning point for U.S. equities. The discussion will highlight how historical patterns tied to policy and macroeconomic cycles have informed the firm’s internal expectations for volatility and sector rotation in the coming year.​
2. The Green Day / Trade Cycles system Kaplan will provide an overview of TradeSmith’s Trade Cycles, also known as the Green Day system, which uses historical market data to identify specific calendar dates—“green days”—when individual stocks have historically shown a tendency to advance over defined holding periods. According to prior public descriptions, the system analyzes more than 15 years of price history for over 5,000 publicly traded stocks, focusing on consistent seasonal patterns that have persisted through a variety of market conditions.​
3. Practical application for individual investors The panel will discuss ways investors might incorporate seasonality‑based tools into broader portfolio planning, including how to use a calendar interface to plan entries and exits and how to think about risk management when acting on statistically derived signals. The event will emphasize process and framework rather than personalized investment advice.​

About the Green Day / Trade Cycles System

TradeSmith introduced its Trade Cycles (Green Day) system in 2025 as an extension of the company’s existing suite of risk‑management and portfolio‑analytics tools. The system is built around the concept that some stocks exhibit recurring seasonal tendencies, such as stronger performance during particular periods of the year.​

Key characteristics of the system include:

• Historical pattern analysis: The software reviews decades of daily price data to identify start dates and holding windows where a stock has historically delivered positive returns with a high degree of consistency.​
• Green days and green zones: When a qualifying pattern is found, the system marks a “green day”—the recommended entry date—and a “green zone,” the approximate duration for which the pattern has historically held.​
• Calendar‑based interface: Users can search up to 5,000 tickers and view each stock’s upcoming green days on a calendar, making it easier to plan trades around those windows rather than reacting to news in real time.​​

During Prediction 2026, Kaplan will demonstrate how to use the lite version of this interface, explain the general methodology at a high level, and show how a rules‑based seasonal approach differs from traditional discretionary timing.​

Event Speakers and Participants

Prediction 2026 will be hosted by Keith Kaplan, CEO of TradeSmith. Kaplan has led the firm’s development of software tools that are designed to help individual investors analyze risk, define entry and exit rules, and track portfolios more systematically.

Joining Kaplan will be Dr. David Eifrig, CEO of MarketWise, TradeSmith’s parent company, who will moderate sections of the discussion and provide additional context on how the firm’s research units are approaching the 2026 market environment.​​

The program is also scheduled to feature guest appearances from analysts and editors associated with:

• InvestorPlace
• Stansberry Research
• Altimetry
• Chaikin Analytics​​

These participants will share their perspectives on sector leadership, risk conditions, and how systematic tools like Trade Cycles can complement fundamental and macro analysis. The contributions will be framed as educational insights rather than endorsements of specific securities.

Registration and Access Details

The Prediction 2026 briefing will be streamed online from TradeSmith’s private event website on Tuesday, January 20, 2026, at 10:00 a.m. ET.​

• Cost: There is no charge to attend the event.
• How to register: Interested participants can reserve a seat by entering an email address on the official registration page.​
• Pre‑event access: Upon registration, users receive immediate access to:
  • A lite version of the Trade Cycles / Green Day system, allowing them to look up green days for a selection of stocks.
  • A short video series explaining the concept of green days, the basics of the methodology, and how the system is intended to function in different market environments.​

Registrants are also provided with an overview document describing TradeSmith’s research focus for 2026 and how the firm expects to integrate its seasonal analysis with its existing risk‑management tools.​

Intended Audience and Objectives

Prediction 2026 is aimed at individual investors, traders, and financial professionals who are interested in data‑driven approaches to market timing and risk management. The event is informational in nature and seeks to:​

• Explain why TradeSmith believes 2026 may present atypical market conditions, based on long‑term cycle and seasonality research.
• Introduce attendees to the concept of calendar‑based trading windows and how a systematized view of seasonality can be used as a decision‑support tool.
• Demonstrate the functionality of the Green Day system without providing personalized investment recommendations or guarantees about future outcomes.​

TradeSmith emphasizes that participants remain responsible for their own investment decisions and that all tools discussed should be considered as one input among many in a comprehensive planning process.​

About TradeSmith

Founded in 2005 and headquartered in the Baltimore area, TradeSmith is a financial research and technology company that builds software tools to help investors analyze risk, manage portfolios, and make rules‑based decisions. The company’s platforms focus on volatility‑based trailing stops, asset‑allocation frameworks, and, more recently, seasonality‑driven trade‑timing systems such as Trade Cycles (Green Day).​

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