Discover in-depth Trade Cycles review: Explore TradeSmith’s innovative seasonal trading patterns by Keith Kaplan for potential market gains with 83% accuracy.
Trade Cycles and Seasonal Trading: What Is It?
In the dynamic world of stock market investing, innovative strategies continually emerge to help traders navigate volatility and capitalize on predictable patterns. One such breakthrough is the Trade Cycles system developed by TradeSmith under the leadership of CEO Keith Kaplan.
This Trade Cycles review delves into the intricacies of the system, focusing on its core concept of seasonal trades patterns, often referred to as “green days.” We’ll explore how this system promises to forecast significant stock jumps with remarkable backtested accuracy, potentially allowing investors to double their portfolios without long-term risk exposure.
Trade Cycles represents what Kaplan describes as the most significant advancement in TradeSmith’s 21-year history. The system leverages historical data to identify specific calendar dates when certain stocks historically perform well, regardless of broader market conditions. This approach challenges traditional buy-and-hold strategies, especially in volatile years like 2025 and the anticipated 2026 market environment. By pinpointing “green zones”—periods of bullish seasonality—Trade Cycles aims to provide traders with high-probability opportunities, backed by an 83% success rate in backtests spanning 33 years.
The foundation of Trade Cycles lies in seasonality, a concept rooted in repetitive market cycles driven by human emotions and institutional behaviors. Unlike conventional analysis that focuses on earnings, valuations, or news events, this system ignores those factors over short terms and instead emphasizes “when” stocks tend to rise.
Kaplan’s team, comprising 74 researchers and developers with an $8 million annual budget, ran over 2 billion data loops to uncover these patterns across 5,000 stocks. The result is a tool that not only identifies optimal buy dates but also suggests ways to amplify gains through options, turning modest stock increases into substantial profits.
This review will break down the key elements of Trade Cycles, including its methodology, historical performance examples, endorsements from Wall Street legends, and the suite of bonuses offered in the promotional offer (valid until 1/27 midnight -!!!).
We’ll examine how it performed during market crashes like 2022 and 2025’s tariff panic, and why Kaplan predicts January 28, 2026, as a pivotal date for heightened volatility. By the end, readers will have a comprehensive understanding of whether Trade Cycles could be a game-changer for their investment approach.
Who Is Keith Kaplan and What Is TradeSmith?
Keith Kaplan, CEO of TradeSmith, is a central figure in the Trade Cycles narrative. As a data scientist and financial technology innovator, Kaplan has built a reputation for creating algorithms that optimize portfolio performance. TradeSmith, the company he leads, is a financial technology firm profiled by outlets like The Economist, with 134,000 members tracking $29 billion in assets. The firm’s software has appeared on CNN, CNBC, Forbes, and The Wall Street Journal, thanks to its ability to pinpoint buy and sell signals, allocate positions, and enhance returns.
Kaplan’s journey with Trade Cycles began with observations of peculiar stock behaviors, such as Nvidia’s consistent rises around October 24. Skeptical at first, he tasked his team with analyzing 33 years of data from 1991 onward—the start of the “modern stock era.” This period encompasses major events like the Gulf War, dot-com bubble, 9/11, 2008 financial crisis, COVID-19 pandemic, 2022 crash, and 2025 tariff disruptions. The goal was to refute the Efficient Market Hypothesis, which posits that markets are always efficiently priced and unbeatable consistently.
TradeSmith’s platform already includes tools like Volatility Quotient (VQ) for measuring stock volatility and optimizing portfolios. For instance, backtests showed it could turn a retiree’s $100,000 loss into a $59,000 gain or amplify a $46,271 profit to $433,806.
Testimonials from users like Frank K., who achieved millionaire status, underscore the platform’s impact. Trade Cycles elevates this by adding seasonality as the “secret ingredient,” similar to how Google revolutionized search with backlinks.
Kaplan emphasizes that Trade Cycles isn’t about long-term holding but short-term trades in “green zones,” where stocks historically rise with high probability. This strategy suits 2026’s predicted chaos, driven by the Presidential Cycle—a pattern since 1933 showing bear markets in the second year of a president’s term. With 70% likelihood of a downturn, Kaplan argues traditional investing won’t suffice, but seasonal trades can thrive in volatility.
Understanding Seasonal Trades Patterns: The “Green Day” Phenomenon
At the heart of Trade Cycles is the “green day” concept—specific calendar dates when stocks enter bullish periods, or “green zones,” with predictable gains. These aren’t tied to news like earnings or product launches but to underlying cycles influenced by institutional actions, emotional trading, and seasonal effects like the January Effect, where stocks rise due to tax-loss harvesting.
For example, Target’s green day is June 30, historically rising 5.9% over 31 days with 100% accuracy over 15 years. Annualized, that’s equivalent to 101% gains. Parker-Hannifin on October 20 has 100% accuracy, leading to a 194% options-boosted gain in 17 days in 2025. KLA Corp. shares the same date, yielding 107% in 10 days. These patterns persist through bull markets, bears, pandemics, and wars because seasonality operates in a vacuum, unaffected by macro events.
The system identifies green days by analyzing billions of data points, testing variables like RSI and moving averages, but ultimately focusing on seasonality as the key variable. Backtests require at least 300 positive results for statistical significance, ensuring 83% overall accuracy. Dates can shift slightly yearly, so the system updates dynamically, recalibrating every 9 months.
Examples abound: Nvidia’s October 24 green day averaged 7.8% in 15 days (120% annualized), boosted to 455% via options. Allient’s October 28 zone averaged 22% in 60 days (125% annualized), amplified to 756% in 18 days. Toro’s October 2 zone (93% accuracy) boosted to 748% in 49 days. Emerson Electric’s October 31 (86% accuracy) to 692% in 16 days.
Seasonality traces back to 19th-century farmer Samuel Benner, who predicted panics using cycles in commodity prices. Modern quant funds like Renaissance (2.1 million% return since inception) use similar data-driven approaches. Trade Cycles democratizes this for retail investors, offering an online calendar for S&P 500 stocks, weekly recommendations (4-5 trades/month), and options boosts for 5-10x gains.
Historical Performance and Backtests of Trade Cycles
Trade Cycles’ credibility stems from rigorous backtesting across 33 years, covering diverse market conditions. A model portfolio trading S&P 500 green zones turned $10,000 into $85,700 over 18 years, outperforming the S&P by 99%. During 2022’s crash, it averaged 5.96% per trade in 18 days (120% annualized), with options like 617% on Entegris in 43 days.
In 2025’s tariff crash, recommendations included Atmos Energy (February 28 green day, 100% accuracy, 5.58% gain, boosted 6x) and Hasbro (April 14, 100% accuracy, 13.1% in 10 days, 111% boosted). Overall, 13 doubles that year, including 247% on Intuit in 15 days, 129% on Alexandria Real Estate in 14 days.
Even in 2008, Royal Caribbean’s July 8 green day (87% accuracy) rose amid recession. 2020’s rally saw Caesars Entertainment’s 61% in 30 days boosted to 358% in 41 days. Broadcom’s 40% in 31 days to 782% in 45 days. Netflix’s 32% in 30 days to 887% in 28 days.
The Seasonal Advantage Portfolio, combining seasonality with Mean Variance Optimization, crushed the Nasdaq 4:1 in an 8-year backtest ($10,000 to $140,000). In July 2022, it averaged 16.9% while markets fell. This rotating 5-stock monthly portfolio balances risk/reward, ignoring company fundamentals for optimal green zones.
Testimonials reflect real-world success: John W.’s 225% in 3 days, Dale M.’s $20,234 in first month, Denny M.’s $14,182 total. While not typical, they highlight potential in volatile markets.
Endorsements from Wall Street Legends
Trade Cycles has garnered praise from industry heavyweights, validating its approach.
Louis Navellier, $700 million manager with 47 years experience, endorses it for boosting his returns. Backtests show 8 doubles in one year combining systems, like 346% on Argan in 24 days. Navellier calls it “among the most innovative work” he’s seen.
Whitney Tilson, “The Prophet” by CNBC, saw Northrop Grumman’s 71% in 4 years boosted to 243% in 40 days on January 28 green day.
Marc Chaikin, whose indicator is on every Bloomberg terminal, had StoneCo’s 14.9% in 83 days boosted to 121% in 20 days on January 17 green day.
These endorsements underscore Trade Cycles’ edge, turning good picks into extraordinary gains by timing entries precisely.
How Trade Cycles Works: Tools and Features
Trade Cycles is a subscription service ($5,000/year, 50% off to $2,500) delivering weekly updates, 4-5 monthly trades from 500-1,000 annual opportunities, focusing on top 50 high-quality stocks. Each includes stock and optional options play.
The online calendar displays S&P 500 green/red zones monthly, with backtested 857% return since 2006. The system allows ticker searches, filtering by success rate, gain size, etc.
Options “boost” uses call options for leveraged upside, risking only premium. Master Class tutorial covers setup, structure for lower risk.
Bonuses include:
- Trade Cycles system (1 year free, $5,000 value): View zones for 5,000 stocks.
- Seasonal Advantage Portfolio (free year): 5-stock monthly rotation.
- Navellier Edge Portfolio ($2,000 value): Monthly A/B-graded stocks in green zones.
- “Green Zone” Blue Chips: 5 blue chips with multiple zones.
- Top 10 “Green Zone” Stocks: Curated from InvestorPlace, Stansberry, Oxford Club.
- Top 10 Stocks to Avoid: Red zone-heavy stocks.
- Roadmap 2026: Sector outlooks.
- 90-day satisfaction guarantee: Full credit refund.
>> Get Your Trade Cycles Discount Here
Predictions for 2026 and January 28 Event
Kaplan predicts January 28, 2026, marks a volatility surge as S&P’s green zone ends (87% accuracy), coinciding with earnings from Tesla, Amazon, etc. Presidential Cycle suggests 70% bear market chance in year 2.
Yet, Melt Up indicator signals ongoing bull, akin to 1997 dot-com era, with AI dividing winners/losers. Trade Cycles thrives here, avoiding sideways moves in overvalued stocks.
Trade Cycles Review: Conclusion
Trade Cycles offers a data-driven alternative to traditional investing, ideal for 2026’s volatility. With SEO keywords like seasonal trades patterns, green days, and Keith Kaplan strategy, this review positions it as a must-consider tool.
In summary, Trade Cycles revolutionizes trading by focusing on “when” over “why,” backed by decades of data. For investors seeking high-probability, short-term gains, it’s a compelling option.
Start Your Trade Cycles journey here
FAQ: Trade Cycles and Seasonal Trading Patterns
What is Trade Cycles by TradeSmith?
Trade Cycles is an innovative trading system developed by TradeSmith, led by CEO Keith Kaplan. It identifies “green days”—specific calendar dates when stocks historically rise with high probability—based on 33 years of backtested data across 5,000 stocks. The system focuses on seasonal patterns, allowing users to potentially double their portfolios through short-term trades, with an 83% backtested accuracy, without long-term risk exposure.
Who is Keith Kaplan and what is his role in Trade Cycles?
Keith Kaplan is the CEO of TradeSmith, a financial technology company with 134,000 members tracking $29 billion in assets. With a background in data science, Kaplan pioneered Trade Cycles as the firm’s biggest breakthrough in 21 years. He emphasizes using algorithms to predict stock jumps “to the day,” drawing from extensive testing to challenge traditional buy-and-hold strategies, especially in volatile markets like 2026.
How do seasonal trades patterns work in Trade Cycles?
Seasonal trades patterns, or “green zones,” are repetitive cycles in stock prices driven by human emotions and institutional behaviors, uncovered through billions of data analyses. For example, a stock like Nvidia has a green day on October 24, historically rising 7.8% over 15 days with 100% accuracy. The system ignores earnings or news, focusing on “when” stocks rise, and offers options to boost gains 5-10 times.
What is the backtested accuracy and performance of Trade Cycles?
Trade Cycles boasts an 83% backtested success rate over 33 years, including crashes like 2008, 2020, and 2025’s tariff panic. A model portfolio turned $10,000 into $85,700 over 18 years, outperforming the S&P 500 by 99%. In 2025, it delivered 13 doubles, such as 247% on Intuit in 15 days, thriving in bull or bear markets.
How can I get started with Trade Cycles and what bonuses are included?
To start, subscribe to Trade Cycles for $2,500 (50% off from $5,000) via the promotional offer, gaining weekly recommendations, an S&P 500 calendar, and the system for one year. Bonuses include the Seasonal Advantage Portfolio, Navellier Edge Portfolio, a Master Class on options, reports like “Green Zone Blue Chips,” and a 90-day satisfaction guarantee with full credit refund.
