Signals by TradeSmith: Using AI To Double Your Portfolio?

Learn how Signals by TradeSmith system scans 2,467 stocks daily to find perfect trades with 90% historical success, and how you can use it to potentially double your portfolio.

The new way to invest in an AI‑driven market

Beginning April 29, a new form of financial AI could completely change how you decide where to put your money each morning.

According to TradeSmith CEO and fintech developer Keith Kaplan, this breakthrough can detect the day’s most profitable trades with up to 90% historical accuracy—before the opening bell, and before a single dollar is committed.

Over a 5‑year backtest that included bull and bear markets, three crashes, and two wars, TradeSmith’s newest system suggests that every 100,000 dollars allocated to this approach could have compounded into 1.3 million dollars. This doesn’t come from guessing headlines or chasing stories; it comes from using AI at a micro level to hunt for hidden “thumbprints” in market data that human eyes simply cannot see.

Instead of asking, “Is this company cheap?” or “What’s next for the economy?”, this system asks a different question: “What specific, repeatable data patterns have historically led to high‑probability, high‑return trades in this stock—regardless of the news?”

From one hedge fund’s secret to a retail AI engine

The core idea behind Signals by TradeSmith traces back to one of the most successful quantitative hedge funds in Wall Street history. A mathematician and former codebreaker hired 90 PhDs in math and physics, ignored traditional Wall Street wisdom, and focused on one thing: detecting obscure but statistically powerful patterns in noisy financial data.

The result was a firm that outperformed Warren Buffett by more than 200 times, reportedly turning every 10,000 dollars into 900 million dollars while almost never having a losing year, through five bull markets, five bear markets, three crashes, and ten wars. He did it by finding “signals” in the data—tiny fingerprints that consistently preceded powerful moves in individual stocks.

TradeSmith’s new system adapts that philosophy for everyday investors, but with modern AI and an infrastructure that has already cost tens of millions of dollars to build. TradeSmith’s technologies help more than 129,000 people in 86 countries track roughly 29 billion dollars, and its algorithms have been featured by outlets like CNN, CNBC, Forbes, The Economist, and The Wall Street Journal.

What a “thumbprint” really is—and why it matters

The building block of this approach is the thumbprint: a unique, often bizarre combination of factors that, when they line up, have historically produced a high‑probability “perfect trade” in a specific stock.

For example, the system highlighted an obscure AI‑related stock, Qnity Electronics, on January 28, 2026. The AI ignored the company’s story, fundamentals, and headlines; it simply detected that a specific thumbprint had appeared—a rare pattern that had showed up four times in the last decade and resulted in a profitable jump 100% of the time.

In that instance, the thumbprint pointed to an expected 22% gain over 35 days, and the actual trade delivered around 26% in 30 days—equivalent to about a 316% annualized gain if you could repeatedly find trades of that caliber. In practice, the system can recommend either a straightforward stock trade or an options “boost” that, in Qnity’s case, could have turned that same setup into a 311% gain in 30 days using a call option.

Thumbprints can involve inputs no human analyst would ever consider combining. In one example, the system found a profitable pattern in Advanced Micro Devices when three conditions lined up: a low Bollinger Bandwidth, the stock’s Relative Strength Index dropping under 30, and strong sales of a particular video game called Starfield. Historically, when those three ingredients lined up, AMD produced an 8.4% gain in 14 days on average, with a 95% win rate—regardless of the news cycle. In a live beta example, the system flagged a trade that delivered 8.1% in 48 hours, the equivalent of roughly a 1,478% annualized gain.

AI on a micro level: patterns humans cannot see

To find these thumbprints, TradeSmith’s engine doesn’t just look at chart patterns or simple ratios. For each of 2,467 stocks, it ingests ten years of price history and thousands of inputs, from classic technical indicators to macro variables to unusual real‑world metrics.

Examples from the research include:

• Combining a stock’s relative strength measured over a nonstandard 2‑period window, its position relative to the 200‑day moving average, and computer sales in Taiwan to identify a high‑probability setup in Nvidia.

• Using combinations like MACD, Commodity Channel Index (CCI), and even how many people are riding a particular bus route in New York City to detect a profitable move in Uber.

• Linking Bollinger Bands, intraday highs and lows, and visits to Disney’s Space Mountain to a repeatable signal in Disney stock that has historically yielded profitable trades 85% of the time over 9 days.

These relationships are so counterintuitive that they would be dismissed outright in a traditional research meeting. But AI can sift through millions of permutations and ask a simple question: “Has this exact combination of inputs preceded a profitable move at least 90% of the time over the past decade?”

When the system answers yes, it labels that configuration a signal or thumbprint and stores it. Over time, it has built a library of more than 30,000 bullish signals, with the expectation that the database will eventually grow to over 1,000,000.

Signals: the next evolution of TradeSmith’s AI work

TradeSmith isn’t starting from scratch. Before Signals, the firm launched successful systems based on seasonal patterns and predictive AI pricing.

In 2025 alone, a seasonality‑based approach booked multiple triple‑digit winners on official recommendations, including gains of 111% in 10 days on a toy company during the tariff crash, 198% in 5 days on a semiconductor name, and 218% in 30 days on a restaurant stock. Another AI price‑projection system has achieved backtested accuracy of around 85% in forecasting future prices for more than 2,300 stocks, with a long list of documented short‑term winners.

The Signals system is designed as the culmination of this work. It uses:

• Seasonality and macro cycles to understand when volatility and “Inverted Jenny”‑style anomalies are likely to surface.

• Predictive AI models to rank which signals are most likely to perform best under current conditions.

• TradeSmith’s longstanding position sizing and risk‑management algorithms (originally created to optimize portfolio allocations and used by tens of thousands of users worldwide).

The result is a framework that doesn’t just say, “Here are some patterns,” but instead answers: “Here are the three to five highest quality trades right now, how long they usually last, the historical win rate, and how much you should consider allocating based on volatility.”

Real‑world examples: from Walmart to little‑known pharma stocks

Because every stock behaves differently, each develops its own unique set of signals over time. TradeSmith’s research includes examples across blue chips, smaller names, and out‑of‑favor sectors.

• Walmart: The system discovered that when Walmart reverses direction, hits a higher high and a lower low the next day, then closes down, this rare pattern has occurred only 24 times in 10 years. Historically, that signal preceded a winning trade roughly 92% of the time, across both bull markets and brutal sell‑offs.

• AbbVie: For this pharma stock, one signal involves the stock closing below its 50‑day moving average while MACD, RSI, and CCI are all positive. When that configuration appears, the system has historically projected a 4.85% gain in 15 days with 100% historical accuracy in its study period—and in one example, the trade could have been boosted to a 659% options gain in 31 days.

• SanDisk: TradeSmith’s system flagged SanDisk on January 2, 2026 when it detected that the stock was trading above its 65‑day average, its directional index was at least 25, and sales of the Nintendo Switch were strong in Japan. That signal had fired 132 times since 2016 and historically produced an 8% gain in 11 days about 85% of the time; in the January 2026 instance it delivered a 184% boosted options gain in 31 days.

To a traditional analyst, these inputs feel random. To a learning system that has evaluated 526 million potential trades a year, they are simply statistical fingerprints of opportunity.

Bearish signals: knowing what to avoid—or short

Signals are not just about upside. The same infrastructure that detects bullish thumbprints can find high‑probability bearish patterns—signals that a stock is about to enter a historically reliable decline.

For instance, in Kenvue, a consumer‑staples play, the system identified a signal involving the 14‑day RSI level, its reading 26 days earlier, and where the closing price sat relative to that level. When those three conditions aligned, the stock was historically on the verge of a notable move down, with about a 91% success rate. In one 2025 example, this bearish signal appeared shortly after the company announced an AI partnership that sounded bullish on the surface; the stock then fell roughly 9% in 9 days, even during a strong market.

TradeSmith’s team has cataloged similar bearish patterns across multiple widely held names. That’s why a dedicated report, “Top 10 Stocks to Avoid in 2026,” is included with Signals by TradeSmith: these are stocks the system expects to be hit by multiple bearish signals this year, where the historical odds favor avoiding or even betting against them instead of buying the dip.

Why AI can see what humans miss

The concept of signals is not unique to markets; it’s how AI is quietly transforming other fields. In medicine, AI has learned to see impending heart attacks or early‑stage tumors in EKGs and mammograms that look normal to trained physicians. One case in the material describes a 67‑year‑old man whose EKG looked fine until an AI model flagged the characteristic pattern of an imminent heart attack, prompting emergency surgery that saved his life.

Similarly, meteorologists use AI‑enhanced radar to detect “supercell” signatures—rare atmospheric alignments that precede devastating tornadoes. In the infamous Greensburg, Kansas event, a specific pattern was detected roughly 39 minutes before an F‑5 tornado destroyed much of the town, dramatically reducing fatalities versus what would have happened decades earlier.

TradeSmith’s system applies this same concept to the market. Instead of scanning clouds or medical images, it scans interest rates, volatility indices, price patterns, volume, sector moves, and thousands of quirky data points to identify the micro‑signals that precede powerful price moves.

The team likens it to the language patterns that ultimately unmasked the Unabomber: a unique stylistic “thumbprint” embedded in a 35,000‑word manifesto, recognized only when someone who knew him saw the text. Today, large language models like those behind ChatGPT use that same pattern‑recognition principle at scale; TradeSmith applies it to numbers instead of words.

How Signals by TradeSmith works day to day

Signals by TradeSmith is designed as both a research service and a powerful online interface that puts this micro‑level AI into your hands. It’s not just a newsletter; it’s a live system.

As a member, you get three core pillars:

1. Signals Master Portfolio

   • A rotational model portfolio holding only the three to five highest‑ranked stocks at any given time, each chosen from 2,467 candidates based on Quality Score (an AI‑driven ranking built on win rate, average gain, and signal behavior in current market conditions).

   • About one new trade per week, swapping in the strongest setup and closing the weakest, with recommended position sizing calculated by TradeSmith’s flagship risk‑management algorithm.

   • The goal: to potentially double a portfolio over 12 months by focusing solely on the strongest, highest‑probability trades instead of diversifying across dozens of average ideas.

2. Daily Top Signals Email

   • Every market morning, an email summarizing the day’s top bullish and bearish signals across the system, roughly 90 minutes before the opening bell.

   • Each signal comes with historical success rate, average gain, and estimated holding period, plus whether there is an associated options “boost” opportunity.

3. Trade Signals System Interface

   • A web‑based dashboard where you can type in any of 2,467 tickers and instantly see the best signal currently active for that stock.

   • For each signal, you can view success rate, average return, typical hold time, the number of times it has fired over 1, 5, and 10 years, and a detailed history of every past trade the signal would have generated.

   • A Trade Signal Quality score from 1 to 100 to help you quickly judge whether this is a signal to act on now or one to watch.

Signals are grouped into six categories to make them easier to interpret, and if multiple signals are active in the same stock on the same day, the interface automatically surfaces the highest‑quality one at the top while still letting you explore more aggressive alternatives.

The “boost” feature: magnifying each gain with options

While the core strategy can be executed using stocks alone, the TradeSmith team has built a “boost” layer to help aggressive traders potentially magnify each winning signal into a much larger gain. The concept is straightforward: if the system has high confidence (90%–100% historical success) that a stock is about to move in a specific direction over a defined timeframe, a carefully chosen option can turbocharge that move.

Examples from the beta testing and related systems include:

• A 126% gain in 72 hours on Caterpillar using a boosted trade.

• A 1,082% gain in 33 days on Generac, and triple‑digit boosts on names like HCA Healthcare and Lockheed Martin.

• Multiple short‑term boosted wins in volatile markets like 2020, where combining signals with options allowed model portfolios to double money repeatedly even as broader indices swung wildly.

Keith Kaplan emphasizes that options are optional—members can stick to stock trades and still see powerful compounding potential. But for those who want to squeeze several times more out of each high‑probability setup, the service provides a specific call or put recommendation alongside each stock trade, together with risk‑management guidance.

Risk management and signal “decay”

Any strategy built on patterns has to reckon with a key reality: once too many people discover a signal, its edge tends to shrink, a phenomenon known as “signal decay.”

The hedge fund that pioneered this style of trading dealt with this by measuring signal performance constantly and killing any signal that stopped working, regardless of the theory behind it. TradeSmith takes a similar approach.

• The AI continually monitors each signal’s performance under current market conditions.

• If a signal’s win rate or average gain slips below strict thresholds, it is downgraded or removed from active use.

• New signals are constantly discovered and evaluated, so the overall database evolves with the market.

In addition, TradeSmith’s existing portfolio‑optimization engine, which has historically improved returns by fine‑tuning position sizes and exit points, is layered on top of the Signals Master Portfolio to minimize drawdowns and manage volatility. This means Signals is not just about finding entries; it is also about choosing when and how to exit, using one of 13 AI‑informed exit rules.

Why 2026 is the ideal window for signals trading

The timing of Signals by TradeSmith isn’t accidental. The firm’s internal seasonality research and macro algorithms suggest that 2026 is likely to be a volatile, uneven year—fertile ground for short‑term pattern‑based strategies but potentially frustrating for traditional buy‑and‑hold investors.

Two key factors stand out in the material:

• Presidential Cycle: Historical data since 1933 show that the second year of a U.S. president’s term often coincides with significant market declines, with several past instances of double‑digit drops in this phase.

• Seasonal “Green Zone” Ending April 29: TradeSmith’s models highlight that a favorable seasonal window for the S&P 500, accurate about 87% of the time over 15 years, ends on April 29.

At the same time, AI itself is driving a powerful secular melt‑up reminiscent of the late‑1990s dot‑com boom, with TradeSmith’s indicators having been bullish on this broader trend since March 2024. The message is that long‑term investors may still benefit from the AI bull market, but the path is likely to be choppy, with multiple large swings up and down.

In that environment, short‑term signals trading—using AI to surf the waves instead of simply riding the tide—is positioned as a critical edge.

What you receive as a Signals by TradeSmith member

The charter offer for Signals by TradeSmith is structured as a comprehensive package combining research, tools, education, and additional AI‑driven systems. According to the material, the full package has an internal value of over 16,000 dollars, but is being offered initially at a steep discount.

Here’s what is included:

1. One Year of Signals by TradeSmith (Research Service)

   • Weekly Signals Master Portfolio with 3–5 active positions and about one new trade per week.

   • Stock and bonus options recommendations for each signal, with at least 90% historical accuracy targeted in the selection process.

   • Integration of TradeSmith’s risk‑allocation algorithm to provide suggested portfolio weightings.

2. Daily “Today’s Top Signals” Emails

   • Pre‑open summaries of the top five bullish and top five bearish signals across all 2,467 tracked stocks.

3. Full Access to the Trade Signals System Interface

   • Ability to search any supported ticker and view its live signals, statistics, and history.

   • Quality scores, categories, and drill‑down trade histories for each signal.

   • A new “signal hunting” tool that lets advanced users search for and define their own signals—a feature the team says could, by itself, justify a high‑ticket product.

4. Alpha Signals – One Year Free (3,000‑Dollar Value)

   • Access to a prototype signals‑based strategy that reportedly posted a 100% success rate on closed positions in 2025, including through that year’s crash and rally.

5. Educational Materials and Master Class

   • A comprehensive handbook titled “Trade Signals: The AI Secret to Doubling Your Portfolio Each Year,” explaining how the system works and how to use it.

   • A 9‑part Trade Signals Master Class, walking you through the interface, signal logic, and options boosting in plain English.

6. Strategic Research Bonuses

   • Roadmap 2026: A calendar‑style outline of the major market moves TradeSmith expects this year based on seasonality algorithms, including size estimates and historical accuracy metrics.

   • Top 10 Stocks to Avoid in 2026: A list of widely held stocks with strong bearish signal histories this year.

   • Blue Chip Signals: How to Profit on the Most Popular Companies, Over and Over Again: A curated set of signals focused on major, high‑quality names.

   • Top 10 Signal Stocks: TradeSmith’s curated basket of the best open buy recommendations across partner research publishers like InvestorPlace, Stansberry Research, and the Oxford Club, filtered through the Signals system.

7. Guarantee and Pricing

   • Full retail pricing for Signals by TradeSmith is set at 5,000 dollars per year, but the charter launch halves this to roughly 2,500 dollars.

   • The offer is backed by a 100% customer satisfaction guarantee supported jointly by TradeSmith and several partner firms, with details provided on the order page.

Who Signals by TradeSmith is designed for

Reading between the lines of the material, the ideal member profile is someone who:

• Is comfortable placing their own trades and wants to upgrade from gut‑feel or story‑driven picks to a systematic, quantitative edge.

• Is willing to think in weeks rather than years, focusing on repeatable short‑term trades instead of relying exclusively on long holding periods.

• Wants the power of hedge‑fund‑style AI analysis without having to commit millions to a fund and pay 2‑and‑20‑style fees.

The service is also positioned as a tool to vet recommendations from other newsletters. If you follow any external stock tip, the team suggests running the ticker through the Signals system first to see whether a bullish or bearish signal is active, and whether history supports acting now or waiting.

Getting started before April 29

The launch narrative repeatedly points to April 29 as a critical inflection date, when a seasonal “green zone” ends and a new phase of AI‑driven volatility is expected to begin. The implication is clear: the sooner you are using Signals by TradeSmith before that date, the more likely you are to benefit from the first wave of rare, high‑magnitude signals that such volatility tends to surface.

As a charter member, you are invited to:

• Activate access to the Signals Master Portfolio and Trade Signals system.

• Begin following the weekly trades and daily top signals.

• Review Roadmap 2026 to see where the team expects major twists and turns, and align your trading calendar accordingly.

The offer is explicitly described as a limited‑time charter deal with pricing and bundles that will not be repeated once the initial launch window closes.

A final word on the “signal advantage”

In the 1970s, few people imagined that computers could beat world champions at chess; today, AI has not only surpassed human grandmasters but has taught itself entirely new styles of play. In medicine, AI is already 580% better than human radiologists at some pattern‑recognition tasks and 80% more accurate than human inspectors at spotting electronics defects.

Signals by TradeSmith extends that revolution into personal investing. Instead of relying on opinions, hunches, or manual chart reading, it lets you tap into an AI engine that has been trained to find the “Inverted Jenny” anomalies in stock data—rare thumbprints that historically produce large, repeatable gains with clearly defined probabilities.

In a world where volatility is rising and information overload is the norm, having a system that can scan 10.4 million potential trades a day and distill them down to the three to five best opportunities each week is a serious edge. And that is exactly what Signals by TradeSmith is built to deliver.

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