How to Match Wall Street's AI Firepower By Jason Bodner, Editor, Quantum Edge Pro My first steps into the investment world were unusual. Most people get business degrees and start working at banks, brokerages, or as pit traders. I began my career as a concert musician. However, I quickly realized that most people living in New York City have a hard time scraping a living together as a musician. I did too. So I turned to my other talent, numbers, to make ends meet. I was fortunate to get my break with an unusual Wall Street institution… And that led to a breakthrough discovery that has served my readers and me incredibly well. Cantor Fitzgerald wasn’t a household name like Charles Schwab or Bank of America. It didn’t have millions of clients. But it was unique. Cantor was a broker to the brokers – it managed the specialized trading needs of the BIG institutions on Wall Street, and in Europe and Asia. And I personally executed countless of their trades. This experience gave me my first shot at trading. And more importantly, I got to use the firm’s computerized trading system. I could see order numbers, account numbers, and transactions from these huge banks hitting the stock market in real time. I could literally see billions of dollars flowing from account to account. Four years later, after a ton of hard work and proving myself, I was made Head of North American Equity Derivatives. This gave me access to even more data. That’s when I started realizing something incredible, which is even more relevant right now than it was 20 years ago… Our clients weren’t using connections and balance sheets to make investment decisions. Recommended Link | | After spotting Nvidia before it soared as high as 3,100%... Super Micro before it jumped 1,300%... and Broadcom before it jumped 2,113%... Wall Street legend Louis Navellier has become something of an AI evangelist. That’s why his recent market alert is so controversial… In a stunning about-face, the man Forbes called “King of the Quants” just went public with a shocking AI warning. It concerns a troubling phenomenon his quant algorithm keeps seeing in AI stocks… One that he’s convinced will blindside millions of unprepared investors in the coming weeks. If you have ANY money in the markets right now, you owe it to yourself to watch his urgent alert. Go here now to see the video. | | | AI Is Nothing New to Wall Street These firms were using an early, primitive version of the AI algorithms we see today. They used advanced computer code that crunches millions of data points per second, makes programmed, constantly evolving decisions based on that data… and executes trades instantly. Those algorithms gave the big banks an extreme advantage over the little guys. They could trade smarter and far more quickly than any individual investor. But what was happening then is nothing compared to what we see today. Independent reports from Morgan Stanley and JPMorgan Chase estimate that Wall Street institutions account for 90% of daily trades in the stock market, with an estimated 80% of those trades (or more) executed by machines – that is, algorithmic AI. We’re competing against trillion-dollar institutions that are now armed with the smartest, fastest, most powerful AIs in the world. Individual investors are now at an extreme disadvantage, but they don’t have to be. Here’s how you can level the playing field and even beat Wall Street at its own game… Ride the Big Money Wave Research in 2024 showed the top 500 asset managers control a record $131 trillion in assets under management on any given day. More importantly, about $558 billion moves through the markets every single day in just the U.S. alone. That means computer algorithms direct the flow of as much as $447 billion – per day. Who wouldn’t want to figure out where all that Big Money was flowing each day… knowing where these institutions would pour their billions next… Even down to the ticker symbol? I definitely did. So once I realized who – or what – was really controlling the money, I knew my next move: I decided to build my own algorithm that would track where this near half-trillion in capital each day was flowing. And my time at Cantor helped me do exactly that. My quantitative analysis system tracks about 5,500 stocks after filtering out many more. My algorithms go to work crunching 120 data points per stock every day. The full code applies 29 proprietary indicators to those 120 data points. That’s millions of data points every single day running through my Quantum Edge system – all used to pinpoint stocks ripe for massive institutional buying. One of my favorite examples of how this works – because it’s so personal – involves my father. He called me years ago wanting to invest $5,650. I fired up my system, ran the scan, and saw the readout on one stock that was plain as day. There was a lot of buying activity in the months leading up to Dad’s phone call, and along with other key factors, that told me this stock was primed for massive institutional demand. I didn’t know how much or exactly when. But the algorithms were – according to my pattern-recognition system – lining up to pump billions into the stock. Quantum Edge had pinpointed a then-obscure computer hardware stock called Nvidia (NVDA).  Each one of those green bars points to what I call “unusual institutional demand.” This isn’t just institutional buying. It’s unusual institutional buying. I’m talking about huge waves of demand for that stock. My father took my advice and is now sitting on as much as 4,000% gains. I’ve watched his $5,650 turn into about $250,000. Everyone thinks stocks go up and down based on earnings, news, or the economy. Those are important, but what really matters in this age of instant algorithms and AI software is where the money is flowing. The ability to see where that money is flowing gives you a powerful edge. It’s like having an X-ray or MRI machine for money flows so you can ride the Big Money waves. If You Can’t Beat ’Em… AI is no longer a niche tool – it’s becoming the foundation of modern trading. In 2023, investment in AI-powered financial services hit $35 billion. That number is expected to increase 260% to $126 billion (or beyond) by 2028. As the biggest investors in the world increase their advantage using AI, why not fight fire with fire? I know. Easier said than done. AI isn’t readily available to individual investors yet. Fortunately, TradeSmith saw its power before almost anyone else and got to work on predictive AI-based tools to forecast future stock movements. One result is TradeSmith’s own AI forecasting engine. Like all good AI platforms, it has a name: An-E – short for Analytical Engine. I designed my system and algorithms to identify longer-term winners, but An-E is built for shorter-term forecasts. This simple but powerful tool shows you the likely direction for stocks over the next 21 trading days – a big benefit for traders in this roller coaster market. Here’s just one example: On March 7, An-E projected that Discover Financial Services (DFS) would fall from $167.52 to $150.83 within 21 trading days – a projected drop of 9.97%. An-E’s confidence gauge was 72%, suggesting a strong likelihood the bearish move would materialize. Sure enough, by April 7, DFS plummeted to $150.88 – a 9.93% drop and nearly perfect match to An-E’s forecast. In fact, you can receive five of An-E’s most bearish stock forecasts for free by going to the replay of an emergency briefing that happened just 12 hours ago. TradeSmith CEO Keith Kaplan revealed exactly how An-E works and which stocks to avoid in today’s market based on An-E’s bearish projections. I built my Quantum Edge system to take emotions out of investing. I learned the hard way how emotions steer you wrong most of the time, especially in chaotic markets like right now. That has contributed to its long-term success. An-E also relies on emotionless artificial intelligence and analysis to deliver shorter-term forecasts you can trade on – whether markets are crashing, bouncing, or stuck in a whipsaw. Both can help you match Wall Street’s technological firepower and grow your wealth. Talk soon, 
Jason Bodner Editor, Quantum Edge Pro P.S. A quarter of firms already say AI strategies are delivering their highest returns. And more investors are turning to AI not just to survive in volatile markets – but to win. An-E is built for this exact moment. If you’re still relying on guesswork in a market like this, you’re falling behind. Watch the early replay of last night’s emergency briefing to see how you can turn today’s volatility into tomorrow’s opportunity. |
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