At the core of my trading success lies a single principle.
This principle gave me the power to build food banks, animal shelters, and schools through my non-profit Karmagawa.
It helped me see the world (over 130 countries and counting) from the freedom I’ve attained.
It led to the financial security that now blesses my family’s future.
And it generated the resources to help hundreds of students attain that same independence by giving them the tools and knowledge to build their success upon that principle.
I’m talking about discipline.
Discipline underpins my 7-Step Framework for picking high-profit penny stocks. Through discipline, you unleash the full potential of the ABCD pattern. And building watchlists with discipline will let you spend more time focusing on potential winners and less time on the duds.
Unfortunately, there’s only so much time in the day. Human capacity limits our ability to apply frameworks and analyze patterns to find stock trades that pay regardless of our discipline.
Scaling Trading Discipline
After several months of research and over a million dollars of development, my team has built a tool that harnesses the incredible power of AI to apply the same discipline that has minted so many millionaires over the past 20 years.
And it does it at scale.
This tool is already helping a new generation of students build the foundation to power their dreams. (Learn more here).
It’s called XGPT, and every day, it scans the entire stock market, looking for six powerful attributes that can lead to big wins.
When it finds the perfect conditions for a trade, it generates an alert and writes up a full report that breaks down the opportunity, how to play it, and – critically – how much trading capital you should allocate to the trade.
And just a few days ago, it alerted my students to a real winner.
Shortly after noon last Friday, XGPT noted that conditions were ripe for an explosive move in Elevation Oncology, Inc. (NASDAQ: ELEV).
It found positive news sentiment based on a press release earlier that day. It identified a breakout from crucial support. Plus, it knew ELEV was part of the hot biotech sector.
Moreover, the trading instructions were precise and on point:
“Our strategy involves entering a position at $0.9 per share and looking for a profitable exit approximately at $1.133 per share. To minimize potential loss, we’ve defined a stop price at around $0.762 per share.”
By 10:00 the following Monday, the stock was already on the move.
It traded through $0.90, then past the $1.13 per share target to over $2.00 before settling in at $1.81 for an astonishing 100% move above the target price – a trade that paid off big for several of my students.
Please retweet/congratulate these GREAT upcoming https://t.co/occ8wKmT5U students who are capitalizing on the market volatility & big runners like $ELEV as I LOVE seeing solid wins like this, not just for the $, but the important lessons they teach my students too:
— Timothy Sykes (@timothysykes) January 8, 2024
This is just one example of the many successes we’re already seeing from this remarkable technology.
That way, you, too, can scale the trading discipline of AI and start building the same independence that so many of my students have built for themselves.