Larry WilliamsADVISORE-mini S&P*PROGRAM
177.9%NET RETURN$55,583MATCHING FUNDS
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Larry WilliamsADVISORE-mini S&P*PROGRAM$250SUBSCRIPTION
$20,000INITIAL INVESTMENT177.9%NET RETURN
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Jan SmolenADVISORAlfa Dynamic PlusPROGRAM
Fundamentals, Sentiment assess…Fundamentals, Sentiment assessment Technicals and prop indicators.METHODOLOGY$200SUBSCRIPTION
64.2%NET RETURN$16,461MATCHING FUNDS
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Jan SmolenADVISORAlfa Dynamic PlusPROGRAM$200SUBSCRIPTION
Fundamentals, Sentiment assess…Fundamentals, Sentiment assessment Technicals and prop indicators.METHODOLOGY
$10,023INITIAL INVESTMENT64.2%NET RETURN
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Performance includes open trade equity through May 26, 2022. Trading futures and forex involves significant risk of loss and is not suitable for everyone. Past performance is not necessarily indicative of future results.
Matching funds is an amount equal to the advisor’s account balance at the time of entry into the program. A unit is equivalent to the quantity traded by the advisor on each trade, and may vary from program to program. Performances are for proprietary accounts that are either owned by the advisor or are entities of which the advisor is a beneficial owner. There have been no net cash additions to these lead account. Peak-to-valley draw-down is the greatest cumulative percentage decline in month-end net equity during the life of the account. Subscribers funding with a balance equivalent to the advisor’s initial investment subsequent to the program inception date could experience a drawdown that exceeds the advisor’s historic drawdown on a percentage basis. Subscribers should take this into consideration when determining the funding level of their account. When the commission rate has changed during the life of a program, performance data is calculated using rates that applied during specific periods of time.
“In a business known for one-hit wonders, Larry Williams has endured, passing the test of time… If there is one person who embodies the mind and the spirit of the individual trader during the entire 40 years existence of futures it probably would be Larry Williams.” — Futures Magazine, November 2012
Larry Williams began following the markets in 1962. His interest was sparked by the Kennedy market crash, when President Kennedy forced a roll back in steel prices. The crash was front page news everywhere. People lost millions but Larry was more taken by the fact that if you had been “short” the market, you could have made millions.
Once Larry began to understand that he could make money trading the markets, whether the market was going up or down, he was smitten. Williams graduated from the University of Oregon in 1964 with a bachelors in Journalism – a background that has led him to publish a dozen popular books.
By 1965 Larry was actively trading the markets and began writing a newsletter. It wasn’t long before Larry began producing ground breaking market research. In 1966 he developed his famous timing tool, Williams %R. This tool still is published daily in many major financial papers and is a standard indicator provided on trading web sites from MSN’s Money Central to Yahoo!
In 1970 his first investment book, “The Secret of Selecting Stocks,” was published. Larry followed that with the first book ever on the seasonality of stocks and futures, “Sure Thing Commodity Trading: How Seasonal Factors Influence Commodity Prices.”
His 1973 ”How I Made One Million Dollars… Last Year… Trading Commodities” is one of the best-selling commodities books of all time.
Williams stunned the trading world by running a $10,000 account to $1,147,607 for an astounding 11,376% net return in the 1987 World Cup Championship of Futures Trading®.
Larry’s long list of best-selling books includes 1982’s “How to Prosper in the Coming Good Years,” which accurately forecasted the largest bull market and surge in economic growth in American history. He is the recipient of numerous awards, including Futures Magazine’s first Doctor of Futures Award, the Omega Research Lifetime Achievement Award and Traders International 2005 Trader of the Year. The mayor of San Diego declared October 6, 2002 as Larry Williams Day in honor of its local celebrity.
Over the past 40 years, Larry has lectured at premier investment conferences throughout the world.
The profile above includes statements of opinion. Trading involves substantial risk of loss and is not suitable for everyone. Past performance is not necessarily indicative of future results.
Andrea Unger loves juggling numbers, except when the numbers are used to identify human beings.
Unger spent nine years as a middle manager for a major corporation in Italy. He enjoyed putting his mechanical engineering degree (University of Milan) to use in the workplace, but he didn’t enjoy the harsh realities of mid-level management.
“I had 30 people working under me, and I saw how people can be treated like numbers,” Andrea says. “The maneuvers I saw in business were sad because you were dealing with people, and people have stories and families and lives. Top management would come in with directions to reduce here, to move people there. This is normal to meet the objectives of a company, I understand that it must be like that. But it’s not what I like.”
Andrea decided to move in a new direction in 2001, and set his sights on a trading career. He sought advice from famed Italian trader Domenico Foti, and soon became a top protégée. The two have become close friends as well, and now collaborate daily on trading ideas and system development.
“I am much happier now, because as a trader I am paid depending on my skills,” says Unger, who trades from Maltignano in the Marche region of central Italy. “The better I am, the more I gain. I am alone against the market and I am free to manage my own time.”
Unger has established himself as one of Europe’s best traders. He won the futures- trading title in 2005 Top Trader Cup competition, sponsored by LombardReport.com, and one year later published “Money Management: Methods and Applications,” the first Italian-language book on money management for traders. (Andrea normally uses the fixed-fractional method in his personal trading but also develops combinations of methods to suit certain strategies.
Unger fulfilled a dream by winning the 2008 World Cup Championship of Futures Trading, which he captured with a 672% net return. Proving it was no fluke, he recorded a 115% return in 2009 to become the first back-to-back winner of the competition in nearly 20 years, and then posted a 240% return in the 2010 World Cup Championship of Futures & Forex Trading to pull off an unprecedented World Cup three-peat.
And he was back at the top of the pack two years later, winning the 2012 Q4 futures competition with an 82.8% net return.
“Participation in the World Cup was a way to measure my techniques in the most important contest in the world — and become the first Italian trader to win the championship,” he says.
Andrea is a full-time trader who appreciates the complexities of the markets. “There is no easy money out there,” he says. “Markets require discipline and application to be understood. I try to develop methods that apply to the markets. I never try to apply the market to my ideas.”
The profile above includes statements of opinion. Trading involves substantial risk of loss and is not suitable for everyone. Past performance is not necessarily indicative of future results. World Cup Championship (WCC) accounts do not necessarily represent all the trading accounts controlled by a given competitor. Accounts trading in the WCC may be subject may be subject to commission rates different from those following the AutoTrade program. WCC competitors may control accounts that produce results substantially different than the results achieved in their WCC accounts.
“It has always intrigued me how prices are discovered in free markets by voluntary exchanges without any central planner,” Jurg says. “Trading has especially been attractive as a way to increase my personal freedom and financial independence.”
Today Jurg Diemand is a part-time trader and a Tech Lead in Machine Learning at a large Silicon Valley company. He began trading in 2005, and says he doesn’t actually remember much about his first trade, but believes he decided to buy some Gold after reading a book about currency debasement and inflation.
With a PhD in Theoretical Physics from the University of Zurich, Jurg looked to learn a lot from market mentors such as Pendo Loefgren, Co-founder and CIO of Arnova Capital AG, and from diving into various trading books and academic papers to broaden his market knowledge.
Jurg names some of his favorite trading books to be “Algorithmic Trading” and “Machine Trading,” both by Ernest P. Chan, and “Advances in Financial Machine Learning,” by Marcos Lopez de Prado.
After years of studying and practice, Jurg’s trading now focuses on the use of technical, data-driven strategies.
“They employ machine learning to find tradable patterns in historical data,” he says. “Once developed and ready for live trading, these strategies are completely automated and systematic, i.e. free from human intervention. Quantitative strategies like the ones I use, target regular, persistent patterns, which should lead to consistently positive returns when averaged over several months,” Jurg says.
“Applying machine learning to financial data is quite challenging due to the small signal and the overwhelming noise,” Jurg says. “It took quite some time and learning from many mistakes before the results started to make sense. Statistics and Machine Learning can lead to great outcomes in trading, when applied with sufficient thought and care.”
The profile above includes statements of opinion. Trading involves substantial risk of loss and is not suitable for everyone. Past performance is not necessarily indicative of future results. World Cup Championship (WCC) accounts do not necessarily represent all the trading accounts controlled by a given competitor. Accounts trading in the WCC may be subject may be subject to commission rates different from those following the AutoTrade™ trading service. WCC competitors may control accounts that produce results substantially different than the results achieved in their WCC accounts.