THE FREEDOM TRADER LIBRARY

This Peer Reviewed Scientifically Tested Trading Strategy Yielded 202-259% Per Year ROI
According to Researchers
The trader with this knowledge would consistently be able to place trades at more opportune times, while having the same costs as the others, and accumulate significantly greater profits.
G. CAGINALP and H. LAURENT
Mathematics Department, University of Pittsburgh (Citation)

Here’s What You’re Getting Inside The Freedom Trader Library

Guide #1

Predict Where The Market Is Going To Go In The Next 100 Days

  • 5 Scientifically Tested Chart Patterns That Significantly Beat The Market - They’ve been tested in over 35,000 trading scenarios in an epic collaboration by three leading universities.
  • Determine how long a trend should last using the “Expected Price Path”.
  • How to quickly spot trend reversals so you can get in early on a multi-week journey of stunning profits.
  • Why you should never try and enter a trade based on traditional “chart patterns” (HINT: Trading them in a vacuum leads to colossal losses). 
Guide #2

When To Enter Trades: How To Use a Build Up Of “Energy” In The Markets

  • How to get into position before the market bursts out of a consolidation (HINT: It has nothing to do with trading support and resistant breakouts)
  • How to use “coiling bars” for a targeted entry.
  • The Double Confirmation Bar: Use this method to make sure you’re on the right side of the market before entering a trade.
  • 8 scientifically tested bar formations that dictate “energy” in the market. They happen right before price either hurtles upwards or falls down to earth. There have been 139 follow up research papers on their astonishing predictive capacity.
  • Place your entry 4 points (or pips) BELOW this kind of bar when going short and put your stop loss 20-35 points ABOVE the “unchanged level”.
  • Find out what type of order gives you the best result for long trades. Is it a buy stop, buy limit, or buy at market order?
Guide #3

Stop Loss Strategy: The Scientific Method of Assessing Your Risk

  • Avoid the rollercoaster of getting stopped out of a trade just before price turns and heads in the right direction.
  • Make yourself immune to market manipulation: Understand how Wall Street chases your stop loss, and where you should place it.
  • How to use the middle of the previous bar to determine your “exit plan”.
  • Discover exactly how much you should risk on any given trade - get this wrong and you’ll soon have an empty account balance.
Guide #4

Levelling Up Your Trades: When To Add To Your Position

  • How to slide into 2, 3, or even 4 positions and handle monster sized trades WITHOUT ever risking more than 1% of your trading account.
  • The “Inside Day Bar” Scaling Method: This is where the high and low are within the range of the previous bar. Use this to move your stop loss, tighten your risk, and then pile into another position.
  • The “Energy Coil” Scaling Method: Use these small “breaths” in the market to sell into strength and buy into weakness.
  • Get into trades so big that they’ll eliminate 5, 10, or even 20 losing trades in one foul swoop.
Guide #5

Scientifically Layer Your Trades: Putting it All Together

  • Review 8+ complete trades (FX and stocks) from start to finish to see EXACTLY how the method works in real-life trading
  • See how the 4 key steps of the method follow one after the other naturally to generate winning trade opportunities
  • Get a sense of how to adjust your expectations in response to market conditions and price action
  • Identify the best setups that give you the best chances of success
  • See how often it wins and why it wins BIG
Guide #6

The Scientific Take Profit Strategy: When Should You Bank Your Winning Trades?

  • The Initial Take Profit Strategy: Discover where you should place your initial targets.
  • The Price Action Take Profit Strategy: When you see these 8 different bar formations, you need to exit the trade and book your profits.
  • When to adjust your profit targets for maximum gain.
  • The Target Multiplier Method: This allows you to keep booking profits while the market is trending in a specific direction (this is super important post-pandemic).
Guide #7

Forex or Stocks: Which One Is More Profitable?

  • The fundamental difference between Forex & stocks that most rookie traders don’t understand (HINT: This has nothing to do with liquidity or the fact that Forex is a 24 hour market... It’s something you’ve probably never heard about before).
  • Discover which market yields the biggest profits and whether or not it’s possible (or even recommended) to trade both
  • The three simple questions you have to answer before your first 90 days of trading.
Guide #8

24 Hour Profits: Using The News To Find Markets That Are Ready To Explode The Next Day

  • The 3-Step UUP News Method: Use this to determine which markets are about to move big, determine the most likely outcome, and execute an exit plan.
  • How to put a protective shield around your trading while banking 3:1 winning trades.
  • How to use this method in the Forex and stock markets.
    (HINT: They’re not the same and you can’t simply copy the strategy from one to the other).
Guide #9

 Live Off Your Trading Income: Your Road To a $200,000 Trading Account That Pays You Every Month

  • The only two things you need to achieve massive and consistent account growth.
  • The Learning Phase: A breakdown of the first few months of trading a scientifically tested strategy.
  • The Growth Phase: Becoming a highly effective trader with a consistent edge in the market.
  • The Acceleration Phase: This is when you reach new heights and could probably live off your trading income.
  • The Respect Phase: Others will start asking you “how” and genuinely want you to trade their money. Here’s what to do about that.
  • The Freedom & Opportunity Phase: The same buttons you pressed to make you $50, now make you $5,000.
However, by far my favorite is when people email me screenshots of their accounts so I can see how well they have done.

Like Ting, who sent me the following email:

And attached his trading account:
Or Clyde, who is a carpenter from Australia who posted this on Facebook:
Or Andy, who sent me the following email and attached his trades:
Here are a few more of my favorites.

If you want, you can read the hundreds of reviews we’ve received:

CUSTOM JAVASCRIPT / HTML

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The Scientific Evidence

From the desk of Mark Shawzin,

After spending 23 years trading for 8 different Wall Street firms, there is one simple truth I’ve learned.

There are no true “trading secrets” out there.

Here’s how it works on Wall Street:
  • Someone claims they have a profitable trading strategy. When that happens...
  • ​Investors and hedge funds employ a PHD data scientist to pore over the results to confirm they are statistically significant. Then...
  • ​They hire an entire team of data scientists to see if they can replicate the results. After all that...
  • ​The findings get published in a peer reviewed scientific journal where they get picked up by data scientists around the world and tested in dozens of different markets.
For example, in 1987 I worked for Bridgewater & Associates in The World Trade Center, when Black Monday wiped out the Dow Jones. 
Most of Wall Street went into a severe panic attack.

Yet one obscure strategy predicted the top of the stock market with crystal ball-like accuracy.

A guy called Paul Tudor Jones executed it like a sniper taking out its target and floated away with $100 million in just 24 hours.

PBS giddily released a documentary about him. Jones was both furious and terrified when the release date came due. He ended up buying every single copy and stopped them from printing any more film, fearing his secrets would be revealed.

Unfortunately for him, Wall Street is worse than The Real Housewives Of Beverly Hills (nothing stays secret for long).

From 1992 to 1996 two data scientists from the University of Pittsburgh (Caginalp and Laurent) tested six “secret” entry methods... two of them would have predicted the top of the 1987 Black Monday crash.

They submitted their results to the Applied Mathematical Finance journal. For two painstaking years, data scientists pored over their results.

Finally their earth shattering findings were accepted, approved, and published in 1998.

The contents of this study were explosive. They reluctantly proved that it is possible to pull huge chunks of money out of the markets with a simple 3-bar formation that has a tendency to accurately predict when a market is about to reverse. Based on nothing but price.

No indicators, no analysts, no big news events, no underlying earnings reports, no industry growth numbers... just the formation of a few price bars.

In their paper they state,
“...a trader who has the same information as others plus the knowledge of this method will have a competitive advantage… On a yearly basis each unit of capital would be compounded into 202% to 259% of the initial investment.”
If you had invested $5,000, you would end up with $15,100 after one year, $45,602 after two years, and $137,718.04 after just 36 short months!

Here’s why this matters to you today in 2021 (over two decades later):

This scientific paper led to an orgy of research into this stupidly simple trading strategy.

Naturally, people were skeptical.

“But what about other markets? And other market conditions?”

The stampede to disprove this strategy started with two other math geniuses (Yung-Ming Shiu and Tsung-Hsun Lu) who tested it in the Taiwan stock market from 1998 to 2007.

They not only agreed with the results of our boys from Pittsburgh University, they actually compared a boatload of other strategies. Their conclusion?
“[...]This strategy is more frequent and most trustworthy according to our results.”
One by one, more studies came out. They are STILL testing it every few years. There have been 150 follow up research papers since Caginalp and Laurent published that first one.

Here are more recent examples.

In 2018 the International Journal of Economics and Business Research, published a scientific paper by Chin et al, testing this method in the Malaysian Stock Market.

Later that same year, the Journal of Insurance and Financial Management published a peer reviewed paper that proved it worked in the Vietnamese Stock Market.

Two other researchers from India, Prasad and Murugaiah, tested it in the Indian Stock Market and published their results in an investment journal called Wealth.

There have been four new studies hot-off-the-press in 2021 alone.

That’s true evidence.

This weird and wonderful strategy turned from hot gossip into a bankable scientific fact (you can see a list of all the scientific references at the bottom of this page).

It came in handy once...

“I Got Turfed Out Of Wall Street & Had To Use This Strategy To Secure My Early Retirement”

After 23 years on Wall Street I got thrown out, effectively banned from trading for big institutions, and left nearly penniless, with a newborn son on the way.

I was completely on my own.

For nine years the SEC dragged me from one deposition to another for “insider trading.” I spent my life savings defending my name.

The small fortune I made trading on Wall Street wasn’t enough.

They broke me. It was like dying from one-thousand papercuts over the better part of a decade.

I told them outright, “I’ve got nothing left. No lawyers, no money, and no energy to fight on.”

I was willing to go to court with a dreary public defender. I flat-out refused to confess to a blatant lie. But it didn’t come to that.

It turns out... they had no evidence! Zilch. Nada.

Why?

Because I didn’t make any money from the alleged “insider information.”

To get charged with insider trading there had to be some money that was made on that info.

There wasn’t. So the case was dead.

I signed some form that said, “I neither admit nor deny guilt”. And the whole thing was over. Or so I thought.

The sad consequence of this was that nobody on Wall Street would touch me.

My name had been dragged through the thick mud of the SEC.
I went from a hot commodity in Lower Manhattan to an “undesirable”...

Like I said... I was on my own. I had to make money or my new family would starve.

I took the few dollars I had left and became a small-time investor - using the exact same cash generating strategies I used when I was considered a “Shark” on Wall Street.

In fact, the simple method tested by the two data scientists from Pittsburgh became my main money-making tool.

Because...
  • It allows you to tightly control your risk. You can never lose more than 1% of your investment capital on any given trade. (This was vital for me since I had no safety net.)
  • You pile into price reversals early which is the most profit-dense opportunity in trading (and how Paul Tudor Jones made $100 million in less than 24 hours.)
  • You can rapidly slide in one, two, or even three more positions to generate Godzilla-sized trades (I love this part since it reduces my risk even more while supercharging my profits).
And in 2021 this strategy has continued its astonishing streak of record profits.

Here are some of the trades I’ve taken in 2021.

WARNING: My results are not typical. I am a veteran trader with decades of experience. 

Not a single trader who has followed my strategy has achieved the kinds of results I have achieved. The most successful make about ten times less than I make. Nevertheless, here are some examples.

Lyft the ride hailing company: 
#2. QQQs NASDAQ: Where I made $169,668.07 going short. Here are what my open positions looked like from Tuesday to Thursday:
TUESDAY - March 2nd
WEDNESDAY  - March 3rd
THURSDAY- March 4th
#3. QuantumScape an electric car battery maker: Where I quickly banked $309,587.64.
#4. Beyond Meat: Ticker symbol BYND, the plant based food company: Where I gorged on profits worth $477,099.33 in less than two weeks.
And that doesn’t even include my second soaring broker account where this strategy gifted me another $392,500.00. Bringing my total profits on this single trade to $869,599.33.
And then there were these Forex trades:
Again, my results are not typical. Don’t expect to be making this kind of money.

Here is what this is meant to show you: You can use this in all markets. Including Gold, Oil, Silver, commodities, and anything else with a price chart.

I’m so confident that you’ll get immense value from it that I decided to set up a challenge:

“I Challenge You To Try & Lose Money Using This Strategy”

If You Do, Then I’ll Refund You Double Your Money

Guarantee #1: You have 365 days to request a refund for any reason (or no reason at all). Seriously, if you get these trading guides and don’t like the font on the thank you page, you can request a swift and immediate refund.

We actually don’t even ask why you want it. My support team has been instructed to process it without question.
Double Your Money Back (Guarantee #2): I challenge you to try and lose money using this strategy.

Go through the guides and take ten trades on a demo account. If you lose more money than you’ve won (even fake money!) then I will send you double your money back.

GET INSTANT ACCESS TO THE FREEDOM TRADER LIBRARY

P.S. For those of you who don’t want to read this really long page here is a quick recap of everything you’ll get:

  • You’ll get 8 PDF guides that’ll teach you my exact trading strategy.
  • Guide #1. Predict Where The Market Is Going To Go In The Next 100 Days ($7.00 value)
  • Guide #2. When To Enter Trades: How To Use a Build Up Of “Energy” In The Markets ($12.00 value)
  • Guide #3. Stop Loss Strategy: The Scientific Method of Assessing Your Risk ($7.00 value)
  • Guide #4. Levelling Up Your Trades: When To Add To Your Position ($12.00 value)
  • Guide #5. Scientifically Layer Your Trades: Putting it all Together ($20.00 value)
  • Guide #6. The Scientific Take Profit Strategy: When Should You Bank Your Winning Trades? ($9.00 value)
  • Guide #7. Forex or Stocks: Which One Is More Profitable? ($5.00 value)
  • Guide #8. 24 Hour Profits: Using The News To Find Markets That Are Ready To Explode The Next Day ($7.00 value)
  • Guide #9. Live Off Your Trading Income: Your Road To a $200,000 Trading Account That Pays You Every Month ($5.00 value)
  • That's $84.00 if we sell these guides separately. You get to choose what you want to pay for them $1.00, $10.00, or even $84.00 if you want.
  • Your entire purchase is protected by my Double Money-Back Guarantee. You have the option of getting 100% of your money back for any reason, and 200% back if you take ten trades and lose.
A little information about your instructor,
Mark S hawzin
Mark is in his 60s and trades for a living. He started his trading career when he was at University and learned from an investment banker. In 1980 he got his first job on Wall Street at the firm Merrill Lynch.


He spent the next 23 years working for 8 Wall Street firms. In 1991 the SEC opened an insider trading investigation into Mark’s brother, Greg. The SEC decided to start investigating Mark as well, and he ended up being dragged through the courts for 9 years. His innocence didn’t matter. He spent the small fortune he had built up to defend his name, but once the Wall Street Journal wrote an article about it he found it impossible to get a job.


By 2002 he was almost flat broke and had a son on the way. His only choice was to trade for himself.


For 13 years he only ever traded his own account and lived off his profits. In 2015 his friend Peter begged him to start teaching others. He promised Mark that he wouldn’t have to lift a finger. He would simply have to turn up and trade. Mark agreed and The Pattern Trader was born.


Since then he’s taught thousands of students and given a lot of the profits from the business away to his favorite charity, The American Childhood Cancer Organization.

Scientific References

  • ALTI, AYDOĞAN & TITMAN, SHERIDAN. (2019). A Dynamic Model of Characteristic‐Based Return Predictability. The Journal of Finance. 10.1111/jofi.12839.
  • ​Barber, B. M., Lee, Y., Liu, Y., & Odean, T. (2009). Just how much do individual investors lose by trading?
  • ​Billingsley, R.S. and Chance, D.M. (1996) Benefits and limitations of diversification among commodity trading advisors. Journal of Portfolio Management 23: 65–80.
  • Brasiano, Redik & Hanafi, Mamduh. (2017). Does Momentum a Domestic Phenomenon? A Case from Indonesian Capital Market.
  • ​Caginalp, G. and Laurent, H. (1998) The predictive power of price patterns. Applied Mathematical Finance 5: 181–205. Vol. 5.1998, 3/4, p. 181-205. 1998
  • ​Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (November 21, 2019). Available at SSRN: https://ssrn.com/abstract=3423101
  • ​Cheung, Y.W. and Chinn, M.D. (2001) Currency traders and exchange rate dynamics: a survey of the US market. Journal of International Money and Finance 20: 439–471.
  • ​Cornell, W.B. and Dietrich, J.K. (1978) The efficiency of the market for foreign exchange under floating exchange rates. Review of Economics and Statistics 60: 111–120.
  • ​Dooley, M.P. and Shafer, J.R. (1983) Analysis of short-run exchange rate behavior: March 1973 to November 1981. In D. Bigman and T. Taya (eds) Exchange Rate and Trade Instability: Causes, Consequences, and Remedies (pp. 43–69). Cambridge, MA: Ballinger.
  • Fama, E.F. (1970) Efficient capital markets: a review of theory and empirical work. Journal of Finance 25: 383–417.
  • ​Fama, E.F. and Blume, M.E. (1966) Filter rules and stock market trading. Journal of Business 39: 226–241.
  • ​Federico Garzarelli, Matthieu Cristelli, Gabriele Pompa, Andrea Zaccaria & Luciano Pietronero, 2014, Memory effects in stock price dynamics: evidences of technical trading, Journal of Scientific Reports volume 4, Article number: 4487 (2014)
  • ​Foltice, B. & Langer, T. (2015) Profitable momentum trading strategies for individual investors. Financial Markets and Portfolio Management, 29(2), 85-113.
  • ​Friesen, Geoffrey C.; Weller, Paul; and Dunham, Lee, "Price Trends and Patterns in Technical Analysis: A Theoretical and Empirical Examination" (2009). Finance Department Faculty Publications. 11
  • ​Gehrig, T. and Menkhoff, L. (2003) Technical analysis in foreign exchange – the workhorse gains further ground. Discussion paper, University of Hannover.
  • ​Grundy Bruce D. (2001) Understanding the nature and risks and the sources of rewards to momentum investing. Review of Financial Studies 14(1):29-78 · March 2001.
  • ​Gutierrez and Kelley, 2008 — R. Gutierrez Jr. and E. Kelley, The long-lasting momentum in weekly returns, Journal of Finance 63 (2008)
  • ​Hirshleifer, David & Daniel, Kent & Subrahmanyam, Avanidhar. (1998). Investor Psychology and Security Market Under- and Over-Reactions. Journal of Finance. 53. 1839-1885. 10.1111/0022-1082.00077.
  • ​Irwin, S.H. and Uhrig, J.W. (1984) Do technical analysts have holes in their shoes? Review of Research in Futures Markets 3: 264–277.
  • ​Irwin, Scott & Park, Cheol-Ho. (2007). What do we know about profitability of technical analysis. Journal of Economic Surveys. 21. 786-826. 10.1111/j.1467-6419.2007.00519.x.
  • ​Jensen, M.C. and Benington, G.A. (1970) Random walks and technical theories: some additional evidence. Journal of Finance 25: 469–482. Leuthold, R.M. (1972) Random walk and price trends: the live cattle futures market. Journal of Finance 27: 879 889.
  • ​Leuthold, R.M. (1972) Random walk and price trends: the live cattle futures market. Journal of Finance 27: 879–889.
  • ​Lo, Andrew W., Harry Mamaysky and Jiang Wang. "Foundations Of Technical Analysis: Computational Algorithms, Statistical Inference, And Empirical Implementation," Journal of Finance, 2000, v55(4,Aug), 1705-1765
  • ​Menkhoff, L. (1997) Examining the use of technical currency analysis. International Journal of Finance and Economics 2: 307–318.
  • ​Oberlechner, Thomas & Nimgade, Ashok. (2005). Work Stress and Performance Among Financial Traders. Stress and Health. 21. 285 - 293. 10.1002/smi.1063.
  • ​Park, C.-H. & Irwin, S. H. What Do We Know About the Profitability of Technical Analysis? J. Econ. Surv. 21, 786–826 (2007)
  • ​Shantha & Ram, Vedantam. (2019). Influence of news on rational decision making by financial market investors. Investment Management and Financial Innovations. 16. 142-156. 10.21511/imfi.16(3).2019.14.
  • ​Shiu, Y. and Lu, T., 2011. Pinpoint and synergistic trading strategies of candlesticks. International Journal of Economics and Finance, 3(1), pp.234-244.
  • ​Smidt, S. (1965a) A test of serial independence of price changes in soybean futures. Food Research Institute Studies 5: 117–136.
  • ​Smidt, S. (1965b) Amateur Speculators. Ithaca, NY: Graduate School of Business and Public Administration, Cornell University.
  • ​Stevenson, R.A. and Bear, R.M. (1970) Commodity futures: trends or random walks? Journal of Finance 25: 65 81.
  • ​Sweeny, R.J. (1986) Beating the foreign exchange market. Journal of Finance 41: 163–182.
  • ​Taylor, S.J. (1986) Modelling Financial Time Series. Chichester: Wiley.
  • ​Van Horne, J.C. and Parker, G.G.C. (1967) The random-walk theory: an empirical test. Financial Analysts Journal 23: 87–92.
  • ​Van Horne, J.C. and Parker, G.G.C. (1968) Technical trading rules: a comment. Financial Analysts Journal 24: 128–132.

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