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Free Forex Trading Course: How To Trade The Forex Markets Using Scientific Principles

This is the only training on the market that references over 4 decades of scientific studies to bring you a simple step-by-step approach to trading the Forex markets.
Mark Shawzin
The Pattern Trader

Register For The Free Online Webinar

What you’ll learn in this online Forex training course:

(References can be found at the bottom of this page)
#1. The science behind predicting the direction of the market.
In 2009, a scientific paper was published by Dr Friesen and his colleagues. After studying 35,000 trading scenarios they plotted how price moves for up to 100 days after two specific chart patterns emerged.

Their findings have been verified or cited and cited by 95 studies between 2009 and 2020. We’ll break down their findings and how you can apply it to your trading.

#2. Using price action to determine the time to enter a trade.

You’ll discover the entry strategies published in the Applied Mathematics Finance journal by Caginalp & Laurent (1998). Their entry criteria has been verified or cited in 135 follow up research papers from 1998-2020.

In this paper they concluded: “The results were significant for both the buy and the sell signals, with the buy signal resulting in a tripling of the initial investment during a one-year period (with costs taken into account).”

#3. How to manage your risk to just 0.5% of your total portfolio

Discover the simple risk management strategies that’ll limit your exposure to 0.5%-1.0% per of your entire account per trade.

And so much more. There’s too much packed into this simple-to-follow training to talk about on this page. Register for the training by clicking here.
Mark Shawzin
The Pattern Trader

Register For The Free Online Webinar

How You Access The Training

01
You will be offered the option to join the next available training. Don’t worry, they are streamed frequently. Usually every 15 minutes.
02
Once you register, you’ll be taken to a page with a video that’ll explain exactly what to do next. You’ll be offered a workbook to download and a link to the online class.
03
Inside of the online class you should watch the webinar and make all the notes you can. At the end we will take questions. If we do not get to one of your questions, then you can email us.

Scientific papers referenced in the webinar

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, 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.

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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CFTC RULE 4.41 - HYPOTHETICAL OR SIMULATED PERFORMANCE RESULTS HAVE CERTAIN LIMITATIONS. UNLIKE AN ACTUAL PERFORMANCE RECORD, SIMULATED RESULTS DO NOT REPRESENT ACTUAL TRADING. ALSO, SINCE THE TRADES HAVE NOT BEEN EXECUTED, THE RESULTS MAY HAVE UNDER-OR-OVER COMPENSATED FOR THE IMPACT, IF ANY, OF CERTAIN MARKET FACTORS, SUCH AS LACK OF LIQUIDITY. SIMULATED TRADING PROGRAMS IN GENERAL ARE ALSO SUBJECT TO THE FACT THAT THEY ARE DESIGNED WITH THE BENEFIT OF HINDSIGHT. NO REPRESENTATION IS BEING MADE THAT ANY ACCOUNT WILL OR IS LIKELY TO ACHIEVE PROFIT OR LOSSES SIMILAR TO THOSE SHOWN. IN ADDITION, HYPOTHETICAL TRADING DOES NOT INVOLVE FINANCIAL RISK, AND NO HYPOTHETICAL TRADING RECORD CAN COMPLETELY ACCOUNT FOR THE IMPACT OF FINANCIAL RISK IN ACTUAL TRADING. FOR EXAMPLE, THE ABILITY TO WITHSTAND LOSSES OR ADHERE TO A PARTICULAR TRADING PROGRAM IN SPITE OF TRADING LOSSES ARE MATERIAL POINTS WHICH CAN ALSO ADVERSELY AFFECT ACTUAL TRADING RESULTS. THERE ARE NUMEROUS OTHER FACTORS RELATED TO THE MARKETS IN GENERAL OR TO THE IMPLEMENTATION OF ANY SPECIFIC TRADING PROGRAM WHICH CANNOT BE FULLY ACCOUNTED FOR IN THE PREPARATION OF HYPOTHETICAL PERFORMANCE RESULTS AND ALL OF WHICH CAN ADVERSELY AFFECT ACTUAL TRADING RESULTS. RESULTS NOT ADJUSTED FOR COMMISSION AND SLIPPAGE.
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