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Forex - A negative sum game for losers

Goals: This thread should help to uncover the marketing lies of the forex industry. Please post scientific publications and reports from regulators about CFD's, binary options and retail forex. If

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منتديات إشراق العالم Forex - A negative sum game for losers


Goals:
This thread should help to uncover the marketing lies of the Forex industry.
Please post scientific publications and reports from regulators about CFD's, binary options and retail forex.
If somebody has knowledge about leaked statistical data from forex brokers that prove how retailers are getting ripped off in an epic scale... post what you have.
Post evidence about tail risk in extreme market conditions (SNB event on January 15th, 2015, flash crashes, extreme spread widenings...)
post facts, not fiction

Forex - A negative sum game for losers

As as starting point, this is a good summary.....

Scientist discovered Why Most traders lose money 24 surprising Statistics

Rolf common trading Wisdom, Trader Entertainment

95% of all traders fail is the most commonly used trading related statistic around the internet. But no research paper exists that proves this number right. Research even suggests that the actual figure is much, much higher. In the following article well show you 24 very surprising statistics economic scientists discovered by analyzing actual broker data and the performance of traders. Some explain very well why most traders lose money.

80% of all day traders quit within the first two years. 1
Among all day traders, nearly 40% day trade for only one month. Within three years, only 13% continue to day trade. After five years, only 7% remain. 1
Traders sell winners at a 50% higher rate than losers. 60% of sales are winners, while 40% of sales are losers.2
The average individual investor under performs a market index by 1.5% per year. active traders under perform by 6.5% annually. 3
Day traders with strong past performance go on to earn strong returns in the future. Though only about 1% of all day traders are able to predictably profit net of fees. 1
Traders with up to a 10 years negative track record continue to trade. This suggest that day traders even continue to trade when they receive a negative signal regarding their ability. 1
Profitable day traders make up a small proportion of all traders 1.6% in the average year.However, these day traders are very active accounting for 12% of all day trading activity. 1
Among all traders, profitable traders increase their trading more than unprofitable day traders. 1
Poor individuals tend to spend a greater proportion of their income on lottery purchases and their demand for lottery increases with a decline in their income. 4
Investors with a large differential between their existing economic conditions and their aspiration levels hold riskier stocks in their portfolios. 4
Men trade more than women. And unmarried men trade more than married men. 5
Poor, young men, who live in urban areas and belong to specific minority groups invest more in stocks with lottery-type features. 5
Within each income group, gamblers under perform non-gamblers. 4
Investors tend to sell winning investments while holding on to their losing investments. 6
Trading in Taiwan dropped by about 25% when a lottery was introduced in April 2002. 7
During periods with unusually large lottery jackpot, individual investor trading declines. 8
Investors are more likely to repurchase a stock that they previously sold for a profit than one previously sold for a loss. 9
An increase in search frequency [in a specific instrument] predicts higher returns in the following two weeks. 10
Individual investors trade more actively when their most recent trades were successful.11
Traders dont learn about trading. Trading to learn is no more rational or profitable than playing roulette to learn for the individual investor.1
The average day trader loses money by a considerable margin after adjusting for transaction costs.
[In Taiwan] the losses of individual investors are about 2% of GDP.
Investors overweight stocks in the industry in which they are employed.
Traders with a high-IQ tend to hold more mutual funds and larger number of stocks. Therefore, benefit more from diversification effects.
Conclusion: Why Most Traders Lose Money Is Not Surprising Anymore

After going over these 24 statistics its very obvious to tell why traders fail. More often than not trading decisions are not based on sound research or tested trading methods, but on emotions, the need for entertainment and the hope to make a million dollars in your underwear.
What traders always forget is that trading is a profession and requires skills that need to be developed over years. Therefore, be mindful about your trading decisions and the view you have on trading. Dont expect to be a millionaire by the end of the year, but keep in mind the possibilities trading online has.


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1Barber, Lee, odean (2010): Do Day Traders Rationally Learn About Their Ability?
2Odean (1998): Volume, volatility, price, and profit when all traders are above average
3Barber, & Odean (2000): Trading is hazardous to your wealth: The common stock investment performance of individual investors
4 Kumar: Who Gambles In The Stock Market?
5 Barber, Odean (2001): boys will be boys: Gender, overconfidence, and common stock investment
6Calvet, L. E., Campbell, J., & Sodini P. (2009). Fight or flight? Portfolio rebalancing by individual investors.
7Barber, B. M., Lee, Y., Liu, Y., & Odean, T. (2009). Just how much do individual investors lose by trading?
8Gao, X., & Lin, T. (2011). Do individual investors trade stocks as gambling? Evidence from repeated natural experiments
9Strahilevitz, M., Odean, T., & Barber, B. (2011). Once burned, twice shy: How nave learning, counterfactuals, and regret affect the repurchase of stocks previously sol.
10Da, Z., Engelberg, J., & Gao, P. (2011). In search of attention
11De, S., Gondhi, N. R. & Pochiraju, B. (2010). Does sign matter more than size? An investigation into the source of investor overconfidence

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