DaytradingBias.com Launches Make Trading Education Affordable Fund Raising Campaign

TORONTO - June 1, 2015 - PRLog -- DaytradingBias.com is pleased to announce its Make Trading Education Affordable! fund raising campaign through GoFundMe. A donation drive is now ready at GoFundMe to accept donations for DaytradingBias.com.

Lawrence Chan of DaytradingBias.com kick-starts the fund raising effort with his popular blog Stress-Free Trader explaining why the need to launch the GoFundMe campaign for DaytradingBias.com.

Lawrence Chan wrote in his latest blog post that DaytradingBias.com was established to assist beginner traders and retail investors to learn to trade profitably. Hence, it is important to keep the site and its services affordable since beginners and struggling traders do not have the resources to get the professional level service they actually need.

Lawrence Chan explained further, "I have decided to give crowdfunding a try as an alternative to generate cashflow in addition to the traditional approach of offering products and services."

Lawrence Chan encourages all retail traders and investors to check out the fund raising campaign and support his effort in building a better trading education website.

To learn more about the Make Trading Education Affordable! campaign, follow the link below,

http://www.gofundme.com/daytradingbias


About Lawrence Chan

Lawrence Chan is a trader / researcher in financial technologies for over 25 years. His work on market breadth analysis & advanced trading techniques on index & forex trading is incorporated into the trading platform NeoTicker. Mr. Chan is well published in trading journals and major financial websites. Mr. Chan has mentored hundreds of professional traders throughout his career.

About DaytradingBias.com

DaytradingBias.com's unique Emini S&P Real-Time Trading Assistant Tool, Real-Time Price Level Tool and Lawrence Chan's Real-Time Commentaries work in combination to offer its subscribers objective trading signals and statistical biases to lean on when the price charts alone cannot provide the complete picture of the current market conditions. Trading models are built from price patterns, custom market breadth and complex cycle analysis based on proprietary research. All the trading tools are browser based so they can be used anywhere independent from the trading platforms used by the traders.