8,000 Pips GBPUSD Bearish EA for MT4 Traders

8 February 2015, 17:48
Winsor Hoang
0
432

We are proud to release the 8,000 Pips GBPUSD Bearish EA for MT4 Traders!

Download your copy today <click here>  

Description

8,000 Pips Bearish is designed with more sell trades than buy trades. The EA is designed to trade specifically the GBPUSD M15 chart and has been tested with Dukascopy's tick data and Birt's highly accurate 99% ticks modelled quality. It has been back-tested from January 1st, 2008 to December 31st, 2014 without compounding. The results have gained greater than 8,000 pips with more than 1,000 trades.

Trading Strategy

The trading strategy offered here is only a subset of our trading design. We believe that the market has 9 different states and that at least 9 distinctive algorithms are required for each trading instrument. However, we cannot offer the entire 18 algorithms for trading the GBPUSD. In our full system design, we use two unique algorithms per state for comprehensive coverage.

We don’t believe in high winning percentage systems that will wipe out your account with one bad trade. Each of our trades is placed with fixed stop loss and take profit.

Compounding can generate a lot of profits, but it can also put your account at risk. You can read more about our trading philosophy in our book entitled "The Bull, the Bear, and the Baboon - FX Lessons Learned the Hard Way." The strategy has been tested with more than76,695,831 ticks on MT4's most advanced and highly accurate "Every Tick" setting.

Usage requirements: Pro or ECN account (Market Execution) with spread ranging from 2.5-4.0 pips (25-40 pips for prices with 5-digit precision).

Symbols: GBPUSD exclusively.

Maximal drawdown is depending on initial deposit. Please purchase upgraded software to unlock more features such as compounding, bullish trading, and transitional states trading.

How to read back-tested results for fixed 0.1 lot trading from January 1st, 2008 to December 31st, 2014 (1 pip = $1):

  • 1) Total Net Profit > 8,000 pips
  • 2) Total Trades > 1,000 trades
  • 3) Profitable Trades > 60%
  • 4) Largest loss trade = 170 pips (user can modify to smaller Stop Loss as desired)
  • 5) Largest profit trade =80 pips (user can modify to smaller or larger Take Profit as desired)
  • 6) Drawdown = 1,020 pips
  • 7) 8:1 reward to risk (no Martingale betting, no compounding, but pure profit)

Download your copy TODAY! https://www.mql5.com/en/market/product/7697

 

Given that speculative currency trading presents the risk of substantial losses, only persons with high net worth and the ability to absorb such losses should consider participating in the programs offered.

Please purchase upgraded software to unlock more features

  • Bullish GBPUSD trading
  • Custom compounding options
  • Multiple currency pairs
  • More robust design over longer period i.e. 2004 to 2015.

Operating Guidelines

  • It is recommended to have at least 18 algorithms trading one single instrument. It is impossible for one algorithm to be profitable for the 9 different states of the market. The collection of numerous algorithms will act as a portfolio to provide proper diversification.
  • It is important to back test a system over 6 years with at least 1,000 trades.
  • Don’t use trailing stop loss. If necessary, move the Stop Loss once and let the system perform the trading for you.

Author

Winsor Hoang, is the author of “The Bull, The Bear and The Baboon – FX Lessons Learned the Hard Way”, a former Commodity Trading Advisor (CTA) registered with the NFA and an automated trading researcher since 2003. Winsor actively works with several high profile mathematicians, statisticians, computer scientists, and computational finance specialists at the University of Calgary and other leading institutions to develop reliable and robust trading systems. Joint FX research has also produced several academic papers that have been published in first-class international scientific journals, such as Journal of Mathematical Finance (JMF), Elsevier Procedia Computer Science Journal, Institute of Electrical and Electronics Engineers (IEEE) Journal, and International Conference on Computational Science.

Share it with friends: