Wildfire EA | Range Trading On The Euro

Good Day. Here I want to discuss the Wildfire EA. This is a range trading bot similar to the Volatility Factor EA. The concept here is simple. Buy when the market moves "X" amount of pips south, and Sell when the market moves "X" amount of pips north.

Given that the Euro has not been trending well lately, (which is why many "breakout" strategies are failing now) logically this might work. Supposedly this one has a trending element to it as well, in case the market behavior swiftly changes.

Backtests are available on the site, but given the volatility of the markets lately, I wouldn't read too deeply in to them IMHO. More importantly we have some running vendor accounts.

Here we have a low risk account that is barely making any money yet. We can click the widget to follow its future performance.

All of the features are there to recommend this as a solid performer when looking at the strategy reports and backtests. Unfortunately trading the Euro these days is like rolling the dice at a casino.

• Trades on EUR/USD 1-hour chart avoiding the noise, false signals and over-trading that can be problematic with systems developed for shorter time-frames.
• Enters trades on bar-close to reduce broker dependency.
• Target Profit is always much larger than it’s stop-loss giving WILDFIRE a risk/reward ratio of 1:2.
• Places protective Target Profit and Stop-Loss on every trade to safeguard against lost connection to broker, internet, power outages etc… this is critical for serious traders who trade serious money.
• Has an early exit strategy that will close positions before a full stop-loss is hit if the market moves strongly against us.
• Is very robust. Surviving the industry standard 13-year back-test with a draw down under 13% and making over a million dollars. Thrives in the many different market conditions presented over this time span.
• Uses equity based position sizing. Very important for traders running multiple expert advisors or placing manual trades. WILDFIRE reads your current account equity and automatically adjusts it’s position size to accommodate for equity being used elsewhere.
• Optimizing was done on 2000-2008 data, leaving 2009-2013 data for out-of-sample testing. This is done to avoid curve fitting the expert advisor to all available data.
• Trades every signal to avoid “trade chain dependency” -or- hiding losses behind profitable trades.

Please consider informing the readers of this blog if you decide to trade this one. The vendors are solid programmers, so I would not be surprised if this does well in the future. To your success!

WILDFIRE EA BY CUTTING EDGE