How the system works Traide Ringer EA:
Take 3 currency pairs combine them and rotate them like a wheel Example AUD/JPY USD/JPY AUD/USD
As one is in drawdown, two are in profit
or 2 are in drawdown while one is in profit
Conservative setting- one ring
Medium setting- one ring higher lot size
Aggressive setting- two rings
Charts- 4hr and 1 day
Recommend run Sunday-Wednesday
Which currency pairs does the Traide Ringer trade?
These are the pairs that work in a synergistic way most of the time, which allows the Traide Ringer to profit on one pair while another pair is in a negative profit.
Drawdown is a natural occurrence with any trading and should not cause unnecessary alarm. At the same time, we want to be responsible and make educated decisions that help avoid drawdown at the wrong times. Floating Drawdown Expectations: .
01 per 1,000$ (Recommended)
Floating Drawdown Expectation= 2-5%
Recommended Equity Protector= 20-25 .
02 per 1000$ (Medium Risk) (Higher than Recommended)
Floating Drawdown Expectation= 3-8%
Recommended Equity Protector= 25-30 .
03 per 1000$ (HIGH RISK) (Aggressive; not Recommended unless account size is $3,000)
Floating Drawdown Expectation= 6-15%
Recommended Equity Protector= 30
Here are some factors that could cause unexpected drawdown
1 News Events = If the software is running during an Economic News event that can cause high volatility in the market place can result in a higher drawdown experience with the Traide Ringer Software.
2 Low Liquidity – When running the software during times of low liquidity; Bank Holidays, In between sessions and Fridays. This is because with low liquidity there is less volatility, which results in smaller movements in the market. When this takes place the software has less opportunity to close profit positions so you may experience more drawdown than normal.
3 Running anything different than the recommended settings the company has provided, such as more aggressive settings and starting the Traide Ringer as soon as the market opens on Sunday when spreads have not normalized.