Forex Master (EUR/USD)


This is a symmetrical algorithm designed only for trading EUR/USD on the 1h time frame. For other currency pairs and time frames, you need to re-calibrate the RSI-EMAs as well as the profit targets and stop losses.


Initial equity = $100,000 (no leverage)
Order size = 100% of equity
Pyramiding = disabled


Long entry = EMA20(RSI10) cross> 50
Profit limit = 50 pips
Stop loss = 50 pips

Short entry = EMA30(RSI30) cross< 50
Profit limit = 50 pips
Stop loss = 50 pips

Long entry = Short exit
Short entry = long exit

DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.

Kory Hoang (http://www.stably.io)
Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.


The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.

Want to use this script on a chart?
strategy("FX Master Long/Short", overlay=true)

price = close

long_basis = rsi(price, input(10))
long_rsiema = ema(long_basis, input(20))
short_basis = rsi(price, input(30))
short_rsiema = ema(short_basis, input(30))

long_trigger = input(50)
short_trigger = input(50)

long_profit = input(500)
long_loss = input(500)

short_profit = input(500)
short_loss = input(500)

strategy.entry("enter long", true, when = crossover(long_rsiema, long_trigger))
strategy.exit("exit long", "enter long", profit = long_profit, loss = long_loss)

strategy.entry("enter short", false, when = crossunder(short_rsiema, short_trigger))
strategy.exit("exit short", "enter short", profit = short_profit, loss = short_loss)