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RamayanaEA: Heiken Ashi, MA, CCI, Williams %R, ATR
Heiken Ashi and Moving Average EA system with CCI and Williams %R, as well as Average True Range for filtering the trades.
Trend detection is based on xSuperTrend MTF indicator.
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Heiken Ashi and Moving Average EA system with CCI and Williams %R, as well as Average True Range for filtering the trades.
Trend detection is based on xSuperTrend MTF indicator.
This good be a good ea except that there are files missing and without those files it won't work at all.
Trading is like cycling, first you need to learn how.
Two options: you either lose or win!
Yes it works for real otherwise i would not post it. Some ea's work only in demo but by using a copier it is possible to pass the trades to live accounts which is use for such ea's
This good be a good ea except that there are files missing and without those files it won't work at all.
very nice ,, thank you very much , i will test it now >>> thank you thank you
Heiken Ashi with 2 short Moving Average and the indicator Stockastic give some interesting strategy results
Can you please share more information on this interesting ea?
Timeframe, and pairs?
Backtesting or forward-testing results to see about max Array, gain factor, net gain % per month, etc?
How is the results ? Any forward test ? Please share if you have good robots.
The RamayanaEA is a blend of several indicators, each serving a specific purpose in the trading system.
https://mt4talk.com/viewtopic.php?pid=24220#p24220
Here’s a simple explanation of how each component works:
Heiken Ashi: This is a type of candlestick chart that's used to identify market trends. Heiken Ashi smooths out price action, making it easier to spot trends and reversals. In your EA, this might be used to gauge the overall trend direction.
Moving Average (MA): This indicator helps confirm the trend direction indicated by Heiken Ashi. It’s a widely used tool to identify the direction of the trend, smoothing out price fluctuations.
Commodity Channel Index (CCI): CCI is a momentum oscillator. It helps identify when an instrument is overbought or oversold, which could signal potential reversals or pullbacks in the market. In your EA, this might be used for timing entries and exits.
Williams %R: Similar to CCI, Williams %R is also a momentum indicator. It’s used to spot overbought and oversold levels. This can help in confirming signals from CCI and add another layer of validation for trade entries.
Average True Range (ATR): ATR measures market volatility. It doesn’t provide direct buy or sell signals but is used to filter trades by identifying how much an asset typically moves. In your EA, it could be used to set stop-loss levels or to filter out trades during low-volatility periods.
xSuperTrend MTF Indicator: This is likely the key element. MTF stands for Multi-Time Frame, which means this indicator is taking into account trends from multiple time frames. This can provide a more comprehensive view of the market direction and can be particularly useful for confirming trends.
The strategy of the RamayanaEA, therefore, seems to involve using a combination of trend identification (Heiken Ashi, MA, xSuperTrend MTF), momentum confirmation (CCI, Williams %R), and volatility assessment (ATR) to make trading decisions. The idea is to enter trades that are aligned with the overall trend, have momentum support, and are taken during favorable volatility conditions.
Remember, while this blend of indicators can be powerful, it’s also important to understand the risk of 'analysis paralysis' where too many indicators make decision-making complex. Test and tweak the EA on a demo account to see how it aligns with your trading style and risk tolerance before going live.
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