PROTECTED SOURCE SCRIPT
EHMA Range Index Basket Strategy
업데이트됨
This script is a modified version of my EHMA Range Strategy.
EHMA Range Strategy
In addition to the EHMA, this script works with a range around the EHMA (which can be modified), in an attempt to be robust against fake signals. Many times a bar will close below a moving average, only to reverse again the next bar, which eats away at your profits. Especially on shorter timeframes, but also on choppy longer timeframes this can make a strategy unattractive to use.
With the range around the EHMA, the strategy only enters a long/exit-short position if a bar crosses above the upper range. Vice versa, it only enters a short/exit-long position if a bar crosses below the lower range. This avoids positions if bars behave choppy within the EHMA range & only enters a position if the market is confident in it's direction. Having said that, fakeouts are still possible, but a lot less frequent. Having backtested this strategy vs the regular EHMA strategy (and having experimented with various settings), this version seems to be a lot more robust & profitable!
EHMA Range Index Basket Strategy
The EHMA Range Index Basket Strategy aims to make the EHMA Range Strategy even more robust, by taking nearly 40 of the most traded crypto trading pairs and applying the EHMA Range Strategy to them. For each pair it assigns a 0 (Sell signal) or 1 (Buy signal) and adds them up. If the number of Buy signals outweigh the number of Sell signals, the index strategy triggers its Buy signal (and vice versa). The results are even more profitable & robust than with the EHMA Range Strategy on its own. Next to that, it performs a lot better on most crypto pairs, due to it's robustness. Because of that, this strategy is a lot less prone to overfitting and will likely produce better results during live trading conditions!
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
EHMA Range Strategy
In addition to the EHMA, this script works with a range around the EHMA (which can be modified), in an attempt to be robust against fake signals. Many times a bar will close below a moving average, only to reverse again the next bar, which eats away at your profits. Especially on shorter timeframes, but also on choppy longer timeframes this can make a strategy unattractive to use.
With the range around the EHMA, the strategy only enters a long/exit-short position if a bar crosses above the upper range. Vice versa, it only enters a short/exit-long position if a bar crosses below the lower range. This avoids positions if bars behave choppy within the EHMA range & only enters a position if the market is confident in it's direction. Having said that, fakeouts are still possible, but a lot less frequent. Having backtested this strategy vs the regular EHMA strategy (and having experimented with various settings), this version seems to be a lot more robust & profitable!
EHMA Range Index Basket Strategy
The EHMA Range Index Basket Strategy aims to make the EHMA Range Strategy even more robust, by taking nearly 40 of the most traded crypto trading pairs and applying the EHMA Range Strategy to them. For each pair it assigns a 0 (Sell signal) or 1 (Buy signal) and adds them up. If the number of Buy signals outweigh the number of Sell signals, the index strategy triggers its Buy signal (and vice versa). The results are even more profitable & robust than with the EHMA Range Strategy on its own. Next to that, it performs a lot better on most crypto pairs, due to it's robustness. Because of that, this strategy is a lot less prone to overfitting and will likely produce better results during live trading conditions!
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as good as in historical backtesting.
This post and the script don’t provide any financial advice.
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