INVITE-ONLY SCRIPT
Profitable MAMA & FAMA Crossover
Diupdate
Introduction
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05.
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1) and Slow Limits (between 0.01 to 0.6 with step of 0.1) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: https://www.mesasoftware.com/papers/MAMA.pdf
MAMA & FAMA Crossover can be found here:
The MESA Adaptive Moving Average (MAMA) was originally presented by John F. Ehlers. By design, it is a special kind of Exponential Moving Average with self-adjusting alpha. Its adaptation is based on the rate change of phase as measured by the Homodyne Discriminator and the alpha parameter is allowed to range between a maximum and minimum value (Fast Limit and Slow Limit).
Key Point: Ehlers suggested the maximum value to be 0.5 and the minimum to be 0.05.
The variable alpha is computed as the Fast Limit divided by the phase rate of change. If the phase rate of change is large, the variable alpha is bounded at the SlowLimit. Then, this alpha is used to compute MAMA and FAMA (Following Adaptive Moving Average).
Should we rely on Ehlers' suggestions if we want to achieve the best result with MAMA & FAMA crossover system?
Well, he is a good specialist and widely recognized author, I respect him, but the answer is no and you can see results on the chart.
What is our goal?
We want to find the best configuration for MAMA & FAMA Crossover. To achieve that we need to analyze the MAMA's alpha parameter or, more specific, the bounds for this parameter, Fast and Slow Limits.
What is this tool?
This tool is a performance optimizer that uses decision tree-based algorithm under the hood to find the most profitable settings for the MAMA & FAMA Crossover. It analyzes a bunch of different Fast Limits (between 0.01 to 0.8 with step of 0.1) and Slow Limits (between 0.01 to 0.6 with step of 0.1) and backtests each combination across the entire history of an instrument. If the more profitable parameters were found, the indicator will switch its values to the found ones immediately.
So, instead of manually selecting and testing parameters just apply this indicator to your chart and
relax - the algorithm will find the best parameters for you
Alerts
It has a special alert that notifies when the more profitable settings were detected.
NOTE: It does not change what has already been plotted.
NOTE 2: This is not a strategy, but an algorithmic optimizer.
Reference: https://www.mesasoftware.com/papers/MAMA.pdf
MAMA & FAMA Crossover can be found here:
Catatan Rilis
- Update
Catatan Rilis
- Update
Skrip hanya-undangan
Akses ke skrip ini dibatasi hanya bagi pengguna yang telah diberi otorisasi oleh penulisnya dan biasanya membutuhkan pembayaran untuk dapat menggunakannya. Anda dapat menambahkannya ke favorit anda, tetapi anda hanya akan dapat menggunakannya setelah meminta izin dan mendapatkan aksesnya dari pembuat skripnya. Hubungieverget untuk informasi lebih lanjut, atau ikuti instruksi penulisnya dibawah ini.
TradingView tidak menyarankan untuk membayar untuk sebuah skrip dan menggunakannya kecuali anda 100% mempercayai pembuatnya dan memahami cara kerja skrip tersebut. Dalam banyak kasus, anda dapat menemukan alternatif skrip sumber terbuka yang bagus secara gratis di Skrip Komunitas kami.
Instruksi penulis
″
Inggin menggunakan skrip ini pada chart?
Peringatan: harap membaca sebelum meminta akses.
Freelance -> Telegram: @alex_everget
A list of FREE indicators:
bit.ly/2S7EPuN
A list of PAID indicators:
bit.ly/33MA81f
Earn $15:
tradingview.com/pricing/?share_your_love=everget
A list of FREE indicators:
bit.ly/2S7EPuN
A list of PAID indicators:
bit.ly/33MA81f
Earn $15:
tradingview.com/pricing/?share_your_love=everget
Pernyataan Penyangkalan
Informasi dan publikasi tidak dimaksudkan untuk menjadi, dan bukan merupakan saran keuangan, investasi, perdagangan, atau rekomendasi lainnya yang diberikan atau didukung oleh TradingView. Baca selengkapnya di Persyaratan Penggunaan.