[Master RCI and win with the moving average filter!!] AUDJPY Australian Dollar-Yen 1-hour chart mBDSR signals
【Mastering RCI!! Trend Reversals, Pullback Buying, and Retracement Selling】
Indicator【BODSOR・mBDSR】that shines in combination with RCI
and methodology, case studies (PDF) ★GogoJungle AWARD2020 winner★
https://www.gogojungle.co.jp/tools/indicators/11836
※This product【BODSOR・mBDSR】includes more than 550 PDFs (over 2,000 pages in total, over 1,950 charts, over 700,000 words) as methodology and case studies.
About the PDFs Included in the Above Product
358 PDF files included with【BODSOR・mBDSR】
https://www.gogojungle.co.jp/finance/navi/articles/34271
Summary of PDFs explaining the mBDSR (Moving Average Filter) and explanations on【RCI Mastery and Winning】
https://www.gogojungle.co.jp/finance/navi/articles/90127
【RCI Mastery and Winning!!】Collection of PDFs for trading using 5-minute chart signals (Day Trading)
https://www.gogojungle.co.jp/finance/navi/articles/89870
【RCI Mastery and Winning!!】Collection of PDFs for 1-minute short-term trading (Scalping)
https://www.gogojungle.co.jp/finance/navi/articles/88762
【RCI Mastery and Winning!!】Collection of PDFs for 15-minute trading
https://www.gogojungle.co.jp/finance/navi/articles/113513
【RCI Mastery and Winning!!】Collection of PDFs for 1-hour trading
https://www.gogojungle.co.jp/finance/navi/articles/116353
【RCI Mastery and Winning!!】Summary of PDFs explaining profit-taking points
https://www.gogojungle.co.jp/finance/navi/articles/89471
PDF collection for effectively using R1R2S2【RCI Mastery and Winning!!】
https://www.gogojungle.co.jp/finance/navi/articles/93154
【RCI Mastery and Winning!!】PDF collection for effectively utilizing the MT5 version of mBDSR
https://www.gogojungle.co.jp/finance/navi/articles/84918
mBDSR (RCI Filter)andmBDSR (Moving Average Filter)have different roles. The accompanying PDFs also touch on how to use them distinctly.
Below,an example of signals formBDSR (Moving Average Filter)is shown.
Australian Dollar / Japanese Yen (AUDJPY) 1-hour
In the chart above,signals from mBDSR (Moving Average Filter)light up at the right timing.
In the case of the Moving Average Filter mBDSRas well,combining with downward-to-upward top-down alignment using three RCI linesenables high-probability trades. The details are alsoexplained in the included PDF.
※Please note that in the charts presented in this article, for convenience of explanation, circles, straight lines, and rectangles may be drawn.
Indictor【BODSOR・mBDSR】that shines in combination with RCI
and methodology, case studies (PDF) ★GogoJungle AWARD2020 winner★
https://www.gogojungle.co.jp/tools/indicators/11836
Includes more than 550 PDF files (methodology and case studies: over 2,000 pages, over 700,000 words).
Most of them are examples that link multiple higher-timeframe and lower-timeframe logically using the three-line RCI, and ultimately wait for pullback buying or retracement selling signals on the lower timeframe (i.e., the mBDSR signals).
Also,many emphasize capturing points where multiple entry reasons overlap..
Furthermore,there are Also methods to explore upside and downside targets using the three-line RCI..
In the PDF explanations,over 1,950 charts are used..
Blacksun Indicators (List)
https://www.gogojungle.co.jp/finance/navi/articles/33779
About Blacksun’s Free Indicators and Free E-books
https://www.gogojungle.co.jp/finance/navi/articles/90181
【Reference Videos (RCI and mBDSR related)】
Forming a waiting-for-signal state using RCI-based environment recognition and multi-timeframe analysis (1)
https://www.youtube.com/watch?v=1prvET_M5mA
Forming a waiting-for-signal state using RCI-based environment recognition and multi-timeframe analysis (2)
https://www.youtube.com/watch?v=vR4oD-oMVQQ
Forming a waiting-for-signal state using RCI-based environment recognition and multi-timeframe analysis (3)
https://www.youtube.com/watch?v=C6DHn0lD-I4
Forming a waiting-for-signal state using RCI-based environment recognition and multi-timeframe analysis (4)
https://www.youtube.com/watch?v=QG1iNTnLyyQ
Forming a waiting-for-signal state using RCI-based environment recognition and multi-timeframe analysis (5)
https://www.youtube.com/watch?v=VYlGiy6Cllg