Gold Scalping【Master RCI and win with moving average filter!!】XAUUSD 1-minute chart
【 mastering RCI!! Trend Reversals, Buy Dips, Sell Rallies 】
Indicator that shines when combined with RCI【BODSOR・mBDSR】
and methodology & case studies (PDF) ★GogoJungle AWARD2020 winner★
https://www.gogojungle.co.jp/tools/indicators/11836
mBDSR (RCI two-line filter) effectiveness verified by creating an EA
(Backtest results)
https://www.gogojungle.co.jp/finance/navi/articles/19024
※This product【BODSOR・mBDSR】includes over 550 PDFs (over 2,000 pages, more than 1,950 chart images, over 700,000 characters in total) as part of the methodology and case studies.
About the PDFs included in the above product
【BODSOR・mBDSR】 358 attached PDF files
https://www.gogojungle.co.jp/finance/navi/articles/34271
【Master RCI to Win!!】 Summary of PDFs describing mBDSR (Moving Average Filter)
https://www.gogojungle.co.jp/finance/navi/articles/90127
【Master RCI to Win!!】 PDF collection for using 5-minute signals for day trading
https://www.gogojungle.co.jp/finance/navi/articles/89870
【Attention!!】
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【Master RCI to Win!!】 1-minute short-term trading (scalping) PDF collection
https://www.gogojungle.co.jp/finance/navi/articles/88762
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【Master RCI to Win!!】 15-minute trading PDF collection
https://www.gogojungle.co.jp/finance/navi/articles/113513
【Master RCI to Win!!】 1-hour trading PDF collection
https://www.gogojungle.co.jp/finance/navi/articles/116353
【Master RCI to Win!!】 PDF compilation describing profit-taking points
https://www.gogojungle.co.jp/finance/navi/articles/89471
PDF collection for effectively utilizing R1R2S2【Master RCI to Win!!】
https://www.gogojungle.co.jp/finance/navi/articles/93154
【Master RCI to Win!!】 PDF collection for effectively utilizing 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 these appropriately.
Below, we introduce examples of signs formBDSR (Moving Average Filter)signals.
Gold XAUUSD 1-minute chart
In the chart above,the sign of mBDSR (Moving Average Filter)lights up at the right timing.
In the case of the Moving Average Filter mBDSRas well,when used in conjunction with the higher-timeframe down to lower-timeframe breakdown using the three RCI linesit enables high-probability trades. This is also explained in the attached PDF.
※ Note that in the charts mentioned in this article, for convenience of explanation, circles, lines, rectangles, etc., may be drawn.
Indicator that shines when combined with RCI【BODSOR・mBDSR】
and methodology & case studies (PDF) ★GogoJungle AWARD2020 winner★
https://www.gogojungle.co.jp/tools/indicators/11836
Over 550 PDFs (methodologies & case studies: total over 2,000 pages, over 700,000 characters) are included.
Most of them are about logically linking higher and lower timeframes using three RCI lines, observing multiple lower-timeframe conditions sequentially, and ultimately waiting for dip-buy or pullback-signs on the lower timeframes (i.e., mBDSR signs).many focus on identifying points where multiple entry bases coincide.
Also,Also included are methods to explore ascent or descent targets using three RCI lines.
In the PDF explanations,
.
Blacksun Indicators (List)
https://www.gogojungle.co.jp/finance/navi/articles/33779
Free Blacksun indicators and free e-books
https://www.gogojungle.co.jp/finance/navi/articles/90181
【Reference videos (RCI and mBDSR related)】
Setups waiting for signals with environment recognition and multi-time-frame analysis using RCI (1)
https://www.youtube.com/watch?v=1prvET_M5mA
Setups waiting for signals with environment recognition and multi-time-frame analysis using RCI (2)
https://www.youtube.com/watch?v=vR4oD-oMVQQ
Setups waiting for signals with environment recognition and multi-time-frame analysis using RCI (3)
https://www.youtube.com/watch?v=C6DHn0lD-I4
Setups waiting for signals with environment recognition and multi-time-frame analysis using RCI (4)
https://www.youtube.com/watch?v=QG1iNTnLyyQ
Setups waiting for signals with environment recognition and multi-time-frame analysis using RCI (5)
https://www.youtube.com/watch?v=VYlGiy6Cllg
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