Considering all those observed fractal patterns from:
A fractal to narrow in would be:
Let's unfold:
This means we have identified scalable structural basis.
Fibonacci Mapping
Validation of Metrics via Resonation:
Validation of Fibonacci channel tilt:
Fractals of Previous Cycle:
Scalable Fractals:
Fractal patterns are approximations and are not solely about predicting price movements on the Y-axis; they also encompass the frequency of reversals on the X-axis. The timing of smaller cycles, which serve as the building blocks of these patterns, holds greater significance than the overall composite price changes.
A fractal to narrow in would be:
Let's unfold:
This means we have identified scalable structural basis.
Fibonacci Mapping
Validation of Metrics via Resonation:
Validation of Fibonacci channel tilt:
Fractals of Previous Cycle:
Scalable Fractals:
Fractal patterns are approximations and are not solely about predicting price movements on the Y-axis; they also encompass the frequency of reversals on the X-axis. The timing of smaller cycles, which serve as the building blocks of these patterns, holds greater significance than the overall composite price changes.
交易進行
The pink fractal pattern illustrates top formations, while the decline from the top is a compressed version of the blue pattern. Due to high volatility, reversal frequency exceeds that of the pattern itself. A few more days of new candles should clarify the fractal hierarchy for further updates.
Unlock exclusive tools: fractlab.com
ᴀʟʟ ᴄᴏɴᴛᴇɴᴛ ᴘʀᴏᴠɪᴅᴇᴅ ʙʏ ꜰʀᴀᴄᴛʟᴀʙ ɪꜱ ɪɴᴛᴇɴᴅᴇᴅ ꜰᴏʀ ɪɴꜰᴏʀᴍᴀᴛɪᴏɴᴀʟ ᴀɴᴅ ᴇᴅᴜᴄᴀᴛɪᴏɴᴀʟ ᴘᴜʀᴘᴏꜱᴇꜱ ᴏɴʟʏ.
ᴘᴀꜱᴛ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ɪꜱ ɴᴏᴛ ɪɴᴅɪᴄᴀᴛɪᴠᴇ ᴏꜰ ꜰᴜᴛᴜʀᴇ ʀᴇꜱᴜʟᴛꜱ.
ᴀʟʟ ᴄᴏɴᴛᴇɴᴛ ᴘʀᴏᴠɪᴅᴇᴅ ʙʏ ꜰʀᴀᴄᴛʟᴀʙ ɪꜱ ɪɴᴛᴇɴᴅᴇᴅ ꜰᴏʀ ɪɴꜰᴏʀᴍᴀᴛɪᴏɴᴀʟ ᴀɴᴅ ᴇᴅᴜᴄᴀᴛɪᴏɴᴀʟ ᴘᴜʀᴘᴏꜱᴇꜱ ᴏɴʟʏ.
ᴘᴀꜱᴛ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ɪꜱ ɴᴏᴛ ɪɴᴅɪᴄᴀᴛɪᴠᴇ ᴏꜰ ꜰᴜᴛᴜʀᴇ ʀᴇꜱᴜʟᴛꜱ.
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ᴀʟʟ ᴄᴏɴᴛᴇɴᴛ ᴘʀᴏᴠɪᴅᴇᴅ ʙʏ ꜰʀᴀᴄᴛʟᴀʙ ɪꜱ ɪɴᴛᴇɴᴅᴇᴅ ꜰᴏʀ ɪɴꜰᴏʀᴍᴀᴛɪᴏɴᴀʟ ᴀɴᴅ ᴇᴅᴜᴄᴀᴛɪᴏɴᴀʟ ᴘᴜʀᴘᴏꜱᴇꜱ ᴏɴʟʏ.
ᴘᴀꜱᴛ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ɪꜱ ɴᴏᴛ ɪɴᴅɪᴄᴀᴛɪᴠᴇ ᴏꜰ ꜰᴜᴛᴜʀᴇ ʀᴇꜱᴜʟᴛꜱ.
ᴀʟʟ ᴄᴏɴᴛᴇɴᴛ ᴘʀᴏᴠɪᴅᴇᴅ ʙʏ ꜰʀᴀᴄᴛʟᴀʙ ɪꜱ ɪɴᴛᴇɴᴅᴇᴅ ꜰᴏʀ ɪɴꜰᴏʀᴍᴀᴛɪᴏɴᴀʟ ᴀɴᴅ ᴇᴅᴜᴄᴀᴛɪᴏɴᴀʟ ᴘᴜʀᴘᴏꜱᴇꜱ ᴏɴʟʏ.
ᴘᴀꜱᴛ ᴘᴇʀꜰᴏʀᴍᴀɴᴄᴇ ɪꜱ ɴᴏᴛ ɪɴᴅɪᴄᴀᴛɪᴠᴇ ᴏꜰ ꜰᴜᴛᴜʀᴇ ʀᴇꜱᴜʟᴛꜱ.
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。