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STRUCTURAL AWARENESS This analysis seeks to provide structural insights by identifying key levels and understanding historical price patterns to anticipate the limits potential future scale of price movements. Indicators in use: I'd start with retrieving HH LH HL LL points by script I've designed based on Pivot Points to be as aware as possible of key levels...

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HISTORIC AVERAGING The point of historic averaging is to provide a long-term perspective on an asset’s price by calculating an average that considers all available historical data. The simplest is Arithmetic All-Time Average PineScript: ta.cum(close) / (bar_index + 1) To get it we must add up all closing prices and divide by number of bars. (Bar_index + 1...

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Introduction: Learning from Setbacks (and Sharing for Others on the Same Journey) Everyone makes mistakes, and I have certainly made my fair share. I want to share my personal journey of learning from my past missteps on TradingView, my efforts to deeply understand the platform's guidelines, and my aspiration to become a responsible vendor, in the hope that...

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New discovered Fibonacci channel: '22 Lowest - current ATH The visualization of these channels enhances awareness regarding upcoming potential price reactions. Fibonacci Channels as Roadmaps: Utilizing Fibonacci ratios, steep channels delineate clear zones where Bitcoin has historically found support or encountered resistance. These ratios, fundamental to the...

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Perceiving the price action as a function of trading time justifies the quantitative approach in drawing geometric relationship between phases of cycles. Hence, it's safe for me to assume that market is a time fractal which has its own path regardless the collective opinions of the market participants. Logistic curve that reflects well the speed of information...

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Fractal Dimensions measured with Fibonacci Channels: ⬇︎FC + = Cause ➔ Effect obstacles: +⬆︎FC Micro Fractal coverage: FREMA BANDS: SuperTrend indicator based on Buying and Selling Pressure: We're at 2x Take Profit level based on Raw BSP metrics instead of ATR: Why it matters: We're at channel top and Buying Pressure is falling while at ongoing uptrend.

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fibs are set to default mode: a - a.236 - a.382 - a.618 - a.786 - b - ... Previous mode: a - a.272 - a.414 - a.618 - b Current default mode has more units to cover group of patterns which contributes to higher visualization of logical consequence of fluctuations and interconnectedness of market volatility to the nature of fibonacci phenomenon. Any impulsive wave...

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UPD: Added an equally important downward headed line to make pricetime fabric more complete. This sums up to 4 fib channel lines of different key angles of the fractal to form a solid matrix of targets. I assume so far this is the best system of coverage of all support/resistance levels for the decade. Values of red and orange fib channels correspond to top fib values.

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FREMA facts: Upper hot color bands are based on Buying Pressure Lower cold color bands are based on Selling Pressure This makes the levels of bands be more relevant to the candle metrics. The regular ATR bands the upper and lower levels expand equally with ATR change. Whereas FREMA levels expand and shrink by the change of 2 factors: Buying and Selling...

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Adjusted version of previous charts for experimental purposes Time and Price related fibonacci channels are sourced from the cycle of Covid Low and 2022 Low. Previously I used the steepest (time related) fib channels all the way back from 2014. I chose the source from covid cycle over the prehistoric one to witness how price behaves to more recently formed angles.

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Default settings would look like: To increase responsiveness to risks and close positions with slightest trend change incentive, it's best to check the following: Invert BSP Dynamic Factor It is adjusted to the market incentive because the SuperTrend governing bands have carry ratios of bulls and bears. It causes bands to fuse with ongoing candle emerging...

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Clear Altered BG of: Yellow line resembles as an axis of deviation which establishes cycle count: H ⇨ Next Low

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Added 2 other fib ratios for extending awareness about the presence of extra golden proportions. Those are 0.146 and 0.887 2021 double tops define an important angle which is relevant to the chart in terms of its distinctive angle of the shift towards the side. Given angle we could define the width of fibonacci channel by applying the Nov 2022 bottom: Tops 2017...

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TimeFibs will be based on the following period: A wavelength of 910 Days based on 2011 & 2013 ATHs as 0 & 1 chronologically TimeFibs: Doesn't have absolute accuracy, however explains most of long-term reversals. Respectively, we would use Fibonacci Sequence to work out the price levels derived from historic wave. Measuring first and biggest wave from bottom to top:

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In this idea I'll document my further observation of long-term price action The way 0.236 first fibonacci channel defined 2021 ATH Critical points of prior cycles were also captured by fibonacci channels of same tool. Significance of second Fibonacci channel is also apparent because it also breaks down historic cycles. This means that correlation of prices...

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Analysis of long-term corrective waves from ATH's of different historic periods Facts: The drop of 93.75% back in 2011 was the biggest correction of all time. With time the corrections after new established ATH's got gradually smaller. I'll use fibonacci retracement to measure those heavy drops as ATH - 1 and bottom as 0 to document how measurements of...

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On the basis of earlier probabilistic map (which captured how price is being governed by golden rule on a bigger scale) , I'd look for same relationship to interconnect the chart on the short-term too. So at this point it's also important One of the earlier significant price developments would include the fact of bottoming late 2022 after the fall of -77%. Since...

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Since traders are literally made of particles, it's vital to know the principles of their behavior in micro scale. Some people even use planetary cycles to implement into charting. But I believe the answer is deep in quantum world of probabilities - the fabric of reality itself. Reference to Quantum Mechanics The universe itself prohibits 100% prediction...