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I’m currently working on a trading script designed to identify optimal stop-loss and take-profit levels based on market structure and volatility. Day TF Short entry: $101,460.15 with a stop-loss at $105,330.08 TP levels tested down to $82,110 Despite it played out ok I still need additional validation that will come with time. Point is to keep enhancing...

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Seeing diamond pattern on tops gives us general clue that market is about to fall. After all, this is what it draws (what masses go through) as it loses momentum and eventually goes for a correction. However, even if we're very sure, rushing to trade based on systematic patterns does not actually guarantee the desired outcome. For instance, the bullrun which...

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Integrating another fibonacci channel into a formerly discovered interconnected structure: Direction defined by HH's: Mar '24 & Dec '24; Mapping to LL Nov '22 Price breaking over this channel is a signal of continuation of bullrun in a bigger scale (like 2016 BR). Interconnected Fractals in respect to Phi: My work revolves around understanding and...

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After encountering old chart, I though to redefine some coordinates. It played out well, however I would like to experiment using actual chart-based extremes to predefine levels. Measuring historic market's most significant HH & LL with fibonacci channels to project psychological levels into the future. Logarithmic scale is a must for this type of...

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Trend's Three Frames of Reference: The Fibonacci channels in the chart are constructed based on the COVID low (March 2020) and the 2023 low, with a projection that aligns with the late 2021 top as a key reference point. This approach sets the direction of the Fibonacci channels in an upward-sloping trajectory, capturing the broader bullish trend while...

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Basis: RESEARCH Analyzing directional support and resistance through Fibonacci channels provides a systematic approach to understanding historical price movements and their impact on current market trends. Fibonacci ratios have long been essential in technical analysis, helping traders identify pivotal price levels where momentum shifts frequently occur....

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The convergence of the linear extension of volatility bands toward a specific point is a phenomenon rooted in market equilibrium dynamics and statistical projection. When volatility contracts, it often signals a transition from a high-activity phase to a period of consolidation, where price fluctuations narrow, leading to a temporary state of balance between...

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FREMA bands offer a dynamic edge over traditional ATR-based volatility bands by adapting to real buying and selling pressure (bullish and bearish part of candles) rather than just price movement. Unlike ATR bands, which expand symmetrically based on historical volatility, FREMA bands widen asymmetrically — expanding more on the upside during strong buying...

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Monthly reminder that prices move in fibonacci proportions to its own size. I'll provide the most extreme version for illustration purposes. Let's focus on first ATH after which there was the heaviest decline of 93% and use those coordinates in order to explain the rest recurring cycles. Now, if we capture the first notable cycle (around 2010-2011) with...

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In this research idea I'll test which of those two tools would be a more effective way for projecting future key levels to which price may react best. While both of them are chart-based and run on fibonacci with progression rate 0.25 showing exponential spacing between levels, there are differences: TradingView's Fibonacci Retracement (2 chart points) Levels...

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After reaching all time high of $488.50 on 18 Dec '24, Tesla has been systematically dropping making lower lows. So far it made a local low at $325.10 which is -33% from ATH. One might intuitively assume that Tesla’s CEO, with significant administrative resources at his disposal, would drive the stock to outperform on a longer period. This narrative held true,...

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Coca-Cola (KO) has demonstrated a strong long-term uptrend, as evidenced by its price action on the exponential scale chart spanning from the 1960s to early 2025. The chart, utilizing the natural constant e (Euler) with a progression rate of 0.1, effectively highlights the stock’s exponential growth over decades. Early price movements were relatively stagnant, but...

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JPMorgan Chase exhibits a logarithmic price progression that aligns with exponential scaling based on Phi with a 0.25 progression rate, providing a structured framework for understanding its long-term growth dynamics. Historically, price movements have respected these exponential levels, indicating that market participants react to percentage-based growth. From...

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Meta Platforms, Inc. has been on a meteoric rise, recently surpassing $700, and its price action suggests a strong adherence to exponential growth patterns rather than linear trends. Traditional charting methods often fail to capture the real movement of high-growth stocks, making the Exponential Grid indicator, which applies non-linear scaling using a constant of...

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Since my line of work focuses on understanding and connecting scalable complexities, I require an interactive representation of the long-term market structure of an idea I published a while ago. These ideas will serve as a foundation for developing a probabilistic framework that accurately captures the underlying patterns and relationships governing price...

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In this idea I would like to walk you through some principles which I use to find and relate historical complexities within rhyming cycles. Market Reflexivity Market reflexivity is a concept introduced by George Soros that defies the traditional TA notion of efficient markets by revealing that price movements do not merely reflect fundamentals — they actively...

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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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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...