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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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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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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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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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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...

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Coverage of the chart as a reflexion of reality without TA bias because the chart is already a self-referential source. Visualizing the relativistic structure of price movements using Fibonacci Channels, mapping historical significance onto a probabilistic framework. The intersections of these channels define areas of probability density, highlighting potential...

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Merging 2 regularities into Unified Fractal Fibonacci Framework: Fractal Cycle Correlation Broad Fibonacci Channels, where two coordinates define direction and a third maps a cycle, reveal the relationship between historical price points. The intersections of these lines mark zones of probability density, where price is drawn toward (or repelled)...

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I remember taking the CMT exam, where one question referenced the Efficient Market Hypothesis (EMH), which asserts that price action is purely random. To avoid losing points, I had to select “random” as the correct answer, despite knowing that market behavior is far more structured than EMH suggests. Despite of passing I still won't ever agree that market is...

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The humanity is accelerating towards the times when virtual worlds will get so realistic that their inhabitants gain consciousness without realizing they exist in a simulation. The idea that we might be living in a simulation was widely introduced in 2003 by philosopher Nick Bostrom. He argued that if the civilization can create realistic simulations, the...

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The Fractional Accumulation Distribution Strategy (FADS) is designed to dynamically optimize entry points and position sizing based on market conditions. It leverages volatility-based trend detection and adaptive scaling to identify high-probability demand and supply zones using ranges from higher timeframes. In volatile markets, traders can improve capital...