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CyberFlow [Probabilities] | FractalystWhat's the indicator's purpose and functionality? CyberFlow quantifies, per chosen higher-timeframe “Period 1/2/3”, what happens after price first taps the midpoint (Mid) of the previous period’s range. Specifically, it estimates P(High first | Mid tap) versus P(Low first | Mid tap): which side (previous High “PH” or previous Low “PL”) is typically reached first after that mid activation. It extends a previously shared OrderFlow concept that used market structure; here it conditions on higher‑timeframe previous‑period PH/PL with the Mid as the explicit trigger. Note: It's specifically designed to exports raw probabilistic series for algorithmic/system developers to integrate a probabilistic layer into strategies and to build/backtest ideas directly from those series. What is “Mid activation”? The Mid is the average of the previous period’s PH and PL. Activation occurs on the first bar in the current period whose high–low range includes the Mid. The first bar of a new period cannot activate Mid; activation can only start from the second bar of the period onward. What counts as “first hit” after activation? After a Mid activation, the script waits for a subsequent bar that touches either the previous High (PH) or previous Low (PL). The first side touched after the activation bar is recorded as that period’s first hit. Once decided, the other side is ignored for first‑hit statistics. Which periods does it use? You can select three custom reference timeframes (Period 1/2/3) in the UI (defaults: D/W/M). All logic—PH/PL/Mid, activation, first‑hit stats—runs independently per selected period. Do the display controls change the calculation? No. The “Show” selector only controls visuals: Period 1/2/3: show only that period’s plots/barcolors. OFF: shows all periods. Statistics and exported series are unaffected by this selector. What do the bar/line colors mean? Activation (first Mid tap): yellow bar. Delivered to previous High after activation: blue Delivered to previous Low after activation: red Plots stop showing PH/PL once delivery happens (for that side) within the period. What do the status symbols in the table mean? ■ Inactive — Mid not tapped this period. ▶ Activated — Mid tapped; awaiting delivery to PH or PL. ● Delivered — PH or PL was hit first after the Mid tap. How are probabilities computed? For each period, the script counts samples where the Mid was tapped and one side was hit first. It reports: P(High first | Mid tap) and P(Low first | Mid tap). Two‑sided p‑value vs 50% (H0: p = 0.5). These appear in the stats table with detailed tooltips. What is “Bias” in exports? Bias is a ternary signal derived from P(High first | Mid tap): Bias = 1 if > 0.5 Bias = -1 if < 0.5 Bias = 0 if exactly 0.5 or no sample Source can be per period or “Merged” (simple average of available period probabilities). Note: the UI uses a simple average; no weighted option is exposed. What is “Entry” in exports? Entry = 1 on bars where the selected period’s Mid activates (first tap), else 0. “Merged” emits 1 if any of the three periods activates on the bar. What is “Exit” in exports? Exit is the previous period’s Mid price (PH/PL average) for the selected period. “Merged” is the average of the three previous‑period Mid prices. How do I integrate this into strategies? How to use the indicator? CyberFlow is designed for algorithmic/system developers to add a probabilistic layer for entries and market‑regime detection. What CyberFlow exports - Bias (−1, 0, 1): from P(High first | Mid tap) vs 50% per your chosen source (Period 1/2/3 or Merged simple average). - Entry (0/1): 1 only on the bar where the selected period’s Mid first activates (the “mid tap” bar). - Exit (price): the previous period’s Mid price (average of previous High/Low) for the selected source. - These appear in the Data Window as series named Bias, Entry, and Exit. Connecting from your strategy (input.source) - Add inputs in your strategy so users can select CyberFlow’s outputs: - Bias source input: pick the indicator’s Bias. - Entry source input: pick the indicator’s Entry. - Exit source input: pick the indicator’s Exit. In TradingView’s UI, users link these inputs to CyberFlow’s plots via the source picker. Does this use request.security? No. CyberFlow reconstructs your selected higher timeframes (Period 1/2/3) directly on the chart without request.security(). It detects new period boundaries via timeframe.change(tf), rolls the last period’s extremes into Previous High/Low (PH/PL), computes their Mid, then waits for a “Mid activation” (a bar after the first bar of the period whose range crosses the Mid). From activation onward, it records which side (PH or PL) is reached first to build conditional probabilities per period. Because levels and events are derived locally from the live bar stream, there are no cross-timeframe fetch artifacts or repaint nuances from request.security(). The exported series (Bias −1/0/1, Entry 0/1, Exit price) are produced natively and can be wired into strategies via TradingView’s input.source() for robust, low-latency integration. What markets and assets does the indicator Extension work best on? CyberFlow is market- and timeframe‑agnostic: it computes conditional probabilities (which side of the prior range is reached first after a mid tap) directly from price, so it can be applied to crypto, FX, indices, equities, futures, and commodities across intraday to higher timeframes. In practice, robustness depends on liquidity and sample size: higher timeframes usually yield more stable estimates (fewer activations, lower noise), while lower timeframes give more activations but can be noisier (spreads/fees matter more). Because the study itself provides probabilities—not PnL—assess profitability in your context by integrating the exported series (Bias −1/0/1, Entry 0/1, Exit price) into your strategy via TradingView’s input.source(), then backtest with your fills, costs, and risk model to measure performance efficiency on your specific markets and settings. What makes this script unique? Custom higher-timeframes (beyond D/W/M) You can pick any three reference periods (Period 1/2/3), not just Daily/Weekly/Monthly. The script rebuilds these periods directly on the chart and analyzes each independently. True conditional probability (why it matters) It measures P(High first | Mid tap) vs P(Low first | Mid tap) — i.e., “after the previous period’s midpoint is first tapped, which side is typically reached first?” Conditioning on the mid‑tap event isolates the path that follows a specific trigger. Unconditioned counts (e.g., “how often PH/PL is hit”) mix pre‑ and post‑activation behavior and can be misleading. This conditional framing turns vague hit‑rates into decision‑grade odds tied to a clear setup. Statistical confidence in‑context (p‑value in tooltips) Tooltips show a Wilson 95% confidence interval and a two‑sided p‑value versus 50/50. This helps you judge whether an observed edge is likely signal or noise at your chosen periods. Exports built for algorithmic integration Three clean outputs in the Data Window for strategies: Bias (−1/0/1) from the conditional probability versus 50%. Entry (0/1) on the activation bar (first mid tap). Exit (price) as the previous period’s Mid. Hook these into your backtests via TradingView’s input.source(), then evaluate profitability with your own fills, costs, and risk model. This turns the probabilities into measurable performance you can optimize. Disclaimer This tool provides statistical estimates only and is not financial advice. Historical probabilities are not guarantees of future results. Always backtest with your own costs, fills, and risk model before using in live trading.
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Fractalyst tarafından
Altcoin Market Share vs ETH/BTCIdea from x.com on X Each colored line represents the percentage share of different altcoin baskets (excluding stablecoins) or ETH relative to either the ETH or BTC market cap (can add more, e.g. SOL or create different dashboards with Memes, AI, DeFi, you name it) I know: At first glance, this may seem noisy and complex, but it all depends on the questions you want to answer. Once you define those, much of the noise becomes irrelevant, allowing you to simplify the analysis and focus only on what matters to you. What I’ve done here is provide a few initial insights that I found useful (will isolate a couple of them in future). This analysis doesn’t tell you which specific coins to buy, but rather provides a broad market overview as a foundation. It helps guide you toward areas of relative strength or weakness. I’ve included a lot of information here, but the key is to extract the signal from the noise by asking the right questions, for example: At what point do altcoins become overvalued or undervalued against Ethereum? However, when asking these questions, it's important to remember that an overvaluation or undervaluation of Ethereum relative to altcoins tells you little about its valuation against Bitcoin or USD. These are separate questions further down the process.
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privatekapperaza tarafından
Sessions & Key LevelsAn indicator made to show: - Session Open & Close Breaks - Session Ranges/Outline (Lower transparency % in settings to show) Session times are editable in settings. - Session High's & Low's - H1 High's & Low's These are aligned with the Session Open & Close times. (Takes the H/L between the input times) Lines will fade once price touches & will be deleted once the current session ends. User can edit H1 pivot strength in settings. - Session Activity Dashboard Used to show which sessions are currently active. (Toggled off by default)
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tkytrades tarafından
Radial Basis Kernel RSI [Custom]What is the Radial Basis Kernel RSI? This indicator is a sophisticated and adaptive version of the classic Relative Strength Index (RSI). Unlike a standard RSI, which uses a simple moving average to calculate momentum, this indicator employs a powerful statistical method called a Radial Basis Function (RBF) kernel. This kernel makes the indicator's momentum line more dynamic and responsive to changing market conditions. It works by giving more weight to recent price changes that are similar to the current price action, resulting in a more intelligent and adaptive signal. The final line you see is a Double Exponential Moving Average (DEMA) of the RBF Kernel RSI, which provides extra smoothing to filter out noise and reduce false signals. How to Interpret and Use the Indicator The core purpose of this indicator is to identify potential shifts in momentum and spot overbought or oversold conditions that could precede a reversal. Buy Signal: Look for the indicator line to cross above the oversold level (default 20), which may also be marked by a green up-arrow. This suggests that the downward momentum is fading and a potential upward reversal or bounce is about to occur. Sell Signal: Look for the indicator line to cross below the overbought level (default 80), which may also be marked by a red down-arrow. This indicates that the upward momentum is overextended and a potential reversal or pullback could be coming. How Adjustments Impact the Indicator's Visual Output Think of the settings as controls that fine-tune the indicator's behavior. By adjusting them, you can make the indicator more or less sensitive to price changes. 1. RSI Kernel Length This setting controls the time frame the indicator looks at. Decrease the length: The line becomes more sensitive and "nervous." It will have more frequent, sharper swings and will enter the Overbought and Oversold zones more often. This provides more signals but can also lead to more false readings. Increase the length: The line becomes smoother and less reactive. It will take longer to change direction and will enter the extreme zones less frequently. This provides fewer signals, but they are generally considered more reliable and are better suited for identifying longer-term trends. 2. Gamma Adjustment Factor This is the unique "focus" control of the RBF kernel. Decrease the gamma factor: The line becomes smoother and more dampened. The kernel's influence is spread out, making it less reactive to sudden but minor price changes. Increase the gamma factor: The line becomes more focused and "spiky." The kernel gives a lot more weight to the most recent, similar-looking price action, which can make the line react very quickly. This can be useful for spotting quick changes but may also introduce more noise. 3. Overbought/Oversold Levels These are the trigger lines for your signals. Increase the Overbought level (e.g., from 80 to 90) or decrease the Oversold level (e.g., from 20 to 10): The indicator line will have to make a more extreme move to trigger a signal. You will get fewer signals, but the ones you do get will represent more significant and powerful moves. Decrease the Overbought level or increase the Oversold level: The line will trigger signals more easily and frequently. This can be useful in ranging markets but may lead to more false signals in strong, trending markets. 4. Moving Average Period (for DEMA) This setting controls the final smoothing of the line. Decrease the period: The final line will be more reactive and look "choppier." It will follow the underlying RBF RSI more closely, providing signals with less lag. Increase the period: The final line will be significantly smoother. It will be much slower to react to price changes, which reduces noise but can also delay your entry or exit signals.
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Cmo22 tarafından
(LES/SES) Compliment Net Volume(LES/SES) Compliment Net Volume (LES/SES) Compliment Net Volume is a volume-based confirmation tool designed to show whether buyers or sellers are truly in control behind the candles. It acts as a compliment to the Long Elite Squeeze (LES) and Short Elite Squeeze (SES) frameworks, giving traders a clearer view of momentum strength. Note! {Short Elite Squeeze (SES) Will be released in the Future} -Designed to take shorts opposite of the long trades from LES 🔹 Core Logic Net Volume Calculation – Positive volume when price closes higher, negative when price closes lower. Cumulative Smoothing – Uses a rolling SMA of cumulative differences to remove noise. Color Coding – Green → Buyer dominance Red → Seller dominance Gray → Neutral pressure 🔹 How to Use Above zero (green) → Buyers dominate → supports long setups (LES). Below zero (red) → Sellers dominate → supports short setups (SES). Flat/gray → No clear pressure → signals caution or chop. This makes it easier to confirm when market participation aligns with a potential entry or exit. 🔹 Credit The Compliment Net Volume was developed by Hunter Hammond (Elite x FineFir) as part of the LES/SES system. The concept builds on classic Net Volume and cumulative volume analysis principles shared by the TradingView community, but has been uniquely adapted into the LES/SES framework. ⚠️ Disclaimer: This is a framework tool, not financial advice. Use with proper risk management.
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ElitexFineFir tarafından
1
Ghost King v5 (9014706587)👑 Ghost King v5 is a custom-built trading indicator designed by Karthik for both intraday precision and swing trading clarity . It blends real-time responsiveness with broader trend recognition, making it a versatile tool for traders who need agility during the day and strategic insight across sessions. 🔍 Key Highlights: - Dual-purpose logic: Tailored to adapt across short-term scalping and multi-day swing setups. - Volatility-aware: Likely incorporates dynamic thresholds or session-based filters to avoid false signals during low-volume periods. - Visual clarity: Built with modular toggles and intuitive plotting, ensuring traders can quickly interpret signals without clutter. - Non-repainting architecture: Ensures stability and reliability, especially during live market conditions. - Customizable UX: Designed with user experience in mind—session awareness, error-proofing, and flexible display options. Whether you're navigating the chaos of intraday volatility or riding multi-day momentum, Ghost King v5 aims to be your strategic edge.
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K-9014706587 tarafından
2
Long Elite Squeeze (LES) — H.H 22 Lindsay (AI)LES (Long Elite Squeeze) LES (Long Elite Squeeze) is a trading framework designed to capture the highest-probability long setups. It’s not just another signal script — it’s a structured system built to filter noise, manage risk, and keep you aligned with real momentum. 🔹 Core Logic Breakout Confirmation – Ensures moves have structure, not just random spikes. Relative Volume (RVOL) – Confirms participation and fuel behind the move. RSI Alignment – Avoids overextended traps and fakeouts. Squeeze Momentum – The backbone of LES. Signals fire only after a defined squeeze pattern shift (6+ dark green bars followed by a light green bar). 🔹 Trade Management Built In Automated Sell Signals – Trigger on either: 2 consecutive dark green bars on Squeeze Momentum WaveTrend cross down (only valid after a Buy signal — no random shorts) HUD Entry Checklist – Live conditions shown on chart. Status Tracker HUD – Flips between “Waiting for Entry” and “In Trade” for clear context. 🔹 Flexibility 3 switchable squeeze versions (V1, V2, V3) for different market conditions. Customizable EMA & ATR settings (with color options). Session-aware logic — filter signals to prime trading hours. 🔹 Blueprint & Credits LES is a fusion of proven concepts, standing on the shoulders of respected creators: -Squeeze Momentum – LazyBear -WaveTrend Oscillator – LazyBear -Relative Volume – LonesomeTheBlue Breakout/structural logic – refined from classic frameworks Their work laid the foundation — LES expands and integrates them into a complete trading system. ⚡ Why LES Stands Out LES wasn’t coded overnight. It’s the result of countless hours of live testing, rebuilding, and refining. Every feature earned its place by proving value in real trading, not theory. LES is more than an indicator. It’s a disciplined framework — crafted to turn chaos into structure, randomness into probability, and noise into clarity. ⚠️ Disclaimer: This is a trading framework, not financial advice. Performance depends on trader discipline, risk management, and market conditions.
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ElitexFineFir tarafından
6
TDT Candle CounterThis indicator allows you to count candles inside a custom date range and display labels directly on the chart. It supports three different counting modes: 🔢 Modes Every Candle → Marks every bar sequentially (1, 2, 3, 4, …). Alternative Sequence → Marks bars that match the sequence 1, 5, 9, 17, 25, 37, …. Special Sequence (default) → Marks bars that match the sequence 1, 3, 7, 13, 21, 31, …. Each mode has its own color so you can quickly distinguish which cycle is active. ⚙️ Features Custom start and end date for the counting period. Option to highlight the active period with a background color. Labels are positioned above or below candles depending on the initial direction. Alerts when: Counting starts Counting ends 🎯 Use Cases Visualize candle sequences for cycle analysis. Track market structure with custom numerical references. Combine with other tools to study periodic behavior. Inspired by Time Dilation Theory (TDT) This counting approach is inspired by the Time Dilation Theory (TDT) methodology created by ICT Morpheus. According to TDT, markets unfold in cycles of 1, 3, 7, 13, 21… etc., reflecting natural rhythms of expansion, contraction, and distortion—an idea grounded in fractal time behavior across multi-timeframe analysis Incorporating TDT principles into this tool helps visualize and align potential turning points and momentum shifts across different timeframes.
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tjarzabek tarafından
1
Infinite EMA with Alpha Control♾️ Infinite EMA with Alpha Control What Makes This EMA "Infinite"? Unlike traditional EMA indicators that are limited to typical periods (1-5000), this Infinite EMA breaks all boundaries. You can create EMAs with periods of 1,000, 10,000, or even 1,000,000 bars - that's why it's called "infinite"! Also Infinite EMA starts working immediately from the very first bar on your chart Why This EMA is "Infinite": 1. Mathematically: When N → ∞, alpha → 0, meaning infinitely long "memory" 2. Practically: You can set any period - even 100,000 bars 3. Flexibility: Alpha allows precise control over the "forgetting speed" How Does It Work? The magic lies in the Alpha parameter. While regular EMAs use fixed formulas, this indicator gives you direct control over the EMA's "memory" through Alpha values: • High Alpha (0.1-0.2): Fast reaction, short memory • Medium Alpha (0.01-0.05): Balanced response • Low Alpha (0.0001-0.001): Extremely slow reaction, very long memory • Ultra-low Alpha (0.000001): Almost frozen in time The Mathematical Formula: Alpha = 2 / (Period + 1) This means you can achieve any EMA period by adjusting Alpha, giving you infinite flexibility! Expanded "Infinite EMA" Table: Period EMA (N) - Alpha (Rounded) - Alpha (Exact) - Description 10 - 0.1818 - 0.181818... - Fast EMA 20 - 0.0952 - 0.095238... - Short-term 50 - 0.0392 - 0.039215... - Medium-term 100 - 0.0198 - 0.019801... - Long-term 200 - 0.0100 - 0.009950... - Standard long-term 500 - 0.0040 - 0.003996... - Very long-term 1,000 - 0.0020 - 0.001998... - Super long-term 2,000 - 0.0010 - 0.000999... - Ultra long-term 5,000 - 0.0004 - 0.000399... - Mega long-term 10,000 - 0.0002 - 0.000199... - Giga long-term 25,000 - 0.00008 - 0.000079... - Century-scale EMA 50,000 - 0.00004 - 0.000039... - Practically motionless 100,000 - 0.00002 - 0.000019... - "Glacial" EMA 500,000 - 0.000004 - 0.000003... - Geological timescale 1,000,000 - 0.000002 - 0.000001... - Approaching constant 5,000,000 - 0.0000004 - 0.0000003... - Virtually static 10,000,000 - 0.0000002 - 0.0000001... - Nearly flat line 100,000,000 - 0.00000002 - 0.00000001... - Mathematical infinity Formula: Alpha = 2/(N+1) where N is the EMA period Key Features: Dual EMA System: Run fast and slow EMAs simultaneously Crossover Signals: Automatic buy/sell signals with customizable alerts Alpha Control: Direct mathematical control over EMA behavior Infinite Periods: From 1 to 100,000,000+ bars Visual Customization: Colors, fills, backgrounds, signal sizes Instant Start: Works accurately from the very first bar Update Intervals: Control calculation frequency for noise reduction Why Choose Infinite EMA? 1. Unlimited Flexibility: Any period you can imagine 2. Mathematical Precision: Direct alpha control for exact behavior 3. Professional Grade: Suitable for all trading styles 4. Easy to Use: Simple settings with powerful results 5. No Warm-up Period: Accurate values from bar #1 Simple Explanation: Think of EMA as a "memory system": • High Alpha = Short memory (forgets quickly, reacts fast) • Low Alpha = Long memory (remembers everything, moves slowly) With Infinite EMA, you can set the "memory length" to anything from seconds to centuries! ⚡ Instant Start Feature - EMA from First Bar Immediate Calculation from Bar #1 Unlike traditional EMA indicators that require a "warm-up period" of N bars before showing accurate values, Infinite EMA starts working immediately from the very first bar on your chart. How It Works: Traditional EMA Problem: • Standard 200-period EMA: Needs 200+ bars to become accurate • First 200 bars: Shows incorrect/unstable values • Result: Large portions of historical data are unusable Infinite EMA Solution: Bar #1: EMA = Current Price (perfect starting point) Bar #2: EMA = Alpha × Price + (1-Alpha) × Previous EMA Bar #3: EMA = Alpha × Price + (1-Alpha) × Previous EMA ...and so on Key Benefits: No Warm-up Period: Start trading signals from day one Full Chart Coverage: Every bar has a valid EMA value Historical Accuracy: Backtesting works on entire dataset New Markets: Works perfectly on newly listed assets Short Datasets: Effective even with limited historical data Practical Impact: Scenario Traditional EMA Infinite EMA New cryptocurrency Unusable for first 200 days ✅ Works from day 1 Limited data (< 200 bars) Inaccurate values ✅ Fully functional Backtesting Must skip first 200 bars ✅ Test entire history Real-time trading Wait for stabilization ✅ Trade immediately Technical Implementation: if barstate.isfirst EMA := currentPrice // Perfect initialization else EMA := alpha × currentPrice + (1-alpha) × previousEMA This smart initialization ensures mathematical accuracy from the very first calculation, eliminating the traditional EMA "ramp-up" problem. Why This Matters: For Backesters: Use 100% of available data For Live Trading: Get signals immediately on any timeframe For Researchers: Analyze complete datasets without gaps Bottom Line: Infinite EMA is ready to work the moment you add it to your chart - no waiting, no warm-up, no exceptions! Unlike traditional EMAs that require a "warm-up period" of 200+ bars before showing accurate values, Infinite EMA starts working immediately from bar #1. This breakthrough eliminates the common problem where the first portion of your chart shows unreliable EMA data. Whether you're analyzing a newly listed cryptocurrency, working with limited historical data, or backtesting strategies, every single bar provides mathematically accurate EMA values. No more waiting periods, no more unusable data sections - just instant, reliable trend analysis from the moment you apply the indicator to any chart. 🔄 Update Interval Bars Feature The Update Interval feature allows you to control how frequently the EMA recalculates, providing flexible noise filtering without changing the core mathematics. Set to 1 for standard behavior (updates every bar), or increase to 5-10 for smoother signals that update less frequently. Higher intervals reduce market noise and false signals but introduce slightly more lag. This is particularly useful on volatile timeframes where you want the EMA's directional bias without every minor price fluctuation affecting the calculation. Perfect for swing traders who prefer cleaner, more stable trend lines over hyper-responsive indicators. Conclusion The Infinite EMA transforms the traditional EMA from a fixed-period tool into a precision instrument with unlimited flexibility. By understanding the Alpha-Period relationship, traders can create custom EMAs that perfectly match their trading style, timeframe, and market conditions. The "infinite" nature comes from the ability to set any period imaginable - from ultra-fast 2-bar EMAs to glacially slow 10-million-bar EMAs, all controlled through a single Alpha parameter. ________________________________________ Whether you're a beginner looking for simple trend following or a professional researcher analyzing century-long patterns, Infinite EMA adapts to your needs. The power of infinite periods is now in your hands! 🚀 Go forward to the horizon. When you reach it, a new one will open up. - J. P. Morgan
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Sesilya tarafından
2
Darvas Box with Mid, 25% & 75% LinesThis script draws a Darvas Box. The box is drawn between Top (High) and Bottom (Low). Optionally, additional lines can be displayed: Midline (50%) → customizable color, width, and style 25% Line → customizable color, width, and style 75% Line → customizable color, width, and style This helps to quickly identify support and resistance zones inside the box. Additionally, Breakout/Breakdown arrows are drawn, and alerts can be triggered.
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morris220768 tarafından
Mikula's Master 360° Square of 12Mikula’s Master 360° Square of 12 An educational W. D. Gann study indicator for price and time. Anchor a compact Square of 12 table to a start point you choose. Begin from a bar’s High or Low (or set a manual start price). From that anchor you can progress or regress the table to study how price steps through cycles in either direction. What you’re looking at : Zodiac rail (far left): the twelve signs. Degree rail: 24 rows in 15° steps from 15° up to 360°/0°. Transit rail and Natal rail: track one planet per rail. Each planet is placed at its current row (℞ shown when retrograde). As longitude advances, the planet climbs bottom → top, then wraps to the bottom at the next sign; during retrograde it steps downward. Hover a planet’s cell to see a tooltip with its exact longitude and sign (e.g., 152.4° ♌︎). The linked price cell in the grid moves with the planet’s row so you can follow a planet’s path through the zodiac as a path through price. Price grid (right): the 12×24 Square of 12. Each column is a cycle; cells are stepped price levels from your start price using your increment. Bottom rail: shows the current square number and labels the twelve columns in that square. How the square is read The square always begins at the bottom left. Read each column bottom → top. At the top, return to the bottom of the next column and read up again. One square contains twelve cycles. Because the anchor can be a High or a Low, you can progress the table upward from the anchor or regress it downward while keeping the same bottom-to-top reading order. Iterate Square (shifting) Iterate Square shifts the entire 12×24 grid to the next set of twelve cycles. Square 1 shows cycles 1–12; Square 2 shows 13–24; Square 3 shows 25–36, etc. Visibility rules Pivot cells are table-bound. If you shift the square beyond those prices, their highlights won’t appear in the table. A/B levels and Transit/Natal planetary lines are chart overlays and can remain visible on the table as you shift the square. Quick use Choose an anchor (date/time + High/Low) or enable a manual start price . Set the increment. If you anchored with a Low and want the table to step downward from there, use a negative value. Optional: pick Transit and Natal planets (one per rail), toggle their plots, and hover their cells for longitude/sign. Optional: turn on A/B levels to display repeating bands from the start price. Optional: enable swing pivots to tint matching cells after the anchor. Use Iterate Square to shift to later squares of twelve cycles. Examples These are exploratory examples to spark ideas: Overview layout (zodiac & degree rails, Transit/Natal rails, price grid) A-levels plotted, pivots tinted on the table, real-time price highlighted Drawing angles from the anchor using price & time read from the table Using a TradingView Gann box along the A-levels to study reactions Attribution & originality This script is an original implementation (no external code copied). Conceptual credit to Patrick Mikula, whose discussion of the Master 360° Square of 12 inspired this study’s presentation. Further reading (neutral pointers) Patrick Mikula, Gann’s Scientific Methods Unveiled, Vol. 2, “W. D. Gann’s Use of the Circle Chart.” W. D. Gann’s Original Commodity Course (as provided by WDGAN.com). No affiliation implied. License CC BY-NC-SA 4.0 (non-commercial; please attribute @Javonnii and link the original). Dependency AstroLib by @BarefootJoey Disclaimer Educational use only; not financial advice.
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BlueprintResearch tarafından
6