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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
PCV5PCV5 is a round-number lattice the chart keeps tripping over. On the small clocks it hums in tight teeth—25/50/100—like gears meshing under the hood. On big clocks (and that lone 15m gate) the skeleton shows: 1000 spines, 500 ribs, with 250/750 pulse points marked inside each thousand. Everything snaps to the tick, projected both ways from the last heartbeat only. Each choir can be muted—flip a switch, the line goes silent; flip another, it sings. Not support, not resistance—just the grid the candles accidentally confess.
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samrobertson2016 tarafından
Worstfx SessionsThis indicator is designed to outline major Forex/Futures market sessions. It is built for traders who want visual clarity on sessions & important market structure zones. ✅ Features: • Automatic shading of Asia, London, Pre-NY, and NY sessions. • Centered session titles that adapt to each window. • 6:00 pm ET day divider (new trading day) with vertical weekday labels. • Lightweight design — no extra clutter, just structure. ⚙️Customization • Session colors & opacity: change each session’s look. • Titles: toggle on/off, adjust color and font size. • Dividers: toggle day divider on/off, change line color, choose weekday label color/size.
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Theworst_fx tarafından
Buy/Sell Volume BalanceDESCRIPTION Buy/Sell Volume Balance is a simple yet powerful indicator designed to measure and visualize the balance between buying and selling volume over a customizable number of recent candles. It helps traders quickly assess market pressure during consolidation phases or ranges, in order to anticipate the most likely breakout direction. How it works The indicator analyzes the last N candles (default = 100, user-editable). Each candle’s total volume is classified as: Bullish volume (Buy volume): if the candle closes above or equal to its open. Bearish volume (Sell volume): if the candle closes below its open. The volumes are summed separately to calculate: Total Buy Volume Total Sell Volume The percentage of each side relative to the total is also displayed. All results are shown in a fixed table at the top of the chart for quick interpretation. Purpose This tool is specifically designed to help traders evaluate the internal battle between buyers and sellers during a range or sideways market. By understanding which side is accumulating more volume within the range, traders can anticipate which direction is more likely when the price breaks out. If Buy volume dominates → potential bullish breakout. If Sell volume dominates → potential bearish breakout. If both sides are nearly balanced, it signals indecision and a higher chance of false breakouts. Imbalance Threshold In practice, traders often consider a clear imbalance when one side reaches at least 55–60% of the total volume. Above this threshold, the dominant side is more likely to dictate the breakout direction. Below this threshold, the market is usually in indecision and further confirmation is needed before acting. How to use it Add the indicator to your chart and choose the lookback period (number of candles). Focus on ranges or consolidation zones where price is moving sideways. Observe the balance of Buy vs Sell volume in the top-right box: A clear imbalance (>55–60%) suggests the stronger side is more likely to push the breakout. A balanced ratio (<55–60%) indicates indecision and possible false breakouts. Use it in combination with support/resistance zones, breakout patterns, or volume spikes for best results. ✅ In summary: This indicator does not give direct buy/sell signals, but it provides valuable context about market pressure, helping you to align your trades with the most probable breakout direction.
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BullBearSR tarafından
Monday Open [Bellsz]Plots the NY Monday range with box, High/Low, EQ, and Monday Open, then projects those levels forward by N bars. Clean weekly framing for liquidity targets and mean reversion. Purpose Maps the full New York Monday (00:00–23:59 NY time) and projects its High, Low, EQ (midpoint), and Monday Open forward. Use it to frame the week’s liquidity map, “magnet” levels, and mean-reversion targets with one glance. What it draws Monday Box — live-updating box for the NY Monday session (fill + border). High/Low (solid lines) — locked at Monday close and optionally extended N bars. EQ / Midline (dashed) — (High + Low) ÷ 2, extended N bars. Monday Open (solid line) — projected from Monday’s first bar, extended N bars during Monday (temporary), then replaced by a fixed Monday-Open line at session end. How it works Detects NY calendar day without dayofyear and anchors to America/New_York. Starts tracking at NY Monday 00:00; updates the box/high/low in real time. When Monday ends, the script freezes the range and plots final H/L/EQ + Open, extending each by your chosen number of bars. No lookahead; levels are only finalized after Monday completes. Inputs Extend lines (bars →) — how far to project H/L/EQ/Open into the future. Monday Box Fill / Border — style the range box. High/Low Line Color / Width — style Monday H & L. EQ Line Color / Width — style midpoint. Monday Open Color / Width — style the Monday open. Why use this indicator Weekly bias framing: Monday’s range often acts as the reference box for the week’s expansion. Liquidity targeting: Equal highs/lows and EQ act as common magnet/rebalance areas. Confluence: Combine with sessions/killzones, FVGs, order blocks, or news timing. Best practices Keep chart on your normal trading TF (M5–H1 for intraday, H4–D for swing). Watch EQ taps and previous Monday H/L sweeps Tuesday–Friday. Pair the projection length with your strategy’s average holding horizon. Notes & limitations All timing is NY session-based (America/New_York). If your symbol trades Sunday evening (futures/FX), Monday begins at 00:00 NY as coded. Market holidays that shift liquidity can affect the “feel” of Monday’s range. Works on any symbol/TF supported by TradingView. No repainting after Monday close.
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Bellsz999 tarafından
Sinusoidal Cycles OscillatorTitle: Sinusoidal Cycles Oscillator – Multi-Cycle Market Indicator Description: Discover market rhythm with the Sinusoidal Cycles Oscillator, a powerful tool for technical analysis and cyclical trading. Three customizable cycles track short, medium, and long-term market oscillations. Cycle 1 serves as the main reference wave with an optional mirror envelope. Cycles 2 & 3 provide supporting harmonics for deeper insight. Composite wave averages all cycles to reveal overall market phase. Features: Fully adjustable periods and amplitude. Visualize tops, bottoms, and turning points at a glance. Oscillator ranges from -1 to +1 with clear threshold guides. Ideal for traders using cycle analysis, harmonic trading, or market timing. Easy-to-read visual overlay and separate panel option. Use it to: Identify potential price reversals. Compare market cycles across multiple timeframes. Enhance timing and entry/exit decisions.
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egghen tarafından
9, 21, 50 EMA TN This indicator plots three exponential moving averages (EMAs) on the chart: 9 EMA (purple) – short-term trend and momentum 21 EMA (yellow) – medium-term trend 50 EMA (cyan) – long-term trend and overall market direction How it’s used: Traders look for the 9 EMA to cross above the 21 EMA as a potential bullish signal. This suggests upward momentum and may be used as confirmation for call entries. Conversely, when the 9 EMA crosses below the 21 EMA, it can indicate bearish momentum, often used as confirmation for put entries. The 50 EMA acts as a higher timeframe filter: when price and the shorter EMAs are above the 50 EMA, it confirms bullish bias; when they’re below, it confirms bearish bias. This tool helps identify short-term momentum shifts while staying aligned with the larger market trend.
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nicogamm15 tarafından
[blackcat] L3 Improved Dual Ehlers BPF for Volatility DetectionOVERVIEW This script implements an advanced L3 Improved Dual Ehlers Bandpass Filter (BPF) for volatility detection, combining both L1 and L2 calculation methods to create a comprehensive trading signal. The script leverages John Ehlers' sophisticated digital signal processing techniques to identify market cycles and extract meaningful trading signals from price action. By combining multiple cycle detection methods and filtering approaches, it provides traders with a powerful tool for identifying trend changes, momentum shifts, and potential reversal points across various market conditions and timeframes. The L3 approach uniquely combines the outputs of both L1 (01 range) and L2 (-11 range) methods, creating a signal that ranges from -1~2 and provides enhanced sensitivity to market dynamics. FEATURES 🔄 Dual Calculation Methods: Choose between L1 (01 range), L2 (-11 range), or combine both for L3 signal (-1~2 range) to match your trading style 📊 Multiple Cycle Detection: Seven different dominant cycle calculation methods including HoDyDC (Hilbert Transform Dominant Cycle), PhAcDC (Phase Accumulation Dominant Cycle), DuDiDC (Duane Dominant Cycle), CycPer (Cycle Period), BPZC (Bandpass Zero Crossing), AutoPer (Autocorrelation Period), and DFTDC (Discrete Fourier Transform Dominant Cycle) 🎛️ Flexible Mixing Options: Six sophisticated mixing methods including weighted averaging, simple sum, difference extraction, dominant-only, subdominant-only, and adaptive mixing that adjusts based on signal strength 🌊 Bandpass Filtering: Precise bandwidth control for both dominant and subdominant filters, allowing fine-tuning of frequency response characteristics 📈 Advanced Divergence Detection: Robust algorithm for identifying bullish and bearish divergences with customizable lookback periods and range constraints 🎨 Comprehensive Visualization: Extensive customization options for all signals, colors, plot styles, and display elements 🔔 Comprehensive Alert System: Built-in alerts for divergence signals, zero line crosses, and various market conditions 📊 Real-time Cycle Information: Optional display of dominant and subdominant cycle periods for educational purposes 🔄 Adaptive Signal Processing: Dynamic adjustment of parameters based on market conditions and volatility 🎯 Multiple Signal Outputs: Simultaneous generation of L1, L2, and L3 signals for different trading strategies HOW TO USE Select Calculation Method: Choose between "l1" (01 range), "l2" (-11 range), or "both" (L3, -1~2 range) in the Calculation Method settings based on your preferred signal characteristics Configure Cycle Detection: Select your preferred Dominant Cycle Method from the seven available options and adjust the Cycle Part parameter (0.1-0.9) to fine-tune cycle sensitivity Set Subdominant Parameters: Configure the subdominant cycle either as a ratio of the dominant cycle or as a fixed period, depending on your analysis approach Adjust Filter Bandwidth: Fine-tune the bandwidth settings for both dominant and subdominant filters (0.1-1.0) to control the frequency response and signal smoothing Choose Mixing Method: Select how to combine the filters - weighted averaging for balance, sum for maximum sensitivity, difference for trend isolation, or adaptive mixing for dynamic response Configure Smoothing: Select from SMA, EMA, or HMA smoothing methods with adjustable length (1-20 bars) to reduce noise in the final signal Customize Visualization: Enable/disable individual plots, divergence detection, zero line, fill areas, and customize all colors to match your chart preferences Set Divergence Parameters: Configure lookback ranges (5-60 bars) for divergence detection to match your trading timeframe and style Monitor Signals: Watch for crosses above/below zero line and divergence patterns, paying attention to signal strength and consistency Set Up Alerts: Configure alerts for divergence signals, zero line crosses, and other market conditions to stay informed of trading opportunities LIMITATIONS The script requires the dc_ta library from blackcat1402 for several advanced cycle calculation methods (HoDyDC, PhAcDC, DuDiDC, CycPer, BPZC, AutoPer, DFTDC) L1 method operates in 01 range while L2 method uses -11 range, requiring different interpretation approaches Combined L3 signal ranges from -1~2 when both methods are selected, creating unique signal characteristics that traders must adapt to Divergence detection accuracy depends on proper lookback period settings and market volatility conditions Performance may be impacted with very long lookback ranges (>60 bars) or when multiple plots are simultaneously enabled The script is designed for non-overlay use and may not display correctly on certain chart types or with conflicting indicators Adaptive mixing method requires careful threshold tuning to avoid excessive signal fluctuation Cycle detection algorithms may produce unreliable results during low volatility or highly choppy market conditions The script assumes regular price data and may not perform optimally with irregular or gapped price sequences NOTES The script implements advanced mathematical calculations including bandpass filters, Hilbert transforms, and various cycle detection algorithms developed by John Ehlers For optimal results, experiment with different cycle detection methods and bandwidth settings across various market conditions and timeframes The adaptive mixing method automatically adjusts weights based on signal strength, providing dynamic response to changing market conditions Divergence detection works best when the "Plot Divergence" option is enabled and when combined with other technical analysis tools Zero line crosses can indicate potential trend changes or momentum shifts, especially when confirmed by volume or other indicators The script includes commented code for cycle information display that can be enabled if you want to monitor cycle periods in real-time Different calculation methods may perform better in different market environments - L1 tends to be smoother while L2 is more sensitive The subdominant cycle helps filter out noise and provides additional confirmation for signals generated by the dominant cycle Bandwidth settings control the filter's frequency response - lower values provide more smoothing while higher values increase sensitivity Mixing methods offer different approaches to combining signals - weighted averaging is generally most reliable for most trading applications THANKS Special thanks to John Ehlers for his pioneering work in cycle analysis and digital signal processing for financial markets. This script implements and significantly improves upon his bandpass filter methodology, incorporating multiple advanced techniques from his extensive body of work. Also heartfelt thanks to blackcat1402 for the dc_ta library that provides essential cycle calculation methods and for maintaining such a valuable resource for the Pine Script community. Additional appreciation to the TradingView platform for providing the tools and environment that make sophisticated technical analysis accessible to traders worldwide. This script represents a collaborative effort in advancing the field of algorithmic trading and technical analysis.
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blackcat1402 tarafından
Jackson Hole Meetings - Lines and LabelsThis TradingView Pine Script indicator marks the dates of the Federal Reserve’s annual Jackson Hole Economic Symposium meetings on your chart. For each meeting date from 2020 through 2025, it draws a red dashed vertical line directly on the corresponding daily bar. Additionally, it places a label above the bar indicating the year of the meeting (e.g., "JH 2025"). Features: Marks all known Jackson Hole meeting dates from 2020 to 2025. Draws a vertical dashed line on each meeting day for clear visual identification. Displays a label above the candle with the meeting year. Works best on daily timeframe charts. Helps traders quickly spot potential market-moving events related to Jackson Hole meetings. Use this tool to visually correlate price action with these key Federal Reserve events and enhance your trading analysis.
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nishilp017 tarafından
FVG Zones – shrink on fill (bull/bear)Detects classic 3-candle FVGs (ICT definition). Draws zones as boxes that extend to the right. On each bar close: Checks overlap with the current candle. Shrinks the zone when price wicks into it (bullish: top moves down; bearish: bottom moves up). Deletes the zone once it’s completely filled/closed. Inputs: bullish/bearish zone color, border color, and max number of visible FVGs. Possible extensions: Multi-timeframe FVGs (e.g. H1 FVGs shown on M5). Separate limits for bullish and bearish zones. Alerts for new FVG, partial fill, or closed FVG. Option “Body only” (ignore wicks when detecting overlap). Minimum FVG size filter (ticks/ATR).
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ONI-trades tarafından
Inicio de Semana (línea vertical completa)This indicator plots a vertical line at the start of each new trading week. The line extends across the entire chart window, making it easy to visually identify weekly boundaries. Key features: Full-height vertical lines marking the beginning of every week. Customizable color, width, and style (solid, dotted, or dashed). Works on any timeframe (daily, intraday, etc.), automatically adjusting to weekly changes. Purpose: This tool is designed to help traders quickly spot the start of a new trading week, improving time-based analysis and making it easier to evaluate price action, weekly cycles, and strategy performance.
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franjaparedes90 tarafından
Liquidity-Weighted Business Cycle (Satoshi Global Base)🌍 BTC-Affinity Global Liquidity Business Cycle (MACD Model) This indicator models Bitcoin’s macroeconomic business cycle using a BTC-weighted global liquidity index as its foundation. It adapts a MACD-based framework to visualize expansions and contractions in fiat liquidity across major economies with high Bitcoin affinity. 🔍 What It Does: 🧠 Constructs a Global M2 Liquidity Index from the top 10 most BTC-relevant fiat currencies (USD, EUR, JPY, GBP, INR, CNY, KRW, BRL, CAD, AUD) — each weighted by its Bitcoin adoption score and FX-converted into USD. 📊 Applies a MACD (Moving Average Convergence Divergence) signal to the index to detect macro liquidity trends. 🟢 Plots a histogram of business cycle momentum (red = expansion, green = contraction). 🔴 Marks potential cycle peaks, useful for macro trading alignment. ⚖️ BTC Affinity-Weighted Countries: 🇺🇸 United States 🇪🇺 Eurozone 🇯🇵 Japan 🇬🇧 United Kingdom 🇮🇳 India 🇨🇳 China 🇰🇷 South Korea 🇧🇷 Brazil 🇨🇦 Canada 🇦🇺 Australia Weights are user-adjustable to reflect evolving capital controls, regulation, and real-world BTC adoption trends. ✅ Use Cases: Confirm macro risk-on vs risk-off regimes for BTC and crypto. Identify ideal entry and exit zones in macro pair trades (e.g., MSTR vs MSTY). Monitor how global monetary expansion feeds into BTC valuations.
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TheGoldphoenix tarafından
1
US Liquidity-Weighted Business Cycle📈 BTC Liquidity-Weighted Business Cycle This indicator models the Bitcoin macro cycle by comparing its logarithmic price against a log-transformed liquidity proxy (e.g., US M2 Money Supply). It helps visualize cyclical tops and bottoms by measuring the relative expansion of Bitcoin price versus fiat liquidity. 🧠 How It Works: Transforms both BTC and M2 using natural logarithms. Computes a liquidity ratio: log(BTC) – log(M2) (i.e., log(BTC/M2)). Runs MACD on this ratio to extract business cycle momentum. Plots: 🔴 Histogram bars showing cyclical growth or contraction. 🟢 Top line to track the relative price-to-liquidity trend. 🔴 Cycle peak markers to flag historical market tops. ⚙️ Inputs: Adjustable MACD lengths Toggle for liquidity trend line overlay 🔍 Use Cases: Identifying macro cycle tops and bottoms Timing long-term Bitcoin accumulation or de-risking Confirming global liquidity's influence on BTC price movement Note: This version currently uses US M2 (FRED:M2SL) as the liquidity base. You can easily expand it with other global M2 sources or adjust the weights.
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TheGoldphoenix tarafından
BTC Regime Phase [HY|YC|GLI]The correlation between global liquidity and INDEX:BTCUSD has attracted a lot of attention. Building on this insight, I developed an indicator that not only tracks global liquidity but also integrates the high‑yield spread and yield‑curve slope to capture credit risk and growth expectations. Essence and Logic At its core, the Risk‑On Composite Z‑Score converts three macro factors global liquidity momentum, the US high‑yield spread and the slope of the US yield curve into standardized Z‑scores, weights them, and tracks moving‑average crossovers. Each factor has a rationale: high‑yield spreads are powerful business‑cycle indicators and often outperform other financial variables (Gertler & Lown, 2000). Yield‑curve steepness reflects investor optimism and prompts shifts toward riskier assets global liquidity drives cross‑border flows and risk sentiment (Goldberg, 2023; Lee, 2024). Combining these measures gives a composite signal that has historically aligned well with Bitcoin’s tops and bottoms. Usable also for other crypto coins: INDEX:ETHUSD CRYPTO:SOLUSD CRYPTO:LINKUSD Limitations and My Current Model Outlook I want to be transparent: the three model sections are highly correlated. Currently, the high‑yield spread and yield curve data come only from the US; I may add Euro or Japanese spreads later. I’m also aware that macro dynamics are evolving. Fiscal policy and political choices could shorten bear markets and make the current sell signals less relevant. In a stagflationary world, inflation‑adjusted liquidity may swing more violently and require an asset‑inflation adjustment. Yet, the model has captured Bitcoin’s tops and bottoms almost to the week—future patterns may rhyme, not repeat. Questions and Ideas: Do you think this model will still be useful as fiscal and monetary regimes shift? Should I add a stagnation modulation perhaps real yields or inflation‑adjusted liquidity—to better capture a stagflation scenario? Are there high‑yield spreads on TV beyond the US that I should include? (Euro and Japan indices do exist.) Would it make sense to incorporate Bitcoin halving events or a stock‑to‑flow module? The indicator is free to use. If it brings you value, you’re welcome to follow for updates. I appreciate your support and feedback. When you are interested in the source code, feel free to contact me for more details. When you feel like supporting me with some sats, contact me and I will give you a Lightning address. I am a student and that would help a lot – but please only if you can afford it! ♡ Thanks to everyone who contributes insight on TradingView ♡ © Robinhodl21 Features: Users can enable or disable each component, adjust weights and choose a short‑tenor (1‑year or 2‑year) for the yield curve. The script automatically scales lookback windows based on the chart timeframe (daily, weekly or monthly). It offers visual plots of each Z‑score, the composite score, and smoothed moving averages, with background colours highlighting regimes and markers for entries and exits. Trade logic includes optional dip‑buy triggers when the composite falls below a threshold, Friday‑only execution on daily charts to reduce whipsaws. A trend table summarises current Z‑scores and their trends. Settings are tuned for BTC weekly data but should be adjusted for other assets or timeframes. Because some inputs (e.g., GLI weights) have limited historical data, long backtests may be less reliable when using on other Risk On Assets like NASDAQ:NDX NCDEX:COPPER ‼ Disclaimer: This indicator is for educational purposes and does not constitute investment advice. Markets involve risk; past performance is not indicative of future results. Users should not rely solely on this script for trading decisions. Always test and adapt settings to your asset, timeframe and risk tolerance. The author assumes no liability for any trading losses. Literature: Gertler, M., & Lown, C. S. (2000). The information in the high yield bond spread for the business cycle: Evidence and some implications. NBER Working Paper 7549. Lee, B. (2024). Staying ahead of the yield curve. CME Group. McCauley, R. N. (2012). Risk‑on/risk‑off, capital flows, leverage and safe assets. BIS Working Paper 382. Goldberg, L. (2023). Global liquidity: Drivers, volatility and toolkits. Federal Reserve Bank of New York Staff Report 1064. FRED (2025). ICE BofA Euro High Yield Index Option‑Adjusted Spread (BAMLHE00EHYIOAS). St. Louis Fed Data. Office of Financial Research (2025). Financial Stress Index sources: High yield indices.. Tashev, T. (2025). The Bitcoin Stock‑to‑Flow Model: A comprehensive guide. Webopedia.
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Robinhodl21 tarafından
1