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חפש סקריפטים עבור "Cycle"

cephxs / Quarterly Theory [Ultimate +]QUARTERLY THEORY Multi-cycle Sequential SMT divergence analysis with 7-layer time fractal detection, PSP swing points, CISD momentum tracking, Purge visualization, and a comprehensive alert system with preset combinations. This indicator is subject to the terms of the Mozilla Public License 2.0. WHAT IT DOES The Quarterly Theory indicator maps Trader Daye's time-based market cycles—from Monthly down to Nano—and detects SSMT (Sequential SMT) divergences across correlated assets within each cycle. It tracks when your chart asset and its correlated pairs disagree on highs and lows, often preceding significant reversals. This is NOT a signal generator. It is a divergence detection tool designed to show you WHEN correlated markets are disagreeing within the natural rhythm of time cycles—information that helps identify high-probability turning points. -- IMAGE: Main indicator view showing SSMT lines across multiple cycles -- CORE CONCEPTS Quarterly Theory Time Cycles The indicator tracks 7 nested time cycles based on ICT/Daye's Quarterly Theory: Monthly: Week-based quarters within each month (Q1-Q4) Weekly: Daily quarters within each trading week Daily: Session-based quarters (Asia, London, NY AM, NY PM) 90m: 90-minute cycles divided into quarters (~22.5 minutes each) 30m: 30-minute cycles (90m divided by 3) Micro: 64 sessions per day (~22.5 minutes each) Nano: 256 sessions per day (~5-6 minutes each) - optional high-resolution mode (basically each Micro session divided by 4) Each cycle has its own SSMT detection, allowing you to see divergences across multiple time fractals simultaneously. SSMT (Sequential SMT) Divergences SSMT tracks when correlated assets disagree on extremes within a time cycle: Bullish SSMT: Primary asset makes a lower low while correlated asset makes a higher low Bearish SSMT: Primary asset makes a higher high while correlated asset makes a lower high Lines connect the divergent extremes, providing visual confirmation of market disagreement. Normal vs Hidden Divergences Normal: Wick-based extremes—traditional SMT comparing session highs and lows Hidden: Body-based extremes—more selective, comparing close prices for stronger signals according to some. You can display Normal only, Hidden only, or Both for maximum information—flexible. All of these lines have robust labels and dual label handling for when correlations occur with two of the assets in the triad at once to avoid collision. PSP (Precision Swing Points) A PSP is not just a pivot—it is a pivot WITH a divergence on the closure. When one asset makes a new high or low but correlated assets FAIL to confirm, the pivot becomes a Precision Swing Point. These often mark significant turning points. It also highlights PSPs that are not divergences for even more advanced analyses and alerts. Example: ES closes bullish on a candle, but NQ closes bearish. If this occurs at a pivot point, the C2 candle is flagged as a PSP on the chart itself. The indicator also allows one to filter PSPs based on proximity to an existing SMT Divergence. CISD (Change In State of Delivery) CISD identifies momentum shifts after pivot formation by detecting opposing candle stretches and confirming when price closes beyond the stretch level. This helps validate directional commitment. It uses a custom pivot system to track originating trends. Purge Detection Purges occur when price sweeps through a previous pivot level (liquidity grab). The indicator tracks these events with solid/dotted line visualization and optional alerts. KEY FEATURES 7-Layer Cycle Detection: Monthly, Weekly, Daily, 90m, 30m, Micro, and Nano cycles all computed simultaneously Auto Timeframe Gating: Automatically shows relevant cycles based on your chart timeframe. On 15m, you see Daily SSMT. On 1m, you see Micro and 30m SSMT. Dual Detection Modes: Normal (wick) and Hidden (body) divergence detection per cycle Automatic Asset Correlation: Uses the same AssetCorrelationUtils library as our other tools—auto-detects correlated pairs or configure manually Per-Cycle Colors: Customize bull/bear colors for each cycle level Pivot Time Labels: Optional time labels at swing points with key time highlighting Purge Visualization: Solid lines for confirmed purges, dotted extensions while active CISD with Size Filter: ATR-based filtering to ignore insignificant stretches THE ALERT SYSTEM The Quarterly Theory indicator provides a comprehensive alert system with multiple layers: Individual Event Alerts Swing High/Low: Alert when a new pivot forms Purge High/Low: Alert when price sweeps through a pivot level CISD Pending/Confirmed: Alert on momentum shift detection SSMT per Cycle: Individual alerts for Monthly, Weekly, Daily, 90m, 30m, Micro divergences CISD Model Combo Alerts Pre-built alert presets that combine SSMT + CISD confirmation per cycle: Monthly SSMT + CISD Weekly SSMT + CISD Daily SSMT + CISD 90m SSMT + CISD 30m SSMT + CISD Micro SSMT + CISD Stacked (multiple cycles aligning) PSP Model Combo Alerts Alerts when a Precision Swing Point forms with SSMT confirmation: PSP + SSMT per cycle PSP + Stacked SSMT (multiple cycles) Directional filtering (bullish/bearish only) Alert Kitchen - Custom Combos Build your own alert conditions by combining: Any cycle level (or multiple) Direction (bullish/bearish/both) Detection type (Normal/Hidden/Both) Additional filters (CISD, PSP, Purge/Sweep) Session Filter Restrict alerts to specific trading sessions: Asia, London, NY AM, NY PM, London + NY, or define a custom time window. -- IMAGE: Alert settings panel -- Will be streamlining the inputs to allow for an improved UX. HOW TO USE IT Getting Started (2 minutes) Add the indicator to your chart SSMT lines will appear automatically based on your timeframe Each colored line represents a divergence at that cycle level Labels show the cycle name and/or correlated asset Understanding the Display Lines connecting highs = Bearish SSMT (potential reversal down) Lines connecting lows = Bullish SSMT (potential reversal up) Solid lines = Normal divergence (wick-based) Dotted lines = Hidden divergence (body-based) Line color = Cycle level (customizable per cycle) Adjusting Timeframe Visibility Auto: Shows only the most relevant cycle for your chart TF All: Shows all enabled cycles regardless of chart TF Extended: Broader visibility ranges per cycle Custom: Define exact min/max TF ranges per cycle Configuring Asset Correlation Go to Asset Selection settings Set to Auto (detects correlated assets automatically) Or set to Manual and enter custom ticker symbols Use Invert Asset 3 for inverse correlations (e.g., DXY vs EUR/USD) Pro Tips Start with Auto timeframe gating to reduce clutter Focus on one or two cycle levels until you understand the rhythm Enable Hidden divergence for higher-probability signals Use the Directional Bias Filter to focus on one direction only The Status Bar shows current cycle states at a glance -- IMAGE: Status bar showing active cycles vs when it's not active -- INPUT SETTINGS OVERVIEW These inputs may change as updates roll out with improvements. Visual Preset Preset options: SSMT Only, SSMT + CISD, SSMT + Purge, CISD + Purge, All Features Directional Bias Filter: All, Bullish only, Bearish only SSMT Plots (Section 2) Show SSMT master toggle Labels toggle with size and color Label Mode: Cycle + Asset, Cycle only, Asset only Timeframe Gating: Auto, All, Extended, Custom Detection Mode: Normal, Hidden, All Per-cycle toggles and colors (Monthly through Nano) Min/Max TF ranges for Custom mode Pivot & PSP Settings (Section 3) Show swing high/low shapes Shape styles and colors Show pivot lines with crossing style PSP highlighting options Pivot Time Labels (Section 3.5) Show Time Labels toggle Key time highlighting (macros) Label styling options Purge Settings (Section 4) Show purge lines Solid/dotted line styles Line colors for bull/bear CISD Settings (Section 5) Show CISD toggle Maximum CISDs displayed Size filter (ATR-based) Bull/bear colors Alert Sections (6-11) Master switches Session filter Individual event alerts CISD model combos PSP model combos Alert Kitchen custom combos Asset Selection (Section 12) Correlation Preset: Off, Auto, Manual Manual Asset 1/2/3 inputs Invert Asset 3 for inverse correlations Status Bar (Section 13) Position, size, colors Shows active cycle states SUPPORTED MARKETS The built-in correlation library automatically detects pairs for: Index Futures: NQ/ES/YM/RTY and micro variants Forex: EUR/GBP/DXY triad, USD/JPY/CHF triad, CAD pairs Crypto: BTC/ETH/TOTAL3, SOL/XRP pairs, major alts Metals: Gold/Silver/Copper Energy: Crude/Gasoline/Heating Oil Treasuries: ZB/ZF/ZN For assets not covered, use Manual mode to define your own correlation group. AUTOMATICALLY RECOMMENDED TIMEFRAMES 1m: See Micro and 30m cycles 3m-5m: See 90m and 30m cycles 15m: See Daily cycle 1H: See Weekly cycle 4H: See Monthly cycle Use Extended or Custom mode to see multiple cycles simultaneously. TERMINOLOGY QUICK REFERENCE QT: Quarterly Theory (time-based cycle analysis) SSMT: Sequential SMT (divergence within a time cycle) SMT: Smart Money Technique (divergence between correlated assets) PSP: Precision Swing Point (pivot with divergence) CISD: Change In the State of Delivery (confirmed directional shift) Purge: Liquidity sweep through a pivot level Normal: Wick-based divergence detection Hidden: Body-based divergence detection Q1/Q2/Q3/Q4: Quadrants within each cycle PERFORMANCE NOTES Micro cycle (64 sessions) adds significant computation load and makes the tool unbearably slow—disable if not needed 30m cycle (48 sessions) is an alternative to Micro with less load Nano cycle (256 sessions) is optional and only active below 1m timeframes Use Auto timeframe gating to reduce unnecessary computations A bar limiter is implemented at the bottom for performance considerations, prioritizing real-time analysis. DISCLAIMER This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before making trading decisions. CREDITS Developed by cephxs and fstarcapital Uses AssetCorrelationUtils library by fstarcapital for automatic correlation detection Conceptual Credits This Indicator uses Concepts by the Inner Circle Trader, Michael Huddleston. This Indicator uses concepts from Quarterly Theory as taught by TraderDaye. VERSION PineScript v6 | Ultimate+ Edition
אינדיקטור Pine Script®
מאת ‎fstarcapital‎
Continuous Partial Buying Signals v7.1🇬🇧 English Description: Continuous Partial Buying Signals v7.1 This indicator is built on a long-term accumulation philosophy , not a traditional buy-sell strategy. Its main purpose is to systematically increase your position in an asset you believe in by identifying significant price drops as buying opportunities. It is a tool designed for long-term investors who want to automate the "buy the dip" or "Dollar Cost Averaging (DCA)" mindset. How It Works The logic follows a simple but powerful cycle: Find a Peak -> Wait for a Drop -> Signal a Buy -> Wait for a New Peak. 1. Identifies a Significant Peak: Instead of reacting to minor price spikes, the indicator looks back over a user-defined period (e.g., the last 200 candles) to find the highest price. This stable peak (marked with an orange circle) becomes the reference point for the current cycle. 2. Waits for a Pullback: The indicator then calculates the percentage drop from this locked-in peak. 3. Generates Buy Signals: When the price drops by the percentages you define (e.g., -5% and -10%), it plots a "BUY" signal on the chart. It will only signal once per level within the same cycle. 4. Resets the Cycle: This is the key. If the price recovers and establishes a new significant peak higher than the previous one, the entire cycle resets. The new peak becomes the new reference, and the buy signals are re-armed, allowing the indicator to perpetually find new buying opportunities in a rising market. How to Get the Most Out of This Indicator * Timeframe: It is highly recommended to use this on higher timeframes (4H, Daily, Weekly) to align with its long-term accumulation philosophy. * Peak Lookback Period: * Higher values (200, 300): Create more stable and less frequent signals. Ideal for long-term, patient investors. * Lower values (50, 100): More sensitive to recent price action, resulting in more frequent cycles. * Drop Percentages: Adjust these based on the asset's volatility. * Volatile assets (Crypto): Consider larger percentages like 10%, 20%. * Less volatile assets (Stocks, Indices): Smaller percentages like 3%, 5%, 8% might be more appropriate. This indicator is a tool for disciplined, emotion-free accumulation. It does not provide sell signals.
אינדיקטור Pine Script®
מאת ‎bbbirkan‎
1
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal. Purpose of the Indicator MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior. Why a Trader Should Use It Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky. Why These Components Were Chosen Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise. Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1. Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale. Market Mode (Regime) : Based on those ranks, MERV classifies the market: Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity. Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market. Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy. The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral. Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions. What Makes MERV Stand Out Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique. Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers. Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds. Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals. Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other. Recommended Timeframes MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice: Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends. Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles. Scalpers might find MERV too “slow” unless input lengths are set very low. In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas. How the Scoring/Logic Works (Step-by-Step) Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy. Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are. Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on . Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line. Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action. Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value. Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only. Oscillator Plot – How to Read It The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element: Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed. Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength. Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close. Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero. Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable. Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime. Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star). Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance. Dashboard (Fixed Corner Panel) MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows: Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high). Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line. Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle. Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly. Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color. Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low. Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe. In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state. Real-Life Example Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case. Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve. Example: How It Looks in Action Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m) What it means: The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume. Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h) What it means: This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success. Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m) What it means: The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping. Settings and Inputs The script is fully open-source; here are key inputs the user can adjust: Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity. Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect. Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action. Show Heatmap : Toggles the entropy background coloring on/off. Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red). Show Mode Bar : Turn the bottom mode bar on/off. Show Dashboard : Turn the fixed table panel on/off. Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired. Oscillator Interpretation (Recap) Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile). Fill : Orange tinted area between them (for visual emphasis). Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom). Star Line : White star = ideal conditions, Gold = good but not ideal. Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric. Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly. Disclaimer This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly. -BullByte
אינדיקטור Pine Script®
מאת ‎BullByte‎
6
Quarterly Theory [@kaleboraciy]🧠 Daye Quarterly Theory is based on the idea that markets often move in repeating cycles. Each part of the cycle reflects a stage of the market Consolidation Manipulation Distribution Reversal/Continuation This is a classic AMD-X pattern, which is widely used in SMC & ICT concepts. By spotting these phases, traders can better understand where the market might be heading next. ⭐ An important feature of this indicator is the Fibonacci levels, which are calculated in a clever way on the Q1 part of each cycle. You can use this levels for precise entries on manipulation in Q2 📖 Now I want to give brief description of each cycle: Daily Cycle - the day can be broken down into 6 hour quarters Q1 - 18:00 - 00:00 Asia. Q2 - 00:00 - 06:00 London (True Open). Q3 - 06:00 - 12:00 NY AM. Q4 - 12:00 - 18:00 NY PM. Pro tips: Q2 often lines up with the session’s True Open - a key reference for directional bias. Q3 tends to show the most directional momentum during the trading day. Q4 is a critical zone for judging whether the day will extend the move or retrace. Weekly Cycle - Daye determined that although the trading week is composed of 5 trading days, we should ignore Friday, and the small portion of Sunday’s price action: Q1 - Monday Q2 - Tuesday (True Open, Daily Candle Open Price). Q3 - Wednesday. Q4 - Thursday. Pro tips: Wednesday (Q3) often provides the week’s strongest directional movement - many trades target this zone. Tuesday’s manipulation (Q2) may shake out weak positions or set up the directional swing - be careful Thursday (Q4) helps confirm whether the weekly trend continues or reverses. Monthly Cycle - considering that we have four weeks in a month, we start the cycle on the first Monday of the month (regardless of the calendar Day): Q1 - Week 1: first Monday of the month. Q2 - Week 2: second Monday of the month (True Open, Daily Candle Open Price). Q3 - Week 3: third Monday of the month. Q4 - Week 4: fourth Monday of the month. I hope, that this awesome tool will boost your trading 💰
אינדיקטור Pine Script®
מאת ‎kaleboraciy‎
Cyclic Reversal Engine [AlgoPoint]Overview Most indicators focus on price and momentum, but they often ignore a critical third dimension: time. Markets move in rhythmic cycles of expansion and contraction, but these cycles are not fixed; they speed up in trending markets and slow down in choppy conditions. The Cyclic Reversal Engine is an advanced analytical tool designed to decode this rhythm. Instead of relying on static, lagging formulas, this indicator learns from past market behavior to anticipate when the current trend is statistically likely to reach its exhaustion point, providing high-probability reversal signals. It achieves this by combining a sophisticated time analysis with a robust price-action confirmation. How It Works: The Core Logic The indicator operates on a multi-stage process to identify potential turning points in the market. 1. Market Regime Analysis (The Brain): Before analyzing any cycles, the indicator first diagnoses the current "personality" of the market. Using a combination of the ADX, Choppiness Index, and RSI, it classifies the market into one of three primary regimes: - Trending: Strong, directional movement. - Ranging: Sideways, non-directional chop. - Reversal: An over-extended state (overbought/oversold) where a turn is imminent. 2. Adaptive Cycle Learning (The "Machine Learning" Aspect): This is the indicator's smartest feature. It constantly analyzes past cycles by measuring the bar-count between significant swing highs and swing lows. Crucially, it learns the average cycle duration for each specific market regime. For example, it learns that "in a strong trending market, a new swing low tends to occur every 35 bars," while "in a ranging market, this extends to 60 bars." 3. The Countdown & Timing Signal: The indicator identifies the last major swing high or low and starts a bar-by-bar countdown. Based on the current market regime, it selects the appropriate learned cycle length from its memory. When the bar count approaches this adaptive target, the indicator determines that a reversal is "due" from a timing perspective. 4. Price Confirmation (The Trigger): A signal is never generated based on timing alone. Once the timing condition is met (the cycle is "due"), the indicator waits for a final price-action confirmation. The default confirmation is the RSI entering an extreme overbought or oversold zone, signaling momentum exhaustion. The signal is only triggered when Time + Price Confirmation align. How to Use This Indicator - The Dashboard: The panel in the bottom-right corner is your command center. - Market Regime: Shows the current market personality analyzed by the engine. - Adaptive Cycle / Bar Count: This is the core of the indicator. It shows the target cycle length for the current regime (e.g., 50) and the current bar count since the last swing point (e.g., 45). The background turns orange when the bar count enters the "due zone," indicating that you should be on high alert for a reversal. - BUY/SELL Signals: A label appears on the chart only when the two primary conditions are met: The timing is right (Bar Count has reached the Adaptive Cycle target). The price confirms exhaustion (RSI is in an extreme zone). A BUY signal suggests a downtrend cycle is likely complete, and a SELL signal suggests an uptrend cycle is likely complete. Key Settings - Pivot Lookback: Controls the sensitivity of the swing point detection. Higher values will identify more significant, longer-term cycles. - Market Regime Engine: The ADX, Choppiness, and RSI settings can be fine-tuned to adjust how the indicator classifies the market's personality. - Require Price Confirmation: You can toggle the RSI confirmation on or off. It is highly recommended to keep it enabled for higher-quality signals.
אינדיקטור Pine Script®
מאת ‎Iamalala‎
9
90/30 Minute Cycle BoxesThis indicator automatically draws time-based cycle boxes to help visualize market structure and cyclical behavior. Features: 90-Minute Primary Cycles: Highlights each 90-minute interval with a colored box, showing the high and low of that period. 30-Minute Sub-Cycles: Each 90-minute box is divided into 3 sub-boxes representing 30-minute phases. Multi-Timeframe Compatible: Works on all timeframes, adapting dynamically to your chart. Visual Clarity: Alternating box colors make it easy to track price action within and across cycles. This tool is ideal for traders who use time cycles in their analysis, especially those applying ICT, Smart Money Concepts, or time-based market theories.
אינדיקטור Pine Script®
מאת ‎fernando77castroo‎
Bitcoin Destiny Line Model v1.1The Bitcoin Destiny Line Model Table of Contents 1. Overview 2. Analytical and Technical Techniques Employed 3. Objectives of the Bitcoin Destiny Line Model 4. Key Technical Components and Functionalities 4.1. Bitcoin Destiny Line and Heatmap 4.2. Halving Cycles Markers 4.3. Dynamic Repricing Rails with Diminishing Volatility Adjustment 4.4. Seasonal Dynamics 4.5. Support and Resistance Zones 4.6. Market Action Indicators 4.7. Cycle Projections 4.8. Heatmap Only 5. Settings 6. Different Strategies to Utilize the Model 6.1. Value-Based Entry Strategy 6.2. Long-Term Position Strategy 6.3. Scaling Out Strategy 6.4. Portfolio Rebalancing Strategy 6.5. Bear Market Strategy 6.6. Short-Term Trading Strategy 7. Recommendations and Disclosures 1. Overview The Bitcoin Destiny Line Model is a technical analysis toolset designed exclusively for Bitcoin. It integrates a comprehensive suite of analytical methodologies to provide deep insights into Bitcoin's market dynamics focusing on long-term investment strategies. By analyzing historical data through various technical frameworks, the model helps investors gain insight into the current market structure, cycle dynamics, direction, and trend of Bitcoin, assisting investors and traders with data-driven decision-making. 2. Analytical and Technical Techniques Employed The model integrates a range of analytical techniques: Cycle Analysis - Centers on the Bitcoin halving event to anticipate phases within the Bitcoin cycle. Logarithmic Regression Analysis - Calculates the logarithmic growth of Bitcoin over time. Standard Deviation - Measures how significantly the price action differs from the long-term logarithmic trend. Fibonacci Analysis - Identifies support and resistance levels. Multi-Timeframe Momentum - Analyzes overbought or oversold conditions across multiple periods. Trendlines - Draws trendlines from expected cycle lows to expected cycle highs extending logarithmic and deviation lines into the future as projection lines. 3. Objectives of the Bitcoin Destiny Line Model The model is crafted to deliver an empirical framework for Bitcoin investing: Bitcoin Market Structure - Offers insights into Bitcoin’s market structure. Identify Value Opportunities and Risk Areas - Pinpoints potential value-entry opportunities and recognizes when the market is over-extended. Leverage Market Cycles - Utilizes knowledge of Bitcoin’s seasonal dynamics and halving cycles to inform investment strategies. Mitigate Downside Risk - Provides indicators for potential market corrections, aiding in risk management and avoidance of buying at peak prices. 4. Key Technical Components and Functionalities 4.1. Bitcoin Destiny Line and Heatmap The cycle low to cycle high line with a risk-based color-coded heatmap serves as a central reference for Bitcoin’s price trajectory. It emphasizes the long-term trend indicating areas of value in cool colors and areas of risk in warm colors. 4.2. Halving Cycles Markers Bitcoin halving events are marked on the chart with vertical lines forming anchor points for cycle analysis. 4.3. Dynamic Repricing Rails with Diminishing Volatility Adjustment Repricing rails based on the long-term logarithmic trend highlight the rails on which Bitcoin's price will reprice up or down. Adjusts to the diminishing volatility of the asset over time as it matures. 4.4. Seasonal Dynamics Integrates Bitcoin's inherent seasonal trends to provide additional context for market conditions aligning with broader market analysis. Understanding Bitcoin’s seasons: Spring Awakening - The initial recovery phase where the market begins to rebound from a bear market showing early signs of improvement. This is an ideal time for cautious optimism. Investors should consider gradually increasing their positions in Bitcoin, focusing on accumulation as confidence in market recovery grows. Blossom Boom - A market bottom has been confirmed by now and market interest continues to pick up ahead of the Bitcoin halving. This typically presents a great opportunity for investors to position themselves advantageously ahead of expected price movements. It’s a good time to review and adjust portfolios to align with anticipated trends. Midsummer Momentum - This phase follows the Bitcoin halving, characterized by a sideways to upward price trend often supported by heightened interest and media coverage. It represents potentially the last opportunity in the cycle for investors to purchase Bitcoin at lower price levels unlikely to be seen again. Investors should closely monitor the market for value buying opportunities to bolster their long-term investment strategies. Rocket Rise - A phase where Bitcoin prices are likely to surge dramatically driven by a mix of Fear of Missing Out (FOMO) among new investors and widespread media hype. The strategy here is twofold: long-term holders should hold steady to reap maximum gains whereas more speculative investors might look to capitalize on the volatility by taking profits at optimal moments before a potential correction. Winter Whispers - Following a bull run, the market begins to cool, marked by some investors taking profits and consequently increasing price fluctuations and volatility. During this time, investors should remain vigilant, tightening stop-loss orders to safeguard gains. This phase may be suitable for those looking to liquidate a portion of their long-term investments. However, for an investor to be selling the majority of their Bitcoin holdings is generally not advisable as it could preclude benefiting from potential future appreciations. Deep Freeze - The market enters a bearish phase with significant price declines and market corrections. It's a period of consolidation and resetting of price levels. The end of this stage could typically be seen as a buying opportunity for the long-term investor. Accumulating Bitcoin during this phase can be advantageous as prices are lower and provide a foundation for significant growth in the next cycle. 4.5. Support and Resistance Zones Calculates key levels that inform stop-loss placements and trading size decisions enhancing trading strategy around the Bitcoin Destiny Line. 4.6. Market Action Indicators Suggests potential trading actions for different market phases aiding traders in identifying investment/trading opportunities. Risk Indicator - Signals when prices are extremely over-extended helping to avoid entries during potential peak valuations. 4.7. Cycle Projections Extends repricing levels into the future providing a visual forecast of expected price movements and enhancing strategic planning capabilities. Cycle-High Price Projection Range - Provides a probabilistic range for upcoming cycle peaks based on historical trends and current market analysis. 4.8. Heatmap Only It is also possible to plot the heatmap only as a background or as a bar in a second indicator. 4.9. Complete Visual View A complete view of all key elements switched on the model. 5. Settings Users can select to only show specific elements or all elements of the model. They can set the sensitivity of some of the model elements and adjust certain view settings. 6. Different Strategies to Utilize the Model The following strategies are enabled by the Bitcoin Destiny Line model: 6.1. Value-Based Entry Strategy Investors can optimize their investment strategy by deploying investable cash either as a lump sum or on a dollar-cost averaging basis upon the display of a value indicator (Up-Triangles) which signals the highest probability for value entries. 6.2. Long-Term Position Strategy As an alternative, investors may prefer to continue deploying investable funds while cooler colors (green or blue) are displayed on the value map, indicating favorable conditions for long-term positions. 6.3. Scaling Out Strategy Investors may choose to scale out some of their investment upon the display of a risk indicator (circles) reducing exposure to potential downturns. 6.4. Portfolio Rebalancing Strategy A sound strategy can also be to follow a portfolio rebalancing approach by deploying available investable cash upon the display of a value indicator. Rebalance the portfolio to maintain 25% in cash upon the display of a risk indicator. Adjust this ratio as subsequent risk indicators are triggered, deploying available cash upon future value signals. 6.5. Bear Market Strategy In a bear market, traders may seek short positions upon the display of the Continued Downward Momentum indicator (Down Triangles) capitalizing on declining market trends. 6.6. Short-Term Trading Strategy Traders can use hourly or 4-hourly data along with the daily Price Rails and Heatmap Bar for short-term positions. They may incorporate other preferred indicators such as RSI for entry/exit decisions. 7. Recommendations and Disclosures Investors are recommended to take a prudent approach. It is not recommended for investors to scale out completely or significantly reduce the largest portion of their long-term Bitcoin positions in hopes of buying back at lower prices unless they have a compelling reason to do so. The future market conditions may not replicate past opportunities making this strategy uncertain. However, scaling out a smaller portion such as 25% can offer a high potential for an asymmetric risk-reward ratio. This approach is likely to provide a higher risk-adjusted return compared to traditional dollar-cost averaging or random lump sum adjustments. The Bitcoin Destiny Line Model leverages 13.5 years of available price data across four complete Bitcoin market cycles. While each additional cycle enriches the model's robustness and enhances the reliability of its forecasts, it is crucial for users to understand that historical trends are indicative of probable future directions and potential price ranges. Users should be cognizant that past performance is not a definitive predictor of future results and should not be the sole basis for investment decisions.
אינדיקטור Pine Script®
מאת ‎BitcoinDestinyLine‎
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI OVERVIEW The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones. The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable. THE THEORY Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change. Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency. This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree: Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy. Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt. Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy. When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition. HOW IT CHANGES THE STOCHASTIC RSI Standard Stochastic RSI: 1. Calculate RSI with fixed period (14 bars) 2. Apply Stochastic formula over fixed period (14 bars) 3. Smooth with fixed periods Ehlers Enhanced Cycle Stochastic RSI: 1. Detect dominant cycle using three methods 2. Confirm cycle measurement (methods must agree) 3. Calculate RSI with period scaled to the detected cycle 4. Apply Stochastic formula with cycle-scaled lookback 5. Smooth adaptively The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws. The Period Multipliers let you fine-tune this relationship: • 1.0 = Use the full detected cycle (smoother, fewer signals) • 0.5 = Use half the cycle (more responsive, catches turns earlier) INTERPRETATION Reading the Oscillator: • K Line (Blue) — The main signal line. Moves between 0 and 100. • D Line (Orange) — Smoothed version of K. Use for confirmation. • Above 80 — Overbought. Momentum stretched to upside. • Below 20 — Oversold. Momentum stretched to downside. • Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish. Spectral Dilation (optional): When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for: • Very noisy instruments • Lower timeframes • When confidence stays persistently low
אינדיקטור Pine Script®
מאת ‎B3AR_Trades‎
Orderflow Label with OffsetThis Pine Script automatically displays orderflow labels on the chart to visualize the current market structure and potential breakout or reversal zones. It compares the current candle’s high and low with those of the previous cycle (e.g., 90 minutes) and places descriptive labels that highlight possible bullish or bearish behavior. Functionality & Logic (Step-by-step explanation) Inputs: cycleLength: Defines the duration of one “cycle” in minutes (for example, 90 minutes). labelXOffset: Moves the label a few bars to the right, so it doesn’t overlap the current candle. labelStyleOffset: Controls whether labels appear pointing to the right or left side of the chart. Previous Cycle: The script uses request.security to retrieve the high and low from the previous cycle timeframe. These act as reference points (similar to key levels or market structure highs/lows). Current Candle: The script reads the current bar’s high, low, and close values for comparison. Orderflow Conditions: bullSupport: The current high and close are both above the previous high → bullish breakout (strong continuation). bullReject: The high breaks above the previous high but closes below → bullish rejection / possible top. bearRes: The low and close are both below the previous low → bearish breakdown (continuation to downside). bearReclaim: The low goes below the previous low but closes above → bearish reclaim / possible reversal. Label Logic: Before creating a new label, the previous one is deleted (label.delete(flowLbl)) to avoid clutter. The label’s X position is shifted using xPos = bar_index + labelXOffset. The style (left/right) is set based on the user’s preference. Displayed Labels: 🟢 Bullish Breakout → price closes above the previous cycle high. 🟠 Bullish Rejection → fake breakout or possible top. 🔴 Bearish Breakdown → price closes below the previous cycle low. 🟡 Bearish Reclaim → failed breakdown or potential trend reversal. ⚪ Neutral (Wait) → no clear signal, advises patience and watching for setups (like CHoCH or FVGs). Visual Behavior: The labels appear slightly to the right of the bar for better visibility. The color and text alignment dynamically adjust depending on whether the label is pointing left or right.
אינדיקטור Pine Script®
מאת ‎morris220768‎
ALI Time Cycles - 2025This tool visually divides the trading day into time cycles.: Large blocks of 90 minutes are the main work cycle. Three indoor units with 30 minutes in each 90-minute window. Each block is automatically stretched: by time — from the beginning to the end of its period; by price — from the minimum (Low) to the maximum (High) within this period. The colors and structure make it easy to distinguish the different phases of the cycle.: A (Accumulation) is the blue zone. M (Manipulation) is the red zone. D (Distribution) is a green area.
אינדיקטור Pine Script®
מאת ‎omurovali00‎
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions. Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend. By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones. With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis. ♦ Important Note : This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved. 🔵 How to Use The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner. The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses. This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open. Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies. 🔵b]Settings Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel. Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.). Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2). Table Display Mode: Enables or disables the ability to display cycle information in a tabular format. Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed. Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle. 🔵 Conclusion Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase. The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames. Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
אינדיקטור Pine Script®
מאת ‎TFlab‎
12
On Chart Reverse RSI cyclic smoothed + DivergenceThis indicator is based on the amazing work of (@whentotrade) Lars von Theinen's RSI cyclic smoothed (cRSI). More information on the original indicator and how to use it can be found below. The On Chart Reverse cRSI is a visual representational spin of the cRSI or (RSI cyclic smoothed, by Lars von Theinen) you all know and love with the addition of two key features, that in conjunction can be used to greatly assist the end-user in their decision making for entry, exit and risk management. The first feature is the visual reverse engineered calculations of the HighBand, LowBand, as well as the user defined Upper and Lower Levels (70 & 30 by default), compared to the cRSI Level, in relation to the current price level as the point of divergence, which at a glance can then be used to visually see on the chart the closing price level needed in order to cross the cRSI either under or over the afore mentioned levels. The second feature is the addition of my advanced On Chart divergence script in order to display regular as well as hidden divergences on the cRSI compared to the price level, in order to help the end-user train their eyes to spot them more accurately. Divergence colors and description: ------------------------------------- Green : Regular Bullish Divergence White : Hidden Bullish Divergence Red : Regular Bearish Divergence Orange : Hidden Bearish Divergence Optional Settings Include: ----------------------------- 1.) Show/Hide Reverse Levels 2.) Change the Reverse Levels Text Size 3.) Change the Reverse Levels Text Color 4.) Change the Reverse Levels Text Left Margin 5.) Change the Reverse Levels Decimal value 6.) Show/Hide the Reverse Levels Currency 7.) Show/hide the cRSI Divergence lines 8.) Change the cRSI Divergence line offset 9.) Show/hide the cRSI Divergence arrows 10.) Change the Regular Bullish Divergence Color 11.) Change the Hidden Bullish Divergence Color 12.) Change the Regular Bearish Divergence Color 13.) Change the Hidden Bearish Divergence Color 14.) Change the cRSI Divergence lookback (No. of bars to lookback) RSI cyclic smoothed (cRSI) ----------------------------- The RSI cyclic smoothed (cRSI) indicator is developed by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator: RSI cyclic smoothed v2 The RSI cyclic smoothed (cRSI) is an enhancement of the classic RSI , adding 1) additional smoothing according to the market vibration, 2) adaptive upper and lower bands according to the cyclic memory and 3) using the current dominant cycle length as input for the indicator. It is much more responsive to market moves than the basic RSI . The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4. Please PM me to obtain access.
אינדיקטור Pine Script®
מאת ‎lynchs‎
4
Reverse RSI cyclic smoothed + DivergenceThis indicator is based on the amazing work of (whentotrade) Lars von Theinen's RSI cyclic smoothed (cRSI). More information on the original indicator and how to use it can be found below. The Reverse cRSI is in essence the same cRSI or (RSI cyclic smoothed, by Lars von Theinen) you all know and love with the addition of two key features, that in conjunction can be used to greatly assist the end-user in their decision making for entry, exit and risk management. The first feature is a reverse engineered calculation of the HighBand, LowBand, as well as the user defined Upper and Lower Levels (70 & 30 by default), compared to the cRSI Level, in relation to the current price level as the point of divergence, which at a glance can then be used to determine the closing price level needed in order to cross the cRSI either under or over the afore mentioned levels. The second feature is the addition of my advanced divergence script to display regular as well as hidden divergences on the cRSI, in order to help the end-user train their eyes to spot them more accurately. Divergence colors and description: ------------------------------------- Green : Regular Bullish Divergence White : Hidden Bullish Divergence Red : Regular Bearish Divergence Orange : Hidden Bearish Divergence Optional Settings Include: ----------------------------- 1.) Show/Hide Reverse Levels 2.) Change the Reverse Levels Text Size 3.) Change the Reverse Levels Text Color 4.) Change the Reverse Levels Text Left Margin 5.) Change the Reverse Levels Decimal value 6.) Show/Hide the Reverse Levels Currency 7.) Show/hide the cRSI Divergence lines 8.) Change the cRSI Divergence line offset 9.) Show/hide the cRSI Divergence arrows 10.) Change the cRSI Divergence arrow offset 11.) Change the Regular Bullish Divergence Color 12.) Change the Hidden Bullish Divergence Color 13.) Change the Regular Bearish Divergence Color 14.) Change the Hidden Bearish Divergence Color 15.) Change the cRSI Divergence lookback (No. of bars to lookback) RSI cyclic smoothed (cRSI) ----------------------------- The RSI cyclic smoothed (cRSI) indicator is developed by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. RSI cyclic smoothed v2 The RSI cyclic smoothed (cRSI) is an enhancement of the classic RSI , adding 1) additional smoothing according to the market vibration, 2) adaptive upper and lower bands according to the cyclic memory and 3) using the current dominant cycle length as input for the indicator. It is much more responsive to market moves than the basic RSI . The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
אינדיקטור Pine Script®
מאת ‎lynchs‎
11
Wavemeter [theEccentricTrader]█   OVERVIEW This indicator is a representation of my take on price action based wave cycle theory. The indicator counts the number of confirmed wave cycles, keeps a rolling tally of the average wave length, wave height and frequency, and displays the statistics in a table. The indicator also displays the current wave measurements as an optional feature. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. As can be seen in the example above, the first swing high or swing low will set the course for the sequence of wave cycles that follow; a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Wave Length Wave length is here measured in terms of bar distance between the start and end of a wave cycle. For example, if the current wave cycle ends on a swing low the wave length will be the difference in bars between the current swing low and current swing high. In such a case, if the current swing low completes on candle 100 and the current swing high completed on candle 95, we would simply subtract 95 from 100 to give us a wave length of 5 bars. Average wave length is here measured in terms of total bars as a proportion as total waves. The average wavelength is calculated by dividing the total candles by the total wave cycles. Wave Height Wave height is here measured in terms of current range. For example, if the current peak price is 100 and the current trough price is 80, the wave height will be 20. Amplitude Amplitude is here measured in terms of current range divided by two. For example if the current peak price is 100 and the current trough price is 80, the amplitude would be calculated by subtracting 80 from 100 and dividing the answer by 2 to give us an amplitude of 10. Frequency Frequency is here measured in terms of wave cycles per second (Hertz). For example, if the total wave cycle count is 10 and the amount of time it has taken to complete these 10 cycles is 1-year (31,536,000 seconds), the frequency would be calculated by dividing 10 by 31,536,000 to give us a frequency of 0.00000032 Hz. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. █   FEATURES Inputs Show Sample Period Start Date End Date Position Text Size Show Current Show Lines Table The table is colour coded, consists of two columns and, as many as, nine rows. Blue cells display the total wave cycle count and average wave measurements. Green cells display the current wave measurements. And the final row in column one, coloured black, displays the sample period. Both current wave measurements and sample period cells can be hidden at the user’s discretion. Lines For a visual aid to the wave cycles, I have added a blue line that traces out the waves on the chart. These lines can be hidden at the user’s discretion. █   HOW TO USE The indicator is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe. For example, the indicator can be used to compare the current range and frequency with the average range and frequency, which can be useful for gauging current market conditions versus historic and getting a feel for how different markets and timeframes behave. █   LIMITATIONS Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter. The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge. It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
אינדיקטור Pine Script®
מאת ‎theEccentricTrader‎
WD Gann: Vertical Lines for Predefined Days/Bars AgoThis Pine Script draws vertical lines on the chart at specific time intervals, inspired by WD Gann’s theories of time cycles . WD Gann, a famous trader, believed that market movements were influenced by predictable time cycles. This script enables traders to visualize these key time cycles on the chart by placing vertical lines at predefined intervals (in bars ago), helping to identify potential turning points in the market. The time intervals used in this script are inspired by Gann’s work, as well as astrological and numerological principles , which many traders believe influence market behavior . You can customize which time intervals (such as 3, 7, 9, 21, etc.) you want to track by enabling or disabling specific vertical lines on the chart. Key Features: Time Cycles Based on Gann’s Theory: Draws vertical lines at significant time intervals such as 3, 7, 9, 21, 27 bars ago, which are commonly used by Gann traders. Astrological & Numerological Significance: The predefined intervals also align with key numerological and astrological values, allowing for a broader perspective on market cycles. Customizable Intervals: You can choose which time intervals to display by enabling or disabling checkboxes for each cycle, allowing flexibility in chart analysis. Visual Labels: Each vertical line is labeled with its corresponding "bars ago" value, providing clear reference points for the selected time cycles. What Users Can Do: Track and analyze market movements based on time cycles that are significant to Gann’s theory, as well as numerological and astrological influences. Enable or disable vertical lines for specific cycles, like the 3-bar cycle, 9-bar cycle, or 365-bar cycle, depending on the intervals that align with your trading strategy. Combine with other technical analysis tools and Gann techniques (e.g., Gann Angles, Gann Fans, or Square of Nine) for a more comprehensive trading approach. This tool is designed for traders who believe in the power of time cycles to influence market behavior, and is especially useful for predicting turning points or key price movements based on these cycles.
אינדיקטור Pine Script®
מאת ‎sam-austin‎
1
Quarterly Cycles [Dango]Introducing the Comprehensive Quarterly Cycle Indicator, a powerful and original tool designed to enhance your understanding of price action through the lens of quarterly cycles. This innovative script is a novel creation that accurately incorporates the nuances and complexities often overlooked by those who claim to have a quarterly cycle indicator. Key Features: - Displays 90-minute, daily, weekly, monthly, and yearly quarterly cycles - Employs advanced algorithms and a deep understanding of cycle theory to precisely map out cycles - Accounts for subtle nuances ignored by other indicators How It Works: The Comprehensive Quarterly Cycle Indicator meticulously calculates and visualizes various quarterly cycles based on a proprietary algorithm that determines the presence and absence of quarters. This intricate formula takes into account multiple factors and complex relationships between time and price to accurately identify when a quarter is present and when it isn't. By leveraging this unique approach, the indicator can provide a more precise and reliable representation of quarterly cycles compared to other methods. The advanced algorithms employed by the script go beyond simple trend detection or scalping techniques, offering a comprehensive view of the underlying market rhythms. The indicator's visual representation of quarterly cycles serves as an invaluable aid in recognizing time-based patterns, turning points, and potential trend shifts. Through the lens of this indicator, traders can gain a deeper understanding of how time influences market dynamics and can make more informed decisions based on this knowledge. Intended Use: The Comprehensive Quarterly Cycle Indicator is designed primarily for educational purposes, helping traders develop a keen intuition for interpreting price action through the lens of quarterly cycles. By studying the indicator's output alongside price movements, users can gain valuable insights into market dynamics and timing. Please note that while this indicator is a powerful learning tool, it should not be considered a standalone trading system. As with any technical analysis tool, it is essential to combine its insights with other forms of analysis and risk management principles. Limitations: The indicator's accuracy may be impacted by extreme market volatility or unusual events Quarterly cycles are one of many factors influencing price action and should not be relied upon in isolation By offering a novel and accurate representation of quarterly cycles, this indicator aims to empower traders in their journey to understand and navigate the markets effectively. However, as with any trading tool, individual results may vary, and past performance does not guarantee future outcomes. Disclaimer: This indicator is provided for educational purposes only and should not be considered financial advice. Always conduct your own due diligence and consult with a financial professional before making any trading decisions. Privacy of Code Please note that the underlying logic and specific calculations used in the proprietary algorithm are not disclosed to protect the intellectual property of the script. The main reason for keeping these details hidden is due to the intricate formula used to determine when a quarter is actually present and when it isn't, taking into account various factors and complex relationships between time and price. The proprietary algorithm is the result of extensive research, testing, and refinement, forming the core of the Comprehensive Quarterly Cycle Indicator's unique approach to identifying and visualizing quarterly cycles. By keeping the specific calculations confidential, the script maintains its competitive edge and ensures the protection of its intellectual property. Despite not disclosing the exact details, the description aims to provide a clear understanding of the script's functionality, its unique approach to identifying quarterly cycles, and the potential benefits for traders. The information provided offers insights into the key features, general methodology, and advantages of utilizing the Comprehensive Quarterly Cycle Indicator in your trading analysis.
אינדיקטור Pine Script®
מאת ‎DangoNoChain‎
4
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool Overview and Purpose The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations. Integration Rationale and Component Synergy The indicator integrates three core analytical concepts into a cohesive system: Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias. Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels. Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics. These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes. Operational Mechanism The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements. The oscillator's movement through threshold zones generates four distinct market signals: Entry into overbought territory (crossing above 95%) Exit from overbought territory (crossing below 95%) Entry into oversold territory (crossing below 5%) Exit from oversold territory (crossing above 5%) Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles. Practical Application Guidelines Primary Use Cases: Identification of potential major cycle turning points on weekly and monthly timeframes Confirmation tool for existing trading strategies requiring cycle analysis Risk management through recognition of extreme market conditions Interpretation Framework: Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures. Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies. Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed. Parameter Considerations: Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency. Originality and Distinctive Features This implementation incorporates several innovative aspects: Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles. Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration. Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals. Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management. Empirical Considerations and Limitations The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider: The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods. No technical indicator, including this one, can guarantee future market movements. Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals. Expected User Outcomes When used as part of a comprehensive trading plan, this indicator can help users: Identify potential reversal zones in major market cycles Develop patience by focusing on significant rather than frequent trading opportunities Maintain objective perspective during market extremes through quantitative assessment Coordinate entry and exit timing with cycle analysis The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
אינדיקטור Pine Script®
מאת ‎neeson1987‎
Earth Rotation 4m: Sq9 Diamond⚠️ CRITICAL: 4-MINUTE CHART ONLY This indicator is mathematically locked to the 4-minute timeframe. Why? The Earth rotates 360 degrees every 24 hours (1,440 minutes). 1440 minutes / 360 degrees = 4 minutes per degree. On a 4-minute chart, 1 Bar = 1 Degree of Earth's rotation. This is the fundamental constant that aligns the time grid with the Square of 9 price levels. If you use this on any other timeframe, the script will disable itself to prevent false data. Concept & Logic The Earth Rotation 4m is not a standard lagging indicator (like RSI or MACD). It is a leading market geometry engine based on W.D. Gann’s "Square of Nine" principles. It assumes that price and time are interchangeable and move in synchronized cycles. The Anchor (The "Bang"): Everything starts from a major pivot (High or Low). You must set the Anchor Time manually to this pivot. The script then projects a grid forward in time. Time Cycles (Vertical Lines): Since 1 Bar = 1 Degree, the script projects vertical lines at key harmonic intervals: 45°, 90°, 144°, 180°, and 360°. These are "Time Windows" where volatility is expected. Price Levels (Horizontal Lines): The script takes the Anchor Price, converts it into the "Square of Nine" root structure, rotates it by specific degrees, and converts it back to price. This creates static support/resistance levels derived from the seed price itself. The "Blue Diamond" (The Signal): When a Time Cycle (Vertical) intersects with a Price Level (Horizontal) at the exact same moment price is there, a Blue Diamond appears. This represents "Squaring Time and Price"—a geometric point of maximum balance where a reversal or acceleration often occurs. Feature List 1. Smart Grid Engine Auto-Cleaning: Automatically deletes old lines when you change the Anchor Time—no more messy charts. Harmonic Time Lines: Color-coded verticals (Gold for 90° cardinals, Cyan for 45° ordinals). Square of 9 Levels: dotted horizontal lines representing the "Roadmap" for price. 2. The Gann Fan Optional geometric fans (1x1, 1x2, 2x1, etc.) anchored to your start time. Acts as a visual slope reference for the strength of the trend. 3. "Diamond" Detection Signal A visual Blue Diamond prints above the bar when price hits a Square of 9 level exactly on a Time Cycle. Includes a tolerance input (Time/Price Tolerance) to account for minor market noise. 4. Visual Trade Model (Forward Tester) Note: This is a theoretical visualization tool, not a backtester. Logic: It visualizes a Mean Reversion setup. If Price is > Anchor at a Time Cycle → Visualizes a Short. If Price is < Anchor at a Time Cycle → Visualizes a Long. Auto-Alignment: Draws Profit (Green) and Loss (Red) boxes directly on the chart, snapping to the trade duration. Stats Dashboard: A sleek Black/Gold table tracking the Win Rate and Net R (Risk/Reward) of these theoretical setups for the current session. 5. Professional Alerts Grid Intersection: Triggers when a Diamond prints. Trade Entry: Triggers when the visual model detects an entry criteria. How to Use (Step-by-Step Guide) Set the Chart: Open any asset (Crypto, Forex, Stocks) and set the timeframe to 4 Minutes. Find the Pivot: Look for a major High or Low earlier in the day (or yesterday). Set the Anchor: Go to the Indicator Settings -> Anchor Time. Enter the exact time of that pivot bar. Observe the Grid: The script will project the future roadmap. Watch for price approaching a Horizontal Level as a Vertical Time Line is coming up. The Diamond Signal: If price hits that level exactly on the time line, a Blue Diamond appears. This is your area of interest. Visual Confirmation: Use the Trade Logic boxes to see how price reacted to similar setups earlier in the session. Settings Guide Anchor Time: The most critical input. Must be precise. Cycle Limit: How far forward to draw the grid (in 360-degree cycles). ATR Multiplier: Adjusts the size of the Stop/Limit boxes for the visual model. (BTC typically needs 4.0-5.0; Alts need 2.5-3.5). Fan Scale: Adjusts the slope of the Gann Fan. Disclaimer This script is a market geometry analysis tool. The "Trade" module and Dashboard are for educational visualization purposes only and do not represent a financial strategy, backtest, or guarantee of future results. Trading involves significant risk. Always use your own risk management.
אינדיקטור Pine Script®
מאת ‎PyraTime‎
Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated)Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated) - Complete Description 🎯 Originality & Unique Approach What Makes This Script Original? This indicator represents a novel fusion of traditional Chinese cyclical theory with modern financial market analysis. Unlike conventional technical indicators based solely on price action or volume, this tool incorporates: Ancient Chinese Calendar Systems: Utilizes the 60-year Jia-Zi cycle (Heavenly Stems & Earthly Branches) dating back 4000+ years Five Elements (Wu Xing) Theory: Applies Wood-Fire-Earth-Metal-Water cycles to market dynamics Chinese Zodiac Correlation: Links 12 zodiac animals with market characteristics Solar Term Integration: Considers traditional solar terms (particularly "Beginning of Spring") for accurate year transitions No other TradingView indicator combines these specific traditional Chinese predictive systems with Western financial charting in this comprehensive manner. 📊 What This Indicator Does & How It Works Core Functionality This overlay indicator provides multi-timeframe market analysis based on traditional Chinese cyclical theories: Yearly Cycle Analysis (Primary) Identifies current position in the 10-year Heavenly Stem cycle (甲 to 癸) Maps each year to specific market predictions based on historical patterns Color-codes the chart background according to the current zodiac year Monthly & Daily Analysis Calculates monthly and daily Heavenly Stems & Earthly Branches Provides short-term trend signals based on daily/monthly elements Cycle Progress Tracking Visual 10-year cycle progress bar showing current position Countdown to next significant cycle transition points Implementation Methodology 1. Calendar Calculation System: Uses calibrated formulas for Heavenly Stems: (Year - 4) % 10 Calculates Earthly Branches: (Year - 4) % 12 Incorporates solar term adjustments (Beginning of Spring around Feb 4th) Accurate for years 1900-2100 using Zeller's congruence algorithm for daily calculations 2. Prediction Mapping: 甲 (Jia) Years → Bear to Bull transition, Bottom years 乙 (Yi) Years → Bull markets 丙/丁 (Bing/Ding) Years → Super bull markets (Fire element) 戊/己 (Wu/Ji) Years → Bear markets (Earth element) 庚/辛 (Geng/Xin) Years → Structural markets, Risk years 壬/癸 (Ren/Gui) Years → Observation periods 3. Five Elements Integration: Maps each Heavenly Stem to Wood-Fire-Earth-Metal-Water Analyzes relationship between current year's element and "market element" (assumed as Water) Generates "生成克制" (Generate-Control) relationship insights Visual Components Background Coloring: Entire chart background changes color based on zodiac animal of the year Information Tables: Detailed tables showing: Current lunar year and zodiac Five Elements relationship to markets Cycle progress and next transition points Daily and monthly Stems & Branches with trend signals Year Labels: Floating labels at year transitions showing year info and predictions Cycle Progress Bar: Visual representation of 10-year cycle completion percentage Special Markers: Highlighted markers for significant years (甲, 丙丁, 戊辛, 癸) Trend Indicators: Directional arrows showing overall yearly trend 🧠 Core Theoretical Framework Philosophical Foundation This indicator operates on three interconnected cyclical theories: 1. 10-Year Heavenly Stem Cycle (天干循环) Each of the 10 Heavenly Stems represents distinct market characteristics Complete cycle repeats every 10 years with predictable patterns Based on observed correlations between these cycles and historical market movements 2. 12-Year Earthly Branch/Zodiac Cycle (地支/生肖循环) Each zodiac year has associated color coding and characteristics Provides secondary confirmation to Heavenly Stem predictions Creates 60-year combined cycle when multiplied with 10-year cycle 3. Five Elements Market Theory (五行市场理论) Assumption: Financial markets exhibit characteristics of Water element (流动、变化) Analysis: How each year's element interacts with Water: Same element (Water-Water): Harmony, stable trends Generating element (Metal-Water): Supportive, bullish Controlling element (Earth-Water): Restrictive, bearish Generated element (Water-Wood): Draining, volatile Controlling element (Water-Fire): Dominant, trend strong Historical Correlation Basis The prediction mappings derive from observed correlations between Chinese calendar years and major market movements: 丙丁 (Bing/Ding) Fire Years: Historically correlated with major bull markets (e.g., 1997丁丑年 Asian boom, 2007丁亥年 pre-crisis peak) 戊己 (Wu/Ji) Earth Years: Often associated with market corrections or bear phases 甲 (Jia) Years: Frequently mark cycle beginnings and transitional phases 🎮 Practical Usage Guide For Long-Term Investors Cycle Positioning: Determine where we are in the 10-year cycle Yearly Outlook: Use the yearly prediction to set overall portfolio bias Cycle Transitions: Watch for 甲 (Jia) year beginnings and 癸 (Gui) year endings for major rebalancing For Swing Traders Monthly Signals: Check monthly Heavenly Stems for intermediate-term bias Element Relationships: Use Five Elements analysis for sector rotation ideas Cycle Progress: Monitor the 10-year progress bar for approaching transitions For Short-Term Traders Daily Stems & Branches: Use daily signals for short-term directional bias Intraday Context: Align short-term trades with the larger cycle direction Alert System: Set alerts for significant year/month transitions Specific Trading Applications 1. Trend-Following Enhancement Use yearly trend direction to filter counter-trend trades Align with the predominant element's characteristics (e.g., Fire years favor momentum strategies) 2. Mean Reversion Timing Earth and Metal years often show increased mean reversion characteristics Use daily signals to time entries during counter-trend moves 3. Sector Rotation Framework Different elements favor different sectors: Wood/Water years: Technology, Innovation Fire years: Energy, Growth stocks Earth years: Real Estate, Materials Metal years: Financials, Industrials 4. Risk Management Heighten caution during 辛 (Xin) Metal years (designated "Risk Years") Reduce leverage during controlling element relationships ⚙️ Configuration Options Visual Customization Adjust background brightness and colors for each zodiac year Customize label positions, sizes, and colors Toggle various display elements on/off based on preference Analytical Focus Choose to emphasize yearly, monthly, or daily signals Adjust the cycle progress bar position and appearance Customize which special year markers to display Alert System Enable alerts for year transitions Customize which cycle transitions trigger alerts Combine with other indicators for confirmation ⚠️ Important Considerations Theoretical Nature This indicator is based on cyclical correlation theories, not causal relationships. It should be used as: A Complementary Tool: Not a standalone trading system A Framework for Thinking: About market cycles and rhythms A Sentiment Indicator: Of longer-term market positioning Practical Limitations Not a Timing Tool: Doesn't provide precise entry/exit points Cultural Specificity: Based on Eastern cyclical concepts Historical Correlation: Past patterns may not repeat identically Recommended Usage Combine with Technical Analysis: Use alongside traditional indicators Verify with Fundamental Analysis: Ensure cycle signals align with economic reality Risk Management First: Never rely solely on cyclical predictions for position sizing 📈 Integration with Other Strategies With Trend Following Use yearly trend direction to determine primary trend bias Filter trade signals to align with cycle direction With Counter-Trend Strategies Identify years with high mean reversion probability Use daily signals for timing counter-trend entries With Seasonal Patterns Overlay traditional seasonal patterns with Chinese calendar cycles Look for convergence/divergence between different cyclical systems 🔮 Future Development Path The current implementation focuses on yearly cycles, but the framework can expand to: Smaller Timeframes: Applying the system to weekly/daily cycles Inter-market Analysis: Different elements for different asset classes Geographical Variations: Adjusting for different market characteristics by region Combination with Western Cycles: Integrating with Kondratieff waves, decennial patterns
אינדיקטור Pine Script®
מאת ‎neeson1987‎
CAP - CSICSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." Unlike traditional momentum oscillators, the CSI uses a recursive dual-thrust processor to isolate cyclic price action, helping traders identify hidden rhythms in the market rather than just static overbought or oversold levels. How to Read the Indicator This script focuses on four primary technical components: Dynamic Band Pivots: The indicator calculates a "cyclic memory" (default 34 periods) to create high and low bands. When the CSI moves outside these bands and begins to pivot, it signals a potential cycle exhaustion point. Momentum Slope: The color-coded area fill identifies the direction of the cycle's slope. A change in slope is often the first warning of a cycle peak or trough. The Zero Line: The zero line acts as the "equilibrium" point. Position relative to zero helps define whether the current cycle is in a bullish or bearish regime. Multi-Timeframe Analysis (HTF): The script includes an HTF filter (suggested 5x the chart timeframe) to ensure you are trading in the direction of the dominant macro cycle. Performance & Testing: The "Trending" Challenge This indicator has been developed and tested primarily on Futures (ES, NQ, RTY) and US Equities. Important Note on False Signals: While the CSI "nails" turning points during standard cyclic/swing conditions, users should be aware of "phantom" cycles or false signals during strong trending conditions. In a powerful trend, the indicator may signal a cycle peak while price continues to move linearly, leading to premature exhaustion signals. Filtering these "trend-drifts" is the current focus of development. Community & Collaboration This script is an ongoing project. I am making it public to find like-minded traders interested in Lars von Thienen’s work to: Refine the processor logic for better signal-to-noise ratios during impulsive trends. Discuss the best "Trend Shields" (Volume, HTF, or Volatility filters) to stay in winners longer. Share specific settings for different asset classes in the Futures and Equity markets.
אינדיקטור Pine Script®
מאת ‎calinpascual‎
1
Financial Astrology Jupiter LongitudeJupiter energy influence the expansion, enthusiasm, joviality, optimism, devotion, administration and judgement. Is associated with people of nobility and good social position: ministers, bishops, religious leaders, judges, bankers, lawyers, merchants, influencers and so forth. This cycle is relevant for the industries of consumer goods, travel, publishing, higher education, banking, gambling and legal. For most of the crypto-currencies is hard to analyse the impact of the Jupiter transit across different zodiac signs due to the emergent nature of this disrupting financial industry, many coins was launched in 2017 and have not experienced the complete Jupiter cycle. However, in BTCUSD we almost have a complete orbit and through the buy/sell frequency analysis we have observed the following patters: the bullish zodiac signs was Virgo, Libra, Capricorn and Aquarius, the bearish was Leo, and Scorpio. We was not able to obtain price data for the period when Jupiter transited Aries to Cancer so we are pending to analyze the trend direction during those zodiac positions. This indicator provides Jupiter longitude since 2010 so will be limited to the analysis of 1 cycle, however we noted that the periods of retrogradation and stationary could give interesting trading signals. We encourage you to analyse this zodiac sign / speed phases cycles in different markets and share with us your observations, leave us a comment with your research outcomes. Happy research! Note: The Jupiter tropical longitude indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the longitude is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
אינדיקטור Pine Script®
מאת ‎citlacom‎
4
RSI cyclic smoothed v2Cyclic Smoothed Relative Strength Indicator The cyclic smoothed RSI indicator is an enhancement of the classic RSI , adding additional smoothing according to the market vibration, adaptive upper and lower bands according to the cyclic memory and using the current dominant cycle length as input for the indicator. The cRSI is used like a standard indicator. The chart highlights trading signals where the signal line crosses above or below the adaptive lower/upper bands. It is much more responsive to market moves than the basic RSI. You can also review this short idea where BTC went down from 4300 USD (3 Sept 17) to 3700 USD (15 Sept 17) after the idea was posted and showed the clear short exit with the next low: The indicator uses the dominant cycle as input to optimize signal, smoothing and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Chapter 4 "Fine tuning technical indicators" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store. This is the open-source code version of the requested script already published as protected indicator back in 2017 "RSI cyclic smoothed". Now made public as v2. Would love to receive feedback and see your ideas.
אינדיקטור Pine Script®
מאת ‎StockMarketCycles‎
115
Moon Phases & Distance [English]🌕 Moon Phases & Distance (V6) This indicator tracks the Lunar Cycle and the Earth-Moon Distance to identify potential market reversal points and volatility windows. Based on astronomical cycles, it provides a unique perspective on market timing that goes beyond standard price action. 🔭 Key Features Precision Phase Tracking: Visualizes the current lunar cycle from 0% (New Moon) to 100%. Proximity Logic (Perigee/Apogee): Accounts for the Moon’s elliptical orbit. Perigee (Blue Marker): Moon is closest to Earth. Often associated with higher gravitational pull and increased market volatility. Apogee (Red Marker): Moon is at its farthest point from Earth. Direct Chart Overlay: Even though the indicator sits in a separate pane, it uses force_overlay to place Full Moon (🌕) and New Moon (🌑) icons directly on your price bars. Real-time Dashboard: A clean info-table in the top-right corner shows the exact phase percentage and orbital status. 💡 Trading Logic Many traders use Lunar cycles as a secondary filter for timing: Full Moon (🌕): Historically linked to local price peaks or trend exhaustion in certain markets. New Moon (🌑): Often correlates with local price bottoms or the start of a new momentum wave. Distance Index: Used to gauge the "intensity" of the cycle; Perigee events are often watched for sudden "shocks" or trend shifts. 🛠 Technical Specifications Language: Pine Script v6 Compatibility: Works on all timeframes (best viewed on Daily/Weekly). Performance: Lightweight and optimized calculation methods to ensure no lag on your charts. ⚠️ Disclaimer This script is for educational and informational purposes only. Financial trading involves significant risk, and astronomical cycles should never be the sole basis for any investment decision. Past performance, whether based on price action or celestial cycles, is not indicative of future results. Trade at your own risk. #MoonPhases #LunarCycle #Astronomy #CycleAnalysis #MarketGeometry
אינדיקטור Pine Script®
מאת ‎Another363‎