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VWAP Entry Assistant (v1.0)Description: Anchored VWAP with a lightweight assistant for VWAP reversion trades. It shows the distance to VWAP, an estimated hit probability for the current bar, the expected number of bars to reach VWAP, and a recommended entry price. If the chance of touching VWAP is low, the script suggests an adjusted limit using a fraction of ATR. The VWAP line is white by default, and a compact summary table appears at the bottom-left. Educational tool. Not financial advice. Not affiliated with TradingView or any exchange. Always backtest before use.
Pine Script® 인디케이터
Seaman88의
My setup [Pro] (fadi)My Setup is a powerful TradingView indicator that visualizes your trading strategy, helping you find high-probability setups with precision and discipline. It combines Higher Timeframe (HTF) context with Lower Timeframe (LTF) entries on a single chart, streamlining your trading process. What It Does Tracks your chosen timeframe and its paired higher timeframe for custom trade setups, so you don’t have to stay glued to the screen. Plots clear Entry, Stop Loss, and Take Profit levels when your conditions align. Customizes to your strategy with HTF triggers (e.g., sweeps, liquidity grabs) and LTF entries (e.g., Order Blocks, FVGs, Breakers). Ensures discipline by only showing setups that meet all your rules, eliminating emotional trading and FOMO. Backtest your edge by visualizing past setups to refine entries, stops, and confluences. How It Works Set Your HTF Trigger: Choose a market event like a sweep of a high/low, pivot point, or liquidity grab on the paired higher timeframe (e.g., 1H for a 5m chart). Define Your LTF Entry: Select your entry model from a range of institutional concepts, such as Order Block, Fair Value Gap (FVG), Inverted FVG (iFVG), Breaker Block, Unicorn Model, and more, on the chart’s timeframe. Add Confluence Filters: Stack conditions like requiring an FVG + Breaker for higher-probability setups. See It on Your Chart: When a setup forms, it’s instantly plotted with Entry, Stop Loss, and Take Profit levels based on your Risk-to-Reward ratio. Key Features Multi-Timeframe Sync: Pair your chart’s timeframe (e.g., 5m) with a higher timeframe (e.g., 1H) for seamless analysis. Institutional Tools: Supports a comprehensive suite of ICT concepts, including Order Blocks, FVGs, iFVGs, Breakers, Unicorn Model, and additional entry models. Custom Risk Management: Set your Stop Loss and Take Profit levels with fixed R:R or measured moves using large range of entry and stop levels. Session Filtering: Limit setups to specific trading sessions (e.g., London, New York) with timezone support. Visual Clarity: Displays HTF candles and key levels on your chart for context, with customizable colors and styles. Alerts: Get notified the moment a valid setup appears, even on live candles. Who It’s For Traders who want to systematize their ICT-based strategy on a single chart. Those seeking to trade with discipline and avoid impulsive decisions. Anyone looking to backtest and optimize their setups with clear, visual feedback. Busy traders who need a tool to track their chart while they focus on life. Why Choose My Setup ? Save Time: Let the indicator track your chart and its paired timeframe. Trade Confidently: Only take A+ setups that match your exact rules. Learn and Improve: Analyze historical setups to refine your strategy. Disclaimer of Warranties and Limitation of Liability for [My Setup ] Please read this disclaimer carefully before using the [My Setup ] indicator (hereafter referred to as "the Software"). 1. No Financial Advice The Software is provided for educational and informational purposes only. The data, calculations, and signals generated by the Software are not, and should not be interpreted as, financial advice, investment advice, trading advice, or a recommendation or solicitation to buy, sell, or hold any security or financial instrument. 2. Assumption of Risk You acknowledge that trading and investing are inherently risky activities that carry a high potential for significant financial loss. All actions you take in the market, including but not limited to trade execution and risk management, are your sole responsibility. You agree to use the Software at your own sole risk. The creator shall not be held responsible or liable for any financial losses or damages you may incur as a result of using the Software. 3. No Warranty; "AS IS" Provision The Software is provided "AS IS" and "AS AVAILABLE", without any warranties of any kind, either express or implied. The creator disclaims all warranties, including, but not limited to, implied warranties of merchantability, fitness for a particular purpose, accuracy, timeliness, completeness, and non-infringement. The creator does not warrant that the Software will be error-free, uninterrupted, secure, or free of bugs, viruses, or other harmful components. You acknowledge that software is never wholly free from defects, and you are responsible for implementing your own procedures for data accuracy and security. 4. Limitation of Liability TO THE MAXIMUM EXTENT PERMITTED BY APPLICABLE LAW, IN NO EVENT SHALL THE CREATOR, FADI ZEIDAN, BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. This limitation of liability applies to any and all damages, including but not limited to: Direct, indirect, incidental, special, consequential, or exemplary damages. Loss of profits, revenue, data, or use. Financial losses resulting from trading decisions made based on the Software. Damages arising from software defects, interruptions, or inaccuracies. 5. Indemnification You agree to indemnify, defend, and hold harmless the creator, Fadi Zeidan, from and against any and all claims, liabilities, damages, losses, or expenses, including reasonable attorneys' fees and costs, arising out of or in any way connected with your access to or use of the Software. 6. Acknowledgment and Agreement By accessing, installing, or using the [My Setup ] indicator, you acknowledge that you have read, understood, and agree to be bound by the terms of this disclaimer. If you do not agree with these terms, you must not use the Software.
Pine Script® 인디케이터
fadizeidan의
9
Momentum-Based Fair Value Gaps [BackQuant]Momentum-Based Fair Value Gaps A precision tool that detects Fair Value Gaps and color-codes each zone by momentum, so you can quickly tell which imbalances matter, which are likely to fill, and which may power continuation. What is a Fair Value Gap A Fair Value Gap is a 3-candle price imbalance that forms when the middle candle expands fast enough that it leaves a void between candle 1 and candle 3. Bullish FVG : low > high . This marks a bullish imbalance left beneath price. Bearish FVG : high < low . This marks a bearish imbalance left above price. These zones often act as magnets for mean reversion or as fuel for trend continuation when price respects the gap boundary and runs. Why add momentum Not all gaps are equal. This script measures momentum with RSI on your chosen source and paints each FVG with a momentum heatmap. Strong-momentum gaps are more likely to hold or propel continuation. Weak-momentum gaps are more likely to fill. Core Features Auto FVG Detection with size filters in percent of price. Momentum Heatmap per gap using RSI with smoothing. Multiple palettes: Gradient, Discrete, Simple, and scientific schemes like Viridis, Plasma, Inferno, Magma, Cividis, Turbo, Jet, plus Red-Green and Blue-White-Red. Bull and Bear Modes with independent toggles. Extend Until Filled : keep drawing live to the right until price fully fills the gap. Auto Remove Filled for a clean chart. Optional Labels showing the smoothed RSI value stored at the gap’s birth. RSI-based Filters : only accept bullish gaps when RSI is oversold and bearish gaps when RSI is overbought. Performance Controls : cap how many FVGs to keep on chart. Alerts : new bullish or bearish FVG, filled FVG, and extreme RSI FVGs. How it works Source for Momentum : choose Returns, Close, or Volume. Returns computes percent change over a short lookback to focus on impulse quality. RSI and Smoothing : RSI length and a small SMA smooth the signal to stabilize the color coding. Gap Scan : each bar checks for a 3-candle bullish or bearish imbalance that also clears your minimum size filter in percent of price. Heatmap Color : the gap is painted at creation with a color from your palette based on the smoothed RSI value, preserving the momentum signature that formed it. Lifecycle : if Extend Unfilled is on, the zone projects forward until price fully trades through the far edge. If Auto Remove is on, a filled gap is deleted immediately. How to use it Scan for structure : turn on both bullish and bearish FVGs. Start with a moderate Min FVG Size percent to reduce noise. You will see stacked clusters in trends and scattered singletons in chop. Read the colors : brighter or stronger palette values imply stronger momentum at gap formation. Weakly colored gaps are lower conviction. Decide bias : bullish FVGs below price suggest demand footprints. Bearish FVGs above price suggest supply footprints. Use the heatmap and RSI value to rank importance. Choose your playbook : Mean reversion : target partial or full fills of opposing FVGs that were created on weak momentum or that sit against higher timeframe context. Trend continuation : look for price to respect the near edge of a strong-momentum FVG, then break away in the direction of the original impulse. Manage risk : in continuation ideas, invalidation often sits beyond the opposite edge of the active FVG. In reversion ideas, invalidation sits beyond the gap that should attract price. Two trade playbooks Continuation - Buy the hold of a bullish FVG Context uptrend. A bullish FVG prints with strong RSI color. Price revisits the top of the gap, holds, and rotates up. Enter on hold or first higher low inside or just above the gap. Invalidation: below the gap bottom. Targets: prior swing, measured move, or next LV area. Reversion - Fade a weak bearish FVG toward fill Context range or fading trend. A bearish FVG prints with weak RSI color near a completed move. Price fails to accelerate lower and rotates back into the gap. Enter toward mid-gap with confirmation. Invalidation: above gap top. Target: opposite edge for a full fill, or the gap midline for partials. Key settings Max FVG Display : memory cap to keep charts fast. Try 30 to 60 on intraday. Min FVG Size % : sets a quality floor. Start near 0.20 to 0.50 on liquid markets. RSI Length and Smooth : 14 and 3 are balanced. Increase length for higher timeframe stability. RSI Source : Returns : most sensitive to true momentum bursts Close : traditional. Volume : uses raw volume impulses to judge footprint strength. Filter by RSI Extremes : tighten rules so only the most stretched gaps print as signals. Heatmap Style and Palette : pick a palette with good contrast for your background. Gradient for continuous feel, Discrete for quick zoning, Simple for binary, Palette for scientific schemes. Extend Unfilled - Auto Remove : choose live projection and cleanup behavior to match your workflow. Reading the chart Bullish zones sit beneath price. Respect and hold of the upper boundary suggests demand. Strong green or warm palette tones indicate impulse quality. Bearish zones sit above price. Respect and hold of the lower boundary suggests supply. Strong red or cool palette tones indicate impulse quality. Stacking : multiple same-direction gaps stacked in a trend create ladders. Ladders often act as stepping stones for continuation. Overlapping : opposing gaps overlapping in a small region usually mark a battle zone. Expect chop until one side is absorbed. Workflow tips Map higher timeframe trend first. Use lower timeframe FVGs for entries aligned with the higher timeframe bias. Increase Min FVG Size percent and RSI length for noisy symbols. Use labels when learning to correlate the RSI numbers with your palette colors. Combine with VWAP or moving averages for confluence at FVG edges. If you see repeated fills and refills of the same zone, treat that area as fair value and avoid chasing. Alerts included New Bullish FVG New Bearish FVG Bullish FVG Filled Bearish FVG Filled Extreme Oversold FVG - bullish Extreme Overbought FVG - bearish Practical defaults RSI Length 14, Smooth 3, Source Returns. Min FVG Size 0.25 percent on liquid majors. Heatmap Style Gradient, Palette Viridis or Turbo for contrast. Extend Unfilled on, Auto Remove on for a clean live map. Notes This tool does not predict the future. It maps imbalances and momentum so you can frame trades with clearer context, cleaner invalidation, and better ranking of which gaps matter. Use it with risk control and in combination with your broader process.
Pine Script® 인디케이터
BackQuant의
Institutional Orderflow Pro — VWAP, Delta, and Liquidity Institutional Orderflow Pro is a next-generation order flow analysis indicator designed to help traders identify institutional participation, directional bias, and exhaustion zones in real time. Unlike traditional volume-based indicators, it merges VWAP dynamics, cumulative delta, relative volume, and liquidity proximity into a single unified dashboard that updates tick-by-tick — without repainting. The indicator is open-source, transparent, and educational. It aims to provide traders with a clearer read on who controls the market — buyers or sellers — and where liquidity lies. The indicator combines multiple institutional-grade analytics into one framework: RVOL (Relative Volume) = Compares current volume against the average of recent bars to identify strong institutional participation. zΔ (Delta Z-Score) = Normalizes the buying/selling delta to reveal unusually aggressive market behavior. CVDΔ (Cumulative Volume Delta Change) = Shows which side (buyers/sellers) is dominating this bar’s order flow. VWAP Direction & Slope = Determines whether price is trading above/below VWAP and whether VWAP is trending or flat. PD Distance (Prev Day Confluence) = Measures the current price’s distance from previous day’s high, low, close, and VWAP in ATR units — highlighting liquidity zones. ABS/EXH Detection = Identifies institutional absorption and exhaustion patterns where momentum may reverse. Bias Computation = Combines VWAP direction + slope to give a simplified regime signal: UP, DOWN, or FLAT. All metrics are displayed through a color-coded, non-repainting HUD: 🟢 = bullish / favorable conditions 🔴 = bearish / weak conditions ⚫ = neutral / flat 🟡 = absorption (potential trap zone) 🟠 = exhaustion (momentum fading) | Metric | Signal | Meaning | | ---------------------- | ------- | ---------------------------------------------- | | **RVOL ≥ 1.3** | 🟢 | High institutional activity — valid setup zone | | **zΔ ≥ 1.2 / ≤ -1.2** | 🟢 / 🔴 | Unusual buy/sell aggression | | **CVDΔ > 0** | 🟢 | Buyers dominate this bar | | **VWAP dir ↑ / ↓** | 🟢 / 🔴 | Institutional bias long/short | | **Slope ok = YES** | 🟢 | Trending market | | **PD dist ≤ 0.35 ATR** | 🟢 | Near key liquidity zones | | **Bias = UP/DOWN** | 🟢 / 🔴 | Trend-aligned environment | | **ABS/EXH active** | 🟡 / 🟠 | Caution — possible reversal zone | How to Use Confirm Volume Context → RVOL > 1.2 Align with Bias → Take longs only when Bias = UP, shorts only when Bias = DOWN. Check Slope and VWAP Dir → Ensure trending context (Slope = YES). Confirm CVD and zΔ → Flow should agree with price direction. Avoid ABS/EXH Triggers → These signal exhaustion or absorption by large players. Enter Near PD Zones → Ideal trade zones are within 0.35 ATR of prior-day levels. This multi-factor confirmation reduces noise and focuses only on high-probability institutional setups. Originality This script was written from scratch in Pine v6. It does not reuse existing public indicators except for standard built-ins (ta.vwap, ta.atr, etc.). The unique combination of delta z-scoring, VWAP slope filtering, and real-time confluence zones distinguishes it from typical orderflow tools or cumulative delta overlays. The core innovation is its merged real-time HUD that integrates institutional metrics and natural-language feedback directly on the chart, allowing traders to read market context intuitively rather than decode multiple subplots. Notes & Disclaimers This indicator does not repaint. It’s intended for educational and analytical purposes only — not as financial advice or a guaranteed signal system. Works best on liquid instruments (Futures, Indices, FX majors). Avoid non-standard chart types (Heikin Ashi, Renko, etc.) for accurate readings. Open-source, modifiable, and compatible with Pine v6. Recommended Use Apply it with clean charts and standard candles for the best clarity. Use alongside a basic structure or volume profile to contextualize institutional bias zones. Author: Dhawal Ranka Category - Orderflow / VWAP / Institutional Analysis Version: Pine Script™ v6 License: Open Source (Educational Use)
Pine Script® 인디케이터
thewallranka의
2
Binary Options Fast Scalping [TradingFinder] M1 & M5 Signals🔵 Introduction In the structure of financial markets, spiky moments and sudden price movements play a key role in Liquidity Grabs and Market Structure Resets. These movements usually occur after the accumulation of orders in Buy Side or Sell Side Liquidity zones and are accompanied by rapid breaks in the form of Break of Structure (BoS) or Change of Character (CHoCH). At this stage, the market temporarily moves in the direction of liquidity to trigger counter orders and then enters a Retracement or Pullback phase, a point where professional traders using the Smart Money Concept (SMC) look for candle confirmation to enter with precision. This strategy is built upon the same logic : an initial spiky move as a signal of institutional or liquidity driven algorithms, followed by a controlled pullback toward areas such as the Order Block, Fair Value Gap (FVG), or Imbalance Zone, and finally an entry based on a strong confirmation candle (Engulf, Rejection, Breaker) that defines the true direction of order flow. This combination of price behavior, especially on lower timeframes such as M1 or M5, provides an ideal setup for fast Scalping, Micro Structure Trading, and even short term directional prediction in Binary Options Trading. Since the main focus of this method is on identifying liquidity phases, structural confirmations, and momentum confirmation candles, the trader can design entries with high probability and logical stop loss placement using the concepts of Fractal Market Structure and Multi Timeframe Confirmation. In the scalping version, the main objective is to capture the move toward the next liquidity pool or opposite demand and supply zone, while in the binary version, only the prediction of the next candle’s direction matters. This strategy inherently operates based on Smart Money Behavior, Liquidity Engineering, and Order Flow Dynamics, allowing the extraction of fast and profitable moves from the internal logic of market structure. 🔵 How to Use The operational logic of this strategy is based on Liquidity Sweep, Pullback, and Confirmation Candle. The trader should first identify the initial Impulse Move, which is often accompanied by liquidity absorption around Buy Side or Sell Side Liquidity areas. After that, the market enters the Retracement phase and returns to structural zones such as the Order Block or the Fair Value Gap (FVG). At this point, a position is taken only when a confirmation candle (Engulf, Breaker, or Rejection Candle) closes in the direction of continuation and aligns with the new structure (BOS or CHoCH). Applying this model on lower timeframes offers the highest precision for fast Scalping or for predicting the next candle’s direction in Binary Option trading. 🟣 Bullish Setup In the bullish setup, the market first forms a spiky upward move with a sudden increase in momentum, indicating the activation of liquidity flow in the Buy Side Liquidity zone. This movement is usually accompanied by a Break of Structure (BOS) to the upside and marks the beginning of the Impulse Move phase. After this move, the price enters the Pullback phase and returns to structural areas such as the Bullish Order Block, Fair Value Gap (FVG), or Mitigation zone. At this stage, the trader waits for a bullish confirmation candle (Bullish Engulf or Breaker Candle) to validate the end of the retracement. Entry is made at the close of the confirmation candle or on a minor pullback, with the stop loss placed below the Swing Low or below the pullback zone. The target is set at the next Buy Side Liquidity or Equal Highs. In the binary version, only the direction of the next candle matters and the entry takes place immediately after the confirmation candle. 🟣 Bearish Setup In the bearish setup, the market first forms a spiky downward move, signaling increased selling pressure and liquidity absorption at the Sell Side Liquidity zone. This movement is accompanied by a Break of Structure (BOS) to the downside and represents the beginning of a bearish momentum phase. After the spike, the price enters the Retracement phase and returns to the Bearish Order Block or bearish Fair Value Gap zone. Within these areas, the formation of a bearish confirmation candle (Bearish Engulf, Breaker, or Rejection Candle) validates the continuation of the downtrend. The entry is taken at the close of the confirmation candle, with the stop loss placed above the Swing High or above the pullback zone, and the target set toward the next Sell Side Liquidity or Equal Lows. In binary applications, only the direction of the next candle is considered and the confirmation candle serves as the entry trigger. 🔵 Conclusion This strategy, by combining the principles of the Smart Money Concept, Liquidity Dynamics, and Candle Confirmation Logic, offers a precise and multi functional approach to market entry. Its core structure, identifying the initial spiky movement, waiting for a structural pullback, and entering based on a confirmation candle allows quick interpretation of institutional liquidity behavior and provides trading opportunities with high accuracy and controlled risk. On lower timeframes, this logic becomes a powerful tool for Scalping and Micro Structure Trading, while in binary markets it delivers high success rates due to its focus on predicting the next candle’s direction. Built upon the foundations of Order Flow, Market Structure, and Fractal Liquidity Behavior, this strategy demonstrates that even in the fastest and noisiest market conditions, the order of Smart Money remains observable and exploitable.
Pine Script® 인디케이터
TFlab의
Kalman Exponentialy Weighted Moving Average | MisinkoMasterThe Kalman Exponentialy Weighted Moving Average is a technical analysis tool providing users with more responsive and smoother signals, providing crystal-clear signals and giving investors valuable insights on market trends, however it could be used in many cases. A deeper dive into the indicator: When going through my creation of strategies, I had stumbled on an indicator called "EWMA", which worked decently, but it was far too simple in my opinion so I decided to combine the EMA & WMA, but with a little more complexity, and it has worked . I began by learning how both MAs work, I already knew how WMA works, but EMA I did not. After learning both I found out they were quite simple in principle and that there was a way to combine them in such way that you would get really good signals, however it was way too noisy. While it could avoid major dumps that were not avoided by most indicators, it would lose that edge because of being too noisy. After testing out many conditions, combinations & more, the best working one was this one: WMA > KEWMA = long WMA < KEWMA = short I will explain this later, but this gave fast signals, and while it still was noisy it was better then before. To smooth it out, I started testing price filters => Gaussian Filter and many more were tested out, but they either slowed it down to the point it was no longer of much use, or did not smooth it at all. After testing the Kalman filter on this thing, I was shocked. It was just right and made the indicator a lot better, smoothed it and kept most of the responsivness it had. Now to the big question: "How is it calculated?" Now first it needs to calculate the Kalman source, which smooths the source which will be used. After that, we calculate the Weighted Moving Average for " n " period on the Kalman source. Now that we have our WMA values, we need to calculate " a ". a is calculated in the following formula: a = 2/(1+ n ) where n is the user defined length Now for the last part: KEWMA = WMAyesterday * (1-a) + WMAtoday * a This creates a very accurate and reactive indicator, that can prove useful in many uses, beyond those I will and did talk about. For the trend logic as mentioned before: Long = WMA > KEWMA Short = WMA < KEWMA This worked best, but you might find better ways of using it. I think that is all I have to say about it, I left it open source so you can all code it in your strategies and play around with it. Enjoy Gs!
Pine Script® 인디케이터
MisinkoMaster의
2
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands. Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping. You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees. It additionally helps taking trading decisions or not with very small trades (Scalping). You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff. Fee Overview in the current market for the indicator input field: BingX with 10% fee reduction code = 0,045 % BingX: Normal = 0,050 % Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 % Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 % Have fun Trading, Happy Profits! Greetings ToniTrading
Pine Script® 인디케이터
ToniTradingCrypto의
Volume Cluster Heatmap [BackQuant]Volume Cluster Heatmap A visualization tool that maps traded volume across price levels over a chosen lookback period. It highlights where the market builds balance through heavy participation and where it moves efficiently through low-volume zones. By combining a heatmap, volume profile, and high/low volume node detection, this indicator reveals structural areas of support, resistance, and liquidity that drive price behavior. What Are Volume Clusters? A volume cluster is a horizontal aggregation of traded volume at specific price levels, showing where market participants concentrated their buying and selling. High Volume Nodes (HVN) : Price levels with significant trading activity; often act as support or resistance. Low Volume Nodes (LVN) : Price levels with little trading activity; price moves quickly through these areas, reflecting low liquidity. Volume clusters help identify key structural zones, reveal potential reversals, and gauge market efficiency by highlighting where the market is balanced versus areas of thin liquidity. By creating heatmaps, profiles, and highlighting high and low volume nodes (HVNs and LVNs), it allows traders to see where the market builds balance and where it moves efficiently through thin liquidity zones. Example: Bitcoin breaking away from the high-volume zone near 118k and moving cleanly through the low-volume pocket around 113k–115k, illustrating how markets seek efficiency: Core Features Visual Analysis Components: Heatmap Display : Displays volume intensity as colored boxes, lines, or a combination for a dynamic view of market participation. Volume Profile Overlay : Shows cumulative volume per price level along the right-hand side of the chart. HVN & LVN Labels : Marks high and low volume nodes with color-coded lines and labels. Customizable Colors & Transparency : Adjust high and low volume colors and minimum transparency for clear differentiation. Session Reset & Timeframe Control : Dynamically resets clusters at the start of new sessions or chosen timeframes (intraday, daily, weekly). Alerts HVN / LVN Alerts : Notify when price reaches a significant high or low volume node. High Volume Zone Alerts : Trigger when price enters the top X% of cumulative volume, signaling key areas of market interest. How It Works Each bar’s volume is distributed proportionally across the horizontal price levels it touches. Over the lookback period, this builds a cumulative volume profile, identifying price levels with the most and least trading activity. The highest cumulative volume levels become HVNs, while the lowest are LVNs. A side volume profile shows aggregated volume per level, and a heatmap overlay visually reinforces market structure. Applications for Traders Identify strong support and resistance at HVNs. Detect areas of low liquidity where price may move quickly (LVNs). Determine market balance zones where price may consolidate. Filter noise: because volume clusters aggregate activity into levels, minor fluctuations and irrelevant micro-moves are removed, simplifying analysis and improving strategy development. Combine with other indicators such as VWAP, Supertrend, or CVD for higher-probability entries and exits. Use volume clusters to anticipate price reactions to breaking points in thin liquidity zones. Advanced Display Options Heatmap Styles : Boxes, lines, or both. Boxes provide a traditional heatmap, lines are better for high granularity data. Line Mode Example : Simplified line visualization for easier reading at high level counts: Profile Width & Offset : Adjust spacing and placement of the volume profile for clarity alongside price. Transparency Control : Lower transparency for more opaque visualization of high-volume zones. Best Practices for Usage Reduce the number of levels when using line mode to avoid clutter. Use HVN and LVN markers in conjunction with volume profiles to plan entries and exits. Apply session resets to monitor intraday vs. multi-day volume accumulation. Combine with other technical indicators to confirm high-probability trading signals. Watch price interactions with LVNs for potential rapid movements and with HVNs for possible support/resistance or reversals. Technical Notes Each bar contributes volume proportionally to the price levels it spans, creating a dynamic and accurate representation of traded interest. Volume profiles are scaled and offset for visual clarity alongside live price. Alerts are fully integrated for HVN/LVN interaction and high-volume zone entries. Optimized to handle large lookback windows and numerous price levels efficiently without performance degradation. This indicator is ideal for understanding market structure, detecting key liquidity areas, and filtering out noise to model price more accurately in high-frequency or algorithmic strategies.
Pine Script® 인디케이터
BackQuant의
4
PulseGrid Universal Scalper - Adaptive Pulse and Symmetric SpansInstrument agnostic. Works on any symbol and timeframe supported by TradingView. Message or hit me up in chat for full access . Purpose and scope PulseGrid is a short timeframe strategy designed to read intrabar structure and recent path so that entries align with actionable momentum and context. The strategy is private. The description below provides all the information needed to understand how it behaves, how it sizes risk, how to tune it responsibly, and how to evaluate results without making unrealistic claims. The design is instrument agnostic. It runs on any asset class that prints open high low close bars on TradingView. That includes commodities such as Gold and WTI, currencies, crypto, equity indices, and single stocks. Performance will always depend on the symbol’s liquidity, spread, slippage, and session structure, which is why the description focuses on principles and safe parameter ranges instead of hard promises. What the strategy does at a glance It builds a composite entry signal named Pulse from five normalized bar features that reflect short term pressure and follow through. It applies regime guards that keep the strategy inactive when the tape is either too quiet, too bursty, or too directionally random. It optionally uses a directional filter where a fast and a slow exponential average must agree and their gap must be material relative to recent true range. When a signal is allowed, risk is sized using symmetric spans that come from nearby untraded price distances above and below the market. The strategy sets a single stop and a single take profit from those spans. Lines for entry, stop, and take profit are drawn on the chart. A compact on chart table shows trade counts, win rate, average R per trade, and profit factor for all trades, longs only, and shorts only. This combination yields entries that are reactive but not chaotic, and risk lines that respect the market’s recent path instead of generic pip or point targets. Why the design is original and useful The core originality is the union of a composite entry that adapts to volatility and a geometry based risk model. The entry uses five different viewpoints on the same bar space instead of relying on a single technical indicator. The risk model uses spans that come from actual untraded distance rather than fixed multipliers of a generic volatility measure. The result is a framework that is simple to read on a chart and simple to evaluate, yet it avoids the traps of curve fitting to one symbol or one month of data. Because everything is normalized locally, the same logic translates across asset classes with only modest tuning. The Pulse composite in detail Pulse is a weighted blend of the following normalized features. Impulse imbalance. The script sums upward and downward impulses over a short window. An upward impulse is the extension of highs relative to the prior bar. A downward impulse is the extension of lows relative to the prior bar. The net imbalance, scaled by the local range, captures whether extension pressure is building or fading. Wick and close location. Inside each bar, the distance between the close and the extremes carries information about rejection or acceptance. A bar that closes near the high with relatively heavier lower wick suggests upward acceptance. A bar that closes near the low with heavier upper wick suggests downward acceptance. A weight controls the contribution of wick skew versus close location so that users can favor reversal or momentum behaviour. Shock touches. Within the recent range window, touches that occur very near the top decile or bottom decile are marked. A short sliding window counts recent shocks. Frequent top shocks in a rising context suggest supply tests. Frequent bottom shocks in a declining context suggest demand tests. The count is normalized by window length. Breakout ledger. The script compares current extremes to lagged extremes and keeps a simple count of recent upside and downside breakouts. The difference behaves as a short term polarity meter. Curvature. A simple second difference in closing price acts as a curvature term. It is normalized by the recent maximum of absolute one bar returns so that the value remains bounded and comparable to other terms. Pulse is smoothed over a fraction of the main signal length. Smoothing removes impulse spikes without destroying the quick reaction that scalpers need. The absolute value of smoothed Pulse can be used with an adaptive gate so that only the top percentile of energy for the recent environment is eligible for entries. A small floor prevents accidental entries during very quiet periods. Regime guards that keep the strategy selective Three guards must all pass before any entry can occur. Auction Balance Factor. This is the proportion of closes that land inside a mid band of the prior bar’s high to low range. High values indicate balanced chop where breakouts tend to fail. Low values indicate directional conditions. The strategy requires ABF to sit below a user chosen maximum. Dispersion via a Gini style measure on absolute returns. Very low dispersion means bars are small and uniform. Very high dispersion means a few outsized bars dominate and slippage risk can be elevated. The strategy allows the user to require the dispersion measure to remain inside a band that reflects healthy activity. Binary entropy of direction. Over the core window, the proportion of up closes is used to compute a simple entropy. Values near one indicate coin flip behaviour. Values near zero indicate one sided sequences. The guard requires entropy below a ceiling so that random directionality does not produce noise entries. An optional directional filter asks that a fast and a slow exponential average agree on direction and that their gap, when divided by an average true range, exceed a threshold. This filter can be enabled on symbols that trend cleanly and disabled when the composite entry is already selective enough. Risk sizing with symmetric spans Instead of fixed points or a pure ATR multiplier, the strategy sizes stops and targets from a pair of spans. The upward span reflects recent untraded distance above the market. The downward span reflects recent untraded distance below the market. Each span is floored by a fallback that comes from the maximum of a short simple range average and a standard average true range. A tick based floor prevents microscopic stops on instruments with high tick precision. An asymmetry cap prevents one span from becoming many times larger than the other. For long entries the stop is a multiple of the downward span and the target is a multiple of the upward span. For short entries the stop is a multiple of the upward span and the target is a multiple of the downward span. This creates a risk box that is symmetric by construction yet adaptive to recent voids and gaps. Execution, ties, and housekeeping Entries evaluate at bar close. Exits are tested from the next bar forward. If both stop and target are hit within the same bar, the outcome can be resolved in a consistent way that favors the stop or the target according to a single user setting. A short cooldown in bars prevents flip flops. Users can restrict entries to specific sessions such as London and New York. The chart renders entry, stop, and target lines for each trade so that every action is visible. The table in the top right shows trade counts, take profit and stop counts, win rate, average R per trade, and profit factor for the whole set and by direction. Defaults and responsible backtesting The default properties in the script use a realistic initial capital and commission value. Users should also set slippage in the strategy properties to reflect their broker and symbol. Small timeframe trading is sensitive to friction and the strategy description does not claim immunity to that reality. The strategy is intended to be tested on a dataset that produces a meaningful sample of trades. A sample in the range of a hundred trades or more is preferred because variance in short samples can be large. On thin symbols or periods with little regular trading, users should either change timeframe, change sessions, or use more selective thresholds so that the sample contains only liquid scenarios. Universal usage across markets The strategy is universal by design. It will run and produce lines on any open high low close series on TradingView. The composite entry is made of normalized parts. The regime guards use proportions and bounded measures. The spans use untraded distance and range floors measured in the local price scale. This allows the same logic to function on a currency pair, a commodity, an index future, a stock, or a crypto pair. What changes is calibration. A safe approach for universal use is as follows. Start with the default signal length and wick weight. If the chart prints many weak signals, enable the directional filter and raise the normalized gap threshold slightly. If the chart is too quiet, lower the adaptive percentile or, with adaptive off, lower the fixed pulse threshold by a small amount. If stops are too tight in quiet regimes, raise the fallback span multiplier or raise the minimum tick floor in ticks. If you observe long one sided days, lower the maximum entropy slightly so that entries only occur when directionality is genuine rather than alternating. Because the logic is bounded and local, these simple steps carry over across symbols. That is why the strategy can be used literally on any asset that you can load on a TradingView chart. The code does not depend on a specific tick size or a specific exchange calendar. It will still remain true that symbols with higher spread or fewer regular trading hours demand stricter thresholds and larger floors. Suggested parameter ranges for common cases These ranges are guidelines for one to five minute bars. They are not promises of performance. They reflect the balance between having enough signals to learn from and keeping noise controlled. Signal length between 18 and 34 for liquid commodities and large capitalization equities. Wick weight between 0.30 and 0.50 depending on whether you want reversal recognition or close momentum. Adaptive gate percentile between 85 and 93 when adaptive is enabled. Fixed threshold between 0.10 and 0.18 when adaptive is disabled. Use a non zero floor so very quiet periods still require some energy. Auction Balance Factor maximum near 0.70 for symbols with clear session bursts. Slightly higher if you prefer to include more balanced prints. Dispersion band with a lower bound near 0.18 and an upper bound near 0.68 for most session instruments. Tighten the band if you want to skip very bursty days or very flat days. Entropy maximum near 0.90 so coin flip phases are filtered. Lower the ceiling slightly if the symbol whipsaws frequently. Stop multiplier near one and take profit multiplier between two and three for a single target approach. Larger target multipliers reduce hit rate and lengthen holding time. These are safe starting points across commodities, currencies, indices, equities, and crypto. From there, small increments are preferred over dramatic changes. How to evaluate responsibly A clean chart and a direct test process help avoid confusion. Use standard candles for signals and exits. If you use a non standard chart type such as Heikin Ashi or Renko, do so only for visualization and not for the strategy’s signal computation, as those chart types can produce unrealistic fills. Turn off other indicators on the published chart unless they are needed to demonstrate a specific property of this strategy. When you post results or discuss outcomes, include the symbol, timeframe, commission and slippage settings, and the session settings used. This makes the context clear and avoids misleading readers. When you look at results, consider the following. The distribution of R per trade. A positive average R with a moderate profit factor suggests that exits are sized appropriately for the symbol. The balance between long and short sides. The HUD table separates the two so you can see if one side carries the edge for that symbol. The sensitivity to the tie preference. If many bars hit both stop and take profit, the market is chopping inside the risk box and you may need larger floors or stricter regime guards. The session effect. Session hours matter for many instruments. Align your session filter with where liquidity and volatility concentrate. Known limitations and honest warnings PulseGrid is not a guarantee of future profit. It is a systematic way to read short term structure and to size risk in a way that reflects recent path. It assumes that the data feed reflects the exchange reality. It assumes that slippage and spread are non zero and uses explicit commission and user provided slippage to approximate that. It does not place multiple targets. It does not trail stops. It is not a high frequency system and does not attempt to model queue priority or microsecond fills. On illiquid symbols or very short timeframes outside regular hours, signals will be less reliable. Users are responsible for choosing realistic settings and for evaluating whether the symbol’s conditions are suitable. First use checklist Load the symbol and timeframe you care about. If the instrument has clear sessions, turn on the session filter and select realistic London and New York hours or other sessions relevant to the instrument. Set commission and slippage in the strategy properties to values that match your broker or exchange. Run the strategy with defaults. Look at the HUD summary and the lines. Decide whether to enable the directional filter. If you see frequent reversals around the entry line, enable it and raise the normalized gap threshold slightly. Adjust the adaptive gate. If the chart floods, raise the percentile. If the chart starves, lower it or use a slightly lower fixed threshold. Adjust the fallback span multiplier and tick floor so that stops are never microscopic. Review per session performance. If one session underperforms, restrict entries to the better one. This simple process takes minutes and transfers to any other symbol. Why this script is private The source remains private so that the underlying method and its implementation details are not copied or republished. The description here is complete and self contained so that users can understand the purpose, originality, usage, and limitations without needing to inspect the source. Privacy does not change the strategy’s on chart behavior. It only protects the specific coding details. Guarantee and compliance statements This description does not contain advertising, solicitations, links, or contact information. It does not make performance promises. It explains how the script is original and how it works. It also warns about limitations and the need for realistic assumptions. The strategy is not investment advice and is not created only for qualified investors. It can be tested and used for educational and research purposes. Users should read TradingView’s documentation on script properties and backtesting. Users should avoid non standard chart types for signal computation because those produce unrealistic results. Users should select realistic account sizes and friction settings. Users should not post claims without showing the settings used. Closing summary PulseGrid is a compact framework for short timeframe trading that combines a composite entry built from multiple normalized bar features with a symmetric span model for risk. The entry adapts to volatility. The regime guards keep the strategy inactive when the tape is either too quiet or too erratic. The risk geometry respects recent untraded spans instead of arbitrary distances. The entire design is instrument agnostic. It will run on any symbol that TradingView supports and it will behave consistently across asset classes with modest tuning. Use it with a clean chart, realistic friction, and enough trades to make your evaluation meaningful. Use sessions if the instrument concentrates activity in specific hours. Adjust one control at a time and prefer small increments. The goal is not to find a magic parameter. The goal is to maintain a stable rule set that reads market structure in a way you can trust and audit.
Pine Script® 인디케이터
exlux의
Bollinger Band Screener [Pineify]Multi-Symbol Bollinger Band Screener Pineify – Advanced Multi-Timeframe Market Analysis Unlock the power of rapid, multi-asset scanning with this original TradingView Pine Script. Expose trends, volatility, and reversals across your favorite tickers—all in a single, customizable dashboard. Key Features Screens up to 8 symbols simultaneously with individual controls. Covers 4 distinct timeframes per symbol for robust, multi-timeframe analysis. Integrates advanced Bollinger Band logic, adaptable with 11+ moving average types (SMA, EMA, RMA, HMA, WMA, VWMA, TMA, VAR, WWMA, ZLEMA, and TSF). Visualizes precise state changes: Open/Parallel Uptrends & Downtrends, Consolidation, Breakouts, and more. Highly interactive table view for instant signal interpretation and actionable alerts. Flexible to any market: crypto, stocks, forex, indices, and commodities. How It Works For each chosen symbol and timeframe, the script calculates Bollinger Bands using your specified source, length, standard deviation, and moving average method. Real-time state recognition assigns one of several states (Open Rising, Open Falling, Parallel Rising, Parallel Falling), painting the table with unique color codes. State detection is rigorously defined: e.g., “Open Rising” is set when both bands and the basis rise, indicating strong up momentum. All bands, signals, and strategies dynamically update as new bars print or user inputs change. Trading Ideas and Insights Identify volatility expansions and compressions instantly, spotting breakouts and breakdowns before they play out. Spot multi-timeframe confluences—when trends align across several TFs, conviction increases for potential trades. Trade reversals or continuations based on unique Bollinger Band patterns, such as squeeze-break or persistent parallel moves. Harness this tool for scalping, swing trading, or systematic portfolio screens—your logic, your edge! How Multiple Indicators Work Together This screener’s core strength is its integration of multiple moving average types into Bollinger Band construction, not just standard SMA. Each average adapts the bands’ responsiveness to trend and noise, so traders can select the underlying logic that matches their market environment (e.g., HMA for fast moves or ZLEMA for smoothed lag). Overlaying 4 timeframes per symbol ensures trends, reversals, and volatility shifts never slip past your radar. When all MAs and bands synchronize across symbols and TFs, it becomes easy to separate real opportunity from market noise. Unique Aspects Perhaps the most flexible Bollinger Band screener for TradingView—choose from over 10 moving average methods. Powerful multi-timeframe and multi-asset design, rare among Pine scripts. Immediate visual clarity with color-coded table cells indicating band state—no need for guesswork or chart clutter. Custom configuration for each asset and time slice to suit any trading style. How to Use Add the script to your TradingView chart. Use the user-friendly input settings to specify up to 8 symbols and 4 timeframes each. Customize the Bollinger Band parameters: source (price type), band length, standard deviation, and type of moving average. Interpret the dashboard: Color codes and “state” abbreviations show you instantly which symbols and timeframes are trending, consolidating, or breaking out. Take trades according to your strategy, using the screener as a confirmation or primary scan tool. Customization Fully customize: symbols, timeframes, source, band length, standard deviation multiplier, and moving average type. Supports intricate watchlists—anything TradingView allows, this script tracks. Adapt for cryptos, equities, forex, or derivatives by changing symbol inputs. Conclusion The Multi-Symbol Bollinger Band Screener “Pineify” is a comprehensive, SEO-optimized Pine Script tool to supercharge your market scanning, trend spotting, and decision-making on TradingView. Whether you trade crypto, stocks, or forex—its fast, intuitive, multi-timeframe dashboard gives you the informational edge to stay ahead of the market. Try it now to streamline your trading workflow and see all the bands, all the trends, all the time!
Pine Script® 인디케이터
Pineify의
Cumulative Volume Delta Z Score [BackQuant]Cumulative Volume Delta Z Score The Cumulative Volume Delta Z Score indicator is a sophisticated tool that combines the cumulative volume delta (CVD) with Z-Score normalization to provide traders with a clearer view of market dynamics. By analyzing volume imbalances and standardizing them through a Z-Score, this tool helps identify significant price movements and market trends while filtering out noise. Core Concept of Cumulative Volume Delta (CVD) Cumulative Volume Delta (CVD) is a popular indicator that tracks the net difference between buying and selling volume over time. CVD helps traders understand whether buying or selling pressure is dominating the market. Positive CVD signals buying pressure, while negative CVD indicates selling pressure. The addition of Z-Score normalization to CVD makes it easier to evaluate whether current volume imbalances are unusual compared to past behavior. Z-Score helps in detecting extreme conditions by showing how far the current CVD is from its historical mean in terms of standard deviations. Key Features Cumulative Volume Delta (CVD): Tracks the net buying vs. selling volume, allowing traders to gauge the overall market sentiment. Z-Score Normalization: Converts CVD into a standardized value to highlight extreme movements in volume that are statistically significant. Divergence Detection: The indicator can spot bullish and bearish divergences between price and CVD, which can signal potential trend reversals. Pivot-Based Divergence: Identifies price and CVD pivots, highlighting divergence patterns that are crucial for predicting price changes. Trend Analysis: Colors bars according to trend direction, providing a visual indication of bullish or bearish conditions based on Z-Score. How It Works Cumulative Volume Delta (CVD): The CVD is calculated by summing the difference between buying and selling volume for each bar. It represents the net buying or selling pressure, giving insights into market sentiment. Z-Score Normalization: The Z-Score is applied to the CVD to normalize its values, making it easier to compare current conditions with historical averages. A Z-Score greater than 0 indicates a bullish market, while a Z-Score less than 0 signals a bearish market. Divergence Detection: The indicator detects regular and hidden bullish and bearish divergences between price and CVD. These divergences often precede trend reversals, offering traders a potential entry point. Pivot-Based Analysis: The indicator uses pivot highs and lows in both price and CVD to identify divergence patterns. A bullish divergence occurs when price makes a lower low, but CVD fails to follow, suggesting weakening selling pressure. Conversely, a bearish divergence happens when price makes a higher high, but CVD doesn't confirm the move, indicating potential selling pressure. Trend Coloring: The bars are colored based on the trend direction. Green bars indicate an uptrend (CVD is positive), and red bars indicate a downtrend (CVD is negative). This provides an easy-to-read visualization of market conditions. Standard Deviation Levels: The indicator plots ±1σ, ±2σ, and ±3σ levels to indicate the degree of deviation from the average CVD. These levels act as thresholds for identifying extreme buying or selling pressure. Customization Options Anchor Timeframe: The user can define an anchor timeframe to aggregate the CVD, which can be customized based on the trader’s needs (e.g., daily, weekly, custom lower timeframes). Z-Score Period: The period for calculating the Z-Score can be adjusted, allowing traders to fine-tune the indicator's sensitivity. Divergence Detection: The tool offers controls to enable or disable divergence detection, with the ability to adjust the lookback periods for pivot detection. Trend Coloring and Visuals: Traders can choose whether to color bars based on trend direction, display standard deviation levels, or visualize the data as a histogram or line plot. Display Options: The indicator also allows for various display options, including showing the Z-Score values and divergence signals, with customizable colors and line widths. Alerts and Signals The Cumulative Volume Delta Z Score comes with pre-configured alert conditions for: Z-Score Crossovers: Alerts are triggered when the Z-Score crosses the 0 line, indicating a potential trend reversal. Shifting Trend: Alerts for when the Z-Score shifts direction, signaling a change in market sentiment. Divergence Detection: Alerts for both regular and hidden bullish and bearish divergences, offering potential reversal signals. Extreme Imbalances: Alerts when the Z-Score reaches extreme positive or negative levels, indicating overbought or oversold market conditions. Applications in Trading Trend Identification: Use the Z-Score to confirm bullish or bearish trends based on cumulative volume data, filtering out noise and false signals. Reversal Signals: Divergences between price and CVD can help identify potential trend reversals, making it a powerful tool for swing traders. Volume-Based Confirmation: The Z-Score allows traders to confirm price movements with volume data, providing more reliable signals compared to price action alone. Divergence Strategy: Use the divergence signals to identify potential points of entry, particularly when regular or hidden divergences appear. Volatility and Market Sentiment: The Z-Score provides insights into market volatility by measuring the deviation of CVD from its historical mean, helping to predict price movement strength. The Cumulative Volume Delta Z Score is a powerful tool that combines volume analysis with statistical normalization. By focusing on volume imbalances and applying Z-Score normalization, this indicator provides clear, reliable signals for trend identification and potential reversals. It is especially useful for filtering out market noise and ensuring that trades are based on significant price movements driven by substantial volume changes. This indicator is perfect for traders looking to add volume-based analysis to their strategy, offering a more robust and accurate way to gauge market sentiment and trend strength.
Pine Script® 인디케이터
BackQuant의
2
Volume Sampled Supertrend [BackQuant]Volume Sampled Supertrend A Supertrend that runs on a volume sampled price series instead of fixed time. New synthetic bars are only created after sufficient traded activity, which filters out low participation noise and makes the trend much easier to read and model. Original Script Link This indicator is built on top of my volume sampling engine. See the base implementation here: Why Volume Sampling Traditional charts print a bar every N minutes regardless of how active the tape is. During quiet periods you accumulate many small, low information bars that add noise and whipsaws to downstream signals. Volume sampling replaces the clock with participation. A new synthetic bar is created only when a pre-set amount of volume accumulates (or, in Dollar Bars mode, when pricevolume reaches a dollar threshold). The result is a non-uniform time series that stretches in busy regimes and compresses in quiet regimes. This naturally: filters dead time by skipping low volume chop; standardizes the information content per bar, improving comparability across regimes; stabilizes volatility estimates used inside banded indicators; gives trend and breakout logic cleaner state transitions with fewer micro flips. What this tool does It builds a synthetic OHLCV stream from volume based buckets and then applies a Supertrend to that synthetic price. You are effectively running Supertrend on a participation clock rather than a wall clock. Core Features Sampling Engine - Choose Volume buckets or Dollar Bars . Thresholds can be dynamic from a rolling mean or median, or fixed by the user. Synthetic Candles - Plots the volume sampled OHLC candles so you can visually compare against regular time candles. Supertrend on Synthetic Price - ATR bands and direction are computed on the sampled series, not on time bars. Adaptive Coloring - Candle colors can reflect side, intensity by volume, or a neutral scheme. Research Panels - Table shows total samples, current bucket fill, threshold, bars-per-sample, and synthetic return stats. Alerts - Long and Short triggers on Supertrend direction flips for the synthetic series. How it works Sampling Pick Sampling Method = Volume or Dollar Bars. Set the dynamic threshold via Rolling Lookback and Filter (Mean or Median), or enable Use Fixed and type a constant. The script accumulates volume (or pricevolume) each time bar. When the bucket reaches the threshold, it finalizes one or more synthetic candles and resets accumulation. Each synthetic candle stores its own OHLCV and is appended to the synthetic series used for all downstream logic. Supertrend on the sampled stream Choose Supertrend Source (Open, High, Low, Close, HLC3, HL2, OHLC4, HLCC4) derived from the synthetic candle. Compute ATR over the synthetic series with ATR Period , then form upperBand = src + factorATR and lowerBand = src - factorATR . Apply classic trailing band and direction rules to produce Supertrend and trend state. Because bars only come when there is sufficient participation, band touches and flips tend to align with meaningful pushes, not idle prints. Reading the display Synthetic Volume Bars - The non-uniform candles that represent equal information buckets. Expect more candles during active sessions and fewer during lulls. Volume Sampled Supertrend - The main line. Green when Trend is 1, red when Trend is -1. Markers - Small dots appear when a new synthetic sample is created, useful for aligning activity cycles. Time Bars Overlay (optional) - Plot regular time candles to compare how the synthetic stream compresses quiet chop. Settings you will use most Data Settings Sampling Method - Volume or Dollar Bars. Rolling Lookback and Filter - Controls the dynamic threshold. Median is robust to outliers, Mean is smoother. Use Fixed and Fixed Threshold - Force a constant bucket size for consistent sampling across regimes. Max Stored Samples - Ring buffer limit for performance. Indicator Settings SMA over last N samples - A moving average computed on the synthetic close series. Can be hidden for a cleaner layout. Supertrend Source - Price field from the synthetic candle. ATR Period and Factor - Standard Supertrend controls applied on the synthetic series. Visuals and UI Show Synthetic Bars - Turn synthetic candles on or off. Candle Color Mode - Green/Red, Volume Intensity, Neutral, or Adaptive. Mark new samples - Puts a dot when a bucket closes. Show Time Bars - Overlay regular candles for comparison. Paint candles according to Trend - Colors chart candles using current synthetic Supertrend direction. Line Width , Colors , and Stats Table toggles. Some workflow notes: Trend Following Set Sampling Method = Volume, Filter = Median, and a reasonable Rolling Lookback so busy regimes produce more samples. Trade in the direction of the Volume Sampled Supertrend. Because flips require real participation, you tend to avoid micro whipsaws seen on time bars. Use the synthetic SMA as a bias rail and trailing reference for partials or re-entries. Breakout and Continuation Watch for rapid clustering of new sample markers and a clean flip of the synthetic Supertrend. The compression of quiet time and expansion in busy bursts often makes breakouts more legible than on uniform time charts. Mean Reversion In instruments that oscillate, faded moves against the synthetic Supertrend are easier to time when the bucket cadence slows and Supertrend flattens. Combine with the synthetic SMA and return statistics in the table for sizing and expectation setting. Stats table (top right) Method and Total Samples - Sampling regime and current synthetic history length. Current Vol or Dollar and Threshold - Live bucket fill versus the trigger. Bars in Bucket and Avg Bars per Sample - How much time data each synthetic bar tends to compress. Avg Return and Return StdDev - Simple research metrics over synthetic close-to-close changes. Why this reduces noise Time based bars treat a 5 minute print with 1 percent of average participation the same as one with 300 percent. Volume sampling equalizes bar information content. By advancing the bar only when sufficient activity occurs, you skip low quality intervals that add variance but little signal. For banded systems like Supertrend, this often means fewer false flips and cleaner runs. Notes and tips Use Dollar Bars on assets where nominal price varies widely over time or across symbols. Median filter can resist single burst outliers when setting dynamic thresholds. If you need a stable research baseline, set Use Fixed and keep the threshold constant across tests. Enable Show Time Bars occasionally to sanity check what the synthetic stream is compressing or stretching. Link again for reference Original Volume Based Sampling engine: Bottom line When you let participation set the clock, your Supertrend reacts to meaningful flow instead of idle prints. The result is a cleaner state machine, fewer micro whipsaws, and a trend read that respects when the market is actually trading.
Pine Script® 인디케이터
BackQuant의
Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. Key Features Monitor up to 15 symbols and their trends simultaneously Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend Color-coded table display for instant visual assessment Customizable lookback periods, indicator types, and calculation methods SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator How It Works This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. Set up your preferred symbols and timeframes Each indicator runs its calculation per symbol using its parameter group All results are displayed in a table for a comprehensive dashboard view Trading Ideas and Insights Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. Identify correlated movements or divergences across selected assets Spot synchronized trend changes for basket trading ideas Filter symbols by volatility, strength, or trend status for precise trade selection How Multiple Indicators Work Together The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. Unique Aspects Original implementation combining seven independent trend and momentum indicators for each symbol Rich customization for symbols, timeframes, and all indicator parameters Intuitive color-coding for quick reading of bullish/bearish/neutral signals Comprehensive dashboard for instant actionable insights How to Use Load the indicator onto your TradingView chart Go to the script’s settings and input your preferred symbols and relevant timeframes Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc. Observe the results in the top-right table, then use it to filter candidates and validate trade setups The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy. Customization Choose up to 15 symbols to monitor in a single dashboard Customize lookback periods, indicator types, colors, and display settings Configure alerting options and thresholds for advanced trade automation Conclusion The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.
Pine Script® 인디케이터
Pineify의
Whale Breaker — HTF Order Blocks + Market Structure HUDWhale Breaker (Debug Edition) is an advanced Smart Money Concept (SMC) tool designed to project High Timeframe (HTF) order blocks onto your Lower Timeframe (LTF) charts while tracking market structure breaks (BOS / CHoCH). This debug build adds extra transparency: the mini-HUD not only shows HTF trend, last signal, and active order blocks, but also explains why no new block was created (e.g. no HTF BOS, body not found, ATR filter too strict, max-per-side limit). This makes it easier to fine-tune your settings and understand the logic behind the indicator. Key features: - HTF order blocks (e.g. 1h) projected into LTF charts (e.g. 15m) - Automatic right-extension until mitigation (MB) - Mitigation detection: blocks shaded once filled - ATR filter to remove insignificant micro-zones - Per-side cap: limit the maximum active BU/B blocks - Lookback-based pruning for clean charts - BOS/CHoCH arrows on chart (▲ green = bullish, ▼ red = bearish) - Compact HUD with trend, last signal, active OBs, legend, and debug reasons Usage: - Define your HTF (e.g. 1h) and trade entries on the LTF (e.g. 15m). - Wait for a BOS in HTF direction, then target the projected order block. - Stop Loss just beyond the OB, Take Profit at next opposite OB or using a fixed RRR. Note: This is a debugging/educational version to understand order block creation logic. For live trading, consider using the standard Whale Breaker.
Pine Script® 인디케이터
Kammi07의
Profitsmaxx Constructor ProfitsMaxx Constructor is a custom-built indicator designed for traders who want a strategy tailored specifically to their preferred asset and timeframe. Unlike general-purpose tools, each version of ProfitsMaxx Constructor is uniquely optimized for one trading pair — such as ADAUSDT — and fine-tuned to deliver the most accurate buy and sell signals based on that market’s unique behavior and volatility. Our team analyzes the asset’s historical data, price action, and momentum patterns to construct a personalized indicator that adapts perfectly to its trading rhythm. The result is a clean, precise signal system built to enhance timing, confidence, and profitability. Each ProfitsMaxx Constructor indicator is exclusive to the client and created on request, ensuring a truly custom trading experience that aligns with your goals and style. 👉 Want your own version? Visit www.profitsmaxx.com and request a ProfitsMaxx Constructor indicator customized for your chosen coin and timeframe.
Pine Script® 인디케이터
k0naxandronovs의
Candlestick Patterns v1.0🔍 Overview Candlestick Patterns v1.0 automatically identifies popular bullish and bearish candlestick formations directly on your chart. It highlights potential reversal and continuation signals using color-coded visual markers — so traders can quickly spot opportunities without manually scanning candles. This tool is designed for traders who rely on price action, pattern confirmation, or trend reversal analysis. ⚙️ Features Detects major patterns: Doji, Dragonfly Doji, Gravestone Doji Morning Star and Evening Star Hammer and Inverted Hammer Bullish & Bearish Engulfing Shooting Star and Hanging Man Customizable bullish/bearish colors Toggle each pattern on or off Lightweight and compatible with all timeframes and instruments 🧠 How to Use 1. Add to chart — open the indicator and click Add to chart. 2. Choose patterns — open Settings → Inputs and select which patterns to display. 3. Interpret signals: 🟢 Bullish patterns appear below candles (possible buy/reversal areas). 🔴 Bearish patterns appear above candles (possible sell/reversal areas). 4.Use alongside other tools like RSI, Moving Averages, or Volume for confirmation. 💡 Tips Look for Hammers or Bullish Engulfing at support in a downtrend → strong buy signals. Look for Shooting Stars or Bearish Engulfing at resistance in an uptrend → potential short setups. Avoid using on extremely low timeframes unless combined with filters (trend/RSI/volume). 👨‍💻 Author Created by @hjvasoya © 2025 — Published under the Mozilla Public License 2.0
Pine Script® 인디케이터
hjvasoya의
VWAP Deviation Oscillator [BackQuant]VWAP Deviation Oscillator Introduction The VWAP Deviation Oscillator turns VWAP context into a clean, tradeable oscillator that works across assets and sessions. It adapts to your workflow with four VWAP regimes plus two rolling modes, and three deviation metrics: Percent, Absolute, and Z-Score. Colored zones, optional standard deviation rails, and flexible plot styles make it fast to read for both trend following and mean reversion. What it does This tool measures how far price is from a chosen VWAP and expresses that gap as an oscillator. You can view the deviation as raw price units, percent, or standardized Z-Score. The plot can be a histogram or a line with optional fills and sigma bands, so you can quickly spot polarity shifts, overbought and oversold conditions, and strength of extension. VWAP modes track a session VWAP that resets (4H, Daily, Weekly) or a rolling VWAP that updates continuously over a fixed number of bars or days. Deviation modes let you choose the lens: Percent, Absolute, or Z-Score. Each highlights different aspects of stretch and mean pressure. Visual encoding uses a 10-zone color palette to grade the magnitude of deviation on both sides of zero. Volatility guards compute mode-specific sigma so thresholds are stable even when volatility compresses. Why this works VWAP is a high signal anchor used by institutions to gauge fair participation. Deviations around VWAP cluster in regimes: mild oscillations within a band, decisive pushes that signal imbalance, and standardized extremes that often precede either continuation or snapback. Expressing that distance as a single time series adds clarity: bias is the oscillator’s sign, risk context is its magnitude, and regime is the way it behaves around sigma lines. How to use it Trend following Favor the side of the zero line. Bullish when the oscillator is above zero and making higher swing highs. Bearish when below zero and making lower swing lows. Use +1 sigma and +2 sigma in your mode as strength tiers. Pullbacks that hold above zero in uptrends, or below zero in downtrends, are often continuation entries. Mean reversion Fade stretched readings when structure supports it. Look for tests of +2 sigma to +3 sigma that fail to progress and roll back toward zero, or the mirror on the downside. Z-Score mode is best when you want standardized gates across assets. Percent mode is intuitive for intraday scalps where a given percent stretch tends to mean revert. Session playbook Use Daily or Weekly VWAP for intraday or swing context. Rolling modes help when the asset lacks clean session boundaries or when you want a continuous anchor that adapts to liquidity shifts. Key settings VWAP computation VWAP Mode = 4 Hours, Daily, Weekly, Rolling (Bars), Rolling (Days). Session modes reset the VWAP when a new session begins. Rolling modes compute VWAP over a fixed trailing window. Rolling (Lookback: Bars) controls the trailing bar count when using Rolling (Bars). Rolling (Lookback: Days) converts days to bars at runtime and uses that trailing span. Use Close instead of HLC3 switches the price reference. HLC3 is smoother. Close makes the anchor track settlement more tightly. Deviation measurement Deviation Mode Percent : 100 * (Price / VWAP - 1). Good for uniform scaling across instruments. Absolute : Price - VWAP. Good when price units themselves matter. Z-Score : Standardizes the absolute residual by its own mean and standard deviation over Z/Std Window . Ideal for cross-asset comparability and regime studies. Z/Std Window sets the mean and standard deviation window for Z-Score mode. Volatility controls Percent Mode Volatility Lookback estimates sigma for percent deviations. Absolute Mode Volatility Lookback estimates sigma for absolute deviations. Minimum Sigma Guard (pct pts) prevents the percent sigma from collapsing to near zero in extremely quiet markets. Visualization Plot Type = Histogram or Line. Histogram emphasizes impulse and polarity changes. Line emphasizes trend waves and divergences. Positive Color / Negative Color define the palette for line mode. Histogram uses a 10-bucket gradient automatically. Show Standard Deviations plots symmetric rails at ±1, ±2, ±3 sigma in the current mode’s units. Fill Line Oscillator and Fill Opacity add a soft bias band around zero for line mode. Line Width affects both the oscillator and the sigma rails. Reading the zones The oscillator’s color and height map deviation to nine graded buckets on each side of zero, with deeper greens above and deeper reds below. In Percent and Absolute modes, those buckets are scaled by their mode-specific sigma. In Z-Score mode the bucket edges are fixed at 0.5, 1.0, 2.0, and 2.8. 0 to +1 sigma weak positive bias, usually rotational. +1 to +2 sigma constructive impulse. Pullbacks that hold above zero often continue. +2 to +3 sigma strong expansion. Watch for either trend continuation or exhaustion tells. Beyond +3 sigma statistical extreme. Requires structure to avoid fading too soon. Mirror logic applies on the negative side. Suggested workflows Trend continuation checklist Pick a session VWAP that matches your timeframe, for example Daily for intraday or Weekly for position trades. Wait for the oscillator to hold the correct side of zero and for a sequence of higher swing lows in the oscillator (uptrend) or lower swing highs (downtrend). Buy pullbacks that stabilize between zero and +1 sigma in an uptrend. Sell rallies that stabilize between zero and -1 sigma in a downtrend. Use the next sigma band or a prior price swing as your target reference. Mean reversion checklist Switch to Z-Score mode for standardized thresholds. Identify tests of ±2 sigma to ±3 sigma that fail to extend while price meets support or resistance. Enter on a polarity change through the prior histogram bar or a small hook in line mode. Fade back to zero or to the opposite inner band, then reassess. Notes on the three modes Percent is easy to reason about when you care about proportional stretch. It is well suited to intraday and multi-asset dashboards. Absolute tracks cash distance from VWAP. This is useful when instruments have tight ticks and you plan risk in price units. Z-Score standardizes the residual and is best for quant studies, cross-asset comparisons, and threshold research that must be scale invariant. What the alerts can tell you Polarity changes at zero can mark the start or end of a leg. Crosses of ±1 sigma identify overbought or oversold in the current mode’s units. Zone changes signal an upgrade or downgrade in deviation strength. Troubleshooting and edge cases If your instrument has long flat periods, keep Minimum Sigma Guard above zero in Percent mode so the rails do not vanish. In Rolling modes, very short windows will respond quickly but can whip around. Session modes smooth this by resetting at well known boundaries. If Z-Score looks erratic, increase Z/Std Window to stabilize the estimate of mean and sigma for the residual. Final thoughts VWAP is the anchor. The deviation oscillator is the narrative. By separating bias, magnitude, and regime into a simple stream you can execute faster and review cleaner. Pick the VWAP mode that matches your horizon, choose the deviation lens that matches your risk framework, and let the color graded zones guide your decisions.
Pine Script® 인디케이터
BackQuant의
TTM Squeeze Screener [Pineify]TTM Squeeze Screener for Multiple Crypto Assets and Timeframes This advanced TradingView Pine script, TTM Squeeze Screener, helps traders scan multiple crypto symbols and timeframes simultaneously, unlocking new dimensions in momentum and volatility analysis. Key Features Screen up to 8 crypto symbols across 4 different timeframes in one pane TTM Squeeze indicator detects volatility contraction and expansion (“squeeze”) phases Momentum filter reveals potential breakout direction and strength Visual screener table for intuitive multi-asset monitoring Fully customizable for symbols and timeframes How It Works The heart of this screener is the TTM Squeeze algorithm—a hybrid volatility and momentum indicator leveraging Bollinger Bands, Keltner Channels, and linear momentum analysis. The script checks whether Bollinger Bands are “squeezed” inside Keltner Channels, flagging periods of low volatility primed for expansion. Once a squeeze is released, the included momentum calculation suggests the likely breakout direction. For each selected symbol and timeframe, the screener runs the TTM Squeeze logic, outputs “SQUEEZE” or “NO SQZ”, and tags momentum values. A table layout organizes the results, allowing rapid pattern recognition across symbols. Trading Ideas and Insights Spot multi-symbol volatility clusters—ideal for finding synchronized market moves Assess breakout potential and direction before entering trades Scalping and swing trading decisions are enhanced by cross-timeframe momentum filtering Portfolio managers can quickly identify which assets are about to move How Multiple Indicators Work Together This screener unites three essential concepts: Bollinger Bands : Measure volatility using standard deviation of price Keltner Channels : Define expected price range based on average true range (ATR) Momentum : Linear regression calculation to evaluate the direction and intensity after a squeeze By combining these, the indicator not only signals when volatility compresses and releases, but also adds directional context—filtering false signals and helping traders time entries and exits more precisely. Unique Aspects Multi-symbol, multi-timeframe architecture—optimized for crypto traders and market scanners Advanced table visualization—see all signals at a glance, minimizing cognitive overload Modular calculation functions—easy to adapt and extend for other asset classes or strategies Real-time, low-latency screening—built for actionable alerts on fast-moving markets How to Use Add the script to a TradingView chart (works on custom layouts) Select up to 8 symbols and 4 timeframes using input fields (defaults to BTCUSD, ETHUSD, etc.) Monitor the screener table; “SQUEEZE” highlights assets in potential breakout phase Use momentum values to judge if the squeeze is likely bullish or bearish Combine screener insights with manual chart analysis for optimal results Customization Symbols: Easily set any ticker for deep market scanning Timeframes: Adjust to match your trading horizon (scalping, swing, long-term) Indicator parameters: Refine Bollinger/Keltner/Momentum settings for sensitivity Visuals: Personalize table layout, color codes, and formatting for clarity Conclusion In summary, the TTM Squeeze Screener is a robust, original TradingView indicator designed for crypto traders who demand a sophisticated multi-symbol, multi-timeframe edge. Its combination of volatility and momentum analytics makes it ideal for catching explosive breakouts, managing risk, and scanning the market efficiently. Whether you’re a scalper or swing trader, this screener provides the insights needed to stay ahead of the curve.
Pine Script® 인디케이터
Pineify의
3
12/21 EMA STRAT - [RZ]12/21 EMA Strategy with Performance Analytics 👁️ - OVERVIEW This indicator implements a simple yet effective exponential moving average (EMA) crossover strategy that compares a 12-period EMA against a 21-period EMA. The system generates long signals when the 12 EMA is positioned above the 21 EMA, and moves to cash when the 12 EMA falls below the 21 EMA. 🧠 - STRATEGY LOGIC Signal Generation: Long Position: Activated when 12 EMA > 21 EMA Cash Position: Activated when 12 EMA < 21 EMA Technical Implementation: Uses perpetual condition checks instead of crossover/crossunder functions to prevent signal misgeneration and ensure reliability Implements barstate.isconfirmed validation to eliminate repainting issues and ensure all signals are confirmed on closed bars Provides clean, reliable signals suitable for both backtesting and live trading ⚙️ - FEATURES The indicator includes a comprehensive table displaying real-time performance metrics comparing the strategy against a buy-and-hold approach: Sharpe Ratio: Risk-adjusted return measurement Sortino Ratio: Downside risk-adjusted return measurement Omega Ratio: Probability-weighted ratio of gains versus losses Maximum Drawdown %: Largest peak-to-trough decline Visual Components Equity Curves: Plots both strategy equity and buy-and-hold equity for visual comparison Status Table: Real-time display of current position (Long/Cash) and performance metrics Clean Chart Interface: Easy-to-read visualization of strategy performance Alert System Long signal triggers Cash signal triggers 📝 - How to Use Add the indicator to your chart Review the performance metrics table to compare strategy vs. buy-and-hold Monitor the equity curves to visualize strategy performance Set up alerts for long and cash signals if desired Use the current position indicator to track strategy status 📊 - Multi-Timeframe Compatibility This indicator works across multiple timeframes, however, performance characteristics vary significantly depending on the timeframe selected: Different timeframes will produce different results Strategy performance may be optimal on certain timeframes and underperform on others DYOR (Do Your Own Research): Users are strongly encouraged to backtest the strategy on their preferred timeframes and market conditions before use Test extensively with historical data to understand the strategy's behavior in your specific use case ETH SOL ⚠️ - DISCLAIMER This indicator is provided for educational and informational purposes only. It is NOT financial advice, investment advice, or a recommendation to buy or sell any security or financial instrument. Past performance does not guarantee future results Trading involves substantial risk of loss and is not suitable for all investors You should carefully consider your financial situation and risk tolerance before making any trading decisions Always conduct your own research and consult with a qualified financial advisor before making investment decisions The creator of this indicator assumes no responsibility for any financial losses incurred through the use of this tool Use this indicator at your own risk
Pine Script® 인디케이터
roronoa_zoro_gfunk의
Sessions [Trade Tribe HQ]Color-coded session ranges with ADR% labels to help you trade smarter, not harder. This tool marks New York, London, Tokyo, and Sydney sessions, showing their ranges, highs/lows, VWAPs, and ADR%. 🔹 Key Features Colored session boxes (NY, London, Tokyo, Sydney) Session highs & lows, VWAP, and trendlines Dashboard showing active sessions, volume, and %ADR ADR% labels at session close 🔹 How It Helps Spot session traps, moves, and reversals faster Manage expectations using ADR% (no chasing over-extended moves) Identify overlap zones (London → NY) for volatility spikes Simplify cycle tracking across global markets Market Sessions Marker—making it easy to see where the energy has been spent and where opportunity is building next. Created with ❤️ by TraderChick – part of the Trade Tribe HQ community. If you found this tool useful, check out my profile for more strategies, classes, and resources.
Pine Script® 인디케이터
EricaLorrai의
Seasonal Pattern DecoderSeasonal Pattern Decoder The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance. How It Works The indicator fetches historical monthly data for any symbol and calculates the percentage return for each month over a specified number of years. It then organizes this data into a comprehensive table, providing a clear, year-by-year and month-by-month breakdown of performance. Key Features Historical Performance Table: Displays monthly returns for up to a user-defined number of years, making it easy to compare performance across different periods. Color-Coded Heatmap: Each cell is colored based on the performance of the month. Strong positive returns are shaded in green, while strong negative returns are shaded in red, allowing for immediate visual analysis of monthly strength or weakness. Annual Summary: A "Σ" column shows the total percentage return for each full calendar year. AVG Row: Calculates and displays the average return for each month across all the years shown in the table. WR Row: Shows the "Win Rate" for each month, which is the percentage of time that month had a positive return. This is crucial for identifying high-probability seasonal trends. How to Use Add the "Seasonal Pattern Decoder" indicator to your chart. Note that it works best on Daily, Weekly, or Monthly timeframes. A warning message will be displayed on intraday charts. In the indicator settings, adjust the "Lookback Period" to control how many years of historical data you want to analyze. Use the "Show Years Descending" option to sort the table from the most recent year to the oldest. The "Heat Range" setting allows you to adjust the sensitivity of the color-coding to fit the volatility of the asset you are analyzing. This tool is ideal for confirming trading biases, developing seasonal strategies, or simply gaining a deeper understanding of an asset's typical behavior throughout the year. ## Disclaimer This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
Pine Script® 인디케이터
dchunt-stack의