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Kozmik Belirme v1.3: Ontolojik Bulut (Mizan Refined)### 🌌 Cosmic Manifestation: The Ontological Cloud (Psi_U v1.3) **"The market is not a random walk; it is a manifestation of collective consciousness bending spacetime."** This indicator, part of the **Mizan Refined** architecture, moves beyond traditional technical analysis. It treats price action as a physical event subject to **Quantum Mechanics** and **General Relativity**. Instead of simple moving averages, it visualizes the **Probabilistic Cloud** of the asset's future path. --- ### 🧠 The Mathematical Core (How It Works) The script operates on three proprietary engines designed by Murat Kavak: #### 1. The Psi_U Field (Market Consciousness) Calculates the "Intent" of the market by fusing Momentum, Volatility Compression, and Money Flow. * **High Psi:** The market has "Crystallized" (Decided on a direction). * **Low Psi:** The market is in "Superposition" (Chaos/Uncertainty). #### 2. Gravitational Engine ( CAPITALCOM:G_M $) Based on Einstein's curvature of spacetime: * **Mass:** Calculated via Volume intensity relative to price range. * **Spacetime:** Represented by the VWAP anchor. * **Result:** The indicator calculates a gravitational force ( CAPITALCOM:G_M $) that pulls the price. The stronger the gravity, the brighter the cloud colors becomes (Dynamic Gradients). #### 3. Heisenberg Cloud Geometry The width of the cloud is not static; it obeys the **Uncertainty Principle**. * If Market Consciousness (Psi_U) drops, the cloud expands (Entropy increases), showing high risk. * If Consciousness rises, the cloud narrows, revealing a precise path. --- ### 🎨 Visual Language * **Turquoise/Green Glow:** Strong Bullish Gravity (Future projection). * **Red/Maroon Glow:** Strong Bearish Gravity (Heavy resistance). * **The Cloud:** Represents the "Event Horizon" where price is most likely to manifest. ### ⚠️ Disclaimer This tool is an experimental model of market physics and ontology. It is intended for analytical visualization of trends and volatility, not as financial advice. Trading involves significant risk. --- **ACCESS:** This is a proprietary **Invite-Only** script. The source code is closed to protect the underlying algorithm. To request access, please contact the author via private message.
Pine Script®指标
由muratkavak02提供
UK Public OnesideRSI + Stochastic V1 (Moderate) Strategy This strategy combines RSI, Stochastic Oscillator, and a 50 EMA trend filter to identify moderate-risk trading opportunities in trending markets. How it works: Long entries occur when RSI and Stochastic are in oversold conditions while price is above the 50 EMA. Short entries occur when RSI and Stochastic are in overbought conditions while price is below the 50 EMA. Trades are confirmed on the previous candle, avoiding premature entries and exits. Risk management is handled using fixed percentage stop-loss with configurable risk-to-reward targets. Optional RSI-based exits close positions early during overbought or oversold conditions. Key Features: Trend-filtered entries using EMA 50 Non-repainting logic (confirmed candle signals) Configurable stop-loss and reward ratio Works well for scalping and intraday trading Suitable for crypto, forex, and indices Recommended Timeframes: 5m, 15m, 30m Note: This strategy is designed for educational and research purposes. Always forward-test and apply proper risk management before using in live trading.
Pine Script®策略
由ONESIDEZZ提供
1
Follow the "Smart Money" to Capture Altcoin Super-Trends這不是一套普通的趨勢策略。大多數山寨幣 (Altcoins) 的突破策略之所以失效，是因為它們忽略了市場的真實驅動力——比特幣的機構資金流向。 ITAS (Institutional Triggered Alpha System) 是一套結合了「跨市場分析」與「波動率自適應」的量化系統。 核心運作邏輯： 機構資金濾網 (Institutional Filter)： 我們監控比特幣 (BTC) 在頂級合規交易所（如 Coinbase）與全球流動性池之間的資金溢價 (Premium)。這是一個領先指標，用來判斷華爾街機構是在「吸籌」還是「派發」。 精準狙擊 (Precision Trigger)： 只有當監測到**「機構資金正在買入 BTC」**的時刻，系統才會解鎖山寨幣的交易權限。 拒絕假突破 (False Breakout Rejection)： 透過這個濾網，我們能過濾掉市場中 80% 由散戶情緒引起的「假突破」。如果比特幣沒有機構支撐，就算山寨幣漲得再兇，本策略也會判定為雜訊而拒絕進場。 波動率適配 (Volatility Adaptation)： 針對高波動資產 (High Beta Assets) 優化的動態通道，確保在劇烈洗盤中能拿住單子，吃到完整的波段利潤。 This is not an ordinary trend-following strategy. Most Altcoin breakout strategies fail because they ignore the true driver of the market—Institutional Money Flow in Bitcoin. ITAS (Institutional Triggered Alpha System) is a quantitative system that combines "Inter-market Analysis" with "Volatility Adaptation." How It Works: Institutional Filter: We monitor the Premium Gap of Bitcoin (BTC) between top-tier regulated exchanges (like Coinbase) and global liquidity pools. This serves as a leading indicator to determine whether Wall Street institutions are "Accumulating" or "Distributing." Precision Trigger: The system only unlocks trading permissions for Altcoins when it detects "Institutional Buying in BTC." False Breakout Rejection: Through this filter, we effectively filter out 80% of "False Breakouts" driven solely by retail sentiment. If there is no institutional support behind Bitcoin, the strategy will identify any Altcoin pump as noise and refuse to enter. Volatility Adaptation: Features a dynamic channel optimized for High Beta Assets, ensuring positions are held through aggressive shakeouts to capture the full trend. 免責聲明 (Disclaimer) 補充說明： 以上策略績效源自歷史數據回測，不代表對未來獲利的保證。加密貨幣市場風險極高，本策略僅供量化研究與邏輯分享，使用者應自行評估風險並自負盈虧，本人不承擔任何交易損失。 Disclaimer: The performance above is based on historical backtesting and does not guarantee future results. Cryptocurrency trading involves high risk. This strategy is shared for quantitative research and educational purposes only. Users are solely responsible for their own risk assessment and PnL. I assume no liability for any trading losses incurred.
Pine Script®策略
由Mark-Li0203提供
Coinbase Institutional Flow Alpha1. 核心概念 (The Core Concept) 這不是一套傳統看圖形（如 RSI 或 MACD）的技術指標策略，而是一套基於**「籌碼面」與「市場微結構」的量化系統。 比特幣市場存在兩個平行世界：美國機構投資者（主要使用 Coinbase 美元對）與全球散戶**（主要使用 Binance USDT 對）。這套策略的核心邏輯在於捕捉這兩者之間的**「定價效率落差」**。 This is not a traditional technical analysis strategy based on lagging indicators like RSI or MACD. Instead, it is a quantitative system based on Order Flow and Market Microstructure. The Bitcoin market consists of two parallel worlds: US Institutional Investors (trading on Coinbase USD pairs) and Global Retail Investors (trading on Binance USDT pairs). The core logic of this strategy is to capture the pricing inefficiency gap between these two liquidity pools. 2. 運作原理 (How It Works) Smart Money 追蹤： 當機構開始大舉買入時，Coinbase 的價格往往會比 Binance 出現短暫且顯著的「溢價（Premium）」。這通常是行情的領先指標。 統計套利模型： 我們開發了一套獨家的演算法，24 小時監控這個溢價缺口的變化。只有當溢價偏離程度達到特定的**統計學異常值（Statistical Anomaly）**時，系統才會判定為「機構進場信號」並執行交易。 過濾雜訊： 我們只抓取真正由資金推動的大趨勢，過濾掉市場上 80% 的無效波動。 Smart Money Tracking: When institutions accumulate heavily, the price on Coinbase often trades at a significant "Premium" compared to Binance. This serves as a powerful leading indicator for price trends. Statistical Arbitrage Model: We utilize a proprietary algorithm that monitors this premium gap 24/7. Only when the gap deviation hits a specific Statistical Anomaly, does the system identify it as an "Institutional Entry Signal" and execute the trade. Noise Filtering: The strategy is designed to capture significant trends driven by real capital flow, effectively filtering out 80% of random market noise. 免責聲明 (Disclaimer) 補充說明： 以上策略不保證獲利，僅提供量化交易的想法與實驗數據參考。請注意，市場沒有聖杯，交易結果盈虧自負，本人不承擔任何因使用此策略而產生的資金損失。 Disclaimer: The above strategy does not guarantee profits and is provided solely for sharing quantitative ideas and experimental data. Please note that there is no "Holy Grail" in trading. You are solely responsible for your own PnL, and I assume no liability for any financial losses incurred.
Pine Script®策略
由Mark-Li0203提供
Wisenode QuantThis indicator uses a combination of DMI, ADX and ATR% to give quick easy visual representation of trend strength, trend direction and price action volatility. This helps to quickly visually identify market environment for trade execution using quantifiable data. Direction Red LED = Bearish Market conditions Green LED = Bullish Market conditions Trend (Strength) Red = 0-20 on the ADX (Ranging) Green = 20-30 on the ADX (Emerging) Green = 30-50 on the ADX (Momentum) Volatility Uses ATR% on a dynamic scale from top to bottom is low to high intensity. Colour will transition from green to red as the bar moves higher. Trade Execution Integration of a custom Murray math values to build entry, stop loss protection and take profit zones. This is still a working progress to fine tune default settings but can be used for market environment identification for any sort of discretionary trading
Pine Script®指标
由DeNomics提供
Master Moving Averages PlusThe Master Moving Averages indicator is a full-session, moving-average–driven market structure engine that combines 1) Heiken Ashi Candlesticks, 2)Exponential Moving Averages, 3)Session Backgrounds, 4)VWAP, 5)EMA Streams, 6)EMA Crossing Labels, 7)All-Inside EMA Labels, 8)Price Control Logic (Bundles, Momentum, Reversals), and 9)Heavy EMA anchors into a single chart framework. The indicator provides access to toggle these features on and off in the settings gear icon to the right of the indicator name in the screen panel. 1)Because this chart uses Heikin Ashi candlesticks, the behavior is slightly different from standard candles. Heiken Ashi candles are smoothed, meaning each candle is influenced by the previous one. This reduces noise and makes trends easier to see. In practice, long sequences of same-color candles with small or no opposite wicks indicate strong, sustained movement, while smaller bodies or the appearance of opposite wicks signal slowing or transition. Opposite wicks are wicks that appear against the current direction of the move. In an upward move, an opposite wick is a wick on top of the candle. It shows that upward progress is no longer clean and momentum is starting to slow. In a downward move, an opposite wick is a wick on the bottom of the candle. It shows that downward progress is slowing. With Heiken Ashi candles, opposite wicks are especially important because they do not appear easily. When one shows up, it often marks loss of trend quality, a pause, or the beginning of a transition rather than a random fluctuation. Ashi wicks still matter, but they emphasize trend quality rather than single-bar reactions, making them especially useful for staying in moves longer and avoiding premature exits caused by random price spikes. Candlesticks are a visual record of price behavior over one bar, showing where price opened, traded, and closed. The body shows the meaningful part of the move—the distance between open and close—and tells whether price made progress during that bar. Large bodies indicate clean movement and follow-through, while small bodies indicate slowing or uncertainty. The wicks show where price traveled but did not stay. Wicks in the direction of the move are normal and usually appear during healthy trends, while wicks against the move signal slowing, hesitation, or loss of momentum. A candle with a large body and small wicks reflects strong continuation, whereas long wicks with a small body suggest pause, balance, or transition. Candlesticks are not signals by themselves; they are read bar-to-bar to judge whether a move is continuing, slowing, or stalling, helping decide whether to stay in a trade, manage risk, or wait for clearer structure. For example, suppose price is moving higher and already in a long trade. Several candles print with solid bodies and small lower wicks, showing steady upward progress. This is healthy continuation, so staying in the trade makes sense. Then a candle prints with a small body and a long upper wick. Price pushed higher during the bar but could not hold those levels by the close. That candle does not mean reverse now, but it does mean momentum is slowing. The practical response is to stay in but be alert—do not expect the same speed of continuation. If the next candle prints another upper wick or a small body, the move is likely stalling. If instead the next candle closes strong with a large body, the trend has resumed. 2)An Exponential Moving Average (EMA) is a moving average that tracks price but gives more weight to the most recent bars. In plain terms: it reacts faster to what price is doing right now than a simple average (SMA) does. Here’s what that means in practice: Every EMA is an average of price over a set number of bars The "exponential" part means the newest candles matter more than older ones. Because of that weighting, an EMA turns sooner, crosses sooner, and shows shifts in directional control sooner. On the chart specifically: Short EMAs (like 4, 9, 16) respond quickly → they show immediate pressure. Mid EMAs (24, 36, 48) show follow-through or failure. Long EMAs (72 and up) change slowly → they define structure and context, often showing the explosive nature of building pressure signaling entries. 3)Session Background gives context to which part of the trading day the current bar or candlestick belongs to. The script separates the day into: Pre-Session, After-Hours and Regular Trading Hours (RTH). Price acts differently depending on the session. Session context is shown on the chart by 1️⃣ Background shading. The lighter background → Pre-session or Pre-Market (PM) and After-hours (AH). The darker background → RTH (Regular Trading Hours). One glance tells you where you are in the day. 2️⃣ Different sessions build different levels of highs and lows: Pre-Session High and Low is built only during After Hours (AH) and pre-market hours (PM). Session High and Low is built only during RTH. Previous Day Session High and Low is carried forward into today. These provide perspective during the session. Sometimes price respects pre-session highs and lows and even previous day session highs and lows— especially immediately following opening in the initial move and retracement. Session context just means knowing whether a particular candlestick bar was or is pre-market, regular hours, or after-hours — because the rules change. It's just a check on where you are. 4)VWAP stands for Volume Weighted Average Price. It is the session’s true average price — weighted by where the volume actually traded. Not yesterday, not overnight, only during Regular Trading Hours. Every share traded during Reg Trading Hours (RTH) pulls VWAP toward it. The VWAP on this chart resets at the RTH open. VWAP uses the average price of each bar, then lets the bars with real volume count more. The calculation is High+ Low+ Close/3. High, Low, Close are added together and averaged. So instead of picking just the close or just the high, it uses the middle of where price actually traded during that bar. The equation looks like this: hlc3 × volume. It only updates during the day session. Overnight and pre-market do not contaminate it. So VWAP belongs to today’s fight only. On the chart it looks like a thick orange line outlined in white. There is a right-side label that reads: VWAP | Bullish / Bearish / Neutral. In practice VWAP is a 1️⃣ Fair price reference that shows where the bulk of business has been done because if Price is above it → trading is happening at higher-than-average prices. If Price is below it → trading is happening at lower-than-average prices. Fair price is the price level where the most of the trading has actually occurred during the session. It's not a prediction. It's not a target. It's not a value judgment. It's just where buyers and sellers have been most active. 2️⃣ VWAP slope is smoothed and classified: Rising → Bullish, Falling → Bearish, Flat → Neutral. This doesn’t fire signals — it confirms pressure. VWAP shows where today’s real money has traded and whether that price is drifting up, down, or going nowhere. The right-side VWAP label summarizes everything in one place: trend state, price distance from VWAP (percentage), and slope strength with direction arrows, allowing quick assessment without clutter. Practically, VWAP is used as a fair-value anchor and intraday control reference—price holding above a rising VWAP supports continuation, price below a falling VWAP supports downside pressure, and flat VWAP conditions warn of rotation or chop rather than trend. 5)EMA (Exponential Moving Average) Streams in this script are a visual state. They are the shaded bands between specific EMA pairs that show: direction, pressure, and alignment. The stream shows the relationship of the pairs. In the script the streams are: 4–9, 9–16, 16–24, 24–36 EMA'S. Each one can be turned on or off. On the chart they look like two EMAs with soft shaded fill between them and color changes based on up or down movement. The stream mechanically is telling 1️⃣ Direction. If the pair is above price they push down, if below price they push up. Each stream is made of two EMAs: One reacts faster, one reacts slower, but they’re doing the same thing. For Example a 4 EMA takes the last 4 candlesticks and averages them; likewise a 9 EMA takes the last 9 candlesticks and averages them yielding two lines, one that moves quicker and one that moves slower. When a slower EMA crosses above a faster EMA it drives price down. When a slower EMA crosses below a faster EMA it drives price up. 2️⃣ Pressure: EMA streams show pressure leaning on price. Wide stream → pressure is expanding. Tight stream → pressure is compressing. Compression matters because it precedes movement. 6)EMA Crossing Labels (Pivots, EMA9, EMA16, EMA24) mark an actual EMA crossover event. The Crossing Labels are white labels attached below or above the candlestick showing price direction. They print only when one EMA physically crosses the price control line. The price control line is a default on the chart and is constant. The priceControlLine = (open + close) / 2. The crossing is confirmed on bar close. If, for example, EMA-16 rolls over the priceControlLine and crosses downward, the label fires indicating that price has stalled or shifted, buyers have lost control, sellers are in control, and the market is trending short. If EMA-24 and EMA-36 follow, pressure is stacking, multiple timeframes confirm, pullbacks become weaker, and price is more likely to continue in the same direction. 7)An Inside EMA label can represent two very different conditions, and context matters. When shorter ranges (such as 9–36, 9-48, or 9–72) compress inside a candle during sideways or low-energy price action, it often reflects chop or rotation, and no immediate expansion is required. In contrast, when deeper ranges (9–106, 9–139, 9–192) collapse inside a single candle—especially near the open or during active sessions—it usually occurs because price is moving faster than the EMAs can respond, signaling elevated energy and the potential for rapid continuation or transition. Practically, Inside labels are conditional triggers: shallow compression can persist, while deep compression demands attention because resolution, when it comes, tends to be decisive. Example 1: Fast open, real urgency— The market opens and within the first few candles a 9–139 Inside label prints. Price has already moved aggressively, and all EMAs are trapped inside one candle body. In real terms, this means structure has been run over. The practical response is immediate attention: do not hesitate, do not wait for EMAs to fan out. Expect either a fast continuation (often followed quickly by a Bundle or Momentum label) or a sharp stall if momentum fails. Speed matters because the next decision point arrives quickly. Example 2: Mid-day chop, no urgency—Later in the session, price is rotating sideways and a 9–72 Inside label appears. Price has not traveled far, candles overlap, and no expansion follows. In this case, the label simply confirms compression without pressure. The correct action is no action—continue waiting. No urgency, no expectation of immediate resolution. Example 3: Transition point—After a trend, a 9–106 Inside prints as bodies shrink. Momentum is already slowing. Here the label marks a transition zone. The practical move is to stop expecting continuation and watch closely: a Momentum or Bundle label confirms continuation, while a Reversal label confirms control change. 8)Price Control Logic is determined by three things working together and the Bundle, Momentum, and Reversal labels are expressions of that control: 1️⃣ Price vs the Price Control Line: The Price Control Line is the midpoint of the candle body. When Price is above it → buyers are controlling closes. When Price is below it → sellers are controlling closes. 2️⃣ EMA Position Relative to Control: When EMAs cross the Price Control Line: EMA crosses up through control → momentum is shifting to buyers. EMA crosses down through control → momentum is shifting to sellers. That’s why labels fire only on those crosses. It marks real control shifts, not wicks. 3️⃣ EMA Stack & Compression: Tight EMA bundles inside the candle body means no one has control yet. EMAs expanding upward means buyers are gaining control. EMAs expanding downward means sellers are gaining control. This is pressure building vs pressure releasing. Bundle, Momentum, and Reversal labels are confirmation markers, not prediction signals. A Bundle label prints when a compressed EMA cluster (16/24/36/48) resolves back into price with real body momentum and EMA-16 already trending, signaling stored pressure releasing. A Momentum label prints only on sharp expansion, where the candle body is significantly larger than the prior bar, confirming acceleration in the existing direction. A Reversal label marks a true short-term control shift, where EMA-16 flips slope with a momentum candle, signaling buyers and sellers have swapped control—not a wick reaction. Because all labels require body dominance and EMA agreement, they often appear after movement begins, making them reliable tools for confirming pressure, continuation, or control change rather than early entry timing. Visually, each label reinforces direction at a glance. Bullish labels are green, placed below the candle, and use an upward-pointing shape to indicate rising pressure. Bearish labels are red, placed above the candle, and use a downward-pointing shape to indicate falling pressure. Labels sit just off the candle body so price remains clear, and their color, placement, and shape always align with the direction of control. 9) Heavy EMA anchors are the big EMAs. They act like fixed reference points while everything else whips around them. The heavy EMA anchors in this chart are EMA 768,1024, 1250, 1536, 2048, 2700, 3300, 4096. They are displayed only as right-side tags at their current price levels, not as plotted lines. These tags sit on the far right edge of the chart, aligned with the price scale, and are color-matched to their respective EMAs. Their purpose is to show where slow, heavy pressure exists without cluttering price action with lines. When these EMA tags are bundled together and price is trading inside that cluster, the market is compressed and choppy. When the tags separate and price holds above or below the group, structure is returning and directional movement becomes easier. Keeping the tags visible provides instant awareness of whether price is trapped or free, helping filter noise and align the rest of the indicator with the larger structure at all times.
Pine Script®指标
由goodmankurt1提供
Kairos Bands [v1.1]Overview The Kairos Bands Strategy is a highly modular trading system designed to identify high probability entry points based on volatility exhaustion and momentum shifts... It is built with a proprietary core algorithm that detects when price has extended too far from its mean, but it is wrapped in a Confluence Cloud that allows the user to filter these signals through nine different secondary indicators... This is not just a static strategy... It is a framework that allows you to build your own edge by toggling specific filters on and off to match current market conditions... 1... The Chameleon Feature (Trend or Reversal) One of the most powerful features of Kairos Bands is the Inverse Trades logic... Reversal Mode (Default): By default, the strategy looks for price exhaustion... It buys when the market is oversold and sells when the market is overbought... This is ideal for ranging markets or catching tops and bottoms... Trend Following Mode (Inversed): By checking the Inverse Trades box in the settings, the logic flips completely... A Buy signal becomes a Sell and vice versa... This transforms the strategy into a breakout or trend following system, entering trades in the direction of the momentum rather than against it... 2... The Confluence Cloud While the core trigger is based on proprietary volatility calculations, the user has full control over how strictly those trades are filtered... You can toggle any of the following 9 momentum filters independently for both Long and Short setups... RSI (Relative Strength Index) Stochastic Oscillator CCI (Commodity Channel Index) Williams %R MFI (Money Flow Index) CMO (Chande Momentum Oscillator) Fisher Transform Ultimate Oscillator ROC (Rate of Change) For example, you can require RSI and MFI to agree with the main signal for Longs, but only require Stochastic for Shorts... This allows for granular tuning... 3... Trend Bias & Time Management To further refine entries, the strategy includes: EMA Trend Filter: An optional dual EMA system (Fast vs Slow) that forces the strategy to only trade in the direction of the dominant trend... Precision Time Filtering: You can define exact start and end times (down to the minute) for entries... No Trade Zone (NTZ): A specific time window where the strategy is forbidden from holding positions... If a trade is open when the NTZ begins, it is immediately force closed to avoid volatility events or market closes... 4... Risk Management The strategy moves away from vague percentage based stops and uses precision point based targeting... Fixed Points: Set your Take Profit and Stop Loss in exact price points... Signal Skipping: An optional feature to cool down the strategy after a trade closes, forcing it to skip a set number of subsequent signals to avoid over trading... 5... Professional Analytics Dashboard The visual overlay provides a detailed Heads Up Display (HUD) containing institutional grade metrics... Strategy Grade: An automatic A through F grading system based on the Win Rate Differential (how much better the strategy performs compared to a breakeven coin flip)... Streak Analysis: Tracks the maximum and average consecutive wins and losses to help you understand the psychological drawdown risk... Rolling PnL: A secondary dashboard tracks your hypothetical Net PnL over the last 7 trading days and the last 12 months, giving you a clear view of short term and long term performance...
Pine Script®策略
由kingdomcitizendavid提供
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights. Method briefly explained (I can go deeper if any1 asks explicitly): Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value; Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms); Uses these intervals to calculate analogs of centralized & standardized moments; Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information. ... The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data. Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice: Moment-Based Adaptive Detection (MBAD) : Norm: L2 Time complexity: original O(n), successfully reduced to O(1) in online version Use case: default, general purpose Based on: method of moments (powers of residuals from mean) Thresholds architecture: centralized Quantile-Based Adaptive Detection (QBAD): Norm: L1 Time complexity: O(nlogn) Use case: either bad data Or process instability Based on: quantile moments (dyadic percentiles of residuals from median) Thresholds architecture: chained/recursive/sequential Probability-Based Adaptive Detection (PBAD): Norm: L0 Time complexity: O(n^2) Use case: both bad data And process instability Based on: probability moments (target probability masses of residuals from KDE mode) Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds) ... Examples of true use cases: ^^ an appropriate financial instrument to use PBAD ^^ and another one ... Additional details about how to use it: Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data) “Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data. HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values). In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics. Btw: This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways. In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max. see ya ∞
Pine Script®指标
由gorx1提供
1
Context Bundle | VWAP / EMA / Session HighLow (v6) 📌 0DTE Context Bundle (v6) **VWAP • EMA Cloud • Session High/Low (NY / London / Asia) The **0DTE Context Bundle** is a *decision-making overlay*, not a signal spam indicator. It’s designed to help traders clearly see **value, trend, and liquidity levels** across **New York, London, and Asia sessions** — all in one clean, customizable tool. Built for **NQ, ES, Gold, and FX pairs**, with a focus on **5–15-minute execution charts**. --- ## 🔹 What This Indicator Shows ### ✅ VWAP + ATR Bands * Session VWAP (fair value) * ATR-based extension bands (1x / 2x) * Helps identify **overextension, mean reversion zones, and trend pullbacks** ### ✅ EMA 9 / 21 Cloud * Visual trend and momentum filter * Custom colors + opacity * Identifies **trend continuation vs chop** ### ✅ Session High / Low Levels * **New York RTH** * **London** * **Asia (midnight-safe)** * Optional previous session highs/lows * Adjustable line styles, widths, colors, and extensions ### ✅ Anchored VWAP (Optional) * Reset by: * Daily * NY session start * London session start * Asia session start * Useful for tracking **session-specific value shifts** --- ## 🔹 How Traders Use It This indicator is meant to answer: * *Are we trading at value or extension?* * *Is the market trending or rotating?* * *Where is liquidity likely sitting right now?* Common use cases: * Trend pullbacks into VWAP or EMA cloud * Reversal setups at session highs/lows * Session breakout + retest confirmation * Overnight context for London and Asia sessions --- ## 🔹 Customization & Flexibility Every component can be toggled and styled: * Colors, widths, line styles * Cloud up/down colors + opacity * Session visibility and extensions * VWAP band multipliers and ATR length Members can adapt it to **their own style**, market, and timeframe. --- ## ⚠️ Disclaimer This indicator is provided for **educational and informational purposes only**. It does **not** provide financial advice or trade signals. Always manage risk and confirm entries with your own strategy.
Pine Script®指标
由TradeswithB提供
Ultimate MTF//@version=5 indicator("Ultimate MTF", shorttitle="Ultimate MTF", overlay=true) // ============== EMA 13 (Court Terme - Accélérateur) ============== ema13_enabled = input(true, title="Enable EMA 13", group="EMA 13") ema13_period = input.int(13, title="EMA 13 Period", minval=1, group="EMA 13") ema13_color = input(color.new(#FF6B35, 0), title="EMA 13 Color", group="EMA 13") // ============== EMA 21 (Court Terme - Signal) ============== ema21_enabled = input(true, title="Enable EMA 21", group="EMA 21") ema21_period = input.int(21, title="EMA 21 Period", minval=1, group="EMA 21") ema21_color = input(color.new(#004E89, 0), title="EMA 21 Color", group="EMA 21") // ============== SMA 50 (Moyen Terme - Zone de Vérité) ============== sma50_enabled = input(true, title="Enable SMA 50", group="SMA 50") sma50_period = input.int(50, title="SMA 50 Period", minval=1, group="SMA 50") sma50_color = input(color.new(#F7931E, 0), title="SMA 50 Color", group="SMA 50") // ============== SMA 200 (Long Terme - Juge de Paix) ============== sma200_enabled = input(true, title="Enable SMA 200", group="SMA 200") sma200_period = input.int(200, title="SMA 200 Period", minval=1, group="SMA 200") sma200_color = input(color.new(#43A047, 0), title="SMA 200 Color", group="SMA 200") // ============== FUNCTION TO CALCULATE MA ============== calcMA(period, maType, source) => switch maType "SMA" => ta.sma(source, period) "EMA" => ta.ema(source, period) => ta.ema(source, period) // ============== CALCULATE MOVING AVERAGES ============== ema13_value = ta.ema(close, ema13_period) ema21_value = ta.ema(close, ema21_period) sma50_value = ta.sma(close, sma50_period) sma200_value = ta.sma(close, sma200_period) // ============== PLOT MOVING AVERAGES ============== plot(ema13_enabled ? ema13_value : na, title="EMA 13", color=ema13_color, linewidth=2) plot(ema21_enabled ? ema21_value : na, title="EMA 21", color=ema21_color, linewidth=2) plot(sma50_enabled ? sma50_value : na, title="SMA 50", color=sma50_color, linewidth=2) plot(sma200_enabled ? sma200_value : na, title="SMA 200", color=sma200_color, linewidth=2)
Pine Script®指标
由Crypdem提供
MTF 5 Moving Averages//@version=5 indicator("Multi-Timeframe 5 Moving Averages", shorttitle="MTF MA x5", overlay=true) // ============== MOVING AVERAGE 1 ============== ma1_enabled = input(true, title="Enable MA1", group="Moving Average 1") ma1_period = input.int(9, title="MA1 Period", minval=1, group="Moving Average 1") ma1_type = input.string("EMA", title="MA1 Type", options= , group="Moving Average 1") ma1_color = input(color.new(#FF6B35, 0), title="MA1 Color", group="Moving Average 1") // ============== MOVING AVERAGE 2 ============== ma2_enabled = input(true, title="Enable MA2", group="Moving Average 2") ma2_period = input.int(20, title="MA2 Period", minval=1, group="Moving Average 2") ma2_type = input.string("EMA", title="MA2 Type", options= , group="Moving Average 2") ma2_color = input(color.new(#004E89, 0), title="MA2 Color", group="Moving Average 2") // ============== MOVING AVERAGE 3 ============== ma3_enabled = input(true, title="Enable MA3", group="Moving Average 3") ma3_period = input.int(50, title="MA3 Period", minval=1, group="Moving Average 3") ma3_type = input.string("SMA", title="MA3 Type", options= , group="Moving Average 3") ma3_color = input(color.new(#F7931E, 0), title="MA3 Color", group="Moving Average 3") // ============== MOVING AVERAGE 4 ============== ma4_enabled = input(true, title="Enable MA4", group="Moving Average 4") ma4_period = input.int(100, title="MA4 Period", minval=1, group="Moving Average 4") ma4_type = input.string("SMA", title="MA4 Type", options= , group="Moving Average 4") ma4_color = input(color.new(#1E88E5, 0), title="MA4 Color", group="Moving Average 4") // ============== MOVING AVERAGE 5 ============== ma5_enabled = input(true, title="Enable MA5", group="Moving Average 5") ma5_period = input.int(200, title="MA5 Period", minval=1, group="Moving Average 5") ma5_type = input.string("EMA", title="MA5 Type", options= , group="Moving Average 5") ma5_color = input(color.new(#43A047, 0), title="MA5 Color", group="Moving Average 5") // ============== FUNCTION TO CALCULATE MA ============== calcMA(period, maType, source) => switch maType "SMA" => ta.sma(source, period) "EMA" => ta.ema(source, period) "WMA" => ta.wma(source, period) => ta.sma(source, period) // ============== CALCULATE MOVING AVERAGES (CHART TIMEFRAME ONLY) ============== ma1_value = calcMA(ma1_period, ma1_type, close) ma2_value = calcMA(ma2_period, ma2_type, close) ma3_value = calcMA(ma3_period, ma3_type, close) ma4_value = calcMA(ma4_period, ma4_type, close) ma5_value = calcMA(ma5_period, ma5_type, close) // ============== PLOT MOVING AVERAGES ============== plot(ma1_enabled ? ma1_value : na, title="MA1", color=ma1_color, linewidth=2) plot(ma2_enabled ? ma2_value : na, title="MA2", color=ma2_color, linewidth=2) plot(ma3_enabled ? ma3_value : na, title="MA3", color=ma3_color, linewidth=2) plot(ma4_enabled ? ma4_value : na, title="MA4", color=ma4_color, linewidth=2) plot(ma5_enabled ? ma5_value : na, title="MA5", color=ma5_color, linewidth=2)
Pine Script®指标
由Crypdem提供
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently? Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns? Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor? Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz? 1. Problem Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else. 2. How It Works Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart. 3. What's It Good For? Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Pine Script®指标
由ExperiMentalist提供
"Clean Market Structure & Trend Confirmation" Clean Market Structure & Trend Confirmation is a high-probability Market Structure and Trend Confirmation indicator trading system designed specifically for SPY and QQQ. It combines trend structure, multi-timeframe confirmation, momentum gating, and market-state filtering to deliver clean, disciplined BUY and SELL signals — without noise, chop, or over-trading. This script is built for traders who want clarity first, execution second.
Pine Script®指标
由webemoon提供
3
VolatilityCone by ImpliedVolatility ProVolatilityCone by ImpliedVolatility Pro VolatilityCone by ImpliedVolatility Pro is a forward-looking volatility projection tool that visualizes expected price ranges based on implied volatility. It draws a volatility cone starting from a user-defined date and projects statistically expected price boundaries into the future using standard deviation theory. 🔍 What does this indicator do? This indicator calculates and plots price ranges that represent ±1, ±2, and ±3 standard deviations from a starting price, based on implied volatility. The result is a cone-shaped projection that shows where price is statistically likely to move over time. In addition, the indicator calculates a Z-Score, showing how far the current price deviates from the expected mean in volatility terms. 📐 Key Features → Forward projection based on implied volatility → Supports up to 3 standard deviation levels → Optional display of half standard deviation levels → Manually enter implied volatility or automatically fetch IV from another symbol (e.g. VIX) → Custom Start Date → The cone starts exactly at the selected date → Ideal for earnings, events, or cycle-based analysis → Displays the statistical mean price → Z-Score indicates how extreme the current price is relative to the cone 📊 How to Use Price inside the cone → Normal volatility behavior Price near ±1σ → Typical volatility range Price near ±2σ or ±3σ → Statistically stretched or extreme conditions Positive Z-Score → Price trading above the mean Negative Z-Score → Price trading below the mean This makes the indicator useful for: → Volatility analysis → Mean reversion strategies → Risk assessment → Event-based forecasting → Options-related analysis ⚙️ Notes & Disclaimer This indicator is not a prediction tool, but a statistical projection It assumes volatility follows a square-root-of-time model Best used as a context tool, not as a standalone trading signal
Pine Script®指标
由bronko791提供
1
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy. This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages. 1. Trend direction (EMA 200 – pink) The 200 EMA acts as the long-term trend filter. Price above the 200 EMA suggests a bullish market bias. Price below the 200 EMA suggests a bearish market bias. Many traders avoid taking trades against this higher-timeframe direction. 2. Momentum and trade bias (EMA 20 – blue) The 20 EMA reflects short-term momentum. When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries. In downtrends, the 20 EMA frequently acts as dynamic resistance. 3. Entry timing (EMA 8 – yellow) The 8 EMA is a fast reaction line used for precise timing. Crosses of the 8 EMA over the 20 EMA can signal momentum shifts. Strong trends often show price holding above (or below) the 8 EMA during impulse moves. 4. Confluence and trade filtering The indicator works best when the EMAs are aligned: Bullish alignment: EMA 8 > EMA 20 > EMA 200 Bearish alignment: EMA 8 < EMA 20 < EMA 200 Misaligned EMAs usually indicate consolidation or low-probability conditions. 5. Risk management context EMAs can act as dynamic support and resistance: Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon. Loss of EMA structure is a warning sign that the trend may be weakening. In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Pine Script®指标
由Knotty0807提供
AlgosPoint G&MPoint Breaking 2025 (MB&GB Breaking Point Pro) What It Does: A comprehensive TradingView indicator that combines multiple technical analysis tools to identify key market breakout points, support/resistance levels, and trading opportunities. It integrates Volume Profile analysis, AlphaTrend signals, and custom risk assessment metrics. Key Features: Volume Profile Analysis: Displays Point of Control (POC), Value Area High/Low (VAH/VAL), and volume distribution Support & Resistance Detection: Automatically identifies key price levels based on volume or price action AlphaTrend Signals: Generates BUY/SELL signals with visual labels on chart Volume Spike Detection: Highlights unusual volume activity indicating potential exhaustion or breakout High Volatility Alerts: Marks periods of increased market volatility using ATR Risk Assessment Dashboard: Real-time panel showing: Long/Short percentages (RSI-based) Stop levels for both directions Bot activity percentage Csocy Signal status (Safe/Undecided/Risky) How to Use: Add to Chart: Apply indicator to any timeframe (works best on 15m-4H) Configure Settings: Adjust parameters in grouped sections: 📊 General Settings (lookback periods) 🎯 Support & Resistance (line styles/colors) 💥 Volume Spike (threshold sensitivity) ⚡ High Volatility (ATR multiplier) 📈 Volume Profile (display options) 🔥 AlphaTrend (signal sensitivity) Read Signals: BUY label = Potential long entry when AlphaTrend crosses up SELL label = Potential short entry when AlphaTrend crosses down Dashboard colors: Green = bullish, Red = bearish, Yellow = neutral Set Alerts: Built-in alerts for price crosses, volume spikes, and signal confirmations Risk Management: Use displayed stop levels and Csocy Signal status to manage position sizing Best For: Day traders and swing traders Crypto, Forex, and Stock markets Identifying high-probability breakout zones Volume-based trading strategies
Pine Script®指标
由innoalgos提供
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation. This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary. When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing. Core Concept（核心思想） MA defines the trend baseline ATR measures current market volatility MA − k × ATR forms a dynamic risk threshold A close below this threshold = trend failure 👉 中文补充： 这不是反转指标，而是趋势失效过滤器，用于避免在趋势已经被破坏后继续持仓或加仓。 How It Works Calculate MA20 as the trend reference Calculate ATR(14) as volatility proxy Build adaptive bands: Upper Band = MA20 + k × ATR Lower Band = MA20 − k × ATR If close < Lower Band, trend is considered failed The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules. Visual Elements Yellow line: MA20 Green band: MA20 + k × ATR Red band: MA20 − k × ATR (key risk boundary) Red triangle + “FAIL” label: Trend failure signal Optional background shading to highlight risk zones Typical Use Cases Trend-following strategies (exit / reduce exposure) Breakout strategies (filter false continuation) Risk management overlay (non-intrusive, no repaint) Combine with HMA, SuperTrend, structure-based entries 👉 中文补充： 非常适合作为**“不该再拿”的客观判断条件**，而不是频繁交易信号。 Why This Indicator Volatility-adaptive (ATR-based) No future data, no repaint Simple logic, strong risk control Works across stocks, crypto, futures, indices This tool is designed to answer one question only: Is the current trend still valid? Parameters MA Length (default: 20) ATR Length (default: 14) ATR Multiplier k (default: 0.8) Lower k → stricter risk control Higher k → more tolerance, fewer false signals SSE:600595
Pine Script®指标
由LuckyFirst提供