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LakyFx Delta Divergence Bands V2.24LakyFx Delta Bands (Multi-Source Delta Aggregator) What this indicator is LakyFx Delta Bands is a volume-delta analytics tool designed to estimate buy vs sell pressure by decomposing volume into “buy volume” and “sell volume” per candle, then computing Delta = Buy − Sell. It can aggregate data from multiple exchanges/venues (for crypto) or switch to a single-source mode (for stocks/indices) using the chart symbol or a manual proxy symbol. This indicator does not generate guaranteed trade signals. It is built to help you: Understand whether participation is dominated by buying or selling pressure, Spot momentum shifts when delta trends change, Detect regular and hidden divergences between price action and delta flow, Smooth delta with configurable moving averages to reduce noise, Use lower-timeframe aggregation to approximate intra-bar delta (when enabled). Key concepts explained 1) Delta (estimated) TradingView typically provides OHLCV (Open/High/Low/Close/Volume) per candle, not true order-by-order “aggressive buy/sell” tape for most symbols. So this indicator estimates buy/sell volume from candle structure using one of these methods: Simple method (directional volume): If Close > Open: treat most volume as buying. If Close < Open: treat most volume as selling. If Close == Open: treat volume as neutral/0 split (or minimal split depending on implementation). Candle Anatomy method (body + wicks weighting): Attempts to distribute volume based on candle body size and wick structure. Intuition: stronger directional bodies imply stronger directional participation; wicks represent rejection. Result: Delta = BuyVolume − SellVolume Positive delta suggests net buying pressure; negative delta suggests net selling pressure. Important: This is an estimation model, not true executed market delta. 2) Aggregation (crypto multi-exchange) In crypto mode, delta can be computed from multiple data sources and summed into a single composite delta: Spot venues (e.g., Binance Spot) Perpetual venues (e.g., Binance Perp) If a venue does not list the symbol, the script ignores it (treats as 0 contribution) instead of erroring. 3) Single-source mode (stocks/indices) When Stocks/Indices mode is enabled, the indicator ignores the crypto exchange list and uses one data source: Either the chart’s symbol (syminfo.tickerid) Or a Proxy Symbol you provide (example: use SPY or ES1! as a proxy for SPX). This is crucial because many indices (like SPX) do not have real trade volume in the same way an ETF or futures contract does. 4) LTF Delta aggregation (intra-bar approximation) Instead of computing delta only from the chart timeframe candle, the indicator can compute delta from lower timeframe candles and sum them to approximate the delta inside each higher-timeframe candle. To mitigate limited 1-minute history, the LTF timeframe is chosen dynamically: Chart TF ≤ 1H → use 1m 1H < Chart TF ≤ 4H → use 15m Chart TF > 4H → use 1H This increases stability and reduces the “not enough 1m history” problem. Note: LTF aggregation is still an approximation and depends heavily on available historical data and session structure (especially for stocks). What you see on the chart A) Zero line (baseline) A horizontal centerline represents Delta = 0: Above 0 = net buying pressure Below 0 = net selling pressure B) Delta histogram A histogram shows current candle delta (aggregated): Positive bars above zero = net buying Negative bars below zero = net selling The histogram may be visually scaled (shortened) to improve readability if the raw delta is extremely spiky. C) Delta Moving Averages (3 lines) Three delta moving averages (MA1 / MA2 / MA3) are plotted on top of the histogram: They smooth delta to highlight trend and momentum. MA types and lengths are fully configurable. Color/thickness settings help you visually detect: MA crossing above/below 0, MA slope changes (momentum shift), MA separation (trend strength). D) Divergences (regular + hidden) The script detects divergences between: Price pivots (swing highs/lows) Delta signal pivots (delta or chosen MA / cumulative delta) It can display: Regular bullish divergence: price makes a lower low, delta makes a higher low Regular bearish divergence: price makes a higher high, delta makes a lower high And also: Hidden bullish divergence: price makes a higher low, delta makes a lower low Hidden bearish divergence: price makes a lower high, delta makes a higher high Hidden divergences are typically shown with lighter / more transparent colors because they are usually treated as lower priority than regular divergences. E) Value Box (top right) A small table shows current values (minimal, readable): MA2 (in millions if configured that way) Delta (human formatted) Optionally also shows debug information: SYM: the active symbol used for computation (auto symbol or manual) Sources: how many sources are enabled vs how many are actually active (valid data) Δ TF: what timeframe is currently used for delta calculation (chart TF if not LTF, otherwise 1m/15m/1H) Settings & what they do (explained) 1) Sources / Venues (Crypto list) Enable 1..10: toggles each exchange feed on/off. Symbol input per source: defines the venue ticker (e.g., BINANCE:BTCUSDT, BYBIT:ETHUSDT.P). If Auto Symbols from Chart is enabled, the script derives tickers from the chart’s base currency and constructs venue tickers internally. Why you still see BTCUSDT in settings: TradingView does not allow scripts to programmatically rewrite the UI input fields. Auto symbols work internally, not by changing what you see in input boxes. 2) Auto Symbols from Chart When enabled: The script reads the chart’s base currency (e.g., BTC, ETH, SOL) Builds venue tickers for each configured exchange (spot/perp format) Uses those computed tickers (“used symbols”) for requests When disabled: Uses the manually typed sym1..sym10 values exactly as they appear. 3) Stocks/Indices Mode (Single source) When enabled: Crypto exchange list is ignored. The script uses: Proxy symbol if provided Otherwise the chart symbol Use cases: Stocks: AAPL, TSLA, MSFT, etc. (chart symbol is enough) Indices: SPX → set proxy to SPY or ES1! for meaningful volume ETFs: SPY/QQQ (chart symbol is enough) 4) Proxy Symbol (optional) Only used in Stocks/Indices mode: If empty: uses chart symbol If set: uses the proxy symbol for all delta calculations Examples: SPX proxy: AMEX:SPY or CME:ES1! NDX proxy: NASDAQ:QQQ or CME:NQ1! 5) Delta Mode (calculation method) You typically have: Simple (directional candle) Candle Anatomy LTF Delta — Simple LTF Delta — Anatomy (Names may vary slightly, but the behavior matches.) When to use what: Simple: robust, easy to interpret, less “model risk” Anatomy: potentially more nuanced, but more sensitive to candle structure LTF versions: more granular delta estimate, but depends on data availability 6) Normalize Volume to Quote Currency (if present) Some scripts multiply volume by price to approximate “quote volume”: If ON: uses volume * close If OFF: uses raw volume For crypto, quote volume can sometimes give a more comparable magnitude across price regimes. For stocks, raw share volume may be fine; quote volume can help compare capital flow. 7) Moving Averages (MA1/MA2/MA3) Each MA usually includes: Length: number of bars Type: SMA / EMA / RMA / WMA / VWMA (depending on what you enabled) Line width: thickness for readability Color style: optionally dynamic by slope (e.g., bright when rising, muted when falling) How to interpret: MA above 0 = persistent net buying pressure MA below 0 = persistent net selling pressure MA slope turning = flow shift MA compression (lines converging) = reduced directional dominance MA expansion = strengthening trend 8) Divergence settings Typical controls include: Pivot length (left/right): how “swing points” are detected Max lookback / range: divergence search window Signal source for divergence: Raw Delta, MA2, or Cumulative Delta Regular divergence ON/OFF Hidden divergence ON/OFF Hidden divergence sensitivity: often separate pivot length or confirmation conditions Why pivots matter: Divergence logic needs “confirmed” swing highs/lows, so it inherently lags by the pivot confirmation amount. 9) Visual controls Histogram visibility Histogram transparency Histogram scaling (shortening) to reduce extreme spikes visually Zero line color/opacity Value Box on/off Debug lines on/off Practical usage tips Crypto (multi-exchange) Use a balanced set of spot + perp venues for broad participation. If the token is small/mid cap and listed only on a few venues, the “Sources active” debug line will tell you why delta looks weak or flat. Stocks Use Stocks/Indices mode ON. Prefer HTF Simple/Anatomy first. Use LTF only on intraday charts where 1m/15m history is sufficiently available. Indices Use a proxy (SPY/ES1!) because index volume can be non-representative or missing. Known limitations (important) Delta is estimated, not true traded delta. LTF data availability can be limited, especially for stocks. Session gaps can make LTF aggregation less smooth on stocks. If most venues do not list a token, multi-exchange delta will naturally be small/flat (sources ignored). Summary LakyFx Delta Bands gives you a clean, highly configurable way to visualize: multi-source aggregated delta, smoothed delta flow via configurable MAs, divergence signals (regular + hidden), and debugging feedback about what symbol and how many sources are actually driving the calculation. If you want, I can also rewrite this documentation into a shorter “TradingView script description” format (less technical, more marketing style) or a “README” format with sections and examples.
Pine Script® 인디케이터
LakyFx의
BreakPoint Pro - Market Structure Shifts BreakPoint Pro - Market Structure Shifts BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling. To reduce noise and overtrading, BreakPoint Pro integrates: - Trend and momentum filters - Signal cooldown logic - Adaptive ATR-based risk visualization - Multi-timeframe structural context The result is a clean, structured framework that helps traders align entries with both local structure and higher-timeframe bias, while maintaining consistent risk parameters. NQ 1m Chart Short Signal & TP Hit This indicator is not a strategy and does not auto-execute trades. It is intended as a decision-support tool for discretionary traders who understand structure, trend alignment, and risk management. BreakPoint Pro identifies meaningful structural breaks in price action by tracking swing highs and lows, detecting directional shifts, and optionally requiring a break-and-retest confirmation before signaling. BTC 4h Chart Short Signal Close to TP ✨ Key Features (At a Glance) - Market Structure Shift (MSS) detection - Optional break + retest confirmation - EMA trend filter - RSI momentum filter - Cooldown system to prevent signal clustering - ATR-based Stop Loss & Take Profit visualization - Dynamic Risk/Reward calculation - Higher-Timeframe (HTF) structure dashboard - Fully customizable visuals (SL/TP lines, opacity, styles) ETH 1h Chart - Showing current potential short trade in play, but also older potential trades as well with background color grading and structure high/low levels 🔍 In-Depth Feature Overview 1. Market Structure Detection BreakPoint continuously tracks recent swing highs and swing lows to determine when price breaks previous structure. A structure shift is only confirmed when price closes beyond a prior swing, helping filter out wicks and false breaks. The indicator maintains a structure state: - Bullish - Bearish - Neutral This state governs signal eligibility and background context. 2. Break + Retest Logic (Optional) When enabled, BreakPoint requires: - A confirmed break of structure - A controlled retest within an ATR-based tolerance - A continuation close in the break direction This helps avoid chasing impulsive moves and favors acceptance over reaction. Retest sensitivity can be fine-tuned using the ATR tolerance multiplier. 3. Trend & Momentum Filters To improve signal quality, BreakPoint supports optional filters: EMA Filter - Long signals only above the EMA - Short signals only below the EMA RSI Filter - Longs require RSI above a configurable midline - Shorts require RSI below it Filters can be used independently or combined for stricter confirmation. 4. Cooldown Protection After a signal triggers, BreakPoint enforces a cooldown period before allowing another signal. This prevents rapid flip-flopping in choppy conditions and encourages patience and structure clarity. 5. ATR-Based Risk Visualization Upon a valid signal, BreakPoint automatically plots: - Stop Loss (SL) - Take Profit (TP) Using: - ATR-based distance - Configurable Risk/Reward ratio - Direction-aware placement All SL/TP lines and labels are purely visual aids and can be customized or disabled depending on your workflow. 6. Higher-Timeframe Structure Dashboard BreakPoint dynamically evaluates structure on three higher timeframes relative to your current chart. A compact table displays: - Timeframe - Bullish / Bearish / Neutral structure - Current trade direction - SL, TP, and live R:R values This helps traders quickly assess top-down alignment without switching charts. DXY- USD Index 1h Chart Short with TP hit 🛠️ Settings Review: Core Structure - Swing Length – Controls sensitivity of swing detection - Require Break + Retest – Enables retest confirmation logic - Retest ATR Tolerance – Defines acceptable retest range Filters - Use EMA Filter / EMA Length - Use RSI Filter / RSI Length / RSI Midline Signal Management - Cooldown Bars After Signal – Minimum bars between signals Risk Visualization - Use ATR-based Stop Loss - ATR Stop Loss Multiplier - Use ATR-based Take Profit - Risk/Reward Ratio Visual Customization - SL/TP colors - Line styles (solid, dashed, dotted) - Line widths - Opacity levels HTF Display - Show/Hide HTF structure box - Table position on chart DASH - Weekly Timeframe Long Trade hit TP Best Practices & Tips - Works best on liquid markets (indices, FX, majors, liquid crypto) - Use HTF structure alignment for higher-confidence trades Combine with: Key levels Session highs/lows Supply & demand zones - Increase swing length and enable filters on higher timeframes - Avoid treating signals as standalone trade commands BreakPoint excels as a structure confirmation tool, not a prediction engine. SOL - 4hr Short ⚠️ Disclaimer: BreakPoint Pro – Market Structure Shifts is a technical analysis tool designed to highlight potential market structure shifts. It provides visual signals and trade bias suggestions based on swing highs/lows, optional EMA/RSI filters, and break/retest logic. It does not guarantee profits and should not be considered financial advice. Users are responsible for their own trades. Always perform your own analysis and manage risk appropriately. Use proper stop-losses and position sizing. Trading involves significant risk of loss, and past performance is not indicative of future results. By using this indicator, you acknowledge that the author cannot be held liable for any trading losses or financial outcomes resulting from its use. 💳 If you'd like access or have any questions, visit our website or feel free to reach out to me directly via DM.
Pine Script® 인디케이터
largepetrol의
Universal Adaptive Tracking🙏🏻 Behold, this is UAT (Universal Adaptive Tracker) , with less words imma proceed how it compares with alternatives: ^^ comparison with non-adaptive quadratic regression (purple line), that has higher overshoots, less precision ^^ comparison with JMA and its adaptive gain. JMA’s gain is heavily limited, while UAT’s negative and positive gains are soft-saturated with p-order Möbius transform This drop is inspired by, dedicated to, and made will all love towards Jurik Research , who retired in October 2k21. When some1 steps out, some1 has to step in, and that time it’s me (again xd). But there’s some history u gotta know: Some history u gotta know: In ~2008 dudes from forexfactory reverse engineered Jurik Moving Average In late 1990s dudes from Jurik Research approximated the best possible adaptive tracking filter for evolution of prices via engineering miracles Today in 2k26, me I'm gonna present to you the real mathematical objects/entities behind JMA top-edge engineered approximates. You will prolly be even more happy now then all the dem together back then. Why all this? When we talk about object tracking stuff, e.g. air defense, drones, missiles, projectiles, prices, etc, it all comes down to adaptive control and (Position & Velocity & Acceleration) aka PVA state space models (the real stuff many of you count as DSP ). Why? Cuz while position (P) : (mean), or position & velocity (PV) : (linear regression) are stable enough in dem own ways, Position & Velocity & Acceleration (PVA) : (quadratic regression+) require adaptivity do be stable. And real world stuff needs PVA, due to non-linearity for starters. So that’s why. If your goal is Really smoothing and no lag, u gotta go there. I see a lot of folks are crazy with it and want it, so here is it, for y’all. And good news, this is perfect for your favorite Moving Windows. How to use it The upper study: The final filter (main state): just as you use other fast smoothers, MAs, etc, you know better than me here You can also turn in volatility bands in script’s style settings, these do not require any adjustments Finally, you can turn on, in the same place, separate trackers each based on negative and positive volatility exclusively. When both are almost equal, that indicates stability & persistence in markets. May sound like it’s nothing important, but I've never seen anything like it before. Also, if you'd allow your our inner mental gym hero gloriously arise, you can argue that these 2 separate trackers represent 2 fair prices (one for sellers, one for buyers). All better then 1 imaginary fair price for both (forget about it) The lower study: The lower study: you can analyze streams of upward of downward volatilities separately. This is incredibly powerful You can also turn these off and turn on neg & pos intensities, and use them as trend detector, when each or both cross 1.5 (naturally neutral) threshold. ^^ Upper study with expected typical and maximum volatility bands turned On ... The method explained What you got in the end is non-linear, adaptive, lighting fast when needed and slow when required price tracking. All built upon real math entities/objects, not a brilliantly engineered approximation of them. No parameters to optimize, data tells it all. ... It all starts from a process model, in our cause this is... MFPM (Mechanical Feedback Price Model) Doesn’t make gaussian assumptions like most quant mainstream tech, accepts that innovations are Laplace “at best”, relies in L inf and L0 spaces. I created this model neither trynna fit non-fitting ARMA / variants, nor trynna be silly assuming that price state evolution and markets are random. Theory behind it: if no new volume comes, then price evolution would be simply guided by the feedback based on previous trading activity, pushing prices towards the midrange between 2 latest datapoints, being the main force behind so called “pullbacks” and reason why most pullbacks end just a bit past 50% of a move. This is the Real mechanical feedback based mean reversion, that is always there in the markets no matter what, think of it as a background process that is always there, and fresh new volume deviates prices away from it. Btw, this can also be expressed as AR2 with both phis = 0.5 . Then I separate positive and negative innovations from this model and process them separately, reflecting the asymmetry between buy and sell forces, smth that most forget. Both of these follow exponential distribution . Each stream has its own memory so here we use recursive operators . We track maximum innovations (differences between real and expected datapoints) with exponentially decaying damping factor, and keep tracking typical innovation, with the same factor. Then we calculate what’s called in lovely audio engineering as “ crest factor ”, the difference is we don’t do RMS and stuff. But hey again we work with laplace innovations, so we keep things in L0 and L inf spirit. Then we go a couple of steps further, making this crest factor truly relative (resolution agnostic), and then, most importantly, we apply a natural saturation on it based on p-order Möbius transform, but not with arbitrary p and L, but guided by informational limits of the data. These final "intensity" parameters are what we need next to make our object tracking adaptive. Extended Beta(2, 2) Window This is imo the main part of this. Looking at tapering windows in DSP and how wavelets are made from derivatives of PDF functions of probability distributions, I figured that why use just one derivative? That made me come up with Universal Moving Average , that combines PDF and CDF of Beta(2, 2) distribution . And that is fine for P (position) tracking model. Here we need PVA (position & velocity & acceleration). We can realize that everything starts from PDF, and by adding derivatives and anti-derivatives of it as factors of final window weights, we can create smth truly unique, a weightset that is non-arbitrary and naturally provides response alike quadratic regression does, But, naturally smoothed. Why do I consider this a discovery, a primordial math object? Because x^2 itself and Beta(2, 2) based on it are the only primitives, esp out of all these dozens of DSP tapering windows, that provide you a finite amount of derivatives. You can keep differentiating Hann window until the kingdom f come, while Welch window aka Beta(2, 2) has a natural stopping point, because the 3rd derivative is 0, so we can’t use it. Symmetrically, we do 2 steps up from PDF, getting 1st and second anti-derivatives. What’s lovely, symmetrically, 3rd antiderivative even tho exist, it stops making any sense. 2nd one still makes sense, it’s smth like “potential” of probability distribution, not really discussed in mainstream open access sources. Finally, the last part is to introduce adaptivity using these intensity exponents we’ve calculated with MFPM. We do 2 separate trackers, one using the negative intensity exponent, another one uses positive intensity exponent. And at the end, even tho using both together is cool, the final state estimate is calculated simply as the state which intensity has higher. ^^ impulse response of our final kernel with fixed (non adaptive) intensity exponents: 1 (blue) and 2 (red). You see it's all about phase … And that’s all folks. … Actually no … Last, not least, is the ability to add additional innovation weight to the kernel: ^^ Weighting by innovations “On”. Provides incredible tracking precision, paid with smoothness. I think this screenshot, showing what happened after the gap, and how the tracker managed to react, explains it all. ... Live Long and Prosper, all good TradingView ∞
Pine Script® 인디케이터
gorx1의
5
200 MA Pack (SMA / EMA / SMMA / WMA) + VWAP200 Moving Average Pack + VWAP (Institutional Trend Indicator) This indicator plots the most widely respected long-term trend and institutional reference levels on a single chart. Included: 200 SMA – Long-term market structure & institutional bias 200 EMA – Dynamic trend direction & pullback reference 200 SMMA (RMA) – Smoothed trend stability with reduced noise 200 WMA – Faster weighted trend response VWAP – Volume-weighted fair value used by smart money Designed for stocks, indices, futures, and commodities, this tool helps identify: Bullish vs bearish market regimes High-probability trend continuations Key support & resistance zones Price acceptance or rejection around VWAP Best used for positional trading, swing trading, and intraday bias. Works on all timeframes.
Pine Script® 인디케이터
BearThatBuys의
VIX Crossing# VIX Crossing Strategy ## Overview VIX Crossing is a quantitative trading strategy that combines volatility signals from the VIX index with trend confirmation from the Nasdaq-100 (NDX) to generate long entry signals. The strategy employs multiple exit conditions to manage risk and lock in profits systematically. ## Strategy Logic ### Entry Condition The strategy initiates a long position when: - **VIX Crossunder**: The VIX closing price crosses below its 5-bar simple moving average (SMA), signaling a decrease in implied volatility - **AND NDX Confirmation**: The Nasdaq-100 closes above its 21-bar exponential moving average (EMA), confirming uptrend strength This dual-signal approach reduces false entries by requiring both volatility normalization and positive market momentum. ### Exit Conditions The strategy automatically closes positions when any of the following conditions are met: 1. **VIX Crossover (Volatility Exit)**: VIX closes above its SMA, indicating rising volatility 2. **Time-Based Exit**: Position is force-closed after 10 bars from entry, preventing prolonged drawdowns 3. **Take-Profit Exit**: Position closes when unrealized profit exceeds $3,000 per contract 4. **Stop-Loss Exit**: Position closes when unrealized loss exceeds $1,500 per contract Exit conditions are evaluated each bar while the position is open, with explicit logging of the exit reason for trade analysis. ## Configuration Parameters | Parameter | Default | Purpose | |-----------|---------|---------| | VIX SMA Length | 5 | Smoothing period for VIX volatility baseline | | NDX EMA Length | 21 | Smoothing period for Nasdaq-100 trend confirmation | | Force Close After X Bars | 10 | Maximum holding period in bars | | TP Amount per Contract | $3,000 | Profit target per contract | | SL Amount per Contract | $1,500 | Loss limit per contract | ## Risk Management Features - **Position Sizing**: Capital allocation based on profit/loss per contract rather than fixed units, allowing for scalable risk - **Dual Risk Controls**: Combined time-based and price-based exits prevent extended exposure - **Profit Asymmetry**: 2:1 profit-to-loss ratio encourages risk/reward discipline - **Contract-Based Accounting**: Profit targets and stop losses scale with position size ## Capital Requirements - **Initial Capital**: $50,000 - **Commission**: $3 per contract (cash-based) - **Instrument**: Designed for index-based derivatives or equities with liquid options markets ## Technical Indicators Used - Simple Moving Average (SMA) for VIX smoothing - Exponential Moving Average (EMA) for NDX trend detection - Crossover/Crossunder detection for signal generation ## Underlying Assumptions 1. VIX crossunder events represent mean-reversion opportunities in Nasdaq-heavy portfolios 2. NDX EMA confirmation filters out uncorrelated volatility spikes 3. 10-bar holding period aligns with typical mean-reversion timeframes 4. Contract-based profit targets accommodate varying leverage levels
Pine Script™ 전략
llbot의
4MAs+5VWAPs+FVG+ Fractals4MAs + 5VWAPs + FVG + Fractals All-in-one market structure indicator combining 4 moving averages, 5 VWAP timeframes, fair value gaps, fractals, and order blocks. 🔧 Features: · 4 MAs - SMA/EMA, customizable lengths & colors · 5 VWAPs - Daily, Weekly, Monthly, RTH, Custom sessions · Fractals - Market structure with breakout lines & custom colors · FVG/Imbalances - Bullish/bearish gap detection with alerts · Order Blocks - Dynamic institutional levels · Smart Labels - VWAP labels with color matching ⚙️ Quick Setup: 1. Toggle groups in Master Control Panel 2. Customize colors for each component 3. Set sessions for RTH/Custom VWAP 4. Adjust fractal periods (default: 2) 📈 Trading Use: · Identify market structure with fractals · Find confluence at VWAP + MA levels · Trade FVG fills and order block reactions · Multiple timeframe analysis with 5 VWAPs Customizable • Color-Coordinated • Performance Optimized
Pine Script® 인디케이터
mikedret의
AHR999 Index (Renewed)AHR999 Indicator The AHR999 Indicator is created by a Weibo user named ahr999. It assists Bitcoin investors in making investment decisions based on a timing strategy. This indicator implies the short-term returns of Bitcoin accumulation and the deviation of Bitcoin price from its expected valuation. When the AHR999 index is < 0.45, it indicates a buying opportunity at a low price. When the AHR999 index is between 0.45 and 1.2, it is suitable for regular investment. When the AHR999 index is > 1.2, it suggests that the coin price is relatively high and not suitable for trading. In the long term, Bitcoin price exhibits a positive correlation with block height. By utilizing the advantage of regular investment, users can control their short-term investment costs, keeping them mostly below the Bitcoin price.
Pine Script® 인디케이터
CryptoNE0의
SIV Trading LightSmartInVisions Trading Light (SIV Trading Light) **Multi-Factor Market Regime & Trade Bias Indicator** --- ## Overview and Purpose **SmartInVisions Trading Light (SIV Trading Light)** is a market **context and trade-bias indicator**, not a signal generator. Its purpose is to answer one practical trading question: > *“Given the current market conditions, is it statistically more favorable to think LONG, SHORT, or stay neutral?”* Instead of relying on a single indicator, SIV Trading Light **combines several independent market dimensions into one coherent score**. This allows traders to avoid over-trading in unfavorable environments and to align trades with the dominant market context. --- ## Why This Is NOT a Simple Indicator Mashup This script does **not** simply merge popular indicators. Each component is: * normalized, * weighted, * evaluated against thresholds, * and translated into **positive, neutral, or negative score contributions**. Only the **combined interaction** of these components produces the final trade bias. No single indicator can dominate the result on its own. --- ## Core Calculation Concept At every bar, the indicator evaluates multiple independent factors. Each factor contributes points to a **total bias score**. The score is then classified into one of three states: * **LONG bias** * **NEUTRAL** * **SHORT bias** The indicator does **not** predict price direction. It classifies the **current trading environment**. --- ## Components and How They Work Together ### 1. Trend Structure (Moving Averages) **Purpose:** Identify the dominant directional structure. * Fast MA vs Slow MA relationship * Price position relative to the slow MA * Optional slope confirmation Contribution: * Positive points in aligned uptrends * Negative points in aligned downtrends * Neutral in mixed or unclear structures --- ### 2. Momentum (RSI) **Purpose:** Measure directional strength. * RSI above upper threshold → bullish momentum * RSI below lower threshold → bearish momentum * Mid-range RSI → neutral Momentum refines trend signals by confirming or weakening them. --- ### 3. Trend Quality / Choppiness (ADX) **Purpose:** Filter out sideways or noisy markets. * ADX above threshold → trending environment * ADX below threshold → choppy environment ADX does **not** define direction. It modifies how much weight trend and momentum signals receive. --- ### 4. Volatility Risk (ATR%) **Purpose:** Penalize structurally dangerous environments. ATR is normalized as a percentage of price: * Excessively high volatility → risk penalty * Extremely low volatility → participation penalty * Balanced volatility → neutral or positive contribution This prevents aggressive trading in unstable regimes. --- ### 5. Market Participation (Relative Volume) **Purpose:** Confirm whether moves are supported by volume. * High relative volume → confirmation * Low volume → weaker confidence Volume acts as a confidence modifier, not as a directional signal. --- ### 6. Higher-Timeframe Market Regime (Optional) **Purpose:** Align trades with the dominant higher-timeframe context. On a user-defined **regime timeframe**, the script evaluates: * trend structure * RSI momentum The regime filter can: * amplify signals aligned with the higher timeframe * suppress signals against it This avoids trading aggressively against dominant market structure. --- ## Multi-Timeframe Design The indicator separates two concepts: * **Trading Timeframe**: the chart timeframe used for execution * **Regime Timeframe**: a higher timeframe used for contextual bias This design allows the same logic to be applied to: * day trading * swing trading * longer-term investing --- ## Presets and Customization Built-in presets are provided for: * Day Trading (USA / Europe) * Swing Trading (USA / Europe) * Investing (USA / Europe) Presets define: * factor weights * thresholds * score boundaries They do **not** define: * timeframes * moving average types or lengths This keeps structural decisions under user control while simplifying parameter tuning. A **Custom mode** allows full manual configuration. --- ## Visual Output The indicator provides: * two moving average overlays (fast / slow) * an optional background color reflecting the current bias * a compact badge summarizing mode, score, and state * an optional breakdown table showing how each factor contributes to the score These visuals are designed to explain **why** the current bias exists. --- ## Alerts Alerts are based on **state changes**, not on every bar. Alert outputs include: * numerical state (`1 = LONG, 0 = NEUTRAL, -1 = SHORT`) * score value * rounded moving average values This allows integration into discretionary or systematic workflows without alert noise. --- ## How This Indicator Should Be Used ✔ As a **trade filter** ✔ To avoid trading in unfavorable conditions ✔ To align discretionary entries with market context --- ## What This Indicator Is NOT ✘ Not a buy/sell signal ✘ Not a prediction model ✘ Not a replacement for risk management --- ## Credits and License **Publisher:** SmartInVisions GmbH **Concept & Design:** Reiner Ernst **Implementation & Iterative Development:** SmartInVisions GmbH + ChatGPT (OpenAI) **License:** Mozilla Public License 2.0 (MPL-2.0) --- ## Disclaimer This script is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk. ---
Pine Script® 인디케이터
richie_ryna의
Adaptive Support/Resistance EMA IndicatorThis indicator automatically identifies and displays the optimal Exponential Moving Average (EMA) period for the current market conditions by analyzing how well different EMAs act as support or resistance levels. How It Works Adaptive Period Selection: The indicator tests 33 different EMA periods (ranging from 5 to 400, including Fibonacci numbers like 8, 13, 21, 34, 55, 89, 144, 233, 377) and scores each based on how effectively it functions as support or resistance. Intelligent Scoring System: Each EMA is evaluated using three key metrics: Respect Rate - Percentage of time price stays on the correct side of the EMA (above for support, below for resistance) Successful Bounces - Number of times price approached the EMA and reversed without breaking through Break Severity - Penalties for failed breaks, weighted by both depth and duration of the violation Trend-Aware Behavior: Uptrend (price > 50 EMA): Finds the EMA that best acts as a support floor below price Downtrend (price < 50 EMA): Finds the EMA that best acts as a resistance ceiling above price Adaptive Features: Dynamic Lookback: Automatically adjusts analysis period (50-200 bars) based on market volatility Sticky Selection: Won't switch EMAs unless new choice shows significant improvement (8% threshold by default) Update Frequency: Recalculates every 20 bars or immediately during high volatility periods Visual Elements EMA Display: Green line = Support (in uptrends) Red line = Resistance (in downtrends) Optional glow effect for enhanced visibility Optional fill between price and EMA Labels: Shows "SUP " or "RES " when the selected EMA changes Markers appear only when there's a meaningful change Info Table: Displays real-time statistics: Current EMA period Role (Support or Resistance) Adaptive lookback length Number of successful bounces Number of breaks Break severity score (color-coded: green < 5, yellow 5-20, red > 20) Key Advantages No manual EMA period selection needed Adapts to changing market conditions automatically Considers both bounce quality and break severity Reduces whipsaws through sticky selection logic Provides transparency with detailed performance metrics Settings Performance Settings: Min/Max Lookback: Range for adaptive analysis window Update Frequency: How often to recalculate (higher = faster performance) Sticky Threshold: Required improvement % to switch EMAs Detection Settings: Touch Threshold: How close price must get to count as a "touch" Bounce Window: Bars to confirm a successful bounce vs break Visual Settings: Customizable support/resistance colors Toggle glow and fill effects Show/hide info table and change markers
Pine Script® 인디케이터
RobertDun의
John Trade AlertsImagine you are watching a ball bounce up and down on a graph. This script is like a set of rules that says: When to start playing When to stop playing When you got some prize levels and it yells to you (alerts) when those things happen. The main ideas Breakout Buy (ball jumps high) There is a line drawn high on the chart called the breakout level. If the price (the ball) closes above that line, and some extra “good conditions” are true (enough volume, uptrend, etc.), the script says: “We entered a Breakout trade now.” Pullback Buy (ball dips into a box) There is a zone (a small box) between a low line and a high line: the pullback zone. If the price closes inside that zone, and the pullback looks “healthy” (not too much volume, still above a moving average, etc.), the script says: “We entered a Pullback trade now.” Stops (when to get out if it goes wrong) For each entry type (Breakout or Pullback), there is a red stop line under the price. If the price falls below that stop line, the script says: “Stop hit, we’re out of the trade.” Hard Support / Invalidation (big no‑no level) There is a special hard support line. The script also looks at the 1‑hour chart in the background. If a 1‑hour candle closes below that hard support, it says: “Hard invalidation – idea is broken, get out.” Targets (prize levels) Above the current price there are several orange lines: Target 1, 2, 3A, 3B, 4A, 4B. If the price goes up and crosses one of these lines, the script says: “Target X reached!” Trend and Volume “health checks” It checks if the short‑term average price (SMA20) is going up → “uptrend.” It can check if price is above a long‑term average (SMA200). For breakouts, it checks if volume is stronger than usual (good push). For pullbacks, it prefers quieter than usual volume (calm dip). It can also check an Anchored VWAP line (a special average price from a chosen starting time) and only trade if price is above that too. Remembering if you are “in a trade” The script keeps a little memory: Are we currently in a position (inPos) or not? Was it a Breakout or a Pullback entry? What is our entry price and active stop? When it gets a new entry signal, it turns inPos to true, picks the right stop, and draws that stop line. When a stop or hard invalidation happens, it sets inPos to false again. It can also “forget” and reset at the start of a new trading day if you want. Alerts When: you get a Breakout entry or a Pullback entry or a Stop is hit or the hard support is broken on 1‑hour or a Target is reached the script sends a message you can use in TradingView alerts (pop‑ups, email, webhook, etc.). Things you see on the chart Teal line: Breakout level Green lines: Pullback zone low & high Red line: Active stop (only when you’re “in” a trade) Orange lines: Targets 1, 2, 3A, 3B, 4A, 4B Blue line: Anchored VWAP (if you turn it on) Purple faint line: SMA20 (short‑term trend) Gray faint line: SMA200 (long‑term trend) Little label near the last bar that says: if you’re IN or Flat which type of entry (Breakout/Pullback) what your current stop is So in kid words: It draws important lines on the chart. It watches the price move like a ball. When the ball does something special (jump above, fall below, hit a prize line), it shouts to you with alerts. It remembers if you’re in the game or not, and where your safety line (stop) is.
Pine Script® 인디케이터
JmandersonBM의
Dynamic Zone TraderDynamic Zone Trader - MACD-based trading system with adaptive stop loss and take profit zones. This indicator generates buy/sell signals from MACD histogram crossovers and automatically adjusts position sizing based on market conditions. Key Features: Detects breakout trades and expands targets to capture larger moves Identifies choppy/ranging conditions and tightens stops to reduce risk Shows supply and demand zones based on pivot highs/lows Displays three take profit levels (TP1, TP2, TP3) that scale with trade quality Entry signals filtered by 50 EMA to trade with the trend Signal strength score displayed on each entry marker How It Works: The indicator analyzes recent price structure and movement to classify each trade: Breakout trades (breaking recent highs/lows) get 1.6x larger zones Normal trades get standard 1.0x sizing Choppy weak signals get 0.75x smaller zones This allows you to take bigger positions on high-conviction setups while limiting risk during low-quality trades. Settings: MACD parameters (default 8/21/5) Base stop loss: 60 ticks Base take profit: 80 ticks EMA filter: 50 period Optional ADX trend filter Adjustable breakout detection sensitivity Works on any timeframe and instrument, but optimized for index futures like NQ/MNQ.
Pine Script® 인디케이터
zackzackzackw의
Sarfaraz magig IndicatorThis TradingView indicator generates BUY and SELL signals based on the crossover of Exponential Moving Averages (EMA 9 & EMA 50). 🔹 Indicator Logic: – When EMA 9 crosses ABOVE EMA 50 → BUY signal – When EMA 9 crosses BELOW EMA 50 → SELL signal 🔹 Designed to capture trend direction and momentum 🔹 Helps identify trend reversals and continuation trades 🔹 Signals are generated only after confirmed crossover 🔹 Non-repaint indicator 🔹 Suitable for: Crypto Forex Stocks 🔹 Works well on 5m, 15m, 1h timeframes ⚠️ This indicator provides signals only. Stop Loss, Take Profit, and risk management must be applied manually by the trader.
Pine Script® 인디케이터
Sarfaraz-trades의
1
Chello Pro V1 ASSAF ALGOSChello pro is all you need for scalping day trading or swing it works perfectly in all markets It contains a special moving average for trend direction A signals depends on crossing the high or low of the sma or the ema A sniper bands to insure the market momentum A market structure add for more confluence For LONG : Price above the MA a buy signal active a bullish choch or bos signal active the price in green band For SHORT : Price below the MA a SELL signal active a bearish choch or bos signal active the price in red band Note: Keep the sma length at 9 for fast signals and 50 for slower one change the sniper multiplier according to your strategy Avoid choppy markets Its better to use stop or trigger orders above or below entry candle Add a good order blocks indicator for better results Chello Pro هو كل ما تحتاجه للمضاربة السريعة، أو التداول اليومي، أو التداول المتأرجح، فهو يعمل بكفاءة عالية في جميع الأسواق. يحتوي على متوسط ​​متحرك خاص لتحديد اتجاه الترند. تعتمد الإشارات على تجاوز أعلى أو أدنى مستوى للمتوسط ​​المتحرك البسيط (SMA) أو المتوسط ​​المتحرك الأسي (EMA). أضف بنية السوق لمزيد من الترابط. للشراء: السعر أعلى من المتوسط ​​المتحرك: إشارة شراء فعّالة، وإشارة تذبذب صعودي (BOS) فعّالة. للبيع: السعر أقل من المتوسط ​​المتحرك: إشارة بيع فعّالة، وإشارة تذبذب هبوطي (BOS) فعّالة. ملاحظة: اضبط طول المتوسط ​​المتحرك البسيط (SMA) على 9 للحصول على إشارات سريعة، و50 للحصول على إشارات أبطأ. تجنب الأسواق المتقلبة. أضف مؤشرًا جيدًا لكتل ​​الأوامر لتحقيق نتائج أفضل
Pine Script® 인디케이터
ASSAF-ALGOS의
Moving Average to Moving Average (Smoothing) by ysfgnrMoving Average to Moving Average (Smoothing) Description: This indicator applies a smoothing process to a standard moving average to reduce market noise and highlight trend direction. Main MA: Choose the type (SMA, EMA, SMMA/RMA, WMA, VWMA) and length for the primary moving average. Smoothing MA: Apply additional smoothing on the main MA to further reduce fluctuations. Signals & Alerts: Alerts are generated when the price crosses above or below the smoothed MA. The area between Main MA and Smoothing MA is filled: green for bullish, red for bearish. Note: These signals are for directional alert purposes only; they do not generate actual buy/sell positions and do not constitute financial advice. Visuals: Main MA and Smoothing MA are plotted on the chart for clarity. Filled area shows trend direction.
Pine Script® 인디케이터
ysfgnr의