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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.
Indicador Pine Script®
por zackzackzackw
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 ∞
Indicador Pine Script®
por gorx1
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
Estratégia Pine Script®
por llbot
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. ---
Indicador Pine Script®
por richie_ryna
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.
Indicador Pine Script®
por CryptoNE0
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.
Indicador Pine Script®
por BearThatBuys
bollinger bandsWhat the indicator is (Generated by trade-pilot.app Builder) This is a hybrid trend/continuation + EMA crossover signal indicator that generates LONG/SHORT entries only when multiple filters agree. It’s built to avoid “random” signals by forcing confirmation from trend direction, volatility, and risk/reward conditions, and it can also restrict signals to a specific trading session + timezone. Main modules inside the code 1) Session filter (time-based) The script checks if the current bar is inside the chosen session (default 09:30–16:00 New York time). ✅ Signals only trigger inSession ❌ No signals outside session This helps you avoid entries during dead/low-quality hours. 2) Bollinger “Continuation Setup” It calculates Bollinger Bands (default Length 20, Mult 2) and looks for a continuation pattern: Trend detection (slope-based): It measures the slope of the Bollinger middle band (basis). If slope is up and price is above the basis → uptrend If slope is down and price is below the basis → downtrend Pullback + confirmation: Long setup: price makes a pullback toward the middle band area (without breaking too deep) and then prints a bullish confirmation candle closing above the basis. Short setup: same idea but reversed (pullback up + bearish confirmation candle closing below the basis). ✅ Result: signals that aim to catch trend continuation after a pullback, not random touches. 3) Stop & Target visualization (Bollinger-based) When a continuation setup happens, the script calculates: Stop (long): near the middle band / recent lowest lows Stop (short): near the middle band / recent highest highs Target (long): upper Bollinger band Target (short): lower Bollinger band On the chart (like in your screenshot), you see: Bollinger Bands Stop/target points shown as colored circles when a setup triggers This makes it easier to visually understand the trade structure. 4) Bandwidth filter (volatility filter) It calculates Bollinger Bandwidth (percentage width of the bands). Signal only passes if: Bandwidth ≥ minimum threshold (default 0.8%) ✅ Helps avoid trading when volatility is too low (chop / squeeze conditions). 5) Risk:Reward filter (quality filter) This part estimates whether the trade has enough “room” to make sense: Stop distance is ATR-based: ATR × multiplier Target distance is approximated using recent swing potential: Long: distance to recent highest high (last 10 bars) Short: distance to recent lowest low (last 10 bars) Then it calculates: RR = targetDistance / stopDistance and requires: RR ≥ minimum RR (default 1.0) ✅ Helps filter out trades where the potential reward is too small compared to risk. 6) EMA crossover signals (secondary signal engine) It also plots: Fast EMA (default 20) Slow EMA (default 50) It generates extra signals on: Bullish crossover (fast crosses above slow) Bearish crossunder So final signals can come from: Bollinger continuation OR EMA crossover …but still must pass bandwidth + RR + session filters. Final signal rule (important) A LONG is printed only when: (Bollinger continuation long OR EMA bullish crossover) AND bandwidth filter passes AND RR filter passes AND inside session Same logic for SHORT. That’s why the signals are more selective. What you see on the chart (like your screenshot) Bollinger Bands (upper/middle/lower) EMA fast + EMA slow Red/green arrows for entries “LONG/SHORT” labels on signal candles Optional alert triggers for automation How it helps traders ✅ Cleaner entries (trend + pullback continuation + confirmation) ✅ Less chop (volatility bandwidth filter) ✅ Better trade quality (risk/reward filter) ✅ Session control (only trade when market conditions are best) ✅ Easy visual decision making (bands, EMAs, and stop/target markers on the chart) ✅ Alerts-ready for live notifications Small note (so you don’t get surprised) You have an input called “Show Dashboard”, but the current code does not actually create a dashboard table (no table.new section exists). Everything else works as shown. prnt.sc
Indicador Pine Script®
por barmoah2
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops. How it Works: Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals. Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend. Liquidity Sweep Detection: A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward. A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes. ATR-Based Risk Management: Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5). Take profit is set based on a risk-reward ratio (default 2.5x). Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading. Inputs: Session Start/End (HHMM) Liquidity Lookback Period (number of bars to define prior high/low) ATR Length for stop calculation ATR Stop Multiplier Risk-Reward Ratio EMA Trend Filter Length Visuals: Prior Liquidity High (red) Prior Liquidity Low (green) EMA Trend (blue) Why Use This Strategy: Captures stop-hunt moves often triggered by larger market participants. Only trades with trend confirmation, reducing false signals. Provides automatic ATR-based stop loss and take profit for consistent risk management. Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style. Important Notes: Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker. Not financial advice; intended for educational, backtesting, or paper trading purposes. Always test strategies thoroughly before applying to live accounts.
Estratégia Pine Script®
por AIScripts
Daily Support/Resistance Points (Historical Days)indicator plots support and resistance levels derived from historical price action. It analyzes higher‑timeframe candles (Daily/Weekly/Monthly) and ranks levels by strength and number of touches, then draws the most relevant levels around the current price. If no strong levels are found, it falls back to touch‑based levels so you still get meaningful lines. How to Use: Add the script to any chart. Choose Levels Timeframe: Auto (recommended): follows the chart timeframe (D/W/M). D / W / M: force a specific timeframe. Set lookback windows: Lookback Days (D) – default 200 Lookback Weeks (W) – default 104 Lookback Months (M) – default 60 Adjust sensitivity: Min Strength – filters weaker levels. Volume Multiplier – requires higher volume for stronger levels. Time Decay – gives more weight to recent data. Min Touches (Fallback) – used when no strong levels are found. Optional: enable Show Debug Info to see how many levels are detected. Open Source & License: This script is open source under the MIT License. You are свободно to use, modify, and share it with attribution. Author / Contact: Ron Belson For questions or requests, contact: ronbelson@gmail.com
Indicador Pine Script®
por ronibelson
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
Indicador Pine Script®
por mikedret
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
Indicador Pine Script®
por RobertDun
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.
Indicador Pine Script®
por JmandersonBM
EMA 8 x EMA 80 Indicator Trend Filter for the 123 PatternEMA 8 x EMA 80 Indicator Trend Filter for the 123 Pattern This indicator displays two Exponential Moving Averages EMA with 8 and 80 periods, designed to assist in trend identification and to act as a filter for trading the 123 buy and sell pattern. General usage rules 123 Buy: recommended only when trading in an uptrend 123 Sell: recommended only when trading in a downtrend Moving average filter Buy setups 123 Buy tend to be more reliable when price is above the 80 period EMA Sell setups 123 Sell tend to be more reliable when price is below the 8 period EMA Neutral zone attention The area between the EMA 8 and EMA 80 is considered a neutral zone Trading the 123 pattern within this range is riskier, as it often indicates consolidation or lack of clear trend direction Important disclaimer This indicator does not generate buy or sell signals by itself. It should be used as a supporting tool, together with proper risk management, market context, and additional analysis. This is not financial advice.
Indicador Pine Script®
por artur_bonaf
BNF (Kotegawa) Strategy [CB Algos]STRATEGY: BNF (Kotegawa) Mean Reversion Strategy DEVELOPED BY: CB Algos DESCRIPTION: This indicator replicates the trading style of Takashi Kotegawa (BNF). It calculates the percentage deviation of the price from the 25-period SMA. HOW TO USE: 1. Look for 'Lime' bars (Extreme Buy) or 'Teal' bars (Moderate Buy). These indicate the price has dropped significantly below the average. 2. Look for 'Red' bars (Extreme Sell) as profit-taking zones. 3. Use the Info Panel to see the exact current deviation %.
Indicador Pine Script®
por clintbailo94