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Dynamic SMAThis script uses dynamic length to create a different sma type. The length of the "Dynamic SMA" - "dSMA" can be: 'RSI', 'Stoch', 'ATR', 'MFI' or '%R' For example 'RSI' -> the length of the sSMA will be the RSI itself The biggest challenge was: 'Pine cannot determine the referencing length of a series. Try using max_bars_back' error The writer of 'referencing length of a series' issue gave following solution: bar_index == 0 ? 4999 : len or in case of values which don't go above 100: bar_index == 0 ? 100 : len This assigns the necessary buffer to the function. I'm most grateful for the given solution! These dSMA's can give Support/Resistance levels, also crossovers of different dSMA's can give extra information Examples: RSI ATR (close / atr(len) Stoch MFI %R "show regular SMA" will show the "SMA" with the same length (with default lighter color)
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fikira tarafından
9
Daily GAP StatsI did not write the script from scratch but rather started editing code of an existing one. The original code came from a script called GAP DETECTOR by @Asch- First up: I am a trader, not a programmer and therefore my code most likely is inefficient. If someone with more expertise would like to help and optimize it - feel free to get in touch, I am always happy to learn some new tricks. :) This script does 2 things: - It shows daily gaps stats based on user inputs - It shows color coded labels on gap days with additional information in tooltips ( important: make sure to read 'known issues/limitations' at the end ) User Inputs ========== Although the input dialog is pretty straight forward, I do a quick rundown: - Length: max lookback time - Gap Direction: self explanatory - Show All Gaps | Cont Only | Reversal Only | Off: This refers to the way labels are displayed on gap days (again: make sure to read known issues/limitations!) - Show All Gaps: does what it says - Cont Only: only shows gaps where price continued in the gap direction. If you filter for gap ups and chose 'Cont only' you will only see labels on gap days where price closed above the open (and vice versa if you scan for gap downs). - Reversal Only: you will only see labels for closes below the open on gap up days (and the opposite on gap down days) - Off: self explanatory - Gap Measure in ATR/PCT: self explanatory, ATR is calculated over a 10d period - Gap Size (Abs Values): no negative values allowed here. If you filter for gap downs and enter 3 it means it will show gaps where the stock fell more than 3 ATR/PCT on the open. - RVOL Factor: along with significant gaps should come significant volume. RVOL = volume of the gap day / 20d average volume - Viewing Options: Placing the stats label in the window is a bit tricky (see knonw issues/limitations) and I was not sure which way I liked better. See for yourself what works best for you. Known Isusses/Limitations: ======================= - Positioning of the stats table: As to my knowledge, Tradingview only allows label positioning relative to price and not relative to the chart window. I tried to always display the gap stats table in the upper right corner, using 52wk high as y-coordinate. This works ok most of the time, but is not pretty. If anybody has some fancy way to tag the label in a fixed position, please get in touch. - Max number of labels per script: TradingView has a limitation that allows a maxium of ~50 labels per script. If there are more labels, TradingView will automatically cut the oldest ones, without any notification. I have found this behaviour to be rather inconsistent - sometimes it'll dump labels even if there are a lot fewer than 50. Hopefully TradingView will drop this limitation at one point in the future. Important: The inconsistent display of the gap day labels has NO INFLUENCE on the calculations in the gap stats table - the count and the calculations are complete and correct!
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dax50 tarafından
15
Anas daily atr forecastingthis indicator is used to forecast the coming day ATR by using hourly ATR and multiply by 24 hour then multiply with common Fibonacci retracement of 0.68 and 0.38 alternately and it tracks the intraday price oscillation , so if first target reached its recommended for breakeven , 2nd target is the forecasted ATR and its recommended take profit for intraday if there is a strong news and its expected to have strong movement last target is recommended .
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anashassan76 tarafından
Baseline + cross signals within atr channelThis script displays an KAMA (kaufman adaptative moving average) baseline on the chart (default = 14, 2, 30) or a Kijun baseline. It displays visual signals at every baseline crossover : - Long (green) if a crossover + within an ATR distance. - Short (red) if a crossunder + within an ATR distance. - Filtered signals (not within the ATR channel) are displayed in yellow. A x factor can be applied to ATR. Adapted to both dark and light mode
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sickojacko tarafından
1
Separated ATR - evoThis script plots two ATR (Average True Range) values, one based on only bullish and the other based on only bearish bars. If the current bar is positive, the negative ATR will use its last known negative bar for the calculation. You can smooth bar directions by using the Heikin Ashi setting. Use this the same way how you would use the regular ATR indicator, but with the added value of knowing which side of the market has more volatility.
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EvoSti_ tarafından
1
Range Force Impulse The "Range Force Impulse" indicator combines 4 useful indicators into one, freeing up chart real-estate and giving the trader insight into trend health, bull/bear commitment, range and volatility all at a glance. The indicator consists of the following: Direction - True Range and Average True Range columns shown above and below 0 depending on direction of the period's price -- TR (gray) shows the current period's trading volatility -- ATR (Impulse colors, see below) shows an EMA of TR over a specified length -- Can be used to determine stops and targets (Example: Stop loss at prev close - ATR, Target at 2x ATR) Index - Alexander Elder's EMA of (change(close) * volume), shows crosses above 0 (green) and below 0 (red), and intermediate signals -- Shows bull vs. bear interest/commitment/dominance -- Elder recommends EMA length of 2 for daily chart buy/sell signals, and 13 for weekly chart bull/bear dominance & trend direction signals -- Intermediate signals are shown above 0 when falling (salmon), or below 0 when rising (pale yellow) System - Range columns are colored using Alexander Elder's censorship system (green: do not short, red: do not long, blue: is up to you) -- Shows overall trend health (Macd histogram and EMA up/down changes)
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zephurr tarafından
4
Fractal Regression Bands [DW]This study is an experimental regression curve built around fractal and ATR calculations. First, Williams Fractals are calculated, and used as anchoring points. Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period. The median between the positive and negative sloping lines is then calculated, then the best fit line (linear regression) of the median is calculated to generate the basis line. Lastly, a Golden Mean ATR is taken of price over the sampling period and multiplied by 1/2, 1, 2, and 3. The results are added and subtracted from the basis line to generate the bands. Williams Fractals are included in the plots. The color scheme indicated whether each fractal is engulfing or non-engulfing. Custom bar color scheme is included.
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DonovanWall tarafından
4
Volatility Resonance CandlesVolatility Resonance Candles visualize the dynamic interaction between price acceleration, volatility, and volume energy.
They’re designed to reveal moments when volatility expansion and directional momentum resonate — often preceding strong directional moves or reversals. 🔬 Concept Traditional candles display direction and range, but they miss the energetic structure of volatility itself.
This indicator introduces a resonance model, where ATR ratio, price acceleration, and volume intensity combine to form a composite signal. * ATR Resonance: compares short-term vs. long-term volatility * Acceleration: captures the rate of price change * Volume Energy: reinforces the move’s significance When these components align, the candle color “resonates” — brighter, more intense candles signal stronger volatility–momentum coupling. ⚙️ Features * Adaptive Scaling
Normalizes energy intensity dynamically across a user-defined lookback period, ensuring consistency in changing market conditions. * Power-Law Transformation
Optional non-linear scaling (gamma) emphasizes higher-energy events while keeping low-intensity noise visually subdued. * Divergence Mode
When enabled, colors can invert to highlight energy divergence from candle direction (e.g., bearish pressure during bullish closes). * Customizable Styling
Full control over bullish/bearish base colors, transparency scaling, and threshold sensitivity. 🧠 Interpretation * Bright / High-Intensity Candles → Strong alignment of volatility and directional energy.
Often signals the resonant phase of a move — acceleration backed by volatility expansion and volume participation. * Dim / Low-Intensity Candles → Energy dispersion or consolidation.
These typically mark quiet zones, pauses, or inefficient volatility. * Opposite-Colored Candles (if divergence mode on) → Potential inflection zones or hidden stress in the trend structure. ⚠️ Disclaimer This script is for educational purposes only.
It does not constitute financial advice, and past performance is not indicative of future results. Always do your own research and test strategies before making trading decisions.
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BreakoutBarbie tarafından
2ATR / Close %Certainly. Here is the English version of the indicator description you requested. --- ### **2ATR Stop-Loss Ratio** This indicator provides a straightforward calculation of **what percentage a 2ATR (Average True Range) move represents relative to the current price**. It's a specialized tool designed to help traders set dynamic, volatility-based stop-loss levels. --- ### **Purpose of the Indicator** Many traders use a **2ATR** as their standard for setting a stop-loss, believing it's a good measure of a stock's typical movement. However, it can be difficult to quickly determine the exact percentage a 2ATR drop represents from the current price. This indicator solves that problem by giving you a clear, single number that shows the **anticipated percentage loss before you even enter a position**. --- ### **How It Works** The indicator is calculated using a simple formula: **(2 * ATR(20) / Current Price) * 100** * `ATR(20)`: The Average True Range over the last 20 periods. This period can be customized in the indicator's settings. * `Current Price`: The closing price at the time of calculation. --- ### **How to Use It** * **Assess Risk**: A higher number on the indicator means greater volatility, indicating a wider stop-loss range. * **Set a Stop-Loss**: If the indicator shows **3%**, it means a 2ATR move is roughly a 3% change from the current price. This gives you a clear understanding of the potential loss. * **Adjust Position Size**: If the potential percentage loss is larger than you're comfortable with, you can use this information to reduce your position size, effectively managing your risk. This tool is especially useful for trading highly volatile stocks, as it helps you establish a clear and effective risk management strategy.
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freegor919 tarafından
1
CTA-min D1 — Donchian 55/20 Trend Breakout (ATR Risk)What it is A clean, daily trend-following breakout inspired by classic CTA/Turtle logic. It buys strength and sells weakness, then lets winners run with a channel-based trailing stop. No curve-fitting, no clutter—just rules. How it trades Timeframe: Daily (D1) Entry: Close breaks the previous 55-bar Donchian channel (above for longs, below for shorts). Exit/Trail: Trailing stop at the 20-bar Donchian channel on the opposite side (no fixed TP). Risk: Initial stop = ATR(N) × stopMult (ATR is smoothed). Position size risks riskPct% of equity based on stop distance. Labels: “BUY/SELL” only on the entry bar; “STOP BUY/STOP SELL” only on the exit bar. Pyramiding: Off (one position at a time). Regime Alignment with EMAs (recommended filter, not enforced by code) Add EMA 50 and EMA 200 to the D1 chart. Long bias: take BUY signals only when EMA50 > EMA200 (bullish regime). Short bias: take SELL signals only when EMA50 < EMA200 (bearish regime). Optional: for extra selectivity, require the H4 EMAs (50/200) to align with D1 before acting on a signal. Inputs entryN (55), exitN (20), atrLen (20), atrSmooth (10), stopMult (2.0), riskPct (0.5%–1.0% recommended). Works well on (tested by user) BTCUSD (Bitcoin), EURUSD, GBPJPY, NAS100/US100, USDJPY, AUDUSD, XAGUSD (Silver), US30 (Dow), JP225 (Nikkei), EURGBP, NZDUSD, EURCHF, USDCHF. How to use Apply to D1 charts. Review once per day after the daily close and execute next session open to mirror backtest assumptions. Best used as a portfolio strategy across multiple uncorrelated markets. Use the EMA alignment above as a discretionary regime filter to reduce false breakouts. Notes For educational use. Markets involve risk; past performance does not guarantee future results. Use responsible position sizing.
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fausto-soldatelli tarafından
Time-Price Velocity [QuantAlgo]🟢 Overview The Time-Price Velocity indicator uses advanced velocity-based analysis to measure the rate of price change normalized against typical market movement, creating a dynamic momentum oscillator that identifies market acceleration patterns and momentum shifts. Unlike traditional momentum indicators that focus solely on price change magnitude, this indicator incorporates time-weighted displacement calculations and ATR normalization to create a sophisticated velocity measurement system that adapts to varying market volatility conditions. This indicator displays a velocity signal line that oscillates around zero, with positive values indicating upward price velocity and negative values indicating downward price velocity. The signal incorporates acceleration background columns and statistical normalization to help traders identify momentum shifts and potential reversal or continuation opportunities across different timeframes and asset classes. 🟢 How It Works The indicator's key insight lies in its time-price velocity calculation system, where velocity is measured using the fundamental physics formula: velocity = priceChange / timeWeight The system normalizes this raw velocity against typical price movement using Average True Range (ATR) to create market-adjusted readings: normalizedVelocity = typicalMove > 0 ? velocity / typicalMove : 0 where "typicalMove = ta.atr(lookback)" provides the baseline for normal price movement over the specified lookback period. The Time-Price Velocity indicator calculation combines multiple sophisticated components. First, it calculates acceleration as the change in velocity over time: acceleration = normalizedVelocity - normalizedVelocity Then, the signal generation applies EMA smoothing to reduce noise while preserving responsiveness: signal = ta.ema(normalizedVelocity, smooth) This creates a velocity-based momentum indicator that combines price displacement analysis with statistical normalization, providing traders with both directional signals and acceleration insights for enhanced market timing. 🟢 How to Use 1. Signal Interpretation and Threshold Zones Positive Values (Above Zero): Time-price velocity indicating bullish momentum with upward price displacement relative to normalized baseline Negative Values (Below Zero): Time-price velocity indicating bearish momentum with downward price displacement relative to normalized baseline Zero Line Crosses: Velocity transitions between bullish and bearish regimes, indicating potential trend changes or momentum shifts Upper Threshold Zone: Area above positive threshold (default 1.0) indicating strong bullish velocity and potential reversal point Lower Threshold Zone: Area below negative threshold (default -1.0) indicating strong bearish velocity and potential reversal point 2. Acceleration Analysis and Visual Features Acceleration Columns: Background histogram showing velocity acceleration (the rate of change of velocity), with green columns indicating accelerating velocity and red columns indicating decelerating velocity. The interpretation depends on trend context: red columns in downtrends indicate strengthening bearish momentum, while red columns in uptrends indicate weakening bullish momentum Acceleration Column Height: The height of each column represents the magnitude of acceleration, with taller columns indicating stronger acceleration or deceleration forces Bar Coloring: Optional price bar coloring matches velocity direction for immediate visual trend confirmation Info Table: Real-time display of current velocity and acceleration values with trend arrows and change indicators 3. Additional Features: Confirmed vs Live Data: Toggle between confirmed (closed) bar analysis for stable signals or current bar inclusion for real-time updates Multi-timeframe Adaptability: Velocity normalization ensures consistent readings across different chart timeframes and asset volatilities Alert System: Built-in alerts for threshold crossovers and direction changes 🟢 Examples with Preconfigured Settings Default : Balanced configuration suitable for most timeframes and general trading applications, providing optimal balance between sensitivity and noise filtering for medium-term analysis. Scalping : High sensitivity setup with shorter lookback period and reduced smoothing for ultra-short-term trades on 1-15 minute charts, optimized for capturing rapid momentum shifts and frequent trading opportunities. Swing Trading : Extended lookback period with enhanced smoothing and higher threshold for multi-day positions, designed to filter market noise while capturing significant momentum moves on 1-4 hour and daily timeframes.
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QuantAlgo tarafından
5
Fibonacci Range Detector ║ BullVision🔬 Overview The Fibonacci Range Mapper is a dynamic technical tool designed to identify, track, and visualize price ranges using Fibonacci levels. Whether you're trading manually or prefer automated structure recognition, this indicator helps you contextualize market moves and locate key price zones with precision. ⚙️ Core Logic 🔍 Range Detection (Auto & Manual Modes) In Auto mode, the indicator uses an advanced ZigZag system based on ATR or percentage thresholds to confirm market swings and construct Fibonacci-based ranges. In Manual mode, traders can define their own swing low and high to generate precise custom ranges. 📐 Fibonacci Mapping Each detected range is automatically plotted with key Fibonacci retracement levels — 0%, 25%, 50%, 75%, 100% — along with optional extensions (127.2% and 161.8%) to anticipate price continuations or reversals. 📋 Live Data Table An integrated info panel dynamically displays crucial metrics: • Range size • Current price zone (Discount / Mid / Premium) • Position within range (%) • Distance to range extremes • Range status (Pending or Confirmed) 🕰️ Historical Memory Up to 20 past ranges can be stored and visualized simultaneously, helping traders recognize repeated price behaviors and contextual support/resistance levels. 🎨 Visual Highlights Zones of interest (0–25% = Discount, 75–100% = Premium) are color-coded with custom transparency, and labels can be toggled for clarity. The current active range updates in real time as structure evolves. 🔧 User Customization • Detection Method: Choose between ATR or % ZigZag for automated swing identification • Confirmation Delay: Set how many bars to wait before confirming a new high • Manual Overrides: Select exact price levels when you want full control • Extensions & Labels: Toggle additional lines and info to suit your charting style • Visual Table Position: Customize where the data table appears on screen • Color Scheme: Define your own zone gradients for better visual interpretation 📈 Use Cases This indicator is ideal for traders who want to: • Identify value zones within local or macro price structures • Plan trades around Fibonacci retracement and extension levels • Detect shifts in market structure using an adaptive ZigZag logic • Track recurring price ranges and historical reaction points • Enhance technical confluence with clean, visual price mapping ⚠️ Important Notes This tool is not a buy/sell signal generator — it is a visual framework for structure-based analysis. Use it in conjunction with your existing strategy and risk management process. Always confirm with broader context and multi-timeframe alignment.
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BullVisionCapital tarafından
PRO Investing - Apex EnginePRO Investing - Apex Engine 1. Core Concept: Why Does This Indicator Exist? Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static. The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action. This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines: Volatility analysis (ATR) to generate adaptive lookback periods. Momentum measurement (ROC) to gauge the speed of price changes. Statistical analysis (Correlation) to validate which momentum measurement is most effective right now. Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions. The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal. 2. How It Works: The Engine's Three-Stage Process To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal. Stage 1: Adapt (Dynamic Length Calculation) The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len. Stage 2: Validate (Self-Optimizing Mode Selection) This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard. Stage 3: Signal (Normalized Velocity Oscillator) The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light. 3. How to Use the Indicator: A Practical Guide Reading the Visuals: Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow). Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals. Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align. Background Color (Green/Red/Gray): This is your trend context. Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear. Red: Bearish trend confirmed. Only Sell signals (▼) can appear. Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out. Trading Strategy Example: Wait for a colored background. A green or red background indicates the market is in a tradable trend. Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear. Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns). Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears. 4. Settings and Customization This script is open-source, and its settings are transparent. You are encouraged to understand them. Synaptic Engine Group: Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable. Optimization Lookback: How many bars to use for the correlation check. Switch Sensitivity: A buffer to prevent frantic switching between modes. Advanced Configuration & Filters Group: Price Source: The data source for momentum calculation (default close). Trend Filter MA Type & Length: Define your long-term trend. Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA. ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold. 5. Important Disclaimer This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
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PRO-Investing tarafından