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Market Sessions Indicator by NomadTradesCustomisable Market session indicator This indicator visually marks the high and low price levels for the Asia, London, and New York trading sessions directly on the chart, using distinct horizontal lines and color-coding for each session. Each session’s high and low are labelled for easy identification, allowing traders to quickly assess key support and resistance levels established during major global market hours. The indicator is designed for clear session demarcation, helping users identify price reactions at these significant levels and supporting multi-session analysis for intraday and swing trading strategies
Penunjuk Pine Script®
oleh NomadTrades96
X-Day Capital Efficiency ScoreThis indicator helps identify the Most Profitable Movers for Your fixed Capital (ie, which assets offer the best average intraday profit potential for a fixed capital). Unlike traditional volatility indicators (like ATR or % change), this script calculates how much real dollar profit you could have made each day over a custom lookback period — assuming you deployed your full capital into that ticker daily. How it works: Calculates the daily intraday range (high − low) Filters for clean candles (where body > 60% of the candle range) Assumes you invested the full amount of capital ($100K set as default) on each valid day Computes an average daily profit score based on price action over the selected period (default set to 20 days) Plots the score in dollars — higher = more efficient use of capital Why It’s Useful: Compare tickers based on real dollar return potential — not just % volatility Spot low-priced, high-volatility stocks that are better suited for intraday or momentum trading Inputs: Capital ($): Amount you're hypothetically deploying (e.g., 100,000) Look Back Period: Number of past days to average over (e.g., 20)
Penunjuk Pine Script®
oleh FYMDGLV
Zimpact Custom ColorsZimpact Custom Colors – Buy/Sell Signals with Personalized Styling Description: This script is an enhanced version of the Zimpact indicator, designed to deliver clear Buy and Sell signals with the added flexibility of customizable line and background colors. The indicator combines two variants of the Hull Moving Average (HMA and a modified HMA) to detect trend changes and provide visually intuitive trading cues. Key Features: Dynamic line coloring: Lines automatically change color depending on trend direction (up/down). Customizable colors: Users can set their own line colors and background transparency. Clear Buy/Sell signals: Label markers highlight crossover points for potential entries. Built-in alerts: Receive alerts when Buy or Sell signals are triggered. How the Indicator Works: Two HMAs are calculated: a standard and a modified version. A Buy signal appears when the modified HMA crosses above the standard HMA. A Sell signal appears when the modified HMA crosses below the standard HMA. Line and background colors adapt dynamically to trend direction. All visual elements can be adjusted via user input settings. Adjustable Inputs: Price source (hl2, close, etc.) Period and shift for HMA calculations Toggle Buy/Sell labels on or off Colors for bullish and bearish trends Background fill transparency (0% to 100%) Who It's For: This indicator is ideal for swing and intraday traders seeking a visually simple yet informative tool for trend detection and trade entries. Note: This is not financial advice. Always use additional tools and perform your own analysis before entering a trade.
Penunjuk Pine Script®
oleh Aleksin_Aleksandar
2
Haven Average Daily RangeOverview This indicator is an enhanced version of the traditional ADR tool that adapts to intraday price movements. Unlike static ADR levels, this indicator dynamically adjusts its range boundaries based on real-time price action while maintaining the original ADR calculation framework. Key Features ADR calculation based on multiple periods (5, 10, and 20 days) ADR levels displayed with automatic style changes upon range reach Customizable display settings (color, line style) Price labels for better visualization The indicator helps traders assess the instrument's volatility, identify potential reversal zones, and plan daily trading targets. Suitable for all timeframes up to D1 and any trading instrument. How It Works Session Start (UTC+0): Calculates ADR based on historical data and sets initial High/Low levels Dynamic Phase: Monitors price action and adjusts the opposite boundary (ADR Low or High) when new extremes are reached. When price creates new Day high price above the opening price, the ADR Low level moves upward proportionally. When price creates new Day low price below the opening price, the ADR High level moves downward proportionally. Completion Phase: Stops adjustments and highlights breach when price reaches either boundary Trading Application Entry and Exit Signals The ADR boundaries serve as key decision points for trade execution. When price approaches the upper ADR boundary, it often signals a potential selling zone, particularly when confluence exists with other overbought indicators such as RSI divergence or resistance levels. Conversely, price reaching the lower ADR boundary frequently indicates potential buying opportunities, especially when supported by oversold conditions or support confluences. Trend Continuation Assessment One of the most valuable applications is gauging the probability of continued directional movement. When the current session's price action has not yet reached either ADR boundary, statistical probability favors trend continuation in the established direction. This information helps traders stay with profitable positions longer rather than exiting prematurely. Reversal and Consolidation Zones The visual color change to orange when ADR boundaries are reached provides immediate feedback that the normal daily range has been exhausted. At this point, the probability of trend reversal or sideways consolidation increases significantly. This signal helps traders prepare for potential position adjustments or new counter-trend opportunities.
Penunjuk Pine Script®
oleh dangtunglam14
HOG QQE CandlesHOG QQE Candles 📊 Overview A lightweight overlay that visually reflects RSI/QQE dynamics through color-coded candles. Designed for traders who want quick insight into momentum shifts — without opening a separate oscillator panel. ⚙️ How It Works • Calculates smoothed RSI using QQE-style EMA • Colors candles green for Overbought (OB), red for Oversold (OS) • Colors candles blue on midline cross up (bullish), orange on cross down (bearish) • OB/OS levels and midline signals are fully configurable • Optional toggle for highlighting midline crosses 🎯 Inputs • RSI Length • QQE Smoothing • Overbought / Oversold Levels • Toggle: Show Midline Cross Highlights • Toggle: Color OB/OS Candles ✅ Benefits • No subwindow clutter — signals directly on price • Clear OB/OS candles help identify exhaustion • Midline color shifts reveal fresh momentum early • Makes RSI/QQE readable at a glance • Works great as a visual enhancer for trend or volume-based systems 📈 Use Cases • Spot trend exhaustion during strong moves • Confirm entry/exit with RSI midline cross • Layer with trend overlays (e.g., EMAs, Supertrend) • Ideal for minimal or clean chart setups ⚠️ Notes • Candle color precedence: Midline cross > OB/OS • Signal strength varies by timeframe and asset • Best used as a visual companion, not standalone entry trigger
Penunjuk Pine Script®
oleh Houseofgain
GCM Price Based ColorIndicator Name: GCM Price Based Color Indicator Detailed Description: The GCM Price Based Color Indicator is a unique tool designed to help traders spot potential "pump" events in the market. Unlike traditional Volume Rate of Change (VROC) indicators, this script is conditional: it calculates a VROC value only when both the average volume and the price are increasing. This focus helps filter out volume surges that don't accompany immediate price appreciation, highlighting more relevant "pump" signals. Key Features & Calculation Logic: Conditional Volume Rate of Change (VROC): It first calculates a Simple Moving Average (SMA) of the volume over a user-defined length (lookback period). It then checks two conditions: Is the current SMA volume greater than the previous bar's SMA volume (i.e., volumeIncreasing)? Is the current close price greater than the previous bar's close price (i.e., valueIncreasing)? Only if both volume Increasing AND value Increasing are true, a VROC value is calculated as (current _ MA _ volume - previous _ MA _ volume) * (100 / previous _ MA _ volume). Otherwise, the VROC for that bar is 0. Historical Normalization: The raw VROC value is then normalized against its own historical maximum value observed since the indicator was applied. This scaling brings all VROC values into a common 0-100 range. Why is this important? Normalization makes the indicator's readings comparable across different assets (e.g., high-volume vs. low-volume stocks/cryptos) and different timeframes, making it easier to interpret the strength of a "pump" relative to its own past. Dynamic Plot Color (Price-Based): The plot line's color itself provides an immediate visual cue about the current bar's price action: Green: close is greater than close (price is up for the current bar). Red: close is less than close (price is down for the current bar). Grey: close is equal to close (price is flat for the current bar). Important Note: The plot color reflects the price movement of the current bar, not the magnitude of the VROC Normalized value itself. This means you can have a high vrocNormalized value (indicating a strong conditional volume surge) but a red plot color if the very next bar's price closes lower, providing a multi-faceted view. Thresholds & Alerts: Two horizontal lines (small Pump Threshold and big Pump Threshold) are plotted to visually mark significant levels of normalized pump strength. Customizable alerts can be set up to notify you when VROC Normalized reaches or exceeds these thresholds, helping you catch potential pump events in real-time. How to Use It: Identify Potential Pumps: Look for upward spikes in the VROC Normalized line. Higher spikes indicate stronger pump signals (i.e., a larger increase in average volume coinciding with an increasing price). Monitor Thresholds: Pay attention when the VROC Normalized line crosses above your small Pump Threshold or big Pump Threshold. These are configurable levels to suit different assets and trading styles. Observe Plot Color: The line color provides crucial context. A high VROC Normalized (strong pump signal) with a green line indicates current price momentum is still positive. If VROC Normalized is high but the line turns red, it might suggest the initial pump is losing steam or experiencing a pullback. Combine with Other Tools: This indicator is best used in conjunction with other technical analysis tools (e.g., support/resistance, trend lines, other momentum indicators) for confirmation and a more holistic trading strategy. Indicator Inputs: Lookback period (1 - 4999) (default: 420): This length determines the period for the Simple Moving Average (SMA) of volume. A higher value will smooth the volume average more, reacting slower, while a lower value will make it more reactive. Adjust based on the timeframe and asset volatility. Big Pump Threshold (0.01 - 99.99) (default: 10.0): The normalized VROC Normalized level that signifies a "Big Pump." When VROC Normalized reaches or exceeds this level, an alert can be triggered. Small Pump Threshold (0.01 - 99.99) (default: 0.5): The normalized VROC Normalized level that signifies a "Small Pump." This is a lower threshold for earlier or less significant pump activity. Alerts: Small Pump: Triggers when VROC Normalized crosses above or equals the small Pump Threshold. Big Pump: Triggers when VROC Normalized crosses above or equals the big Pump Threshold. Best Practices & Considerations: Timeframes: The indicator can be used on various timeframes, but its effectiveness may vary. Experiment to find what works best for your chosen asset and trading style. Volatility: Highly volatile assets might require different threshold settings compared to less volatile ones. Lag: Due to the use of a Simple Moving Average (SMA) for volume, there will be some inherent lag in the calculation. Normalization Start: The historic Max for normalization starts with a default value of 10.0. For the very first bars, or if there hasn't been a significant VROC yet, the VROC Normalized might behave differently until a true historical maximum VROC establishes itself. Not Financial Advice: This indicator is a tool for analysis and does not constitute financial advice. Always perform your own research and manage your risk.
Penunjuk Pine Script®
oleh uniGram
HOG Liquidity ZonesHOG Liquidity Zones (Swings & Sweeps) 📊 Overview A precision tool for visualizing key liquidity zones formed by swing highs and lows. It tracks tap counts, volume strength, and identifies directional sweep targets, giving traders a visual edge in spotting high-probability reaction zones. ⚙️ How It Works • Identifies swing highs/lows using pivot logic • Plots colored zones based on wicks or full ranges • Tracks volume or count of price taps to validate zones • Optional debounce and body-only tap filters • Zones invalidate when fully broken by candle closes • Imbalance zones highlight key displacement gaps • “NEXT” marker shows likely sweep direction 🎯 Inputs • Pivot Lookback Length • Tap Debounce & Body-Only Filters • Filter Type (Tap Count or Volume) • Invalidate on Close Toggle • Imbalance Zone Display • Custom Label Size & Text Size ✅ Benefits • Clearly shows where liquidity pools have formed • Adapts to both structure and trap-based strategies • Tap tracking helps gauge zone strength • Useful for identifying magnets, rejections, and sweeps • Clean, non-intrusive visuals 📈 Use Cases • Target stop hunts or liquidity sweeps • Confirm high-traffic areas before entries • Combine with trend overlays or breakout tools • Trade toward the next “NEXT” target zone ⚠️ Notes • Zones remain active until invalidated or swept • Tap logic can be customized for conservative or aggressive bias • Imbalance boxes are optional and highlight displacement candles • This tool is for visual context — not a signal engine
Penunjuk Pine Script®
oleh Houseofgain
5
Turtle 2.0 – Backtest Strategy for Trend ConfirmationA simple backtesting tool for traders who want to test and understand their own ideas. This is not a signal provider. Not a finished system. Not financial advice. Purpose of this Script This strategy is not intended for live trading, but rather as an analytical and educational tool. It is based on a simplified, trend-following Turtle-style logic and helps you explore the question: “When does a strategy work – and when does it fail?” I (Tom) am not a professional trader myself, but someone who is between beginner and intermediate. This tool helps me (and hopefully you too) think more systematically and back up (or challenge) my own ideas. Core Idea Most trading strategies only work under certain market conditions. This script helps you analyze: – Does your logic work better in clear trends? – Do trend filters help – and when do they hurt? – How do sideways phases affect performance? – Is your setup robust across different timeframes and assets? Adjustable Settings The script is designed to be flexible. In the settings panel, you can configure: • Enable EMA trend filter – Activate or deactivate trend filtering • EMA 1–4 – Length of exponential moving averages (e.g. 21, 50, etc.) • Show pivots – Display local highs and lows as reference • Pivot length – Number of candles to each side to define a pivot • Show signals – Enable or disable signal visualization All parameters can be adjusted directly in the TradingView settings menu. If You Decide to Trade with It (Not Recommended) If you still want to test this strategy with real trading, please consider: Always analyze market context (trend, volatility, news) Use your own stop-loss and take-profit logic Avoid choppy or sideways markets Test across different timeframes and instruments Combine it with volume, support/resistance, or candlestick patterns Note: The script is non-repainting – signals are shown only after the bar is closed. Possible Use Cases – Only show signals in trend phases – Analyze: When does your setup perform well or poorly? – Review “what-if” scenarios – Base for experimentation and further development Feedback Welcome If you have ideas, questions, or suggestions – feel free to reach out. I'd love to hear your thoughts or see how you use or modify the script. Background & Development This script was initially inspired by publicly available code from parsimaj. It was completely rewritten, modernized, documented, and customized to my own requirements. The goal was to create a simple, robust, and flexible learning and testing tool. License & Disclaimer – No guarantee of profitability. Not financial advice. – Use at your own risk. Educational and analytical use only. Author: Tom & ChatGPT Version: Turtle 2.0 – Backtest Edition Platform: TradingView – Pine Script v5
Strategi Pine Script®
oleh Finanz-Nerd
1
Linear Regression Forecast (ADX Adaptive)Linear Regression Forecast (ADX Adaptive) This indicator is a dynamic price projection tool that combines multiple linear regression forecasts into a single, adaptive forecast curve. By integrating trend strength via the ADX and directional bias, it aims to visualize how price might evolve in different market environments—from strong trends to mean-reverting conditions. Core Concept: This tool builds forward price projections based on a blend of linear regression models with varying lookback lengths (from 2 up to a user-defined max). It then adjusts those projections using two key mechanisms: ADX-Weighted Forecast Blending In trending conditions (high ADX), the model follows the raw forecast direction. In ranging markets (low ADX), the forecast flips or reverts, biasing toward mean-reversion. A logistic transformation of directional bias, controlled by a steepness parameter, determines how aggressively this blending reacts to price behavior. Volatility Scaling The forecast’s magnitude is scaled based on ADX and directional conviction. When trends are unclear (low ADX or neutral bias), the projection range expands to reflect greater uncertainty and volatility. How It Works: Regression Curve Generation For each regression length from 2 to maxLength, a forward projection is calculated using least-squares linear regression on the selected price source. These forecasts are extrapolated into the future. Directional Bias Calculation The forecasted points are analyzed to determine a normalized bias value in the range -1 to +1, where +1 means strongly bullish, -1 means strongly bearish, and 0 means neutral. Logistic Bias Transformation The raw bias is passed through a logistic sigmoid function, with a user-defined steepness. This creates a probability-like weight that favors either following or reversing the forecast depending on market context. ADX-Based Weighting ADX determines the weighting between trend-following and mean-reversion modes. Below ADX 20, the model favors mean-reversion. Above 25, it favors trend-following. Between 20 and 25, it linearly blends the two. Blended Forecast Curve Each forecast point is blended between trend-following and mean-reverting values, scaled for volatility. What You See: Forecast Lines: Projected future price paths drawn in green or red depending on direction. Bias Plot: A separate plot showing post-blend directional bias as a percentage, where +100 is strongly bullish and -100 is strongly bearish. Neutral Line: A dashed horizontal line at 0 percent bias to indicate neutrality. User Inputs: -Max Regression Length -Price Source -Line Width -Bias Steepness -ADX Length and Smoothing Use Cases: Visualize expected price direction under different trend conditions Adjust trading behavior depending on trending vs ranging markets Combine with other tools for deeper analysis Important Notes: This indicator is for visualization and analysis only. It does not provide buy or sell signals and should not be used in isolation. It makes assumptions based on historical price action and should be interpreted with market context.
Penunjuk Pine Script®
oleh Tradenometry
Smart Entry System//@version=5 indicator("Smart Entry System", overlay=true) // ── Inputs ── len = input.int(20, title="Structure Lookback") // ── Market Structure Shift ── mssBuy = low < ta.lowest(low, len) and high > ta.highest(high, len) mssSell = high > ta.highest(high, len) and low < ta.lowest(low, len) // ── Fair Value Gap ── fvgUp = low > high and low > high fvgDown = high < low and high < low // ── Breaker Block ── breakerBuy = close > open and close < open and close > open breakerSell = close < open and close > open and close < open // ── Inversion Point ── inversionBuy = close > high and close < high inversionSell = close < low and close > low // ── Fibonacci Levels ── var float fibHigh = na var float fibLow = na if mssBuy fibLow := low fibHigh := ta.highest(high, len) else if mssSell fibHigh := high fibLow := ta.lowest(low, len) // Avoid plotting if values are not ready validFib = not na(fibHigh) and not na(fibLow) fib38 = validFib ? fibHigh - (fibHigh - fibLow) * 0.382 : na fib61 = validFib ? fibHigh - (fibHigh - fibLow) * 0.618 : na plot(fib38, title="Fib 38.2%", color=color.gray, linewidth=1) plot(fib61, title="Fib 61.8%", color=color.gray, linewidth=1) // ── Entry Conditions ── buyEntry = mssBuy and fvgUp and breakerBuy and inversionBuy and close < fib61 sellEntry = mssSell and fvgDown and breakerSell and inversionSell and close > fib38 // ── Entry Plot ── plotshape(buyEntry, title="Buy Entry", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellEntry, title="Sell Entry", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
Penunjuk Pine Script®
oleh ghousia52
PMZ's Triple Filter Trend Strategy {Darkoexe}This strategy is a rule-based trend and momentum trading system that combines three unique technical models into a single composite engine. It’s designed for traders who prefer well-filtered entries, limited noise, and clear trade structure. 🔍 Core Logic PMZ’s Composite Strategy integrates the following systems: ✅ 1. ASO (Advanced Sentiment Oscillator) Measures bullish vs. bearish dominance using custom formulas that blend intrabar pressure with group-range dynamics. Three calculation modes give flexibility in emphasis. ✅ 2. SSL Channel A classic trend-following method based on moving averages of highs and lows. It helps filter out false signals and align trades with broader market direction. ✅ 3. MBI (Momentum Breakout Indicator) Looks for breakouts above/below recent extremes. It acts as the final trigger mechanism when other filters are aligned. Trades are only taken when: A fresh ASO/SSL trend agreement occurs A MBI breakout happens in the same direction A recent crossover (bullish or bearish) confirms the signal ⚙️ Strategy Settings Backtesting Toggle – Define start and end time for historical testing. Take Profit / Stop Loss via ATR – Risk-managed exits using user-defined ATR multipliers. No Reentries – The strategy waits until the current trade is closed before opening a new one (no overlapping trades). 📊 How It Works 🟢 Long Entry: Triggered when all 3 modules turn bullish together, with confirmation from an ASO trend crossover. 🔴 Short Entry: Triggered when all 3 modules align bearish. 📉 Stop Loss / Take Profit: Calculated dynamically using ATR to adapt to volatility. 🔧 Customizable Inputs ASO Period & Method SSL Moving Average Period MBI Breakout Lookback ATR period + TP/SL Ratios Backtest Date Range Controls 🛑 Disclaimer This strategy is a technical tool and not financial advice. Past performance is not indicative of future results. Always forward test and evaluate performance in live or paper environments before trading with real capital.
Strategi Pine Script®
oleh Darkoexe