Auf geht's

Trendanalyse

TQ's Support & Resistance(My goal creating this indicator): Provide a way to categorize and label key structures on multiple different levels so I can create a plan based on those observable facts. The Underlying Concept / What is Momentum? Momentum indicates transaction pressure. If the algorithm detects price is going up, that would be considered positive momentum. If the algorithm detects price is going down negative momentum would be detected. The Momentum shown is derived from a price action pattern. Unlike my previous Support & Resistance indicator that used Super Trend, this indicator uses a unique pattern I created. On the first bar bearish momentum is detected a resistance Level is made at the highest point of the previous bullish condition. On the first bar bullish momentum is detected a support Level is made at the lowest point of the previous bearish condition. This happens on 5 different Momentum Levels, (short-term to long-term). I currently use this pattern to trade so the source code is protected. What is Severity? Severity is How we differentiate the importance of different Highs and Lows. If Momentum is detected on a higher level the Supply or Demand Level is updated. The Color and Size representing that Level will be shown. Demand and Supply Levels made by higher levels are more SEVERE than a demand level made by a lower level. Technical Inputs - to ensure the correct calculation of Support and Resistance levels change BAR_INDEX. BAR_INDEX creates a buffer at the start of the chart. For example: If you set BAR_INDEX to 300. The script will wait for 300 bars to elapse on the current chart before running. This allows the script more time to gather data. Which is needed in order for our dynamic lookback length to never return an error (Dynamic lookback length can't be negative or zero). The lower the timeframe the greater the number of bars need. For Example, if I open up a 1min chart I would enter 5000 as my BAR_INDEX since that will provide enough data to ensure the correct calculation of Support and Resistance levels. If I was on a daily chart, I would enter a lower number such as 800. Don't be afraid to play around with this. - Toggle options (Close) or (High & Low) creates Support and Resistance Levels using the Lowest close and Highest close or using the Lowest low and Highest high. Level Inputs - The indicator has 5 Different Levels indicating SEVEREITY of a Supply and Demand Levels. The higher the Level the more SEVERE the Level. Display Inputs - You have the option to customize the Length, Width, Line Style, and Colors of all 5 different - This indicator includes a Trend Chart. To Easily verify the current trend of any displayed by this indicator toggle on Chart On/Off. You also get the option to change the Chart Position and the size of the Trend Chart How Trend Is being Determined? (Close > Current Supply Level) if this statement is true technically price made a HH, so the trend is bullish. (Close < Current Demand Level) if this statement is true technically price made a LL, so the trend is bearish. - Fully customize how you display Market Structure on different levels. Line Length, Line Width, Line Style, and Line color can all be customized. How it can be used? (Examples of Different ways you can use this indicator): Easily categorize the severity of each and every Supply or Demand Level in the market (The higher Level the stronger the level) : Quickly Determine the trend of any Level. : Get a consistent view of a market and how different Levels are behaving but just use one chart. : Take the discretion from hand drawing support and resistance lines out of your trading. : Find and categorize strong levels for potential breakouts. : Trend Analysis, use Levels to create a narrative based on observable facts from these Levels. : Different Targets to take money off the table. : Use Severity to differentiate between different trend line setups. : Find Great places to move your stop loss too.
Pine Script® Indikator
von Who7is7Like7God
2
P-Motion Trend | QuantEdgeB⚡ Introducing P-Motion Trend (PMT) by QuantEdgeB 🧭 Overview P-Motion Trend is a refined trend-following framework built for modern market dynamics. It combines DEMA filtering, percentile-based smoothing, and volatility-adjusted envelopes to create a clear, noise-filtered trend map directly on your chart. This overlay indicator is engineered to detect breakout zones, trend continuation setups, and market regime shifts with maximum clarity and minimum lag. Whether you're swing trading crypto, managing intraday FX moves, or positioning in equities — P-Motion Trend adapts, aligns, and simplifies. 🧠 Core Logic 1️⃣ DEMA Filtering Core The input source is processed through a Double EMA to reduce lag while retaining trend sensitivity. 2️⃣ Percentile Median Smoothing To eliminate short-lived spikes, the DEMA output is passed through a percentile median rank — effectively smoothing without distortion. 3️⃣ Volatility Envelope with EMA Basis An exponential moving average (EMA) is applied to the smoothed median, and standard deviation bands are wrapped around it: • ✅ Long Signal → Price closes above the upper band • ❌ Short Signal → Price closes below the lower band • ➖ Inside Band = Neutral These bands expand/contract with market volatility — protecting against false breakouts in quiet regimes and adapting quickly to strong moves. 📊 Visual & Analytical Layers • 🎯 Bar Coloring: Color-coded candles highlight trend state at a glance. • 📈 EMA Ribbon Overlay: A dynamic ribbon of EMAs helps confirm internal momentum and detect transitions (trend decay or acceleration). • 🔹Gradient Fill Zones: Visually communicates squeeze vs. expansion phases based on band width. ⚙️ Custom Settings • EMA Length – Defines the core trend path (default: 21) • SD Length – Controls volatility band smoothing (default: 30) • SD Mult Up/Down – Sets thresholds for breakout confirmation (default: 1.5) • DEMA Filter Source – Raw input used for trend processing • DEMA Filter Length – Sets DEMA smoothing (default: 7) • Median Length – Percentile-based smoothing window (default: 2) 📌 Use Cases ✅ Trend Confirmation Use PMT to confirm whether the price action is structurally valid for trend continuation. A close above the upper band signals entry alignment. 🛡️ Reversal Guard Avoid early reversion entries. PMT keeps you in-trend until price truly breaks structure. 🔍 Momentum Visualizer With multiple EMA bands, the indicator also functions as a momentum envelope to spot divergence between price and smoothed trend flow. 🔚 Conclusion P-Motion Trend is a hybrid volatility + trend system built with precision smoothing, dynamic filtering, and clean visual output. It balances agility with stability, helping you: • Filter out price noise • Enter with structure • Stay in trades longer • Exit with confidence 🧩 Summary of Benefits • 🔹 Lag-minimized trend structure via DEMA core • 🔹 Real-time volatility band adaptation • 🔹 Gradient visual feedback on compression/expansion • 🔹 EMA ribbon assists in phase detection • 🔹 Suitable for all markets & timeframes 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
2
Pivot Clouds [SS]Hey everyone, Whopper indicator here that I have been working on for some time, excited to finally release it! So let's get into it! ☁️☁️ What are Pivot Clouds?! ☁️☁️ The concept for pivot clouds came from trailing and erroring different iterations of support and resistance (which ultimately led to the creation of the BIN Based Support and Resistance indicator). In the design and creation of my BIN support and resistance indicator, I initially tried to do something similar with pivot points. However, I found pivots to be relatively ineffective as support and resistance, especially in very trendy markets, and the BIN approach reigned supreme. However, not wanting to abandon the utility of pivots, I tried something different, creating a pivot based SMA. This proved most useful and very helpful for determining directions, rejections and trends! From there, came this indicator, the Pivot Clouds. This is currently iteration 32 haha, which will be the final iteration for the time being and most functional. The pivot cloud indicator works by smoothing pivot highs and pivot lows over the course of your inputted length. My general suggestion is to keep it between 150 to 250. Going to low will make it incredibly choppy. Using 200 seems to be the sweet spot for most tickers. Over the course of the pivot lookback, it collects all pivot highs and pivot lows, then averages them out to create 2 separate SMAs, those being an SMA for the pivot high and an SMA for the pivot low. Together, these create the cloud you see in the main chart. In addition to creating this cloud, the indicator marks and tracks pivot maxes to both the upside and downside and will draw cloud support on a fall below the main cloud and cloud resistance on a rise above the main cloud, as exampled here: Above: And Below: These clouds represent the average of the pivot high/pivot low and extend to the max or min (high or low depending on position on the main cloud). 💡 Alternative Abilities 💡 Resulting from the sometimes inadequacy of pivots to determine targets and resistance/support, the indicator is capable of pulling in ATR target prices. This allows the user to either use both, pivot max/min clouds AND ATR targets, or simply one or the other. The ATR targets can be customized in the indicator settings, with a default of daily timeframe targets on a 14 ATR lookback. Here are some examples of how the ATR targets look: And to the upside: 📈 Standalone Strategy 📈 This indicator can be used as a standalone strategy, or to complement other strategies. I will go over both briefly, starting with standalone strategy: Select your target preference (ATR, Pivot Maxes and Mins or both) Long on a break and hold over the main cloud to the targets; or Shrot on a break below the main cloud to the targets. That simple! 🎯Supplemental to existing Strategy 🎯 This indicator for me is gold for my strategy, which involves longing or shorting to calculated target prices. You essentially follow the above, only your targets are determined by your strategy. So for me, I look for a rejection or hold of the cloud, to long or short to my targets: 💰Customizing the Indicator 💰 Let's quickly go over these options: Smooth length: Creates a smooth cloud. Suggested limits are 150 - 250 Lookback Length: This determines the length of lookback for the indicator to store historical pivot information and create the clouds. Pivot Lookforward/backward: Allows the user to select custom pivot timeframes. The traditional rule is 10, but 5 sometimes is preferred on larger timeframes. Show Pivot Max and Min: These enables the pivot max and min cloud for a crossover or crossunder of the main cloud. ATR timeframe: determines the ATR target price levels to look for. You can toggle weekly, daily, hourly, whichever you prefer. ATR Length: Allows you to customize the lookback for determining the ATR targets. USE ATR targets: This will turn on / off the ATR targets, if you wish to use/not use these reference points with the indicator, same as with the pivot max and min cloud toggle. And that's the indicator, folks! Hope you like it, Take care and safe trades!🚀
Pine Script® Indikator
von Steversteves
Z SMMA | QuantEdgeB📈 Introducing Z-Score SMMA (Z SMMA) by QuantEdgeB 🛠️ Overview Z SMMA is a momentum-driven oscillator designed to track the standardized deviation of a Smoothed Moving Average (SMMA). By applying Z-score normalization, this tool dynamically adapts to price volatility, enabling traders to detect meaningful directional shifts and trend changes with enhanced clarity. It serves both as a trend-following and mean-reversion system, identifying opportunities through standardized thresholds while remaining robust across volatile and calm market conditions. ✨ Key Features 🔹 Z-Score Normalization Engine Applies Z-score to a custom SMMA baseline, allowing traders to compare price action relative to its recent volatility-adjusted mean. 🔹 Dynamic Trend Detection Generates actionable long/short signals based on customizable Z-thresholds, making it adaptable across different asset classes and timeframes. 🔹 Overbought/Oversold Zones Highlight reversion and profit-taking zones (default OB: +2 to +4, OS: -2 to -4), great for counter-trend or mean-reversion strategies. 🔹 Visual Reinforcement Tools Includes candle coloring, gradient fills, and optional ALMA/EMA band overlays to visualize trend regime transitions. 🔍 How It Works 1️⃣ Z-Score SMMA Calculation The core is a custom Smoothed Moving Average (SMMA) that is normalized by its standard deviation over a lookback period. Final Formula: Z = (SMMA - Mean) / StdDev 2️⃣ Signal Generation • ✅ Long Bias: Z-Score > Long Threshold (default: 0) • ❌ Short Bias: Z-Score < Short Threshold (default: 0) 3️⃣ Visual Aids • Candle Color → Shows trend bias • Band Fills → Highlight trend strength • Overlays → Optional ALMA/EMA bands for structure analysis ⚙️ Custom Settings • SMMA Length → Default: 12 • Z-Score Lookback → Default: 30 • Long Threshold → Default: 0 • Short Threshold → Default: 0 • Color Themes → Choose from 6 visual modes • Extra Plots → Toggle advanced overlays (ALMA, EMA, bands) • Label Display → Show/hide “𝓛𝓸𝓷𝓰” & “𝓢𝓱𝓸𝓻𝓽” markers 👥 Who Should Use It? ✅ Trend Traders → For early entries with confirmation from Z-score expansion ✅ Quantitative Analysts → Standardized deviation enables comparison across assets ✅ Mean-Reversion Traders → Use OB/OS zones to fade parabolic spikes ✅ Swing & Systematic Traders → Identify momentum shifts with optional ALMA/EMA overlays 📌 Conclusion Z SMMA offers a smart, adaptive framework for tracking deviation from equilibrium in a quant-friendly format. Whether you're looking to follow trends or catch exhaustion points, Z SMMA provides a clear, standardized view of momentum and price extremes. 🔹 Key Takeaways: 1️⃣ Z-Score standardization ensures dynamic range awareness 2️⃣ SMMA base filters out noise, offering smoother signals 3️⃣ Color-coded visuals support faster reaction and cleaner charts 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before
Pine Script® Indikator
von QuantEdgeB
Persian expert traderWhat does this indicator provide me with? Calculation of the average daily range over the past X days Display of the total size of the previous day's candle Percentage of the current candle’s size relative to the average range of the past X days Display of how much the market has moved during the day Comparison of daily movement to the average movement over the past X days Display of the Exponential Moving Average (EMA) and its slope to detect ranging or trending conditions Identification of candles with strong bodies and good closes, whose size falls within an acceptable range relative to the average daily range این اندیکاتور چه امکاناتی را در اختیار من قرار می‌دهد؟ محاسبه میانگین رنج روزانه طی X روز گذشته نمایش اندازه کامل کندل روز گذشته محاسبه درصد اندازه کندل نسبت به میانگین رنج X روز گذشته نمایش میزان حرکت بازار در طول روز مقایسه حرکت روزانه با میانگین حرکت در X روز گذشته نمایش میانگین متحرک نمایی (EMA) و شیب آن برای تشخیص حالت رنج یا ترند شناسایی کندل‌هایی با بدنه قوی و کلوز مناسب، که اندازه آن‌ها نسبت به میانگین رنج روزانه در محدوده قابل قبول قرار دارد
Pine Script® Indikator
von fariborzmaleki11
Gaussian Smooth Trend | QuantEdgeB🧠 Introducing Gaussian Smooth Trend (GST) by QuantEdgeB 🛠️ Overview Gaussian Smooth Trend (GST) is an advanced volatility-filtered trend-following system that blends multiple smoothing techniques into a single directional bias tool. It is purpose-built to reduce noise, isolate meaningful price shifts, and deliver early trend detection while dynamically adapting to market volatility. GST leverages the Gaussian filter as its core engine, wrapped in a layered framework of DEMA smoothing, SMMA signal tracking, and standard deviation-based breakout thresholds, producing a powerful toolset for trend confirmation and momentum-based decision-making. 🔍 How It Works 1️⃣ DEMA Smoothing Engine The indicator begins by calculating a Double Exponential Moving Average (DEMA), which provides a responsive and noise-resistant base input for subsequent filtering. 2️⃣ Gaussian Filter A custom Gaussian kernel is applied to the DEMA signal, allowing the system to detect smooth momentum shifts while filtering out short-term volatility. This is especially powerful during low-volume or sideways markets where traditional MAs struggle. 3️⃣ SMMA Layer with Z-Filtering The filtered Gaussian signal is then passed through a custom Smoothed Moving Average (SMMA). A standard deviation envelope is constructed around this SMMA, dynamically expanding/contracting based on market volatility. 4️⃣ Signal Generation • ✅ Long Signal: Price closes above Upper SD Band • ❌ Short Signal: Price closes below Lower SD Band • ➖ No trade: Price stays within the band → market indecision ✨ Key Features 🔹 Multi-Stage Trend Detection Combines DEMA → Gaussian Kernel → SMMA → SD Bands for robust signal integrity across market conditions. 🔹 Gaussian Adaptive Filtering Applies a tunable sigma parameter for the Gaussian kernel, enabling you to fine-tune smoothness vs. responsiveness. 🔹 Volatility-Aware Trend Zones Price must close outside of dynamic SD envelopes to trigger signals — reducing whipsaws and increasing signal quality. 🔹 Dynamic Color-Coded Visualization Candle coloring and band fills reflect live trend state, making the chart intuitive and fast to read. ⚙️ Custom Settings • DEMA Source: Price stream used for smoothing (default: close) • DEMA Length: Period for initial exponential smoothing (default: 7) • Gaussian Length / Sigma: Controls smoothing strength of kernel filter • SMMA Length: Final smoothing layer (default: 12) • SD Length: Lookback period for standard deviation filtering (default: 30) • SD Mult Up / Down: Adjusts distance of upper/lower breakout zones (default: 2.5 / 1.8) • Color Modes: Six distinct color palettes (e.g., Strategy, Warm, Cool) • Signal Labels: Toggle on/off entry markers ("𝓛𝓸𝓷𝓰", "𝓢𝓱𝓸𝓻𝓽") 📌 Trading Applications ✅ Trend-Following → Enter on confirmed breakouts from Gaussian-smoothed volatility zones ✅ Breakout Validation → Use SD bands to avoid false breakouts during chop ✅ Volatility Compression Monitoring → Narrowing bands often precede large directional moves ✅ Overlay-Based Confirmation → Can complement other QuantEdgeB indicators like K-DMI, BMD, or Z-SMMA 📌 Conclusion Gaussian Smooth Trend (GST) delivers a precision-built trend model tailored for modern traders who demand both clarity and control. The layered signal architecture, combined with volatility awareness and Gaussian signal enhancement, ensures accurate entries, clean visualizations, and actionable trend structure — all in real-time. 🔹 Summary Highlights 1️⃣ Multi-stage Smoothing — DEMA → Gaussian → SMMA for deep signal integrity 2️⃣ Volatility-Aware Filtering — SD bands prevent false entries 3️⃣ Visual Trend Mapping — Gradient fills + candle coloring for clean charts 4️⃣ Highly Customizable — Adapt to your timeframe, style, and volatility 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
Quantile DEMA Trend | QuantEdgeB🚀 Introducing Quantile DEMA Trend (QDT) by QuantEdgeB 🛠️ Overview Quantile DEMA Trend (QDT) is an advanced trend-following and momentum detection indicator designed to capture price trends with superior accuracy. Combining DEMA (Double Exponential Moving Average) with SuperTrend and Quantile Filtering, QDT identifies strong trends while maintaining the ability to adapt to various market conditions. Unlike traditional trend indicators, QDT uses percentile filtering to adjust for volatility and provides dynamic thresholds, ensuring consistent signal performance across different assets and timeframes. ✨ Key Features 🔹 Trend Following with Adaptive Sensitivity The DEMA component ensures quicker responses to price changes while reducing lag, offering a real-time reflection of market momentum. 🔹 Volatility-Adjusted Filtering The SuperTrend logic incorporates quantile percentile filters and ATR (Average True Range) multipliers, allowing QDT to adapt to fluctuating market volatility. 🔹 Clear Signal Generation QDT generates clear Long and Short signals using percentile thresholds, effectively identifying trend changes and market reversals. 🔹 Customizable Visual & Signal Settings With multiple color modes and customizable settings, you can easily align the QDT indicator with your trading strategy, whether you're focused on trend-following or volatility adjustments. 📊 How It Works 1️⃣ DEMA Calculation DEMA is used to reduce lag compared to traditional moving averages. It is calculated by applying a Double Exponential Moving Average to price data. This smoother trend-following mechanism ensures responsiveness to market movements without introducing excessive noise. 2️⃣ SuperTrend with Percentile Filtering The SuperTrend component adapts the trend-following signal by incorporating quantile percentile filters. It identifies dynamic support and resistance levels based on historical price data: • Upper Band: Calculated using the 75th percentile + ATR (adjusted with multiplier) • Lower Band: Calculated using the 25th percentile - ATR (adjusted with multiplier) These dynamic bands adjust to market conditions, filtering out noise while identifying the true direction. 3️⃣ Signal Generation • Long Signal: Triggered when price crosses below the SuperTrend Lower Band • Short Signal: Triggered when price crosses above the SuperTrend Upper Band The indicator provides signals with corresponding trend direction based on these crossovers. 👁 Visual & Custom Features • 🎨 Multiple Color Modes: Choose from "Strategy", "Solar", "Warm", "Cool", "Classic", and "Magic" color palettes to match your charting style. • 🏷️ Long/Short Signal Labels: Optional labels for visual cueing when a long or short trend is triggered. • 📉 Bar Color Customization: Bar colors dynamically adjust based on trend direction to visually distinguish the market bias. 👥 Who Should Use QDT? ✅ Trend Followers: Use QDT as a dynamic tool to confirm trends and capture profits in trending markets. ✅ Swing Traders: Use QDT to time entries based on confirmed breakouts or breakdowns. ✅ Volatility Traders: Identify market exhaustion or expansion points, especially during volatile periods. ✅ Systematic & Quant Traders: Integrate QDT into algorithmic strategies to enhance market detection with adaptive filtering. ⚙️ Customization & Default Settings - DEMA Length(30): Controls the lookback period for DEMA calculation - Percentile Length(10): Sets the lookback period for percentile filtering - ATR Length(14): Defines the length for calculating ATR (used in SuperTrend) - ATR Multiplier(1.2 ): Multiplier for ATR in SuperTrend calculation - SuperTrend Length(30):Defines the length for SuperTrend calculations 📌 How to Use QDT in Trading 1️⃣ Trend-Following Strategy ✔ Enter Long positions when QDT signals a bullish breakout (price crosses below the SuperTrend lower band). ✔ Enter Short positions when QDT signals a bearish breakdown (price crosses above the SuperTrend upper band). ✔ Hold positions as long as QDT continues to provide the same direction. 2️⃣ Reversal Strategy ✔ Take profits when price reaches extreme levels (upper or lower percentile zones) that may indicate trend exhaustion or reversion. 3️⃣ Volatility-Driven Entries ✔ Use the percentile filtering to enter positions based on mean-reversion logic or breakout setups in volatile markets. 🧠 Why It Works QDT combines the DEMA’s quick response to price changes with SuperTrend's volatility-adjusted thresholds, ensuring a responsive and adaptive indicator. The use of percentile filters and ATR multipliers helps adjust to varying market conditions, making QDT suitable for both trending and range-bound environments. 🔹 Conclusion The Quantile DEMA Trend (QDT) by QuantEdgeB is a powerful, adaptive trend-following and momentum detection system. By integrating DEMA, SuperTrend, and quantile percentile filtering, it provides accurate and timely signals while adjusting to market volatility. Whether you are a trend follower or volatility trader, QDT offers a robust solution to identify high-probability entry and exit points. 🔹 Key Takeaways: 1️⃣ Trend Confirmation – Uses DEMA and SuperTrend for dynamic trend detection 2️⃣ Volatility Filtering – Adjusts to varying market conditions using percentile logic 3️⃣ Clear Signal Generation – Easy-to-read signals and visual cues for strategy implementation 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
Omid's BPAWhat does this indicator provide me with? Candle count Exponential Moving Average (EMA) Breakout from structure Gaps between candles Display of order blocks (not effective for price action) Opening gap of the day Key daily, weekly, and monthly levels Inside bars and outside bars این اندیکاتور چه امکاناتی را در اختیار من قرار می‌دهد؟ شمارش کندل‌ها میانگین متحرک نمایی (EMA) تشخیص بریک‌اوت از ساختار شناسایی گپ‌ها بین کندل‌ها نمایش اردربلاک‌ها (بدون کارایی برای پرایس اکشن) گپ ابتدای روز نمایش سطوح کلیدی روزانه، هفتگی و ماهانه شناسایی کندل‌های اینساید بار و اوت‌ساید بار
Pine Script® Indikator
von fariborzmaleki11
Median RSI SD| QuantEdgeB📈 Introducing Median RSI SD by QuantEdgeB 🛠️ Overview Median RSI SD is a hybrid momentum tool that fuses two powerful techniques: Median Price Filtering and RSI-based Momentum. The result? A cleaner, more responsive oscillator designed to reduce noise and increase clarity in trend detection and potential reversals. By applying the RSI not to raw price but to the percentile-based median, the indicator adapts better to real structural shifts in the market while filtering out temporary price spikes. ✨ Key Features 🔹 Smoothed RSI Momentum Utilizes a percentile-based median as input to RSI, reducing volatility and enhancing signal reliability. 🔹 Volatility-Weighted SD Zones Automatically detects overbought/oversold extremes using ±1 standard deviation bands on the median, adapting to current market volatility. 🔹 Trend Signal Overlay A directional trend signal (Long / Short / Neutral) is derived from the RSI crossing custom thresholds, combined with position relative to SD bands. 🔹 Visual Labeling System Optional in-chart labels for Long / Short signals and fully color-customizable theme modes. 📊 How It Works 1️⃣ Median RSI Calculation Instead of using the close price directly, the script first computes a smoothed median via percentile ranking. RSI is then applied to this filtered stream, improving reactivity without overfitting to short-term noise. 2️⃣ Standard Deviation Filtering Upper and lower SD bands are calculated around the median to identify extreme conditions. A position near the upper SD while RSI is below the short threshold triggers bearish bias. The reverse applies for longs. 3️⃣ Signal Generation • ✅ Long Signal → RSI crosses above the Long Threshold (default: 65) and price holds above lower SD. • ❌ Short Signal → RSI crosses below the Short Threshold (default: 45), typically within upper SD range. 4️⃣ Contextual Highlighting Zone fills on the chart and RSI subgraph indicate Overbought (>75) and Oversold (<25) conditions for added clarity. ⚙️ Custom Settings • RSI Length → Default: 21 • Median Length → Default: 10 • Long Threshold → Default: 65 • Short Threshold → Default: 45 • Color Mode → Choose from Strategy, Solar, Warm, Cool, Classic, Magic • Signal Labels Toggle → Optional in-chart long/short labels 👥 Who Should Use It? ✅ Swing & Momentum Traders → Filter entries based on confirmed directional RSI setups. ✅ Range-Bound Traders → Use SD thresholds to spot fakeouts or exhaustion zones. ✅ Intraday Strategists → Enhanced signal clarity makes it usable even on lower timeframes. ✅ System Builders → Combine this signal with price action or confluence layers for smarter rules. 📌 Conclusion Median RSI SD by QuantEdgeB is more than just a modified oscillator—it's a robust momentum confirmation framework designed for modern volatility. By replacing noisy price feeds with a statistically stable input and layering RSI + SD logic, this tool provides high-clarity signals without sacrificing responsiveness. 🔹 Key Takeaways: 1️⃣ Median-filtered RSI eliminates noise without lag 2️⃣ Standard deviation bands identify exhaustion zones 3️⃣ Reliable for both trend continuation and mean-reversion strategies 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
DEGA RMA | QuantEdgeB🧠 Introducing DEGA RMA (DGR ) by QuantEdgeB 🛠️ Overview DEGA RMA (DGR) is a precision-engineered trend-following system that merges DEMA, Gaussian kernel smoothing, and ATR-based envelopes into a single, seamless overlay indicator. Its mission: to filter out market noise while accurately capturing directional bias using a layered volatility-sensitive trend core. DGR excels at identifying valid breakouts, sustained momentum conditions, and trend-defining price behavior without falling into the trap of frequent signal reversals. 🔍 How It Works 1️⃣ Double Exponential Moving Average (DEMA) The system begins by applying a DEMA to the selected price source. DEMA responds faster than a traditional EMA, making it ideal for capturing transitions in momentum. 2️⃣ Gaussian Filtering A custom Gaussian kernel is used to smooth the DEMA signal. The Gaussian function applies symmetrical weights, centered around the most recent bar, effectively softening sharp price oscillations while preserving the underlying trend structure. 3️⃣ Recursive Moving Average (RMA) Core The filtered Gaussian output is then processed through an RMA to generate a stable dynamic baseline. This baseline becomes the foundation for the final trend logic. 4️⃣ ATR-Scaled Breakout Zones Upper and lower trend envelopes are calculated using a custom ATR filter built on DEMA-smoothed volatility. • ✅ Long Signal when price closes above the upper envelope • ❌ Short Signal when price closes below the lower envelope • ➖ Neutral when inside the band (no signal noise) ✨ Key Features 🔹 Multi-Layer Trend Model DEMA → Gaussian → RMA creates a signal structure that is both responsive and robust. 🔹 Volatility-Aware Entry System Adaptive ATR bands adjust in real-time, expanding during high volatility and contracting during calm periods. 🔹 Noise-Reducing Gaussian Kernel Sigma-adjustable kernel ensures signal smoothness without introducing excessive lag. 🔹 Clean Visual System Candle coloring and band fills make trend state easy to read and act on at a glance. ⚙️ Custom Settings • DEMA Source – Input source for trend core (default: close) • DEMA Length – Length for initial smoothing (default: 30) • Gaussian Filter Length – Determines smoothing depth (default: 4) • Gaussian Sigma – Sharpness of Gaussian curve (default: 2.0) • RMA Length – Core baseline smoothing (default: 12) • ATR Length – Volatility detection period (default: 40) • ATR Mult Up/Down – Controls the upper/lower threshold range for signals (default: 1.7) 📌 How to Use 1️⃣ Trend-Following Mode • Go Long when price closes above the upper ATR band • Go Short when price closes below the lower ATR band • Remain neutral otherwise 2️⃣ Breakout Confirmation Tool DGR’s ATR-based zone logic helps validate price breakouts and filter out false signals that occur inside compressed ranges. 3️⃣ Volatility Monitoring Watch the ATR envelope width — a narrowing band often precedes expansion and potential directional shifts. 📌 Conclusion DEGA RMA (DGR) is a thoughtfully constructed trend-following framework that goes beyond basic moving averages. Its Gaussian smoothing, adaptive ATR thresholds, and layered filtering logic provide a versatile solution for traders looking for cleaner signals, less noise, and real-time trend awareness. Whether you're trading crypto, forex, or equities — DGR adapts to volatility while keeping your chart clean and actionable. 🔹 Summary • ✅ Advanced Smoothing → DEMA + Gaussian + RMA = ultra-smooth trend core • ✅ Volatility-Adjusted Zones → ATR envelope scaling removes whipsaws • ✅ Fully Customizable → Tailor to any asset or timeframe • ✅ Quant-Inspired Structure → Built for clarity, consistency, and confidence 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
3%TRADERS POWER TRENDLINEThe 3%TRADERS POWER TRENDLINE indicator is designed to help traders identify significant trendlines based on pivot points in price data. This indicator draws trendlines by connecting pivot highs and pivot lows, which can help traders visualize trends and potential reversal points in the market. ### Key Features: - **Lookback Length Pivots:** Customize the lookback period for identifying pivot points. - **Wicks or Real Bodies:** Choose whether to draw trendlines from wicks or real bodies of the candles. - **Display Options:** Option to display only falling 'high' and rising 'low' trendlines. - **Monochrome Lines:** Option to draw trendlines in monochrome or direction-colored lines. - **Limit Line Extensions:** Set limits for the extensions of the trendlines. - **Alerts:** Option to enable alerts for trendline breaks. - **Limit Number of Trendlines:** Limit the number of trendlines displayed on the chart. - **Log Chart:** Special settings for log scale charts. ## How to Use 1. **Add the Indicator:** - Open your TradingView chart. - Click on the "Indicators" button at the top. - Search for "3%TRADERS TRENDLINE" and add it to your chart. 2. **Configure Input Settings:** - **Lookback Length Pivots:** Adjust the lookback period to control how far back the indicator looks for pivot points. - **Wicks or Real Bodies:** Check this option to draw trendlines from the wicks of candles, or uncheck to draw from the real bodies. - **Display Options:** Choose whether to display only falling 'high' and rising 'low' trendlines. - **Monochrome Lines:** Check this option to draw all trendlines in a single color, or uncheck to use different colors for rising and falling trendlines. - **Limit Line Extensions:** Set a limit for how far the trendlines can extend. A value of 0 means infinite extension. - **Alerts:** Enable this option to receive alerts when trendlines are broken. - **Limit Number of Trendlines:** Check this option to limit the number of trendlines shown on the chart. - **Number of Trendlines:** Set the maximum number of trendlines to display if the above option is checked. - **Log Chart:** Check this option if you are using a logarithmic scale chart. 3. **Interpret the Trendlines:** - The indicator will draw trendlines connecting pivot highs and pivot lows based on your configuration. - Rising trendlines are typically drawn in green (or a single color if monochrome is enabled). - Falling trendlines are typically drawn in red (or a single color if monochrome is enabled). 4. **Monitor for Alerts:** - If alerts are enabled, the indicator will notify you of trendline breaks, which can signal potential trend reversals or breakout opportunities. ## Example Usage: - Use the indicator to identify key support and resistance levels based on trendlines. - Combine with other technical analysis tools to confirm trend reversals or continuation patterns. - Adjust the lookback length and other settings to fit your trading strategy and the specific asset you are analyzing. The 3%TRADERS TRENDLINE indicator is a powerful tool for visualizing trends and making informed trading decisions based on key price levels.
Pine Script® Indikator
von threepercenttraders
Kernel Weighted DMI | QuantEdgeB📊 Introducing Kernel Weighted DMI (K-DMI) by QuantEdgeB 🛠️ Overview K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal. Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal. ✨ Key Features 🔹 Kernel Smoothing Engine Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity. 🔹 Dynamic Trend Signal Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ±1). 🔹 Visual Encoding Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension. 🔹 Multi-Mode Plotting Optional moving average overlays visualize structure and compression/expansion within price action. 📐 How It Works 1️⃣ Directional Movement Index (DMI) Calculates the traditional +DI and -DI differential to derive directional bias. 2️⃣ Kernel-Based Smoothing Applies a custom-weighted average across historical DMI values using one of three smoothing methods: • Linear → Simple tapering weights • Exponential → Decay curve for recent emphasis • Gaussian → Bell-shaped weight for centered precision 3️⃣ Signal Generation • ✅ Long → Signal > Long Threshold (default: +1) • ❌ Short → Signal < Short Threshold (default: -1) Additional overlays signal potential compression zones or trend resumption using gradient and line fills. ⚙️ Custom Settings • DMI Length: Default = 7 • Kernel Type: Options → Linear, Exponential, Gaussian (Def:Linear) • Kernel Length: Default = 25 • Long Threshold: Default = 1 • Short Threshold: Default = -1 • Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic • Show Labels: Optional entry signal labels (Long/Short) • Enable Extra Plots: Toggle MA overlays and dynamic bands 👥 Who Is It For? ✅ Trend Traders → Identify sustained directional bias with smoother signal lines ✅ Quant Analysts → Leverage advanced smoothing models to enhance data clarity ✅ Discretionary Swing Traders → Visualize clean breakouts or fades within choppy zones ✅ MA Compression Traders → Use overlay MAs to detect expansion opportunities 📌 Conclusion Kernel Weighted DMI is the evolution of classic momentum tracking—merging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis. 🔹 Key Takeaways: 1️⃣ Smoothed and stabilized DMI for reliable trend signal generation 2️⃣ Optional Gaussian/exponential weighting for adaptive responsiveness 3️⃣ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
Boosted Scalp Sniper🚀 Boosted Scalp Sniper | EMA, RSI & Volume Combination 🚀 An effective indicator designed for traders who want to execute fast and aggressive scalp trades! Features: EMA Cross (2 and 5 periods): Captures ultra-fast trend reversals using short-term EMA crossovers. Dynamic RSI (7 period, 40-60 range): Confirms the strength and direction of momentum. Volume Filter: Ensures more reliable trade signals by requiring volume to be above the 10-bar average. How to Use: A Buy (▲) signal indicates a potential short-term upward opportunity. A Sell (▼) signal indicates a potential short-term downward opportunity. You can test this indicator across different timeframes (1D, 1H, 15M, 5M, etc.) and optimize it to suit your trading style. Important Notes: This indicator provides visual entry signals only; apply your own risk management strategy. Always use a stop-loss in your real trades to protect capital. Good luck and happy trading! 📈
Pine Script® Indikator
von trndogn
HILO Interpolation | QuantEdgeB🚀 Introducing HILO Interpolation by QuantEdgeB 🛠️ Overview HILO Interpolation is a dynamic price-action based signal engine crafted to adapt across trending and ranging conditions. By leveraging percentile-based price band interpolation, it identifies high-confidence breakout and breakdown zones. This indicator is designed to serve both as a momentum trigger in trend phases and as a price-reactive entry system during range-bound consolidation. By intelligently switching between percentile thresholds and interpolated logic, HILO minimizes noise and whipsaws commonly seen in traditional crossover systems. ✨ Key Features 🔹 Percentile Interpolation Engine Tracks price breakouts using percentile thresholds, making it adaptable to volatility and asset-specific structure. 🔹 Price-Based Signal Confirmation Signals are only triggered when price meaningfully crosses through key percentile thresholds (based on historical high/low logic). 🔹 Visual Trend Encoding Color-coded candles, dynamic interpolation bands, and optional long/cash labels give clear visual cues for trend and trade direction. 🔹 Dynamic Threshold Switching Interpolated threshold flips based on where price sits relative to percentile bands—providing adaptive long/short logic. 📊 How It Works 1️⃣ Percentile Zone Definition HILO defines two key percentiles from the historical high and low: • Upper Threshold: 75th Percentile of Highs • Lower Threshold: 50th Percentile of Lows These are calculated using linear interpolation to ensure smoother transitions across lookback periods. 2️⃣ Adaptive Signal Line Instead of using static crossovers, HILO dynamically flips its signal based on whether price exceeds the upper threshold or falls below the lower one. 📌 If price > upper → Signal = Short threshold 📌 If price < lower → Signal = Long threshold 📌 If price remains between thresholds → no flip (trend continuation) 3️⃣ Signal Logic ✅ Long Signal → Price exceeds upper bound while lower bound acts as ceiling ❌ Short Signal → Price breaks below lower percentile while upper bound flips This simple yet powerful mechanism creates early entries while maintaining high signal confidence. 👁 Visual & Custom Features • 🎨 Multiple Color Modes: Strategy, Solar, Warm, Cool, Classic, Magic • 🔄 Dynamic Candle & Band Coloring • 🏷️ Signal Labels: Optional “𝓛𝓸𝓷𝓰” and “𝓢𝓱𝓸𝓻𝓽” tags when trend flips • 💬 Alerts Ready: Long/Short crossover conditions can trigger alerts instantly 👥 Who Should Use HILO? ✅ Breakout Traders – Catch early trend starts using percentile filters ✅ Swing Traders – Identify directional bias shifts in advance ✅ Range Strategists – Use band confluence zones to play reversions ✅ Quant & Rule-Based Traders – Incorporate percentile logic into broader systems ⚙️ Customization & Default Settings Percentile Length:(Default 35) Lookback for calculating percentile thresholds Lookback Period:(Default 4) Lag factor for interpolation responsiveness Upper % Threshold: (Default 75) Defines breakout zone from historical highs Lower % Threshold: (Default 50) Defines retest/accumulation zone from historical lows 📌 How to Use HILO in Trading 1️⃣ Trend-Following Strategy ✔ Enter long when price flips above the adaptive support line ✔ Exit or go short when price breaks below the interpolated resistance ✔ Continue position as long as trend color persists 2️⃣ Range-Reversion Strategy ✔ Buy when price tests the lower threshold and no short signal is triggered ✔ Sell or reduce when price hits the upper range boundary 🧠 Why It Works HILO operates on the principle that historical price structure creates natural probabilistic thresholds. By interpolating between these using percentile logic, the system maintains adaptability to changing market conditions—without the lag of moving averages or the noise of fixed bands. 🔹 Conclusion HILO Interpolation is a minimalist yet powerful signal engine built for adaptive breakout and reversion detection. Its percentile-based logic offers a novel way to identify structure shifts, giving traders an edge in both trend and range markets. 🔹 Key Takeaways: 1️⃣ Breakout Entry Logic – Uses percentile interpolation instead of static bands 2️⃣ Color-Driven Clarity – Visual clarity via gradient zone overlays 3️⃣ Trend Integrity – Avoids overfitting and responds only to significant price movements 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB 🛠️ Overview Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions. By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision. ✨ Key Features 🔹 Percentile-Based Median Filtering Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action. 🔹 Linear Regression Smoothing A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag. 🔹 SuperTrend Structure with Adaptive Bands The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength. 🔹 Dynamic Long/Short Conditions Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart. 🔹 Multiple Visual Themes Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout. 📊 How It Works 1️⃣ Percentile Filtering The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes. 2️⃣ Linear Regression Trend Base A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction. 3️⃣ SuperTrend Engine ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips. 4️⃣ Trend Signal Logic • When price stays above the dynamic lower band → Bullish trend • When price breaks below the upper band → Bearish trend • Trend direction remains stable until violated by price. ⚙️ Custom Settings • Percentile Length → Lookback for percentile smoothing (default: 35) • LSMA Length → Determines the base trend via linear regression (default: 24) • ATR Length → ATR period used in dynamic bands (default: 14) • Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8) • Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9) ✅ How to Use 1️⃣ Trend-Following Strategy ✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend ✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions ✔️ Remain in trend direction until the SuperTrend flips 2️⃣ Visual Confirmation ✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction ✔️ Optional Long/Short labels highlight key signal flips 👥 Who Should Use Linear % ST? ✅ Swing & Position Traders → To ride trends confidently ✅ Trend Followers → As a primary directional filter ✅ Breakout Traders → For clean signal generation post-range break ✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups 📌 Conclusion Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection. 🔹 Key Takeaways: 1️⃣ Percentile + Regression = Noise-Reduced Core Trend 2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation 3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy 📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum. 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® Indikator
von QuantEdgeB
Money Flow: In & Out Detector[THANHCONG]Indicator Name: Money Flow: In & Out Detector Indicator Description: The Money Flow: In & Out Detector indicator uses technical indicators such as RSI (Relative Strength Index), MFI (Money Flow Index), and volume analysis to determine money inflow and outflow in the market. This indicator helps traders identify changes in money flow, allowing them to detect buy and sell signals based on the combination of the following factors: RSI > 50 and MFI > 50: Money inflow, indicating a buy signal. RSI < 50 and MFI < 50: Money outflow, indicating a sell signal. Volume increase/decrease relative to the average: Identifies strong market behavior changes. Adjustable Parameters: RSI Length: The number of periods to calculate the RSI (default is 14). MFI Length: The number of periods to calculate the MFI (default is 14). Volume MA Length: The number of periods to calculate the moving average of volume (default is 20). Volume Increase/Decrease (%): The percentage threshold for volume change compared to the moving average (default is 20%). Look Back Period: The number of periods used to identify peaks and troughs (default is 20). How to Use the Indicator: Money Inflow: When both RSI and MFI are above 50, and volume increases significantly relative to the moving average, the indicator shows a Buy signal. Money Outflow: When both RSI and MFI are below 50, and volume decreases significantly relative to the moving average, the indicator shows a Sell signal. Identifying Peaks and Troughs: The indicator also helps identify market peaks and troughs based on technical conditions. Note: This indicator assists in decision-making, but does not replace comprehensive market analysis. Use this indicator in conjunction with other technical analysis methods to increase the accuracy of trade signals. Steps for Publishing the Indicator on TradingView: Log in to TradingView: Go to TradingView and log into your account. Access Pine Script Editor: Click on Pine Editor from the menu under the chart. Paste your Pine Script® code into the editor window. Check the Source Code: Ensure your code is error-free and running correctly. Review the entire source code and add the MPL-2.0 license notice if necessary. Save and Publish: After testing and confirming the code works correctly, click Add to Chart to try the indicator on your chart. If satisfied with the result, click Publish Script at the top right of the Pine Editor. Provide a name for the indicator and then enter the detailed description you’ve prepared. Ensure you specify the MPL-2.0 license in the description if required. Choose the Access Type: You can choose either Public or Private access for your indicator depending on your intention. Submit for Publication: Wait for TradingView to review and approve your indicator. Typically, this process takes a few working days for verification and approval. User Guide: You can share detailed instructions for users on how to use the indicator on TradingView, including how to adjust the parameters and interpret the signals. For example: Set RSI Length: Experiment with different RSI Length values to find the sensitivity that suits your strategy. Interpreting Buy/Sell Signals: When there is strong money inflow (Buy), consider entering a buy order. When there is strong money outflow (Sell), consider selling.
Pine Script® Indikator
von ThanhCong_
1
Normalized DEMA Oscillator SD| QuantEdgeB📊 Introducing Normalized DEMA Oscillator SD (NDOSD) by QuantEdgeB 🛠️ Overview Normalized DEMA Oscillator SD (NDOSD) is a powerful trend and momentum indicator that blends DEMA-based smoothing with a standard deviation-based normalization engine. The result is an oscillator that adapts to volatility, filters noise, and highlights both trend continuations and reversal zones with exceptional clarity. It normalizes price momentum within an adaptive SD envelope, allowing comparisons across assets and market conditions. Whether you're a trend trader or mean-reverter, NDOSD provides the insight needed for smarter decision-making. ✨ Key Features 🔹 DEMA-Powered Momentum Core Utilizes a Double EMA (DEMA) for smoother trend detection with reduced lag. 🔹 Normalized SD Bands Price momentum is standardized using a dynamic 2× standard deviation range—enabling consistent interpretation across assets and timeframes. 🔹 Overbought/Oversold Detection Includes clear OB/OS zones with shaded thresholds to identify potential reversals or trend exhaustion areas. 🔹 Visual Trend Feedback Color-coded oscillator zones, candle coloring, and optional signal labels help traders immediately see trend direction and strength. 📐 How It Works 1️⃣ DEMA Calculation The core of NDOSD is a smoothed price line using a Double EMA, designed to reduce false signals in choppy markets. 2️⃣ Normalization with SD The DEMA is normalized within a volatility range using a 2x SD calculation, producing a bounded oscillator from 0–100. This transforms the raw signal into a structured format, allowing for OB/OS detection and trend entry clarity. 3️⃣ Signal Generation • ✅ Long Signal → Oscillator crosses above the long threshold (default: 55) and price holds above the lower SD boundary. • ❌ Short Signal → Oscillator drops below short threshold (default: 45), often within upper SD boundary context. 4️⃣ OB/OS Thresholds • Overbought Zone: Above 100 → Caution / Consider profit-taking. • Oversold Zone: Below 0 → Watch for accumulation setups. ⚙️ Custom Settings • Calculation Source: Default = close • DEMA Period: Default = 30 • Base SMA Period: Default = 20 • Long Threshold: Default = 55 • Short Threshold: Default = 45 • Color Mode: Choose from Strategy, Solar, Warm, Cool, Classic, or Magic • Signal Labels Toggle: Show/hide Long/Short markers on chart 👥 Ideal For ✅ Trend Followers – Identify breakout continuation zones using oscillator thrust and SD structure ✅ Swing Traders – Catch mid-trend entries or mean reversion setups at OB/OS extremes ✅ Quant/Systemic Traders – Normalize signals for algorithmic integration across assets ✅ Multi-Timeframe Analysts – Easily compare trend health using standardized oscillator ranges 📌 Conclusion Normalized DEMA Oscillator SD is a sleek and adaptive momentum toolkit that helps traders distinguish true momentum from false noise. With its fusion of DEMA smoothing and SD normalization, it works equally well in trending and range-bound conditions. 🔹 Key Takeaways: 1️⃣ Smoother momentum tracking using DEMA 2️⃣ Cross-asset consistency via SD-based normalization 3️⃣ Versatile for both trend confirmation and reversal identification 📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets. 📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading. Let me know if you want a strategy script or publish-ready layout for TradingView next!
Pine Script® Indikator
von QuantEdgeB
siaThis script is a combination of several TradingView Pine Script indicators, each designed to provide different types of analysis and visualization for trading strategies. Here's a breakdown of each part: 1. Trendlines with Breaks Purpose: Identifies trendlines and their breaks. Key Features: Detects swing highs and lows. Calculates trendlines based on ATR, Stdev, or Linreg. Plots upper and lower trendlines. Highlights breakouts with shapes and alerts. 2. CM_Ultimate_MA_MTF_V2 Purpose: Plots a multi-timeframe moving average with optional second moving average. Key Features: Supports various moving average types (SMA, EMA, WMA, etc.). Highlights price crossings with the moving averages. Allows color changes based on direction. Optional second moving average for additional analysis. 3. HalfTrend Purpose: Identifies trends and plots trend channels. Key Features: Uses ATR for channel deviation. Plots trend lines and channels. Highlights trend changes with arrows. Provides alerts for buy and sell signals. 4. Ichimoku Purpose: Plots Ichimoku Cloud components and additional lines. Key Features: Plots Tenkan-Sen, Kijun-Sen, Chikou Span, and Ichimoku Cloud. Highlights crosses between Tenkan-Sen and Kijun-Sen. Includes additional lines like Quality Line and Direction Line. Provides alerts for cross signals. How to Use Trendlines with Breaks: Useful for identifying potential breakout points in the market. CM_Ultimate_MA_MTF_V2: Helps in understanding the trend across different timeframes. HalfTrend: Provides a clear visualization of trend channels and potential reversal points. Ichimoku: Offers a comprehensive view of market trends and potential support/resistance levels. Integration These indicators can be used together to create a robust trading strategy. For example, you can use the trendlines to identify breakouts, confirm the trend with the multi-timeframe moving average, and use Ichimoku for additional confirmation. Customization Each indicator has several input parameters that can be customized to fit your trading style and preferences.
Pine Script® Indikator
von siavashrh