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50/100/200 Moving Averages (Pine Script For Copy)by fresca SCRIPT LANGUAGE Copy script below and adjust based on your preferences. -function (change function from "sma" to "ema", "wma" and more) -length (25 Day, 150 Day or add more averages to the three in this script.) -color, (red, yellow, etc. or use color hex codes i.e. #FEDA15, #FFAD8F, etc.) -transparency (set to desired level 1-100) Or add more options. RESOURCES Color hex codes site: www.canva.com Trading View Pine Script Editor Reference Guide: www.tradingview.com
Indicatore Pine Script®
di manifresca
9
Multi SMA + Golden/Death + Heatmap + BB**Multi SMA (50/100/200) + Golden/Death + Candle Heatmap + BB** A practical trend toolkit that blends classic 50/100/200 SMAs with clear crossover labels, special 🚀 Golden / 💀 Death Cross markers, and a readable candle heatmap based on a dynamic regression midline and volatility bands. Optional Bollinger Bands are included for context. * See trend direction at a glance with SMAs. * Get minimal, de-cluttered labels on important crosses (50↔100, 50↔200, 100↔200). * Highlight big regime shifts with special Golden/Death tags. * Read momentum and volatility with the candle heatmap. * Add Bollinger Bands if you want classic mean-reversion context. Designed to be lightweight, non-repainting on confirmed bars, and flexible across timeframes. # What This Indicator Does (plain English) * **Tracks trend** using **SMA 50/100/200** and lets you optionally compute each SMA on a higher or different timeframe (HTF-safe, no lookahead). * **Prints labels** when SMAs cross each other (up or down). You can force signals only after bar close to avoid repaint. * **Marks Golden/Death Crosses** (50 over/under 200) with special labels so major regime changes stand out. * **Colors candles** with a **heatmap** built from a regression midline and volatility bands—greenish above, reddish below, with a smooth gradient. * **Optionally shows Bollinger Bands** (basis SMA + stdev bands) and fills the area between them. * **Includes alert conditions** for Golden and Death Cross so you can automate notifications. --- # Settings — Simple Explanations ## Source * **Source**: Price source used to calculate SMAs and Bollinger basis. Default: `close`. ## SMA 50 * **Show 50**: Turn the SMA(50) line on/off. * **Length 50**: How many bars to average. Lower = faster but noisier. * **Color 50** / **Width 50**: Visual style. * **Timeframe 50**: Optional alternate timeframe for SMA(50). Leave empty to use the chart timeframe. ## SMA 100 * **Show 100**: Turn the SMA(100) line on/off. * **Length 100**: Bars used for the mid-term trend. * **Color 100** / **Width 100**: Visual style. * **Timeframe 100**: Optional alternate timeframe for SMA(100). ## SMA 200 * **Show 200**: Turn the SMA(200) line on/off. * **Length 200**: Bars used for the long-term trend. * **Color 200** / **Width 200**: Visual style. * **Timeframe 200**: Optional alternate timeframe for SMA(200). ## Signals (crossover labels) * **Show crossover signals**: Prints triangle labels on SMA crosses (50↔100, 50↔200, 100↔200). * **Wait for bar close (confirmed)**: If ON, signals only appear after the candle closes (reduces repaint). * **Min bars between same-pair signals**: Minimum spacing to avoid duplicate labels from the same SMA pair too often. * **Trend filter (buy: 50>100>200, sell: 50<100<200)**: Only show bullish labels when SMAs are stacked bullish (50 above 100 above 200), and only show bearish labels when stacked bearish. ### Label Offset * **Offset mode**: Choose how to push labels away from price: * **Percent**: Offset is a % of price. * **ATR x**: Offset is ATR(14) × multiplier. * **Percent of price (%)**: Used when mode = Percent. * **ATR multiplier (for ‘ATR x’)**: Used when mode = ATR x. ### Label Colors * **Bull color** / **Bear color**: Background of triangle labels. * **Bull label text color** / **Bear label text color**: Text color inside the triangles. ## Golden / Death Cross * **Show 🚀 Golden Cross (50↑200)**: Show a special “Golden” label when SMA50 crosses above SMA200. * **Golden label color** / **Golden text color**: Styling for Golden label. * **Show 💀 Death Cross (50↓200)**: Show a special “Death” label when SMA50 crosses below SMA200. * **Death label color** / **Death text color**: Styling for Death label. ## Candle Heatmap * **Enable heatmap candle colors**: Turns the heatmap on/off. * **Length**: Lookback for the regression midline and volatility measure. * **Deviation Multiplier**: Band width around the midline (bigger = wider). * **Volatility basis**: * **RMA Range** (smoothed high-low range) * **Stdev** (standard deviation of close) * **Upper/Middle/Lower color**: Gradient colors for the heatmap. * **Heatmap transparency (0..100)**: 0 = solid, 100 = invisible. * **Force override base candles**: Repaint base candles so heatmap stays visible even if your chart has custom coloring. ## Bollinger Bands (optional) * **Show Bollinger Bands**: Toggle the overlay on/off. * **Length**: Basis SMA length. * **StdDev Multiplier**: Distance of bands from the basis in standard deviations. * **Basis color** / **Band color**: Line colors for basis and bands. * **Bands fill transparency**: Opacity of the fill between upper/lower bands. --- # Features & How It Works ## 1) HTF-Safe SMAs Each SMA can be calculated on the chart timeframe or a higher/different timeframe you choose. The script pulls HTF values **without lookahead** (non-repainting on confirmed bars). ## 2) Crossover Labels (Three Pairs) * **50↔100**, **50↔200**, **100↔200**: * **Triangle Up** label when the first SMA crosses **above** the second. * **Triangle Down** label when it crosses **below**. * Optional **Trend Filter** ensures only signals aligned with the overall stack (50>100>200 for bullish, 50<100<200 for bearish). * **Debounce** spacing avoids repeated labels for the same pair too close together. ## 3) Golden / Death Cross Highlights * **🚀 Golden Cross**: SMA50 crosses **above** SMA200 (often a longer-term bullish regime shift). * **💀 Death Cross**: SMA50 crosses **below** SMA200 (often a longer-term bearish regime shift). * Separate styling so they stand out from regular cross labels. ## 4) Candle Heatmap * Builds a **regression midline** with **volatility bands**; colors candles by their position inside that channel. * Smooth gradient: lower side → reddish, mid → yellowish, upper side → greenish. * Helps you see momentum and “where price sits” relative to a dynamic channel. ## 5) Bollinger Bands (Optional) * Classic **basis SMA** ± **StdDev** bands. * Light visual context for mean-reversion and volatility expansion. ## 6) Alerts * **Golden Cross**: `🚀 GOLDEN CROSS: SMA 50 crossed ABOVE SMA 200` * **Death Cross**: `💀 DEATH CROSS: SMA 50 crossed BELOW SMA 200` Add these to your alerts to get notified automatically. --- # Tips & Notes * For fewer false positives, keep **“Wait for bar close”** ON, especially on lower timeframes. * Use the **Trend Filter** to align signals with the broader stack and cut noise. * For HTF context, set **Timeframe 50/100/200** to higher frames (e.g., H1/H4/D) while you trade on a lower frame. * Heatmap “Length” and “Deviation Multiplier” control smoothness and channel width—tune for your asset’s volatility.
Indicatore Pine Script®
di a_jabbaroff
Support and resistance levels (Day, Week, Month) + EMAs + SMAs(ENG): This Pine 5 script provides various tools for configuring and displaying different support and resistance levels, as well as moving averages (EMA and SMA) on charts. Using these tools is an essential strategy for determining entry and exit points in trades. Support and Resistance Levels Daily, weekly, and monthly support and resistance levels play a key role in analyzing price movements: Daily levels: Represent prices where a cryptocurrency has tended to bounce within the current trading day. Weekly levels: Reflect strong prices that hold throughout the week. Monthly levels: Indicate the most significant levels that can influence price movement over the month. When trading cryptocurrencies, traders use these levels to make decisions about entering or exiting positions. For example, if a cryptocurrency approaches a weekly resistance level and fails to break through it, this may signal a sell opportunity. If the price reaches a daily support level and starts to bounce up, it may indicate a potential long position. Market context and trading volumes are also important when analyzing support and resistance levels. High volume near a level can confirm its significance and the likelihood of subsequent price movement. Traders often combine analysis across different time frames to get a more complete picture and improve the accuracy of their trading decisions. Moving Averages Moving averages (EMA and SMA) are another important tool in the technical analysis of cryptocurrencies: EMA (Exponential Moving Average): Gives more weight to recent prices, allowing it to respond more quickly to price changes. SMA (Simple Moving Average): Equally considers all prices over a given period. Key types of moving averages used by traders: EMA 50 and 200: Often used to identify trends. The crossing of the 50-day EMA with the 200-day EMA is called a "golden cross" (buy signal) or a "death cross" (sell signal). SMA 50, 100, 150, and 200: These periods are often used to determine long-term trends and support/resistance levels. Similar to the EMA, the crossings of these averages can signal potential trend changes. Settings Groups: EMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the EMA. EMA 50 & 200: A setting to display the 50-day and 200-day EMA. Support and Resistance Levels: Includes settings for daily, weekly, and monthly levels. SMA 50, 100, 150, 200: A setting to display the 50, 100, 150, and 200-day SMA. SMA Golden Cross & Death Cross: A setting to display the "golden cross" and "death cross" for the SMA. Components: Enable/disable the display of support and resistance levels. Show level labels. Parameters for adjusting offset, display of EMA and SMA, and their time intervals. Parameters for configuring EMA and SMA Golden Cross & Death Cross. EMA Parameters: Enable/disable the display of 50 and 200-day EMA. Color and style settings for EMA. Options to use bar gaps and the "LookAhead" function. SMA Parameters: Enable/disable the display of 50, 100, 150, and 200-day SMA. Color and style settings for SMA. Options to use bar gaps and the "LookAhead" function. Effective use of support and resistance levels, as well as moving averages, requires an understanding of technical analysis, discipline, and the ability to adapt the strategy according to changing market conditions. (RUS) Данный Pine 5 скрипт предоставляет разнообразные инструменты для настройки и отображения различных уровней поддержки и сопротивления, а также скользящих средних (EMA и SMA) на графиках. Использование этих инструментов является важной стратегией для определения точек входа и выхода из сделок. Уровни поддержки и сопротивления Дневные, недельные и месячные уровни поддержки и сопротивления играют ключевую роль в анализе движения цен: Дневные уровни: Представляют собой цены, на которых криптовалюта имела тенденцию отскакивать в течение текущего торгового дня. Недельные уровни: Отражают сильные цены, которые сохраняются в течение недели. Месячные уровни: Указывают на наиболее значимые уровни, которые могут влиять на движение цены в течение месяца. При торговле криптовалютами трейдеры используют эти уровни для принятия решений о входе в позицию или закрытии сделки. Например, если криптовалюта приближается к недельному уровню сопротивления и не удается его преодолеть, это может стать сигналом для продажи. Если цена достигает дневного уровня поддержки и начинает отскакивать вверх, это может указывать на возможность открытия длинной позиции. Контекст рынка и объемы торговли также важны при анализе уровней поддержки и сопротивления. Высокий объем при приближении к уровню может подтвердить его значимость и вероятность последующего движения цены. Трейдеры часто комбинируют анализ различных временных рамок для получения более полной картины и улучшения точности своих торговых решений. Скользящие средние Скользящие средние (EMA и SMA) являются еще одним важным инструментом в техническом анализе криптовалют: EMA (Exponential Moving Average): Экспоненциальная скользящая средняя, которая придает большее значение последним ценам. Это позволяет более быстро реагировать на изменения в ценах. SMA (Simple Moving Average): Простая скользящая средняя, которая равномерно учитывает все цены в заданном периоде. Основные виды скользящих средних, которые используются трейдерами: EMA 50 и 200: Часто используются для выявления трендов. Пересечение 50-дневной EMA с 200-дневной EMA называется "золотым крестом" (сигнал на покупку) или "крестом смерти" (сигнал на продажу). SMA 50, 100, 150 и 200: Эти периоды часто используются для определения долгосрочных трендов и уровней поддержки/сопротивления. Аналогично EMA, пересечения этих средних могут сигнализировать о возможных изменениях тренда. Группы настроек: EMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для EMA. EMA 50 & 200: Настройка для отображения 50-дневной и 200-дневной EMA. Уровни поддержки и сопротивления: Включает настройки для дневных, недельных и месячных уровней. SMA 50, 100, 150, 200: Настройка для отображения 50, 100, 150 и 200-дневных SMA. SMA Golden Cross & Death Cross: Настройка для отображения "золотого креста" и "креста смерти" для SMA. Компоненты: Включение/отключение отображения уровней поддержки и сопротивления. Показ ярлыков уровней. Параметры для настройки смещения, отображения EMA и SMA, а также их временных интервалов. Параметры для настройки EMA и SMA Golden Cross & Death Cross. Параметры EMA: Включение/отключение отображения 50 и 200-дневных EMA. Настройки цвета и стиля для EMA. Опции для использования разрыва баров и функции "LookAhead". Параметры SMA: Включение/отключение отображения 50, 100, 150 и 200-дневных SMA. Настройки цвета и стиля для SMA. Опции для использования разрыва баров и функции "LookAhead". Эффективное использование уровней поддержки и сопротивления, а также скользящих средних, требует понимания технического анализа, дисциплины и умения адаптировать стратегию в зависимости от изменяющихся условий рынка.
Indicatore Pine Script®
di expert-x
7
EMA Scoring Strategy## **📊 EMA Scoring Strategy for Trend Analysis** This strategy is designed to **identify bullish trends** based on multiple **Exponential Moving Averages (EMAs)**. It assigns a **score** based on how the price and EMAs interact, and highlights strong bullish conditions when the score reaches **4 or above**. --- ## **🔹 Strategy Logic** ### 1️⃣ **Calculating EMAs** - **EMA 21** → Short-term trend - **EMA 50** → Mid-term trend - **EMA 100** → Long-term trend --- ### 2️⃣ **Scoring System** For each trading day, the strategy assigns **+1 or -1 points** based on the following conditions: | Condition | Score | |-----------|-------| | If **Price > EMA 21** | +1 | | If **Price > EMA 50** | +1 | | If **Price > EMA 100** | +1 | | If **EMA 21 > EMA 50** | +1 | | If **EMA 50 > EMA 100** | +1 | | If **EMA 21 > EMA 100** | +1 | | If **Price < EMA 21** | -1 | | If **Price < EMA 50** | -1 | | If **Price < EMA 100** | -1 | | If **EMA 21 < EMA 50** | -1 | | If **EMA 50 < EMA 100** | -1 | | If **EMA 21 < EMA 100** | -1 | --- ### 3️⃣ **Bullish Confirmation** (Score ≥ 4) - The **score is calculated every day**. - When the **score reaches 4 or above**, it confirms a strong **bullish trend**. - A **green background** is applied to highlight such days. - A **histogram** is plotted **only when the score is 4 or higher** to keep the chart clean. - A **buy signal** is generated when the score **crosses above 4**. --- ## **🔹 Visualization & Alerts** ### ✅ **What You See on the Chart** 1. **EMA Lines (21, 50, 100)** 📈 2. **Green Background for Strong Bullish Days (Score ≥ 4)** ✅ 3. **Histogram Showing Score (Only for 4 and above)** 📊 4. **Buy Signal When Score Crosses Above 4** 💰 ### 🔔 **Alerts** - **An alert is triggered** when the score crosses **above 4**, notifying the user about a bullish trend. --- ## **📌 How to Use This Strategy** 1. **Identify Strong Bullish Trends:** When the score is **4 or above**, it suggests that price momentum is strong. 2. **Enter Trades on Buy Signals:** When the score **crosses above 4**, it could be a good time to buy. 3. **Stay in the Trade While Score is 4+:** The green background confirms a **strong uptrend**. 4. **Exit When Score Drops Below 4:** This suggests weakening momentum. --- ## **🔹 Advantages of This Strategy** ✅ **Simple & Objective** - Uses clear rules for trend confirmation ✅ **Filters Out Noise** - Only highlights strong bullish conditions ✅ **Works on Any Market** - Can be applied to stocks, indices, crypto, etc. ✅ **Customizable** - You can tweak EMAs or score conditions as needed --- ## **🚀 Next Steps** Would you like me to add **stop-loss conditions**, **sell signals**, or any **extra confirmations like RSI or volume**? 😃
Strategia Pine Script®
di dhruvguptanitt
1
Multiple SMA, EMA, and VWAP CrossoversMultiple SMA, EMA, and VWAP Crossovers with Alerts Overview : The "Multiple SMA, EMA, and VWAP Crossovers" script is designed for traders who want to monitor various simple moving averages (SMAs), exponential moving averages (EMAs), and the volume-weighted average price (VWAP) to identify potential buy and sell opportunities. This script allows you to visualize key moving averages on your chart and create custom alerts for specific crossover events. Detail s: This script plots the following moving averages: Simple Moving Averages (SMA): 5, 10, 20, 50, 100, 200, and 325 periods Exponential Moving Average (EMA): 9 periods Volume-Weighted Average Price (VWAP) It includes options to display these moving averages and set alerts for their crossovers. Available Crossovers: 20/50 SMA, 20/100 SMA, 20/200 SMA, 20/325 SMA 50/100 SMA, 50/200 SMA, 50/325 SMA 100/200 SMA, 100/325 SMA 200/325 SMA VWAP/20 SMA, VWAP/50 SMA, VWAP/100 SMA, VWAP/200 SMA, VWAP/325 SMA Optional Lines to Add to the Chart: 9 EMA, 5 SMA, 10 SMA, 20 SMA, 50 SMA, 100 SMA, 200 SMA, 325 SMA, VWAP How to Use: Enable Indicators: Use the input options to select which SMAs, EMA, and VWAP you want to display on your chart. Set Alerts: Choose the specific crossover events you want to monitor. For example, you can set an alert for the 20/50 SMA crossover or the VWAP/100 SMA crossover. Monitor the Chart: The script will plot the selected moving averages on your chart. When a selected crossover event occurs, an alert will be triggered, notifying you of the potential trade opportunity. Usage Tips: Trending Market: Use the buy and sell alerts in trending markets where the moving averages can help confirm the direction of the trend. Key Support and Resistance Levels: Combine crossover alerts with key support and resistance levels for more reliable trading signals. Volume Confirmation: Ensure there is sufficient volume to support the crossover signals, indicating stronger momentum behind the move. When NOT to Use Buy and Sell Alerts: Low Volume: Avoid using buy and sell alerts during periods of low trading volume, as the signals may be less reliable. Market Noise: Be cautious in highly volatile markets where frequent crossovers might generate false signals. Sideways Market: In a sideways or range-bound market, crossover signals can result in multiple whipsaws, leading to potential losses. Why Use This Script? This script provides a comprehensive tool for traders to monitor multiple moving averages and VWAP crossovers efficiently. It allows you to customize alerts based on your trading strategy and helps you make informed decisions by visualizing key technical indicators on your chart. Legal Disclaimer: The information provided by this script is for educational and informational purposes only and should not be considered financial advice. The developer of this script is not responsible for any financial losses incurred from using this script.
Indicatore Pine Script®
di thisgirl
Swing EMAWhat is Swing EMA? Swing EMA is an exponential moving average crossover-based indicator used for low-risk directional trading. it's used for different types of Ema 20,50,100 and 200, 3 of them are plotted on chat 20,100,200. 100 and 200 Ema is used for showing support and resistance and it contains highlights area between them and its change color according to market crossover condition. 20 moving average is used for knowing Market Behaviour and changing its color according to crossover conditions of 50 and 20 Ema. How does it work? It contains 4 different types of moving averages 20,50,100, 200 out of 3 are plotted on the chart. 20 Ema is used for knowing current market behavior. Its changes its color based on the crossover of 50 Ema and 20 Ema, if 20 Ema is higher than 50 Ema then it changes its color to green, and its opposites are changed their color to red when 20 Ema is lower than 50 Ema. 100 and 200 Ema used as a support and resistance and is also contain highlighted areas between them its change their color based on the crossover if 100 Ema is higher than 200 Ema a then both of them are going to change color to Green and as an opposite, if 200 Ema is higher then 100 Ema is going to change its color to red. So in simple word 100 and 200 Ema is used as support and resistance zone and 20 Ema is used to know current market behavior. How to use it? It is very easy to understand by looking at the example I gave where are the two different types of phrases. phrase bull phrase and bear phrase so 100 and 200 Ema is used as a support and resistance and to tell you which phrase is currently on the market on example there is a bull phrase on the left side and bear phrase on the right side by using your technical analysis you can find out a really good spot to buy your stocks on a bull phrase and too short on the bear phrase. 20 Ema is used as a knowing the current market behavior it doesn't make any difference on buying or selling as much as 100 Ema and 200 Ema. Tips Don't trade against the market. Try trade on trending stocks rather than sideways stock. The higher the area between 100 Ema and 200 Ema is the stronger the phrase. Do Backtesting before real trading. Enjoy Trading.
Indicatore Pine Script®
di DevikSoni
1
Donchian Quest Research// ================================= Trend following strategy. // ================================= Strategy uses two channels. One channel - for opening trades. Second channel - for closing. Channel is similar to Donchian channel, but uses Close prices (not High/Low). That helps don't react to wicks of volatile candles (“stop hunting”). In most cases openings occur earlier than in Donchian channel. Closings occur only for real breakout. // ================================= Strategy waits for beginning of trend - when price breakout of channel. Default length of both channels = 50 candles. Conditions of trading: - Open Long: If last Close = max Close for 50 closes. - Close Long: If last Close = min Close for 50 closes. - Open Short: If last Close = min Close for 50 closes. - Close Short: If last Close = max Close for 50 closes. // ================================= Color of lines: - black - channel for opening trade. - red - channel for closing trade. - yellow - entry price. - fuchsia - stoploss and breakeven. - vertical green - go Long. - vertical red - go Short. - vertical gray - close in end, don't trade anymore. // ================================= Order size calculated with ATR and volatility. You can't trade 1 contract in BTC and 1 contract in XRP - for example. They have different price and volatility, so 1 contract BTC not equal 1 contract XRP. Script uses universal calculation for every market. It is based on: - Risk - USD sum you ready to loss in one trade. It calculated as percent of Equity. - ATR indicator - measurement of volatility. With default setting your stoploss = 0.5 percent of equity: - If initial capital is 1000 USD and used parameter "Permit stop" - loss will be 5 USD (0.5 % of equity). - If your Equity rises to 2000 USD and used parameter "Permit stop"- loss will be 10 USD (0.5 % of Equity). // ================================= This Risk works only if you enable “Permit stop” parameter in Settings. If this parameter disabled - strategy works as reversal strategy: ⁃ If close Long - channel border works as stoploss and momentarily go Short. ⁃ If close Short - channel border works as stoploss and momentarily go Long. Channel borders changed dynamically. So sometime your loss will be greater than ‘Risk %’. Sometime - less than ‘Risk %’. If this parameter enabled - maximum loss always equal to 'Risk %'. This parameter also include breakeven: if profit % = Risk %, then move stoploss to entry price. // ================================= Like all trend following strategies - it works only in trend conditions. If no trend - slowly bleeding. There is no special additional indicator to filter trend/notrend. You need to trade every signal of strategy. Strategy gives many losses: ⁃ 30 % of trades will close with profit. ⁃ 70 % of trades will close with loss. ⁃ But profit from 30% will be much greater than loss from 70 %. Your task - patiently wait for it and don't use risky setting for position sizing. // ================================= Recommended timeframe - Daily. // ================================= Trend can vary in lengths. Selecting length of channels determine which trend you will be hunting: ⁃ 20/10 - from several days to several weeks. ⁃ 20/20 or 50/20 - from several weeks to several months. ⁃ 50/50 or 100/50 or 100/100 - from several months to several years. // ================================= Inputs (Settings): - Length: length of channel for trade opening/closing. You can choose 20/10, 20/20, 50/20, 50/50, 100/50, 100/100. Default value: 50/50. - Permit Long / Permit short: Longs are most profitable for this strategy. You can disable Shorts and enable Longs only. Default value: permit all directions. - Risk % of Equity: for position sizing used Equity percent. Don't use values greater than 5 % - it's risky. Default value: 0.5%. ⁃ ATR multiplier: this multiplier moves stoploss up or down. Big multiplier = small size of order, small profit, stoploss far from entry, low chance of stoploss. Small multiplier = big size of order, big profit, stop near entry, high chance of stoploss. Default value: 2. - ATR length: number of candles to calculate ATR indicator. It used for order size and stoploss. Default value: 20. - Close in end - to close active trade in the end (and don't trade anymore) or leave it open. You can see difference in Strategy Tester. Default value: don’t close. - Permit stop: use stop or go reversal. Default value: without stop, reversal strategy. // ================================= Properties (Settings): - Initial capital - 1000 USD. - Script don't uses 'Order size' - you need to change 'Risk %' in Inputs instead. - Script don't uses 'Pyramiding'. - 'Commission' 0.055 % and 'Slippage' 0 - this parameters are for crypto exchanges with perpetual contracts (for example Bybit). If use on other markets - set it accordingly to your exchange parameters. // ================================= Big dataset used for chart - 'BITCOIN ALL TIME HISTORY INDEX'. It gives enough trades to understand logic of script. It have several good trends. // =================================
Strategia Pine Script®
di sergeyen
16
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD) Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis The Revolutionary Concept: When Physics Meets Trading After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits. The Core Innovation: Ergodic Theory Applied to Markets What Makes Markets Ergodic or Non-Ergodic? In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading: Ergodic Markets (Mean-Reverting) - Time averages equal ensemble averages - Historical patterns repeat reliably - Price oscillates around equilibrium - Traditional indicators work well Non-Ergodic Markets (Trending) - Path dependency dominates - History doesn't predict future - Price creates new equilibrium levels - Momentum strategies excel The Mathematical Framework The Ergodic Score combines three critical divergences: Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3 Where: Price Divergence: How far current price deviates from market consensus Return Divergence: Momentum differential between instrument and market Volatility Divergence: Volatility regime misalignment Market Stress: Adaptive multiplier based on current conditions The Ensemble Analysis Revolution Beyond Single-Instrument Analysis Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach: Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves Filters False Signals: Requires broader market confirmation Identifies Regime Shifts: Detects when entire market structure changes Provides Context: Shows if moves are isolated or systemic Dynamic Threshold Adaptation Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions: Base Threshold = SMA(Ergodic Score, Lookback × 3) Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity Final Threshold = Smoothed(Base + Adaptive) This creates context-aware signals that remain effective across different market environments. The Confidence Engine: Know Your Signal Quality Multi-Factor Confidence Scoring Every signal receives a confidence score based on: Signal Clarity (0-35%): How decisively the ergodic threshold is crossed Momentum Strength (0-25%): Rate of ergodic change Volatility Alignment (0-20%): Whether volatility supports the signal Market Quality (0-20%): Price convergence and path dependency factors Real-Time Confidence Updates The Live Confidence metric continuously updates, showing: - Current opportunity quality - Market state clarity - Historical performance influence - Signal recency boost - Visual Intelligence System Adaptive Ergodic Field Bands Dynamic bands that expand and contract based on market state: Primary Color: Ergodic state (mean-reverting) Danger Color: Non-ergodic state (trending) Band Width: Expected price movement range Squeeze Indicators: Volatility compression warnings Quantum Wave Ribbons Triple EMA system (8, 21, 55) revealing market flow: Compressed Ribbons: Consolidation imminent Expanding Ribbons: Directional move developing Color Coding: Matches current ergodic state Phase Transition Signals Clear entry/exit markers at regime changes: Bull Signals: Ergodic restoration (mean reversion opportunity) Bear Signals: Ergodic break (trend following opportunity) Confidence Labels: Percentage showing signal quality Visual Intensity: Stronger signals = deeper colors Professional Dashboard Suite Main Analytics Panel (Top Right) Market State Monitor - Current regime (Ergodic/Non-Ergodic) - Ergodic score with threshold - Path dependency strength - Quantum coherence percentage Divergence Metrics - Price divergence with severity - Volatility regime classification - Strategy mode recommendation - Signal strength indicator Live Intelligence - Real-time confidence score - Color-coded risk levels - Dynamic strategy suggestions Performance Tracking (Left Panel) Signal Analytics - Total historical signals - Win rate with W/L breakdown - Current streak tracking - Closed trade counter Regime Analysis - Current market behavior - Bars since last signal - Recommended actions - Average confidence trends Strategy Command Center (Bottom Right) Adaptive Recommendations - Active strategy mode - Primary approach (mean reversion/momentum) - Suggested indicators ("weapons") - Entry/exit methodology - Risk management guidance - Comprehensive Input Guide Core Algorithm Parameters Analysis Period (10-100 bars) Scalping (10-15): Ultra-responsive, more signals, higher noise Day Trading (20-30): Balanced sensitivity and stability Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes Divergence Threshold (0.5-5.0) Hair Trigger (0.5-1.0): Catches every wiggle, many false signals Balanced (1.5-2.5): Good signal-to-noise ratio Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance Path Memory (20-200 bars) Short Memory (20-50): Recent behavior focus, quick adaptation Medium Memory (50-100): Balanced historical context Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag Signal Spacing (5-50 bars) Aggressive (5-10): Allows rapid-fire signals Normal (15-25): Prevents clustering, maintains flow Conservative (30-50): Major setups only Default: 15 - optimal trade frequency Ensemble Configuration Select markets for consensus analysis: SPY: Broad market sentiment QQQ: Technology leadership IWM: Small-cap risk appetite DIA: Blue-chip stability More instruments = stronger consensus but potentially diluted signals Visual Customization Color Themes (6 professional options): Quantum: Cyan/Pink - Modern trading aesthetic Matrix: Green/Red - Classic terminal look Heat: Blue/Red - Temperature metaphor Neon: Cyan/Magenta - High contrast Ocean: Turquoise/Coral - Calming palette Sunset: Red-orange/Teal - Warm gradients Display Controls: - Toggle each visual component - Adjust transparency levels - Scale dashboard text - Show/hide confidence scores - Trading Strategies by Market State - Ergodic State Strategy (Primary Color Bands) Market Characteristics - Price oscillates predictably - Support/resistance hold - Volume patterns repeat - Mean reversion dominates Optimal Approach Entry: Fade moves at band extremes Target: Middle band (equilibrium) Stop: Just beyond outer bands Size: Full confidence-based position Recommended Tools - RSI for oversold/overbought - Bollinger Bands for extremes - Volume profile for levels - Non-Ergodic State Strategy (Danger Color Bands) Market Characteristics - Price trends persistently - Levels break decisively - Volume confirms direction - Momentum accelerates Optimal Approach Entry: Breakout from bands Target: Trail with expanding bands Stop: Inside opposite band Size: Scale in with trend Recommended Tools - Moving average alignment - ADX for trend strength - MACD for momentum - Advanced Features Explained Quantum Coherence Metric Measures phase alignment between individual and ensemble behavior: 80-100%: Perfect sync - strong mean reversion setup 50-80%: Moderate alignment - mixed signals 0-50%: Decoherence - trending behavior likely Path Dependency Analysis Quantifies how much history influences current price: Low (<30%): Technical patterns reliable Medium (30-50%): Mixed influences High (>50%): Fundamental shift occurring Volatility Regime Classification Contextualizes current volatility: Normal: Standard strategies apply Elevated: Widen stops, reduce size Extreme: Defensive mode required Signal Strength Indicator Real-time opportunity quality: - Distance from threshold - Momentum acceleration - Cross-validation factors Risk Management Framework Position Sizing by Confidence 90%+ confidence = 100% position size 70-90% confidence = 75% position size 50-70% confidence = 50% position size <50% confidence = 25% or skip Dynamic Stop Placement Ergodic State: ATR × 1.0 from entry Non-Ergodic State: ATR × 2.0 from entry Volatility Adjustment: Multiply by current regime Multi-Timeframe Alignment - Check higher timeframe regime - Confirm ensemble consensus - Verify volume participation - Align with major levels What Makes EMD Unique Original Contributions First Ergodic Theory Trading Application: Transforms abstract physics into practical signals Ensemble Market Analysis: Revolutionary multi-market divergence system Adaptive Confidence Engine: Institutional-grade signal quality metrics Quantum Coherence: Novel market alignment measurement Smart Signal Management: Prevents clustering while maintaining responsiveness Technical Innovations Dynamic Threshold Adaptation: Self-adjusting sensitivity Path Memory Integration: Historical dependency weighting Stress-Adjusted Scoring: Market condition normalization Real-Time Performance Tracking: Built-in strategy analytics Optimization Guidelines By Timeframe Scalping (1-5 min) Period: 10-15 Threshold: 0.5-1.0 Memory: 20-30 Spacing: 5-10 Day Trading (5-60 min) Period: 20-30 Threshold: 1.5-2.5 Memory: 40-60 Spacing: 15-20 Swing Trading (1H-1D) Period: 40-60 Threshold: 2.0-3.0 Memory: 80-120 Spacing: 25-35 Position Trading (1D-1W) Period: 60-100 Threshold: 3.0-5.0 Memory: 100-200 Spacing: 40-50 By Market Condition Trending Markets - Increase threshold - Extend memory - Focus on breaks Ranging Markets - Decrease threshold - Shorten memory - Focus on restores Volatile Markets - Increase spacing - Raise confidence requirement - Reduce position size - Integration with Other Analysis - Complementary Indicators For Ergodic States - RSI divergences - Bollinger Band squeezes - Volume profile nodes - Support/resistance levels For Non-Ergodic States - Moving average ribbons - Trend strength indicators - Momentum oscillators - Breakout patterns - Fundamental Alignment - Check economic calendar - Monitor sector rotation - Consider market themes - Evaluate risk sentiment Troubleshooting Guide Too Many Signals: - Increase threshold - Extend signal spacing - Raise confidence minimum Missing Opportunities - Decrease threshold - Reduce signal spacing - Check ensemble settings Poor Win Rate - Verify timeframe alignment - Confirm volume participation - Review risk management Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose. This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques. Transform market chaos into trading clarity with Ergodic Market Divergence. Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
7
AI InfinityAI Infinity – Multidimensional Market Analysis Overview The AI Infinity indicator combines multiple analysis tools into a single solution. Alongside dynamic candle coloring based on MACD and Stochastic signals, it features Alligator lines, several RSI lines (including glow effects), and optionally enabled EMAs (20/50, 100, and 200). Every module is individually configurable, allowing traders to tailor the indicator to their personal style and strategy. Important Note (Disclaimer) This indicator is provided for educational and informational purposes only. It does not constitute financial or investment advice and offers no guarantee of profit. Each trader is responsible for their own trading decisions. Past performance does not guarantee future results. Please review the settings thoroughly and adjust them to your personal risk profile; consider supplementary analyses or professional guidance where appropriate. Functionality & Components 1. Candle Coloring (MACD & Stochastic) Objective: Provide an immediate visual snapshot of the market’s condition. Details: MACD Signal: Used to identify bullish and bearish momentum. Stochastic: Detects overbought and oversold zones. Color Modes: Offers both a simple (two-color) mode and a gradient mode. 2. Alligator Lines Objective: Assist with trend analysis and determining the market’s current phase. Details: Dynamic SMMA Lines (Jaw, Teeth, Lips) that adjust based on volatility and market conditions. Multiple Lengths: Each element uses a separate smoothing period (13, 8, 5). Transparency: You can show or hide each line independently. 3. RSI Lines & Glow Effects Objective: Display the RSI values directly on the price chart so critical levels (e.g., 20, 50, 80) remain visible at a glance. Details: RSI Scaling: The RSI is plotted in the chart window, eliminating the need to switch panels. Dynamic Transparency: A pulse effect indicates when the RSI is near critical thresholds. Glow Mode: Choose between “Direct Glow” or “Dynamic Transparency” (based on ATR distance). Custom RSI Length: Freely adjustable (default is 14). 4. Optional EMAs (20/50, 100, 200) Objective: Utilize moving averages for trend assessment and identifying potential support/resistance areas. Details: 20/50 EMA: Select which one to display via a dropdown menu. 100 EMA & 200 EMA: Independently enabled. Color Logic: Automatically green (price > EMA) or red (price < EMA). Each EMA’s up/down color is customizable. Configuration Options Candle Coloring: Choose between Gradient or Simple mode. Adjust the color scheme for bullish/bearish candles. Transparency is dynamically based on candle body size and Stochastic state. Alligator Lines: Toggle each line (Jaw/Teeth/Lips) on or off. Select individual colors for each line. RSI Section: RSI Length can be set as desired. RSI lines (0, 20, 50, 80, 100) with user-defined colors and transparency (pulse effect). Additional lines (e.g., RSI 40/60) are also available. Glow Effects: Switch between “Dynamic Transparency” (ATR-based) and “Direct Glow”. Independently applied to the RSI 100 and RSI 0 lines. EMAs (20/50, 100, 200): Activate each one as needed. Each EMA’s up/down color can be customized. Example Use Cases Trend Identification: Enable Alligator lines to gauge general trend direction through SMMA signals. Timing: Watch the Candle Colors to spot potential overbought or oversold conditions. Fine-Tuning: Utilize the RSI lines to closely monitor important thresholds (50 as a trend barometer, 80/20 as possible reversal zones). Filtering: Enable a 50 EMA to quickly see if the market is trading above (bullish) or below (bearish) it.
Indicatore Pine Script®
di Jonny86FXPro
2
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs. - The Mathematical Foundation: Pointwise Mutual Information Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context: Event A: Volume spikes occurring (high trading activity) Event B: Price being at specific levels The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B))) Where: P(A,B) = Probability of volume spikes occurring at specific price levels P(A) = Probability of volume spikes occurring anywhere P(B) = Probability of price being at specific levels High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones. - Why PMI Outperforms Traditional Methods Subjective interpretation: What one trader sees as significant, another might ignore Confirmation bias: Tendency to see patterns that confirm existing beliefs Inconsistent criteria: No standardized definition of "significant" volume or price action Static analysis: Doesn't adapt to changing market conditions No strength measurement: Can't quantify how "strong" a level truly is PMI Advantages: ✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork ✅ Statistical Rigor: Levels backed by information theory and probability ✅ Strength Scoring: PMI scores rank levels by statistical significance ✅ Adaptive: Automatically adjusts to different market volatility regimes ✅ Eliminates Bias: Computer-calculated, removing human interpretation errors ✅ Market Structure Aware: Reveals the underlying order flow concentrations - How It Works Data Processing Pipeline: Volume Analysis: Identifies volume spikes using configurable thresholds Price Binning: Divides price range into discrete levels for analysis Co-occurrence Calculation: Measures how often volume spikes happen at each price level PMI Computation: Calculates statistical significance for each price level Level Filtering: Shows only levels exceeding minimum PMI thresholds Dynamic Updates: Refreshes levels periodically while maintaining historical traces Visual System: Current Levels: Bright, thick lines with PMI scores - your actionable levels Historical Traces: Faded previous levels showing market structure evolution Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted) Color Coding: Green for support, red for resistance Info Table: Real-time display of strongest levels with scores - Indicator Settings: Core Parameters Lookback Period (Default: 200) Lower (50-100): More responsive to recent price action, catches short-term levels Higher (300-500): Focuses on major historical levels, more stable but less responsive Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500) Volume Spike Threshold (Default: 1.5) Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3) Price Bins (Default: 50) Lower (20-30): Broader price zones, less precise but captures wider areas Higher (70-100): More granular levels, precise but may be overly specific Volatility dependent: High volatility assets benefit from more bins (70+) Minimum PMI Score (Default: 0.5) Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view Higher (1.0-2.0): Only statistically strong levels, cleaner chart Progressive filtering: Start with 0.5, increase if too cluttered Max Levels to Show (Default: 8) Fewer (3-5): Clean chart focusing on strongest levels only More (10-15): Comprehensive view but may clutter chart Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12) Historical Tracking Settings Update Frequency (Default: 20 bars) Lower (5-10): More frequent updates, captures rapid market changes Higher (50-100): Less frequent updates, focuses on major structural shifts Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+) Show Historical Levels (Default: True) Enables the "breadcrumb trail" effect showing evolution of support/resistance Disable for cleaner charts focusing only on current levels Max Historical Marks (Default: 50) Lower (20-30): Less memory usage, shorter history Higher (100-200): Longer historical context but more resource intensive Fade Strength (Default: 0.8) Lower (0.5-0.6): Historical levels more visible Higher (0.9-0.95): Historical levels very subtle Visual Settings Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level - Most Effective Usage Strategies For Day Trading: Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15 Use PMI levels as bounce/rejection points for scalp entries Higher PMI scores (>1.5) offer better probability setups Watch for volume spike confirmations at levels For Swing Trading: Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30 Enter on pullbacks to high PMI support levels Target next resistance level with PMI score >1.0 Hold through minor levels, exit at major PMI levels For Position Trading: Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+ Focus on PMI scores >2.0 for major structural levels Use for portfolio entry/exit decisions Combine with fundamental analysis for timing - Trading Applications: Entry Strategies: PMI Bounce Trades Price approaches high PMI support level (>1.0) Wait for volume spike confirmation (orange triangles) Enter long on bullish price action at the level Stop loss just below the PMI level Target: Next PMI resistance level PMI Breakout Trades Price consolidates near high PMI level Volume increases (watch for orange triangles) Enter on decisive break with volume Previous resistance becomes new support Target: Next major PMI level PMI Rejection Trades Price approaches PMI resistance with momentum Watch for rejection signals and volume spikes Enter short on failure to break through Stop above the PMI level Target: Next PMI support level Risk Management: Stop Loss Placement Place stops 0.1-0.5% beyond PMI levels (adjust for volatility) Higher PMI scores warrant tighter stops Use ATR-based stops for volatile assets Position Sizing Larger positions at PMI levels >2.0 (highest conviction) Smaller positions at PMI levels 0.5-1.0 (lower conviction) Scale out at multiple PMI targets - Key Warning Signs & What to Watch For Red Flags: 🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading 🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale 🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning 🚨 Outdated Levels: Historical traces are reference only, not tradeable Optimization Tips: ✅ Regular Recalibration: Adjust parameters monthly based on market regime changes ✅ Volume Context: Always check for recent volume activity at PMI levels ✅ Multiple Timeframes: Confirm PMI levels across different timeframes ✅ Market Conditions: Higher thresholds during high volatility periods Interpreting PMI Scores PMI Score Ranges: 0.5-1.0: Moderate statistical significance, proceed with caution 1.0-1.5: Good significance, reliable for most trading strategies 1.5-2.0: Strong significance, high-confidence trade setups 2.0+: Very strong significance, institutional-grade levels Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
Indicatore Pine Script®
di EdgeTerminal
Mandelbrot-Fibonacci Cascade Vortex (MFCV)Mandelbrot-Fibonacci Cascade Vortex (MFCV) - Where Chaos Theory Meets Sacred Geometry A Revolutionary Synthesis of Fractal Mathematics and Golden Ratio Dynamics What began as an exploration into Benoit Mandelbrot's fractal market hypothesis and the mysterious appearance of Fibonacci sequences in nature has culminated in a groundbreaking indicator that reveals the hidden mathematical structure underlying market movements. This indicator represents months of research into chaos theory, fractal geometry, and the golden ratio's manifestation in financial markets. The Theoretical Foundation Mandelbrot's Fractal Market Hypothesis Traditional efficient market theory assumes normal distributions and random walks. Mandelbrot proved markets are fractal - self-similar patterns repeating across all timeframes with power-law distributions. The MFCV implements this through: Hurst Exponent Calculation: H = log(R/S) / log(n/2) Where: R = Range of cumulative deviations S = Standard deviation n = Period length This measures market memory: H > 0.5: Trending (persistent) behavior H = 0.5: Random walk H < 0.5: Mean-reverting (anti-persistent) behavior Fractal Dimension: D = 2 - H This quantifies market complexity, where higher dimensions indicate more chaotic behavior. Fibonacci Vortex Theory Markets don't move linearly - they spiral. The MFCV reveals these spirals using Fibonacci sequences: Vortex Calculation: Vortex(n) = Price + sin(bar_index × φ / Fn) × ATR(Fn) × Volume_Factor Where: φ = 0.618 (golden ratio) Fn = Fibonacci number (8, 13, 21, 34, 55) Volume_Factor = 1 + (Volume/SMA(Volume,50) - 1) × 0.5 This creates oscillating spirals that contract and expand with market energy. The Volatility Cascade System Markets exhibit volatility clustering - Mandelbrot's "Noah Effect." The MFCV captures this through cascading volatility bands: Cascade Level Calculation: Level(i) = ATR(20) × φ^i Each level represents a different fractal scale, creating a multi-dimensional view of market structure. The golden ratio spacing ensures harmonic resonance between levels. Implementation Architecture Core Components: Fractal Analysis Engine Calculates Hurst exponent over user-defined periods Derives fractal dimension for complexity measurement Identifies market regime (trending/ranging/chaotic) Fibonacci Vortex Generator Creates 5 independent spiral oscillators Each spiral follows a Fibonacci period Volume amplification creates dynamic response Cascade Band System Up to 8 volatility levels Golden ratio expansion between levels Dynamic coloring based on fractal state Confluence Detection Identifies convergence of vortex and cascade levels Highlights high-probability reversal zones Real-time confluence strength calculation Signal Generation Logic The MFCV generates two primary signal types: Fractal Signals: Generated when: Hurst > 0.65 (strong trend) AND volatility expanding Hurst < 0.35 (mean reversion) AND RSI < 35 Trend strength > 0.4 AND vortex alignment Cascade Signals: Triggered by: RSI > 60 AND price > SMA(50) AND bearish vortex RSI < 40 AND price < SMA(50) AND bullish vortex Volatility expansion AND trend strength > 0.3 Both signals implement a 15-bar cooldown to prevent overtrading. Advanced Input System Mandelbrot Parameters: Cascade Levels (3-8): Controls number of volatility bands Crypto: 5-7 (high volatility) Indices: 4-5 (moderate volatility) Forex: 3-4 (low volatility) Hurst Period (20-200): Lookback for fractal calculation Scalping: 20-50 Day Trading: 50-100 Swing Trading: 100-150 Position Trading: 150-200 Cascade Ratio (1.0-3.0): Band width multiplier 1.618: Golden ratio (default) Higher values for trending markets Lower values for ranging markets Fractal Memory (21-233): Fibonacci retracement lookback Uses Fibonacci numbers for harmonic alignment Fibonacci Vortex Settings: Spiral Periods: Comma-separated Fibonacci sequence Fast: "5,8,13,21,34" (scalping) Standard: "8,13,21,34,55" (balanced) Extended: "13,21,34,55,89" (swing) Rotation Speed (0.1-2.0): Controls spiral oscillation frequency 0.618: Golden ratio (balanced) Higher = more signals, more noise Lower = smoother, fewer signals Volume Amplification: Enables dynamic spiral expansion Essential for stocks and crypto Disable for forex (no central volume) Visual System Architecture Cascade Bands: Multi-level volatility envelopes Gradient coloring from primary to secondary theme Transparency increases with distance from price Fill between bands shows fractal structure Vortex Spirals: 5 Fibonacci-period oscillators Blue above price (bullish pressure) Red below price (bearish pressure) Multiple display styles: Lines, Circles, Dots, Cross Dynamic Fibonacci Levels: Auto-updating retracement levels Smart update logic prevents disruption near levels Distance-based transparency (closer = more visible) Updates every 50 bars or on volatility spikes Confluence Zones: Highlighted boxes where indicators converge Stronger confluence = stronger support/resistance Key areas for reversal trades Professional Dashboard System Main Fractal Dashboard: Displays real-time: Hurst Exponent with market state Fractal Dimension with complexity level Volatility Cascade status Vortex rotation impact Market regime classification Signal strength percentage Active indicator levels Vortex Metrics Panel: Shows: Individual spiral deviations Convergence/divergence metrics Real-time vortex positioning Fibonacci period performance Fractal Metrics Display: Tracks: Dimension D value Market complexity rating Self-similarity strength Trend quality assessment Theory Guide Panel: Educational reference showing: Mandelbrot principles Fibonacci vortex concepts Dynamic trading suggestions Trading Applications Trend Following: High Hurst (>0.65) indicates strong trends Follow cascade band direction Use vortex spirals for entry timing Exit when Hurst drops below 0.5 Mean Reversion: Low Hurst (<0.35) signals reversal potential Trade toward vortex spiral convergence Use Fibonacci levels as targets Tighten stops in chaotic regimes Breakout Trading: Monitor cascade band compression Watch for vortex spiral alignment Volatility expansion confirms breakouts Use confluence zones for targets Risk Management: Position size based on fractal dimension Wider stops in high complexity markets Tighter stops when Hurst is extreme Scale out at Fibonacci levels Market-Specific Optimization Cryptocurrency: Cascade Levels: 5-7 Hurst Period: 50-100 Rotation Speed: 0.786-1.2 Enable volume amplification Stock Indices: Cascade Levels: 4-5 Hurst Period: 80-120 Rotation Speed: 0.5-0.786 Moderate cascade ratio Forex: Cascade Levels: 3-4 Hurst Period: 100-150 Rotation Speed: 0.382-0.618 Disable volume amplification Commodities: Cascade Levels: 4-6 Hurst Period: 60-100 Rotation Speed: 0.5-1.0 Seasonal adjustment consideration Innovation and Originality The MFCV represents several breakthrough innovations: First Integration of Mandelbrot Fractals with Fibonacci Vortex Theory Unique synthesis of chaos theory and sacred geometry Novel application of Hurst exponent to spiral dynamics Dynamic Volatility Cascade System Golden ratio-based band expansion Multi-timeframe fractal analysis Self-adjusting to market conditions Volume-Amplified Vortex Spirals Revolutionary spiral calculation method Dynamic response to market participation Multiple Fibonacci period integration Intelligent Signal Generation Cooldown system prevents overtrading Multi-factor confirmation required Regime-aware signal filtering Professional Analytics Dashboard Institutional-grade metrics display Real-time fractal analysis Educational integration Development Journey Creating the MFCV involved overcoming numerous challenges: Mathematical Complexity: Implementing Hurst exponent calculations efficiently Visual Clarity: Displaying multiple indicators without cluttering Performance Optimization: Managing array operations and calculations Signal Quality: Balancing sensitivity with reliability User Experience: Making complex theory accessible The result is an indicator that brings PhD-level mathematics to practical trading while maintaining visual elegance and usability. Best Practices and Guidelines Start Simple: Use default settings initially Match Timeframe: Adjust parameters to your trading style Confirm Signals: Never trade MFCV signals in isolation Respect Regimes: Adapt strategy to market state Manage Risk: Use fractal dimension for position sizing Color Themes Six professional themes included: Fractal: Balanced blue/purple palette Golden: Warm Fibonacci-inspired colors Plasma: Vibrant modern aesthetics Cosmic: Dark mode optimized Matrix: Classic green terminal Fire: Heat map visualization Disclaimer This indicator is for educational and research purposes only. It does not constitute financial advice. While the MFCV reveals deep market structure through advanced mathematics, markets remain inherently unpredictable. Past performance does not guarantee future results. The integration of Mandelbrot's fractal theory with Fibonacci vortex dynamics provides unique market insights, but should be used as part of a comprehensive trading strategy. Always use proper risk management and never risk more than you can afford to lose. Acknowledgments Special thanks to Benoit Mandelbrot for revolutionizing our understanding of markets through fractal geometry, and to the ancient mathematicians who discovered the golden ratio's universal significance. "The geometry of nature is fractal... Markets are fractal too." - Benoit Mandelbrot Revealing the Hidden Order in Market Chaos Trade with Mathematical Precision. Trade with MFCV. — Created with passion for the TradingView community Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
26
Parameter Free RSI [InvestorUnknown]The Parameter Free RSI (PF-RSI) is an innovative adaptation of the traditional Relative Strength Index (RSI), a widely used momentum oscillator that measures the speed and change of price movements. Unlike the standard RSI, which relies on a fixed lookback period (typically 14), the PF-RSI dynamically adjusts its calculation length based on real-time market conditions. By incorporating volatility and the RSI's deviation from its midpoint (50), this indicator aims to provide a more responsive and adaptable tool for identifying overbought/oversold conditions, trend shifts, and momentum changes. This adaptability makes it particularly valuable for traders navigating diverse market environments, from trending to ranging conditions. PF-RSI offers a suite of customizable features, including dynamic length variants, smoothing options, visualization tools, and alert conditions. Key Features 1. Dynamic RSI Length Calculation The cornerstone of the PF-RSI is its ability to adjust the RSI calculation period dynamically, eliminating the need for a static parameter. The length is computed using two primary factors: Volatility: Measured via the standard deviation of past RSI values. Distance from Midpoint: The absolute deviation of the RSI from 50, reflecting the strength of bullish or bearish momentum. The indicator offers three variants for calculating this dynamic length, allowing users to tailor its responsiveness: Variant I (Aggressive): Increases the length dramatically based on volatility and a nonlinear scaling of the distance from 50. Ideal for traders seeking highly sensitive signals in fast-moving markets. Variant II (Moderate): Combines volatility with a scaled distance from 50, using a less aggressive adjustment. Strikes a balance between responsiveness and stability, suitable for most trading scenarios. Variant III (Conservative): Applies a linear combination of volatility and raw distance from 50. Offers a stable, less reactive length adjustment for traders prioritizing consistency. // Function that returns a dynamic RSI length based on past RSI values // The idea is to make the RSI length adaptive using volatility (stdev) and distance from the RSI midpoint (50) // Different "variant" options control how aggressively the length changes parameter_free_length(free_rsi, variant) => len = switch variant // Variant I: Most aggressive adaptation // Uses standard deviation scaled by a nonlinear factor of distance from 50 // Also adds another distance-based term to increase length more dramatically "I" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) * math.pow(1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100), 2) ) + ( math.ceil(math.abs(free_rsi - 50)) * (1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100)) ) // Variant II: Moderate adaptation // Adds the standard deviation and a distance-based scaling term (less nonlinear) "II" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) + ( math.ceil(math.abs(free_rsi - 50)) * (1 + (math.ceil(math.abs(50 - (free_rsi - 50))) / 100)) ) ) // Variant III: Least aggressive adaptation // Simply adds standard deviation and raw distance from 50 (linear scaling) "III" => math.ceil( ta.stdev(free_rsi, math.ceil(free_rsi)) + math.ceil(math.abs(free_rsi - 50)) ) 2. Smoothing Options To refine the dynamic RSI and reduce noise, the PF-RSI provides smoothing capabilities: Smoothing Toggle: Enable or disable smoothing of the dynamic length used for RSI. Smoothing MA Type for RSI MA: Choose between SMA and EMA Smoothing Length Options for RSI MA: Full: Uses the entire calculated dynamic length. Half: Applies half of the dynamic length for smoother output. SQRT: Uses the square root of the dynamic length, offering a compromise between responsiveness and smoothness. The smoothed RSI is complemented by a separate moving average (MA) of the RSI itself, further enhancing signal clarity. 3. Visualization Tools The PF-RSI includes visualization options to help traders interpret market conditions at a glance. Plots: Dynamic RSI: Displayed as a white line, showing the adaptive RSI value. RSI Moving Average: Plotted in yellow, providing a smoothed reference for trend and momentum analysis. Dynamic Length: A secondary plot (in faint white) showing how the calculation period evolves over time. Histogram: Represents the RSI’s position relative to 50, with color gradients. Fill Area: The space between the RSI and its MA is filled with a gradient (green for RSI > MA, red for RSI < MA), highlighting momentum shifts. Customizable bar colors on the price chart reflect trend and momentum: Trend (Raw RSI): Green (RSI > 50), Red (RSI < 50). Trend (RSI MA): Green (MA > 50), Red (MA < 50). Trend (Raw RSI) + Momentum: Adds momentum shading (lighter green/red when RSI and MA diverge). Trend (RSI MA) + Momentum: Similar, but based on the MA’s trend. Momentum: Green (RSI > MA), Red (RSI < MA). Off: Disables bar coloring. Intrabar Updating: Optional real-time updates within each bar for enhanced responsiveness. 4. Alerts The PF-RSI supports customizable alerts to keep traders informed of key events. Trend Alerts: Raw RSI: Triggers when the RSI crosses above (uptrend) or below (downtrend) 50. RSI MA: Triggers when the moving average crosses 50. Off: Disables trend alerts. Momentum Alerts: Triggers when the RSI crosses its moving average, indicating rising (RSI > MA) or declining (RSI < MA) momentum. Alerts are fired once per bar close, with descriptive messages including the ticker symbol (e.g., " Uptrend on: AAPL"). How It Works The PF-RSI operates in a multi-step process: Initialization On the first run, it calculates a standard RSI with a 14-period length to seed the dynamic calculation. Dynamic Length Computation Once seeded, the indicator switches to a dynamic length based on the selected variant, factoring in volatility and distance from 50. If smoothing is enabled, the length is further refined using an SMA. RSI Calculation The adaptive RSI is computed using the dynamic length, ensuring it reflects current market conditions. Moving Average A separate MA (SMA or EMA) is applied to the RSI, with a length derived from the dynamic length (Full, Half, or SQRT). Visualization and Alerts The results are plotted, and alerts are triggered based on user settings. This adaptive approach minimizes lag in fast markets and reduces false signals in choppy conditions, offering a significant edge over fixed-period RSI implementations. Why Use PF-RSI? The Parameter Free RSI stands out by eliminating the guesswork of selecting an RSI period. Its dynamic length adjusts to market volatility and momentum, providing timely signals without manual tweaking.
Indicatore Pine Script®
di InvestorUnknown
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