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Indicatori e strategie

Standard Deviation Bands ## 📊 Standard Deviation Bands (SDB) - Multi-Layer Statistical Channel Indicator ### 🎯 Overview The Standard Deviation Bands indicator is a sophisticated technical analysis tool based on statistical principles that creates dynamic support and resistance channels by calculating price standard deviations. Unlike traditional Bollinger Bands, this indicator employs a **separate high-low calculation approach**, providing more precise boundary positioning for upper and lower bands. ### ✨ Key Features **🔹 Separate High-Low Algorithm** - Upper bands calculated using High price moving averages and standard deviations - Lower bands calculated using Low price moving averages and standard deviations - Delivers more accurate price boundary identification **🔹 Multi-Layer Standard Deviation Levels** - **±1σ**: Basic standard deviation channel for capturing regular price fluctuations - **±1σ±2σ**: Dual-layer channels for identifying medium-strength support/resistance - **±1σ±2σ±3σ**: Triple-layer channels providing complete price volatility analysis framework **🔹 Flexible Moving Average Options** - SMA (Simple Moving Average) - EMA (Exponential Moving Average) - WMA (Weighted Moving Average) - RMA (Rolling Moving Average) - VWMA (Volume Weighted Moving Average) ### 🛠️ Parameter Configuration | Parameter | Default | Description | |-----------|---------|-------------| | Length | 30 | Calculation period length | | Multiplication Factor | 1.8 | Standard deviation multiplier | | Top Band Input Data | High | Data source for upper bands | | Bottom Band Input Data | Low | Data source for lower bands | | Moving Average Type | SMA | Type of moving average | | Show Levels | ±1σ | Standard deviation levels to display | | Show Bands | true | Whether to display channel lines | | Show Moving Averages | true | Whether to display basis moving averages | ### 📈 Trading Applications **Support & Resistance Identification** - Monitor selling opportunities when price approaches upper bands - Look for buying opportunities when price approaches lower bands - Multi-layer channels provide different strength support/resistance references **Trend Strength Assessment** - Channel width reflects market volatility - Price breakouts beyond outer channels may signal strong trends - Price oscillation within inner channels indicates consolidation **Entry Timing Optimization** - Combine with candlestick patterns at channel boundaries for reversal signals - Post-breakout pullbacks provide low-risk entry opportunities - Enhanced effectiveness when used across multiple timeframes ### 🎨 Visual Design - Purple 1σ channel lines for clear primary support/resistance identification - Orange 2σ channel lines marking medium-strength boundaries - Green 3σ channel lines indicating extreme value boundaries - Customizable colors and line widths to suit different chart styles ### 💡 Usage Recommendations 1. **Period Selection**: Use 15-30 periods for short-term trading, 50-100 for medium-long term 2. **Multiplier Adjustment**: Increase multiplier for high-volatility instruments, decrease for stable ones 3. **Level Selection**: Beginners should start with ±1σ, advance to multi-layer after gaining experience 4. **Combined Usage**: Enhanced effectiveness when combined with volume, RSI, and other indicators ### 🔧 Technical Advantages - Built on solid statistical mathematical foundation - Separate high-low calculations provide more precise boundary positioning - Multi-layer design adapts to different trading styles - Flexible parameter adjustment suitable for various market conditions --- **Applicable Markets**: Stocks, Forex, Cryptocurrencies, Futures, and all financial markets **Applicable Timeframes**: 1-minute to monthly charts **Skill Level**: Beginner to advanced traders *Disclaimer: This indicator is for technical analysis reference only and does not constitute investment advice. Trading involves risks; invest cautiously.*
Indicatore Pine Script®
di softfn
ORB 15m + MAs (v4.1)Session ORB Live Pro — Pre-Market Boxes & MA Suite (v4.1) What it is A precision Opening Range Breakout (ORB) tool that anchors every session to one specific 15-minute candle—then projects that same high/low onto lower timeframes so your 1m/5m levels always match the source 15m bar. Perfect for scalpers who want session structure without drift. What it draws Asia, Pre-London, London, Pre-New York, New York session boxes. On 15m: only the high/low of the first 15-minute bar of each window (optionally persists for extra bars). On 5m: mirrors the same 15m range, visible up to 10 bars. On 1m: mirrors the same 15m range, visible up to 15 bars. Levels update live while the 15m candle is forming, then lock. Fully editable windows (easy UX) Change session times with TradingView’s native input.session fields using the familiar format HHMM-HHMM:1234567. You can tweak each window independently: Asia Pre-London London Pre-New York New York Multi-TF logic (no guesswork) Designed to show only on 1m, 5m, 15m (by default). 15m = ground truth. Lower timeframes never “recalculate a different range”—they mirror the 15m bar for that session, exactly. Alerts Optional breakout alerts when price closes above/below the session range. Clean visuals Per-session color controls (box + lines). Boxes extend only for the configured number of bars per timeframe, keeping charts uncluttered. Built-in MA suite SMA 50 and RMA 200. Three extra MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, width, and style (line, stepline, circles). Why traders like it Consistency: Lower-TF ranges always match the 15m source bar. Speed: You see structure immediately—no waiting for N bars. Control: Edit session times directly; tune how long boxes stay on chart per TF. Clarity: Minimal, purposeful plotting with alerts when it matters. Quick start Set your session times via the five input.session fields. Choose how long boxes persist on 1m/5m/15m. Enable alerts if you want instant breakout notifications. (Optional) Configure the MA suite for trend/bias context. Best for Intraday traders and scalpers who rely on repeatable session behavior and demand exact cross-TF alignment of ORB levels.
Indicatore Pine Script®
di CarlosVillacis82
Cost Basis of DCA Strategy (Enhanced)“Cost Basis of DCA Strategy (Enhanced): An Analytical Tool for Smarter DCA Investing” The indicator designed here serves as a comprehensive analytical tool for evaluating a Dollar-Cost Averaging (DCA) strategy. Instead of merely recording scattered buy transactions, it integrates all purchases into a clear framework that reveals the real cost basis, portfolio performance, and capital allocation. Its primary function is to transform the concept of DCA from a mechanical process into a measurable and strategic decision-making system. At the foundation of its operation, the user provides essential inputs such as the initial capital, the price and size of each buy transaction, and an optional sell price for hypothetical exit scenarios. With these inputs, the indicator calculates how many units were acquired in total, how much money was spent, and what the average cost per unit—the cost basis—truly is. This cost basis acts as the anchor for evaluating whether the market price has moved in favor or against the investor’s average entry point. Beyond this, the indicator goes further by calculating both realized and unrealized dimensions of performance. It presents the current market value of holdings based on live price data and contrasts it with the total cost to derive unrealized profit or loss in both absolute terms and percentages. If the user sets a sell price, the tool simulates a full liquidation scenario, displaying the expected profit or loss should all holdings be sold at that level. This dual perspective enables the user to examine their strategy both from a present-value standpoint and a forward-looking one. In addition, the indicator keeps track of remaining capital—the portion of initial funds not yet deployed into purchases—thus bridging the gap between portfolio construction and financial planning. It also reports the number of buy transactions, reinforcing awareness of execution discipline in DCA. For visualization, the system is not confined to numbers alone. It marks each buy price directly on the price chart with distinct horizontal lines, labeled for clarity. This allows the trader to see not just statistics in a table but also the spatial relationship between historical entry points and ongoing market dynamics. In essence, this indicator reframes the practice of DCA into a structured analytical exercise. It empowers investors to understand the true average entry cost, evaluate ongoing performance, and simulate future outcomes under different price scenarios. By doing so, it elevates DCA from a passive habit into an active, data-driven investment methodology, allowing users to make more informed, confident, and strategically grounded decisions.
Indicatore Pine Script®
di Wongsakon
RSI: alternative derivationMost traders accept the Relative Strength Index (RSI) as a standard tool for measuring momentum. But what if RSI is actually a position indicator? This script introduces an alternative derivation of RSI, offering a fresh perspective on its true nature. Instead of relying on the traditional calculation of average gains and losses, this approach directly considers the price's position relative to its equilibrium (moving average), adjusted for volatility. While the final value remains identical to the standard RSI, this alternative derivation offers a completely new understanding of the indicator. Key components: Price (Close) Utilizes the closing price, consistent with the original RSI formula. normalization factor Transforms raw calculations into a fixed range between -1 and +1. normalization_factor = 1 / (Length - 1) EMA of Price Applies Wilder’s Exponential Moving Average (EMA) to the price, serving as the anchor point for measuring price position, similar to the traditional RSI formula. myEMA = ta.rma(close,Length) EMA of close-to-close absolute changes (unit of volatility) Adjusts for market differences by applying a Wilder’s EMA to absolute price changes (volatility), ensuring consistency across various assets. CC_vol = ta.rma(math.abs(close - close ),Length) Calculation Breakdown DISTANCE: Calculate the difference between the closing price and its Wilder's EMA. A positive value indicates the price is above the EMA; a negative value indicates it is below. distance = close - myEMA STANDARDIZED DISTANCE Divide the distance by the unit of volatility to standardize the measurement across different markets. S_distance = distance / CC_vol NORMALIZED DISTANCE Normalize the standardized distance using the normalization factor (n-1) to adjust for the lookback period. N_distance = S_distance * normalization_factor RSI Finally, scale the normalized distance to fit within the standard RSI range of 0 to 100. myRSI = 50 * (1 + N_distance) The final equation: RSI = 50 × What This Means for RSI Same RSI Values, Different Interpretation The standard RSI formula may obscure its true measurement, whereas this approach offers clarity. RSI primarily indicates the price's position relative to its equilibrium, rather than directly measuring momentum. RSI can still be used to analyze momentum, but in a more intuitive and well-informed way.
Indicatore Pine Script®
di AdaptiveRSI
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView. It allows you to: Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX. Calculate and display a dynamic Stop Loss based on ATR. Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1). Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R). Get a clear visual display of entries, SL, and TP with colored lines and labels. Receive automatic alerts for every signal or target reached. 📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Indicatore Pine Script®
di sufian97
KDJ Divergence Indicator(Regular & Hidden)📌 中文介绍 KDJ 背离指标（副图版，支持 Regular & Hidden） 这是一个基于 KDJ 指标 的背离检测工具，可以在副图中直观显示 Regular 背离（顶背离/底背离） 和 Hidden 背离（隐藏顶/隐藏底）。 功能特点： 可选计算基线：支持以 J 值 或 K 值 作为背离判定依据。 多种背离类型： Regular Bullish（底背离）：价格创新低，但指标不创新低 → 可能反弹。 Regular Bearish（顶背离）：价格创新高，但指标不创新高 → 可能回落。 Hidden Bullish（隐藏底背离）：价格不创新低，但指标创新低 → 可能延续上涨。 Hidden Bearish（隐藏顶背离）：价格不创新高，但指标创新高 → 可能延续下跌。 连线显示：在副图用线条连接前后两个背离点，帮助更直观地发现趋势变化。 自定义选项： 可选择是否显示 Regular / Hidden 背离。 可调整回溯范围（左侧/右侧/最大最小）。 可自定义颜色和信号样式。 报警提醒：背离出现时会触发报警。 适合： 波段交易者寻找趋势反转。 短线交易者捕捉关键拐点。 技术分析结合 KDJ 的交易策略。 📌 English Introduction KDJ Divergence Indicator (Sub-Chart, Regular & Hidden Supported) This is a KDJ-based divergence detection tool, plotted in a sub-window, that highlights Regular Divergences (Bullish/Bearish) and Hidden Divergences (Hidden Bullish/Hidden Bearish). Key Features: Selectable Oscillator Line: Choose between J or K line as the basis for divergence detection. Divergence Types: Regular Bullish: Price makes a lower low, but oscillator makes a higher low → potential rebound. Regular Bearish: Price makes a higher high, but oscillator makes a lower high → potential drop. Hidden Bullish: Price holds higher low, but oscillator makes a lower low → potential trend continuation upward. Hidden Bearish: Price holds lower high, but oscillator makes a higher high → potential trend continuation downward. Line Connections: Draws connecting lines between divergence points for better visual clarity. Customizable Settings: Enable/disable Regular & Hidden divergences. Adjustable left/right lookback and range filters. Custom colors and shapes for signals. Alert Ready: Alerts trigger when divergences are detected. Best for: Swing traders spotting trend reversals. Short-term traders catching turning points. Technical analysts using KDJ-based strategies.
Indicatore Pine Script®
di snakewyt
Combined Indicator - D (Optimized)// @description This indicator combines multiple technical analysis tools in a single view: // - Moving Averages: WMA 21 (short-term), EMA 50 (medium), EMA 125 (medium-long), and EMA 200 (long-term) // - Bollinger Bands: With configurable basis (SMA, EMA, WMA, etc.) and customizable standard deviation // - CAGR Calculation: Shows compound annual growth rate and total growth for the visible period // Moving averages help identify trends and dynamic support/resistance levels. Bollinger Bands indicate volatility // and potential overbought/oversold zones. CAGR provides long-term performance perspective. Optimized for better // performance with efficient calculations and reduced memory usage.
Indicatore Pine Script®
di AHORRO_INVERSION
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market. When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range. VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout. In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established. ⚡️ Basic Demonstration i.imgur.com As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel. It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling. ⚡️ Practical Usage VES is expected to be used for the following purposes. - Entry signal When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter. - Exit signal If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits. - Risk management If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size. For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading. i.imgur.com In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently. A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun. In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation. Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable. A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart. i.imgur.com This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend. The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal. The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating. Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway. On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes. The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside. From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short. On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential. VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location. ⚡️ Parameter Settings Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended. Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended. Scale: Adjusts the display scale. −30 is recommended. ⚡️ Conclusion Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance. ⚡️ Important Notes - VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results. - We strongly recommend using it together with price action analysis and support/resistance. - Confirmation across different timeframes improves reliability. - Effectiveness may vary depending on market conditions and liquidity. - Very illiquid instruments or newly listed assets may produce more noise. ⚡️ How to Get Access This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Indicatore Pine Script®
di lakshmivibha
Session ORB 15m Synced + Pre-Sessions + MAs (final v3)Session ORB Live Pro — Pre-Market Boxes & MA Suite Description (EN): Session ORB Live Pro is a Pine v6 indicator built for intraday traders who rely on Opening Range Breakouts. It draws session boxes for London, New York, and Asia—plus configurable Pre-London and Pre-New York windows—live from the very first candle (no waiting for 10 bars). The high/low levels update in real time, and optional breakout alerts fire the moment price closes beyond the range. To keep charts clean and relevant for scalping, the boxes auto-hide on chart timeframes above 20 minutes. Beyond ranges, the tool adds a compact moving-average suite: SMA-50 and RMA-200 out of the box, plus three fully customizable MAs (SMA/EMA/RMA/WMA/HMA) with selectable color, thickness, and style (line, stepline, circles). Each session and pre-session can be toggled on/off and tinted with its own color, so you can tailor the visual map of liquidity grabs and range breaks to your strategy. Key features Live ORB boxes for London, New York, Asia (no 10-bar delay). Pre-sessions: Pre-London & Pre-New York with independent time windows and colors. Auto visibility filter: boxes show only on ≤ 20m chart TF; hidden on higher TFs. Breakout alerts when price closes above/below the session range (ready for alert() rules). MA toolkit: SMA-50, RMA-200 + 3 user MAs (SMA/EMA/RMA/WMA/HMA) with color, style, and width. Clean inputs using input.session; robust, low-friction UX. How to use Set your ORB calculation timeframe (e.g., 15m) and choose which sessions/pre-sessions to display. Pick colors for each box and enable alerts if you want instant breakout notifications. Configure the MA suite for trend bias and dynamic S/R (e.g., SMA-50 for momentum, RMA-200 for bias). Trade the first clean break or the retest of the ORB extremes—your choice. The visual map updates tick by tick.
Indicatore Pine Script®
di CarlosVillacis82