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ZynIQ Pullback Zones Lite - (Lite Pack)Overview ZynIQ Pullback Zones Lite identifies dynamic EMA-based retracement areas inside trending markets. These zones highlight where price is most likely to pull back before continuing in the dominant direction. The tool is intentionally simple, visual, and designed to complement the rest of the ZynIQ Lite package without adding noise or complexity. This is a contextual tool — ideal for timing continuation entries, filtering counter-trend trades, and improving overall trend structure awareness. Key Features • Dynamic pullback zones using profile-based EMA + ATR • Smart trend detection with optional HTF confirmation • Fresh-touch recognition for potential continuation setups • Clean ZynIQ-themed visuals (teal/fuchsia zones) • Lightweight chart footprint for intraday and swing traders • ZynIQ Lite HUD with profile, trend and HTF status • Moveable watermark for clear branding on streams and screenshots • Alerts for long and short pullback opportunities Use Cases • Identifying pullback areas within established trends • Avoiding early entries during retracements • Timing continuation setups more cleanly • Filtering false breakouts and counter-trend traps • Combining with breakout or momentum tools for confluence • Works on crypto, forex, indices and commodities Notes This tool provides structure and context for pullback-based trend trading. It is not a standalone strategy and should be combined with your preferred confirmations and risk management rules.
Indicateur Pine Script®
par ZynIQ
RSI + MACD Day Trading Toolkit//@version=6 indicator("RSI + MACD Day Trading Toolkit", overlay = true) //────────────────────────────────────────────────────────────────────────────── // 1. INPUTS //────────────────────────────────────────────────────────────────────────────── // RSI settings rsiLength = input.int(14, "RSI Length") rsiOverbought = input.float(70, "RSI Overbought Level", minval = 50, maxval = 100) rsiOversold = input.float(30, "RSI Oversold Level", minval = 0, maxval = 50) // MACD settings (classic 12 / 26 / 9) macdFastLength = input.int(12, "MACD Fast Length") macdSlowLength = input.int(26, "MACD Slow Length") macdSignalLength = input.int(9, "MACD Signal Length") // Risk model selection riskModel = input.string("ATR", "Risk Model", options = ) // ATR-based SL/TP atrLength = input.int(14, "ATR Length") atrSLMult = input.float(1.5, "SL ATR Multiplier", minval = 0.1, step = 0.1) atrTPMult = input.float(2.5, "TP ATR Multiplier", minval = 0.1, step = 0.1) // Percent-based SL/TP (for scalping on very tight spreads) slPercent = input.float(0.5, "SL % (when Risk Model = Percent)", minval = 0.05, step = 0.05) tpPercent = input.float(1.0, "TP % (when Risk Model = Percent)", minval = 0.05, step = 0.05) // Visual / styling showSLTPLines = input.bool(true, "Plot Stop Loss / Take Profit Lines") //────────────────────────────────────────────────────────────────────────────── // 2. CORE INDICATORS: RSI & MACD //────────────────────────────────────────────────────────────────────────────── rsiValue = ta.rsi(close, rsiLength) // Manual MACD calculation (avoids tuple unpacking issues) macdFastEMA = ta.ema(close, macdFastLength) macdSlowEMA = ta.ema(close, macdSlowLength) macdValue = macdFastEMA - macdSlowEMA macdSignal = ta.ema(macdValue, macdSignalLength) macdHist = macdValue - macdSignal atrValue = ta.atr(atrLength) // Hide internal plots from price scale (still accessible if you change display) plot(rsiValue, "RSI", display = display.none) plot(macdValue, "MACD", display = display.none) plot(macdSignal, "MACD Sig", display = display.none) plot(macdHist, "MACD Hist", display = display.none) //────────────────────────────────────────────────────────────────────────────── // 3. SIGNAL LOGIC (ENTRY CONDITIONS) //────────────────────────────────────────────────────────────────────────────── // // Idea: // - LONG bias: RSI emerges from oversold AND MACD crosses above signal below zero // - SHORT bias: RSI falls from overbought AND MACD crosses below signal above zero // // Combines momentum (RSI) with trend confirmation (MACD). //────────────────────────────────────────────────────────────────────────────── // RSI events rsiBullCross = ta.crossover(rsiValue, rsiOversold) // RSI crosses UP out of oversold rsiBearCross = ta.crossunder(rsiValue, rsiOverbought) // RSI crosses DOWN from overbought // MACD crossover with trend filter macdBullCross = ta.crossover(macdValue, macdSignal) and macdValue < 0 // Bullish cross below zero-line macdBearCross = ta.crossunder(macdValue, macdSignal) and macdValue > 0 // Bearish cross above zero-line // Raw (ungated) entry signals rawLongSignal = rsiBullCross and macdBullCross rawShortSignal = rsiBearCross and macdBearCross //────────────────────────────────────────────────────────────────────────────── // 4. STATE MANAGEMENT (SIMULATED POSITION TRACKING) //────────────────────────────────────────────────────────────────────────────── // // position: 1 = long // -1 = short // 0 = flat // // We track entry price and SL/TP levels as if this were a strategy. // This is still an indicator – it just computes and plots the logic. //────────────────────────────────────────────────────────────────────────────── var int position = 0 var float longEntryPrice = na var float shortEntryPrice = na var float longSL = na var float longTP = na var float shortSL = na var float shortTP = na // Per-bar flags (for plotting / alerts) var bool longEntrySignal = false var bool shortEntrySignal = false var bool longExitSignal = false var bool shortExitSignal = false // Reset per-bar flags each bar longEntrySignal := false shortEntrySignal := false longExitSignal := false shortExitSignal := false //────────────────────────────────────────────────────────────────────────────── // 5. EXIT LOGIC (STOP LOSS / TAKE PROFIT / OPPOSITE SIGNAL) //────────────────────────────────────────────────────────────────────────────── // // Exits are evaluated BEFORE new entries on each bar. //────────────────────────────────────────────────────────────────────────────── // Stop-loss / take-profit hits for existing positions longStopHit = position == 1 and not na(longSL) and low <= longSL longTakeHit = position == 1 and not na(longTP) and high >= longTP shortStopHit = position == -1 and not na(shortSL) and high >= shortSL shortTakeHit = position == -1 and not na(shortTP) and low <= shortTP // Opposite signals can also close positions reverseToShort = position == 1 and rawShortSignal reverseToLong = position == -1 and rawLongSignal // Combine exit conditions longExitNow = longStopHit or longTakeHit or reverseToShort shortExitNow = shortStopHit or shortTakeHit or reverseToLong // Register exits and flatten position if longExitNow and position == 1 longExitSignal := true position := 0 longEntryPrice := na longSL := na longTP := na if shortExitNow and position == -1 shortExitSignal := true position := 0 shortEntryPrice := na shortSL := na shortTP := na //────────────────────────────────────────────────────────────────────────────── // 6. ENTRY LOGIC WITH RISK MODEL (SL/TP CALCULATION) //────────────────────────────────────────────────────────────────────────────── // // Only take a new trade when flat. // SL/TP are calculated relative to entry price using either ATR or Percent. //────────────────────────────────────────────────────────────────────────────── if position == 0 // Long entry if rawLongSignal position := 1 longEntryPrice := close if riskModel == "ATR" longSL := longEntryPrice - atrValue * atrSLMult longTP := longEntryPrice + atrValue * atrTPMult else // Percent model longSL := longEntryPrice * (1.0 - slPercent / 100.0) longTP := longEntryPrice * (1.0 + tpPercent / 100.0) longEntrySignal := true // Short entry else if rawShortSignal position := -1 shortEntryPrice := close if riskModel == "ATR" shortSL := shortEntryPrice + atrValue * atrSLMult shortTP := shortEntryPrice - atrValue * atrTPMult else // Percent model shortSL := shortEntryPrice * (1.0 + slPercent / 100.0) shortTP := shortEntryPrice * (1.0 - tpPercent / 100.0) shortEntrySignal := true //────────────────────────────────────────────────────────────────────────────── // 7. PLOTTING: ENTRIES, EXITS, STOPS & TARGETS //────────────────────────────────────────────────────────────────────────────── // Entry markers plotshape(longEntrySignal, title = "Long Entry", style = shape.triangleup, location = location.belowbar, color = color.new(color.lime, 0), size = size.small, text = "LONG") plotshape(shortEntrySignal, title = "Short Entry", style = shape.triangledown, location = location.abovebar, color = color.new(color.red, 0), size = size.small, text = "SHORT") // Exit markers (generic exits: SL, TP or reversal) plotshape(longExitSignal, title = "Long Exit", style = shape.xcross, location = location.abovebar, color = color.new(color.orange, 0), size = size.tiny, text = "LX") plotshape(shortExitSignal, title = "Short Exit", style = shape.xcross, location = location.belowbar, color = color.new(color.orange, 0), size = size.tiny, text = "SX") // Optional: show SL/TP levels on chart while in position plot(showSLTPLines and position == 1 ? longSL : na, title = "Long Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1) plot(showSLTPLines and position == 1 ? longTP : na, title = "Long Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1) plot(showSLTPLines and position == -1 ? shortSL : na, title = "Short Stop Loss", style = plot.style_linebr, color = color.new(color.red, 0), linewidth = 1) plot(showSLTPLines and position == -1 ? shortTP : na, title = "Short Take Profit", style = plot.style_linebr, color = color.new(color.lime, 0), linewidth = 1) //────────────────────────────────────────────────────────────────────────────── // 8. ALERT CONDITIONS //────────────────────────────────────────────────────────────────────────────── // // Configure TradingView alerts using these conditions. //────────────────────────────────────────────────────────────────────────────── // Entry alerts alertcondition(longEntrySignal, title = "Long Entry (RSI+MACD)", message = "RSI+MACD: Long entry signal") alertcondition(shortEntrySignal, title = "Short Entry (RSI+MACD)", message = "RSI+MACD: Short entry signal") // Exit alerts (by type: SL vs TP vs reversal) alertcondition(longStopHit, title = "Long Stop Loss Hit", message = "RSI+MACD: Long STOP LOSS hit") alertcondition(longTakeHit, title = "Long Take Profit Hit", message = "RSI+MACD: Long TAKE PROFIT hit") alertcondition(shortStopHit, title = "Short Stop Loss Hit", message = "RSI+MACD: Short STOP LOSS hit") alertcondition(shortTakeHit, title = "Short Take Profit Hit", message = "RSI+MACD: Short TAKE PROFIT hit") alertcondition(reverseToShort, title = "Long Exit by Reverse Signal", message = "RSI+MACD: Long exit by SHORT reverse signal") alertcondition(reverseToLong, title = "Short Exit by Reverse Signal", message = "RSI+MACD: Short exit by LONG reverse signal") //────────────────────────────────────────────────────────────────────────────── // 9. QUICK USAGE NOTES //────────────────────────────────────────────────────────────────────────────── // // - Indicador, não estratégia: ele simula posição, SL/TP e sinais de saída. // - Para backtest/auto, basta portar a mesma lógica para um script `strategy()` // usando `strategy.entry` e `strategy.exit`. // - Em day trade, teste ATR vs Percent e ajuste os multiplicadores ao ativo. //──────────────────────────────────────────────────────────────────────────────
Indicateur Pine Script®
par allanjrbraz
MPT Efficient FrontierAMEX:VT Efficient Frontier: The Tool for Creating a "Superb" Portfolio The Efficient Frontier is a vital concept in the world of investment that helps investors build a Portfolio—a collection of investment assets—that provides the best possible return for a given level of acceptable risk. This concept stems from the Modern Portfolio Theory (MPT), developed by Nobel laureate in Economics, Harry Markowitz. What is the Efficient Frontier? Imagine all the possible investment combinations you can put together. Each portfolio combination has a different level of risk (measured by volatility or Standard Deviation) and a different expected return. When you plot all these possible portfolios on a graph, with the horizontal axis representing Risk and the vertical axis representing Return, you get a cloud of points (portfolios). The Efficient Frontier is the curve that sits on the upper-most and left-most boundary of this cloud of points. "Upper-most" means that the portfolios on this line provide the maximum return for that specific level of risk. "Left-most" means that the portfolios on this line have the lowest risk for a given return. Simply put, a portfolio lying on the Efficient Frontier is considered "Efficient" because no other portfolio exists that can offer a higher return at the s ame level of risk, or lower risk at the same level of return. How to Use the Efficient Frontier Investors use the Efficient Frontier to help them decide on the optimal portfolio for their needs. The key steps are: 1. Data Collection and Generating Possible Portfolios Collect Data: Use historical data (or future projections) for the assets you are interested in (e.g., stocks, bonds, funds) to calculate their Expected Return, Risk (Standard Deviation), and, most importantly, the Correlation between the different assets. Simulate Portfolios: Use computers or mathematical programs to simulate thousands or tens of thousands of different asset mix proportions to find all possible portfolio points. 2. Finding the "Minimum Variance Portfolio" (MVP) The Minimum Variance Portfolio (MVP) is the point on the frontier with the absolute lowest risk (the far-left point on the curve). Investors with a very low risk tolerance might focus on this portfolio. 3. Finding the "Optimal Portfolio" for You Once the Efficient Frontier is established, investors must select the point on the line that aligns with their personal Risk Tolerance. Risk-Averse Investors: Will choose points on the left side of the curve (low risk and moderate return). Risk-Tolerant Investors: Will choose points on the right side of the curve (high risk and high return). Visualization Elements: 🔴 Red/Orange/Yellow/Green Dots => Each dot represents 1 portfolio combination. Plotted according to Risk (X-axis) and Return (Y-axis). Color Coding by Sharpe Ratio => 🟢 Green: Sharpe > 2 🟡 Yellow: Sharpe 1-2 🟠 Orange: Sharpe 0-1 🔴 Red: Sharpe < 0 ⬤ Large Yellow DotRepresents the MAX SHARPE RATIO—the Optimal Portfolio! Lying on the Efficient Frontier curve. Labeled with " Efficient Frontier". ❶❷❸❹ Colored Circles => Represents the Individual Assets (e.g., Blue, Red, Green, Purple). ■ Blue Square => Represents the Current Portfolio location. Four Data Tables 1. Optimal Weights Table => Compares Current vs. Optimal weights for each asset. Weights Comparison: Green = Should increase weight. Red = Should decrease weight. Max Sharpe (Current and Optimal). 2.Performance Comparison => Return, Risk, Sharpe for Current vs. Optimal portfolios.Improvement Metrics: Return (percent increase), Risk (percent decrease), Sharpe (percent improvement).Recommendation: 🚀 REBALANCE! (Score > 20); Consider (5-20); Maintain (< 5). 3.Correlation Matrix => Displays the Correlation between all assets. Helps assess Diversification. 4.Asset Statistics => Provides detailed statistics for Each Individual Asset.
Indicateur Pine Script®
par Thanapongpun
GBM Prob: nearest unswept H/L (up to 50 bars)This indicator is designed to analyze market structure and price behavior in relation to previous highs and lows. It automatically identifies prior swing highs and lows and tracks whether they have been taken by the current price movement. The main goal of the indicator is to show which side of the market has already been cleared of liquidity and where untouched liquidity remains. Based on this data, it calculates the percentage of liquidity taken, helping traders assess the directional bias of price. The indicator can be used as a higher timeframe filter (D1, H4) and as contextual guidance for entries on lower timeframes during the London and New York sessions. It works especially well with ICT / SMC concepts, OTE zones, and liquidity-based analysis. Suitable for both intraday and swing trading, the indicator helps traders make more informed decisions and avoid trading against already swept liquidity.
Indicateur Pine Script®
par Rom4ik_ua
YSR TRIDENT FX - Smoothed Heiken Ashi Candles – Offset Version🧿 What This Indicator Does This indicator plots Smoothed Heiken Ashi Candles with a custom vertical offset, allowing traders to view both: Regular price candles Smoothed Heiken Ashi trend candles side-by-side without overlapping. Traditional Heiken Ashi candles can hide real price movement. This version solves that by adding double smoothing + adjustable spacing, giving crystal-clear trend visualization while preserving real market structure. 🔥 Key Features ✅ 1. Dual EMA Smoothing The script applies smoothing twice: First smoothing: EMA applied on OHLC Second smoothing: EMA applied on Heiken Ashi values This creates ultra-clean trend candles with reduced noise. ✅ 2. Adjustable Vertical Distance (Offset) Control how far Smoothed HA candles appear from regular candles. Great for: Scalpers Price Action traders educators (clean charts) No overlap → cleaner market structure. ✅ 3. Accurate Heiken Ashi Formula Uses: HA Close = Average of smoothed OHLC HA Open = Previous HA Open + Previous HA Close / 2 HA High / Low = True trend-based levels Fully compatible with all markets and timeframes. 🌈 Color Coding Green → Bullish Trend Red → Bearish Trend (The colors follow the smoothed structure, not raw candles.) ✔️ Best Used For Trend following Reversal filtering Identifying clean directional bias Removing noise from volatile markets ⭐ Recommended Settings Length 1: 9 Length 2: 9 Vertical Distance: 0.3% to 1%
Indicateur Pine Script®
par aang-and-appa
Compression / ExpansionI created this Indicator to warn of compression and expansion so I could find the best area to trade I use it In conjunction with VWAP works on any timeframe and any asset where there is Volume The Indicator produces a Letter C at the Start of Compression and a Letter E at the Start of Expansion you can change the settings to your liking On the chart my Expansion is in Red and compression is is Blue use In Conjunction with your favorite Indicators for Confluence
Indicateur Pine Script®
par boption4mzrj
Annual Lump Sum: Yearly & CompoundedAnnual Lump Sum Investment Analyzer (Yearly vs. Compounded) Overview This Pine Script indicator simulates a disciplined "Lump Sum" investing strategy. It calculates the performance of buying a fixed dollar amount (e.g., $10,000) on the very first trading day of every year and holding it indefinitely. Unlike standard backtesters that only show a total percentage, this tool breaks down performance by "Vintage" (the year of purchase), allowing you to see which specific years contributed most to your wealth. Key Features Automated Execution: Automatically detects the first trading bar of every new year to simulate a buy. Dual-Yield Analysis: The table provides two distinct ways to view returns: Yearly %: How the market performed specifically during that calendar year (Jan 1 to Dec 31). Compounded %: The total return of that specific year's investment from the moment it was bought until today. Live Updates: For the current year, the "End Price" and "Yields" update in real-time with market movements. Portfolio Summary: Displays your Total Invested Capital vs. Total Current Value at the top of the table. Table Column Breakdown The dashboard in the bottom-right corner displays the following: Year: The vintage year of the investment. Buy Price: The price of the asset on the first trading day of that year. End Price: The price on the last trading day of that year (or the current price if the year is still active). Yearly %: The isolated performance of that specific calendar year. (Green = The market ended the year higher than it started). Compounded %: The "Diamond Hands" return. This shows how much that specific $10,000 tranche is up (or down) right now relative to the current price. How to Use Add the script to your chart. Crucial: Set your chart timeframe to Daily (D). This ensures the script correctly identifies the first trading day of the year. Open the Settings (Inputs) to adjust: Annual Investment Amount: Default is $10,000. Table Size: Adjust text size (Tiny, Small, Normal, Large). Max Rows: Limit how many historical years are shown to keep the chart clean. Use Case This tool is perfect for investors who want to visualize the power of long-term holding. It allows you to see that even if a specific year had a bad "Yearly Yield" (e.g., buying in 2008), the "Compounded Yield" might still be massive today due to time in the market.
Indicateur Pine Script®
par oojeson
Hyper Insight MA Strategy [Universal]Hyper Insight MA Strategy ** is a comprehensive trend-following engine designed for traders who require precision and flexibility. Unlike standard indicators that lock you into a single calculation method, this strategy serves as a "Universal Adapter," allowing you to **Mix & Match 13 different Moving Average types** for both the Fast and Slow trend lines independently. Whether you need the smoothness of T3, the responsiveness of HMA, or the classic reliability of SMA, this script enables you to backtest thousands of combinations to find the perfect edge for your specific asset class. --- 🔬 Deep Dive: Calculation Logic of Included MAs This strategy includes 13 distinct calculation methods. Understanding the math behind them will help you choose the right tool for your specific market conditions. #### 1. Standard Averages * **SMA (Simple Moving Average):** The unweighted mean of the previous $n$ data points. * *Logic:* Treats every price point in the period with equal importance. Good for identifying long-term macro trends but reacts slowly to recent volatility. * **WMA (Weighted Moving Average):** A linear weighted average. * *Logic:* Assigns heavier weight to current data linearly (e.g., $1, 2, 3... n$). It reacts faster than SMA but is still relatively smooth. * **SWMA (Symmetrically Weighted Moving Average):** * *Logic:* Uses a fixed-length window (usually 4 bars) with symmetrical weights $ $. It prioritizes the center of the recent data window. #### 2. Exponential & Lag-Reducing Averages * **EMA (Exponential Moving Average):** * *Logic:* Applies an exponential decay weighting factor. Recent prices have significantly more impact on the average than older prices, reducing lag compared to SMA. * **RMA (Running Moving Average):** Also known as Wilder's Smoothing (used in RSI). * *Logic:* It is essentially an EMA but with a slower alpha weight of $1/length$. It provides a very smooth, stable line that filters out noise effectively. * **DEMA (Double Exponential Moving Average):** * *Logic:* Calculated as $2 \times EMA - EMA(EMA)$. By subtracting the "lag" (the smoothed EMA) from the original EMA, DEMA provides a much faster reaction to price changes with less noise than a standard EMA. * **TEMA (Triple Exponential Moving Average):** * *Logic:* Calculated as $3 \times EMA - 3 \times EMA(EMA) + EMA(EMA(EMA))$. This effectively eliminates the lag inherent in single and double EMAs, making it an extremely fast-tracking indicator for scalping. #### 3. Advanced & Adaptive Averages * **HMA (Hull Moving Average):** * *Logic:* A composite formula involving Weighted Moving Averages: ASX:WMA (2 \times Integer(n/2)) - WMA(n)$. The result is then smoothed by a $\sqrt{n}$ WMA. * *Effect:* It eliminates lag almost entirely while managing to improve curve smoothness, solving the traditional trade-off between speed and noise. * **ZLEMA (Zero Lag Exponential Moving Average):** * *Logic:* This calculation attempts to remove lag by modifying the data source before smoothing. It calculates a "lag" value $(length-1)/2$ and applies an EMA to the data: $Source + (Source - Source )$. This creates a projection effect that tracks price tightly. * **T3 (Tillson T3 Moving Average):** * *Logic:* A complex smoothing technique that runs an EMA through a filter multiple times using a "Volume Factor" (set to 0.7 in this script). * *Effect:* It produces a curve that is incredibly smooth and free of "overshoot," making it excellent for filtering out market chop. * **ALMA (Arnaud Legoux Moving Average):** * *Logic:* Uses a Gaussian distribution (bell curve) to assign weights. It allows the user to offset the moving average (moving the peak of the weight) to align it perfectly with the price, balancing smoothness and responsiveness. * **LSMA (Least Squares Moving Average):** * *Logic:* Calculates the endpoint of a Linear Regression line for the lookback period. It essentially guesses where the price "should" be based on the best-fit line of the recent trend. * **VWMA (Volume Weighted Moving Average):** * *Logic:* Weights the closing price by the volume of that bar. * *Effect:* Prices on high volume days pull the MA harder than prices on low volume days. This is excellent for validating true trend strength (i.e., a breakout on high volume will move the VWMA significantly). --- ### 🛠 Features & Settings * **Universal Switching:** Change the `Fast MA` and `Slow MA` types instantly via the settings menu. * **Trend Cloud:** A dynamic background fill (Green/Red) highlights the crossover zone for immediate visual trend identification. * **Strategy Mode:** Built-in Backtesting logic triggers `LONG` entries when Fast MA crosses over Slow MA, and `EXIT` when Fast MA crosses under. ### ⚠️ Disclaimer This script is intended for educational and research purposes. The wide variety of MA combinations can produce vastly different results. Past performance is not indicative of future results. Please use proper risk management.
Stratégie Pine Script®
par waranyutrkm
B/S SHIVAJI (v5) ONLY FOR PAPER TRADE // इस Buy/Sell इंडिकेटर के उपयोगकर्ताओं के लिए एक दोस्ताना संदेश var bool shownMessage = false if not shownMessage label.new(bar_index, high, text="स्वागत है! इस Buy/Sell इंडिकेटर का उपयोग करने के लिए धन्यवाद। हमें उम्मीद है कि यह आपके ट्रेडिंग सफ़र में आपकी मदद करेगा। नई सलाहों और अपडेट्स के लिए वापस आते रहें!", style=label.style_none, color=color.blue, textcolor=color.white, size=size.normal) shownMessage := true
Indicateur Pine Script®
par sbrudhe
NeuroSwarm ETH — Crowd vs Experts Forecast TrackerEnglish: NeuroSwarm — Crowd vs Experts Forecast Tracker (ETH) This indicator visualizes monthly forecast data collected from two independent groups: Crowd – a large sample of retail participants Experts – a curated group of analysts and experienced market participants For each month, the indicator plots the following values as horizontal levels on the price chart: Median forecast (Crowd) Average forecast (Crowd) Median forecast (Experts) Average forecast (Experts) Shaded zones highlighting the difference between median and mean All values are fixed for each month and stay unchanged historically. This allows traders to analyze sentiment dynamics and compare how expectations from both groups align or diverge from actual price action. Purpose: This tool is intended for sentiment visualization and analytical insight — it does not generate trading signals. Its main goal is to compare collective expectations of retail traders vs experts across time. Data source: All forecasts come from monthly surveys conducted within the NeuroSwarm project between the 1st and 5th day of each month. Interface notice: The script's UI may contain non-English labels for convenience, but a full English documentation is provided here in compliance with TradingView rules. Русская версия: NeuroSwarm — Мудрость Толпы vs Эксперты (ETH) Индикатор отображает ежемесячные прогнозы двух групп: Толпа: медиана и средняя прогнозов Эксперты: медиана и средняя прогнозов Значения фиксируются для каждого месяца и показываются горизонтальными уровнями. Заливка отображает диапазон между медианой и средней, что упрощает визуальное сравнение настроений. Это аналитический инструмент для визуализации настроений — не торговая стратегия. Все данные берутся из ежемесячных опросов проекта NeuroSwarm.
Indicateur Pine Script®
par Nikki_23
Dynamic TP Based on RR - Position ToolSimple indicator that automatically plots the take-profit (TP) level based on the below inputs: - Entry price - Stop-loss (SL) - Risk-to-reward (RR) The long/short-position drawing tools are simple enough to use, but wanted something that will automatically plot the TP instead. Couldn't find anything basic and free of extra features so built this instead. This is how I use it. 1 (optional): Use the long/short-position drawing tool to plot the entry and stop-loss levels 2: Enable the indicator and enter the inputs - Entry - SL - RR 3: The TP will automatically plot. Change the RR to your liking.
Indicateur Pine Script®
par BizyTrading
12M Return Strategy This strategy is based on the original Dual Momentum concept presented by Gary Antonacci in his book “Dual Momentum Investing.” It implements the absolute momentum portion of the framework using a 12-month rate of change, combined with a moving-average filter for trend confirmation. The script automatically adapts the lookback period depending on chart timeframe, ensuring the return calculation always represents approximately one year, whether you are on daily, weekly, or monthly charts. How the Strategy Works 1. 12-Month Return Calculation The core signal is the 12-month price return, computed as: (Current Price ÷ Price from ~1 year ago) − 1 This return: Plots as a histogram Turns green when positive Turns red when negative The lookback adjusts automatically: 1D chart → 252 bars 1W chart → 52 bars 1M chart → 12 bars Other timeframes → estimated to approximate 1 calendar year 2. Trend Filter (Moving Average of Return) To smooth volatility and avoid noise, the strategy applies a moving average to the 12M return: Default length: 12 periods Plotted as a white line on the indicator panel This becomes the benchmark used for crossovers. 3. Trade Signals (Long / Short / Cash) Trades are generated using a simple crossover mechanism: Bullish Signal (Go Long) When: 12M Return crosses ABOVE its MA Action: Close short (if any) Enter long Bearish Signal (Go Short or Go Flat) When: 12M Return crosses BELOW its MA Action: If shorting is enabled → Enter short If shorting is disabled → Exit position and go to cash Shorting can be enabled or disabled with a single input switch. 4. Position Sizing The strategy uses: Percent of Equity position sizing You can specify the percentage of your portfolio to allocate (default 100%). No leverage is required, but the strategy supports it if your account settings allow. 5. Visual Signals To improve clarity, the strategy marks signals directly on the indicator panel: Green Up Arrows: return > MA Red Down Arrows: return < MA A status label shows the current mode: LONG SHORT CASH 6. Backtest-Ready This script is built as a full TradingView strategy, not just an indicator. This means you can: Run complete backtests View performance metrics Compare long-only vs long/short behavior Adjust inputs to tune the system It provides a clean, rule-driven interpretation of the classic absolute momentum approach. Inspired By: Gary Antonacci – Dual Momentum Investing This script reflects the absolute momentum side of Antonacci’s original research: Uses 12-month momentum (the most statistically validated lookback) Applies a trend-following overlay to control downside risk Recreates the classic signal structure used in academic studies It is a simplified, transparent version intended for practical use and educational clarity. Disclaimer This script is for educational and research purposes only. Historical performance does not guarantee future results. Always use proper risk management.
Stratégie Pine Script®
par rahul_joshi_2
Daily Dollar Cost Averaging (DCA) Simulator & Yearly PerformanceThis indicator simulates a "Daily Dollar Cost Averaging" strategy directly on your chart. Unlike standard backtesters that trade based on signals, this script calculates the performance of a portfolio where a fixed dollar amount is invested every single day, regardless of price action. Key Features: Daily Accumulation: Simulates buying a specific dollar amount (e.g., $10) at the market close every day. Yearly Breakdown Table: A detailed dashboard displayed on the chart that breaks down performance by year. It tracks total invested, average entry price, total holdings, current value, and PnL percentage for each individual year. Global Stats: The bottom row of the table summarizes the total performance of the entire strategy since the start date. Breakeven Line: Plots a yellow line on the chart representing your "Global Average Price." When the current price is above this line, the total strategy is in profit. How to Use: Add to chart (Works best on the Daily (D) timeframe). Open settings to adjust your Daily Investment Amount and Start Year. The table will automatically update to show how a daily investment strategy would have performed over time.
Indicateur Pine Script®
par oojeson
NeuroSwarm BTC — Crowd vs Experts Forecast TrackerEnglish: NeuroSwarm — Crowd vs Experts Forecast Tracker (BTC) This indicator visualizes monthly forecasts collected from two independent groups: Crowd – a large sample of retail traders Experts – a smaller, curated group of analysts and experienced market participants For each month, the following values are displayed as horizontal levels on the chart: Median forecast of the Crowd Average forecast of the Crowd Median forecast of Experts Average forecast of Experts Shaded zones showing the range between median and mean The values remain fixed throughout each month. This allows traders to compare sentiment dynamics between groups and see how expectations evolve relative to actual market movement. Purpose: This indicator is designed for sentiment analysis — NOT for generating trading signals. It helps identify divergences between retail expectations and expert forecasts, which can be informative during trend transitions. Data source: All values come from monthly surveys conducted within the NeuroSwarm project (1–5 of every month). Crowd and Expert groups are collected separately to avoid bias and to preserve independent aggregation. Interface language note: The indicator’s interface may contain non-English labels for ease of use, but full English documentation is provided here in compliance with TradingView House Rules. Русская версия (optional, allowed only AFTER English): NeuroSwarm — Мудрость Толпы vs Эксперты (BTC) Индикатор показывает ежемесячные прогнозы двух групп: Толпа: медиана и средняя прогнозов Эксперты: медиана и средняя прогнозов Значения фиксируются на весь месяц и отображаются на графике горизонтальными уровнями. Заливка показывает диапазон между медианой и средней. Цель индикатора — визуализировать настроение толпы и экспертов и сравнить его с реальным движением цены. Это аналитический инструмент, а не торговая стратегия. Данные берутся из ежемесячных опросов (1–5 числа), проводимых в рамках проекта NeuroSwarm.
Indicateur Pine Script®
par Nikki_23