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Взвешенное скользящее среднее (WMA)

{WH}. Speed Box 7DTechnical indicator that measures price movement speed and momentum using an accelerated adaptive moving average. Computes a dynamic EMA whose smoothing adapts to market volatility and acceleration. Builds a “trend speed” metric by accumulating momentum to identify directional shifts. Integrates a Trend Magic system based on CCI + ATR to detect bullish or bearish trends. Supports automatic or custom multi-timeframe synchronization for signal alignment. Colors candles based on coherence between speed and trend direction to highlight divergences. Includes a smoothed stochastic the main oscillator visualization. Optionally plots a dynamic average directly over price action. Displays a small info table showing active timeframe for clearer operational context.
Индикатор Pine Script®
от WarriorHuntCoin
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
Индикатор Pine Script®
от nabil007
WMA 200 Trend Filter with EMA 50 Cross & Dynamic Zones═══════════════════════════════════════════════════════════════ 📊 WMA 200 TREND FILTER WITH EMA 50 CROSS & DYNAMIC SUPPLY/DEMAND ZONES ═══════════════════════════════════════════════════════════════ 🎯 PURPOSE & ORIGINALITY This indicator was created to solve a specific problem with traditional moving average crossover systems: they generate too many false signals during choppy, sideways markets. By combining a 200-period Weighted Moving Average (WMA) as a directional filter with a 50-period Exponential Moving Average (EMA) for timing, and adding volatility-adjusted supply/demand zones, this script provides a more robust signal generation system. 📈 WHY THIS SPECIFIC COMBINATION? ✦ 200 WMA (Not EMA) for Trend Direction The Weighted Moving Average gives more weight to recent prices compared to a Simple Moving Average, but is less reactive than an Exponential Moving Average. This makes it ideal as a TREND FILTER because it smooths out noise while still responding to genuine directional shifts. The 200-period length is a widely-watched institutional level that often acts as dynamic support/resistance. ✦ 50 EMA for Entry Timing The Exponential Moving Average responds faster to price changes, making it suitable for identifying short-term momentum shifts within the larger trend. The 50-period length provides a balance between responsiveness and reliability. ✦ Dynamic ATR-Based Supply/Demand Zones Unlike fixed-percentage zones, these zones adapt to current market volatility using the Average True Range (ATR). When a signal triggers, the indicator plots a shaded zone based on ATR that represents potential support (demand) or resistance (supply) levels. This helps traders visualize where price might react after a signal. 🔧 HOW IT WORKS The indicator uses a DUAL-CONDITION SIGNAL SYSTEM: LONG SIGNALS (Green "BUY" label) appear when: 1. Price crosses ABOVE the 50 EMA (bullish momentum) 2. AND price is already ABOVE the 200 WMA (confirming uptrend) This ensures you're only taking long positions when both short-term momentum AND long-term trend are aligned upward. SHORT SIGNALS (Red "SELL" label) appear when: 1. Price crosses BELOW the 50 EMA (bearish momentum) 2. AND price is already BELOW the 200 WMA (confirming downtrend) This ensures you're only taking short positions when both short-term momentum AND long-term trend are aligned downward. SUPPLY/DEMAND ZONES are calculated as follows: - When a SHORT signal triggers, a SUPPLY ZONE is created from the recent high, extending downward by (ATR × box_width_multiplier) - When a LONG signal triggers, a DEMAND ZONE is created from the recent low, extending upward by (ATR × box_width_multiplier) - These zones dynamically change color based on the 200 WMA direction (green tint when WMA is rising, red tint when falling) 📊 VISUAL ELEMENTS - 200 WMA: Thick line that turns LIME when rising (uptrend) and RED when falling (downtrend) - 50 EMA: Blue line for reference - Supply Zones: Shaded areas above price showing potential resistance - Demand Zones: Shaded areas below price showing potential support - Signal Labels: "BUY" appears below candles, "SELL" appears above candles ⚙️ CUSTOMIZABLE SETTINGS 1. WMA Source: Choose which price (close, open, hl2, etc.) to calculate the 200 WMA 2. WMA Length: Adjust the lookback period (default: 200) 3. EMA Length: Adjust the signal line period (default: 50) 4. Supply/Demand Box Width: Controls zone size as a multiplier of ATR (1-10, default: 2.5) 📚 HOW TO USE THIS INDICATOR This is an EDUCATIONAL TOOL for understanding trend-aligned momentum trading. Suggested usage: 1. Identify the major trend using the 200 WMA color (green = uptrend, red = downtrend) 2. Wait for price to cross the 50 EMA in the direction of the trend 3. Use the supply/demand zones as potential areas for: - Profit targets - Stop loss placement - Areas to watch for continuation or reversal IMPORTANT: Signals labeled "BUY" and "SELL" are for educational demonstration only and should not be interpreted as direct trading advice. Always confirm signals with additional analysis, risk management, and your own trading plan. ⚠️ LIMITATIONS & BEST USE CASES WORKS BEST IN: - Trending markets (strong directional moves) - Higher timeframes (4H, Daily, Weekly) - Liquid instruments with clear trends LESS EFFECTIVE IN: - Ranging/choppy markets (generates fewer signals by design) - Very low timeframes (1m, 5m) where noise increases - Low-volume instruments with erratic price action 🔔 ALERT FUNCTIONALITY Built-in alerts available for: - Long Cross Alert: "Price Crossed Up 50 EMA" - Short Cross Alert: "Price Crossed Down 50 EMA" 📖 EDUCATIONAL CONCEPTS This indicator demonstrates: - Trend filtering using slower moving averages - Momentum confirmation using faster moving averages - Volatility-adjusted zone calculation using ATR - Multi-condition signal logic to reduce false signals ⚖️ DISCLAIMER This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other sort of advice. Past performance of any trading system or methodology is not indicative of future results. Trading involves substantial risk of loss and is not suitable for all investors. Always do your own research and consult with a qualified financial advisor before making trading decisions. ═══════════════════════════════════════════════════════════════ 💡 If you find this helpful, please leave a comment or boost! Questions? Reply below and I'll help explain any aspect of the logic. ═══════════════════════════════════════════════════════════════
Индикатор Pine Script®
от priyanksf8
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions. This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments. Core Concept This indicator answers one fundamental question: Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range? Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers. How It Works 1) WMA Baseline (Directional Structure) At its core, the indicator defines the market’s structural center using a Weighted Moving Average: * WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness * The baseline can optionally be smoothed further in intraday mode to reduce micro-chop This provides a stable anchor for dispersion-based regime classification. 2) MAD Volatility Engine (Robust Dispersion Core) Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline: * Compute absolute deviation:
|Close − Baseline| * Take rolling median of deviation over madLen * Optional normalization scales MAD toward a stdev-like measure (via constant factor) This makes volatility estimation: * Outlier-resistant * Wick-resistant * Regime-stable during abnormal price spikes 3) MAD Bands + SuperTrend Trailing Logic (Regime State Model) Bands are built as: * Upper Band = Baseline + Factor × MAD * Lower Band = Baseline − Factor × MAD Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs. That produces a state engine: * Bull regime when price breaks above the trailing upper logic (transition into trend-up state) * Bear regime when price breaks below the trailing lower logic (transition into trend-down state) This behaves like a structural market regime model, not a reactive oscillator. 4) Strength Engine (Deviation-Based Intensity) A defining layer of this tool is the MAD Z-score intensity system: * Compute Z-score:
z = |Close − Baseline| / MAD * Map into a 0 → 1 strength scale Interpretation: * Low deviation = weak regime confidence (likely chop / mean reversion) * High deviation = strong regime confidence (trend expansion) 5) Intensity Visual Engine (Signal Clarity Layer) WMA MAD Trend includes a protected visual engine that scales opacity with strength: * Strong expansion = solid trend band * Weak deviation = faded band This gives immediate clarity:
Not all flips are equal — strength is displayed structurally. 6) Optional Institutional Filters Two optional confirmation modules allow institutional-grade filtering: Baseline Confirmation * Bull flips only accepted if price is above baseline * Bear flips only accepted if price is below baseline EMA Stack Filter * Bull only when Fast EMA > Slow EMA * Bear only when Fast EMA < Slow EMA These modules make the tool suitable for: * Directional portfolio bias frameworks (RSPS) * Regime classification overlays * Trend confirmation filters for execution systems 7) Strong Flip Tier Alerts Signal quality is tiered: * Standard flip alerts * Strong flip alerts only when deviation strength exceeds a threshold This produces a higher-confidence regime transition model for swing positioning and exposure scaling. How To Use ✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems Best use cases: * 1H–1D trend frameworks * Regime filters for signal stacking * Chop suppression in volatile markets Suggested workflow: * Bull bias when the regime is bullish and strength is rising * Reduce risk / defensive when strength fades or a bearish flip occurs * Pair with execution tools (breakout/mean-reversion entries) for timing Screenshot Placement 📸 Example chart / screenshot: snapshot
Индикатор Pine Script®
от RakoQuant
1
VIOP Scalping - OriginalVIOP Scalping – Original is a rule-based scalping strategy ported from an original C# logic set. It aims to trade only when trend direction, momentum, and trend strength align, then manages the position using fixed take-profit/stop-loss percentages with an optional trailing mechanism to protect gains during favorable moves. This strategy is provided for educational and backtesting purposes only. It is not financial advice and does not guarantee profitability. Always test thoroughly before any live usage. Core Concept Follow the dominant WMA trend, confirm momentum with EMA separation, filter conditions with RSI + ADX, then exit using fixed TP/SL with trailing behavior after a defined profit threshold. How the Strategy Works Trend Direction is defined by WMA: above WMA = long bias, below WMA = short bias. Momentum is measured via Fast EMA vs Slow EMA and the EMA difference. Trend Strength is confirmed using ADX (must exceed a threshold). RSI filters trades to avoid entering when momentum is likely overextended or weak. A no-trade session blocks entries during a predefined time window (default 09:30–10:05). Exit logic uses fixed percent TP/SL, with an optional trailing mechanism that activates after a profit threshold. Inputs and Settings Trend and Indicator Settings Main Trend WMA: Determines directional bias (price above = long, price below = short). Fast EMA / Slow EMA: Used to measure momentum and directional separation. RSI Period: Filters entries based on RSI range constraints. ADX Period: Measures trend strength (must exceed threshold to allow entries). Threshold Settings EMA Difference Threshold: Minimum EMA separation required to validate momentum. ADX Threshold: Minimum ADX required to confirm trend strength. RSI Long Ceiling: RSI must remain below this value for long entries. RSI Short Floor: RSI must remain above this value for short entries. Risk Management Settings Take Profit %: Default TP distance in percent. Strong Trend Take Profit %: Higher TP used when a “strong trend” condition is detected. Stop Loss %: Fixed SL distance in percent. Trailing Activation %: Profit threshold at which trailing starts. Trailing Distance %: Trailing offset distance used once trailing is active. Time Filter No-Trade Hours: Default session is 09:30–10:05. During this window, the strategy does not open new trades. Entry Logic No-Trade Time Filter If the current bar falls inside the no-trade session, entries are blocked. Long Entry Conditions Price is above the WMA trend line. EMA difference is positive and greater than the EMA Difference Threshold. EMA momentum is increasing (current EMA diff > previous EMA diff). RSI is within the defined range (RSI > 48 and RSI < RSI Long Ceiling). Close is higher than the previous close. ADX is above the ADX Threshold. Short Entry Conditions Price is below the WMA trend line. EMA difference is negative and lower than -EMA Difference Threshold. Bearish momentum is increasing (current EMA diff < previous EMA diff). RSI is within the defined range (RSI < 52 and RSI > RSI Short Floor). Close is lower than the previous close. ADX is above the ADX Threshold. Strong Trend Logic (Dynamic TP Selection) If price is far from the WMA (absolute distance > 20 points) AND EMA separation is strong (absolute EMA diff > 1.5 points), the strategy treats the environment as a strong trend. In strong trend mode, the strategy uses “Strong Trend Take Profit %” instead of the default “Take Profit %”. Exit Management (TP/SL + Trailing) The strategy uses fixed percentage-based TP and SL levels. Trailing logic is enabled via strategy.exit and activates only after price moves in profit by the defined Trailing Activation %. Once activated, trailing follows price using the defined Trailing Distance % offset. This is designed to secure partial gains during extended moves while still allowing room for continuation. What You See on the Chart WMA Trend Line (Main Trend Filter). Fast EMA and Slow EMA (Momentum Confirmation). Strategy entry/exit markers generated by TradingView. Recommended Use Scalping systems that rely on trend-following and momentum confirmation. Markets where ADX filtering helps avoid choppy conditions. Traders who want a simple, parameter-driven TP/SL system with trailing after confirmation. Important Notes The no-trade session depends on your chart/session settings. Ensure your symbol/session configuration matches your intended market hours. Percent-based exits scale with price; results will vary across instruments and volatility regimes. Always validate behavior using bar replay, forward testing, and realistic commission/slippage assumptions.
Стратегия Pine Script®
от mehmettopbas_
VIOP Scalping - ATR SNIPERVIOP Scalping – ATR SNIPER is a momentum-based scalping strategy designed to capture short, high-probability moves while keeping risk strictly defined using ATR-based stop-loss and fixed risk/reward targets. The strategy trades only when trend direction, momentum, and strength are aligned. This script is provided for educational and testing purposes only. It does not guarantee profitability and must be used with proper risk management. Core Idea Trade in the direction of the dominant trend, confirm momentum acceleration, and manage risk using ATR-based dynamic stops and targets. How the Strategy Works The main trend is defined using a Weighted Moving Average (WMA). Momentum is measured by the distance and direction between a fast EMA and a slow EMA. Trend strength is confirmed using ADX. RSI is used as a filter to avoid weak or overextended market conditions. Entries are blocked during a predefined no-trade time window to avoid high-noise periods. Long Entry Conditions Fast EMA is above Slow EMA and the EMA difference is greater than the minimum threshold. EMA momentum is increasing compared to the previous bar. RSI is within the user-defined long range. Current close is higher than the previous close. ADX is above the minimum strength threshold. Price is above the WMA trend line. The current bar is not inside the no-trade session. Short Entry Conditions Fast EMA is below Slow EMA and the EMA difference is below the negative threshold. Bearish EMA momentum is increasing. RSI is within the user-defined short range. Current close is lower than the previous close. ADX is above the minimum strength threshold. Price is below the WMA trend line. The current bar is not inside the no-trade session. Risk Management – ATR Sniper Logic Stop-loss distance is calculated as ATR multiplied by the ATR Multiplier. Take-profit distance is calculated using the defined Risk/Reward ratio. Stop-loss and take-profit levels are dynamically calculated per trade. Only one position can be open at any given time. What You See on the Chart Weighted Moving Average (WMA) trend line. Fast EMA and Slow EMA lines. Dynamic stop-loss line during active trades. Dynamic take-profit line during active trades. Recommended Use Intraday scalping on VİOP instruments. Momentum-based short-term trading. Traders who prefer rule-based systems with strict risk control. Always backtest and forward-test on your own instruments and timeframes before using this strategy in live markets.
Стратегия Pine Script®
от mehmettopbas_
llama fixed-length moving averages [SMA, WMA]Llama Moving Averages I needed moving averages on my charts, but I wanted them hardcoded based on the following values: timframe --- MA length Daily --- 20D (==1 trading month) Weekly --- 30W (30W moving averages for assessing long term trends) 15m --- 1W (or 5 days) Two averages: EMA and WMA: fast moving and slow moving based on closes. In addition to this, I needed the following things: 1. MAs ONLY on 15m, 1D and 1W timeframes. 2. Consistent colors. 3. for 15m chart, we want a 5D SMA, so 1D = 15m * 25(±1); times 5; 25*5 = 125 4. Option to configure different values for the daily chart, since I trade the daily chart. Defaults: 20. If you were looking for something similar, enjoy!
Индикатор Pine Script®
от wildhorse3
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.
Стратегия Pine Script®
от waranyutrkm
MACD Above Signal & Price Above VWAP IndicatorThis strategy provides a buy signal with a green arrow pointing up when three conditions are met. The MACD has to be above the signal line. The settings for MACD can be adjusted, but the default is the standard settings for MACD. The second condition is the price has to be above the VWAP line. The third condition is that the price of the current candle needs to be higher than the HIGH price of the previous candle.
Индикатор Pine Script®
от R39813
SwRp - Multi Trapezoidal WMASwRp - Multi TWMA (TF-aware) shows up to five configurable Trapezoidal Weighted Moving Averages (TWMA) across a single pane. Each line supports an independent length, weighted taper percent, source (Close/Open/High/Low/H&L/H&L+HL2), optional band (High & Low) with fill, and a post-calculation smoothing option. The indicator is timeframe-aware: calculations can run on the chart timeframe or on a selected higher/lower timeframe. Designed to visualize dynamic support/resistance and the market’s weighted center across multiple horizons.
Индикатор Pine Script®
от swaropz
Rolling Compound ReturnRolling Compound Return Indicator - Summary This indicator calculates and displays the compounded return over rolling time periods, showing how an investment would have performed if held for the specified lookback length. How it works: 1. Rolling calculation - For each bar, looks back N periods and compounds all the returns together using the formula: (1 + return₁) × (1 + return₂) × ... × (1 + returnₙ) - 1 2. Multiple timeframes - Allows comparison of up to 3 different rolling periods simultaneously: * Period 1 (default 20 bars): Blue line * Period 2 (default 50 bars): Orange line * Period 3 (default 100 bars): Purple line 3. Visual elements: * Lines plotted as percentage returns on dedicated Y-axis * Zero reference line to distinguish gains from losses * Optional green/red fill showing positive/negative zones * Info table displaying current values for each period 4. Key insight - Unlike simple moving averages of returns, this shows the actual cumulative effect of holding through all the ups and downs over the rolling window. Use case: Helps identify whether recent price action (over your chosen lookback period) has resulted in net gains or losses, and how different time horizons compare. For example, you might see the 20-period showing +5% while the 50-period shows -2%, indicating recent strength after a longer decline. The indicator updates on every bar to show the "rolling N-period return" at each point in time.
Индикатор Pine Script®
от danmm
Double Weighted Moving Average (DWMA)# DWMA: Double Weighted Moving Average ## Overview and Purpose The Double Weighted Moving Average (DWMA) is a technical indicator that applies weighted averaging twice in sequence to create a smoother signal with enhanced noise reduction. Developed in the late 1990s as an evolution of traditional weighted moving averages, the DWMA was created by quantitative analysts seeking enhanced smoothing without the excessive lag typically associated with longer period averages. By applying a weighted moving average calculation to the results of an initial weighted moving average, DWMA achieves more effective filtering while preserving important trend characteristics. ## Core Concepts * **Cascaded filtering:** DWMA applies weighted averaging twice in sequence for enhanced smoothing and superior noise reduction * **Linear weighting:** Uses progressively increasing weights for more recent data in both calculation passes * **Market application:** Particularly effective for trend following strategies where noise reduction is prioritized over rapid signal response * **Timeframe flexibility:** Works across multiple timeframes but particularly valuable on daily and weekly charts for identifying significant trends The core innovation of DWMA is its two-stage approach that creates more effective noise filtering while minimizing the additional lag typically associated with longer-period or higher-order filters. This sequential processing creates a more refined output that balances noise reduction and signal preservation better than simply increasing the length of a standard weighted moving average. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 14 | Controls the lookback period for both WMA calculations | Increase for smoother signals in volatile markets, decrease for more responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** For trend following, use a length of 10-14 with DWMA instead of a single WMA with double the period - this provides better smoothing with less lag than simply increasing the period of a standard WMA. ## Calculation and Mathematical Foundation **Simplified explanation:** DWMA first calculates a weighted moving average where recent prices have more importance than older prices. Then, it applies the same weighted calculation again to the results of the first calculation, creating a smoother line that reduces market noise more effectively. **Technical formula:** ``` DWMA is calculated by applying WMA twice: 1. First WMA calculation: WMA₁ = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ) 2. Second WMA calculation applied to WMA₁: DWMA = (WMA₁₁ × w₁ + WMA₁₂ × w₂ + ... + WMA₁ₙ × wₙ) / (w₁ + w₂ + ... + wₙ) ``` Where: - Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc. - n is the period length - Sum of weights = n(n+1)/2 **O(1) Optimization - Inline Dual WMA Architecture:** This implementation uses an advanced O(1) algorithm with two complete inline WMA calculations. Each WMA uses the dual running sums technique: 1. **First WMA (source → wma1)**: - Maintains buffer1, sum1, weighted_sum1 - Recurrence: `W₁_new = W₁_old - S₁_old + (n × P_new)` - Cached denominator norm1 after warmup 2. **Second WMA (wma1 → dwma)**: - Maintains buffer2, sum2, weighted_sum2 - Recurrence: `W₂_new = W₂_old - S₂_old + (n × WMA₁_new)` - Cached denominator norm2 after warmup **Implementation details:** - Both WMAs fully integrated inline (no helper functions) - Each maintains independent state: buffers, sums, counters, norms - Both warm up independently from bar 1 - Performance: ~16 operations per bar regardless of period (vs ~10,000 for naive O(n²) implementation) **Why inline architecture:** Unlike helper functions, the inline approach makes all state variables and calculations visible in a single scope, eliminating function call overhead and making the dual-pass nature explicit. This is ideal for educational purposes and when debugging complex cascaded filters. > 🔍 **Technical Note:** The dual-pass O(1) approach creates a filter that effectively increases smoothing without the quadratic increase in computational cost. Original O(n²) implementations required ~10,000 operations for period=100; this optimized version requires only ~16 operations, achieving a 625x speedup while maintaining exact mathematical equivalence. ## Interpretation Details DWMA can be used in various trading strategies: * **Trend identification:** The direction of DWMA indicates the prevailing trend * **Signal generation:** Crossovers between price and DWMA generate trade signals, though they occur later than with single WMA * **Support/resistance levels:** DWMA can act as dynamic support during uptrends and resistance during downtrends * **Trend strength assessment:** Distance between price and DWMA can indicate trend strength * **Noise filtering:** Using DWMA to filter noisy price data before applying other indicators ## Limitations and Considerations * **Market conditions:** Less effective in choppy, sideways markets where its lag becomes a disadvantage * **Lag factor:** More lag than single WMA due to double calculation process * **Initialization requirement:** Requires more data points for full calculation, showing more NA values at chart start * **Short-term trading:** May miss short-term trading opportunities due to increased smoothing * **Complementary tools:** Best used with momentum oscillators or volume indicators for confirmation ## References * Jurik, M. "Double Weighted Moving Averages: Theory and Applications in Algorithmic Trading Systems", Jurik Research Papers, 2004 * Ehlers, J.F. "Cycle Analytics for Traders," Wiley, 2013
Индикатор Pine Script®
от mihakralj
Weighted Moving Average (WMA)This implementation uses O(1) algorithm that eliminates the need to loop through all period values on each bar. It also generates valid WMA values from the first bar and is not returning NA when number of bars is less than period. ## Overview and Purpose The Weighted Moving Average (WMA) is a technical indicator that applies progressively increasing weights to more recent price data. Emerging in the early 1950s during the formative years of technical analysis, WMA gained significant adoption among professional traders through the 1970s as computational methods became more accessible. The approach was formalized in Robert Colby's 1988 "Encyclopedia of Technical Market Indicators," establishing it as a staple in technical analysis software. Unlike the Simple Moving Average (SMA) which gives equal weight to all prices, WMA assigns greater importance to recent prices, creating a more responsive indicator that reacts faster to price changes while still providing effective noise filtering. ## Core Concepts * **Linear weighting:** WMA applies progressively increasing weights to more recent price data, creating a recency bias that improves responsiveness * **Market application:** Particularly effective for identifying trend changes earlier than SMA while maintaining better noise filtering than faster-responding averages like EMA * **Timeframe flexibility:** Works effectively across all timeframes, with appropriate period adjustments for different trading horizons The core innovation of WMA is its linear weighting scheme, which strikes a balance between the equal-weight approach of SMA and the exponential decay of EMA. This creates an intuitive and effective compromise that prioritizes recent data while maintaining a finite lookback period, making it particularly valuable for traders seeking to reduce lag without excessive sensitivity to price fluctuations. ## Common Settings and Parameters | Parameter | Default | Function | When to Adjust | |-----------|---------|----------|---------------| | Length | 14 | Controls the lookback period | Increase for smoother signals in volatile markets, decrease for responsiveness | | Source | close | Price data used for calculation | Consider using hlc3 for a more balanced price representation | **Pro Tip:** For most trading applications, using a WMA with period N provides better responsiveness than an SMA with the same period, while generating fewer whipsaws than an EMA with comparable responsiveness. ## Calculation and Mathematical Foundation **Simplified explanation:** WMA calculates a weighted average of prices where the most recent price receives the highest weight, and each progressively older price receives one unit less weight. For example, in a 5-period WMA, the most recent price gets a weight of 5, the next most recent a weight of 4, and so on, with the oldest price getting a weight of 1. **Technical formula:** ``` WMA = (P₁ × w₁ + P₂ × w₂ + ... + Pₙ × wₙ) / (w₁ + w₂ + ... + wₙ) ``` Where: - Linear weights: most recent value has weight = n, second most recent has weight = n-1, etc. - The sum of weights for a period n is calculated as: n(n+1)/2 - For example, for a 5-period WMA, the sum of weights is 5(5+1)/2 = 15 **O(1) Optimization - Dual Running Sums:** The key insight is maintaining two running sums: 1. **Unweighted sum (S)**: Simple sum of all values in the window 2. **Weighted sum (W)**: Sum of all weighted values The recurrence relation for a full window is: ``` W_new = W_old - S_old + (n × P_new) ``` This works because when all weights decrement by 1 (as the window slides), it's mathematically equivalent to subtracting the entire unweighted sum. The implementation: - **During warmup**: Accumulates both sums as the window fills, computing denominator each bar - **After warmup**: Uses cached denominator (constant at n(n+1)/2), updates both sums in constant time - **Performance**: ~8 operations per bar regardless of period, vs ~100+ for naive O(n) implementation > 🔍 **Technical Note:** Unlike EMA which theoretically considers all historical data (with diminishing influence), WMA has a finite memory, completely dropping prices that fall outside its lookback window. This creates a cleaner break from outdated market conditions. The O(1) optimization achieves 12-25x speedup over naive implementations while maintaining exact mathematical equivalence. ## Interpretation Details WMA can be used in various trading strategies: * **Trend identification:** The direction of WMA indicates the prevailing trend with greater responsiveness than SMA * **Signal generation:** Crossovers between price and WMA generate trade signals earlier than with SMA * **Support/resistance levels:** WMA can act as dynamic support during uptrends and resistance during downtrends * **Moving average crossovers:** When a shorter-period WMA crosses above a longer-period WMA, it signals a potential uptrend (and vice versa) * **Trend strength assessment:** Distance between price and WMA can indicate trend strength ## Limitations and Considerations * **Market conditions:** Still suboptimal in highly volatile or sideways markets where enhanced responsiveness may generate false signals * **Lag factor:** While less than SMA, still introduces some lag in signal generation * **Abrupt window exit:** The oldest price suddenly drops out of calculation when leaving the window, potentially causing small jumps * **Step changes:** Linear weighting creates discrete steps in influence rather than a smooth decay * **Complementary tools:** Best used with volume indicators and momentum oscillators for confirmation ## References * Colby, Robert W. "The Encyclopedia of Technical Market Indicators." McGraw-Hill, 2002 * Murphy, John J. "Technical Analysis of the Financial Markets." New York Institute of Finance, 1999 * Kaufman, Perry J. "Trading Systems and Methods." Wiley, 2013
Индикатор Pine Script®
от mihakralj
RSI +WMA+ MA + Div SETUPRSI +WMA+ MA + Div SETUP Индикатор объединяет анализ RSI, скользящих средних RSI (EMA/WMA), дивергенций, автоматические уровни поддержки/сопротивления на RSI, «лестницу цен» для целевых уровней RSI и фильтр тренда со старшего таймфрейма (HTF). Точки входа формируются строго в месте пересечения RSI с заданным уровнем после выполнения выбранного сетапа. Поддержан режим «без повторов до смены направления». Что показывает Линии RSI, EMA(9) от RSI и WMA(45) от RSI. Фон панели: бычий/медвежий/нейтральный режим импульса RSI (по соотношению EMA и WMA и наклону WMA). Маркеры ▲/▼ — смена фазы импульса RSI (не торговые сигналы). Дивергенции (регулярные): Bull/Bear с метками. Auto SnR на RSI: динамические уровни поддержки/сопротивления по экстремумам RSI. WMA SnR points: точки ретеста WMA на RSI. Лестница цен: оценка цены, при которой RSI достигнет выбранных уровней. HTF-линия: WMA(45) от RSI на старшем ТФ (по желанию). Торговые сигналы (BUY/SELL) Сигналы строятся в окне осциллятора RSI ровно в точке кросса: BUY: (по выбранному сетапу) + пересечение RSI↑ заданного уровня (по умолчанию 40) + (опционально) выполнен HTF-фильтр. SELL: (по выбранному сетапу) + пересечение RSI↓ заданного уровня (по умолчанию 60) + (опционально) выполнен HTF-фильтр. Сетапы входа (переключатель) Setup 1: Div + Cross — требуется подтверждённая дивергенция (Bull/Bear) и кросс RSI уровня в пределах заданного «окна» баров. Setup 2: Cross only — только кросс RSI уровня, без требования дивергенции. HTF-фильтр тренда Расчёт WMA(45) от RSI на настраиваемом HTF (M, H1=60, H4=240, D и т. д.). Разрешение Лонга, если HTF_WMA45 ≥ L-уровня (например, 50). Разрешение Шорта, если HTF_WMA45 ≤ S-уровня. Опция «Только после закрытия HTF-свечи» исключает перерисовку фильтра до закрытия старшего бара. Основные настройки RSI Length, Source. EMA Length / WMA Length (для линий на RSI). Визуальные уровни RSI (Up/Down) и подсветка фона. Divergence: пороги показа (RSI ≤ X / ≥ Y), метки. Price ladder: список целевых уровней RSI и «шаг» вывода цен. Auto SnR: три окна lookback, цвета линий. WMA SnR: чувствительность к ретестам WMA. Entries: выбор сетапа, окно после дивергенции, уровни для Лонга/Шорта (по умолчанию 40/60), «ставить метку по фактическому RSI», без повторов. HTF Filter: вкл/выкл, ТФ, уровни для Лонга/Шорта, «только по закрытию», показать HTF-линию. Алерты BUY: HTF ok + Setup OK + RSI cross up SELL: HTF ok + Setup OK + RSI cross down Сообщения алертов — константные строки (совместимы с Pine). Перерисовка Локальные сигналы ставятся на закрытии бара кросса RSI — не перерисовываются. Дивергенции используют pivot-логику (подтверждаются через lookback) — метка появляется после подтверждения. HTF-фильтр без перерисовки при включённой опции «Только после закрытия HTF-свечи». Пример использования H1 фильтр ≥ 50, M5 Setup 1: дождитесь Bull-дивергенции на M5, затем кросса RSI↑40 в течение N баров — получите BUY. Для входов без дивергенций выберите Setup 2. English Description RSI +WMA+ MA + Div SETUP All-in-one RSI toolkit: native RSI, RSI-based EMA/WMA, divergence detection, automatic RSI Support/Resistance, price ladder (target prices for chosen RSI levels), and a configurable Higher-Timeframe (HTF) trend filter. Entry markers are printed exactly at the RSI level cross once the selected setup conditions are met. Includes a No-Repeat option to avoid duplicate signals. Visuals RSI, EMA(9) of RSI, WMA(45) of RSI. Background shading for bull/bear/neutral RSI impulse phases (EMA vs WMA and WMA slope). ▲/▼ phase-change markers (context only, not trade signals). Regular Bull/Bear divergences with optional labels. Auto RSI SnR lines from RSI extremes. WMA SnR points (RSI retests of WMA). Price ladder: estimated price to reach given RSI levels. Optional HTF line: WMA(45) of RSI calculated on a higher timeframe. Trade Signals (BUY/SELL) Signals plot in the RSI pane at the cross point: BUY: selected setup satisfied + RSI crosses up the chosen level (default 40) + optional HTF filter passes. SELL: selected setup satisfied + RSI crosses down the chosen level (default 60) + optional HTF filter passes. Entry Setups (selector) Setup 1: Div + Cross — requires a confirmed Bull/Bear divergence and an RSI level cross within a user-defined bar window. Setup 2: Cross only — RSI level cross only (no divergence required). HTF Trend Filter Computes WMA(45) of RSI on a configurable higher timeframe (e.g., 60=H1, 240=H4, D, etc.). Long allowed if HTF_WMA45 ≥ Long threshold (e.g., 50). Short allowed if HTF_WMA45 ≤ Short threshold. “Close-only” option ensures the HTF filter updates only after the HTF bar closes (no repaint). Key Inputs RSI length/source; EMA/WMA lengths. Visual RSI up/down levels & background shading. Divergence thresholds (RSI ≤ / ≥), labels. Price ladder: target RSI levels & label spacing. Auto SnR: three lookback windows, colors. WMA SnR: retest sensitivity. Entries: setup selector, divergence window, Long/Short levels (40/60 by default), “mark at actual RSI value”, no-repeat. HTF Filter: enable, timeframe, Long/Short thresholds, close-only, show HTF line. Alerts BUY: HTF ok + Setup OK + RSI cross up SELL: HTF ok + Setup OK + RSI cross down Alert messages are constant strings (Pine-compatible). Repaint Notes LTF entry signals are placed at bar close when the cross occurs — no repaint. Divergences rely on pivots; labels plot after confirmation. HTF filter does not repaint when Close-only is enabled. Example H1 filter ≥ 50, M5 Setup 1: wait for a Bull divergence on M5 and an RSI cross up 40 within N bars — you’ll get a BUY. Choose Setup 2 for cross-only entries.
Индикатор Pine Script®
от SergeySVTOP1
Adaptive Trend OscillatorAdaptive Trend Oscillator (ATO) — Publishing Description and User Guide Purpose The Adaptive Trend Oscillator (ATO) is a research and decision‑support indicator designed to help traders assess momentum, trend stability, and changing volatility conditions within a single, unified panel. It provides a configurable signal line, optional confidence bands, adaptive zones, and contextual Bollinger Band cues. ATO is intended for educational and analytical use on TradingView charts and does not execute trades or make investment recommendations. Methodology (High‑Level Overview) ATO integrates several well‑known concepts into a cohesive framework while avoiding proprietary implementation details: - Core Oscillator: A smoothed momentum line derived from standard price‑based calculations (e.g., RSI) with confidence‑aware coloring to reflect relative stability and recent behavior. - Signal Candle Visualization: A Heikin‑Ashi style signal candle, computed from the oscillator series, helps users visually interpret direction, strength, and transitions. Smoothing controls reduce jitter in the open component to improve readability. - Volatility Regime Detection: Rolling dispersion and average comparisons classify conditions into Low/Medium/High volatility regimes. This regime context informs confidence scoring and adaptive visualization. - Adaptive Zones: Overbought/Oversold zones adjust to market conditions using observed distribution and lookback windows, offering dynamic boundaries that can better reflect regime changes compared with fixed thresholds. - Bollinger Context: Bands applied to the oscillator series provide cues about contraction (squeeze), expansion (divergence), and convergence. Optional fills highlight changing states while remaining purely informational. - Confidence Bands: Optional envelopes around the oscillator estimate uncertainty ranges derived from recent behavior and regime context. These bands are visual aids, not predictions. - Performance Mode: An optional toggle that simplifies visuals (thinner lines, reduced fills, disabling inner layers) to improve responsiveness on devices or layouts where rendering cost matters. Calculations remain unchanged. Inputs and Configuration (Summary) ATO organizes settings for clarity and quick start: - Quick Start & Display Toggles: Show/hide key elements such as adaptive zones, confidence bands, and Bollinger fills; enable Performance Mode for faster rendering. - Core Signal Tuning: Adjust smoothing for the signal candle open, choose theme, and set lookback parameters used in the underlying oscillator and contextual measures. - Visualization Layers: Confidence bands, inner/outer envelopes, and color themes can be enabled or disabled as needed. Intended Use and Application - ATO is most effective as a complementary tool. Use it alongside price action, volume, risk management rules, and broader market context. - Signals should be validated with multiple factors (support/resistance, higher‑timeframe bias, and instrument characteristics). Parameter tuning is recommended for different assets and timeframes. - The indicator does not generate trade orders. Any buy/sell interpretations are at the user’s discretion and should be independently evaluated. Limitations and Risks - No Guarantees: The indicator cannot predict future prices. Visual cues reflect historical and current data only. - Lag and Whipsaws: Smoothing improves stability but introduces lag. During range‑bound or choppy conditions, oscillators may experience false starts or rapid flips. - Data Quality and Availability: Calculations rely on TradingView‑provided data, which may include delays or revisions depending on the data source and subscription. - User Configuration: Improper or aggressive settings may reduce effectiveness. Always backtest and forward‑test configurations before use. Required Disclosures and Regulatory Statements - Educational Use Only: ATO is provided for informational and educational purposes. It does not constitute investment advice, solicitation, or a recommendation to buy or sell any security or derivative. - No Advisor Relationship: The publisher is not acting as a broker, dealer, investment advisor, or fiduciary. Users are solely responsible for decisions made using the indicator. - Past Performance: Past performance, whether shown in charts or inferred from historical signals, does not guarantee future results. - Risk of Loss: Trading and investing involve substantial risk. You can lose more than your initial capital. Consider your financial situation, risk tolerance, and seek advice from a qualified, licensed professional where appropriate. - Jurisdictional Compliance: Users must comply with all applicable laws and regulations in their jurisdiction and with TradingView’s Terms of Use and House Rules. Attribution and Code Notes - ATO relies on standard Pine Script constructs and common analytical concepts (e.g., RSI, Bollinger Band‑style dispersion, Heikin‑Ashi visualization). No external data sources are accessed. - Calculations and visual layers are original work tailored for research utility. Specific implementation details are intentionally summarized to respect intellectual property and maintain clarity. Publishing‑Friendly Content Guidelines - No exaggerated claims, guarantees, or sensational language are used. Descriptions focus on functionality, method, and limitations. - The indicator is positioned as a tool for research and decision support, not as a promise of profit or certainty. Getting Started (Suggested Workflow) 1) Add ATO to your chart and choose a theme suitable for your background (Light/Dark). 2) Enable/disable visualization layers (Adaptive Zones, Confidence Bands, Bollinger Fill) to match your preference. 3) Adjust signal smoothing and lookback parameters to fit your instrument and timeframe; conservative settings generally produce steadier signals. 4) Optional: Turn on Performance Mode if you use multiple panels or need faster UI responsiveness; this simplifies visuals while preserving calculations. 5) Validate signals with price structure, volume context, and higher‑timeframe bias before making any decision. Support and Contact - For questions or feedback, please use TradingView direct messages to the publisher’s account: . - Personal financial advice is not provided. Support is limited to general usage guidance and technical questions about the indicator. Final Reminder ATO is a tool for analysis, not a guarantee of outcomes. Always manage risk, perform independent research, and remember that past performance does not guarantee future results.
Индикатор Pine Script®
от UnknownUnicorn91609752
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂 TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفه‌ای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیم‌گیری‌های هیجانی از فرآیند معاملات طراحی شده است. این محصول یک «اندیکاتور سیگنال‌دهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام می‌دهد: تحلیل بازار (بر اساس یک موتور امتیازدهی کمی) صدور سیگنال (ورود و خروج شفاف) مدیریت ریسک پویا (محاسبه خودکار حد ضرر) مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک) هدف «طلاجوی» تبدیل معامله‌گری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است. ⚙️ قابلیت‌های کلیدی (آنچه دریافت می‌کنید) این استراتژی مجهز به مجموعه‌ای از ابزارهای حرفه‌ای است که مستقیماً روی چارت شما اجرا می‌شوند: 🎯 ۱. سیگنال‌های ورود و خروج شفاف فلش‌های واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص می‌کنند. این سیستم تنها زمانی سیگنال صادر می‌کند که فیلترهای روند، همسویی لازم را تایید کنند. 🛡️ ۲. مدیریت ریسک پویای ATR بزرگترین چالش معامله‌گران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه می‌کند. نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپ‌هانت شدن، فاصله ایمن‌تری می‌گیرد و در بازارهای آرام، بهینه‌تر و نزدیک‌تر تنظیم می‌شود. 💰 ۳. محاسبه خودکار حجم پوزیشن دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایه‌تان تعیین می‌کنید، محاسبه می‌نماید. این ویژگی، مدیریت سرمایه حرفه‌ای را در تمام معاملات شما تضمین می‌کند. 🎨 ۴. نواحی بصری سود و زیان (TP/SL) هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم می‌کند. 📈 ۵. پنل آمار عملکرد پیشرفته یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش می‌دهد: سود و زیان خالص (دلاری و درصدی) ضریب سود (Profit Factor) نرخ موفقیت (Win Rate) تعداد معاملات سودده / زیان‌ده حداکثر افت سرمایه (Max Drawdown) و موارد دیگر... 🚦 ۶. آیکون‌های بازخورد معامله با آیکون‌های هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید: 😎🚀 (سود ویژه و قابل توجه) 💰 (سود عادی) 🙈 (زیان) 📈 چگونه از این ابزار استفاده کنید؟ «طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفه‌ای است. ۱. بک‌تست و بهینه‌سازی (Backtesting) مهم‌ترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما می‌توانید این استراتژی را روی هر جفت‌ارز و تایم فریمی که معامله می‌کنید (طلا، کریپتو، جفت‌ارزها و...) بک‌تست بگیرید تا آمار عملکرد آن را مشاهده کنید. ۲. تنظیم پارامترها از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینه‌سازی کنید. ۳. اجرای سیستماتیک پس از یافتن تنظیمات بهینه در بک‌تست، در معاملات زنده به سیگنال‌ها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند. ⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView) این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیه‌ای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمین‌کننده عملکرد آینده نمی‌باشد. لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بک‌تست ارزیابی کنید. مسئولیت تمامی سودها و زیان‌ها بر عهده خود معامله‌گر است. 💎 TalaJooy V1.31 𓅂 Trading Strategy TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process. This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks: Market Analysis (Based on a quantitative scoring engine) Signal Generation (Clear entries and exits) Dynamic Risk Management (Automated Stop Loss calculation) Position Sizing (Automated trade sizing based on risk) The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process. ⚙️ Key Features (What You Get) This strategy comes equipped with a suite of professional tools that run directly on your chart: 🎯 1. Clear Entry & Exit Signals Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned. 🛡️ 2. Dynamic ATR Risk Management A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR). The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently. 💰 3. Automated Position Sizing Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade. 🎨 4. Visual Profit & Loss (TP/SL) Zones While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool. 📈 5. Advanced Performance Stats Panel A comprehensive statistics table displays all your key performance metrics in real-time: Net Profit (% and $) Profit Factor Win Rate Win / Loss Trade Count Max Drawdown And more... 🚦 6. Smart Trade Feedback Icons Instantly review the quality of your closed trades with intelligent emoji feedback: 😎🚀 (Exceptional Profit) 💰 (Standard Profit) 🙈 (Loss) 📈 How to Use This Tool "TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution. 1. Backtesting & Optimization The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data. 2. Parameter Tuning Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets. 3. Systematic Execution After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades. ⚠️ Important Disclaimer (TradingView Compliant) This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results. Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
Стратегия Pine Script®
от TheMandalor
[SwingMann©] EWTrend+ EWTrend+ Trend and Elliott Wave Cycle Indicator Description: EWTrend+ is a versatile indicator specifically designed to visualize market trends and Elliott Wave cycles. By combining multiple EMA lengths with flexible smoothing options, it enables precise trend analysis and signal generation. Key Features: Dynamic Trend Colors: Green for uptrends, red for downtrends, gray for neutral phases. Multiple EMAs: Configurable lengths for different time horizons. Flexible Smoothing: Choose SMA, EMA, WMA, RMA, DMA, or no smoothing at all. Signal Lines: WMA-based signal lines for each EMA, optionally visible or hidden. Offset Function: Displays indicator lines slightly shifted for clearer visualization of market movements. Elliott Wave Cycle Orientation: Assists in identifying impulsive and corrective market phases. When combined, absolutely lethal ;-) Benefits: Provides a clear visual overview of short- and long-term trends. Supports the analysis of Elliott Wave patterns for strategic entries and exits. Ideal for swing traders, day traders, and technical analysts. Conclusion: Multiple EMAs for various time horizons Dynamic trend colors for quick orientation Signal lines for trend confirmation Offset function for improved visualization Supports Elliott Wave cycle analysis Note: EWTrend+ is a tool for analysis and does not replace independent trading decisions. Please test the indicator on a demo account before live use.
Индикатор Pine Script®
от SwingMann
Kalman Exponentialy Weighted Moving Average | MisinkoMasterThe Kalman Exponentialy Weighted Moving Average is a technical analysis tool providing users with more responsive and smoother signals, providing crystal-clear signals and giving investors valuable insights on market trends, however it could be used in many cases. A deeper dive into the indicator: When going through my creation of strategies, I had stumbled on an indicator called "EWMA", which worked decently, but it was far too simple in my opinion so I decided to combine the EMA & WMA, but with a little more complexity, and it has worked . I began by learning how both MAs work, I already knew how WMA works, but EMA I did not. After learning both I found out they were quite simple in principle and that there was a way to combine them in such way that you would get really good signals, however it was way too noisy. While it could avoid major dumps that were not avoided by most indicators, it would lose that edge because of being too noisy. After testing out many conditions, combinations & more, the best working one was this one: WMA > KEWMA = long WMA < KEWMA = short I will explain this later, but this gave fast signals, and while it still was noisy it was better then before. To smooth it out, I started testing price filters => Gaussian Filter and many more were tested out, but they either slowed it down to the point it was no longer of much use, or did not smooth it at all. After testing the Kalman filter on this thing, I was shocked. It was just right and made the indicator a lot better, smoothed it and kept most of the responsivness it had. Now to the big question: "How is it calculated?" Now first it needs to calculate the Kalman source, which smooths the source which will be used. After that, we calculate the Weighted Moving Average for " n " period on the Kalman source. Now that we have our WMA values, we need to calculate " a ". a is calculated in the following formula: a = 2/(1+ n ) where n is the user defined length Now for the last part: KEWMA = WMAyesterday * (1-a) + WMAtoday * a This creates a very accurate and reactive indicator, that can prove useful in many uses, beyond those I will and did talk about. For the trend logic as mentioned before: Long = WMA > KEWMA Short = WMA < KEWMA This worked best, but you might find better ways of using it. I think that is all I have to say about it, I left it open source so you can all code it in your strategies and play around with it. Enjoy Gs!
Индикатор Pine Script®
от MisinkoMaster
8
Normalized WMA Oscillator | OquantNormalized WMA Oscillator | Oquant The Normalized WMA Oscillator is a trend-momentum indicator designed to help traders visualize the relative position of a Weighted Moving Average (WMA) within its recent price range. What is a WMA and How It Works: A Weighted Moving Average (WMA) is a type of moving average that gives more weight to recent price data, making it more responsive to price changes compared to a simple moving average. Each price point in the lookback period is multiplied by a weighting factor, with the most recent prices having the highest weights. The WMA helps traders identify potential trends more quickly. This indicator applies min-max normalization to the standard WMA, scaling its values between 0 and 1 over a configurable lookback period. This allows traders to see whether the WMA is near its recent highs, lows, or midpoint, regardless of the absolute price level. Key Features: WMA Source Input: Choose price source for wma calculation. Customizable WMA Length: Adjust the sensitivity of the WMA. Min-Max Normalization Length: Smooth the scaling of WMA values between 0 and 1. Signal Thresholds: Configurable upper and lower thresholds to indicate potential entries. Visual Alerts: Color-coded oscillator and candles plot for bullish (green) and bearish (purple) signals. Alerts Ready: Built-in alert conditions for crossovers and crossunders of the oscillator. How It Works: Calculate the WMA on the selected source. Normalize its value using the minimum and maximum WMA values over the specified lookback period. Generate long signals when the normalized WMA moves above the upper threshold, and short signals when it moves below the lower threshold. Plot the oscillator and candles in green for bullish signals and purple for bearish signals. Inputs: Source: Data used for WMA calculation. WMA Length: Period for Weighted Moving Average. Min-Max Length: Lookback period for min-max scaling. Upper Threshold: Level above which a long signal is considered. Lower Threshold: Level below which a short signal is considered. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Индикатор Pine Script®
от oquant
2