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Poly candleAnalysis of the "Poly Candle" Indicator for Predicting Candles on Polymarket The "Poly Candle" indicator is designed to analyze market patterns and predict the direction of the next candle on the Polymarket platform. It uses a complex combination of divergences, low-timeframe filters, and cross-asset checks to generate visual signals about probable price movement. 1. Divergences (Divergence Filter) What it is: The indicator detects discrepancies between price and a set of technical indicators (MACD, RSI, Stochastic, Momentum, CCI, OBV, VWMACD, CMF, MFI). Purpose: When the price forms a new high/low, but the indicator does not, this signals a potential slowdown or trend reversal. Types of divergences: Regular: Predicts a possible reversal of the candle (bullish or bearish). Hidden: Confirms the continuation of the current trend and helps clarify the direction of the next candle. Divergences are based on pivots (local highs and lows), which allow precise identification of points where a candle might change direction. 2. RSI Filter on Lower Timeframes Function: Checks short-term momentum using RSI on a lower timeframe (e.g., 1-minute) within the current candle. Why it matters: A divergence on a higher timeframe alone is weak — the lower timeframe checks if RSI aligns with price: Bullish candle: RSI rises, price forms a local minimum. Bearish candle: RSI falls, price forms a local maximum. Effect: Confirms the likelihood that the next candle will match the divergence direction. If the RSI signal doesn’t align, no point is displayed. 3. Cross-Asset Filter a) Same-Direction Filter Concept: A signal on the main asset appears only if a similar divergence exists on another asset in the same direction. Example: A bullish signal on BTC is confirmed if ETH also shows a bullish signal. Purpose: Increases candle prediction reliability by minimizing false signals from a single asset. b) Reverse / Inverse Filter Concept: A bullish signal on the main asset is confirmed if the filtering asset shows a bearish signal. Example: If BTC shows a signal for a rising candle, but stablecoins (STABLE.C.D) show a bearish signal, this indicates a possible reversal. Effect: Captures inverse correlations between assets for more accurate next-candle predictions. 4. Divergence Count and Minimum Threshold The system counts the number of divergences per indicator. A point (phantom) is displayed only if the number of divergences exceeds the showlimit threshold. Effect: The minimum-divergence filter prevents false predictions and improves candle prediction accuracy. 5. Signal Formation Logic A signal appears only when all conditions are met: There is a divergence (Regular or Hidden) from selected indicators. RSI on the lower timeframe confirms the divergence direction (rising RSI → bullish, falling → bearish). Cross-asset filter confirms same-direction or inverse relation with another asset. Divergence count exceeds the threshold. If any filter fails, no point is displayed — the indicator stays silent, reducing false predictions. Visual representation on the chart: Yellow/Green: Bullish divergences → probable green candle. Red/Blue: Bearish divergences → probable red candle. Line style (solid/dotted): Regular or Hidden, helping assess signal strength. 6. Purpose of the Indicator Automatic detection of zones where the next candle is likely green or red. Minimizes false signals using RSI and cross-asset filters. Allows simultaneous analysis of multiple indicators without manual divergence calculation. Suitable for short-term and intraday strategies on Polymarket, where predicting candle color for 1–15 minute timeframes is critical.
مؤشر Pine Script®
من ‎realmedvedev‎
Simple RSI Strategy - Rule Based Higher Timeframe Trading HOW IT WORKS With the default settings, the strategy buys when RSI reaches 30 and closes when RSI reaches 40 . That’s it. A simple, rule-based mean reversion strategy designed for higher timeframes , where market noise is lower and trading becomes easier to manage. Core logic: Long when RSI moves into oversold territory Exit when RSI mean-reverts upward Optional short trades from overbought levels One position at a time (no pyramiding) No filters. No discretion. Just clear, testable rules. MARKETS & TIMEFRAMES This strategy is intended for: Indices (Nasdaq, S&P 500, DAX, etc.) Liquid futures and CFDs Higher timeframes: 2H, 4H and Daily The published example is Nasdaq (NDX) on the 2-hour timeframe . Higher timeframes are strongly recommended. HOW TO USE IT Apply the strategy on a higher timeframe Adjust RSI levels per market if needed Use TradingView alerts to avoid constant screen-watching Focus on execution, risk control, and consistency This strategy is meant to be a building block , not a complete trading business on its own. For long-term consistency, it works best when combined with other uncorrelated, rule-based systems. IMPORTANT This is not financial advice All results are historical and not indicative of future performance Always forward-test and apply proper risk management For additional notes, setups and related systems, visit my TradingView profile page .
استراتيجية Pine Script®
من ‎EdgeLab‎
4
DERYA Dynamic Efficiency Regime Yield AnalyzerDERYA: Dynamic Efficiency Regime Yield Analyzer Mathematical Concept and Problem Statement Most traditional trend and momentum indicators (e.g., RSI, ADX, MACD) focus on price displacement across a series of bars. However, they are mathematically "blind" to the internal structure of each individual bar. The DERYA indicator solves the "Velocity Trap" and "Lagging Confirmation" issues by shifting the measurement space from price displacement to intrabar efficiency. It quantifies the ratio between net price progress and the total effort (range) expended within the bar. Logic and Components The script does not reuse any existing open-source library logic; the methodology is derived from original research. However, it utilizes standard built-in Pine Script functions for structural stabilization: Efficiency Metaphor: The core logic calculates a proxy for microstructural health using the formula |Close - Close | / (High - Low). Use of Exponential Moving Average (EMA): A standard ta.ema is applied to the raw efficiency data. Reason for use: Raw microstructural data is inherently noisy due to high-frequency fluctuations. The EMA is used here specifically as a low-pass filter to extract the underlying structural trend of efficiency without the overhead of more complex digital filters. Use of Min-Max Normalization: The script utilizes ta.highest and ta.lowest over a lookback period. Reason for use: To convert an absolute efficiency metric into a bounded state variable (0-100). This ensures the indicator is adaptive to different volatility regimes, preventing the signal from becoming obsolete as market conditions change. Interpretation Expansion Regime (>60): Indicates a high-efficiency environment where price movement is achieved with minimal internal friction. Collapse Regime (<40): Indicates a structural deterioration where price effort (range) significantly outweighs price progress (displacement), often signaling an imminent trend break. Visual Integration: The script includes a barcolor feature that highlights bars where DERYA falls below 30, visually flagging points of extreme structural inefficiency directly on the price chart. Compliance Note This script is an original implementation of the DERYA methodology. It does not contain "copy-pasted" code from other public indicators. Standard functions (ta.ema, ta.highest, ta.lowest) are used only for their intended mathematical smoothing and normalization purposes as described above. Scientific Documentation & Research Paper This implementation is based on the following published research: Title: DERYA: Dynamic Efficiency Regime Yield Analyzer - A New Microstructural State Variable for Financial Markets Published on: Zenodo (CERN) zenodo.org DOI: 10.5281/zenodo.18181902 Author: Bülent Duman (Independent Researcher) Copyright: (C) 2026 Bülent Duman
مؤشر Pine Script®
من ‎blntduman‎
S/R + RSI + EMA + Trend + SingalIndicator Name: S/R RSI EMA Trend Signal (All-in-One) Overview The S/R RSI EMA Trend Signal is a comprehensive, multi-functional trading toolkit designed to provide a 360-degree view of the market. It combines trend following, support/resistance identification, momentum tracking, and volatility-based entry signals into a single, clean overlay. This script is optimized for traders who want to reduce chart clutter while maintaining access to high-probability technical data. Key Features 1. Multi-EMA & MA Ribbon Customizable Layers: Features 4 independent Exponential Moving Averages (EMA 34, 89, 200, 633) and 1 Simple Moving Average (MA 80). Visibility Control: Each line can be toggled on/off individually. Purpose: Helps identify dynamic support/resistance levels and determines the long-term vs. short-term trend bias. 2. Dynamic Support & Resistance Pivot-Based Zones: Automatically calculates and draws significant horizontal S/R levels based on recent pivot highs and lows. Strength Filtering: Includes a "Minimum Strength" filter to only show levels that have been tested multiple times. Price Proximity Labels: Displays the exact price of the level and the percentage distance from the current market price. 3. Multi-Timeframe (MTF) RSI Dashboard Real-time Monitoring: A sleek table in the top-right corner showing RSI values across 8 different timeframes (1m to 1D). Heatmap Visualization: Cells change color based on Overbought (>70) or Oversold (<30) conditions, allowing for quick "confluence" checks across timeframes. 4. Automated Trendlines Smart Detection: Automatically draws the most relevant bullish and bearish trendlines based on adjustable sensitivity. Live Extension: Lines extend dynamically to show potential future intersection points with price. 5. Signal Buy/Sell Rational Buying/Selling: Utilizing estimator to create a volatility envelope. Signal Accuracy: Generates "Buy" (Triangle Up) and "Sell" (Triangle Down) signals when price breaches the extreme boundaries of the envelope. 6. Zero-Lag Trend Following Lag-Free Analysis: Features a Zero Lag EMA combined with volatility bands to identify trend shifts earlier than standard indicators. Pullback Entries: Optional signals (▲/▼) that highlight high-probability entry points when price retraces to the mean during a strong trend. How to Use Trend Confirmation: Use the Zero-Lag Bands and EMA Ribbon to determine the primary market direction. S/R Navigation: Look for price exhaustion near the Dynamic S/R lines. MTF Confluence: Before entering a trade, check the RSI Dashboard to ensure the higher timeframes are not overextended. Settings & Customization This indicator is fully modular. Every section has its own dedicated settings group, allowing you to customize colors, sensitivity, and visibility to match your personal trading style.
مؤشر Pine Script®
من ‎ThanRua89‎
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator Multi-timeframe × multi-gamma Laguerre breadth model ──────────────────────── Usage Notes ──────────────────────── • This is a regime & consensus indicator, not a trigger • Best used for trend validation and risk filtering • Extreme values tend to persist during strong regimes This indicator answers a single question: “Out of 198 independent Laguerre filters, how many are currently rising?” ──────────────────────── Concept ──────────────────────── Using Laguerre polynomials, we aggregate price behavior across: • 11 explicit timeframes (1-minute → 1-day) • 18 gamma responsiveness levels (0.10 → 0.95) This produces 198 independent Laguerre curves. The final oscillator is NOT price. It represents a directional consensus across timescales and smoothing sensitivities. ──────────────────────── Laguerre Filter Mathematics ──────────────────────── For each Laguerre line i: L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1) L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1) L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1) L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1) Smoothed output: Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6 This weighted sum smooths noise while preserving phase better than a traditional EMA. ──────────────────────── Gamma Responsiveness ──────────────────────── Gamma controls responsiveness vs stability: 0.10 — Very fast, noisy 0.40 — Momentum-sensitive 0.70 — Trend-stable 0.95 — Very slow, structural Each timeframe is evaluated across all gamma levels. ──────────────────────── Timeframes Used (11) ──────────────────────── Minutes: 1, 3, 5, 10, 15, 30, 45 Hours: 1, 2, 4 Days: 1 ──────────────────────── Direction Test ──────────────────────── Each Laguerre line votes “up” or “down”: Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1) Iᵢ(t) = 0 otherwise ──────────────────────── Breadth Calculation ──────────────────────── greenCount(t) = I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t) Total number of rising Laguerre filters. ──────────────────────── Centered Breadth Oscillator ──────────────────────── oscRaw(t) = greenCount(t) − 99 (99 = half of 198; zero represents balanced breadth) ──────────────────────── Smoothing & Amplification ──────────────────────── EMA smoothing: oscSmooth(t) = EMA₁₀₀(oscRaw) Extreme emphasis: oscExtreme(t) = 2 · oscSmooth(t) ──────────────────────── Clamped Final Output ──────────────────────── osc(t) = max( −99 , min( 99 , oscExtreme(t) ) ) Range: • −99 → all filters falling • 0 → mixed / neutral • +99 → all filters rising ──────────────────────── Optional Probabilistic Interpretation ──────────────────────── p(t) = greenCount(t) / 198 Interpretable as the probability of upward directional alignment. Reach out on Discord if you need further guidance. - Coño Vista
مؤشر Pine Script®
من ‎Jysun‎
GCM Heikin Ashi RSI Trend CloudTitle: GCM Heikin Ashi RSI Trend Cloud Description: Overview The GCM Heikin Ashi RSI Trend Cloud is a comprehensive momentum oscillator designed to filter out market noise and visualize trend strength. Unlike a standard RSI which can be jagged and difficult to interpret during consolidation, this indicator transforms RSI data into Heikin Ashi candles, providing a smoother, clearer view of market momentum. This tool combines the lag-reducing benefits of RSI with the trend-visualizing power of Heikin Ashi, layered with Multi-Timeframe (HTF) clouds to identify macro trends. Calculations & How it Works This indicator does not use standard price action for its candles. Instead, it performs the following calculations: • HARSI Candles: We calculate the RSI of the Open, High, Low, and Close of the chart. These four RSI values are then processed through the standard Heikin Ashi formula. This means the candles represent momentum movement, not price movement. • Smoothing: A smoothing algorithm is applied to the "Open" of the HARSI candles (Default: 5). This reduces fake-outs by biasing the candle open toward the previous average, highlighting the true trend direction. • Trend Bias Mode: A unique visual feature that adjusts the thickness of the RSI line based on your trading style. o Buyers Mode: The line thickens when RSI is rising, thinning out when falling. o Sellers Mode: The line thickens when RSI is falling, thinning out when rising. • Ribbon Clouds: The script pulls RSI data from Higher Timeframes (HTF) and creates a cloud between the current chart's RSI and the HTF RSI. If the current RSI is above the HTF RSI, the cloud is bullish (Green), otherwise bearish (Red). Key Features • Derived Heikin Ashi RSI: Smooths out the noise of standard RSI to show clear red/green trends. • Dynamic Trend Bias: Customize the main RSI line to emphasize Bullish or Bearish momentum using line weight. • Auto-HTF Clouds: Automatically detects higher timeframes (e.g., 1m chart -> 3m cloud) to show support/resistance momentum from the macro trend. • OB/OS Zones: Clearly defined Overbought and Oversold channels with "Extreme" outlier zones. How to Use 1. Trend Continuation: Look for the HARSI candles to change color. A switch from Red to Green, while the Ribbon Cloud is also Green, indicates a strong bullish continuation. 2. Divergence: Because the candles are based on RSI, you can look for divergences between the HARSI candle peaks and the actual price action on the main chart. 3. The Cloud: Use the cloud as dynamic support. In a strong uptrend, the RSI line often bounces off the HTF Cloud without breaking through it. Settings • HARSI Length (Default 10): The lookback period for the RSI calculation. • Smoothing (Default 5): Higher values create smoother candles but add lag. Lower values are more reactive. Trend Bias Mode: Choose "Neutral" for a standard line, or "Buyers/Sellers" to visually emphasize your preferred market direction.
مؤشر Pine Script®
من ‎uniGram‎
15
[CT] D&W PPO + RBF + DivergenceThis indicator combines two separate ideas into one tool so you can read trend context from your price chart while timing momentum shifts from a clean oscillator panel. The first component is the Daily and Weekly Percentage Price Oscillator (D&W PPO), which measures the relationship between two EMA spreads that are intentionally built to reflect two “speeds” of market structure. The “weekly” leg is calculated as the percentage distance between a slower and faster EMA pair (L1 and L2), and the “daily” leg is calculated as the percentage distance between a shorter EMA pair (L3 and L4), but both are normalized by the same long EMA (e2) so the values behave like a percent-based oscillator rather than raw points. The script then combines those two legs by creating R = W + D, and it plots the histogram as R − W, which simplifies to D. That is not a mistake, it is the point of the design. By setting the baseline at “R equals W,” the zero line becomes a very intuitive threshold that tells you whether the shorter-term push is adding to the longer-term bias or subtracting from it. When the histogram is above zero, the daily component is supportive of the larger trend pressure, and when it is below zero, the daily component is opposing it. The histogram color is intentionally binary and stable, green when the histogram is at or above zero and red when it is below, so the panel reads like a momentum confirmation tool rather than a noisy oscillator that constantly shifts shades. The second component is the RBF Price Trail, which is drawn on the upper price chart even though the indicator itself lives in a lower panel. This line is not a moving average in the traditional sense. It is a Radial Basis Function kernel smoother that weights recent prices based on their similarity rather than only their recency. In plain terms, the kernel attempts to build a smoother “baseline” that adapts to the shape of price action, and then the script optionally wraps that baseline inside an ATR band and applies a Supertrend-like trailing clamp. When the ATR band is enabled, the line will not simply track the kernel value, it will trail price and hold its position until price forces it to ratchet. This behavior is what makes it useful as a structure-aligned trend line rather than just another smoothing curve. When the adaptive band boost is enabled, the band width is multiplied by a factor that grows when recent price change is large relative to a lookback normalization window. That means the trailing mechanism can adapt to fast markets by changing the effective band behavior, which helps reduce whipsaws in choppy conditions while still allowing the line to respond when volatility expands. The line color is determined by where price closes relative to the trail, bullish when price is above the trail and bearish when price is below it, and you can optionally color your actual chart candles from either the PPO state or the RBF state depending on what you want your eyes to follow. The settings are organized so you can control each module without changing how the core PPO trend logic behaves. The PPO settings L1, L2, L3, and L4 define the EMA lengths used to compute the weekly leg W and the daily leg D. Increasing these values makes the oscillator slower and smoother, while decreasing them makes it react faster to recent movement. “Show W line” is simply a visual aid, it plots the W line in the oscillator panel so you can see the longer-term component, but it does not change the histogram logic. “Histogram thickness” is purely visual and controls how thick the column bars are. The PPO colors are the two base colors used for the histogram state, green when the daily component is supportive and red when it is opposing. The RBF settings control what you see on the upper chart. “Show RBF on Price Chart” turns the trail line on or off. “Source” chooses which price series feeds the kernel, and close is usually the cleanest choice. “Kernel Length” determines how many bars the kernel uses; a larger value makes the baseline smoother and slower, and a smaller value makes it more reactive. “Gamma Adj” controls how quickly the kernel’s weights decay as price becomes dissimilar, so higher gamma tends to make the kernel react more sharply to changes while lower gamma produces a broader smoothing effect. “Use ATR Trail Band” is the switch that turns the kernel baseline into a trailing band line, and it is the reason the line can “hold” and then ratchet instead of moving continuously like a normal moving average. “ATR Length” and “ATR Factor” control the width of that band, and widening the band will generally reduce flips and noise at the cost of later signals. “Use Adaptive Band Boost” turns on the volatility normalization idea, “Boost Normalization Lookback” defines how far back the script looks to determine what counts as a large price change, and “Boost Multiplier” controls how strongly the band behavior is adjusted during those periods. The line width and bull/bear colors are visual controls only. Price bar coloring is intentionally handled with a single selector so you do not end up with two modules fighting to color candles differently. If you choose “Off,” nothing on the main chart is recolored. If you choose “PPO,” your price candles reflect whether the PPO histogram is above or below zero. If you choose “RBF,” your price candles reflect whether price is above or below the RBF trail. Most traders will pick one and stick with it so the chart communicates a single bias at a glance. The divergence module is optional and is designed to be a confirmation layer rather than a primary trigger. When enabled, it can mark regular divergence and hidden divergence, and it lets you decide what the pivots should be based on. The divergence source can be the PPO histogram or the R line, depending on whether you want divergence measured on the cleaner momentum component or on the combined series. “Key off pivots” determines whether pivot detection is driven by oscillator pivots or by price pivots. If you choose oscillator pivots, divergence anchors are found where the oscillator makes pivot highs or lows and those are compared against price at the same points. If you choose price pivots, the pivots are taken from price first and the oscillator value at those pivot bars is used for the comparison, which can feel more intuitive when you want divergence to respect obvious swing structure on the chart. Pivot Left and Pivot Right control how strict the swing definition is, larger values create fewer but more meaningful pivots and smaller values create more frequent signals. “Mark on Price Chart” adds tiny markers on the candles at the pivot location so you can see where the divergence event was confirmed, while the oscillator panel uses lines and labels to make the divergence relationship obvious. For trading, the cleanest way to use this tool is to separate “bias” from “timing.” The RBF Price Trail is your bias filter because it is structure-like and tends to hold and ratchet rather than constantly drifting. When price is closing above the trail and the trail is colored bullish, you treat the market as long-biased and you focus on long setups, pullbacks, and continuation entries. When price is closing below the trail and the trail is bearish, you treat the market as short-biased and you focus on short setups, rallies, and continuation shorts. The PPO histogram is then your timing and pressure confirmation. In an up-bias, the highest quality continuation conditions are when the histogram is above zero and stays above zero through pullbacks, because that means the shorter-term pressure is still supporting the longer-term drift. When the histogram dips below zero during an up-bias, it is a warning that the daily component is now opposing, which often corresponds to a deeper pullback, a rotation, or a period of consolidation, so you either wait for the histogram to recover above zero or you tighten expectations and manage risk more aggressively. In a down-bias, the mirror logic applies: the best continuation conditions are when the histogram is below zero, and pushes above zero tend to represent countertrend rotations or pauses inside the bearish condition. Divergence is best used as an early warning and a location filter, not as a standalone entry button. Regular bullish divergence, where price makes a lower low but the oscillator makes a higher low, can signal bearish pressure is weakening and is most useful when it appears while price is below the RBF trail but failing to continue downward, because it often precedes a reclaim of the trail or at least a meaningful rotation. Regular bearish divergence, where price makes a higher high but the oscillator makes a lower high, can signal bullish pressure is weakening and is most useful when it appears while price is above the trail but extension is failing, because it often precedes a drop back to the trail or a full flip. Hidden divergence is a continuation concept. Hidden bullish divergence, where price makes a higher low while the oscillator makes a lower low, often shows up during pullbacks in an uptrend and can help you confirm continuation as long as the RBF bias remains bullish. Hidden bearish divergence, where price makes a lower high while the oscillator makes a higher high, often shows up during rallies in a downtrend and can help you confirm continuation as long as the RBF bias remains bearish. In practice, you’ll get the best results when you only act on divergence that aligns with the RBF bias for hidden divergence continuation, and you treat regular divergence as a caution or reversal setup only when it occurs near a meaningful swing and is followed by a bias change or a strong momentum shift on the PPO. The most practical workflow is to keep the RBF trail visible on the price chart as your regime guide, keep the PPO histogram as your momentum confirmation, and decide in advance whether you want candle coloring to represent the PPO state or the RBF state so your eyes are not reading two different meanings at once. if you want the cleanest “trend-following” behavior, color candles by the RBF trail and use the PPO histogram as the timing trigger. If you want the cleanest “momentum-first” behavior, color candles by PPO and treat the RBF trail as the higher-level filter for whether you should press a move or fade it.
مؤشر Pine Script®
من ‎ChaosTrader63‎
5
VIXO - VIX OscillatorVIXO (VIX Oscillator) is a volatility oscillator built from the CBOE Volatility Index (symbol: TVC:VIX). It helps visualize volatility regime shifts by combining a smoothed VIX RSI with a normalized VIX momentum component, plus a VIX histogram that becomes more/less prominent depending on how far VIX is from its moving average. It helps you assess whether market conditions may be approaching rare but powerful squeeze phases. WHAT THIS INDICATOR PLOTS 1) VIX RSI (cyan line) - RSI is calculated on the VIX close and then smoothed (SMA) to reduce noise. - Use it to observe short-term momentum in volatility rather than price. 2) VIX Normalized Momentum (gray line) - Momentum is measured as ROC (rate of change) of the VIX close. - That ROC is normalized to a 0–100 scale using a rolling lookback window: - 50 is the midpoint of the recent momentum range (neutral within the selected window). - Values near 0/100 indicate momentum near the low/high of that lookback window. 3) VIX Value Bars (histogram) - Histogram shows the raw VIX value. - Bar visibility is dynamically adjusted (transparency changes) based on the ratio of VIX to its 21-period SMA: - When VIX is close to its MA, bars are more transparent. - When VIX deviates more from its MA (within a capped range), bars become more visible. - If VIX High is below 30, the script intentionally keeps bars fully transparent to reduce visual clutter. LEVELS (REFERENCE ONLY) The horizontal levels are visual guides to help segment oscillator zones. They are not guarantees and should not be treated as standalone trade signals: - 80: “Panic of Market” - 60: “VIX says BUY” (label only; not financial advice) - 50: “Neutral / Momentum Mid” - 40: “Get Ready” HOW TO USE - Apply VIXO to any chart. The indicator always pulls TVC:VIX data, regardless of the chart symbol. - Typical interpretation: - Rising VIX RSI and/or rising normalized momentum can indicate increasing volatility pressure. - Falling readings can indicate volatility easing. - Compare changes in VIXO with your chart’s price structure, trend filters, or risk management framework. INPUTS - RSI Length: RSI period on VIX close (smoothed afterward). - Momentum Length: ROC period on VIX close. - Momentum Normalization Lookback: window used to scale ROC into 0–100. DATA & BEHAVIOR NOTES - Data source: request.security("TVC:VIX", timeframe.period, OHLC). - The script does not use lookahead to access future data. - On realtime bars, values can update while the current bar is forming; historical bars remain fixed once closed. - Availability of TVC:VIX data depends on your TradingView data access. IMPORTANT DISCLAIMER This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice. It does not predict the future, does not guarantee results, and should not be used as the sole basis for any trading decision. Always validate signals with additional analysis and use appropriate risk management.
مؤشر Pine Script®
من ‎emreiletrade‎
Multi-timeframe RSI & Stochastic dashboard with visual gradient █ OVERVIEW The MTF RSI + Stochastic Dashboard displays RSI and Stochastic values across 6 customizable timeframes in a compact, visual format. Instead of switching between charts or opening multiple indicator windows, see all your momentum data at a glance. This indicator combines two of the most popular oscillators (RSI and Stochastic) and shows you where they agree—and where they don't. █ FEATURES - 6 Customizable Timeframes — Default: 1m, 5m, 15m, 1H, 4H, Daily (fully adjustable) - Combined RSI + Stochastic Signal — Shows agreement between both indicators - Visual Gradient Meters — Left side = Stochastic, Right side = RSI - Color-Coded Status — OB (Overbought), OS (Oversold), Bull, Bear, S.Bull (Strong Bull), S.Bear (Strong Bear), Mixed - Overall Trend Bias Bar — Shows percentage of timeframes bullish vs bearish - Built-in Alerts — Trigger when all timeframes align or reach 80%+ agreement - Fully Customizable — Colors, position, scale, spacing all adjustable █ HOW TO READ IT ROW 1 - TIMEFRAME Shows which timeframe each column represents. ROW 2 - COMBINED VALUE The average of RSI and Stochastic for that timeframe. Color indicates the current state. ROW 3 - STATUS - OB = Both RSI and Stochastic overbought (>70/80) - OS = Both RSI and Stochastic oversold (<30/20) - Bull = Both indicators bullish (>50) - Bear = Both indicators bearish (<50) - S.Bull = Strong bullish (one OB, one Bull) - S.Bear = Strong bearish (one OS, one Bear) - Mixed = Indicators disagree ROW 4 - GRADIENT METERS Visual representation of RSI (right half) and Stochastic (left half) levels. - Purple/Magenta = Overbought zone - Green = Bullish zone - Yellow/Orange = Neutral zone - Red = Bearish zone - Cyan = Oversold zone BOTTOM BAR - TREND BIAS Shows overall market bias based on all 6 timeframes. - STRONG BULL = 70%+ timeframes bullish - BULL = 55%+ timeframes bullish - STRONG BEAR = 70%+ timeframes bearish - BEAR = 55%+ timeframes bearish - MIXED = No clear direction █ HOW TO USE IT CONFLUENCE TRADING Look for multiple timeframes showing the same status. When 4+ timeframes agree, the signal is stronger. DIVERGENCE SPOTTING If lower timeframes show bearish while higher timeframes show bullish, price may be pulling back in an uptrend—potential buy opportunity. OVERBOUGHT/OVERSOLD EXTREMES When multiple timeframes hit OB or OS together, watch for potential reversals. TREND CONFIRMATION Use the bias bar to confirm your directional bias before entering trades. █ SETTINGS RSI Settings - Length, Source, OB/OS levels Stochastic Settings - %K Length, %K Smoothing, %D Smoothing - Choose to display %K or %D - OB/OS/Mid/Zero levels Timeframes - 6 fully customizable slots Layout - Position offset, scale, box sizing, spacing Colors - Full control over all visual elements █ ALERTS - All Timeframes Bullish — Triggers when all 6 show bullish - All Timeframes Bearish — Triggers when all 6 show bearish - Strong Bullish Alignment — Triggers at 80%+ bullish - Strong Bearish Alignment — Triggers at 80%+ bearish █ BEST WAY TO DISPLAY THIS INDICATOR For optimal viewing, follow these steps: 1. ADD THE INDICATOR • Keep all settings at default — they're optimized for immediate use 2. SCALE YOUR CHART • Right-click on the price scale (right side of chart) • Select "Reset Price Scale" or double-click the price scale • Use your mouse scroll wheel on the price scale to zoom OUT vertically • This enlarges the indicator relative to the price action 3. POSITION ADJUSTMENT (if needed) • Vertical Offset: Increase if indicator overlaps candles • Horizontal Offset: Move left/right to your preference • Overall Scale Size: Increase for larger display (default 2.0) 4. CHART SHIFT (recommended) • Enable "Shift Chart" at the bottom-right of TradingView • This gives the indicator room on the right side of your chart PRO TIP: The indicator scales with your visible price range. Zoom out on the price scale (not the time scale) to make the dashboard larger and easier to read. █ NOTES - Non-repainting: Uses confirmed bar data for calculations - Overlay indicator: Displays directly on your price chart - Compatible with all markets and timeframes - Free to use — part of the XRayTrade indicator collection █ CREDITS Developed by XRayTrade
مؤشر Pine Script®
من ‎XrayTrade_com‎
BTC vs GOLD Macro RotationBTC vs GOLD Macro Rotation Indicator BTC vs GOLD Macro Rotation Model This indicator is a macroeconomic rotation model that compares the relative attractiveness of Bitcoin (BTC) versus Gold (GOLD) based on multiple fundamental macro factors. How does it work? The model analyzes weekly data from various macroeconomic indicators and generates a score for each asset. The taller bar indicates the preferred asset to rotate capital into. - Green bars (above zero): BTC strength - Yellow bars (below zero):GOLD strength - Info table:Shows exact percentages and rotation recommendation Macroeconomic Factors Analyzed: 1. DXY (US Dollar Index) - Strong dollar → Favors GOLD - Weak dollar → Favors BTC 2. Oil (WTI Crude) - Oil rising → Favors GOLD - Oil falling → Favors BTC 3. Copper - Copper rising → Favors BTC (risk-on) - Copper falling → Favors GOLD (risk-off) 4. Real Rates (Fed Funds - YoY Inflation) - Real rates falling → Favors GOLD - Real rates rising → Favors BTC 5. Fertilizer/Natural Gas Regime (Urea, Ammonia, Natural Gas)** - Specific combinations of movements in these commodities generate inflationary/deflationary regime signals Fertilizer Rules:** | Urea | Ammonia | Gas | Signal | |------|---------|-----|--------| | ↑ | ↑ | ↓ | GOLD +2 | | ↑ | ↑ | ↑ | GOLD +3, BTC -1 | | ↓ | ↓ | ↓ | BTC +3, GOLD -1 | | ↑ | ↓ | ↓ | BTC +3 | | ↓ | ↑ | ↑ | GOLD +3, BTC -1 | Technical Features: - Operates on weekly timeframe regardless of chart - Normalized changes for signal stability - Configurable EMA smoothing - Safe handling of invalid symbols (won't break if a ticker doesn't exist) - All tickers are user-editable Configurable Inputs: - Symbols for all assets (BTC, GOLD, DXY, Oil, Copper, CPI, Fed Funds, Gas, Urea, Ammonia) - Individual weights for each macro component - Normalization length - EMA smoothing Interpretation:** - **BTC dominant (taller green):** Macro conditions favor risk/digital assets - **GOLD dominant (taller yellow):** Macro conditions favor safe-haven/tangible assets This indicator is for educational and informational purposes only. It does not constitute financial advice. Always do your own research before making investment decisions. Recommended Timeframe: Weekly (W) or Daily (D)
مؤشر Pine Script®
من ‎Teomariscal‎
Liquidity Oscillator v2 (Public)This indicator is inspired by market structure and liquidity concepts. Core logic: • Structure break detection using pivot levels • Pullback / retest trigger within a limited bar window • Momentum confirmation using CCI • RSI 50 bias filtering • Optional higher timeframe (HTF) directional bias • READY pre-signal (watch mode) with cooldown to reduce noise • TP/SL plan box shown for reference (informational only) Notes: • Signals are confirmed on bar close to avoid repaint-like behavior • Designed for educational and discretionary trading use only • Not a trading strategy and does not provide financial advice
مؤشر Pine Script®
من ‎ugurilhan2‎
GET Oscillator GET Oscillator 10/70 is a momentum-based oscillator built on the difference between two Simple Moving Averages (10 and 70). It is designed to identify trend direction, momentum strength, and volatility expansion phases commonly associated with strong directional moves. The oscillator is calculated as the difference between SMA(10) and SMA(70). To highlight momentum expansion, adaptive breakout bands are applied using the standard deviation of the oscillator itself. When the oscillator moves beyond these bands, it signals strong momentum acceleration. Movements within the bands indicate normal trend behavior or retracements. Color interpretation: Bright green indicates strong bullish momentum when the oscillator is above the upper band. Green indicates bullish momentum above the zero line but within the bands. Maroon indicates bearish momentum below the zero line but within the bands. Red indicates strong bearish momentum when the oscillator is below the lower band. The script includes an on-chart information table that displays the indicator name, current oscillator value, and live momentum status. The table position can be adjusted to top left, top right, bottom left, or bottom right, and text size can be set to small, normal, or large. This indicator is best used for: Identifying trend direction and momentum strength Spotting momentum expansion and breakout phases Filtering trades in trend-following systems Use across stocks, indices, futures, and crypto markets The indicator is non-repainting and intended for momentum confirmation rather than standalone trade signals. For best results, it can be combined with price action, moving averages, or structure-based analysis. GET Oscillator 10/70 provides a clear visual representation of momentum shifts and helps traders distinguish between normal market movement and high-energy directional phases.
مؤشر Pine Script®
من ‎Saaditya‎
Intuitive Predictive MACD TargetsThis indicator uses Reverse Engineering math to calculate the exact price the market needs to reach for specific MACD events to happen on the current bar. Standard MACD is a lagging indicator—you usually wait for the candle to close to confirm a signal. This script changes that by drawing "Finish Lines" on your chart, showing you exactly where price must go right now to trigger a Crossover or a Momentum Hook. The "Reverse Engineering" Concept Instead of calculating MACD from Price, we calculate the Required Price from the Target MACD. Q: "At what price will the MACD line cross the Signal line?" A: The script solves this and draws the Green/Red "Crossover" Line. Key Features 1. Three Distinct Targets Crossover Target (PCO/NCO): The exact price needed to trigger a Buy/Sell signal on the current candle. Dynamic Coloring: Turns Green if price needs to go UP to cross, Red if price needs to go DOWN. Settlement Target (The Hook): The exact price where the MACD momentum flattens out (Angle = 0). If price touches this Orange Dashed Line, the trend is likely pausing or preparing to reverse. Zero Cross Target: The price needed for MACD to reclaim the Zero Line. 2. Smart "Staggered" Labels (No Overlap) Unlike other scripts where text piles up and becomes unreadable, this indicator automatically spreads labels horizontally. Crossover info stays near the price. Settlement info is shifted to the right. Zero info is shifted further right. Result: You can read all three targets clearly, even if the prices are almost identical. 3. Full Customization Line Length: Choose "Infinite" to see targets as Support/Resistance levels across the screen, or "Short" to keep your chart background clean. Text Visibility: Option to force text to White or Black for high contrast on Dark/Light themes. Styles: Fully adjustable colors, line widths, and styles (Solid, Dashed, Dotted) for each target type. How to Use The "Finish Line" Strategy: If you are Long, and the Red NCO Line appears just below the current price, be cautious. It means a very small drop will confirm a Bearish Cross. Momentum Checks: Watch the Orange "Settlement" Line. If price is moving away from the Orange line, the trend is accelerating (Safe to hold). If price touches the Orange line, momentum has died (Consider taking profit). Settings Visual Settings: Change Line Length (Infinite/Short) and Text Color. MACD Settings: Standard inputs (Default 12, 26, 9). Toggles: Option to show/hide the Zero Line target.
مؤشر Pine Script®
من ‎PratikKharat1990‎
Regression ADX LinReg Kernel RBF Strength DirectionThe Regression ADX is an advanced momentum and regime-detection indicator that re-engineers the traditional ADX/DMI framework using regression-smoothed price data instead of raw candles. By applying Linear Regression or Gaussian Kernel (RBF) regression to price before calculating ADX, this indicator significantly reduces noise while preserving true directional control and trend strength. The result is a cleaner, more predictable read on market momentum and direction, especially in choppy or algorithm-driven environments. What Makes This Different Traditional ADX reacts to raw price fluctuations, often producing false momentum signals in sideways markets. This version: Smooths High / Low / Close using regression Computes +DI / −DI on the smoothed structure Measures true expansion vs compression, not noise Separates directional control from trend strength Core Components ADX (Strength): Measures trend expansion regardless of direction +DI / −DI (Direction): Identifies bullish vs bearish control Direction Bias Histogram: (+DI − −DI) for fast directional clarity Regression Engine Selector: Linear Regression – faster, responsive Kernel RBF Regression – smoother, more stable regime detection How to Read It ADX Rising → Momentum expanding (conditions improving) ADX Falling → Compression / chop risk +DI above −DI → Bullish directional control −DI above +DI → Bearish directional control Bias Histogram above zero → Bullish pressure Bias Histogram below zero → Bearish pressure Best Practices ✔ Use as a trade filter, not a signal generator ✔ Trade in the direction of DI dominance ✔ Prioritize setups when ADX is rising above 20–25 ✔ Avoid entries during falling ADX or neutral bias ✔ Excellent for futures, options, and high-frequency markets Who This Is For Momentum and trend traders Quant-style system builders Traders looking to avoid chop Anyone who uses ADX but wants a cleaner, smarter version What This Indicator Is Not ✖ Not a buy/sell system ✖ Not a moving average crossover ✖ Not designed for beginners Summary Regression ADX transforms a classic indicator into a modern regime engine by combining directional movement theory with regression-based smoothing. If you want to know when momentum is real, when direction is controlled, and when it’s worth trading, this indicator provides that edge.
مؤشر Pine Script®
من ‎Marketscope‎
Trend Force Index (HTF Momentum)📌 Description Trend Force Index • HTF Momentum (TFI-HTF) is a market context and trend-strength indicator designed to help traders understand directional force, momentum quality, and higher-timeframe bias. This tool measures directional impulse and trend pressure using a dual-average force model, normalized by volatility. Instead of producing buy or sell signals, it focuses on how strong a move is, which side controls the market, and whether price is in a trending or compressing state. 🔍 What This Indicator Shows Directional Force: Identifies bullish, bearish, and neutral force zones Momentum Quality: Differentiates strong trends from weak or fading moves Compression Zones: Highlights low-force environments where trades are often lower quality Higher-Timeframe Context (HTF): Displays directional bias from a higher timeframe for alignment Volatility Normalization: Adapts to changing market conditions using ATR 🧭 How to Use Use force direction to confirm price action or structure-based setups Trade in alignment with HTF bias for higher-probability context Avoid entries during compression / low-force zones Best used alongside price action, market structure, VWAP, or support & resistance 🎛 UI Presets PRO Mode: Clean, subdued visuals for experienced traders BEGINNER Mode: Higher contrast visuals for easier interpretation ⚠️ Important Notes This indicator does NOT generate buy or sell signals.It is intended for analysis, confirmation, and market context only. Always combine with your own trading plan and risk management ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only.It does not constitute financial advice or trade recommendations.All trading decisions and associated risks remain the sole responsibility of the user.Past market behavior does not guarantee future results.
مؤشر Pine Script®
من ‎Market_Logic_India‎
Stacked 3 Stochastics [Wonniewant]Stacked 3 Stochastics This indicator is designed for traders who need multi-timeframe momentum analysis in a single, compact view. Instead of cluttering your screen with three separate oscillator panes, this script stacks three Stochastic Oscillators vertically within one panel using an offset technique. It provides a clear hierarchy of market momentum, from slow trends to fast execution signals, without overlapping lines. Key Features: Triple Layered View (Stacked): Top Layer (Slow): Default 20-12-12. Best for identifying major trend direction and reversals. Middle Layer (Medium): Default 10-6-6. Acts as a bridge between the trend and entry signals. Bottom Layer (Fast): Default 5-3-3. Ideal for pinpointing precise entry and exit timing. Clean Visualization: Each Stochastic has its own dedicated zone (0-100, 125-225, 250-350), so the lines never get messy or confused. Reference Lines: Clearly marked 80 (Overbought) and 20 (Oversold) levels for each individual layer directly on the chart. Separators: Distinct white lines separate the layers for better readability. Full Customization: Toggle visibility for any layer. Customize K & D Lengths, Smoothness, Colors, and Line Widths for each Stochastic independently via the settings menu. How to Use: Top Layer (Slow): Watch for crosses in the overbought/oversold zones to gauge the overall market sentiment. Bottom Layer (Fast): Use for short-term trade execution when aligned with the upper layers. Divergence: Compare the three layers to spot momentum divergence across different time horizons. Author: Wonniewant
مؤشر Pine Script®
من ‎WoonieWant‎
1
Smart Money Flow Oscillator [MarkitTick]💡This script introduces a sophisticated method for analyzing market liquidity and institutional order flow. Unlike traditional volume indicators that treat all market activity equally, the Smart Money Flow Oscillator (SMFO) employs a Logic Flow Architecture (LFA) to filter out market noise and "churn," focusing exclusively on high-impact, high-efficiency price movements. By synthesizing price action, volume, and relative efficiency, this tool aims to visualize the accumulation and distribution activities that are often attributed to "smart money" participants. ✨ Originality and Utility Standard indicators like On-Balance Volume (OBV) or Money Flow Index (MFI) often suffer from noise because they aggregate volume based simply on the close price relative to the previous close, regardless of the quality of the move. This script differentiates itself by introducing an "Efficiency Multiplier" and a "Momentum Threshold." It only registers volume flow when a price move is considered statistically significant and structurally efficient. This creates a cleaner signal that highlights genuine supply and demand imbalances while ignoring indecisive trading ranges. It combines the trend-following nature of cumulative delta with the mean-reverting insights of an In/Out ratio, offering a dual-mode perspective on market dynamics. 🔬 Methodology The underlying calculation of the SMFO relies on several distinct quantitative layers: • Efficiency Analysis The script calculates a "Relative Efficiency" ratio for every candle. This compares the current price displacement (body size) per unit of volume against the historical average. If price moves significantly with relatively low volume, or proportional volume, it is deemed "efficient." If significant volume occurs with little price movement (churn/absorption), the efficiency score drops. This score is clamped between a user-defined minimum and maximum (Efficiency Cap) to prevent outliers from distorting the data. • Momentum Thresholding Before adding any data to the flow, the script checks if the current price change exceeds a volatility threshold derived from the previous candle's open-close range. This acts as a gatekeeper, ensuring that only "strong" moves contribute to the oscillator. • Variable Flow Calculation If a move passes the threshold, the script calculates the flow value by multiplying the Typical Price and Volume (Money Flow) by the calculated Efficiency Multiplier. Bullish Flow: Strong upward movement adds to the positive delta. Bearish Flow: Strong downward movement adds to the negative delta. Neutral: Bars that fail the momentum threshold contribute zero flow, effectively flattening the line during consolidation. • Calculation Modes Cumulative Delta Flow (CDF): Sums the flow values over a rolling period. This creates a trend-following oscillator similar to OBV but smoother and more responsive to real momentum. In/Out Ratio: Calculates the percentage of bullish inflow relative to the total absolute flow over the period. This oscillates between 0 and 100, useful for identifying overextended conditions. 📖 How to Use Traders can utilize this oscillator to identify trend strength and potential reversals through the following signals: • Signal Line Crossovers The indicator plots the main Flow line (colored gradient) and a Signal line (grey). Bullish (Green Cloud): When the Flow line crosses above the Signal line, it suggests rising buying pressure and efficient upward movement. Bearish (Red Cloud): When the Flow line crosses below the Signal line, it suggests dominating selling pressure. • Divergences The script automatically detects and plots divergences between price and the oscillator: Regular Divergence (Solid Lines): Suggests a potential trend reversal (e.g., Price makes a Lower Low while Oscillator makes a Higher Low). Hidden Divergence (Dashed Lines): Suggests a potential trend continuation (e.g., Price makes a Higher Low while Oscillator makes a Lower Low). "R" labels denote Regular, and "H" labels denote Hidden divergences. • Dashboard A dashboard table is displayed on the chart, providing real-time metrics including the current Efficiency Multiplier, Net Flow value, and the active mode status. • In/Out Ratio Levels When using the Ratio mode: Values above 50 indicate net buying pressure. Values below 50 indicate net selling pressure. Approaching 70 or 30 can indicate overbought or oversold conditions involving volume exhaustion. ⚙️ Inputs and Settings Calculation Mode: Choose between "Cumulative Delta Flow" (Trend focus) or "In/Out Ratio" (Oscillator focus). Auto-Adjust Period: If enabled, automatically sets the lookback period based on the chart timeframe (e.g., 21 for Daily, 52 for Weekly). Manual Period: The rolling lookback length for calculations if Auto-Adjust is disabled. Efficiency Length: The period used to calculate the average body and volume for the efficiency baseline. Eff. Min/Max Cap: Limits the impact of the efficiency multiplier to prevent extreme skewing during anomaly candles. Momentum Threshold: A factor determining how much price must move relative to the previous candle to be considered a "strong" move. Show Dashboard/Divergences: Toggles for visual elements. 🔍 Deconstruction of the Underlying Scientific and Academic Framework This indicator represents a hybrid synthesis of academic Market Microstructure theory and classical technical analysis. It utilizes an advanced algorithm to quantify "Price Impact," leveraging the following theoretical frameworks: • 1. The Amihud Illiquidity Ratio (2002) The core logic (calculating body / volume) functions as a dynamic implementation of Yakov Amihud’s Illiquidity Ratio. It measures price displacement per unit of volume. A high efficiency score indicates that "Smart Money" has moved the price significantly with minimal resistance, effectively highlighting liquidity gaps or institutional control. • 2. Kyle’s Lambda (1985) & Market Depth Drawing from Albert Kyle’s research on market microstructure, the indicator approximates Kyle's Lambda to measure the elasticity of price in response to order flow. By analyzing the "efficiency" of a move, it identifies asymmetries—specifically where price reacts disproportionately to low volume—signaling potential manipulation or specific Market Maker activity. • 3. Wyckoff’s Law of Effort vs. Result From a classical perspective, the algorithm codifies Richard Wyckoff’s "Effort vs. Result" logic. It acts as an oscillator that detects anomalies where "Effort" (Volume) diverges from the "Result" (Price Range), predicting potential reversals. • 4. Quantitative Advantage: Efficiency-Weighted Volume Unlike linear indicators such as OBV or Chaikin Money Flow—which treat all volume equally—this indicator (LFA) utilizes Efficiency-Weighted Volume. By applying the efficiency_mult factor, the algorithm filters out market noise and assigns higher weight to volume that drives structural price changes, adopting a modern quantitative approach to flow analysis. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
مؤشر Pine Script®
من ‎MarkitTick‎
9
MDZ Strategy v4.2 - Multi-factor trend strategyWhat This Strategy Does MDZ (Momentum Divergence Zones) v4.2 is a trend-following strategy that enters long positions when multiple momentum and trend indicators align. It's designed for swing trading on higher timeframes (2H-4H) and uses ATR-based position management. The strategy waits for strong trend confirmation before entry, requiring agreement across five different filters. This reduces trade frequency but aims to improve signal quality. Entry Logic A long entry triggers when ALL of the following conditions are true: 1. EMA Stack (Trend Structure) Price > EMA 20 > EMA 50 > EMA 200 This "stacked" alignment indicates a strong established uptrend 2. RSI Filter (Momentum Window) RSI between 45-75 (default) Confirms momentum without entering overbought territory 3. ADX Filter (Trend Strength) ADX > 20 (default) Ensures the trend has sufficient strength, not a ranging market 4. MACD Confirmation MACD line above signal line Histogram increasing (momentum accelerating) 5. Directional Movement +DI > -DI Confirms bullish directional pressure Exit Logic Positions are managed with ATR-based levels: ParameterDefaultDescriptionStop Loss2.5 × ATRBelow entry priceTake Profit6.0 × ATRAbove entry priceTrailing Stop2.0 × ATROptional, activates after entry The default configuration produces a 1:2.4 risk-reward ratio. Presets The strategy includes optimized presets based on historical testing: PresetTimeframeNotes1H Standard1 HourMore frequent signals2H Low DD2 HourConservative settings3H Optimized3 HourBalanced approach4H Swing4 HourWider stops for swing tradesCustomAnyFull manual control Select "Custom" to adjust all parameters manually. Inputs Explained EMAs Fast EMA (20): Short-term trend Slow EMA (50): Medium-term trend Trend EMA (200): Long-term trend filter RSI Length: Lookback period (default 14) Min/Max: Entry window to avoid extremes ADX Min ADX: Minimum trend strength threshold Risk Stop Loss ATR: Multiplier for stop distance Take Profit ATR: Multiplier for target distance Trail ATR: Trailing stop distance (if enabled) Session (Optional) Filter entries by time of day Recommended OFF for 3H+ timeframes What's Displayed Info Panel (Top Right) Current preset Trend status (Strong/Wait) ADX, RSI, MACD readings Position status Risk-reward ratio Stats Panel (Top Left) Net P&L % Total trades Win rate Profit factor Maximum drawdown Chart EMA lines (20 blue, 50 orange, 200 purple) Green background during strong uptrend Triangle markers on entry signals Important Notes ⚠️ This is a long-only strategy. It does not take short positions. ⚠️ Historical results do not guarantee future performance. Backtests show what would have happened in the past under specific conditions. Markets change, and any strategy can experience drawdowns or extended losing periods. ⚠️ Risk management is your responsibility. The default settings risk 100% of equity per trade for backtesting purposes. In live trading, appropriate position sizing based on your risk tolerance is essential. ⚠️ Slippage and commissions matter. The backtest includes 0.02% commission and 1 tick slippage, but actual execution costs vary by broker and market conditions. Best Practices Test on your specific market — Results vary significantly across different instruments Use appropriate position sizing — Never risk more than you can afford to lose Combine with your own analysis — No indicator replaces understanding market context Paper trade first — Validate the strategy matches your trading style before risking capital Alerts Two alerts are available: MDZ Long Entry: Fires when all entry conditions are met Uptrend Started: Fires when EMA stack first aligns bullish Methodology This strategy is based on the principle that trend continuation has better odds than reversal when multiple timeframe momentum indicators agree. By requiring five independent confirmations, it filters out weak setups at the cost of fewer total signals. The ATR-based exits adapt to current volatility rather than using fixed pip/point targets, which helps the strategy adjust to different market conditions. Questions? Leave a comment below.
استراتيجية Pine Script®
من ‎VolForge‎
Regime-Filtered Overbought/Oversold V1 (Ariston)《Regime-Filtered Overbought/Oversold V1（Ariston）》是一个overlay主图型的“状态识别”工具，用超买超卖阈值去捕捉极端动量区间，同时用Regime Filter把同样的超买/超卖拆分成“趋势延伸”与“震荡反转”两类完全不同的交易语境，并将结论直接投射到价格图上。 “Regime-Filtered Overbought/Oversold V1 (Ariston)” is an on-chart overlay state-identification tool. It uses overbought/oversold thresholds to capture extreme momentum conditions, and applies a regime filter to split the same OB/OS readings into two very different trading contexts—trend extension versus range reversal—then projects the result directly onto the price chart. 指标的第一层是 Stochastic 计算，它不是一个频繁给出提示的 oscillators，而是更偏“极端状态报警器”：当一致性进入极端区间，才进入可执行的观察窗口。 Layer one is the Stochastic calculation. It is not designed to fire frequent oscillator prompts; it functions more like an “extreme-state alarm.” Only when the signal aligns and enters an extreme zone does it open an actionable observation window. 第二层是 Regime Filter：这个过滤器的意义在于同一个“超买”在趋势中常常代表“强势延伸的顺势机会”，在震荡中更接近“均值回归的反向机会”，两者不应被同一种颜色、同一种心理预期去处理。 Layer two is the Regime Filter. Its purpose is to reframe the same “overbought” reading: in trends it often represents a continuation-friendly extension opportunity, while in ranges it is closer to a mean-reversion fade setup. These two contexts should not be handled with the same color coding or the same mental model. 你也可以关闭 useRegime，此时指标退化为“震荡风格”的展示（超买=黄，超卖=蓝），保持简单。 You can also disable useRegime, in which case the indicator falls back to a simplified range-style display (Overbought = Yellow, Oversold = Blue). 可视化层面，该指标把状态映射成四种主图背景色（可调透明度）：趋势背景下的超买显示红色（Trend+OB=Red），趋势背景下的超卖显示绿色（Trend+OS=Green）；震荡背景下的超买显示黄色（Range+OB=Yellow），震荡背景下的超卖显示蓝色（Range+OS=Blue）。 Visually, the indicator maps states into four on-chart background colors (with adjustable transparency): Trend+OB is Red, Trend+OS is Green; Range+OB is Yellow, Range+OS is Blue. 这四种颜色本质上是在告诉你“同样是 OB/OS，当前更像 continuation 还是 mean-reversion”，从而在交易执行上自动切换思维框架。 These four colors are effectively telling you: “For the same OB/OS reading, does the current context look more like continuation or mean reversion?”—so you can switch execution mindset accordingly. 在“趋势且极端”的红/绿场景下，指标还会额外绘制分段趋势线（Segment Trendlines），用来给出更贴近价格的动态参考。红色状态（Trend+OB）会在K线下方生成一条红色上行分段线；绿色状态（Trend+OS）会在K线上方生成一条绿色下行分段线。 In “trend and extreme” red/green scenarios, the indicator additionally draws Segment Trendlines as a closer-to-price dynamic reference. In Red state (Trend+OB), it prints a red rising segment line below candles; in Green state (Trend+OS), it prints a green falling segment line above candles. 线条只在 useRegime=true 且趋势过滤达到趋势阈值时启用，且每一段状态结束后都会保留历史，不会回收删除，方便你回看过去的极端区间是如何展开与终结的。 These lines only activate when useRegime = true and the trend filter meets its threshold, and each segment is kept historically after the state ends (no cleanup/deletion), making it easy to review how prior extreme regimes evolved and resolved. 使用上，这个指标更适合作为“仓位管理与情境提示器”而不是机械开平仓信号机。 In practice, this indicator is better used as a “position management and context prompt” rather than a mechanical entry/exit signal engine. 参数方面，你主要会动三组：Stochastic 的 kLen/dLen/阈值决定“极端”的敏感度；ADX 长度与阈值决定趋势/震荡分界；背景透明度与 ATR 偏移决定视觉与线条贴合程度。 Parameter-wise, you will mainly adjust three blocks: Stochastic kLen/dLen/thresholds define extreme sensitivity; ADX length and threshold define the trend/range boundary; background transparency and ATR offset tune visual fit and line proximity. 若你希望信号更少更“干净”，通常提高 ADX 阈值或加大 kLen 会更有效；若你希望更快捕捉极端，降低 kLen 或降低 OB/OS 阈值即可，但要接受噪声上升。Debug 选项会在红/绿状态打点，用于检验状态触发是否符合预期。 If you want fewer, cleaner signals, raising the ADX threshold or increasing kLen tends to be effective. If you want faster extreme detection, reduce kLen or relax OB/OS thresholds—at the cost of more noise. The Debug option prints markers in red/green states to validate triggers against your expectations. 免责声明：该指标输出的是“条件状态与市场语境”，不保证对未来收益率有确定性预测价值；在低流动性品种、跳空频繁品种或极端新闻驱动阶段，Stochastic 与 ADX 的解释力可能下降，建议结合你自己的风险框架与执行规则使用。 Disclaimer: this indicator outputs conditional states and market context; it does not guarantee predictive edge or deterministic future returns. In low-liquidity markets, gap-prone instruments, or extreme news-driven regimes, the explanatory power of Stochastic and ADX may degrade. Use it alongside your own risk framework and execution rules.
مؤشر Pine Script®
من ‎AristonWang‎
MACD Matrix: Angle & SettlementThis indicator is a comprehensive Multi-Timeframe (MTF) Dashboard designed for technical traders who rely on MACD not just for crossovers, but for Momentum Angle and Settlement (Hooks). Instead of cluttering your screen with 5 different MACD charts, this Matrix calculates the math in the background and presents a clean "Heads-Up Display" of the MACD state across your specific timeframes (Default: 3m, 15m, 1h, 4h, 16h). The Concept: "Angle Settlement" Standard MACD indicators only show you when a cross happens. By then, the move is often halfway over. This script focuses on the Angle (Slope) of the MACD line to predict turns before they happen: Steep Angle: Momentum is accelerating. (Strong Trend) Settling Angle: The slope is flattening out. The MACD line is "hooking." (Reversal/Cross Imminent) Dashboard Columns Explained TF (Timeframe): Auto-formats your settings into readable text (e.g., "240" becomes "4h"). Zone: > 0 (Green): MACD is above the Zero Line (Bullish Trend context). < 0 (Red): MACD is below the Zero Line (Bearish Trend context). Cross: PCO (Green): Positive Crossover (MACD > Signal). NCO (Red): Negative Crossover (MACD < Signal). Deg (°): The calculated mathematical angle of the MACD line. Positive (+): Momentum is rising. Negative (-): Momentum is falling. State (The Strategy): STEEP (Bright Color): The angle is increasing. Do not trade against this momentum. SETTLE (Dim Color): The angle is decreasing compared to the previous bar. The momentum is "cooling off," often signaling a "Hook" or an upcoming crossover. Settings & Customization Custom Timeframes: You can freely change TF-1, TF-2, etc., in the settings. The table labels will auto-update (e.g., if you change 4h to 1D, the table will display "1D"). MACD Lengths: Fully customizable (Default 12, 26, 9). Angle Sensitivity: A multiplier to calibrate the "Degrees" to your specific asset class (Crypto, Forex, or Indices). If angles look too small, increase this value.
مؤشر Pine Script®
من ‎PratikKharat1990‎