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Least Squares Moving Average Zero Lag LeadLSMA Zero‑Lag + Lead Indicator This indicator is a modified Least Squares Moving Average (LSMA) designed to reduce lag and optionally introduce a controlled forward‑leaning (lead) component. It is intended to be used either directly on price or as a smoother, more responsive input source for other indicators such as RSI, MACD, or regime filters. 1. What LSMA Is Doing LSMA (Least Squares Moving Average) fits a straight‑line regression to the last N bars and evaluates that line at the current bar. Unlike simple or exponential averages, LSMA implicitly models trend direction and slope, which makes it more responsive during directional moves. 2. Zero‑Lag Adjustment The zero‑lag version applies a simple error‑correction technique: ZL = 2 × LSMA − LSMA(previous) This cancels part of the inherent regression delay, producing a smoother line that reacts faster to turns while remaining stable in trends. 3. Lead Component (Optional) On top of the zero‑lag LSMA, a slope‑based lead is added: Lead = ZL + k × (ZL − ZL(previous)) Here, the recent slope is projected forward by a user‑controlled factor (k). This does not predict price, but it shifts the average slightly in the direction of current momentum, improving responsiveness for signal generation. 4. Why This Helps RSI and Similar Indicators RSI and many oscillators operate on raw price changes, which can be noisy and lag‑prone. Feeding RSI with LSMA ZL or LSMA ZL + Lead instead of raw close price: • Reduces noise without excessive smoothing • Aligns RSI swings with underlying trend direction • Improves timing of overbought/oversold transitions • Reduces late signals after sharp reversals In practice, this produces an RSI that reacts faster in trends but stays calmer in chop. 5. Practical Usage Tips • Use LSMA ZL as a clean, low‑lag replacement for price in oscillators • Add small lead values (0.5–1.0) only if earlier signals are needed • Avoid high lead values in choppy markets • Combine with regime or volatility filters for best results This indicator is best thought of as a signal‑conditioning layer rather than a standalone trading system.
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AJSwogger의
Daily Candle Bias Backtesting Stats @MaxMaserati This indicator, is a powerful backtesting and probability tool designed to quantify the "follow-through" of specific candle types across different market sessions. It identifies specific price action setups and tracks whether price hits a "Target" (continuation) or an "Invalidation" (reversal) first, providing real-time win rates for your favorite sessions. The Candle Bias Stats indicator automatically categorizes every candle based on the MMM candle bias and tracks their historical success rate. It calculates how often a candle's high/low is broken before its opposite end is touched. By breaking this data down into sessions (Asian, London, NY), it identifies high-probability "time-of-day" windows where specific price action setups are most reliable. MMM CANDLE LOGIC Bullish Expansion & Breakout Signatures Bullish Body Close Plus (BuBC Plus): Represents strong bullish momentum where price closes above the previous high and near its own top, signaling that buyers are in complete control. Bullish Body Close Minus (BuBC Minus): Indicates weak bullish momentum; while the price closes above the previous high, a long top wick shows sellers pushed back, suggesting a potential retest of the previous high. Bearish Expansion & Breakout Signatures Bearish Body Close Plus (BeBC Plus): A very strong bearish signal where price closes below the previous low and near its own bottom, indicating sellers are dominant. Bearish Body Close Minus (BeBC Minus): Signifies weak bearish momentum; the price breaks the previous low but finishes with a long bottom wick as buyers push back, often leading to a retest of the old ceiling. Bullish Reversal & Trap Signatures (Affinity) Bullish Affinity Plus (BuAF Plus): A strong bullish reversal where a new low is made, but sellers hit a wall and get trapped, causing price to finish near its top with a long bottom wick. Bullish Affinity Minus (BuAF Minus): A weak bullish bounce where a new low is made and price finishes back inside the previous range, but buyers lack the energy for a significant move. Bearish Reversal & Trap Signatures (Affinity) Bearish Affinity Plus (BeAF Plus): A strong bearish reversal; buyers are trapped after making a new high, and price finishes near its bottom with a long top wick. Bearish Affinity Minus (BeAF Minus): A weak bearish drop where sellers stop the rise but lack the energy to push price significantly lower. Neutral & Volatility Signatures Close Inside Bullish (CI•BuAF): Bullish neutral state where price stays inside the previous candle’s range but finishes in the top half, indicating buyers are slightly more active. Close Inside Bearish (CI•BeAF): Bearish neutral state where price remains inside the previous box and finishes in the bottom half. Seek & Destroy Bullish (S&D•BuAF): Bullish volatility characterized by price moving above and below the previous candle before buyers win the battle and close price near the top. Seek & Destroy Bearish (S&D•BeAF): Bearish volatility where sellers win a high-chaos battle, closing price near the bottom after sweeping both sides of the previous candle. H4 CANDLE EXAMPLE Deep Dive: Analysis of the 4H Statistics The image presents a comprehensive backtest of 4,999 total candles from September 2022 to December 2025. Here is the breakdown of what the interface is telling us: 1. The Strategy: Target vs. Invalidation The indicator tracks BuBC (Bullish Body Close) and BeBC (Bearish Body Close). The Target: For a Bullish candle, the target is the High. For a Bearish candle, it is the Low. The Invalidation: The opposite end of the candle (the Low for Bullish, the High for Bearish). The Goal: To see which level is touched first in the subsequent bars. 2. Global Performance (The Top Right Table) Looking at the BuBC (1402 samples) section: Target First (67.8%): In nearly 7 out of 10 cases, once a 4H candle closes "bullish" (breaking the previous high), the price continues higher to break its own high before it ever returns to take out its own low. Both Hit (17.7%): This is a critical metric. It represents "Stop Runs" or "Wicks" where price hits the target but also hits the invalidation within the same tracking period. Efficiency (1.3 Bars): This tells us the "follow-through" is almost immediate. If the trade doesn't work within 1 or 2 candles, the statistical edge drops off significantly. 3. The Session Breakdown (The Bottom Left Table) This is where the "Edge" is found. Not all hours of the day are created equal. Asian Late (02:00-06:00) – The "Star" Performer: With a 72.9% Target rate, this is labeled "BEST." It has the lowest "Both%" (6.5%), meaning moves during these hours are incredibly "clean." If a setup forms here, price usually moves directly to the target without looking back. London Open & Overlap (06:00-14:00): These sessions maintain a high win rate (approx. 70%). This suggests that the European session provides reliable trend continuation for the S&P 500. NY Session (14:00-18:00) – The "Trap" Zone: This is labeled "WORST" for a reason. While the win rate is basically a coin flip (49.6%), the Both% spikes to 36.7%. This means that even if you are right about the direction, the market is highly likely to "sweep" your stop loss before going to the target. It is the most volatile and "fake-out" prone time for this specific setup. Summary of the Data The statistics show that the S&P 500 4H Candle Bias is a highly reliable trend-following indicator, provided you trade it at the right time. The data suggests a clear three-step logic: Directional Edge: Both Bullish and Bearish body closes have a natural ~67% probability of continuation. Timing is Everything: Trading during the Late Asian and London sessions increases your probability of success to over 70% with very low risk of a "fake-out." Risk Warning: Avoid "Body Close" breakout strategies during the NY Mid-day (14:00-18:00). The statistics prove that this window is dominated by "Seek and Destroy" price action, where price is mathematically likely to hit both your target and your stop, usually hitting the stop first.
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MaxMaserati의
Volume And ROC Surge DetectorSharing this indicator I made for myself. Volume and ROC are early indicators of long moves. When ROC + Volume happens together, it's BOOM. This indicator called, Volume + ROC Surge Detector is a real-time momentum alert indicator designed to spot early institutional activity and explosive price moves. It combines Volume Surge analysis with Price Rate of Change (ROC) to identify when price and participation align. The script monitors abnormal volume relative to a moving average and confirms direction using ROC strength. When both volume expansion and directional momentum occur together, it triggers high-confidence “Boom” signals for bullish or bearish moves. To avoid noise, the indicator includes state-based alert control, ensuring each signal fires only once per condition change and only in real-time, not on historical bars. Key Features 1. Detects bullish and bearish ROC momentum shifts 2. Identifies positive and negative volume anomalies 3. Flags combined Volume + ROC “Boom” events 4. Real-time alerts only (no repaint, no bar-close spam) 5. Duplicate alert prevention using internal state tracking 6. Clean on-chart visual markers for instant recognition. Disable visuals for cleaner chart. Best Use Cases: 1. Catching breakouts and breakdowns early 2. Spotting smart money participation 3. Momentum confirmation for trend, intraday, and swing trading 4. Works across stocks, crypto, and indices Alerts: 1. ROC Bullish Alert When it fires: Price Rate of Change (ROC) crosses above the positive ROC threshold Alert messages: 🟢 ROC Change Bullish → TICKER @ price What it means: Price momentum has turned strongly bullish. Early sign of upside acceleration 2. ROC Bearish Alert When it fires: Price ROC crosses below the negative ROC threshold Alert message: 🔴 ROC Change Bearish → TICKER @ price What it means: Price momentum has turned strongly bearish. Early sign of downside acceleration 3. Positive Volume Surge Alert When it fires: Current volume exceeds Average Volume × Volume Surge Multiplier Alert message: 📈 +Ve Vol Change → TICKER @ volume What it means: Unusual participation / smart money activity. Strength entering the move 4. Negative Volume Alert (Volume Dry-Up) When it fires: Current volume drops below Average Volume ÷ Volume Surge Multiplier Alert message: 📉 -Ve Vol Change → TICKER @ volume What it means: Participation is fading. Trend exhaustion or consolidation risk 5. Boom Bull Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bullish ROC AND Volume Surge (high participation) Alert message: 💥 Boom Volume + ROC Bull → TICKER @ price What it means: Momentum + volume alignment. Strong breakout / continuation probability 6. Boom Bear Alert (High-Conviction Signal) When it fires: Both conditions occur together: Bearish ROC AND Volume Surge (high participation) Alert message: 💣 Boom Volume + ROC Bear → TICKER @ price What it means: Momentum + volume alignment to the downside. Strong breakdown / continuation probability This indicator is built for traders who want clarity, speed, and signal discipline—not lagging confirmations or noisy alerts.
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arupnj2018의
Body Close Continuity & failure Backtesting @MaxMaseratiThis indicator, is a highly advanced institutional-grade tool designed to track the "lifespan" of a trend based on Body Close (BC) sequences. Unlike basic indicators that just show direction, this script analyzes the structural integrity of a trend by monitoring how many candles continue the move before a "Touch" (retest) or a "Break" (failure) occurs. The Continuity & Failure Stats indicator tracks sequences of Bullish Body Closes (BuBC) and Bearish Body Closes (BeBC). It measures three critical phases: Building (pure momentum), Touching (price retesting the low/high of the sequence), and Resumption (price continuing the trend after a retest). It provides a statistical distribution of how long these "buildings" typically last before failing, allowing traders to know exactly when a trend is overextended. This comprehensive analysis blends the statistical breakdown of the Continuity & Failure Stats indicator to provide a deep understanding of the structural momentum for the S&P 500 E-mini (ES1!) on a 4-hour timeframe. 1. Extensive Table Breakdown A. Building Distribution (Left Table): The Fatigue Gauge This table acts as a histogram of momentum, tracking the "Building Count"—the number of consecutive candles closing in a trend without price returning to its origin. Count Column: Represents the streak length (e.g., 1, 2, or 3 candles). Touch Column: Shows how many times a streak was interrupted by a retest ("touch") but remained structurally intact. Break Column: Counts total structural failures where price closed beyond the sequence's anchor. Data Insight: For BuBC, 92 sequences reached Count 1, but only 28 remained by Count 4. This reveals a steep momentum decay after the 3rd candle, establishing a "Statistical Wall" where only 2 sequences in history reached a count of 9. B. MMM Summary Stats (Top Right): The Mathematical DNA This table provides the "Expected Value" and behavior of a trend over the lookback period. Avg Building (2.39 for BuBC): On average, a bullish move lasts ~2.4 candles of pure momentum before a retest or reversal occurs. Avg Touches (0.8): This low number indicates "clean" trends that rarely wobble back to retest levels multiple times before reaching a conclusion. Avg R Cycles (0.55): This suggests that once a bullish trend is interrupted, it only successfully resumes its momentum about half the time. Max R Count (1): Typically, once a trend is "touched," it only manages one more push before failing. C. Multi-Timeframe (MTF) Quick Stats (Bottom Right): Trend Weight This compares the 4H chart against other layers of the market to identify "global" alignment. Sample Comparison: There are 3,594 tracked BuBC sequences on the 4H compared to only 142 on the Weekly chart. Fractal Law: The Avg Building (2.4) is consistent across several timeframes, implying that the "Rule of Three" (momentum fading after 3 candles) is a fractal characteristic of this asset. 2. Table Comparison: Synthesizing the Data To trade effectively, you must compare Distribution (timing) against Summary Stats (averages): Continuity vs. Failure: The Summary Stats show an average building of 2.39. When checking the Distribution table at Count 2, the "Break" count (58) is already high relative to the "Total". This confirms that the risk of failure increases exponentially the moment you exceed the average. Momentum vs. Mean Reversion: Distribution tells you when a trend is "tired". If the 4H is at a "Building Count 4" (statistically overextended) while the Weekly chart is at "Building Count 1" (fresh momentum), you may choose to prioritize the higher timeframe's strength despite the local overextension. 3. Strategic Summary & Application This indicator proves that market momentum follows a predictable "Building" cycle rather than an infinite streak. The "Rule of Three" for ES1! 4H: The Entry Zone (Momentum Start): The most profitable entries occur at Building Count 1. Statistically, you have a high probability of reaching a count of 2 or 3. The Exit Zone (Momentum Limit): Take profits or tighten stops at Count 3. The data shows the sample size drops by nearly 50% between Count 3 and Count 4. The "Touch" Rule (Retest Reliability): If price returns to the sequence low (a "Touch"), do not expect a massive continuation. The Max R Count of 1 tells us that resumptions are usually short-lived. Danger Zone: Entering at Building Count 4 or higher is statistically dangerous, as the "Break" probability significantly outweighs the "Touch" or continuation probability.
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MaxMaserati의
ORB 5 Min Break & Retest + Alerts By KhanORB 5-Minute Break & Retest Indicator This indicator plots the high and low of the first 5-minute candle of the trading session (Opening Range). It then monitors price for a breakout above or below the ORB levels and triggers an alert when price retests the broken level and holds. Designed to help identify high-probability ORB continuation setups with clear visual levels and TradingView alerts. If you want, I can also: Make it even shorter (1–2 lines) Write a more detailed TradingView public script description Add a usage guide (rules + best timeframe) Disclaimer: This is general information only and not financial advice. For personal guidance, please talk to a licensed professional.
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Khasan88의
Witch-Fire ALMA signals: Dynamic Liquidity & Trend GlowThe Witch-Fire ALMA is a high-precision trend bias and liquidity mapping tool designed for price action traders and Smart Money practitioners. Unlike traditional indicators that clutter your chart with lagging signals, this script provides a "clean-yet-powerful" visual anchor to help you stay on the right side of the market while identifying key Points of Interest (POIs). At its core, the script utilizes an optimized Arnaud Legoux Moving Average (ALMA). Known for its superior ability to balance smoothness and responsiveness, the ALMA effectively filters out market noise and "whipsaws" that often plague standard EMAs. Key Features: The Witch-Fire Glow: A neon-styled ALMA line that shifts between Bullish Green and Bearish Red. The white core provides surgical precision for price intersection, while the outer glow visualizes the strength and dominance of the current trend. Scaled Liquidity Levels: Automatically maps Buy Side Liquidity (BSL) and Sell Side Liquidity (SSL). These levels are dynamic—they scale proportionally with your ALMA settings. This ensures that the liquidity zones you see are always relevant to the trend cycle you are analyzing. Strategic Bias Background: A subtle background tint provides an instant psychological filter. Only look for Longs in the green zone and Shorts in the red zone to maintain a high-probability strike rate. How to Trade with Witch-Fire: Identify the Bias: Look at the Fire ALMA. If the "fire" is red and the price is below the line, your bias is strictly bearish. Watch the Sweeps: Wait for the price to "sweep" (pierce with a wick) the horizontal SSL (Green) or BSL (Red) lines. Execution: Look for a strong rejection candle (long wick, small body) at these levels that closes back towards the ALMA line. Best Used On: 15m, 1H, and 4H timeframes. Works exceptionally well for Crypto, Forex, and Indices.
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CryptoWitch_NL의
Cantillon Risk Calculator [Free]Overview Stop guessing your position size. The Cantillon Risk Calculator is a lightweight utility that instantly tells you exactly how many units (Contracts/Coins) to buy based on your account size and risk percentage. How to Use Open Settings. Enter your Account Size (e.g., $10,000) and Risk % (e.g., 1%). Type in your Stop Loss price. The table instantly shows your Position Size. Looking for High Probability Setups? Risk management is only half the battle. To find where to enter using Institutional Order Blocks and Sigma Bands, you need the Cantillon Terminal .
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TheHeikinAshitrader의
Supply-Demand Dominance & Energy RibbonOverview: This indicator is specifically fine-tuned for the Nasdaq (NAS100) market. It combines volume-based Delta analysis (Supply-Demand) with price kinetic energy (Slope) to identify high-probability reversal points and trend strength. Key Features & Usage: Supply-Demand Dominance (Top-Right Label): Analyzes volume spikes over a 50-period lookback to determine market control. Displays "매수 우위" (Bullish Dominance) or "매도 우위" (Bearish Dominance) in real-time. Energy Ribbon (Bottom Visualization): Calculates the slope of the TCI oscillator to visualize momentum intensity. Solid Green/Red: Strong momentum. Faded Green/Red: Weakening momentum or minor trend. Momentum Combo Signals (Circle Shapes): Triggered when WaveTrend and TCI oscillators cross in extreme zones (Overbought 70 / Oversold 30). Smart Filter: Signals are only shown when they align with the current Supply-Demand dominance, reducing "market noise." Volume Spikes (Arrow Symbols): Indicates abnormal volume activity (1.5x average delta). These arrows (↑/↓) help identify potential breakout points or the climax of a move even when a full combo signal isn't present.
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eorneovy의
Williams Fractals / Goldilocks [NPR21]📊 Williams Fractals — Goldilocks Description Williams Fractals — Goldilocks highlights confirmed swing highs and lows using a refined Williams Fractals approach that balances signal frequency and clarity. BUY and SELL labels mark structurally important pivot points while avoiding chart clutter. The Periods (n) setting controls how often signals appear—lower values produce more signals, higher values filter noise. Signals are non-repainting and work on any instrument and any timeframe. Best used as a market structure and confirmation tool. 🔧 How to Use (Quick Guide) BUY labels = confirmed swing lows (potential support / pullback areas) SELL labels = confirmed swing highs (potential resistance / exhaustion areas) Use for structure and confirmation, not as a standalone entry system Combine with trend direction, key levels, VWAP/EMAs, volume, or momentum ⏱️ Recommended Periods by Timeframe The Periods (n) setting determines how many and how often labels print. 1m–3m (Scalping): n = 2 More frequent signals; captures short-term swings. 5m–15m (Intraday): n = 8-9 Balanced sensitivity; filters minor noise. 30m–1h+ (HTF/Swing): n = 15-21 Fewer, stronger pivots; highlights major structure. Rule of thumb: Lower timeframe → lower n. Higher timeframe → higher n. 🌍 Markets & Timeframes Not futures-only. Works well on stocks, ETFs, forex, crypto, indices, and any timeframe. Adjust n to match the market’s pace.
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NPR21의
VWAP Extreme Zones (Elite Style)Short Description VWAP Extreme Zones (Elite Style) highlights statistically stretched price areas above and below VWAP, helping traders identify potential overextension, mean-reversion zones, and high-risk breakout areas during intraday sessions. Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade signals. All trading involves risk. Always confirm with price action, market context, and proper risk management before taking any trade.
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helpfulZebra8xmnt의
Price Action High 2 + Risk/Reward VisualizerIntroduction: Price Action High 2 (Bull Flag) Setup This script identifies the High 2 (H2) setup, a staple price action pattern popularized by Al Brooks. The High 2 is a high-probability continuation pattern designed to catch the resumption of a bull trend after a two-legged pullback (a "complex" bull flag). In a strong uptrend, the first attempt to end a pullback often fails (High 1). The High 2 represents the second, and usually more reliable, attempt by bulls to take control, often forming a "double bottom" structure within the flag. How the Logic Works The indicator follows a strict state-machine logic to ensure the pattern is valid: Trend Confirmation: The script filters for an established uptrend where price is above a rising EMA (adjustable in settings). Pullback Identification: It looks for a sequence of bars making lower highs. High 1 (H1): The first bar in the correction that breaks above the high of the prior bar. The Second Leg: The script then waits for the price to again fail to break a high, confirming a second leg of the pullback. High 2 (H2): The signal is triggered when a bar breaks the high of the previous bar for the second time. Key Features Signal Bar Quality Filter: Not all High 2s are equal. This script includes a filter ensuring the signal bar closes in the upper portion of its range (bullish conviction) to avoid "weak" breakouts. Automated Risk/Reward Visualizer: Upon a signal, the script automatically projects a Stop Loss (at the signal bar low) and a Take Profit level based on a customizable R:R ratio. Clean Visuals: Labeled "H2" markers and dashed trend lines keep the chart uncluttered. How to Trade It Entry: Place a buy-stop order 1 tick above the High 2 signal bar. Stop Loss: Traditionally placed below the low of the signal bar or the most recent swing low. Target: Common targets include a 1:2 Risk/Reward ratio or the previous major swing high. Settings Guide EMA Length: Adjust this to match your timeframe (e.g., 20 for intraday, 50 for daily). Min Close %: Set this to 50% or higher to ensure you only take trades where the bulls finished the bar strong. Risk:Reward Ratio: Customize your profit targets to align with your personal trading plan.
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rhotov의
Aroon (Any Source)Aroon (Any Source) Overview This indicator is an enhanced version of the classic Aroon Oscillator. It measures trend dominance based on the recency of highs and lows, with added flexibility to operate on any chosen source series and an optional price-scaling mechanism based on VWAP distance. What the Indicator Does The Aroon Oscillator compares how recently the most recent high and low occurred within a lookback window. The result is a bounded oscillator that indicates whether buyers or sellers are currently dominant. This version adds: - Ability to run Aroon on any source - Optional smoothing to reduce noise - Optional VWAP-based price scaling Core Outputs • Aroon Up (0–100): Strength of recent highs • Aroon Down (0–100): Strength of recent lows • Aroon Oscillator (−100 to +100): Net dominance (Up − Down) Inputs and Options • Source: Input series used for calculations • Aroon Length: Lookback window • Use Source for High/Low: Enables Aroon-like mode on any series • Show Oscillator: Toggles oscillator plot • Show Aroon Up/Down: Toggles component lines • Smooth Oscillator: Light smoothing (EMA/RMA/SMA) • VWAP Price Scaling: Scales signal by VWAP distance normalized by ATR How to Use It Use the oscillator as a trend regime filter. Positive values indicate bullish dominance; negative values indicate bearish dominance. VWAP scaling helps suppress signals near equilibrium and emphasize extended moves. Practical Notes • Measures recency, not magnitude • Best used as a regime or bias input • Especially effective intraday with VWAP scaling
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AJSwogger의
NeuroPolynomial ChannelNeuroPolynomial Channel is a structure-oriented price channel designed to model price curvature, balance, and realized deviation using recursive non-linear smoothing. Rather than relying on standard moving averages or statistical volatility assumptions, the indicator separates structure estimation from deviation measurement, allowing each to adapt independently. Structural Core (Recursive Curvature Line) The centerline is generated using a recursive smoothing process with controlled curvature. By blending current price with historical estimates and introducing a curvature term, the line forms a non-linear structural path that adapts gradually to changing market conditions. This approach emphasizes: Structural continuity over short-term noise Gradual regime transitions instead of abrupt shifts User-controlled responsiveness via curvature and blending parameters The result is a centerline that reflects price structure, not just short-term averages. Deviation Field (Adaptive Bands) Channel width is derived from the observed absolute deviation between price and the structural core. Instead of assuming a normal distribution, deviation is measured directly from realized price behavior and expressed through multiple band layers: Inner structure boundary Intermediate deviation zone (optional) Outer deviation boundary (optional) As price behavior changes, the deviation field expands or contracts organically, providing a contextual view of compression, balance, and expansion. Interpretation Framework Balance & Control Persistent acceptance on one side of the structural core reflects directional control. Compression Narrow deviation bands signal reduced realized movement and potential energy buildup. Expansion Widening bands indicate increasing deviation and active range development. .................................................................................................................. The indicator is intended for contextual interpretation, not mechanical signal generation. Configuration Length – Structural memory depth Morph Factor – Degree of historical blending Flatten Factor – Curvature sensitivity control Deviation Multipliers – Band spacing Visual Controls – Theme and candle tinting Notes: Deviation is derived from realized price movement and adapts gradually. Recursive calculations initialize from available chart history. This tool does not forecast future prices. Disclaimer: This indicator is provided for analytical and educational purposes only. It does not constitute financial advice or a trading recommendation.
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NeuralMarkets의
Shock Wave: EMA9 Slope / ATR (Normalized) for SPYShock Wave – EMA9 Slope Normalized by ATR (Fragility Gauge) This indicator measures trend fragility, not direction. Instead of relying on visual trendline angles (which change with zoom and chart scaling), this tool normalizes the slope of the 9-EMA by ATR, producing a scale-independent steepness metric that remains consistent across timeframes and zoom levels. The goal is to identify late-stage acceleration and liquidity vulnerability — conditions where price is advancing faster than inventory can rebalance and the market becomes sensitive to forced liquidation. What this indicator shows Normalized EMA9 slope (ATR per bar) An angle-like degree value derived from the normalized slope (for intuition only) Background shading to highlight trend maturity / fragility A compact table showing live readings on the chart How to interpret Green / low values (< ~0.30 ATR/bar): Healthy, sustainable trend Orange / mid values (~0.30–0.40 ATR/bar): Late-stage acceleration Red / high values (≥ ~0.45 ATR/bar): Fragile / liquidation-prone conditions These thresholds are empirically derived from historical index behavior (e.g., SPY prior to 2018, 2020, 2022 volatility events). Important notes This is not a buy or sell signal Red does not mean “short” The indicator highlights risk asymmetry, not timing Best used on higher timeframes (weekly) in conjunction with liquidity, inducement, and higher-timeframe structure analysis Why use this Markets often fail after strong trends, not because they are weak, but because they are crowded. This tool helps quantify when a trend has become structurally vulnerable, providing context for liquidity-based frameworks and macro risk management.
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virgalwilliams의
SR Channel + EMA + RSI MTF + VolHighlight - Edited by MochiSR + Volume + RSI MTF – edited by Mochi This indicator combines three tools into a single script: SR Zones from Pivots Automatically detects clusters of pivot highs/lows and groups them into support and resistance zones. Zone width is tightened using a percentage of the pivot cluster range so levels are more precise and cleaner. Each zone includes: A colored box (SR area), A dashed midline, A POC line (price level with the highest traded volume inside the zone), A label showing the zone price and distance (%) from current price. Zone color is dynamic but simple and stable: If price closes below the mid of the zone → it is treated as resistance (red). If price closes above the mid of the zone → it is treated as support (green). Box, lines, and label always share the same color. Volume Inside the Zone + POC Calculates buy/sell volume for candles whose close lies inside each zone. Uses abs(buyVol − sellVol) / (buyVol + sellVol) to measure volume imbalance and control box opacity: Stronger, more one‑sided volume → darker box (stronger zone). POC is drawn as a thin line with the same color as the zone to highlight the best liquidity level for entries/TP. Multi‑Timeframe RSI Dashboard Shows RSI(14) values for multiple timeframes (1m, 5m, 15m, 30m, 1h, 4h, 8h, 1d), each can be toggled on/off. Background color of each RSI cell: RSI > 89 → red (strong overbought), 80–89 → orange (warning area), RSI < 28 → lime (strong oversold), Otherwise → white (neutral). The goal of this script is to give traders a clear view of: Key support/resistance zones, Their volume quality and POC, And multi‑TF overbought/oversold conditions via the RSI dashboard – all in one indicator to support retest/flip‑zone trading.
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anhfcg의