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Jezzy Harmonic. jezzyharmonic testing Introducing the Jezzy Harmonic Pattern Scanner: Precision in Price Geometry The Jezzy Harmonic Indicator is a sophisticated technical analysis tool designed to identify high-probability reversal zones using advanced geometric price patterns. By automating the detection of complex harmonic structures, it allows traders to focus on execution rather than manual charting. Key Features Automated Pattern Recognition: Instantly detects classic harmonic structures including the Gartley, Bat, Butterfly, and Crab patterns. Precision PRZ (Potential Reversal Zone): Automatically calculates and highlights the specific price levels where the pattern completes, identifying high-confluence entry points. Real-Time Liquidity Integration: Designed to work alongside Smart Money Concepts (SMC), filtering patterns based on liquidity sweeps and market structure shifts. Multi-Timeframe Capability: Seamlessly scans across various intervals, from intraday scalping charts to long-term swing trading setups. Visual Clarity: Clean, non-repainting interface that provides clear labels for XABCD points and target ratios.
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מאת ‎voidex‎
Pullback Marker (Inside Bars Ignored) by Shadow Quant TraderPullback Marker (Inside Bars Ignored) This indicator is designed to identify pullback highs and pullback lows while completely ignoring inside bars. How it works: Every inside bar is skipped from the counting logic. If multiple candles remain inside the range of the mother candle, all of them are ignored until a real breakout candle appears. The indicator then evaluates only the real candles, not the inside bars. Pullback high logic: A pullback high is marked when the middle real candle forms the highest high compared to the candles before and after it. If the next candle has the same high, the indicator waits. If a later real candle then forms a lower high, the first candle of that equal-high sequence is marked as the pullback high. Pullback low logic: A pullback low is marked when the middle real candle forms the lowest low compared to the candles before and after it. If the next candle has the same low, the indicator waits. If a later real candle then forms a higher low, the first candle of that equal-low sequence is marked as the pullback low. Features: Ignores all inside bars in a mother-candle chain Marks only valid pullback highs and lows Handles equal-high and equal-low cases correctly Uses arrows placed close to candles for clear chart reading
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מאת ‎ShadowQuantTrader‎
4
Pattern Match Price ProjectionPattern Match Price Projection is a price forecasting tool built on historical analog analysis. It scans past market data to find segments of price action that closely resemble the most recent pattern, then uses what followed those similar setups to construct a forward projection. Instead of relying on a single historical match, the model aggregates multiple high-quality analogs and produces an averaged path, along with adaptive upper and lower bands that reflect the dispersion of those outcomes. The projection is derived from return-based pattern matching, with optional normalization to focus on structural similarity rather than magnitude. This allows the model to identify recurring behaviors across different volatility regimes and price levels. The result is a forward estimate that reflects how the market has historically behaved after similar conditions, rather than a purely reactive or lagging indicator. A visual overlay of the current pattern is included to provide context for what the model is evaluating in real time, making it easier to interpret why a projection is being generated. The forecast itself can be anchored either to the most recent closing price or to a smoothed price reference, depending on preference. Non-repaint mode ensures the projection remains stable during an active candle, while live mode allows it to update dynamically as price evolves. This tool is best used as a contextual framework for anticipating potential price paths based on historical precedent. It does not attempt to predict exact outcomes, but instead highlights probabilistic structure derived from prior market behavior.
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מאת ‎tgregg75‎
Higher / Lower Close Count PRO+ (Daily close counts)Simply counts the number of days closed higher or lower as a reference point to gauge where you are versus historical runs Displays in table the historical days closed higher or lower on the instrument regardless of weekly or monthly display wanted to display the max up and down days to put rallies into historical context user can switch off table display, or change number of run events. need to look at it in daily view to see current set up and compare to historical to see if an instrument is at a potential inflection point or the rally is long in the tooth I hope you have successful trading and you find this useful at extreme runs to see how rare an event this is or can the market carry the instrument further. It may be useful tool to go back an analyse the count runs in stocks quickly in bear (or bull) market rallies. You could code that, so this is open for anyone to take it further. If you find it useful please drop a note to say so and make my day happier, that I was able to help.
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מאת ‎William_Playfair‎
1
COD - Time-Exit Framework (Shareable)COD - Time-Exit Framework (Shareable) is a multi-timeframe trade-management overlay built for traders who manage exits by both time and momentum. It combines a structured 10-23 bar decision window, EMA context (10/55/100), and Squeeze Momentum + ADX behavior to help you avoid overholding and only re-enter when confirmation returns. What it does Time-based framework Tracks bars from your entry anchor Highlights the active management window (minBars to maxBars) Flags thesis decay after the max-bar threshold Trend context with EMAs Plots EMA 10, EMA 55, and EMA 100 Supports target logic around EMA pullback zones Momentum/strength confirmation Squeeze Momentum turning-point dots Green dot logic filtered to negative-to-positive momentum transitions ADX slope checks to detect strengthening vs weakening trend pressure Exit and re-entry workflow Optional post-exit No Buy Mode Re-entry gate requires confirmation (with optional strict 2-bar mode) BUY OK marker appears only when reconfirmation criteria are met Target zone engine Three modes: Manual (fixed user-defined zone) Dynamic EMA (Snapshot on Exit) (captures EMA55/EMA100 at trigger) Dynamic EMA (Live) (zone updates with moving EMAs) Configurable zone duration in bars Visual start/end labels for expected move window Chart clarity controls Minimal Mode: EMAs + SM dots only Full mode: adds timing markers, zone overlays, and diagnostic states Best use case Designed for swing/intraday management where entries are confirmed by your system, and exits are controlled by: elapsed bars, momentum rollover, and trend-strength behavior. Notes This is a decision-support tool, not automated financial advice. Works on 4H, D, W, M, and other chart intervals. Tune lengths/thresholds per market and volatility regime.
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מאת ‎newbnet‎
VROC Percentage Standardized Momentum Indicator (RevisedVersion)指標走勢，幫你做一個即時嘅 「量化分析解讀」： 1. 指標當前狀態分析 VROC 數值 (目前約 0.61)：數值係正數，代表輝達（NVDA）目前嘅動能依然係向上推升緊。 柱狀圖高度：你留意到最近嘅柱位雖然係青色，但高度似乎比之前一兩波爆發時矮咗少少。呢個就係你想要捕捉嘅「升勢變慢」跡象。 2. 「背離」預警嘅實戰觀察 未見三角形？ 如果圖表暫時未見橙色三角形，代表目前雖然升勢慢咗，但仲未達到「價格創新高但動能大幅萎縮」嘅極端背離條件。 領先性驗證：根據我哋 Python 之前測出嚟嘅 Lag 3 同 Lag 21。你可以睇返圖入面 VROC 轉向（由高位跌返落嚟）嗰一刻，股價通常會喺 3 日後 開始停滯，或者喺 一個月後 出現明顯調整。 3. 未來操作建議 留意背離出現：如果股價繼續衝，但下面呢啲青色柱（VROC）不斷縮短，橙色三角形就會彈出嚟。嗰個就係大戶開始「派貨」嘅統計學鑒定。 參數微調： 如果你覺得訊號太慢，可以喺 Setting 將 「速率週期 (n)」 由 22 改細啲（例如 10）。 如果你想睇更長線嘅派貨，就保持 22 或者改大佢。 Indicator Trends: Real-time Quantitative Analysis and Interpretation: 1. Current Indicator Status Analysis VROC Value (Currently around 0.61): The value is positive, indicating that NVDA's momentum is still pushing upwards. Histogram Height: You may have noticed that while the recent bars are cyan, their height seems slightly lower than during the previous one or two surges. This is the "slowing uptrend" sign you're looking for. 2. Practical Observation of "Divergence" Warnings No Triangle? If the chart doesn't currently show an orange triangle, it means that although the uptrend has slowed, it hasn't yet reached the extreme divergence condition of "price making a new high but momentum significantly weakening." Leading Validation: Based on our previous Python tests of Lag 3 and Lag 21... You can see in the chart that when the VROC turns (falling back from a high), the stock price usually stagnates after 3 days or shows a significant correction after a month. 3. Future Trading Suggestions Watch for divergence: If the stock price continues to rise, but the lower blue bars (VROC) keep shortening, an orange triangle will appear. This is a statistical indicator that large investors are starting to "distribute" their holdings. Parameter Fine-tuning: If you feel the signal is too slow, you can change the "Rate Period (n)" in Settings from 22 to a smaller value (e.g., 10). If you want to observe a longer-term distribution pattern, keep it at 22 or increase it.
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מאת ‎KenLau‎
Daily Bias - Bull / Bear / Neutral [Phil Vo]This indicator is built to help traders quickly understand the current daily market bias in a simple visual way. It combines basic market structure with moving average trend filters to classify price conditions as bullish, bearish, or neutral. The script looks at swing highs and swing lows to detect whether price is forming higher highs and higher lows, or lower highs and lower lows. It then confirms that structure with the 50-period and 200-period moving averages. When both structure and trend filter agree, the indicator displays a clear directional bias. When they do not align, it shows a neutral or choppy condition instead. The goal is to reduce confusion and help traders stay aligned with the broader directional context before looking for entries on lower timeframes. Key features: Clear Bullish / Bearish / Neutral bias label Optional background color for fast chart reading 50 MA and 200 MA trend filters Swing-based market structure confirmation Last swing high and swing low reference points Alert conditions when bias flips bullish or bearish This is not a signal or entry tool. It is designed as a simple decision-support overlay to help traders understand whether the market structure and trend are aligned. You can use it as a higher-timeframe guide before planning executions with your own strategy, price action model, or risk management rules.
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מאת ‎BullBearInsights‎
MTF MA Matrix - Clean BaseMTF MA Matrix PRO – Trend & Alignment Strategy Overview This study is built to analyze trend direction and continuity by evaluating moving average structures across multiple timeframes. Instead of relying on a single timeframe, the system focuses on how different timeframes align with each other to provide a broader market perspective. The goal is not to predict tops or bottoms, but to participate in structured and sustained trend movements. Core Logic 1. Trend Structure The system evaluates: * Moving average positioning * Slope (direction and strength) * Price location relative to averages This defines whether the market is trending or not. 2. Multi-Timeframe Alignment (MTF) The following timeframes are used together: 1H, 2H, 4H, 8H, 12H, 1D A full alignment is not required. Instead, a minimum number of timeframes moving in the same direction is considered sufficient. This keeps the system flexible while maintaining structural integrity. 3. Entry and Exit Logic LONG: Uptrend structure + momentum + alignment SHORT: Downtrend structure + momentum + alignment EXIT: Loss of structure or weakening alignment The system is trend-following by design. It does not attempt to capture exact turning points. Calculation Approach The model does not rely on a single indicator. It combines multiple factors: * Moving average slope * Relative distance between averages * Price positioning * Cross-timeframe agreement Slope calculations are normalized to reduce volatility distortion. This allows the system to behave consistently across different assets and timeframes. Trend quality is determined by how short, medium, and long-term averages interact with each other, rather than a single crossover event. Moving Average Type The system is optimized for EMA usage by default, but other types can be tested. Risk Management Optional components include: * ATR-based stop * Trailing stop The default behavior favors holding trends rather than exiting too early. Visual Components The chart includes: * Main moving averages * EMA250–500 cloud * Entry and exit markers * Multi-timeframe status table The table represents structural conditions, not direct order execution. Optimal Timeframes Best performance is observed on higher timeframes: 4H – primary execution 8H – trend filter 12H – strong trend confirmation 1D – macro direction 1W – optional higher-level context Lower timeframes produce more signals but introduce more noise. Important Notes This is a trend-based system. Performance may decrease in sideways markets. Signals are fewer but more selective. The system may remain inactive during unclear conditions. Risk management is strongly recommended. Practical Note This script has been developed through iterative testing and observation rather than a single fixed model. Parameters and structure were adjusted over time based on how the system behaves across different market conditions. Summary Multi-timeframe approach Trend-focused logic Noise filtering Selective entries Final Remark The intention is not to trade every move, but to stay aligned with meaningful ones. Like any system, it requires consistency and discipline to be used effectively.
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מאת ‎ALCIVOOO‎
EMA 9/20 Yellow Signal with PriceStrategy Overview: EMA 9/20 Crossover with Dynamic Price Labels Description This indicator is designed for traders who utilize Exponential Moving Averages (EMA) to identify short-term momentum shifts and trend reversals. It specifically tracks the relationship between the 9-period EMA (fast) and the 20-period EMA (slow). The script eliminates the need for manual price checking by automatically printing the exact execution price directly onto the chart the moment a crossover occurs. Key Features Automatic Trend Detection: Identifies "Golden Crosses" (Bullish) and "Death Crosses" (Bearish) instantly. High-Visibility Labels: Uses bright yellow labels with black text for maximum readability against any chart theme (Dark or Light). Dynamic Price Printing: Every signal includes the exact close price of the candle where the crossover was confirmed. Clean UI: Labels are strategically placed above (for Sell) and below (for Buy) the candles to prevent overlapping with price action. Best Practices for TradingView Users Timeframes: While effective on all timeframes, it excels on the 5m, 15m, and 1H charts for capturing intraday swings. Confirmation: Use this indicator in conjunction with volume or support/resistance levels to avoid "whipsaws" during sideways/flat markets. Alerts: You can easily set alerts on this script by clicking the three dots on the indicator name in your legend and selecting "Add Alert." Technical Details Script Version: Pine Script v5 Indicator Type: Overlay (Plots directly on the price chart) Calculation: Uses the ta.ema and ta.crossover built-in functions for precision and low-latency processing.
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מאת ‎AlvinLe‎
BTC Average Daily Returns by DayAverage Daily Returns by Day A clean weekday performance dashboard that shows the average daily return for each day of the week using a selectable lookback period. The script uses daily data internally, so it stays consistent across chart timeframes while letting you view the stats directly on your chart as either a table or a centered top bar. Features Weekday average returns 1W, 2W, 1M, 3M, 6M, 1Y lookbacks Table or top bar display Current-day bias signal built into the UI Optional heatmap, best/worst day highlight, and sample count Custom colors and preset themes How to use Use it to quickly see whether a market has recently shown stronger or weaker performance on specific weekdays. It works best as a context tool alongside price action, structure, volatility, and broader market conditions. Important This indicator is descriptive, not predictive. Weekday tendencies can shift, especially on shorter lookbacks, so it should not be used as a standalone signal.
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מאת ‎wabbles‎
Predictive Monte Carlo Engine [LuxAlgo]The Predictive Monte Carlo Engine tool is a high-performance forecasting suite that uses probabilistic simulations to project future price paths based on historical volatility and market regimes. 🔶 USAGE The indicator generates hundreds of potential price paths starting from the current bar (or an anchored point) to visualize the most likely price distribution over a user-defined projection length. It serves as a powerful volatility and support/resistance mapping tool, providing traders with an "expected value" range rather than a single fixed forecast. Users can choose between three distinct mathematical methods to generate these paths, apply regime filters to isolate specific market conditions, and utilize a real-time dashboard that renders a visual "forecasted candle" for the next period. 🔹 Anchor Mode By default, the simulation recalculates and updates on every new bar. By enabling Anchor Mode , users can lock the projection starting point. The engine will then only update every X bars (e.g., every 100 bars). This allows traders to observe how price actually reacted against historical Monte Carlo projections and Support/Resistance levels as the chart progresses. 🔶 DETAILS The engine utilizes three primary simulation methodologies: Geometric Brownian Motion (GBM): A stochastic process that assumes returns follow a log-normal distribution. This is the industry standard for modeling asset prices, ensuring prices remain positive and incorporating both drift and volatility. Simple Random Walk (SRW): A basic additive model where price changes are sampled from a normal distribution based on historical mean and standard deviation. Historical Shuffle (Bootstrapping): Instead of using random numbers, this method randomly samples actual historical price returns from the lookback period. This preserves the "fat tails" and unique characteristics of the specific asset being traded. 🔹 Regime Filtering To improve accuracy, the engine can filter the historical data used for simulations. If "Trend" or "Momentum" regimes are selected, the indicator only calculates volatility and drift from past bars that match the current market environment (e.g., only using data from previous uptrends to forecast a current uptrend). 🔹 Fading S/R Zones The tool identifies four key levels based on the simulation distribution: Max, R1 (90th percentile), S1 (10th percentile), and Min. These are rendered as horizontal zones that feature a unique horizontal gradient, fading as they extend into the future to represent the increasing uncertainty of the projection over time. 🔶 SETTINGS 🔹 Monte Carlo Settings Simulation Method: Choose between GBM, SRW, or Historical Shuffle. Regime Filter: Filter historical data by Trend (SMA) or Momentum (RSI). Historical Lookback: The number of past bars used to calculate volatility. Projection Length: How many bars into the future the paths extend. Simulation Count: Number of individual paths to calculate (max 200). Volatility Multiplier: Scales the historical volatility to simulate "stress-test" scenarios. Anchor Mode: When enabled, locks the projection to update only at specific intervals. 🔹 Style Path Percentiles: Adjust the thresholds for coloring the "Top" and "Bottom" path groups. Colors: Customize the colors for bullish, bearish, and neutral paths, as well as the average projection line. Show S/R Levels: Toggles the visibility of the horizontally fading Support and Resistance zones. 🔹 Dashboard Show Dashboard: Toggles the statistical metrics table. Next Candle Prediction: Enables the "Forecasted Candle" visual, which uses the 1-bar-ahead expected mean and distribution to render a text-based candlestick on the dashboard.
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מאת ‎LuxAlgo‎
7
Wednesday open & closeWednesday open & close This indicator draws two vertical lines each week to clearly mark key time boundaries: The start of Wednesday at 12:00 AM The start of Thursday at 12:00 AM (end of Wednesday) It is designed to help traders easily identify and analyze midweek price behavior and patterns. Users can customize the line colors, style, width, and choose how many months of historical levels to display for a cleaner chart. Ideal for traders who focus on weekly structure, session timing, or Wednesday-specific strategies.
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מאת ‎richardbirbalsingh‎
TraxisLab Liquidation Heatmap The TraxisLab Liquidation Heatmap visualizes potential liquidation zones based on price structure, volume, and leverage dynamics. It is designed to provide a clear view of where liquidity is likely to accumulate directly within the chart. What this indicator does The indicator identifies price areas where leveraged long and short positions are most likely to be liquidated. It uses pivot-based structure combined with volume and configurable leverage levels from 10x up to 100x to estimate and display these zones as a dynamic heatmap. The goal is to highlight areas of concentrated liquidity, potential stop hunts, and zones where price is more likely to react. Core functionality Anchor data support allows the use of an external symbol, such as Binance perpetual futures, to improve the realism of the calculations. Leverage-based calculations are applied across multiple tiers including 10x, 25x, 50x, and 100x. Volume-weighted estimation assigns each zone an approximate liquidation size in millions of USD. Cluster detection groups nearby zones together, indicating stronger areas of liquidity concentration. Nearest zone identification highlights the most relevant zone relative to the current price. Detailed tooltips provide additional context such as price level, long and short distribution, estimated size, and distance from the current market price. Time-based fading reduces the visibility of older zones, keeping the focus on more recent data. Visual structure The indicator displays heatmap-style zones directly on the chart, with separate color schemes for long and short liquidations. Intensity varies depending on leverage and clustering strength. Optional cluster lines improve readability, while labels provide a concise overview of each zone. An integrated table summarizes the most relevant nearby levels. Calculation methodology Liquidation zones are derived from market structure. Pivot highs are used to estimate potential short liquidations. Pivot lows are used to estimate potential long liquidations. The calculations are based on the following formulas: Short liquidation is calculated as price multiplied by one plus one divided by leverage. Long liquidation is calculated as price multiplied by one minus one divided by leverage. Additional factors include volume data, ATR for zone sizing and clustering, and a simulated position allocation model. Important note This indicator provides estimated liquidation zones and does not use actual exchange liquidation data. The calculations are based on typical leverage behavior and market mechanics and are intended to approximate where liquidity is likely positioned. Application The indicator can be used to identify potential liquidity targets, anticipate volatility, and refine entries and exits around key levels. It can also be combined with price action or other analytical methods for more advanced strategies. This tool is intended for traders who focus on liquidity, structure, and market behavior.
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מאת ‎TraxisLab‎
PnL Target/Stop Calculator $100 - $2000This tool plots gains and losses in $100 increments from $100 - $2000. This can be used to find stop losses and targets based on PnL or to find the price where a specific loss or gain will occur at, and this is shown visually on chart with horizontal lines. The user must define 2 values: The average entry price and how much is invested. This is done by going into the indicator's settings and clicking the Input tab. Both entry and cash amount are used to determine where $100 increments of gain and loss are. What's displayed? - The brightest solid green line shows your entry. - The skinniest dashed green line shows $100 loss/gain. - The dotted green line shows $200 loss gain. - It also contains a 1.6% stop, shown by the dashed purple lines. - Solid green lines are $1000, $1500, and $2000. After $1000 gain, the indicator shows gain in $250 increments up until $2000. While PnL loss only goes up to $1000. Here is how this is calculated: $100 loss = . $100 gain = $200 loss = . $200 gain = ...And so on. To keep the horizontal lines after the indicator is removed, draw a horizontal ray or a horizontal line where the lines are drawn by the indicator and then remove the indicator after drawing the lines you wanted.
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מאת ‎CryptoNFood‎
Soportes y Resistencias Importantes Soportes y Resistencias Importantes ¿Qué hace este indicador? Detecta automáticamente los niveles de soporte y resistencia más relevantes del gráfico basándose en el volumen real de mercado, no en fórmulas arbitrarias. La idea es simple: cuando el precio toca un nivel con un volumen muy elevado, ese nivel tiene memoria — el mercado lo recuerda y suele reaccionar en él en el futuro. --- ¿Cómo funciona por dentro? 1. Busca picos de volumen — El indicador escanea el histórico visible en pantalla y localiza las barras donde el volumen fue notablemente superior a la media. Estos son momentos donde hubo una batalla real entre compradores y vendedores. 2. Registra el precio de cierre en ese pico — El precio al que cerró esa barra de alto volumen se guarda como un nivel potencial. Es el precio donde el mercado "decidió" moverse con fuerza. 3. Agrupa niveles cercanos (clustering) — Si varios picos de volumen se produjeron cerca del mismo precio, el indicador los fusiona en un único nivel más preciso. Así evita mostrar cinco líneas casi idénticas. 4. Clasifica automáticamente — Compara cada nivel con el precio actual: - Los niveles por debajo del precio → Soportes (azul por defecto) - Los niveles por encima del precio → Resistencias (amarillo por defecto) 5. Muestra solo los más importantes — De todos los niveles detectados, filtra únicamente los top 5 soportes y top 5 resistencias con mayor volumen asociado. Menos ruido, más señal. 6. Rango visible — Traza dos líneas extra marcando el máximo y mínimo del rango visible en pantalla, útil como referencia rápida de hasta dónde ha llegado el precio en el período analizado. --- ¿Qué muestra en pantalla? - Líneas horizontales extendidas a ambos lados del gráfico, en el color de soporte o resistencia según corresponda. - Etiquetas de precio encima de cada línea, alineadas a la derecha del gráfico, indicando el nivel exacto y cuántas veces ese cluster fue confirmado (ej: 84.250 x3 = nivel tocado con alto volumen 3 veces). - Dos líneas de rango (máximo y mínimo visible) en colores diferenciados. --- Configuración: La ventana de configuración se divide en cuatro secciones: - Volumen — controla qué tan exigente es el detector de picos (barras de contexto y multiplicador sobre la media) - Clustering — cuántos niveles mostrar como máximo y qué distancia porcentual hace que dos niveles se fusionen en uno - Soportes / Resistencias — color, grosor y estilo de línea para cada tipo - Rango visible — personalización de las líneas de máximo y mínimo del área visible --- ¿Para quién es útil? Para cualquier trader que opere con price action y quiera tener en pantalla los niveles donde el mercado ha demostrado interés real, sin necesidad de dibujarlos manualmente. Funciona en cualquier activo (crypto, forex, acciones, futuros) y en cualquier temporalidad. ▎ Nota: El indicador trabaja sobre las barras visibles en pantalla. Si haces zoom in o zoom out, los niveles se recalculan en función del nuevo rango visible.
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מאת ‎Oberluz‎
2
Event Marker (20 Events)Dear User, This script helps you to mark custom events of your choice to study its effects. Select date and time of events you want and the indicator will draw vertical lines of selected color and place your text / comments / event name on labels. Script has been made with the help of ChatGPT and hence: 1. It has a lot of scope for improvement - suggestions are welcome 2. It is published as open source since there is very less effort involved in writing the script Regards, Team Optimismo
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מאת ‎Optimismo_Services‎
Aegis Quantum Oracle [wjdtks255]Aegis Quantum Oracle: Energy Velocity Forecast ■ OVERVIEW The Aegis Quantum Oracle is a next-generation momentum forecasting framework designed to identify structural market shifts through Energy Velocity Analysis. By calculating the acceleration and deceleration of capital flow, this system predicts potential reversals before they manifest in price action. ■ TECHNICAL ARCHITECTURE Luminous Smoothing Engine: Utilizes an EMA-based pre-filter to eliminate market noise, ensuring that the energy calculation is based on high-conviction price data. Quantum Velocity Vector: The core algorithm calculates histVelocity—the second derivative of momentum—to track the rate of change in market energy. Oracle Thresholding: Signals are normalized against a 50-period historical average (avgEnergy) to maintain statistical significance across different volatility regimes. ■ PREDICTIVE FORECASTING (ORACLE DOTS) Energy Ignition (Green Dots): A leading indicator for bullish reversals, appearing when bearish momentum bottoms out and buy-side velocity begins to accelerate. Energy Freezing (Red Dots): A leading indicator for bearish reversals, appearing when bullish momentum reaches an exhaustion peak and sell-side velocity takes over.
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מאת ‎wjdtks255‎