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ค้นหาในสคริปต์สำหรับ "VWAP"

Bank Nifty ScalpingThis indicator is designed for scalping purposes. Users have the option to input the desired source and enable or disable the following indicators: Multiple EMA (Exponential moving average) Simultaneously displays multiple moving averages to quickly identify shifts in momentum and obtain confirmation from slower-moving averages. By default, the EMA display settings are configured to show the 20-day EMA and the 200-day EMA. However, users have the flexibility to modify the display settings according to their preferences. This means that users can customize the indicator to show the EMA values of their choice, such as EMA 50 and EMA 100. VWAP ( Volume weighted average price ) Default value is set to ‘hl2’ A bullish trend is indicated when the price is above the Volume Weighted Average Price (VWAP), while a bearish trend is indicated when the price is below the VWAP. VWMA ( Volume weighted moving average ) In the VWMA (Volume Weighted Moving Average) indicator, a default value of 20 is used. If the price is higher than the VWMA, it typically indicates a bullish trend. Conversely, if the price is lower than the VWMA, it suggests a bearish trend. The VWMA takes into account both price and volume, providing a weighted average that can help identify shifts in market sentiment. Multiple SuperTrends Default value is 10 and 2 / 10 and 3 A bullish trend is identified when the price is above the SuperTrend indicator, whereas a bearish trend is observed when the price is below the SuperTrend indicator. Camarilla Pivot Points (Level 3 and 4 only) Levels 3 and 4 serve as crucial support and resistance levels, acting as the final line of defense against strong trends. These levels are expected to generate reversals, where price often changes direction. CPR ( Central Pivot Points) The Daily Central Pivot Point Indicator is a popular tool used in technical analysis. It calculates several levels based on the previous day's high, low, and closing prices. Strong Volume The user has the ability to set the average volume for Nifty and BankNifty indices to calculate strong volume. Elder Impulse System The Impulse System, developed by Alexander Elder and discussed in his book "New Trading for a Living," is a censorship trading system designed to determine whether a trade should be allowed or prohibited. Additionally, it can be used to identify when a trend is starting to weaken. The Impulse System relies on the following factors: 1. Slope of a Fast Exponential Moving Average (EMA): The fast EMA's slope reflects the price's inertia or momentum. 2. Slope of the Moving Average Convergence Divergence (MACD): The MACD's slope indicates the strength or power of the price movement. Based on these factors, the Impulse System categorizes candles or price bars into three colors: * Green Candle: When both the fast EMA and MACD are rising, indicating upward momentum. * Red Candle: When both the fast EMA and MACD are declining, suggesting downward momentum. * Blue Candle: In all other cases where the conditions for green or red candles are not met, representing a neutral or uncertain market condition. By applying the Impulse System, traders can gain insights into the market trend, its strength, and potential shifts in momentum, helping them make informed trading decisions. Happy Trading
อินดิเคเตอร์ Pine Script®
โดย DanSib
33
AggBands (v1) [qrsq]The "AggBands" indicator is a custom trading indicator designed to provide a consolidated view of the price action across multiple assets or trading pairs. It combines the price data from multiple tickers and calculates an aggregated price using user-defined weights for each ticker. The indicator starts by defining the tickers to be included in the aggregation. You can choose from predefined configurations such as "BTC PAIRS," "CRYPTO TOTAL MARKET CAP," "TOP 5 PAIRS," "TOP 5 MEMECOINS," "SPX," "DXY," or "FANG." Each configuration includes specific tickers or indices relevant to the chosen category. The indicator then fetches the closing, high, and low prices for each ticker and applies the user-defined weights to calculate the aggregated prices. The aggregated prices are normalized within a specified length to provide a consistent scale across different assets or pairs. Next, the indicator calculates the midpoint, which is the average of the highest high and lowest low of the aggregated prices over a specified aggregation period. To assess the volatility, the indicator calculates the price range and applies the Average True Range (ATR) indicator to determine the volatility value. The standard deviation is then computed using the price range and aggregation period, with an additional scaling factor applied to the volatility value. Based on the standard deviation, the indicator generates multiple bands above and below the midpoint. By default, three standard deviation bands are calculated, but the user can choose between one and five bands. The upper and lower bands are smoothed using various moving average (MA) types, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP), or Arnaud Legoux Moving Average (ALMA). The user can also adjust the length, offset, and sigma parameters for the moving averages. The indicator can optionally smooth the midpoint, upper bands, and lower bands using a separate set of moving average parameters. The indicator can be useful for traders and analysts who want to gain a consolidated view of price movements across multiple assets or trading pairs. It helps identify trends, volatility, and potential support and resistance levels based on the aggregated price and standard deviation bands. Traders can use this information to make informed decisions about trading strategies, risk management, and market analysis.
อินดิเคเตอร์ Pine Script®
โดย qrsq
Daytrading Suite: Neon TPO + FVG v6.1Here is the summary of the code and the trading guide in English. --- ### 1. Code Summary: What does the chart show? The script combines three dimensions of trading into a single chart: * **The Context (TPO / Market Profile - Yesterday):** * **Gold Zone (Center):** Yesterday's **POC (Point of Control)**. This was the "fairest price". It often acts as a magnet. * **White Dashed Lines:** The **VAH (Value Area High)** and **VAL (Value Area Low)**. Yesterday, 70% of all trading volume happened between these lines. This is the area of "Balance". * **The Structure (HTF - 1 Hour+):** * **Red/Green Boxes (Right Edge):** Automatic **Supply & Demand Zones** based on the 1-hour chart (or your setting). They indicate major resistance and support levels. * **The Timing (Entries):** * **Neon FVG Boxes (Small):** "Fair Value Gaps". These represent imbalances in price. If price revisits these, it is often your **entry signal**. * **Lines (VWAP, EMA, PDH/PDL):** Act as dynamic support and trend indicators. --- ### 2. Trading Strategy: How to use it Do not just trade every colored spot. You must combine **Location (TPO)** with **Signal (FVG)**. #### Step A: The Open (Where are we?) In the morning (or at the US Open), check where the price is relative to the **white TPO lines**. 1. **Inside the White Lines (In Balance):** * The market is undecided. Expect ranging/choppy behavior. * **Strategy:** Buy at the bottom edge (VAL), Sell at the top edge (VAH). The target is often the Gold Zone (POC) in the middle. 2. **Outside the White Lines (Imbalance):** * The market is seeking new prices. Danger of a Trend! * **Strategy:** If price breaks above VAH and tests it from above -> **Long**. If it breaks below VAL -> **Short**. #### Step B: The Setup (The High Probability Scenario) Here is the "Rejection" Setup (Long Example): 1. Price drops to the lower white line (**VAL**) or into a green **Demand Zone**. 2. It bounces (shows a wick). 3. In the process, a small **green Neon FVG** is formed. 4. **Entry:** Limit Order at the top of the Neon FVG. 5. **Target:** The Gold Zone (POC) or the upper white line (VAH). 6. **Stop Loss:** Below the recent swing low. #### Step C: Warning Signals (When NOT to trade) * **In "No Man's Land":** If the price is sitting right in the middle between Gold (POC) and White (VAH/VAL), do nothing. The risk is 50/50. Wait until price hits an edge. * **Against the Flow:** If EMA 9 and 21 are pointing steeply downwards, do not buy blindly at the VAL just because the line is there. Wait for confirmation (FVG). ### Pre-Trade Checklist: 1. **Level:** Am I at a white line (VAH/VAL) or the Gold Zone (POC)? 2. **Structure:** Do I have an HTF Demand/Supply Zone backing me up? 3. **Trigger:** Do I see a Neon FVG pointing in my direction?
อินดิเคเตอร์ Pine Script®
โดย socke1986
1
Periodic Moving AveragesIndicator plots three simple moving averages (MA) that are reset at the beginning of period, specified by a user. Red MA is based on highs Blue MA is based on close Green MA one is based on lows. Moving averages often act as support /resistance levels. They can also help to identify intraday trend. It is important to realize that none of the moving averages is universal as price behavior changes from day to day. On the chart I’ve highlighted several occurrences when one of MAs (different ones) provided support for price. Parameters: PERIOD – period for which MAs are plotted. They are reset at the beginning of each period. Period cannot be lower than chart’s timeframe LENGTH – length of moving averages. If set to 0 then parameter is ignored and MAs are calculated on all bars, available in the period VWAP? – if checked then moving averages will be calculated as volume weighted price Disclaimer This indicator should not be used as a standalone tool to make trading decisions but only in conjunction with other technical analysis methods.
อินดิเคเตอร์ Pine Script®
โดย hermes_trisme
VWOP: Volume Weighted & Oscillated PriceWhile playing around with the standard "ta.vwap" I wondered why there was no length input, so I did some research on what the underlying calculation actually is, and did my best to augment it so as to allow for a variable length based on an oscillator value. Normal VWAP = (Number of Shares Bought x Typical Price) / Total Volume In my VWOP Calculation, typical price is replaced by selected moving average type or "matype" and then multiplied by the volume. Then a total value is calculated using math.sum with a length value that changes according to a selected oscillator's value. The total is then divided by the sum of just volume using the same oscillating length value. Result is then passed through the selected"matype" once more to give the final result. Indicator designed for use as a entry/exit indicator in conjunction with more traditional moving averages and/or signal filters. Useful for taking volume + an oscillator into account along with price, instead of just the price as with a simple moving average.
อินดิเคเตอร์ Pine Script®
โดย EsIstTurnt
3
Crossover Alerts for Yesterday O/H/L/C , Today Vwap [Zero54]This is a very simple script/indicator that trigger alerts every time the script triggers the following conditions. 1) Script crosses yesterday's (previous day's) high 2) Script crosses yesterday's (previous day's) low 3) Script crosses yesterday's (previous day's) open 4) Script crosses yesterday's (previous day's) close 5) Script crosses today's vwap. I developed this to keep track of the scripts I follow and I find it useful. Hope you will find it useful too. Steps to use: 1) Open the ticker for which you want to set the alerts. 2) Add this indicator to the chart. 3) Right Click on the text and set choose "Add Alert" 4) After you have done with setting up the alert, feel free to remove the indicator from the chart. It is not necessary for the indicator to be added in the chart in order for it to work. 5) Repeat 1-4 for all the scripts for which you want to set the alerts. Be advised: During market open, if you have set alerts for multiple scripts, a tsunami of alerts may be triggered. If you like this alert indicator, please like/boost it. Feel free to re-use this code however you may wish to. Cheers!
อินดิเคเตอร์ Pine Script®
โดย zero54
2
Alternative Daily Reference Points for Intra-hour ChartsThis is a different version of my www.tradingview.com used high, lows and pivots. One problem with pivot points is the number of calculation methods. The alternative version shows historical lows, closes, highs one basic period back. ► On lower timeframes - hour or less - this will show High, Low and Close from the previous day, two days ago, the previous week and two weeks ago and VWAP. ► On 1h daily reference points need to be enabled. On higher timeframes, daily reference points will not be shown. On the daily chart, weekly levels need to be enabled to still show and will be disabled on all higher periods. ► It is configured only for normal timeframes. If you use something like 17-minutes timeframe, you will have to allow this timeframe in the code. Bear in mind, using all lines at the same time can be a little confusing and price doesn't react to every one of them. You can probably disable lows in the uptrend or scratch closes to simplify your chart. Have a great trade!
อินดิเคเตอร์ Pine Script®
โดย OrcChieftain
7
MTF VWAP Resonance [By Testeded]📈 MTF VWAP Resonance Hunter (多级别 VWAP 共振捕猎者 - 终极版) 🇬🇧 English Description 1. Design Philosophy: The Institutional Edge While typical indicators measure simple price action, VWAP (Volume Weighted Average Price) measures Value and Institutional Cost. Professional traders and algorithms anchor their decisions to time-based benchmarks: Daily, Weekly, Monthly, and Quarterly. When prices return to these levels, they are testing the average cost basis of the market participants from that period. The Logic of "Multi-Level Resonance" (MTF): A single VWAP line can be broken. However, when the Daily VWAP, Weekly Upper Band, and Quarterly Basis all overlap at the exact same price level, a "Market Consensus" is formed. This tool uses a background algorithm to detect these overlaps across 6 Timeframes (4H to Year) and visualizes them as "Resonance Boxes" instead of cluttering your chart with lines. 2. Key Features ⚓ Anchored VWAP Engine: Calculates VWAP + Standard Deviation Bands for 4H, Daily, Weekly, Monthly, Quarterly, and Yearly cycles simultaneously. ⚡ Smart Resonance Radar: Automatically detects when levels from different timeframes cluster together. 2-Line Confluence: ⚡ (Watch) 3-Line Confluence: ⚡⚡ (Strong) 4+ Line Confluence: ⚡⚡⚡ (Iron Wall) 🧘 Visual Modes (Zen / Focus): Full Mode: Shows lines, dashboard, and resonance boxes. Focus Mode: Hides lines, keeps dashboard and boxes. Zen Mode: Hides EVERYTHING except the Resonance Boxes. Pure price action. 🏢 The Quarterly Line: Specifically designed to track the Quarterly VWAP, a critical level for institutional rebalancing and earnings cycles. 🎨 Customizable UI: Adjustable table text size (Small to Huge) and display styles. 3. How to Trade Identify the Wall: Look for Red Boxes (Resistance) or Green Boxes (Support) with high star ratings (⚡⚡). Read the Dashboard: Check the label (e.g., Q VWAP + W Lower). This tells you exactly who is defending this level (e.g., "Quarterly Buyers defending cost"). Sniper Entry: Wait for price to touch the Resonance Box. These levels often trigger sharp reversals or major breakouts. 🇨🇳 中文说明 (Chinese Description) 1. 设计哲学：多级别的全局视角 布林带反映的是波动率，而 VWAP（成交量加权平均价） 反映的是**“真金白银的持仓成本”**。 机构交易者和算法通常会锚定特定的时间周期进行交易：日内、周线、月线以及季度线。 “多级别共振”的逻辑： 单一周期的 VWAP 很容易失效。但是，当 日线 VWAP、周线上轨 和 季度线成本 在同一个价格位置重叠时，意味着短线、中线和长线资金在此处达成了**“价值共识”。 本指标通过后台算法，同时监控 6个时间周期 (4H - 年线)，将这些重叠的价位转化为可视化的“共振框”**，提供一个多级别的全局视角。 2. 核心功能 ⚓ 全周期锚定 VWAP：后台实时计算 4H, 日线, 周线, 月线, 季度线, 年线 的 VWAP 及其标准差轨道。 ⚡ 智能共振雷达：自动检测不同周期的关键位重叠。 2线共振：⚡ (关注) 3线共振：⚡⚡ (强力支撑/阻力) 4线以上：⚡⚡⚡ (核弹级/铁壁共振) 🧘 显示模式 (Zen / Focus)： 全面模式：显示所有线条 + 表格 + 共振框。 专注模式：隐藏线条，保留表格 + 共振框。 极简模式 (Zen)：隐藏一切干扰，只显示共振框。像狙击手一样只看目标。 🏢 季度线增强：特别加入了 Quarterly VWAP (季度线)，这是机构季末调仓和财报周期的重要防守线。 🎨 高度客制化：支持调整表格文字大小（从“小”到“巨大”），适配各种分辨率屏幕。 3. 实战用法 寻找“墙壁”：关注图表上的 红色共振框 (阻力) 或 绿色共振框 (支撑)，尤其是带有 ⚡⚡ 标志的区域。 解读筹码：看一眼右上角的仪表盘标签（例如 Q VWAP + W Lower）。这意味着“季度级别的平均成本”与“周线级别的超卖线”重合，支撑力度极强。 警报交易：开启警报功能。不需要盯着屏幕，当价格撞上共振框时，指标会自动通知你。
อินดิเคเตอร์ Pine Script®
โดย AAAAAA2020
Kalman VWAP Filter [BackQuant]Kalman VWAP Filter A precision-engineered price estimator that fuses Kalman filtering with the Volume-Weighted Average Price (VWAP) to create a smooth, adaptive representation of fair value. This hybrid model intelligently balances responsiveness and stability, tracking trend shifts with minimal noise while maintaining a statistically grounded link to volume distribution. If you would like to see my original Kalman Filter, please find it here: Concept overview The Kalman VWAP Filter is built on two core ideas from quantitative finance and control theory: Kalman filtering — a recursive Bayesian estimator used to infer the true underlying state of a noisy system (in this case, fair price). VWAP anchoring — a dynamic reference that weights price by traded volume, representing where the majority of transactions have occurred. By merging these concepts, the filter produces a line that behaves like a "smart moving average": smooth when noise is high, fast when markets trend, and self-adjusting based on both market structure and user-defined noise parameters. How it works Measurement blend : Combines the chosen Price Source (e.g., close or hlc3) with either a Session VWAP or a Rolling VWAP baseline. The VWAP Weight input controls how much the filter trusts traded volume versus price movement. Kalman recursion : Each bar updates an internal "state estimate" using the Kalman gain, which determines how much to trust new observations vs. the prior state. Noise parameters : Process Noise controls agility — higher values make the filter more responsive but also more volatile. Measurement Noise controls smoothness — higher values make it steadier but slower to adapt. Filter order (N) : Defines how many parallel state estimates are used. Larger orders yield smoother output by layering multiple one-dimensional Kalman passes. Final output : A refined price trajectory that captures VWAP-adjusted fair value while dynamically adjusting to real-time volatility and order flow. Why this matters Most smoothing techniques (EMA, SMA, Hull) trade off lag for smoothness. Kalman filtering, however, adaptively rebalances that tradeoff each bar using probabilistic weighting, allowing it to follow market state changes more efficiently. Anchoring it to VWAP integrates microstructure context — capturing where liquidity truly lies rather than only where price moves. Use cases Trend tracking : Color-coded candle painting highlights shifts in slope direction, revealing early trend transitions. Fair value mapping : The line represents a continuously updated equilibrium price between raw price action and VWAP flow. Adaptive moving average replacement : Outperforms static MAs in variable volatility regimes by self-adjusting smoothness. Execution & reversion logic : When price diverges from the Kalman VWAP, it may indicate short-term imbalance or overextension relative to volume-adjusted fair value. Cross-signal framework : Use with standard VWAP or other filters to identify convergence or divergence between liquidity-weighted and state-estimated prices. Parameter guidance Process Noise : 0.01–0.05 for swing traders, 0.1–0.2 for intraday scalping. Measurement Noise : 2–5 for normal use, 8+ for very smooth tracking. VWAP Weight : 0.2–0.4 balances both price and VWAP influence; 1.0 locks output directly to VWAP dynamics. Filter Order (N) : 3–5 for reactive short-term filters; 8–10 for smoother institutional-style baselines. Interpretation When price > Kalman VWAP and slope is positive → bullish pressure; buyers dominate above fair value. When price < Kalman VWAP and slope is negative → bearish pressure; sellers dominate below fair value. Convergence of price and Kalman VWAP often signals equilibrium; strong divergence suggests imbalance. Crosses between Kalman VWAP and the base VWAP can hint at shifts in short-term vs. long-term liquidity control. Summary The Kalman VWAP Filter blends statistical estimation with market microstructure awareness, offering a refined alternative to static smoothing indicators. It adapts in real time to volatility and order flow, helping traders visualize balance, transition, and momentum through a lens of probabilistic fair value rather than simple price averaging.
อินดิเคเตอร์ Pine Script®
โดย BackQuant
6
Technical Summary VWAP | RSI | VolatilityTechnical Summary VWAP | RSI | Volatility The Quantum Trading Matrix is a multi-dimensional market-analysis dashboard designed as an educational and idea-generation tool to help traders read price structure, participation, momentum and volatility in one compact view. It is not an automated execution system; rather, it aggregates lightweight “quantum” signals — VWAP position, momentum oscillator behaviour, multi-EMA trend scoring, volume flow and institutional activity heuristics, market microstructure pivots and volatility measures — and synthesizes them into a single, transparent score and signal recommendation. The primary goal is to make explicit why a given market looks favourable or unfavourable by showing the individual ingredients and how they combine, enabling traders to learn, test and form rules based on observable market mechanics. Each module of the matrix answers a distinct market question. VWAP and its percentage distance indicate whether the current price is trading above or below the intraday volume-weighted average — a proxy for intraday institutional control and value. The quantum momentum oscillator (fast and slow EMA difference scaled to percent) captures short-to-intermediate momentum shifts, providing a quickly responsive view of directional pressure. Multi-EMA trend scoring (8/21/50) produces a simple, transparent trend score by counting conditions such as price above EMAs and cross-EMAs ordering; this score is used to categorize market trend into descriptive buckets (e.g., STRONG UP, WEAK UP, NEUTRAL, DOWN). Volume analysis compares current volume to a recent moving average and computes a Z-score to detect spikes and unusual participation; additional buy/sell pressure heuristics (buyingPressure, sellingPressure, flowRatio) estimate whether upside or downside participation dominates the bar. Institutional activity is approximated by flagging large orders relative to volume baseline (e.g., volume > 2.5× MA) and estimating a dark pool proxy; this is a heuristic to highlight bars that likely had large players involved. The dashboard also performs market-structure detection with small pivot windows to identify recent local support/resistance areas and computes price position relative to the daily high/low (dailyMid, pricePosition). Volatility is measured via ATR divided by price and bucketed into LOW/NORMAL/HIGH/EXTREME categories to help you adapt stop sizing and expectational horizons. Finally, all these pieces feed an interpretable scoring function that rewards alignment: VWAP above, strong flow ratio, bullish trend score, bullish momentum, and favorable RSI zone add to the overall score which is presented as a 0–100 metric and a colored emoji indicator for at-a-glance assessment. The mashup is purposeful: each indicator covers a failure mode of the other. For example, momentum readings can be misleading during volatility spikes; VWAP informs whether institutions are on the bid or offer; volume Z-score detects abnormal participation that can validate a breakout; multi-EMA score mitigates single-EMA whipsaws by requiring a combination of price/EMA conditions. Combining these signals increases information content while keeping each component explainable — a key compliance requirement. The script intentionally emphasizes transparency: when it shows a BUY/SELL/HOLD recommendation, the dashboard shows the underlying sub-components so a trader can see whether VWAP, momentum, volume, trend or structure primarily drove the score. For practical use, adopt a clear workflow: (1) check the matrix score and read the component tiles (VWAP position, momentum, trend and volume) to understand the drivers; (2) confirm market-structure support/resistance and pricePosition relative to the daily range; (3) require at least two corroborating components (for example, VWAP ABOVE + Momentum BULLISH or Volume spike + Trend STRONG UP) before considering entries; (4) use ATR-based stops or daily pivot distance for stop placement and size positions such that the trade risks a small, pre-defined percent of capital; (5) for intraday scalps shorten holding time and tighten stops, for swing trades increase lookback lengths and require multi-timeframe (higher TF) agreement. Treat the matrix as an idea filter and replay lab: when an alert triggers, replay the bars and observe which components anticipated the move and which lagged. Parameter tuning matters. Shortening the momentum length makes the oscillator more sensitive (useful for scalping), while lengthening it reduces noise for swing contexts. Volume profile bars and MA length should match the instrument’s liquidity — increase the MA for low-liquidity stocks to reduce false institutional flags. The trend multiplier and signal sensitivity parameters let you calibrate how aggressively the matrix counts micro evidence into the score. Always backtest parameter sets across multiple periods and instruments; run walk-forward tests and keep a simple out-of-sample validation window to reduce overfitting risk. Limitations and failure modes are explicit: institutional flags and dark-pool estimates are heuristics and cannot substitute for true tape or broker-level order flow; volume split by price range is an approximation and will not perfectly reflect signed volume; pivot detection with small windows may miss larger structural swings; VWAP is typically intraday-centric and less meaningful across multi-day swing contexts; the score is additive and may not capture non-linear relationships between features in extreme market regimes (e.g., flash crashes, circuit breaker events, or overnight gaps). The matrix is also susceptible to false signals during major news releases when price and volume behavior dislocate from typical patterns. Users should explicitly test behavior around earnings, macro data and low-liquidity periods. To learn with the matrix, perform these experiments: (A) collect all BUY/SELL alerts over a 6-month period and measure median outcome at 5, 20 and 60 bars; (B) require additional gating conditions (e.g., only accept BUY when flowRatio>60 and trendScore≥4) and compare expectancy; (C) vary the institutional threshold (2×, 2.5×, 3× volumeMA) to see how many true positive spikes remain; (D) perform multi-instrument tests to ensure parameters are not tuned to a single ticker. Document every test and prefer robust, slightly lower returns with clearer logic rather than tuned “optimal” results that fail out of sample. Originality statement: This script’s originality lies in the curated combination of intraday value (VWAP), multi-EMA trend scoring, momentum percent oscillator, volume Z-score plus buy/sell flow heuristics and a compact, interpretable scoring system. The script is not a simple indicator mashup; it is a didactic ensemble specifically designed to make internal rationale visible so traders can learn how each market characteristic contributes to actionable probability. The tool’s novelty is its emphasis on interpretability — showing the exact contributing signals behind a composite score — enabling reproducible testing and educational value. Finally, for TradingView publication, include a clear description listing the modules, a short non-technical summary of how they interact, the tunable inputs, limitations and a risk disclaimer. Remove any promotional content or external contact links. If you used trademark symbols, either provide registration details or remove them. This transparent documentation satisfies TradingView’s requirement that mashups justify their composition and teach users how to use them. Quantum Trading Matrix — multi-factor intraday dashboard (educational use only). Purpose: Combines intraday VWAP position, a fast/slow EMA momentum percent oscillator, multi-EMA trend scoring (8/21/50), volume Z-score and buy/sell flow heuristics, pivot-based microstructure detection, and ATR-based volatility buckets to produce a transparent, componentized market score and trade-idea indicator. The mashup is intentional: VWAP identifies intraday value, momentum detects short bursts, EMAs provide structural trend bias, and volume/flow confirm participation. Signals require alignment of at least two components (for example, VWAP ABOVE + Momentum BULLISH + positive flow) for higher confidence. Inputs: momentum period, volume MA/profile length, EMA configuration (8/21/50), trend multiplier, signal sensitivity, color and display options. Use shorter momentum lengths for scalps and longer for swing analysis. Increase volume MA for thinly traded instruments. Limitations: Institutional/dark-pool estimates and flow heuristics are approximations, not actual exchange tape. VWAP is intraday-focused. Expect false signals during major news or low-liquidity sessions. Backtest and paper-trade before applying real capital. Risk Disclaimer: For education and analysis only. Not financial advice. Use proper risk management. The author is not responsible for trading losses. ________________________________________ Risk & Misuse Disclaimer This indicator is provided for education, analysis and idea generation only. It is not investment or financial advice and does not guarantee profits. Institutional activity flags, dark-pool estimates and flow heuristics are approximations and should not be treated as exchange tape. Backtest thoroughly and use demo/paper accounts before trading real capital. Always apply appropriate position sizing and stop-loss rules. The author is not responsible for any trading losses resulting from the use or misuse of this tool. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
อินดิเคเตอร์ Pine Script®
โดย aiTrendview-Charting-System
1
NY Anchored VWAP and Auto SMANY Anchored VWAP and Auto SMA This script is a versatile trading indicator for the TradingView platform that combines two powerful components: a New York-anchored Volume-Weighted Average Price (VWAP) and a dynamic Simple Moving Average (SMA). Designed for traders who utilize VWAP for intraday trend analysis, this tool provides a clear visual representation of average price and volatility-adjusted moving averages, generating automated alerts for key crossover signals. Indicator Components 1. NY Anchored VWAP The VWAP is a crucial tool that represents the average price of a security adjusted for volume. This version is "anchored" to the start of the New York trading session, resetting at the beginning of each new session. This provides a clean, session-specific anchor point to gauge market sentiment and trend. The VWAP line changes color to reflect its slope: Green: When the VWAP is trending upwards, indicating a bullish bias. Red: When the VWAP is trending downwards, indicating a bearish bias. 2. Auto SMA The Auto SMA is a moving average with a unique twist: its lookback period is not fixed. Instead, it dynamically adjusts based on market volatility. The script measures volatility using the Average True Range (ATR) and a Z-Score calculation. When volatility is expanding, the SMA's length shortens, making it more sensitive to recent price changes. When volatility is contracting, the SMA's length lengthens, smoothing out the price action to filter out noise. This adaptive approach allows the SMA to react appropriately to different market conditions. Suggested Trading Strategy This indicator is particularly effective when used on a one-minute chart for identifying high-probability trade entries. The core of the strategy is to trade the crossover between the VWAP and the Auto SMA, with confirmation from a candle close. The strategy works best when the entry signal aligns with the overall bias of the higher timeframe market structure. For example, if the daily or 4-hour chart is in an uptrend, you would look for bullish signals on the one-minute chart. Bullish Entry Signal: A potential entry is signaled when the VWAP crosses above the Auto SMA, and is confirmed when the one-minute candle closes above both the VWAP and the SMA. This indicates a potential continuation of the bullish momentum. Bearish Entry Signal: A potential entry is signaled when the VWAP crosses below the Auto SMA, and is confirmed when the one-minute candle closes below both the VWAP and the SMA. This indicates a potential continuation of the bearish momentum. The built-in alerts for these crossovers allow you to receive notifications without having to constantly monitor the charts, ensuring you don't miss a potential setup.
อินดิเคเตอร์ Pine Script®
โดย immediatePerso44773
RVMM IndicatorRVMM Indicator RVMM Indicator combines four indicators: RSI, VWAP, MFI, and Momentum to provide comprehensive technical analysis. This indicator helps traders identify potential market conditions based on the interaction of these indicators. Components of the RVMM Indicator 1. RSI (Relative Strength Index) RSI is a momentum indicator that measures the speed and change of price movements. RSI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market. Buy Level: Set at 30. When RSI falls below 30, the market is considered oversold, which may suggest a potential upward trend reversal. Sell Level: Set at 70. When RSI rises above 70, the market is considered overbought, which may suggest a potential downward trend reversal. 2. VWAP (Volume Weighted Average Price) VWAP is an indicator that combines price and volume to calculate the average price weighted by volume. VWAP is used to identify support and resistance areas and assess the strength of price movements. Interpretation: If the price is above the VWAP line, the market is likely in an uptrend. If the price is below the VWAP line, the market is in a downtrend. 3. MFI (Money Flow Index) MFI is a momentum indicator that considers both price and volume. MFI oscillates between 0 and 100 and is used to identify overbought and oversold conditions in the market. Oversold Level: Set at 20. When MFI falls below 20, the market is considered oversold. Overbought Level: Set at 80. When MFI rises above 80, the market is considered overbought. 4. Momentum Momentum is an indicator that measures the speed of price changes. This indicator is used to identify the strength of a trend. Interpretation: High momentum values indicate a strong uptrend, while low momentum values indicate a strong downtrend. How to Use the RVMM Indicator Interpreting Market Conditions: RSI : Check RSI values below 30 to identify oversold conditions, and above 70 to identify overbought conditions. VWAP : Observe whether the price is above or below the VWAP line to determine if the market is in an uptrend or downtrend. MFI : Check if MFI is below 20 to identify oversold conditions, and above 80 to identify overbought conditions. Momentum : Analyze momentum values to gauge the strength of the current trend. Confirming Market Conditions: Use VWAP, MFI, and Momentum to confirm market conditions identified by RSI. If the price is above the VWAP line, and MFI and Momentum indicate the strength of the uptrend, the market may be in a bullish phase. If the price is below the VWAP line, and MFI and Momentum indicate the strength of the downtrend, the market may be in a bearish phase. Risk Management: Set stop-loss and take-profit levels based on technical analysis and your trading preferences. Monitor the market and adjust stop-loss and take-profit levels as market conditions change. Example of Application Here is an example of how to use the RVMM Indicator in practice: Bullish Phase: When the price is above the VWAP line, RSI is below 30, and MFI and Momentum indicate the strength of the uptrend, the market is likely in a bullish phase. Bearish Phase: When the price is below the VWAP line, RSI is above 70, and MFI and Momentum indicate the strength of the downtrend, the market is likely in a bearish phase.
อินดิเคเตอร์ Pine Script®
โดย cryptosada