NeuroTrendNeuroTrend is an advanced, self-adjusting trend analysis system that continuously adapts to changing market conditions using volatility-aware smoothing, momentum weighting, and intelligent trend classification. It provides real-time trend detection, confidence scoring, early reversal warnings, and slope projection, all delivered through a coaching dashboard and structured rule-based commentary system.
At its core, NeuroTrend uses two EMAs whose smoothing lengths change automatically based on current volatility, measured by the ATR relative to price, and momentum bias, measured by RSI displacement from the neutral level. These adaptive EMAs create a flexible baseline that adjusts to the pace of the market. From these EMAs, the system calculates angular slope and derives a slope power score, which reflects directional momentum weighted by volatility.
NeuroTrend classifies each bar into one of five market phases: Impulse, Cooling, Reversal Risk, Stall, or Neutral. This classification is based on slope strength, slope variability, and RSI behavior. Each phase offers specific context for whether to enter, continue, or avoid a position.
The indicator uses what is referred to as a neural memory engine, which is inspired by the idea of memory but is not a neural network or machine learning model. Instead, it is a statistical recalibration system that adjusts thresholds using recent ATR conditions and slope standard deviation. This allows the indicator to remain aligned with the current market environment without the need for manual tuning.
Although NeuroTrend is fully adaptive, it includes inputs for the base fast and slow EMAs. These inputs define the central anchor points around which the adaptive logic operates. This gives the trader the ability to control the default behavior of the indicator while still benefiting from real-time responsiveness to volatility and momentum.
To assess the strength of a trend, NeuroTrend computes a confidence score based on four elements: DMI trend strength, directional bias from DI+ and DI–, slope normalization, and volatility efficiency measured by ATR in relation to EMA distance. This score is used to inform alerts, commentary, and dashboard visualization.
The indicator also includes a slope projection engine that estimates near-term direction based on slope change and acceleration. This projection is scaled and clamped using a dynamic volatility factor to prevent unrealistic or unstable values.
Reversal and stall detection are built in. Reversal detection is based on slope collapsing, sign flipping, and RSI weakness. Stall detection is triggered when slope magnitude is low, RSI is flat, and ATR is compressed. These filters help prevent entries in low-quality or high-risk environments.
The system also includes AI-style commentary. This feature is not powered by machine learning or natural language processing. It is rule-based, using prioritized conditions to generate clear statements that reflect the current market state. Messages such as "Strong trend forming" or "Reversal risk rising" are created by predefined logic that adapts to the market.
A visual dashboard is provided on the chart. It displays the current phase, trend direction, slope score, confidence level, reversal status, stall condition, and projected slope angle. This helps traders interpret market behavior at a glance without scanning multiple indicators.
Alerts are triggered only when specific conditions are met: trend strength must be in the impulse phase, confidence must be high, and there must be no active reversal or stall conditions. This ensures alerts are reserved for high-quality setups with strong directional alignment.
Disclaimer:
This script is intended for educational and informational use only. It does not constitute financial advice. The author accepts no responsibility for any trading or investment decisions made using this tool. Always do your own research and consult a licensed financial advisor before making financial decisions.
ความผันผวน
Volumetric Entropy IndexVolumetric Entropy Index (VEI)
A volume-based drift analyzer that captures directional pressure, trend agreement, and entropy structure using smoothed volume flows.
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🧠 What It Does:
• Volume Drift EMAs : Shows buy/sell pressure momentum with adaptive smoothing.
• Dynamic Bands : Bollinger-style volatility wrappers react to expanding/contracting drift.
• Baseline Envelope : Clean structural white rails for mean-reversion zones or trend momentum.
• Background Shading : Highlights when both sides (up & down drift) are in agreement — green for bullish, red for bearish.
• Alerts Included : Drift alignment, crossover events, net drift shifts, and strength spikes.
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🔍 What Makes It Different:
• Most volume indicators rely on bars, oscillators, or OBV-style accumulation — this doesn’t.
• It compares directional EMAs of raw volume to isolate real-time bias and acceleration.
• It visualizes the twisting tension between volume forces — not just price reaction.
• Designed to show when volatility is building inside the volume mechanics before price follows.
• Modular — every element is optional, so you can run it lean or fully loaded.
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📊 How to Use It:
• Drift EMAs : Watch for one side consistently dominating — sharp spikes often precede breakouts.
• Bands : When they tighten and start expanding, it often signals directional momentum forming.
• Envelope Lines : Use as high-probability reversal or continuation zones. Bands crossing envelopes = potential thrust.
• Background Color : Green/red backgrounds confirm volume agreement. Can be used as a filter for other signals.
• Net Drift : Optional smoothed oscillator showing the difference between bullish and bearish volume pressure. Crosses above or below zero signal directional bias shifts.
• Drift Strength : Measures pressure buildup — spikes often correlate with large moves.
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⚙️ Full Customization:
• Turn every layer on/off independently
• Modify all colors, transparencies, and line widths
• Adjust band width multiplier and envelope offset (%)
• Toggle bonus plots like drift strength and net baseline
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🧪 Experimental Tools:
• Smoothed Net Drift trace
• Drift Strength signal
• Envelope lines and dynamic entropy bands with adjustable math
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Built for signal refinement. Made to expose directional imbalance before the herd sees it.
Created by @Sherlock_Macgyver
Daily Price RangeThe indicator is designed to analyze an instrument’s volatility based on daily extremes (High-Low) and to compare the current day’s range with the typical (median) range over a selected period. This helps traders assess how much of the "usual" daily movement has already occurred and how much may still be possible during the trading day.
ATR Volatilità giua64🇬🇧 FULL GUIDE – ATR Punti++++ (per la lingua italiana scorri dopo la spiegazione in inglese)
📌 What is this script?
ATR Volatilità is a visual dashboard that analyzes market volatility, using:
ATR and its moving average
ATR as % of price
Range in points (current candle & extended timeframe)
External volatility index (e.g., VIX)
Directional arrows and color-coded volatility levels (🔴🟡🔵)
Ideal for traders who want to understand volatility at a glance, across any asset.
🧭 Table – Column by Column
Column Meaning
🔼 / 🔽 / → ATR Direction: shows whether volatility is rising, falling, or stable
🔴 / 🟡 / 🔵 Volatility Level: calculated by comparing ATR with its moving average
ATR: Current ATR value based on the selected length (e.g. 14 bars)
MA: ATR Moving Average, baseline to classify volatility levels
ATR %: ATR as a percentage of current price = (ATR / price) × 100
VIX: Last daily close of external volatility index (e.g., VIX or others)
Punti Curr: Range of current candle, converted into standardized points
Punti D: Daily (or chosen TF) range, shows broader price movement
⚙️ Inputs – Explained One by One
Input Setting What It Does
ATR Length Number of periods for ATR calculation
ATR Smoothing Method: RMA, SMA, EMA, or WMA
ATR MA Length Period for the ATR moving average
Show ATR Line on Chart Enables optional ATR line plot
Asset Class Preset Auto-configures multiplier & thresholds:
Manual, Forex, Indices, Gold
Points Multiplier Converts price movement into "points" (e.g. 10 for Gold, 10000 for EUR/USD)
Volatility Thresholds Define when volatility is LOW (< MA×0.8) or HIGH (> MA×1.0)
Extended Timeframe Used for the Punti D column (D, W, 4H, etc.)
External Volatility Index (VIX) Custom symbol for fear index (e.g. “VIX”, “CBOE:VIX”, “VSTOXX”)
VIX Low / High Thresholds Color background green/red based on these thresholds
Table Position Where the table appears on the chart
🔍 How to Use in Practice
ATR rising + 🔴 + wide Punti Curr → Volatility breakout likely → Good for momentum trades
ATR falling + 🔵 + narrow Punti Curr → Calm or ranging market → Good for mean reversion
Compare Punti Curr vs Punti D:
If current range is much smaller than daily → breakout could be coming
If current range is larger than daily → volatility spike in play
Watch the VIX:
High VIX with low ATR may mean tension is rising before price reacts
🇮🇹 GUIDA COMPLETA – ATR Punti++++
📌 Cos’è questo script?
ATR Volatilità è una dashboard visiva che analizza la volatilità del mercato tramite:
ATR e media mobile
ATR in % rispetto al prezzo
Range in punti (candela attuale + timeframe esteso)
Indice esterno di volatilità (es. VIX)
Frecce direzionali e livelli colorati di volatilità (🔴🟡🔵)
Perfetto per trader che vogliono capire subito quanto è "nervoso" il mercato.
🧭 Tabella – Spiegazione Colonna per Colonna
Colonna Significato
🔼 / 🔽 / → Direzione ATR: indica se la volatilità sta salendo, scendendo o è stabile
🔴 / 🟡 / 🔵 Livello Volatilità: calcolato confrontando l’ATR con la sua media mobile
ATR: Valore attuale dell’ATR basato sulla lunghezza impostata (es. 14 barre)
MA: Media mobile dell’ATR, usata come riferimento per definire le soglie
ATR %: L’ATR in percentuale rispetto al prezzo = (ATR / prezzo) × 100
VIX: Ultima chiusura giornaliera dell’indice di volatilità esterno
Punti Curr: Range della candela attuale, convertito in punti standardizzati
Punti D: Range su timeframe esteso (es. giornaliero), utile per confronti ampi
⚙️ Impostazioni – Spiegazione Completa
Impostazione Cosa fa
Periodo ATR Numero di barre usate per calcolare l’ATR
Smoothing ATR Metodo di calcolo: RMA, SMA, EMA o WMA
Lunghezza Media ATR Periodi usati per la media dell’ATR
Mostra Linea ATR sul Grafico Attiva/disattiva la linea ATR sul grafico
Preset Classe Asset Imposta automaticamente moltiplicatore e soglie:
Manuale, Forex, Indici, Oro
Moltiplicatore Punti Converte la differenza prezzo in “punti” (es. 10 per Oro, 10000 per Forex)
Soglie Volatilità Manuali Soglie per classificare la volatilità come BASSA / MEDIA / ALTA
Timeframe Esteso Usato per il calcolo di Punti D (es. 1D, 4H, 1W...)
Simbolo Indice VIX Inserisci simbolo dell’indice (es. VIX, CBOE:VIX, VSTOXX)
Soglie VIX Colora lo sfondo VIX in rosso, verde o bianco
Posizione Tabella Dove posizionare la dashboard sul grafico
🎯 Come Usarlo nel Trading
ATR in salita + 🔴 + Punti Curr larghi → Volatilità in crescita → Buono per breakout o trend
ATR in calo + 🔵 + Punti Curr bassi → Mercato calmo → Meglio range o reversal
Confronta Punti Curr con Punti D:
Se Punti Curr ≪ Punti D → probabile esplosione di volatilità
Se Punti Curr ≫ Punti D → siamo già in fase esplosiva
Controlla il VIX:
Se il VIX è alto ma l’ATR è ancora basso → attenzione: possibile shock imminente
✅ Note Finali
Il moltiplicatore adatta il calcolo dei punti al tipo di asset (Gold = 10, EURUSD = 10000)
Il confronto tra candela attuale e range daily è visivamente immediato
Nessun segnale, nessun rumore: solo dati concreti e ben visualizzati
SuperTrade ST1 StrategyOverview
The SuperTrade ST1 Strategy is a long-only trend-following strategy that combines a Supertrend indicator with a 200-period EMA filter to isolate high-probability bullish trade setups. It is designed to operate in trending markets, using volatility-based exits with a strict 1:4 Risk-to-Reward (R:R) ratio, meaning that each trade targets a profit 4× the size of its predefined risk.
This strategy is ideal for traders looking to align with medium- to long-term trends, while maintaining disciplined risk control and minimal trade frequency.
How It Works
This strategy leverages three key components:
Supertrend Indicator
A trend-following indicator based on Average True Range (ATR).
Identifies bullish/bearish trend direction by plotting a trailing stop line that moves with price volatility.
200-period Exponential Moving Average (EMA) Filter
Trades are only taken when the price is above the EMA, ensuring participation only during confirmed uptrends.
Helps filter out counter-trend entries during market pullbacks or ranges.
ATR-Based Stop Loss and Take Profit
Each trade uses the ATR to calculate volatility-adjusted exit levels.
Stop Loss: 1× ATR below entry.
Take Profit: 4× ATR above entry (1:4 R:R).
This asymmetry ensures that even with a lower win rate, the strategy can remain profitable.
Entry Conditions
A long trade is triggered when:
Supertrend flips from bearish to bullish (trend reversal).
Price closes above the Supertrend line.
Price is above the 200 EMA (bullish market bias).
Exit Logic
Once a long position is entered:
Stop loss is set 1 ATR below entry.
Take profit is set 4 ATR above entry.
The strategy automatically exits the position on either target.
Backtest Settings
This strategy is configured for realistic backtesting, including:
$10,000 account size
2% equity risk per trade
0.1% commission
1 tick slippage
These settings aim to simulate real-world conditions and avoid overly optimistic results.
How to Use
Apply the script to any timeframe, though higher timeframes (1H, 4H, Daily) often yield more reliable signals.
Works best in clearly trending markets (especially in crypto, stocks, indices).
Can be paired with alerts for live trading or analysis.
Important Notes
This version is long-only by design. No short positions are executed.
Ideal for swing traders or position traders seeking asymmetric returns.
Users can modify the ATR period, Supertrend factor, or EMA filter length based on asset behavior.
Price Lag Factor (PLF)📊 Price Lag Factor (PLF) for Crypto Traders: A Comprehensive Breakdown
The Price Lag Factor (PLF) is a momentum indicator designed to identify overextended price movements and gauge market momentum. It is particularly optimized for the crypto market, which is known for its high volatility and rapid trend shifts.
🔎 What is the Price Lag Factor (PLF)?
The PLF measures the difference between long-term and short-term price momentum and scales it dynamically based on recent volatility. This helps traders identify when the market might be overbought or oversold while filtering out noise.
The formula used in the PLF calculation is:
PLF = (Z-Long - Z-Short) / Stdev(PLF)
Where:
Z-long: Z-score of the long-term moving average (50-period by default).
Z-short: Z-score of the short-term moving average (14-period by default).
Stdev(PLF): Standard deviation of the PLF over a longer period (50-period by default).
🧠 How to Interpret the PLF:
1. Trend Direction:
Positive PLF (Green Bars): Indicates bullish momentum. The long-term trend is up, and short-term movements are confirming it.
Negative PLF (Red Bars): Indicates bearish momentum. The long-term trend is down, and short-term movements are consistent with it.
2. Momentum Strength:
PLF near Zero (±0.5): Low momentum; trend direction is not strong.
PLF between ±1 and ±2: Moderate momentum, indicating that the market is moving with strength but not in an overextended state.
PLF beyond ±2: High momentum (overbought/oversold), indicating potential trend exhaustion and a possible reversal.
📈 Trading Strategies:
1. Trend Following:
Bullish Signal:
Enter long when PLF crosses above 0 and remains green.
Confirm with other indicators like RSI or MACD to reduce false signals.
Bearish Signal:
Enter short when PLF crosses below 0 and remains red.
Use trend confirmation (e.g., moving average crossover) for better accuracy.
2. Reversal Trading:
Overbought Signal:
If PLF rises above +2, look for signs of bearish divergence or a reversal pattern to consider a short entry.
Oversold Signal:
If PLF falls below -2, watch for bullish divergence or a support bounce to consider a long entry.
3. Momentum Divergence:
Bullish Divergence:
Price makes a lower low while PLF makes a higher low.
Indicates weakening bearish momentum and a potential bullish reversal.
Bearish Divergence:
Price makes a higher high while PLF makes a lower high.
Signals weakening bullish momentum and a potential bearish reversal.
💡 Best Practices:
Combine with Volume:
Volume spikes during high PLF readings can confirm trend continuation.
Low volume during PLF extremes may hint at false breakouts.
Watch for Extreme Levels:
PLF beyond ±2 suggests overextended price action. Use caution when entering new positions.
Confirm with Other Indicators:
Use with Relative Strength Index (RSI) or Bollinger Bands to get a better sense of overbought/oversold conditions.
Overlay with a moving average to gauge trend consistency.
🚀 Why the PLF Works for Crypto:
Crypto markets are highly volatile and prone to rapid trend changes. The PLF's adaptive scaling ensures it remains relevant regardless of market conditions.
It highlights momentum shifts more accurately than static indicators because it accounts for changing volatility in its calculation.
🚨 Disclaimer for Traders Using the Price Lag Factor (PLF) Indicator:
The Price Lag Factor (PLF) indicator is designed as a technical analysis tool to gauge momentum and identify potential overbought or oversold conditions. However, it should not be relied upon as a sole decision-making factor for trading or investing.
Important Points to Consider:
Market Risk: Trading cryptocurrencies and other financial assets involves significant risk. The PLF may not accurately predict future price movements, especially during unexpected market events.
Indicator Limitations: No technical indicator, including the PLF, is infallible. False signals can occur, particularly in low-volume or highly volatile conditions.
Supplementary Analysis: Always combine PLF insights with other technical indicators, fundamental analysis, and risk management strategies to make informed decisions.
Personal Judgment: Traders should use their own discretion when interpreting PLF signals and never trade based solely on this indicator.
No Guarantees: The PLF is designed for educational and informational purposes only. Past performance is not indicative of future results.
Always perform thorough research and consider consulting with a professional financial advisor before making any trading decisions.
MACD, WT CROSS & HVPThis indicator combines three powerful tools for market analysis:
1️⃣ MACD (Moving Average Convergence Divergence)
The main histogram shows the MACD, which measures the difference between two exponential moving averages.
Red (negative) bars indicate selling pressure.
Green/blue (positive) bars indicate buying pressure.
This indicator is very useful for detecting trend changes and momentum strength.
2️⃣ WT CROSS Signal Dots
The small green and red dots over the histogram show key cross signals detected by the WT CROSS tool.
Green dots indicate a potential bullish cross (buy signal).
Red dots indicate a potential bearish cross (sell signal).
This helps quickly spot moments when the market may be about to reverse direction.
3️⃣ Historical Volatility Percentile (HVP)
The purple vertical flashes in the background highlight moments when historical volatility is extremely low.
When the HVP flashes, it signals a period of compressed volatility, often followed by a strong price move.
It acts as a trader alert, as low volatility phases often precede breakouts or sharp movements.
5-Min Candle Ranges (Last 1000)Average candle size for 1000 candles. This indicators looks at the volatility of candles and averages the size of the candles.
Live ICT Manipulation Candle [London Session, DST]📌 Live ICT Manipulation Candle
🔍 What This Script Does:
This indicator highlights the most volatile ( manipulative ) candle during the London session, based on range and volume, in real-time. It is designed specifically for intraday traders who follow ICT ( Inner Circle Trader ) concepts.
Key Features:
Tracks and highlights the manipulation candle between 3:00 AM to 5:00 AM NY time, adjusted for daylight savings (DST).
Displays a colored box around the manipulation candle and optionally shows a "Manipulation" label ( see chart below ).
Works on 1m, 5m, or 15m charts only — ensures high accuracy and alignment with ICT intraday concepts.
Designed for clarity during live session development.
⚠️ Disclaimer & Transparency:
This script was previously removed by TradingView due to being published with protected ( closed ) source code. I apologize for that oversight.
If you're studying ICT concepts or trading the London session volatility, this script can help you visually anchor the key manipulation point each day!
The indicator doesn't put the circles on. I put them to show the key manipulation areas per London session.
Happy trading and stay sharp!
@TJT_Pro
ADR & ATR OverlayADR & ATR Overlay
This indicator will display the following as an overlay on your chart:
ADR
% of ADR
ADR % of Price
ATR
% of ATR
ATR % of Price
Description:
ADR : Average Day Range
% of ADR : Percentage that the current price move has covered its average.
ADR % of Price : The percentage move implied by the average range.
ATR : Average True Range
% of ATR : Percentage that the current price move has covered its average.
ATR % of Price : The percentage move implied by the average true range.
Options:
Time Frame
Length
Smoothing
Enable or Disable each value
Text Color
Background Color
How to use this indicator:
The ADR and ATR can be used to provide information about average price moves to help set targets, stop losses, entries and exits based on the potential average moves.
Example: If the "% of ADR" is reading 100%, then 100% of the asset's average price range has been covered, suggesting that an additional move beyond the range has a lower probability.
Example: "ADR % of Price" provides potential price movement in percentage which can be used to asses R/R for asset.
Example: ADR (D) reading is 100% at market close but ATR (D) is at 70% at close. This suggests that there is a potential move of 30% in Pre/Post market as suggested by averages.
Notes:
These indicators are available as oscillators to place under your chart through trading view but this indicator will place them on the chart in numerical only format.
Please feel free to modify this script if you like but please acknowledge me, I am only a hobby coder so this takes some time & effort.
ProfitTrailer ATR% Low volatility zonePT ATR%” calculates the Average True Range as a percentage of price on any timeframe (using EMA, MA or HMA smoothing) and highlights low-volatility (“flat”) periods when ATR% falls below your chosen threshold. Use it to filter out chop before entering breakouts, tailor the lookback and offset to your needs, and optionally plot the ATR% line alongside semi-transparent green shading for flat markets.
Percentage SDThis TradingView indicator, called "Percentage SD," measures how much the price of an asset is fluctuating (its volatility) and shows this as a percentage.
You can choose which price to track (like the closing price) and the period over which to measure this volatility.
The indicator then draws a yellow line in a separate panel below your main chart. When this line is higher, it means the price is more volatile relative to its current level. A lower line suggests less volatility. This can help you see when price movements are becoming more or less active.
Tokyo Scalping **🗼 Tokyo Scalping: Market Regime Identifier for Asian Session**
🔍 This indicator helps you **identify three market regimes**—**Trending**, **Squeezing**, and **Ranging**—**during the Tokyo trading hours (9:00–15:00 JST)** by analyzing higher timeframe dynamics.
#### 🔑 Features:
* ✅ **Background colors** to indicate market states:
* **Teal**: Trending (strong momentum)
* **Yellow**: Squeeze (low volatility, potential breakout)
* **Blue**: Ranging (no clear direction)
* ✅ **Dynamic trend threshold** based on ATR slope
* ✅ **ADX-based trend filtering**
* ✅ **Bollinger Band width contraction detection**
* ✅ **Clean label overlay** only when market condition changes (Trend / Squeeze / Range)
* 🔧 Fully customizable timeframes and thresholds
This tool is ideal for scalpers and intraday traders aiming to adapt quickly to the Tokyo market regime.
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### **🗾 東京スキャルピング：東京時間向けの市場状態識別インジケーター**
このインジケーターは、\*\*東京市場時間（午前9時〜午後3時）\*\*における市場の状態を3種類（**トレンド／スクイーズ／レンジ**）に分類し、**高時間足の分析**をもとに背景色とラベルで視覚的に表示します。
#### 🔑 主な特徴：
* ✅ 背景色による市場状態の表示：
* **ティール色**：トレンド状態（勢いあり）
* **黄色**：スクイーズ（低ボラティリティでブレイクの兆候）
* **青色**：レンジ（方向感がない状態）
* ✅ ATRを活用した動的なトレンド判定
* ✅ ADXに基づくトレンド強度の検出
* ✅ ボリンジャーバンド幅の収縮を検知
* ✅ **状態が変化したときのみ**ラベルを表示（T / S / R）
視認性が高く、**スキャルピングや東京時間帯の戦略に特化**したトレーダーに最適です。
Zero Lag MTF Moving Average by CoffeeshopCryptoBased on Moving Average Types supplied by @TradingView www.tradingview.com
Ideas and code enhanced to show higher timeframe by @CoffeeShopCrypto
It’s time to take the guesswork out of moving averages and multiple timeframes when day trading. Moving averages are a cornerstone of many trading strategies, often viewed as dynamic support and resistance levels. Traders rely on these levels to anticipate price reactions, whether it’s a bounce in a trending market or a reversal in a ranging one. Additionally, the direction and alignment of multi timeframe moving averages—whether they’re moving in the same direction or diverging—provide critical clues about market momentum and potential reversals. However, the traditional higher timeframe moving average indicators force traders to wait for higher timeframe candles to close, creating lag and missed opportunities.
The Old Way
For example: If you are on a 5 minute chart and you want to observe the location and direction of a 30 minute chart Moving Average, you'll need to wait for a total of 6 candles to close, and again every 6 candles after that. This only creates more lag.
The New Way
Now there is no waiting for high timeframe session candles to close. No matter what timeframe Moving Average you want to know about, this indicator will show you its location on your current chart at any time in real time.
For those who prefer Bollinger Bands, this indicator adds a whole new dimension to your strategy. Traders often wait for price action to break outside the lower time frame Bollinger bands before considering a trade, while still seeking key support or resistance levels beyond them. But if you don't know the position of your higher time frame Bollinger, you could be trading into a trap. With Zero Lag Multi Timeframe Moving Average, you can view both your current and higher timeframe Bollinger Bands simultaneously with zero waiting. This lets you instantly see when price action is traveling between the bands of either timeframe or breaking through both—indicating a strong trend in that direction. Additionally, when both sets of Bollinger Bands overlap at the same price levels, it highlights areas of strong consolidation and ranging conditions, giving you a clear picture of market dynamics. This is a key element in price action that tells you there is currently no direction to the market and both the current and higher time frames are flat.
Enter Zero Lag Multi Timeframe Moving Average—the ultimate tool for real-time higher timeframe moving averages and Bollinger Bands. This innovative indicator eliminates the delay, delivering instant, precise values for higher timeframe averages and bands, even on open candles. Seamlessly combining current and higher timeframe data, it allows traders to identify key moments where moving averages or Bollinger Bands align or diverge, signaling market conditions. Whether you’re gauging the strength of a trend, pinpointing potential reversals, or identifying consolidation zones, Zero Lag Multi Timeframe Moving Average gives you the clarity needed to make better trading decisions according to market conditions.
Why is this "Mashup" of moving averages different and important?
Honestly its really about the calculation thats imported through the "import library" function.
Heres what it does:
The ZLMTF-MA is designed to help traders easily see where higher timeframe moving averages and Bollinger Bands are—without needing to switch chart timeframes or wait for those larger candles to close. It works by adjusting common moving average types like SMA, EMA, and VWMA to show what they would look like if they were based on a higher timeframe, right on your current chart. This helps users stay focused on their main timeframe while still having a clear view of the bigger picture, making it easier to spot trend direction, key support and resistance levels, and overall market structure. The goal is to keep things simple, fast, and more visually informative for everyday traders.
Bollinger Bands
When working with Bollinger Bands, a common strategy is to take the trades once price action has escaped through the top or bottom of your current Bollinger Band.
A false breakout occurs when both Bollinger Bands are not moving in the same direction as eachother or when they are overlapping.
Moving Averages as Support and Resistance:
Traders who use Moving Averages as support or resistance, looking for rejections or failures of these areas can now see multiple timeframe price action instantly and simultaneously.
Trading Setup Examples:
Price Action Scenario 1:
Higher Timeframe Ranging-
When price action breaks through a current moving average headed toward a higher timeframe moving average, trades are taken with caution if the moving averages are converging.
Price Action Scenario 2:
Strong Trending Market -
If the moving averages are in the same direction, and your price action is now leading the low timeframe moving average, you have re-entered a strong trend.
Price Action Scenario 3:
High Timeframe Rejections -
If you have a rejection of a higher timeframe moving average, and your both averages are still diverging, this is the end of a pullback as you re-enter a strong trend in the original direction
Price Action Scenario 4:
Trend Reversals -
If you close beyond both the low and high timeframe moving averages, you can consider that price action is strong enough to change direction here and you should prepare for trade setups in the opposite direction of the previous.
HTF MA Label Information:
Even if your high timeframe moving average is turned off, you can still see this label.
It gives you a quick reminder of what high timeframe settings you have used to see MA values.
Relative After-Hours AVOLThis script calculates and plots the relative after-hours volume (AVOL) as a percentage of the stock’s average daily volume, helping you measure how active a stock is during extended trading hours (premarket + after-hours) compared to its normal daily activity.
Futures Globex SessionThis is a simple indicator that will highlight the globex range based on the unique trading hours of each product. To get this to work correctly, you will need to use it on a continuous unadjusted chart (MES1!). Here are the start and stop times for each futures contract:
ES1!
18:00 to 09:30 ET
NQ1!
18:00 to 09:30 ET
RTY1!
18:00 to 09:30 ET
YM1!
18:00 to 09:30 ET
ZN1!
18:00 to 08:20 ET
ZB1!
18:00 to 08:20 ET
GC1!
18:00 to 08:20 ET
CL1!
18:00 to 09:00 ET
NG1!
18:00 to 09:00 ET
ZS1!
20:00 to 09:30 ET
ZW1!
20:00 to 09:30 ET
MES1!
18:00 to 09:30 ET
MYM1!
18:00 to 09:30 ET
MNQ1!
18:00 to 09:30 ET
M2K1!
18:00 to 09:30 ET
MCL1!
18:00 to 09:00 ET
MGC1!
18:00 to 08:20 ET
Ultimate Adaptive Multi-Regime Trading System🧩 What is the UA-MTS Indicator?
UA-MTS is an intelligent trading indicator built for scalping, day trading, and adaptive decision-making. It analyzes price action, trend, volatility, volume, and patterns across multiple timeframes to give traders clear, context-aware buy and sell signals.
It’s like having a smart assistant on your chart that tells you:
What kind of market you’re in (trend, range, volatility, etc.)
What patterns are forming and how reliable they are
When a high-confidence trade opportunity appears
How far price might go next (via projection lines)
⚙️ What Does It Do?
Detects Market Regime
Identifies whether the market is Trending, Ranging, Volatile, Accumulating, or Distributing
Adjusts strategy logic based on the regime
Scans for Patterns
Finds smart price patterns (like engulfing, divergences, fractals, head & shoulders)
Evaluates pattern quality and importance
Uses AI-like Logic
Includes a mini neural network that digests market data and projects price movement
Confirms with Volume and Volatility
Filters out weak signals based on how strong the volume and volatility are
Gives Trade Signals
Shows Buy or Sell markers with scores and confidence %
Highlights high-quality trades with a star (★)
Visual Tools
Confidence bands (projected price range)
Prediction lines
Color-coded market regime
🕹 How to Use It (in TradingView)
Use the Regime Label
Bottom of chart will say "Regime: Trending (80%)" or similar
Trust trend signals more in Trending regime, reversal patterns more in Ranging
Enable Multi-Timeframe Analysis (optional)
It blends data from multiple timeframes (like 1m + 5m + 15m) to sharpen signal logic
Confirm Before Entering
Look at the Score and Confidence %
Use it with other tools like support/resistance or price structure for even better entries
📈 Best Use Cases
Scalping on 1m/5m/15m charts
Day trading breakouts or reversals
Filtering trades during sideways markets
Avoiding traps in high volatility
Projecting short-term price direction
ATR in Percentagethe script calculates ATR in percentage instead of money units, useful for comparison
Created by me using ChatGPT orders.
hope it is useful you can put alerts too
NY Open Market Condition Analyzer – TTR & RI - Beta 0.1.3📌 NY Open Market Condition Analyzer – TTR & RI - Beta 0.1.3
Built for NQ/MNQ scalpers who thrive on structure, this indicator evaluates market conditions at the New York Open (6:30–8:30AM PST) and only flashes green when high-probability conditions align.
📊 Core Filters
TTR (Total Trading Range): Measures volatility from 2:00–6:30AM PST
5-Min Candle Body: Captures the size of the opening impulse
VWAP Distance: Gauges market expansion from a mean
MNQ/MES Divergence: Confirms directional alignment between indices
UT Bot Alerts: Integrates an ATR/EMA-based trend confirmation system
🎯 Primary Objective
Filter out weak sessions and trade only when structure supports movement.
Avoid choppy Mondays and Fridays unless volatility proves otherwise
Combine system rules with momentum-based confluence
Preserve your edge and mental capital by only trading when it’s worth it
✅ Features
Smart Session Filter Logic:
Premarket Range ≥ X pts
Opening 5-Min Candle Body ≥ Y pts
VWAP Distance ≥ Z pts
Divergence filter to ensure MNQ & MES are not in conflict
UT Bot Buy Signal required (if enabled)
Visual Feedback:
Colored background: 🟩 GOOD or 🟥 SKIP
Chart labels: GOOD SETUP or SKIP SESSION
Optional UT Bot signal markers (Buy)
Toggle visibility for GOOD and SKIP signals
Dashboard Panel (top-right):
Displays real-time data for all active filters
Premarket Range
5-Min Candle Body
VWAP Distance
Divergence Status
UT Bot Buy Signal
Final Verdict: ✅ GOOD or ⚠️ SKIP
🔔 How to Use Alerts
Click the “Alerts” (🔔) tab
Create a new alert
Condition: NY Open Market Condition Analyzer – TTR & RI + UT Bot → Good Setup Alert
Set action (push, webhook, etc.)
Use “Once Per Bar” for 1-minute charts
🧠 Best For:
MNQ/NQ scalpers
Traders using MAS Capital’s Reversal Indicator
1R–2R scalping models (10–30pt targets)
Traders looking for pre-trade confirmation based on structure AND momentum
KindBTCUSDT.P (Binance) 15m Long Pyramiding Strategy
- Stop-loss restriction at the middle band
- Using only long strategies improves the risk-reward ratio
- Utilizing the optimal Bollinger Bands period
Atlas BBTlevelsAtlas BBTlevels is a custom Bollinger Bands-based indicator that measures the momentum and strength of price trends using the difference between short- and long-period Bollinger Bands. Inspired by John Bollinger’s official tools like BBTrend, %b, and Bandwidth, this script adds adjustable horizontal threshold levels so traders can mark important reaction zones on their charts.
It visualizes when markets may be entering overheated or exhausted conditions — either for trend continuation or potential reversals — and works across crypto, stocks, forex, spot, or perpetual charts.
How I personally use it:
I apply Atlas BBTlevels across three timeframes:
Low timeframe (LTF): 5m–15m
Mid timeframe (MTF): 1h–6h
High timeframe (HTF): 1d–2d
I review where the indicator historically spiked during major moves. For example, if the 4-hour chart shows repeated spikes to +10 or −10, I’ll set my positive and negative thresholds near those levels. This lets me anticipate zones where the market may reverse, cool off, or break out. I then compare LTF, MTF, and HTF levels to look for confluence. When multiple timeframes align near key levels, it gives me higher confidence to prepare for a trade — but I always combine this with price action and other confirmation tools.
How others can use it:
Identify overbought/oversold zones by adjusting the thresholds to match historical extremes on your chosen asset.
Use it as a trend strength gauge: when the histogram is near or above the top threshold, the trend is likely strong; when it fades back toward zero, momentum is weakening.
Watch for volatility expansions or contractions as the indicator accelerates away from or returns toward zero.
Combine it with price action (support/resistance, trendlines, chart patterns) or other momentum tools to reduce false signals.
Apply it across multiple timeframes to look for confluence — this increases reliability compared to using it on just one chart.
Important tips:
Positive spikes (above zero) usually indicate strength or overextension upward; negative spikes (below zero) show weakness or downward exhaustion.
You can reverse the color logic if you want (for example, highlight negative spikes as green for buy interest and positive spikes as red for sell interest) — this is just a visual preference.
This is not a standalone buy/sell system. Always combine it with other tools, market context, and risk management.
Buzzy DraftAbove EMA breakout, when price closes above EMA 10 and RSI confirms through a threshold there are entries. Has consecutive count for further confirmation and uses automatic TP and SL using bolling bands of the EMA 10.
For Buzzydaze.
