EMA Separation (LFZ Scalps) v6 — Early TriggerPlots the percentage distance between a fast and a slow EMA (default 9 & 21) to gauge trend strength and filter out choppy London Flow Zone breakouts.
• Gray – EMAs nearly flat (low momentum, avoid trades)
• Orange – early trend building
• Green/Red – strong directional momentum
Useful for day-traders: wait for the gap to widen beyond your chosen threshold (e.g., 0.25 %) before entering a breakout. Adjustable EMA lengths and alert when the separation exceeds your “strong trend” level.
Volatilidad
MYM Edge Booster MYM Long Trading Assistant - ATR-Based Edge Booster
Clean, simple indicator that tells you when MYM long setups meet high-probability criteria. No complicated charts - just clear numbers and signals.
• ATR Targets & Stops (whole numbers)
• Quality Score (0-3 stars)
• Green Circle when conditions perfect
• Warnings for choppy/high volatility
• ES/NQ sector confirmation
Eliminates guesswork. Trade when the green circle appears.
MajorTop DeltaVol ma5-52wThe idea is to identify major tops on the weekly when both are above 0 at the same time; to look just for mkt tops.
Major tops use to drag on for a little with increasing volatility before crashing.
green is 5-52sma
fuchsia 3-9sma
Sma are on the candle's range ratio on the close.
Simplified ATR Trailing Stop (Long & Short, Custom TF + Stop)This indicator plots a dynamic ATR-based trailing stop that adapts to price volatility and keeps you protected whether you’re trading long or short. It’s lightweight, customisable, and designed for traders who want clean risk management without unnecessary complexity.
✨ Key Features:
📅 Custom Entry Date & Price – choose the exact day you want the trailing stop to begin, or let it auto-start from the close.
🔀 Long or Short Mode – flip between bullish and bearish trade setups.
⏱️ Custom Timeframe Support – calculate ATR stops on any higher/lower timeframe (from 10m to 1M) for maximum flexibility.
📏 ATR-Based Logic – trailing stop adjusts dynamically using a multiplier of ATR, keeping stops adaptive to volatility.
🎯 Custom First-Day Stop – set a different ATR factor for day one to handle entries more cautiously.
✅ Stop Trigger Mode – choose between:
Stop on Wick Breach (default intraday aggressiveness)
Stop on Candle Close (extra confirmation, fewer false stops).
📊 How to Use:
Set your entry date and price (or leave price = 0 to use that day’s close).
Select trade direction (Long or Short).
Pick your ATR period, multiplier, and timeframe.
Watch the trailing stop line update automatically until it’s breached.
This tool is great for swing traders, intraday strategists, and anyone who wants a simple yet powerful trailing stop that adapts to price volatility.
Smart TP Manager V.1.0🔹 Smart TP Manager V1.0 is a complete trade management tool for TradingView.
It allows you to:
Automatically detect Long/Short signals using EMA crossovers, RSI filter, higher-timeframe EMA trend, and ADX.
Calculate and display a dynamic Stop Loss based on ATR.
Automatically set TP1, TP2, TP3 with Breakeven management (risk set to zero after TP1).
Track performance with a statistics table (Win/Loss, BE, win rate, net profit in R).
Get a clear visual display of entries, SL, and TP with colored lines and labels.
Receive automatic alerts for every signal or target reached.
📊 It’s a risk and trade exit management assistant designed to optimize your trades and secure your profits.
Lakshmi - Vajra Energy Signal (VES)Vajra Energy Signal (VES) is an advanced volume analysis indicator that detects energy accumulated inside the market.
When assessing the strength of trading activity, conventional practice looks at the magnitude of volume; VES is designed with the understanding that the same volume can have different meanings depending on the price range.
VES analyzes the complex relationship between price movement and volume with a proprietary algorithm and can detect internal market activities that are invisible from surface‑level price action, visualizing the characteristic whereby the value rises before a breakout.
In other words, VES views the market as an “energy system.” In the energy accumulation phase, relatively high volume occurs relative to the price range, and in the energy release phase, the stored energy is emitted as high volatility in price, that is, a breakout—this is the core concept on which VES is established.
⚡️ Basic Demonstration
i.imgur.com
As you can see in the image above, VES simply displays the highs and lows of energy stored in the market as a thin line in a separate panel.
It is easy for traders to understand its intuitive patterns: it rises when hidden buying accumulation or selling activity continue and sink when a price breakout occurs. It can be applied across symbols and markets (stocks, commodities, cryptocurrencies, spot, and futures). While reducing clutter in price scale labels, it also supports dynamic autoscaling.
⚡️ Practical Usage
VES is expected to be used for the following purposes.
- Entry signal
When the VES value continues to rise—i.e., during energy accumulation—it can be considered on standby for a breakout. After a breakout, a trader can confirm the trend direction and enter.
- Exit signal
If the VES value rises during a trend, consider the possibility of a reversal and consider taking profits.
- Risk management
If the VES value remains elevated for a long period, regard it as increased market uncertainty and an approaching breakout; adopt a cautious trading strategy to prepare for higher volatility and adjust position size.
For example, in the BINANCE:SOLUSDT daily chart below, VES clearly shows how it functions in short‑term trading.
i.imgur.com
In September 2023, when the price was moving around 20 USDT, VES formed frequent small spikes. These early spikes suggest that market participants were still in a wait‑and‑see mode and that small‑scale accumulation was being conducted intermittently.
A decisive change came in early October 2023. While the price still stagnated in the 20–25 USDT range, VES suddenly formed a huge spike. The scale of this spike was far larger than those in September 2023, clearly suggesting that hidden substantial trading activities by large investors had begun.
In mid‑October 2023, the price began to rise. It climbed stepwise from 25 USDT to 40 USDT, then to 60 USDT and 75 USDT, and then surged to above 120 USDT within just a few weeks. This suggests that the energy built in the buy accumulation phase in early October 2023 was converted into price appreciation.
Therefore, after such a large VES signal is observed and the price breaks upward, entering a long position could have been profitable.
A large VES reaction is not only a quiet “buy signal” as in the example above; it can also be a “sell signal.” Such a case is explained below using an example on the BTC chart.
i.imgur.com
This BITSTAMP:BTCUSD 4‑hour chart is a valuable example showing how VES detects top formation on a short timeframe. In the first half of February 2024, the price moved in a relatively narrow 96,000–99,000 USD range. During this period, VES remained stable at low levels, and the market continued a calm uptrend.
The first sign appeared on February 16, 2024. While the price still held around 97,000 USD, VES formed a clearly identifiable small spike. This implied that some large investors had begun to take profits, or that new sellers had started to build short positions. However, at that point, the impact on price was limited, and many traders may have overlooked the signal.
The decisive turning point came on February 23, 2024. With the price moving around 98,000 USD, VES suddenly formed a huge spike. The scale of this spike was far larger than previous moves, clearly indicating that significant energy was accumulating.
Importantly, even at this moment the price still remained at the highs. On the surface, price barely moved and the bull trend appeared intact, but VES detected a major internal change underway.
On February 24, 2024, the price collapsed and began to fall. It dropped about 15% from 97,000 USD to 82,000 USD in a few days. The speed and magnitude of this decline corroborated the quiet “sell signal” indicated by the VES spikes.
The key lesson from this chart is that a VES spike does not necessarily mean buy accumulation. A large VES spike formed at high prices may instead indicate a distribution phase—that is, large investors exiting or building short positions. When the price is at elevated levels, a VES spike should be considered not only as a precursor to further upside but also as a warning of potential downside.
From a trading‑strategy perspective, the huge VES spike on February 23, 2024 was a clear signal to exit or to consider entering short positions. At that point, traders should have either closed long positions or to consider building a short position. The moment when price started to decline from its peak was exactly the entry timing for a short.
On the 4‑hour timeframe, changes in VES appear faster and more dramatically. While this allows more agile responses, the risk of false signals is also higher; therefore, confirmation on other timeframes and comprehensive judgment with price action are essential.
VES is a powerful tool for reading internal market activities, and this chart clearly shows that its interpretation requires flexibility that takes into account market conditions and price location.
⚡️ Parameter Settings
Strength 1: The lower the number, the more it emphasizes responses closer to the present timeframe; the higher the number, the more it emphasizes responses farther from the present timeframe. 5 is recommended.
Strength 2: The lower the number, the greater the volatility of the value; the higher the number, the smaller the volatility. 5 is recommended.
Scale: Adjusts the display scale. −30 is recommended.
⚡️ Conclusion
Vajra Energy Signal (VES) visualizes the cycle of energy accumulation in the market from the relative relationship between price range and volume, detecting hidden activities by market participants that conventional volume analysis cannot capture. VES serves as a powerful auxiliary tool for early detection of turning points, enabling deeper market understanding and more accurate timing decisions. As the examples show, there is a possibility of sensing major price movements in advance. When using VES, flexible interpretation according to market environment and price location is required, and it demonstrates its true value when combined with price action and other analysis methods such as support/resistance.
⚡️ Important Notes
- VES is a tool that infers internal market energy; it does not guarantee trades or suggest future results.
- We strongly recommend using it together with price action analysis and support/resistance.
- Confirmation across different timeframes improves reliability.
- Effectiveness may vary depending on market conditions and liquidity.
- Very illiquid instruments or newly listed assets may produce more noise.
⚡️ How to Get Access
This indicator is Public Invite‑Only. If you would like access, please apply by following the Author’s Instructions.
Average True Range TrackerThis indicator calculates the daily ATR of the past 14 days. The ATR% indicates the range completed for the day. The ATR indicates the average daily range. The 20% ATR indicates the value of 20% of the daily ATR for retracement purposes.
Daily ATR TrackerThis indicator calculates the daily ATR of the past 14 days. The ATR% indicates the range completed for the day. The ATR indicates the average daily range. The 20% ATR indicates the value of 20% of the daily ATR for retracement purposes.
MACD (The Moving Average Convergence Divergence)The Moving Average Convergence Divergence (MACD) is a momentum indicator used in technical analysis to identify trends, measure their strength, and signal potential reversals. It is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA, creating the MACD line. A 9-period EMA of the MACD line, known as the signal line, is then plotted to generate buy or sell signals. Positive MACD values suggest upward momentum, while negative values indicate downward momentum. Traders often watch for crossovers, divergences, and movements relative to the zero line to make informed decisions.
BOCS AdaptiveBOCS Adaptive Strategy - Automated Volatility Breakout System
WHAT THIS STRATEGY DOES:
This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss.
TECHNICAL METHODOLOGY:
Price Normalization Process:
The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels.
Volatility Detection:
A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars).
Channel Formation Logic:
When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries.
Breakout Signal Generation:
Two detection modes are available:
Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks.
Any Touch Mode: Breakout occurs when the close price exceeds the boundary.
When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart.
ATR-Based Risk Management:
The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14).
Exit levels are calculated at the moment of breakout:
Long Entry Price = Upper channel boundary
Long TP1 = Entry + (ATR × TP1 Multiplier)
Long TP2 = Entry + (ATR × TP2 Multiplier)
Long SL = Entry - (ATR × SL Multiplier)
For short trades, the calculation inverts:
Short Entry Price = Lower channel boundary
Short TP1 = Entry - (ATR × TP1 Multiplier)
Short TP2 = Entry - (ATR × TP2 Multiplier)
Short SL = Entry + (ATR × SL Multiplier)
Trade Execution Logic:
When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average.
If all conditions are met:
strategy.entry() opens a position using the user-defined number of contracts
strategy.exit() immediately places a stop loss order
The code monitors price against TP1 and TP2 levels on each bar
When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order.
Volume Analysis System:
The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available:
Volume Mode: Shows total volume as bars scaled relative to the 20-period average
Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline
Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below
The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades.
INPUT PARAMETERS:
Strategy Settings:
Number of Contracts: Fixed quantity to trade per signal (1-1000)
Require Volume Confirmation: Toggle to only trade signals with volume >120% of average
TP1 Close Contracts: Exact number of contracts to close at first target (1-1000)
Use Trading Hours Filter: Toggle to restrict trading to specified session
Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600")
Main Settings:
Normalization Length: Lookback bars for high/low calculation (1-500, default 100)
Box Detection Length: Period for volatility peak/trough detection (1-100, default 14)
Strong Closes Only: Toggle between body midpoint vs close price for breakout detection
Nested Channels: Allow multiple overlapping channels vs single channel at a time
ATR TP/SL Settings:
ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.)
ATR Length: Smoothing period for ATR (1-100, default 14)
Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0)
Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0)
Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0)
Enable Take Profit 2: Toggle second profit target on/off
VISUAL INDICATORS:
Channel boxes with semi-transparent fill showing consolidation zones
Green/red colored zones at channel boundaries indicating breakout areas
Volume bars displayed within channels using selected mode
TP/SL lines with labels showing both price level and distance in points
Entry signals marked with up/down triangles at breakout price
Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status
HOW TO USE:
For 2-Minute Scalping:
Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods.
For 5-15 Minute Day Trading:
Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional.
For Hourly+ Swing Trading:
Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups.
BACKTEST CONSIDERATIONS:
Strategy performs best during trending or volatility expansion phases
Consolidation-heavy or choppy markets produce more false signals
Shorter timeframes require wider stop loss multipliers due to noise
Commission and slippage significantly impact performance on sub-5-minute charts
Volume confirmation generally improves win rate but reduces trade frequency
ATR multipliers should be optimized for specific instrument characteristics
COMPATIBLE MARKETS:
Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function.
KNOWN LIMITATIONS:
Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility
request.security() on lower timeframes requires higher-tier TradingView subscription
False breakouts inherent to breakout strategies cannot be completely eliminated
Performance varies significantly based on market regime (trending vs ranging)
Partial closing logic requires sufficient position size relative to TP1 close contracts setting
RISK DISCLOSURE:
Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions.
ACKNOWLEDGMENT & CREDITS:
This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.
Maple Algorithm_GOLDMaple Algorithm – AI-Powered Gold Indicator
Maple Algorithm is an AI-inspired indicator designed specifically around the price behavior of Gold (XAUUSD).
It automatically calculates and plots take-profit (TP) and stop-loss (SL) levels based on dynamic market conditions, allowing traders to capture precise entries and exits.
✨ Key Features
AI-driven adaptive model trained on Gold’s market structure
Auto-generated TP/SL zones for precision trading
Compatible with your own strategies — scale from 1:2 RRR up to even higher setups
Optimized for scalping and short-term momentum bursts
⚠️ Disclaimer:
This indicator is for educational and research purposes only. It does not guarantee future results. Always test thoroughly before applying to live trading.
RSI(7) + MACD ZoneTitle: RSI(7) + MACD Zone Combo
Description:
This indicator combines RSI (7) and MACD (12,26,9) into a single panel with a unified scale for easier analysis.
RSI (7) is plotted in white and automatically turns red when the market reaches overbought (>70) or oversold (<30) conditions.
MACD is normalized to align with the RSI scale (0–100).
A value of 50 represents MACD = 0.
Above 50 (teal) indicates positive momentum.
Below 50 (red) indicates negative momentum.
This combination allows traders to quickly identify when short-term RSI conditions align with overall momentum shifts from MACD.
How to use:
Look for potential buy opportunities when RSI is oversold (<30) and MACD is above 50 (positive momentum).
Look for potential sell opportunities when RSI is overbought (>70) and MACD is below 50 (negative momentum).
Use in conjunction with price action and risk management — not as a standalone signal.
ATR Enhanced [DCAUT]█ ATR Enhanced
📊 OVERVIEW
Standard ATR uses only RMA smoothing, while ATR Enhanced provides 20+ professional smoothing algorithms , offering precise volatility measurement solutions for different trading scenarios and market environments.
💡 CORE VALUE
- 20+ algorithm choices : SMA, EMA, RMA, WMA, HMA, T3, KAMA, FRAMA, Kalman Filter, etc.
📋 PARAMETER SETUP
ATR Length : Calculation period (default: 14)
Moving Average Type : Choose the most suitable smoothing method from 20+ algorithms
🎨 COLOR CODING
Green : Rising volatility
Red : Falling volatility
Morning Peak FadeMorning Peak Fade is an intraday analysis tool that identifies and measures the probability of early session rallies turning into sharp pullbacks.
📊 Core Idea
• Many stocks surge after the open, reaching an intraday peak before fading lower.
• This script anchors at the first significant morning high and tracks the drawdowns that follow within a customizable time window.
• It provides:
• Probability of a fade after the peak
• Average and maximum drawdown statistics
• Event-day hit rate (how often such setups occur)
🎯 Use Cases
• Spot potential “fade setups” where early enthusiasm exhausts quickly.
• Quantify how often chasing the morning high turns into a losing trade.
• Backtest opening range failure or fade strategies with hard data.
⚙️ Features
• Customizable thresholds for the initial surge (relative to prior close).
• Marks the peak (max) and subsequent low (min) used in calculations.
• Draws a reference line at the surge threshold to visualize when the fade triggers.
• Outputs summary stats directly on the chart.
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps.
📊 Core Idea
• When a stock opens +X% above the prior close, it often attracts momentum traders.
• This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour.
• It calculates:
• The probability of a post-gap rally vs. a drawdown
• Average and maximum retracements after the surge
• Event-day hit rate (how many days actually triggered the condition)
🎯 Use Cases
• Identify “gap-and-go” opportunities where strong premarket strength leads to further gains.
• Spot potential fade setups where early enthusiasm quickly reverses.
• Backtest your intraday strategies with objective statistics instead of gut feeling.
⚙️ Features
• Customizable thresholds for premarket/open surge (%) and follow-through window (minutes).
• Marks the chart with reference lines:
• Prior close
• Surge threshold (e.g. +6%)
• Intraday high/low used for probability calculations.
• Outputs summary statistics (probabilities, averages, counts) directly on the chart.
🔔 Note
This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
Elite Entries Range Setter Premium
Elite Entries Range Setter
**What it is**
Elite Entries Range Setter builds a simple but sturdy market map: a predictive range on a higher timeframe, mid-levels between those lines, and **filtered breakout signals** plus **auto-drawn support/resistance zones** (with optional retest tags). It’s designed for day traders who want structure without noise—and swing traders who like to anchor to a higher-timeframe heartbeat.
What it gives you
* **Predictive range grid** (R2 / R1 / AVG / S1 / S2) computed from your chosen TF with adaptive ATR logic.
* **MTF signal engine**: breakouts are detected on your selected *Signal TF* while ranges come from the range TF—clean separation of “map” vs “trigger.”
* **Mid-lines** between range levels for bounce/continuation context (visual only here).
* **Auto Zones**: when price crosses a key line (range or mid), a shaded support/resistance box is created. Zones extend until broken; they dim when invalidated.
* **Optional Retests**: label when price re-tests a fresh zone and rejects/holds (cooldowns included).
* **Stacked Filters**: RSI, Volume EMA, and MA direction—use one, some, or all to tighten signals.
* **Session awareness**: choose to limit signals/zone creation to New York hours.
* **Alerts**: one consolidated breakout alert + dedicated zone-retest alerts.
---
How to use (the 60-second setup)
1. **Pick your Range TF** (default 15m). This sets the “grid” (R2/R1/AVG/S1/S2).
2. **Choose your Signal TF** (can be same as chart or different). This is where breakouts are confirmed.
3. **Turn on filters** to taste:
* **RSI** for momentum extremes (OB/OS configurable)
* **Volume EMA** for participation (Above/Below)
* **MA direction** for trend alignment (EMA/SMA/HMA, configurable length)
4. **Zones**: leave enabled to auto-box supports/resistances when lines are crossed. Adjust size by **Ticks** or **ATR ×** for instrument sensitivity.
5. **Alerts**: add “**Grid Breakout (Filtered)**” for trade triggers, and “Zone Bullish/Bearish Retest” if you trade pullbacks.
---
Inputs that matter
* **Range Setter**
* *ATR Length / Factor*: controls how wide the predictive range breathes.
* *Timeframe*: TF used to compute the grid (e.g., 15m).
* *Candlestick Type*: Traditional or Heikin-Ashi source.
* **Filter Options**
* *RSI*: Period + OB/OS thresholds.
* *Volume EMA*: Period + Above/Below condition.
* *MA Filter*: EMA/SMA/HMA + length; must be above (long bias) or below (short bias).
* **Trading Grid**
* *Signal TF*: where breakouts are detected.
* *Use MTF Signals*: toggle to confirm on a different TF than your chart.
* *Session Filter (NY)*: gate signals to the cash session.
* **Zones**
* *Only Create During NY Session*: keep structures “day-true.”
* *Size Mode*: **Ticks** (precise) or **ATR ×** (adaptive).
* *Retests*: on/off, min bars between retests, label size, colors.
* *Avoid Dupes at Same Level*: keeps the chart tidy.
---
Signals & Alerts
* **Breakout UP / DN**: confirmed cross of a mid or range line **and** all active filters pass.
* *Create alert:* **Grid Breakout (Filtered)**
* **Zone Retests**: optional labels/alerts when price wicks into a fresh zone and closes back out in the expected direction.
* *Create alerts:* **Zone Bullish Retest**, **Zone Bearish Retest**
*Pro tip:* Because the range grid comes from a (possibly) higher TF and signals can be confirmed on a different TF, you avoid most LTF chop while still reacting quickly.
---
Good habits (a trader’s creed)
* **Trust, but verify.** Filters help, not save. Read the tape: wicks, spreads, and time-of-day matter.
* **Let sessions speak.** NY hours tend to carry the volume; gating to session can reduce false pops.
* **Adjust zone size to the instrument.** Use ATR × on volatile tickers/futures; use Ticks for clean FX/Index contracts.
* **Mind the load.** If you enable many zones on very low TFs, consider trimming history or increasing tick size for performance.
---
Repainting & behavior notes
* Range levels are computed with `request.security(..., lookahead=off)` and only update as the higher-timeframe bar evolves/finishes.
* Breakout checks also use `lookahead=off`. Signals confirm on the **close** of the chosen *Signal TF*.
* Zone creation happens on **confirmed bars** to reduce flicker.
* No backtest or strategy orders—this is an **indicator** for discretionary or rule-based trading with external execution.
---
Who it’s for
Day traders who want **clear structure + filtered triggers**. Swing traders who anchor to a higher-TF grid but demand timely confirmation. Anyone tired of random “buy/sell” confetti and ready for a **map, a method, and a mute button** for the noise.
---
Final word
Markets are poetry and math—this tool sketches the meter so you can hear the rhyme. Keep risk first, keep faith in your process, and let disciplined edges do the talking. ✨
*Educational use only. Not financial advice. Trade responsibly.*
GME Cycle PredictorTitle: GME Cycle Predictor
Short Title: GME Cycle
Author:
Version: Pine Script @version=6
Published: September 25, 2025
Category: Cycle Analysis, Technical Analysis
Asset Focus: GameStop (GME) OverviewThe "GME Cycle Predictor" is a specialized cycle analysis tool designed for GameStop (GME) traders, identifying key cyclical patterns and confluence points that may signal significant price movements. Built on Pine Script @version=6, this indicator leverages historical reference points, volume, momentum, and Fibonacci levels to highlight critical cycle events, including 147-day quarterly cycles, 1704-day major cycles, T+35 FTD (Failure-to-Deliver) cycles, quarterly OPEX dates, and swap roll periods. The script provides a clean, visually intuitive interface with minimal clutter, using bright neon shapes, subtle background highlights, dynamic support/resistance levels, and a comprehensive information table to guide trading decisions. It is tailored for GME enthusiasts looking to capitalize on recurring market patterns tied to the stock’s unique history, such as the January 28, 2021 squeeze and Roaring Kitty’s return in June 2024.Key FeaturesCycle Detection:147-Day Quarterly Cycle: Marks every 147 days from the January 28, 2021 squeeze, indicating potential volatility periods.
1704-Day Major Cycle: Identifies long-term cycles starting from the 2021 squeeze, signaling rare but significant events.
T+35 FTD Cycles: Highlights 35-day Failure-to-Deliver settlement cycles, often associated with short squeeze pressure.
Quarterly OPEX Dates: Flags the 15th of March, June, September, and December for options expiration impacts.
Swap Roll Periods: Marks the last day of each quarter (March 30, June 30, September 30, December 31) for potential market maker activity.
Confluence Detection:Major Confluence: Combines 147-day cycles or OPEX dates with high volume (1.5x 20-day SMA) and RSI > 50 for strong bullish signals.
Super Confluence: Triggers when 1704-day and 147-day cycles align with high volume, indicating rare high-impact events.
Dynamic Support/Resistance:Plots 147-day cycle highs and lows as dynamic support/resistance levels.
Includes a 61.8% Fibonacci retracement level between cycle highs and lows for key price targets.
Visual Elements:Neon Shapes: Uses distinct, bright shapes for cycle events (no text labels):Red Circle (147-Day Cycle)
Yellow Diamond (1704-Day Major Cycle)
Orange Triangle (Quarterly OPEX)
Green Square (T+35 FTD Cycle)
Purple X (Swap Roll)
Rocket () for 1704-day hits
Target () for January 28 anniversary
Cat () for Roaring Kitty’s June 2, 2024 return
Background Highlights: Subtle red (super confluence) and yellow (major confluence) background colors to mark high-probability events.
Support/Resistance Lines: Red (147-day high), lime (147-day low), and blue (61.8% Fibonacci) lines with transparency for clarity.
Information Table:Displays a clean, 11-row table in the top-right corner with a legend and status:Legend: Explains each shape and its corresponding cycle/event.
Status: Shows days since the January 28, 2021 squeeze, days until the next 1704-day and 147-day cycles (with red text for imminent events, ≤10 and ≤5 days, respectively).
Updates dynamically to avoid redundancy and ensure accuracy.
Alerts:Configurable alerts for 147-day cycle hits, 1704-day cycle hits, and super confluence events, enabling timely notifications for traders.
How It WorksHistorical Reference: Anchors cycles to the January 28, 2021 GME squeeze (timestamp("2021-01-28 00:00")) and Roaring Kitty’s return on June 2, 2024 (timestamp("2024-06-02 00:00")).
Cycle Calculations: Uses days_since_squeeze to compute modulo-based cycles (147-day, 1704-day, 35-day) and specific dates for OPEX and swap rolls.
Confluence Signals: Combines cycle events with volume (1.5x 20-day SMA) and RSI (>50) for major confluence, and adds 1704-day alignment for super confluence.
Visuals: Plots small, neon-colored shapes (circles, diamonds, triangles, squares, X’s) without text to minimize clutter, with subtle background highlights and dynamic support/resistance lines.
Table: Provides a legend for shapes and real-time status updates on cycle proximity.
Alerts: Triggers notifications for key cycle events to support active trading strategies.
Usage InstructionsApply to Chart:Add the indicator to a GME chart (e.g., daily timeframe recommended) in TradingView.
Ensure sufficient chart history (back to January 2021) for accurate cycle calculations.
Interpret Signals:Buy Opportunities:Look for red circles (147-day cycle), yellow diamonds (1704-day cycle), or orange triangles (OPEX) with yellow background (major confluence) or red background (super confluence).
Confirm with high volume and RSI > 50 in the table or chart.
The 61.8% Fibonacci level (blue) and 147-day low (lime) act as potential support for entries.
Sell Opportunities:Monitor for cycle peaks (e.g., 147-day high in red) or lack of confluence signals.
Use purple X’s (swap rolls) as potential exit points for volatility spikes.
Avoid Trading:No shapes or background colors indicate low-probability setups.
Use the Table:Check the table’s “Days Since 1/28/21” to track cycle progress.
Note “Next 1704-Day” and “Next 147-Day” counts; red text (≤10 or ≤5 days) signals upcoming events.
Use the legend to identify shape meanings.
Set Alerts:Configure alerts for “147-Day Cycle Alert”, “1704-Day Major Cycle Alert”, or “Super Confluence Alert” to receive notifications on key events.
Input SettingsShow All Cycle Predictions: Toggle all cycle markers (default: true).
Show 147-Day Quarterly Cycle: Toggle red circles for 147-day cycles (default: true).
Show 1704-Day Major Cycle: Toggle yellow diamonds for 1704-day cycles (default: true).
Show FTD T+35 Cycles: Toggle green squares for 35-day FTD cycles (default: true).
Show Swap Roll Dates: Toggle purple X’s for swap roll periods (default: true).
Example Table Output
LEGEND & STATUS |
🔴 Red Circle | 147-Day Cycle
🟡 Yellow Diamond | 1704-Day MAJOR
🟢 Green Square | T+35 FTD
🟠 Orange Triangle | Quarterly OPEX
🟣 Purple X | Swap Roll
🚀 Rocket | 1704 Hit!
🎯 Target | Jan 28 Anniv
Days Since 1/28/21 | 1357
Next 1704-Day | 347 days
Next 147-Day | 12 days
Why Use This Indicator?GME-Specific: Tailored for GME’s unique market dynamics, referencing the 2021 squeeze and 2024 events.
Clean Visuals: Uses bright neon shapes and minimal labels to reduce chart clutter while highlighting key cycles.
Actionable Insights: Combines cycle analysis with volume, momentum, and Fibonacci levels for high-probability setups.
Dynamic Table: Provides real-time cycle status and a clear legend for easy interpretation.
Customizable: Toggle specific cycles and adjust visuals to suit your trading style.
Notes for TradersBest Timeframe: Daily chart for accurate cycle alignment, though intraday (e.g., 1h) can work for short-term confirmation.
Risk Management: Use confluence signals (yellow/red backgrounds) and support levels (lime, blue) for entries; monitor swap rolls and cycle peaks for exits.
Limitations: Cycles are based on historical patterns and may not guarantee future performance. Combine with other indicators (e.g., RSI, volume) for confirmation.
Testing: Backtest on GME’s historical data (2021–2025) to validate cycle accuracy, especially around January 28 anniversaries and June 2024 events.
Publication NotesTags: GME, Cycle Analysis, GameStop, Short Squeeze, Technical Analysis, FTD Cycles, OPEX, Swap Rolls
Chart Example: Include a GME daily chart screenshot showing neon shapes, background highlights, support/resistance lines, and the table. Highlight a super confluence event (red background) or a 147-day cycle hit (red circle).
Community Contribution: Encourage feedback from GME traders to refine cycle lengths or add new reference points.
Disclaimer: Emphasize that this is for educational purposes, not financial advice. Past cycles do not guarantee future results.
H/L Swings/pivots detectorThis indicator detects and labels swing highs and swing lows using pivot logic.
It highlights market structure shifts by identifying:
- Higher Highs (HH) and Lower Highs (LH)
- Lower Lows (LL) and Higher Lows (HL)
Traders often use these levels to analyze trends, reversals, and key support/resistance zones.
The script also plots pivot markers above highs and below lows for visual clarity.
This tool is designed for educational and analytical purposes, and it does not provide financial advice or guaranteed results.
📂 Categories (choose when publishing)
Type of script → Indicator
Category → Trend Analysis (fits best for HH/LL pivots)
Optionally → Support/Resistance (if you emphasize pivots as zones)
swing high
swing low
pivot points
market structure
trend analysis
higher high
lower low
support resistance
Yasser Multiple Inside Bar Breakout SignalsDescription
Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies.
🔑 Key Features:
✅ Automatic MIB Detection – Identifies and counts consecutive inside bars.
✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar.
✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels.
✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management.
✅ Trend Filter – Optional EMA filter to trade only in the trend direction.
✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights.
✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts.
This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management.
📂 Categories
Indicators
Technical Analysis
Price Action
Breakout Strategies
Risk Management
🏷 Tags
inside bar
multiple inside bar
MIB breakout
price action
mother bar
breakout strategy
trend filter
EMA filter
ATR stop loss
risk reward
forex trading
crypto trading
stocks
commodities
indices
Yasser indicators
BB Crosses Optimized - [JTCAPITAL]BB Crosses Optimized - is a modified way to use Bollinger Bands combined with volatility filtering (ATR) and flexible smoothing methods for Trend-Following.
The indicator works by calculating in the following steps:
Source Selection & Smoothing
The script begins by letting the user select a preferred price source (default is Close, but options include Open, High, Low, HL2, etc.). This raw input is then passed through a smoothing process.
Multiple smoothing techniques can be chosen: SMA, EMA, HMA, DEMA, TEMA, RMA, and FRAMA. Each method reduces short-term noise differently, ensuring flexibility for traders who prefer faster or slower reaction speeds in trend detection.
Bollinger Band Construction
Once the smoothed source is prepared, Bollinger Bands are calculated. The middle band is a moving average of the smoothed data over the defined BB Period . The upper and lower bands are then generated by adding and subtracting the Standard Deviation × Deviation multiplier . These dynamic bands capture volatility and help define breakout zones.
ATR Volatility Measurement
Parallel to the band calculation, the Average True Range (ATR) is computed over the chosen ATR Period . This measures market volatility. The ATR can optionally act as a filter, refining buy and sell levels so signals adapt to current market conditions rather than being fixed to price alone.
Bollinger Band Signals
-If the smoothed price closes above the upper band, a potential bullish event is marked.
-If the smoothed price closes below the lower band, a potential bearish event is marked.
Trend Line Construction
When a bullish event occurs, the script anchors a trend-following line beneath price. If ATR filtering is enabled, the line is set at Low – ATR , otherwise at the simple Low. Conversely, when a bearish event occurs, the line is anchored above price at High + ATR (or just High without the filter). The line is designed to only move in the direction of the trend—if price action does not exceed the prior value, the previous level is held. This prevents unnecessary whipsaws and keeps the indicator aligned with dominant momentum.
Final Trend Detection
The slope of the trend line defines the trend itself:
-Rising line → bullish trend.
-Falling line → bearish trend.
Visual Output
The indicator plots the trend line with dynamic coloring: Blue for bullish phases, Purple for bearish phases. A subtle filled background area emphasizes the active trend zone for clearer chart interpretation.
Buy and Sell Conditions:
- Buy Signal : Triggered when smoothed price closes above the upper Bollinger Band. Trend line then anchors below price (with or without ATR offset depending on settings).
- Sell Signal : Triggered when smoothed price closes below the lower Bollinger Band. Trend line then anchors above price (with or without ATR offset).
Additional filtering is possible via:
- ATR Toggle : Switch ATR on or off to adapt the strategy to either volatile or steady markets.
- Smoothing Method : Adjust smoothing to speed up or slow down responsiveness.
- Deviation Multiplier : Tight or wide bands adjust the sensitivity of signals.
Features and Parameters:
- Source : Choose between Close, Open, High, Low, HL2, etc.
- Average Type : Options include SMA, EMA, HMA, DEMA, TEMA, RMA, FRAMA.
- ATR Period : Defines how ATR volatility is measured.
- BB Period : Lookback length for Bollinger Band construction.
- Deviation : Multiplier for the standard deviation in Bollinger Bands.
- Smoothing Period : Controls how much the source data is smoothed.
- ATR Filter On/Off : Enables or disables ATR integration in signal calculation.
Specifications:
Smoothing (MA Types)
Smoothing is essential to reduce chart noise. By offering multiple MA choices, traders can balance between lag (SMA, RMA) and responsiveness (EMA, HMA, FRAMA). This flexibility allows the indicator to adapt across asset classes and trading styles.
Bollinger Bands
Bollinger Bands measure price deviation around a moving average. They help identify volatility expansion and contraction. In this script, the bands serve as breakout triggers—price crossing outside suggests momentum strong enough to sustain a trend.
Standard Deviation
Standard Deviation is a statistical measure that quantifies the dispersion of price data around the mean. With a multiplier applied, it creates bands that contain a probabilistic portion of price action. Crossing beyond these suggests a higher likelihood of trend continuation.
ATR (Average True Range)
ATR measures the degree of volatility. Instead of simply reacting to price crossing the bands, ATR ensures the trend line placement adapts to current conditions. In volatile markets, wider buffers prevent premature signals; in calmer markets, tighter placement keeps signals responsive.
Trend Line Logic
The trend line only adjusts in the direction of the trend. If new values do not exceed the prior, the line remains unchanged. This prevents false reversals and makes the line a reliable visual confirmation of trend direction.
Signal Detection
The indicator does not repaint: signals are based on confirmed closes relative to the Bollinger Bands. This makes it more reliable for both live trading and backtesting scenarios.
Visual Enhancements
The use of dual plots and fill shading creates a clearer separation of bullish vs. bearish phases. This helps traders visually align entries and exits without second-guessing.
Enjoy!
Pro BTB Pour Samadi Indicator [TradingFinder] Back To Breakeven🔵 Introduction
The Pro BTB (Professional Back To Breakeven) strategy is one of the most advanced price action setups, designed and taught by Mohammad Ali Poursamadi, an international Iranian trader and a well-known instructor of financial market analysis.
The main logic of this strategy is based on the natural behavior of the market :
Breakout of a key level: Price moves beyond an important support or resistance.
Retest / Back To Breakeven: Price returns to the broken level.
Continuation of the main trend: Entry at this point allows alignment with the dominant market direction.
To better understand Pro BTB, it is necessary to first know the concept of a Spike. A spike refers to a sudden and powerful movement of price in one direction, usually caused by heavy order flow. Such a move creates an Imbalance between buyers and sellers. Because the market does not have enough time to distribute orders fairly, it leaves an Inefficiency on the chart.
The direct result of this process is the formation of a Fair Value Gap (FVG) a gap between candles that shows trades were not distributed evenly. In simple terms: the spike is the cause, and Imbalance, Inefficiency, and FVG are its consequences.
In practice, Pro BTB works effectively in both bullish and bearish structures. In a Bullish Setup, a bullish spike first breaks a resistance level. Then, when price returns to that same level, a safe and low-risk buying opportunity is created. Conversely, in a Bearish Setup, a bearish spike breaks a support level, and when price comes back to the broken level, it provides the best conditions for a short entry. These two examples illustrate how Pro BTB logic provides precise, low-risk entries in both directions of the market.
🔵 How to Use
The Pro BTB (Back To Breakeven) strategy allows traders to enter precisely after price returns to the breakout level; this way the entry aligns with the natural market flow while risk is minimized. In practice, this method is simple yet powerful: first, identify a valid breakout on a key level, then wait for price to return to that level, and finally, take the entry in the direction of the main trend.
🟣 Bullish Setup
When a bullish spike occurs and a key resistance is broken, price usually returns to the same level. This level, now acting as support, provides the best opportunity for a long entry. In this scenario, the stop-loss is placed behind the breakout candle or slightly below the broken level, and the take-profit target should be defined with at least a 1:2 risk-to-reward ratio. With strong momentum, higher targets can also be considered.
🟣 Bearish Setup
In a bearish scenario, a bearish spike breaks a key support. After the breakout, price usually returns to the same level, which now acts as resistance. This creates the best conditions for a short entry. The stop-loss is placed behind the breakout candle or slightly above the broken level, while the take-profit target is set with a risk-to-reward ratio greater than 1:2.
🟣 General Rules of Pro BTB
To apply Pro BTB correctly, several key rules must be followed :
The breakout must be valid and occur on a key level.
Always wait for the retest; do not enter immediately after the breakout.
Entry should only happen when price touches the broken level and shows candlestick confirmation.
The stop-loss (SL) must be placed behind the breakout candle or the broken level.
The take-profit (TP) must always be at least twice the trade risk.
For higher reliability, the breakout should align with the trend on higher timeframes.
🟣 Six Entry Methods in Pro BTB
For greater flexibility, Pro BTB offers six standard entry methods :
Market Entry : Enter immediately at the breakout level.
Limit Order : Place a limit order on the breakout level.
Stop Order : Enter only after confirmation of continuation.
Confirmation Candle : Enter after a confirmation candle closes on the level.
Pattern Entry : Enter based on candlestick patterns such as Pin Bar or Engulfing.
Zone Entry : Enter from a zone instead of an exact point to account for market noise.
🔵 Setting
🟣 Spike Filter | Movement
Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike.
Movement Power : Enables or disables the momentum-based spike filter.
Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes.
🟣 Spike Filter | Gap
Gap Filter : Enables or disables the gap filter.
Gap Type : Selects which type of gap should be detected (All Gaps, Significant, Structural, Major).
🟣 Spike Filter | Doji
Doji Tolerance : Defines whether doji candles are allowed within a spike.
Max Doji Body Ratio : Maximum ratio of body-to-total candle size for classifying a candle as a doji.
Max Doji in Spike Ratio : Maximum percentage of doji candles allowed within a spike.
🟣 Position Management
Stop-Loss Threshold : Enables or disables the stop-loss threshold feature.
Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management.
Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2).
Include SL Threshold in R:R : Determines whether the stop-loss threshold is included in risk-to-reward calculations.
🟣 Display Settings
Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals).
Show Entry Levels: Displays entry levels on the chart (buy/sell zones) when enabled
Only Display the Last Position : Displays only the most recent position on the chart when enabled.
Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility.
🟣 Alert
Alert : Enables alert notifications. When turned on, you can set TradingView alerts to receive notifications once the setup or signal conditions are met
🔵 Conclusion
The Pro BTB (Back To Breakeven) strategy is a smart and structured entry method based on natural market behavior after a breakout and retest of the broken level. It helps traders avoid emotional, high-risk entries by waiting for market confirmation and entering precisely at a point that aligns with the main trend and sits closest to the key level.
The simplicity of its rules, flexibility in entry methods, and a risk-to-reward ratio above 2 have made Pro BTB one of the most popular tools among price action traders. Nevertheless, as with any strategy, it is recommended to practice it in demo accounts or through personal backtesting before applying it to real trading, in order to find the entry conditions that best suit your trading style.
VWAP CloudVWAP Cloud
– Dynamic Fair Value Zones with Standard Deviation Envelopes
This script combines a Volume-Weighted Average Price (VWAP) baseline with standard deviation envelopes to create a dynamic "VWAP Cloud."
The VWAP itself is a widely used fair-value benchmark, showing where trading activity is most concentrated relative to price. By adding volatility-based bands around it, this tool helps traders visualize how far price has moved away from VWAP and whether those deviations may represent normal fluctuations or potential extremes.
🔎 How the Components Work Together
VWAP Midline (optional): Provides the session or rolling fair value reference.
Inner Cloud (±1 standard deviation by default): Highlights areas where price is oscillating near VWAP. This zone often reflects balanced conditions, where price is neither excessively stretched nor deeply discounted relative to volume-weighted value.
Outer Cloud (±2 standard deviations by default): Marks wider volatility extremes. These can be used to study how price reacts to statistically significant deviations from VWAP—whether by consolidating, reverting, or extending trends.
Dynamic Coloring: The cloud adjusts color based on VWAP slope. A rising VWAP is shaded green, suggesting positive momentum, while a falling VWAP is shaded red, suggesting negative momentum. Neutral gray highlights the outer envelope to distinguish extreme zones.
⚙️ Inputs & Customization
Source: Select the price type for VWAP calculation (default: hlc3).
Session Reset: Choose between daily resetting VWAP (common for intraday strategies) or a rolling VWAP (continuous view).
Standard Deviation Lookback: Controls the sample window for volatility calculation.
Band Multipliers: Adjust the width of inner and outer clouds.
Midline Toggle: Show or hide the VWAP midline depending on chart preference.
Custom Colors: Configure bullish, bearish, and neutral shading to match your charting style.
📊 How to Use
Trend Context: Price trading above VWAP generally suggests bullish conditions, while trading below suggests bearish conditions.
Value Zones: The inner cloud helps visualize short-term balance around VWAP.
Volatility Extremes: The outer cloud highlights statistically stretched moves that traders may analyze for either continuation or mean-reversion opportunities.
Scalping, Day Trading, Swing Trading: The tool adapts to different styles, depending on whether you reset VWAP each session or use the rolling version.
⚠️ Notes
This script is for educational purposes only and should be combined with other confluence factors, proper risk management, and a trading plan.
It does not generate buy/sell signals on its own. Instead, it provides a framework to study price behavior relative to a dynamic VWAP-based fair value.
Please clean your chart of unrelated drawings/indicators before applying, so the plotted clouds and midline remain clear.
⚪ Liquidity Spike Marker
Description:
The Liquidity Spike Marker indicator helps to identify abnormal bursts of liquidity in the market. The logic is based on comparing the product of the volume by the minimum candle price (Volume × Low) with the threshold value set by the user.
When the value exceeds the threshold, a white triangle appears under the candle, indicating a possible influx of liquidity. This can help traders pay attention to the key points where large participants may enter the market.
Features:
Displays a placemark (⚪ white triangle) when the threshold is exceeded.
Configurable parameter Volume × Low Threshold.
The ability to set an alert for automatic notification.
A lightweight and minimalistic tool without unnecessary elements.
Note: The indicator is not a trading recommendation. Use it in combination with your own trading system and other analysis methods.
