EMA Squeeze Alert (ADR Filter)This indicators is for Pine Screener. You could use it on Pine Screener to filter out stocks with EMAs Convergence.
The EMAs used are EMA 9, EMA 12 and EMA 20.
When the current closing price is within 50% of 20-days ADR% from these three EMAs, it would give you an alert signal.
The way to use it is to apply it onto the Pine Screener.
You then select the watchlist you would like to filter out, and check the alert signal to True, and click scan.
If Condition is True, the candlesticks would have a green arrow below and the background is highlighted.
The script is published, feel free to amend it as you like
Have a Nice Day, and Trade Safe !
Candlestick analysis
Smart Money Concepts [LuxAlgo]-fixedSmart Money Concepts -fixed, not working intially but modified to get this script working.
MATT 4This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
MATT 1This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
Teril Second Candle Cross Alert (Intrabar)Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Teril Second Candle Cross Alert
Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papua )Ultra-Fast Scalp Predictor - By Herman Sangivera ( Papuan Trader )
Overview
Ultra-Fast Scalp Predictor is a high-speed technical indicator specifically engineered for scalpers and day traders. Built on Pine Script V6, this tool specializes in identifying "Squeeze" phases—periods of market compression—and predicting the direction of the upcoming "explosion" before it happens.
The Problem It Solves
Most scalping indicators suffer from two issues: they are either too slow (Lagging) or too sensitive (Fake Signals). This script solves both by using a "Preparation -> Prediction -> Execution" workflow.
How It Works
Phase 1: Squeeze Detection (The Setup) The script monitors the volatility "coil" using Bollinger Bands and Keltner Channels. A Gray Background indicates a Squeeze. This is where the market is sideways, building energy.
Phase 2: Momentum Velocity (The Prediction) While the price is still sideways, the script uses Linear Regression Momentum and Price Velocity.
Aqua Circle (Early Ready Up): Momentum is shifting bullish inside the squeeze.
Orange Circle (Early Ready Down): Momentum is shifting bearish inside the squeeze.
Phase 3: Fast Breakout (The Execution) Once the squeeze "fires" and price crosses the bands, the script triggers a FAST BUY or FAST SELL signal.
Key Features
No-Lag HMA: Uses a 12-period Hull Moving Average for ultra-responsive trend tracking.
Squeeze Logic: Prevents you from overtrading in a "dead" market.
Predictive Signals: The "Early Ready" dots give you a split-second advantage over other traders.
Visual Clarity: Clean labels and shapes designed for 1-minute and 5-minute timeframes.
How to Trade with This Indicator
Step 1 (The Wait): Wait for the gray background (Squeeze).
Step 2 (The Hint): Look for the Aqua or Orange dots. These are your "get ready" warnings.
Step 3 (The Entry): Enter as soon as the FAST BUY (Lime) or FAST SELL (Red) triangle appears.
Step 4 (The Exit): Exit when the HMA line changes color or use a 1:1.5 ATR-based risk/reward ratio.
Settings Explained
Fast HMA Length: Default is 12. Lower = Faster, Higher = Smoother.
Squeeze Length: Default is 20. Controls how sensitive the sideways detection is.
Multipliers: Adjust the BB and KC multipliers to tighten or loosen the breakout sensitivity.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis, not replace sound risk management. Always backtest on a demo account before trading live.
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Terilss final EMA 20 Body Cross + 1:1 RR AlertEMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
EMA 20 Body Cross
ORB 369 - Opening Range Breakout The ORB 369 is a professional-grade momentum indicator designed to capture the volatility of the New York market open. While many Opening Range Breakout (ORB) scripts simply draw lines, this script integrates time-segmented price action with Supply and Demand (S/D) theory to filter out "fakeouts" and identify high-probability institutional entries.
💡 The Core Concept: Why 3-6-9?
The strategy is rooted in the "Market Open Volatility" principle. The first 15 minutes (9:30–9:45 AM EST) represent the period where institutional orders are processed and "price discovery" is most aggressive.
The Range: We define the 15-minute high and low as the "Battlefield."
The 369 Logic: This script focuses on the 3rd 5-minute candle of the session (completing the 15m range) and monitors the subsequent 5m and 15m cycles for a definitive trend shift.
🛠️ How It Works
The script utilizes Pine Script v6 high-precision time-tracking and state-handling to ensure accuracy even on historical data.
1. Dynamic Session Anchoring
Unlike static indicators, this script uses America/New_York timezone anchoring. It identifies the Opening Range (OR) regardless of your local time, ensuring you are aligned with the NYSE floor traders.
2. Supply & Demand Detection
The script doesn't just look at the high/low; it analyzes the micro-structure within that 15-minute window.
It identifies unmitigated zones (areas where price moved so fast it left "imbalances").
If a breakout occurs but price immediately hits an internal S/D zone, it warns the trader of a potential "Look Above and Fail" scenario.
3. Breakout Confirmation (5m Logic)
A common mistake is entering on a "wick." This script uses Closing Logic:
Bullish Signal: A 5-minute candle must close entirely above the 15m High.
Bearish Signal: A 5-minute candle must close entirely below the 15m Low.
The script then repaints the candle body (defaulting to Blue/Red) to provide an instant visual cue that the "Breakout is Confirmed."
📈 How to Use It
Wait for the Box: At 9:45 AM EST, the script will automatically lock in the High, Low, and Midpoint (Mean) of the range.
Monitor the Midpoint: The Midpoint acts as the "Line in the Sand." If a breakout occurs but price stays near the Midpoint, the trend is weak. If price stays in the upper half of the range, the Bullish bias is stronger.
The Entry: Wait for the Candle Color Change. A blue candle above the range suggests a long entry; a red candle below suggests a short.
Supply/Demand Zones: If the script highlights a "Demand Zone" at the bottom of the range and price bounces off it before breaking the top, this provides a "double-confluence" setup.
⚙️ Technical Features
Customizable Aesthetics: Use the Settings menu to change the breakout colors (Green/Blue/Red) to match your personal chart theme.
Smart Tooltips: Hover over the inputs in the settings to see detailed explanations of what each parameter does.
Alert Ready: Built-in alerts for "Bullish Breakout" and "Bearish Breakout" that can be sent directly to your phone or desktop via TradingView.
CSS Reversal - VAThis indicator identifies a price action reversal pattern known as CSS (Candle Stop Setup). Unlike standard 3-candle patterns, this logic is dynamic and "hunts" for the true peak or valley before confirming a shift in momentum.
Core Logic & Rules
The script follows a specific sequence of "Initiation, Waiting, and Triggering" to ensure it captures high-probability reversals:
1. Initiation (The Sweep): The process starts when a candle (the Pivot) sweeps the liquidity of the previous candle.
Bearish: Candle 2 makes a higher high than Candle 1.
Bullish: Candle 2 makes a lower low than Candle 1.
2. Identifying the Extreme: The script tracks the absolute highest high (for bearish) or lowest low (for bullish) during the setup. If a subsequent candle goes higher/lower without triggering a close, the "mark" moves to that new extreme candle.
3. The Waiting Room (Inside Bars): The setup remains active even if several candles follow that do not break out of the Pivot's range. The script can wait indefinitely (e.g., 3, 4, or 5+ candles) as long as the original extreme is not breached.
4. The Trigger (The Confirmation): A signal is only confirmed when a candle closes past the opposite side of the extreme candle's body.
Bearish Trigger: A candle closes below the Low of the highest candle.
Bullish Trigger: A candle closes above the High of the lowest candle.
5. Retrospective Marking: Once the trigger close occurs, the script automatically places a visual marker (arrow) on the actual extreme candle (the peak or valley), even if that candle occurred several bars ago.
Visual Indicators
Red Arrow (↓): Placed at the high of the highest candle in a confirmed bearish reversal.
Green Arrow (↑): Placed at the low of the lowest candle in a confirmed bullish reversal.
Use Cases
This script is designed for traders who look for Liquidity Sweeps and Market Structure Shifts. It filters out "fake" reversals where price merely wicks past a level without a solid closing confirmation, and it specifically accounts for "inside bar" periods where price consolidates before making its move.
Engulfing Candle Mid-pointsThis Pine Script, “Engulfing Candle Mid-points,” identifies bullish and bearish engulfing candles within a user-selected intraday time range. For a candle to qualify, it must fully engulf the previous candle’s body in the opposite direction and meet a configurable minimum body size in points. When such a candle is detected, the script draws a horizontal line at the mid-point of the candle’s body, extending forward for a user-defined number of bars. The script stores only the five most recent bullish and bearish lines to keep the chart clean, and all line colors, widths, and extension lengths are configurable, allowing traders to visually track significant price moves during specific trading sessions.
Crypto MMFCrypto MMF Indicator:
The Crypto Money Flow (MMF) indicator represents an advanced technical analysis tool specifically designed for cryptocurrency markets. This document outlines the logical foundation for its component integration, explains the synergistic mechanisms between its constituent elements, and provides practical implementation guidance without making unrealistic performance claims.
Integration Rationale
Volume-Weighted Momentum Analysis
The primary integration rationale combines price momentum with trading volume—two fundamental market dimensions frequently analyzed in isolation. Traditional momentum oscillators like RSI measure price velocity but ignore transaction volume, potentially misrepresenting conviction behind price movements. By multiplying price changes by corresponding volume, the indicator creates a conviction-weighted momentum measure that distinguishes between high-volume breakouts and low-volume price fluctuations.
The theoretical foundation for this integration stems from market microstructure theory, which posits that volume accompanies informed trading. In cryptocurrency markets—where volatility is pronounced and manipulation attempts occur—volume confirmation provides valuable filtering of meaningful price movements from noise.
Multi-Timeframe Momentum Convergence
The second integration layer incorporates higher timeframe analysis, acknowledging that markets function across temporal hierarchies. While shorter timeframes offer precision for entry and exit timing, longer timeframes establish directional bias and filter out insignificant counter-trend movements. This multi-timeframe approach follows established technical analysis principles that prioritize trend alignment across time horizons.
This integration is particularly relevant for cryptocurrency traders, as these markets exhibit strong momentum characteristics where higher timeframe trends often dominate shorter-term fluctuations. The higher timeframe component serves as both a trend filter and early warning system for momentum divergences.
Component Synergy Mechanism
Core Calculation Components
Price-Volume Integration Engine
The indicator begins by calculating the average of open, high, low, and close prices (OHLC4), providing a balanced price representation less susceptible to intra-period anomalies. This value undergoes differencing to establish direction, then multiplies by volume to create volume-weighted momentum values. This transformation produces two separate data streams: upward volume-weighted momentum and downward volume-weighted momentum.
Exponential Smoothing Application
Both momentum streams undergo exponential smoothing using Wilder's Relative Moving Average methodology. This approach applies greater weight to recent observations while maintaining memory of historical patterns, striking an optimal balance between responsiveness and noise reduction. The smoothed upward and downward momentum values create a ratio representing the relative strength between buying and selling pressure.
Normalization Process
The momentum ratio undergoes mathematical normalization to produce a bounded oscillator ranging from 0 to 100. This normalization enables consistent interpretation across different market conditions, timeframes, and cryptocurrency pairs, establishing standardized overbought and oversold thresholds.
Multi-Timeframe Synchronization System
Hierarchical Timeframe Calculation
The indicator dynamically determines appropriate higher timeframes based on user-defined multipliers and current chart intervals. This automated calculation eliminates manual timeframe selection errors while ensuring logical temporal relationships between analyzed periods.
Cross-Timeframe Data Retrieval
A secure data retrieval mechanism accesses higher timeframe momentum calculations without introducing future bias or repainting. This process maintains data integrity while enabling direct comparison between current and higher timeframe momentum conditions.
Higher Timeframe Smoothing Layer
An additional exponential moving average smooths the higher timeframe data, reducing noise and creating a stable reference signal for divergence analysis. This smoothing parameter is independently adjustable, allowing users to balance sensitivity and stability according to their trading style.
Signal Generation Framework
Threshold-Based Zone Analysis
The indicator establishes three operational zones based on statistical observations of momentum extremes:
Neutral zone (25-75): Represents balanced market conditions
Lower extreme zone (0-25): Indicates potential oversold conditions
Upper extreme zone (75-100): Indicates potential overbought conditions
These threshold levels derive from empirical observations of momentum oscillator behavior in trending and ranging cryptocurrency markets, though optimal values may vary across different market regimes.
Conditional Signal Categorization
The system monitors four distinct momentum conditions:
Initial extreme readings: Momentum enters extreme zones without confirmation
Confirmed extremes: Smoothed momentum follows into extreme zones
Multi-timeframe alignment: Current and higher timeframe momentum move in concert
Multi-timeframe divergence: Current and higher timeframe momentum diverge
Each condition category carries different interpretive implications, with stronger signals emerging when multiple conditions converge.
Practical Implementation Guidelines
Functional Applications
Trend Confirmation Protocol
When price trends directionally with momentum maintaining consistent readings above or below the midpoint (50), and higher timeframe momentum confirms the direction, this suggests sustainable trend conditions. The volume-weighting component further validates whether significant trading activity supports the price movement.
Divergence Detection Methodology
Three divergence types merit monitoring:
Classic divergence: Price reaches new extremes while momentum fails to confirm
Hidden divergence: Price retraces within a trend while momentum suggests trend continuation
Timeframe divergence: Momentum moves opposite directions across timeframes
Divergence analysis proves most reliable when occurring in conjunction with other technical factors such as support/resistance levels or chart patterns.
Zone-Based Risk Assessment
The oscillator's bounded nature facilitates structured risk assessment:
Extreme zone entries: Higher potential reward but require confirmation
Neutral zone movements: Lower signal clarity but potentially favorable risk-reward ratios
Zone transitions: Often precede accelerated price movements
Parameter Configuration Philosophy
Core Parameter Settings
The default parameters balance responsiveness and reliability across diverse cryptocurrency market conditions. The 14-period calculation length aligns with conventional momentum oscillator standards, providing sufficient data for meaningful smoothing while maintaining sensitivity to recent market developments.
Multi-Timeframe Multiplier Selection
The default 3x multiplier creates meaningful temporal separation without introducing excessive lag. This multiplier proves particularly effective for swing trading horizons, though position traders may benefit from larger multipliers while shorter-term traders might reduce this value.
Smoothing Parameter Considerations
Dual smoothing parameters (primary and higher timeframe) allow independent adjustment of sensitivity. More volatile cryptocurrency pairs typically benefit from increased smoothing, while less volatile conditions may permit reduced smoothing for earlier signal generation.
Interpretation Protocol
Step 1: Momentum Context Assessment
Begin analysis by determining the current momentum context:
Absolute level relative to threshold zones
Direction and velocity of recent momentum changes
Relationship to the midpoint (50) level
Step 2: Timeframe Alignment Evaluation
Compare current and higher timeframe momentum:
Confirm directional alignment for trend trading
Identify divergences for potential reversal scenarios
Assess convergence strength for position sizing decisions
Step 3: Volume Confirmation Analysis
Evaluate whether recent volume patterns support momentum readings:
Extreme momentum with declining volume: Caution warranted
Neutral momentum with increasing volume: Potential breakout precursor
Confirmed momentum with expanding volume: Higher conviction signal
Step 4: Market Context Integration
Correlate momentum readings with broader market context:
Correlated cryptocurrency movements
Overall market capitalization trends
Relevant news or fundamental developments
Originality and Differentiation
Innovative Design Elements
Volume-Integrated Momentum Calculation
Unlike conventional momentum oscillators that analyze price in isolation, this indicator integrates volume as a conviction multiplier. This integration follows logical market principles where volume validates price movements, creating a more robust momentum assessment particularly valuable in cryptocurrency markets where volume manipulation attempts occasionally occur.
Dynamic Timeframe Adaptation
The automated timeframe calculation system eliminates manual timeframe selection while ensuring logical temporal relationships. This approach reduces user error and maintains consistency across different charting intervals and trading instruments.
Multi-Layer Confirmation Framework
The indicator employs three analytical layers: raw momentum, smoothed momentum, and higher timeframe momentum. This layered approach provides graduated confirmation levels, allowing traders to distinguish between preliminary signals and confirmed conditions.
Theoretical Foundations
The indicator's design incorporates elements from multiple technical analysis disciplines:
Momentum analysis principles from oscillator theory
Volume-price relationships from market microstructure
Multi-timeframe analysis from hierarchical trend theory
Statistical normalization from quantitative analysis
This interdisciplinary approach creates a comprehensive tool addressing multiple dimensions of market analysis rather than focusing on isolated phenomena.
Risk Management Integration
Signal Quality Assessment
The indicator facilitates signal quality evaluation through multiple confirmation requirements:
Primary momentum extreme reading
Smoothed momentum confirmation
Higher timeframe alignment or constructive divergence
Supporting volume characteristics
Signal strength varies with the number of confirmed elements, enabling proportionate position sizing and risk allocation.
False Signal Mitigation
Several design elements reduce false signal susceptibility:
Volume-weighting filters low-conviction price movements
Exponential smoothing reduces noise-induced fluctuations
Multi-timeframe analysis filters counter-trend movements
Graduated confirmation requirements prevent premature action
These mechanisms collectively improve signal reliability while acknowledging that no technical indicator eliminates false signals entirely.
Implementation Considerations
Cryptocurrency Market Specificity
The indicator incorporates design elements particularly relevant to cryptocurrency markets:
24/7 market operation accommodation
High volatility regime compatibility
Volume data availability considerations
Cross-market correlation awareness
These adaptations enhance effectiveness in cryptocurrency trading environments while maintaining applicability to traditional financial markets.
Customization Guidelines
Users may adjust parameters based on:
Trading timeframe (scalping, day trading, swing trading)
Cryptocurrency pair characteristics (volatility, volume profile)
Risk tolerance and trading style
Market regime (trending, ranging, transitional)
Empirical testing across different parameter sets and market conditions provides the most reliable customization guidance.
Conclusion
The Crypto MMF indicator represents a logically integrated analytical tool combining volume-weighted momentum analysis with multi-timeframe perspective. Its component synergy creates a comprehensive market assessment framework while maintaining practical implementation feasibility. Users should integrate this tool within broader trading methodologies, combining its signals with additional technical, fundamental, and risk management considerations.
The indicator's value derives from its structured approach to market analysis rather than predictive capabilities. By providing organized information about momentum, volume relationships, and timeframe interactions, it supports informed trading decisions within appropriate risk parameters.
Empty Candle//@version=5
indicator("5–6 signals per day (Stable)", overlay=true)
// ─────── Inputs ───────
emaLen = input.int(50, "EMA Length", minval=10)
rsiLen = input.int(14, "RSI Length", minval=5)
volMult = input.float(1.3, "Volume multiplier", minval=1.0, step=0.1)
rsiOverb = input.int(65, "RSI Overbought", minval=50, maxval=90)
rsiOvers = input.int(35, "RSI Oversold", minval=10, maxval=50)
// ─────── Calculations ───────
ema = ta.ema(close, emaLen)
rsi = ta.rsi(close, rsiLen)
volMA = ta.sma(volume, 20)
// ─────── Trend ───────
bullTrend = close > ema
bearTrend = close < ema
volSpike = volume > volMA * volMult
// ─────── Base conditions ───────
baseBuy = bullTrend and rsi < rsiOvers and volSpike and close > open
baseSell = bearTrend and rsi > rsiOverb and volSpike and close < open
// ─────── EMA press logic ───────
emaPressBuy = close > open and open < ema and close > ema
emaPressSell = close < open and open > ema and close < ema
// ─────── Final signals ───────
buyCond = baseBuy or emaPressBuy
sellCond = baseSell or emaPressSell
// ─────── Signals (STRICTLY BAR-ANCHORED) ───────
plotshape(
buyCond,
title="BUY",
style=shape.triangleup,
location=location.belowbar,
color=color.lime,
size=size.small
)
plotshape(
sellCond,
title="SELL",
style=shape.triangledown,
location=location.abovebar,
color=color.red,
size=size.small
)
// ─────── EMA ───────
plot(ema, title="EMA", color=color.new(color.blue, 30), linewidth=2)
Previous High & LowPrevious High & Low plots key reference levels from higher timeframes directly on your chart to help you spot liquidity targets, support/resistance, and reaction zones faster.
What it shows:
PDH / PDL (Previous Day High & Low): yesterday’s high and low, extended to the end of the current day (works on all timeframes, including low TF).
H-2 / H-3 (1H levels): the high/low from the previous-previous hour (H-2) and an optional extra set (H-3) for additional intraday context. These lines are limited up to the current candle.
H4-1 / H4-2 (4H levels): the high/low of the previous 4-hour candle (H4-1) and the previous-previous 4-hour candle (H4-2), also limited up to the current candle.
Customization:
Toggle each group on/off (PDH/PDL, H-2, H-3, H4-1, H4-2)
Fully style lines (color, width, solid/dashed/dotted)
Optional labels for each level
How to use:
Use these levels as “areas of interest” for breakouts, pullbacks, stop runs/liquidity sweeps, and mean-reversion reactions—especially around PDH/PDL and prior 4H/1H extremes.
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Pro HTF Last-Closed Levels (D / 4H / 1H) This is OHLC lines per one and 4 hour to track levels. simple and easy
Intraday Time-of-Day RVOL (histogram)intraday relative volume indicator, which can use for measuring the strength of breakout
Terilsss Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break AlertSecond Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Second Same Color Candle Break Alert
Impulse Move FVG TrackerThis script identifies strong directional impulse moves and automatically plots Fair Value Gaps (FVGs) only in locations that are contextually relevant to those moves. It tracks consecutive candle bodies to determine when a large move up or down has occurred, calculates the midpoint of that impulse, and then displays bullish FVGs above the midpoint after strong upward moves and bearish FVGs below the midpoint after strong downward moves. The script operates only within a user-selected, scrollable time-of-day window and allows full control over FVG colors, extension length, minimum impulse size, and how many of the most recent FVGs remain on the chart. It is designed to reduce noise by showing FVGs only where price displacement suggests meaningful imbalance rather than marking every gap indiscriminately.
Candle Size Table (Big Font & Colors)Symbols: gold, oil, BTC, silver, USDJPY, GBPUSD, USDCAD, AUDUSD
Timeframes: 1m and 5m
Size of the previous candle (for each TF)
I’ll assume “size” = candle range (high − low) of the previous closed candle.
Full Dashboard V18 - Pro PA & Column CustomizationTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
- can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)






















