Exhaustion IndicatorThe ScalpSQZ indicator is designed to identify four critical market states using volatility structure, momentum behavior, and exhaustion conditions. It enhances scalping precision by visually marking transitions between consolidation, squeeze conditions, and momentum reversals through color-coded candles.
1. Squeeze Conditions (Orange Candles)
Orange candles highlight volatility compression, detected when Bollinger Bands contract inside the Keltner Channels. This structure signals that market volatility is tightening and a significant expansion move is likely to follow. The squeeze represents a pre-breakout environment and serves as the earliest warning of a potential directional shift.
2. Consolidation Conditions (Yellow Candles)
Yellow candles identify phases of low directional momentum. These conditions occur when RSI remains near neutral values, MACD histogram activity is minimal, and the Rate of Change stays muted. This combination indicates that the market is balanced and non-trending, often preceding a volatility spike or a new trend. Consolidation helps traders avoid low-probability entries during indecisive price action.
3. Momentum Exhaustion — Overbought Fade (White Candles)
White candles signal potential top-side exhaustion. This occurs when RSI enters overbought territory while the MACD histogram begins to weaken compared to the previous bar. This condition does not necessarily call a reversal but warns that bullish momentum is deteriorating and upside continuation may be limited. It is particularly useful for identifying trend fatigue and tightening stop-loss placement.
4. Momentum Exhaustion — Oversold Fade (Purple Candles)
Purple candles identify bottom-side exhaustion and appear when RSI reaches oversold levels, MACD momentum begins improving, and the current close shows buyer defense relative to the previous low. This condition suggests selling pressure is diminishing and a potential reversal or relief bounce may be forming. Purple candles serve as an early indication of bearish trend exhaustion.
Color Priority System
The indicator follows a fixed hierarchy to ensure clarity:
Squeeze (orange) has the highest priority, followed by consolidation (yellow). Exhaustion signals (white for tops, purple for bottoms) apply only when no squeeze or consolidation conditions are active. This structure ensures that the most critical market states are always highlighted first.
Purpose and Application
ScalpSQZ helps traders identify optimal environments for breakouts, anticipate trend exhaustion, and avoid low-quality trades during choppy or low-momentum conditions. It is suitable for scalping, day trading, and swing trading across any asset class or timeframe.
Indikatoren und Strategien
FANBLASTERFANBLASTER
Methodology & Rules (Live Trading Version)
Purpose
Catch the exact moment the market flips from chop into a high-conviction trending move using a clean, stacked Fib EMA ribbon + volatility + volume confirmation.
Core Idea
When the 5-8-13-21-34-55 EMA stack suddenly “fans out” in perfect order with significant separation, a real trend is being born. Most retail traders chase late – FANBLASTER alerts you on the very first bar the fan opens.
What Triggers a “FAN BLAST” Alert
Perfect EMA Alignment
Bullish: 5 > 8 > 13 > 21 > 34 > 55
Bearish: 5 < 8 < 13 < 21 < 34 < 55
(Has to flip from NOT aligned on the previous bar → aligned on this bar)
Significant Separation
Distance between EMA 5 and EMA 55 ≥ 1.3 × ATR(14)
(1.3 is the ES sweet spot – filters fake little wiggles)
Trend Strength Confirmation
ADX(14) ≥ 22
(Ensures the move isn’t just noise; ES trends explode while ADX is still climbing)
Volume Conviction
Current volume > 1.4 × 20-period EMA of volume
(Real moves have real participation)
When ALL FOUR conditions are true on the same bar → you get the green or red circle + phone alert.
How to Trade It (Live Rules)
Alert fires → look at the chart immediately
If price is pulling back to the 8 or 13 EMA in the direction of the fan → enter on touch or close above/below
Initial stop: opposite side of the fan (below the 55 for longs, above the 55 for shorts)
Target: 2–4 R minimum, trail with the 21 or 34 once in profit
No alert = stay flat. This is a “trend birth” sniper, not a scalping tool.
Best Instruments & Timeframes (2025)
ES & NQ futures
2 min, 5 min, 15 min (all work with the exact same settings)
Works on MES/MNQ too (same params)
Bottom Line
FANBLASTER sits silent 90 % of the day and only screams when the market is actually about to run 20–100+ points.
One alert = one high-probability trend. That’s it.
Lock it, load it, and let the phone do the hunting.
Good luck, stay disciplined, and stack those points.
— Your edge is now live.
Smart Scalper V7 [Churn Filter]Indicator uses relative volume by time as well as ADX to highlight if volume is high to prevent trading in chop or being faked out.
Dec 1
Release Notes
How to Read the "Traffic Light" 🚦
You asked: "How do I work out if volume is higher or lower?" Look at the White Horizontal Line running across the indicator.
Height (Quantity):
Above the Line: Volume is High (The crowd is here).
Below the Line: Volume is Low (Everyone is at lunch).
Color (Quality):
🟢 Green: High Volume + Strong Trend. (Best for Entries).
🟡 Yellow: High Volume but NO Trend. This is usually a Reversal or a Trap. (Big fight, no winner yet).
🟠 Orange: Trending, but on Low Volume. The price is drifting. Don't trust it—it can snap back easily.
🔴 Red: Low Volume, No Trend. The "Kill Zone." Do not trade.
FluxPulse Momentum [JOAT]FluxPulse Momentum - Adaptive Multi-Component Oscillator
FluxPulse Momentum is a composite oscillator that blends three distinct momentum components into a single, smoothed signal line. Rather than relying on a single indicator, it synthesizes adaptive RSI, normalized rate of change, and a Kaufman-style efficiency ratio to provide a multi-dimensional view of momentum.
What This Indicator Does
Combines RSI, Rate of Change (ROC), and Efficiency Ratio into one weighted composite
Applies EMA smoothing to reduce noise while preserving responsiveness
Displays overbought/oversold zones with optional background highlighting
Generates buy/sell signals when the oscillator crosses its signal line in favorable zones
Provides a real-time dashboard showing current state, momentum direction, and efficiency
Core Components
Adaptive RSI (50% weight) — Standard RSI calculation normalized around the 50 level
Normalized ROC (30% weight) — Rate of change scaled relative to its recent maximum range
Efficiency Ratio (20% weight) — Measures directional movement efficiency, inspired by Kaufman's adaptive concepts
The final composite is smoothed twice using EMA to create both a fast line and a signal line.
Signal Logic
// Buy signal: crossover in lower half
buySignal = ta.crossover(qmo, qmoSmooth) and qmo < 50
// Sell signal: crossunder in upper half
sellSignal = ta.crossunder(qmo, qmoSmooth) and qmo > 50
Signals are generated only when the oscillator is positioned favorably—buy signals occur below the 50 midline, sell signals occur above it.
Dashboard Information
The on-chart table displays:
Current oscillator value with gradient coloring
Momentum state (Overbought, Oversold, Bullish, Bearish, Neutral)
Momentum direction and acceleration
Efficiency ratio percentage
Active signal status
Inputs Overview
RSI Length — Period for RSI calculation (default: 14)
ROC Length — Period for rate of change (default: 10)
Smoothing Length — EMA smoothing period (default: 3)
Overbought/Oversold Levels — Threshold levels for zone detection
Await Bar Confirmation — Wait for bar close before triggering alerts
How to Use It
Watch for crossovers between the main line and signal line
Use overbought/oversold zones to identify potential reversal areas
Monitor the histogram for momentum acceleration or deceleration
Combine with price action analysis for confirmation
Alerts
Buy Signal — Bullish crossover in the lower zone
Sell Signal — Bearish crossunder in the upper zone
Overbought/Oversold Crosses — Level threshold crossings
This indicator is provided for educational purposes. It does not constitute financial advice. Always conduct your own analysis before making trading decisions.
— Made with passion by officialjackofalltrades
RTH Yesterday & Today Premarket Levels## **RTH Yesterday & Today Premarket Levels**
This indicator plots the most commonly used **institutional reference levels** for intraday trading:
* **Yesterday’s Regular Trading Hours (RTH) High**
* **Yesterday’s Regular Trading Hours (RTH) Low**
* **Yesterday’s Regular Trading Hours (RTH) Close**
* **Today’s Premarket High**
* **Today’s Premarket Low**
All levels are drawn as **straight horizontal lines with labels** and remain fixed throughout the current session.
---
### **How Levels Are Calculated**
**Yesterday’s Levels (RTH only)**
* Computed strictly from **Regular Trading Hours (09:30–16:00 exchange time)**.
* Extended-hours data is **excluded** to avoid distortion.
* Captures true institutional highs, lows, and closing price.
**Today’s Premarket Levels (PM only)**
* Computed strictly from **today’s premarket session (04:00–09:29)**.
* Resets daily and does not include prior days.
* Levels finalize once premarket ends and extend across the regular session.
---
### **Key Features**
* Exactly **5 fixed reference levels**, no historical clutter
* **Non-repainting**: levels do not change once established
* **No zig-zags or plots**; only clean horizontal lines
* Customizable **line colors and thickness**
* Labels clearly identify each level:
* Y High
* Y Low
* Y Close
* PM High
* PM Low
---
### **Best Use Cases**
* Intraday trading (1m, 5m, 15m)
* VWAP and momentum strategies
* Gap-and-go or fade setups
* Support/resistance validation
* Options trading and scalping
These levels often act as **decision points, liquidity magnets, and rejection zones** during the regular session.
---
### **Required Settings**
* Use **intraday timeframes**
* Enable **Extended Hours** in TradingView’s symbol settings
* Designed for **US equities** using exchange time
---
### **Trader Notes**
This script is intentionally minimalist. It shows only the **most relevant prior-day and premarket price references** used by professional traders, avoiding noise from multi-day indicators or derived averages.
Fair Value Gap Signals [Kodexius]Fair Value Gap Signals is an advanced market structure tool that automatically detects and tracks Fair Value Gaps (FVGs), evaluates the quality of each gap, and highlights high value reaction zones with visual metrics and signal markers.
The script is designed for traders who focus on liquidity concepts, order flow and mean reversion. It goes beyond basic FVG plotting by continuously monitoring how price interacts with each gap and by quantifying three key aspects of each zone:
-Entry velocity inside the gap
-Volume absorption during tests
-Structural integrity and depth of penetration
The result is a dynamic, information rich visualization of which gaps are being respected, which are being absorbed, and where potential reversals or continuations are most likely to occur.
All visual elements are configurable, including the maximum number of visible gaps per direction, mitigation method (close or wick) and an ATR based filter to ignore insignificant gaps in low volatility environments.
🔹 Features
🔸 Automated Fair Value Gap Detection
The script detects both bullish and bearish FVGs based on classic three candle logic:
Bullish FVG: current low is strictly above the high from two bars ago
Bearish FVG: current high is strictly below the low from two bars ago
🔸 ATR Based Gap Filter
To avoid clutter and low quality signals, the script can ignore very small gaps using an ATR based filter.
🔸Per Gap State Machine and Lifecycle
Each gap is tracked with an internal status:
Fresh: gap has just formed and has not been tested
Testing: price is currently trading inside the gap
Tested: gap was tested and left, waiting for a potential new test
Rejected: price entered the gap and then rejected away from it
Filled: gap is considered fully mitigated and no longer active
This state machine allows the script to distinguish between simple touches, multiple tests and meaningful reversals, and to trigger different alerts accordingly.
🔸 Visual Ranking of Gaps by Metrics
For each active gap, three additional horizontal rank bars are drawn on top of the gap area:
Rank 1 (Vel): maximum entry velocity inside the gap
Rank 2 (Vol): relative test volume compared to average volume
Rank 3 (Dpt): remaining safety of the gap based on maximum penetration depth
These rank bars extend horizontally from the creation bar, and their length is a visual score between 0 and 1, scaled to the age of the gap. Longer bars represent stronger or more favorable conditions.
🔸Signals and Rejection Markers
When a gap shows signs of rejection (price enters the gap and then closes away from it with sufficient activity), the script can print a signal label at the reaction point. These markers summarize the internal metrics of the gap using a tooltip:
-Velocity percentage
-Volume percentage
-Safety score
-Number of tests
🔸 Flexible Mitigation Logic (Close or Wick)
You can choose how mitigation is defined via the Mitigation Method input:
Close: the gap is considered filled only when the closing price crosses the gap boundary
Wick: a full fill is detected as soon as any wick crosses the gap boundary
🔸 Alert Conditions
-New FVG formed
-Price entering a gap (testing)
-Gap fully filled and invalidated
-Rejection signal generated
🔹Calculations
This section summarizes the main calculations used under the hood. Only the core logic is covered.
1. ATR Filter and Gap Size
The script uses a configurable ATR length to filter out small gaps. First the ATR is computed:
float atrVal = ta.atr(atrLength)
Gap size for both directions is then measured:
float gapSizeBull = low - high
float gapSizeBear = low - high
If useAtrFilter is enabled, gaps smaller than atrVal are ignored. This ties the minimum gap size to the current volatility regime.
2. Fair Value Gap Detection
The basic FVG conditions use a three bar structure:
bool fvgBull = low > high
bool fvgBear = high < low
For bullish gaps the script stores:
-top as low of the current bar
-bottom as high
For bearish gaps:
-top as high of the current bar
-bottom as low
This defines the price range that is considered the imbalance area.
3. Depth and Safety Score
Depth measures how far price has penetrated into the gap since its creation. For each bar, the script computes a currentDepth and updates the maximum depth:
float currentDepth = 0.0
if g.isBullish
if l < g.top
currentDepth := g.top - l
else
if h > g.bottom
currentDepth := h - g.bottom
if currentDepth > g.maxDepth
g.maxDepth := currentDepth
The safety score expresses how much of the gap remains intact:
float depthRatio = g.maxDepth / gapSize
float safetyScore = math.max(0.0, 1.0 - depthRatio)
safetyScore near 1: gap is mostly untouched
safetyScore near 0: gap is mostly or fully filled
4. Velocity Metric
Velocity captures how aggressively price moves inside the gap. It is based on the body to range ratio of each bar that trades within the gap and rewards bars that move in the same direction as the gap:
float barRange = h - l
float bodyRatio = math.abs(close - open) / barRange
float directionBonus = 0.0
if g.isBullish and close > open
directionBonus := 0.2
else if not g.isBullish and close < open
directionBonus := 0.2
float currentVelocity = math.min(bodyRatio + directionBonus, 1.0)
The gap keeps track of the strongest observed value:
if currentVelocity > g.maxVelocity
g.maxVelocity := currentVelocity
This maximum is later used as velScore when building the velocity rank bar.
5. Volume Accumulation and Volume Score
While price is trading inside a gap, the script accumulates the traded volume:
if isInside
g.testVolume += volume
It also keeps track of the number of tests and the volume at the start of the first test:
if g.status == "Fresh"
g.status := "Testing"
g.testCount := 1
g.testStartVolume := volume
An average volume is computed using a 20 period SMA:
float volAvg = ta.sma(volume, 20)
The expected volume is approximated as:
float expectedVol = volAvg * math.max(1, (bar_index - g.index) / 2)
The volume score is then:
float volScore = math.min(g.testVolume / expectedVol, 1.0)
This produces a normalized 0 to 1 metric that shows whether the gap has attracted more or less volume than expected over its lifetime.
6. Rank Bar Scaling
All three scores are projected visually along the time axis as horizontal bars. The script uses the age of the gap in bars as the maximum width:
float maxWidth = math.max(bar_index - g.index, 1)
Then each metric is mapped to a bar length:
int len1 = int(math.max(1, maxWidth * velScore))
g.rankBox1.set_right(g.index + len1)
int len2 = int(math.max(1, maxWidth * volScore))
g.rankBox2.set_right(g.index + len2)
int len3 = int(math.max(1, maxWidth * safetyScore))
g.rankBox3.set_right(g.index + len3)
This creates an intuitive visual representation where stronger metrics produce longer rank bars, making it easy to quickly compare the relative quality of multiple FVGs on the chart.
Linechart + Wicks - by SupersonicFXThis is a simple indicator that shows the highs and lows (wicks) on the linechart.
You can vary the colors.
Nothing more to say.
Hope some of you find it useful.
Intermarket Swing Projection [LuxAlgo]The Intermarket Swing Projection allows traders to plot price movement swings from any user-selected asset directly onto the chart in the form of zigzags and/or horizontal support and resistance levels.
This tool rescale the external asset price on the user chart, enabling traders to make direct comparisons.
It answers the question of how different the price behavior is between two assets, accounting for each asset's volatility.
🔶 USAGE
This tool is based on swing detection of two different assets: the chart and a user-selected asset. It allows traders to compare two assets on an equal footing while accounting for volatility and price behavior.
Traders can customize the detection by selecting a custom ticker, timeframe, the number of swings and length for swing detection. This makes the tool a Swiss army knife for asset comparison.
As we can see in the image below, the Show Last, Pivot Length, and Spread parameters are key to defining the final output of the tool.
"Show Last" defines how many pivots are displayed. "Pivot Length" is used for pivot detection; a larger value will detect larger market structures. "Spread" defines how far apart the horizontal levels will be from their original location in terms of volatility.
🔹 Comparing different assets
This image shows the Nasdaq 100 futures contract compared to four other futures contracts: S&P 500, gold, bitcoin, and euro/U.S. dollar.
Plotting all of these assets in Nasdaq 100 terms makes it easy to compare and analyze price behaviors and identify key levels.
In the top left chart, we have NQ vs. ES. It's no surprise that they are practically an exact match; a large portion of the S&P 500 is technology.
In the top right chart, NQ vs. GC, we see totally different behaviors. We can clearly see the summer consolidation in gold and the resumption of the uptrend, which took gold above 29,200 NQ points, up from 21,200.
In the bottom right chart, we see bitcoin making new highs, way above the Nasdaq in May, July, and October. However, the last high was way below the Nasdaq prices on October 27—the first lower high in a while. Sellers are pushing down.
Finally, the bottom left chart is NQ vs. 6E. We can see large volatility in the uptrend since February, with NQ unable to catch up until now. The last swing low was almost a match, and 6E is in a range.
As we can see, this tool allows us to perform intermarket analysis properly by accounting for each asset's volatility and price behavior. Then, we plot them on the same scale on equal terms, which makes performing this kind of analysis easy.
As we can see in the chart above, the assets are the same as in the previous image, but the timeframe is 1H with different settings.
Note the horizontal levels acting as support and resistance, as well as how NQ prices react to the zones marked with white circles. These levels are derived from custom assets selected by the user.
🔹 Displaying Elements
Zig-zag allows traders to clearly see the path that the selected asset's price took, as well as its turning points.
Horizontal levels are displayed from those turning points to the present and can be used as support or resistance. Traders can adjust the spread parameter in the settings panel to expand or contract those levels' volatility.
There are two color modes for the levels: average and pivots. In the first mode, green is used for levels below the average and red for levels above the average. The second uses green for swing lows and red for swing highs.
The backpaint feature is enabled by default and allows the swings to be displayed in the correct location. With this feature disabled, the swings will be displayed in the current location when a new swing is detected.
🔶 DETAILS
On a more technical note, the rescaling is formed by calculating three main elements from all the swings detected on the custom and chart assets:
The chart asset's average of all swing points
The chart asset's standard deviation of all swing points
The custom asset's z-score for each swing point
Then, the re-scaled swing point is calculated as the average plus the z-score multiplied by the standard deviation. This makes it possible to plot AAPL swings on an NQ chart, for example.
Thanks to re-scaling, we can directly compare the price behavior of two assets with different price ranges and volatility on the same chart.
🔶 SETTINGS
🔹 Trendlines
Ticker: Select the custom ticker.
Timeframe: Select a custom timeframe.
Show Last: Select how many swing points to display.
Pivot Length: Select the size for swing point detection.
Spread: Volatility multiplier for horizontal levels. Larger values mean the levels are farther apart.
Backpaint: Enable or disable the backpaint feature. When enabled, the drawings will be displayed where they were detected. When disabled, the drawings will be displayed at the moment of detection.
🔹 Style
Show ZigZag: Enable or disable the ZigZag display and choose a line style.
Show Levels: Enable or disable the levels display and choose a line style.
Color Mode: Choose between Average Mode, which colors all levels below the average bullish and all levels above bearish, and Pivot Mode, which colors swing highs bearish and swing lows bullish.
Bullish: Select a bullish color.
Bearish: Select a bearish color.
ZigZag: Select the ZigZag color.
15 min Trailstop15m High/Low Liquidity Lines (1m) — Indicator Description
15m High/Low Liquidity Lines (1m) is a precision liquidity-mapping tool designed for intraday traders who understand the importance of higher-timeframe liquidity levels while executing on the 1-minute chart.
This indicator automatically detects confirmed 15-minute swing highs and swing lows using pivot logic. When a new 15m high or low forms:
✔ Liquidity Line Generation
A horizontal line is drawn exactly at the price level of the pivot.
The line is anchored to the exact 1-minute candle that produced the 15m high/low, ensuring perfect visual alignment.
The line extends only up to the current bar — not across the whole chart.
Optional text labels (“15m High”, “15m Low”) can be shown at the start of each line.
✔ Auto-Cleanup (Smart Liquidity Sweep Detection)
If price trades through the level, the corresponding line and label are:
Instantly deleted
Marking the level as taken/swept
Allowing the chart to stay clean and focused on active liquidity only
This mimics institutional liquidity logic: once the high or low is violated, the target is considered filled and removed.
✔ Alerts
The indicator includes built-in alerts that fire when:
A new 15m high is confirmed
A new 15m low is confirmed
This allows the trader to react immediately when fresh liquidity levels appear.
✔ Customization Options
You can fully tailor the visual representation:
Turn highs and/or lows on or off
Choose line style (solid, dashed, dotted)
Customize line color and thickness
Customize the label style, size, and transparency
Who Is This For?
This indicator is ideal for:
ICT-style traders
Liquidity-based scalpers
1-minute ES/NQ traders
Anyone who uses HTF liquidity levels to frame trades on the LTF
It provides a clean, automated method to track active 15-minute liquidity levels directly on the 1-minute chart with zero clutter and perfect alignment.
Advanced Confluence DashboardAdvanced Confluence Dashboard - Multi-Indicator Technical Analysis Tool
OVERVIEW
The Advanced Confluence Dashboard is a comprehensive technical analysis tool designed to help traders identify high-probability trade setups by tracking multiple technical indicators simultaneously. The indicator displays up to 13 different technical confluences in an easy-to-read dashboard format, providing both individual signals and an overall market bias percentage. Switch between full table view and condensed view for maximum chart flexibility.
FEATURES
- 13 Technical Confluences: RSI, VWAP, EMA Cross (9/21), MACD, Stochastic, Trend (50 EMA), Bollinger Bands, ADX Strength, Price Momentum, Volume Breakout, VWAP Bands, 200 EMA, and Price Action (Higher Highs/Lower Lows)
- Real-time Confluence Scoring: Automatically calculates bullish vs bearish signal strength
- Multi-Timeframe Support: Analyze indicators on any timeframe while viewing your chart on another
- Customizable Display: Toggle individual indicators on/off, adjust table position, size, and transparency
- ATR Information: Optional ATR display for volatility-based position sizing
- Condensed View Mode: Ultra-minimal display showing only confluence score and ATR (perfect for scalpers who want maximum chart visibility)
- Full Table View: Detailed breakdown of each indicator's value and signal
- Color-Coded Signals: Green (bullish), red (bearish), white (neutral) for instant visual clarity
HOW IT WORKS
The indicator evaluates each enabled technical indicator and assigns it either a bullish or bearish signal based on its current state. The confluence score shows how many indicators are aligned in each direction, giving you a clear percentage-based view of market bias. For example, if 8 out of 13 indicators are bullish, you'll see a 62% LONG BIAS signal.
DISPLAY MODES
Full View: Shows all enabled indicators with their current values and signals in a detailed table format. Perfect for understanding exactly which indicators are bullish or bearish and why.
Condensed View: Shows only the confluence score (e.g., "4/13 LONG | 9/13 SHORT - SHORT BIAS 69%") and optional ATR information. This minimal display keeps your chart clean while still providing the essential confluence data you need for quick trading decisions. Ideal for scalpers and traders who want maximum chart space.
CONFLUENCES EXPLAINED
- RSI: Momentum oscillator (>50 bullish, <50 bearish, shows overbought/oversold)
- VWAP: Volume-weighted average price (above = bullish, below = bearish)
- EMA Cross: Fast EMA (9) vs Slow EMA (21) with price position
- MACD: Trend-following momentum (line above signal = bullish)
- Stochastic: Momentum oscillator (>50 bullish, <50 bearish)
- Trend (50 EMA): Price position relative to 50-period EMA
- Bollinger Bands: Volatility and mean reversion (above middle = bullish)
- ADX Strength: Trend strength indicator (shows strong trends)
- Price Momentum: Rate of price change over specified period
- Volume Breakout: Detects unusual volume with directional bias
- VWAP Bands: Standard deviation bands around VWAP
- 200 EMA: Long-term trend indicator
- Price Action: Higher Highs and Lower Lows pattern detection
SETTINGS
Timeframe Settings:
- Indicator Timeframe: Analyze indicators on a different timeframe than your chart
Display Options:
- Condensed View: Toggle between full table and minimal display
- Show ATR Info: Display/hide ATR information
- Table Position: 9 positions (top/middle/bottom + left/center/right)
- Text Size: Auto, tiny, small, normal, large, huge
- Table Transparency: 0-100%
- Border Width: 1-5 pixels
Confluence Toggles:
- Enable/disable any of the 13 confluences individually
- Confluence score automatically adjusts based on enabled indicators
Indicator Settings:
- RSI Length (default: 14)
- ATR Length (default: 14)
- Fast/Slow EMA (default: 9/21)
- Trend EMA (default: 50)
- Volume SMA Length (default: 20)
- Volume Breakout Multiplier (default: 2.0x)
- Bollinger Bands Length/StdDev (default: 20/2.0)
- ADX Length (default: 14)
- ADX Strength Threshold (default: 25)
- Momentum Length (default: 10)
IDEAL USE CASES
- Scalping: Quick identification of confluence for fast entries/exits - use condensed view for clean charts
- Day Trading: Multi-timeframe analysis for intraday setups
- Swing Trading: Confirmation of longer-term bias
- Risk Management: Higher confluence = higher probability trades
- Trade Filtering: Only take trades when confluence reaches your threshold
- Multi-Monitor Setups: Use condensed view on execution charts, full view on analysis charts
HOW TO USE
1. Add the indicator to your chart
2. Toggle on/off the confluences you prefer to use
3. Choose between Full View (detailed) or Condensed View (minimal)
4. Adjust the table position and size to your preference
5. Look for high confluence percentages (70%+ is strong bias)
6. Use the individual indicator signals (full view) to understand market structure
7. Combine with your trading strategy for entry/exit confirmation
TIPS
- Use Condensed View when scalping to keep your chart clean and uncluttered
- Switch to Full View when you need to analyze which specific indicators are conflicting
- Higher confluence doesn't guarantee success - always use proper risk management
- Consider using 60%+ confluence as a minimum threshold for trades
- Pay attention to which specific indicators are aligned vs conflicting
- Use the ATR display for quick reference on position sizing
- Experiment with different timeframes to find what works for your style
- Disable indicators you don't use to simplify your confluence scoring
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, trading advice, or any other type of advice. Trading and investing in financial markets involves substantial risk of loss and is not suitable for every investor. Past performance is not indicative of future results. Always do your own research and consult with a qualified financial advisor before making any investment decisions.
RSI Swing Indicator (Win-Rate + Forecast Line + Range Row)What the script does:
It’s essentially an enhanced RSI tool that doesn’t just show the raw RSI line. Instead, it adds forecasting, trade statistics, and range detection so you can see how reliable RSI signals have been historically and what they might mean going forward.
The main components
RSI Calculation
- Uses your chosen source (close, hl2, etc.) and length (default 7).
- Plots the RSI line (orange).
Forecasting
- Projects RSI into the future using slope extrapolation.
- Plots a forecast line (blue) and shows whether RSI is likely to become overbought, oversold, or stay neutral.
Trade Statistics
- Tracks how many long and short trades would have been profitable based on RSI bias.
- Calculates Win‑Rate (percentage of profitable trades) and Average Return (average gain/loss per trade).
- This gives you a statistical edge: are longs or shorts historically working better?
Bias & Conflict Detection
- Defines current bias (Bullish, Bearish, Neutral).
- Flags Conflict when the forecast disagrees with the current bias (e.g., RSI bullish now but forecast bearish).
- Helps you avoid trading against weakening momentum.
Range Detection
- Checks if RSI slope is flat and values are between mid‑bounds (40–60).
- Calculates Range Probability (how often range conditions occur).
- Adds a Range row to the table so you know when the market is likely sideways instead of trending.
Table Display
- Summarizes everything in a neat table: Forecast, Win‑Rates, Avg Returns, Prob Bias, Conflict, Range Prob, and Range status.
- Color‑coded so you can instantly see what’s favorable (green), risky (red), or neutral (yellow/orange).
How to use it
- Trend trading: Look for Profitable Bias with forecast alignment.
- Range trading: When both win‑rates are weak and Range row says Range Likely, fade extremes (buy low RSI, sell high RSI).
- Risk management: Avoid trades when Conflict is flagged.
- Forecasting: Use the projected RSI to anticipate overbought/oversold zones before they happen.
In short:
The script is like a “smart RSI dashboard”. It takes the basic RSI, adds forecasting, tracks how well past trades worked, and tells you whether the market is trending or ranging. This way, you’re not just reacting to RSI — you’re trading with context, probabilities, and forward‑looking signals.
Stage 2 Pullback Swing indicatorThis scanner is built for swing traders who want high-probability pullbacks inside strong, established uptrends. It targets names in a confirmed Stage 2 bull phase (Weinstein model) that have pulled back 10–30% from a recent swing high on light selling volume, while still respecting fast EMAs.
Goal: find powerful uptrending stocks during controlled dips before the next leg higher.
What it looks for
Strong prior uptrend: price above the 50 and 200 SMAs, momentum positive over multiple timeframes
Confirmed Stage 2: price above a rising 30-week MA on the weekly chart
Pullback depth: 10–30% off recent swing highs—not too shallow, not broken
Pullback quality: range contained, no panic selling, trend structure intact
EMA behavior: price near EMA10 or EMA20 at signal time
Volume contraction: sellers fading throughout the pullback
Bullish shift: green candle back in trend direction
Why this matters
This setup hints at institutions defending positions during a temporary dip. Strong stocks pull back cleanly with declining volume, then resume the primary trend. This script alerts you when those conditions align.
Best way to use
Filter a strong universe before applying—quality tickers only
Pair with clear trade plans: risk defined by prior swing low or ATR
Trigger alerts instead of hunting charts manually
Intended for
Swing traders who want momentum continuation setups
Traders who prefer entering on controlled retracements
Anyone tired of chasing extended breakouts
Premarket&Regular Session VolumeThis script provides a clean and practical overview of premarket cumulative volume compared with regular session volume, helping traders instantly identify unusual early-session liquidity.
Features
Tracks total premarket volume from 4:00–9:30 ET
Shows cumulative premarket buildup as a smooth line
Helps detect early liquidity spikes that often lead to halts, gap-ups or momentum runs
Designed for intraday scalpers and small-cap/momentum traders
Why It’s Useful
Premarket activity frequently reveals hidden demand long before the opening bell.
When premarket volume significantly exceeds average daily levels, the probability of early spikes, volatility events, or continuation moves increases.
This indicator offers a simple but powerful visual tool for evaluating market interest before the open and comparing it with regular session volume
ATR Stop Loss Finder (Strict Breakout Mode)Title: ATR Stop Loss Finder (Strict Breakout Mode)
Description:
Volatility-Based Risk Management: Generates dynamic trailing stop-loss lines for both Long (Lower Line) and Short (Upper Line) positions based on ATR volatility.
Strict Breakout Detection: Features a unique "Strict Breakout" logic that highlights trend acceleration. It visually marks whenever the Long SL breaks a historical high or the Short SL breaks a historical low over a user-defined lookback period (e.g., 50 bars).
Visual Signals: Automatically plots Red Circles for bullish SL breakouts (New Highs) and Blue Circles for bearish SL breakdowns (New Lows), making strong momentum shifts easy to spot.
Real-Time Dashboard: Includes an informative table displaying current ATR and SL price levels for quick reference.
IDLP – Intraday Daily Levels Pro [FXSMARTLAB]🔥 IDLP – Intraday Daily Levels Pro
IDLP – Intraday Daily Levels Pro is a precision toolkit for intraday traders who rely on objective daily structure instead of repainting indicators and noisy signals.
Every level plotted by IDLP is derived from one simple rule:
Today’s trading decisions must be based on completed market data only.
That means:
✅ No use of the current day’s unfinished data for levels
✅ No lookahead
✅ No hidden repaint behavior
IDLP reconstructs the previous trading day from the intraday chart and then projects that structure forward onto the current session, giving you a stable, institutional-style intraday map.
🧱 1. Previous Daily Levels (Core Structure)
IDLP extracts and displays the full previous daily structure, which you can toggle on/off individually via the inputs:
Previous Daily High (PDH)
Previous Daily Low (PDL)
Previous Daily Open
Previous Daily Close,
Previous Daily Mid (50% of the range)
Previous Daily Q1 (25% of the range)
Previous Daily Q3 (75% of the range)
All of these come from the day that just closed and are then locked for the entire current session.
What these levels tell you:
PDH / PDL – true extremes of yesterday’s price action (liquidity zones, breakout/reversal points).
Previous Daily Open / Close – how the market positioned itself between session start and end
Mid (50%) – equilibrium level of the previous day’s auction.
Q1 / Q3 (25% / 75%) internal structure of the previous day’s range, dividing it into four equal zones and helping you see if price is trading in the lower, middle, or upper quarter of yesterday’s range.
All these levels are non-repaint: once the day is completed, they are fixed and never change when you scroll, replay, or backtest.
🎯 2. Previous Day Pivot System (P, S1, S2, R1, R2)
IDLP includes a classic floor-trader pivot grid, but critically:
It is calculated only from the previous day’s high, low, and close.
So for the current session, the following are fixed:
Pivot P – central reference level of the previous day.
Support 1 (S1) and Support 2 (S2)
Resistance 1 (R1) and Resistance 2 (R2)
These levels are widely used by institutional desks and algos to structure:
mean-reversion plays, breakout zones, intraday targets, and risk placement.
Everything in this section is non-repaint because it only uses the previous day’s fully closed OHLC.
📏 3. 1-Day ADR Bands Around Previous Daily Open
Instead of a multi-day ADR, IDLP uses a pure 1-Day ADR logic:
ADR = Range of the previous day
ADR = PDH − PDL
From that, IDLP builds two clean bands centered around the previous daily Open:
ADR Upper Band = Previous Day Open + (ADR × Multiplier)
ADR Lower Band = Previous Day Open − (ADR × Multiplier)
The multiplier is user-controlled in the inputs:
ADR Multiplier (default: 0.8)
This lets you choose how “tight” or “wide” you want the ADR envelope to be around the previous day’s open.
Typical use cases:
Identify realistic intraday extension targets, Spot exhaustion moves beyond ADR bands, Frame reversals after reaching volatility extremes, Align trades with or against volatility expansion
Again, since ADR is calculated only from the completed previous day, these bands are totally non-repaint during the current session.
🔒 4. True Non-Repaint Architecture
The internal logic of IDLP is built to guarantee non-repaint behavior:
It reconstructs each day using time("D") and tracks:
dayOpen, dayHigh, dayLow, dayClose for the current day
prevDayOpen, prevDayHigh, prevDayLow, prevDayClose for the previous day
At the moment a new day starts:
The “current day” gets “frozen” into prevDay*
These prevDay* values then drive: Previous Daily Levels, Pivots, ADR.
During the current day:
All these “previous day” values stay fixed, no matter what happens.
They do not move in real time, they do not shift in replay.
This means:
What you see in the past is exactly what you would have seen live.
No fake backtests.
No illusion of perfection from repainting behavior.
🎯 5. Designed For Intraday Traders
IDLP – Intraday Daily Levels Pro is made for:
- Day traders and scalpers
- Index and FX traders
- Prop firm challenge trading
- Traders using ICT/SMC-style levels, liquidity, and range logic
- Anyone who wants a clean, institutional-style daily framework without noise
You get:
Previous Day OHLC
Mid / Q1 / Q3 of the previous range
Previous-Day Pivots (P, S1, S2, R1, R2)
1-Day ADR Bands around Previous Day Open
All calculated only from closed data, updated once per day, and then locked.
PEG RSI [Auto EPS Growth]The PEG RSI is a hybrid indicator that combines fundamental valuation with technical momentum. It applies the Relative Strength Index (RSI) directly to the Price/Earnings-to-Growth (PEG) Ratio.
Unlike traditional PEG indicators that require manual input for growth rates, this script automatically calculates the Compound Annual Growth Rate (CAGR) of Earnings Per Share (EPS) based on historical data.
Key Features
- Auto-Calculated Growth: Uses historical TTM Earnings Per Share (EPS) to calculate the CAGR over a user-defined period (Default: 4 years).
- Dynamic Valuation: Converts the static PEG ratio into an oscillator (RSI) to identify relative valuation extremes.
- Trend & Momentum: Visualizes the momentum of the PEG ratio relative to its own history.
Educational Case Study
This indicator is designed for educational purposes and research. Instead of relying on fixed overbought or oversold levels, users are encouraged to study the correlation between the PEG RSI and price action independently.
- Observe how the price reacts when the PEG RSI reaches upper or lower extremes.
- Different stocks may respect different RSI zones based on their growth stability.
- Use this tool to analyze how market valuation momentum shifts over time.
Settings:
- Years for CAGR Growth: Timeframe to calculate EPS growth (Default: 4 years).
- RSI Length: Lookback period for the RSI calculation (Default: 14).
Note: This indicator works best on stocks with a consistent history of earnings. It requires financial data to function (will not work on assets without EPS like Crypto or Forex).
Raja's SMC Order Blocks Display [PRO]Raja's SMC Order Blocks Display - Complete Description
🌟 A Message from Raja Saien
This indicator has been crafted with dedication, countless hours of research, and deep passion for trading excellence. Raja Saien has poured his heart and soul into creating this powerful tool to help YOU succeed in the markets.
For Everyone Starting Their Trading Journey:
If you're new to trading, remember - every expert was once a beginner. This indicator is your gateway to understanding how institutional money moves in the markets. Raja Saien believes in YOUR potential to learn, grow, and achieve financial freedom through smart trading.
The path to success requires:
✨ Dedication to learning the craft
💪 Patience during the learning curve
🎯 Consistent practice with the right tools
🚀 Belief in your ability to master the markets
This isn't just an indicator - it's a mentor on your chart, showing you where the smart money is positioned. With hard work and this tool in your arsenal, you can transform your trading and your life.
Remember: The markets reward those who prepare, practice, and persist. Raja Saien has given you the tool - now it's your turn to commit to the journey!
Overview
This is an advanced TradingView indicator that identifies and displays Smart Money Concepts (SMC) and Order Blocks. It's designed for professional traders who want to understand institutional trading patterns and market structure.
Main Features
1. Smart Money Concepts (SMC) Detection
ZigZag Pattern Recognition: Identifies market structure using pivot highs and lows
Break of Structure (BOS): Detects when price breaks through important structural levels
Change of Character (CHoCH): Identifies trend reversals and shifts in market sentiment
Configurable Length: Adjustable ZigZag sensitivity (default: 5 bars)
2. Order Blocks (OB)
Order blocks are zones where institutional investors have placed large orders. The indicator identifies two types:
Bullish Order Blocks:
Created when market shifts from bearish to bullish
Marks the last bearish candle before the structure break
Displayed in green/teal color
Represents potential support zones where price may bounce
Looks back 10 bars to find the lowest bearish candle
Bearish Order Blocks:
Created when market shifts from bullish to bearish
Marks the last bullish candle before the structure break
Displayed in red color
Represents potential resistance zones where price may reject
Looks back 10 bars to find the highest bullish candle
3. Order Block Management
Dynamic Extension: Active order blocks extend forward on the chart
Mitigation Detection: Automatically detects when price fully breaks through an order block
Bullish OB mitigated when close drops below the bottom
Bearish OB mitigated when close rises above the top
Visual Feedback: Mitigated blocks turn gray and are labeled "Mitigated"
Auto-cleanup: Removes mitigated order blocks from active tracking
4. Moving Averages Suite
Includes multiple trend indicators for comprehensive analysis:
Fast EMA (default 9): Yellow line - captures short-term momentum
Slow EMA (default 21): Purple line - identifies medium-term trends
EMA 50: Orange line - major trend filter
SMA 200: Blue line - long-term trend and institutional reference point
All EMAs support multiple source options: Open, High, Low, Close, HL2, HLC3, OHLC4
Customization Options
SMC Settings
ZigZag Length: Control sensitivity of structure detection (2-100)
Show Order Blocks: Toggle order block display on/off
Visual Settings
Bullish Color: Customize color for bullish order blocks (default: teal #089981)
Bearish Color: Customize color for bearish order blocks (default: red #f23645)
Transparency: Order blocks displayed with 80% transparency for better chart visibility
EMA Settings
Fast EMA Length: Adjustable period (default: 9)
Slow EMA Length: Adjustable period (default: 21)
Source Selection: Choose calculation source for each EMA
Toggle EMA 50: Show/hide the 50-period EMA
Toggle SMA 200: Show/hide the 200-period SMA
How It Works
Structure Detection Process
Identifies pivot highs and lows based on specified length
Creates ZigZag lines connecting significant swing points
Tracks current trend direction (bullish/bearish/neutral)
Monitors for structural breaks that signal trend changes
Order Block Creation
When price breaks above a previous high (bullish BOS):
Scans last 10 bars for the lowest bearish candle
Creates bullish order block at that candle's range
Marks it as active support zone
When price breaks below a previous low (bearish BOS):
Scans last 10 bars for the highest bullish candle
Creates bearish order block at that candle's range
Marks it as active resistance zone
Order Block Lifecycle
Active: Box extends forward with colored border and background
Tested: Price can interact with the zone multiple times
Mitigated: Once price closes through the zone, marked as invalidated
Removed: Automatically cleaned up after mitigation
Trading Applications
Entry Strategies
Pullback Entries: Wait for price to return to an active order block
Confirmation: Look for bullish price action at bullish OBs, bearish at bearish OBs
EMA Confluence: Stronger setups when OBs align with EMA levels
Risk Management
Stop Loss: Place stops just beyond the order block boundary
Invalidation: Exit if order block gets mitigated
Multiple Timeframes: Check OBs on higher timeframes for stronger zones
Trend Analysis
EMA Alignment: All EMAs pointing same direction = strong trend
EMA 50 Test: Key level for trend continuation/reversal
SMA 200: Major institutional reference point
Technical Specifications
Max Boxes: 500 (sufficient for most chart timeframes)
Max Lines: 500
Max Labels: 500
Overlay: True (draws directly on price chart)
Version: Pine Script v5
Best Practices
Use on liquid markets (forex, major stocks, crypto)
Combine with volume analysis for confirmation
Higher timeframes produce more reliable order blocks
Wait for clear structure breaks before trusting new OBs
Don't trade against the major trend (SMA 200 direction)
Use multiple confirmations before entering trades
Limitations
Works best in trending markets with clear structure
May produce false signals in ranging/choppy conditions
Requires understanding of Smart Money Concepts
Not a standalone trading system - use with proper risk management
Historical order blocks don't guarantee future reactions
Multi-EMA Slope DashboardThis script provides a comprehensive dashboard displayed directly on the chart, allowing you to analyze the underlying trend using 8 Exponential Moving Averages (EMA) ranging from period 20 to 55.
Unlike classic indicators that simply check if the price is above or below the EMA, this tool analyzes the slope of each moving average to determine the true market dynamics.
The indicator calculates the status of 8 distinct EMAs (20, 25, 30, 35, 40, 45, 50, 55). For each EMA, the script determines the direction using the following logic:
Slope Calculation: It compares the current EMA value with its value 3 bars ago (variable nb_bougies).
Neutrality Threshold: To avoid false signals in ranging (flat) markets, a neutrality filter is applied (0.01% of the EMA value).
Dashboard Interpretation
The table is located at the top right of your screen and displays three columns:
EMA: The moving average period (e.g., 20, 55).
State:
H (Hausse / Up): The slope is positive and above the threshold.
B (Baisse / Down): The slope is negative and below the negative threshold.
N (Neutre / Neutral): The slope is weak, indicating no clear trend.
COL (Color): Quick visual indicator.
🔵 Blue: Bullish trend.
🟠 Orange: Bearish trend.
⚪ Gray: Neutral Trend / Ranging.
Trading Usage
Trend Confirmation: Use the "Totaux" (Totals) counter at the bottom of the table. If you see 8/8 H (Blue), the bullish trend is strong and aligned across all timeframes (short and medium term).
Reversal Detection: If fast EMAs (20, 25) turn Orange (B) while slow ones (50, 55) are still Blue (H), this may signal the beginning of a correction or a trend reversal.
Adaptive Volatility Stop by Pedro Paulo de MeloStop ATR is a clean and reliable volatility-based trailing stop system, built to adapt dynamically to market conditions using the Average True Range (ATR).
It identifies trend direction, adjusts the stop level using stair-step logic, and automatically flips the stop when price reversals occur.
How it works
Uses ATR × Multiplier to calculate an adaptive volatility buffer
Tracks trend direction internally
Recomputes and repositions the stop when a trend flip is detected
Plots separate lines for bullish and bearish stop states
Works on any market and timeframe (crypto, forex, commodities, indices, stocks)
Why it’s useful
This Stop ATR implementation is extremely stable and visually clean.
It is particularly effective for:
Trend following
Position management
Swing and position trading
Systematic stop placement
Unlike many ATR-based stop versions, this script uses a corrected flip-handling method that prevents stop misalignment and ensures consistent trend state tracking.
Inputs
Period — ATR length
Multiplier — ATR factor that defines stop distance
Author
Developed by Pedro Paulo de Melo, open-source version.
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Reversal Reactor - Multi-Pattern Candle Reversal ScannerReversal Reactor - Multi-Pattern Candle Reversal Scanner
⚪ Overview
Reversal Reactor is a comprehensive candle-pattern and volume-pressure detection engine designed to highlight possible reversal environments.
It identifies abnormal volume surges, major single-candle reversal structures, and multi-candle formations such as Morning/Evening Stars — all refined through adjustable shadow-to-body ratios and adaptive lookback logic.
⚪ Core Features
Big-Volume Candle Detection : green or red full body.
Flags candles with unusually high volume relative to a volume EMA. These moments often reflect climactic pushes, absorption, forced liquidations, or rapid sentiment flips.
Reversal Candle Pattern Suite
A unified engine that detects major reversal structures with individual on/off control:
• Engulfing — Strong directional assertion via body-wide engulfing of prior candle.
• Morning Star — Three-stage bullish reversal following sustained selling.
• Evening Star — Bearish transition structure after an extended advance.
• Hammer — Long lower or upper wick showing strong rejection from one side of the market..
• Shooting Star — Long upper wick showing aggressive upside rejection.
• Hanging Man — Bearish exhaustion signal forming near range highs.
• Doji — Neutral indecision candle marking potential transition zones.
Shadow-to-Body Ratio Control
Fine-tunes wick-dominant pattern detection (hammer/star types) by requiring the shadow to exceed the body by a customizable multiplier, reducing low-quality signals.
Adaptive Lookback Logic
Allows users to adjust historical evaluation depth, improving sensitivity across different volatility regimes and asset behaviors. Default setting is recommended.
⚪ How Traders Use It
• Spot exhaustion near key support/resistance.
• Validate reversal attempts with volume confirmation.
• Filter for clean candle structures before entering momentum shifts.
Disclaimer
This indicator is intended for educational and informational purposes only. It does not constitute financial advice, nor does it guarantee performance or profitability. Always conduct your own analysis and manage risk appropriately when trading.
BTCUSDT - RSI Divergence Clean v7indicatore che individua divergenze in btcusdt,con alert impostabili,funziona
Daily Buy Signal – RSI/EMA21
Daily Buy Signal – RSI/EMA21
A simple technical signal that identifies potential daily buy opportunities using RSI and EMA21 alignment.
This script generates a daily buy signal when momentum and trend strength align.
The signal triggers when the price closes above the 21-period EMA and the RSI(14) crosses above the 50 level, or when both the RSI stays above 50 and the price shifts from closing below the EMA21 to closing above it.
A label is plotted below the candle, and the script includes an alert condition so users can receive real-time notifications.
