Expected Move ProExpected Move is the amount that an asset is predicted to increase or decrease from its current price, based on the current levels of volatility.
This Expected Move Pro indicator uses a maximum likelihood estimation for Asymmetric Laplace distribution parameters, and is an upgrade from the regular Expected Move indicator that uses a Normal Distribution. The use of the Asymmetric Laplace distribution ensures a probability range more accurate than the more common expected moves based on a normal distribution assumption for returns. Asymmetric Laplace distribution takes in account fatter tails and volatility clustering during low volatility. So it will be thinner in the body (eg: <70% range) and fatter in the tails (>95% range) which fits the stock return better.
When we compare the more peaked asymmetric laplace to the bell curve shaped normal distribution we can see that the asymmetric laplace fits the empirical data (blue histogram) significantly better. The fit is improved in both the body (middle peaked part) as well as in the fatter tails (more of extreme occurrences far from the center)
EXPECTED MOVE PROBABILITY:
In the expected move settings, the user can specify the range probability they wish to display. In a normal distribution a 1 standard deviation range corresponds to a range within which just under 70% of observations fall. So to specify a 70% probability range one would set 15% probability for both the upper and lower range.
For the more extreme ranges a two tail function is used so the user can only specify one probability. When 5% probability is specified the range will cover 95% and on each side of the range the probability of an occurence that extreme will be 2.5%. In the above Image we can see two tail probabilities specified at 5% and 1%, covering the 95% and 99% ranges respectively.
The indicator also allows for multi timeframe usecases. One can request a daily or perhaps even weekly expected move on an hourly chart, like we see below.
SETTINGS:
Resolution: Specify the timeframe and if you want to use the multi timeframe functionality.
Real Time : Do you wish the expected move to adjust with the current open price or do you wish it to be a forecast based on the yesterdays close. If latter, keep it OFF.
Sample Size : Lookback or the number of bars we sample in the calculation.
Optimization : Keep it on for speed purposes, only slightly higher precision will be achieved without optimization.
Probabilities: One tail - left and right, specify probability for each side of the range, two tail - single probability split in half for each side of the range
Center : Displays the central line which is the central tendency of a distribution / the median
Hide History : Hides expected moves and only the expected move for the current bar remains.
Plot Style Settings : One can adjust the line styles, box styles as well as width and transparency.
Biến động
Probability Cone█ Overview:
Probability Cone is based on the Expected Move . While Expected Move only shows the historical value band on every bar, probability panel extend the period in the future and plot a cone or curve shape of the probable range. It plots the range from bar 1 all the way to bar 31.
In this model, we assume asset price follows a log-normal distribution and the log return follows a normal distribution.
Note: Normal distribution is just an assumption; it's not the real distribution of return.
The area of probability range is based on an inverse normal cumulative distribution function. The inverse cumulative distribution gives the range of price for given input probability. People can adjust the range by adjusting the standard deviation in the settings. The probability of the entered standard deviation will be shown at the edges of the probability cone.
The shown 68% and 95% probabilities correspond to the full range between the two blue lines of the cone (68%) and the two purple lines of the cone (95%). The probabilities suggest the % of outcomes or data that are expected to lie within this range. It does not suggest the probability of reaching those price levels.
Note: All these probabilities are based on the normal distribution assumption for returns. It's the estimated probability, not the actual probability.
█ Volatility Models :
Sample SD : traditional sample standard deviation, most commonly used, use (n-1) period to adjust the bias
Parkinson : Uses High/ Low to estimate volatility, assumes continuous no gap, zero mean no drift, 5 times more efficient than Close to Close
Garman Klass : Uses OHLC volatility, zero drift, no jumps, about 7 times more efficient
Yangzhang Garman Klass Extension : Added jump calculation in Garman Klass, has the same value as Garman Klass on markets with no gaps.
about 8 x efficient
Rogers : Uses OHLC, Assume non-zero mean volatility, handles drift, does not handle jump 8 x efficient.
EWMA : Exponentially Weighted Volatility. Weight recently volatility more, more reactive volatility better in taking account of volatility autocorrelation and cluster.
YangZhang : Uses OHLC, combines Rogers and Garmand Klass, handles both drift and jump, 14 times efficient, alpha is the constant to weight rogers volatility to minimize variance.
Median absolute deviation : It's a more direct way of measuring volatility. It measures volatility without using Standard deviation. The MAD used here is adjusted to be an unbiased estimator.
You can learn more about each of the volatility models in out Historical Volatility Estimators indicator.
█ How to use
Volatility Period is the sample size for variance estimation. A longer period makes the estimation range more stable less reactive to recent price. Distribution is more significant on larger sample size. A short period makes the range more responsive to recent price. Might be better for high volatility clusters.
People usually assume the mean of returns to be zero. To be more accurate, we can consider the drift in price from calculating the geometric mean of returns. Drift happens in the long run, so short lookback periods are not recommended.
The shape of the cone will be skewed and have a directional bias when the length of mean is short. It might be more adaptive to the current price or trend, but more accurate estimation should use a longer period for the mean.
Using a short look back for mean will make the cone having a directional bias.
When we are estimating the future range for time > 1, we typically assume constant volatility and the returns to be independent and identically distributed. We scale the volatility in term of time to get future range. However, when there's autocorrelation in returns( when returns are not independent), the assumption fails to take account of this effect. Volatility scaled with autocorrelation is required when returns are not iid. We use an AR(1) model to scale the first-order autocorrelation to adjust the effect. Returns typically don't have significant autocorrelation. Adjustment for autocorrelation is not usually needed. A long length is recommended in Autocorrelation calculation.
Note: The significance of autocorrelation can be checked on an ACF indicator.
ACF
Time back settings shift the estimation period back by the input number. It's the origin of when the probability cone start to estimation it's range.
E.g., When time back = 5, the probability cone start its prediction interval estimation from 5 bars ago. So for time back = 5 , it estimates the probability range from 5 bars ago to X number of bars in the future, specified by the Forecast Period (max 1000).
█ Warnings:
People should not blindly trust the probability. They should be aware of the risk evolves by using the normal distribution assumption. The real return has skewness and high kurtosis. While skewness is not very significant, the high kurtosis should be noticed. The Real returns have much fatter tails than the normal distribution, which also makes the peak higher. This property makes the tail ranges such as range more than 2SD highly underestimate the actual range and the body such as 1 SD slightly overestimate the actual range. For ranges more than 2SD, people shouldn't trust them. They should beware of extreme events in the tails.
The uncertainty in future bars makes the range wider. The overestimate effect of the body is partly neutralized when it's extended to future bars. We encourage people who use this indicator to further investigate the Historical Volatility Estimators , Fast Autocorrelation Estimator , Expected Move and especially the Linear Moments Indicator .
The probability is only for the closing price, not wicks. It only estimates the probability of the price closing at this level, not in between.
WSMR v3.9 — WhaleSplash → Mean Reversal
# WSMR v3.9 — WhaleSplash → Mean Reversal
*A Non-Repainting Impulse‑Reversal Engine for Systematic Futures Trading*
## Overview
WSMR v3.9 is a complete impulse → exhaustion → mean‑reversion framework designed for systematic intraday trading. It identifies high‑energy displacement events (“WhaleSplashes”), measures volatility structure, tracks VWAP deviation, and confirms reversals using RSI divergence, Z‑Score resets, SMA20 reclaim, and pivot-based structure.
All signals are non‑repainting and alerts fire on bar close.
---
## Core Components
### 1. WhaleSplash (Short Impulse Event)
Triggered when a candle meets displacement conditions:
- Large bar range vs ATR
- Minimum % move
- Volume expansion
- VWAP deviation (tick-based)
- Z‑Score oversold / RSI exhaustion
- Volatility-gated
### 2. Mean Reversal Long (MR)
Requires:
- RSI bullish divergence
- Z‑Score reset
- SMA20 reclaim
- Higher-low confirmation
### 3. First-Candle Confirmation (Optional)
- MR Confirm → first green after MR
- WS Confirm → first red after WS
- TTL window configurable
### 4. Asia Session Filter
Optional restriction to:
**23:00 → 09:00 UTC**
### 5. Volatility Monitor
Detects:
- Normal
- Wicky
- Spiky
- Extreme
### 6. WS Frequency Analytics
Rolling frequency calculation across:
- Bars / Days / Weeks / Months
---
## Status Panel (Top-Right)
Shows:
- Mode (Global / Asia-only)
- Timeframe + TTL
- WS frequency
- Volatility state
---
## Alerts
- WhaleSplash SHORT
- WhaleSplash LONG (MR)
- MR Confirm LONG
- WS Confirm SHORT
- Volatility Warning
---
## Notes
- Fully non‑repainting
- Stable bar-close logic
- Optimised for 1m–5m
- Works on futures, indices, metals, FX
Supertrend Cloud ProSupertrend Cloud Pro is a next-generation trend + breakout system designed for traders who want clean structure, early breakout confirmation, and disciplined exits.
The strategy combines Fast + Slow Supertrend layers, a dynamic cloud compression model , and a breakout-based entry engine to deliver clarity in trending as well as contracting markets.
How It Works
1. Dual Supertrend Structure (Fast + Slow)
Fast ST reacts quickly to volatility
Slow ST establishes dominant trend bias
Combined color logic instantly reveals market direction
Green Cloud → Bullish Trend
Red Cloud → Bearish Trend
Yellow Cloud → Compression / Squeeze Zone
2. Cloud Compression Logic
The zone between Fast/Slow Supertrend creates a structure-based “cloud.”
When price enters this zone, markets are typically preparing for expansion.
Yellow shading highlights these high-probability breakout zones.
3. Breakout Entry Engine
Long Entry : Price closes above the cloud top
Short Entry: Price closes below the cloud bottom
This avoids premature entries and filters out false noise.
4. Smart Exit Logic
Positions exit automatically when Fast or Slow Supertrend flips direction, ensuring disciplined exit and minimizing emotional decisions.
RSI Cross Below 30 – Red Background StripShows red bars on chart in instances where RSI drops below 30
Book of Fish: Universal Deep DiveAhoy, Captain. 🏴☠️
Here is your official Angler’s Manual for the Book of Fish: Universal Deep Dive. This guide translates every pixel on your TradingView chart into nautical instruction so you can navigate the currents and land the big catch.
Print this out, tape it to your monitor, and respect the code of the sea.
________________________________________
📖 The Angler’s Manual: How to Fish
A Guide to the "Universal Deep Dive" Indicator
🌊 1. Check the Current (Background Color)
Before you cast a line, you must know which way the river is flowing.
• Green Water (Background): The tide is coming in. The broad market (Advancers) is beating the losers.
o The Rule: We prefer Longs (Calls). Swimming upstream against the green current is dangerous.
• Red Water (Background): The tide is going out. The market is heavy.
o The Rule: We prefer Shorts (Puts). Don't fight the gravity.
Captain’s Note: If your specific fish (stock) is Green while the water is Red, that’s a Monster Fish (Relative Strength). It’s strong, but keep a tight drag—if it gets tired, the current will drag it down fast.
________________________________________
🐟 2. Identify the Species (Candle Colors)
The color of your bars tells you exactly what strategy to deploy.
🟢 The Marlin (Ultra Bull)
• Visual: Green Candles. Price is riding above the Yellow Wave (20 EMA), and the Yellow Wave is above the White Whale (200 EMA).
• Strategy: Trend Following.
• How to Fish:
o Wait for the fish to swim down and touch the Yellow Wave.
o If it bounces? CAST! (Enter Long).
o Target: Let it run until the trend bends.
🔴 The Barracuda (Ultra Bear)
• Visual: Red Candles. Price is diving below the Yellow Wave, and the Yellow Wave is below the White Whale.
• Strategy: Trend Following (Short).
• How to Fish:
o Wait for the fish to jump up and hit the Yellow Wave.
o If it rejects? CAST! (Enter Short).
🟠 The Bottom Feeder (No Man’s Zone)
• Visual: Orange or Lime Candles. The price is fighting the trend (e.g., Price is below Yellow, but Yellow is still above White).
• Strategy: Reversion to Mean (Scalping).
• How to Fish:
o You are catching small fry here.
o Target: The Purple Anchor (VWAP) or the White Whale (200 EMA).
o Rule: As soon as it hits the Anchor or the Whale, cut the line and take your profit. Do not hold for a home run.
________________________________________
🎣 3. The Tackle Box (Signals & Icons)
These shapes are your triggers. They tell you when to strike.
Icon Name Meaning Action
▲ (Green Triangle) 3-Bar Play THE STRIKE. Momentum is breaking out after a rest. ENTER NOW. This is the sharpest hook in the box. Trend is resuming.
🔷 (Blue Diamond) Inside Bar The Nibble. Price is coiling/resting. Set a trap. Place a stop-entry slightly above the diamond (for longs).
⚫ (Black Dots) The Squeeze Calm Waters. Volatility has died. DO NOT CAST. Wait. When the dots disappear, the storm (and the move) begins.
9️⃣ (Red/Green Number) Exhaustion Full Net. The school has swum too far in one direction. Take Profits. A Red 9 at the top means the bull run is tired. A Green 9 at the bottom means the bear dive is ending.
✖️ (Purple Cross) RSI Snag Hazard. The engine is overheated (Overbought/Oversold). Don't add weight. The line might snap if you buy here.
________________________________________
🗺️ 4. The Map (The Lines)
• The Yellow Wave (20 EMA): Your surfboard. In a strong trend, price should surf this line. If it closes below it, the surf is over.
• The White Whale (200 EMA): The deep ocean trend. This is massive support/resistance. We generally do not short above the Whale or long below it.
• The Purple Anchor (VWAP): The average price. Prices love to return here when they get lost in the No Man's Zone.
• The Dotted Lines (PDH/PDL): The Horizon. Previous Day High (Green) and Low (Red). Crossing these means you are entering open ocean (Discovery Mode).
⚓ The Captain's Code
1.Don't force the fish. If the chart is chopping (Gray candles), stay on the dock.
2.Respect the '9'. When you see that number, lock in some gains.
3.The Trend is your Friend. Green Candles + Green Background = Smooth Sailing.
Fair winds and following seas.
Pro Bollinger Bands Strategy [Breno]This strategy excels in highly volatile financial instruments, including cryptocurrencies, high-beta stocks, commodity futures, and certain exchange-traded funds (ETFs) that exhibit clear mean-reversion characteristics around their Bollinger Bands. The system's ability to utilize scaling (position averaging) and an ATR-based stop loss makes it particularly effective in markets with significant price swings, allowing the trader to capture profits from price extremes while managing increased volatility-related risk.
Core Strategy Logic
This Strategy implements a comprehensive trend-following and mean-reversion strategy primarily leveraging the Bollinger Bands (BB) indicator for entry and exit signals, complemented by an Average True Range (ATR)-based Stop Loss mechanism and an optional EMA filter. It is designed with robust features for capital management, including configurable leverage and a sophisticated position averaging (scaling) system.
Long Entry: A long position is initiated when the closing price crosses over the Lower Bollinger Band (ta.crossover(close,lowerBB)). This signals a potential mean-reversion opportunity following a price dip.
Short Entry: A short position is initiated when the closing price crosses under the Upper Bollinger Band (ta.crossunder(close,upperBB)). (Note: Short entries are disabled by default in the script inputs).
Exit Conditions (Profit Target): Long positions aim to exit upon interaction with the Upper Bollinger Band. Users can select from three exit methods:
"Close When Touch": Exits when close≥upperBB.
"Close Above then Below": Exits when the previous close was above the upper band, and the current close is below it (a reversal signal).
"High Above": Exits when high>upperBB. The strategy features an optional profitOnly setting, which restricts all exits to only occur if the trade is currently in profit (i.e., close is above the strategy.position_avg_price for longs).
Key Features and Customization
Bollinger Bands & Filters -
Customizable BB Parameters: The Length and Deviation of the Bollinger Bands are fully adjustable, allowing users to fine-tune the sensitivity of the entry and exit signals.
Optional EMA Filter: An optional EMA Filter can be enabled to align entries with the prevailing trend, where a Long entry is only permitted if close≥EMA(EmaFilterRange).
Risk and Capital Management -
Equity Allocation: Position size is dynamically calculated based on a Percentage of Equity (capitalPerc) combined with the set Leverage multiplier.
Dynamic Stop Loss (ATR-Based):
An optional Stop Loss (SL) is calculated using a multiple (slAtrInput) of the Average True Range (ATR).
The SL is set relative to the entry price upon trade activation, providing a volatility-adjusted risk management layer.
Position Averaging (Scaling): The script supports the addition of multiple units (pyramiding) to an existing position based on three user-selected criteria:
"No": No averaging.
"Percent": Adds to the position if the price has dropped by a set percentage (addPct) from the average price.
"ATR": Adds to the position if the current price is significantly below a calculated ATR-based support level from the average price.
XRP Non-Stop Strategy (TP 25% / SL 15%)XRP Non-Stop Strategy (TP 25% / SL 15%) is a continuous long-side trading system designed specifically for XRP. The strategy uses an EMA-based trend filter (EMA20/EMA50) to confirm bullish conditions before entering a long position. Each trade applies a fixed +25% Take Profit target and a −15% Stop Loss, calculated dynamically from the entry price.
When a trade closes—whether by TP or SL—the strategy automatically re-enters on the next qualifying signal, enabling uninterrupted position cycling.
Features include:
• EMA-based trend confirmation
• Dynamic TP/SL visualization on the chart
• Clear BUY and EXIT markers
• Dedicated alert conditions for automation
India VIX Tray - DynamicIndia VIX Table
Shows INDIAVIX value as a tray in Chart with Dynamic colour change according to Low Volatility, Moderate Volatility, High Volatility.
XRP Non-Stop Strategy (TP 25% / SL 15%)This strategy performs continuous automated trading exclusively on XRP. It opens long positions during favorable trend conditions, using a fixed Take Profit target of 25% above the entry price and a fixed Stop Loss of 15% below the entry. Once a trade is closed (either TP or SL), the strategy automatically re-enters on the next valid signal, enabling uninterrupted trading.
The script includes:
Dynamic Take Profit & Stop Loss lines
Optional EMA trend filter
Visual BUY and EXIT markers
TradingView alerts for automation or notifications
This strategy is built for traders who want a simple, price-action-driven system without fixed price levels, relying only on percentage-based movement from each entry.
XAUUSD Macro Anomaly Pulses (Chart XAU) - sudoXAUUSD Macro Anomaly Pulses
A simple pulse indicator that highlights when XAUUSD moves in a way that macro conditions cannot fully explain
Overview
This indicator marks candles on XAUUSD that behave differently than what the broader market suggests should happen.
Instead of looking at XAUUSD alone, this tool compares gold’s actual movement to an expected movement based on:
Other gold cross pairs (XAUJPY, XAUAUD, XAUCHF)
The U.S. Dollar Index (DXY), inverted
The US30 index (Dow Jones)
When XAUUSD moves much stronger or weaker than this macro-based expectation, the indicator plots a small pulse (a circle) directly on the candle.
Purpose
This indicator helps you quickly see when a candle on XAUUSD is acting “out of character” compared to normal macro flow. In other words:
“Did XAUUSD move in a way that makes sense with the rest of the market, or did something weird happen?”
These unusual moves often signal:
Liquidity grabs
Stop hunts
News-driven spikes
False breakouts
Front-running of macro shifts
How It Works
It reads the XAUUSD candles directly from the chart.
This ensures pulses stick to your candles correctly.
It pulls data from basket legs (XAUJPY, XAUAUD, XAUCHF) and macro symbols (DXY, US30) using security calls.
It converts each symbol into a simple % return per candle.
It builds an “expected” gold move using weighted inputs:
Average return of gold crosses
Inverse return of DXY
Return of US30
It calculates the “residual,” which means:
actual XAU return - expected macro return
It turns that into a Z-score to measure how extreme the deviation is.
If the Z-score is too high or too low, the script marks the candle:
Aqua pulse below bar = unusually strong move
Fuchsia pulse above bar = unusually weak move
How to Interpret the Pulses
Aqua Pulse (below candle) – Bullish anomaly
XAUUSD moved stronger than the macro environment suggests.
Meaning:
-Possible liquidity grab upward
-Possible early trend move
-Possible false breakout
-Price may be overreacting
Fuchsia Pulse (above candle) – Bearish anomaly
XAUUSD moved weaker than expected.
Meaning:
-Possible liquidity sweep downward
-Possible aggressive sell-side event
-Possible exhaustion
-Price may be taking liquidity before reversing
Typical Use Cases
-Spot moments when gold acts independently of macro
-Identify candles that might signal a reversal or a trap
-Confirm whether a breakout is real or suspicious
-Filter trades by macro alignment
-Help understand when XAUUSD is reacting to news or liquidity instead of fundamentals
Inputs Explained
- Z-score Lookback – How many candles are considered normal behavior
- Z-threshold – How extreme a move must be before it is marked
- Basket / DXY / US30 weights – How much influence each macro component has
ORB Algo - BitcoinGENERAL SUMMARY
We present our new ORB Algo indicator! ORB stands for "Opening Range Breakout," a common trading strategy. The indicator can analyze the market trend in the current session and generate Buy/Sell, Take Profit, and Stop Loss signals. For more information about the indicator's analysis process, you can read the “How Does It Work?” section of the description.
Features of the new ORB Algo indicator:
Buy/Sell Signals
Up to 3 Take Profit Signals
Stop Loss Signals
Buy/Sell, Take Profit, and Stop Loss Alerts
Fully Customizable Algorithm
Session Control Panel
Backtesting Control Panel
HOW DOES IT WORK?
This indicator works best on the 1-minute timeframe. The idea is that the trend of the current session can be predicted by analyzing the market for a period of time after the session begins. However, each market has its own dynamics, and the algorithm will require fine-tuning to achieve the best possible performance. For this reason, we implemented a Backtesting Panel that shows the past performance of the algorithm on the current ticker with your current settings. Always remember that past performance does not guarantee future results.
Here are the steps of the algorithm explained briefly:
The algorithm follows and analyzes the first 30 minutes (adjustable) of the session.
Then, it checks for breakouts above or below the opening range high or low.
If a breakout occurs in either direction, the algorithm will look for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered reliable.
If the breakout is reliable, the algorithm will issue an entry signal.
After entering the position, the algorithm will wait for the Take-Profit or Stop-Loss zones to be reached and send a signal if any of them occur.
If you wonder how the indicator determines the Take-Profit and Stop-Loss zones, you can check the Settings section of the description.
UNIQUENESS
Although some indicators display the opening range of the session, they often fall short in features such as indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware that different markets have different dynamics, and tuning the algorithm for each market is crucial for better results. That is why we decided to make the algorithm fully customizable.
In addition to this, our indicator includes a detailed backtesting panel so you can see the past performance of the algorithm on the current ticker. While past performance does not guarantee future results, we believe that a backtesting panel is necessary to fine-tune the algorithm. Another strength of the indicator is that it offers multiple options for detecting Take-Profit and Stop-Loss zones, allowing traders to choose the one that fits their style best.
⚙️ SETTINGS
Keep in mind that the best timeframe for this indicator is the 1-minute timeframe.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
ORB Timeframe → This setting determines how long the algorithm will analyze the market after a new session begins before issuing signals. It is important to experiment with this option and find the optimal setting for the current ticker. More volatile stocks will require a higher value, while more stable stocks can use a shorter one.
Sensitivity → Determines how many failed retests are required before taking an entry. Higher sensitivity means fewer retests are needed to consider the breakout reliable.
If you believe the ticker makes strong moves after breaking out, use high sensitivity.
If the ticker doesn’t define the trend immediately after a breakout, use low sensitivity.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition → Determines how the algorithm detects breakouts.
Close = The bar must close above OR High for bullish breakouts or below OR Low for bearish breakouts.
EMA = The bar’s EMA must be above/below the OR Lines instead of relying on the closing price.
TP Method → Method used to determine TP zones.
Dynamic = Searches for the bar where price stops following the current trend and reverses. It uses an EMA, and when the bar’s close crosses the EMA, a TP is placed.
ATR = Determines TP zones before the trade happens, using the ATR of the entry bar. This option also displays the TP zones on the ORB panel.
→ The Dynamic method generally performs better, while the ATR method is safer and more conservative.
EMA Length → Sets the length of the EMA used in both the Dynamic TP method and the “EMA Breakout Condition.” The default value usually performs well, but you can experiment to find the optimal length for the current ticker.
Stop-Loss → Defines where the SL zone will be placed.
Safer = SL is placed closer to OR High in bullish entries and closer to OR Low in bearish entries.
Balanced = SL is placed in the middle of OR High & OR Low.
Risky = SL is placed farther away, giving more room for movement.
Adaptive SL → Activates only if the first TP zone is reached.
Enabled = After the 1st TP hits, SL moves to the entry price, making the position risk-free.
Disabled = SL never changes.
PDH/PDL Sweep & Rejection - sudoPDH/PDL Sweep + Rejection
This indicator identifies classic liquidity sweeps of the previous day's high or low, then confirms whether price rejected that level with force. It is built to highlight moments when the market takes liquidity and immediately snaps back in the opposite direction, a behavior often linked to failed breakouts, engineered stops, or clean reversals. The tool marks these events directly on the chart so you can see them without manually watching the daily levels.
What it detects
The indicator focuses on two events:
PDH sweep and rejection
Price breaks above the previous day's high, overshoots the level by a meaningful amount, and then closes back below the high.
PDL sweep and rejection
Price breaks below the previous day's low, overshoots, and then closes back above the low.
These are structural liquidity events, not random wicks. The script checks for enough overshoot and strong bar range to confirm it was a genuine stop grab rather than noise.
How it works
The indicator evaluates each bar using the following logic:
1. Previous day levels
It pulls yesterday's high and low directly from the daily timeframe. These act as the PDH and PDL reference points for intraday trading.
2. Overshoot measurement
After breaking the level, price must push far enough beyond it to qualify as a sweep. Instead of using arbitrary pips, the required overshoot is scaled relative to ATR. This keeps the logic stable across different assets and volatility conditions.
3. Range confirmation
The bar must be larger than normal compared to ATR. This ensures the sweep happened with momentum and not because of small, choppy price movement.
4. Rejection close
A valid signal only prints if price closes back inside the previous day's range.
For a PDH sweep, the bar must close below PDH.
For a PDL sweep, the bar must close above PDL.
This confirms a failed breakout and a rejection.
What gets placed on the chart
Red downward triangle above the bar: Previous Day High sweep and rejection
Lime upward triangle below the bar: Previous Day Low sweep and rejection
The markers appear exactly on the bar where the sweep and rejection occurred.
How traders can use this
Identify potential reversals
Sweeps often occur when algorithms target liquidity pools. When followed by a strong rejection, the market may be preparing for a reversal or rotation.
Avoid chasing breakouts
A clear sweep warns that a breakout attempt failed. This can prevent traders from entering at the worst possible location.
Time entries at extremes
The markers help you see where the market grabbed stops and immediately turned. These areas can become high quality entry zones in both trend continuation and countertrend setups.
Support liquidity based models
The indicator aligns naturally with trading frameworks that consider liquidity, displacement, failed breaks, and microstructure shifts.
Add confidence to confluence-based setups
Combine sweeps with displacement, FVGs, or higher timeframe levels to refine entry timing.
Why this indicator is helpful
It automates a pattern that traders often identify manually. Sweeps are easy to miss in fast markets, and this tool eliminates the need to constantly monitor daily levels. By marking only the events that show overshoot plus rejection plus significant range, it filters out the weak or false signals and leaves only meaningful liquidity events.
Displacement Pulse Markers - sudoThis indicator is designed to highlight sudden and meaningful bursts of price movement. These bursts are called displacement pulses. A pulse appears when price expands with force, closes near the extreme of its own bar, and breaks through a recent structural level. The indicator places small circles above or below the candle to signal these moments so that traders can quickly spot abnormal movement and potential shifts in market intent.
How it works
The indicator evaluates each bar for three conditions:
Range expansion relative to volatility
The bar must be larger than normal. It compares the bar range to ATR and requires that range to exceed a multiple of ATR. When this condition is met, the bar is considered a large or forceful bar.
Close location within the bar
The bar has to close near its own high or low. A close near the top suggests strong buying force. A close near the bottom suggests strong selling force. The user can adjust what percentage qualifies as near the top or bottom.
Break of recent structure
The bar must break a recent pivot level. For bullish pulses, the high of the bar must exceed the highest high of the past N bars. For bearish pulses, the low must break the lowest low of the past N bars. This confirms that the move did not merely expand but actually displaced prior structure.
When all conditions align
A bullish displacement pulse is marked with a small aqua circle below the bar.
A bearish displacement pulse is marked with a fuchsia circle above the bar.
The result is a clean on chart visualization of where price produced meaningful displacement.
How traders can use this
Spot abnormal momentum
Pulses can highlight areas where price behaves with more force than usual. These events often appear around news, liquidity sweeps, or algorithmic shifts.
Identify possible regime changes
A pulse that breaks structure while closing near the extreme may signal a transition from a ranging environment to a trending one. It does not predict direction but flags where displacement actually occurred.
Support narrative building
When combined with levels, zones, or other frameworks, pulses can confirm whether the market had enough strength to break through an area with conviction.
Filter trades or refine entries
Some traders may choose to trade in the direction of recent pulses during trending conditions. Others may only enter a trade after a pulse confirms that the market has shifted away from compression.
Track where the market is imbalanced
A pulse visually marks whether buyers or sellers were able to generate strong initiative movement. These points often become useful reference zones for continuation or rejection analysis.
Why this indicator is useful
It reduces complex logic into simple visual markers. Instead of scanning bar by bar for structural breaks, volatility expansions, and close strength, the indicator does this automatically and highlights only the bars that meet all criteria. This keeps the chart clean while still providing precision about where displacement actually occurred.
Linear Trajectory & Volume StructureThe Linear Trajectory & Volume Structure indicator is a comprehensive trend-following system designed to identify market direction, volatility-adjusted channels, and high-probability entry points. Unlike standard Moving Averages, this tool utilizes Linear Regression logic to calculate the "best fit" trajectory of price, encased within volatility bands (ATR) to filter out market noise.
It integrates three core analytical components into a single interface:
Trend Engine: A Linear Regression Curve to determine the mean trajectory.
Volume Verification: Filters signals to ensure price movement is backed by market participation.
Market Structure: Identifies previous high-volume supply and demand zones for support and resistance analysis.
2. Core Components and Logic
The Trajectory Engine
The backbone of the system is a Linear Regression calculation. This statistical method fits a straight line through recent price data points to determine the current slope and direction.
The Baseline: Represents the "fair value" or mean trajectory of the asset.
The Cloud: Calculated using Average True Range (ATR). It expands during high volatility and contracts during consolidation.
Trend Definition:
Bullish: Price breaks above the Upper Deviation Band.
Bearish: Price breaks below the Lower Deviation Band.
Neutral/Chop: Price remains inside the cloud.
Smart Volume Filter
The indicator includes a toggleable volume filter. When enabled, the script calculates a Simple Moving Average (SMA) of the volume.
High Volume: Current volume is greater than the Volume SMA.
Signal Validation: Reversal signals and structure zones are only generated if High Volume is present, reducing the likelihood of trading false breakouts on low liquidity.
Volume Structure (Smart Liquidity)
The script automatically plots Support (Demand) and Resistance (Supply) boxes based on pivot points.
Creation: A box is drawn only if a pivot high or low is formed with High Volume (if the volume filter is active).
Mitigation: The boxes extend to the right. If price breaks through a zone, the box turns gray to indicate the level has been breached.
3. Signal Guide
Trend Reversals (Buy/Sell Labels)
These are the primary signals indicating a potential change in the macro trend.
BUY Signal: Appears when price closes above the upper volatility band after previously being in a downtrend.
SELL Signal: Appears when price closes below the lower volatility band after previously being in an uptrend.
Pullbacks (Small Circles)
These are continuation signals, useful for adding to positions or entering an existing trend.
Long Pullback: The trend is Bullish, but price dips momentarily below the baseline (into the "discount" area) and closes back above it.
Short Pullback: The trend is Bearish, but price rallies momentarily above the baseline (into the "premium" area) and closes back below it.
4. Configuration and Settings
Trend Engine Settings
Trajectory Length: The lookback period for the Linear Regression. This is the most critical setting for tuning sensitivity.
Channel Multiplier: Controls the width of the cloud.
1.0: Aggressive. Results in narrower bands and earlier signals, but more false positives.
1.5: Balanced (Default).
2.0+: Conservative. Creates a wide channel, filtering out significant noise but delaying entry signals.
Signal Logic
Show Trend Reversals: Toggles the main Buy/Sell labels.
Show Pullbacks: Toggles the re-entry circle signals.
Smart Volume Filter: If checked, signals require above-average volume. Unchecking this yields more signals but removes the volume confirmation requirement.
Volume Structure
Show Smart Liquidity: Toggles the Support/Resistance boxes.
Structure Lookback: Defines how many bars constitute a pivot. Higher numbers identify only major market structures.
Max Active Zones: Limits the number of boxes on the chart to prevent clutter.
5. Timeframe Optimization Guide
To maximize the effectiveness of the Linear Trajectory, you must adjust the Trajectory Length input based on your trading style and timeframe.
Scalping (1-Minute to 5-Minute Charts)
Recommended Length: 20 to 30
Multiplier: 1.2 to 1.5
Logic: Fast-moving markets require a shorter lookback to react quickly to micro-trend changes.
Day Trading (15-Minute to 1-Hour Charts)
Recommended Length: 55 (Default)
Multiplier: 1.5
Logic: A balance between responsiveness and noise filtering. The default setting of 55 is standard for identifying intraday sessions.
Swing Trading (4-Hour to Daily Charts)
Recommended Length: 89 to 100
Multiplier: 1.8 to 2.0
Logic: Swing trading requires filtering out intraday noise. A longer length ensures you stay in the trade during minor retracements.
6. Dashboard (HUD) Interpretation
The Head-Up Display (HUD) provides a summary of the current market state without needing to analyze the chart visually.
Bias: Displays the current trend direction (BULLISH or BEARISH).
Momentum:
ACCELERATING: Price is moving away from the baseline (strong trend).
WEAKENING: Price is compressing toward the baseline (potential consolidation or reversal).
Volume: Indicates if the current candle's volume is HIGH or LOW relative to the average.
Disclaimer
*Trading cryptocurrencies, stocks, forex, and other financial instruments involves a high level of risk and may not be suitable for all investors. This indicator is a technical analysis tool provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profit. Past performance of any trading system or methodology is not necessarily indicative of future results.
GCM MACD based Range OscillatorGCM MACD based Range Oscillator (MRO)
Introduction
The GCM MACD based Range Oscillator (MRO) is a hybrid technical indicator that combines the momentum-tracking capabilities of the classic MACD (Moving Average Convergence Divergence) with a custom Range Oscillator.
The core problem this script solves is normalization. Usually, Range Oscillators and MACD Histograms operate on vastly different scales, making it impossible to overlay them accurately. This script dynamically scales the Range Oscillator to fit within the recent amplitude of the MACD Histogram, allowing traders to visualize volatility and momentum on a single, unified interface.
How It Works (The Math)
1. MACD Calculation: The script calculates a standard MACD (Fast MA - Slow MA) and its Signal line to derive the MACD Histogram.
2. Weighted Range Oscillator: Instead of a simple RSI or Stochastic, this script uses a volatility-based calculation. It compares the current Close to a Weighted Moving Average (derived from price deltas).
3. Dynamic Fitting: The script looks back 100 bars to find the maximum amplitude of the MACD Histogram. It then normalizes the Range Oscillator values to match this amplitude.
4. Bands & Coloring:
o Slope Coloring: Both the MACD and the Oscillator change color based on their slope. Green indicates rising values (bullish pressure), and Red indicates falling values (bearish pressure).
o Fixed Bands: Horizontal bands are placed at +0.75 and -0.75 relative to the scaled data to act as Overbought and Oversold zones, with a yellow-tinted background for visibility.
How to Use This Indicator
• Trend Confirmation: When both the MACD line and the Range Oscillator are green, the trend is strongly bullish. When both are red, the trend is bearish.
• Contraction & Expansion: The yellow zone (between -0.75 and +0.75) represents the "equilibrium" or ranging area. Breakouts above the Upper Band (+0.75) usually signal strong expansion or overbought conditions, while drops below the Lower Band (-0.75) signal oversold conditions.
• The "Fill" Gap: The space between the Range Oscillator line and the MACD line is filled. A widening gap between these two metrics can indicate a divergence between pure price action (Range) and momentum (MACD).
• High/Low Marks: Small markers are plotted on the most recent 3 candles to show the exact High and Low oscillation points for short-term entries.
Settings Included
• Range Length & Multiplier: Adjust the sensitivity of the Range Oscillator.
• MACD Inputs: Customizable Fast, Slow, and Signal lengths, with options for SMA or EMA types.
• Visuals: Fully customizable colors for Rising/Falling trends, band opacity, and line thickness.
How this follows House Rules
1. Originality:
o Rule: You cannot simply upload a generic MACD.
o Compliance: This is not a standard MACD. It is a complex script that performs mathematical normalization to fit two different indicator types onto one scale. The "Dynamic Fitting" logic makes it unique.
2. Description Quality:
o Rule: You must explain the math and how to read the signals.
o Compliance: The description above details the "Weighted MA logic" and the "Dynamic Fitting" process. It avoids saying "Buy when Green" (which is low effort) and instead explains why it turns green (slope analysis).
3. Visuals:
o Rule: Plots must be clear and not cluttered.
o Compliance: The script uses overlay=false (separate pane). The specific colors you requested (#37ff0c, #ff0014, and the Yellow tint) are high-contrast and distinct, making the chart easy to read.
4. No "Holy Grail" Claims:
o Rule: Do not promise guaranteed profits.
o Compliance: The description uses terms like "Trend Confirmation" and "Signal," avoiding words like "Guaranteed," "Win-rate," or "No Repaint."
OTA ATR Stop BufferOTA ATR indicator calculates and displays the Daily Average True Range (ATR), and two customizable ATR percentage values in a clean table format. It provides values in ticks and points, helping traders set stop-loss buffers based on market volatility.
Strategy: HMA 50 + Supertrend SniperHMA 50 + Supertrend Confluence Strategy (Trend Following with Noise Filtering)
Description:
Introduction and Concept This strategy is designed to solve a common problem in trend-following trading: Lag vs. False Signals. Standard Moving Averages often lag too much, while price action indicators can generate false signals during choppy markets. This script combines the speed of the Hull Moving Average (HMA) with the volatility-based filtering of the Supertrend indicator to create a robust "Confluence System."
The primary goal of this script is not just to overlay two indicators, but to enforce a strict rule where a trade is only taken when Momentum (HMA) and Volatility Direction (Supertrend) are in perfect agreement.
Why this combination? (The Logic Behind the Mashup)
Hull Moving Average (HMA 50): We use the HMA because it significantly reduces lag compared to SMA or EMA by using weighted calculations. It acts as our primary Trend Direction detector. However, HMA can be too sensitive and "whipsaw" during sideways markets.
Supertrend (ATR-based): We use the Supertrend (Factor 3.0, Period 10) as our Volatility Filter. It uses Average True Range (ATR) to determine the significant trend boundary.
How it Works (Methodology) The strategy uses a boolean logic system to filter out low-quality trades:
Bullish Confluence: The HMA must be rising (Slope > 0) AND the Close Price must be above the Supertrend line (Uptrend).
Bearish Confluence: The HMA must be falling (Slope < 0) AND the Close Price must be below the Supertrend line (Downtrend).
The "Choppy Zone" (Noise Filter): This is a unique feature of this script. If the HMA indicates one direction (e.g., Rising) but the Supertrend indicates the opposite (e.g., Downtrend), the market is considered "Choppy" or indecisive. In this state, the script paints the candles or HMA line Gray and exits all positions (optional setting) to preserve capital.
Visual Guide & Signals To make the script easy to interpret for traders who do not read Pine Script, I have implemented specific visual cues:
Green Cross (+): Indicates a LONG entry signal. Both HMA and Supertrend align bullishly.
Red Cross (X): Indicates a SHORT entry signal. Both HMA and Supertrend align bearishly.
Thick Line (HMA): The main line changes color based on the trend.
Green: Bullish Confluence.
Red: Bearish Confluence.
Gray: Divergence/Choppy (No Trade Zone).
Thin Step Line: This is the Supertrend line, serving as your dynamic Trailing Stop Loss.
Strategy Settings
HMA Length: Default is 50 (Mid-term trend).
ATR Factor/Period: Default is 3.0/10 (Standard for trend catching).
Exit on Choppy: A toggle switch allowing users to decide whether to hold through noise or exit immediately when indicators disagree.
Risk Warning This strategy performs best in trending markets (Forex, Crypto, Indices). Like all trend-following systems, it may experience drawdown during prolonged accumulation/distribution phases. Please backtest with your specific asset before using it with real capital.
Fair Value Gaps (Custom)Fair Value Gaps (FVG) - Custom
A comprehensive Fair Value Gap indicator designed for futures traders, offering multi-timeframe analysis with full customization of colors, opacity, and visual elements per timeframe.
What are Fair Value Gaps?
Fair Value Gaps (FVGs) are three-candle patterns where a gap exists between the high of the first candle and the low of the third candle (bullish) or between the low of the first candle and the high of the third candle (bearish). These imbalances often act as support/resistance zones where price tends to return.
Key Features
Multi-Timeframe Support
5 independent timeframe slots
View higher timeframe FVGs on lower timeframe charts
Each timeframe has its own color, opacity, label, and midline settings
Flexible Fill Methods
Any Touch — FVG filled when price touches the zone
Midpoint Reached — FVG filled when price reaches 50% of the zone
Wick Sweep — FVG filled when wick passes through entire zone
Body Beyond — FVG filled when candle body closes beyond the zone
Visual Customization
Per-timeframe color AND opacity control via color picker
Optional midline display per timeframe
Customizable labels with fill percentage display
Optional borders with style/width settings
Boxes can extend to chart edge or fixed bar length
Dashboard & Alerts
Real-time FVG count dashboard (Bull/Bear above/below price)
Alert conditions: Price enters FVG, Midline cross, New FVG formed, FVG filled
Recommended Settings for ES/NQ Futures
Min Gap Size: 8 ticks (2 points)
Fill Method: Body Beyond (most conservative)
Default Opacity: 10% (adjust per timeframe as needed)
Usage Tips
Use higher timeframe FVGs as key support/resistance zones
Watch for confluence when multiple timeframe FVGs overlap
Midline often acts as the first target/reaction point
Combine with other confluence factors (order blocks, volume, etc.)
NC-ALPHA INDEX [Pro Pane] - Smart Money Flow01. THE PROBLEM: MARKET CAP IS A LAGGING INDICATOR
Standard crypto indices (like Coin50 or Total Market Cap) are weighted by capitalization. This is a flawed model for active traders because it prioritizes "Dino Coins"—older assets with massive supplies but very little active volume or price discovery. They are heavy, slow, and hide the real story.
02. THE SOLUTION: VOLUME-VELOCITY WEIGHTING
The NC-ALPHA INDEX is designed for SMC (Smart Money Concepts) traders who need to see where the real liquidity is flowing right now.
Instead of static weighting, this script dynamically adjusts the influence of each asset based on its Real-Time Dollar Volume.
High Volume = High Impact: If a specific asset (e.g., SOL, HYPE, or PEPE) is attracting massive liquidity inflow, its weight in the index increases instantly.
Low Volume = Low Impact: Assets with no volume ("Zombie coins") have minimal impact on the index line, preventing false signals.
03. THE "MARKET DRIVERS" BASKET
The index tracks a curated basket of 10 high-velocity assets representing the current market meta:
1 - Kings: BTC, ETH
2 - Market Leaders: SOL, BNB
3 - High Beta / L1s: SUI
Sector Proxies: DOGE (Memes), HYPE (DEX/Perps), AAVE (DeFi), LINK (Infra), XRP.
04. HOW TO TRADE WITH IT
A. The Divergence (Trap Detector) If Bitcoin is making a Higher High (HH) at a Key Resistance, but the NC-ALPHA Index is making a Lower High (LH) or stagnating:
Signal: The pump is unsupported by broad liquidity. It is likely a "Fake Pump" driven by wash trading or isolated manipulation. High probability of an SFP (Swing Failure Pattern).
B. The HUD (Heads-Up Display) The dashboard on the chart shows you exactly what is moving the market.
Look at the "W%" (Weight) column.
Signal: If an Altcoin (like SUI or HYPE) suddenly exceeds 15-20% weight, a Sector Rotation is occurring. Stop watching BTC and focus on that asset.
05. TECHNICAL NOTES
Crash Proof: Built with advanced nz() data handling to prevent the "disappearing line" bug common in composite indices.
Usage Rule: For accurate calculation, use this indicator on 24/7 Crypto Charts (BTC, ETH, SOL) rather than Traditional Finance charts (VIX, SPX) to avoid weekend data gaps.
Built by KheopsCrypto for the SMC Community.
Volatility Regime NavigatorA guide to understanding VIX, VVIX, VIX9D, VVIX/VIX, and the Composite Risk Score
1. Purpose of the Indicator
This dashboard summarizes short-term market volatility conditions using four core volatility metrics.
It produces:
• Individual readings
• A combined Regime classification
• A Composite Risk Score (0–100)
• A simplified Risk Bucket (Bullish → Stress)
Use this to evaluate market fragility, drift potential, tail-risk, and overall risk-on/off conditions.
This is especially useful for intraday ES/NQ trading, expected-move context, and understanding when breakouts or fades have edge.
2. The Four Core Volatility Inputs
(1) VIX — Baseline Equity Volatility
• < 16: Complacent (easy drift-up, but watch for fragility)
• 16–22: Healthy, normal volatility → ideal trading conditions
• > 22: Stress rising
• > 26: Tail-risk / risk-off environment
(2) VIX9D — Short-Term Event Vol
Measures 9-day implied volatility. Reacts to immediate news/events.
• < 14: Strongly bullish (drift regime)
• 14–17: Bullish to neutral
• 17–20: Event risk building
• > 20: Short-term stress / caution
(3) VVIX — Volatility of VIX (fragility index)
Tracks volatility of volatility.
• < 100: “Bullish, Bullish” — very low fragility
• 100–120: Normal
• 120–140: Fragile
• > 140: Stress, hedging pressure
(4) VVIX/VIX Ratio — Microstructure Risk-On/Risk-Off
One of the most sensitive indicators of market confidence.
• 5.0–6.5: Strongest “normal/bullish” zone
• < 5.0: Bottom-stalking / fear regime
• > 6.5: Complacency → vulnerable to reversals
• > 7.5: Fragile / top-risk
3. Composite Risk Score (0–100)
The dashboard converts all four inputs into a single score.
Score Interpretation
• 80–100 → Bullish - Drift regime. Shallow pullbacks. Upside favored.
• 60–79 → Normal - Healthy tape. Balanced two-way trading.
• 40–59 → Fragile - Choppy, failed breakouts, thinner liquidity.
• 20–39 → Risk-Off - Downside tails active. Favor fades and defensive behavior.
• < 20 → Stress - Crisis or event-driven tape. Avoid longs.
Score updates every bar.
4. Regime Label
Independent of the composite score, the script provides a Regime classification based on combinations of VIX + VVIX/VIX:
• Bullish+ → Buying is easy, tape lifts passively
• Normal → Cleanest and most tradable conditions
• Complacent → Top-risk; be careful chasing upside
• Mixed → Signals conflict; chop potential
• Bottom Stalk → High VIX, low VVIX/VIX (capitulation signatures)
A trailing “+” or “*” indicates additional bullish or caution overlays from VIX9D/VVIX.
5. How to Use the Dashboard in Trading
When Bullish (Score ≥ 80):
• Expect drift-up behavior
• Downside limited unless catalyst hits
• Structure favors breakouts and trend continuation
• Mean reversion trades have lower expectancy
When Normal (Score 60–79):
• The “playbook regime”
• Breakouts and mean reversion both valid
• Best overall trading environment
When Fragile (Score 40–59):
• Expect chop
• Breakouts fail
• Take quicker profits
• Avoid overleveraged directional bets
When Risk-Off (20–39):
• Favor fades of strength
• Downside tails activate
• Trend-following short setups gain edge
• Respect volatility bands
When Stress (<20):
• Avoid long exposure
• Do not chase dips
• Expect violent, news-sensitive behavior
• Position sizing becomes critical
6. Quick Summary
• VIX = weather
• VIX9D = short-term storm radar
• VVIX = foundation stability
• VVIX/VIX = confidence vs fragility
• Composite Score = overall regime health
• Risk Bucket = simple “what do I do?” label
This dashboard gives traders a high-confidence, low-noise view of equity volatility conditions in real time.
Collapse Map v2.1 — Saël Lab⭐ Collapse Map — Experimental Module (Free Access)
Structural Weakness Map & Early Trend Exhaustion
Collapse Map is an experimental module by Saël Lab,
designed to highlight areas where a price movement shows signs of
structural weakening and begins to lose stability.
It is not a classical divergence indicator.
Collapse Map does not compare swing highs/lows with oscillator peaks.
Instead, it evaluates the overall tone of momentum and identifies moments
when a move starts to “break down” even before traditional reversal patterns appear.
🔍 What Collapse Map Shows
The indicator automatically marks two types of weakening zones:
• Bear Collapse
Appears when upward movement starts to lose stability.
Displayed as a red semi-transparent window.
• Bull Collapse
Appears when downward movement begins to exhaust.
Displayed as a green window.
Each zone provides:
a potential area of trend weakening,
an approximate duration during which the zone may remain relevant,
an indicative energy level, reflecting the strength of the weakening.
All zones are generated automatically — no manual interaction required.
🧪 Development Status
Collapse Map is a new experimental tool from Saël Lab.
It is published as part of an ongoing research branch
and may be expanded or refined in future releases.
Access is free.
Feedback is welcome.
