Krist1aqq | 15-45min+To get the indicator, write to Telegram: @ASTRO_rou
This indicator gives signals to long or short, and also has custom notifications in telegram via a webhook, you will know the information at the entrance, when taking takes, as well as when closing a position. The indicator is suitable for a 15min - 4h timeframe.
지표 및 전략
DSS Bressert by MaxCapDSS Bressert by MaxCap is an enhanced version of the Double Smoothed Stochastic (DSS) oscillator, originally developed by Robert Bressert.
It is designed to identify overbought/oversold market conditions and detect momentum shifts using a double-smoothing stochastic calculation.
⸻
⚙️ How It Works
This indicator applies a two-stage stochastic calculation with double exponential smoothing to reduce noise and provide smoother trend signals.
	1.	Phase 1 (MIT):
A standard stochastic is calculated over the selected Stochastic_period, measuring the current close relative to the high-low range.
This value is then smoothed using an exponential moving average (EMA).
	2.	Phase 2 (DSS):
A second stochastic is applied on the smoothed MIT line using the same stochastic period, followed by another EMA smoothing step.
The result is a smooth and responsive momentum oscillator that filters out market noise.
This double-smoothing technique allows DSS to remain responsive to price changes while avoiding false reversals that are common with the traditional stochastic.
⸻
🎨 Visualization
	•	The orange line represents the main DSS value.
	•	Blue dots appear when DSS is rising (bullish momentum).
	•	Red dots appear when DSS is falling (bearish momentum).
	•	The horizontal levels 20 and 80 mark oversold and overbought zones, respectively.
⸻
🧠 Signal Interpretation
	•	DSS > 80: Overbought zone — possible downward reversal.
	•	DSS < 20: Oversold zone — possible upward rebound.
	•	DSS rising after crossing above 20: Bullish signal.
	•	DSS falling after crossing below 80: Bearish signal.
	•	Color change (blue ↔ red) may indicate a momentum shift.
⸻
⚙️ Input Parameters
Parameter	Description	Default Value
EMA Period	EMA smoothing period	8
Stochastic Period	Period for stochastic calculation	13
⸻
💡 Advantages
	•	Smoother and more reliable than a standard stochastic.
	•	Reduces market noise and false signals.
	•	Accurately reflects real momentum shifts.
	•	Color-coded visualization for clearer signal reading.
⸻
Trend Break + MSB + Fibo Zone [v1.0] dnmSure! Here’s the English translation of your text:
---
Swings are determined based on the HH/LL structure.
If the candle close breaks the swing level, the MSB (Market Structure Break) is confirmed.
After the MSB, the last swing high/low is used to calculate the Fibonacci 0.5 and 0.618 levels.
On the chart, the 0.5–0.618 range is displayed as a colored box.
A green box appears for a bullish break, and a red box appears for a bearish break.
Sus Stocks External Pump DetectorLets just say you pull up the GME daily chart and put this on.
And compare the price movements of the GME against the big pumps from this indicator ...
For right now uses HKD (AMTD digital).
Session Statistics This Pine Script indicator, "Session Statistics," is a comprehensive volatility analysis tool designed for intraday and daily trading on TradingView. Here's what it does:
It continuously tracks each session's opening price, highest point, and lowest point throughout the trading day
Historical Data Storage: As each trading session completes, the script saves that session's high and low values into arrays. It maintains a rolling database of completed sessions, allowing it to analyze the last N sessions (user-defined, default 20)
Statistics Table
A comprehensive table displays in the top-right corner showing:
Sessions analyzed (e.g., "200 of 269")
Standard deviation (absolute points and percentage)
Variance (absolute and percentage)
Average range (absolute and percentage)
Current session's range in progress (highlighted in yellow)
Practical Trading Applications
Expected Move Calculations: The standard deviation levels help traders set realistic profit targets and stop losses based on how far price typically moves in a session.
Volatility Context: By comparing today's current range to the average range, traders can identify whether the market is experiencing normal, low, or high volatility.
Mean Reversion Trading: When price reaches ±2σ or ±3σ levels, it indicates an unusually large move that may reverse back toward the mean.
Breakout Identification: If price breaks through the standard deviation bands, it signals potentially significant directional moves beyond normal range expectations.
Smart Money vs Retail (COT Flow) 0213Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
Smart Money vs Retail (COT Flow) 0213
MA Cloud + Linha Média🧠 Description of “MA Cloud + Average Line” Indicator
This Pine Script indicator combines multiple moving averages (MAs) into a dynamic visualization that helps traders identify market trends, momentum shifts, and trend strength. It creates a colored cloud between the fastest and slowest moving averages, and also plots an average line representing the mean of all active MAs.
⚙️ 1. Core Features
Multiple Moving Averages (MAs)
Supports up to four customizable moving averages (MA1, MA2, MA3, MA4).
Each MA can use different types:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume-Weighted Moving Average)
RMA (Smoothed Moving Average)
Hull MA (Hull Moving Average)
LSMA (Least Squares Moving Average)
The trader can define each MA’s period, color, and choose whether it’s active or not.
Trend Color Coding
Each MA changes color based on its slope:
Green (or chosen “Up Color”) when rising
Red (or chosen “Down Color”) when falling
This gives instant visual feedback on short-term direction.
MA Cloud (Trend Zone)
When the “Cloud” is active, the area between the minimum and maximum of all active MAs is shaded.
The cloud changes color based on alignment:
🟩 Green Cloud – all MAs are aligned upward (strong bullish trend).
🟥 Red Cloud – all MAs are aligned downward (strong bearish trend).
⚪ Gray Cloud – mixed alignment (no clear trend / consolidation).
Average Line (Mean of All MAs)
Calculates the average of all active MAs and plots it as a central “mean” line.
Serves as a dynamic trend guide — when price is above it, the market tends to be bullish; below it, bearish.
The color of the line follows the current cloud color for consistency.
📈 2. How It Helps Identify Trends
This indicator provides multiple layers of trend confirmation:
Visual Element	Interpretation	Trend Insight
MA Slope Color	Green (Up) / Red (Down)	Short-term momentum direction
MA Cloud Color	Green / Red / Gray	Overall trend alignment across timeframes
Average Line	Mean of all MAs	Acts as a “trend equilibrium” line
Price vs. Average Line	Above = Bullish / Below = Bearish	Confirms trend bias
🔍 3. Example Use Cases
Trend Following
Enter long trades when all MAs are aligned (Cloud = Green) and price is above the average line.
Enter short trades when the Cloud is Red and price is below the average line.
Trend Strength Confirmation
The wider the distance between MAs (thicker cloud), the stronger the ongoing trend.
A narrowing cloud or color shift (green → gray → red) can warn of trend reversal or consolidation.
Dynamic Support and Resistance
The MA Cloud acts as a support zone in uptrends and resistance zone in downtrends.
Traders can use the edges of the cloud to identify possible pullback entry zones.
Multi-Timeframe Analysis
By using fast MAs (e.g., 20/50) and slow MAs (100/200), traders can visualize short-term vs. long-term trend interaction, similar to “Golden Cross” and “Death Cross” setups.
🧩 4. How to Use It Practically
Step 1: Enable only the MAs you need (e.g., 20, 50, 200).
Step 2: Observe the cloud color:
🟩 Green → Favor long trades
🟥 Red → Favor short trades
⚪ Gray → Wait for confirmation
Step 3: Use the average line as a filter:
Trade only in the direction of the average line’s slope.
Step 4: Combine with volume, RSI, or price action to refine entries.
💬 Summary
Indicator Name: MA Cloud + Average Line
Purpose: Visual trend detection and confirmation
Best For: Swing and trend-following traders
Signals Provided:
Trend alignment (via color-coded cloud)
Momentum shifts (via MA color changes)
Dynamic support/resistance (via cloud zones)
Overall trend bias (via average line)
OU Mean-Reversion Bands This indicator applies the Ornstein-Uhlenbeck (OU) mean-reversion model to price or spread data and automatically visualizes the dynamic equilibrium (μ) and its deviation bands.
It estimates the OU parameters (φ, μ, σₛₜₐₜ) directly from price history, generating adaptive statistical bands that represent overbought and oversold zones.
Camarilla Pivot Plays (Lite) [BruzX]█ OVERVIEW
This indicator implements the Camarilla Pivot Points levels and a system for suggesting particular plays. It only 3rd, 4th, and 6th levels, as these are the only ones used by the system. It also optionally shows the Central Pivot Range, which is in fact between S2 and R2. In total, there are 12 possible plays, grouped into two groups of six. The algorithm evaluates in real-time which plays fulfil their precondition and shows the candidate plays. The user must then decide if and when to take the play.
█ CREDITS
The Camarilla pivot plays are defined in a strategy developed by Thor Young, and the whole system is explained in his book "A Complete Day Trading System". This description is self-sufficient for effective use.
█ FEATURES
 
 Display the 3rd, 4th and 6th Camarilla pivot levels
 Works for stocks, futures, indices, forex and crypto
 Automatically switches between RTH and ETH data based on criteria defined by the system.
 Option to force RTH/ETH data and force a close price to be used in the calculation.
 Preconditions for the plays can be toggled on/off
 Works correctly on both RTH and ETH charts
 Well-documented options tooltips
 Well-documented and high-quality open-source code for those who are interested
 
█ HOW TO USE
The defaults work well; at a minimum, just add the indicator and watch the plays being called. For US futures, you will probably want to chat the "Timezone for sessions" to New York and the regular session times to 09:30 - 16:00. The following diagram shows its key features. 
By default, the indicator draws plays 1 days back; this can be changed up to 20 days. The labels can be shifted left/right using the "label offset" option to avoid overlapping with other labels in this indicator or those of another indicator.
An information box at the top-right of the chart shows:
 
 The data currently in use for the main pivots. This can switch in the pre-market if the H/L range exceeds the previous day's H/L, and if it does, you will see that switch at the time that it happens
 Whether the current day's pivots are in a higher or lower range compared to the previous day's.
 The width of the pivots compared to the previous day
 The current candidate plays fulfilling preconditions. You then need to watch the price action to decide whether to take the play.
 
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind.
█ CONCEPTS
The indicator is focused around daily Camarilla pivots and evaluates the preconditions for 12 possible plays: 6 when in a higher range, 6 when in a lower range. The plays are labelled by two letters—the first indicates the range, the second indicates the play—as shown in this diagram:
The pivots can be calculated using only RTH (Regular Trading Hours) data, or ETH (Extended Trading Hours) data, which includes the pre-market and post-market. The indicator implements logic to automatically choose the correct data, based on the rules defined by the strategy. This is user-overridable. With the default options, ETH will be used when the H/L range in the previous day's post-market or current day's pre-market exceeds that of the previous day's regular market. In auto mode, the chosen pivots are considered the main pivots for that day and are the ones used for play evaluation. The "other" pivots can also be shown—"other" here meaning using ETH data when the main pivots use RTH data, and vice versa.
The plays must fulfil a set of preconditions. There are preconditions for valid region and range, price sweeps into levels, correct pivot width, opening position, price action, and whether neutral range plays and premarket plays are enabled. When all the preconditions are fulfilled, the play will be shown as a candidate. 
█ NOTE FOR FUTURES
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example. It trades from 18:00 ET Sunday to 17:00 Friday (ET), with a daily pause between 17:00 and 18:00 ET. However, most of the trading activity is done between 09:30 and 16:00, which you can tell from the volume spikes at those times, and this coincides with NYSE/NASDAQ regular hours. So we define a pseudo-pre-market from 18:00 the previous day to 09:30 on the current day, then a pseudo-regular market from 08:30 to 16:00, then a pseudo-post-market from 16:00 to 17:00. The indicator then works exactly the same as with equities—all the options behave the same, just with different session times defined for the pre-, regular, and post-market, with "RTH" meaning just the regular market and "ETH" meaning all three.
█ LIMITATIONS
The pivots are very close to those shown in DAS Trader Pro. They are not to-the-cent exact, but within a few cents. The reasons are:
 
 TradingView provides free real-time data from CBOE One, not full exchange data (you can pay for this though, and it's not expensive), and
 the close/high/low are taken from the intraday timeframe you are currently viewing, not daily data—which are very close, but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe.
 
Despite these caveats, occasionally large spikes will be seem in one platform and not the other (even with paid data), or the spikes will reach significantly difference prices. Where these spikes create the daily high or low, this can cause significantly different pivots levels. The more traded the stock is, the less the difference tends to be. Highly traded stocks are usually within a few cents (but even they occasionally have large differences in spikes). There is nothing that can be done about this.  
The 6th Camarilla level does not have a standard definition and may not match the level shown on other platforms. It does match the definition used by DAS Trader Pro.
Replay mode for stocks does not work correctly. This is due to some important Pine Script variables provided by the TradingView platform and used by the script not being assigned correct values in replay mode. Futures do not use these variables, so they should work in replay mode. 
The indicator is an intraday indicator (despite also being able to show weekly and monthly pivots on an intraday chart). It deactivates on a daily timeframe and higher. Sub-minute timeframes are also not supported.
The indicator was developed and tested for US/European stocks, US futures and EURUSD forex and BTCUSD. It should work as intended for stocks and futures in different countries, and for all forex and crypto, but this is tested as much as the security it was developed for.
█ DISCLAIMER
This indicator is provided for information only and should not be used in isolation without a good understand of the system and without considering other factors. You should not take trades using real money based solely on what this indicator says. Any trades you take are entirely at your own risk.
Camarilla Pivot Plays (Premium) [BruzX]█ OVERVIEW
This indicator implements the Camarilla Pivot Points levels and a system for suggesting particular plays. It only calculates and shows the 3rd, 4th, and 6th levels, as these are the only ones used by the system. In total, there are 12 possible plays, grouped into two groups of six. The algorithm constantly evaluates conditions for entering and exiting the plays and indicates them in real time, also triggering user-configurable alerts.
█ CREDITS
The Camarilla pivot plays are defined in a strategy developed by Thor Young, and the whole system is explained in his book "A Complete Day Trading System". This description is self-sufficient for effective use.
█ FEATURES
Feature marked with a * are unique to this Premium version. 
 
 Automatically draws plays, suggesting an entry, stop-loss, and maximum target*
 User can set alerts on chosen ticker to call these plays, even when not currently viewing them*
 Highly configurable via many options (many more than the Lite version)
 Works for stocks, futures, indices, forex and crypto
 Works correctly on both RTH and ETH charts
 Automatically switches between RTH and ETH data based on criteria defined by the system
 Option to show both RTH and ETH pivots in parallel*
 Configurable calculation modes and risk to reward*
 Options presets available to force settings to those used by other tools or traders*
 Option to disable individual play precondition checks
 Can also show weekly and monthly Camarilla pivots*
 Well-documented options tooltips
 
█ HOW TO USE
The defaults work well; at a minimum, just add the indicator and watch the plays being called. To avoid having to watch securities, by selecting the three dots next to the indicator name, you can set an alert* on the indicator and choose to be alerted on play entries (use "Any alert() function call" as the alert trigger). The following diagram shows several plays activated in the past (with the "Show past plays" option selected).
By default, the indicator draws plays 1 days back; this can be changed up to 20 days. The labels can be shifted left/right using the "label offset" option to avoid overlapping with other labels in this indicator or those of another indicator.
An information box at the top-right of the chart shows:
 
 The data currently in use for the main pivots. This can switch in the pre-market if the H/L range exceeds the previous day's H/L, and if it does, you will see that switch at the time that it happens
 Whether the current day's pivots are in a higher or lower range compared to the previous day's.
 The width of the pivots compared to the previous day
 The currently active play if there is one*, or the candidate plays fulfilling preconditions and waiting for a trigger is none is currently active. If multiple plays are active in parallel, only the last activated one is shown
 
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind. Plays will always use the correct colour, drawing over the pivots. For example, R4 is red by default, but if a play treats R4 as a support, then the play will draw a green line (by default) over the red R4 line, thereby hiding it while the play is active.
█ CONCEPTS
The indicator is focused around daily Camarilla pivots and implements 12 possible plays: 6 when in a higher range, 6 when in a lower range. The plays are labelled by two letters—the first indicates the range, the second indicates the play—as shown in this diagram:
The pivots can be calculated using only RTH (Regular Trading Hours) data, or ETH (Extended Trading Hours) data, which includes the pre-market and post-market. The indicator implements logic to automatically choose the correct data, based on the rules defined by the strategy. This is user-overridable. With the default options, ETH will be used when the H/L range in the previous day's post-market or current day's pre-market exceeds that of the previous day's regular market. In auto mode, the chosen pivots are considered the main pivots for that day and are the ones used for play evaluation. The "other" pivots can also be shown*—"other" here meaning using ETH data when the main pivots use RTH data, and vice versa.
The plays must fulfil a set of preconditions and then trigger to become active. There are preconditions for valid region and range, price sweeps into levels, correct pivot width, opening position, price action and ATR limits* so that that target is reachable, and whether neutral range plays and premarket plays are enabled. When all the preconditions are fulfilled, the play will be marked as possible. It will then wait for a trigger, which is the price (and also SMA for some of the plays) reaching a certainly location. 
█ NOTE FOR FUTURES
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example. It trades from 18:00 ET Sunday to 17:00 Friday (ET), with a daily pause between 17:00 and 18:00 ET. However, most of the trading activity is done between 09:30 and 16:00, which you can tell from the volume spikes at those times, and this coincides with NYSE/NASDAQ regular hours. So we define a pseudo-pre-market from 18:00 the previous day to 09:30 on the current day, then a pseudo-regular market from 08:30 to 16:00, then a pseudo-post-market from 16:00 to 17:00. The indicator then works exactly the same as with equities—all the options behave the same, just with different session times defined for the pre-, regular, and post-market, with "RTH" meaning just the regular market and "ETH" meaning all three.
█ LIMITATIONS
The pivots are very close to those shown in DAS Trader Pro. They are not to-the-cent exact, but within a few cents. The reasons are:
 
 TradingView provides free real-time data from CBOE One, not full exchange data (you can pay for this though, and it's not expensive), and
 the close/high/low are taken from the intraday timeframe you are currently viewing, not daily data—which are very close, but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe.
 
Despite these caveats, occasionally large spikes will be seem in one platform and not the other (even with paid data), or the spikes will reach significantly difference prices. Where these spikes create the daily high or low, this can cause significantly different pivots levels. The more traded the stock is, the less the difference tends to be. Highly traded stocks are usually within a few cents (but even they occasionally have large differences in spikes). There is nothing that can be done about this.  
The 6th Camarilla level does not have a standard definition and may not match the level shown on other platforms. It does match the definition used by DAS Trader Pro.
Replay mode for stocks does not work correctly for tickers with an official premarket. This is due to some important Pine Script variables provided by the TradingView platform and used by the script not being assigned correct values in replay mode. Futures do not use these variables, so they should work in replay mode. 
The indicator is an intraday indicator (despite also being able to show weekly and monthly pivots on an intraday chart). It deactivates on a daily timeframe and higher. Sub-minute timeframes are also not supported.
The indicator was developed and tested for US/European stocks, US futures and EURUSD forex and BTCUSD. It should work as intended for stocks and futures in different countries, and for all forex and crypto, but this is tested as much as the security it was developed for.
█ DISCLAIMER
This indicator is provided for information only and should not be used in isolation without a good understand of the system and without considering other factors. You should not take trades using real money based solely on what this indicator says. Any trades you take are entirely at your own risk.
Weekend GapsIdentify unfilled gaps between the close of one candle and the opening of the next. Optimised for weekends by highlighting friday gaps with a triangle and bold horizontal ray.  Depending on the price action required to fill it, they are marked in red or green. 
Buying/Selling Detector [BruzX]█ OVERVIEW
This indicator aims to provide a visual and numerical representation of the strength of buying or selling of a security. It does this by calculating and accumulating a bar-by-bar metric and is based on a a conjecture (explained in the Concepts section) about how price and volume reacts to buying and selling behaviour. 
█ FEATURES
 
 Shows strength of buying/selling (on a scale between -100 to +100, before smoothing) on a separate plot and on the info box
 Shows the metric on three different timescales: since the session open, since a user defined start time and using a rolling relative moving average over the last bars.
 The info box has a background colour corresponding to the strength of buying/selling
 
█ HOW TO USE
When the indicator is added it appears in a separate pane showing a historical plot of the metric values. If preferred, only the info box can be used as an overlay on the main chart. To do this, disable all the lines in the settings, and more the indicator to the main pane. 
There are several options:
 
 Boost: This controls the strength of a non-linear operation applied to price bars.
 Volume factor: This controls to what extent the volume influences the the metric.
  Rolling RMA length (bars): This controls the number of bars used for the rolling relative moving average metric.
 Scaling factor RMA length (days): This controls the metric scaling so that it remains within -100 and +100 (note: some visual smoothing methods, notable HMA, can cause spikes outside this range). It specifies the number of days back to use to calculating a "usual" metric value for current bar.
  User Start Time: This controls the start time for accumulating the user metric. Default is 10:30, which is the end of the initial balance. Another interesting start time could be, for example, 09:31 to exclude MOO price action and volume.
 Smoothing: Purely visual smoothing to prevent rapid swings.
 Neutral band: Controls the width of the visual neutral level (coloured yellow by default, user can change this), where the values of the metric are considered insignificant. Default is 10, meaning metric values between -10 and +10 will be yellow.
 
One way to use the indicator is to watch for divergences between highs/lows on the indicator compared to high/low on the price, in a similar to how MACD is sometimes used. For example, if the price makes a new high, but this indicator does not, it may indicate a pending reversal. 
Another frequent pattern is to watch for spikes, which often indicate an absorption or at least the start of a consolidation (depending on what happens after the spike). Absorption often leads to a reversal, whereas consolidations often continue, e.g. an ABCD or flag pattern.
█ CONCEPTS
There is a conjecture behind the indicator which states that dominant buying or selling can identified by the price and volume behaviour. It is a concept used in Volume Price Analysis, as popularised by the author Anna Coulling. Basically it says that dominant buying, for example, can be identified by rapid upward price movement (compared to the speed of downward movement) on high volume. To create a metric from this concept a non-linear operation (controlled by the Boost option) is used to quantify the strength of the price movement. The effect of volume is then also applied to this metric and a non-linear operation is used for this too (controlled by the Volume factor option).
█ DISCLAIMER
This indicator is provided for information only and should not be used in isolation without considering other factors. You should not take trades using real money based solely on what this indicator says. Any trades you take are entirely at your own risk.
EMA100 Breakout  by shubhThis indicator is a clean, price-action-based breakout system designed for disciplined trend trading on any timeframe — especially for Nifty and Bank Nifty spot, futures, and options charts.
It uses a single 100-period EMA to define trend direction and waits for decisive candle closes across the EMA to trigger potential entries.
The logic ensures only one active trade at a time, enforcing patience and clarity in decision-making.
⚙️ Core Logic
Buy Setup
A bullish candle closes above the 100 EMA while its open was below the EMA.
Entry occurs at candle close.
Stop-Loss (SL): Low of the signal candle.
Target (TP): 4 × the SL distance (Risk : Reward = 1 : 4).
Sell Setup
A bearish candle closes below the 100 EMA while its open was above the EMA.
Entry occurs at candle close.
Stop-Loss (SL): High of the signal candle.
Target (TP): 4 × the SL distance.
Trade Management
Only one trade may run at a time (either long or short).
New signals are ignored until the current position hits SL or TP.
Transparent labels show Entry, SL, and TP levels on chart.
Dotted lines visualize active Stop-Loss (red) and Target (green).
Exit markers:
✅ Target Hit
❌ Stop Loss Hit
🧠 Key Advantages
Simple and transparent trend-following logic.
Enforces disciplined “one-trade-at-a-time” behavior.
High risk-to-reward (1 : 4).
Works across timeframes — 5 min to Daily.
Ideal for intraday and positional setups.
📊 Suggested Use
Apply on Nifty / Bank Nifty spot or futures charts.
Works on any instrument with clear momentum swings.
Best confirmation when EMA 100 acts as dynamic support/resistance.
⚠️ Disclaimer
This script is for educational and research purposes only.
It is not financial advice or an invitation to trade.
Always backtest thoroughly and manage risk responsibly before applying in live markets.
Ghost Candles [BruzX]█ OVERVIEW
This indicator provides a visual representation of volume intensity by adjusting bar transparency based on statistical volume analysis. Unlike traditional volume indicators that only show volume bars below the chart, Ghost Candles can integrates volume information directly into the price bars themselves.
█ FEATURES
 
 Visual Volume Integration: Volume information is embedded directly in price bar appearance, reducing the need to constantly reference volume bars
 Statistical Significance: Uses z-score calculations rather than simple comparisons to identify truly unusual volume
 Customizable Colours: Separate colour inputs for bullish and bearish candles to match your chart theme
 Volume Bar Colouring: Optional synchronized colouring of volume bars to match candle transparency
 Moving Average Display: Shows the volume moving average line for reference
 Alert System: Built-in alerts for different volume intensity levels (Extra High, High) for both bullish and bearish movements
 
█ HOW TO USE
The indicator creates a new volume pane. This replaces the need for the based volume plot which can be removed. It also affects the transparency of the price bars based on volume. Both these features can be toggled on and off independently from each other in the setting.
All candles remain coloured according to their direction (green/red by default), with only the transparency changing based on volume intensity. Please note the the price bars will be coloured by the colours set in this indicator even if the price bar ghosting option is switched off.
This indicator is particularly useful for traders who prioritize volume analysis in their decision-making process but prefer a cleaner chart without multiple overlapping indicators.
 
 Breakout Confirmation: Fully opaque candles during breakouts indicate strong volume support
 Trend Strength: Series of transparent candles may indicate weakening trend momentum
 Support/Resistance Validation: High volume at key levels appears as prominent candles
 Volume Divergence: Easy identification when price moves occur on declining volume( increasingly transparent candles)
 
█ CONCEPTS
The indicator performs statistical analysis on volume data using a dual-period approach:
 
 A default 7-period (adjustable) lookback for calculating the volume moving average
 A default 20-period (adjustable) lookback for calculating standard deviation
 
It then computes a z-score (standard deviations from the mean) for each price bar's volume to determine its statistical significance. Based on configurable thresholds, price bar bodies are rendered with varying levels of transparency:
 
 Extra High Volume (z-score > 2 by default)): Fully opaque candles (0% transparency) (default)
 High Volume (z-score > 1.25 by default): 70% opacity (default)
 Normal Volume (z-score > 0.5 by default): 40% opacity (default)
 Below Normal Volume: 5% opacity(default)
 
█ ACKNOWLEDGMENT
This indicator is based on previous, no longer publicly available work by user "callstacked". It has been modified and improved. It is published as a public invite-only indicator with his permission. 
█ DISCLAIMER
This indicator is provided for information only and should not be used in isolation without considering other factors. You should not take trades using real money based solely on what this indicator says. Any trades you take are entirely at your own risk.
Central Limit Theorem Reversion IndicatorDear TV community, let me introduce you to the first-ever Central Limit Theorem indicator on TradingView.
The Central Limit Theorem is used in statistics and it can be quite useful in quant trading and understanding market behaviors. 
In short, the CLT states: "When you take repeated samples from any population and calculate their averages, those averages will form a normal (bell curve) distribution—no matter what the original data looks like."
In this CLT indicator, I use statistical theory to identify high-probability mean reversion opportunities in the markets. It calculates statistical confidence bands and z-scores to identify when price movements deviate significantly from their expected distribution, signaling potential reversion opportunities with quantifiable probability levels.
 Mathematical Foundation 
The Central Limit Theorem (CLT) says that when you average many data points together, those averages will form a predictable bell-curve pattern, even if the original data is completely random and unpredictable (which often is in the markets). This works no matter what you're measuring, and it gets more reliable as you use more data points.
Why using it for trading?
Individual price movements seem random and chaotic, but when we look at the average of many price movements, we can actually predict how they should behave statistically. This lets us spot when prices have moved "too far" from what's normal—and those extreme moves tend to snap back (mean reversion).
Key Formula:
Z = (X̄ - μ) / (σ / √n)
Where:
- X̄ = Sample mean (average return over n periods)
- μ = Population mean (long-term expected return)
- σ = Population standard deviation (volatility)
- n = Sample size
- σ/√n = Standard error of the mean
 How I Apply CLT 
Step 1: Calculate Returns
Measures how much price changed from one bar to the next (using logarithms for better statistical properties)
Step 2: Average Recent Returns
Takes the average of the last n returns (e.g., last 100 bars). This is your "sample mean."
Step 3: Find What's "Normal"
Looks at historical data to determine: a) What the typical average return should be (the long-term mean) and b) How volatile the market usually is (standard deviation)
Step 4: Calculate Standard Error
Determines how much sample averages naturally vary. Larger samples = smaller expected variation.
Step 5: Calculate Z-Score
Measures how unusual the current situation is.
Step 6: Draw Confidence Bands
Converts these statistical boundaries into actual price levels on your chart, showing where price is statistically expected to stay 95% and 99% of the time.
 Interpretation & Usage 
The Z-Score:
The z-score tells you how statistically unusual the current price deviation is:
|Z| < 1.0 → Normal behavior, no action
|Z| = 1.0 to 1.96 → Moderate deviation, watch closely
|Z| = 1.96 to 2.58 → Significant deviation (95%+), consider entry
|Z| > 2.58 → Extreme deviation (99%+), high probability setup
The Confidence Bands
- Upper Red Bands: 95% and 99% overbought zones → Expect mean reversion downward as the price is not likely to cross these lines. 
- Center Gray Line: Statistical expectation (fair value)
- Lower Blue Bands: 95% and 99% oversold zones → Expect mean reversion upward
Trading Logic:
- When price exceeds the upper 95% band (z-score > +1.96), there's only a 5% probability this is random noise → Strong sell/short signal
- When price falls below the lower 95% band (z-score < -1.96), there's a 95% statistical expectation of upward reversion → Strong buy/long signal
Background Gradient
The background color provides real-time visual feedback:
- Blue shades: Oversold conditions, expect upward reversion
- Red shades: Overbought conditions, expect downward reversion
- Intensity: Darker colors indicate stronger statistical significance
 Trading Strategy Examples 
Hypothetically, this is how the indicator could be used: 
- Long: Z-score < -1.96 (below 95% confidence band)
- Short: Z-score > +1.96 (above 95% confidence band)
- Take profit when price returns to center line (Z ≈ 0)
 Input Parameters 
Sample Size (n) - Default: 100
Lookback Period (m) - Default: 100
You can also create alerts based on the indicator. 
Final notes: 
- The indicator uses logarithmic returns for better statistical properties
- Converts statistical bands back to price space for practical use
- Adaptive volatility: Bands automatically widen in high volatility, narrow in low volatility
- No repainting: yay! All calculations use historical data only
Feedback is more than welcome! 
Henri
Market Breadth & Forward ReturnsThis indicator shows how future index performance has historically behaved after different levels of market breadth. The heatmap reveals which breadth zones have tended to precede better or worse forward returns. This is strictly a statistical conditional-expectation map, not a set of signals.
Scope
This is not meant for any arbitrary asset.
It is meant for broad indices only (S&P 500, Nasdaq 100, Dow, Russell, major sector families).
The breadth data is derived from index-level market universes.
Do not apply this on single stocks, crypto or FX. The method only makes sense with large diversified universes.
Core method
Daily breadth is normalized 0 to 100.
For each bar, six forward horizons are evaluated on the index: performance after X days.
Each observation is placed into a breadth bin.
Each bin/horizon pair has mean, variance and count computed.
Each bin/horizon mean is t-tested against zero.
Benjamini-Hochberg False Discovery Rate weighting allocates weight only to horizons where evidence exists.
Weighted horizon means are aggregated and annualized (252 trading days).
The map displays annualized conditional forward returns per breadth bin.
Why this is robust
Non-repainting. Breadth is in the past, returns are strictly future, lookahead_off.
Multiple horizons avoid single-window biases.
Variance, t-tests and FDR correction drastically reduce false positives.
Bins with poor sample size are visually suppressed to avoid over-interpretation.
How to use
Daily timeframe only.
Select the correct index family (S&P 500, Nasdaq 100, Russell…).
Bin size 5 to 10 points is a realistic range.
Min occurrences per bin ≥ 5 recommended.
FDR alpha 0.05 to 0.10 is a good working envelope.
Interpret as conditional expectations, not a forecast guarantee.
Notes
Do not use on random assets.
Do not extrapolate outside the chosen index family.
Always keep symbol and timeframe visible when publishing.
Indicator by Julien Eche
NWOG/NDOG - HOKO (Public Version)This indicator shows you the intervals between the start of the week and the new day, and it is useful for everyone and everyone can use it.
iulifx EMAThe indicator is built on an 8-period moving average that closely follows price action.
When a candle closes completely beyond the moving average, it’s a signal to be cautious, as this may indicate a potential trend reversal.
If only the wick of the candle reaches the moving average and then gets absorbed, it can be interpreted as a retest, suggesting an opportunity to enter the market in the current trend direction.
Additionally, candle colors reflect market volume conditions:
Blue candles indicate an overbought zone, showing strong buying pressure — a potential start of a bullish move.
Black candles indicate an oversold zone, reflecting strong selling pressure.
If one of these colored candles breaks the moving average with strength and momentum, it strongly suggests that a trend reversal is likely underway.
DRACO TOMAS EMA Trend Follower🐉 DRACO TOMAS EMA Trend Follower
Description:
The DRACO TOMAS EMA Trend Follower is a simple yet powerful trend-following strategy designed to capture directional moves based on exponential moving average (EMA) crossovers. It automatically detects trend changes and manages positions dynamically.
Core Logic:
The strategy uses two EMAs — a Fast EMA (default 12) and a Slow EMA (default 21) — to identify the market trend.
When the Fast EMA crosses above the Slow EMA, the strategy opens a long position, signaling bullish momentum.
When the Fast EMA crosses below the Slow EMA, the strategy opens a short position, signaling bearish momentum.
The color of the EMAs changes dynamically: green for uptrends, red for downtrends.
Exit rules:
Longs are closed when the EMAs turn red (trend reversal to bearish).
Shorts are closed when the EMAs turn green (trend reversal to bullish).
Position Sizing:
The system uses 10% of equity per trade by default, allowing flexible risk management and compounding.
Purpose:
Designed for traders who want a clean and efficient EMA crossover system to follow trends automatically on any timeframe or asset.
Best Used For:
Swing trading and trend confirmation
Identifying major directional shifts
Testing EMA-based momentum systems
Delta Arbitrage [by Oberlunar]Delta Arbitrage  turns fragmented exchange activity into a single, readable pulse. Each broker breathes at its own rhythm; this tool measures the share of “buy vs. sell” participation per broker, weights those brokers by liquidity/activity, and blends them into one continuous bias. The result is a chart you can read in seconds:  aqua  when buy-side dominates,  red  when sell-side does—stronger shades for stronger imbalances. 
Delta Arbitrage indicator supports several ways to colour candles based on the aggregated, cross-venue delta, so you can match visual feedback to the strength/consensus of flow.
 Examples 
 LONG opportunity — broad bullish agreement (>70% weighted Buy%) 
In this case, a LONG setup formed because a high proportion of brokers simultaneously pushed bullish volumetric deltas (>70%).
   
The corridor then stayed positive across multiple bars, with sustained long strength in agreement across venues:
Follow-through:  
   
 SHORT opportunity — broad bearish agreement (<20% weighted Buy%) 
Here, a SHORT setup formed because a high proportion of brokers simultaneously pushed bearish volumetric deltas (<20%).
  
The corridor remained negative over several bars, showing high-intensity short pressure in cross-venue agreement:
Follow-through:  
  
 Spectral mode 
You can enable the spectral mode, where range candles are colored only when multiple brokers are in volumetric agreement. You’ll see bullish pressure when weighted Buy% exceeds ~70%; when direction changes, range candles fade out and the lower tiles flip red to reflect rising short pressure.
Example:  
  
 How it’s built (in plain words) 
 
 For every selected broker, the script computes a robust Buy% over a rolling window and maps it to a signed bias (−1…+1).
 Venues are then combined with flexible weighting—Equal, Last Volume, SMA Volume, or Relative-to-SMA—to emphasise who is active  now .
 A small neutral band near zero calms noise; an intensity curve (gamma) makes strong pushes visually obvious without overshooting weak ones.
 
 What you see 
 
 Tinted bars/background  : the aggregate bias colours the chart so the prevailing side is instantly clear.
 Dashboard : a compact meter for each venue (SELL⇄BUY), its normalised weight, and exact Buy%/bias, plus a summary line for the weighted & unweighted aggregates. It shows whether one venue is dragging the whole market or if participation is broad.
 Lower panel (timeline) : a tile-per-bar strip using the same bias logic. Long, saturated runs = sustained participation; choppy, desaturated tiles around zero = balance/compression. The strip’s height is fixed vs. a recent range, so it remains legible on any zoom.
 
 How to act on it (minimal, auditable rules) 
 
 Entries: a one-shot arrow when the  weighted Buy%  crosses a high/low threshold (e.g., >70 for longs, <30 for shorts).
 Exits: trail the indicator itself—close when the weighted Buy% retraces by a set number of points from its peak (long) or trough (short).
 Context: prefer entries that align with a fresh, persistent run in the lower strip and supportive rows in the dashboard; fade/exit when the strip desaturates or flips.
  Do not operate when the average volumetric pressure (avg) is around 50% +- 15%
 
 Why it matters 
This is not tick-level microstructure; it’s a fast, stable cross-venue proxy designed for operational use on any timeframe. By unifying “who’s in charge, for how long, and how strongly,” the indicator reduces discretionary noise and turns participation into a tradable, testable context.
—  Oberlunar  👁 ★
Halt-Risk Guard (5-min / 10%) — TTP Safe🛑 Halt-Risk Guard (5-min / 10%) — TTP Safe
Stay clear of halts, invalidations, and over-extended moves.
🔍 Overview
The Halt-Risk Guard helps traders avoid sudden invalidations by monitoring price velocity over the past X minutes (default: 5 min) and flagging when moves exceed a configurable threshold (default: 10%).
Originally built to meet Trade The Pool (TTP) risk-management rules — where even non-halted 10% moves can void trades — this tool provides a clear, visual warning system and optional entry blocker.
⚙️ Key Features
✅ Halt-Risk Detection – Calculates both reference-based and swing-based (high↔low) percentage change over the chosen lookback period.
✅ TTP Safe Mode – “Swing mode” captures extreme volatility spikes that may invalidate trades even when the market stays open.
✅ Entry Blocker (optional) – Automatically greys candles and dims the background during risky conditions to prevent impulsive entries.
✅ Customisable Positioning – Move the on-chart info box to any corner of your chart (Top Left / Top Right / Bottom Left / Bottom Right).
✅ Clean Alerts –
⚠️ At/Above Threshold
✅ Back to Safe
⛔ Entry Blocker Active
✅ Visual Table Display – Compact dashboard shows current % move, lookback window, and threshold with intuitive green/red status.
✅ Strategy-Ready Output – A hidden 0/1 plot lets you block or filter trades in automated systems.
⚡ How It Works
Monitors the selected symbol using your chosen computation timeframe (recommended 1-minute).
Evaluates either:
REF mode: Close-to-close change over the lookback window.
SWING mode: High-to-low range within the same window.
If the move ≥ Threshold %, the script highlights a halt-risk condition and optionally activates the entry blocker.
🎨 Recommended Settings
Lookback: 5 minutes
Threshold: 10 %
Swing mode: ON (TTP-safe)
Computation timeframe: 1 minute
Entry blocker: ON
Dim background: ON
🧠 Use Cases
TTP and other prop-firm evaluations enforcing price-movement limits.
Volatility-based scalping systems to avoid chasing extended candles.
Strategy filters for algorithmic entries (e.g. pause trading during halt-risk windows).
⚠️ Disclaimer
This tool provides visual and alert-based guidance only. It does not guarantee compliance with any specific firm’s rules or eliminate trading risk. Always verify thresholds and rules with your broker or evaluation provider.
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Chart Info Display (HOKO) 2It displays 3 things on the screen in order: symbol, date, time frame. You can use it to capture educational videos to make your chart more beautiful, more private, and more practical. 






















