Contract Interest Turnover T3 [T69]Overview
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Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential).
Features
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- Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView.
- Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close.
- Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise.
- Status-line readouts: Displays normalized Volume and OI values for quick sanity checks.
- Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls.
How to Use
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1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists).
2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping.
3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual.
Configuration
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- Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile.
Under the Hood (Formulas & Logic)
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- Fetch OI
oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true.
If none is found, the script throws a clear runtime error.
- Normalize to price
vol_norm = volume / close
oi_norm = oiClose / close
This converts both to a common notional basis so their ratio is meaningful even as price changes.
- Turnover Rate
turnover = vol_norm / oi_norm
Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold.
Why Open Interest ≈ “Float” Proxy
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In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period.
Why Normalize by Price
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Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close:
- Puts them on a comparable notional footing.
- Prevents false spikes purely from price moves.
- Makes Turnover comparable across time even as price trends.
Advanced Tips
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- Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat.
- Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn.
- Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential.
Limitations
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- Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out.
- Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution.
- Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes.
Notes
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- Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed.
Credit
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- Concept & data: Built for TradingView data feeds.
- Acknowledgment: Credit to TradingView default indicator as requested.
- Source: This write-up reflects the logic present in your uploaded script.
Disclaimer
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Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
חפש סקריפטים עבור "gaps"
Enhanced Daily Sentiment & Auction Area Trading StrategyDetermine Daily Sentiment (Anchor Chart - Daily TF):
Analyze Yesterday's Daily Candle: Look at the previous day's daily candlestick (high, low, open, close). This is the "most important information."
Establish Bias: If yesterday's candle was bullish (closed higher), the bias for today is generally long (approx. 80% of the time). If bearish, the bias is short.
Moving Average Context: Note if the daily price is above or below its short-term moving average (e.g., 21 or 50 MA). This should align with the candle's bias (e.g., bullish daily candle above its MA).
Pre-Market & Opening Analysis (Information Gathering):
Check for Gaps: Observe if the market is gapping up or down in the pre-market session relative to yesterday's close. This provides an early clue to current sentiment.
Consider Overall Sentiment: Briefly factor in relevant news or overarching market sentiment (e.g., data releases, overall market feeling from yields, gold etc.). Trading Window: Focus primarily on trading within the first hour of the U.S. market open, as this is when volatility is typically highest, which the strategy relies on.
Setup 5-Minute Chart for Execution (Trading TF - 5-min):
Apply Moving Average: Use the same short-term moving average (e.g., 21 or 50 MA) as on the daily chart.
Seek Alignment (Crucial): The 5-minute chart's trend and price action relative to its MA must align with the daily chart's bias and MA relationship.
If Daily bias is LONG (price above daily MA), the 5-minute chart should also show price establishing itself above its 5-min MA, ideally with a similar "45-degree angle" uptrend.
If Daily bias is SHORT (price below daily MA), the 5-minute chart should also show price establishing itself below its 5-min MA, with a similar downtrend. If there's no clear alignment between the daily and 5-minute chart structure/MA, do not trade.
Identify the "Auction Area" (Value/Congestion) on the 5-Minute Chart:
This is a recent area of congestion, a small support/resistance flip, or where price has paused, consolidated, and is retesting, often near the 5-minute MA.
Uptrend (Long Bias): Look for a pullback (a small "V" shape dip) towards the 5-minute MA or a recent small resistance-turned-support area. This is the "auction retest" before a potential breakout higher.
Downtrend (Short Bias): Look for a pullback rally (an inverted "V" shape) towards the 5-minute MA or a recent small support-turned-resistance area.
First Presented Fair Value Gap [TakingProphets]🧠 Indicator Purpose:
The "First Presented Fair Value Gap" (FPFVG) by Taking Prophets is a precision tool designed for traders utilizing Inner Circle Trader (ICT) concepts. It automatically detects and highlights the first valid Fair Value Gap (FVG) that forms between 9:30 AM and 10:00 AM New York time — one of the most critical windows in ICT-based trading frameworks.
It also plots the Opening Range Equilibrium (the average of the previous day's 4:14 PM close and today's 9:30 AM open) — a key ICT reference point for premium/discount analysis.
🌟 What Makes This Indicator Unique:
This script is highly specialized for early session trading and offers:
Automatic Detection: Finds the first Fair Value Gap after the 9:30 AM NYSE open.
Clear Visualization: Highlights the FVG zone and labels it with optional time stamps.
Equilibrium Line: Plots the Opening Range Equilibrium for instant premium/discount context.
Time-Sensitive Logic: Limits detection to the most volatile early session (9:30 AM - 10:00 AM).
Extension Options: You can extend both the FVG box and Equilibrium line out to 3:45 PM (end of major session liquidity).
⚙️ How the Indicator Works (Detailed):
Pre-Market Setup:
Captures the previous day's 4:14 PM close.
Captures today's 9:30 AM open.
Calculates the Equilibrium (midpoint between the two).
After 9:30 AM (New York Time):
Monitors each 1-minute candle for the creation of a Fair Value Gap:
Bullish FVG: Low of the current candle is above the high two candles ago.
Bearish FVG: High of the current candle is below the low two candles ago.
The first valid gap is boxed and optionally labeled.
Post-Detection Management:
The FVG box and label extend forward in time until 3:45 PM (or the current time, based on settings).
If enabled, the Equilibrium line and label also extend to help with premium/discount analysis.
🎯 How to Use It:
Step 1: Wait for market open (9:30 AM New York time).
Step 2: Watch for the first presented FVG on the 1-minute chart.
Step 3: Use the FPFVG zone to guide entries (retracements, rejections, or breaks).
Step 4: Use the Opening Range Equilibrium to determine premium vs. discount conditions:
Price above Equilibrium = Premium market.
Price below Equilibrium = Discount market.
Best Application:
In combination with ICT Killzones, especially during the London or New York Open.
When framing intraday bias and identifying optimal trade locations based on liquidity theory.
🔎 Underlying Concepts:
Fair Value Gaps: Price imbalances where liquidity is likely inefficient and future rebalancing can occur.
Opening Range Equilibrium: Key ICT price anchor used to separate premium and discount conditions post-open.
Time-Gated Setup: Limits focus to early session price action, aligning with inner circle trader timing models.
🎨 Customization Options:
FVG color, label visibility, and label size.
Opening Range Equilibrium line visibility and label styling.
Extend lines and boxes to 3:45 PM automatically for full session tracking.
✅ Recommended for:
Traders applying Inner Circle Trader (ICT) models.
Intraday scalpers or day traders trading the New York session open.
Traders who want to frame early session bias and liquidity traps effectively.
CLS Patterns + Price Action Levels📌 Key Features:
✅ CLS Candle Patterns Detection:
CLS Type 1 (Sweeps & Closes Opposite) – Confirms liquidity sweeps with opposite direction close.
CLS Type 2 (Sweeps but No Opposite Close) – Identifies liquidity traps without full reversal.
CLS Type 3 (Engulfing Candles) – Strong momentum shifts with engulfing price action.
CLS Type 4 (Order Block Reversals) – Institutional order flow recognition.
✅ Institutional & Price Action Levels:
250 Pip Institutional Levels – Major S&R zones for Forex & Indices.
Minor Quarter Points (25 Pips) – Intraday precision for refined entries.
✅ Liquidity Imbalance & Order Flow Gaps:
Detects early impulse moves & liquidity voids
Highlights areas of market inefficiency & potential reversals
✅ Higher Timeframe EMA for Trend Confirmation:
Customizable Weekly 3 EMA Overlay
Dynamic color change based on price action
✅ Built-in Alerts for CLS Patterns:
Real-time alerts for CLS buy/sell signals
Configurable notifications for trade execution
🎯 How to Use:
1️⃣ Enable CLS Pattern Signals to spot liquidity sweep candles with directional confirmation.
2️⃣ Use Institutional & QP Levels to identify key areas where price is likely to react.
3️⃣ Monitor Liquidity Imbalances to detect inefficient price moves that may fill.
4️⃣ Confirm Trend with HTF EMA to trade with momentum.
5️⃣ Set Alerts for CLS patterns and key price levels to stay ahead of the market.
This indicator is ideal for Forex, Indices, and Crypto traders looking to refine their entries with precise price action confirmations.
PLN IndexThe "PLN Index" is a custom indicator developed for TradingView using Pine Script (version 6). It tracks the relative strength of the Polish Zloty (PLN) against a basket of four major currencies: the U.S. Dollar (USD), Swiss Franc (CHF), Euro (EUR), and British Pound (GBP), with each currency contributing an equal weight of 25%. Modeled after the Polish Zloty Index (PLN_I) concept, this indicator offers traders a tool to monitor PLN’s performance across various forex market conditions.
How It Works
The indicator fetches closing prices for the currency pairs USDPLN, CHFPLN, EURPLN, and GBPPLN from TradingView’s data provider (FX_IDC). These pairs represent the amount of PLN needed to purchase one unit of each respective foreign currency. To measure PLN’s strength, the script inverts these rates (e.g., PLNUSD = 1/USDPLN) and calculates the geometric mean of the resulting values using the formula geom_mean = (PLNUSD * PLNCHF * PLNEUR * PLNGBP)^(0.25). The result is then normalized to a base value of 100 at the first bar with complete data, allowing users to observe relative changes in PLN’s value over time. A rising index indicates PLN appreciation, while a falling index suggests depreciation against the basket.
Key Features
Data Inputs: Retrieves closing prices for USDPLN, CHFPLN, EURPLN, and GBPPLN on the selected timeframe.
Calculation: Computes the geometric mean of the inverted exchange rates and normalizes it to 100 based on the first valid bar.
Visualization: Plots the index as a blue line with a linewidth of 2 on a separate chart pane (non-overlay).
Robust Normalization: Normalizes the index using the first bar where all data is available, improving reliability across different timeframes.
Usage
The PLN Index is useful for:
Evaluating the Polish Zloty’s strength or weakness relative to a balanced currency basket.
Identifying long-term trends or short-term shifts in PLN’s value for forex trading or economic analysis.
Supporting technical analysis when paired with additional indicators, such as moving averages or oscillators.
Limitations
Data Dependency: The indicator relies on the availability of historical data for all four currency pairs. Missing data (e.g., on higher timeframes like D1 or W1) may prevent accurate plotting.
Relative Normalization: Unlike the official PLN_I, which uses a fixed historical base date (e.g., January 2, 1984), this indicator normalizes to 100 at the first valid bar, making it a relative rather than absolute measure.
Potential Data Gaps: On higher timeframes, inconsistencies or limited historical data from the FX_IDC provider may result in incomplete index values.
Notes
This version of the PLN Index includes an improved normalization method that sets the base value (100) at the first bar with valid data, enhancing its adaptability compared to earlier iterations. It performs best on timeframes up to H4, where data availability is generally consistent. For higher timeframes, users should verify data completeness to ensure reliable results.
Luma Signals – Orderflow ImbalanceLuma Signals – Imbalance Detector
The Luma Signals – Imbalance Detector highlights price inefficiencies where buying or selling pressure dominates, causing rapid market movements. These imbalances can act as potential support and resistance zones or indicate areas where liquidity needs to be filled.
🔹 Key Features:
✔ Identifies Bullish & Bearish Imbalances – Blue candles indicate strong buying pressure, red candles indicate strong selling pressure.
✔ Clear Market Structure – Normal bullish candles appear in light gray, normal bearish candles in white.
✔ Dynamic Orderflow Analysis – Helps traders spot high-volatility price movements and potential reversals.
✔ No repainting & lightweight – The indicator works in real-time without altering past data.
📊 How to Use:
Trend Confirmation: If an imbalance aligns with a strong trend, it may indicate trend continuation.
Liquidity Gaps: Price often revisits imbalances before continuing its movement.
Scalping & Intraday Trading: Identify key reaction points for short-term trades.
Previous 5 Day Market CloseThis indicator can be used with a strategy known as gap close reversal. Gap close reversal is a trading strategy based on the idea that when a market experiences a gap (a significant difference between the previous day's close and the current day's open), there's a tendency for the price to fill or "close" the gap by moving back to the previous day's closing price. Traders often look for such opportunities as potential entry or exit points.
Here's how you can use this script for gap close reversal trading:
Identify Gaps: Look for instances where the current day's open price significantly deviates from the previous day's close, resulting in a gap on the chart. This could be a gap-up (where the open is higher than the previous close) or a gap-down (where the open is lower than the previous close).
Plot the Script: Apply the "Past 5 Days Close" script to your chart. This will plot the closing prices of the past five trading days as lines on the chart. These lines will serve as reference points for potential gap close levels.
Look for Reversal Signals: Monitor the price action as the market opens and observe how it behaves in relation to the previous day's close and the lines plotted by the script. If the price starts to move towards one of the past closing prices after a gap, it could indicate a potential reversal.
Confirm with Other Indicators: Use additional technical indicators or chart patterns to confirm the potential reversal signal. For example, you might look for bullish or bearish candlestick patterns, support or resistance levels, or momentum indicators aligning with the reversal.
Price Range Volume Profile [Pt]█ Introduction
The Price Range Volume Profile (PRVP) is a revolutionary indicator. This tool stands out from its peers due to its unique ability to capture the entire price chart history, thus providing a comprehensive volume profile of the entire asset's trading history, as available on TradingView chart. It's worth noting that I believe this tool is the first of its kind to accomplish such a feat. A much recommended tool if you are a volume profile trader.
█ Main Features
► Historical Lookback: This feature dives deep into the past, grasping all the historical data of an asset. It's equipped to handle up to 20,000 bars, although users without a premium TradingView account are advised to keep it at a maximum of 10,000 bars, or just use the "Full Historical Lookback" feature.
► Volume Profile / POC: Displays the distribution of volume across price levels for the selected price range. The Point of Control (POC), which is the price level with the highest traded volume, is also highlighted.
► Customization: Users have the flexibility to adjust the profile's appearance, including profile width, horizontal offset, and the option to fill the background of the profile range.
► Time Weighting: This feature allows users to give more weight to recent trading activity, which can be especially useful for intraday traders or during times of high volatility. Note that this feature will impact the volume profile and POC level.
► Settings Table: A settings table is displayed on the chart for users to quickly reference their input parameters.
█ Input Parameters
► Lookback Timeframe: Determines the period for which the volume profile is generated.
► Price Range: The percentage distance to consider for the profile, adjusted above and below the current closing price.
► Profile Step size: The granularity of the volume profile. Users can opt for automatic step size based on a predefined calculation or set their preferred tick step size.
► Historical Bars Lookback: Determines the number of bars to include in the volume profile calculation.
► Profile Visuals: Adjust the appearance and layout of the volume profile on the chart.
► Extra: Additional settings including the display of a settings table and its location.
█ Basic Understanding of Volume Profile - How to use PRVP?
Volume Profile is a valuable tool for traders who want insights into where the majority of trading activity has occurred. Here are some tips to make the most of it:
► Understand the Basics: Before using the Volume Profile, ensure you understand the difference between it and the standard volume histogram. While both represent volume, the former displays it against price while the latter shows it against time.
► Identify High Volume Nodes (HVN) and Low Volume Nodes (LVN):
◊ HVN: Areas where there's a lot of trading activity and where the price has spent a lot of time. These areas can act as strong support or resistance.
◊ LVN: Areas where there's a lack of trading activity. Prices might move quickly through these areas, and they can act as potential breakpoints or accelerators for price movement.
► Locate the Point of Control (POC): This is the price level with the highest traded volume for a specified period. It often acts as a magnet for price, and it can serve as a pivot or reference point.
► Trend Confirmation: A shift in the volume profile from one price level to another can confirm a trend. For instance, if higher volume starts to build at higher price levels, it may indicate a strong uptrend.
► Watch for Volume Gaps: If there's a significant gap in the volume profile, prices may move quickly through these levels as there's little historical trading activity to act as support or resistance.
█ Other Usage Tips
◊ For optimal performance, ensure that the chosen timeframe aligns closely with the chart timeframe. Differences in timeframes may lead to minor discrepancies in the volume profile.
◊ To address any errors arising from too many levels displayed on the volume profile, consider increasing the Profile Step size or reducing the Price Range.
Volume Tick Analysis and Order Blocks [Tcs] | ALGOThe indicator has been developed to provide the most complete vision possible of liquidity areas, highly traded past price levels, and how volume tick analysis affects price action.
It helps to draw on all the areas that generate a price move, or market inefficiency.
The indicator has different features:
- ORDER BLOCKS : The indicator draws different kinds of order blocks on the chart.
• Real valuable order blocks - where the price reaction is more probable. It's define by a calculation of the quantity tick volume exchanged between bulls and bears on a price level, which can create a candle event, such as engulfing candles. For this motivation the order blocks plotted will be a real valuable area.
The threshold can be adjusted based on the strategy's needs, in particular this set up has been added to adapt the strategy on different kind of asset. For Cryptocurrency for example the best threshold are between 0.5 and 1. The lower the value, the fewer order blocks will be plotted, but they will be more valuable. It's possible to show the volume exchanged, the percentage, and who controlled the valuable area, bulls or bears, on these order blocks.
For a better visualization, the order block will change color (more transparent) after it will be violated for the first time, and it will be deleted once the price will break trough it.
All order blocks can be extend
GENERAL OB VISUALIZATION
EXAMPLE OF TRADES ON OB
It's also possible to plot the footprint of past and invalidated order blocks on the chart, which can help to draw lines for future valuable areas.
• Secondary order blocks are less valuable order blocks where the probability of a price reaction is less. Usually, they work for small retracements and are more useful for scalpers. the concept is the same as Primary order blocks but without a too restricted calculation of tick volume exchanged
• LIQUIDITY GRABS: Liquidity grabs are plotted on candles that try to invalidate an order block, but high volumes move them to the opposite direction. They happen when opposite players try to move the market in the opposite direction. They are calculated only on primary order blocks.
A good entry usually is when a liquidity grab appear, the price come in the liquidity grab area to fry liquidity and price close again in the liquidity grab area.
• VOLUME VSA: All candles with high and above-average volume are plotted on the chart for both bull and bear volume. It highlights more than average volume, high volume, and extreme volume with different colors. This can help to spot good entries or detect beginning/end of a trend. For example abnormal high volume at the end of a big price movement, in the same direction, can define the end of a trend. If same situation of abnormal high volume, but in the opposite direction of the trend, could define the beginning of a market inversion.
• FAIR VALUE GAPS: It highlights all the inefficiencies of market moves, which can be used as retracement or price return areas. Here, they can be adjusted based on how effective they are adjusting the volume threshold. Bulls and bears FVG are defined in different colors. More effective FVG are plotted in less transparent colors, and you will find three levels of effectiveness.
Both OB and FVG will change color once the price retraces on them, and they will be removed when they are invalidated.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
TTP RSI drawdownThis indicator offers a way to trade the RSI drawdown combined together with its value.
Parameters
- Lookback. How many candles in the past are used to calculate the drawdown of the RSI
- RSI strength and timeframe
- Lower and Upper RSI limits. These are used to colour the drawdown chart, the greener the closed to your specified lower limit and the more red the closer to the upper limit. These limits are also used to confirm that the signal occurs with an RSI value within the given limits.
- Signal threshold. Buy signals will only be triggered when the drawdown of the RSI is higher than the provided value.
Buy signals
The signal will trigger in white color and will plot a 1 to allow backtesting.
TradingView alerts can be set for buy signals.
Buy signals will be trigger only when:
- RSI value is within the provided lower and upper limit values
- RSI drawdown is higher than the provided threshold.
Features
- Back-testable (plots 1 for buy)
- TV alerts
Chart modes
- show RSI
- show highest RSI
- show RSI drawdown
In the short time I've been playing with this new idea I noticed it can be used both for swing trading and for long term analysis like for example finding market bottoms.
Here's an example setup to find BTC past market cycle bottoms:
- load a chart with INDEX:BTCUSD
- set the chart timeframe to daily
- set the chart to logarithmic scale
- zoom out to see the full chart
- add the RSI drawdown indicator
- use the following parameters in the indicator: timeframe: week, gaps: off, show RSI drawdown: on, lookback:30, length:14, lower: 20, upper: 30: threshold: 40
ATR BandsIn many strategies, it's quite common to use a scaled ATR to help define a stop-loss, and it's not uncommon to use it for take-profit targets as well. While it's possible to use the built-in ATR indicator and manually calculate the offset value, we felt this wasn't particularly intuitive or efficient, and could lead to the potential for miscalculations. And while there are quite a few indicators that plot ATR bands in some form or another already on TV, we could not find one that actually performed the exact way that we wanted. They all had at least one of the following gaps:
The ATR offset was not configurable (usually hard-coded to be based off the high or low, while we generally prefer to use close)
It would only print a single band (either the upper or lower), which would require the same indicator to be added twice
The ATR scaling factor was either not configurable or only stepped in whole numbers (often time fractional factors like 1.5 yield better results)
To that end, we took to making this enhanced version to meet all of the above requirements. While we were doing so, we decided to take this opportunity to also make some non-functional enhancements as well:
Updated the indicator to the most recent version of Pine
Updated the indicator definition to allow alternate (non-chart) timeframe usage
Made the input types explicitly defined to improve consistency
Updated the inputs with appropriate minimum values and step sizes where appropriate
Separated settings into logical groups
Added helptext to the indicator settings noting usage and common settings values
Explicitly titled the on-chart plots of the ATR bands so that they can more easily be identified and referenced in other indicators/scripts, as well as the Data Window
Food for thought : When looking at some of the behaviors of these ATR bands, you can see that when price first levels out, you can draw a "consolidation zone" from the first peak of the upper ATR band to the first valley of the lower ATR band that price will generally respect. Look for price to break and close outside of that zone. When that happens, price will usually (but not always) make a notable move in that direction, which can be used as either a potential trigger or as an additional confluence with other indicators/price action.
Finally, while we have made what we feel are some noteworthy updates and enhancements to this indicator, and have every intention of continuing to do so as we find worthy opportunities for enhancement, credit is still due to the original author: AlexanderTeaH
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
FVG Tracker Pro (@JP7FX)FVG Tracker Pro (JP7FX)
FVG Tracker Pro monitors single timeframe Fair Value Gaps and tracks their behaviour over time. It shows when an FVG forms, when it closes and which candle completes the mitigation.
Features
• Tracks old FVGs so users can review how price interacted with previous gaps.
• Highlights when an FVG is fully mitigated and identifies the closing candle.
• Alerts for new FVG creation and FVG mitigation.
• Optional bar colours, visibility filters and 50 percent lines.
• Works on any asset and timeframe.
How It Helps
• Allows users to follow the lifecycle of each FVG.
• Reduces manual work by marking creation and mitigation automatically.
• Helps traders who study Smart Money concepts and price inefficiencies.
Alerts
Alert conditions are included for:
• New FVG creation
• Full mitigation of an FVG
Users can tailor alert settings to match their preference.
Smart Money Concepts [Modern Neon V2]This is a visually overhauled version of the popular Smart Money Concepts (SMC) indicator, designed specifically for traders who prefer Dark Mode, High Contrast, and Maximum Visibility.
While the underlying logic preserves the robust structure detection of the original LuxAlgo script, the visual presentation has been completely modernized. The default "dull" colors have been replaced with a vibrant Cyberpunk Neon palette, and text labels have been significantly upscaled to ensure market structure is readable at a glance, even on high-resolution monitors.
🎨 Visual & Style Enhancements:
Neon Palette:
Bullish: Electric Cyan (#00F5FF)
Bearish: Neon Hot Pink (#FF007F)
Neutral/Levels: Bright Gold (#FFD700)
High Visibility Text: Market Structure labels (BOS, CHoCH, HH/LL) have been upgraded from "Tiny" to Normal size. Key Swing Points (Strong High/Low) are set to Large.
Modern "Solid" Blocks: Order Blocks and FVGs feature reduced transparency (60%) for a bolder, solid look that doesn't get washed out on dark backgrounds.
Decluttered: Removed unnecessary "Small" elements and dotted lines to focus on price action.
🛠 Key Features:
Real-Time Structure: Automatic detection of Internal and Swing structure (BOS & CHoCH) with trend coloring.
Order Blocks: Highlights Bullish and Bearish Order Blocks with new mitigation logic.
Fair Value Gaps (FVG): Auto-threshold detection for high-probability gaps.
Premium & Discount Zones: Automatically plots equilibrium zones for better entry targeting.
Multi-Timeframe Levels: Display Daily, Weekly, and Monthly highs/lows.
Trend Dashboard: (If you added the dashboard code) A clean panel displaying the current Internal and Swing trend bias.
CREDITS & LICENSE: This script is a modification of the "Smart Money Concepts " indicator.
Original Author: © LuxAlgo
License: Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
creativecommons.org
Quasimodo Pattern Strategy Back Test [TradingFinder] QM Trading🔵 Introduction
The QM pattern, also known as the Quasimodo pattern, is one of the popular patterns in price action, and it is often used by technical analysts. The QM pattern is used to identify trend reversals and provides a very good risk-to-reward ratio. One of the advantages of the QM pattern is its high frequency and visibility in charts.
Additionally, due to its strength, it is highly profitable, and as mentioned, its risk-to-reward ratio is very good. The QM pattern is highly popular among traders in supply and demand, and traders also use this pattern.
The Price Action QM pattern, like other Price Action patterns, has two types: Bullish QM and Bearish QM patterns. To identify this pattern, you need to be familiar with its types to recognize it.
🔵 Identifying the QM Pattern
🟣 Bullish QM
In the bullish QM pattern, as you can see in the image below, an LL and HH are formed. As you can see, the neckline is marked as a dashed line. When the price reaches this range, it will start its upward movement.
🟣 Bearish QM
The Price Action QM pattern also has a bearish pattern. As you can see in the image below, initially, an HH and LL are formed. The neckline in this image is the dashed line, and when the LL is formed, the price reaches this neckline. However, it cannot pass it, and the downward trend resumes.
🔵 How to Use
The Quasimodo pattern is one of the clearest structures used to identify market reversals. It is built around the concept of a structural break followed by a pullback into an area of trapped liquidity. Instead of relying on lagging indicators, this pattern focuses purely on price action and how the market reacts after exhausting one side of liquidity. When understood correctly, it provides traders with precise entry points at the transition between trend phases.
🟣 Bullish Quasimodo
A bullish Quasimodo forms after a clear downtrend when sellers start losing control. The market continues to make lower lows until a sudden higher high appears, signaling that buyers are entering with strength. Price then pulls back to retest the previous low, creating what is known as the Quasimodo low.
This area often becomes the final trap for sellers before the market shifts upward. A visible rejection or displacement from this zone confirms bullish momentum. Traders usually place entries near this level, stops below the low, and targets at previous highs or the next resistance zone. Combining the setup with demand zones or Fair Value Gaps increases its accuracy.
🟣 Bearish Quasimodo
A bearish Quasimodo forms near the top of an uptrend when buyers begin to lose strength. The market continues to make higher highs until a sudden lower low breaks the bullish structure, showing that selling pressure is entering the market. Price then retraces upward to retest the previous high, forming the Quasimodo high, where breakout buyers are often trapped.
Once rejection appears at this level, it indicates a likely reversal. Traders can enter short near this area, with stop-losses placed above the high and targets near the next support or previous lows. The setup gains more reliability when aligned with supply zones, SMT divergence, or bearish Fair Value Gaps.
🔵 Setting
Pivot Period : You can use this parameter to use your desired period to identify the QM pattern. By default, this parameter is set to the number 5.
Take Profit Mode : You can choose your desired Take Profit in three ways. Based on the logic of the QM strategy, you can select two Take Profit levels, TP1 and TP2. You can also choose your take profit based on the Reward to Risk ratio. You must enter your desired R/R in the Reward to Risk Ratio parameter.
Stop Loss Refine : The loss limit of the QM strategy is based on its logic on the Head pattern. You can refine it using the ATR Refine option to prevent Stop Hunt. You can enter your desired coefficient in the Stop Loss ATR Adjustment Coefficient parameter.
Reward to Risk Ratio : If you set Take Profit Mode to R/R, you must enter your desired R/R here. For example, if your loss limit is 10 pips and you set R/R to 2, your take profit will be reached when the price is 20 pips away from your entry point.
Stop Loss ATR Adjustment Coefficient : If you set Stop Loss Refine to ATR Refine, you must adjust your loss limit coefficient here. For example, if your buy position's loss limit is at the price of 1000, and your ATR is 10, if you set Stop Loss ATR Adjustment Coefficient to 2, your loss limit will be at the price of 980.
Entry Level Validity : Determines how long the Entry level remains valid. The higher the level, the longer the entry level will remain valid. By default it is 2 and it can be set between 2 and 15.
🔵 Results
The following examples show the backtest results of the Quasimodo (QM) strategy in action. Each image is based on specific settings for the symbol, timeframe, and input parameters, illustrating how the QM logic can generate signals under different market conditions. The detailed configuration for each backtest is also displayed on the image.
⚠ Important Note : Even with identical settings and the same symbol, results may vary slightly across different brokers due to data feed variations and pricing differences.
Default Properties of Backtests :
OANDA:XAUUSD | TimeFrame: 5min | Duration: 1 Year :
BINANCE:BTCUSD | TimeFrame: 5min | Duration: 1 Year :
CAPITALCOM:US30 | TimeFrame: 5min | Duration: 1 Year :
NASDAQ:QQQ | TimeFrame: 5min | Duration: 5 Year :
OANDA:EURUSD | TimeFrame: 5min | Duration: 5 Year :
PEPPERSTONE:US500 | TimeFrame: 5min | Duration: 5 Year :
WorldCup Dashboard + Institutional Sessions© 2025 NewMeta™ — Educational use only.
# Full, Premium Description
## WorldCup Dashboard + Institutional Sessions
**A trade-ready, intraday framework that combines market structure, real flow, and institutional timing.**
This toolkit fuses **Institutional Sessions** with a **price–volume decision engine** so you can see *who is active*, *where value sits*, and *whether the drive is real*. You get: **CVD/Delta**, volume-weighted **Momentum**, **Aggression** spikes, **FVG (MTF)** with nearest side, **Daily Volume Profile (VAH/POC/VAL)**, **ATR regime**, a **24h position gauge**, classic **candle patterns**, IBH/IBL + **first-hour “true close”** lines, and a **10-vote confluence scoreboard**—all in one view.
---
## What’s inside (and how to trade it)
### 🌍 Institutional Sessions (Sydney • Tokyo • London • New York)
* Session boxes + a highlighted **first hour**.
* Plots the **true close** (first-hour close) as a running line with a label.
**Use:** Many desks anchor risk to this print. Above = bullish bias; below = bearish. **IBH/IBL** breaks during London/NY carry the most signal.
### 📊 CVD / Delta (Flow)
* Net buyer vs seller pressure with smooth trend state.
**Use:** **Rising CVD + acceptance above mid/POC** confirms continuation. Bearish price + rising CVD = caution (possible absorption).
### ⚡ Volume-Weighted Momentum
* Momentum adjusted by participation quality (volume).
**Use:** Momentum>MA and >0 → trend drive is “real”; <0 and falling → distribution risk.
### 🔥 Aggression Detector
* ROC × normalized volume × wick factor to flag **forceful** candles.
**Use:** On spikes, avoid fading blindly—wait for pullbacks into **aligned FVG** or for aggression to cool.
### 🟦🟪 Fair Value Gaps (with MTF)
* Detects up to 3 recent FVGs and marks the **nearest** side to price.
**Use:** Trend pullbacks into **bullish FVG** for longs; bounces into **bearish FVG** for shorts. Optional threshold to filter weak gaps.
### 🧭 24h Gauge (positioning)
* Shows current price across the 24h low⇢high with a mid reference.
**Use:** Above mid and pushing upper third = momentum continuation setups; below mid = sell the rips bias.
### 🧱 Daily Volume Profile (manual per day)
* **VAH / POC / VAL** derived from discretized rows.
**Use:** **POC below** supports longs; **POC above** caps rallies. Fade VAH/VAL in ranges; treat them as break/hold levels in trends.
### 📈 ATR Regime
* **ATR vs ATR-avg** with direction and regime flag (**HIGH / NORMAL / LOW**).
**Use:** HIGH ⇒ give trades room & favor trend following. LOW ⇒ fade edges, scale targets.
### 🕯️ Candle Patterns (contextual, not standalone)
* Engulfings, Morning/Evening Star, 3 Soldiers/Crows, Harami, Hammer/Shooting Star, Double Top/Bottom.
**Use:** Only with session + flow + momentum alignment.
### 🤝 Price–Volume Classification
* Labels each bar as **continuation**, **exhaustion**, **distribution**, or **healthy pullback**.
**Use:** Align continuation reads with trend; treat “Price↑ + Vol↓” as a caution flag.
### 🧪 Confluence Scoreboard & B/S Meter
* Ten elements vote: 🔵 bull, ⚪ neutral, 🟣 bear.
**Use:** Execution filter—take setups when the board’s skew matches your trade direction.
---
## Playbooks (actionable)
**Trend Pullback (Long)**
1. London/NY active, Momentum↑, CVD↑, price above 24h mid & POC.
2. Pullback into **nearest bullish FVG**.
3. Invalidate under FVG low or **true-close** line.
4. Targets: IBH → VAH → 24h high.
**Range Fade (Short)**
1. Asia/quiet regime, **Price↑ + Vol↓** into **VAH**, ATR low.
2. Nearest FVG bearish or scoreboard skew bearish.
3. Invalidate above VAH/IBH.
4. Targets: POC → VAL.
**News/Impulse**
Aggression spike? Don’t chase. Let it pull back into the aligned FVG; require CVD/Momentum agreement before entry.
---
## Alerts (included)
* **Bull/Bear Confluence ≥ 7/10**
* **Intraday Target Achieved** / **Daily Target Achieved**
* **Session True-Close Retests** (Sydney/Tokyo/London/NY)
*(Keep alerts “Once per bar” unless you specifically want intrabar triggers.)*
---
## Setup Tips
* **UTC**: Choose the reference that matches how you track sessions (default UTC+2).
* **Volume threshold**: 2.0× is a strong baseline; raise for noisy alts, lower for majors.
* **CVD smoothing**: 14–24 for scalps; 24–34 for slower markets.
* **ATR lengths**: Keep defaults unless your asset has a persistent regime shift.
---
## Why this framework?
Because **timing (sessions)**, **truth (flow)**, and **location (value/FVG)** together beat any single signal. You get *who is trading*, *how strong the push is*, and *where risk lives*—on one screen—so execution is faster and cleaner.
---
**Disclaimer**: Educational use only. Not financial advice. Markets are risky—backtest and size responsibly.
BOCS Channel Scalper Indicator - Mean Reversion Alert System# BOCS Channel Scalper Indicator - Mean Reversion Alert System
## WHAT THIS INDICATOR DOES:
This is a mean reversion trading indicator that identifies consolidation channels through volatility analysis and generates alert signals when price enters entry zones near channel boundaries. **This indicator version is designed for manual trading with comprehensive alert functionality.** Unlike automated strategies, this tool sends notifications (via popup, email, SMS, or webhook) when trading opportunities occur, allowing you to manually review and execute trades. The system assumes price will revert to the channel mean, identifying scalp opportunities as price reaches extremes and preparing to bounce back toward center.
## INDICATOR VS STRATEGY - KEY DISTINCTION:
**This is an INDICATOR with alerts, not an automated strategy.** It does not execute trades automatically. Instead, it:
- Displays visual signals on your chart when entry conditions are met
- Sends customizable alerts to your device/email when opportunities arise
- Shows TP/SL levels for reference but does not place orders
- Requires you to manually enter and exit positions based on signals
- Works with all TradingView subscription levels (alerts included on all plans)
**For automated trading with backtesting**, use the strategy version. For manual control with notifications, use this indicator version.
## ALERT CAPABILITIES:
This indicator includes four distinct alert conditions that can be configured independently:
**1. New Channel Formation Alert**
- Triggers when a fresh BOCS channel is identified
- Message: "New BOCS channel formed - potential scalp setup ready"
- Use this to prepare for upcoming trading opportunities
**2. Long Scalp Entry Alert**
- Fires when price touches the long entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "LONG scalp signal at 24731.75 | TP: 24743.2 | SL: 24716.5"
**3. Short Scalp Entry Alert**
- Fires when price touches the short entry zone
- Message includes current price, calculated TP, and SL levels
- Notification example: "SHORT scalp signal at 24747.50 | TP: 24735.0 | SL: 24762.75"
**4. Any Entry Signal Alert**
- Combined alert for both long and short entries
- Use this if you want a single alert stream for all opportunities
- Message: "BOCS Scalp Entry: at "
**Setting Up Alerts:**
1. Add indicator to chart and configure settings
2. Click the Alert (⏰) button in TradingView toolbar
3. Select "BOCS Channel Scalper" from condition dropdown
4. Choose desired alert type (Long, Short, Any, or Channel Formation)
5. Set "Once Per Bar Close" to avoid false signals during bar formation
6. Configure delivery method (popup, email, webhook for automation platforms)
7. Save alert - it will fire automatically when conditions are met
**Alert Message Placeholders:**
Alerts use TradingView's dynamic placeholder system:
- {{ticker}} = Symbol name (e.g., NQ1!)
- {{close}} = Current price at signal
- {{plot_1}} = Calculated take profit level
- {{plot_2}} = Calculated stop loss level
These placeholders populate automatically, creating detailed notification messages without manual configuration.
## KEY DIFFERENCE FROM ORIGINAL BOCS:
**This indicator is designed for traders seeking higher trade frequency.** The original BOCS indicator trades breakouts OUTSIDE channels, waiting for price to escape consolidation before entering. This scalper version trades mean reversion INSIDE channels, entering when price reaches channel extremes and betting on a bounce back to center. The result is significantly more trading opportunities:
- **Original BOCS**: 1-3 signals per channel (only on breakout)
- **Scalper Indicator**: 5-15+ signals per channel (every touch of entry zones)
- **Trade Style**: Mean reversion vs trend following
- **Hold Time**: Seconds to minutes vs minutes to hours
- **Best Markets**: Ranging/choppy conditions vs trending breakouts
This makes the indicator ideal for active day traders who want continuous alert opportunities within consolidation zones rather than waiting for breakout confirmation. However, increased signal frequency also means higher potential commission costs and requires disciplined trade selection when acting on alerts.
## TECHNICAL METHODOLOGY:
### Price Normalization Process:
The indicator normalizes price data to create consistent volatility measurements across different instruments and price levels. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). Current close price is normalized using: (close - lowest_low) / (highest_high - lowest_low), producing values between 0 and 1 for standardized volatility analysis.
### Volatility Detection:
A 14-period standard deviation is applied to the normalized price series to measure price deviation from the mean. Higher standard deviation values indicate volatility expansion; lower values indicate consolidation. The indicator uses ta.highestbars() and ta.lowestbars() to identify when volatility peaks and troughs occur over the detection period (default 14 bars).
### Channel Formation Logic:
When volatility crosses from a high level to a low level (ta.crossover(upper, lower)), a consolidation phase begins. The indicator tracks the highest and lowest prices during this period, which become the channel boundaries. Minimum duration of 10+ bars is required to filter out brief volatility spikes. Channels are rendered as box objects with defined upper and lower boundaries, with colored zones indicating entry areas.
### Entry Signal Generation:
The indicator uses immediate touch-based entry logic. Entry zones are defined as a percentage from channel edges (default 20%):
- **Long Entry Zone**: Bottom 20% of channel (bottomBound + channelRange × 0.2)
- **Short Entry Zone**: Top 20% of channel (topBound - channelRange × 0.2)
Long signals trigger when candle low touches or enters the long entry zone. Short signals trigger when candle high touches or enters the short entry zone. Visual markers (arrows and labels) appear on chart, and configured alerts fire immediately.
### Cooldown Filter:
An optional cooldown period (measured in bars) prevents alert spam by enforcing minimum spacing between consecutive signals. If cooldown is set to 3 bars, no new long alert will fire until 3 bars after the previous long signal. Long and short cooldowns are tracked independently, allowing both directions to signal within the same period.
### ATR Volatility Filter:
The indicator includes a multi-timeframe ATR filter to avoid alerts during low-volatility conditions. Using request.security(), it fetches ATR values from a specified timeframe (e.g., 1-minute ATR while viewing 5-minute charts). The filter compares current ATR to a user-defined minimum threshold:
- If ATR ≥ threshold: Alerts enabled
- If ATR < threshold: No alerts fire
This prevents notifications during dead zones where mean reversion is unreliable due to insufficient price movement. The ATR status is displayed in the info table with visual confirmation (✓ or ✗).
### Take Profit Calculation:
Two TP methods are available:
**Fixed Points Mode**:
- Long TP = Entry + (TP_Ticks × syminfo.mintick)
- Short TP = Entry - (TP_Ticks × syminfo.mintick)
**Channel Percentage Mode**:
- Long TP = Entry + (ChannelRange × TP_Percent)
- Short TP = Entry - (ChannelRange × TP_Percent)
Default 50% targets the channel midline, a natural mean reversion target. These levels are displayed as visual lines with labels and included in alert messages for reference when manually placing orders.
### Stop Loss Placement:
Stop losses are calculated just outside the channel boundary by a user-defined tick offset:
- Long SL = ChannelBottom - (SL_Offset_Ticks × syminfo.mintick)
- Short SL = ChannelTop + (SL_Offset_Ticks × syminfo.mintick)
This logic assumes channel breaks invalidate the mean reversion thesis. SL levels are displayed on chart and included in alert notifications as suggested stop placement.
### Channel Breakout Management:
Channels are removed when price closes more than 10 ticks outside boundaries. This tolerance prevents premature channel deletion from minor breaks or wicks, allowing the mean reversion setup to persist through small boundary violations.
## INPUT PARAMETERS:
### Channel Settings:
- **Nested Channels**: Allow multiple overlapping channels vs single channel
- **Normalization Length**: Lookback for high/low calculation (1-500, default 100)
- **Box Detection Length**: Period for volatility detection (1-100, default 14)
### Scalping Settings:
- **Enable Long Scalps**: Toggle long alert generation on/off
- **Enable Short Scalps**: Toggle short alert generation on/off
- **Entry Zone % from Edge**: Size of entry zone (5-50%, default 20%)
- **SL Offset (Ticks)**: Distance beyond channel for stop (1+, default 5)
- **Cooldown Period (Bars)**: Minimum spacing between alerts (0 = no cooldown)
### ATR Filter:
- **Enable ATR Filter**: Toggle volatility filter on/off
- **ATR Timeframe**: Source timeframe for ATR (1, 5, 15, 60 min, etc.)
- **ATR Length**: Smoothing period (1-100, default 14)
- **Min ATR Value**: Threshold for alert enablement (0.1+, default 10.0)
### Take Profit Settings:
- **TP Method**: Choose Fixed Points or % of Channel
- **TP Fixed (Ticks)**: Static distance in ticks (1+, default 30)
- **TP % of Channel**: Dynamic target as channel percentage (10-100%, default 50%)
### Appearance:
- **Show Entry Zones**: Toggle zone labels on channels
- **Show Info Table**: Display real-time indicator status
- **Table Position**: Corner placement (Top Left/Right, Bottom Left/Right)
- **Long Color**: Customize long signal color (default: darker green for readability)
- **Short Color**: Customize short signal color (default: red)
- **TP/SL Colors**: Customize take profit and stop loss line colors
- **Line Length**: Visual length of TP/SL reference lines (5-200 bars)
## VISUAL INDICATORS:
- **Channel boxes** with semi-transparent fill showing consolidation zones
- **Colored entry zones** labeled "LONG ZONE ▲" and "SHORT ZONE ▼"
- **Entry signal arrows** below/above bars marking long/short alerts
- **TP/SL reference lines** with emoji labels (⊕ Entry, 🎯 TP, 🛑 SL)
- **Info table** showing channel status, last signal, entry/TP/SL prices, risk/reward ratio, and ATR filter status
- **Visual confirmation** when alerts fire via on-chart markers synchronized with notifications
## HOW TO USE:
### For 1-3 Minute Scalping with Alerts (NQ/ES):
- ATR Timeframe: "1" (1-minute)
- ATR Min Value: 10.0 (for NQ), adjust per instrument
- Entry Zone %: 20-25%
- TP Method: Fixed Points, 20-40 ticks
- SL Offset: 5-10 ticks
- Cooldown: 2-3 bars to reduce alert spam
- **Alert Setup**: Configure "Any Entry Signal" for combined long/short notifications
- **Execution**: When alert fires, verify chart visuals, then manually place limit order at entry zone with provided TP/SL levels
### For 5-15 Minute Day Trading with Alerts:
- ATR Timeframe: "5" or match chart
- ATR Min Value: Adjust to instrument (test 8-15 for NQ)
- Entry Zone %: 20-30%
- TP Method: % of Channel, 40-60%
- SL Offset: 5-10 ticks
- Cooldown: 3-5 bars
- **Alert Setup**: Configure separate "Long Scalp Entry" and "Short Scalp Entry" alerts if you trade directionally based on bias
- **Execution**: Review channel structure on alert, confirm ATR filter shows ✓, then enter manually
### For 30-60 Minute Swing Scalping with Alerts:
- ATR Timeframe: "15" or "30"
- ATR Min Value: Lower threshold for broader market
- Entry Zone %: 25-35%
- TP Method: % of Channel, 50-70%
- SL Offset: 10-15 ticks
- Cooldown: 5+ bars or disable
- **Alert Setup**: Use "New Channel Formation" to prepare for setups, then "Any Entry Signal" for execution alerts
- **Execution**: Larger timeframes allow more analysis time between alert and entry
### Webhook Integration for Semi-Automation:
- Configure alert webhook URL to connect with platforms like TradersPost, TradingView Paper Trading, or custom automation
- Alert message includes all necessary order parameters (direction, entry, TP, SL)
- Webhook receives structured data when signal fires
- External platform can auto-execute based on alert payload
- Still maintains manual oversight vs full strategy automation
## USAGE CONSIDERATIONS:
- **Manual Discipline Required**: Alerts provide opportunities but execution requires judgment. Not all alerts should be taken - consider market context, trend, and channel quality
- **Alert Timing**: Alerts fire on bar close by default. Ensure "Once Per Bar Close" is selected to avoid false signals during bar formation
- **Notification Delivery**: Mobile/email alerts may have 1-3 second delay. For immediate execution, use desktop popups or webhook automation
- **Cooldown Necessity**: Without cooldown, rapidly touching price action can generate excessive alerts. Start with 3-bar cooldown and adjust based on alert volume
- **ATR Filter Impact**: Enabling ATR filter dramatically reduces alert count but improves quality. Track filter status in info table to understand when you're receiving fewer alerts
- **Commission Awareness**: High alert frequency means high potential trade count. Calculate if your commission structure supports frequent scalping before acting on all alerts
## COMPATIBLE MARKETS:
Works on any instrument with price data including stock indices (NQ, ES, YM, RTY), individual stocks, forex pairs (EUR/USD, GBP/USD), cryptocurrency (BTC, ETH), and commodities. Volume-based features are not included in this indicator version. Multi-timeframe ATR requires higher-tier TradingView subscription for request.security() functionality on timeframes below chart timeframe.
## KNOWN LIMITATIONS:
- **Indicator does not execute trades** - alerts are informational only; you must manually place all orders
- **Alert delivery depends on TradingView infrastructure** - delays or failures possible during platform issues
- **No position tracking** - indicator doesn't know if you're in a trade; you must manage open positions independently
- **TP/SL levels are reference only** - you must manually set these on your broker platform; they are not live orders
- **Immediate touch entry can generate many alerts** in choppy zones without adequate cooldown
- **Channel deletion at 10-tick breaks** may be too aggressive or lenient depending on instrument tick size
- **ATR filter from lower timeframes** requires TradingView Premium/Pro+ for request.security()
- **Mean reversion logic fails** in strong breakout scenarios - alerts will fire but trades may hit stops
- **No partial closing capability** - full position management is manual; you determine scaling out
- **Alerts do not account for gaps** or overnight price changes; morning alerts may be stale
## RISK DISCLOSURE:
Trading involves substantial risk of loss. This indicator provides signals for educational and informational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Mean reversion strategies can experience extended drawdowns during trending markets. Alerts are not guaranteed to be profitable and should be combined with your own analysis. Stop losses may not fill at intended levels during extreme volatility or gaps. Never trade with capital you cannot afford to lose. Consider consulting a licensed financial advisor before making trading decisions. Always verify alerts against current market conditions before executing trades manually.
## ACKNOWLEDGMENT & CREDITS:
This indicator is built upon the channel detection methodology created by **AlgoAlpha** in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns. The core channel formation logic using normalized price standard deviation is AlgoAlpha's original contribution to the TradingView community.
Enhancements to the original concept include: mean reversion entry logic (vs breakout), immediate touch-based alert generation, comprehensive alert condition system with customizable notifications, multi-timeframe ATR volatility filtering, cooldown period for alert management, dual TP methods (fixed points vs channel percentage), visual TP/SL reference lines, and real-time status monitoring table. This indicator version is specifically designed for manual traders who prefer alert-based decision making over automated execution.
Premarket Power MovePremarket Power Move is an intraday research tool that tracks what happens after strong premarket or opening gaps.
📊 Core Idea
• When a stock opens +X% above the prior close, it often attracts momentum traders.
• This script measures whether the stock continues to follow through higher or instead fades back down within the first trading hour.
• It calculates:
• The probability of a post-gap rally vs. a drawdown
• Average and maximum retracements after the surge
• Event-day hit rate (how many days actually triggered the condition)
🎯 Use Cases
• Identify “gap-and-go” opportunities where strong premarket strength leads to further gains.
• Spot potential fade setups where early enthusiasm quickly reverses.
• Backtest your intraday strategies with objective statistics instead of gut feeling.
⚙️ Features
• Customizable thresholds for premarket/open surge (%) and follow-through window (minutes).
• Marks the chart with reference lines:
• Prior close
• Surge threshold (e.g. +6%)
• Intraday high/low used for probability calculations.
• Outputs summary statistics (probabilities, averages, counts) directly on the chart.
🔔 Note
This is not a buy/sell signal generator. It is a probability and behavior analysis tool that helps traders understand how often strong premarket gaps continue vs. fade.
GSR-MINI BandsGSR-Mini Bands is an indicator designed to analyze the dynamics of implied volatility indices, such as the VIX (S&P500) or the VDAX-NEW (DAX40).
The calculation is performed as the percentage difference between the cumulative series of opening gaps and the cumulative evolution of the volatility index itself, adjusted for those gaps.
The indicator moves in a range of approximately -1 to 1, with intermediate lines (0.3 and 0.7) that help identify different relative levels of volatility behavior.
Although it is primarily designed for daily charts, it can also be applied to shorter time frames, such as 1 minute, where it offers additional insight into intraday volatility dynamics.
Note : This indicator does not constitute an investment recommendation. It is presented solely as a technical analysis tool.
GSR BandsGSR Bands is an indicator designed to analyze the dynamics of an implied volatility index based on opening gaps. The model builds an accumulated series of gaps and generates additional offset bands derived from Fibonacci numbers and prime numbers (+10, +20, +30, +50, +70, +80, +110, +125).
The result is a set of cumulative gap curves that help visualize relevant zones in the evolution of the volatility index (potential areas of maximum volatility). Users can customize the offset values displayed on the chart, making it easier to explore different analytical scenarios.
The indicator can be applied to volatility indices such as VIX or VDAX-NEWS, and may serve as a complementary tool when studying the relationship between implied volatility and equity markets.
Note : This indicator does not constitute an investment recommendation. It is intended solely as a technical analysis tool.
Theil-Sen Line Filter [BackQuant]Theil-Sen Line Filter
A robust, median-slope baseline that tracks price while resisting outliers. Designed for the chart pane as a clean, adaptive reference line with optional candle coloring and slope-flip alerts.
What this is
A trend filter that estimates the underlying slope of price using a Theil-Sen style median of past slopes, then advances a baseline by a controlled fraction of that slope each bar. The result is a smooth line that reacts to real directional change while staying calm through noise, gaps, and single-bar shocks.
Why Theil-Sen
Classical moving averages are sensitive to outliers and shape changes. Ordinary least squares is sensitive to large residuals. The Theil-Sen idea replaces a single fragile estimate with the median of many simple slopes, which is statistically robust and less influenced by a few extreme bars. That makes the baseline steadier in choppy conditions and cleaner around regime turns.
What it plots
Filtered baseline that advances by a fraction of the robust slope each bar.
Optional candle coloring by baseline slope sign for quick trend read.
Alerts when the baseline slope turns up or down.
How it behaves (high level)
Looks back over a fixed window and forms many “current vs past” bar-to-bar slopes.
Takes the median of those slopes to get a robust estimate for the bar.
Optionally caps the magnitude of that per-bar slope so a single volatile bar cannot yank the line.
Moves the baseline forward by a user-controlled fraction of the estimated slope. Lower fractions are smoother. Higher fractions are more responsive.
Inputs and what they do
Price Source — the series the filter tracks. Typical is close; HL2 or HLC3 can be smoother.
Window Length — how many bars to consider for slopes. Larger windows are steadier and slower. Smaller windows are quicker and noisier.
Response — fraction of the estimated slope applied each bar. 1.00 follows the robust slope closely; values below 1.00 dampen moves.
Slope Cap Mode — optional guardrail on each bar’s slope:
None — no cap.
ATR — cap scales with recent true range.
Percent — cap scales with price level.
Points — fixed absolute cap in price points.
ATR Length / Mult, Cap Percent, Cap Points — tune the chosen cap mode’s size.
UI Settings — show or hide the line, paint candles by slope, choose long and short colors.
How to read it
Up-slope baseline and green candles indicate a rising robust trend. Pullbacks that do not flip the slope often resolve in trend direction.
Down-slope baseline and red candles indicate a falling robust trend. Bounces against the slope are lower-probability until proven otherwise.
Flat or frequent flips suggest a range. Increase window length or decrease response if you want fewer whipsaws in sideways markets.
Use cases
Bias filter — only take longs when slope is up, shorts when slope is down. It is a simple way to gate faster setups.
Stop or trail reference — use the line as a trailing guide. If price closes beyond the line and the slope flips, consider reducing exposure.
Regime detector — widen the window on higher timeframes to define major up vs down regimes for asset rotation or risk toggles.
Noise control — enable a cap mode in very volatile symbols to retain the line’s continuity through event bars.
Tuning guidance
Quick swing trading — shorter window, higher response, optionally add a percent cap to keep it stable on large moves.
Position trading — longer window, moderate response. ATR cap tends to scale well across cycles.
Low-liquidity or gappy charts — prefer longer window and a points or ATR cap. That reduces jumpiness around discontinuities.
Alerts included
Theil-Sen Up Slope — baseline’s one-bar change crosses above zero.
Theil-Sen Down Slope — baseline’s one-bar change crosses below zero.
Strengths
Robust to outliers through median-based slope estimation.
Continuously advances with price rather than re-anchoring, which reduces lag at turns.
User-selectable slope caps to tame shock bars without over-smoothing everything.
Minimal visuals with optional candle painting for fast regime recognition.
Notes
This is a filter, not a trading system. It does not account for execution, spreads, or gaps. Pair it with entry logic, risk management, and higher-timeframe context if you plan to use it for decisions.
BTC CME Gap – detector & single signals# BTC CME Gap — Detector & Single Signals (Pine v5)
**What it does**
This indicator finds the **weekend gap** on **CME Bitcoin futures** and turns it into a clean, tradable object:
* Draws a **gap zone** (Friday close ↔ Monday open) as a right-extending box.
* Fires **one-time signals** per gap:
* **ENTER** – first touch of the gap zone by price.
* **FILL** – gap is considered filled when price tags **Friday’s close**.
It works on any BTC chart (spot or futures). The gap itself is calculated from **CME\:BTC1!** daily data.
---
## How it works
1. Pulls **daily** `open`/`close` from `CME:BTC1!` (`request.security`, no lookahead).
2. On **Monday**, compares Monday **open** with previous **Friday close**:
* If different → a **gap** exists.
3. Defines the zone:
* `gapTop = max(MonOpen, FriClose)`
* `gapBot = min(MonOpen, FriClose)`
4. Renders a box + boundary lines, **extending right** until price action resolves it.
5. Signals:
* **ENTER**: the first bar that **enters** the gap zone.
* **FILL**: first bar that **touches Friday close** (gap completion).
6. Each new Monday gap **replaces** the previous box and signals.
---
## Inputs
* **CME symbol** (default `CME:BTC1!`)
* **Gap timeframe** (default `D`)
* **Colors** for the box and edges
---
## Plot & Signals
* **Box** = visual gap zone (transparent fill, outlined).
* **ENTER** = triangle up below bar.
* **FILL** = triangle down above bar.
* Optional label prints **Top / Bottom / Fill** levels.
---
## Notes on behavior
* Uses `barmerge.lookahead_off` and daily aggregation, so the gap definition **does not repaint** once Monday’s daily bar is confirmed.
* Signals are **single-shot** per gap (no clutter).
* Works on any chart timeframe; the gap logic always references **CME daily**.
---
## Practical use
* Track obvious **“magnets”** for mean-reversion, stop-runs, or liquidity grabs.
* Combine with your higher-timeframe bias (e.g., **1D trend filter**) and execution on **4H/1H**.
* Typical outcomes: quick Monday fill, staged fill after partial rejection, or delayed fill during later consolidation.
---
## Customization ideas
* Add `alertcondition(enterSignal, …)` / `alertcondition(fillSignal, …)` for automation.
* Gate trades with trend filters (EMA/SMA, Kernel regression, ADX) or session tools (VWAP/POC).
* Persist multiple historical gap boxes if you want to track **unfilled** gaps.
---
**Credits**: Built for BTC CME weekend gaps; minimal, publication-ready visualization with single-event signals to keep charts clean.
Pasrsifal.RegressionTrendStateSummary
The Parsifal.Regression.Trend.State Indicator analyzes the leading coefficients of linear and quadratic regressions of price (against time). It also considers their first- and second-order changes. These features are aggregated into a Trend-State background, shown as a gradient color. In addition, the indicator generates fast and slow signals that can be used as potential entry- or exit triggers.
This tool is designed for advanced trend-following strategies, leveraging information from multiple trendline features.
Background
Trendlines provide insight into the state of a trend or the “trendiness” of a price process. While moving averages or pivot-based lines can serve as envelopes and breakout levels, they are often too lagging for swing traders, who need tools that adapt more closely to price swings, ideally using trendlines, around which the price process swings continuously.
Regression lines address this by cutting directly through the data, making them a natural anchor for observing how price winds around a central trendline within a chosen lookback period.
Regression Trendlines
• Linear Regression:
o Minimizes distance to all closing values over the lookback period.
o The slope represents the short-term linear trend.
o The change of slope indicates trend acceleration or deceleration.
o Linear regression lags during phases of rapid market shifts.
• Quadratic Regression:
o Fits a second-degree polynomial to minimize deviation from closing prices.
o The convexity term (leading coefficient) reflects curvature:
Positive convexity → accelerating uptrend or fading downtrend.
Negative convexity → accelerating downtrend or fading uptrend.
o The change of convexity detects early shifts in momentum and often reacts faster than slope features.
Features Extracted
The indicator evaluates six features:
• Linear features: slope, first derivative of slope, second derivative of slope.
• Quadratic features: convexity term, first derivative of the convexity term, second derivative of the convexity term.
• Linear features: capture broad, background trend behavior.
• Quadratic features: detect deviations, accelerations, and smaller-scale dynamics.
Quadratic terms generally react first to market changes, while linear terms provide stability and context.
Dynamics of Market Moves as seen by linear and quadratic regressions
• At the start of a rapid move:
The change of convexity reacts first, capturing the shift in dynamics before other features. The convexity term then follows, while linear slope features lag further behind. Because convexity measures deviation from linearity, it reflects accelerating momentum more effectively than slope.
• At the end of a rapid move:
Again, the change of convexity responds first to fading momentum, signaling the transition from above-linear to below-linear dynamics. Even while a strong trend persists, the change of convexity may flip sign early, offering a warning of weakening strength. The convexity term itself adjusts more slowly but may still turn before the price process does. Linear features lag the most, typically only flipping after price has already reversed, thereby smoothing out the rapid, more sensitive reactions of quadratic terms.
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Parsifal Regression.Trend.State Method
1. Feature Mapping:
Each feature is mapped to a range between -1 and 1, preserving zero-crossings (critical for sign interpretation).
2. Aggregation:
A heuristic linear combination*) produces a background information value, visualized as a gradient color scale:
o Deep green → strong positive trend.
o Deep red → strong negative trend.
o Yellow → neutral or transitional states.
3. Signals:
o Fast signal (oscillator): ranges from -1 to 1, reflecting short-term trend state.
o Slow signal (smoothed): moving average of the fast signal.
o Their interactions (crossovers, zero-crossings) provide actionable trading triggers.
How to Use
The Trend-State background gradient provides intuitive visual feedback on the aggregated regression features (slope, convexity, and their changes). Because these features reflect not only current trend strength but also their acceleration or deceleration, the color transitions help anticipate evolving market states:
• Solid Green: All features near their highs. Indicates a strong, accelerating uptrend. May also reflect explosive or hyperbolic upside moves (including gaps).
• Fading Solid Green: A recently strong uptrend is losing momentum. Price may shift into a slower uptrend, consolidation, or even a reversal.
• Fading Green → Yellow: Often appears as a dirty yellow or a rapidly mixing pattern of green and red. Signals that the uptrend is weakening toward neutrality or beginning to turn negative.
• Yellow → Deepening Red: Two possible scenarios:
o Coming from a strong uptrend → suggests a sharp fade, though the trend may still technically be up.
o Coming from a weaker uptrend or sideways market → suggests the start of an accelerating downtrend.
• Solid Red: All features near their lows. Indicates a strong, accelerating downtrend. May also reflect crash-type conditions or downside gaps.
• Fading Solid Red: A recently strong downtrend is losing strength. Market may move into a slower decline, consolidation, or early reversal upward.
• Fading Red → Yellow : The downtrend is weakening toward neutral, with potential for a bullish shift.
• Yellow → Increasing Green: Two possible scenarios:
o Coming from a strong downtrend, it reflects a sharp fade of bearish momentum, though the market may still technically be trending down.
o Coming from a weaker downtrend or sideways movement, it suggests the start of an accelerating uptrend.
Note: Market evolution does not always follow this neat “color cycle.” It may jump between states, skip stages, or reverse abruptly depending on market conditions. This makes the background coloring particularly valuable as a contextual map of current and evolving price dynamics.
Signal Crossovers:
Although the fast signal is very similar (but not identical) to the background coloring, it provides a numerical representation indicating a bullish interpretation for rising values and bearish for falling.
o High-confidence entries:
Fast signal rising from < -0.7 and crossing above the slow signal → potential long entry.
Fast signal falling from > +0.7 and crossing below the slow signal → potential short entry.
o Low-confidence entries:
Crossovers near zero may still provide a valid trigger but may be noisy and should be confirmed with other signals.
o Zero-crossings:
Indicate broader state changes, useful for conservative positioning or option strategies. For confirmation of a Fast signal 0-crossing, wait for the Slow signal to cross as well.
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*) Note on Aggregation
While the indicator currently uses a heuristic linear combination of features, alternatives such as Principal Component Analysis (PCA) could provide a more formal aggregation. However, while in the absence of matrix algebra, the required eigenvalue decomposition can be approximated, its computational expense does not justify the marginal higher insight in this case. The current heuristic approach offers a practical balance of clarity, speed, and accuracy.
