FVG Reversal Sentinel🔵 FVG Reversal Sentinel – Multi-Timeframe Fair Value Gap Indicator
The FVG Reversal Sentinel is a powerful TradingView indicator designed to help traders identify and track Fair Value Gaps (FVGs) across multiple timeframes, all within a single chart.
This tool allows you to select up to five separate timeframes, ensuring you never miss key market shifts, whether you are scalping, day trading, or swing trading. You can use this indicator in any asset (Cryptos, Futures, Indices, Forex Pairs, etc.).
🔵 - Key Features -
Multi-Timeframe FVG Tracking – Select and display up to five different timeframes on one chart, providing a comprehensive view of market structure.
Customizable Colors – Adjust bullish and bearish FVG colors to match your chart theme for a seamless trading experience.
Enhanced Market Context – Quickly identify key liquidity zones and refine your entries and exits with precision.
Hide the lower timeframes FVGs to get a clear view in a custom timeframe.
Show or hide mitigated FVGs to declutter the chart.
FVGs boxes are going to be displayed only when the candle bar closes
FVGs are going to be mitigated only when the body of the candle closes above or below the FVG area.
No repainting
Whether you're looking to fine-tune your entries or gain a broader market perspective, the FVG Reversal Sentinel indicator ensures you have the tools to stay ahead of price action and capitalize on market inefficiencies.
🔵 - Customization-
You can change the indicator settings as you see fit to achieve the best results for your use case.
TIMEFRAMES
This indicator provides the ability to select up to 5 timeframes. These timeframes are based on the trader's timeframes including any custom timeframes.
Select the desired timeframe from the options list.
Add the label text you would like to show for the selected timeframe.
Check or uncheck the box to display or hide the timeframe from your chart.
FVG SETTINGS
Length of boxes: allows you to select the length of the box that is going to be displayed for the FVGs.
Delete boxes after fill?: allows you to show or hide mitigated FVGs on your chart.
Hide FVGs lower than enabled timeframes?: allows you to show or hide lower timeframe FVGs on your chart. Example - You are in a 15 minutes timeframe chart, if you choose to hide lower timeframe FVGs you will not be able to see 5 minutes FVG defined in your Timeframes Settings, only 15 minutes or higher timeframe FVGs will be displayed on your chart.
BOX VISUALS
Bullish FVG box color: the color and opacity of the box for the bullish FVGs.
Bearish FVG box color: the color and opacity of the box for the bearish FVGs.
LABELS VISUALS
Bullish FVG labels color: the color for bullish labels.
Bearish FVG labels color: the color for bearish labels.
Labels size: the size of the text displayed in the labels.
Labels position: the position of the label inside the FVGs boxes (right, left or center).
BORDER VISUALS
Border width: the width of the border (the thickness).
Bullish FVG border color: the color and the opacity of the bullish box border.
Bearish FVG border color: the color and the opacity of the bearish box border.
🔵 - How to use the indicator -
Just add the indicator in your chart and click in the settings option to customize it.
Make sure you select the desired timeframes and set the colors and opacity for the FVGs boxes.
This indicator can be used in many trading strategies, such as:
SILVER BULLET
iFVG
iFVG RETEST
These strategies are based on the use of FVGs, this tool can help you analyze the market and make the right decision.
🔵 - How was the indicator designed? -
I have spent a lot of time testing other open source indicators from the community. All of these indicators do a great job, but they have a problem, they not only mitigate FVGs when a candle closes above or below the FVG, they also mitigate FVGs when the candle closes exactly to the tick (not above or below the FVG). This is a problem for many strategies that rely on FVGs mitigation.
What makes this indicator different is that it focuses on just mitigating imbalances at the right time for these strategies.
I have taken ideas and some pieces of code from many community indicator developers, such as:
@twingall
@tflab
@marktools
@nacho-fx
@pmk07
... and many other people, to whom I thank for their valuable work and have allowed me to create this tool by making modifications to their source code.
🔵 - Disclaimer -
This tool is intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. It's not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on any indicator for financial decisions.
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MT-Trend Zone IdentifierTrend Zone Identifier – A Dynamic Market Trend Mapping Tool
Overview
The Trend Zone Identifier is an advanced TradingView indicator that helps traders visualize different market trend phases. By leveraging Pivot Points, Moving Averages (MA), ADX (Average Directional Index), and Retest Confirmation, this tool identifies uptrend, downtrend, and ranging (sideways) conditions dynamically.
This indicator is designed to segment the market into clear trend zones, allowing traders to distinguish between confirmed trends, trend transitions (pending zones), and ranging markets. It provides an intuitive visual overlay to enhance market structure analysis and assist in decision-making.
Key Features
✔ Trend Zone Identification – Classifies price action into Uptrend (Green), Downtrend (Red), Pending Confirmation (Light Colors), and Sideways Market (Gray/Neutral)
✔ Pivot-Based Breakout & Breakdown Detection – Uses pivot highs/lows to determine trend shifts
✔ Moving Average & ADX Validation – Ensures the trend is backed by MA structure and ADX trend strength
✔ Pullback Confirmation – Allows trend confirmation based on price retesting key levels
✔ Extreme Volatility & Gaps Filtering – Optional ATR-based extreme movement filtering to avoid false signals
✔ Multi-Timeframe Support – Option to integrate higher timeframe trend validation
✔ Customizable Sensitivity – Fine-tune MA smoothing, ADX thresholds, pivot detection, and pullback range
How It Works
1. Trend Classification
• Uptrend (Green): Price is above a key MA, ADX confirms strength, and a pivot breakout occurs
• Downtrend (Red): Price is below a key MA, ADX confirms strength, and a pivot breakdown occurs
• Pending Trend (Light Colors): Initial trend breakout or breakdown is detected but requires further confirmation
• Sideways/Ranging (Gray): ADX signals a weak trend, and price remains within a neutral zone
2. Retest & Confirmation Logic
• A trend is only confirmed after a breakout or breakdown followed by a successful retest
• If the market fails the retest, the indicator resets to a neutral state
3. Custom Filters for Optimization
• Enable or disable volume filtering for confirmation
• Adjust pivot sensitivity to detect major or minor swing points
• Choose to require consecutive bars confirming the breakout/breakdown
Ideal Use Cases
🔹 Swing traders who want to capture trend transitions early
🔹 Trend-following traders who rely on confirmed market cycles
🔹 Range traders looking to identify sideways market zones
🔹 Algorithmic traders who need clean trend segmentation for automated strategies
Final Thoughts
The Trend Zone Identifier is a versatile market structure indicator that helps traders define trend cycles visually and avoid trading against weak trends. By providing clear breakout, breakdown, and retest conditions, it enhances market clarity and reduces decision-making errors.
➡ Add this to your TradingView workspace and start analyzing market trends like a pro! 🚀
ICT First Presented FVG - NY Open [LuckyAlgo]
This indicator identifies the first Fair Value Gap (FVG) that occurs during the New York trading session, combined with NY session opening price levels. It's an essential tool for traders who follow ICT concepts and focus on the NY trading session.
ICT refers to this as the First Presented FVG, while other traders may call it the 9:30 FVG.
This indicator is best for the 1 minute timeframe, while 5 minute also works.
Detects and marks the first FVG of the NY session
Displays both bullish (green) and bearish (red) FVGs with customizable transparency
Shows the NY session opening price with clear labels
Includes optional vertical line at 9:30 AM NY open
Maintains clean chart visibility with adjustable maximum display days
Includes session date and time labels for easy reference
The indicator helps traders identify potential reversal zones and continuation opportunities by combining two powerful concepts: Fair Value Gaps and NY session opening price. This makes it particularly valuable for day traders and swing traders who want to capitalize on institutional order flow patterns during the most liquid trading session.
You can customize the indicator's appearance, including FVG box colors, time range display, and whether to show the NY open markers. This flexibility allows you to integrate it seamlessly with your existing trading setup.
Son Model ICT [TradingFinder] HTF DOL H1 + Sweep M15 + FVG M1🔵 Introduction
The ICT Son Model setup is a precise trading strategy based on market structure and liquidity, implemented across multiple timeframes. This setup first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe to validate the trend. After confirmation, the price forms a new swing in the 5-minute timeframe, absorbing liquidity.
Once this level is broken, traders typically drop to the 30-second (30s) timeframe and enter trades based on a Fair Value Gap (FVG). However, since access to the 30-second timeframe is not available to most traders, we take the entry signal directly from the 5-minute timeframe, using the same liquidity zones and confirmed breakouts to execute trades. This approach simplifies execution and makes the strategy accessible to all traders.
This model operates in two setups :
Bullish ICT Son Model and Bearish ICT Son Model. In the bullish setup, liquidity is first accumulated at the lows of the 1-hour timeframe, and after confirming a market structure shift, a long position is initiated. Conversely, in the bearish setup, liquidity is first drawn from higher levels, and upon confirmation of a bearish trend, a short position is executed.
Bullish Setup :
Bearish Setup :
🔵 How to Use
The ICT Son Model setup is designed around liquidity analysis and market structure shifts and can be applied in both bullish and bearish market conditions. The strategy first identifies a liquidity level in the 1-hour (1H) timeframe and then confirms a Market Structure Shift (MSS) in the 5-minute (5M) timeframe.
After this shift, the price forms a new swing, absorbing liquidity. When this level is broken in the 5-minute timeframe, the trader enters based on a Fair Value Gap (FVG). While the ideal entry is in the 30-second (30s) timeframe, due to accessibility constraints, we take entry signals directly from the 5-minute timeframe.
🟣 Bullish Setup
In the Bullish ICT Son Model, the 1-hour timeframe first identifies liquidity at the market lows, where price sweeps this level to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bullish shift.
After confirmation, the price forms a new swing, absorbing liquidity at a higher level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a long position, placing the stop-loss below the FVG.
🟣 Bearish Setup
In the Bearish ICT Son Model, liquidity at higher market levels is identified in the 1-hour timeframe, where price sweeps these levels to absorb liquidity. Then, in the 5-minute timeframe, an MSS confirms the bearish trend.
After confirmation, the price forms a new swing, absorbing liquidity at a lower level. The price then retraces into a Fair Value Gap (FVG) created in the 5-minute timeframe, where the trader enters a short position, placing the stop-loss above the FVG.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT Son Model setup is a structured and precise method for trade execution based on liquidity analysis and market structure shifts. This strategy first identifies a liquidity level in the 1-hour timeframe and then confirms a trend shift using the 5-minute timeframe.
Trade entries are executed based on Fair Value Gaps (FVGs), which highlight optimal entry points. By applying this model, traders can leverage existing market liquidity to enter high-probability trades. The bullish setup activates when liquidity is swept from market lows and a market structure shift confirms an upward trend, whereas the bearish setup is used when liquidity is drawn from market highs, confirming a downtrend.
This approach enables traders to identify high-probability trade setups with greater precision compared to many other strategies. Additionally, since access to the 30-second timeframe is limited, the strategy remains fully functional in the 5-minute timeframe, making it more practical and accessible for a wider range of traders.
Volume Delta with PVSRAVolume Delta with PVSRA
Volume Delta with PVSRA is an advanced volume indicator that dissects each bar’s volume into its directional components using higher resolution data. It visually distinguishes between buying and selling volume, so that for a bullish candle the bottom portion represents buying volume and for a bearish candle it represents selling volume. A dot is plotted at the 50% mark of the candle’s total volume, serving as a clear reference point.
Key Features:
Directional Volume Breakdown:
The indicator calculates the delta volume by analyzing lower timeframe data. The bottom portion of a bullish candle (displayed in green) represents buying volume, while that of a bearish candle (displayed in red) represents selling volume.
PVSRA Analysis:
Using Price-Volume Spread Range Analysis, the indicator compares the current volume to the 10-bar average. When volume is significantly higher (using thresholds of 150% and 200%), the candle borders are highlighted in custom colors, indicating medium or strong volume conditions.
Volume Moving Averages:
Three moving averages are plotted:
Total Volume MA (yellow): Tracks overall volume.
Buying Volume MA (green) and Selling Volume MA (red): These are re-centered around the total volume MA. A crossover of the green over the red typically signals rising buying pressure, while the opposite indicates increasing selling pressure.
Scalable Volume Bars:
The indicator scales the volume bars to provide optimal visualization on your chart.
Setup Instructions:
For best results, open your chart settings, navigate to the Canvas tab, and set the bottom margin to 0%. This ensures the indicator displays like a standard volume indicator without any unwanted gaps at the bottom.
Customize the various settings—including colors, border opacity, and moving average parameters—to suit your trading style.
Buyable Gap Ups (BGU) ScreenerBuyable Gap Ups (BGU) Screener
This custom indicator detects Buyable Gap Ups (BGU), designed to identify stocks with significant price movements driven by gap-ups, often signaling strong bullish momentum. It helps traders spot potential opportunities where a stock has gapped up above the previous day's high with increased volume, suggesting the possibility of continued price strength.
Key Features:
Gap Percentage Threshold: Set a minimum gap percentage required for a valid buyable gap-up.
Volume Change Threshold: Identifies gap-ups accompanied by a significant increase in volume compared to the 50-day average.
ATR-Based Gap Detection (Optional): Use Average True Range (ATR) to determine whether the gap is large enough, factoring in recent volatility.
Customizable Lookback Period: Adjust the number of recent bars to track the frequency of BGU occurrences.
Volume Confirmation: Only signals buyable gaps when volume surpasses a defined threshold above the 50-day average.
Input Parameters:
Gap Percentage Threshold: Adjusts the minimum percentage gap for a valid signal.
Volume Change Threshold: Determines the minimum percentage increase in volume compared to the 50-day moving average.
Use ATR Gap: Option to use ATR to determine the minimum gap size instead of the percentage gap.
ATR Multiplier for Gap: Customizes the gap size based on the ATR.
ATR Length: Adjusts the lookback period for calculating ATR.
Lookback Period for BGU: Set the number of bars over which to calculate the BGU count.
Alerts & Signals:
The script will plot signals below bars where a valid BGU condition is met.
Alerts can be set for when a BGU is detected, giving real-time notifications for potential trading opportunities.
This indicator is designed to help traders find stocks showing strong bullish momentum, especially after earnings or other market-moving events, with the potential for continued uptrend. It is ideal for those looking to incorporate gap-based strategies in their trading.
Fixed Gap Price LevelsIndicator Description:
The Fixed Gap Price Levels indicator draws horizontal price levels at user-defined intervals on the chart.
Users can select a starting price level (e.g., 71 or 2.1).
Lines are drawn at fixed gaps (e.g., if 71 is chosen, lines appear at 71, 142, 213, etc.).
An optional midpoint line can be enabled to appear halfway between the main levels.
Customizable colors for both main and midpoint lines.
Lines extend across the entire screen for easy visualization of price levels.
This tool helps traders quickly identify key price levels based on predefined spacing, aiding in technical analysis.
Walk Forward PatternsINTRO
In Euclidean geometry, every mathematical output has a planar projection. 'Walk Forward Patterns' can be considered a practical example of this concept. On the other hand, this indicator might also be viewed as an experiment in 'how playing with Lego as a child contributes to time series analysis' :)
OVERVIEW
This script dynamically generates the necessary optimization and testing ranges for Walk Forward Analysis based on user-defined bar count and length inputs. It performs automatic calculations for each step, offers 8 different window options depending on the inputs, and visualizes the results dynamically. I should also note that most of the window models consist of original patterns I have created.
ADDITIONAL INFO : WHAT IS WALK FORWARD ANALYSIS?
Although it is not the main focus of this indicator, providing a brief definition of Walk Forward Analysis can be helpful in correctly interpreting the results it generates. Walk Forward Analysis (WFA) is a systematic method for optimizing parameters and validating trading strategies. It involves dividing historical data into variable segments, where a strategy is first optimized on an in-sample period and then tested on an out-of-sample period. This process repeats by shifting the windows forward, ensuring that each test evaluates the strategy on unseen data, helping to assess its robustness and adaptability in real market conditions.
ORIGINALITY
There are very few studies on Walk Forward Analysis in TradingView. Even worse, there are no any open-source studies available. Someone has to start somewhere, I suppose. And in my personal opinion, determining the optimization and backtest intervals is the most challenging part of WFA. These intervals serve as a prerequisite for automated parameter optimization. I felt the need to publish this pattern module, which I use in my own WFA models, partly due to this gap on community scripts.
INDICATOR MECHANICS
To use the indicator effectively, you only need to perform four simple tasks:
Specify the total number of bars in your chart in the 'Bar Index' parameter.
Define the optimization (In-Sample Test) length.
Define the testing (Out-Of-Sample Test) length.
Finally, select the window type.
The indicator automatically models everything else (including the number of steps) based on your inputs. And the result; you now have a clear idea of which bars to use for your Walk Forward tests!
A COMMONLY USED WINDOW SELECTION METHOD: ROLLING
A more concrete definition of Walk Forward Analysis, specifically for the widely used Rolling method, can be described as follows:
Parameters that have performed well over a certain period are identified (Optimization: In-Sample).
These parameters are then tested on a shorter, subsequent period (Backtest: Out-of-Sample).
The process is repeated forward in time (At each step, the optimization and backtest periods are shifted by the backtest length).
If the cumulative percentage profit obtained from the backtest results is greater than half of the historical optimization profit, the strategy is considered "successful."
If the strategy is successful, the most recent (untested) optimization values are used for live trading.
OTHER WINDOW OPTIONS
ANCHORED: That's a pattern based on progressively expanding optimization ranges at each step. Backtest ranges move forward in a staircase-like manner.
STATIC: Optimization ranges remain fixed, while backtest ranges are shifted forward.
BLOCKED: Optimization ranges are shifted forward in groups of three blocks. Backtest ranges are also shifted in a staircase manner, even at the cost of creating gaps from the optimization end bars.
TRIANGULAR: Optimization ranges are shifted forward in triangular regions, while backtest ranges move in a staircase pattern.
RATIO: The optimization length increases by 25% of the initial step’s fixed length at each step. In other words, the length grows by 25% of the first step's length incrementally. Backtest ranges always start from the bar where the optimization ends.
FIBONACCI: A variation of the Ratio method, where the optimization shift factor is set to 0.618
RANDOM WALK
Unlike the window models explained above, we can also generate optimization and backtest ranges completely randomly—offering almost unlimited variations! When you select the "Random" option in the "Window" parameter on the indicator interface, random intervals are generated based on various trigonometric calculations. By changing the numerical value in the '🐒' parameter, you can create entirely unique patterns.
WHY THE 🐒 EMOJI?
Two reasons.
First, I think that as humanity, we are a species of tailless primates who become happy when we understand things :). At least evolutionarily. The entire history of civilization is built on the effort to express the universe in a scale we can comprehend. 'Knowledge' is an invention born from this effort, which is why we feel happiness when we 'understand'. Second, I can't think of a better metaphor for randomness than a monkey sitting at a keyboard. See: Monkey Test.
Anyway, I’m rambling :)
NOTES
The indicator generates results for up to 100 steps. As the number of steps increases, the table may extend beyond the screen—don’t forget to zoom out!
FINAL WORDS
I haven’t published a Walk Forward script yet . However, there seem to be examples that can perform parameter optimization in the true sense of the word, producing more realistic results without falling into overfitting in my library. Hopefully, I’ll have the chance to publish one in the coming weeks. Sincerely thanks to Kıvanç Özbilgiç, Robert Pardo, Kevin Davey, Ernest P. Chan for their inspiring publishments.
DISCLAIMER
That's just a script, nothing more. I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
© dg_factor
HTF EMA Pivot PointsHTF EMA Pivot Points - TradingView Indicator
📌 Overview
The HTF EMA Pivot Points indicator displays Exponential Moving Averages (EMAs) from higher timeframes (HTF) on your current chart. These EMAs act as dynamic support and resistance levels, helping traders identify key areas where price is likely to react.
⚡ Key Features
✅ Plots EMAs from multiple timeframes (1H, 4H, Daily)
✅ Works on any chart (1M, 5M, 15M, etc.)
✅ Acts as pivot points for price action, helping with trade entries & exits
✅ Customizable EMA lengths for flexibility
✅ Ideal for scalping, 0DTE options trading, and swing trading
🛠 How It Works
The script calculates EMAs from 1H, 4H, and Daily charts and overlays them on your current timeframe. These levels often act as support and resistance zones, where price tends to bounce or reject.
🎯 How to Use It for Trading
📍 Bullish Setup (Buy Calls)
• Price bounces off a higher timeframe EMA (e.g., 4H or Daily EMA)
• Confirmation with RSI or Fair Value Gaps (FVGs)
📍 Bearish Setup (Buy Puts)
• Price rejects from a higher timeframe EMA
• Confirmation with other indicators (RSI, MACD, Order Flow)
🚀 Why Use This Indicator?
• Filters out noise from lower timeframe EMAs
• Confirms trend direction using key moving averages
• Helps avoid false breakouts by identifying strong institutional levels
This is a must-have tool for traders who rely on higher timeframe confluence for scalping, options trading, or swing trading. 📈🔥
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
Sadosi Gap SelecterThis indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data.
The Sadosi Gap Selecter is a powerful indicator designed to identify price gaps that occur between specific dates on the chart. It allows users to easily analyze price movements between selected weeks and days, highlighting these periods with visual boxes. This helps traders spot potential trend reversals and key price levels more effectively. It’s particularly valuable for those utilizing gap trading strategies to identify market inefficiencies.
The core functionality of this indicator is based on detecting price differences between two selected days within a defined date range. With the Start Day (day1) and End Day (day2) options, you can choose the exact days of the week you’d like to analyze. For instance, if you want to focus on price movements from Friday to Monday, simply select those days. Additionally, the Start Week (week1) and End Week (week2) settings allow you to narrow down the time frame on a weekly basis, making it easy to analyze price behavior during specific periods of the year.
For visual customization, several options are available. The Color (renk) setting lets you choose between red and yellow for the highlighted boxes. The Transparency (op) control adjusts the background opacity from 0% (fully opaque) to 100% (completely transparent), allowing you to manage how prominently the boxes appear on your chart. Furthermore, the Border (hat) option enables you to add or remove borders around the boxes, helping reduce visual clutter or emphasize certain areas depending on your preference.
Once applied to the chart, the indicator automatically generates boxes for the specified date ranges. The upper and lower bounds of each box are determined based on the price movement within that period, providing insights into the direction and strength of the trend. However, this tool does not generate definitive buy or sell signals on its own. It is recommended to use it alongside other technical analysis tools to make more informed trading decisions.
With the Sadosi Gap Selecter, you can gain clearer insights into price behavior, strengthen your trend analyses using historical data, and fully customize the settings to match your trading style for more effective results.
This indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data
Average Price in Time PeriodsThis Pine Script calculates and displays average prices for two specific time ranges during a trading day: from 09:00 to 22:30 and from 22:30 to 09:00. It updates the average prices by summing the closing prices in each time frame and then plots them as green and red lines, respectively. The script also displays black lines outside these specific time ranges to prevent "gaps" in the chart during off-peak hours. The displayed lines are dynamically adjusted based on the current time, with the green line for 09:00-22:30 and the red line for 22:30-09:00.
Overnight vs Intra-day Performance█ STRATEGY OVERVIEW
The "Overnight vs Intra-day Performance" indicator quantifies price behaviour differences between trading hours and overnight periods. It calculates cumulative returns, compound growth rates, and visualizes performance components across user-defined time windows. Designed for analytical use, it helps identify whether returns are primarily generated during market hours or overnight sessions.
█ USAGE
Use this indicator on Stocks and ETFs to visualise and compare intra-day vs overnight performance
█ KEY FEATURES
Return Segmentation : Separates total returns into overnight (close-to-open) and intraday (open-to-close) components
Growth Tracking : Shows simple cumulative returns and compound annual growth rates (CAGR)
█ VISUALIZATION SYSTEM
1. Time-Series
Overnight Returns (Red)
Intraday Returns (Blue)
Total Returns (White)
2. Summary Table
Displays CAGR
3. Price Chart Labels
Floating annotations showing absolute returns and CAGR
Color-coded to match plot series
█ PURPOSE
Quantify market behaviour disparities between active trading sessions and overnight positioning
Provide institutional-grade attribution analysis for returns generation
Enable tactical adjustment of trading schedules based on historical performance patterns
Serve as foundational research for session-specific trading strategies
█ IDEAL USERS
1. Portfolio Managers
Analyse overnight risk exposure across holdings
Optimize execution timing based on return distributions
2. Quantitative Researchers
Study market microstructure through time-segmented returns
Develop alpha models leveraging session-specific anomalies
3. Market Microstructure Analysts
Identify liquidity patterns in overnight vs daytime sessions
Research ETF premium/discount mechanics
4. Day Traders
Align trading hours with highest probability return windows
Avoid overnight gaps through informed position sizing
Auto Last Earnings AVWAP
This script provides an automated approach to tracking critical post-earnings price levels. You can add it to a chart and then flip through your watchlist to see the anchored AVWAPs without the need to do it manually one by one.
Core Features:
Automatically detects earnings dates and anchors VWAP calculations without manual input
Calculates volume-weighted average price specifically from the last earnings release
Identifies and visualizes significant earnings gaps between reporting periods
Volume-Based Signal Detection:
Monitors VWAP crosses with volume confirmation (requires 1.5x normal volume)
Labels high-volume breakouts with clear directional signals
Uses a 6-bar adaptive volume baseline to filter out noise
Practical Applications:
AVWAP anchored at earnings offers a great price support level that should be considered when deciding to buy/sell the stock. This script eliminates manual VWAP anchoring and reduces chart management time
Key Differentiators:
First note: coding VWAP anchoring in pine is more challenging that one would think. The source code is open to help other users and hopefully inspire different applications.
No need to manually anchor the VWAP
Draws earnings gap from earnings to earnings (if auto mode)
Detects breakouts through the AVWAP line
VWAP Divergence | dobofulopOverview :
This script identifies potential bullish and bearish divergence signals using the Volume Weighted Average Price (VWAP). It calculates VWAP resets based on a selected “Anchor Period” (Session, Week, Month, Quarter, Year, Decade, Century, or corporate events like Earnings, Dividends, Splits). When price action and VWAP move in opposite directions with a sufficiently large ATR-based move over a chosen lookback period, the script plots divergence dots on the chart.
Key Features:
VWAP Anchoring : Choose an anchor period for resetting VWAP. This could be daily, weekly, monthly, or based on specific corporate events (Earnings, Dividends, Splits).
Divergence Detection : Looks for instances where the price is moving up while VWAP moves down (potential bullish divergence), and vice versa for bearish divergence.
ATR Filter : Uses the ATR (Average True Range) to filter out minor or insignificant price moves, helping to reduce noise.
Gap Check : Automatically invalidates signals if large price gaps occur within the lookback range.
Visual Signals : Bullish divergences are plotted below the bar, while bearish divergences are plotted above, making it easy to spot potential reversal zones.
How to Us
Inputs:
- Anchor Period (Session, Week, Month, etc.) – determines when the VWAP calculation restarts.
- Source (Default: HLC3) – Price source for the VWAP.
- ATR Multiplier and Lookback Period – Fine-tune the threshold for detecting significant moves vs. VWAP.
Interpretation:
- Bullish Divergence Dot: Suggests potential price strength when price moves higher but VWAP moves lower.
- Bearish Divergence Dot: Suggests potential price weakness when price moves lower but VWAP moves higher.
Disclaimer:
This script is provided for educational purposes only and should not be interpreted as financial advice. Past performance does not guarantee future results. Always conduct your own analysis and consider consulting a financial professional before making trading decisions.
JJ Highlight Time Ranges with First 5 Minutes and LabelsTo effectively use this Pine Script as a day trader , here’s how the various elements can help you manage trades, track time sessions, and monitor price movements:
Key Components for a Day Trader:
1. First 5-Minute Highlight:
- Purpose: Day traders often rely on the first 5 minutes of the trading session to gauge market sentiment, watch for opening price gaps, or plan entries. This script draws a horizontal line at the high or low of the first 5 minutes, which can act as a key level for the rest of the day.
- How to Use: If the price breaks above or below the first 5-minute line, it can signal momentum. You might enter a long position if the price breaks above the first 5-minute high or a short if it breaks below the first 5-minute low.
2. Session Time Highlights:
- Morning Session (9:15–10:30 AM): The market often shows its strongest price action during the first hour of trading. This session is highlighted in yellow. You can use this highlight to focus on the most volatile period, as this is when large institutional moves tend to occur.
- Afternoon Session (12:30–2:55 PM): The blue highlight helps you track the mid-afternoon session, where liquidity may decrease, and price action can sometimes be choppier. Day traders should be more cautious during this period.
- How to Use: By highlighting these key times, you can:
- Focus on key breakouts during the morning session.
- Be more conservative in your trades during the afternoon, as market volatility may drop.
3. Dynamic Labels:
- Top/Bottom Positioning: The script places labels dynamically based on the selected position (Top or Bottom). This allows you to quickly glance at the session's start and identify where you are in terms of time.
- How to Use: Use these labels to remind yourself when major time segments (morning or afternoon) begin. You can adjust your trading strategy depending on the session, e.g., being more aggressive in the morning and more cautious in the afternoon.
Trading Strategy Suggestions:
1. Momentum Trades:
- After the first 5 minutes, use the high/low of that period to set up breakout trades.
- Long Entry: If the price breaks the high of the first 5 minutes (especially if there's a strong trend).
- Short Entry: If the price breaks the low of the first 5 minutes, signaling a potential downtrend.
2. Session-Based Strategy:
- Morning Session (9:15–10:30 AM):
- Look for strong breakout patterns such as support/resistance levels, moving average crossovers, or candlestick patterns (like engulfing candles or pin bars).
- This is a high liquidity period, making it ideal for executing quick trades.
- Afternoon Session (12:30–2:55 PM):
- The market tends to consolidate or show less volatility. Scalping and mean-reversion strategies work better here.
- Avoid chasing big moves unless you see a clear breakout in either direction.
3. Support and Resistance:
- The first 5-minute high/low often acts as a key support or resistance level for the rest of the day. If the price holds above or below this level, it’s an indication of trend continuation.
4. Breakout Confirmation:
- Look for breakouts from the highlighted session time ranges (e.g., 9:15 AM–10:30 AM or 12:30 PM–2:55 PM).
- If a breakout happens during a key time window, combine that with other technical indicators like volume spikes , RSI , or MACD for confirmation.
---
Example Day Trader Usage:
1. First 5 Minutes Strategy: After the market opens at 9:15 AM, watch the price action for the first 5 minutes. The high and low of these 5 minutes are critical levels. If the price breaks above the high of the first 5 minutes, it might indicate a strong bullish trend for the day. Conversely, breaking below the low may suggest bearish movement.
2. Morning Session: After the first 5 minutes, focus on the **9:15 AM–10:30 AM** window. During this time, look for breakout setups at key support/resistance levels, especially when paired with high volume or momentum indicators. This is when many institutions make large trades, so price action tends to be more volatile and predictable.
3. Afternoon Session: From 12:30 PM–2:55 PM, the market might experience lower volatility, making it ideal for scalping or range-bound strategies. You could look for reversals or fading strategies if the market becomes too quiet.
Conclusion:
As a day trader, you can use this script to:
- Track and react to key price levels during the first 5 minutes.
- Focus on high volatility in the morning session (9:15–10:30 AM) and **be cautious** during the afternoon.
- Use session-based timing to adjust your strategies based on the time of day.
Smart Money Concepts (Advanced)Inspired and initially based on LuxAlgo's Smart Money Concepts Indicator I created a library lib_smc that started to convert every function and return objects. This allowed certain customizations like tracking the current fill level of FVGs or tracking the creation of Order Blocks, by monitoring consecutive bars against the current trend.
This indicator is provided as is, based on, but probably not always be up to date with my lib_smc that I am using for my projects.
WARNING: This indicator shows EXPERIMENTAL Order Blocks that are tracked LIVE. Unlike usual Order Blocks these are not just based on the last confirmed Swing Point (formed 50 bars before) but on consecutive candles opposing an unconfirmed trend. Blocks are confirmed by price movements relative to the unconfirmed block and unconfirmed swing points. This means that some Order Blocks will appear on pullbacks, as well as reversals.
Features
Swing Points (HH / LH / HL / LL), indicating support / resistance zones price might reject off of or want to push through
Market Structure (BOS / ChoCh), indicates confirmation for a continued / changing trend
live Order Blocks (OB), see warning above.
Fair Value Gaps (FVG), optional from higher timeframes
Equal Highs / Lows (EQH/EQL), indicates strong support / resistance zones, especially when the bars forming it have long wicks toward that zone
using my lib_no_delay all moving averages are working from bar 0, so it can be used on charts with limited bars
PreMarket_Estimator Portfolio [n_dot]AMEX:SOXL ; NASDAQ:TQQQ ; AMEX:FNGU ; AMEX:SOXS ; NASDAQ:SQQQ ; AMEX:FNGD
Strategy Core Idea:
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
Usage:
The indicator is best used in pairs: Pre_Market_Estimator Single and Pre_Market_Estimator Portfolio.
In this portfolio version, you can set up 6 different instruments, which are displayed stacked vertically on the screen, while the single version monitors only one instrument. The portfolio does not plot charts at the actual price levels but offsets them vertically, displaying the current prices in a label at the end of each chart.
Settings:
Time point 1: Start of the observation period.
Time point 2: End of the observation period / Start of the trading period.
GAP: is used to adjust the distance between the charts displayed in the portfolio view. This allows you to customize the spacing for better readability and visualization of the monitored instruments.
Usage:
Set the timeframe period to "1m".
Set Time point 1 to the start of the premarket session on the current day (e.g., NYSE: 9:00).
Set Time point 2 to the market open (e.g., NYSE: 9:30).
The indicator monitors the highest price during the premarket period, marking it with a blue line.
During the subsequent trading period, if the price exceeds the premarket high, it generates a buy signal marked with a blue plus sign.
Limitations:
The premarket prediction typically provides actionable signals during the first 30 minutes to 1 hour of the trading session. After this, the trend is usually driven by daily market events or news.
To reduce data usage, the portfolio version of the indicator (which monitors 6 instruments simultaneously) only loads the last 24 hours of data (60 * 24 minutes). After this, the chart stops providing signals, and the time points need to be reset.
Additional Use Cases:
This type of breakout monitoring is not only suitable for observing premarket events but can also provide relevant information before major announcements.
For example, in the case of central bank rate hikes:
Set Point 1 to 1 hour before the announcement.
Set Point 2 to the time of the announcement.
I hope this contributes to your success!
Venta's DikFat Spread Visualizer & Dynamic Options Chain
**Venta's DikFat Spread Visualizer and Options Chain Strike Scanner** is a powerful trading tool designed to give users an immediate view of the nearest options strikes relative to the current price of the underlying asset. This script dynamically displays a selected number of call and put options strikes from the **options chain**, visualizing them directly on the chart for better decision-making.
By default, the script shows options strikes for the current chart’s price, but users have the flexibility to extend the view to include strikes on the opposite side of the market. The available options allow you to show either 3, 6, or 9 strikes on either side of the current price level.
This tool is essential for options traders who want to track strike prices in relation to the underlying asset's price movements. It provides key visual clues such as strike price distributions, volatility, and potential areas of market basing—all in a customizable and user-friendly interface.
---
█ CONCEPTS
This script pulls real-time **options strikes** directly from the **options chain**, providing traders with the ability to see call and put strikes as dynamic price markers on their chart. The concept revolves around understanding the proximity and distribution of strikes based on the current price and market conditions.
Key Features
**Dynamic Options Strike Display**: The script automatically identifies and displays the options strikes closest to the current market price of the underlying asset.
**Customizable Strike Range**: Choose between 3, 6, or 9 strikes on either side of the current price, giving flexibility in visualizing different strike ranges.
**Current Chart Focused by Default**: When added to the chart, the script focuses on the strikes closest to the current price. However, users can opt to include strikes on the opposite side of the market for a broader view.
**Instant Market Context**: The displayed
strikes offer a snapshot of the options market and how the current price relates to potential option expiration levels, helping traders understand key zones.
**Visual Clues on Spreads & Volatility**: This script not only displays the strikes but also provides instant visual clues that reflect the volatility and spread of the options market.
---
█ HOW IT WORKS
The script operates by accessing the **options chain** for the underlying asset, identifying the nearest call and put strikes, and plotting them as visual markers on the chart. This real-time strike data is dynamic, adjusting automatically as the market price moves.
Strike Calculation
The script uses the current price of the underlying asset as a base point and calculates the nearby **options strikes** from the **options chain**.
Depending on the user's settings, the script will plot up to 9 strikes on either side of the price level.
This calculation is performed using live market data, making sure the plotted strikes always reflect the most current market conditions.
Visual Clues
**Spreads**: The space between the plotted call and put options strikes provides immediate insights into the current bid/ask spreads. If the spread between strike prices is wide, it suggests increased volatility or a higher level of uncertainty in the market. Conversely, narrow spreads often indicate market stability or a lack of price movement.
**Market Basing**: When options strikes form a concentrated group near a certain price level, it can indicate that the market is building up or basing at a key level. This might signal the potential for a breakout or a reversal.
**Volatility Insights**: Wider gaps between strikes, particularly on the call side versus the put side (or vice versa), can indicate an imbalance in options trading activity, often a reflection of higher volatility expectations. This visual clue can help traders assess when the market is pricing in significant movements.
Customization and User Settings
**Number of Strikes**: The number of options strikes shown is fully customizable, allowing users to display 3, 6, or 9 strikes on either side.
**Show Opposite Strikes**: By default, the script shows strikes on the current side of the market, but users can enable the option to show strikes on the opposite side to gain a more complete view of the market's options landscape.
**Strike Colors & Width**: Customize the visual appearance of the plotted strikes by adjusting the color and line width for better clarity and chart aesthetics.
---
█ POTENTIAL USE CASES
This indicator is especially valuable for **options traders**, **market analysts**, and anyone interested in gaining insights into the underlying options market. Here are some of the key use cases:
**Options Traders**: Quickly identify the nearest strike prices and understand the risk/reward potential for options positions. The ability to customize the number of strikes shown allows traders to focus on the most relevant price levels.
**Volatility Monitoring**: Use the visual clues from the spread between strike prices to assess the level of volatility in the options market. A wider spread suggests that options traders are expecting more significant price moves, while a narrow spread indicates less expected movement.
**Support and Resistance Identification**: The clustering of strike prices on one side of the market can indicate a potential support or resistance level. By monitoring these levels, traders can get a sense of where the market may reverse or consolidate.
**Market Sentiment Analysis**: A large concentration of call strikes above the current price level, or put strikes below, can be an indication of market sentiment, such as whether traders are generally bullish or bearish.
**Risk Management**: By tracking nearby options strikes, traders can adjust their strategies to minimize risk, especially when market price levels approach significant strike points.
---
█ FEATURES
**Real-Time Data**: The script pulls data from the **options chain**, ensuring that the plotted strikes are always up-to-date with the current market price.
**User-Friendly Interface**: Clear and customizable inputs allow users to easily adjust the number of strikes displayed and control visual settings such as colors and line widths.
**Visual Strike Indicators**: Instantly spot volatility, market basing, and spread imbalances through visual clues from the plotted strikes, enhancing your market analysis.
---
█ LIMITATIONS
**Accuracy Depends on Market Data**: This indicator relies on the available **options chain** data. While the data is updated in real-time, its accuracy may depend on the liquidity and availability of options contracts in the market.
**Not Suitable for Non-Options Traders**: If you don’t trade options, the relevance of this indicator may be limited as it is designed specifically to provide insight into the options market.
**Data Delays**: In fast-moving markets, there may be a slight delay in the updating of strike prices, depending on the data feed.
---
█ HOW TO USE
**Load the Script**: Add the **Venta's DikFat Spread Visualizer and Options Chain Strike Scanner** script to your TradingView chart.
**Adjust Settings**: Use the input options to select the number of strikes you want to display (3, 6, or 9). You can also choose whether to display only the current chart’s strikes or include strikes from the opposite side.
**Interpret the Strikes**: Look at the plotted strikes to gain insights into where the market is currently pricing options and where major strike prices are located. Pay attention to the spreads, concentrations, and volatility signals.
**Monitor the Market**: As the market moves, watch how the strikes shift and cluster, providing you with real-time information about market sentiment and potential volatility.
---
█ THANKS
We would like to extend our gratitude to the PineCoders community for their ongoing support and contributions to the TradingView Pine Script ecosystem. Special thanks to The Options Team.
Fibonacci Time-Price Zones🟩 Fibonacci Time-Price Zones is a chart visualization tool that combines Fibonacci ratios with time-based and price-based geometry to analyze market behavior. Unlike typical Fibonacci indicators that focus solely on horizontal price levels, this indicator incorporates time into the analysis, providing a more dynamic perspective on price action.
The indicator offers multiple ways to visualize Fibonacci relationships. Drawing segmented circles creates a unique perspective on price action by incorporating time into the analysis. These segmented circles, similar to TradingView's built-in Fibonacci Circles, are derived from Fibonacci time and price levels, allowing traders to identify potential turning points based on the dynamic interaction between price and time.
As another distinct visualization method, the indicator incorporates orthogonal patterns, created by the intersection of horizontal and vertical Fibonacci levels. These intersections form L-shaped connections on the chart, derived from key Fibonacci price and time intervals, highlighting potential areas of support or resistance at specific points in time.
In addition to these geometric approaches, another option is sloped lines, which project Fibonacci levels that account for both time and price along the trendline. These projections derive their angles from the interplay between Fibonacci price levels and Fibonacci time intervals, creating dynamic zones on the chart. The slope of these lines reflects the direction and angle of the trend, providing a visual representation of price alignment with market direction, while maintaining the time-price relationship unique to this indicator
The indicator also includes horizontal Fibonacci levels similar to traditional retracement and extension tools. However, unlike standard tools, traders can display retracement levels, extension levels, or both simultaneously from a single instance of the indicator. These horizontal levels maintain consistency with the chosen visualization method, automatically scaling and adapting whether used with circles, orthogonal patterns, or slope-based analysis.
By combining these distinct methods—circles, orthogonal patterns, sloped projections, and horizontal levels—the indicator provides a comprehensive approach to Fibonacci analysis based on both time and price relationships. Each visualization method offers a unique perspective on market structure while maintaining the core principle of time-price interaction.
⭕ THEORY AND CONCEPT ⭕
While traditional Fibonacci tools excel at identifying potential support and resistance levels through price-based ratios (0.236, 0.382, 0.618), they do not incorporate the dimension of time in market analysis. Extensions and retracements effectively measure price relationships within trends, yet markets move through both price and time dimensions simultaneously.
Fibonacci circles represent an evolution in technical analysis by incorporating time intervals alongside price levels. Based on the mathematical principle that markets often move in circular patterns proportional to Fibonacci ratios, these circles project potential support and resistance zones as partial circles radiating from significant price points. However, traditional circle-based tools can create visual complexity that obscures key market relationships. The integration of time into Fibonacci analysis reveals how price movements often respect both temporal and price-based ratios, suggesting a deeper geometric structure to market behavior.
The Fibonacci Time-Price Zones indicator advances these concepts by providing multiple geometric approaches to visualize time-price relationships. Each shape option—circles, orthogonal patterns, slopes, and horizontal levels—represents a different mathematical perspective on how Fibonacci ratios manifest across both dimensions. This multi-faceted approach allows traders to observe how price responds to Fibonacci-based zones that account for both time and price movements, potentially revealing market structure that purely price-based tools might miss.
Shape Options
The indicator employs four distinct geometric approaches to analyze Fibonacci relationships across time and price dimensions:
Circular : Represents the cyclical nature of market movements through partial circles, where each radius is scaled by Fibonacci ratios incorporating both time and price components. This geometry suggests market movements may follow proportional circular paths from significant pivot points, reflecting the harmonic relationship between time and price.
Orthogonal : Constructs L-shaped patterns that separate the time and price components of Fibonacci relationships. The horizontal component represents price levels, while the vertical component measures time intervals, allowing analysis of how these dimensions interact independently at key market points.
Sloped : Projects Fibonacci levels along the prevailing trend, incorporating both time and price in the angle of projection. This approach suggests that support and resistance levels may maintain their relationship to price while adjusting to the temporal flow of the market.
Horizontal : Provides traditional static Fibonacci levels that serve as a reference point for comparing price-only analysis with the dynamic time-price relationships shown in the other three shapes. This baseline approach allows traders to evaluate how the incorporation of time dimension enhances or modifies traditional Fibonacci analysis.
By combining these geometric approaches, the Fibonacci Time-Price Zones indicator creates a comprehensive analytical framework that bridges traditional and advanced Fibonacci analysis. The horizontal levels serve as familiar reference points, while the dynamic elements—circular, orthogonal, and sloped projections—reveal how price action responds to temporal relationships. This multi-dimensional approach enables traders to study market structure through various geometric lenses, providing deeper insights into time-price symmetry within technical analysis. Whether applied to retracements, extensions, or trend analysis, the indicator offers a structured methodology for understanding how markets move through both price and time dimensions.
🛠️ CONFIGURATION AND SETTINGS 🛠️
The Fibonacci Time-Price Zones indicator offers a range of configurable settings to tailor its functionality and visual representation to your specific analysis needs. These options allow you to customize zone visibility, structures, horizontal lines, and other features.
Important Note: The indicator's calculations are anchored to user-defined start and end points on the chart. When switching between charts with significantly different price scales (e.g., from Bitcoin at $100,000 to Silver at $30), adjustment of these anchor points is required to ensure correct positioning of the Fibonacci elements.
Fibonacci Levels
The indicator allows users to customize Fibonacci levels for both retracement and extension analysis. Each level can be individually configured with the following options:
Visibility : Toggle the visibility of each level to focus on specific areas of interest.
Level Value : Set the Fibonacci ratio for the level, such as 0.618 or 1.000, to align with your analysis needs.
Color : Customize the color of each level for better visual clarity.
Line Thickness : Adjust the line thickness to emphasize critical levels or maintain a cleaner chart.
Setup
Zone Type : Select which Fibonacci zones to display:
- Retracement : Shows potential pull back levels within the trend
- Extension : Projects levels beyond the trend for potential continuation targets
- Both : Displays both retracement and extension zones simultaneously
Shape : Choose from four visualization methods:
- Circular : Time-price based semicircles centered on point B
- Orthogonal : L-shaped patterns combining time and price levels
- Sloped : Trend-aligned projections of Fibonacci levels
- Horizontal : Traditional horizontal Fibonacci levels
Visual Settings
Fill % : Adjusts the fill intensity of zones:
0% : No fill between levels
100% : Maximum fill between levels
Lines :
Trendline : The base A-B trend with customizable color
Extension : B-C projection line
Retracement : B-D pullback line
Labels :
Points : Show/hide A, B, C, D markers
Levels : Show/hide Fibonacci percentages
Time-Price Points
Set the time and price for the points that define the Fibonacci zones and horizontal levels. These points are defined upon loading the chart. These points can be configured directly in the settings or adjusted interactively on the live chart.
A and B Points : These user-defined time and price points determine the basis for calculating the semicircles and Fibonacci levels. While the settings panel displays their exact values for fine-tuning, the easiest way to modify these points is by dragging them directly on the chart for quick adjustments.
Interactive Adjustments : Any changes made to the points on the chart will automatically synchronize with the settings panel, ensuring consistency and precision.
🖼️ CHART EXAMPLES 🖼️
Fibonacci Time-Price Zones using the 'Circular' Shape option. Note the price interaction at the 0.786 level, which acts as a support zone. Additional points of interest include resistance near the 0.618 level and consolidation around the 0.5 level, highlighting the utility of both horizontal and semicircular Fibonacci projections in identifying key price areas.
Fibonacci Time-Price Zones using the 'Sloped' Shape option. The chart displays price retracing along the sloped Fibonacci levels, with blue arrows highlighting potential support zones at 0.618 and 0.786, and a red arrow indicating potential resistance at the 1.0 level. This visual representation aligns with the prevailing downtrend, suggesting potential selling pressure at the 1.0 Fibonacci level.
Fibonacci Time-Price Zones using the 'Orthogonal' Shape option. The chart demonstrates price action interacting with vertical zones created by the orthogonal lines at the 0.618, 0.786, and 1.0 Fibonacci levels. Blue arrows highlight potential support areas, while red arrows indicate potential resistance areas, revealing how the orthogonal lines can identify distinct points of price interaction.
Fibonacci Time-Price Zones using the 'Circular' Shape option. The chart displays price action in relation to segmented circles emanating from the starting point (point A). The circles represent different Fibonacci ratios (0.382, 0.5, 0.618, 0.786) and their intersections with the price axis create potential zones of support and resistance. This approach offers a visually distinct way to analyze potential turning points based on both price and time.
Fibonacci Time-Price Zones using the 'Sloped' Shape option. The sloped Fibonacci levels (0.786, 0.618, 0.5) create zones of potential support and resistance, with price finding clear interaction within these areas. The ellipses highlight this price action, particularly the support between 0.786 and 0.618, which aligns closely with the trend.
Fibonacci Time-Price Zones using the 'Circular' Shape option. The price action appears to be ‘hugging’ the 0.5 Fibonacci level, suggesting potential resistance. This demonstrates how the circular zones can identify potential turning points and areas of consolidation which might not be seen with linear analysis.
Fibonacci Time-Price Zones using the 'Sloped' Shape option with Point D marker enabled. The chart demonstrates clear price action closely following along the sloped Retracement line until the orthogonal intersection at the 0.618 levels where the trend is broken and price dips throughout the 0.618 to 0.786 horizontal zone. Price jumps back to the retracement slope at the start of the 0.786 horizontal zone and continues to the 1.0 horizontal zone. The aqua-colored retracement line is enabled to further emphasize this retracement slope .
Geometric validation using TradingView's built-in Fibonacci Circle tool (overlaid). The alignment at the 0.5 and 1.0 levels demonstrates the indicator's consistent approximation of Fibonacci Circles.
Comparison of Fibonacci Time-Price Zones (Shape: Horizontal) with TradingView's Built-in Retracement and Extension Tools (overlaid): This example demonstrates how the Horizontal structure aligns with TradingView’s retracement and extension levels, allowing users to integrate multiple tools seamlessly. The Fibonacci circle connects retracement and extension zones, highlighting the potential relationship between past retracements and future extensions.
📐 GEOMETRIC FOUNDATIONS 📐
This indicator integrates circular and straight representations of Fibonacci levels, specifically the Circular , Orthogonal , Sloped , and Horizontal shape options. The geometric principles behind these shapes differ significantly, requiring distinct scaling methods for accurate representation. The Circular shape employs logarithmic scaling with radial expansion, where the distance from a central point determines the level's position, creating partial circles that align with TradingView's built-in Fibonacci Circle tool. The other three shapes utilize geometric progression scaling for linear extension from a starting point, resulting in straight lines that align with TradingView's built-in Fibonacci retracement and extension tools. Due to these distinct geometric foundations and scaling methods, perfectly aligning both the partial circles and straight lines simultaneously is mathematically constrained, though any differences are typically visually imperceptible.
The Circular shape's partial circles are calculated and scaled to align with TradingView's built-in Fibonacci Circles. These circles are plotted from the second swing point onward. This approach ensures consistent and accurate visualization across all market types, including those with gaps or closed sessions, which unlike 24/7 markets, do not have a direct one-to-one correspondence between bar indices and time. To maintain accurate geometric proportions across varying chart scales, the indicator calculates an aspect ratio by normalizing the proportional difference between vertical (price) and horizontal (time) distances of the swing points. This normalization factor ensures geometric shapes maintain their mathematical properties regardless of price scale magnitude or time period span, while maintaining the correct proportions of the geometric constructions at any chart zoom level.
The indicator automatically applies the appropriate scaling factor based on the selected shape option, optimizing either circular proportions and proper radius calculations for each Fibonacci level, or straight-line relationships between Fibonacci levels. These distinct scaling approaches maintain mathematical integrity while preserving the essential characteristics of each geometric representation, ensuring optimal visualization accuracy whether using circular or linear shapes.
⚠️ DISCLAIMER ⚠️
The Fibonacci Time-Price Zones indicator is a visual analysis tool designed to illustrate Fibonacci relationships through geometric constructions incorporating both curved and straight lines, providing a structured framework for identifying potential areas of price interaction. It is not intended as a predictive or standalone trading signal indicator.
The indicator calculates levels and projections using user-defined anchor points and Fibonacci ratios. While it aims to align with TradingView’s Fibonacci extension, retracement, and circle tools by employing mathematical and geometric formulas, no guarantee is made that its calculations are identical to TradingView's proprietary methods.
Like all technical and visual indicators, these visual representations may visually align with key price zones in hindsight, reflecting observed price dynamics. However, these visualizations are not standalone signals for trading decisions and should be interpreted as part of a broader analytical approach.
This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis. Users are encouraged to integrate it into a comprehensive trading strategy, customizing its settings to suit their specific needs and market conditions.
🧠 BEYOND THE CODE 🧠
The Fibonacci Time-Price Zones indicator is designed to encourage both education and community engagement. By integrating time-sensitive geometry with Fibonacci-based frameworks, it bridges traditional grid-based analysis with dynamic time-price relationships. The inclusion of semicircles, horizontal levels, orthogonal structures, and sloped trends provides users with versatile tools to explore the interaction between price movements and temporal intervals while maintaining clarity and adaptability.
As an open-source tool, the indicator invites exploration, experimentation, and customization. Whether used as a standalone resource or alongside other technical strategies, it serves as a practical and educational framework for understanding market structure and Fibonacci relationships in greater depth.
Your feedback and contributions are essential to refining and enhancing the Fibonacci Time-Price Zones indicator. We look forward to the creative applications, adaptations, and insights this tool inspires within the trading community.
R-based Strategy Template [Daveatt]Have you ever wondered how to properly track your trading performance based on risk rather than just profits?
This template solves that problem by implementing R-multiple tracking directly in TradingView's strategy tester.
This script is a tool that you must update with your own trading entry logic.
Quick notes
Before we dive in, I want to be clear: this is a template focused on R-multiple calculation and visualization.
I'm using a basic RSI strategy with dummy values just to demonstrate how the R tracking works. The actual trading signals aren't important here - you should replace them with your own strategy logic.
R multiple logic
Let's talk about what R-multiple means in practice.
Think of R as your initial risk per trade.
For instance, if you have a $10,000 account and you're risking 1% per trade, your 1R would be $100.
A trade that makes twice your risk would be +2R ($200), while hitting your stop loss would be -1R (-$100).
This way of measuring makes it much easier to evaluate your strategy's performance regardless of account size.
Whenever the SL is hit, we lose -1R
Proof showing the strategy tester whenever the SL is hit: i.imgur.com
The magic happens in how we calculate position sizes.
The script automatically determines the right position size to risk exactly your specified percentage on each trade.
This is done through a simple but powerful calculation:
risk_amount = (strategy.equity * (risk_per_trade_percent / 100))
sl_distance = math.abs(entry_price - sl_price)
position_size = risk_amount / (sl_distance * syminfo.pointvalue)
Limitations with lower timeframe gaps
This ensures that if your stop loss gets hit, you'll lose exactly the amount you intended to risk. No more, no less.
Well, could be more or less actually ... let's assume you're trading futures on a 15-minute chart but in the 1-minute chart there is a gap ... then your 15 minute SL won't get filled and you'll likely to not lose exactly -1R
This is annoying but it can't be fixed - and that's how trading works anyway.
Features
The template gives you flexibility in how you set your stop losses. You can use fixed points, ATR-based stops, percentage-based stops, or even tick-based stops.
Regardless of which method you choose, the position sizing will automatically adjust to maintain your desired risk per trade.
To help you track performance, I've added a comprehensive statistics table in the top right corner of your chart.
It shows you everything you need to know about your strategy's performance in terms of R-multiples: how many R you've won or lost, your win rate, average R per trade, and even your longest winning and losing streaks.
Happy trading!
And remember, measuring your performance in R-multiples is one of the most classical ways to evaluate and improve your trading strategies.
Daveatt
Polyphase Stochastic RSI (PSRSI)The Polyphase Stochastic RSI (PSRSI) provides a continuous estimate of higher timeframe Stochastic RSI behavior by using polyphase decimation. The number of phases represents the timeframe multiplier - for example, 3 phases approximates a 3x higher timeframe.
While traditional higher timeframe indicators only update at the completion of each higher timeframe bar, the PSRSI creates a continuous signal by maintaining multiple phase-shifted calculations and combining them with appropriate anti-aliasing filters. This approach eliminates the gaps and discontinuities typically seen in higher timeframe indicators, though the resulting signal may sometimes deviate from the true higher timeframe values due to its estimative nature.
The indicator processes data through parallel phase calculations, each handling a different subset of price data offset in time. These phases are then filtered and combined to prevent aliasing artifacts that occur in simple timeframe conversions. The result is a smooth, continuous signal that starts providing meaningful values immediately, without requiring a warm-up period of higher timeframe bars.
Users can choose between RSI and Stochastic RSI modes, with both benefiting from the same polyphase processing technique. The indicator maintains the standard interpretation of overbought and oversold conditions while providing a more continuous view of higher timeframe momentum.
Historical High/Lows Statistical Analysis(More Timeframe interval options coming in the future)
Indicator Description
The Hourly and Weekly High/Low (H/L) Analysis indicator provides a powerful tool for tracking the most frequent high and low points during different periods, specifically on an hourly basis and a weekly basis, broken down by the days of the week (DOTW). This indicator is particularly useful for traders seeking to understand historical behavior and patterns of high/low occurrences across both hourly intervals and weekly days, helping them make more informed decisions based on historical data.
With its customizable options, this indicator is versatile and applicable to a variety of trading strategies, ranging from intraday to swing trading. It is designed to meet the needs of both novice and experienced traders.
Key Features
Hourly High/Low Analysis:
Tracks and displays the frequency of hourly high and low occurrences across a user-defined date range.
Enables traders to identify which hours of the day are historically more likely to set highs or lows, offering valuable insights into intraday price action.
Customizable options for:
Hourly session start and end times.
22-hour session support for futures traders.
Hourly label formatting (e.g., 12-hour or 24-hour format).
Table position, size, and design flexibility.
Weekly High/Low Analysis by Day of the Week (DOTW):
Captures weekly high and low occurrences for each day of the week.
Allows traders to evaluate which days are most likely to produce highs or lows during the week, providing insights into weekly price movement tendencies.
Displays the aggregated counts of highs and lows for each day in a clean, customizable table format.
Options for hiding specific days (e.g., weekends) and customizing table appearance.
User-Friendly Table Display:
Both hourly and weekly data are displayed in separate tables, ensuring clarity and non-interference.
Tables can be positioned on the chart according to user preferences and are designed to be visually appealing yet highly informative.
Customizable Date Range:
Users can specify a start and end date for the analysis, allowing them to focus on specific periods of interest.
Possible Uses
Intraday Traders (Hourly Analysis):
Analyze hourly price action to determine which hours are more likely to produce highs or lows.
Identify intraday trading opportunities during statistically significant time intervals.
Use hourly insights to time entries and exits more effectively.
Swing Traders (Weekly DOTW Analysis):
Evaluate weekly price patterns by identifying which days of the week are more likely to set highs or lows.
Plan trades around days that historically exhibit strong movements or price reversals.
Futures and Forex Traders:
Use the 22-hour session feature to exclude the CME break or other session-specific gaps from analysis.
Combine hourly and DOTW insights to optimize strategies for continuous markets.
Data-Driven Trading Strategies:
Use historical high/low data to test and refine trading strategies.
Quantify market tendencies and evaluate whether observed patterns align with your strategy's assumptions.
How the Indicator Works
Hourly H/L Analysis:
The indicator calculates the highest and lowest prices for each hour in the specified date range.
Each hourly high and low occurrence is recorded and aggregated into a table, with counts displayed for all 24 hours.
Users can toggle the visibility of empty cells (hours with no high/low occurrences) and adjust the table's design to suit their preferences.
Supports both 12-hour (AM/PM) and 24-hour formats.
Weekly H/L DOTW Analysis:
The indicator tracks the highest and lowest prices for each day of the week during the user-specified date range.
Highs and lows are identified for the entire week, and the specific days when they occur are recorded.
Counts for each day are aggregated and displayed in a table, with a "Totals" column summarizing the overall occurrences.
The analysis resets weekly, ensuring accurate tracking of high/low days.
Code Breakdown:
Data Aggregation:
The script uses arrays to store counts of high/low occurrences for both hourly and weekly intervals.
Daily data is fetched using the request.security() function, ensuring consistent results regardless of the chart's timeframe.
Weekly Reset Mechanism:
Weekly high/low values are reset at the start of a new week (Monday) to ensure accurate weekly tracking.
A processing flag ensures that weekly data is counted only once at the end of the week (Sunday).
Table Visualization:
Tables are created using the table.new() function, with customizable styles and positions.
Header rows, data rows, and totals are dynamically populated based on the aggregated data.
User Inputs:
Customization options include text colors, background colors, table positioning, label formatting, and date ranges.
Code Explanation
The script is structured into two main sections:
Hourly H/L Analysis:
This section captures and aggregates high/low occurrences for each hour of the day.
The logic is session-aware, allowing users to define custom session times (e.g., 22-hour futures sessions).
Data is displayed in a clean table format with hourly labels.
Weekly H/L DOTW Analysis:
This section tracks weekly highs and lows by day of the week.
Highs and lows are identified for each week, and counts are updated only once per week to prevent duplication.
A user-friendly table displays the counts for each day of the week, along with totals.
Both sections are completely independent of each other to avoid interference. This ensures that enabling or disabling one section does not impact the functionality of the other.
Customization Options
For Hourly Analysis:
Toggle hourly table visibility.
Choose session start and end times.
Select hourly label format (12-hour or 24-hour).
Customize table appearance (colors, position, text size).
For Weekly DOTW Analysis:
Toggle DOTW table visibility.
Choose which days to include (e.g., hide weekends).
Customize table appearance (colors, position, text size).
Select values format (percentages or occurrences).
Conclusion
The Hourly and Weekly H/L Analysis indicator is a versatile tool designed to empower traders with data-driven insights into intraday and weekly market tendencies. Its highly customizable design ensures compatibility with various trading styles and instruments, making it an essential addition to any trader's toolkit.
With its focus on accuracy, clarity, and customization, this indicator adheres to TradingView's guidelines, ensuring a robust and valuable user experience.
