Period Separator + Future LinesDescription
This indicator draws vertical separator lines for each selected timeframe (e.g., daily or hourly) and also projects additional separator lines into the future.
It helps traders visually divide the chart into consistent time periods and see upcoming period boundaries in advance.
Features
- Draws vertical lines at the start of each chosen period (daily by default).
- Extends several separator lines into the future so you can anticipate upcoming sessions.
- Fully customizable: color, style (solid/dashed/dotted), line width, and timeframe can be adjusted from the settings.
- Lines are plotted without distorting auto-scaling, so the chart view remains clean.
Use Case
Ideal for intraday and swing traders who want clear visual time markers and the ability to prepare for upcoming trading sessions.
Buscar en scripts para "sessions"
Intraday vs Overnight OBV🔍 Purpose
This indicator provides a volume-weighted cumulative flow model that mimics On-Balance Volume (OBV) logic but splits the volume impact into intraday vs. overnight sessions. It allows traders to track how volume contributes to price movement in each session and identify whether buying/selling pressure is stronger during or outside of regular trading hours.
This indicator attempts to alleviate some of the downfalls of the standard OBV indicator, which only looks at total volume and total direction. The price of stocks generally behaves extremely differently during market hours and outside market hours, and many of the large moves happen outside of regular market hours on low volume.
⚙️ Core Features
1) OBV-style calculation:
If price increases → volume is added to the OBV stream.
If price decreases → volume is subtracted.
If price is flat → OBV remains unchanged.
2) Session splitting:
Intraday session: movement from today's open to close.
Overnight session: movement from yesterday’s close to today’s open.
Volume is split proportionally between these two periods based on user input.
3) Four visualization modes:
"Intraday" — plots only OBV from intraday price movement.
"Overnight" — plots only OBV from overnight price movement.
"Aggregate" — plots the sum of intraday and overnight OBV for a holistic view.
"Both Intraday and Overnight" — plots intraday and overnight OBV separately on the same chart.
📐 Inputs
1) Synthetic OBV Type:
"Intraday" — Show OBV from open to close only.
"Overnight" — Show OBV from prior close to today's open only.
"Aggregate" — Show a single line combining both.
"Both Intraday and Overnight" — Show both lines on the same chart.
2) Estimated Overnight Volume %:
Percentage of total daily volume assumed to occur during extended hours.
The rest is allocated to regular session (intraday).
Default: 20% overnight, 80% intraday.
🧮 How It Works
Volume Splitting:
Total bar volume is split into overnight Volume and intraday Volume:
Intraday change is the difference between today’s close and open.
Overnight change is the difference between today’s open and yesterday’s close.
Session OBV Calculations:
OBV is incremented/decremented by the session's allocated volume, depending on whether the session’s price change was positive or negative.
Aggregate OBV:
Combines both session deltas for a holistic volume flow view.
📊 Interpretation
Rising OBV (any stream) suggests accumulation; falling OBV suggests distribution.
Divergences between price and OBV lines (especially overnight vs. intraday) can reveal where hidden buying/selling is occurring.
Comparing intraday vs overnight OBV can help:
Spot whether institutional demand is building off-hours.
Detect retail vs. institutional behavior (retail trades often dominate intraday; institutional may prefer after-hours).
💡 Use Cases
Identify whether overnight gaps are supported by overnight volume momentum.
Detect accumulation in low-volume overnight sessions.
Compare intraday and overnight strength during earnings season or news events.
Complement traditional OBV by seeing session-based breakdowns.
Time Period Highlighter V2This indicator highlights custom time periods on any intraday chart in TradingView, making it easier to visualize your preferred trading sessions.
You can define up to three separate time ranges per day, each with precise start and end times down to the minute (e.g., 08:30 - 12:15, 14:00 - 16:45, and 20:00 - 22:30). The indicator shades the background of your chart during these periods, helping you quickly identify when you're most active or when specific market conditions occur.
Key Features:
Set start and end times (hours and minutes) for up to three trading sessions.
Automatically highlights these periods across any intraday timeframe.
Uses 24-hour time format aligned with your TradingView chart timezone.
Perfect for day traders, scalpers, or anyone needing clear visual cues for their trading windows.
This tool is especially useful for reviewing trading strategies, backtesting, or ensuring you're focusing on high-probability market hours.
Tip: Double-check that your chart timezone matches your desired session times for accurate highlighting.
C&B Auto MK5C&B Auto MK5.2ema BullBear
Overview
The C&B Auto MK5.2ema BullBear is a versatile Pine Script indicator designed to help traders identify bullish and bearish market conditions across various timeframes. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, bull/bear signals, and market condition labels, making it suitable for swing trading, day trading, or scalping in trending or volatile markets.
What It Does
This indicator generates bull and bear signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, a 50/200 EMA trend filter, and user-defined time windows. It adapts to market volatility by adjusting EMA lengths and RSI thresholds. A dynamic cloud highlights trend direction or neutral zones, with candlestick coloring in neutral conditions. Market condition labels (current and historical) provide real-time trend and volatility context, displayed above the chart.
How It Works
The indicator uses the following components:
EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder triggers potential bull/bear signals. EMA lengths adjust based on volatility (e.g., 10/20 for volatile markets, 5/10 for non-volatile).
Dynamic Cloud: The area between the EMAs forms a cloud, colored green for bullish trends, red for bearish trends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility.
RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within volatility-adjusted bull/bear thresholds and not in overbought/oversold zones.
ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)).
50/200 EMA Trend Filter: An optional filter restricts bull signals to bullish trends (50 EMA > 200 EMA) and bear signals to bearish trends (50 EMA < 200 EMA).
Time Filter: Signals are restricted to a user-defined UTC time window (default 9:00–15:00), aligning with active trading sessions.
Market Condition Labels: Labels above the chart display the current trend (Bullish, Bearish, Neutral) and optionally volatility (e.g., “Bullish Volatile”). Up to two historical labels persist for a user-defined number of bars (default 5) to show recent trend changes.
Visual Aids: Bull signals appear as green triangles/labels below the bar, bear signals as red triangles/labels above. Candlesticks in neutral zones are colored (default yellow).
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to match your trading style.
Filters:
Enable/disable the ATR volatility filter to focus on high-volatility periods.
Enable/disable the 50/200 EMA trend filter to align signals with the broader trend.
Enable the time filter and set custom UTC hours/minutes (default 9:00–15:00).
Cloud Settings: Adjust the cloud width, neutral zone threshold, color, and transparency.
EMA Colors: Use default trend-based colors or set custom colors for short/long EMAs.
RSI Display: Toggle the scaled RSI and its thresholds, with customizable colors.
Signal Settings: Toggle bull/bear labels and set signal colors.
Market Condition Labels: Toggle current/historical labels, include/exclude volatility, and adjust decay period.
Interpret Signals:
Bull Signal: A green triangle or “Bull” label below the bar indicates potential bullish momentum (EMA crossover, RSI above bull threshold, within time window, passing filters).
Bear Signal: A red triangle or “Bear” label above the bar indicates potential bearish momentum (EMA crossunder, RSI below bear threshold, within time window, passing filters).
Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; consider range-bound strategies or avoid trading.
Market Condition Labels: Check labels above the chart for real-time trend (Bullish, Bearish, Neutral) and volatility status to confirm market context.
Monitor Context: Use the cloud, RSI, and labels to assess trend strength and volatility before acting on signals.
Unique Features
Volatility-Adaptive EMAs: Automatically adjusts EMA lengths based on ATR to suit volatile or non-volatile markets, reducing manual configuration.
Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets.
Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, simplifying momentum analysis relative to price.
Flexible Time Filtering: Supports precise UTC-based trading windows, ideal for day traders targeting specific sessions.
Historical Market Labels: Displays recent trend changes (up to two) with a decay period, providing context for market shifts.
50/200 EMA Trend Filter: Aligns signals with the broader market trend, enhancing signal reliability.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in fast-moving markets due to EMA-based calculations.
Neutral zone detection may vary in extremely volatile or illiquid markets.
Time filters are UTC-based; ensure your platform’s timezone settings align.
This indicator is designed for traders seeking a customizable, trend-following tool that adapts to volatility and provides clear visual cues with robust filtering for bullish and bearish market conditions.
Session Profile AnalyzerWhat’s This Thing Do?
Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin.
The Cool Stuff It Does:
Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.”
ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level.
VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry).
TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone?
Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it).
How to Play With It:
Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at).
Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes.
Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision.
Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end).
How It All Works (No PhD Required):
RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping.
ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action.
VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash.
TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting.
Why You’ll Like It:
Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff.
Heads-Up:
Load enough history for those micro timeframes to shine (1S needs some bars to work with).
Keeps things light won’t bog down your chart even with decent-sized sessions.
Let’s Roll:
Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
AMD Session Structure Levels# Market Structure & Manipulation Probability Indicator
## Overview
This advanced indicator is designed for traders who want a systematic approach to analyzing market structure, identifying manipulation, and assessing probability-based trade setups. It incorporates four core components:
### 1. Session Price Action Analysis
- Tracks **OHLC (Open, High, Low, Close)** within defined sessions.
- Implements a **dual tracking system**:
- **Official session levels** (fixed from the session open to close).
- **Real-time max/min tracking** to differentiate between temporary spikes and real price acceptance.
### 2. Market Manipulation Detection
- Identifies **manipulative price action** using the relationship between the open and close:
- If **price closes below open** → assumes **upward manipulation**, followed by **downward distribution**.
- If **price closes above open** → assumes **downward manipulation**, followed by **upward distribution**.
- Normalized using **ATR**, ensuring adaptability across different volatility conditions.
### 3. Probability Engine
- Tracks **historical wick ratios** to assess trend vs. reversal conditions.
- Calculates **conditional probabilities** for price moves.
- Uses a **special threshold system (0.45 and 0.03)** for reversal signals.
- Provides **real-time probability updates** to enhance trade decision-making.
### 4. Market Condition Classification
- Classifies market conditions using a **wick-to-body ratio**:
```pine
wick_to_body_ratio = open > close ? upper_wick / (high - low) : lower_wick / (high - low)
```
- **Low ratio (<0.25)** → Likely a **trend day**.
- **High ratio (>0.25)** → Likely a **range day**.
---
## Why This Indicator Stands Out
### ✅ Smarter Level Detection
- Uses **ATR-based dynamic levels** instead of static support/resistance.
- Differentiates **manipulation from distribution** for better decision-making.
- Updates probabilities **in real-time**.
### ✅ Memory-Efficient Design
- Implements **circular buffers** to maintain efficiency:
```pine
var float manipUp = array.new_float(lookbackPeriod, 0.0)
var float manipDown = array.new_float(lookbackPeriod, 0.0)
```
- Ensures **constant memory usage**, even over extended trading sessions.
### ✅ Advanced Probability Calculation
- Utilizes **conditional probabilities** instead of simple averages.
- Incorporates **market context** through wick analysis.
- Provides **actionable signals** via a probability table.
---
## Trading Strategy Guide
### **Best Entry Setups**
✅ Wait for **price to approach manipulation levels**.
✅ Confirm using the **probability table**.
✅ Check the **wick ratio for context**.
✅ Enter when **conditional probability aligns**.
### **Smart Exit Management**
✅ Use **distribution levels** as **profit targets**.
✅ Scale out **when probabilities shift**.
✅ Monitor **wick percentiles** for confirmation.
### **Risk Management**
✅ Size positions based on **probability readings**.
✅ Place stops at **manipulation levels**.
✅ Adjust position size based on **trend vs. range classification**.
---
## Configuration Tips
### **Session Settings**
```pine
sessionTime = input.session("0830-1500", "Session Hours")
weekDays = input.string("23456", "Active Days")
```
- Match these to your **primary trading session**.
- Adjust for different **market opens** if needed.
### **Analysis Parameters**
```pine
lookbackPeriod = input.int(50, "Lookback Period")
low_threshold = input.float(0.25, "Trend/Range Threshold")
```
- **50 periods** is a good starting point but can be optimized per instrument.
- The **0.25 threshold** is ideal for most markets but may need adjustments.
---
## Market Structure Breakdown
### **Trend/Continuation Days**
- **Characteristics:**
✅ Small **opposing wicks** (minimal counter-pressure).
✅ Clean, **directional price movement**.
- **Bullish Trend Day Example:**
✅ Small **lower wicks** (minimal downward pressure).
✅ Strong **closes near the highs** → **Buyers in control**.
- **Bearish Trend Day Example:**
✅ Small **upper wicks** (minimal upward pressure).
✅ Strong **closes near the lows** → **Sellers in control**.
### **Reversal Days**
- **Characteristics:**
✅ **Large opposing wicks** → Failed momentum in the initial direction.
- **Bullish Reversal Example:**
✅ **Large upper wick early**.
✅ **Strong close from the lows** → **Sellers failed to maintain control**.
- **Bearish Reversal Example:**
✅ **Large lower wick early**.
✅ **Weak close from the highs** → **Buyers failed to maintain control**.
---
## Summary
This indicator systematically quantifies market structure by measuring **manipulation, distribution, and probability-driven trade setups**. Unlike traditional indicators, it adapts dynamically using **ATR, historical probabilities, and real-time tracking** to offer a structured, data-driven approach to trading.
🚀 **Use this tool to enhance your decision-making and gain an objective edge in the market!**
Adaptive Volatility-Scaled Oscillator [AVSO] (Zeiierman)█ Overview
The Adaptive Volatility-Scaled Oscillator (AVSO) is a dynamic trading indicator that measures and visualizes volatility-adjusted market behavior. By scaling various metrics (such as volume, price changes, standard deviation, ATR, and Yang-Zhang volatility) and applying adaptive smoothing, AVSO helps traders identify market conditions where volatility deviates significantly from the norm.
This indicator uses standardized scaling (Z-Score logic) to highlight periods of abnormally high or low volatility relative to recent history. With gradient coloring and clear volatility zones, AVSO provides a visually intuitive way to analyze market volatility and adapt trading strategies accordingly.
█ How It Works
⚪ Scaling Metrics: The indicator scales user-selected metrics (e.g., volume, ATR, standard deviation) relative to the market and price, providing a standardized volatility measure.
⚪ Z-Score Standardization: The scaled metric is normalized using a Z-Score to measure how far current volatility deviates from its recent mean.
Positive Z-Score: Above-average volatility.
Negative Z-Score: Below-average volatility.
⚪ Adaptive Smoothing: An Adaptive EMA smooths the Z-Score, dynamically adjusting its length based on the strength of the volatility. Stronger deviations result in shorter smoothing, increasing responsiveness.
█ Unique Feature: Yang-Zhang Volatility
The Yang-Zhang volatility estimator sets this indicator apart by providing a more robust and accurate measure of volatility compared to traditional methods like ATR or standard deviation.
⚪ What Makes Yang-Zhang Volatility Unique?
Comprehensive Calculation: It combines overnight price gaps (log returns from the previous close to the current open) and intraday price movements (high, low, and close).
Accurate for Gapped Markets: Traditional volatility measures can misrepresent price movement when significant gaps occur between sessions. Yang-Zhang accounts for these gaps, making it highly reliable for assets prone to overnight price jumps, such as stocks, cryptocurrencies, and futures.
Adaptable to Real Market Conditions : By including both close-to-open returns and intraday volatility, it provides a balanced and adaptive measure that captures the full volatility picture.
⚪ Why This Matters to Traders
Better Volatility Insights: Yang-Zhang offers a clearer view of true market volatility, especially in markets with price gaps or uneven trading sessions.
Improved Trade Timing: By identifying volatility spikes and calm periods more effectively, traders can time their entries and exits with greater confidence.
█ How to Use
Identify High and Low Volatility
A high Z-Score (>2) indicates significant market volatility. This can signal momentum-driven moves, breakouts, or areas of increased risk.
A low Z-Score (<-2) suggests low volatility or a calm market environment. This often occurs before a potential breakout or reversal.
Trade Signals
High Volatility Zones (background highlight): Monitor for potential breakouts, trend continuations, or reversals.
Low Volatility Zones: Anticipate range-bound conditions or upcoming volatility spikes.
█ Settings
Source: Select the price source for scaling calculations (close, high, low, open).
Metric Measure: Choose the volatility measure:
Volume: Scales raw volume.
Close: Uses closing price changes.
Standard Deviation: Price dispersion.
ATR: Average True Range.
Yang: Yang-Zhang volatility estimate.
Bars to Analyze: Number of historical bars used to calculate the mean and standard deviation of the scaled metric.
ATR / Standard Deviation Period: Lookback period for ATR or Standard Deviation calculation.
Yang Volatility Period: Period for the Yang-Zhang volatility estimator.
Smoothing Period: Base smoothing length for the adaptive smoothing line.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Wyckoff Trading Strategy for XAU/USD by KAIZVIETNAMXAU/USD TF M15 TP SL 20-30 pip
- Volume: Calculates the average volume based on the SMA to compare with the current trading volume.
- ATR (Average True Range): Calculated to determine price volatility.
- Support and Resistance Levels: Identifies support and resistance levels over the last 10 trading sessions.
Specific Point Identification
- A series of functions are defined to detect critical phases in the market structure, such as:
- Finding Preliminary Support: Recognizing signals of accumulation near support levels.
- Finding Selling Climax: Detecting signals of profit-taking near resistance levels.
- Finding Last Point of Support: Identifying points that provide stability for the price.
- Finding Preliminary Supply: Recognizing supply signals near resistance levels.
- Finding Buying Climax: Identifying strong buy signals accompanied by high trading volume.
- Finding Sign of Weakness: Determining instances of price adjustments that could lead to declines.
Market State Identification
- Accumulation: When the closing price is situated between the support and resistance levels.
- Distribution: When the closing price approaches the highest level of the previous few sessions.
- Sideways: When there is no clear bias toward either an upward or downward trend.
Buy and Sell Signals
- Buy Signals: Determined through finding preliminary support, selling climax, and last point of support.
- Sell Signals: Determined through finding preliminary supply, buying climax, and signs of weakness.
Chartonaut: GlimpseDisplays an overview of some key metrics as a table.
Market Cap : value of the company.
Float Shares : number of shares available for trading.
AR# : average range over the last # sessions.
ATR# : average true range over the last # sessions.
ATR#/MA# : distance of the current price from the given moving average (MA) in terms of ATR multiples.
Rel Volatility : current session's range, including gaps from previous close, relative to the ATR.
Additionally, it highlights some metrics if they are crossing a given threshold, as to warn that some criteria might not be met.
Standard Deviation based Upper Lower RangeThis script makes use of historical data for finding the standard deviation on daily returns. Based on the mean and standard deviation, the upper and lower range for the stock is shown upto 2x standard deviation. These bounds can be treated as volatility range for the next n trading sessions. This volatility is based on historical data. Users can change the lookback historical period, and can also set the time period (days) for upcoming trading sessions.
This indicator can be useful in determining stoploss and target levels along with the traditional support/resistance levels. It can also be useful in option trading where one needs to determine a range beyond which it is safe to sell an option.
A range of 1 SD has around 65% to 68% probability that it will not be breached. A range of 2 SD has around 95% probability that it will not be breached.
The indicator is based on Normal distribution theory. In future editions, I envision to also calculate the skewness and kurtosis so that we can determine if a stock is properly following Normal Distribution theory. That may further favor the calculated range.
ka66: Bar Range BandsThis tool takes a bar's range, and reflects it above the high and below the low of that bar, drawing upper and lower bands around the bar. Repeated for each bar. There's an option to then multiply that range by some multiple. Use a value greater than 1 to get wider bands, and less than one to get narrower bands.
This tool stems out of my frustration from the use of dynamic bands (like Keltner Channels, or Bollinger Bands), in particular for estimating take profit points.
Dynamic bands work great for entries and stop loss, but their dynamism is less useful for a future event like taking profit, in my experience. We can use a smaller multiple, but then we can often lose out on a bigger chunk of gains unnecessarily.
The inspiration for this came from a friend explaining an ICT/SMC concept around estimating the magnitude of a trend, by calculating the Asian Session Range, and reflecting it above or below on to the New York and London sessions. He described this as standard deviation of the Asian Range, where the range can thus be multiplied by some multiple for a wider or narrower deviation.
This, in turn, also reminded me of the Measured Move concept in Technical Analysis. We then consider that the market is fractal in nature, and this is why patterns persist in most timeframes. Traders exist across the spectrum of timeframes. Thus, a single bar on a timeframe, is made up of multiple bars on a lower timeframe . In other words, when we reflect a bar's range above or below itself, in the event that in a lower timeframe, that bar fit a pattern whose take profit target could be estimated via a Measured Move , then the band's value becomes a more valid estimate of a take profit point .
Yet another way to think about it, by way of the fractal nature above, is that it is essentially a simplified dynamic support and resistance mechanism , even simpler than say the various Pivot calculations (e.g. Classical, Camarilla, etc.).
This tool in general, can also be used by those who manually backtest setups (and certainly can be used in an automated setting too!). It is a research tool in that regard, applicable to various setups.
One of the pitfalls of manual backtesting is that it requires more discipline to really determine an exit point, because it's easy to say "oh, I'll know more or less where to exit when I go live, I just want to see that the entry tends to work". From experience, this is a bad idea, because our mind subconsciously knows that we haven't got a trained reflex on where to exit. The setup may be decent, but without an exit point, we will never have truly embraced and internalised trading it. Again, I speak from experience!
Thus, to use this to research take profit/exit points:
Have a setup in mind, with all the entry rules.
Plot your setup's indicators, mark your signals.
Use this indicator to get an idea of where to exit after taking an entry based on your signal.
Credits:
@ICT_ID for providing the idea of using ranges to estimate how far a trend move might go, in particular he used the Asian Range projected on to the London and New York market sessions.
All the technicians who came up with the idea of the Measured Move.
Uptrick: FVG Market Zones**Uptrick: FVG Market Zones**
---
### Introduction
**Uptrick: FVG Market Zones** is a cutting-edge technical analysis tool designed to identify and visualize Fair Value Gaps (FVGs) within financial markets. This indicator focuses on pinpointing critical price levels where significant gaps occur, which can act as potential support and resistance zones. By integrating advanced volatility analysis and user-configurable parameters, the **Uptrick: FVG Market Zones** provides traders with a robust framework for understanding market dynamics and making informed trading decisions.
### Purpose and Functionality
The primary purpose of the **Uptrick: FVG Market Zones** indicator is to detect and highlight Fair Value Gaps, which are areas on a price chart where there is a significant price movement without any trading activity in between. These gaps can provide critical insights into market behavior, as they often indicate areas where the market has not fully accounted for the supply and demand dynamics. Traders use these zones to anticipate potential reversals, breakouts, or consolidations, making this tool highly valuable for both short-term and long-term trading strategies.
### Unique Features and Originality
The **Uptrick: FVG Market Zones** indicator is distinguished by its focus on FVGs and its ability to integrate this concept into a broader market analysis framework. Unlike other indicators that may offer generalized support and resistance levels, this tool specifically identifies and visualizes gaps based on volatility-adjusted criteria. This precision allows traders to focus on the most relevant market zones, improving their ability to anticipate market movements.
One of the standout features of this indicator is its user-configurable settings, which provide a high degree of customization. This flexibility ensures that traders can tailor the indicator to suit their specific trading style and the particular market they are analyzing. Additionally, the indicator's visualization capabilities are enhanced with customizable colors and gap-filling options, making it easier for traders to interpret and act on the information presented.
### Inputs and Configurations
**Uptrick: FVG Market Zones** comes with several user inputs that allow traders to customize the indicator's behavior and appearance. Each input plays a crucial role in determining how the indicator identifies and visualizes FVGs on the chart. Here’s a detailed breakdown of each input:
1. **FVG Analysis Period (fvgPeriod):**
- **Description:** This input determines the period over which the indicator analyzes the chart for identifying FVGs. By adjusting this value, traders can control how far back in time the indicator looks to detect significant gaps.
- **Default Value:** 25
- **Purpose:** A shorter period may focus on more recent market activity, making the indicator more sensitive to recent price movements. In contrast, a longer period allows the indicator to identify gaps that have remained unfilled for an extended time, potentially acting as stronger support or resistance levels.
2. **Analysis Mode (mode):**
- **Description:** The Analysis Mode input allows traders to choose between different methods of analyzing the chart for FVGs.
- **Options:** "Recent Gaps" and "Extended View"
- **Default Option:** "Recent Gaps"
- **Purpose:**
- **Recent Gaps:** Focuses on the latest significant gaps, providing traders with up-to-date information on the most relevant market zones.
- **Extended View:** Considers a broader range of gap patterns, which can be useful in markets where historical gaps may still influence current price action.
3. **Volatility Sensitivity (volatilityFactor):**
- **Description:** This input adjusts the sensitivity of the indicator to market volatility. It is used in calculating the threshold for identifying FVGs.
- **Default Value:** 0.3
- **Step Size:** 0.1
- **Purpose:** A higher sensitivity will cause the indicator to detect smaller gaps, which might be more frequent but less significant. Lower sensitivity focuses on larger, more impactful gaps, which are less frequent but potentially more powerful in predicting market behavior.
4. **Highlight Market Gaps (showGaps):**
- **Description:** A boolean input that determines whether the identified FVGs should be highlighted on the chart.
- **Default Value:** True
- **Purpose:** This input allows traders to toggle the visualization of FVGs. When enabled, the indicator highlights gaps using colored boxes, making them visually prominent on the chart.
5. **Bullish Highlight Color (bullColor):**
- **Description:** Sets the color used to highlight bullish FVGs (gaps that may indicate support).
- **Default Value:** #00FF7F (a shade of green)
- **Purpose:** The color choice is crucial for quickly distinguishing bullish zones from bearish ones. Green is typically associated with upward price movement, making it intuitive for traders to identify potential support areas.
6. **Bearish Highlight Color (bearColor):**
- **Description:** Sets the color used to highlight bearish FVGs (gaps that may indicate resistance).
- **Default Value:** #FF4500 (a shade of red)
- **Purpose:** Red is commonly associated with downward price movement, making it easy for traders to identify potential resistance areas. This color coding helps in quickly assessing the chart.
7. **Fill Gap Areas (fillGaps):**
- **Description:** A boolean input that determines whether the FVGs should be filled with a color on the chart.
- **Default Value:** True
- **Purpose:** Filling the gap areas provides a more solid visual cue for traders. It enhances the visibility of the gaps, making it easier to spot these zones during fast-paced trading sessions.
8. **Hidden Color (hidden):**
- **Description:** A color input that is used when certain elements should be hidden from the chart.
- **Default Value:** color.rgb(0,0,0,100) (a semi-transparent black)
- **Purpose:** This input is useful for controlling the visibility of certain plots or elements on the chart, ensuring that the indicator remains clean and uncluttered.
### Market Gap Detection
The core functionality of the **Uptrick: FVG Market Zones** indicator lies in its ability to detect Fair Value Gaps. These gaps occur when the price makes a significant jump from one level to another without any trading activity in between. The indicator uses a combination of price action analysis and volatility thresholds to identify these gaps.
- **Volatility Measurement:** The indicator begins by measuring market volatility using the Average True Range (ATR). This volatility measurement is then adjusted by the user-defined sensitivity factor, which determines the threshold for identifying significant gaps.
- **Gap Identification:** The indicator checks for instances where the current low is higher than the high two bars ago (bullish gap) or where the current high is lower than the low two bars ago (bearish gap). These conditions signify a potential FVG.
- **Gap Storage and Management:** Once a gap is identified, it is stored in an array. The indicator also manages the size of these arrays based on the selected analysis mode, ensuring that only the most relevant gaps are considered in the analysis.
### Visualization
Visualization is a key component of the **Uptrick: FVG Market Zones** indicator. By providing clear and customizable visual cues, the indicator ensures that traders can quickly and easily interpret the information it provides.
- **Gap Highlighting:** When enabled, the indicator highlights the identified FVGs on the chart using colored boxes. Bullish gaps are highlighted in green, while bearish gaps are highlighted in red. This color coding helps traders instantly recognize potential support and resistance zones.
- **Gap Filling:** The indicator can also fill the identified gaps with a semi-transparent color. This option enhances the visibility of the gaps, making them more prominent on the chart. Filled gaps are particularly useful for traders who want to keep track of these zones over multiple trading sessions.
- **Gap Averages:** The indicator calculates the average level of the identified gaps and plots these averages as lines on the chart. These lines represent the general area of support or resistance based on the detected gaps, providing traders with a reference point for setting their stop losses or profit targets.
- **Text Labels:** The indicator also labels each FVG with the text "FVG" inside the highlighted area. This feature ensures that traders can easily identify these zones even in charts with dense price action.
### Practical Applications
The **Uptrick: FVG Market Zones** indicator is versatile and can be applied to a wide range of trading strategies across different markets and timeframes. Here are a few examples of how this indicator can be used in practice:
1. **Support and Resistance Trading:**
- Traders can use the identified FVGs as dynamic support and resistance levels. By placing their trades based on these levels, they can take advantage of potential reversals or continuations at key market zones.
2. **Gap Filling Strategy:**
- Some traders focus on the concept of gap filling, where the market eventually returns to "fill" the gap created by rapid price movements. The **Uptrick: FVG Market Zones** indicator can
help identify such gaps and anticipate when the market might return to these levels.
3. **Breakout Trading:**
- The indicator can be used to identify breakouts from significant gaps. When the price moves beyond the identified FVGs, it may signal a strong trend continuation, providing an opportunity for breakout traders.
4. **Reversal Trading:**
- By monitoring the signals generated by the indicator, traders can identify potential market reversals. A sell signal after a prolonged uptrend or a buy signal after a downtrend may indicate a reversal, allowing traders to position themselves accordingly.
5. **Risk Management:**
- The average levels of the FVGs can be used to set stop-loss and take-profit levels. By aligning these levels with the FVG zones, traders can improve their risk management practices and enhance their trading discipline.
### Customization and Flexibility
One of the standout features of the **Uptrick: FVG Market Zones** indicator is its high level of customization. Traders can adjust various parameters to tailor the indicator to their specific needs and preferences.
- **Customizable Colors:** The indicator allows traders to choose their preferred colors for highlighting bullish and bearish gaps. This flexibility ensures that the indicator can be integrated seamlessly into any trading setup, regardless of the trader's color scheme preferences.
- **Adjustable Periods and Sensitivity:** By allowing traders to adjust the analysis period and volatility sensitivity, the indicator can be fine-tuned to suit different market conditions. For example, a trader might use a shorter analysis period and higher sensitivity in a volatile market, while opting for a longer period and lower sensitivity in a more stable market.
- **Toggling Visual Elements:** Traders can choose to enable or disable various visual elements of the indicator, such as gap highlighting, gap filling, and text labels. This level of control allows traders to declutter their charts and focus on the information that is most relevant to their trading strategy.
### Advantages and Benefits
The **Uptrick: FVG Market Zones** indicator offers several key advantages that make it a valuable tool for traders:
1. **Precision:** By focusing on Fair Value Gaps, the indicator provides highly precise levels of support and resistance, which are often more reliable than traditional horizontal levels.
2. **Clarity:** The clear visual representation of FVGs, along with the text labels and color coding, ensures that traders can quickly interpret the indicator's signals and incorporate them into their trading decisions.
3. **Adaptability:** The indicator's customizable settings allow it to be adapted to different markets, timeframes, and trading styles. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to meet your needs.
4. **Enhanced Decision-Making:** The trading signals generated by the indicator provide actionable insights that can help traders make more informed decisions. By aligning their trades with the identified FVG zones, traders can improve their chances of success.
5. **Risk Management:** The use of FVG zones as reference points for stop-loss and take-profit levels enhances risk management practices, helping traders protect their capital while maximizing their profit potential.
### Conclusion
The **Uptrick: FVG Market Zones** indicator is a powerful and versatile tool for traders seeking to enhance their market analysis and improve their trading outcomes. By focusing on Fair Value Gaps and providing a high level of customization, this indicator offers a unique blend of precision, clarity, and adaptability. Whether you are looking to identify key market zones, generate trading signals, or improve your risk management practices, the **Uptrick: FVG Market Zones** indicator is a valuable addition to any trader's toolkit.
With its innovative approach to market analysis and user-friendly design, **Uptrick: FVG Market Zones** stands out as an essential tool for traders who want to stay ahead of the market and make more informed trading decisions. Whether you are trading stocks, forex, commodities, or cryptocurrencies, this indicator provides the insights you need to navigate the markets with confidence and success.
Asian Range IndicatorIndicator Name:
Asian Range Indicator
Description:
This TradingView indicator is designed to accurately detect the price range during the Asian session, based on our trading strategy. This range is crucial for planning trades in the European and American sessions. Using advanced algorithms, the indicator automatically identifies and plots the highs and lows within the Asian session period, highlighting them on the chart with shaded areas for clear visualization. This helps traders anticipate breakouts and set more precise entry and exit levels.
How to Use the Indicator:
Add the indicator to your TradingView chart.
Observe the shaded areas representing the Asian range.
Use these levels to plan your trades during the European and American sessions.
Combine with other technical indicators to confirm your trading decisions.
Chart:
The chart published with this script is clean and easy to understand, clearly showing the Asian range highlighted with shaded areas. No other scripts are included, ensuring the indicator's output is easily identifiable. The shaded areas contribute to the visual understanding of the Asian range, helping traders effectively use the script.
CME Gap Detector [CryptoSea]The CME Gap Indicator , is a tool designed to identify and visualize potential price gaps in the cryptocurrency market, particularly focusing on gaps that occur during the weekend trading sessions. By highlighting these gaps, traders can gain insights into potential market movements and anticipate price behavior.
Key Features
Gap Identification: The indicator identifies gaps in price between the Friday close and the subsequent opening price on Monday. It plots these gaps on the chart, allowing traders to easily visualize and analyze their significance.
Weekend Price Comparison: It compares the closing price on Friday with the opening price on Monday to determine whether a gap exists and its magnitude.
Customizable Visualization: Traders have the option to customize the visualization of the gaps, including the color scheme for better clarity and visibility on the chart.
Neutral Candle Color Option: Users can choose to display neutral candle colors, enhancing the readability of the chart and reducing visual clutter.
How it Works
Data Fetching and Calculation: The indicator fetches the daily close price and calculates whether a gap exists between the Friday close and the subsequent Monday opening price.
Plotting: It plots the current price and the previous Friday's close on the chart, making it easy for traders to compare and analyze.
Gradient Fill: The indicator incorporates a gradient fill feature to visually represent the magnitude of the gap, providing additional insights into market sentiment.
Weekend Line Logic: It includes logic to identify Sunday bars and mark them on the chart, aiding traders in distinguishing weekend trading sessions.
Application
Gap Trading Strategy: Traders can use the identified gaps as potential entry or exit points in their trading strategies, considering the tendency of price to fill gaps over time.
Market Sentiment Analysis: Analyzing the presence and size of weekend gaps can provide valuable insights into market sentiment and participant behavior.
Risk Management: Understanding the existence and significance of gaps can help traders manage their risk exposure and make informed decisions.
The CME Gap indicator offers traders a valuable tool for analyzing weekend price gaps in the cryptocurrency market, empowering them to make informed trading decisions and capitalize on market opportunities.
Intraday Volatility Bands [Honestcowboy]The Intraday Volatility Bands aims to provide a better alternative to ATR in the calculation of targets or reversal points.
How are they different from ATR based bands?
While ATR and other measures of volatility base their calculations on the previous bars on the chart (for example bars 1954 to 1968). The volatility used in these bands measure expected volatility during that time of the day.
Why would you take this approach?
Markets behave different during certain times of the day, also called sessions.
Here are a couple examples.
Asian Session (generally low volatility)
London Session (bigger volatility starts)
New York Session (overlap of New York with London creates huge volatility)
Generally when using bands or channel type indicators intraday they do not account for the upcoming sessions. On London open price will quickly spike through a bollinger band and it will take some time for the bands to adjust to new volatility.
This script will show expected volatility targets at the start of each new bar and will not adjust during the bar. It already knows what price is expected to do at this time of day.
Script also plots arrows when price breaches either the top or bottom of the bands. You can also set alerts for when this occurs. These are non repainting as the script knows the level at start of the bar and does not change.
🔷 CALCULATION
Think of this script like an ATR but instead it uses past days data instead of previous bars data. Charts below should visualise this more clearly:
The scripts measure of volatility is based on a simple high-low.
The script also counts the number of bars that exist in a day on your current timeframe chart. After knowing that number it creates the matrix used in it's calculations and data storage.
See how it works perfectly on a lower timeframe chart below:
Getting this right was the hardest part, check the coding if you are interested in this type of stuff. I commented every step in the coding process.
🔷 SETTINGS
Every setting of the script has a tooltip but I provided a breakdown here:
Some more examples of different charts:
Kviateq - Session Opening RangesThis indicator plots the opening range for each of the market sessions.
Users can chose the length of the opening range, as well as change the time for each of the sessions.
This script is based on opening range breakout strategies, which entail taking a long/short depending on which way the price breaks out.
To trade it, we wait for the session opening range to print, and then we enter upon a candle close.
It's meant to be used on lower timeframes, ideally one hour or lower.
It can be used by itself, but it works even better in combination with other indicators, like moving averages.
Enjoy
Regression Candle Conversion IndicatorHey everyone!
I got a pseudo-request a while ago for something like this, essentially the ability to track where another ticker would fall based on an alternative ticker.
I did create my ticker correlation reference indicator which directly looks at the correlation between 2 tickers. However, this is an indicator that operates on the same principle but is more pragmatic for trading.
What does it do?
Well, in keeping with the theme of what I call my indicators, this has a title that explains exactly what it does, "Regression Candle Conversion Indicator" or "RCCI" for short. It uses simple regression to convert one ticker to another. So while you are tracking one indicator, you can see where the expected value should fall on the other.
Applications?
The big application of this for me is being able to track where SPY/QQQ or IWM is falling during overnight trading sessions. Extended trading hours close at 8 pm NYSE time. After that, you have to guess where futures prices will put the ETF version of it. This indicator will allow you to track where, theoretically, the underlying ETF ticker will fall based on the current trading behaviour.
Some other applications are just the ability to track how similar or dissimilar one stock is to the other. For example, if we wanted to trade, say, Boeing using shares of DFEN or ITA (a defence specific ETF), here is what we get:
In the chart above we can see BA as the primary chart and ITA as the RCCI converted chart. We will see 2 major things that should cause us concern.
First, there is a really poor correlation between the two tickers. This indicates that ITA may not produce the best exposure if I am directly looking for Boeing exposure.
Second, there is a wide standard error. this means that the results that the RCCI is providing may be skewed up to +/- 2 points (as indicated by the standard error chart).
Let's take a look at BA and DFEN:
In the above, we can see that the correlation is not great, but the standard error is quite low.
This means that, while this may not be the best ticker for Boeing exposure, the RCCI is able to confidently calculate the ticker within +/- 0.50 cents based on BA's underlying data.
However, its important to note that it is not advisable to really rely on these results if the correlation is less than + 0.5 or greater than -0.5.
Let's take a look at a few more examples:
Above we have BA (NYSE) vs BA (NEO TSX CAD Hedged). We can see the strong relationship and high confidence calculations.
And some others:
SPX (primary) and ES1! (secondary):
RTY and IWM:
ES1! and SPY:
Customizations:
As you can see above, it is pretty straight forward. There are 3 options:
Lookback Length: Determines the length of assessment for correlation and the regression assessment.
Manual Ticker Input: The indicator will pull the data from your current chart and compare it against a manually selected indicator. You must tell the indicator which ticker you are comparing against.
Data Table: This will show you the data table which contains the standard error assessment and the correlation assessment. These are determined by your lookback length. The lookback length is defaulted to 500.
And that's the indicator! It's pretty straight forward. Hopefully you find it helpful, especially if you track futures during overnight sessions.
Leave your comments/questions and feedback below.
Thanks for checking it out!
30 Second Futures Session Open RangeThis indicator displays 30 second opening ranges from Globex, Europe, and RTH sessions.
From the RTH session range, it also displays infinitely generating Price Targets based on a % of the opening range size.
I am retrieving the 30 second data using the new "request.security_lower_tf()" function.
The importance of these levels is based on the idea that when the market opens, algorithms establish their positions within the first 30 seconds.
These areas can also be seen as potential areas of support and resistance throughout the sessions.
Enjoy!
The Multi-day Central Pivot RangeThe indicator is a Multi-day CPR.
It shows CPR range as per yesterday's HLC and also CPR range for last n number of trading sessions.
For example: If you mention the value as two in Multi-day CPR (blue color) then it calculates the CPR using HLC of the last two trading sessions.
Also, the daily CPR is designed in such a way to highlight Virgin CPR (purple color) separately from the normal CPR(fuchsia color) .
CM Time Based Vertical LinesCM Time Based Lines
Requested by codetrader to Visually Show Day Change on Intra-Day Charts.
Custom Indicator: Ability To Plot Recurring Time Lines On Chart!
Example of Uses:
Plot Lines at Midnight to Show Daily Change.
Plot Lines at Opening of Different Sessions.
Plot Lines at Opening and Closing of Sessions.
Plot Lines Every 4 Hours (Forex) To See 4-Hour Price Action!
Ability to Change Times!
Ability to Plot Up To 6 Recurring Time Based Lines!
Plus Many Other Uses!
Ability To Turn On/Off Any of the 6 Customizable Lines in Inputs Tab!
Ability To Change Thickness of Lines to Cover Multiple Bars!
Williams Volatility Channel (Full Range Breakout)Overview
This indicator implements a volatility breakout system inspired by legendary trader Larry Williams. It plots daily breakout levels calculated as the previous day’s close ± the full previous day’s range (high – low). These levels act as extreme volatility expansion thresholds:
- Upper Level: Previous close + previous day’s range
- Lower Level: Previous close – previous day’s range
A price move beyond these levels signals a strong directional breakout driven by expanded volatility — a classic Larry Williams concept for identifying potential trend continuation or acceleration days.
This version uses the full prior range (multiplier = 1.0), making it more aggressive than Williams’ original examples (which often used smaller fractions like 0.25–0.5 × range). It is particularly useful on instruments with clear daily sessions and visible overnight gaps or volatility spikes.
Key Features
Daily breakout levels plotted as horizontal lines that update at the start of each new trading day.
Optional semi-transparent fill between upper and lower levels for better visual channel perception.
Subtle background shading on the first bar of each new day and new week for easier time orientation.
Configurable colors and visibility toggles.
Generic session duration input (informational only) to help estimate candles per day on non-standard markets (e.g., European indices ≈ 8.5h, US stocks ≈ 6.5h, crypto ≈ 24h).
How to Use the Indicator
Breakout Signals
Bullish Breakout: Price closes or sustains above the Upper Level → potential strong upward momentum. Consider long entries or adding to existing longs.
Bearish Breakout: Price closes or sustains below the Lower Level → potential strong downward momentum. Consider short entries or adding to existing shorts.
These breakouts often occur on news events, earnings, or when the market “wakes up” after low-volatility periods.
Trend Confirmation
Use the direction of the breakout to confirm the prevailing trend: In an uptrend, focus primarily on upside breakouts.
In a downtrend, focus primarily on downside breakouts.
Breakouts against the trend can signal potential reversals (use with caution and additional confirmation).
Support & Resistance
Once price has broken a level, that level often flips role: A broken Upper Level can act as support on pullbacks.
A broken Lower Level can act as resistance on bounces.
Risk Management
Place stops beyond the opposite level or use ATR-based stops.
Consider partial profit-taking at 1× or 2× the prior day’s range from entry.
Best Markets & Timeframes
Works well on: Stock indices (DAX, FTSE MIB, CAC, S&P 500 futures, etc.)
Individual stocks
Commodities and futures with defined daily sessions
Cryptocurrencies (adjust session hours to 24 for continuous markets)
Recommended intraday timeframes: 5–60 minutes. On higher timeframes (4H, daily), the levels still appear but are less frequently tested intraday.
Important Notes
This is a trend-following / momentum tool, not a mean-reversion or gap-fading strategy (unlike Larry Williams’ famous “OOPS” pattern).
False breakouts can occur in low-volatility or ranging markets — always use additional confluence (volume, trend filters, higher-timeframe context).
The session duration input is informational and allows definition of how many candles per day should be used in the calculation.
This indicator provides a clean, visually intuitive way to spot high-volatility breakout opportunities based on one of Larry Williams’ timeless volatility concepts. Add it to your charts and combine it with your existing trading system for enhanced entry timing on strong momentum days.
Elephant Edge Session Levels Predictor**Elephant Edge** is a robust trading tool designed to streamline decision-making for swing and intraday traders alike. It combines accuracy and simplicity to help you spot promising buy and sell signals with ease. The Session Levels Predictor+ feature draws upper and lower percentile lines derived from session data, enabling traders to pinpoint key support and resistance areas accurately. It computes these percentile projections from daily sessions automatically and displays them as sleek, adjustable lines—perfect for intraday and short-term strategies focused on statistical price boundaries.
For **swing traders**, Elephant Edge highlights pivotal market reversals and trend shifts, allowing you to seize bigger trends and maintain momentum. For **intraday traders**, it offers precise buy and sell thresholds, providing reliable entry and exit cues during active market hours.
No matter if you're chasing quick trades or sustaining positions over several sessions, Elephant Edge promotes a methodical and disciplined strategy. Its smart signals cut through market clutter, delivering a solid advantage while eliminating emotional biases.
With **Elephant Edge**, you shift from merely responding to the market to trading with **precision, assurance, and reliability**.
AI-based Price action confluence dashboard# **AI-Based Price Action Confluence Dashboard - Publication Guide**
Here's a comprehensive introduction guide for your TradingView indicator publication:
***
## **📊 TITLE**
**AI-Based Price Action Confluence Dashboard**
***
## **🎯 SHORT DESCRIPTION** (For the summary field)
A sophisticated real-time confluence scoring system that analyzes multiple price action signals across 15-minute timeframes, providing traders with an AI-weighted scoring mechanism (0-6 scale) to identify high-probability trade setups through visual signal panels and intelligent path detection.
***
## **📝 FULL DESCRIPTION**
### **Overview**
The AI-Based Price Action Confluence Dashboard is an advanced technical indicator designed to eliminate guesswork in intraday trading by systematically scoring and displaying multiple price action signals in real-time. Unlike traditional single-indicator approaches, this dashboard employs a confluence methodology that combines multiple independent signals to provide stronger trade confirmations and reduce false signals.
This indicator is specifically optimized for **1-minute chart analysis** while monitoring **15-minute price structure**, making it ideal for day traders and scalpers who need precise entry timing with larger timeframe context.
***
### **🔑 Key Features**
**✅ Real-Time AI Confluence Scoring**
- Dynamic scoring system (0-6 points) for both bullish and bearish setups
- Visual meter display shows signal strength at a glance
- Color-coded backgrounds indicate confluence levels (strong, moderate, mixed)
**✅ Multi-Signal Analysis**
The dashboard tracks 6 distinct signal types:
1. **FTFC (First to Finish Close)** - Base & Bonus signals
2. **Long/Short Grab** - Liquidity sweep patterns (Path A)
3. **High/Low Hold** - Extended momentum confirmation (+2 bonus)
4. **2-Up/2-Down** - Clean breakout patterns (Path B)
5. **Breakaway** - First candle gap strategies
**✅ Intelligent Path Detection**
- Mutually exclusive path logic prevents signal conflicts
- Automatically identifies whether price is following a "sweep path" or "clean path"
- Unavailable paths are clearly marked with gray indicators
**✅ Visual Signal Panels**
- 🟢 Green Light = Bullish signal ACTIVE
- 🔴 Red Light = Bearish signal ACTIVE
- 🟡 Yellow Light = Signal BUILDING (conditions partially met)
- ⚪ White Light = Signal OFF
- ▪️ Gray Square = Path UNAVAILABLE (mutually exclusive)
**✅ Comprehensive Alert System**
- 10 different alert conditions covering all major signals
- Strong confluence alerts (5+ points)
- Individual signal completion alerts
- Customizable alert messages
***
### **📐 How It Works**
#### **The Confluence Methodology**
This indicator implements a sophisticated confluence trading approach where multiple independent price action signals are combined to identify high-probability setups. Each signal type contributes points to either the bullish or bearish score, with a maximum of 6 points per direction.
**Scoring Breakdown:**
**BULLISH SIGNALS:**
- FTFC Base (15m close > previous 15m close) = +1
- FTFC Bonus (price clears 15th candle high) = +1
- **PATH A (Sweep):** Long Grab = +1, High Hold Bonus = +2
- **PATH B (Clean):** 2-Up = +1, 2-Up Bonus = +1
- Breakaway (gap above first candle) = +1
**BEARISH SIGNALS:**
- FTFC Base (15m close < previous 15m close) = +1
- FTFC Bonus (price clears 15th candle low) = +1
- **PATH A (Sweep):** Short Grab = +1, Low Hold Bonus = +2
- **PATH B (Clean):** 2-Down = +1, 2-Down Bonus = +1
- Breakaway (gap below first candle) = +1
#### **Path Detection Logic**
The indicator automatically determines which path the market is following:
**PATH A: SWEEP PATH**
- Activated when previous 15m low (bull) or high (bear) is breached
- Indicates liquidity grab before reversal
- Includes powerful +2 bonus for "Hold" confirmations
- Mutually exclusive with Path B
**PATH B: CLEAN PATH**
- Activated when previous 15m low (bull) or high (bear) holds
- Indicates strong directional momentum without sweep
- Cleaner price action but smaller point potential
- Mutually exclusive with Path A
This mutual exclusivity prevents double-counting and ensures signal accuracy.
***
### **🎨 How to Use**
#### **Installation**
1. Add indicator to your 1-minute chart
2. The dashboard appears as a table overlay (default: top right)
3. No additional indicators required - this is a complete system
#### **Reading the Dashboard**
**Top Section - Confluence Meter:**
- Shows current bull/bear scores with visual dot meters
- Background color changes based on confluence strength:
- **Bright Green/Red** = 5+ points (strong directional bias)
- **Medium Green/Red** = 3+ points (moderate bias)
- **Orange** = 3+ points both sides (conflicting signals)
- **Gray** = Low confluence (choppy conditions)
**Signal Panels Section:**
- Each row shows a signal type with bull/bear lights side-by-side
- Active signals (🟢🔴) contribute to the total score
- Building signals (🟡) indicate potential setups forming
- Unavailable paths (▪️) show which exclusive path is blocked
#### **Trading Strategy**
**High-Probability Long Entries:**
- Bull score ≥ 5 AND bear score ≤ 1
- Multiple green lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on pullback to key 15m level
**High-Probability Short Entries:**
- Bear score ≥ 5 AND bull score ≤ 1
- Multiple red lights active in signal panels
- PATH A or PATH B showing full completion
- Consider entry on rally to key 15m level
**Avoid Trading When:**
- Both scores are 3+ (conflicting signals)
- No path is showing active/building status
- Score is below 3 on both sides (low confluence)
#### **Risk Management**
- Use 15m swing high/low for stop placement
- Target opposing 15m level or previous session extremes
- Scale out at partial targets when confluence decreases
- Best results when combined with proper position sizing
***
### **⚙️ Customization**
**Dashboard Settings:**
- **Table Location:** Top Left, Top Right, Bottom Left, Bottom Right
- **Text Size:** Tiny, Small, Normal, Large
**Color Scheme:**
- **Bullish Color:** Customize green for bull signals (default: #00cc66)
- **Bearish Color:** Customize red for bear signals (default: #ff4444)
- **Building Color:** Customize yellow for forming signals (default: #ffaa00)
- **Inactive Color:** Customize gray for off signals (default: #555555)
- **Unavailable Color:** Customize dark gray for blocked paths (default: #333333)
All colors can be adjusted to match your chart theme or visual preferences.
***
### **🎯 Best Practices**
1. **Use on 1-minute charts only** - The indicator is calibrated for this timeframe
2. **Trade during liquid sessions** - Best results during NY/London overlap
3. **Wait for 3+ confluence** - Minimum threshold for trade consideration
4. **Watch path transitions** - Signal strength changes when paths flip
5. **Use alerts strategically** - Set alerts for 5+ confluence to catch strong setups
6. **Combine with volume** - High volume confirms signal validity
7. **Respect 15m structure** - Don't fight the larger timeframe bias
***
### **⚠️ Important Notes**
- This indicator is designed for **intraday trading only**
- Requires active monitoring during trading sessions
- Works best on liquid instruments (major forex pairs, indices, large-cap stocks)
- Not suitable for swing trading or position trading
- Past performance does not guarantee future results
- Always use proper risk management and position sizing
***
### **🏷️ Category**
**Oscillators** or **Volatility** (choose based on TradingView categories)
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### **🏷️ Suggested Tags**
- confluence
- price action
- day trading
- scalping
- intraday
- signals
- dashboard
- multi-timeframe
- 1-minute
- 15-minute
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### **📜 Disclaimer**
This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions. All trading involves risk, and you should never risk more than you can afford to lose. The developer assumes no responsibility for trading losses incurred through the use of this indicator. Always practice proper risk management and consider your own risk tolerance before trading.
