DT_KEY_LEVELSDT_Key_Levels: Powerful Market Structure Analysis Indicator
DT_Key_Levels is an advanced indicator for fundamental market structure analysis, optimized for higher timeframes (D1, W, M). The indicator combines three powerful technical analysis tools — fractals, Fair Value Gaps (FVG), and psychological levels — in one comprehensive solution.
Three Components of the Indicator
1. Enhanced Fractal System
The indicator uses an improved version of Bill Williams' classic fractals, allowing for deeper market structure analysis:
Dual Identification System:
Standard 5-bar fractals (displayed with thick lines) for analyzing reliable support/resistance levels
Light 3-bar fractals (displayed with thin lines) for early identification of potential reversal points
Intelligent Tracking System:
Automatic detection and filtering of completed fractals
Marking fractals with corresponding timeframe designation (HTF-1D, HTF-1W, HTF-1M)
Tracking and marking the All-Time High (ATH)
2. Fair Value Gaps (FVG) System
The indicator identifies and visualizes price gaps in market structure — zones that often act as magnets for future price movements:
Precise Identification of Inefficient Zones:
Bullish FVG: when the current candle's low is above the -2 candle's high
Bearish FVG: when the current candle's high is below the -2 candle's low
Detailed Visualization:
Clear display of upper and lower boundaries of each FVG
Midline (0.5 FVG) for determining key reaction levels within the gap
Marking each FVG with "FF" (Fair value Fill) label for quick identification
Dynamic Management:
Automatic removal of FVGs when they are filled by price movement
Customizable line extension for improved tracking of target zones
3. Intelligent Psychological Levels
The indicator automatically determines key psychological levels with adaptation to the type of instrument being traded:
Specialized Calibration for Various Assets:
Forex (EUR/USD, GBP/USD, USD/JPY): optimization for standard figures and round values
Precious metals (XAUUSD): adaptation to typical gold reaction zones with a $50 step
Cryptocurrencies (BTC, ETH): dynamic step adjustment depending on current price zone
Stock indices (NASDAQ, S&P500, DAX): accounting for the movement characteristics of each index
Smart Adaptation System:
Automatic determination of the optimal step for any instrument
Generation of up to 24 key levels, evenly distributed around the current price
Intelligent filtering to display only significant levels
Practical Application
Strategic Analysis
Identifying Key Structural Levels:
Use monthly and weekly fractals to determine strategic support/resistance zones
Look for coincidences of fractals with psychological levels to identify particularly strong zones of interest
Determine long-term barriers using type 5 fractals on higher timeframes
Analysis of Market Inefficiencies:
Track the formation of FVGs as potential targets for future movements
Use FVG midlines (0.5) as important internal reaction levels
Analyze the speed of FVG filling to understand trend strength
Tactical Trading Decisions
Entry Points and Risk Management:
Use bounces from fractals in the direction of the larger trend as a signal for entry
Place stop-losses behind fractal levels or key psychological levels
Monitor the formation of new fractals as a signal of potential reversal
Determining Target Levels:
Use unfilled FVGs as natural price targets
Apply nearby psychological levels for partial position closing
Project higher timeframe fractals to determine long-term goals
Indicator Advantages
Comprehensive Approach: combining three methodologies for a complete understanding of market structure
Intelligent Adaptation: automatic adjustment to the characteristics of different types of assets
Clean Visual Presentation: despite the abundance of information, the indicator maintains clarity of display
Effective Signal Filtering: automatic removal of completed levels to reduce visual noise
Higher Timeframe Optimization: specifically designed for daily, weekly and monthly charts
Usage Recommendations
Use the indicator only on D1, W, and M timeframes for the most reliable signals
Pay special attention to areas where different types of signals coincide (e.g., fractal + psychological level)
Use higher timeframe fractals as key zones for medium and long-term trading
Track FVGs as potential target zones and focus on their filling
Cerca negli script per "weekly"
Multi-Timeframe Price LevelsThis indicator displays key price levels from multiple timeframes on your chart, helping you identify important support and resistance zones.
## Features
- **Multiple Timeframes**: View price levels from 4H, Daily, 3-Day, Weekly, and Monthly charts simultaneously
- **Customizable Price Types**: Choose to display Open, Close, High, and Low prices
- **Color-Coded**: Each timeframe has its own color for easy identification
- **Fully Customizable**: Enable/disable specific timeframes and price types as needed
## How to Use
1. Add the indicator to your chart
2. Use the input options to select which timeframes and price types you want to display
3. Look for areas where multiple price levels converge - these often act as strong support/resistance zones
## Color Guide
- **Red**: 4-Hour timeframe
- **Blue**: Daily timeframe
- **Green**: 3-Day timeframe
- **Purple**: Weekly timeframe
- **Orange**: Monthly timeframe
For each timeframe, the transparency varies by price type:
- Open: 70% transparency
- Close: 50% transparency
- High: 30% transparency
- Low: 10% transparency (most visible)
## Trading Applications
- Identify key support and resistance levels
- Spot multi-timeframe confluences for stronger trade setups
- Plan entries and exits based on historical price reactions
- Set stop losses and take profit targets at significant levels
This indicator works best when combined with your existing trading strategy to confirm important price zones.
NEoWave Chart Cash Data The NEoWave Chart Cash Data indicator is an efficient tool for generating wave charts or cash data based on the NeoWave method, benefiting not only NeoWave analysts but also Elliott Wave practitioners. This indicator produces cash data with exceptional precision.
Developed by Glenn Neely, NeoWave is considered a more complete, scientific, and innovative iteration of the Elliott Wave theory. This method relies on a specialized chart known as a "wave chart" or "cash data," which, when drawn manually by recording the highest and lowest prices in their order of occurrence, is a complex and time-consuming process. However, this indicator automatically and in real-time identifies the highest and lowest prices for any symbol and time frame, plotting them in sequence. For instance, in a daily time frame, it separates each month's data and prepares a "monthly cash data chart" for analysis using the NeoWave method.
Fully compatible with all account types, this tool enables the creation of cash data across various time frames (from minutes to years) and customizable scales. Its standout features include real-time updates, watermarking capabilities, display of useful data in tables, detection of suspicious monowaves (where the highest and lowest prices occur within the same candlestick), simultaneous display of two cash data charts with different time frames, and the ability to view cash data for any desired time period.
CASH DATA TIMEFRAMES
The core feature of this indicator is CASH DATA TIMEFRAMES, which generates and displays Cash Data based on your base timeframe. Here’s how it works:
.1 Minute ("1"): Cash Data: 5, 10, 15, 30, 60, 120, 180 minutes
.3 Minutes ("3"): Cash Data: 30, 60, 120, 180, 240 minutes
.5 Minutes ("5"): Cash Data: 30, 60, 120, 180, 240 minutes, 1 day (1D)
.15 Minutes ("15"): Cash Data: 120, 180, 240 minutes, 1 day (1D), 2 days (2D), 3 days (3D)
.30 Minutes ("30"): Cash Data: 180, 240 minutes, 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W)
.1 Hour ("60"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W)
.2 Hours ("120"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M)
.3 Hours ("180"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M)
.4 Hours ("240"): Cash Data: 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M), 2 months (2M)
.Daily ("D"): Cash Data: 1 week (1W), 2 weeks (2W), 1 month (1M), 2 months (2M), 3 months (3M), 6 months (6M), 12 months (12M)
.Weekly ("W"): Cash Data: 2 months (2M), 3 months (3M), 6 months (6M)
.Monthly ("M"): Cash Data: 6 months (6M), 12 months (12M)
Suspicious monowaves
Suspicious monowaves, visible in the "Inputs" section under the label "Sus Monowaves," are highlighted in red upon detection. This occurs when the highest and lowest prices within a given time period appear in a single candlestick. As illustrated, suspicious monowaves are marked with red squares, and the candlestick indicated by a red arrow is the trigger for identifying these monowaves.
In such instances, our indicator automatically plots the monowaves with high precision. This feature is tailored for users seeking cash data of the utmost accuracy. Whenever these monowaves appear on the chart, it is recommended that users examine the suspicious monowaves in a lower time frame for further analysis.
Other Cash Data TF
One of the key features of this indicator is the "Other Cash Data TF" option, which, when enabled, allows you to create two cash data charts with different time frames within your base time frame. This feature becomes particularly useful when, for example, your base time frame is daily, and you’ve identified a pattern like a zigzag in the monthly cash data. To confirm this pattern, you need to examine the internal waves A and C to determine whether they are impulsive. By activating this option and setting "Other TF" to a weekly time frame, you can easily analyze the internal waves of your chosen wave without altering the base time frame.
When this option is activated, a column is added to the table, indicating that the "Base TF" is daily, "Cash Data TF" is monthly, and "Other Cash Data TF" is weekly (as shown in the image below).
Other features of the indicator include:
.A Table providing useful information such as the symbol, base time frame, cash data time frame (Cash Data TF), number of monowaves, and live price.
.Customizable options for the table (including color, size, and column removal), watermark, cash data lines, suspicious monowaves, and more.
.A Time Separator that divides the chart into equal periods.
.The ability to add a watermark.
50%er(PreMarket & ORB)50%er(PreMarket & ORB)
Overview:
50%er(PreMarket & ORB) is a streamlined version of my full 50%er script. It calculates the critical 50% level of the previous candle and extends this to daily, weekly, monthly, quarterly, and yearly timeframes. The script also detects and plots previous highs and lows for these timeframes, providing key price levels for traders. Additionally, it calculates and displays opening levels for the day, week, month, quarter, and year. A custom timeframe feature adds flexibility for setting 50% and high/low levels, catering to different trading preferences.
How It Works:
The script calculates the 50% midpoint of the previous candle’s high and low, a key support/resistance level for traders. It extends this logic across multiple timeframes, including daily, weekly, monthly, quarterly, and yearly, and tracks previous highs and lows for these periods. It also prints opening levels for various timeframes. The premarket high/low and ORB (Opening Range Breakout) levels are included when extended hours are enabled.
How to Use:
Adding to Chart: Apply the 50%er Script Lite to your TradingView chart.
Configuring Inputs: Adjust timeframes and levels to match your trading strategy. The custom timeframe feature allows for personalization.
Analyzing Levels: Use the plotted 50% lines and opening levels to identify potential support and resistance areas, as well as breakout or breakdown points.
Strategizing Trades: Incorporate these levels into your trading plan for potential entry and exit points.
What Makes It Original:
50%er Lite stands out for its simplicity and precision. It focuses on the essential 50% line and key price levels, offering a clear view of the market without unnecessary complexity. The inclusion of premarket levels and ORB breakout levels, along with the custom timeframe feature, makes it a versatile tool for traders of all levels.
Inner Circle Toolkit [TakingProphets]Inner Circle Toolkit — A Complete ICT Trading Companion
The Inner Circle Toolkit is a closed-source, all-in-one trading tool designed for traders following ICT (Inner Circle Trader) and Smart Money Concepts strategies. Every part of this script is built with purpose — not just a mashup of indicators, but a structured framework to help you follow price through the lens of institutional behavior and liquidity theory.
Let’s walk through what it does and how it can help you:
🕒 Session Liquidity Levels (Asia, London, New York, NY Lunch)
The indicator automatically marks the highs and lows of the major trading sessions:
-Asian Session
-London Session
-New York AM Session
-New York Lunch
These levels are important because price often returns to these points to grab liquidity before making a move. This gives traders clear areas to watch for potential sweeps, rejections, or reversals — without having to manually track session timings every day.
REQHs and REQLs — Equal Highs and Lows
This script detects Relatively Equal Highs and Lows (REQHs/REQLs), which are often used by institutions as stop-run targets.
It’s not just looking for copy-paste double tops or bottoms — it uses a tolerance-based algorithm that checks for clusters of similar highs or lows over a given time period. These are likely to hold stops and become magnets for price. When you see these on the chart, you’ll know where the “juice” is sitting.
Fair Value Gaps (FVG) — Multi-Timeframe
The script automatically plots Fair Value Gaps (FVGs) on both:
-Your current chart timeframe
-One or more higher timeframes (like H1 or H4)
These are three-candle gaps that form when price moves aggressively without filling in value. Price often comes back to these areas to rebalance. Seeing both local and higher-timeframe FVGs on your chart gives better context and helps with entries and exits.
The script is optimized so your chart doesn’t get messy — higher timeframe FVGs show up in a cleaner format with visual labels and lighter shading.
SMT Divergence — With Session Logic
This tool includes a real-time SMT divergence detector, based on the behavior of correlated markets like ES vs. NQ.
Here’s how it works:
If ES sweeps a liquidity level (like Asia Low), but NQ doesn’t, the script detects and marks that divergence.
This often signals institutional accumulation or distribution — a high-probability setup.
You won’t have to flip between charts or manually compare — the SMT logic runs automatically and only fires when it matters (at key session levels). It’s a smarter, more focused way to track intermarket divergences.
Daily Highs and Lows — Week-to-Week Structure
The indicator keeps track of the high and low for each day of the week — Monday through Friday — helping you understand how price is evolving across the week.
This helps build a weekly profile:
Did Monday set the high of the week?
Are we sweeping Tuesday’s low on Thursday?
These levels stay visible and labeled, helping you frame daily setups inside the bigger picture.
🕛 Midnight Open & 8:30 AM Open Levels
These two levels are core ICT concepts used to judge whether price is in premium or discount:
Midnight Open (00:00 EST): Used to determine daily bias
New York Open (08:30 EST): Often a launch point for key moves
Both are drawn automatically and extend throughout the day. This helps you align your trades with potential algorithmic bias, especially during NY session volatility.
⏰ 9:45 AM Vertical Marker — Macro Time Reminder
The script draws a subtle vertical line at 9:45 AM EST, which is the start of the NY AM macro session — one of the most likely times to see setups play out.
This is more than just a timer — it’s a visual cue that something important might be setting up soon, especially if you’re already watching SMT, FVGs, or liquidity zones from earlier.
How It All Connects — A Workflow, Not a Mashup
Every feature in this script is connected to the same goal: helping you trade with the Smart Money.
Here’s how the pieces work together:
Session levels → potential stop hunts
Equal highs/lows → targets
FVGs → entry points
SMT divergence → confirmation or warning
Daily highs/lows → Weekly structure frames bias
Open levels → premium vs. discount
Macro line → timing clue for execution
It’s built to help you flow with price action and trade the story, not just random signals.
Why It’s Closed Source — and Original
This script is closed-source because it contains:
A proprietary system for real-time SMT logic (with intermarket sweep detection)
Multi-timeframe FVG detection that auto-filters overlaps
Smart equal-high/low detection using range-based clustering
Optimized UI that shows a lot without overwhelming the chart
There are no moving averages, no public-domain indicators, and no mashup of standard tools. Everything here is purpose-built for traders who follow ICT strategies.
Let us know how we can improve!
Ultimate RVOL IndicatorThe Ultimate Multi-Timeframe RVOL Indicator is designed to provide powerful insights into market activity by analyzing relative volume (RVOL) on both the current and higher timeframes. By tracking volume spikes and comparing them to historical averages, this indicator helps traders detect institutional activity, confirm trends, and avoid false breakouts.
Key Features:
• Real-Time RVOL Analysis: Instantly see how today’s volume compares to the average over a customizable period.
• Multi-Timeframe Support: Monitor RVOL on a higher timeframe (e.g., daily or weekly) to detect significant market moves.
• Smart Alerts: Get notified when RVOL crosses a user-defined threshold, indicating potential breakouts or breakdowns.
• Visual Labels and Background Colors: See clear visual markers for high or low RVOL events.
• Trend Confirmation: Use HTF RVOL to validate the strength of moves on smaller timeframes.
⸻
🚀 How to Use:
1. Identify Strong Trends
• When RVOL > Threshold (e.g., 2x) and HTF RVOL is also elevated, institutions are likely participating.
• This confirms the strength of a move and increases confidence in a continuation.
2. Spot False Breakouts
• If RVOL spikes on your chart but HTF RVOL remains low, it may indicate a retail-driven move.
• Be cautious with these trades as they are more prone to failure.
3. Detect Potential Reversals
• When HTF RVOL spikes while intraday RVOL remains low, institutions may be quietly accumulating or distributing.
• Watch for a reversal or a significant move shortly after.
4. Volume Exhaustion
• A rapid RVOL spike followed by a drop in both RVOL and HTF RVOL may signal trend exhaustion.
• Consider locking in profits or tightening stops.
⸻
⚙️ Settings Guide:
• Lookback Period: Adjust how many bars are used for average volume calculation (e.g., 20 for intraday or 50 for swing trading).
• High RVOL Threshold: Set a multiplier to define what is considered a “high” RVOL. Common values range from 1.5x to 3x.
• Higher Timeframe (HTF): Choose a timeframe to track macro-level volume (e.g., Daily for intraday traders or Weekly for swing traders).
• Show Labels and Alerts: Enable to see clear notifications on volume spikes.
⸻
📊 Pro Tips:
• Use RVOL + HTF RVOL with key support and resistance levels for stronger trade setups.
• Combine with indicators like RSI or MACD to confirm momentum.
• Avoid trading on low RVOL days, as moves may lack conviction.
• When RVOL spikes dramatically, monitor price behavior for confirmation before entering a trade.
⸻
This indicator is ideal for day traders, swing traders, and momentum traders looking to leverage volume for smarter entries and exits. Let the Ultimate Multi-Timeframe RVOL Indicator keep you on the right side of market moves. Happy trading! 🚀
NBSG Mox-ZThe Mox-Z provides a visual representation of momentum and trend strength, enhanced with statistical bands to identify significant levels based on prior momentum.
What It Does
The indicator calculates the Mox-Z value as (EMA12(close) - EMA26(close)) - EMA9(EMA12(close) - EMA26(close))) * 3 using the higher timeframe's closing prices. This value is plotted as a histogram, with colors indicating its position relative to zero and Z-score bands:
Bright Green: Above +0.7 SD (strong bullish momentum).
Bright Red: Below -0.7 SD (strong bearish momentum).
Dark Green: Above zero but below +0.7 SD (moderate bullish momentum).
Dark Red: Below zero but above -0.7 SD (moderate bearish momentum).
Z-score bands are computed over a 200-period lookback on the higher timeframe, using a 0.7 multiplier on the standard deviation, offering a statistical context for the histogram's values.
How to Use It
Use the histogram to gauge momentum shifts on the selected higher timeframe (e.g., weekly momentum on a daily chart).
Bright colors (green/red) suggest potential overextension or strong trend continuation, useful for timing entries or exits.
Dark colors indicate moderate momentum, often signaling consolidation or early trend development.
The ±0.7 SD bands (gray lines) highlight statistically significant levels, aiding in identifying extremes relative to the past 200 periods of the chosen timeframe.
Originality and Purpose
Unlike standard MACD histograms, this script replicates the Mox-Z Indicator's unique scaling (*3 multiplier) and applies it strictly to higher timeframe data, avoiding current timeframe bias. The addition of Z-score bands provides a statistical edge, making it distinct from typical momentum indicators while maintaining simplicity for practical trading.
Settings
Higher Timeframe: Default is "1W" (weekly), but adjust to any timeframe higher than your chart (e.g., "1D" for daily, "1M" for monthly).
This indicator is ideal for traders seeking a higher timeframe momentum perspective with clear visual cues, without relying on complex multi-indicator setups.
Previous Week & Day High/LowPrevious Week & Day High/Low Indicator
The Previous Week & Day High/Low Indicator is designed to provide traders with key support and resistance levels based on historical price data. It automatically plots the previous day's and previous week's highs and lows as horizontal lines, offering a clear visual reference for potential breakout or reversal zones.
Features:
Clear Visual Levels: Displays previous day's highs and lows in green and red for easy identification.
Weekly Context: Plots previous week's highs and lows using distinct color-coded lines.
Real-Time Updates: Adjusts to new weekly and daily highs and lows as they are confirmed.
Labeled Lines: Each level is labeled directly on the chart, ensuring clarity without clutter.
Cartera SuperTrends v4 PublicDescription
This script creates a screener with a list of ETFs ordered by their average ROC in three different periods representing 4, 6 and 8 months by default. The ETF
BIL
is always included as a reference.
The previous average ROC value shows the calculation using the closing price from last month.
The current average ROC value shows the calculation using the current price.
The previous average column background color represents if the ETF average ROC is positive or negative.
The current average column background color represents if the ETF average ROC is positive or negative.
The current average column letters color represents if the current ETF average ROC is improving or not from the previous month.
Changes from V2 to V3
Added the option to make the calculation monthly, weekly or daily
Changes from V3 to V4
Adding up to 25 symbols
Highlight the number of tickers selected
Highlight the sorted column
Complete refactor of the code using a matrix of arrays
Options
The options available are:
Make the calculation monthly, weekly or daily
Adjust Data for Dividends
Manual calculation instead of using ta.roc function
Sort table
Sort table by the previous average ROC or the current average ROC
Number of tickers selected to highlight
First Period in months, weeks or days
Second Period in months, weeks or days
Third Period in months, weeks or days
Select the assets (max 25)
Usage
Just add the indicator to your favorite indicators and then add it to your chart.
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
TR FVG & Swing High Low FinderTR FVG & Swing Level Finder
Overview:
The TR FVG & Swing Level Finder is a powerful Pine Script indicator designed for traders who want to identify Fair Value Gaps (FVGs) and Swing Highs/Lows on their charts. This indicator combines two essential technical analysis tools into one, helping traders spot potential areas of support, resistance, and trend reversals. FVGs are price gaps that often act as areas of interest for price to return to, while swing highs and lows help identify key turning points in the market. The indicator is highly customizable, allowing users to adjust colors, limits, and display options to suit their trading style.
Key Features:
1: Fair Value Gap (FVG) Detection:
- Identifies Bullish FVGs: Occur when the high of two candles ago is lower than the low of the current candle, indicating a potential upward price movement.
- Identifies Bearish FVGs: Occur when the low of two candles ago is higher than the high of the current candle, indicating a potential downward price movement.
- Displays FVGs as colored boxes on the chart, with customizable border and fill colors based on the timeframe.
- Labels each FVG box with the corresponding timeframe (e.g., "1m FVG", "1h FVG", "Daily FVG").
2: Swing High and Swing Low Detection:
- Detects Swing Highs: A 3-candle pattern where the middle candle's high is higher than the highs of the candles on either side.
- Detects Swing Lows: A 3-candle pattern where the middle candle's low is lower than the lows of the candles on either side.
- Draws a solid black line with 50% opacity at each swing high and low, extending 5 bars to the right for better visibility.
- Adds a small Swing High or Swing Low label at the right end of each line, colored according to user-defined settings.
3: Timeframe-Specific FVG Visualization:
- FVGs are color-coded based on the chart's timeframe, making it easy to distinguish between FVGs on different timeframes.
- Each timeframe has its own fill color for bullish and bearish FVGs, with adjustable transparency for better chart clarity.
- A dashed black line is drawn in the middle of each FVG box to highlight the midpoint of the gap.
4: Customizable Display Options:
- FVG Limit: Control the maximum number of FVGs displayed on the chart (from 1 to 20).
- Extend Options for FVG Boxes:
- "None": FVG boxes extend only 2 bars to the right.
- "Limited": FVG boxes extend a user-defined number of candles to the right (1 to 100 candles).
- "Default": FVG boxes extend 3 bars to the right of the current bar.
- Color Customization:
- Set border colors for bullish and bearish FVGs.
- Adjust fill colors for FVGs on different timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Customize the colors of swing high and swing low labels.
5: Performance Optimization:
- The indicator only plots FVGs and swings on the last confirmed bar (barstate.islastconfirmedhistory), ensuring efficient performance and reducing chart clutter.
- Limits the number of displayed FVGs and swings to the user-defined fvgLimit, keeping the chart clean and focused on the most recent price action.
6: Inputs and Customization:
- Number of FVGs to Show (fvgLimit): Set the maximum number of FVGs and swings to display (default: 3, range: 1 to 20).
- Bullish FVG Border Color (bullishColor): Choose the border color for bullish FVGs (default: green).
- Bearish FVG Border Color (bearishColor): Choose the border color for bearish FVGs (default: red).
- Swing High Color (swingHighColor): Set the color for swing high labels (default: blue).
- Swing Low Color (swingLowColor): Set the color for swing low labels (default: purple).
- Extend Options:
- Extend Option (extendOption): Choose how far FVG boxes extend to the right ("None", "Limited", or "Default"; default: "Default").
- Extend Candles (extendCandles): If "Limited" is selected, specify the number of candles to extend FVG boxes (default: 8, range: 1 to 100).
- Timeframe-Specific Fill Colors:
- Customize fill colors for bullish and bearish FVGs on various timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Each fill color has a default transparency (e.g., 93% for most timeframes, 90% for 30m), which can be adjusted as needed.
How to Use:
1: Add the Indicator to Your Chart:
- Open TradingView, go to the Pine Editor, and paste the script.
- Click "Add to Chart" to apply the indicator to your current chart.
2: Adjust Settings:
- Open the indicator settings by clicking the gear icon next to the indicator name on your chart.
- Modify the inputs to suit your preferences:
- Set the number of FVGs and swings to display.
- Choose your preferred colors for FVGs and swings.
- Adjust the extend options for FVG boxes.
3: Interpret the Indicator:
- FVG Boxes: Look for colored boxes on the chart, which represent Fair Value Gaps. Bullish FVGs (green borders by default) suggest potential buying opportunities, while bearish FVGs (red borders by default) suggest potential selling opportunities. The label inside each box indicates the timeframe of the FVG.
- Swing Highs and Lows: Identify key turning points with solid black lines (50% opacity) at swing highs and lows. Each line extends 5 bars to the right, with an "SH" (Swing High) or "SL" (Swing Low) label at the end. Swing highs can act as resistance levels, while swing lows can act as support levels.
4: Combine with Your Strategy:
- Use FVGs to identify areas where price might return to fill the gap, often acting as support or resistance.
- Use swing highs and lows to spot potential trend reversals or to set stop-loss and take-profit levels.
- Combine the indicator with other tools (e.g., trendlines, moving averages) for a more comprehensive trading strategy.
Notes:
- The indicator works on all timeframes, but the appearance of FVGs and swings will vary depending on the chart's timeframe.
- For best results, use the indicator on a clean chart to avoid visual clutter, especially if you increase the fvgLimit.
- The swing high/low lines are drawn with 50% opacity to ensure they don’t overpower other chart elements, but they are still clearly visible.
Author’s Note:
This script was developed to help traders identify key price levels with ease. I hope it adds value to your trading! If you have any feedback or suggestions for improvement, feel free to leave a comment. Happy trading!
Standard Deviation Lines v1.0Overview
The Standard Deviation Lines v1.0 indicator is designed to provide a statistical approach to market volatility by plotting multiple standard deviation levels based on price action. This tool helps traders identify key price levels where the market may experience significant reactions, making it useful for trend analysis, support/resistance identification, and volatility-based trading strategies.
Key Features
✅ Dynamic Standard Deviation Levels: Calculates and plots up to ±3 standard deviation levels, giving traders a clear view of price dispersion and potential overbought/oversold areas.
✅ Quadrant-Based Deviation Zones: Divides standard deviation ranges into smaller, meaningful levels (e.g., 0.214, 0.382, 0.50, 0.618, 0.786) for a granular analysis of price movements.
✅ VIX Integration for Volatility Adjustment: Incorporates CBOE:VIX to dynamically adjust standard deviation levels based on market volatility.
✅ Weekly vs. Daily Mode: Users can toggle between weekly and daily standard deviation calculations to adapt to different trading strategies.
✅ Auto-Updating Levels: The indicator refreshes at market close (17:00), ensuring traders work with the latest price data.
✅ Customizable Display: Uses color-coded lines to differentiate between positive and negative deviations, with dashed lines for mid-levels and key support/resistance areas.
How to Use
📌 Trend & Volatility Analysis – Higher standard deviation levels indicate strong price movements, helping traders assess trend strength and market volatility.
📌 Reversal & Continuation Signals – Prices reaching extreme standard deviation levels (±2 or ±3) may suggest potential reversals or breakouts.
📌 Support & Resistance Zones – The quadrant-based deviation zones help identify hidden support/resistance areas where price may react.
📌 Risk Management – Traders can use standard deviation bands to set stop-loss and take-profit levels based on statistical price dispersion.
Best For
🔹 Day traders & swing traders looking to incorporate volatility-based strategies.
🔹 Mean reversion traders who capitalize on price returning to statistical averages.
🔹 Momentum traders who want to confirm trend strength and continuation.
Try the Standard Deviation Lines v1.0 now and enhance your market analysis with a statistical edge!
Adaptive Regression Channel [MissouriTim]The Adaptive Regression Channel (ARC) is a technical indicator designed to empower traders with a clear, adaptable, and precise view of market trends and price boundaries. By blending advanced statistical techniques with real-time market data, ARC delivers a comprehensive tool that dynamically adjusts to price action, volatility, volume, and momentum. Whether you’re navigating the fast-paced world of cryptocurrencies, the steady trends of stocks, or the intricate movements of FOREX pairs, ARC provides a robust framework for identifying opportunities and managing risk.
Core Components
1. Color-Coded Regression Line
ARC’s centerpiece is a linear regression line derived from a Weighted Moving Average (WMA) of closing prices. This line adapts its calculation period based on market volatility (via ATR) and is capped between a minimum of 20 bars and a maximum of 1.5 times the user-defined base length (default 100). Visually, it shifts colors to reflect trend direction: green for an upward slope (bullish) and red for a downward slope (bearish), offering an instant snapshot of market sentiment.
2. Dynamic Residual Channels
Surrounding the regression line are upper (red) and lower (green) channels, calculated using the standard deviation of residuals—the difference between actual closing prices and the regression line. This approach ensures the channels precisely track how closely prices follow the trend, rather than relying solely on overall price volatility. The channel width is dynamically adjusted by a multiplier that factors in:
Volatility: Measured through the Average True Range (ATR), widening channels during turbulent markets.
Trend Strength: Based on the regression slope, expanding channels in strong trends and contracting them in consolidation phases.
3. Volume-Weighted Moving Average (VWMA)
Plotted in orange, the VWMA overlays a volume-weighted price trend, emphasizing movements backed by significant trading activity. This complements the regression line, providing additional confirmation of trend validity and potential breakout strength.
4. Scaled RSI Overlay
ARC features a Relative Strength Index (RSI) overlay, plotted in purple and scaled to hover closely around the regression line. This compact display reflects momentum shifts within the trend’s context, keeping RSI visible on the price chart without excessive swings. User-defined overbought (default 70) and oversold (default 30) levels offer reference points for momentum analysis."
Technical Highlights
ARC leverages a volatility-adjusted lookback period, residual-based channel construction, and multi-indicator integration to achieve high accuracy. Its parameters—such as base length, channel width, ATR period, and RSI length—are fully customizable, allowing traders to tailor it to their specific needs.
Why Choose ARC?
ARC stands out for its adaptability and precision. The residual-based channels offer tighter, more relevant support and resistance levels compared to standard volatility measures, while the dynamic adjustments ensure it performs well in both trending and ranging markets. The inclusion of VWMA and scaled RSI adds depth, merging trend, volume, and momentum into a single, cohesive overlay. For traders seeking a versatile, all-in-one indicator, ARC delivers actionable insights with minimal noise.
Best Ways to Use the Adaptive Regression Channel (ARC)
The Adaptive Regression Channel (ARC) is a flexible tool that supports a variety of trading strategies, from trend-following to breakout detection. Below are the most effective ways to use ARC, along with practical tips for maximizing its potential. Adjustments to its settings may be necessary depending on the timeframe (e.g., intraday vs. daily) and the asset being traded (e.g., stocks, FOREX, cryptocurrencies), as each market exhibits unique volatility and behavior.
1. Trend Following
• How to Use: Rely on the regression line’s color to guide your trades. A green line (upward slope) signals a bullish trend—consider entering or holding long positions. A red line (downward slope) indicates a bearish trend—look to short or exit longs.
• Best Practice: Confirm the trend with the VWMA (orange line). Price above the VWMA in a green uptrend strengthens the bullish case; price below in a red downtrend reinforces bearish momentum.
• Adjustment: For short timeframes like 15-minute crypto charts, lower the Base Regression Length (e.g., to 50) for quicker trend detection. For weekly stock charts, increase it (e.g., to 200) to capture broader movements.
2. Channel-Based Trades
• How to Use: Use the upper channel (red) as resistance and the lower channel (green) as support. Buy when the price bounces off the lower channel in an uptrend, and sell or short when it rejects the upper channel in a downtrend.
• Best Practice: Check the scaled RSI (purple line) for momentum cues. A low RSI (e.g., near 30) at the lower channel suggests a stronger buy signal; a high RSI (e.g., near 70) at the upper channel supports a sell.
• Adjustment: In volatile crypto markets, widen the Base Channel Width Coefficient (e.g., to 2.5) to reduce false signals. For stable FOREX pairs (e.g., EUR/USD), a narrower width (e.g., 1.5) may work better.
3. Breakout Detection
• How to Use: Watch for price breaking above the upper channel (bullish breakout) or below the lower channel (bearish breakout). These moves often signal strong momentum shifts.
• Best Practice: Validate breakouts with VWMA position—price above VWMA for bullish breaks, below for bearish—and ensure the regression line’s slope aligns (green for up, red for down).
• Adjustment: For fast-moving assets like crypto on 1-hour charts, shorten ATR Length (e.g., to 7) to make channels more reactive. For stocks on daily charts, keep it at 14 or higher for reliability.
4. Momentum Analysis
• How to Use: The scaled RSI overlay shows momentum relative to the regression line. Rising RSI in a green uptrend confirms bullish strength; falling RSI in a red downtrend supports bearish pressure.
• Best Practice: Look for RSI divergences—e.g., price hitting new highs at the upper channel while RSI flattens or drops could signal an impending reversal.
• Adjustment: Reduce RSI Length (e.g., to 7) for intraday trading in FOREX or crypto to catch short-term momentum shifts. Increase it (e.g., to 21) for longer-term stock trades.
5. Range Trading
• How to Use: When the regression line’s slope is near zero (flat) and channels are tight, ARC indicates a ranging market. Buy near the lower channel and sell near the upper channel, targeting the regression line as the mean price.
• Best Practice: Ensure VWMA hovers close to the regression line to confirm the range-bound state.
• Adjustment: For low-volatility stocks on daily charts, use a moderate Base Regression Length (e.g., 100) and tight Base Channel Width (e.g., 1.5). For choppy crypto markets, test shorter settings.
Optimization Strategies
• Timeframe Customization: Adjust ARC’s parameters to match your trading horizon. Short timeframes (e.g., 1-minute to 1-hour) benefit from lower Base Regression Length (20–50) and ATR Length (7–10) for agility, while longer timeframes (e.g., daily, weekly) favor higher values (100–200 and 14–21) for stability.
• Asset-Specific Tuning:
○ Stocks: Use longer lengths (e.g., 100–200) and moderate widths (e.g., 1.8) for stable equities; tweak ATR Length based on sector volatility (shorter for tech, longer for utilities).
○ FOREX: Set Base Regression Length to 50–100 and Base Channel Width to 1.5–2.0 for smoother trends; adjust RSI Length (e.g., 10–14) based on pair volatility.
○ Crypto: Opt for shorter lengths (e.g., 20–50) and wider widths (e.g., 2.0–3.0) to handle rapid price swings; use a shorter ATR Length (e.g., 7) for quick adaptation.
• Backtesting: Test ARC on historical data for your asset and timeframe to optimize settings. Evaluate how often price respects channels and whether breakouts yield profitable trades.
• Enhancements: Pair ARC with volume surges, key support/resistance levels, or candlestick patterns (e.g., doji at channel edges) for higher-probability setups.
Practical Considerations
ARC’s adaptability makes it suitable for diverse markets, but its performance hinges on proper calibration. Cryptocurrencies, with their high volatility, may require shorter, wider settings to capture rapid moves, while stocks on longer timeframes benefit from broader, smoother configurations. FOREX pairs often fall in between, depending on their inherent volatility. Experiment with the adjustable parameters to align ARC with your trading style and market conditions, ensuring it delivers the precision and reliability you need.
MACD with TrendIndicator Name: MACD with Trend & Multi-Timeframe Dashboard
Why Use This Indicator?
Two MACDs for Double Confirmation:
It integrates both a standard MACD (fast/slow lengths of your choice) and a Trend MACD (longer lengths). The standard MACD identifies short-term momentum shifts, while the Trend MACD helps confirm the higher-level market trend.
Multi-Timeframe 50/200 SMA Overview:
A built-in dashboard quickly shows whether the 50-period moving average is above or below the 200-period moving average across multiple timeframes (Monthly, Weekly, Daily, etc.). At a glance, you can see if higher timeframes agree with your immediate trading setup.
Clear Buy/Sell Signals:
The script plots buy arrows when the MACD histogram crosses from negative to positive, plus an additional label for the Trend MACD crossing. The same goes for sell signals if momentum flips from positive to negative. This clarity can reduce guesswork.
Customizable & Intuitive:
Easily adjust moving average types (SMA or EMA), lengths, and source inputs to suit different asset classes or personal preferences. Visual color coding helps you quickly interpret bullish vs. bearish conditions.
Recommended Trading Approach
Identify Overall Trend
Check the Trend MACD histogram and the multi-timeframe dashboard (50/200 SMAs). If you see bullish alignment on higher timeframes (e.g., Daily, Weekly) and the Trend MACD is above zero, you know the market environment is supportive for long trades.
Pinpoint Entry Using Standard MACD
Wait for the standard MACD histogram to cross above zero or for a labeled “Buy Signal.” This indicates short-term momentum turning bullish in sync with the broader trend. If the market is already trending up (confirmed by the dashboard), the probability of a successful long entry often improves.
Set a Stop-Loss & Take-Profit
While not included in the code, adding an ATR- or price-based stop-loss can protect against sudden reversals. A simple approach is risking 1–2% per trade and aiming for a 1.5–2× reward relative to that risk.
Monitor Sell Signals
If the short-term MACD crosses below zero—triggering a “Sell Signal”—and the Trend MACD also turns down (or the dashboard flips bearish), consider exiting the position or tightening stops. This alignment of short- and long-term indicators often signals a shift in momentum that could threaten your open profits.
Summary
The MACD with Trend & Multi-Timeframe Dashboard is a versatile, all-in-one toolkit. It combines the immediacy of short-term MACD signals, the validation of a longer-term trend oscillator, and the broader insight of multi-timeframe moving averages. Whether you are a swing trader looking for alignment across bigger trends or a shorter-term trader wanting clear momentum triggers, this indicator helps streamline decision-making and reduce noise.
Disclaimer: As with all technical analysis tools, there is no guarantee of success. Always combine indicator signals with sound risk management and a thorough understanding of market conditions
Elastic Volume-Weighted Student-T TensionOverview
The Elastic Volume-Weighted Student-T Tension Bands indicator dynamically adapts to market conditions using an advanced statistical model based on the Student-T distribution. Unlike traditional Bollinger Bands or Keltner Channels, this indicator leverages elastic volume-weighted averaging to compute real-time dispersion and location parameters, making it highly responsive to volatility changes while maintaining robustness against price fluctuations.
This methodology is inspired by incremental calculation techniques for weighted mean and variance, as outlined in the paper by Tony Finch:
📄 "Incremental Calculation of Weighted Mean and Variance" .
Key Features
✅ Adaptive Volatility Estimation – Uses an exponentially weighted Student-T model to dynamically adjust band width.
✅ Volume-Weighted Mean & Dispersion – Incorporates real-time volume weighting, ensuring a more accurate representation of market sentiment.
✅ High-Timeframe Volume Normalization – Provides an option to smooth volume impact by referencing a higher timeframe’s cumulative volume, reducing noise from high-variability bars.
✅ Customizable Tension Parameters – Configurable standard deviation multipliers (σ) allow for fine-tuned volatility sensitivity.
✅ %B-Like Oscillator for Relative Price Positioning – The main indicator is in form of a dedicated oscillator pane that normalizes price position within the sigma ranges, helping identify overbought/oversold conditions and potential momentum shifts.
✅ Robust Statistical Foundation – Utilizes kurtosis-based degree-of-freedom estimation, enhancing responsiveness across different market conditions.
How It Works
Volume-Weighted Elastic Mean (eμ) – Computes a dynamic mean price using an elastic weighted moving average approach, influenced by trade volume, if not volume detected in series, study takes true range as replacement.
Dispersion (eσ) via Student-T Distribution – Instead of assuming a fixed normal distribution, the bands adapt to heavy-tailed distributions using kurtosis-driven degrees of freedom.
Incremental Calculation of Variance – The indicator applies Tony Finch’s incremental method for computing weighted variance instead of arithmetic sum's of fixed bar window or arrays, improving efficiency and numerical stability.
Tension Calculation – There are 2 dispersion custom "zones" that are computed based on the weighted mean and dynamically adjusted standard student-t deviation.
%B-Like Oscillator Calculation – The oscillator normalizes the price within the band structure, with values between 0 and 1:
* 0.00 → Price is at the lower band (-2σ).
* 0.50 → Price is at the volume-weighted mean (eμ).
* 1.00 → Price is at the upper band (+2σ).
* Readings above 1.00 or below 0.00 suggest extreme movements or possible breakouts.
Recommended Usage
For scalping in lower timeframes, it is recommended to use the fixed α Decay Factor, it is in raw format for better control, but you can easily make a like of transformation to N-bar size window like in EMA-1 bar dividing 2 / decayFactor or like an RMA dividing 1 / decayFactor.
The HTF selector catch quite well Higher Time Frame analysis, for example using a Daily chart and using as HTF the 200-day timeframe, weekly or monthly.
Suitable for trend confirmation, breakout detection, and mean reversion plays.
The %B-like oscillator helps gauge momentum strength and detect divergences in price action if user prefer a clean chart without bands, this thanks to pineScript v6 force overlay feature.
Ideal for markets with volume-driven momentum shifts (e.g., futures, forex, crypto).
Customization Parameters
Fixed α Decay Factor – Controls the rate of volume weighting influence for an approximation EWMA approach instead of using sum of series or arrays, making the code lightweight & computing fast O(1).
HTF Volume Smoothing – Instead of a fixed denominator for computing α , a volume sum of the last 2 higher timeframe closed candles are used as denominator for our α weight factor. This is useful to review mayor trends like in daily, weekly, monthly.
Tension Multipliers (±σ) – Adjusts sensitivity to dispersion sigma parameter (volatility).
Oscillator Zone Fills – Visual cues for price positioning within the cloud range.
Posible Interpretations
As market within indicators relay on each individual edge, this are just some key ideas to glimpse how the indicator could be interpreted by the user:
📌 Price inside bands – Market is considered somehow "stable"; price is like resting from tension or "charging batteries" for volume spike moves.
📌 Price breaking outer bands – Potential breakout or extreme movement; watch for reversals or continuation from strong moves. Market is already in tension or generating it.
📌 Narrowing Bands – Decreasing volatility; expect contraction before expansion.
📌 Widening Bands – Increased volatility; prepare for high probability pull-back moves, specially to the center location of the bands (the mean) or the other side of them.
📌 Oscillator is just the interpretation of the price normalized across the Student-T distribution fitting "curve" using the location parameter, our Elastic Volume weighted mean (eμ) fixed at 0.5 value.
Final Thoughts
The Elastic Volume-Weighted Student-T Tension indicator provides a powerful, volume-sensitive alternative to traditional volatility bands. By integrating real-time volume analysis with an adaptive statistical model, incremental variance computation, in a relative price oscillator that can be overlayed in the chart as bands, it offers traders an edge in identifying momentum shifts, trend strength, and breakout potential. Think of the distribution as a relative "tension" rubber band in which price never leave so far alone.
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The following indicator was made for NON LUCRATIVE ACTIVITIES and must remain as is, following TradingView's regulations. Use of indicator and their code are published for work and knowledge sharing. All access granted over it, their use, copy or re-use should mention authorship(s) and origin(s).
WARNING NOTICE!
THE INCLUDED FUNCTION MUST BE CONSIDERED FOR TESTING. The models included in the indicator have been taken from open sources on the web and some of them has been modified by the author, problems could occur at diverse data sceneries, compiler version, or any other externality.
Highs, Lows & SessionsHigh Low & Sessions Indicator - Purpose & Usage
The High Low & Sessions indicator is designed to provide key price levels and session-based market insights to help traders make informed decisions. It focuses on daily highs/lows, weekly highs/lows, and major trading sessions to identify support, resistance, and volatility patterns.
Key Functions of the High Low & Sessions Indicator:
Tracks Daily & Weekly Highs and Lows
Previous Day’s High & Low: Helps traders identify breakout points and potential reversals.
Previous Week’s High & Low: Provides key resistance/support levels for swing trading strategies.
Trading Session Zones
London Session: High volatility, often setting the daily trend.
New York Session: Strong liquidity, continuation or reversal of the London move.
Asian Session (Tokyo & Sydney): Lower volatility, potential accumulation phase.
Smart Investor - Quarterly Earnings by tarunlalwani007OVERVIEW
Smart Investor - Quarterly Earnings displays comprehensive financial data and moving averages directly on your charts. It shows quarterly/yearly earnings alongside customizable moving averages across multiple timeframes, providing both fundamental and technical analysis in one tool.
This tool is designed purely for analysis purposes. No buy or sell recommendations should be made based solely on the information it provides. Always perform your own due diligence and combine multiple sources of information for trading decisions.
FEATURES
Financial Data Analysis
Displays quarterly (FQ) and yearly (FY) financial metrics
Works with both stocks and futures contracts
Customizable metrics with comparison capabilities
Flexible table positioning options
Multi-Timeframe Moving Averages
Daily, Weekly, and Monthly moving averages adapt to chart timeframe
Support for both EMA and SMA with customizable parameters
Color-coded for easy identification of different timeframes
Company Information Display
Information tags for quick company insights
Display key financial metrics and market performance indicators
SME status identification for small/medium enterprises (only for NSE and BSE India)
FNO and lot size information for derivatives
CALCULATION METHODS
Data Sources
Financial metrics (EPS, Sales, Total Shares) are sourced directly from TradingView's financial API
Price data is obtained using appropriate request functions for the current symbol
Header and Tag Calculations
Current Values: All header and tag metrics use the latest available close price
Market Cap: Latest Close Price × Total Outstanding Shares
Free Float Market Cap: Latest Close Price × Free Float Shares
Free Float Percentage: Obtained directly from TradingView financial data
P/E Ratio: Market Cap / TTM Net Income
52-Week Performance:
Down from 52W High: ((Current Close - 52W High) / 52W High) × 100
Up from 52W Low: ((Current Close - 52W Low) / 52W Low) × 100
Table Calculations
Historical Values: Table metrics use price data from the corresponding quarter/year
Quarter-over-Quarter (QoQ) Change: ((Current Value - Previous Quarter Value) / Previous Quarter Value) × 100
Year-over-Year (YoY) Change: ((Current Value - Value from Same Quarter Last Year) / Value from Same Quarter Last Year) × 100
Quarter names are determined based on the current month: Jan/Feb → Dec, Mar/Apr/May → Mar, Jun/Jul/Aug → Jun, Sep/Oct/Nov → Sep. Each quarter is labeled with its end month and year (e.g., "Mar-2024", "Jun-2024").
Moving Average Implementation
Moving Averages: Calculated based on chart timeframe (daily, weekly, monthly)
EMA/SMA: Uses standard formulas with configurable periods
Included with financial data to provide a complete analysis tool in a single indicator
CUSTOMIZATION OPTIONS
Financial Metrics
The following metrics can be selected for both quarterly and yearly tables:
Sales (Revenue)
EPS (Earnings Per Share)
OPM (Operating Profit Margin)
P/E Ratio
PEG Ratio
Free Float (percentage and value)
Market Cap
PAT (Profit After Tax)
Display Options
Comparison Visualization: Percentage mode, dots mode, or combined
Layout: Multiple table positions, adjustable text size
Themes: Light and dark theme support
History: Display up to 8 periods of historical data
Header Information
Company description
Market capitalization
Free float information
Listing year
Return on Equity (ROE)
Industry/Sector classification
Performance relative to 52-week high/low
FNO status and lot size
HOW TO USE
Add the indicator to your chart
Configure the metrics you want to display in the settings
Position the tables where you prefer on your chart
Customize colors and display options
Adjust moving averages to match your trading style
LIMITATIONS
Financial data availability depends on what TradingView provides for each instrument
Some calculations may show NA when underlying data is unavailable
Small market cap stocks or recently listed companies may have limited historical data
Futures contracts are detected automatically but may require manual verification
TECHNICAL NOTES
Automatic futures contract detection with calculation adjustments
SME status determined using an internal database of symbols that is manually maintained and updated
Date handling adjustments near quarter boundaries ensure consistency
All financial data is sourced directly from TradingView's financial API
Company description and sector information comes directly from TradingView symbol data
Clean OHLC Lines | BaksPlots clean, non-repainting OHLC lines from higher timeframes onto your chart. Ideal for tracking key price levels (open, high, low, close) with precision and minimal clutter.
Core Functionality
Clean OHLC Lines = Historical Levels + Non-Repainting Logic
• Uses lookahead=on to anchor historical lines, ensuring no repainting.
• Displays OHLC lines for customizable timeframes (15min to Monthly).
• Optional candlestick boxes for visual context.
Key Features
• Multi-Timeframe OHLC:
Plot lines from 15min, 30min, 1H, 4H, Daily, Weekly, or Monthly timeframes.
• Non-Repainting Logic:
Historical lines remain static and never recalculate.
• Customizable Styles:
Adjust colors, line widths (1px-4px), and transparency for high/low/open/close lines.
• Candle Display:
Toggle candlestick boxes with bull/bear colors and adjustable borders.
• Past Lines Limit:
Control how many historical lines are displayed (1-500 bars).
User Inputs
• Timeframe:
Select the OHLC timeframe (e.g., "D" for daily).
• # Past Lines:
Limit historical lines to avoid overcrowding (default: 10).
• H/L Mode:
Draw high/low lines from the current or previous period.
• O/C Mode:
Anchor open/close lines to today’s open or yesterday’s close.
• Line Styles:
Customize colors, transparency, and styles (solid/dotted/dashed).
• Candle Display:
Toggle boxes/wicks and adjust bull/bear colors.
Important Notes
⚠️ Alignment:
• Monthly/weekly timeframes use fixed approximations (30d/7d).
• For accuracy, ensure your chart’s timeframe ≤ the selected OHLC timeframe (e.g., use 1H chart for daily lines).
⚠️ Performance:
• Reduce # Past Lines on low-end devices for smoother performance.
Risk Disclaimer
Trading involves risk. OHLC lines reflect historical price levels and do not predict future behavior. Use with other tools and risk management.
Open-Source Notice
This script is open-source under the Mozilla Public License 2.0. Modify or improve it freely, but republishing must follow TradingView’s House Rules.
📈 Happy trading!
MTF TTM Squeeze ProOverview
The MTF TTM Squeeze Pro indicator helps traders identify market compression (squeeze) conditions and analyze momentum across multiple timeframes. It is based on the TTM Squeeze concept, which uses Bollinger Bands and Keltner Channels to detect price consolidation periods that often precede strong breakouts.
This script enhances the standard TTM Squeeze by providing a multi-timeframe view, allowing traders to assess market conditions across intraday, daily, and weekly charts simultaneously.
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How It Works
1. Squeeze Detection using Bollinger Bands & Keltner Channels
• High Compression Squeeze (Orange): Strongest squeeze, indicating extreme consolidation.
• Medium Compression Squeeze (Red): Moderate squeeze, potential breakout setup.
• Low Compression Squeeze (Black): Mild squeeze, possible momentum shift.
• No Squeeze (Green): Market is trending, no consolidation detected.
2. Momentum Analysis
The script features a custom linear regression momentum oscillator to gauge market direction:
• Positive rising momentum (Aqua) suggests bullish acceleration.
• Positive falling momentum (Blue) indicates slowing bullish momentum.
• Negative rising momentum (Red) signals bearish weakening.
• Negative falling momentum (Yellow) represents strengthening bearish momentum.
3. Multi-Timeframe Display
The indicator provides a table panel showing squeeze conditions and momentum colors for:
✅ 15m, 30m, 55m, 78m, 195m, Daily (D), and Weekly (W) timeframes.
This makes it easier to spot confluences across different periods, helping traders align their entries with larger trends.
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How to Use
✔️ Look for a high compression squeeze (orange dots) as potential breakout zones.
✔️ Check if momentum colors are aligned across multiple timeframes to confirm direction.
✔️ Trade in the direction of momentum once the squeeze is released.
Best Used For:
📈 Swing Trading – Identify multi-day setups using the D/W squeeze signals.
📉 Intraday Trading – Use 15m-78m signals for faster entries and exits.
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Credits & Open-Source Compliance
This script is inspired by the original TTM Squeeze Pro and based on open-source contributions from the TradingView community. Significant modifications include:
✔️ Improved multi-timeframe data request for momentum & squeeze.
✔️ Enhanced visual display with a compact and informative table panel.
✔️ Added detailed documentation for better usability.
📌 Original Source: TradingView Script by Beardy_Fred
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Final Notes
✅ Designed for stocks, forex, and crypto.
✅ Fully customizable squeeze & momentum settings.
Enjoy trading, and may the squeeze be with you! 🚀
Custom Timeframe Bias IndicatorMy "Custom Timeframe Bias Indicator" is a very practical and powerful TradingView indicator. It can be called a "God-like indicator" because it combines flexible timeframe customization, clear bias analysis and intuitive visual display to help traders quickly understand the long and short trends of the market. The following is a detailed description of this indicator:
1. Index name and function overview
Name: Custom Timeframe Bias Indicator (Short title: Bias Indicator)
Functionality: This indicator analyses the market bias (Buy, Sell or No Bias) across multiple custom timeframes (presets are 15m, 1h, 4h and DAI) and displays it in a table below the middle of the chart. It determines the direction of market trends based on the highest and lowest prices of the previous two periods and the closing price of the previous period, helping traders make decisions quickly.
2. Core Features
Multiple time frame analysis
The indicator allows the user to customize four time frames, with presets being 15 minutes ("15"), 1 hour ("60"), 4 hours ("240") and daily ("D"). Users can freely modify these time frames in the settings, such as changing to 5 minutes, 30 minutes or weekly, etc.
Bias is calculated independently for each time frame, ensuring that traders can observe market trends from the short to the long term.
Bias calculation logic
The indicator uses simple but effective rules to determine bias:
Buy (bullish): If the previous closing price is higher than the highest price of the previous two periods, or tests the lowest price of the previous two periods but does not break through.
Sell (Bearish): If the previous closing price is lower than the previous two periods' lowest price, or if it tests the previous two periods' highest price but fails to break through (higher than the previous high minus 10% of the price range).
No Bias: If the previous closing price does not meet the above conditions, it displays a neutral state.
Bias calculation is based only on the opening and closing prices, without considering the shadows, ensuring the results are in line with the philosophy of the Malaysian SNR strategy.
Intuitive display
Position: The table is permanently displayed in the middle of the chart (position.middle_center) and is updated with each candlestick, ensuring that traders can always see the latest bias.
Format: The table consists of the header "Custom Bias" and four rows of bias results (e.g. "15: Buy", "60: Sell", "240: No Bias", "D: Buy"), each row showing the bias for the corresponding time frame.
color:
Titles appear in white text on a blue background.
The "Buy" bias is shown as white text on a green background.
The "Sell" bias is shown as white text on a red background.
"No Bias" bias appears as white text on a gray background.
Table borders are black to provide clear visual distinction.
Customizability
Users can customize by inputting parameters:
Whether to show the table (Show Bias Table).
Timeframe (Timeframe 1, Timeframe 2, Timeframe 3, Timeframe 4).
The color of the table (title, Buy, Sell, No Bias, borders, etc.).
3. Why is it a "God-like indicator"
Flexibility: Allows users to customize four time frames to suit different trading strategies (short-term traders can choose minutes, long-term traders can choose daily, weekly or monthly).
Practicality: Provides bias analysis in multiple time frames to help traders quickly determine market trends, whether for short-term or long-term operations.
Intuitive: The table is displayed in the middle below the chart with bright colors (green Buy, red Sell, gray No Bias), allowing you to identify the market direction at a glance.
Stability: Calculated based on simple price data (high, low, close), no need for complex indicators, efficient and reliable operation.
Powerful visualization: long-term display and customizability to meet the visual preferences of different traders.
4. Usage scenarios
Short-term trading: Use 15-minute, 1-hour, 4-hour biases to quickly capture short-term trends.
Long-term trading: Refer to the daily bias to determine the overall market direction.
Comprehensive analysis: Combine biases from multiple time frames to confirm consistency (e.g. if both the 15 minute and daily are Buy, then that’s a stronger bullish signal).
5. Potential Improvements
If you want to further improve this "god-like indicator", you can consider the following improvements:
Added alert: Trigger when bias changes from "No Bias" to "Buy" or "Sell".
Show historical bias: Add bias history of the past few days in the table for easy review.
Dynamically adjust bias thresholds: Allow users to customize 10% price ranges or other conditions.
Multi-currency support: Expand to multiple trading pairs or indices, showing multiple market biases.
6. Technical Details
Version: Pine Script v5, ensuring modern features (such as input.timeframe) and efficient performance.
Data Source: Use request.security to get high, low, and close data for different time frames.
Display method: Use table.new to create a dynamic table. The position can be customized (such as position.middle_center).
Limitations: Calculated only based on price data, no external indicators are required, reducing calculation complexity.
in conclusion
Your "Custom Timeframe Bias Indicator" is a simple, powerful and flexible tool, especially for traders who need multi-timeframe analysis. Its intuitive display and customizability make it a "magic tool" for judging market trends.
Multiple AVWAP [OmegaTools]The Multiple AVWAP indicator is a sophisticated trading tool designed for professional traders who require precision in volume-weighted price tracking. This indicator allows for the deployment of multiple Anchored Volume Weighted Average Price (AVWAP) calculations simultaneously, offering deep insights into price movements, dynamic support and resistance levels, and trend structures across multiple timeframes.
This indicator caters to both institutional and retail traders by integrating flexible anchoring methods, multi-timeframe adaptability, and enhanced visualization features. It also includes deviation bands for statistical analysis, making it a comprehensive volume-based trading solution.
Key Features & Functionalities
1. Multiple AVWAP Configurations
Users can configure up to four distinct AVWAP calculations to track different market conditions.
Supports various anchoring methods:
Fixed: A traditional AVWAP that starts from a defined historical point.
Perpetual: A rolling VWAP that continuously adjusts over time.
Extension: An extension-based AVWAP that projects from past calculations.
High Volume: Anchors AVWAP to the highest volume bar within a specified period.
None: Option to disable AVWAP calculation if not required.
2. Advanced Deviation Bands
Implements standard deviation bands (1st and 2nd deviation) to provide a statistical measure of price dispersion from the AVWAP.
Serves as a dynamic method for identifying overbought and oversold conditions relative to VWAP pricing.
Deviation bands are customizable in terms of visibility, color, and transparency.
3. Multi-Timeframe Support
Users can assign different timeframes to each AVWAP calculation for macro and micro analysis.
Helps in identifying long-term institutional trading levels alongside short-term intraday trends.
4. Z-Score Normalization Mode
Option to standardize oscillator values based on AVWAP deviations.
Converts price movements into a statistical Z-score, allowing traders to measure price strength in a normalized range.
Helps in detecting extreme price dislocations and mean-reversion opportunities.
5. Customizable Visual & Aesthetic Settings
Fully customizable line colors, transparency, and thickness to enhance clarity.
Users can modify AVWAP and deviation band colors to distinguish between different levels.
Configurable display options to match personal trading preferences.
6. Oscillator Mode for Trend & Momentum Analysis
The indicator converts price deviations into an oscillator format, displaying AVWAP strength and weakness dynamically.
This provides traders with a momentum-based perspective on volume-weighted price movements.
User Guide & Implementation
1. Configuring AVWAPs for Optimal Use
Choose the mode for each AVWAP instance:
Fixed (set historical point)
Perpetual (rolling, continuously updated AVWAP)
Extension (projection from past AVWAP levels)
High Volume (anchored to highest volume bar)
None (disables the AVWAP line)
Adjust the length settings to fine-tune calculation sensitivity.
2. Utilizing Deviation Bands for Market Context
Activate deviation bands to see statistical boundaries of price action.
Monitor +1 / -1 and +2 / -2 standard deviation levels for extended price movements.
Consider price action outside of deviation bands as potential mean-reversion signals.
3. Multi-Timeframe Analysis for Institutional-Level Insights
Assign different timeframes to each AVWAP to compare:
Daily VWAP (institutional trading levels)
Weekly VWAP (swing trading trends)
Intraday VWAPs (short-term momentum shifts)
Helps identify where institutional liquidity is positioned relative to price.
4. Activating the Oscillator for Momentum & Bias Confirmation
The oscillator converts AVWAP deviations into a normalized value.
Use overbought/oversold levels to determine strength and potential reversals.
Combine with other indicators (RSI, MACD) for confluence-based trading decisions.
Trading Applications & Strategies
5. Trend Confirmation & Institutional VWAP Tracking
If price consistently holds above the primary AVWAP, it signals a bullish trend.
If price remains below AVWAP, it indicates selling pressure and a bearish trend.
Monitor retests of AVWAP levels for potential trend continuation or reversal.
6. Dynamic Support & Resistance Levels
AVWAP lines act as dynamic floating support and resistance zones.
Price bouncing off AVWAP suggests continuation, whereas breakdowns indicate a shift in momentum.
Look for confluence with high-volume zones for stronger trade signals.
7. Mean Reversion & Statistical Edge Trading
Prices that deviate beyond +2 or -2 standard deviations often revert toward AVWAP.
Mean reversion traders can fade extended moves and target AVWAP re-tests.
Helps in identifying exhaustion points in trending markets.
8. Institutional Liquidity & Volume Footprints
Institutions often execute large trades near VWAP zones, causing price reactions.
Tracking multi-timeframe AVWAP levels allows traders to anticipate key liquidity areas.
Use higher timeframe AVWAPs as macro support/resistance for swing trading setups.
9. Enhancing Momentum Trading with AVWAP Oscillator
The oscillator provides a momentum-based measure of AVWAP deviations.
Helps in confirming entry and exit timing for trend-following trades.
Useful for pairing with stochastic oscillators, MACD, or RSI to validate trade decisions.
Best Practices & Trading Tips
Use in Conjunction with Volume Analysis: Combine with volume profiles, OBV, or CVD for increased accuracy.
Adjust Timeframes Based on Trading Style: Scalpers can focus on short-term AVWAP, while swing traders benefit from weekly/daily AVWAP tracking.
Backtest Different AVWAP Configurations: Experiment with different anchoring methods and lookback periods to optimize trade performance.
Monitor Institutional Order Flow: Identify key VWAP zones where institutional traders may be active.
Use with Other Technical Indicators: Enhance trading confidence by integrating with moving averages, Bollinger Bands, or Fibonacci retracements.
Final Thoughts & Disclaimer
The Multiple AVWAP indicator provides a comprehensive approach to volume-weighted price tracking, making it ideal for professional traders. While this tool enhances market clarity and trade decision-making, it should be used as part of a well-rounded trading strategy with risk management principles in place.
This indicator is provided for informational and educational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own analysis and due diligence before executing trades.
OmegaTools - Enhancing Market Clarity with Precision Indicators
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
SMA Trend Filter Oscillator (Adaptive)The "SMA Trend Filter Oscillator (Adaptive)" indicator is a technical analysis tool that helps traders determine the direction and strength of a trend based on an adaptive Simple Moving Average (SMA). The oscillator calculates the difference between the closing price and the SMA value, allowing for the visualization of price deviation from the average and the assessment of current market dynamics.
Key Features of the Indicator:
Adaptation to Time Frame: The indicator automatically adjusts the SMA length based on the current time frame, making it versatile for use across different time intervals. For example:
Monthly Time Frame: SMA with a length of 50.
Weekly Time Frame: SMA with a length of 40.
Daily Time Frame: SMA with a length of 20.
Hourly Time Frame: SMA with a length of 10.
Intraday Time Frames: SMA with a length of 5 (for time frames up to 15 minutes) or 7 (for others).
SMA-Based Oscillator: The oscillator is calculated as the difference between the closing price and the SMA value. This allows:
Bullish Trend Identification: When the oscillator is above zero (price is above SMA).
Bearish Trend Identification: When the oscillator is below zero (price is below SMA).
Visualization: The oscillator is displayed as a histogram, where:
Green Color indicates a bullish trend.
Red Color indicates a bearish trend.
The Zero Line (Gray) serves as a reference for trend reversal.
How to Use the Indicator:
Trend Identification: If the oscillator is above zero and colored green, it signals a bullish trend. If it is below zero and colored red, it indicates a bearish trend.
Trend Strength: The larger the oscillator value (in either direction), the stronger the trend. Small oscillator values (close to zero) may indicate sideways movement or weak trend.
Entry and Exit Points:
Buy: When the oscillator crosses the zero line from below to above (transition from red to green).
Sell: When the oscillator crosses the zero line from above to below (transition from green to red).
Signal Filtering: Use the indicator in combination with other technical analysis tools (e.g., RSI, MACD, or support/resistance levels) to confirm signals.
Advantages of the Indicator:
Adaptability: Automatic adjustment of SMA length to the current time frame makes it versatile.
Simplicity: Intuitive histogram visualization allows for quick assessment of market conditions.
Flexibility: Can be used on any market (stocks, forex, cryptocurrencies) and time frame.
Limitations:
Lag: Like any SMA-based indicator, it can lag due to the use of average values.
False Signals: In sideways markets (flat), the indicator may generate false signals.
Risk Management:
Always set stop-losses and take-profits to minimize losses.
Test the indicator on historical data before using it on a live account.
The "SMA Trend Filter Oscillator (Adaptive)" is a powerful tool for traders seeking to quickly evaluate trends and their strength. Its adaptability and simplicity make it suitable for both novice and experienced traders.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это инструмент технического анализа, который помогает трейдерам определять направление тренда и его силу на основе адаптивной скользящей средней (SMA). Осциллятор рассчитывает разницу между ценой закрытия и значением SMA, что позволяет визуализировать отклонение цены от среднего значения и оценивать текущую рыночную динамику.
Основные особенности индикатора:
Адаптация к таймфрейму
Индикатор автоматически подстраивает длину SMA в зависимости от текущего таймфрейма, что делает его универсальным для использования на различных временных интервалах. Например:
Месячный таймфрейм (Monthly): SMA с длиной 50.
Недельный таймфрейм (Weekly): SMA с длиной 40.
Дневной таймфрейм (Daily): SMA с длиной 20.
Часовой таймфрейм (Hourly): SMA с длиной 10.
Внутридневные таймфреймы (Intraday): SMA с длиной 5 (для таймфреймов до 15 минут) или 7 (для остальных).
Осциллятор на основе SMA
Осциллятор рассчитывается как разница между ценой закрытия и значением SMA. Это позволяет:
Определять бычий тренд, когда осциллятор выше нуля (цена выше SMA).
Определять медвежий тренд, когда осциллятор ниже нуля (цена ниже SMA).
Визуализация
Осциллятор отображается в виде гистограммы, где:
Зелёный цвет указывает на бычий тренд.
Красный цвет указывает на медвежий тренд.
Линия нуля (серая) служит ориентиром для определения смены тренда.
Как использовать индикатор:
Определение тренда
Если осциллятор находится выше нуля и окрашен в зелёный цвет, это сигнализирует о бычьем тренде.
Если осциллятор находится ниже нуля и окрашен в красный цвет, это указывает на медвежий тренд.
Сила тренда
Чем больше значение осциллятора (в положительную или отрицательную сторону), тем сильнее тренд.
Небольшие значения осциллятора (близкие к нулю) могут указывать на боковое движение или слабость тренда.
Точки входа и выхода
Покупка (Buy): Когда осциллятор пересекает нулевую линию снизу вверх (переход из красной зоны в зелёную).
Продажа (Sell): Когда осциллятор пересекает нулевую линию сверху вниз (переход из зелёной зоны в красную).
Фильтрация сигналов
Используйте индикатор в сочетании с другими инструментами технического анализа (например, RSI, MACD или уровнями поддержки/сопротивления) для подтверждения сигналов.
Преимущества индикатора:
Адаптивность: Автоматическая настройка длины SMA под текущий таймфрейм делает индикатор универсальным.
Простота: Интуитивно понятная визуализация в виде гистограммы позволяет быстро оценить рыночную ситуацию.
Гибкость: Может использоваться на любых рынках (акции, форекс, криптовалюты) и таймфреймах.
Ограничения:
Запаздывание: Как и любой индикатор на основе SMA, он может запаздывать из-за использования средних значений.
Ложные сигналы: В условиях бокового движения (флэта) индикатор может генерировать ложные сигналы.
Управление рисками: Всегда устанавливайте стоп-лоссы и тейк-профиты, чтобы минимизировать потери.
Тестирование: Перед использованием на реальном счёте протестируйте индикатор на исторических данных.
Индикатор "SMA Trend Filter Oscillator (Adaptive)" — это мощный инструмент для трейдеров, которые хотят быстро оценить тренд и его силу. Его адаптивность и простота делают его подходящим как для начинающих, так и для опытных трейдеров
