Optimal Buy Day (Zeiierman)█ Overview
The Optimal Buy Day (Zeiierman) indicator identifies optimal buying days based on historical price data, starting from a user-defined year. It simulates investing a fixed initial capital and making regular monthly contributions. The unique aspect of this indicator involves comparing systematic investment on specific days of the month against a randomized buying day each month, aiming to analyze which method might yield more shares or a better average price over time. By visualizing the potential outcomes of systematic versus randomized buying, traders can better understand the impact of market timing and how regular investments might accumulate over time.
These statistics are pivotal for traders and investors using the script to analyze historical performance and strategize future investments. By understanding which days offered more shares for their money or lower average prices, investors can tailor their buying strategies to potentially enhance returns.
█ Key Statistics
⚪ Shares
Definition: Represents the total number of shares acquired on a particular day of the month across the entire simulation period.
How It Works: The script calculates how many shares can be bought each day, given the available capital or monthly contribution. This calculation takes into account the day's opening price and accumulates the total shares bought on that day over the simulation period.
Interpretation: A higher number of shares indicates that the day consistently offered better buying opportunities, allowing the investor to acquire more shares for the same amount of money. This metric is crucial for understanding which days historically provided more value.
⚪ AVG Price
Definition: The average price paid per share on a particular day of the month, averaged over the simulation period.
How It Works: Each time shares are bought, the script calculates the average price per share, factoring in the new shares purchased at the current price. This average evolves over time as more shares are bought at varying prices.
Interpretation: The average price gives insight into the cost efficiency of buying shares on specific days. A lower average price suggests that buying on that day has historically led to better pricing, making it a potentially more attractive investment strategy.
⚪ Buys
Definition: The total number of transactions or buys executed on a particular day of the month throughout the simulation.
How It Works: This metric increments each time shares are bought on a specific day, providing a count of all buying actions taken.
Interpretation: The number of buys indicates the frequency of investment opportunities. A higher count could mean more consistent opportunities for investment, but it's important to consider this in conjunction with the average price and the total shares acquired to assess overall strategy effectiveness.
⚪ Most Shares
Definition: Identifies the day of the month on which the highest number of shares were bought, highlighting the specific day and the total shares acquired.
How It Works: After simulating purchases across all days of the month, the script identifies which day resulted in the highest total number of shares bought.
Interpretation: This metric points out the most opportune day for volume buying. It suggests that historically, this day provided conditions that allowed for maximizing the quantity of shares purchased, potentially due to lower prices or other factors.
⚪ Best Price
Definition: Highlights the day of the month that offered the lowest average price per share, indicating both the day and the price.
How It Works: The script calculates the average price per share for each day and identifies the day with the lowest average.
Interpretation: This metric is key for investors looking to minimize costs. The best price day suggests that historically, buying on this day led to acquiring shares at a more favorable average price, potentially maximizing long-term investment returns.
⚪ Randomized Shares
Definition: This metric represents the total number of shares acquired on a randomly selected day of the month, simulated across the entire period.
How It Works: At the beginning of each month within the simulation, the script selects a random day when the market is open and calculates how many shares can be purchased with the available capital or monthly contribution at that day's opening price. This process is repeated each month, and the total number of shares acquired through these random purchases is tallied.
Interpretation: Randomized shares offer a comparison point to systematic buying strategies. By comparing the total shares acquired through random selection against those bought on the best or worst days, investors can gauge the impact of timing and market fluctuations on their investment strategy. A higher total in randomized shares might indicate that over the long term, the specific days chosen for investment might matter less than consistent market participation. Conversely, if systematic strategies yield significantly more shares, it suggests that timing could indeed play a crucial role in maximizing investment returns.
⚪ Randomized Price
Definition: The average price paid per share for the shares acquired on the randomly selected days throughout the simulation period.
How It Works: Each time shares are bought on a randomly chosen day, the script calculates the average price paid for all shares bought through this randomized strategy. This average price is updated as the simulation progresses, reflecting the cost efficiency of random buying decisions.
Interpretation: The randomized price metric helps investors understand the cost implications of a non-systematic, random investment approach. Comparing this average price to those achieved through more deliberate, systematic strategies can reveal whether consistent investment timing strategies outperform random investment actions in terms of cost efficiency. A lower randomized price suggests that random buying might not necessarily result in higher costs, while a higher average price indicates that systematic strategies might provide better control over investment costs.
█ How to Use
Traders can use this tool to analyze historical data and simulate different investment strategies. By inputting their initial capital, regular contribution amount, and start year, they can visually assess which days might have been more advantageous for buying, based on historical price actions. This can inform future investment decisions, especially for those employing dollar-cost averaging strategies or looking to optimize entry points.
█ Settings
StartYear: This setting allows the user to specify the starting year for the investment simulation. Changing this value will either extend or shorten the period over which the simulation is run. If a user increases the value, the simulation begins later and covers a shorter historical period; decreasing the value starts the simulation earlier, encompassing a longer time frame.
Capital: Determines the initial amount of capital with which the simulation begins. Increasing this value simulates starting with more capital, which can affect the number of shares that can be initially bought. Decreasing this value simulates starting with less capital.
Contribution: Sets the monthly financial contribution added to the investment within the simulation. A higher contribution increases the investment each month and could lead to more shares being purchased over time. Lowering the contribution decreases the monthly investment amount.
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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!
在脚本中搜索"price action"
Dodge Trend [MyTradingCoder]Introducing the "Dodge Trend" indicator, an innovative variant of the Supertrend indicator designed to help traders better avoid fakeouts and maintain positions in established trends.
Like the Supertrend, the Dodge Trend uses Average True Range (ATR) but incorporates a unique adaptive adjustment feature that differentiates it from its counterparts. While the conventional Supertrend rises with the trend and only descends when the price crosses it, the Dodge Trend is designed to 'dodge' potential fakeouts.
This 'dodging' mechanism works by allowing the Dodge Trend to fall slightly during pullbacks, reducing the risk of a premature exit due to a temporary price drop. The recovery rate after the pullback is quicker but is slightly lower than the rate at which a new Dodge Trend high would be established in an uptrend. This unique adjustment feature allows the Dodge Trend to chase price action in an exponential fashion, potentially enabling a quicker exit when the trend shifts.
Key Settings:
Length: Adjust how much price action is taken into consideration for the ATR average. Lower values yield higher responsiveness to recent price action.
Size: Determines the initial deviation of the Dodge Trend when it resets after every flip/break.
Source: Specifies the data point (close, high, open, low, hl2, etc.) used for the Dodge Trend.
Dodge Intensity: Adjusts the intensity of the pullback effect. Higher values result in more intense pullbacks. Range is limited between 0 and 99, with 95 as the recommended default.
Bullish Color Setting: Sets the color for the uptrend Dodge Trend.
Bearish Color Setting: Sets the color for the downtrend Dodge Trend.
Dodge Trend is a powerful tool for traders looking to ride trends and avoid unnecessary exits due to short-term price fluctuations. While it offers a unique feature that may potentially improve trading outcomes, it should be used in conjunction with other indicators and analysis methods for a comprehensive trading strategy. As with all tools, it does not guarantee profitable trades but aims to give traders more actionable and precise information to base their decisions on.
Experience trend-following in a more adaptive and efficient manner with the Dodge Trend indicator, a tool designed to help you 'dodge' false exits and stay in line with the overall trend.
The $trat | by Octopu$1️⃣2️⃣3️⃣ The $trat | by Octopu$
The $trat: The Strat by Octopu$
Absolute Solution for The Strat Traders!
The Strat is a Strategy created by Rob Smith's and is well known by being an innovative trading system.
Continues to grow in popularity as more traders discover this method.
It is a simplified way to understand Price Action. It is based on three principles: Types of candles, 1, 2, and 3.
Other things to be known about The Strat are Actionable Signals and Time Frame Continuity.
The $trat has it all.
This Indicator includes Bar Types (1, 2 and 3) also known as Inside Bars, Twos (Up or Down) and Outside Bars.
It is also well crafted with a built-in Time Frame Continuity (TFC) which shows Price Movement at a glimpse.
On top of that, in the best of both worlds, also comes with information about the Bars Status for other TFs as well.
It means that you can know how another TF of you preference is performing. Right there.
Works in Any Time Frame.
On Any Ticker.
(Using SPY 5m just as an example:)
www.tradingview.com
SPY
Features:
• Candle Types (1, 2 and 3) IB, 2U & 2D and OB.
• Time Frame Continuity (TFC) for Price Movement/Trend Check
• Bar Status shortcut. So you can know Price Action/Direction fast.
• Reversal indicators for Action-taking and Situational Awareness
• Combos Labels. So nothing ever goes unnoticed.
Options:
• Absolutely fully Customizable: Colors, Sizes, Numbers. Everything.
• On/Off Switches for most of the Information and Optionable Selections
• Hammer/Shooter Indicator automatically inserted to Chart
• Candle/Bars Coloring for ease of reading.
• Highlight options for specific setups
Notes:
v1.0
$trat Indicator release
Changes and updates can come in the future for additional functionalities or per requests.
Did you like it? Boost it. Shoot a message! I'd appreciate if you dropped by to say thanks.
- Octopu$
🐙
KryptOkib Supply and Demand with AlertsAs the name suggests, this is a supply and demand indicator script with alerts that i have made based on sole price actions. I have used 3 different methods of identifying supply and demand zones and tested to make sure they work. Nonetheless some zones will fail as no strategy is 100% and some zone will fail due to other reasons.
How this works:
As a basic rule, demand and supply zones can easily be identified from the base of a drop to a rally or vice versa and the base of a rally to a new rally, hence rally base rally, drop base rally for demand zones and rally base drop and drop base drop for supply zones.
While that is true, i basically search for areas where demand/bulls overpower supply/bears and vice versa with a strong move away. So not all the base are a consideration in this script unless we see a clear sign of bulls overpowering bears, or say demand overpowering supply and bears overpowering bulls or say supply overpowering demand. Several rules has been put in place to identify and filter this out so you may have a Rally Base Drop get ignored by this indicator as it do not meet my requirement.
Once this pattern is detected by the script using either of the 3 price action methods, and then a breakout of the basing candles occurs, the indicator paints the candlestick that broke out of the range/base with a different color, which is blue for demand breakout candle, and orange for a supply breakdown candle as circled on the chart.
The algorithm makes sure that this breakout candles follow strict rules set by mean of which 1 is a very bullishly closing breakout candle for demand or a very bearishly closing candle for a supply, with a follow through candle which is the next trading period /candle.
it is strongly recommended that you wait for the close of the next candlestick before attempting to take the demand/supply zone formed as there are further calculations done on the follow through breakout candle to make sure the demand/supply is a good one, the candle might be painted before the close of the next candle but after the close, the paint will be removed due to the fact that the zone no longer meets strict criteria as defined by me.
It is also suggested that you use the alert function that comes with script and wait for the alert to come through before taking the demand if you cannot wait for the second breakout candle to close as the alert will be fired only on close of the second follow through breakout candle.
One of the strict rules is wanting to see strong bullish/bearish presence apart from the way the breakout candle closes, there are many rules to filter out ugly zones, even though some good zones get caught up in this as well.
Identification of Zones:
Demand Zone: the previous candle open or high(based on personal preference) will be the proximal, where you start to draw your demand zone and the low of the basing/ranging candles or swing low will be the distal, where you end your demand zone as seen on the chart. Stop loss goes under this.
Supply Zone: The previous candle open or low will be the proximal, where the supply zone starts and the high of the range/basing candles or swing will be the distal where the supply zone ends as seen on the chart. Stop loss goes above this
Note that some zones with a-lot of basing candles tend to fail, while some tend to work, i have not algorithmically filtered this as i prefer to examine with eyes the zones alerted to me and take the ones with lesser basing candles.
Generally, Rally Base Rally and Drop Base Drop zones are mostly weaker than the other type of zones but sometimes works perfectly.
How to use Alert Function:
- Go on the ticker you will like to set alert for
- Go on the timeframe you wish to be alerted for
- Right Click on the chart and select Add Alert or Alt + A (keyboard combination)
- Under Condition, click the arrow down and select "KryptOkib SAND"
- Under Options, select "Once Per Bar Close"
- Set Expiration and Alert Actions as you prefer.
- Click on "Create" Button
That is it.
You can repeat this process for all other tickers you wish to have alerts for and you will be notified once price movement has met the conditions outlined in the script.
This is an invite only indicator, to request access to it, kindly do the following:
- Add indicator to favorite
- Make Sure you follow me
- Send me a PM requesting access.
Once this is done and PM received, access will be granted.
Further updates will come along once there are changes to be made or new calculations to add.
Works on any market of choice.
[astropark] Cumulative Volume Delta (CVD)Dear Followers,
today another awesome Analysis Tool, that you can use in your trading journey: Cumulative Volume Delta (CVD) , also known as Cumulative Delta Volume (CDV)!
Volume says a lot about price action:
price drops with low volume? or price pumps but no volume increase?
big sellers volume but price does not drop? or big buyers volume but price does not increase?
The Cumulative Volume Delta measures the effectiveness of buyers and sellers' actions, so basically if the volume they generate with their buy and sell market orders is effective on price or not.
When it's not effective, a divergence appears and we, as traders, can profit from it.
Here some examples how you can use the indicator by spotting divergences between price and cumulative volume delta.
EURUSD, 15m
sellers trying hard to make price fall, but volume is lacking on CVD (exhaustion): bullish divergence
EURUSD, 15m
buyers trying hard to make price go up, but volume is lacking on CVD (exhaustion): many bearish divergences
SPX500, 15m
buyers exhaustion: bearish divergence
XAUUSD, 15m
sellers exhaustion: bullish divergences
XAGUSD, 15m
buyers exhaustion: bearish divergence
BTCUSD, 15m
buyers exhaustion: bearish divergence (in red)
buyers absorbed sellers' pressure: hidden bullish divergence (in green)
BTCUSD, 15m
inefficiency by buyers: higher and higher buy volume but it's not effective on price (sellers absorbed): hidden bearish divergence (in blue)
sellers exhaustion: bullish divergences (in green)
buyers exhaustion: bearish divergence (in red)
ETHBTC, 15m
buyers exhaustion: bearish divergence (in red)
inefficiency by sellers: higher and higher sell volume but it's not effective on price (buyers absorbed): hidden bullish divergence (in blue)
TSLA, 15m
inefficiency by sellers, sellers pressure absorbed by buyers: hidden bullish divergence (in blue)
buyers exhaustion: bearish divergence (in red)
sellers exhaustion: bullish divergence (in green)
inefficiency by buyers, sellers pressure absorbed by sellers: hidden bearish divergence (in fuchsia)
This indicator works on every timeframe, market and pair, by the way must be said that it works best on 15m and 5m timeframes, as you can have access to a more detailed volume information.
As I always say, all tools are great if you use them correctly: this is not the "Holy Grail", so always use proper money and risk management strategies.
This is a premium indicator , so send me a private message in order to get access to this script.
Effort vs Result TRFxThe Effort vs Result (EVR) indicator is designed to identify high-probability reversal signals based on volume and price action dynamics. It highlights points where the market “effort” (high volume) does not correspond to an immediate “result” (price continuation), providing actionable trade setups for both bullish and bearish scenarios.
Features:
Detects bullish EVR signals when a previous high-volume sell candle is followed by a strong bullish candle that sweeps the previous low.
Detects bearish EVR signals when a previous high-volume buy candle is followed by a strong bearish candle that sweeps the previous high.
Sticky arrows plot automatically above or below the candle, ensuring the signal moves with the price bar.
Considers inside bars, wick size, and relative volume to filter low-quality setups.
Fully compatible with multiple timeframes.
Inputs:
Volume Multiplier: Sets how much higher the current candle’s volume should be compared to the previous candle to count as high volume.
Min Wick % of Candle: Minimum wick size relative to the candle body to filter insignificant bars.
Max Inside Bars to Ignore: Number of inside bars between the previous candle and the EVR candle to ignore minor consolidations.
Usage:
(Green Arrow): Enter long when a green arrow appears below the candle. Place stop-loss slightly below the previous swing low.
(Red Arrow): Enter short when a red arrow appears above the candle. Place stop-loss slightly above the previous swing high.
Can be combined with support/resistance levels, trendlines, or other technical indicators for higher accuracy.
Benefits:
Simple and clean visual signals with tiny arrows that move with candles.
Helps traders identify high-probability reversal points based on volume and price action.
Ideal for intraday and swing trading strategies.
3CRGANG - SUPPLY/DEMAND ZONESOverview
The "3CRGANG - SUPPLY/DEMAND ZONES" indicator is a sophisticated tool designed to identify, classify, and visualize dynamic supply (resistance) and demand (support) zones on your TradingView charts. It goes beyond basic level plotting by incorporating a state-based system that tracks how zones evolve based on price interactions, helping traders anticipate potential reversals, continuations, or breakdowns at key levels. Zones are categorized into states like Untested, Verified, Weak, Flipped, and Broken, providing contextual insights into their strength and reliability. This indicator is particularly useful for swing traders, scalpers, and position traders who rely on price action around institutional levels, as it filters noise and highlights actionable zones with customizable alerts and visual aids.
Built on Pine Script v6, it overlays directly on your chart with semi-transparent boxes for zones, optional labels for quick reference, and alert triggers for zone tests. The invite-only access ensures users benefit from its proprietary enhancements, making it a premium alternative to generic zone indicators.
How It's Built: Core Concepts and Calculations
At its foundation, the indicator detects potential supply and demand zones using a fractal-based pivot detection method, which identifies local highs and lows by comparing a central bar's price to surrounding bars within a validation window. This window is dynamically adjusted via a "Fractal Sensitivity Factor" (default 6.0), which scales the lookback period relative to your chart's timeframe—ensuring zones adapt to market volatility without over- or under-fitting. For example, on a 15-minute chart, this might equate to checking 18-24 bars around a candidate pivot for confirmation.
Once a fractal pivot is confirmed:
Zone Boundaries: The zone is constructed around the pivot high/low, extended by a fraction of the Average True Range (ATR, period 7) using the "Zone Boundary ATR Multiplier" (default 0.3). This creates a band that accounts for typical price fluctuations, preventing overly tight or loose zones. A subtle "Zone Fuzz Factor" (default 0.15) adds a minor buffer to the ATR-derived extension, allowing for fine-tuning in choppy markets without altering the core range.
Merging Overlaps: To avoid clutter, overlapping zones of the same type (or flipped counterparts) are intelligently merged through up to 2-3 passes (configurable via "Max Merge Passes"). This consolidation increases the "test count" for the resulting zone, reflecting cumulative price rejections and enhancing its perceived strength.
Zone Testing and Classification: Price interactions with zones are evaluated using one of two methods:
Dynamic - Bars: Counts tests when price wicks into the zone from outside or closes out after entering, with a minimum gap (0-2 bars) to prevent rapid-fire counts in ranging markets.
Mechanical - Pivots: Enhances the dynamic method by requiring a mechanical pivot (e.g., via TradingView's built-in pivothigh/pivotlow) within the zone during the test, adding a layer of confirmation for more conservative signals. Tests are tallied with a "Weak Zone Test Threshold" (default 1), classifying zones as:
Untested: No interactions yet—fresh levels with high potential.
Weak: 1 or fewer meaningful tests—early signals that may fade.
Verified: Multiple tests (above threshold)—strong, repeatedly respected levels.
Flipped: A broken zone that reverses role (e.g., resistance becomes support), based on a decisive close beyond the boundary.
Broken: Permanently invalidated by a strong breakout, optionally displayed for historical context.
Time and Session Integration: Zones are timestamped and limited to a "Back Limit" (default 500 bars) for performance. It incorporates a custom holiday library (importing from RotemB's LIBRARY_3CRGANG_Holidays_Library) to detect closures across major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE), adjusting session times for half-days and full holidays. Alerts are filtered by user-selected sessions, weekends, and a "Do Not Disturb" (DND) mode with timezone-aware scheduling (e.g., UTC+3 Jerusalem default, selectable from 90+ global options).
This combination of fractal detection, ATR-based sizing, multi-pass merging, and test-driven state evolution draws from classic supply/demand principles but refines them with proprietary logic to handle real-world market dynamics, such as volatility clustering and institutional session biases.
Why It’s Useful
Supply and demand zones are foundational to price action trading, representing areas where large orders accumulate and cause reversals or pauses. This indicator streamlines the process by automating zone discovery and maintenance, saving time compared to manual drawing. Its state system adds predictive value: Verified zones often signal high-probability bounces, while Flipped ones highlight role reversals for trend continuation trades. Alerts notify you of tests in real-time, ideal for multi-chart monitoring, and session/holiday filters reduce false signals during low-liquidity periods (e.g., no alerts on Christmas for NYSE-linked assets).
Traders benefit from reduced emotional bias—zones "age out" beyond the back limit, focusing on recent action—and customizable visuals prevent chart overload. In volatile markets like forex or crypto, the ATR-adjusted boundaries adapt better than fixed-percentage methods, while the test count helps gauge exhaustion (e.g., over-tested Weak zones may signal impending breaks). Overall, it enhances decision-making by providing not just levels, but their evolving context.
How to Use It
Add to Chart:
Search for "3CRGANG - SUPPLY/DEMAND ZONES" in TradingView's invite-only scripts (access required). Apply to any timeframe from 1-minute to yearly, though it shines on intraday (15M-4H) for active trading.
Configure Inputs:
Test Mode: Choose "Dynamic - Bars" for sensitive, wick-focused testing or "Mechanical - Pivots" for stricter, pivot-confirmed interactions. Adjust "Minimum Test Gap" (0-2) to filter rapid tests and "Weak Zone Test Threshold" (1-3) to define strength tiers.
Pivot Filters: Tune "Fractal Sensitivity Factor" (5-14) for fewer/more zones—higher values for smoother trends, lower for chop.
Zone Width: Set "Zone Boundary ATR Multiplier" (0-1) for tighter/wider bands; use "Zone Fuzz Factor" (0-1) sparingly for boundary tweaks.
Visual: Select zone style (Solid/Dashed/Dotted), linewidth (1-3), and horizontal extension (None/Right/Both). Toggle visibility per state (e.g., hide Broken for cleaner charts).
Labels: Enable "Show Labels" for state/type info; add "Show Zone Size" (in pips/$) and "Show Test Count" for details. Adjust shift for positioning.
Alerts: Enable per state (Untested/Weak/Verified/Flipped). Filter by sessions (e.g., enable NYSE for US equities), holidays, weekends, and DND (set time ranges in your timezone to mute notifications).
Colors: Customize per state/type for intuitive visuals (e.g., red shades for resistance).
Trading Application:
Entries: Buy at Verified Demand (green) tests, sell at Verified Supply (red). Use Flipped zones for breakout confirmation.
Exits/Risk: Place stops beyond zone boundaries; trail profits on Weak/Flipped signals indicating fading strength.
Alerts Setup: In TradingView's alert dialog, select this indicator and configure for "alert() function calls only" to receive zone-test notifications.
Multi-Timeframe: View higher-TF zones on lower charts for confluence (e.g., daily zones on 1H).
Best Practices: Combine with volume or oscillators; backtest on your asset to optimize sensitivity.
Chart Example: XAG/USD (m5 timeframe)
Chart Notes
The chart displays zones on XAGUSD (M5 timeframe), presenting a clear price action structure with three distinct zones. A green Verified Support zone, marked with a translucent green box, indicates a robust demand level that has been tested multiple times and held firm. A blue Weak Support zone, outlined with a lighter blue box, reflects a less-tested support level with fewer rejections, suggesting lower reliability. A gold Flipped Resistance zone, highlighted with a golden box, initially acted as a resistance with rejections before breaking through and retesting as a support zone, showcasing its transition. Labels appear to the right of each zone, displaying details such as "VERIFIED SUPPORT (6.72 points, T=3)" for the Verified zone, "WEAK SUPPORT (6.9 points, T=1)" for the Weak zone, and "FLIPPED SUPPORT (3.85 points, T=10)" for the Flipped zone, with sizes in dollars (or pips if under $1) and test counts included. Zones extend horizontally to the right based on the user-defined shift setting, with customizable dashed or dotted borders for enhanced visual clarity.
Requires 500 bars of history for optimal performance. Alerts are muted during holidays (e.g., Lunar New Year) or Do Not Disturb periods.
Settings
Test Mode: Choose method (Dynamic - Bars or Mechanical - Pivots), set minimum test gap (0-2 bars), and weak zone threshold (1-3 tests).
General: Adjust back limit (250-1000 bars).
Pivot Filters: Set fractal sensitivity factor (5-14) and max merge passes (1-3).
Zone Width: Define ATR multiplier (0-1) and fuzz factor (0-1).
Visual: Select zone style (Solid, Dashed, Dotted), line width (1-3), shift end right (1-50 bars), and extension (None, Right, Both).
Visibility: Toggle display for each state (Untested, Verified, Weak, Flipped, Broken).
Labels: Enable labels, set shift (1-50 bars), size, and show size/test counts.
Alerts: Enable alerts by state (Untested, Weak, Verified, Flipped).
DND Settings: Set timezone, Do Not Disturb hours, and weekend alerts.
Sessions Alerts: Filter alerts by exchange (NYSE, LSE, etc.) and holiday settings.
Colors: Assign colors to each zone state and type.
Why It's Unique and Worth Invite-Only Access
While supply/demand indicators exist, this one stands out through its integrated ecosystem: adaptive fractal pivots with sensitivity scaling, multi-pass overlap merging that preserves test history, and a nuanced state machine that evolves zones based on configurable test mechanics—far beyond simple high/low plotting or basic breakouts. The proprietary blending of ATR fuzzing, retroactive test validation during zone creation, and global exchange holiday/session filtering (with half-day adjustments) minimizes irrelevant alerts, a common pain point in public scripts. It doesn't rely solely on built-ins or educational code; instead, it enhances them with custom logic for zone lifecycle management, making it resilient across assets and timeframes.
This originality justifies its closed-source nature—revealing the full interplay of fractal windowing, merge algorithms, and alert conditioning could dilute its edge. As an invite-only script, it provides clear value through premium features like timezone-aware DND, comprehensive holiday integration (e.g., Lunar New Year for HKSE), and state-aware alerts, which aren't replicated in free alternatives. Traders seeking an efficient, low-noise tool for institutional-level analysis will find it worth the access, as it delivers actionable insights that generic indicators overlook.
Disclaimer
This indicator assists in zone identification but does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Third Eye ORB Pro (0915-0930 IST, no-plot)Third Eye ORB Pro (Opening Range Breakout + Range Mode)
This indicator is designed specifically for Indian stocks and indices (NIFTY, BANKNIFTY, FINNIFTY, MIDCAP, etc.) to track the Opening Range (09:15–09:30 IST) and generate actionable intraday trade signals. It combines two key modes — Range Mode (mean reversion inside the opening range) and Breakout Mode (momentum trading beyond the range).
1. Opening Range Framework (09:15–09:30 IST)
The indicator automatically plots the Opening Range High (ORH) and Opening Range Low (ORL) after the first 15 minutes of market open.
The area between ORH and ORL acts as the intraday battlefield where most price action occurs (historically ~70–80% of the day is spent inside this zone).
A shaded box and horizontal lines mark this range, serving as a visual reference for support and resistance throughout the day.
2. Range Mode (Mean Reversion Inside OR)
When price trades inside the Opening Range, the indicator looks for edge rejections to capture range-bound trades.
Range BUY (RB): Triggered near ORL when a bullish rejection candle forms (strong body + long lower wick).
Range SELL (RS): Triggered near ORH when a bearish rejection candle forms (strong body + long upper wick).
Optional filters (toggleable in settings):
RSI Filter: Only allow range buys if RSI is oversold (≤45) and range sells if RSI is overbought (≥55).
VWAP Filter: Only allow range trades if price is not too far from VWAP (distance ≤ X% of OR size).
Labels show suggested Stop Loss (just outside the OR band) and Target (midline/VWAP).
Cooldown logic prevents consecutive whipsaw signals.
3. Breakout Mode (Directional Moves Beyond OR)
When price closes strongly outside the ORH/ORL with momentum, the indicator confirms a breakout/breakdown trade.
Buffers are applied to avoid false breakouts:
ATR Buffer: Price must extend at least ATR × multiplier beyond the range edge.
% Buffer: Price must extend at least a percentage of OR size (default 10%).
Confirmation Filters:
Candle must have a strong body (≥60% of total bar range).
Optional “two closes” rule: price must close outside the range for 2 consecutive candles.
BUY BO: Trigger when price closes above ORH + buffer with momentum.
SELL BD: Trigger when price closes below ORL – buffer with momentum.
Labels and alerts are plotted for quick action.
4. Practical Usage
Works best on 5-minute charts for intraday trading.
Designed to help traders capture both:
Range-bound moves during the day (mean reversion plays).
Strong directional breakouts when institutions push price beyond the opening range.
Particularly effective on expiry days, trending sessions, and major news days when breakouts are more likely.
On sideways days, Range Mode provides reliable scalp opportunities at the OR edges.
5. Features
Auto-plots Opening Range High, Low, Midline.
Box + line visuals (no repainting).
Buy/Sell labels for both Range Mode and Breakout Mode.
Customizable buffers (ATR, % of range) to suit volatility.
Alerts for all signals (breakouts and range plays).
Built with risk management in mind (suggested SL and TP shown on chart).
Market Outlook Score (MOS)Overview
The "Market Outlook Score (MOS)" is a custom technical indicator designed for TradingView, written in Pine Script version 6. It provides a quantitative assessment of market conditions by aggregating multiple factors, including trend strength across different timeframes, directional movement (via ADX), momentum (via RSI changes), volume dynamics, and volatility stability (via ATR). The MOS is calculated as a weighted score that ranges typically between -1 and +1 (though it can exceed these bounds in extreme conditions), where positive values suggest bullish (long) opportunities, negative values indicate bearish (short) setups, and values near zero imply neutral or indecisive markets.
This indicator is particularly useful for traders seeking a holistic "outlook" score to gauge potential entry points or market bias. It overlays on a separate pane (non-overlay mode) and visualizes the score through horizontal threshold lines and dynamic labels showing the numeric MOS value along with a simple trading decision ("Long", "Short", or "Neutral"). The script avoids using the plot function for compatibility reasons (e.g., potential TradingView bugs) and instead relies on hline for static lines and label.new for per-bar annotations.
Key features:
Multi-Timeframe Analysis: Incorporates slope data from 5-minute, 15-minute, and 30-minute charts to capture short-term trends.
Trend and Strength Integration: Uses ADX to weight trend bias, ensuring stronger signals in trending markets.
Momentum and Volume: Includes RSI momentum impulses and volume deviations for added confirmation.
Volatility Adjustment: Factors in ATR changes to assess market stability.
Customizable Inputs: Allows users to tweak periods for lookback, ADX, and ATR.
Decision Labels: Automatically classifies the MOS into actionable categories with visual labels.
This indicator is best suited for intraday or swing trading on volatile assets like stocks, forex, or cryptocurrencies. It does not generate buy/sell signals directly but can be combined with other tools (e.g., moving averages or oscillators) for comprehensive strategies.
Inputs
The script provides three user-configurable inputs via TradingView's input panel:
Lookback Period (lookback):
Type: Integer
Default: 20
Range: Minimum 10, Maximum 50
Purpose: Defines the number of bars used in slope calculations for trend analysis. A shorter lookback makes the indicator more sensitive to recent price action, while a longer one smooths out noise for longer-term trends.
ADX Period (adxPeriod):
Type: Integer
Default: 14
Range: Minimum 5, Maximum 30
Purpose: Sets the smoothing period for the Average Directional Index (ADX) and its components (DI+ and DI-). Standard value is 14, but shorter periods increase responsiveness, and longer ones reduce false signals.
ATR Period (atrPeriod):
Type: Integer
Default: 14
Range: Minimum 5, Maximum 30
Purpose: Determines the period for the Average True Range (ATR) calculation, which measures volatility. Adjust this to match your trading timeframe—shorter for scalping, longer for positional trading.
These inputs allow customization without editing the code, making the indicator adaptable to different market conditions or user preferences.
Core Calculations
The MOS is computed through a series of steps, blending trend, momentum, volume, and volatility metrics. Here's a breakdown:
Multi-Timeframe Slopes:
The script fetches data from higher timeframes (5m, 15m, 30m) using request.security.
Slope calculation: For each timeframe, it computes the linear regression slope of price over the lookback period using the formula:
textslope = correlation(close, bar_index, lookback) * stdev(close, lookback) / stdev(bar_index, lookback)
This measures the rate of price change, where positive slopes indicate uptrends and negative slopes indicate downtrends.
Variables: slope5m, slope15m, slope30m.
ATR (Average True Range):
Calculated using ta.atr(atrPeriod).
Represents average volatility over the specified period. Used later to derive volatility stability.
ADX (Average Directional Index):
A detailed, manual implementation (not using built-in ta.adx for customization):
Computes upward movement (upMove = high - high ) and downward movement (downMove = low - low).
Derives +DM (Plus Directional Movement) and -DM (Minus Directional Movement) by filtering non-relevant moves.
Smooths true range (trur = ta.rma(ta.tr(true), adxPeriod)).
Calculates +DI and -DI: plusDI = 100 * ta.rma(plusDM, adxPeriod) / trur, similarly for minusDI.
DX: dx = 100 * abs(plusDI - minusDI) / max(plusDI + minusDI, 0.0001).
ADX: adx = ta.rma(dx, adxPeriod).
ADX values above 25 typically indicate strong trends; here, it's normalized (divided by 50) to influence the trend bias.
Volume Delta (5m Timeframe):
Fetches 5m volume: volume_5m = request.security(syminfo.tickerid, "5", volume, lookahead=barmerge.lookahead_on).
Computes a 12-period SMA of volume: avgVolume = ta.sma(volume_5m, 12).
Delta: (volume_5m - avgVolume) / avgVolume (or 0 if avgVolume is zero).
This measures relative volume spikes, where positive deltas suggest increased interest (bullish) and negative suggest waning activity (bearish).
MOS Components and Final Calculation:
Trend Bias: Average of the three slopes, normalized by close price and scaled by 100, then weighted by ADX influence: (slope5m + slope15m + slope30m) / 3 / close * 100 * (adx / 50).
Emphasizes trends in strong ADX conditions.
Momentum Impulse: Change in 5m RSI(14) over 1 bar, divided by 50: ta.change(request.security(syminfo.tickerid, "5", ta.rsi(close, 14), lookahead=barmerge.lookahead_on), 1) / 50.
Captures short-term momentum shifts.
Volatility Clarity: 1 - ta.change(atr, 1) / max(atr, 0.0001).
Measures ATR stability; values near 1 indicate low volatility changes (clearer trends), while lower values suggest erratic markets.
MOS Formula: Weighted average:
textmos = (0.35 * trendBias + 0.25 * momentumImpulse + 0.2 * volumeDelta + 0.2 * volatilityClarity)
Weights prioritize trend (35%) and momentum (25%), with volume and volatility at 20% each. These can be adjusted in code for experimentation.
Trading Decision:
A variable mosDecision starts as "Neutral".
If mos > 0.15, set to "Long".
If mos < -0.15, set to "Short".
Thresholds (0.15 and -0.15) are hardcoded but can be modified.
Visualization and Outputs
Threshold Lines (using hline):
Long Threshold: Horizontal dashed green line at +0.15.
Short Threshold: Horizontal dashed red line at -0.15.
Neutral Line: Horizontal dashed gray line at 0.
These provide visual reference points for MOS interpretation.
Dynamic Labels (using label.new):
Placed at each bar's index and MOS value.
Text: Formatted MOS value (e.g., "0.2345") followed by a newline and the decision (e.g., "Long").
Style: Downward-pointing label with gray background and white text for readability.
This replaces a traditional plot line, showing exact values and decisions per bar without cluttering the chart.
The indicator appears in a separate pane below the main price chart, making it easy to monitor alongside price action.
Usage Instructions
Adding to TradingView:
Copy the script into TradingView's Pine Script editor.
Save and add to your chart via the "Indicators" menu.
Select a symbol and timeframe (e.g., 1-minute for intraday).
Interpretation:
Long Signal: MOS > 0.15 – Consider bullish positions if supported by other indicators.
Short Signal: MOS < -0.15 – Potential bearish setups.
Neutral: Between -0.15 and 0.15 – Avoid trades or wait for confirmation.
Watch for MOS crossings of thresholds for momentum shifts.
Combine with price patterns, support/resistance, or volume for better accuracy.
Limitations and Considerations:
Lookahead Bias: Uses barmerge.lookahead_on for multi-timeframe data, which may introduce minor forward-looking bias in backtesting (use with caution).
No Alerts Built-In: Add custom alerts via TradingView's alert system based on MOS conditions.
Performance: Tested for compatibility; may require adjustments for illiquid assets or extreme volatility.
Backtesting: Use TradingView's strategy tester to evaluate historical performance, but remember past results don't guarantee future outcomes.
Customization: Edit weights in the MOS formula or thresholds to fit your strategy.
This indicator distills complex market data into a single score, aiding decision-making while encouraging users to verify signals with additional analysis. If you need modifications, such as restoring plot functionality or adding features, provide details for further refinement.
Adaptive Correlation Engine (ACE)🧠 Adaptive Correlation Engine (ACE)
Quantify inter-asset relationships with adaptive lag detection and actionable insights.
📌 What is ACE?
The Adaptive Correlation Engine (ACE) is a precision tool for seeking to uncover meaningful relationships between two assets — not just raw correlation, but also lag dynamics, leader detection, and alignment vs. divergence classification.
Unlike static correlation tools, ACE intelligently scans multiple lag windows to find:
✅ The maximum correlation between the base asset and a comparison symbol
⏱️ The optimal lag (if any) at which the correlation is strongest
🧭 Whether the assets are Aligned (positive correlation) or Divergent (inverse)
🔁 Which symbol is leading, and by how many bars
📈 Actionable signal strength based on a user-defined correlation threshold
⚙️ How It Works
Correlation Scan:
For each bar, ACE checks the correlation between the charted asset (close) and a lagged version of the comparison asset across a sliding window of lookback periods.
Lag Optimization:
The engine searches from lag 0 up to your specified Max Lag to find where the correlation (positive or negative) is most significant.
Relationship Classification:
The indicator classifies the relationship as:
Aligned: Positive correlation above the threshold
Divergent: Negative correlation above the threshold
Synchronous: No lag detected
Low Signal: Correlation is weak or noisy
Visual & Tabular Insights:
ACE plots the highest detected correlation on the chart and shows an insight table displaying:
- Correlation value
- Detected lag
- Direction type (aligned/divergent)
- Leading asset
- Suggested action (e.g., “Likely continuation” or “Possible mean reversion”)
💡 How to Use It
Use ACE to identify leadership patterns between assets (e.g., ETH leads altcoins, SPX leads crypto, etc.)
Spot potential lagging trade setups where one asset’s move may soon echo in another
Confirm or challenge correlation-based trading assumptions with data
Combine with technical indicators or price action to time entries and exits more confidently
🔔 Alerts
Built-in alerts notify you when correlation strength crosses your actionable threshold, classified by alignment or divergence.
🛠️ Inputs
Compare Symbol: The asset to compare against (e.g., INDEX:ETHUSD)
Correlation Lookback: Rolling window for calculating correlation
Max Lag Bars: Maximum lag shift to test
Minimum Actionable Correlation: Signal threshold for trade-worthy insights
⚠️ Disclaimer
This tool is for research and informational purposes only. It does not constitute financial advice or a trading signal. Always perform your own due diligence and consult a financial advisor before making investment decisions.
IB with Range PercentageThis Pine Script indicator for TradingView combines several powerful technical analysis tools to give traders a comprehensive view of market action:
Inside Bar Detection: Identifies the classic inside bar candlestick pattern.
Moving Averages: Provides multiple moving averages to help determine trend and potential support/resistance levels.
Information Table: Displays key market data in a concise table format.
1. Inside Bar Detection and Range
The indicator marks inside bars on the chart. An inside bar is a candlestick where its entire range (high and low) falls within the range of the preceding candlestick (often called the "mother bar"). This pattern often signifies market consolidation or indecision.
Customizable Marking: Users can choose the shape and color used to mark the inside bars, such as triangles, squares, or circles.
Range Percentage: A label shows the range of the inside bar as a percentage of the previous bar's low, providing a quantitative measure of its size.
Time Restriction: A setting allows displaying inside bars only for a specified number of past days, focusing analysis on recent price action.
Customizable Label Size: Users can choose the size of the range percentage label for optimal visibility.
2. Moving Averages for Trend Analysis
The indicator can plot up to four moving averages (MAs) on the chart. Moving averages smooth out price data to help identify trends and potential support and resistance levels.
User-Selectable MA Type: For each MA, traders can choose between Simple Moving Average (SMA) or Exponential Moving Average (EMA).
Customizable Length: Users can specify the length (number of periods) for each MA, such as 20, 50, 100, or 200.
Customizable Color: Each MA's line color can be chosen to suit personal preferences.
Trend Identification: When the price is above an MA, it suggests an uptrend, while prices below suggest a downtrend. The slope of the MA also indicates trend momentum.
3. Information Table for Key Data
A customizable information table is displayed on the chart, providing a quick overview of important market data.
Average Daily Range (ADR) Percentage: Shows the average daily range of the asset as a percentage, reflecting its historical volatility.
Distance from EMAs: Displays how far the current price is from the 10, 20, and 50 period Exponential Moving Averages. A positive percentage indicates the price is above the MA, while a negative percentage means it's below.
Customizable Table Elements: Users can choose the table's background color, text color, and text size for optimal readability.
How to Use This Indicator:
This indicator can be a valuable tool for traders using technical analysis:
Inside Bar Breakouts: Inside bars often precede breakouts. Traders can use the inside bar markings and range percentage to identify potential breakout opportunities.
Confirmation of Trends: Moving averages help confirm the direction of the trend, enabling traders to align their inside bar strategies with the prevailing market direction.
Support and Resistance: Moving averages can act as dynamic support and resistance levels. Traders can look for inside bars forming near these levels as potential entry or exit points.
Volatility and Range Analysis: The ADR percentage helps assess the normal daily range of an asset, which can be useful for setting realistic price targets and managing risk.
Risk Management: The distance from EMAs can alert traders to potential overextended moves, providing information for setting stop-loss or take-profit levels.
By combining these elements, this indicator provides a layered approach to market analysis, allowing traders to identify potential trading opportunities and manage risk effectively based on both candlestick patterns and trend-following indicators. Remember that no indicator guarantees success, and it's essential to use this tool in conjunction with other analysis techniques and proper risk management practices.
NQ Climax Signals - Chart OverlayThis specialized overlay indicator identifies extreme volume exhaustion points (climaxes) in NQ1! (Nasdaq 100 E-mini futures) that often signal major market reversals. By analyzing volume spikes relative to historical patterns, it helps traders spot potential turning points before they become obvious to the broader market.
Key Features
🎯 Climax Detection Technology
Selling Climax: Extreme red candle volume indicating selling exhaustion (potential reversal UP)
Buying Climax: Extreme green candle volume indicating buying exhaustion (potential reversal DOWN)
Volume Ratio Analysis: Compares current volume to 30-day historical averages
Dynamic Thresholds: Adjustable sensitivity for different market conditions
📍 Precision Signal Placement
Chart Overlay: Signals appear directly on price bars where they occur
Fixed Positioning: Signals remain stable regardless of chart scaling or zoom level
Clear Visual Hierarchy: Purple for selling climax, blue for buying climax
Dual Display Options: Text labels or clean diamond shapes
⚡ Real-Time Analysis
Live Calculations: Updates with each new candle
30-Day Lookback: Analyzes recent volume patterns for context
Smart Filtering: Only triggers on true volume extremes
Background Highlighting: Subtle chart tinting during climax events
Trading Applications
🔄 Reversal Trading
Selling Climax at Support: High probability bounce setup
Buying Climax at Resistance: High probability rejection setup
Counter-trend Entries: Fade extreme moves with volume confirmation
Risk Management: Clear invalidation levels based on climax bars
📊 Market Structure Analysis
Volume Exhaustion Points: Identify where trends may pause or reverse
Institutional Activity: Spot large player capitulation or distribution
Market Sentiment Extremes: Recognize panic selling or euphoric buying
Confirmation Tool: Validate other technical analysis signals
How Volume Climaxes Work
🔴 Selling Climax (Purple Signals)
Definition: Extremely high volume on red candles
Psychology: Panic selling, forced liquidation, capitulation
Opportunity: Often marks short-term or intermediate bottoms
Action: Consider long positions with proper risk management
🔵 Buying Climax (Blue Signals)
Definition: Extremely high volume on green candles
Psychology: FOMO buying, euphoria, exhaustion buying
Opportunity: Often marks short-term or intermediate tops
Action: Consider short positions with proper risk management
Technical Specifications
📈 Algorithm Details
Volume Multiplier: Default 2.5x average (customizable 2.0-5.0x)
Ratio Threshold: Default 1.5 for trend confirmation
Lookback Period: 30 days (customizable 1-250 days)
Update Frequency: Real-time with each tick
🎛️ Customization Options
Show/Hide Labels: Toggle between text and diamond displays
Sensitivity Adjustment: Fine-tune trigger thresholds
Background Effects: Optional chart highlighting
Alert System: Comprehensive notification setup
Best Practices
✅ Optimal Usage
Combine with Support/Resistance: Climaxes near key levels are most reliable
Confirm with Price Action: Look for reversal candlestick patterns
Use Proper Position Sizing: Climax trades can be volatile
Set Clear Stops: Define risk before entering any position
⚠️ Important Considerations
Not Every Climax Reverses: Some lead to continuation after brief pause
Context Matters: Consider overall trend and market structure
Volume Quality: Higher timeframe confirmation strengthens signals
Risk Management: Always use appropriate stop losses
Educational Value
This indicator teaches traders to:
Recognize Volume Patterns: Understand how volume reveals market psychology
Identify Exhaustion: Spot when trends may be running out of steam
Time Market Entries: Enter near potential turning points
Develop Market Feel: Build intuition for volume-price relationships
Installation & Setup
Add this overlay indicator directly to your NQ futures chart
Adjust volume multiplier based on recent market volatility
Enable alerts for automatic climax notifications
Combine with the companion "NQ Volume Analysis" oscillator for complete analysis
Disclaimer
This indicator is for educational and informational purposes only. Volume climax signals do not guarantee reversals and should be used as part of a comprehensive trading strategy. Past performance does not predict future results. Trading futures involves substantial risk of loss and is not suitable for all investors.
💡 Developed by ProfitGang Trading Community
Advanced volume analysis tools for serious traders
🔔 Enable alerts to catch every climax signal!
⭐ Rate and review if this tool improves your trading!
Companion Tools
NQ Volume Analysis: Complete multi-timeframe volume oscillator
Works Best Together: Use both indicators for comprehensive volume analysis
Professional Trading Suite: Part of ProfitGang's advanced indicator collection
#NQFutures #VolumeClimax #ReversalTrading #VolumeAnalysis #FuturesTrading #TechnicalAnalysis #ProfitGang #TradingSignals
Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS)
Version: PineScript™ v6
📌 Description
The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on.
This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength.
🚀 Points of Innovation
● Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds.
● Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength.
● Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets.
● Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability.
● Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access.
🔧 Core Components
● Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity.
● Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies.
● Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness.
● Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information.
🔥 Key Features
● Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction.
● Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria.
● Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality.
● Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information.
● Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity.
● Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance.
● Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur.
🎨 Visualization
Signal Labels :
* Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon.
* Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly.
* Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context.
● Info Dashboard :
* Located at the top-right of the chart, providing a clean summary.
* Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence).
* Optional "💡 Hover over signals for details" reminder.
* Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance.
📖 Usage Guidelines
Setting Categories
⚙️ Core Delta & Volume Engine
● Minimum Volume Lookback (Bars)
○ Default: 9
○ Range: Integer (e.g., 5-50)
○ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average.
📈 Anomaly Detection Settings
Delta Z-Score Anomaly Threshold
○ Default: 2.5
○ Range: Float (e.g., 1.0-5.0+)
○ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style.
🔬 Context Filters
Enable Trend Filter
○ Default: False
○ Range: Boolean (True/False)
○ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise.
● Trend EMA Fast
○ Default: 50
○ Range: Integer (e.g., 10-100)
○ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction.
● Trend EMA Slow
○ Default: 200
○ Range: Integer (e.g., 100-400)
○ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow).
🎨 Visual & UI Settings
● Show Info Dashboard
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal.
● Show Dashboard Tooltip
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information.
● Show Delta Anomaly Bar Colors
○ Default: True
○ Range: Boolean (True/False)
○ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly.
● Show Signal Labels
○ Default: True
○ Range: Boolean (True/False)
○ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated.
🔔 Alert Settings
Alert on Delta Anomaly
○ Default: True
○ Range: Boolean (True/False)
○ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected.
✅ Best Use Cases
Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move.
● Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move.
● Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades.
● Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies.
● Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies.
⚠️ Limitations
Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation.
● Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals.
● Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts.
● Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal.
💡 What Makes This Unique
Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds.
● Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating.
● User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels.
🔬 How It Works
1. Bar Delta Calculation:
● The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling.
● How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data.
2. Volume & Delta Z-Score Analysis:
● The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest.
● The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period.
● How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure.
3. Trend Filtering (Optional):
● Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA.
● How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals.
4. Signal Generation & Confidence Scoring:
● When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated.
● This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal.
● How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal.
💡 Note:
The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
Double Fractal Entry📘 Double Fractal Entry – Original Structure-Based Entry System
Double Fractal Entry is a proprietary indicator that uses dynamic fractal structure to generate actionable buy/sell signals, with automatic Stop-Loss and Take-Profit placement. Unlike classic fractal tools or ZigZag-based visuals, this script constructs real-time structural channels from price extremes and offers precise entry points based on breakout or rejection behavior.
It is designed for traders who want a clear, structured approach to trading price action — without repainting, lagging indicators, or built-in oscillators.
🧠 Core Logic
This script combines three custom-built modules:
1. Fractal Detection and Channel Construction
- Fractals are detected using a configurable number of left/right bars (sensitivity).
- Confirmed upper/lower fractals are connected into two continuous channels.
- These channels represent real-time structure zones that evolve with price.
2. Entry Signal Logic
You can choose between two signal types:
- Breakout Mode – Triggers when price breaks above the upper fractal structure (for buys) or below the lower one (for sells).
- Rebound Mode – Triggers when price approaches a fractal channel and then rejects it (forms a reversal setup).
Each signal includes:
- Entry arrow on the chart
- Horizontal entry line
- Stop-Loss and Take-Profit lines
3. SL/TP Calculation
Unlike tools that use ATR or fixed values, SL and TP are dynamically set using the fractal range — the distance between the most recent upper and lower fractals. This makes the risk model adaptive to market volatility and structure.
📊 Visuals on the Chart
- 🔺 Green/Red triangle markers = confirmed fractals
- 📈 Lime/Red channel lines = evolving upper/lower structure
- 🔵 Blue arrow = signal direction (buy/sell)
- 📉 SL/TP lines = dynamically drawn based on fractal spacing
- 🔁 Signal history = optional, toggleable for backtesting
⚙️ Settings and Customization
- Fractal sensitivity (bars left/right)
- Entry mode: Breakout or Rebound
- SL and TP multiplier (based on fractal range)
- Visibility settings (signal history, lines, colors, etc.)
💡 What Makes It Unique
This is not just a variation of standard fractals or a ZigZag wrapper.
Double Fractal Entry was built entirely from scratch and includes:
- ✅ A dual-channel system that shows the live market structure
- ✅ Entry signals based on price behavior around key zones
- ✅ Volatility-adaptive SL/TP levels for realistic trade management
- ✅ Clean, non-repainting logic for both manual and automated use
The goal is to simplify structure trading and provide precise, repeatable entries in any market condition.
🧪 Use Cases
- Breakout mode – Ideal for trend continuation and momentum entries
- Rebound mode – Great for reversals, pullbacks, and range-bound markets
- Can be used standalone or combined with volume/trend filters
🔒 Invite-Only Notice
This is an invite-only script with a fully closed source.
All logic is original and developed by the author. It does not use or copy public open-source scripts, built-in indicators (RSI, MA, etc.), or repainting tricks. The entire entry and risk system is based on custom structural logic built from real-time price action.
⚠️ Disclaimer
This tool is intended for technical analysis and educational use. It does not predict future market direction and should be used with proper risk management and strategy confirmation.
Session Volatility Dashboard█ Session Volatility Dashboard: HOW IT WORKS
This tool is built on transparent, statistically-grounded principles to ensure reliability and build user trust.
Session Logic: The script accurately identifies session periods based on user-defined start and end times in conjunction with the selected UTC offset. This ensures the session boxes and data are correctly aligned regardless of your local timezone or daylight saving changes.
Volatility Calculation: The core of the volatility engine is a comparison of current and historical price action. The script calculates a rolling Average True Range (ATR) over a user-defined lookback period (e.g., the last 20 sessions). It then compares the current session's ATR to this historical baseline to generate a simple percentage. For example, a reading of "135%" indicates the current session is 35% more volatile than the recent average, while "80%" indicates a contraction in volatility.
Dashboard Population : The script leverages TradingView's table object to construct the dashboard. This powerful feature allows the data to be displayed in a fixed position on the screen (e.g., top-right corner). Unlike plotted text, this table does not scroll with the chart's price history, ensuring that the most critical, up-to-date information is always available at a glance.
█ ACTIONABLE INTELLIGENCE: TRADING STRATEGIES & USE CASES
Translate data into action with these practical trading concepts.
Strategy 1: The Breakout Trade: Identify a session with low, coiling volatility (e.g., a Volatility reading below 75%)—often the Asian session. Mark the session high and low plotted by the indicator. These levels become prime targets for a potential breakout trade during the high-volume, high-volatility open of the subsequent London session.
Strategy 2 : The Mean Reversion (Fade) Trade: In a session with extremely high volatility (e.g., >150% of average), watch for price to rapidly extend to a new session high or low and then print a clear reversal candlestick pattern (like a pin bar or engulfing candle). This can signal momentum exhaustion and a high-probability opportunity to "fade" the move back toward the session midpoint.
Strategy 3 : The Trend Continuation: During a clear trending day, use the session midpoint as a dynamic area of value. Look for price to pull back to the midpoint during the London or New York session. If the session's Bias in the dashboard remains aligned with the higher-timeframe trend, this can present a quality entry to rejoin the established momentum.
█ COMPLETE CUSTOMIZATION: SETTINGS
Session Times: Independently set the start and end times for Asia, London, and New York sessions.
Timezone: Select your preferred UTC offset to align all sessions correctly.
Volatility Lookback: Define the number of past sessions to use for calculating the average volatility baseline (default is 20).
Dashboard Settings: Choose the on-screen position of the table, text size, and colors.
Visual Elements: Toggle on/off session background colors, high/low lines, and midpoint lines. Customize all colors.
Alerts: Enable/disable and customize alerts for session high/low breaks and volatility threshold crossings.
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend.
WHAT IS UNIVERSAL RENKO BARS?
For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action.
But what if you didn't have to choose?
Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds:
❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork.
❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.).
The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers.
Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas.
HOW TO USE
To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings.
Initial Setup for the Best Experience
For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart.
→ Double click on the candles and uncheck the body checkbox.
Settings Breakdown
The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy.
First, What is a "Tick"?
Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator.
❖ Calculation Method (The "Tick Size" Engine)
This section determines the monetary value of a single "Tick."
`Calculation Method` : Choose your preferred engine for defining the Tick Size.
`ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity.
`Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input.
`Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0).
❖ Parameters (The Core Renko Engine)
This group controls how the bricks are constructed based on the Tick Size.
`Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily.
`Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise.
`Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look.
❖ Visuals (Controlling What You See)
This is where you tailor the chart to your visual preference.
`Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend.
`Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick.
`Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts.
`Show Info Label` : Toggles the on-chart label that provides key real-time stats:
🧱 Bricks: The total count of confirmed bricks.
⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed.
🌲 Tick Size: The current calculated value of a single Tick.
Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation.
TRADING STRATEGIES & IDEAS
Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies.
Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum.
Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry.
Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level.
Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal.
A FINAL WORD
Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence.
Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates!
Follow me to get notified when I publish New Indicator.
~ SiddWolf
Aetherium Institutional Market Resonance EngineAetherium Institutional Market Resonance Engine (AIMRE)
A Three-Pillar Framework for Decoding Institutional Activity
🎓 THEORETICAL FOUNDATION
The Aetherium Institutional Market Resonance Engine (AIMRE) is a multi-faceted analysis system designed to move beyond conventional indicators and decode the market's underlying structure as dictated by institutional capital flow. Its philosophy is built on a singular premise: significant market moves are preceded by a convergence of context , location , and timing . Aetherium quantifies these three dimensions through a revolutionary three-pillar architecture.
This system is not a simple combination of indicators; it is an integrated engine where each pillar's analysis feeds into a central logic core. A signal is only generated when all three pillars achieve a state of resonance, indicating a high-probability alignment between market organization, key liquidity levels, and cyclical momentum.
⚡ THE THREE-PILLAR ARCHITECTURE
1. 🌌 PILLAR I: THE COHERENCE ENGINE (THE 'CONTEXT')
Purpose: To measure the degree of organization within the market. This pillar answers the question: " Is the market acting with a unified purpose, or is it chaotic and random? "
Conceptual Framework: Institutional campaigns (accumulation or distribution) create a non-random, organized market environment. Retail-driven or directionless markets are characterized by "noise" and chaos. The Coherence Engine acts as a filter to ensure we only engage when institutional players are actively steering the market.
Formulaic Concept:
Coherence = f(Dominance, Synchronization)
Dominance Factor: Calculates the absolute difference between smoothed buying pressure (volume-weighted bullish candles) and smoothed selling pressure (volume-weighted bearish candles), normalized by total pressure. A high value signifies a clear winner between buyers and sellers.
Synchronization Factor: Measures the correlation between the streams of buying and selling pressure over the analysis window. A high positive correlation indicates synchronized, directional activity, while a negative correlation suggests choppy, conflicting action.
The final Coherence score (0-100) represents the percentage of market organization. A high score is a prerequisite for any signal, filtering out unpredictable market conditions.
2. 💎 PILLAR II: HARMONIC LIQUIDITY MATRIX (THE 'LOCATION')
Purpose: To identify and map high-impact institutional footprints. This pillar answers the question: " Where have institutions previously committed significant capital? "
Conceptual Framework: Large institutional orders leave indelible marks on the market in the form of anomalous volume spikes at specific price levels. These are not random occurrences but are areas of intense historical interest. The Harmonic Liquidity Matrix finds these footprints and consolidates them into actionable support and resistance zones called "Harmonic Nodes."
Algorithmic Process:
Footprint Identification: The engine scans the historical lookback period for candles where volume > average_volume * Institutional_Volume_Filter. This identifies statistically significant volume events.
Node Creation: A raw node is created at the mean price of the identified candle.
Dynamic Clustering: The engine uses an ATR-based proximity algorithm. If a new footprint is identified within Node_Clustering_Distance (ATR) of an existing Harmonic Node, it is merged. The node's price is volume-weighted, and its magnitude is increased. This prevents chart clutter and consolidates nearby institutional orders into a single, more significant level.
Node Decay: Nodes that are older than the Institutional_Liquidity_Scanback period are automatically removed from the chart, ensuring the analysis remains relevant to recent market dynamics.
3. 🌊 PILLAR III: CYCLICAL RESONANCE MATRIX (THE 'TIMING')
Purpose: To identify the market's dominant rhythm and its current phase. This pillar answers the question: " Is the market's immediate energy flowing up or down? "
Conceptual Framework: Markets move in waves and cycles of varying lengths. Trading in harmony with the current cyclical phase dramatically increases the probability of success. Aetherium employs a simplified wavelet analysis concept to decompose price action into short, medium, and long-term cycles.
Algorithmic Process:
Cycle Decomposition: The engine calculates three oscillators based on the difference between pairs of Exponential Moving Averages (e.g., EMA8-EMA13 for short cycle, EMA21-EMA34 for medium cycle).
Energy Measurement: The 'energy' of each cycle is determined by its recent volatility (standard deviation). The cycle with the highest energy is designated as the "Dominant Cycle."
Phase Analysis: The engine determines if the dominant cycles are in a bullish phase (rising from a trough) or a bearish phase (falling from a peak).
Cycle Sync: The highest conviction timing signals occur when multiple cycles (e.g., short and medium) are synchronized in the same direction, indicating broad-based momentum.
🔧 COMPREHENSIVE INPUT SYSTEM
Pillar I: Market Coherence Engine
Coherence Analysis Window (10-50, Default: 21): The lookback period for the Coherence Engine.
Lower Values (10-15): Highly responsive to rapid shifts in market control. Ideal for scalping but can be sensitive to noise.
Balanced (20-30): Excellent for day trading, capturing the ebb and flow of institutional sessions.
Higher Values (35-50): Smoother, more stable reading. Best for swing trading and identifying long-term institutional campaigns.
Coherence Activation Level (50-90%, Default: 70%): The minimum market organization required to enable signal generation.
Strict (80-90%): Only allows signals in extremely clear, powerful trends. Fewer, but potentially higher quality signals.
Standard (65-75%): A robust filter that effectively removes choppy conditions while capturing most valid institutional moves.
Lenient (50-60%): Allows signals in less-organized markets. Can be useful in ranging markets but may increase false signals.
Pillar II: Harmonic Liquidity Matrix
Institutional Liquidity Scanback (100-400, Default: 200): How far back the engine looks for institutional footprints.
Short (100-150): Focuses on recent institutional activity, providing highly relevant, immediate levels.
Long (300-400): Identifies major, long-term structural levels. These nodes are often extremely powerful but may be less frequent.
Institutional Volume Filter (1.3-3.0, Default: 1.8): The multiplier for detecting a volume spike.
High (2.5-3.0): Only registers climactic, undeniable institutional volume. Fewer, but more significant nodes.
Low (1.3-1.7): More sensitive, identifying smaller but still relevant institutional interest.
Node Clustering Distance (0.2-0.8 ATR, Default: 0.4): The ATR-based distance for merging nearby nodes.
High (0.6-0.8): Creates wider, more consolidated zones of liquidity.
Low (0.2-0.3): Creates more numerous, precise, and distinct levels.
Pillar III: Cyclical Resonance Matrix
Cycle Resonance Analysis (30-100, Default: 50): The lookback for determining cycle energy and dominance.
Short (30-40): Tunes the engine to faster, shorter-term market rhythms. Best for scalping.
Long (70-100): Aligns the timing component with the larger primary trend. Best for swing trading.
Institutional Signal Architecture
Signal Quality Mode (Professional, Elite, Supreme): Controls the strictness of the three-pillar confluence.
Professional: Loosest setting. May generate signals if two of the three pillars are in strong alignment. Increases signal frequency.
Elite: Balanced setting. Requires a clear, unambiguous resonance of all three pillars. The recommended default.
Supreme: Most stringent. Requires perfect alignment of all three pillars, with each pillar exhibiting exceptionally strong readings (e.g., coherence > 85%). The highest conviction signals.
Signal Spacing Control (5-25, Default: 10): The minimum bars between signals to prevent clutter and redundant alerts.
🎨 ADVANCED VISUAL SYSTEM
The visual architecture of Aetherium is designed not merely for aesthetics, but to provide an intuitive, at-a-glance understanding of the complex data being processed.
Harmonic Liquidity Nodes: The core visual element. Displayed as multi-layered, semi-transparent horizontal boxes.
Magnitude Visualization: The height and opacity of a node's "glow" are proportional to its volume magnitude. More significant nodes appear brighter and larger, instantly drawing the eye to key levels.
Color Coding: Standard nodes are blue/purple, while exceptionally high-magnitude nodes are highlighted in an accent color to denote critical importance.
🌌 Quantum Resonance Field: A dynamic background gradient that visualizes the overall market environment.
Color: Shifts from cool blues/purples (low coherence) to energetic greens/cyans (high coherence and organization), providing instant context.
Intensity: The brightness and opacity of the field are influenced by total market energy (a composite of coherence, momentum, and volume), making powerful market states visually apparent.
💎 Crystalline Lattice Matrix: A geometric web of lines projected from a central moving average.
Mathematical Basis: Levels are projected using multiples of the Golden Ratio (Phi ≈ 1.618) and the ATR. This visualizes the natural harmonic and fractal structure of the market. It is not arbitrary but is based on mathematical principles of market geometry.
🧠 Synaptic Flow Network: A dynamic particle system visualizing the engine's "thought process."
Node Density & Activation: The number of particles and their brightness/color are tied directly to the Market Coherence score. In high-coherence states, the network becomes a dense, bright, and organized web. In chaotic states, it becomes sparse and dim.
⚡ Institutional Energy Waves: Flowing sine waves that visualize market volatility and rhythm.
Amplitude & Speed: The height and speed of the waves are directly influenced by the ATR and volume, providing a feel for market energy.
📊 INSTITUTIONAL CONTROL MATRIX (DASHBOARD)
The dashboard is the central command console, providing a real-time, quantitative summary of each pillar's status.
Header: Displays the script title and version.
Coherence Engine Section:
State: Displays a qualitative assessment of market organization: ◉ PHASE LOCK (High Coherence), ◎ ORGANIZING (Moderate Coherence), or ○ CHAOTIC (Low Coherence). Color-coded for immediate recognition.
Power: Shows the precise Coherence percentage and a directional arrow (↗ or ↘) indicating if organization is increasing or decreasing.
Liquidity Matrix Section:
Nodes: Displays the total number of active Harmonic Liquidity Nodes currently being tracked.
Target: Shows the price level of the nearest significant Harmonic Node to the current price, representing the most immediate institutional level of interest.
Cycle Matrix Section:
Cycle: Identifies the currently dominant market cycle (e.g., "MID ") based on cycle energy.
Sync: Indicates the alignment of the cyclical forces: ▲ BULLISH , ▼ BEARISH , or ◆ DIVERGENT . This is the core timing confirmation.
Signal Status Section:
A unified status bar that provides the final verdict of the engine. It will display "QUANTUM SCAN" during neutral periods, or announce the tier and direction of an active signal (e.g., "◉ TIER 1 BUY ◉" ), highlighted with the appropriate color.
🎯 SIGNAL GENERATION LOGIC
Aetherium's signal logic is built on the principle of strict, non-negotiable confluence.
Condition 1: Context (Coherence Filter): The Market Coherence must be above the Coherence Activation Level. No signals can be generated in a chaotic market.
Condition 2: Location (Liquidity Node Interaction): Price must be actively interacting with a significant Harmonic Liquidity Node.
For a Buy Signal: Price must be rejecting the Node from below (testing it as support).
For a Sell Signal: Price must be rejecting the Node from above (testing it as resistance).
Condition 3: Timing (Cycle Alignment): The Cyclical Resonance Matrix must confirm that the dominant cycles are synchronized with the intended trade direction.
Signal Tiering: The Signal Quality Mode input determines how strictly these three conditions must be met. 'Supreme' mode, for example, might require not only that the conditions are met, but that the Market Coherence is exceptionally high and the interaction with the Node is accompanied by a significant volume spike.
Signal Spacing: A final filter ensures that signals are spaced by a minimum number of bars, preventing over-alerting in a single move.
🚀 ADVANCED TRADING STRATEGIES
The Primary Confluence Strategy: The intended use of the system. Wait for a Tier 1 (Elite/Supreme) or Tier 2 (Professional/Elite) signal to appear on the chart. This represents the alignment of all three pillars. Enter after the signal bar closes, with a stop-loss placed logically on the other side of the Harmonic Node that triggered the signal.
The Coherence Context Strategy: Use the Coherence Engine as a standalone market filter. When Coherence is high (>70%), favor trend-following strategies. When Coherence is low (<50%), avoid new directional trades or favor range-bound strategies. A sharp drop in Coherence during a trend can be an early warning of a trend's exhaustion.
Node-to-Node Trading: In a high-coherence environment, use the Harmonic Liquidity Nodes as both entry points and profit targets. For example, after a BUY signal is generated at one Node, the next Node above it becomes a logical first profit target.
⚖️ RESPONSIBLE USAGE AND LIMITATIONS
Decision Support, Not a Crystal Ball: Aetherium is an advanced decision-support tool. It is designed to identify high-probability conditions based on a model of institutional behavior. It does not predict the future.
Risk Management is Paramount: No indicator can replace a sound risk management plan. Always use appropriate position sizing and stop-losses. The signals provided are probabilistic, not certainties.
Past Performance Disclaimer: The market models used in this script are based on historical data. While robust, there is no guarantee that these patterns will persist in the future. Market conditions can and do change.
Not a "Set and Forget" System: The indicator performs best when its user understands the concepts behind the three pillars. Use the dashboard and visual cues to build a comprehensive view of the market before acting on a signal.
Backtesting is Essential: Before applying this tool to live trading, it is crucial to backtest and forward-test it on your preferred instruments and timeframes to understand its unique behavior and characteristics.
🔮 CONCLUSION
The Aetherium Institutional Market Resonance Engine represents a paradigm shift from single-variable analysis to a holistic, multi-pillar framework. By quantifying the abstract concepts of market context, location, and timing into a unified, logical system, it provides traders with an unprecedented lens into the mechanics of institutional market operations.
It is not merely an indicator, but a complete analytical engine designed to foster a deeper understanding of market dynamics. By focusing on the core principles of institutional order flow, Aetherium empowers traders to filter out market noise, identify key structural levels, and time their entries in harmony with the market's underlying rhythm.
"In all chaos there is a cosmos, in all disorder a secret order." - Carl Jung
— Dskyz, Trade with insight. Trade with confluence. Trade with Aetherium.
GEX and OI levelsIntroduction
Harness the power of institutional options flow analysis with the GEX & OI Levels indicator – an advanced tool that brings professional-grade options analytics directly to your TradingView charts. This comprehensive indicator visualizes Gamma Exposure (GEX) and Open Interest (OI) data, revealing hidden market forces that drive price action and potential reversal points. Designed for serious traders who understand that options positioning often precedes price movement.
What Is GEX & OI Levels?
GEX & OI Levels is a sophisticated indicator that analyzes options market positioning through the lens of dealer gamma exposure and open interest concentration. By visualizing where market makers must hedge their options positions, you can identify potential support/resistance levels, price magnets, and likely volatility zones. The indicator processes strike-by-strike options data to generate actionable insights about institutional positioning and potential price behavior.
Key Features
Complete Gamma Exposure Analysis
Dynamic GEX histogram showing dealer positioning at each strike
Visual identification of positive and negative gamma zones
Smoothed total GEX calculation with customizable parameters
Zero gamma level identification - critical price points where dealer behavior changes
Critical Price Level Identification
Gamma flip points that often act as magnets for price
Gamma walls where significant hedging activity may create support/resistance
Golden strike detection where both call and put OI show unusual concentration
Max pain calculation showing the price point where options expiration causes maximum loss
Dealer Positioning Intelligence
Analysis of dealer hedging requirements for price movements
Calculation of expected dealer behavior during rallies and dips
Signal strength indicators showing potential hedging impact
Delta-adjusted GEX for more accurate near-expiration analysis
Comprehensive Data Visualization
Highly configurable visualization of GEX histogram with logarithmic scaling
Strike-by-strike data table with color-coded gamma values
Top OI levels for both calls and puts with customizable highlighting
Detailed metrics panel showing all key GEX and options analytics
Use Cases
1. Identifying Potential Price Magnets
Gamma flip points often act as magnets for price, especially near expiration
Zero gamma levels show where dealer hedging pressure changes direction
Golden strikes reveal where both call and put sellers have significant exposure
2. Discovering Support & Resistance Zones
Gamma walls indicate where dealer hedging may create price barriers
Top OI levels often become psychological support/resistance points
Max pain level shows where options writers have incentive to push price
3. Predicting Market Volatility
Low GEX environments signal potential for increased volatility
High GEX environments typically lead to price compression and reduced volatility
Dealer positioning metrics indicate whether market makers are dampening or amplifying moves
4. Timing Market Reversals
Extreme dealer positioning often precedes market reversals
Proximity to flip points provides timing signals for potential turns
Signal strength measurement helps quantify the potential impact
5. Enhancing Trading Strategy
Align your trades with or against dealer hedging flows
Use dealer positioning analysis to set more precise stop losses and targets
Combine with technical analysis for high-probability trading setups
Customization Options
The indicator offers extensive customization capabilities:
Data Input & Configuration
CSV data input for option chain information
Adjustable DTE (Days To Expiration) settings
Risk-free rate and implied volatility parameters
Custom symbol formatting for different data providers
Calculation Settings
Gamma weight multiplier for sensitivity adjustment
Strike range limitations to focus on relevant price zones
Gamma scaling options based on strike distance
Static IV mode for environments without option price data
Visualization Options
Customizable histogram appearance including scale and transparency
Color settings for positive/negative GEX, flip points, and gamma walls
OI level display with configurable number of levels
Strike data table with adjustable strike count
Analytics Settings
Delta-adjusted GEX for improved accuracy
Dealer positioning analytics with hedge efficiency parameters
Alerting capabilities for price approaching key levels
Golden strike highlighting for significant option activity zones
How to Use
Apply the indicator to your chart
Input your options data in CSV format using the required structure
Configure the expiration date to match your analysis timeframe
Adjust gamma calculation parameters based on your instrument
Use the GEX histogram and key levels to identify potential price targets
Monitor dealer positioning metrics to anticipate market behavior
Trade with confidence knowing where institutional hedging activity is concentrated
Perfect for options traders, futures traders, swing traders, and anyone who wants to incorporate institutional-level options analysis into their technical trading strategy.
Elevate your trading with GEX & OI Levels - where options positioning reveals future price action.
Guppy Multiple Moving Average (GMMA)The GMMA Momentum Indicator plots 12 EMAs on your chart, divided into two groups:
Short-term EMAs (6 lines, default periods: 3, 5, 8, 10, 12, 15): Represent short-term trader sentiment and momentum.
Long-term EMAs (6 lines, default periods: 30, 35, 40, 45, 50, 60): Reflect long-term investor behavior and broader market trends.
By analyzing the interaction between these two groups, the indicator identifies:
Bullish and bearish trends based on the relative positions of the short- and long-term EMAs.
Momentum strength through the spread or convergence of the EMAs.
Potential reversals or breakouts via compression signals.
This PineScript version enhances the traditional GMMA by adding visual cues like background colors, bearish signals, and compression detection, making it ideal for swing traders seeking clear, actionable insights.
The GMMA Momentum Indicator provides several key features:
1. Trend Identification
Bullish Trend: When the short-term EMAs (green lines) are above the long-term EMAs (blue lines) and spreading apart, it signals strong upward momentum. The chart background turns light green to highlight this condition.
Bearish Trend: When the short-term EMAs cross below the long-term EMAs and converge, it indicates downward momentum. The background turns light red, and an orange downward triangle appears above the bar to mark a new bearish signal.
2. Momentum Analysis
The spread between the short-term EMAs reflects the strength of short-term momentum. A wide spread suggests strong momentum, while a tight grouping indicates weakening momentum or consolidation. Similarly, the long-term EMAs act as dynamic support or resistance, guiding traders on the broader trend.
3. Compression Detection
Compression occurs when both the short-term and long-term EMAs converge, signaling low volatility and a potential breakout or reversal. A yellow upward triangle appears below the bar when compression is detected, alerting traders to watch for price action.
4. Visual Cues
Green short-term EMAs: Show short-term trader activity.
Blue long-term EMAs: Represent long-term investor sentiment.
Background colors: Light green for bullish trends, light red for bearish trends, and transparent for neutral conditions.
Orange downward triangles: Mark new bearish trends.
Yellow upward triangles: Indicate compression, hinting at potential breakouts.
How to Use the GMMA Momentum Indicator for Swing Trading
Swing trading involves capturing price moves over days to weeks, and the GMMA Momentum Indicator is an excellent tool for this strategy. Here’s how to use it effectively:
1. Identifying Trade Entries
Buy Opportunities:
Look for a bullish trend (green background) where the short-term EMAs are above the long-term EMAs and spreading apart, indicating strong momentum.
A compression signal (yellow triangle) followed by a breakout above resistance or a bullish candlestick pattern can confirm an entry.
Example: On a daily chart, if the short-term EMAs cross above the long-term EMAs and the background turns green, consider entering a long position, especially if volume supports the move.
Sell Opportunities:
Watch for a bearish signal (orange downward triangle) or a bearish trend (red background) where the short-term EMAs cross below the long-term EMAs.
Example: If the short-term EMAs collapse below the long-term EMAs and an orange triangle appears, it may signal a shorting opportunity or a time to exit longs.
2. Managing Trades
Use the long-term EMAs as dynamic support (in uptrends) or resistance (in downtrends) to set stop-loss levels or trail stops.
Monitor the spread of the short-term EMAs. A widening spread suggests the trend is strong, while convergence may indicate it’s time to take profits or tighten stops.
3. Anticipating Reversals
Compression signals (yellow triangles) highlight periods of low volatility, often preceding significant price moves. Combine these with price action (e.g., breakouts or reversals) or other indicators (e.g., RSI or volume) for confirmation.
Example: If a compression signal appears near a key support level and the price breaks upward, it could signal the start of a new bullish swing.
4. Best Practices
Timeframes: The indicator works well on daily or 4-hour charts for swing trading, but you can adjust the EMA periods for shorter (e.g., 1-hour) or longer (e.g., weekly) timeframes.
Confirmation: Combine the GMMA with other tools like support/resistance levels, candlestick patterns, or oscillators (e.g., MACD) to reduce false signals.
Risk Management: Always use proper position sizing and stop-losses, as EMAs are lagging indicators and may produce delayed signals in choppy markets.
VolumePrice Intensity AnalyzerVolumePrice Intensity Analyzer
The VolumePrice Intensity Analyzer is a Pine Script v6 indicator designed to measure market activity intensity through the trading value (Price * Volume, scaled to millions). It helps traders identify significant volume-price interactions, track trends, and gauge momentum by combining volume analysis with trend-following tools.
Features:
Volume-Based Analysis: Calculates Price * Volume in millions to highlight market activity levels.
Trend Identification: Plots 20-day and 50-day SMAs of the trading value to smooth fluctuations and reveal sustained trends.
Relative Strength: Displays the ratio of daily Price * Volume to the long-term SMA in a separate pane, helping traders assess activity intensity relative to historical averages.
Real-Time Metrics: A table shows the current Price * Volume and its ratio to the long SMA, updated continuously with bold text formatting (v6 feature).
Alerts: Triggers notifications for high trading values (when Price * Volume exceeds 1.5x the long SMA) and SMA crossovers (short SMA crossing above long SMA).
Visual Cues: Uses dynamic bar colors (teal for bullish, gray for bearish) and background highlights to mark significant market activity.
Customizable Inputs: Adjust SMA periods, scaling factor, and alert threshold via the settings panel, with tooltips for clarity (v6 feature).
Originality:
Unlike basic volume indicators, this tool combines Price * Volume with trend analysis (SMAs), relative strength (ratio plot), and actionable alerts. The real-time table and visual highlights provide a unique, at-a-glance view of market intensity, making it a valuable addition for volume and trend-focused traders.
Calculations:
Trading Value (P*V): (Close * Volume) * Scale Factor (default scale factor of 1e-6 converts to millions).
SMAs: 20-day and 50-day Simple Moving Averages of the trading value to identify short- and long-term trends.
Ratio: Daily Price * Volume divided by the 50-day SMA, plotted in a separate pane to show relative activity strength.
Bar Colors: Teal (RGB: 0, 132, 141) for bullish bars (close > open or close > previous close), gray for bearish or neutral bars.
Background Highlight: Light yellow (hex: #ffcb3b, 81% transparency) when Price * Volume exceeds the long SMA by the alert threshold.
Plotted Elements:
Short SMA P*V (M): Red line, 20-day SMA of Price*Volume in millions.
Long SMA P*V (M): Blue line, 50-day SMA of Price*Volume in millions.
Today P*V (M): Columns, daily Price*Volume in millions (teal/gray based on price action).
Daily V*P/Longer Term Average: Purple line in a separate pane, ratio of daily Price * Volume to the 50-day SMA.
Usage:
Spot High Activity: Look for Price * Volume columns exceeding the SMAs or spikes in the ratio plot to identify significant market moves.
Confirm Trends: Use SMA crossovers (e.g., short SMA crossing above long SMA) as bullish trend signals, or vice versa for bearish trends.
Monitor Intensity: The table provides real-time Price * Volume and ratio values, while background highlights signal high activity periods.
Versatility: Suitable for stocks, forex, crypto, or any market with volume data, across various timeframes.
How to Use:
Add the indicator to your chart.
Adjust inputs (SMA periods, scale factor, alert threshold) via the settings panel to match your trading style.
Watch for alerts, check the table for real-time metrics, and observe the ratio plot for relative strength signals.
Use the background highlights and bar colors to quickly spot significant market activity and price action.
This indicator leverages Pine Script v6 features like lazy evaluation for performance and advanced text formatting for better visuals, making it a powerful tool for traders focusing on volume, trends, and momentum.
Multi-Timeframe S/R Confluence - EnhancedOverview
The "Multi-Timeframe S/R Confluence - Enhanced" indicator is a powerful tool designed to identify high-probability support and resistance zones for trading BTC/USDT on a 15-minute chart. By analyzing pivot highs and lows across multiple timeframes (1-hour, 4-hour, and 8-hour), it pinpoints confluence zones—price levels where significant alignments occur—enhancing their reliability. These zones are visualized as dashed horizontal lines with dynamic labels, making it easy to spot potential reversal or bounce areas in real-time.
What It Does
Multi-Timeframe Analysis: Aggregates pivot points from 1h, 4h, and 8h charts to detect zones where price has historically reversed or consolidated.
Confluence Detection: Identifies levels where pivot highs (resistance) or lows (support) across different timeframes align within a user-defined threshold (default 1%), indicating stronger zones.
Dynamic Visualization: Plots dashed lines that extend across the chart, locked horizontally for visibility, and updates their positions as new confluence levels emerge.
Color Coding: Lines are green when above the current price (potential resistance or broken support) and red when below (potential support or broken resistance), adapting dynamically.
Labeled Zones: Adds labels (e.g., "R1" for resistance, "S1" for support) to each line, numbered sequentially, for quick identification.
How It Works
Pivot Detection: Uses ta.pivothigh and ta.pivotlow to find significant highs and lows on 1h, 4h, and 8h timeframes, with a configurable lookback period (default 5 bars).
Confluence Calculation: Compares pivot levels across timeframes. If two levels (e.g., 1h and 4h pivot highs) are within the threshold (default 1% relative difference), their average is plotted as a confluence zone.
Resistance: Alignments of pivot highs (1h-4h, 1h-8h, 4h-8h).
Support: Alignments of pivot lows (1h-4h, 1h-8h, 4h-8h).
Line Drawing: Renders dashed lines at these levels, extending them rightward to span the chart. Lines update dynamically as new pivots form, ensuring relevance to current price action.
Labeling: Attaches labels ("R1", "R2", etc. for resistance; "S1", "S2", etc. for support) to each zone, with resistance labels below the line and support labels above for clarity.
Key Features
High-Probability Zones: Confluence across multiple timeframes increases the likelihood of price reactions, ideal for swing or scalping strategies on BTC/USDT.
Dynamic Updates: Lines adjust to the latest pivot data, keeping the indicator responsive without manual intervention.
Customizable Inputs:
Pivot Lookback: Controls pivot sensitivity (default 5). Higher values (e.g., 10) detect broader zones; lower values (e.g., 3) focus on recent extremes.
Threshold: Sets confluence tolerance (default 0.01 or 1%). Increase (e.g., 0.02) for more zones, decrease (e.g., 0.005) for stricter alignment.
Line Width: Adjusts line thickness (default 2) for visibility.
Enhanced Visuals: Dashed lines and labeled zones provide a clean, professional look, avoiding chart clutter.
How to Use
Setup:
Add the indicator to a 15-minute BTC/USDT chart (e.g., BINANCE:BTCUSDT) via TradingView’s Pine Editor.
Apply it by clicking “Add to Chart.”
Interpretation:
Green Lines (e.g., "R1", "R2"): Resistance zones above the current price. Watch for reversals or resistance if price approaches from below.
Red Lines (e.g., "S1", "S2"): Support zones below the current price. Anticipate bounces or support if price nears from above.
Color Shifts: As price crosses a line, its color changes (green to red or vice versa), signaling a potential breakout or breakdown.
Trading Applications:
Reversal Trades: Enter short near resistance (e.g., "R1") or long near support (e.g., "S1") when price shows rejection (e.g., candlestick patterns).
Breakout Trades: Trade breakouts above resistance or below support if confirmed by volume or momentum.
Risk Management: Place stops just beyond these zones to protect against false breaks.
Customization:
Adjust Pivot Lookback to match your trading style (e.g., higher for swing trading, lower for scalping).
Tweak Threshold based on BTC/USDT volatility—wider thresholds may suit choppy markets.
Set Line Width for better visibility on your screen.
Example
Price at 83,000:
"R1" at 85,200 (green): Resistance confluence from 1h and 4h pivot highs. Expect selling pressure if price rises.
"S1" at 80,400 (red): Support confluence from 4h and 8h pivot lows. Look for a bounce if price drops.
Outcome: Price hits 85,200, forms a shooting star, and reverses—validating "R1" as a key level.
Notes
Initial Delay: Lines may take a few bars to appear as pivot data accumulates from higher timeframes.
Chart Compatibility: Optimized for BTC/USDT 15m but can work on other pairs/timeframes with adjustments.
Not a Standalone Signal: Combine with other indicators (e.g., RSI, volume) or price action for confirmation.
Purpose
This indicator empowers traders by highlighting multi-timeframe confluence zones, offering a clear, actionable view of where BTC/USDT is likely to react. Whether you’re scalping, day trading, or swing trading, it provides a robust framework for identifying critical price levels with enhanced precision and visual appeal.
Fibonacci RangeFibonacci Range 50 Indicator
The Fibonacci Range 50 indicator is designed to help traders identify potential price reversal zones and breakout levels by utilizing the 50% Fibonacci retracement level as a key reference point. This indicator is particularly useful for traders who rely on technical analysis and price action to make informed trading decisions.
How It Works:
Identifies the Range – The indicator automatically detects a significant price range, typically based on the highest and lowest points of a given session (e.g., Asian session, previous day’s range, or a custom timeframe).
Plots Fibonacci Levels – The key 50% Fibonacci retracement level is calculated within this range, acting as a dynamic midpoint that often serves as a pivot zone for price movements.
Breakout & Reversal Signals –
If the price rejects the 50% level, it may indicate a trend continuation or range-bound movement.
If the price breaks above or below the range with momentum, it may signal a potential breakout trade opportunity.
Key Features:
✅ Automatic Fibonacci Level Calculation – No manual drawing required.
✅ Customizable Time Ranges – Allows traders to adjust the indicator based on their preferred trading session.
✅ Works Across Different Markets – Effective for Forex, Crypto, and Stock trading.
✅ Breakout & Reversal Strategy Integration – Can be used in conjunction with other indicators such as Moving Averages, RSI, and MACD.
Ideal For:
Intraday traders looking for high-probability setups.
Swing traders identifying potential turning points.
Traders using breakout strategies based on price action.
This indicator provides traders with clear and actionable insights to improve their trade entries, stop-loss placements, and profit targets. 🚀
