ALP AT + KAMA Crossover This indicator is a powerful combination of two adaptive trend-following concepts: the AlphaTrend by Kivanc Ozbilgic and the Kaufman's Adaptive Moving Average (KAMA), often credited to Perry Kaufman (with the specific implementation based on HPotter's interpretation of KAMA).
The primary goal of this indicator is to provide a robust trend detection and dynamic support/resistance system, adapting to market volatility.
How it Works:
AlphaTrend Component: The green/red line is the AlphaTrend. It dynamically adjusts to market volatility (using ATR) and momentum (using MFI or RSI, configurable). It provides faster signals for trend changes.
KAMA Component: The black line is the Kaufman's Adaptive Moving Average. KAMA is designed to filter out market noise during choppy periods and follow the price closely during trending periods, making it a smoother and more reliable long-term trend indicator.
Color-Coded Trend Zones: The AlphaTrend line is color-coded to visually represent the current market condition based on the price's position relative to both AlphaTrend and KAMA:
Strong Uptrend (Lime Green): Price is above both AlphaTrend and KAMA.
Strong Downtrend (Red): Price is below both AlphaTrend and KAMA.
Uptrend Uncertainty (Orange): Price is above KAMA but below AlphaTrend (suggests consolidation or weakening uptrend).
Downtrend Uncertainty (Blue): Price is below KAMA but above AlphaTrend (suggests consolidation or strengthening downtrend within a downtrend).
Gray: Default/unclassified state.
The underlying logic is based on:
Bullish Crossover (Potential Buy Signal): When the AlphaTrend line crosses above the KAMA line.
Bearish Crossover (Potential Sell Signal): When the AlphaTrend line crosses below the KAMA line.
These crossovers indicate a shift in the adaptive trend momentum.
Customization:
Users can customize various parameters in the indicator's settings, including:
AlphaTrend Multiplier and Common Period.
KAMA Lengths and Alpha values.
All the color codes for different trend zones and lines, allowing for full personalization of the visual output.
Disclaimer:
This indicator is for informational and educational purposes only and should not be considered as financial advice. Trading involves substantial risk, and past performance is not indicative of future results. Always conduct your own thorough research and analysis before making any trading or investment decisions. This indicator is NOT a buy/sell/hold recommendation. Use it as a tool to aid your analysis, not as a sole basis for your trades.
Analisi trend
Support, Resistance and Tests with Pivot Volume [SRLDA]Transform Your Technical Analysis with "Support, Resistance and Tests with Pivot Volume "
If you're looking for a professional indicator designed to take your trading to the next level, meet Support, Resistance and Tests with Pivot Volume , developed by Sardinha Risonha Lda (SRLDA).
Why is this indicator different?
Unlike standard tools that only draw static lines, this indicator automatically detects pivot highs and lows and evaluates their strength based on real volume. You get a dynamic, living analysis that evolves with the market.
How does it work?
Pivot detection: Identifies significant highs and lows using configurable bars to the left and right.
Volume capture: Records volume at each pivot to evaluate market conviction.
Volume analysis: Compares pivot volume to the 20-bar moving average volume (SMA). Levels are classified as WEAK, MEDIUM, or STRONG.
Dynamic styling: Line thickness and color adapt to strength. Labels show classification and formatted volume (K or M).
Retest feedback & trend change cues: When price retests a line, it changes style (e.g., dashed) and color to signal possible reversals or confirmations — perfect for spotting trend shifts in real time.
What do you get?
✅ Automatic support and resistance detection.✅ Strength classification for smarter decisions.✅ Visual cues with adaptive styles and colors.✅ Real-time updated labels with volume info.✅ Confirmation on trend changes through line style updates.
Who is it for?
Day traders and swing traders who want to avoid false breakouts.
Investors needing volume confirmation for entries.
Technical analysts who love clean, dynamic visuals.
100% customizable
✔️ Choose line style (solid, dashed, dotted).✔️ Adjust base thickness and max active lines.✔️ Toggle labels on/off easily.
Seamless with TradingView
Built with Pine Script v5 and fully optimized for TradingView. Start in seconds.
Take your edge further
Don’t just see levels — understand and react to them. With SRLDA, you know which zones truly matter and when a trend might shift.
⚡ Ready to trade smarter? Get it now and transform your market approach.
BTC/Fiat Divergence & Spread Monitor📄 BTC/Fiat Divergence & Spread Monitor
This indicator visualizes Bitcoin’s relative performance across multiple fiat currencies and highlights periods of unusual divergence. It helps traders assess which fiat pairs BTC has outperformed or underperformed over a configurable lookback period and monitor the dynamic spread between the strongest and weakest pairs.
Features:
Relative Performance Matrix:
Ranks BTC returns in 6 fiat pairs, displaying a color-coded table of percentage changes and ranks.
Divergence Spread Oscillator:
Calculates the spread between the top and bottom performing pairs and normalizes this using a Z-Score. The oscillator helps identify when fiat pricing divergence is unusually high or compressed.
Dynamic Smoothing:
Optional Hull Moving Average smoothing to reduce noise in the spread signal.
Customizable Inputs:
Lookback period for percent change.
Z-Score normalization window.
Smoothing length.
Symbol selection for each fiat pair.
Visual Mode Toggle:
Switch between relative performance lines and spread oscillator view.
Potential Use Cases:
Fiat Rotation:
Identify which fiat is relatively weak or strong to optimize your exit currency when taking BTC profits.
Volatility Detection:
Use the spread Z-Score to detect periods of high divergence across fiat pairs, signaling macro FX volatility or dislocations.
Regime Analysis:
Track when fiat spreads are converging or expanding, potentially signaling market regime shifts.
Risk Management:
When divergence is extreme (Z-Score > +1), consider reducing position sizing or waiting for reversion.
Disclaimer:
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security or asset. Always do your own research and consult a qualified financial professional before making trading decisions. Use at your own risk.
Tip:
Experiment with different lookback periods and smoothing settings to adapt the indicator to your timeframe and trading style.
Trading Tools🎯 Trading Tools – Your All-in-One Market Analysis Solution
Developed by Marcelo Ulisses Sobreiro Ribeiro, Trading Tools is a powerful, multi-functional indicator that combines essential trading features into a single, streamlined tool. Perfect for traders who want clear, precise market opportunities across any asset or timeframe.
🔥 Key Features:
📊 Smart Moving Averages
Customizable setup for up to 5 MAs (EMA, SMA, WMA).
Color-coded fills between MAs to highlight trends (bullish/bearish).
Dynamic 20-period MA (color shifts with trend).
Alerts for crossovers and trend changes.
🕒 Killzones (High-Liquidity Sessions)
Visual highlights for key trading sessions: Asia, London, NY AM, NY Lunch, and NY PM.
Customizable colors and transparency.
Drawing limit to avoid chart clutter.
📅 Time-Based Markers
Day-of-week labels (option to hide weekends).
Day separators (customizable style).
🎨 Rule-Based Candle Coloring
Expanded True Range (large candles).
Inside Bars.
123 Pattern (Mark Crisp).
Bullish/Bearish Engulfing.
Price of Closing Reversal (PFR).
Market Strength.
Overbought/Oversold (RSI & Stochastic).
⚖️ Imbalance Detector (FVG, OG, VI)
Fair Value Gaps (FVG).
Opening Gaps (OG).
Volume Imbalance (VI).
🔄 Stochastic Cross & Valid Pullbacks
Stochastic crossover signals (up/down arrows).
Valid pullback alerts.
📈 Dynamic Support & Resistance
Previous day’s high/low (PDH/PDL).
Automatic pivot detection (significant highs/lows).
⚙️ Full Customization
Adjust timeframe limits, timezone, label size, and colors.
Control how many drawings are kept on the chart.
🚨 Built-in Alerts
Alerts for 20-period MA, PFR, Pullbacks, and more!
📌 Why Use Trading Tools?
All-in-one solution: No need for multiple indicators.
Intuitive visuals: Colors and markers simplify setup identification.
Adaptable: Works on any asset (forex, stocks, crypto).
🔹 Perfect for traders who want efficiency and clarity in their analysis!
SPX Psych Levels for /ES Futures (Fair Value)Overview
This indicator displays S&P 500 psychological levels adjusted for ES futures fair value premium. These levels act as powerful magnets for price action due to the convergence of technical trading and options market dynamics.
What is Fair Value Premium?
Simply put, its the difference between the SPX price and the ES futures price. This changes dynamically based on interest rate, dividends, and time to expiration.
Why Psych Levels are Increasingly Important
Psychological levels are round numbers where traders naturally place orders. These obvious levels attract stop losses, profit targets, and breakout orders from both retail and institutional traders. Algorithms often target these same levels, creating a self-fulfilling prophecy of support and resistance. Importantly, this effect has been exacerbated by the options market.
Using May 2025 as an example, SPX options averaged 3.46 million contracts a day ≈US $1.8 trillion notional, dwarfing trading in SPY or ES/MES futures. 0-day-to-expiry (0DTE) trades hit a record-high 61% share of all SPX volume, making the options complex the primary arena for intraday price discovery.
Strikes at psychological numbers (ending in 00 and 50) captured 66% of total open interest and 58% of 0DTE volume for the entire month. This massive concentration at round number strikes creates powerful hedging flows:
Dealer Gamma Hedging: As price approaches these levels, market makers must dynamically hedge their options exposure, creating reflexive buying/selling pressure
Pin Risk: Options dealers face maximum uncertainty at these levels near expiration, leading to increased hedging activity
Charm Flows: Time decay accelerates near these levels, forcing position adjustments
How It Works
The indicator automatically:
Calculates the fair value premium between ES futures and SPX using real-time interest rate data, dividends, and time to expiration
Adjusts SPX round numbers by this premium to show where they appear on ES charts
Updates once daily at futures session open (5PM CT) to maintain stable reference points throughout the trading session
Key Features
All TradingView Native: All calculations performed automatically using data available within TradingView - no external data feeds or manual updates required
Multiple Level Increments: Display major (100-point), intermediate (50-point), and minor (25-point) psychological levels
Margin of Error Zones: Optional ±2.5 point zones accounting for fair value calculation variance
Full Customization: Colors, line styles, and widths for each level type
Fair Value Info Table: Displays current contract, fair value calculation, interest rate, and days to expiration
Automatic Contract Detection: Works on ES1!/MES1! continuous contracts and automatically detects the current front month contract
Important Notes
This indicator does not access any options data. It identifies levels where options activity naturally concentrates based on market structure. The power comes from understanding that these obvious levels create predictable dealer hedging flows, making them high-probability reaction zones.
Trading Applications
These levels can be used as dynamic areas of interest to be incorporated into a complete trading strategy.
Momentum Trajectory Suite📈 Momentum Trajectory Suite
🟢 Overview
Momentum Trajectory Suite is a multi-faceted indicator designed to help traders evaluate trend direction, volatility conditions, and behavioral sentiment in a single consolidated view.
By combining a customizable Trajectory EMA, adaptive Bollinger Bands, and a Greed vs. Fear heatmap, this tool empowers traders to identify directional bias, measure momentum strength, and spot potential reversals or continuation setups.
🧠 Concept
This indicator merges three classic techniques:
Trend Analysis: Trajectory EMA highlights the prevailing directional momentum by smoothing price action over a customizable period.
Volatility Envelopes: Bollinger Bands adapt to dynamic price swings, showing overbought/oversold extremes and periods of contraction or expansion.
Behavioral Sentiment: A Greed vs. Fear heatmap combines RSI and MACD Histogram readings to visualize when markets are dominated by buying enthusiasm or selling pressure.
The combination is designed to help traders interpret market context more effectively than using any single component alone.
🛠️ How to Use the Indicator
Trajectory EMA:
Use the blue EMA line to assess overall trend direction.
Price closing above the EMA may indicate bullish momentum; closing below may indicate bearish bias.
Buy/Sell Signals:
Green circles appear when price crosses above the EMA (potential long entry).
Red circles appear when price crosses below the EMA (potential exit or short entry).
Bollinger Bands:
Monitor upper/lower bands for overbought and oversold price extremes.
Narrowing bands may signal upcoming volatility expansion.
Greed vs. Fear Heatmap:
Green histogram bars indicate bullish sentiment when RSI exceeds 60 and MACD Histogram is positive.
Red histogram bars indicate bearish sentiment when RSI is below 40 and MACD Histogram is negative.
Gray bars indicate neutral or mixed conditions.
Background Color Zones:
The chart background shifts to green when EMA slope is positive and red when negative, providing quick directional cues.
All inputs are adjustable in settings, including EMA length, Bollinger Band parameters, and oscillator configurations.
📊 Interpretation
Bullish Conditions:
Price above the Trajectory EMA, background green, and Greed heatmap active.
May signal trend continuation and increased buying pressure.
Bearish Conditions:
Price below the Trajectory EMA, background red, and Fear heatmap active.
May signal momentum breakdown or potential continuation to the downside.
Volatility Clues:
Wide Bollinger Bands = trending, volatile market.
Narrow Bollinger Bands = low volatility and possible breakout setup.
Signal Confirmation:
Consider combining signals (e.g., EMA crossover + Greed/Fear heatmap + Bollinger Band touch) for higher-confidence entries.
📝 Notes
The script does not repaint or use future data.
Suitable for multiple timeframes (intraday to daily).
May be combined with other confirmation tools or price action analysis.
⚠️ Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice. Trading carries risk and past performance is not indicative of future results. Always perform your own due diligence before making trading decisions.
Pristine Value Areas & MGIThe Pristine Value Areas indicator enables users to perform comprehensive technical analysis through the lens of the market profile in a fraction of the time! 🏆
A Market Profile is a charting technique devised by J. Peter Steidlmayer, a trader at the Chicago Board of Trade (CBOT), in the 1980's. He created it to gain a deeper understanding of market behavior and to analyze the auction process in financial markets. A market profile is used to analyze an auction using price, volume, and time to create a distribution-based view of trading activity. It organizes market data into a bell-curve-like structure, which reveals areas of value, balance, and imbalance.
💠 How is a Value Area Calculated?
A value area is a distribution of 68%-70% of the trading volume over a specific time interval, which represents one standard deviation above and below the point of control, which is the most highly traded level over that period.
The key reference points are as follows:
Value area low (VAL) - The lower boundary of a value area
Value area high (VAH) - The upper boundary of a value area
Point of Control (POC) - The price level at which the highest amount of a trading period's volume occurred
If we take the probability distribution of trading activity and flip it 90 degrees, the result is our Pristine Value Area!
Market Profile is our preferred method of technical analysis at Pristine Capital because it provides an objective and repeatable assessment of whether an asset is being accumulated or distributed by institutional investors. Market Profile levels work remarkably well for identifying areas of interest, because so many institutional trading algorithms have been programmed to use these levels since the 1980's!
The benefits of using Market Profile include better trade location, improved risk management, and enhanced market context. It helps traders differentiate between trending and consolidating markets, identify high-probability trade setups, and adjust their strategies based on whether the market is in balance (consolidation) or imbalance (trending). Unlike traditional indicators that rely on past price movements, Market Profile provides real-time insights into trader behavior, giving an edge to those who can interpret its nuances effectively.
Virgin Point of Control (VPOC) - A point of control from a previous time period that has not yet been revisited in subsequent periods. VPOCs are great for identifying prior supply or demand zones.
Below is a great example of price reversing lower after taking out an upside VPOC
💠 Are all POCs Created Equal?
If POCs are used to gauge supply & demand zones at key levels, then a POC with higher volume should be viewed as more significant than a POC that traded lower volume, right? We created Golden POCs as a tool to identify high volume POCs on all timeframes.
Golden POC (GPOC) - A POC that traded the highest volume compared to prior POCs (proprietary to Pristine Capital)
We calculate value areas for the following time intervals based on the user selected timeframe:
5 Minute and 15 Minute Timeframes -> Daily Value Area
The daily value area paints the distribution of the PRIOR session's trading activity. The "d" in the label references for VAHd, POCd and VALd is a visual cue that value area shown is daily.
1 Hour Timeframe -> Weekly Value Area
The weekly value area paints the distribution of the PRIOR week's trading activity. The "w" in the label references for VAHw, POCw and VALw is a visual cue that value area shown is weekly.
1 Day Timeframe -> Monthly Value Area
The monthly value area paints the distribution of the PRIOR month's trading activity. The "m" in the label references for VAHm, POCm and VALm is a visual cue that value area shown is monthly.
1 Week Timeframe -> Yearly Value Area
The yearly value area paints the distribution of the PRIOR year's trading activity. The "y" in the label references for VAHy, POCy and VALy is a visual cue that value area shown is yearly.
💠 What is a developing value area?
The developing value area provides insight into the upcoming value area while it is still forming! It appears when 80% of the way through the current value area. As the end of a trading period approaches, it can make sense to start trading off the developing value area. When the time period flips, the developing value area becomes the active value area!
💠 Value Areas Trading Setups
Two popular market profile concepts are the bullish and bearish 80% rules. The concept is that there is an 80% probability that the market will traverse the entire relevant value area.
Bullish 80% Rule - If a security opens a period below the value area low , and subsequently closes above it, the bullish 80% rule triggers, turning the value area green. One can trade for a move to the top of the value area, using a close below the value area low as a potential stop!
In the below example, HOOD triggered the bullish 80% rule after it reclaimed the monthly value area!
HOOD proceeded to rally through the monthly value area and beyond in subsequent trading sessions. Finding the first stocks to trigger the bullish 80% rule after a market correction is key for spotting the next market leaders!
Bearish 80% Rule - If a security opens a period above the value area high , and subsequently closes below it, the bearish 80% rule triggers, turning the value area red. One can trade for a move to the bottom of the value area, using a close above the value area high as a potential stop!
ES proceeded to follow through and test the value area low before trending below the weekly value area
Value Area Breakouts - When a security is inside of value, the auction is in balance. When it breaks out from a value area, it could be entering a period of price discovery. One can trade these breaks out of value with tight risk control by setting a stop inside the value area! These breakouts can be traded on all chart timeframes depending on the timeframe of the individual trader. Combining multiple timeframes can result in even more effective trading setups.
RBLX broke out from the monthly value area on 4/22/25👇
RBLX proceeded to rally +62.78% in 39 trading sessions following the monthly VAH breakout!
💠 Market Generated Information to Improve Your Situational Awareness!
In addition to the value areas, we've also included stat tables with useful market generated information. The stats displayed vary based on the timeframe the user has up on their screen. This incentivizes traders to check the chart on multiple timeframes before taking a trade!
Metrics Grouped By Use Case
Performance
▪ YTD α - YTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a year-to-date basis.
▪ MTD α - MTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a month-to-date basis.
▪ WTD α - WTD Alpha (α) measures the risk-adjusted, excess return of a security over its user defined benchmark, on a week-to-date basis.
▪ YTD %Δ - Year-to-date percent change in price
▪ MTD %Δ - Month-to-date percent change in price
▪ WTD %Δ - Week-to-date percent change in price
Volatility
▪ ATR % - The Average True Range (ATR) expressed as a percentage of an asset's price.
▪ Beta - Measures the price volatility of a security compared to the S&P 500 over the prior 5 years (since inception if 5 years of data is not available)
Risk Analysis
▪ LODx - Low-of-day extension - ATR % multiple from the low of day (measures how extended a stock is from its low of day)
▪ MAx - Moving average extension - ATR % multiple from the user-defined moving average (measures how extended a security is from its moving average). Default moving average = 50D SMA
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average. The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
💠 Trend Analysis
The Trend Analysis section consists of short-term and long-term stage analysis data as well as the value area timeframe and price in relation to the value area.
Stage Analysis
▪ ST ⇅ - Short-term stage analysis indicator
▪ LT ⇅ - Long-term stage analysis indicator
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
Value Area
In Trend Analysis, the value area information is helpful to gauge price in relation to the value area.
▪ VA(y) - Categorizes the security based on the relation of price to the yearly value area
▪ VA(m) - Categorizes the security based on the relation of price to the monthly value area
▪ VA(w) - Categorizes the security based on the relation of price to the weekly value area
Value area states:
▪ ABOVE = Price above the value area high
▪ BELOW = Price below the value area low
▪ INSIDE = Price inside the value area
▪ Bull 80% = Bullish 80% rule in effect
▪ Bear 80% rule = Bearish 80% rule in effect
For example, in the chart above, VA(m) - ABOVE indicates a monthly value area and price is above the VAH.
💠 What Makes This Indicator Unique
There are many value area indicators, however...
Value Area
▪ Golden POC (GPOC) - This is a proprietary concept.
▪ Unique Label Customization
Pristine value areas often comprehensive and unique label customizations. Styles include options to display any combination of the following on your labels:
• Price levels associated with market profile levels
• % distance of market profile levels from security price
• ATR% extension of market profile levels from security price
Multi-Timeframe Analysis
Based on the chart timeframe, unique market generated information is shown to facilitate multi-timeframe analysis.
▪ Weekly Timeframe
On the weekly timeframe the focus is the bigger picture and the metrics reflect this perspective. Performance data includes YTD Alpha and YTD percent change in price. Volatility is measured using ATR % and the industry standard beta. Trend analysis for this higher timeframe include the 52-week range, which measures where a security is trading in relation to its 52wk high and 52wk low. Also included is the where price is in relation to yearly value area.
▪ Daily Timeframe
As one drills down to the daily timeframe, the performance metrics include MTD alpha and MTD percent change in price.
Risk analysis includes the low-of-day extension (LODx), which is the ATR % multiple from the low of the day, to measures how extended a stock is from its low of day. In addition, the moving average extension (MAx) is the ATR % multiple from the user-defined moving average, measures how extended a security is from its
moving average. The default moving average is the 50D SMA, however this can be customized in Settings.
Trend Analysis on the daily timeframe includes the Pristine Capital methodology for classifying stocks into stages using moving averages. Both short-term and long-term stage analysis data is included. Finally, price in relation to monthly value area is shown.
▪ Hourly Timeframe
An the hourly timeframe, performance metrics include WTD alpha and WTD percent change in price. Trend analysis includes the daily closing range (DCR) and price in relation to weekly value area.
💠 Settings and Preferences
💠 Acknowledgements
We'd like to thank @dgtrd, a TradingView Pine Wizard, for his insight on the finer details when working with volume profiles.
Pristine Market Analysis DashboardThe Pristine Market Analysis indicator enables users to perform comprehensive top-down analysis of global risk assets in a fraction of the time! 🏆
Top-down analysis is important because the overall market environment has a significant impact on the success of individual trading setups.
💠 Market Analysis Insights
▪ Identify if money is flowing into equities, or equity alternatives like bonds,gold,and bitcoin
▪ Perform relative strength analysis of US vs International equities
▪ Identify rotation into risk-on or risk-off assets to determine overall market health
▪ Detect leading sectors to enable targeted stock screening, or to trade the ETFs themselves
💠 Market Analysis Metrics to Improve Your Situational Awareness!
▪ %Δ - 1-day percent change
▪ ATR Δ - 1-day percent change/ ATR %
▪ DCR - Daily closing range
▪ 52WR - Measures where a security is trading in relation to it’s 52wk high and 52wk low
▪ MAx - Measures how extended price is from a key moving average of your choosing in ATR% multiple terms
▪ ST ↑↓ (Short- Term Stage) - Measures the short-term trend using key moving averages of your choosing
▪ LT ↑↓ (Long-Term Stage) - Measures the long-term trend using key moving averages of your choosing
The indicator automatically sorts from greatest to least based on the %Δ column 👇
What is ATR?
The average true range (ATR) is a technical analysis indicator introduced by market technician J. Welles Wilder Jr. in his book New Concepts in Technical Trading Systems that measures security volatility by decomposing the entire range of an asset price for a time period.
Why do we use it?
Because converting price moves into ATR terms better contextualizes them relative to the asset's historical volatility!
Example: If the ATR is $2.50, it means the average price range each day is roughly $2.50.
We use an ATR length of 20 days in our calculation, and convert the 20D ATR into a 20D ATR %. The formula for ATR % is as follows:
ATR % = (ATR/Current Price) * 100
Why does MAx matter?
MAx measures the number of ATR % multiples a security is trading away from a key moving average.The default moving average length is 50 days.
MAx can be used to identify mean reversion trades . When a security trends strongly in one direction and moves significantly above or below its moving average, the price often tends to revert back toward the average.
Example, if the ATR % of the security is 5%, and the stock is trading 50% higher than the 50D SMA, the MAx would be 50%/5% = 10. A user might opt to take a countertrend trade when the MAx exceeds a predetermined level.
The MAx can also be useful when trading breakouts above or below the key moving average of your choosing. The lower the MAx, the tighter stop loss one can take if trading against that level.
Identifying an extreme price extension using MAx 👇
Price mean reverted immediately following the high MAx 👇
Why does 52WR matter?
Historical analysis conducted by market legends like William O’Neill and Mark Minervini indicates that stocks trading at or near 52wk highs tend to outperform over time, and vice versa for stocks trading close to 52wk lows. Avoiding stocks trading with a low 52WR metric can help traders avoid buying stocks in downtrends. Likewise, focusing on stocks trading with a high 52WR provides a technical edge.
💠 Stage Analysis Guide
Short-term and long-term stage analysis data is provided in the two rightmost columns of each table. The columns are labeled ST ⇅ and LT ⇅.
Why is Stage Analysis important? Popularized by Stan Weinstein, stage analysis is a trend following system that classifies assets into four stages based on price-trend analysis.
The problem? The interpretation of stage analysis is highly subjective. Based on the methodology provided in Stan Weinstein’s books, five different traders could look at the same chart, and come to different conclusions as to which stage the security is in!
We solved for this by creating our own methodology for classifying stocks into stages using moving averages. This indicator automates that analysis, and produces short-term and long-term trend signals based on user-defined key moving averages. You won’t find this in any textbook or course, because it’s completely unique to the Pristine trading methodology.
Our indicator calculates a short-term trend signal using two moving averages; a fast moving average, and a slow moving average. We default to the 10D EMA as the fast moving average & the 20D SMA as the slow moving average. A trend signal is generated based on where price is currently trading with respect to the fast moving average and the slow moving average. We use the signal to guide shorter-term swing trades.
In general, we want to take long trades in stocks with strengthening trends, and short trades in stocks with weakening trends. The user is free to change the moving averages based on their own short-term timeframe. Every trader is unique!
The same process is applied to calculate the long-term trend signal. We default to the 50D SMA as our fast moving average, and the 200D SMA as the slow moving average for the LT ⇅ signal calculation, but users can change these to fit their own unique trading style.
What is Stage 1?
Stage 1 identifies stocks that transitioned from downtrends, into bottoming bases.
Stage 1A - Bottom Signal: Marks the first day a security shows initial signs of recovery after a downtrend, with early indications of strength emerging.👇
Stage 1B - Bottoming Process: Identifies the ongoing phase where the security continues to stabilize and strengthen, confirming the base-building process after the initial signal.👇
Stage 1R - Failed Uptrend: Detects when a security that had entered an early uptrend loses momentum and slips back into a bottoming phase, signaling a failed breakout.👇
What is Stage 2?
Stage 2 identifies stocks that transitioned from bottoming bases to uptrends.
Stage 2A - Breakout: Marks the first day a security decisively breaks out, signaling the start of a new uptrend.👇
Stage 2B - Uptrend: Identifies when the security continues to trade in an established uptrend following the initial breakout, with momentum building but not yet showing full strength.👇
Stage 2C - Strong Uptrend: Detects when the uptrend strengthens further, with the security displaying clear signs of accelerating strength and buying pressure.👇
Stage 2R - Failed Breakdown: Detects when a security that had recently entered a corrective phase reverses course and reclaims its upward trajectory, moving back into an uptrend.👇
What is Stage 3?
Stage 3 identifies stocks that transitioned from uptrends to topping bases.
Stage 3A - Top Signal: Marks the first day a security shows initial signs of weakness after an uptrend, indicating the start of a potential topping phase.👇
Stage 3B - Topping Process: Identifies the period following the initial signal when the security continues to show signs of distribution and potential trend exhaustion.👇
Stage 3R - Failed Breakdown: Detects when a security that had entered a deeper corrective phase reverses upward, recovering enough strength to re-enter the topping phase.👇
What is Stage 4?
Stage 4 identifies stocks that transitioned from topping bases to downtrends.
Stage 4A - Breakdown: Marks the first day a security decisively breaks below key support levels, signaling the start of a new downward trend.👇
Stage 4B - Downtrend: Identifies when the security continues to trend lower following the initial breakdown, with sustained bearish momentum, though not yet fully entrenched.👇
Stage 4C - Strong Downtrend: Detects when the downtrend intensifies, with the security displaying clear signs of accelerating weakness and selling pressure.👇
Stage 4R - Failed Bottom: Detects when a security that had begun to show early signs of bottoming reverses course and resumes its decline, falling back into a downtrend.👇
Stage N/A - Recent IPO: Applies to stocks that recently IPO’ed and don’t have enough data to calculate all necessary moving averages.
💠 Historical Analysis
Users can leverage the Replay feature in TradingView to perform historical analysis and see how the overall configuration of global risk assets looked at key turning points in the market!
To perform historical analysis:
1) Show the chart if previously hidden (see Tips and Tricks).
2) Click the Replay button on the toolbar at the top of the chart.
3) Use the slider on the chart to select the bar to begin the analysis.
💠 Comprehensive Tooltips
Hover over header labels to get detailed information about the data and relevant calculations.
For stage analysis (Short Term and Long Term), the tooltips provide a complete key of all the relevant stages.
💠 Settings and Preferences
▪ Customize this script by setting preferred colors and thresholds.
▪ There are two tables that can be customized, one on each side of the chart. For each table you can configure the location and show/hide each table. You can also specify colors for header and row data, including your preferred text size.
▪ You can customize the moving averages that are used in stage analysis. Specify your preferred fast and slow moving averages for both short-term and long-term analysis.
▪ For the ATR extension, the default moving average is 50D SMA. You can choose the length and type (SMA or EMA) to align with your trading preferences.
💠 Tips and Tricks
▪ Hide/Show Chart:
To provide a clean backdrop for the tables, it can be helpful to hide the chart. Hover your mouse over the symbol information in the upper right. Select the "..." option and choose "Hide" option. Choose the option "Show" to see the chart details if hidden.
▪ Futures Outside Regular Trading Hours (RTH):
In order for the data in the “%Δ” column of the the “Equity Alternatives” table to populate correctly when outside of regular trading hours, you must have your chart displaying a futures contract. Examples: ES, NQ, RTY, GC.
Mongoose Conflict Risk Radar v1.1 (Separate Panel) description
The Mongoose Capital: Risk Rotation Index is a macro market sentiment tool designed to detect elevated risk conditions by aggregating signals across key asset classes.
This script evaluates trend strength across 8 ETFs representing major risk-on and risk-off flows:
GLD – Gold
VIXY – Volatility
TLT – Long-Term Bonds
SPY – S&P 500
UUP – U.S. Dollar Index
EEM – Emerging Markets
SLV – Silver
FXI – China Large-Cap
Each asset is assigned a binary signal based on price position vs. its 21-period SMA (or a crossover for bonds). The signals are then totaled into a composite Risk Rotation Score, plotted as a bar graph.
How to Use
0–2 = Low risk-on behavior
3–4 = Caution / Mixed regime
5–8 = Elevated conflict or macro stress
Use this as a macro confirmation layer for trend entries, risk reduction, or allocation shifts.
Alerts
Set alerts when the index exceeds 5 to track major rotations into defensive assets.
Liquidity Point LinesLiquidity Point Lines
The "Liquidity Point Lines" indicator helps traders identify potential areas of liquidity in the market by drawing lines at specific price levels where significant "liquidation events" may have occurred. These events are determined by analyzing the MACD Histogram and identifying pivot points that suggest strong movements, which are often associated with the flushing out of short or long positions.
How It Works
This indicator leverages the MACD Histogram to gauge the strength of price momentum. It then identifies pivot highs and lows within the MACD Histogram's values. When a significant pivot is detected, the indicator interprets this as a potential "liquidity point" — a price level where a substantial amount of buy or sell orders (often due to liquidations) may have been executed.
The indicator distinguishes between:
Shorts Liquidation Points (Resistance): These are identified when the MACD Histogram registers a pivot high, suggesting a strong upward movement that could have liquidated short positions. Lines are drawn at the high price of the bar where this pivot occurred.
Longs Liquidation Points (Support): Conversely, these are identified when the MACD Histogram registers a pivot low, indicating a strong downward movement that might have liquidated long positions. Lines are drawn at the low price of the bar where this pivot occurred.
Key Features and Settings
The "Liquidity Point Lines" indicator offers extensive customization to tailor its sensitivity and visual representation:
MACD Settings for Liquidity: Configure the underlying MACD calculation with adjustable Fast Length, Slow Length, Source, Signal Smoothing, and MA Types (SMA/EMA) for both the Oscillator and Signal Line.
Liquidity Points Settings:
Pivot Lookback Left/Right: Define the number of bars to look back on either side to identify a pivot in the MACD Histogram.
Dynamic Strength Thresholds: This powerful feature allows the indicator to dynamically calculate the significance of a liquidation event. When enabled, it uses the average absolute histogram value over a specified Dynamic Threshold Lookback Period and applies Small and Medium Threshold Factors to determine the strength (Small, Medium, or Large) of the liquidity point.
Fixed Strength Thresholds: If dynamic thresholds are disabled, you can set fixed numerical values for Small and Medium Histogram Thresholds to define the strength categories.
Color & Style Customization: Assign distinct colors for Small, Medium, and Large liquidation points, choose the Line Style (Solid, Dashed, Dotted), and set the Label Text Color.
Label X Offset (To Right): Adjust the horizontal position of the liquidity point labels on your chart.
Liquidity Points Management:
Max Active Liquidity Lines: Control the maximum number of liquidity lines displayed simultaneously on your chart. Older lines are automatically removed to maintain clarity, except for lines that have been "touched" (i.e., price has interacted with that liquidity level).
Visual Interpretation
Each liquidity line is colored according to the strength of the detected liquidation event, making it easy to visually assess the potential significance of the price level. Lines extend to the right, serving as ongoing reference points. When the price interacts with a liquidity line (i.e., "touches" it), the line and its corresponding label are removed, indicating that the liquidity at that level may have been absorbed.
This indicator can be a valuable tool for identifying potential support and resistance levels, understanding market reactions to "liquidation cascades," and informing your trading decisions.
True Close – Institutional Trading Sessions (Zeiierman)█ Overview
True Close – Institutional Trading Sessions (Zeiierman) is a professional-grade session mapping tool designed to help traders align with how institutions perceive the market’s true close. Unlike the textbook “daily close” used by retail traders, institutional desks often anchor their risk management, execution benchmarks, and exposure metrics to the first hour of the next session.
This indicator visualizes that logic directly on your chart — drawing session boxes, true close levels, and time-aligned labels across Sydney, Tokyo, London, and New York. It highlights the first hour of each session, projects the institutional closing price, and builds a live dashboard that tells you which sessions are active, which are in the critical opening phase, and what levels matter most right now.
More than just a visual tool, this indicator embeds institutional rhythm directly into your workflow — giving you a window into where big players finalize yesterday’s business, rebalance exposure, and execute delayed orders. It’s not just about painting sessions on your chart — it’s about adopting the mindset of those who truly move the market. Institutions don’t settle risk at the bell; they complete it in the next session. This tool lets you see that transition in real time, giving you an edge that goes beyond candles and indicators.
█ How It Works
⚪ Session Detection Engine
Each session is identified by its own time block (e.g., 09:00–17:30 for London). Once a session opens:
A full-session box is drawn to track its range.
The first hour is highlighted separately.
Once the first hour completes, the true close line is plotted, representing the price institutions often treat as the "real" close of the prior day.
⚪ Institutional True Close Logic
The script captures the close of the first hour, not the end of the day.
This line becomes a static reference across your chart, letting you visualize how price interacts with that institutional anchor:
Rejections from it show where yesterday's flow is respected.
Breaks through it may indicate that today's flows are rewriting the narrative.
⚪ Dynamic Dashboard Table
A live table appears in the corner of your screen, showing:
Each session's active status
Whether we’re inside the first hour
The current “true close” price if available
Each cell comes with advanced tooltips giving institutional context, flow dynamics, and market microstructure insights — from rebalancing spillovers to VWAP/TWAP lag effects.
█ How to Use
⚪ Use the First-Hour Line as Your Institutional Anchor
Treat it like the price level that big funds care about. Watch how the price behaves around level. Fades, re-tests, or continuation moves often occur as the market finishes recapping yesterday’s leftover orders.
⚪ Structure Entries Around the Session Context
Are you inside the first hour? Expect more volatility, more decisive flow. After the first session hour, expect fading liquidity as the market slows down and awaits the next session to open.
█ Settings
UTC Offset – Select your preferred time zone; all sessions adjust accordingly.
Session Toggles – Enable/disable Sydney, Tokyo, London, or NY.
Box Display Options – Show/hide session background, first-hour fill, borders.
True Close Line Controls – Enable line, label, and customize width & color.
Execution Hour Labels – Optional toggle for first-hour label placement.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
Carnival Absorption [by Oberlunar]Carnival Absorption of Oberlunar is a refined algorithmic lens, designed to expose the invisible forces that operate behind price movement. Much like a Carnival, where a mask conceals a deeper identity, this tool seeks out areas where the market disguises its true intent—volume absorption cloaked in stillness, pressure coiling beneath the surface, waiting to unmask.
At the core of the indicator are two phenomena: absorption and compression .
Absorption is defined as a localised spike in normalised volume relative to the candle’s range. This is measured using a dynamic z-score (sigma buy/sell), which quantifies the significance of the volume within its historical context. Only when this score exceeds a configurable threshold is the candle considered a potential site of meaningful activity—what one might call a “masked intention.”
But one candle is not enough. Divergence must occur.
Here, the heart of the detection logic lies in comparing price action to the Cumulative Volume Delta (CVD). If price makes a new high but CVD does not—or vice versa—it suggests a disconnect between what the market displays and what it internally processes. It is in this tension between form and substance that the signal is born.
When both high absorption and a valid divergence align, the area becomes a pending zone—a sort of unspoken potential. These zones are stored dynamically in memory arrays and clustered intelligently to avoid overlap and redundancy. Suppose price returns to that area within a specified time and range tolerance, confirming the original hypothesis. In that case, the mask drops: a box is drawn on the chart, accompanied by a confidence label that quantifies how closely the current price behavior matches the pending structure. The closer the price aligns with the heart of the original zone, the higher the confidence percentage is shown.
But the Carnival continues.
When a bullish absorption zone is followed by a bearish one (or vice versa), the indicator detects a compression. This is not a reversal signal, but a phase of coiled tension—a compression of opposing forces, visualized as a colored box stretching between the two zones. These compressions are not arbitrary: they emerge only when the distance between the two zones is statistically significant. Once confirmed, they are labeled with the transition type (“B→S” or “S→B”) and an associated confidence metric.
The visual behavior is fully customizable. Users can choose whether to display confirmed boxes, pending circles, labels, and adjust transparency and placement. Pending signals are marked with colored circles whose size and intensity reflect their statistical confidence—ranging from tiny to huge.
The entire visual system acts as a living map of pressure and potential.
— Oberlunar 👁️★
Ultimate_Priceaction_Tool for INTRADAY by Chaitu50cUltimate_Priceaction_Tool for INTRADAY by Chaitu50c
This indicator is crafted for intraday traders who rely on raw price action. It identifies support and resistance zones based on engulfing candle structures and 2-bar breakout formations. These patterns often signal meaningful reversals or momentum-based breakouts.
Key features:
• Real-time support and resistance zone detection
Uses green-to-red and red-to-green candle transitions where open and close levels align within a defined buffer. Also includes logic to capture two-bar breakout patterns that confirm directional conviction.
• Dynamic line behavior
Line width increases as the level holds for more bars, visually representing zone strength. Breakout buffers also expand with time to reduce false signals.
• Session-based resets
At the start of each new session, all zones reset automatically. This ensures only current, relevant intraday structures are shown, reducing clutter and improving focus.
• Dashed zone detection
Within the main high-low range, additional price levels are plotted as dashed lines when qualifying patterns appear. These zones are suppressed if similar ones already exist nearby.
• Fully customizable
Includes adjustable buffer range, breakout margin, dash suppression distance, line width control, and visual styling for both resistance and support zones.
Recommended usage:
This tool is optimized for the 1-minute and 5-minute timeframes. It is best suited for scalpers and intraday traders who depend on breakout reactions, pullback validation, and session structure shifts.
Use it to identify areas of interest, react to price action, and refine intraday decision-making with high precision.
Vera Support Resistance FinderVera Support & Resistance Zones is an educational technical analysis tool that automatically detects potential support and resistance levels based on pivot highs and lows.
Key Features:
Identifies support and resistance zones using pivot structures.
Marks previously broken levels and displays how many times each level has been broken. (This feature can be toggled on or off.)
Shows the distance from current price to each level with dynamic labels.
Groups nearby levels within a user-defined percentage range and shows how many points are merged into each zone. (This percentage is adjustable and the feature can be enabled/disabled.)
Optimization is possible through adjustable depth and level count parameters.
Each timeframe and each chart may require different settings. It’s recommended to adjust the depth, point count, and percentage settings depending on the structure of the asset and timeframe being analyzed.
Color Coding:
Green: Support
Red: Resistance
Navy Blue: Levels acting as both support and resistance
Important Note:
This indicator is developed for educational and visual assistance purposes only.
While it helps identify price reaction zones, manual drawing and validation are strongly recommended.
Since it works based on a defined algorithm, it may not capture critical levels as precisely as the human eye and experience can.
— Developer: C. İnanç ÖZYALIM | Dedicated to Vera 💜
Hull For LoopHull For Loop is a sophisticated trend-following indicator that combines the smoothness of Hull Moving Averages with advanced trend detection algorithms and robust confirmation mechanisms.
## How It Works
At its foundation, Hull For Loop employs a custom-calculated Hull Moving Average using weighted moving average for-loops to achieve optimal smoothness and responsiveness. The system operates through three distinct layers: Hull MA calculation with adjustable smoothing multipliers, advanced trend detection using ATR-based slope thresholds, and multi-bar trend confirmation to filter false breakouts.
The logic flow is elegantly simple yet powerful:
- Hull Calculation combines half-period and full-period weighted moving averages, then applies square-root smoothing for enhanced responsiveness
- Trend Detection analyzes Hull slope against dynamic ATR-based thresholds, classifying market direction as bullish, bearish, or neutral
- Confirmation System requires sustained directional movement across multiple bars before triggering signals, dramatically reducing whipsaws
When Hull slope exceeds the positive threshold, bullish conditions emerge. When it falls below the negative threshold, bearish momentum takes control. The multi-bar confirmation ensures only sustained moves generate actionable signals, making this system ideal for trend-following strategies across volatile markets.
The advanced slope analysis mechanism adapts to market volatility through ATR integration, ensuring sensitivity remains optimal during both high-volatility breakouts and low-volatility consolidations, delivering consistent performance across varying market conditions.
## Features
- Custom Hull Implementation : For-loop calculations for precise weighted moving average control and enhanced smoothness
- Dynamic Trend Detection : ATR-based slope analysis automatically adjusts sensitivity to market volatility conditions
- Multi-Bar Confirmation : Configurable confirmation periods (1-5 bars) eliminate false signals and reduce trading noise
- Advanced Visual System : Dynamic color coding, optional arrows, and statistics table for comprehensive market visualization
- Optimized for Bitcoin : Extensively backtested parameters delivering 128.58% returns with 55% drawdown reduction versus buy-and-hold
- Flexible Configuration : Hull length (1-200), smoothing multiplier (0.1-3.0), sensitivity (1-10), and confirmation settings
- Professional Alerts : Comprehensive alert system for trend changes and entry signals with strength percentages
- Real-time Analytics : Optional statistics table displaying trend direction, strength, Hull value, and current price
## Signal Generation
Hull For Loop generates multiple signal types for comprehensive trend analysis and precise entry/exit timing:
Primary Signals : Confirmed trend changes from bullish to bearish or vice versa - highest probability directional moves
Entry Signals : Initial trend confirmation after multi-bar validation - optimal position entry points
Strength Indicators : Real-time trend strength percentages based on directional momentum over lookback periods
Visual Confirmations : Color-coded Hull line providing instant visual trend status
The confirmation system adds crucial reliability - signals must persist through the specified confirmation period before activation, ensuring only sustained moves trigger trading decisions rather than temporary price fluctuations.
## Visual Implementation
The indicator employs sophisticated visual elements for immediate trend comprehension and professional chart presentation:
- Dynamic Hull Line : Color-changing line (green/red/gray) with configurable width reflecting current trend status
- Optional Directional Arrows : Triangle markers below/above bars marking confirmed trend changes and entry points (disabled by default)
- Statistics Panel : Optional real-time table showing trend direction, strength percentage, Hull value, and current price
- Professional Color Scheme : Customizable bullish (green), bearish (red), and neutral (gray) color system
## Alerts
Hull For Loop includes comprehensive alert conditions for automated trading integration:
- Hull Trend Change - Confirmed trend direction shift with strength percentage
- Hull BUY Signal - Bullish trend confirmation with price and strength data
- Hull SELL Signal - Bearish trend confirmation with price and strength data
- Alert Frequency - Once per bar to prevent spam while maintaining accuracy
All alerts include contextual information: trend direction, current price, and trend strength percentage for informed decision-making.
## Use Cases
Trend Following : Optimized for sustained directional moves with superior drawdown protection compared to buy-and-hold strategies
Swing Trading : Multi-bar confirmation eliminates false breakouts while capturing significant trend changes
Position Trading : Smooth Hull calculation provides stable signals for longer-term directional positioning
Risk Management : Advanced confirmation system dramatically reduces whipsaw trades and false signals
Crypto Trading : Specifically optimized for Bitcoin with parameters delivering exceptional historical performance
The system demonstrates exceptional performance across volatile assets.
Breakouts with Trailing Stops V6 + AlertsBreakouts with Trailing Stops in Trading
Breakout trading is a strategy where traders aim to profit from an asset's price moving outside a defined support or resistance level, signaling a potential new trend. Trailing stops are a key risk management tool often used with breakouts to protect profits and limit potential losses.
What is a breakout?
A breakout occurs when an asset's price moves decisively above a resistance level (for a bullish breakout) or below a support level (for a bearish breakdown). This often signals increased momentum and potential for a significant price movement in the direction of the breakout.
Why use trailing stops with breakouts?
Trailing stops are particularly useful in breakout trading because they allow traders to capture potential profits as the price moves in their favor, while automatically adjusting to protect against sudden reversals.
How do trailing stops work with breakouts?
Initial Stop-Loss: When entering a breakout trade, a traditional stop-loss order is placed at a predetermined level to limit potential losses if the price reverses. For example, in a long position after a resistance breakout, the initial stop-loss might be placed below the former resistance level (which can now act as support).
Trailing Stop Activation: Once the price moves a favorable distance beyond the entry point, the trailing stop loss is activated. As highlighted by StoneX, it is a dynamic order that follows the price as it continues to move in the desired direction, maintaining a set distance below (for a long position) or above (for a short position) the current market price.
Profit Locking: If the price continues to rise (or fall for a short position), the trailing stop will move with it, "locking in" profits by raising the stop-loss level.
Exit Strategy: If the price reverses and hits the trailing stop, the position is automatically closed, ensuring that the trader retains a portion of the gains made while in the trade.
Advantages of using trailing stops with breakouts:
Locks in profits: Trailing stops help protect profits generated from successful breakout trades.
Automates exits: They automate the exit process, helping traders avoid emotional decision-making when the price reverses.
Allows for potential gains: They allow traders to stay in profitable trades as long as the trend continues.
Disadvantages of using trailing stops with breakouts:
Whipsaw risk: In volatile markets, the trailing stop may be triggered prematurely by minor price fluctuations.
Potential for missed gains: If the trailing stop is set too tightly, it may prevent the trader from capturing the maximum potential gains if the price experiences a minor pullback before continuing in the desired direction.
Tips for using trailing stops with breakouts:
Consider the asset's volatility: Adjust the trailing stop distance based on the asset's volatility to minimize the risk of premature stops.
Test different trailing stop methods: Experiment with different trailing stop methods to find what works best for your trading style and the specific asset you are trading.
Backtest your strategy: Before applying a trailing stop strategy to live trading, backtest it on historical data to evaluate its performance under different market conditions.
Combine with other indicators: Use other technical indicators, such as volume or momentum oscillators, to confirm the validity of breakouts and improve the effectiveness of your trailing stop strategy.
By carefully considering the market dynamics, using appropriate indicators, and implementing proper risk management techniques, traders can effectively utilize trailing stops with breakouts to capture potential profits while minimizing risk.
Have a good trade.
LANZ Strategy 1.0 [Backtest]🔷 LANZ Strategy 1.0 — Time-Based Session Trading with Smart Reversal Logic and Risk-Controlled Limit Orders
This backtest version of LANZ Strategy 1.0 brings precision to session-based trading by using directional confirmation, pre-defined risk parameters, and limit orders that execute overnight. Designed for the 1-hour timeframe, it allows traders to evaluate the system with configurable SL, TP, and risk settings in a fully automated environment.
🧠 Core Strategy Logic:
1. Directional Confirmation at 18:00 NY:
At 18:00 NY, the system compares the 08:00 open vs the 18:00 close:
If the direction matches the previous day, the signal is reversed.
If the direction differs, the current day's trend is kept.
This logic is designed to avoid momentum exhaustion and capture corrective reversals.
2. Entry Level Definition:
Based on the confirmed direction:
For BUY, the Low of the day is used as Entry Point (EP).
For SELL, the High of the day becomes EP.
The system plots a Stop Loss and Take Profit based on user-defined pip inputs (default: SL = 18 pips, TP = 54 pips → RR 1:3).
3. Time-Limited Entry Execution (LIMIT Orders):
Orders are sent after 18:00 NY and can be triggered anytime between 18:00 and 08:00 NY.
If EP is not touched before 08:00, the order is automatically cancelled.
4. Manual Close Feature:
If the trade is still open at the configured hour (default 09:00 NY), the system closes all positions, simulating realistic intraday exit scenarios.
5. Lot Size Calculation Based on Risk:
Lot size is dynamically calculated using the account size, risk percentage, and SL distance.
This ensures consistent risk exposure regardless of market volatility.
⚙️ Step-by-Step Flow:
08:00 NY → Captures the open of the day.
18:00 NY → Confirms direction and defines EP, SL, and TP.
After 18:00 NY → If conditions are met, a LIMIT order is placed at EP.
Between 18:00–08:00 NY → If price touches EP, the trade is executed.
At 08:00 NY → If EP wasn’t touched, the order is cancelled.
At Configured Manual Close Time (default 09:00 NY) → All open positions are force-closed if still active.
🧪 Backtest Settings:
Timeframe: 1-hour only
Order Type: strategy.entry() with limit=
SL/TP Configurable: Yes, in pips
Risk Input: % of capital per trade
Manual Close Time: Fully adjustable (default 09:00 NY)
👨💻 Credits:
Developed by LANZ
Strategy logic and trading concept built with clarity and precision.
Code structure and documentation by Kairos, your AI trading assistant.
Designed for high-confidence execution and clean backtesting performance.
LANZ Strategy 1.0🔷 LANZ Strategy 1.0 — Session-Based Directional Logic with Visual Multi-Account Risk Management
LANZ Strategy 1.0 is a structured and disciplined trading strategy designed for the 1-hour timeframe, operating during the NY session and executing trades overnight. It uses the directional behavior between 08:00 and 18:00 New York time to define precise limit entries for the following night. Ideal for traders who prefer time-based execution, clear visuals, and professional risk management across multiple accounts.
🧠 Core Components:
1. Session Direction Confirmation:
At 18:00 NY, the system evaluates the market direction by comparing the open at 08:00 vs the close at 18:00:
If the direction matches the previous day, it is reversed.
If it differs, the current day’s direction is kept.
This logic is designed to avoid trend exhaustion and favor potential reversal opportunities.
2. EP Level & Risk Definition:
Once direction is defined:
For BUY, EP is set at the Low of the session.
For SELL, EP is set at the High of the session.
The system automatically plots:
SL fixed at 18 pips from EP
TP at 3.00× the risk → 54 pips from EP
All levels (EP, SL, TP) are shown with visual lines and price labels.
3. Time-Restricted Entry Execution:
The entry is only valid if price touches the EP between 19:00 and 08:00 NY.
If EP is not touched before 08:00 NY, the trade is automatically cancelled.
4. Multi-Account Lot Sizing:
Traders can configure up to five different accounts, each with its own capital and risk percentage.
The system calculates and displays the lot size per account, based on SL distance and pip value, in a dynamic floating label.
5. Outcome Tracking:
If TP is hit, a +3.00% profit label is displayed along with a congratulatory alert.
If SL is hit, a -1.00% label appears with a loss alert.
If the trade is still open by 09:00 NY, it is manually closed, and the result is shown as a percentage of the initial risk.
📊 Visual Features:
Custom-colored angle and guide lines.
Dynamic angle line starts at 08:00 NY and tracks price until 18:00.
Shaded backgrounds for key time zones (e.g., 08:00, 18:00, 19:00).
BUY/SELL signals shown at 19:00 based on match/divergence logic.
Label panel showing risk metrics and lot size for each active account.
⚙️ How It Works:
08:00 NY: Marks the session open and initiates a dynamic angle line.
18:00 NY: Evaluates the session direction and calculates EP/SL/TP based on outcome.
19:00 NY: Activates limit order monitoring.
During the night (until 08:00 NY): If EP is touched, the trade is triggered.
At 08:00 NY: If no touch occurred, trade is cancelled.
Overnight: TP/SL logic is enforced, showing percentage outcomes.
At 09:00 NY: If still open, trade is closed manually and result is labeled visually.
🔔 Alerts:
🚀 EP execution alert when touched
💢 Stop Loss hit alert
⚡ Take Profit hit alert
✅ Manual close at 09:00 NY with performance result
🔔 Daily reminder at 19:00 NY to configure and prepare the trade
📝 Notes:
Strategy is exclusive to the 1-hour timeframe.
Works best on assets with clean NY session movement.
Perfect for structured, semi-automated swing/overnight trading styles.
Fully visual, self-explanatory, and backtest-friendly.
👨💻 Credits:
Developed by LANZ
A strategy created with precision, discipline, and a vision for traders who value time-based entries, clean execution logic, and visual confidence on the chart.
Special thanks to Kairos — your AI assistant — for the detailed structure, scripting, and documentation of the strategy.
ORB IndicatorORB – Opening Range Breakout Strength (Applies to First 2 Bars Only)
The ORB (Opening Range Breakout) indicator is a momentum-based tool designed to highlight potential long trade opportunities during the first two candles of the regular trading session. It’s built to detect early strength by filtering for clean bullish price action and relative outperformance against a benchmark index.
🔍 Signal Criteria
A blue triangle is plotted at the close of the candle if the following conditions are met:
The candle is bullish (close > open)
The body makes up at least 60% of the total candle range
The candle occurs during the first or second bar after session start (default: 9:30 AM)
The candle shows greater range strength (in %) than a benchmark symbol (e.g., QQQ or SPY), scaled by a configurable multiplier
⚙️ Customizable Settings
Benchmark Ticker: Choose any symbol (default: NASDAQ:QQQ)
Range Multiplier: Adjust the strength threshold relative to the benchmark’s range
Session Start Time: Set the hour and minute to match your market’s open
📈 Features
Visual signal: blue triangle below the bar
Alert-ready: Get notified instantly when a valid ORB setup appears
Executes only at bar close to ensure confirmed signal
SMA Smooth Market Structure (Multi-Timeframe)SMA Market Structure (Multi-Timeframe) is a powerful tool for tracking structural price action, using simple moving averages across any higher timeframe (HTF). It blends Smart Money Concepts with clean swing logic to reveal trend shifts, breaks of structure, and supply/demand zones.
This indicator highlights key structure features:
• Break of Structure (BOS) – Automatic detection of bullish or bearish swing breaks
• Internal Shifts – Early clues that the market is building toward a reversal
• Liquidity Sweeps (LS) – Detects swing failures that may trap traders
• Zigzag Swing Lines – Cleanly connects swing highs and lows
• Dynamic Zones – Demand (green) and supply (red) blocks drawn from engulfing breakouts
How to Use:
• Set your preferred HTF (e.g. 1H on a 15m chart) to view structure in proper context and
adjust SMA to smooth out market structure for directional consistency
• Watch BOS lines and swing labels like HH, HL, LH, LL for directional clarity
• Use the MS (Market Shift) label to identify full reversals after internal shifts + BOS
• Demand/Supply zones mark areas of previous strength and will update or mitigate automatically
• Alerts notify you of every BOS, MS, HH, LL, and LS event — no need to monitor manually
Customization Features:
• Toggle visibility of market shift markers, internal shifts, and zones
• Choose how internal shifts are calculated (High/Low or Open)
• Customize line style, width, and colors for BOS and zigzag lines
• Control zone duration and how mitigated zones behave (fade or delete)
• Built-in safety for Pine Script’s history limits using smart offset caps
Best Use Tips:
• Combine with price action patterns or volume for confirmation
• MS + BOS + zone tap often marks a high-probability reversal setup
• Use it to align lower timeframe entries with higher timeframe structure
For traders who want structure clarity without clutter, this tool is built to keep your chart actionable and adaptive.
Dual Supertrend Pro|ask2maniishDual Supertrend | ask2maniish
🔍 Overview
The Dual Supertrend indicator overlays two distinct Supertrend layers (Main & Fast) to deliver enhanced trend detection, signal filtering, and trade management. It combines traditional ATR-based trend logic with an optional dynamic risk model and visual trade tracking tools — ideal for intraday scalping, swing trading, or institutional-style strategies.
⚙️ Key Features
🔁 Dual Supertrend Logic: Combines a Main and Fast Supertrend for multi-layer confirmation.
🧠 Smart Entry Signals: Generates buy/sell signals only when both layers agree (combined confirmation).
🎯 Dynamic Trade Management:
Entry/SL/Target logic using ATR.
Auto Breakeven, Trailing SL, and Exit after Target 3.
📊 Trade State Dashboard:
On-chart table showing live status, targets, and trade side.
Visual labels for entry, SL hit, and each target.
🧾 Tooltip for SL Settings: Detailed ATR configurations based on strategy style (Scalping, Swing, Institutional, etc.).
🧠 Use Cases
Strategy Type ATR Period Multiplier Notes
Conservative Trading 14 1.0 – 1.5× Balanced, avoids whipsaws, better R:R
Volatile Markets 21 1.5 – 2.5× For crypto, indices, strong trends
Intraday Scalping 5 – 10 0.5 – 1.0× Tighter SLs for rapid trades
Swing Trades 14 – 21 1.5 – 3.0× Handles spikes, rides long trends
Institutional Logic Dynamic 1.5× below OB SL below CHoCH or Order Block structure zones
You can view this tooltip in the Trade Management group inputs.
🧰 Inputs
📌 Supertrend (Main)
ATR Period
ATR Multiplier
ATR Method (SMA/True Range)
Signal Toggle
Highlight Toggle
⚡ Supertrend (Fast)
ATR Period (Shorter)
ATR Multiplier (Smaller)
ATR Method (SMA/True Range)
Signal Toggle
Highlight Toggle
🎯 Trade Management
SL & Target ATR Period
Target Multiplier
Auto Exit after Target 3
Entry/Exit Label Toggle
Target Hit Label Toggle
Show SL/Target Lines
🧮 Trend State Table
Location Selectable
Combined Trend Label: Strong Up 🔼 / Down 🔽 / Mixed ⚠️
📈 Signals & Alerts
Trigger alerts for all the following:
Main Supertrend Buy/Sell
Fast Supertrend Buy/Sell
Confirmed Combined Buy/Sell when both layers align
📊 Visualization
📉 Supertrend bands with optional background fill
✅ Entry label with trend direction
🎯 Target hit labels with color-coded levels
🧾 Trade Dashboard with real-time trade info
📌 Best Practices
Use combined signals (CB, CS) for filtered trend entries.
Adjust ATR multiplier based on market volatility.
Use in confluence with SMC, OB, or CHoCH zones for higher accuracy.
Enable trade table for real-time tracking of SL and targets.
👨💻 Credits
Script developed by @ask2maniish, with adaptive trade logic and dual-layer Supertrend logic optimized for precision entries and automated exits.
Squeeze & Breakout Confirmation StrategyThis strategy focuses on identifying periods of low volatility (Bollinger Band Squeeze) and then confirming the direction of the subsequent breakout with momentum, volume, and candle strength.
Concepts Applied: Bollinger Bands (Squeeze), RSI (Momentum), Market Volume (Conviction), Candle Size (Strength)
Buy Signal:
Bollinger Band Squeeze: Look for a period where the Bollinger Bands contract significantly, indicating low volatility and consolidation. The bands should be very close to the price action.
RSI Breakout: After the squeeze, wait for the price to break decisively above the upper Bollinger Band. Simultaneously, the RSI should break above 60 (or even 70), indicating strong bullish momentum.
Volume Surge: The breakout candle should be accompanied by a significant increase in trading volume, ideally above its recent average, confirming strong buying interest.
Strong Bullish Candle: The breakout candle itself should be a large, bullish candle (e.g., a strong green candle with a small upper wick or a bullish engulfing pattern), demonstrating buyer conviction.
Sell Signal (Short):
Bollinger Band Squeeze: Look for a period where the Bollinger Bands contract significantly.
RSI Breakdown: After the squeeze, wait for the price to break decisively below the lower Bollinger Band. Simultaneously, the RSI should break below 40 (or even 30), indicating strong bearish momentum.
Volume Surge: The breakdown candle should be accompanied by a significant increase in trading volume, ideally above its recent average, confirming strong selling interest.
Strong Bearish Candle: The breakdown candle itself should be a large, bearish candle (e.g., a strong red candle with a small lower wick or a bearish engulfing pattern), demonstrating seller conviction.
Trend Direction (OTC)Trend Direction (OTC)
Welcome, and thank you for your interest in the Trend Direction (OTC) indicator. This is a private, invite-only tool designed to provide a clear and objective view of market structure and trend dynamics.
Overview
The primary goal of Trend Direction (OTC) is to declutter your charts and help you visually identify the prevailing market trend through a sophisticated analysis of swing points. By automatically plotting key structural points in the market, it helps traders see the bigger picture and make more informed decisions based on classic price action principles.
This indicator is suitable for all markets (Forex, Crypto, Stocks, Indices) and works on any timeframe.
Features
Intelligent Swing Detection: Automatically identifies and plots significant market swing points.
Market Structure Labels (HH, LL, LH, HL): Get instant context on the trend's health. The indicator clearly labels swing points as Higher Highs (HH), Lower Lows (LL), Lower Highs (LH), and Higher Lows (HL), allowing you to see trend continuation and potential reversals at a glance.
Trend Dashboard: A simple, color-coded dashboard in the corner of your chart provides a real-time assessment of the trend, classifying it as "Confirmed," "Unconfirmed". This helps filter out market noise and provides an extra layer of confirmation.
Customizable Display: You have full control over the visual elements.
Adjust the sensitivity of the swing detection to focus on either short-term or long-term trends.
Toggle the visibility of trend lines and labels.
Limit the number of historical swings shown on the chart to keep your workspace clean.
Customize all colors to match your chart's theme.
How to Use
The Trend Direction (OTC) indicator is designed to be intuitive. Here’s a simple guide to interpreting its signals:
Identifying an Uptrend: Look for a consistent series of HH (Higher Highs) and HL (Higher Lows). The dashboard will likely show a "Bullish" status. A break of this pattern (e.g., the formation of an LH or LL) could signal a potential change in trend.
Identifying a Downtrend: Look for a consistent series of LH (Lower Highs) and LL (Lower Lows). The dashboard will likely show a "Bearish" status. A break of this pattern (e.g., the formation of an HL or HH) could signal that the downtrend is weakening.
Ranging or Choppy Markets: In sideways markets, you will see an alternating series of swings without clear direction. The dashboard will likely read "Neutral" or flip between "Unconfirmed" states. This can be useful for avoiding low-probability setups.
Settings
Swing Detection:
Pivot Lookback: The core setting for sensitivity. Higher values = less sensitive (major swings). Lower values = more sensitive (minor swings).
Display Options:
Show Swing Labels: Toggles the HH/LL/etc. labels.
Show Trend Lines: Toggles the zig-zag lines connecting the swings.
Show Last Swings: Set to 0 to see all historical swings, or enter a number to see only the most recent ones.
Color Settings: Customize the colors of all lines and labels to your preference.
Disclaimer: The Trend Direction (OTC) indicator is a tool for analysis and should not be considered financial advice. It is designed to assist in your trading decisions, not to make them for you. Always use proper risk management. Past performance is not indicative of future results.
