Trading Sessions [BigBeluga]
This indicator brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints — which often act as intraday support/resistance levels.
🔵 KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buy–sell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend — ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
🔵 USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range — it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
🔵 EXAMPLES
Extended Future Range acted as resistance/support.
Delta value helped confirm bullish pressure during New York open.
Multiple sessions helped identify kill zone overlaps and high-volume turns.
Trading Sessions is more than just a visual scheduler — it's a precision tool for traders who align with session-based volume dynamics and ICT methodology. Use it to define high-probability zones, confirm volume shifts, and read deeper into the true intent behind market structure.
النطاقات والقنوات
Hull MA with Support/Resistance📊 Combined Hull MA & Support/Resistance Indicator
🌟 Core Features Overview
This indicator integrates two powerful tools:
Hull Moving Average (Hull MA) - An optimized MA variant that reduces lag and closely follows price action.
Dynamic Support/Resistance System - Automatically identifies key price levels based on market structure.
Dual Advantage: Simultaneously identifies trends with Hull MA while pinpointing critical price zones for optimal entries.
⚙️ How It Works
Component Functionality Key Attributes Hull MA
- Trend identification
- Reversal signals via color changes - Low latency
- Color-coded (green/red) momentum
Support/Resistance - Key level detection
- Noise filtering via pivot points - Auto-adjusting
- Extended line visualization
📈 Practical Applications Trend Trading:
Buy when Hull MA turns green + price breaks Resistance
Sell when Hull MA turns red + price breaks Support
Breakout/Pullback Strategies:
Combine S/R breakouts with Hull MA slope for signal confirmation
Risk Management:
Place stop-loss orders beyond nearest S/R levels
⚡ Performance Optimization
Default Settings:
Hull MA: 16 periods (ideal for H1/D1 timeframes)
S/R: 1-bar pivot (short-term swing points)
Advanced Customization:
Increase Hull MA sensitivity by reducing periods
Widen S/R zones with Left/Right Bars >1
📌 Critical Notes
• Most effective in trending markets
• Recommended to combine with volume or RSI for confirmation
• Always backtest across multiple timeframes before live trading
💡 Pro Tip: Use Hull MA as primary trend filter - only trade when price retests S/R levels aligned with the MA's color.
Smart Zone Engine – Gnome Intelligence v3.4Smart Zone Engine – Gnome Intelligence v3.4 is an adaptive support & resistance strategy built on a “genome” metaphor that continually evolves to find the most reliable pivot zones. It overlays dynamic boxes on your chart, identifies key swing highs/lows, and then uses a grid‑based Gnome population—plus occasional Scout explorers—to optimize zone parameters (lookback, height multiplier, spacing) in real‑time.
Key Features
Grid‑Gnome Genome Engine
Initializes a fixed grid of Gnomes, each with its own lookback period, zone height factor and minimum spacing
Every mutationFreq bars, the highest‑XP Gnome spawns a mutated offspring to neighboring grid cells
Random “explorer” Gnomes occasionally try unoccupied cells to avoid local maxima
Scout Genome Layer
Up to maxScouts temporary Scouts enter the field every scoutFreq bars for rapid parameter testing
Scouts live for scoutLife bars; if one outperforms all regular Gnomes, it’s promoted to permanent status
Support/Resistance Zone Lifecycle
Detects pivots with dynamic height based on recent range and the dominant Gnome’s height multiplier
Creates color‑coded boxes (green = support, red = resistance) that extend zoneExtendBars bars forward
Tracks bounce counts; zones turn yellow after 10 respected bounces, then self‑delete once broken twice
Flip logic converts support → resistance (and vice versa) when price breaches and re‑bounces from the opposite side
Optional Debug Table
Toggle showGnomeDebug to display a top‑right table of each Gnome’s XP and score, color‑tagged if it’s a Scout
Performance & Parameter Plots
Four bottom‑panel plots for the dominant Gnome’s lookback, zone height factor, spacing and XP score
Enables you to see exactly how the genome engine is adapting over time
How to Use
Add “Smart Zone Engine – Gnome Intelligence v3.4” to your chart as a strategy or indicator.
Adjust inputs under the “Gnome Intelligence” section:
- maxZones – maximum simultaneous boxes
- mutationFreq, exploreChance – control evolutionary speed & exploration
- scoutFreq, scoutLife, maxScouts – tune the Scout testing layer
(Optional) Enable Show Gnome Debug Table to monitor each cell’s XP in real‑time.
Watch price interact with the colored zones—green for support, red for resistance—and observe flips and lifecycle changes.
Designed for advanced traders who want their S/R zones to self‑tune and adapt without manual parameter hunting, this strategy brings an evolutionary AI twist to classic pivot‑based zone detection. Adjust the genome settings to match your timeframe and let the Gnomes do the heavy lifting.
TRAMA - Trend Regularity Adaptive Moving AverageThe TRAMA Line is an advanced, adaptive moving average that adjusts its speed based on market volatility. It’s designed to react quickly to price momentum shifts while filtering out noise — making it perfect for scalping, intraday, and swing trading.
What Makes It Special:
📊 Adaptive Sensitivity: Speeds up during high momentum, slows down during consolidation.
🎯 More responsive than traditional EMAs or SMAs, giving early signals without excessive false alarms.
🔄 Works great as a dynamic trend filter — price staying above = uptrend, below = downtrend.
🧠 Based on price movement regularity, which helps detect clean pullbacks and trend continuations.
In Your Indicator:
TRAMA acts as the main trend line to detect:
Trend direction
Pullbacks
Reversals
Combined with MACD, RSI, and ATR, it helps determine whether a move is likely to continue or reverse.
Bitcoin Bayesian Fit with Residual HistogramTitle: Bayesian Bitcoin Power Law Indicator with Residuals Histogram
Description:
This Pine Script implements a sophisticated Bitcoin (BTC) price indicator based on a power-law relationship between BTC price and time, modeled using Bayesian regression. The indicator provides a robust framework for understanding BTC price trends, highlighting key statistical levels, and visualizing the bimodal nature of BTC price behavior through a residual distribution histogram.
Features:
Power Law Model with Confidence Levels:
Models BTC price as a power-law function of time using Bayesian regression, displaying the median trendline.
Includes multiple confidence intervals to reflect statistical uncertainty.
Plots a support power-law line, set at 2 standard deviations below the median trend, serving as a critical lower bound for price expectations.
Bimodal Residual Histogram:
Displays a histogram in a lower panel, illustrating the distribution of model residuals (difference between actual BTC price and the power-law model) over a default 100-day window (user-configurable).
Highlights the bimodal nature of BTC price behavior, with two distinct regimes:
Core Power Law: Represents periods (approximately 2 years) when BTC price closely follows the power-law trend, typically when below the median power-law line.
Turbulent Flow BTC: Captures periods when BTC price is above the median power-law line, exhibiting more chaotic, bull-run behavior.
The histogram provides a range of possible prices based on the observed residual distribution, aiding in probabilistic price forecasting.
Purpose:
This indicator is designed for traders and analysts seeking to understand BTC price dynamics through a statistically grounded power-law model. The confidence levels and support line offer clear benchmarks for trend and support analysis, while the bimodal histogram provides insight into whether BTC is in a stable "Core Power Law" phase or a volatile "Turbulent Flow" phase, enabling better decision-making based on market regime.
Usage Notes:
Use the histogram to determine whether BTC is in the Core Power Law (below the power-law trend) or Turbulent Flow (above the trend) regime to contextualize price behavior.
Adjust the residual window (default 100 days) to analyze different timeframes for the distribution.
The support power-law line (2 standard deviations below) serves as a critical level for identifying potential price floors.
Access: Invite-only. Contact the script author for access requests or further details. Also signup for 15 more power law indicators:
www.patreon.com
Candle Pattern Signals - Global Lowest/HighestForex Indicator – Precision Tool for Smarter Trading
Unlock the full potential of your trading strategy with this powerful Forex indicator. Designed to identify high-probability trade setups, it combines real-time price action analysis with advanced technical algorithms. Whether you're a scalper, swing trader, or trend follower, this tool provides clear entry and exit signals to boost your performance. Compatible with all major currency pairs and optimized for MetaTrader 4/5. Take your trading to the next level – trade smarter, not harder.
Ultimate Moving Average Crossover Indicator by SAMQUANT📈 Ultimate Moving Average Crossover Indicator | All-in-One MA Strategy
Unlock the power of multiple moving averages in one versatile indicator designed to give you clear, actionable signals in any market condition.
📌 Key Features:
- Supports **all major moving averages**:
- **SMA, EMA, WMA, HMA, RMA, DEMA, TEMA**, and more.
- Each MA is **fully customizable** with different lengths and types for ultimate flexibility.
- **Binary Long/Short signals** based on crossover logic—perfect for alerts, strategies, or discretionary trading.
- **Dynamic background coloring**:
- **Green** for bullish trends
- **Red** for bearish trends
Quickly gauge market direction at a glance.
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🚀 Why Use This Indicator?
✅ Combines the strength of all major MA types
✅ Customizable to fit any trading style—scalping, swing, or trend following
✅ Built-in alerts ready for your next trade
✅ Visually intuitive with built-in signal clarity
✅ Excellent tool for **confluence-based** strategies
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Great trades start with great tools. Clarity, precision, and flexibility—this indicator brings it all to your charts. Trade smarter, not harder.
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> ⚠️ **Disclaimer:**
This script is intended for **educational and informational purposes only**. It does not constitute financial advice. Past performance is not indicative of future results. Always practice sound risk management and test strategies thoroughly before using real capital.
My Trading Bot with 2R Take Profit- *Moving Averages*: It calculates two moving averages—a fast one (shorter period) and a slow one (longer period). When the fast moving average crosses above the slow moving average, it signals a potential long trade, and when it crosses below, it signals a short trade.
- *Risk Management*: The script incorporates a7 stop-loss and take-profit mechanism. The stop-loss is set at 1R (meaning 1% of the price), and the take-profit is set at 2R (double the risk distance). This ensures a risk-reward ratio of 1:2.
- *Trade Execution*: When a crossover or crossunder happens, the strategy opens trades accordingly and sets stop-loss/take-profit levels. Once the price reaches the stop-loss or take-profit, the trade automatically closes.
This foundational script provides a framework for automated trading, but it can be enhanced with additional filters, conditions, and adjustments to better fit your trading style.
Liquidity Fair Value Bands | QuantumResearch 🔹 Liquidity Fair Value Bands | QuantumResearch
A Dynamic Liquidity-Based Fair Value Model Using Volume-Weighted Linear Regression and Deviation Bands
📘 Overview
The Liquidity Fair Value Bands is a specialized volatility and valuation indicator designed to help traders identify dynamic fair value zones based on liquidity-adjusted price behavior. Unlike standard deviation bands or traditional moving averages, this tool integrates volume-weighted linear regression to estimate a fair value baseline — a more accurate representation of price equilibrium under active market participation.
This script is not a simple mashup of existing indicators. It introduces a novel concept by fusing the following elements:
📊 Volume-Weighted Linear Regression (VWLR) to determine the fair value baseline
📈 Standard Deviation Bands layered around this baseline to visualize statistically significant deviations
🔄 Trend Signals derived from slope direction and baseline crossover
🎨 Gradient-Based Visual Modes for enhanced readability
🚨 Built-in Alerts for overbought/oversold and trend breakout conditions
🧠 Concept & Calculation
🟩 1. Fair Value Baseline (Core Innovation)
The baseline is calculated using a volume weighted linear regression.
This formula ensures that higher-volume periods influence the regression line more heavily, offering a liquidity-aware estimate of what the asset is “really worth” based on market consensus.
A positive slope indicates a growing fair value — bullish environment
A negative slope signals declining fair value — bearish environment
📏 2. Deviation Bands
Three layers of symmetric deviation bands are plotted above and below the baseline, each representing a multiple of standard deviation (1σ, 2σ, 3σ) over the same lookback period:
Upper Bands highlight statistically significant overvaluation
Lower Bands indicate undervaluation and potential reversion zones
These zones are visualized using translucent color fills to help traders instantly interpret risk/reward conditions.
🔄 3. Trend Detection
Optionally, the indicator displays up/down arrows when the price crosses the fair value baseline and a new trend is forming:
✅ Uptrend: Price crosses above baseline and baseline slope increases
🔻 Downtrend: Price drops below baseline and slope declines
These dynamic signals allow you to react to trend reversals early, rather than waiting for lagging confirmation.
🎯 How to Use
This tool excels in trend-trading, mean reversion, and liquidity-based fair value analysis.
✅ Buy Zones: Price enters lower bands (e.g. -1σ to -3σ) during lower fair value zone
❌ Sell Zones: Price enters upper bands (e.g. +1σ to +3σ) during higher fair value
🕵️♂️ Fair Value Confirmation: Flat baseline in consolidating markets helps avoid chop
📈 Trend Entry: Use baseline crossovers and band inflections to time entries
⚙️ Customization Features
🔧 Adjustable regression length and offset
🎨 Eight visual modes for light/dark themes
🔔 Optional alerts for significant band breaches (1σ, 2σ, 3σ)
🟡 Toggle individual band visibility (1st, 2nd, 3rd) for cleaner UI
⚡ Optional trend signal arrows
🧪 Interpretation Example
If the current price trades 2+ standard deviations above the liquidity-based fair value line, it likely indicates:
A short-term overbought market
Potential for mean reversion
Or signal that a strong trend breakout is underway (confirm with slope direction)
✅ Why It’s Unique
This is not just a Bollinger Bands variant — it is a liquidity-aware fair value model with enhanced statistical depth. The baseline adapts to both price and volume, unlike simple moving averages that assume equal importance across all candles.
It combines three important market principles:
🎯 Price Action
🏦 Liquidity Weighting
📊 Volatility Analysis
All in one clean and visually intuitive script.
📢 Disclaimer
This indicator is for educational purposes only and is not financial advice. Always use additional confluence and proper risk management in your trading.
Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
TASC 2025.05 Trading The Channel█ OVERVIEW
This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles.
█ CONCEPTS
Linear regression
Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time.
The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions.
One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points.
Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities.
█ STRATEGY CALCULATIONS
Primary trade rules
This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article:
Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative.
Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel.
Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative.
Position sizing
Kaufman's strategy uses specific trade sizes for equities and futures markets:
For an equities symbol, the number of shares traded is $10,000 divided by the current price.
For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value.
By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input.
Stop-loss
This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection.
█ USAGE
This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input:
For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative.
When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average.
When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward.
When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed.
Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab:
Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward.
Period : Specifies the number of bars in the linear regression channel calculation. The default is 40.
Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close".
Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close".
Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range.
SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5.
Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto".
Long trades only : If selected, the strategy does not allow short positions. It is deselected by default.
Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default.
NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis.
Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
Attrition Scalper - MTF# Attrition Scalper MTF Update
## What's Changed
Compared to previous Attrition Scalper versions, the channel and lines are now calculated using multi-timeframe (MTF) confluence with weighted averages.
The indicator is updated to PineScript V6.
I've removed redundant logic, inefficient buy/sell and high/low signals, and linear regression calculations to create a cleaner, more streamlined version that's both easier to use and provides a better foundation for future developments.
Using these lines every day has quickly made me realize that one line in one timeframe is usually in confluence with another line in another timeframe, and that price zone is usually much more reliable as a proper support/resistance or a mean reversion scalp zone.
The new logic checks one timeframe lower and one timeframe higher than the current timeframe the user is viewing and performs a weighted average calculation of 0.618 × lower TF + 1.0 × current TF + 0.786 × higher TF before plotting the lines.
Timeframes higher than weekly or lower than 5 minutes don't use MTF and instead just show the normal lines and the channel for that single timeframe similar to previous Attrition Scalper V2.
## Understanding the Lines
The Attrition Scalper generates several key reference lines that can help identify trade opportunities:
### Primary Reference Lines
- **Middle VIDYA and EVWMA (Middle Band)**: Usually represents the "mean" or equilibrium price. Price tends to gravitate back to this area during consolidation.
- **Green/Red VIDYA Lines**: These color-changing lines are your higher priority/reliable support/resistance levels.
### Fibonacci Extension Lines
- **Blue Lower Fibonacci Lines (0.618, 1.618, 2.618)**: Secondary support/resistance zones. While less significant than the VIDYA lines, these still provide valuable reference points for potential bounces.
- **Yellow 4.236 Fibonacci Lines**: These represent significant price overextension. When price reaches or exceeds these levels, expect a mean reversion move soon. These are the highest trust lines.
## Trading Applications
### Overextension & Mean Reversion
When price pushes above/below the yellow 4.236 Fibonacci line:
- This indicates an overextended market condition
- Probability of mean reversion increases significantly
- Consider counter-trend positions back toward the middle band
- Set targets near the middle VIDYA/EVWMA lines
- Higher timeframes = Higher reliability
- Don't panic and trust the process
### Support & Resistance Trading
- **Primary S/R Zones (Green/Red VIDYA)**: These are your highest probability bounce/rejection points. Pay special attention when price approaches these levels, especially on the first test.
- **Secondary S/R Zones (Blue Fib Lines)**: Use these as supplementary confirmation or for tighter stop placement or basic entries/TPs when laddering in and out.
## Best Practices
1. **Wait for Candle Close**: Trading signals are most reliable after a candle has fully closed above/below significant lines. Don't just take an instant long/short position when price goes above/below the outer yellow 4.236 fib line; wait for confirmation and candle close. Don't be sad if you miss an opportunity just because you waited—it's better this way in the long run.
2. **Respect Momentum**: Don't fight strong momentum just because price reached a line; wait for signs of reversal. Price almost always retraces, but it can be a small retracement only to inside the channel instead of going all the way back to the mean if the market is trending, OR it can stay overextended for an extended period of time (usually few candles max though). Sudden spikes all the way to the overextended zone are almost always a better position to take as a mean reversion play compared to long drawn out single direction trends. Don't fight the trend; take very small quick scalps given the opportunity.
3. **Use Confirmation Combined with Volume**: Look for rejection candles, engulfing patterns, or double tops/bottoms at key levels before entering. Strong volume at key lines increases the probability of a meaningful reaction. For example, at the end of an uptrend, if you see the price has spiked and is now overextended (out of the channel and above all the lines) and you see volume also spiking, that's almost always the top, at least for a while.
5. **Consider Volatility**: During high volatility, price may overshoot lines a lot (although very rare) before reversing; be patient and wait for confirmation. It could also be a news event, so always check before entering a position.
Market Decoding Psychology V1.0This indicator is built to decode market psychology in real-time using adaptive trend and volatility logic.
It identifies operator zones (Buy/Sell) where smart money may be active, and plots precision-based reversal exit areas for profit booking.
🔍 Core Features:
Operator Buy & Sell Zones: Highlights possible institutional entry points based on custom logic — not EMA, RSI, or any off-the-shelf indicators.
Reversal-Based Exits: Shows profit booking signals only when psychological reversal patterns align with volume and volatility shifts.
Dynamic Candle Coloring: Visual trend alignment based on internal directional momentum.
Clean Visuals: Non-intrusive and optimized for discretional trade planning.
⚡ Real-Time Logic:
No Repaint — All signals are plotted live with final bar confirmation only.
Zero Lag — Built using leading price behavior and volatility combinations to avoid delayed signals.
One Trade Logic at a Time — Clearly defined entries and exits; no clutter.
Designed for traders who value clarity, timing, and institutional-grade logic — without overcomplication.
📌 This tool is meant for discretionary execution with real-time guidance, not auto backtesting or signal spamming.
⚠️ No part of this logic uses traditional indicators like MACD, RSI, or EMA crossover.
This system is rooted in price behavior and volatility modeling for modern intraday precision.
#norepaint #nolag #marketpsychology #smartmoney #priceaction #intradaystrategy #volatilityzones #protradingtools #reversalsignals #tradingviewindia
Imbalance Zones (FVG) - Volume Confirmed FVGs OnlyThis script identifies and visualizes bullish and bearish Fair Value Gaps (FVGs) on any chart using a strict three-candle formation rule—requiring three consecutive bullish or bearish candles. A bullish FVG is marked when the high from two candles ago is lower than the low of the current candle, while a bearish FVG is identified when the low from two candles ago is higher than the high of the current candle. Once an FVG is plotted, it is automatically deleted as soon as price re-enters the zone at any point in the future. This approach helps highlight clean, directional imbalances in price while eliminating outdated zones once liquidity has been filled. The script maintains a clutter-free chart and focuses only on active, relevant imbalances.
TripleTP Filter ProThis strategy is a sophisticated trading system that combines multiple technical indicators to identify entry and exit points in the market. Here are the key positives of the strategy without revealing the proprietary code details:
Strategy Strengths
Triple Take Profit Mechanism
Implements a well-structured take profit system with three distinct levels, allowing for partial profit taking at different price points. This helps maximize returns while keeping a portion of the position open for potential continued price movement.
Percentage-Based Position Sizing
Each take profit level can be configured with a specific percentage of the position, allowing for customized risk management.
Dual Confirmation System
Entry signals require confirmation from two separate technical indicators , reducing false signals and increasing reliability.
Smart Filtering
Uses advanced filtering techniques that adapt to market volatility, creating a responsive system that can work in different market conditions.
Directional Trend Detection
Incorporates trend detection that identifies whether the market is in an upward or downward movement, ensuring trades align with the prevailing direction.
Signal Reset Logic
Includes an option to wait for new signals after take profits are hit, preventing premature re-entry into potentially exhausted moves.
Time Window Configuration
Allows testing and execution within specific date ranges, useful for backtesting and performance analysis.
Adaptive Volatility Measurement
Uses multiple methods to assess market volatility including ATR, Average Change, and Standard Deviation.
The strategy demonstrates sophisticated market analysis techniques and thoughtful risk management principles, making it suitable for traders who want to capture profits at multiple levels while maintaining a disciplined approach to entries and exits.
Ultimate Volatility AnalyzerThis script uses volatility indicators to give directions of any asset. The moving average, price above long and short below. As the price comes out of the squeeze if the price is above the average it usually long and short below it. Very simple. When the average is going sideways stay out of the trade. Use with combination of other indicators but work well on its own. Use anytime frame you want.
Consolidation Zones + OI Change %The script finds consolidation zones (flats) on the chart and analyzes the behavior of the Open Interest during these zones to understand:
whether a position is being built up (OI growth - green),
or whether players are unloading/exiting (OI fall - red),
and gives visual and text signals when the range is broken.
Скрипт находит зоны консолидации (флеты) на графике и анализирует поведение открытого интереса (Open Interest) во время этих зон, чтобы понять:
идёт ли набор позиции (рост OI — зелёный),
или разгрузка / выход игроков (падение OI — красный),
и даёт визуальные и текстовые сигналы при пробое диапазона.
Trend Breakout [Uncle Sam Trading]Trend Breakout Indicator
Overview
The Trend Breakout Indicator is a powerful, non-repainting tool designed to help traders identify high-probability breakout and trend reversal setups on any market and timeframe. By leveraging pivot points, this indicator draws dynamic support and resistance channels, highlights counter-trend breakouts, and provides visual cues for market direction. It’s ideal for traders looking to simplify their analysis while targeting key price levels for entries and exits.
Key Features
Pivot-Based Channels: Draws a red upper channel (resistance) and a green lower channel (support) by connecting recent pivot highs and lows.
Counter-Trend Breakout Signals:
Blue “CT Breakup” signal (▲) when the price breaks above the upper channel during a downtrend, indicating a potential reversal or pullback.
Orange “CT Breakdown” signal (▼) when the price breaks below the lower channel during an uptrend, signaling a potential downmove.
Trend Visualization: Background color shifts to green for uptrends and red for downtrends, making it easy to gauge market direction.
Customizable Settings: Adjust pivot detection sensitivity with “Pivot Left Bars” (default: 5) and “Pivot Right Bars” (default: 1), and control channel extension with “Channel Extension Bars” (default: 50).
Optional Trend Signals: Enable “Show Trend Change Signals” to display trend shifts with green (uptrend) or red (downtrend) arrows.
Alert Conditions: Set alerts for counter-trend breakouts and trend changes directly on TradingView.
Example Performance (BTCUSDT, 1-Hour Chart)
On the BTCUSDT 1-hour chart:
A “CT Breakdown” signal appeared on April 6 at 8:00 AM at $82,700, followed by a drop to $74,400 within hours—a 10% move.
A “CT Breakup” signal occurred on April 9 at 1:00 AM at $76,600, leading to a rally to $86,600 in a few hours—a 9% gain.
These examples highlight the indicator’s ability to spot significant price movements, though results depend on market conditions, your trading style, and risk management.
Settings
Pivot Left Bars (default: 5): Number of bars to the left for pivot detection.
Pivot Right Bars (default: 1): Number of bars to the right for pivot confirmation (ensures non-repainting signals).
Channel Extension Bars (default: 50): How far the channels extend to the right.
Show Pivot Points (default: true): Displays small triangles at pivot highs (maroon) and lows (navy).
Show Counter-Trend Breakout Signals (default: true): Shows CT Breakup and CT Breakdown signals.
Show Trend Change Signals (default: false): Displays trend shift arrows when enabled.
How to Use
Add the indicator to your chart via TradingView’s indicator library.
Adjust the settings to match your trading style and timeframe.
Watch for “CT Breakup” and “CT Breakdown” signals to identify potential trade setups.
Use the background color (green/red) to confirm the current trend.
Set alerts for breakouts or trend changes to stay updated on key signals.
Always combine with proper risk management and your own analysis—past performance is not a guarantee of future results.
Notes
The indicator is non-repainting, meaning signals are confirmed and won’t disappear after they form.
Works on any market (crypto, forex, stocks) and timeframe, such as the BTCUSDT 1-hour chart shown.
Performance varies based on market volatility and your trading strategy.
This is a free tool created to support the TradingView community—feedback is welcome in the comments!
Disclaimer
Trading involves risk, and this indicator is not a guaranteed predictor of future price movements. Always conduct your own analysis and manage risk appropriately. The examples provided (e.g., BTCUSDT signals) are for educational purposes only and reflect past performance, which may not repeat.
HG StdDevThe HG StdDev indicator provides a dynamic view of market volatility by calculating the standard deviation of a selected price source over a customizable period. Additionally, it plots a threshold line representing the highest standard deviation over a secondary lookback window.
Red Line: Current standard deviation (volatility) of the price.
Gray Line: Highest standard deviation value within the lookback range, serving as a reference for recent peak volatility.
Use this tool to identify periods of increasing or extreme volatility, potential breakout zones, or to filter signals based on volatility thresholds.
Multiple VWMAMultiple VWMA 10,20,50,100,200. Eventually Indicator should be in line like 10>20>50>100>200. Crossing this indicator will help to know the price movement. preferable is 20 VWMA crossing 50 on either side give good movment upside or down side for short term.
Gap & Reversal Signals (Normal vs Heikin-Ashi)🔍 Gap & Reversal Signals (Normal vs Heikin-Ashi) — by
This script is designed to help traders identify key market signals by comparing Normal Candlestick Patterns with Heikin-Ashi values to highlight potential:
✅ Gap Up Opportunities (Strong Bullish Continuation)
🔻 Gap Down Alerts (Strong Bearish Continuation)
🔄 Bullish Reversal Zones (Possible Trend Reversal from Bearish to Bullish)
🔁 Bearish Reversal Zones (Possible Trend Reversal from Bullish to Bearish)
🧠 How it Works:
Gap Up: Normal candle is bullish, Heikin-Ashi is also bullish, and price closes higher than the HA close.
Gap Down: Normal candle is bearish, Heikin-Ashi is also bearish, and price closes lower than the HA close.
Bullish Reversal: Normal candle is bullish, but Heikin-Ashi shows bearish — potential reversal signal.
Bearish Reversal: Normal candle is bearish, but Heikin-Ashi shows bullish — potential reversal signal.
📊 Plot Details:
💚 Gap Up → Green Label Below Bar
❤️ Gap Down → Red Label Above Bar
💙 Bullish Reversal → Blue Label Below Bar
🧡 Bearish Reversal → Orange Label Above Bar
🚀 Use Cases:
Swing and positional traders looking for high-probability reversal setups
Intraday traders spotting early momentum shifts
Backtesters combining HA + candlestick logic for more robust strategies
MACD"In the true spirit of TradingView, the creator of this script has open-sourced it so traders can inspect and verify its functionality. Hats off to the author! While you're free to use it, remember that republishing code must comply with our site's rules."
Moving average with different timeThis script allowing you to plot up to 6 different types of moving averages (MAs) on the chart, each with customizable parameters such as type, length, source, color, and timeframe. It also allows you to set different timeframes for each moving average.
Key Features:
Multiple Moving Averages: You can add up to 6 different moving averages to your chart.
Each MA can be one of the following types: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Custom Timeframes: Each moving average can be applied to a specific timeframe, giving you flexibility to compare different periods (e.g., a 50-period moving average on the 1-hour chart and a 200-period moving average on the 4-hour chart).
Customizable Inputs:
Type: Choose between SMA, EMA, SMMA, WMA, or VWMA for each MA.
Source: You can select the price data source (e.g., close, open, high, low).
Length: Set the number of periods (length) for each moving average.
Color: Each moving average can be assigned a specific color.
Timeframe: Customize the timeframe for each moving average individually (e.g., MA1 on 15-minute, MA2 on 1-hour).
User Interface:
The script includes a data window display for each moving average, allowing you to control whether to show each MA and configure its settings directly from the settings menu.
Flexible Use:
Toggle individual moving averages on and off with the show checkbox for each MA.
Customize each MA's parameters without affecting others.
Parameters:
MA Type: You can choose between different moving averages (SMA, EMA, etc.).
Source: Price data used for calculating the moving average (e.g., close, open, etc.).
Length: Defines the period (number of bars) for each moving average.
Color: Change the line color for each moving average for better visualization.
Timeframe: Set a different timeframe for each moving average (e.g., 1-day MA vs. 1-week MA).
Example Use Case:
You might use this indicator to track short-term, medium-term, and long-term trends by adding multiple MAs with different lengths and timeframes. For example:
MA1 (20-period) might be an SMA on a 1-hour chart.
MA2 (50-period) might be an EMA on a 4-hour chart.
MA3 (100-period) might be a WMA on a daily chart.
This setup allows you to visually track the market's behavior across different timeframes and better identify trends, crossovers, and other patterns.
How to Customize:
Show/Hide MAs: Enable or disable each moving average from the input menu.
Modify Parameters: Change the MA type, source, length, and color for each individual moving average.
Timeframes: Set different timeframes for each moving average for more detailed analysis.
With this Moving Average Ribbon, you get a versatile and visually rich tool to aid in technical analysis.
90-Day Beta to BTCOverview:
The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC.
How It Works:
This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days.
Beta > 1: The token is more volatile than Bitcoin, showing higher price swings.
Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility.
Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations.
Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price.
Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship.
Use Case:
This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer.
In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market.
Visual Representation:
The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
