HEMA Trend Levels [AlgoAlpha]OVERVIEW
This script plots two Hull-EMA (HEMA) curves to define a color-coded dynamic trend zone and generate context-aware breakout levels, allowing traders to easily visualize prevailing momentum and identify high-probability breakout retests. The script blends smoothed price tracking with conditional box plotting, delivering both trend-following and mean-reversion signals within one system. It is designed to be simple to read visually while offering nuanced trend shifts and test confirmations.
█ CONCEPTS
The Hull-EMA (HEMA) is a hybrid moving average combining the responsiveness of short EMAs with the smoothness of longer ones. It applies layered smoothing: first by subtracting a full EMA from a half-length EMA (doubling the short EMA's weight), and then by smoothing the result again with the square root of the original length. This process reduces lag while maintaining clarity in direction changes. In this script, two HEMAs—fast and slow—are used to define the trend structure and trigger events when they cross. These crossovers generate "trend shift boxes"—temporary support or resistance zones drawn immediately after trend transitions—to detect price retests in the new direction. When price cleanly retests these levels, the script marks them as confirmations with triangle symbols, helping traders isolate better continuation setups. Color-coded bars further enhance visual interpretation: bullish bars when price is above both HEMAs, bearish when below, and neutral (gray) when indecisive.
█ FEATURES
Bullish and bearish bar coloring based on price and HEMA alignment.
Box plotting at each crossover (bullish or bearish) to create short-term decision zones.
Real-time test detection: price must cleanly test and bounce from box levels to be considered valid.
Multiple alert conditions: crossover alerts, test alerts, and trend continuation alerts.
█ USAGE
Use this indicator on any time frame and asset. Adjust HEMA lengths to match your trading style—shorter lengths for scalping or intraday, longer for swing trading. The shaded area between HEMAs helps visually define the current trend. Watch for crossovers: a bullish crossover plots a green support box just below price, and a bearish one plots a red resistance box just above. These zones act as short-term decision points. When price returns to test a box and confirms with strong rejection (e.g., closes above for bullish or below for bearish), a triangle symbol is plotted. These tests can signal strong trend continuation. For traders looking for clean entries, combining the crossover with a successful retest improves reliability. Alerts can be enabled for all key signals: trend shift, test confirmations, and continuation conditions, making it suitable for automated setups or discretionary traders tracking multiple charts.
Indicators and strategies
Trendline Breaks with Multi Fibonacci Supertrend StrategyTMFS Strategy: Advanced Trendline Breakouts with Multi-Fibonacci Supertrend
Elevate your algorithmic trading with institutional-grade signal confluence
Strategy Genesis & Evolution
This advanced trading system represents the culmination of a personal research journey, evolving from my custom " Multi Fibonacci Supertrend with Signals " indicator into a comprehensive trading strategy. Built upon the exceptional trendline detection methodology pioneered by LuxAlgo in their " Trendlines with Breaks " indicator, I've engineered a systematic framework that integrates multiple technical factors into a cohesive trading system.
Core Fibonacci Principles
At the heart of this strategy lies the Fibonacci sequence application to volatility measurement:
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval = 0.01, step = 0.01)
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval = 0.01, step = 0.01)
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval = 0.01, step = 0.01)
These precise Fibonacci ratios create a dynamic volatility envelope that adapts to changing market conditions while maintaining mathematical harmony with natural price movements.
Dynamic Trendline Detection
The strategy incorporates LuxAlgo's pioneering approach to trendline detection:
// Pivotal swing detection (inspired by LuxAlgo)
pivot_high = ta.pivothigh(swing_length, swing_length)
pivot_low = ta.pivotlow(swing_length, swing_length)
// Dynamic slope calculation using ATR
slope = atr_value / swing_length * atr_multiplier
// Update trendlines based on pivot detection
if bool(pivot_high)
upper_slope := slope
upper_trendline := pivot_high
else
upper_trendline := nz(upper_trendline) - nz(upper_slope)
This adaptive trendline approach automatically identifies key structural market boundaries, adjusting in real-time to evolving chart patterns.
Breakout State Management
The strategy implements sophisticated state tracking for breakout detection:
// Track breakouts with state variables
var int upper_breakout_state = 0
var int lower_breakout_state = 0
// Update breakout state when price crosses trendlines
upper_breakout_state := bool(pivot_high) ? 0 : close > upper_trendline ? 1 : upper_breakout_state
lower_breakout_state := bool(pivot_low) ? 0 : close < lower_trendline ? 1 : lower_breakout_state
// Detect new breakouts (state transitions)
bool new_upper_breakout = upper_breakout_state > upper_breakout_state
bool new_lower_breakout = lower_breakout_state > lower_breakout_state
This state-based approach enables precise identification of the exact moment when price breaks through a significant trendline.
Multi-Factor Signal Confluence
Entry signals require confirmation from multiple technical factors:
// Define entry conditions with multi-factor confluence
long_entry_condition = enable_long_positions and
upper_breakout_state > upper_breakout_state and // New trendline breakout
di_plus > di_minus and // Bullish DMI confirmation
close > smoothed_trend // Price above Supertrend envelope
// Execute trades only with full confirmation
if long_entry_condition
strategy.entry('L', strategy.long, comment = "LONG")
This strict requirement for confluence significantly reduces false signals and improves the quality of trade entries.
Advanced Risk Management
The strategy includes sophisticated risk controls with multiple methodologies:
// Calculate stop loss based on selected method
get_long_stop_loss_price(base_price) =>
switch stop_loss_method
'PERC' => base_price * (1 - long_stop_loss_percent)
'ATR' => base_price - long_stop_loss_atr_multiplier * entry_atr
'RR' => base_price - (get_long_take_profit_price() - base_price) / long_risk_reward_ratio
=> na
// Implement trailing functionality
strategy.exit(
id = 'Long Take Profit / Stop Loss',
from_entry = 'L',
qty_percent = take_profit_quantity_percent,
limit = trailing_take_profit_enabled ? na : long_take_profit_price,
stop = long_stop_loss_price,
trail_price = trailing_take_profit_enabled ? long_take_profit_price : na,
trail_offset = trailing_take_profit_enabled ? long_trailing_tp_step_ticks : na,
comment = "TP/SL Triggered"
)
This flexible approach adapts to varying market conditions while providing comprehensive downside protection.
Performance Characteristics
Rigorous backtesting demonstrates exceptional capital appreciation potential with impressive risk-adjusted metrics:
Remarkable total return profile (1,517%+)
Strong Sortino ratio (3.691) indicating superior downside risk control
Profit factor of 1.924 across all trades (2.153 for long positions)
Win rate exceeding 35% with balanced distribution across varied market conditions
Institutional Considerations
The strategy architecture addresses execution complexities faced by institutional participants with temporal filtering and date-range capabilities:
// Time Filter settings with flexible timezone support
import jason5480/time_filters/5 as time_filter
src_timezone = input.string(defval = 'Exchange', title = 'Source Timezone')
dst_timezone = input.string(defval = 'Exchange', title = 'Destination Timezone')
// Date range filtering for precise execution windows
use_from_date = input.bool(defval = true, title = 'Enable Start Date')
from_date = input.time(defval = timestamp('01 Jan 2022 00:00'), title = 'Start Date')
// Validate trading permission based on temporal constraints
date_filter_approved = time_filter.is_in_date_range(
use_from_date, from_date, use_to_date, to_date, src_timezone, dst_timezone
)
These capabilities enable precise execution timing and market session optimization critical for larger market participants.
Acknowledgments
Special thanks to LuxAlgo for the pioneering work on trendline detection and breakout identification that inspired elements of this strategy. Their innovative approach to technical analysis provided a valuable foundation upon which I could build my Fibonacci-based methodology.
This strategy is shared under the same Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license as LuxAlgo's original work.
Past performance is not indicative of future results. Conduct thorough analysis before implementing any algorithmic strategy.
SMC + SMT DivergenceMost code taken from LuxAlgo
The SMC & SMT Divergences indicator is a powerful tool designed for traders utilizing Smart Money Concepts (SMC) and ICT (Inner Circle Trader) methodologies. It identifies key market structure shifts such as Break of Structure (BOS) and Change of Character (CHoCH), helping traders spot trend reversals and continuations. The indicator also highlights order blocks (OBs), fair value gaps (FVGs), and liquidity zones like equal highs and lows, which are critical areas for institutional trading activity. Additionally, it incorporates SMT (Smart Money Tool) divergences, allowing traders to detect intermarket discrepancies between correlated assets, further refining trade entries and exits. With its ability to visualize institutional footprints and key price levels, this indicator is an essential tool for traders seeking to align their strategies with smart money movements.
Momentum Based RSIThe Momentum Based RSI is an enhancement to the RSI. it incorporates 2 sections:
MA Ratio (Fast/Slow)
RSI
at the end both of those are multiplied to create a more responsive RSI which reacts fast to market moves while still providing a whip ressistant tool.
Momentum Calculation
The "MA Ratio" as i like to call it results from comparing 2 MAs (both can be set to whatever type you like) against eachother, which, in the end, provides a Ratio that visualizes the difference. It is simple yet effective
RSI
An Old yet popular tool which dates back to 1978. In and out of itself it is a great tool, however it still can be enhanced.
The Combination
The RSI and the MARatio are multiplied together, which results in an RSI that is ampliefied by the speed of the market movements.
This proves highly effective, since the MA Ratio is hovering around at the same level. However during trends, it picks up speed in either of both directions which marginally increases the RSI's response the said movement.
Why its Creative, New and Good
While it is a super simple concept, it still holds a lot of power relative to its sophistication. Traders may use it like they used the Vanilla RSI (e.g Trend following, Mean-reversion or other).
Unlike RSI with momentum overlays, this indicator actively uses an MA Ratio multiplier for simplicity and responsiveness.
At last, Its primary goal is to detect trends faster while not creating more noise & false signals.
What not to do
if youre using this indicator, please do NOT change the Fast MA to be slower than to Slow MA or vice versa, since you'll be getting broken & noise induced signals which may not align with your goals.
Great inventions require great Care
As with anything, you should not use this tool without any other confluence. As great as the backtests may be, you dont know what the future holds, be careful!
This indicator is not a guaranteed predicition tool. If youre going to use it for investment decisions, please use it in coherence with other tools.
Thank you for reading!
Edge Explorer by VivekEdge Explorer by Vivek: Comprehensive Multi-Feature Trading Indicator.
Edge Explorer is a versatile and robust trading indicator offering advanced tools for technical analysis. This all-in-one script seamlessly integrates pivotal trading strategies, empowering traders to identify critical levels, supply and demand zones, and pivot points with ease. By delivering insights into market trends and price movements, Edge Explorer enhances precision and decision-making. With customizable settings and clear visualizations, it’s the ultimate tool for maximizing trading efficiency and strategy
🔑 Core Features:
Camarilla Pivot Points: Calculates and plots key support and resistance levels using the Camarilla method.
Central Pivot Range (CPR): Visualizes the crucial Central Pivot Range (TC, PP, BC) to identify trend reversals and breakout zones.
PEMA (Progressive EMA): Displays Fast, Middle, and Slow Exponential Moving Averages with trend-based coloring and fill.
VWAP (Volume Weighted Average Price): Displays Fast, Middle, and Slow Exponential Moving Averages with trend-ased coloring and fill.
Supertrend Indicator: Employs ATR-based calculations to identify uptrends and downtrends dynamically.
Hull Suite: Displays buy and sell signals based on Hull MA's slope changes.
Supply & Demand Zones: Automatically identifies key support and resistance zones based on market structure. Highlights broken zones for actionable insights with alert conditions.
Multi-Timeframe Options: Flexible timeframe settings, including Daily, Weekly, Monthly, Quarterly, and custom multi-year intervals.
🎯 Why Use Edge Explorer?:
Streamlined visualization of essential levels and trends.
Combines various trading tools into a single, user-friendly indicator.
Customizable inputs and alerts to suit individual trading styles.
📊 How to Use:
Add Edge Explorer by Vivek to your TradingView chart and configure the settings to your preferences.
Utilize the Camarilla pivots, CPR, and Supply/Demand Zones for precise entry and exit points.
Monitor the Supertrend, Hull Suite, and PEMA for trend confirmation and dynamic signals.
Take advantage of VWAP to track intraday price action with volume influence.
Dynamic Heat Levels [BigBeluga]This indicator visualizes dynamic support and resistance levels with an adaptive heatmap effect. It helps traders identify key price interaction zones and potential mean reversion opportunities by displaying multiple levels that react to price movement.
🔵Key Features:
Multi-Level Heatmap Channel:
- The indicator plots multiple dynamic levels forming a structured channel.
- Each level represents a historical price interaction zone, helping traders identify critical areas.
- The channel expands or contracts based on market conditions, adapting dynamically to price movements.
Heatmap-Based Strength Indication:
- Levels change in transparency and color intensity based on price interactions for the length period .
- The more frequently price interacts with a level, the more visible and intense the color becomes.
- When a level reaches a threshold (count > 10), it starts to turn red, signaling a high-heat zone with significant price activity.
🔵Usage:
Support & Resistance Analysis: Identify price levels where the market frequently interacts, making them strong areas for trade decisions.
Heatmap Strength Assessment: More intense red levels indicate areas with heavy price activity, useful for detecting key liquidity zones.
Dynamic Heat Levels is a powerful tool for traders looking to analyze price interaction zones with a heatmap effect. It offers a structured visualization of market dynamics, allowing traders to gauge the significance of key levels and detect mean reversion setups effectively.
Multi-Fibonacci Trend Average[FibonacciFlux]Multi-Fibonacci Trend Average (MFTA): An Institutional-Grade Trend Confluence Indicator for Discerning Market Participants
My original indicator/Strategy:
Engineered for the sophisticated demands of institutional and advanced traders, the Multi-Fibonacci Trend Average (MFTA) indicator represents a paradigm shift in technical analysis. This meticulously crafted tool is designed to furnish high-definition trend signals within the complexities of modern financial markets. Anchored in the rigorous principles of Fibonacci ratios and augmented by advanced averaging methodologies, MFTA delivers a granular perspective on trend dynamics. Its integration of Multi-Timeframe (MTF) filters provides unparalleled signal robustness, empowering strategic decision-making with a heightened degree of confidence.
MFTA indicator on BTCUSDT 15min chart with 1min RSI and MACD filters enabled. Note the refined signal generation with reduced noise.
MFTA indicator on BTCUSDT 15min chart without MTF filters. While capturing more potential trading opportunities, it also generates a higher frequency of signals, including potential false positives.
Core Innovation: Proprietary Fibonacci-Enhanced Supertrend Averaging Engine
The MFTA indicator’s core innovation lies in its proprietary implementation of Supertrend analysis, strategically fortified by Fibonacci ratios to construct a truly dynamic volatility envelope. Departing from conventional Supertrend methodologies, MFTA autonomously computes not one, but three distinct Supertrend lines. Each of these lines is uniquely parameterized by a specific Fibonacci factor: 0.618 (Weak), 1.618 (Medium/Golden Ratio), and 2.618 (Strong/Extended Fibonacci).
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval=0.01, step=0.01, tooltip='Factor 1 (Weak/Fibonacci)', group="Fibonacci Supertrend")
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval=0.01, step=0.01, tooltip='Factor 2 (Medium/Golden Ratio)', group="Fibonacci Supertrend")
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval=0.01, step=0.01, tooltip='Factor 3 (Strong/Extended Fib)', group="Fibonacci Supertrend")
This multi-faceted architecture adeptly captures a spectrum of market volatility sensitivities, ensuring a comprehensive assessment of prevailing conditions. Subsequently, the indicator algorithmically synthesizes these disparate Supertrend lines through arithmetic averaging. To achieve optimal signal fidelity and mitigate inherent market noise, this composite average is further refined utilizing an Exponential Moving Average (EMA).
// Calculate average of the three supertends and a smoothed version
superlength = input.int(21, 'Smoothing Length', tooltip='Smoothing Length for Average Supertrend', group="Fibonacci Supertrend")
average_trend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_trend = ta.ema(average_trend, superlength)
The resultant ‘Smoothed Trend’ line emerges as a remarkably responsive yet stable trend demarcation, offering demonstrably superior clarity and precision compared to singular Supertrend implementations, particularly within the turbulent dynamics of high-volatility markets.
Elevated Signal Confluence: Integrated Multi-Timeframe (MTF) Validation Suite
MFTA transcends the limitations of conventional trend indicators by incorporating an advanced suite of three independent MTF filters: RSI, MACD, and Volume. These filters function as sophisticated validation protocols, rigorously ensuring that only signals exhibiting a confluence of high-probability factors are brought to the forefront.
1. Granular Lower Timeframe RSI Momentum Filter
The Relative Strength Index (RSI) filter, computed from a user-defined lower timeframe, furnishes critical momentum-based signal validation. By meticulously monitoring RSI dynamics on an accelerated timeframe, traders gain the capacity to evaluate underlying momentum strength with precision, prior to committing to signal execution on the primary chart timeframe.
// --- Lower Timeframe RSI Filter ---
ltf_rsi_filter_enable = input.bool(false, title="Enable RSI Filter", group="MTF Filters", tooltip="Use RSI from lower timeframe as a filter")
ltf_rsi_timeframe = input.timeframe("1", title="RSI Timeframe", group="MTF Filters", tooltip="Timeframe for RSI calculation")
ltf_rsi_length = input.int(14, title="RSI Length", minval=1, group="MTF Filters", tooltip="Length for RSI calculation")
ltf_rsi_threshold = input.int(30, title="RSI Threshold", minval=0, maxval=100, group="MTF Filters", tooltip="RSI value threshold for filtering signals")
2. Convergent Lower Timeframe MACD Trend-Momentum Filter
The Moving Average Convergence Divergence (MACD) filter, also calculated on a lower timeframe basis, introduces a critical layer of trend-momentum convergence confirmation. The bullish signal configuration rigorously mandates that the MACD line be definitively positioned above the Signal line on the designated lower timeframe. This stringent condition ensures a robust indication of converging momentum that aligns synergistically with the prevailing trend identified on the primary timeframe.
// --- Lower Timeframe MACD Filter ---
ltf_macd_filter_enable = input.bool(false, title="Enable MACD Filter", group="MTF Filters", tooltip="Use MACD from lower timeframe as a filter")
ltf_macd_timeframe = input.timeframe("1", title="MACD Timeframe", group="MTF Filters", tooltip="Timeframe for MACD calculation")
ltf_macd_fast_length = input.int(12, title="MACD Fast Length", minval=1, group="MTF Filters", tooltip="Fast EMA length for MACD")
ltf_macd_slow_length = input.int(26, title="MACD Slow Length", minval=1, group="MTF Filters", tooltip="Slow EMA length for MACD")
ltf_macd_signal_length = input.int(9, title="MACD Signal Length", minval=1, group="MTF Filters", tooltip="Signal SMA length for MACD")
3. Definitive Volume Confirmation Filter
The Volume Filter functions as an indispensable arbiter of trade conviction. By establishing a dynamic volume threshold, defined as a percentage relative to the average volume over a user-specified lookback period, traders can effectively ensure that all generated signals are rigorously validated by demonstrably increased trading activity. This pivotal validation step signifies robust market participation, substantially diminishing the potential for spurious or false breakout signals.
// --- Volume Filter ---
volume_filter_enable = input.bool(false, title="Enable Volume Filter", group="MTF Filters", tooltip="Use volume level as a filter")
volume_threshold_percent = input.int(title="Volume Threshold (%)", defval=150, minval=100, group="MTF Filters", tooltip="Minimum volume percentage compared to average volume to allow signal (100% = average)")
These meticulously engineered filters operate in synergistic confluence, requiring all enabled filters to definitively satisfy their pre-defined conditions before a Buy or Sell signal is generated. This stringent multi-layered validation process drastically minimizes the incidence of false positive signals, thereby significantly enhancing entry precision and overall signal reliability.
Intuitive Visual Architecture & Actionable Intelligence
MFTA provides a demonstrably intuitive and visually rich charting environment, meticulously delineating trend direction and momentum through precisely color-coded plots:
Average Supertrend: Thin line, green/red for uptrend/downtrend, immediate directional bias.
Smoothed Supertrend: Bold line, teal/purple for uptrend/downtrend, cleaner, institutionally robust trend.
Dynamic Trend Fill: Green/red fill between Supertrends quantifies trend strength and momentum.
Adaptive Background Coloring: Light green/red background mirrors Smoothed Supertrend direction, holistic trend perspective.
Precision Buy/Sell Signals: ‘BUY’/‘SELL’ labels appear on chart when trend touch and MTF filter confluence are satisfied, facilitating high-conviction trade action.
MFTA indicator applied to BTCUSDT 4-hour chart, showcasing its effectiveness on higher timeframes. The Smoothed Length parameter is increased to 200 for enhanced smoothness on this timeframe, coupled with 1min RSI and Volume filters for signal refinement. This illustrates the indicator's adaptability across different timeframes and market conditions.
Strategic Applications for Institutional Mandates
MFTA’s sophisticated design provides distinct advantages for advanced trading operations and institutional investment mandates. Key strategic applications include:
High-Probability Trend Identification: Fibonacci-averaged Supertrend with MTF filters robustly identifies high-probability trend continuations and reversals, enhancing alpha generation.
Precision Entry/Exit Signals: Volume and momentum-filtered signals enable institutional-grade precision for optimized risk-adjusted returns.
Algorithmic Trading Integration: Clear signal logic facilitates seamless integration into automated trading systems for scalable strategy deployment.
Multi-Asset/Timeframe Versatility: Adaptable parameters ensure applicability across diverse asset classes and timeframes, catering to varied trading mandates.
Enhanced Risk Management: Superior signal fidelity from MTF filters inherently reduces false signals, supporting robust risk management protocols.
Granular Customization and Parameterized Control
MFTA offers unparalleled customization, empowering users to fine-tune parameters for precise alignment with specific trading styles and market conditions. Key adjustable parameters include:
Fibonacci Factors: Adjust Supertrend sensitivity to volatility regimes.
ATR Length: Control volatility responsiveness in Supertrend calculations.
Smoothing Length: Refine Smoothed Trend line responsiveness and noise reduction.
MTF Filter Parameters: Independently configure timeframes, lookback periods, and thresholds for RSI, MACD, and Volume filters for optimal signal filtering.
Disclaimer
MFTA is meticulously engineered for high-quality trend signals; however, no indicator guarantees profit. Market conditions are unpredictable, and trading involves substantial risk. Rigorous backtesting and forward testing across diverse datasets, alongside a comprehensive understanding of the indicator's logic, are essential before live deployment. Past performance is not indicative of future results. MFTA is for informational and analytical purposes only and is not financial or investment advice.
PriorHourRangeLevels_v0.1PriorHourRangeLevels_v0.1
Created by dc_77 | © 2025 | Mozilla Public License 2.0
Overview
"PriorHourRangeLevels_v0.1" is a versatile Pine Script™ indicator designed to help traders visualize and analyze price levels based on the prior hour’s range. It overlays key levels—High, Low, 75%, 50% (EQ), and 25%—from the previous hour onto the current price chart, alongside the current hour’s opening price. With customizable display options and time zone support, it’s ideal for intraday traders looking to identify support, resistance, and breakout zones.
How It Works
Hourly Reset: The indicator detects the start of each hour based on your chosen time zone (e.g., "America/New_York" by default).
Prior Hour Range: It calculates the High and Low of the previous hour, then derives three additional levels:
75%: 75% of the range above the Low.
EQ (50%): The midpoint of the range.
25%: 25% of the range above the Low.
Current Hour Open: Displays the opening price of the current hour.
Projection: Lines extend forward (default: 24 bars) to project these levels into the future, aiding in real-time analysis.
Alerts: Triggers alerts when the price crosses any of the prior hour’s levels (High, 75%, EQ, 25%, Low).
Key Features
Time Zone Flexibility: Choose from options like UTC, New York, Tokyo, or London to align with your trading session.
Visual Customization:
Toggle visibility for each level (High, Low, 75%, EQ, 25%, Open, and Anchor).
Adjust line styles (Solid, Dashed, Dotted), colors, and widths.
Show or hide labels with adjustable sizes (Tiny, Small, Normal, Large).
Anchor Line: A vertical line marks the start of the prior hour, with optional labeling.
Alert Conditions: Set up notifications for price crossings to catch key moments without watching the chart.
Usage Tips
Use the High and Low as potential breakout levels, while 75%, EQ, and 25% act as intermediate support/resistance zones.
Trend Confirmation: Watch how price interacts with the EQ (50%) level to gauge momentum.
Session Planning: Adjust the time zone to match your market (e.g., "Europe/London" for FTSE trading).
Projection Offset: Extend or shorten the lines (via "Projection Offset") based on your chart timeframe.
Inputs
Time Zone: Select your preferred market time zone.
Anchor Settings: Show/hide the prior hour start line, style, color, width, and label.
Level Settings: Customize visibility, style, color, width, and labels for Open, High, 75%, EQ, 25%, and Low.
Display: Set projection length and label size.
Multi-Anchored Linear Regression Channels [TANHEF]█ Overview:
The 'Multi-Anchored Linear Regression Channels ' plots multiple dynamic regression channels (or bands) with unique selectable calculation types for both regression and deviation. It leverages a variety of techniques, customizable anchor sources to determine regression lengths, and user-defined criteria to highlight potential opportunities.
Before getting started, it's worth exploring all sections, but make sure to review the Setup & Configuration section in particular. It covers key parameters like anchor type, regression length, bias, and signal criteria—essential for aligning the tool with your trading strategy.
█ Key Features:
⯁ Multi-Regression Capability:
Plot up to three distinct regression channels and/or bands simultaneously, each with customizable anchor types to define their length.
⯁ Regression & Deviation Methods:
Regressions Types:
Standard: Uses ordinary least squares to compute a simple linear trend by averaging the data and deriving a slope and endpoints over the lookback period.
Ridge: Introduces L2 regularization to stabilize the slope by penalizing large coefficients, which helps mitigate multicollinearity in the data.
Lasso: Uses L1 regularization through soft-thresholding to shrink less important coefficients, yielding a simpler model that highlights key trends.
Elastic Net: Combines L1 and L2 penalties to balance coefficient shrinkage and selection, producing a robust weighted slope that handles redundant predictors.
Huber: Implements the Huber loss with iteratively reweighted least squares (IRLS) and EMA-style weights to reduce the impact of outliers while estimating the slope.
Least Absolute Deviations (LAD): Reduces absolute errors using iteratively reweighted least squares (IRLS), yielding a slope less sensitive to outliers than squared-error methods.
Bayesian Linear: Merges prior beliefs with weighted data through Bayesian updating, balancing the prior slope with data evidence to derive a probabilistic trend.
Deviation Types:
Regressive Linear (Reverse): In reverse order (recent to oldest), compute weighted squared differences between the data and a line defined by a starting value and slope.
Progressive Linear (Forward): In forward order (oldest to recent), compute weighted squared differences between the data and a line defined by a starting value and slope.
Balanced Linear: In forward order (oldest to newest), compute regression, then pair to source data in reverse order (newest to oldest) to compute weighted squared differences.
Mean Absolute: Compute weighted absolute differences between each data point and its regression line value, then aggregate them to yield an average deviation.
Median Absolute: Determine the weighted median of the absolute differences between each data point and its regression line value to capture the central tendency of deviations.
Percent: Compute deviation as a percentage of a base value by multiplying that base by the specified percentage, yielding symmetric positive and negative deviations.
Fitted: Compare a regression line with high and low series values by computing weighted differences to determine the maximum upward and downward deviations.
Average True Range: Iteratively compute the weighted average of absolute differences between the data and its regression line to yield an ATR-style deviation measure.
Bias:
Bias: Applies EMA or inverse-EMA style weighting to both Regression and/or Deviation, emphasizing either recent or older data.
⯁ Customizable Regression Length via Anchors:
Anchor Types:
Fixed: Length.
Bar-Based: Bar Highest/Lowest, Volume Highest/Lowest, Spread Highest/Lowest.
Correlation: R Zero, R Highest, R Lowest, R Absolute.
Slope: Slope Zero, Slope Highest, Slope Lowest, Slope Absolute.
Indicator-Based: Indicators Highest/Lowest (ADX, ATR, BBW, CCI, MACD, RSI, Stoch).
Time-Based: Time (Day, Week, Month, Quarter, Year, Decade, Custom).
Session-Based: Session (Tokyo, London, New York, Sydney, Custom).
Event-Based: Earnings, Dividends, Splits.
External: Input Source Highest/Lowest.
Length Selection:
Maximum: The highest allowed regression length (also fixed value of “Length” anchor).
Minimum: The shortest allowed length, ensuring enough bars for a valid regression.
Step: The sampling interval (e.g., 1 checks every bar, 2 checks every other bar, etc.). Increasing the step reduces the loading time, most applicable to “Slope” and “R” anchors.
Adaptive lookback:
Adaptive Lookback: Enable to display regression regardless of too few historical bars.
⯁ Selecting Bias:
Bias applies separately to regression and deviation.
Positive values emphasize recent data (EMA-style), negative invert, and near-zero maintains balance. (e.g., a length 100, bias +1 gives the newest price ~7× more weight than the oldest).
It's best to apply bias to both (regression and deviation) or just the deviation. Biasing only regression may distort deviation visually, while biasing both keeps their relationship intuitive. Using bias only for deviation scales it without altering regression, offering unique analysis.
⯁ Scale Awareness:
Supports linear and logarithmic price scaling, the regression and deviations adjust accordingly.
⯁ Signal Generation & Alerts:
Customizable entry/exit signals and alerts, detailed in the dedicated section below.
⯁ Visual Enhancements & Real-World Examples:
Optional on-chart table display summarizing regression input criteria (display type, anchor type, source, regression type, regression bias, deviation type, deviation bias, deviation multiplier) and key calculated metrics (regression length, slope, Pearson’s R, percentage position within deviations, etc.) for quick reference.
█ Understanding R (Pearson Correlation Coefficient):
Pearson’s R gauges data alignment to a straight-line trend within the regression length:
Range: R varies between –1 and +1.
R = +1 → Perfect positive correlation (strong uptrend).
R = 0 → No linear relationship detected.
R = –1 → Perfect negative correlation (strong downtrend).
This script uses Pearson’s R as an anchor, adjusting regression length to target specific R traits. Strong R (±1) follows the regression channel, while weak R (0) shows inconsistency.
█ Understanding the Slope:
The slope is the direction and rate at which the regression line rises or falls per bar:
Positive Slope (>0): Uptrend – Steeper means faster increase.
Negative Slope (<0): Downtrend – Steeper means sharper drop.
Zero or Near-Zero Slope: Sideways – Indicating range-bound conditions.
This script uses highest and lowest slope as an anchor, where extremes highlight strong moves and trend lines, while values near zero indicate sideways action and possible support/resistance.
█ Setup & Configuration:
Whether you’re new to this script or want to quickly adjust all critical parameters, the panel below shows the main settings available. You can customize everything from the anchor type and maximum length to the bias, signal conditions, and more.
Scale (select Log Scale for logarithmic, otherwise linear scale).
Display (regression channel and/or bands).
Anchor (how regression length is determined).
Length (control bars analyzed):
• Max – Upper limit.
• Min – Prevents regression from becoming too short.
• Step – Controls scanning precision; increasing Step reduces load time.
Regression:
• Type – Calculation method.
• Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more).
Deviation:
• Type – Calculation method.
• Bias – EMA-style emphasis (>0=new bars weighted more; <0=old bars weighted more).
• Multiplier - Adjusts Upper and Lower Deviation.
Signal Criteria:
• % (Price vs Deviation) – (0% = lower deviation, 50% = regression, 100% = upper deviation).
• R – (0 = no correlation, ±1 = perfect correlation; >0 = +slope, <0 = -slope).
Table (analyze table of input settings, calculated results, and signal criteria).
Adaptive Lookback (display regression while too few historical bars).
Multiple Regressions (steps 2 to 7 apply to #1, #2, and #3 regressions).
█ Signal Generation & Alerts:
The script offers customizable entry and exit signals with flexible criteria and visual cues (background color, dots, or triangles). Alerts can also be triggered for these opportunities.
Percent Direction Criteria:
(0% = lower deviation, 50% = regression line, 100% = upper deviation)
Above %: Triggers if price is above a specified percent of the deviation channel.
Below %: Triggers if price is below a specified percent of the deviation channel.
(Blank): Ignores the percent‐based condition.
Pearson's R (Correlation) Direction Criteria:
(0 = no correlation, ±1 = perfect correlation; >0 = positive slope, <0 = negative slope)
Above R / Below R: Compares the correlation to a threshold.
Above│R│ / Below│R│: Uses absolute correlation to focus on strength, ignoring direction.
Zero to R: Checks if R is in the 0-to-threshold range.
(Blank): Ignores correlation-based conditions.
█ User Tips & Best Practices:
Choose an anchor type that suits your strategy, “Bar Highest/Lowest” automatically spots commonly used regression zones, while “│R│ Highest” targets strong linear trends.
Consider enabling or disabling the Adaptive Lookback feature to ensure you always have a plotted regression if your chart doesn’t meet the maximum-length requirement.
Use a small Step size (1) unless relying on R-correlation or slope-based anchors as the are time-consuming to calculate. Larger steps speed up calculations but reduce precision.
Fine-tune settings such as lookback periods, regression bias, and deviation multipliers, or trend strength. Small adjustments can significantly affect how channels and signals behave.
To reduce loading time , show only channels (not bands) and disable signals, this limits calculations to the last bar and supports more extreme criteria.
Use the table display to monitor anchor type, calculated length, slope, R value, and percent location at a glance—especially if you have multiple regressions visible simultaneously.
█ Conclusion:
With its blend of advanced regression techniques, flexible deviation options, and a wide range of anchor types, this indicator offers a highly adaptable linear regression channeling system. Whether you're anchoring to time, price extremes, correlation, slope, or external events, the tool can be shaped to fit a variety of strategies. Combined with customizable signals and alerts, it may help highlight areas of confluence and support a more structured approach to identifying potential opportunities.
SessionRangeLevels_v0.1SessionRangeLevels_v0.1
Overview:
SessionRangeLevels_v0.1 is a customizable Pine Script (v6) indicator designed to plot key price levels based on a user-defined trading session. It identifies the high and low of the session and calculates intermediate levels (75%, 50% "EQ", and 25%) within that range. These levels are projected forward as horizontal lines with accompanying labels, providing traders with dynamic support and resistance zones. The indicator supports extensive customization for session timing, time zones, line styles, colors, and more.
Key Features:
Session-Based Range Detection: Tracks the high and low prices during a specified session (e.g., 0600-0900) and updates them dynamically as the session progresses.
Customizable Levels: Displays High, 75%, EQ (50%), 25%, and Low levels, each with independent toggle options, styles (Solid, Dashed, Dotted), colors, and widths.
Session Anchor: Optional vertical line marking the session start, with customizable style, color, and width.
Projection Offset: Extends level lines forward by a user-defined number of bars (default: 24) for future price reference.
Labels: Toggleable labels for each level (e.g., "High," "75%," "EQ") with adjustable size (Tiny, Small, Normal, Large).
Time Zone Support: Aligns session timing to a selected time zone (e.g., America/New_York, UTC, Asia/Tokyo, etc.).
Alert Conditions: Triggers alerts when the price crosses any of the plotted levels (High, 75%, EQ, 25%, Low).
Inputs:
Session Time (HHMM-HHMM): Define the session range (e.g., "0600-0900" for 6:00 AM to 9:00 AM).
Time Zone: Choose from options like UTC, America/New_York, Europe/London, etc.
Anchor Settings: Toggle the session start line, adjust its style (default: Dotted), color (default: Black), and width (default: 1).
Level Settings:
High (Solid, Black, Width 2)
75% (Dotted, Blue, Width 1)
EQ/50% (Dotted, Orange, Width 1)
25% (Dotted, Blue, Width 1)
Low (Solid, Black, Width 2)
Each level includes options to show/hide, set style, color, width, and label visibility.
Projection Offset: Number of bars to extend lines (default: 24).
Label Size: Set label size (default: Small).
How It Works:
The indicator detects the start and end of the user-defined session based on the specified time and time zone.
During the session, it tracks the highest high and lowest low, updating the levels in real-time.
At the session start, it plots the High, Low, and intermediate levels (75%, 50%, 25%), projecting them forward.
Lines and labels dynamically adjust as new highs or lows occur within the session.
Alerts notify users when the price crosses any active level.
Usage:
Ideal for traders who focus on session-based strategies (e.g., London or New York open). Use it to identify key price zones, monitor breakouts, or set targets. Customize the appearance to suit your chart preferences and enable alerts for real-time trading signals.
Notes:
Ensure your chart’s timeframe aligns with your session duration for optimal results (e.g., 1-minute or 5-minute charts for short sessions).
The indicator overlays directly on the price chart for easy integration with other tools.
Custom 6H Candle HighlightHighlights a certain 6H candle on the chart. Input which 6H Candle in the settings for the indicator.
[blackcat] L2 Risk Assessment for Trend StrengthOVERVIEW
This script provides an advanced technical analysis tool combining real-time **Risk Assessment** and **Trend Strength Indicators**, displayed independently from price charts. It calculates multi-layered metrics using weighted algorithms and visualizes risk thresholds via dynamically-colored zones.
FEATURES
- Dual ** RISKA ** calculations ( RSVA1 / RSVA2 ) across 9-period cycles
- Smoothed outputs via proprietary **boldWeighted Moving Averages (WMAs)**
- Dynamic **Current Safety Level Plot** (fuchsia area-style visualization)
- Color-coded **Trend Strength Line** reacting to real-time shifts across four danger/optimism tiers
- Automated threshold validation mechanism using last-valid-value logic
- Visually distinct risk zones (blue/green/yellow/red/fuchsia) filling background areas
HOW TO USE
1. Add to your chart to observe two core elements:
- Area plot showing current risk tolerance buffer
- Thick line indicating momentum strength direction
2. Interpret values relative to vertical thresholds:
• Above 100 = Ultra-safe zone (light blue)
• 80–100 = Safe zone (green)
• 20–80 = Moderate/high-risk zones (yellow)
• Below 20 = Extreme risk (red)
3. Monitor trend confidence shifts using the colored line:
> **Blue**: Strong bullish momentum (>80%)
> **Green/Yellow**: Neutral/moderate trends (50%-80%)
> **Red**: Bearish extremes (<20%)
LIMITATIONS
• Relies heavily on prior 33-period low and 21-period high volatility patterns
• WMA smoothing introduces minor backward-looking bias
• Not optimized for intraday timeframe sub-hourly usage
• Excessive weighting parameters may amplify noise during sideways markets
TR FVG & Swing High Low FinderTR FVG & Swing Level Finder
Overview:
The TR FVG & Swing Level Finder is a powerful Pine Script indicator designed for traders who want to identify Fair Value Gaps (FVGs) and Swing Highs/Lows on their charts. This indicator combines two essential technical analysis tools into one, helping traders spot potential areas of support, resistance, and trend reversals. FVGs are price gaps that often act as areas of interest for price to return to, while swing highs and lows help identify key turning points in the market. The indicator is highly customizable, allowing users to adjust colors, limits, and display options to suit their trading style.
Key Features:
1: Fair Value Gap (FVG) Detection:
- Identifies Bullish FVGs: Occur when the high of two candles ago is lower than the low of the current candle, indicating a potential upward price movement.
- Identifies Bearish FVGs: Occur when the low of two candles ago is higher than the high of the current candle, indicating a potential downward price movement.
- Displays FVGs as colored boxes on the chart, with customizable border and fill colors based on the timeframe.
- Labels each FVG box with the corresponding timeframe (e.g., "1m FVG", "1h FVG", "Daily FVG").
2: Swing High and Swing Low Detection:
- Detects Swing Highs: A 3-candle pattern where the middle candle's high is higher than the highs of the candles on either side.
- Detects Swing Lows: A 3-candle pattern where the middle candle's low is lower than the lows of the candles on either side.
- Draws a solid black line with 50% opacity at each swing high and low, extending 5 bars to the right for better visibility.
- Adds a small Swing High or Swing Low label at the right end of each line, colored according to user-defined settings.
3: Timeframe-Specific FVG Visualization:
- FVGs are color-coded based on the chart's timeframe, making it easy to distinguish between FVGs on different timeframes.
- Each timeframe has its own fill color for bullish and bearish FVGs, with adjustable transparency for better chart clarity.
- A dashed black line is drawn in the middle of each FVG box to highlight the midpoint of the gap.
4: Customizable Display Options:
- FVG Limit: Control the maximum number of FVGs displayed on the chart (from 1 to 20).
- Extend Options for FVG Boxes:
- "None": FVG boxes extend only 2 bars to the right.
- "Limited": FVG boxes extend a user-defined number of candles to the right (1 to 100 candles).
- "Default": FVG boxes extend 3 bars to the right of the current bar.
- Color Customization:
- Set border colors for bullish and bearish FVGs.
- Adjust fill colors for FVGs on different timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Customize the colors of swing high and swing low labels.
5: Performance Optimization:
- The indicator only plots FVGs and swings on the last confirmed bar (barstate.islastconfirmedhistory), ensuring efficient performance and reducing chart clutter.
- Limits the number of displayed FVGs and swings to the user-defined fvgLimit, keeping the chart clean and focused on the most recent price action.
6: Inputs and Customization:
- Number of FVGs to Show (fvgLimit): Set the maximum number of FVGs and swings to display (default: 3, range: 1 to 20).
- Bullish FVG Border Color (bullishColor): Choose the border color for bullish FVGs (default: green).
- Bearish FVG Border Color (bearishColor): Choose the border color for bearish FVGs (default: red).
- Swing High Color (swingHighColor): Set the color for swing high labels (default: blue).
- Swing Low Color (swingLowColor): Set the color for swing low labels (default: purple).
- Extend Options:
- Extend Option (extendOption): Choose how far FVG boxes extend to the right ("None", "Limited", or "Default"; default: "Default").
- Extend Candles (extendCandles): If "Limited" is selected, specify the number of candles to extend FVG boxes (default: 8, range: 1 to 100).
- Timeframe-Specific Fill Colors:
- Customize fill colors for bullish and bearish FVGs on various timeframes (1m, 5m, 15m, 30m, 1h, 4h, Daily, Weekly, Monthly).
- Each fill color has a default transparency (e.g., 93% for most timeframes, 90% for 30m), which can be adjusted as needed.
How to Use:
1: Add the Indicator to Your Chart:
- Open TradingView, go to the Pine Editor, and paste the script.
- Click "Add to Chart" to apply the indicator to your current chart.
2: Adjust Settings:
- Open the indicator settings by clicking the gear icon next to the indicator name on your chart.
- Modify the inputs to suit your preferences:
- Set the number of FVGs and swings to display.
- Choose your preferred colors for FVGs and swings.
- Adjust the extend options for FVG boxes.
3: Interpret the Indicator:
- FVG Boxes: Look for colored boxes on the chart, which represent Fair Value Gaps. Bullish FVGs (green borders by default) suggest potential buying opportunities, while bearish FVGs (red borders by default) suggest potential selling opportunities. The label inside each box indicates the timeframe of the FVG.
- Swing Highs and Lows: Identify key turning points with solid black lines (50% opacity) at swing highs and lows. Each line extends 5 bars to the right, with an "SH" (Swing High) or "SL" (Swing Low) label at the end. Swing highs can act as resistance levels, while swing lows can act as support levels.
4: Combine with Your Strategy:
- Use FVGs to identify areas where price might return to fill the gap, often acting as support or resistance.
- Use swing highs and lows to spot potential trend reversals or to set stop-loss and take-profit levels.
- Combine the indicator with other tools (e.g., trendlines, moving averages) for a more comprehensive trading strategy.
Notes:
- The indicator works on all timeframes, but the appearance of FVGs and swings will vary depending on the chart's timeframe.
- For best results, use the indicator on a clean chart to avoid visual clutter, especially if you increase the fvgLimit.
- The swing high/low lines are drawn with 50% opacity to ensure they don’t overpower other chart elements, but they are still clearly visible.
Author’s Note:
This script was developed to help traders identify key price levels with ease. I hope it adds value to your trading! If you have any feedback or suggestions for improvement, feel free to leave a comment. Happy trading!
Quantum Motion Oscillator-QMO (TechnoBlooms)Quantum Motion Oscillator (QMO) is a momentum indicator designed for traders who demand precision. Combining multi-timeframe weighted linear regression with EMA crossovers, QMO offers a dynamic view of market momentum, helping traders anticipate trend shifts with greater accuracy.
This oscillator is inspired by quantum mechanics and wave theory, where market movement is seen as a series of probabilistic waves rather than rigid structures.
The histogram is plotted in proportion to the price movement of the candlesticks.
KEY FEATURES
1. Multi-Timeframe Histogram - Integrates 1 to 5 weighted linear regression averages, reducing lag while maintaining accuracy.
2. EMA Crossover Signal - Uses a Short and Long EMA to confirm trend shifts with minimal noise.
3. Adaptive Trend Analysis - Self-adjusting mechanics make QMO effective in both ranging and trending markets.
4. Scalable for Different Trading Styles - Works seamlessly for scalping, intraday, swing and position trading.
ADVANCED PROFESSIONAL INSIGHTS
1. Wave Dynamics and Market Flow - Inspired by wave mechanics, QMO reflects the energy accumulation and dissipation in price movements.
Expanding histogram waves = Strong momentum surge
Contracting waves = Momentum weakening, potential reversal zone.
2. Liquidity and Order Flow Applications - QMO works well alongside liquidity concepts and smart money techniques:
Combine with Fair Value Gaps & Order Blocks -> Enter when QMO signals align with liquidity zones.
Avoid False Moves - If price sweeps liquidity, but QMO momentum diverges, it is a sign of potential smart money manipulation.
Standard Deviation (fadi)The Standard Deviation indicator uses standard deviation to map out price movements. Standard deviation measures how much prices stray from their average—small values mean steady trends, large ones mean wild swings. Drawing from up to 20 years of data, it plots key levels using customizable Fibonacci lines tied to that standard deviation, giving traders a snapshot of typical price behavior.
These levels align with a bell curve: about 68% of price moves stay within 1 standard deviation, 95% within roughly 2, and 99.7% within roughly 3. When prices break past the 1 StDev line, they’re outliers—only 32% of moves go that far. Prices often snap back to these lines or the average, though the reversal might not happen the same day.
How Traders Use It
If prices surge past the 1 StDev line, traders might wait for momentum to fade, then trade the pullback to that line or the average, setting a target and stop.
If prices dip below, they might buy, anticipating a bounce—sometimes a day or two later. It’s a tool to spot overstretched prices likely to revert and/or measure the odds of continuation.
Settings
Higher Timeframe: Sets the Higher Timeframe to calculate the Standard Deviation for
Show Levels for the Last X Days: Displays levels for the specified number of days.
Based on X Period: Number of days to calculate standard deviation (e.g., 20 years ≈ 5,040 days). Larger periods smooth out daily level changes.
Mirror Levels on the Other Side: Plots symmetric positive and negative levels around the average.
Fibonacci Levels Settings: Defines which levels and line styles to show. With mirroring, negative values aren’t needed.
Background Transparency: Turn on Background color derived from the level colors with the specified transparency
Overrides: Lets advanced users input custom standard deviations for specific tickers (e.g., NQ1! at 0.01296).
ICT Breakers (BOS / MSS - Market Structure) [ICTProTools]The Breakers (Market Structure) indicator is designed to help traders identify true breaker structures , a key concept in Inner Circle Trader (ICT) methodology. In market structure, Breakers represent powerful shifts where a key high or low is broken, leading to a reversal in market direction. Most tools misinterpret structure shifts, using internal structure , leading to fake breakouts. This tool solves that problem by filtering out false signals , providing clear & structured insights , all with multi-timeframe compatibility.
💎 Key Features
⚡️ Breakers in action
The indicator shows the structure following ICT instructions. A breaker is defined by two lines:
The first line confirms the previous trend (it could be interpreted as a BOS).
The second line highlights the moment price breaks structure (with candle body or wick based on your chosen settings), signaling a shift in trend direction (like an MSS).
Furthermore, it’s important to note that a breaker not only shows the structure, but also defines a potential Point of Interest (POI), an area where price may retrace before continuing its trend.
Here, we can observe two clear structure shifts.
On the far left, the market was in a bearish trend, illustrated by the first visible (dotted and red) line. Shortly after, the second (solid and green) line appears, showing a break that initiates a new bullish trend.
This upward movement continues, with the last confirmation marked by a top structure line. And finally, the structure is broken once again indicating a transition back into a bearish trend.
💪 Real Structure with True Highs / Lows
Unlike many indicators that detect internal breakouts , this tool follows ICT’s true market structure rules .
In a bearish trend , a bullish breaker is only confirmed when the high that created the low is broken , and conversely for a bullish scenario.
Fake breakouts are ignored, preventing misleading signals.
In the image above, the white breakout is correctly ignored by the indicator, as it doesn't align with ICT’s structural rules. That white high is simply part of the internal structure, not the true swing point. Instead, the green line highlights the key level that truly matters, the one whose rupture would have confirmed a real change in market structure.
🔔 Smart Alerts for Structure Updates
Stay one step ahead with customizable alerts designed to notify you instantly when market structure changes occur.
Get notified for BOS (Continuation) and / or MSS (Breaker) events.
Set alerts for bullish , bearish , or both directions.
Choose between once or repeated alerts , based on your strategy.
This feature allows traders to remain focused and reactive , even when monitoring multiple markets.
In the alert settings, select which structure shifts you want to be notified of. Whether you're a scalper or a swing trader, the alerts keep you connected to key moments without needing to constantly monitor the chart.
⏳ Multi-Timeframe Structure
All features of the indicator are fully compatible with higher timeframes .
Get a broader view of market structure without switching timeframes.
Monitor higher timeframe structures and receive alerts, all without leaving your analysis chart .
In this example, the market structure of the 30m timeframe is displayed while on a 5m chart, providing a clearer perspective.
✨ Customization & User Control
Make it yours! The indicator allows full customization:
Swing bars (to confirm high / low)
Select your mode for Breakers (MSS) , using the candle body only or body / wick
Line style (type, width, color)
Choice of displayed timeframe
Activate any alert , with the frequency you want
🎯 Conclusion
✅ Avoid false signals by focusing on true ICT Breakers
✅ Smart alerts to never miss a structural shift
✅ Multi-timeframe support for enhanced analysis
✅ Clean & professional design for an optimal trading experience
RakyatChart_ProUsed to determine exit points based on price volatility using ATR (Average True Range).
Key Features:
BUY/SELL signals with larger and clearer labels
Automatic trailing stop to safely follow trends
Alert notifications when a trend reversal occurs
Option to use close price or high/low for extremum calculations
Use this indicator for trend-following trading or as an additional confirmation tool in scalping/day trading strategies.
Dynamic Momentum Bands | AlphaAlgosDynamic Momentum Bands | AlphaAlgos
Overview
The Dynamic Momentum Bands indicator is an advanced technical analysis tool that combines multiple analytical techniques to provide a comprehensive view of market momentum and trend dynamics. By integrating RSI (Relative Strength Index), volatility analysis, and adaptive moving averages, this indicator offers traders a nuanced perspective on market conditions.
Key Features
Adaptive band calculation based on price momentum
Integrated RSI-driven volatility scaling
Multiple moving average type options (EMA, SMA, VWMA)
Smooth, gradient-based band visualization
Optional price bar coloring for trend identification
Technical Methodology
The indicator employs a sophisticated approach to market analysis:
1. Momentum Calculation
Calculates RSI using a customizable length
Uses RSI to dynamically adjust band volatility
Scales band width based on distance from the 50 RSI level
2. Band Construction
Applies a selected moving average type to the price source
Calculates deviation using ATR (Average True Range)
Smooths band edges for improved visual clarity
Configuration Options
Core Settings:
Price Source: Choose the price data used for calculations
RSI Length: Customize the RSI calculation period (1-50)
Band Length: Adjust the moving average period (5-100)
Volatility Multiplier: Fine-tune band width
Band Type: Select between EMA, SMA, and VWMA
Visual Settings:
Bar Coloring: Toggle color-coded price bars
Gradient-based band visualization
Smooth color transitions for trend representation
Trend Identification
The indicator provides trend insights through:
Color-coded bands (blue for bullish, pink for bearish)
Smooth gradient visualization
Optional price bar coloring
Trading Applications
Trend Following:
- Use band position relative to price as trend indicator
- Identify momentum shifts through color changes
- Utilize gradient zones for trend strength assessment
Volatility Analysis:
Observe band width changes
Detect potential breakout or consolidation periods
Use RSI-driven volatility scaling for market context
Best Practices
Adjust RSI length to match trading timeframe
Experiment with different moving average types
Use in conjunction with other technical indicators
Consider volatility multiplier for different market conditions
This indicator is provided for informational purposes only. Always use proper risk management when trading. Past performance is not indicative of future results. Not financial Advise
Find Untapped LevelsYou can find your daily, weekly and monthly levels with this indicator. You still need to go through each time frame and draw them yourself
Day Trading Trend & Candle Predictor with AIThe table first entry is the actual accuracy of the algorithm. Second one is the trend continuation %. Second row shows the next 1 and 2 candles %.
The arrow shows the most probable continuation for the chart.
Works on any timeframe,
Try it out and let me know what you think!
Layered Supertrend - [NLR]Layered Supertrend is an advanced version of the classic Supertrend indicator. Instead of a single line, it breaks the trend into six clear zones—three showing strength in the current trend, and three signaling a possible reversal. It also includes multiple Supertrend levels (multipliers 1 to 5) to help you see both short-term shifts and long-term trend direction at a glance.
Combine it with MACD Overlay for making better decision.
Thien ThienFair Value Gap indicator: Paints FVGs and their midlines (CEs). Stops painting when CE is hit, or when fully filled; user choice of threshold. This threshold is also used in the Alert conditions.
~~Plotted here on ES1! (CME), on the 15m timeframe~~
-A FVG represents a 'naked' body where the wicks/tails on either side do not meet. This can be seen as a type of 'gap', which price will have a tendency to want to re-fill (in part or in full).
-The midline (CE, or 'Consequent encroachment') of FVGs also tend to show price sensitivity.
-This indicator paints all FVGs until priced into, and should give an idea of which are more meaningful and which are best ignored (based on context: location, Time of day, market structure, etc).
-This is a simpler and more efficient method of painting Fair value gaps which auto-stop painting when price reaches them.
//Aims of Publishing:
-Education of ICT concepts of Fair Value Gaps and their midlines (CEs): To easily see via forward testing or backtesting, the sensitivity that price shows to these areas & levels.
-Demonstration of a much more efficient way of plotting FVGs which terminate at price, thanks to a modification of @Bjorgums's clever looping method referenced below.
//Settings:
-Toggle on/off upward and downward FVGs independe
