ATR% Multiple From MA - Overextensions trackingATR% Multiple From MA - Quantifiable Profit Taking Indicator
This overlay indicator identifies overextended price moves by calculating how many ATR% multiples price is away from a moving average, providing objective profit-taking signals.
Formula:
A = ATR% = (ATR / Price) × 100
B = % Gain from MA = ((Price - MA) / MA) × 100
ATR% Multiple = B / A
Signals:
Yellow circle at 7x: Start scaling out partial profits
Red circle at 10x+: Heavily overextended, aggressive profit taking recommended
Stats table: Real-time ATR% Multiple, % Gain from MA, ATR%, and action status
For very volatile markets I usually go for 10x and 15x extension instead of 7x and 10x.
This method normalizes moves across different volatility environments, eliminating emotional decision-making. Historical examples include PLTR, SOFI, TSLA, NVDA which stalled after exceeding 10x.
Customizable Settings:
ATR Length (default: 14)
MA Length (default: 50)
Profit Zone thresholds (7x, 10x)
Toggle circles and MA display
Средний истинный диапазон (ATR)
Adaptive CE-VWAP Breakout Framework [KedArc Quant]📘 Description
A structured framework that unites three complementary systems into one charting engine:
>Chandelier Exit (CE) – ATR-based trailing logic that defines trend direction, stop placement, and risk/reward overlays.
>Swing-Anchored VWAP (SWAV) – a dynamically anchored VWAP that re-starts from each confirmed swing and adapts its smoothness to volatility.
>Pivot S/R with Volume Breaks – confirmed horizontal levels with alerts when broken on expanding volume.
This script builds a single workflow for bias → trigger → management>without mixing unrelated indicators. Each module is internally linked rather than layered cosmetically, making it a true analytical framework—not.
🙏 Acknowledgment
Special thanks to Dynamic Swing Anchored VWAP by @Zeiierman, whose swing-anchoring concept inspired a part of the SWAV module’s implementation and adaptation logic.
Support and Resistance Levels with Breaks by @luxalgo for S/R breakout logic.
🎯 How this helps traders
>Trend clarity – CE color-codes direction and provides evolving stops.
>Context value – SWAV traces adaptive mean paths so traders see where price is “heavy” or “light.”
>Action filter – Pivot+volume logic highlights true structural breaks, filtering false moves.
>Discipline tool – Optional R:R boxes visualize risk and target zones to enforce planning.
🧩 Entry / Exit guidelines (for study purposes only)
Bias Use CE direction: green = long bias · red = short bias
Entry
1. Breakout method>– Trade in CE direction when a pivot level breaks on valid volume.
2. VWAP confirmation>– Prefer breaks occurring around the nearest SWAV path (fair-value cross or re-test).
Exit
>Stop = CE line / recent swing HL / ATR × (multiplier)
>Target = R-multiple × risk (default 2 R)
>Optional live update keeps SL/TP aligned with current CE state.
🧮 Core formula concepts
>ATR Stop: `Stop = High/Low – ATR × multiplier`
>VWAP calc: `Σ(price × vol) / Σ(vol)` anchored at swing pivot, adapted by APT (Adaptive Price Tracking) ratio ∝ ATR volatility.
>Volume oscillator: `100 × (EMA₅ – EMA₁₀)/EMA₁₀`; valid break when > threshold %.
⚙️ Input configuration (high-level)
Master Controls
• Show CE / SWAV modules • Theme & Fill opacity
CE Section
• ATR period & multiplier • Use Close for extremums
• Show buy/sell labels • Await bar confirmation
• Risk-Reward overlay: R-multiple, Stop basis (CE/Swing/ATR×), Live update toggle
SWAV Section
• Swing period • Adaptive Price Tracking length • Volatility bias (ATR-based adaptation) • Line width
Pivot & Volume Breaks
• Left/Right bar windows • Volume threshold % • Show Break labels and alerts
⏱ Best timeframes
>Intraday: 5 m – 30 m for breakout confirmation
>Swing: 1 h – 4 h for trend context
Settings scale with instrument volatility—adjust ATR period and volume threshold to match liquidity.
📘 Glossary
>ATR: Average True Range (volatility metric)
>CE: Chandelier Exit (trailing stop/trend filter)
>SWAV: Swing-Anchored VWAP (anchored mean price path)
>Pivot H/L: Confirmed local extrema using left/right bar windows
>R-multiple: Profit target as a multiple of initial risk
💬 FAQ
Q: Does it repaint? A: No—pivots wait for confirmation and VWAP updates forward-only.
Q: Can modules be disabled? A: Yes—each section has its own toggle.
Q: Can it trade automatically? A: This is an indicator/study, not an auto-strategy.
Q: Is this financial advice? A: No—educational use only.
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It is not financial advice. Trading involves risk of loss. Past performance does not guarantee future results. Always apply sound risk management.
Squeeze Hour Frequency [CHE]Squeeze Hour Frequency (ATR-PR) — Standalone — Tracks daily squeeze occurrences by hour to reveal time-based volatility patterns
Summary
This indicator identifies periods of unusually low volatility, defined as squeezes, and tallies their frequency across each hour of the day over historical trading sessions. By aggregating counts into a sortable table, it helps users spot hours prone to these conditions, enabling better scheduling of trading activity to avoid or target specific intraday regimes. Signals gain robustness through percentile-based detection that adapts to recent volatility history, differing from fixed-threshold methods by focusing on relative lowness rather than absolute levels, which reduces false positives in varying market environments.
Motivation: Why this design?
Traders often face uneven intraday volatility, with certain hours showing clustered low-activity phases that precede or follow breakouts, leading to mistimed entries or overlooked calm periods. The core idea of hourly squeeze frequency addresses this by binning low-volatility events into 24 hourly slots and counting distinct daily occurrences, providing a historical profile of when squeezes cluster. This reveals time-of-day biases without relying on real-time alerts, allowing proactive adjustments to session focus.
What’s different vs. standard approaches?
- Reference baseline: Classical volatility tools like simple moving average crossovers or fixed ATR thresholds, which flag squeezes uniformly across the day.
- Architecture differences:
- Uses persistent arrays to track one squeeze per hour per day, preventing overcounting within sessions.
- Employs custom sorting on ratio arrays for dynamic table display, prioritizing top or bottom performers.
- Handles timezones explicitly to ensure consistent binning across global assets.
- Practical effect: Charts show a persistent table ranking hours by squeeze share, making intraday patterns immediately visible—such as a top hour capturing over 20 percent of total events—unlike static overlays that ignore temporal distribution, which matters for avoiding low-liquidity traps in crypto or forex.
How it works (technical)
The indicator first computes a rolling volatility measure over a specified lookback period. It then derives a relative ranking of the current value against recent history within a window of bars. A squeeze is flagged when this ranking falls below a user-defined cutoff, indicating the value is among the lowest in the recent sample.
On each bar, the local hour is extracted using the selected timezone. If a squeeze occurs and the bar has price data, the count for that hour increments only if no prior mark exists for the current day, using a persistent array to store the last marked day per hour. This ensures one tally per unique trading day per slot.
At the final bar, arrays compile counts and ratios for all 24 hours, where the ratio represents each hour's share of total squeezes observed. These are sorted ascending or descending based on display mode, and the top or bottom subset populates the table. Background shading highlights live squeezes in red for visual confirmation. Initialization uses zero-filled arrays for counts and negative seeds for day tracking, with state persisting across bars via variable declarations.
No higher timeframe data is pulled, so there is no repaint risk from external fetches; all logic runs on confirmed bars.
Parameter Guide
ATR Length — Controls the lookback for the volatility measure, influencing sensitivity to short-term fluctuations; shorter values increase responsiveness but add noise, longer ones smooth for stability — Default: 14 — Trade-offs/Tips: Use 10-20 for intraday charts to balance quick detection with fewer false squeezes; test on historical data to avoid over-smoothing in trending markets.
Percentile Window (bars) — Sets the history depth for ranking the current volatility value, affecting how "low" is defined relative to past; wider windows emphasize long-term norms — Default: 252 — Trade-offs/Tips: 100-300 bars suit daily cycles; narrower for fast assets like crypto to catch recent regimes, but risks instability in sparse data.
Squeeze threshold (PR < x) — Defines the cutoff for flagging low relative volatility, where values below this mark a squeeze; lower thresholds tighten detection for rarer events — Default: 10.0 — Trade-offs/Tips: 5-15 percent for conservative signals reducing false positives; raise to 20 for more frequent highlights in high-vol environments, monitoring for increased noise.
Timezone — Specifies the reference for hourly binning, ensuring alignment with market sessions — Default: Exchange — Trade-offs/Tips: Set to "America/New_York" for US assets; mismatches can skew counts, so verify against chart timezone.
Show Table — Toggles the results display, essential for reviewing frequencies — Default: true — Trade-offs/Tips: Disable on mobile for performance; pair with position tweaks for clean overlays.
Pos — Places the table on the chart pane — Default: Top Right — Trade-offs/Tips: Bottom Left avoids candle occlusion on volatile charts.
Font — Adjusts text readability in the table — Default: normal — Trade-offs/Tips: Tiny for dense views, large for emphasis on key hours.
Dark — Applies high-contrast colors for visibility — Default: true — Trade-offs/Tips: Toggle false in light themes to prevent washout.
Display — Filters table rows to focus on extremes or full list — Default: All — Trade-offs/Tips: Top 3 for quick scans of risky hours; Bottom 3 highlights safe low-squeeze periods.
Reading & Interpretation
Red background shading appears on bars meeting the squeeze condition, signaling current low relative volatility. The table lists hours as "H0" to "H23", with columns for daily squeeze counts, percentage share of total squeezes (summing to 100 percent across hours), and an arrow marker on the top hour. A summary row above details the peak count, its share, and the leading hour. A label at the last bar recaps total days observed, data-valid days, and top hour stats. Rising shares indicate clustering, suggesting regime persistence in that slot.
Practical Workflows & Combinations
- Trend following: Scan for hours with low squeeze shares to enter during stable regimes; confirm with higher highs or lower lows on the 15-minute chart, avoiding top-share hours post-news like tariff announcements.
- Exits/Stops: Tighten stops in high-share hours to guard against sudden vol spikes; use the table to shift to conservative sizing outside peak squeeze times.
- Multi-asset/Multi-TF: Defaults work across crypto pairs on 5-60 minute timeframes; for stocks, widen percentile window to 500 bars. Combine with volume oscillators—enter only if squeeze count is below average for the asset.
Behavior, Constraints & Performance
Logic executes on closed bars, with live bars updating counts provisionally but finalizing on confirmation; table refreshes only at the last bar, avoiding intrabar flicker. No security calls or higher timeframes, so no repaint from external data. Resources include a 5000-bar history limit, loops up to 24 iterations for sorting and totals, and arrays sized to 24 elements; labels and table are capped at 500 each for efficiency. Known limits: Skips hours without bars (e.g., weekends), assumes uniform data availability, and may undercount in sparse sessions; timezone shifts can alter profiles without warning.
Sensible Defaults & Quick Tuning
Start with ATR Length at 14, Percentile Window at 252, and threshold at 10.0 for broad crypto use. If too many squeezes flag (noisy table), raise threshold to 15.0 and narrow window to 100 for stricter relative lowness. For sluggish detection in calm markets, drop ATR Length to 10 and threshold to 5.0 to capture subtler dips. In high-vol assets, widen window to 500 and threshold to 20.0 for stability.
What this indicator is—and isn’t
This is a historical frequency tracker and visualization layer for intraday volatility patterns, best as a filter in multi-tool setups. It is not a standalone signal generator, predictive model, or risk manager—pair it with price action, news filters, and position sizing rules.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Thanks to Duyck
for the ma sorter
T3 ATR [DCAUT]█ T3 ATR
📊 ORIGINALITY & INNOVATION
The T3 ATR indicator represents an important enhancement to the traditional Average True Range (ATR) indicator by incorporating the T3 (Tilson Triple Exponential Moving Average) smoothing algorithm. While standard ATR uses fixed RMA (Running Moving Average) smoothing, T3 ATR introduces a configurable volume factor parameter that allows traders to adjust the smoothing characteristics from highly responsive to heavily smoothed output.
This innovation addresses a fundamental limitation of traditional ATR: the inability to adapt smoothing behavior without changing the calculation period. With T3 ATR, traders can maintain a consistent ATR period while adjusting the responsiveness through the volume factor, making the indicator adaptable to different trading styles, market conditions, and timeframes through a single unified implementation.
The T3 algorithm's triple exponential smoothing with volume factor control provides improved signal quality by reducing noise while maintaining better responsiveness compared to traditional smoothing methods. This makes T3 ATR particularly valuable for traders who need to adapt their volatility measurement approach to varying market conditions without switching between multiple indicator configurations.
📐 MATHEMATICAL FOUNDATION
The T3 ATR calculation process involves two distinct stages:
Stage 1: True Range Calculation
The True Range (TR) is calculated using the standard formula:
TR = max(high - low, |high - close |, |low - close |)
This captures the greatest of the current bar's range, the gap from the previous close to the current high, or the gap from the previous close to the current low, providing a comprehensive measure of price movement that accounts for gaps and limit moves.
Stage 2: T3 Smoothing Application
The True Range values are then smoothed using the T3 algorithm, which applies six exponential moving averages in succession:
First Layer: e1 = EMA(TR, period), e2 = EMA(e1, period)
Second Layer: e3 = EMA(e2, period), e4 = EMA(e3, period)
Third Layer: e5 = EMA(e4, period), e6 = EMA(e5, period)
Final Calculation: T3 = c1×e6 + c2×e5 + c3×e4 + c4×e3
The coefficients (c1, c2, c3, c4) are derived from the volume factor (VF) parameter:
a = VF / 2
c1 = -a³
c2 = 3a² + 3a³
c3 = -6a² - 3a - 3a³
c4 = 1 + 3a + a³ + 3a²
The volume factor parameter (0.0 to 1.0) controls the weighting of these coefficients, directly affecting the balance between responsiveness and smoothness:
Lower VF values (approaching 0.0): Coefficients favor recent data, resulting in faster response to volatility changes with minimal lag but potentially more noise
Higher VF values (approaching 1.0): Coefficients distribute weight more evenly across the smoothing layers, producing smoother output with reduced noise but slightly increased lag
📊 COMPREHENSIVE SIGNAL ANALYSIS
Volatility Level Interpretation:
High Absolute Values: Indicate strong price movements and elevated market activity, suggesting larger position risks and wider stop-loss requirements, often associated with trending markets or significant news events
Low Absolute Values: Indicate subdued price movements and quiet market conditions, suggesting smaller position risks and tighter stop-loss opportunities, often associated with consolidation phases or low-volume periods
Rapid Increases: Sharp spikes in T3 ATR often signal the beginning of significant price moves or market regime changes, providing early warning of increased trading risk
Sustained High Levels: Extended periods of elevated T3 ATR indicate sustained trending conditions with persistent volatility, suitable for trend-following strategies
Sustained Low Levels: Extended periods of low T3 ATR indicate range-bound conditions with suppressed volatility, suitable for mean-reversion strategies
Volume Factor Impact on Signals:
Low VF Settings (0.0-0.3): Produce responsive signals that quickly capture volatility changes, suitable for short-term trading but may generate more frequent color changes during minor fluctuations
Medium VF Settings (0.4-0.7): Provide balanced signal quality with moderate responsiveness, filtering out minor noise while capturing significant volatility changes, suitable for swing trading
High VF Settings (0.8-1.0): Generate smooth, stable signals that filter out most noise and focus on major volatility trends, suitable for position trading and long-term analysis
🎯 STRATEGIC APPLICATIONS
Position Sizing Strategy:
Determine your risk per trade (e.g., 1% of account capital - adjust based on your risk tolerance and experience)
Decide your stop-loss distance multiplier (e.g., 2.0x T3 ATR - this varies by market and strategy, test different values)
Calculate stop-loss distance: Stop Distance = Multiplier × Current T3 ATR
Calculate position size: Position Size = (Account × Risk %) / Stop Distance
Example: $10,000 account, 1% risk, T3 ATR = 50 points, 2x multiplier → Position Size = ($10,000 × 0.01) / (2 × 50) = $100 / 100 points = 1 unit per point
Important: The ATR multiplier (1.5x - 3.0x) should be determined through backtesting for your specific instrument and strategy - using inappropriate multipliers may result in stops that are too tight (frequent stop-outs) or too wide (excessive losses)
Adjust the volume factor to match your trading style: lower VF for responsive stop distances in short-term trading, higher VF for stable stop distances in position trading
Dynamic Stop-Loss Placement:
Determine your risk tolerance multiplier (typically 1.5x to 3.0x T3 ATR)
For long positions: Set stop-loss at entry price minus (multiplier × current T3 ATR value)
For short positions: Set stop-loss at entry price plus (multiplier × current T3 ATR value)
Trail stop-losses by recalculating based on current T3 ATR as the trade progresses
Adjust the volume factor based on desired stop-loss stability: higher VF for less frequent adjustments, lower VF for more adaptive stops
Market Regime Identification:
Calculate a reference volatility level using a longer-period moving average of T3 ATR (e.g., 50-period SMA)
High Volatility Regime: Current T3 ATR significantly above reference (e.g., 120%+) - favor trend-following strategies, breakout trades, and wider targets
Normal Volatility Regime: Current T3 ATR near reference (e.g., 80-120%) - employ standard trading strategies appropriate for prevailing market structure
Low Volatility Regime: Current T3 ATR significantly below reference (e.g., <80%) - favor mean-reversion strategies, range trading, and prepare for potential volatility expansion
Monitor T3 ATR trend direction and compare current values to recent history to identify regime transitions early
Risk Management Implementation:
Establish your maximum portfolio heat (total risk across all positions, typically 2-6% of capital)
For each position: Calculate position size using the formula Position Size = (Account × Individual Risk %) / (ATR Multiplier × Current T3 ATR)
When T3 ATR increases: Position sizes automatically decrease (same risk %, larger stop distance = smaller position)
When T3 ATR decreases: Position sizes automatically increase (same risk %, smaller stop distance = larger position)
This approach maintains constant dollar risk per trade regardless of market volatility changes
Use consistent volume factor settings across all positions to ensure uniform risk measurement
📋 DETAILED PARAMETER CONFIGURATION
ATR Length Parameter:
Default Setting: 14 periods
This is the standard ATR calculation period established by Welles Wilder, providing balanced volatility measurement that captures both short-term fluctuations and medium-term trends across most markets and timeframes
Selection Principles:
Shorter periods increase sensitivity to recent volatility changes and respond faster to market shifts, but may produce less stable readings
Longer periods emphasize sustained volatility trends and filter out short-term noise, but respond more slowly to genuine regime changes
The optimal period depends on your holding time, trading frequency, and the typical volatility cycle of your instrument
Consider the timeframe you trade: Intraday traders typically use shorter periods, swing traders use intermediate periods, position traders use longer periods
Practical Approach:
Start with the default 14 periods and observe how well it captures volatility patterns relevant to your trading decisions
If ATR seems too reactive to minor price movements: Increase the period until volatility readings better reflect meaningful market changes
If ATR lags behind obvious volatility shifts that affect your trades: Decrease the period for faster response
Match the period roughly to your typical holding time - if you hold positions for N bars, consider ATR periods in a similar range
Test different periods using historical data for your specific instrument and strategy before committing to live trading
T3 Volume Factor Parameter:
Default Setting: 0.7
This setting provides a reasonable balance between responsiveness and smoothness for most market conditions and trading styles
Understanding the Volume Factor:
Lower values (closer to 0.0) reduce smoothing, allowing T3 ATR to respond more quickly to volatility changes but with less noise filtering
Higher values (closer to 1.0) increase smoothing, producing more stable readings that focus on sustained volatility trends but respond more slowly
The trade-off is between immediacy and stability - there is no universally optimal setting
Selection Principles:
Match to your decision speed: If you need to react quickly to volatility changes for entries/exits, use lower VF; if you're making longer-term risk assessments, use higher VF
Match to market character: Noisier, choppier markets may benefit from higher VF for clearer signals; cleaner trending markets may work well with lower VF for faster response
Match to your preference: Some traders prefer responsive indicators even with occasional false signals, others prefer stable indicators even with some delay
Practical Adjustment Guidelines:
Start with default 0.7 and observe how T3 ATR behavior aligns with your trading needs over multiple sessions
If readings seem too unstable or noisy for your decisions: Try increasing VF toward 0.9-1.0 for heavier smoothing
If the indicator lags too much behind volatility changes you care about: Try decreasing VF toward 0.3-0.5 for faster response
Make meaningful adjustments (0.2-0.3 changes) rather than small increments - subtle differences are often imperceptible in practice
Test adjustments in simulation or paper trading before applying to live positions
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Responsiveness Characteristics:
The T3 smoothing algorithm provides improved responsiveness compared to traditional RMA smoothing used in standard ATR. The triple exponential design with volume factor control allows the indicator to respond more quickly to genuine volatility changes while maintaining the ability to filter noise through appropriate VF settings. This results in earlier detection of volatility regime changes compared to standard ATR, particularly valuable for risk management and position sizing adjustments.
Signal Stability:
Unlike simple smoothing methods that may produce erratic signals during transitional periods, T3 ATR's multi-layer exponential smoothing provides more stable signal progression. The volume factor parameter allows traders to tune signal stability to their preference, with higher VF settings producing remarkably smooth volatility profiles that help avoid overreaction to temporary market fluctuations.
Comparison with Standard ATR:
Adaptability: T3 ATR allows adjustment of smoothing characteristics through the volume factor without changing the ATR period, whereas standard ATR requires changing the period length to alter responsiveness, potentially affecting the fundamental volatility measurement
Lag Reduction: At lower volume factor settings, T3 ATR responds more quickly to volatility changes than standard ATR with equivalent periods, providing earlier signals for risk management adjustments
Noise Filtering: At higher volume factor settings, T3 ATR provides superior noise filtering compared to standard ATR, producing cleaner signals for long-term analysis without sacrificing volatility measurement accuracy
Flexibility: A single T3 ATR configuration can serve multiple trading styles by adjusting only the volume factor, while standard ATR typically requires multiple instances with different periods for different trading applications
Suitable Use Cases:
T3 ATR is well-suited for the following scenarios:
Dynamic Risk Management: When position sizing and stop-loss placement need to adapt quickly to changing volatility conditions
Multi-Style Trading: When a single volatility indicator must serve different trading approaches (day trading, swing trading, position trading)
Volatile Markets: When standard ATR produces too many false volatility signals during choppy conditions
Systematic Trading: When algorithmic systems require a single, configurable volatility input that can be optimized for different instruments
Market Regime Analysis: When clear identification of volatility expansion and contraction phases is critical for strategy selection
Known Limitations:
Like all technical indicators, T3 ATR has limitations that users should understand:
Historical Nature: T3 ATR is calculated from historical price data and cannot predict future volatility with certainty
Smoothing Trade-offs: The volume factor setting involves a trade-off between responsiveness and smoothness - no single setting is optimal for all market conditions
Extreme Events: During unprecedented market events or gaps, T3 ATR may not immediately reflect the full scope of volatility until sufficient data is processed
Relative Measurement: T3 ATR values are most meaningful in relative context (compared to recent history) rather than as absolute thresholds
Market Context Required: T3 ATR measures volatility magnitude but does not indicate price direction or trend quality - it should be used in conjunction with directional analysis
Performance Expectations:
T3 ATR is designed to help traders measure and adapt to changing market volatility conditions. When properly configured and applied:
It can help reduce position risk during volatile periods through appropriate position sizing
It can help identify optimal times for more aggressive position sizing during stable periods
It can improve stop-loss placement by adapting to current market conditions
It can assist in strategy selection by identifying volatility regimes
However, volatility measurement alone does not guarantee profitable trading. T3 ATR should be integrated into a comprehensive trading approach that includes directional analysis, proper risk management, and sound trading psychology.
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. T3 ATR provides adaptive volatility measurement but has limitations and should not be used as the sole basis for trading decisions. The indicator measures historical volatility patterns, and past volatility characteristics do not guarantee future volatility behavior. Market conditions can change rapidly, and extreme events may produce volatility readings that fall outside historical norms.
Traders should combine T3 ATR with directional analysis tools, support/resistance analysis, and other technical indicators to form a complete trading strategy. Proper backtesting and forward testing with appropriate risk management is essential before applying T3 ATR-based strategies to live trading. The volume factor parameter should be optimized for specific instruments and trading styles through careful testing rather than assuming default settings are optimal for all applications.
ParallaxMind™️ MACD-V: Volatility Normalized Momentum Candles🚀 Award-Winning Momentum Indicator that Outperforms the Standard MACD in All Market Conditions
📈 ParallaxMind™️ MACD-V: Volatility Normalized Momentum Colored Bars with Alerts
The MACD-V (Volatility Normalized MACD) was first developed by trader Alex Spiroglou in 2015, published in a 2022 research paper, and awarded the Charles H. Dow Award for outstanding research in technical analysis.
Unlike the standard MACD, which often suffers from noisy false signals and inconsistent readings, the MACD-V introduces volatility normalization. This innovation creates a hybrid momentum tool that solves the five core limitations of the classic MACD — making signals stable across time, universally comparable across markets, and structured within a clear momentum framework.
🔑 Key Features & Benefits
Time-Stable & Cross-Market Comparable: A reading of +100 or -100 has the same meaning across decades and across assets — stocks, forex, commodities, and crypto.
Objective Momentum Framework: Levels at +150, +50, -50, and -150 create universal benchmarks to identify rallying, declining, ranging, and extreme conditions.
Alerting Capability: Built-in alerts notify you the moment momentum shifts — including crossovers, zero-line breaks, and entries into overbought/oversold zones. This ensures you never miss critical setups without constantly watching charts.
Momentum Stage Labels: Clear, automatic labels appear on your chart to define the current state of the market — Rallying, Retracing, Ranging, Declining, Rebounding, or Risk Zones. These labels cut through noise and provide instant clarity about market conditions.
With these features, the MACD-V transforms momentum analysis from subjective art into objective science, delivering cleaner entries, smarter exits, and greater confidence in any market.
ParallaxMind™️ MACD-V: Volatility Normalized Momentum w/Alerts🚀 Award-Winning Momentum Indicator that Outperforms the Standard MACD in All Market Conditions
📈 ParallaxMind™️ MACD-V: Volatility Normalized Momentum with Alerts
The MACD-V (Volatility Normalized MACD) was first developed by trader Alex Spiroglou in 2015, published in a 2022 research paper, and awarded the Charles H. Dow Award for outstanding research in technical analysis.
Unlike the standard MACD, which often suffers from noisy false signals and inconsistent readings, the MACD-V introduces volatility normalization. This innovation creates a hybrid momentum tool that solves the five core limitations of the classic MACD — making signals stable across time, universally comparable across markets, and structured within a clear momentum framework.
🔑 Key Features & Benefits
Time-Stable & Cross-Market Comparable: A reading of +100 or -100 has the same meaning across decades and across assets — stocks, forex, commodities, and crypto.
Objective Momentum Framework: Levels at +150, +50, -50, and -150 create universal benchmarks to identify rallying, declining, ranging, and extreme conditions.
Alerting Capability: Built-in alerts notify you the moment momentum shifts — including crossovers, zero-line breaks, and entries into overbought/oversold zones. This ensures you never miss critical setups without constantly watching charts.
Momentum Stage Labels: Clear, automatic labels appear on your chart to define the current state of the market — Rallying, Retracing, Ranging, Declining, Rebounding, or Risk Zones. These labels cut through noise and provide instant clarity about market conditions.
With these features, the MACD-V transforms momentum analysis from subjective art into objective science, delivering cleaner entries, smarter exits, and greater confidence in any market.
Tongo_ATRThis all-in-one tool combines ATR analysis with classic and Fibonacci pivot levels, offering a clear visual structure for trend and volatility assessment.
The script plots ATR-based support and resistance zones, recommended stop-loss levels for both long and short strategies, and pivot levels across multiple timeframes.
Key features:
• 🔹 Adjustable ATR multiplier (range 1–4)
• 🔹 Switchable pivot type — Classic or/and Fibonacci
• 🔹 Customizable lookback period and visual layout
• 🔹 Works seamlessly across all timeframes
• 🔹 Complements other technical indicators
Tongo_ATRThis all-in-one tool combines ATR analysis with classic and Fibonacci pivot levels, offering a clear visual structure for trend and volatility assessment.
The script plots ATR-based support and resistance zones, recommended stop-loss levels for both long and short strategies, and pivot levels across multiple timeframes.
Key features:
• 🔹 Adjustable ATR multiplier (range 1–4)
• 🔹 Switchable pivot type — Classic or/and Fibonacci
• 🔹 Customizable lookback period and visual layout
• 🔹 Works seamlessly across all timeframes
• 🔹 Complements other technical indicators
ATR Fibo and Pivots visualizerThis all-in-one tool combines ATR analysis with classic and Fibonacci pivot levels, offering a clear visual structure for trend and volatility assessment.
The script plots ATR-based support and resistance zones, recommended stop-loss levels for both long and short strategies, and pivot levels across multiple timeframes.
Key features:
• 🔹 Adjustable ATR multiplier (range 1–4)
• 🔹 Switchable pivot type — Classic or/and Fibonacci
• 🔹 Customizable lookback period and visual layout
• 🔹 Works seamlessly across all timeframes
• 🔹 Complements other technical indicators
Скрипт выводит на график значения пивотов (классических и Фибоначчи), значения и линии ATR с настраиваемым количеством свечей для наблюдения и отображает рекомендуемые стоп-лоссы для стратегий лонг и шорт на каждом таймфрейме. Также возможна настройка ATR в интервале 1-4. Получился в целом удобный комбайн, дополняющий другие пользовательские индикаторы
Cosmik Z-TP [ZuperView]Cosmik Z-TP is a trend-following trading system for TradingView designed to keep things simple while delivering all the core elements for effective trading, including straightforward trend analysis, a dynamic trading zone, clear entry and exit points, and built-in take-profit and stop-loss levels.
It adapts to a wide range of styles – scalping, day trading, or swing trading – and works smoothly across different bar types, making it a practical choice for traders of any experience level.
📌 Key features
🔸 Trend
Cosmik Z-TP highlights market direction and strength through its Trend Vector and Trailing Stop line, providing clear visual cues for quick trend analysis and trend confirmation.
Uptrend: When price closes above the pink Trailing Stop, the chart background turns green.
Downtrend: When price closes below the blue Trailing Stop, the background turns pink.
The shape of the Trend Vector reveals momentum:
Strong trend: The vector stays flat briefly (fewer than 10 bars) before rising or falling sharply.
Weak trend: The vector remains flat for an extended period (more than 10 bars).
These visual cues make it easy to read both the direction and the intensity of the current trend at a glance.
The trading system identifies market trends across both time-based and non-time-based charts with 2 dedicated modes:
Tick mode: Tailored for non-time-based charts such as Renko or Range. In this setting, the Trend Vector and Trailing Stop react directly to pure price movement, delivering precise trend detection without time constraints.
ninZaATR mode: Designed for time-based charts such as Minute, Second, and Hour, as well as non-time-based charts like Tick and Volume. In this mode, the Trend Vector and Trailing Stop scale with a multiple of ninZaATR, providing a clear read of market volatility within the selected timeframe.
Note: ninZaATR is an enhanced version of the Average True Range (ATR) indicator, designed to deliver smoother trend behavior on lower timeframes.
🔸 Zone
The Trading Zone is a dynamic support/resistance zone formed by the space between the Trend Vector and the Trailing Stop. It pinpoints areas where price is likely to retrace before continuing its move.
You can fine-tune how closely the zone follows price: when it tracks price more tightly, it helps capture early pullbacks; when set farther away, it detects deeper, stronger retracements.
🔸 Pullback signal
Pullback signals come from a 3-oscillator blend of MFI, RSI, and Stochastics, all filtered by the principle of following the trend.
This layered design reduces noise and delivers faster, more dependable trade setups, complete with real-time buy or sell alerts to help you stay on top of every valid entry.
Rather than reacting to the usual overbought or oversold thresholds (70/80 or 30/20), Cosmik Z-TP focuses on the oscillators’ natural tendency to move around the 50 line.
This creates a distinctive pullback-signal method:
Uptrend: When all three oscillators dip below 50, the system flags a potential pullback entry without waiting for an oversold reading.
Downtrend: When all three rise above 50, the system highlights a pullback opportunity without requiring an overbought level.
🔸 Stop and Target Levels
Cosmik Z-TP provides 2 primary ways to place stop-loss (SL) levels, both derived from the behavior of the Trailing Stop, which acts as a dynamic support or resistance and a key guide to trend direction.
These levels are designed to support effective trade and risk management:
Flat Trailing Stop Levels
When the Trailing Stop remains flat, it signals potential market weakness and forms a strong support or resistance level. The system automatically extends these flat levels across the chart, creating natural areas for stop-loss placement that help limit risk as momentum fades.
Trailing Stop Plot
Stops can also be placed directly on the active Trailing Stop line. This approach allows trades to follow the trend until it concludes, reducing premature exits while maximizing profit potential.
For take-profit levels, the same flat Trailing Stop levels already plotted on the chart serve as natural profit objectives, marking key support or resistance levels where price often pauses or reverses.
📌 Customization
The system is built for easy adjustments, allowing each part to align with your unique approach and the market’s pace.
🔸 Trend
Adjust the Trailing Stop plot to focus on short-term or long-term trends.
Use Tick mode for Range and Renko charts.
Apply ninZaATR mode for all other chart types (Minute, Range, Second, Volume, Heiken Ashi, etc.).
🔸 Zone
Control the distance between the Trailing Stop and Trend Vector relative to price to capture either early pullbacks or stronger retracements.
🔸 Signal
Set the signal frequency by adjusting the periods of the MFI, RSI, and Stochastic oscillators.
Define the maximum number of trading signals within a trend phase.
Specify the maximum number of signals allowed during a flat phase of the Trend Vector.
Time Ranges Asia SessionWe have some time ranges in the day that as the price go beyond high or low of them, it countinue. Thus the brekout strategies work well. In this indicator Asia the time ranges and the candle closes higher or lower of range with alert signal depicted. We could opt which timeframe to have the candle close and could add ATR filter to the candle for signals.
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Arisa RSI Rebound Alert (v6.2)Short description:
Simple RSI-based rebound detection with ATR confirmation — designed for traders who prefer a clean and intuitive signal.
Full description:
This indicator detects oversold and rebound phases using RSI and confirms the strength of each rebound with ATR slope analysis.
It is optimized for deep correction phases (e.g. RSI 25→35 cross), helping traders catch early reversal signals while avoiding unnecessary noise.
💡 Recommended use:
• Timeframes: 30min–4h
• Ideal for short- to mid-term rebound trades
• Combine with Heikin-Ashi or volume expansion for higher accuracy
✨ Key Features:
• Clear oversold/rebound thresholds (default RSI <25 / cross-up >35)
• Background highlight for deep oversold conditions
• Visual markers for strong vs. weak rebounds (ATR slope filter)
• Alert-ready (three conditions included)
🪶 Concept:
This script is designed for traders who value simplicity and intuition — focusing on meaningful signals rather than automation overload.
It’s for those who still want to see and feel the market before taking action.
⸻
Author:
Arisa Sanjo (Japan)
Created with the support of GPT-5, based on live trading insights from October 2025.
License:
Free to use and modify with proper attribution.
If you redistribute or enhance this script, please mention “Based on Arisa RSI Rebound Alert (v6.2)” in your description.
CyberTradingV1.4 TRexCyberTradingV1.3 — Multi-TF Volatility/Structure + FVG Suite (by College Pips)
TL;DR
One utility to read volatility regime (ATR vs TH), map market structure & swings, and track FVG/CE imbalances—so you can gauge range, context and entries in one place. No signals or promises; it’s a contextual toolkit.
What it does
Volatility table (multi-TF): Shows ATR-style and TH proxies across 1m → Monthly, so you can compare current TF vs higher TFs.
Composite levels: LQC / GAM / Trigger / TRex quantify “how much is enough” for legs/impulses relative to the active TF.
Structure & swings: Validated swing highs/lows with optional time-anchored rectangles (height sized by LQC) and auto structure/diagonal lines.
Imbalances (FVG): Auto-detect UP/DOWN FVGs, extend forward, optional CE line; alerts fire on touches/entries/fills.
Candle sizing: Directional color map by fixed ATR-ratio buckets; Inside Bars are force-colored for clarity.
How components work together (mashup rationale)
Read regime with the table (ATR vs TH per TF).
Map structure with swings/lines to see HH/HL/LH/LL context.
Focus imbalances with FVG + optional CE; monitor with alerts.
Act with thresholds using LQC/GAM/Trigger/TRex to standardize expectations across symbols/TFs.
Method transparency
ATR/TH math: ATR is a smoothed multi-window blend; TH scales the daily range to TF via √time.
Composites: LQC ≈ √(ATR×TH) × C(TF); GAM2/3/4 and Trigger/TRex apply TF-specific scalars to min/max aggregates (see source for exact coefficients).
Multi-TF: Values come from request.security and finalize on higher-TF bar close (no look-ahead).
Swings: Confirmed using left/right strengths; labels are offset back to the pivot bar.
FVG/CE: Classic 3-bar definition; CE is the midpoint line. Boxes extend until touched/filled; optional auto-delete on fill.
Usage
Enable the table to gauge expansion/contraction.
Turn on swing rectangles for LQC-sized reaction zones.
Toggle FVG + CE on your execution TF; use alerts to catch re-entries/resolutions.
Combine with price action and your own trade plan.
Limitations & fair warnings (be honest)
Offsets/past plotting: Swing labels and rectangles are anchored to past bars (offset = -right_strength). They do not predict future bars.
Repainting notes: Swings confirm after right_strength bars; higher-TF values finalize on their close. Past markings can update as confirmations occur.
Tick handling: Uses syminfo.mintick (special cases for JPY/XAU/XAG). Validate on exotic symbols.
No promises: This is a context tool, not a buy/sell signal generator.
Alerts included
ABOVE/BELOW threshold: Price crossing CE or FVG bounds.
IOFED up/down: Price entering an FVG from above/below.
Inputs (high-level)
Layout/positioning, color palettes, swing rectangle styling (width/fill/border), detection strengths, label/line widths, FVG lookback, CE on/off & style, auto-delete filled boxes.
Credits & reuse
Concepts like FVG/CE are widely known in market-microstructure education.
This implementation—table architecture, LQC/GAM/Trigger framework, swing rectangles, candle bucketing, and alert logic—is original to College Pips / CyberTradingV1.4
Trailing Stop + Profit TargetTrailing Stop + Exit Confirmation is a manual-entry tool designed to help traders visually manage trades with dynamic trailing stops and profit targets, based on ATR projections with a toggle button to reset calculations in real-time. Contains a “Short” toggle to work for short positions as well, which automatically inverses the PT and SL lines when toggled on.
Primary Calculations: Utilizes a manually adjustable entry price (default: $5 — ideal for options traders) that (when adjusted and recalculated) populates the chart with an adaptive ATR-based trailing stop line, dynamic profit target line, and optional 21-day EMA for directional context.
Below the Entry Price is a fully functional, manual reset toggle to reset all parameters mid-session to assess risk-reward based on entry price, risk tolerance, etc. followed by the “Short” toggle.
Primary Directions/Functions:
Enter your trade price in the “Manual Entry Price” field.
The script will begin plotting a dynamic trailing stop and profit target based on current market conditions.
Use the reset toggle to clear all calculations and start a new position at any time.
Customizable Settings:
ATR Length and Multiplier
Risk/Reward Profit Target Multiplier
Toggle to show/hide trailing stop, target, and EMA lines
Options Trading Use Case:
This tool is especially useful for options traders looking to manage premium-based entries (e.g., $5.00) on intraday or swing trades. The dynamic stop and target lines provide clear visual cues for scaling out or exiting based on price action, while allowing for tighter or looser risk depending on volatility (ATR).
This tool does not auto-detect entries or backtest positions. It is intended to complement your entry signals, not generate them. I've written an Options Momentum Signal indicator you can find right here which functions well in tandem with this tool.
Made for traders who execute trades manually and want typical preset guidelines for profit and stop loss signals but lets you recalculate them by simply clicking a button, especially if any major news or downturn causes a big change in market conditions so you can make adjustments in real time.
MTRADE ATR SL FINDERAverage True Range Stop Loss Finder (ATR)
This indicator automatically calculates dynamic stop-loss levels based on market volatility using the Average True Range (ATR) formula.
It provides both Long and Short stop levels derived from ATR values and adapts them in real time as volatility changes.
🔍 Features
Adjustable ATR Length (default: 20)
Four smoothing methods: RMA, SMA, EMA, WMA
Configurable Multiplier (default: 1.5× ATR)
Real-time High (Short Stop) and Low (Long Stop) lines on the chart
A clean on-chart table displaying:
ATR value
High stop level (H)
Low stop level (L)
— all shown with 7-decimal precision for accurate readings
⚙️ Use Cases
Volatility-based stop-loss and take-profit placement
Risk management and trailing-stop automation
Intraday and swing trading systems using ATR-driven exits
🧠 Technical Details
Built in Pine Script v5
Supports up to 7 decimal precision (precision=7)
Works as an overlay, displaying ATR bands directly on price action
Fully customizable colors and smoothing logic
by fiyatherseydir
Parabolic Short Criteria Parabolic Short Criteria
This indicator identifies overextended stocks that may be prime candidates for parabolic short setups, based on criteria by Bracco (@Braczyy on twitter/X) in his writeup "The Parabolic Short" (unchartedterritoryy.substack.com). One of the best in the game at Parabolic Short setups.
What It Measures:
The indicator calculates and displays metrics that quantify how overextended a stock is relative to key moving averages and its recent price action:
Distance Metrics:
ATR Extension above 50 SMA: Measures how many ATRs (Average True Range) the current price is above the 50-day Simple Moving Average. Higher values indicate extreme extension.
% Above 9/20/50/200 Moving Averages: Shows the percentage distance between current price and each key moving average level.
Momentum Metrics:
Consecutive Green Days: Counts how many days in a row the stock has closed higher
Consecutive Gap Ups: Tracks sequential gap-up openings (today's low > yesterday's high)
Range Expansion: Analyzes how many of the last 4 days showed larger percentage moves than the prior day
Volume Expansion: Counts consecutive days of increasing volume
Color Coding System:
Each metric uses a 4-tier color system for quick visual assessment:
Dark Green: Extremely overextended (highest alert level)
Light Green: Significantly overextended
Yellow: Moderately overextended
Red: Not overextended
Use Case:
This indicator is designed for traders looking to identify parabolic moves that have reached unsustainable levels. When multiple metrics show dark green or green, the stock may be due for a pullback or reversal. Not all criteria are often met at once, but the more the better.
1m Scalping ATR (with SL & Zones)A universal ATR indicator that anchors volatility to your stop-loss.
Read any market (FX, JPY pairs, Gold/Silver, indices, crypto) consistently—regardless of pip/point conventions and timeframe.
Why this indicator?
Classic ATR is absolute (pips/points) and feels different across markets/TFs. ATR Takeoff normalizes ATR to your stop-loss in pips and highlights clear zones for “quiet / ideal / too volatile,” so you instantly know if a 10-pip SL fits current conditions.
Key features
Auto pip detection (FX, JPY, XAU/XAG, indices, BTC/ETH).
Selectable ATR source: chart timeframe or fixed ATR TF (e.g., “15”, “30”, “60”).
Display modes:
Percent of SL – ATR relative to SL in %, great for M1 (typical 10–30%).
Multiple of SL – ATR as a multiple of SL (e.g., 0.6× / 1.0× / 1.2×).
Panel zones:
Green = “Ready for takeoff” (≤ Low), Yellow = reference (Mid), Red = too volatile (≥ High).
Status badge (top-right): Quiet / ATR ok / Wild, current ATR/SL value, ATR TF used.
Direction-agnostic: Works the same for longs and shorts.
Inputs (at a glance)
Length / Smoothing (RMA/SMA/EMA/WMA): ATR base settings.
Your Stop-Loss (Pips): Reference SL (e.g., 10).
ATR Timeframe (empty = chart): Use chart TF or a fixed TF.
Display Mode: “Percent of SL” or “Multiple of SL.”
Low/Mid/High (Percent Mode): Zone thresholds in % of SL.
Low/Mid/High (Multiple Mode): Zone thresholds in ×SL.
Recommended defaults
Length 14, Smoothing RMA, SL 10 pips
Display Mode: Percent of SL
Low/Mid/High (%): 15 / 20 / 25
ATR Timeframe: empty (= chart) for reactive, or “30” for smoother M30 context with M1 entries.
How to use
Set SL (pips). 2) Choose display mode. 3) Optionally pick ATR TF.
Interpretation:
≤ Low (green): setups allowed.
≈ Mid (yellow): neutral reference.
≥ High (red): too volatile → adjust SL/size or wait.
Note: Auto-pip relies on common ticker naming; verify on exotic symbols.
Disclaimer: For research/education. Not financial advice.
Daily trend flip system📈 System 1 — Daily Trend Flip Screener
System 1 (Daily) is a trend-following screener indicator designed to help traders quickly identify assets showing strong bullish momentum, meaningful volatility, and solid liquidity.
By combining an EMA crossover with ATR filtering, this tool filters out weak or noisy signals and focuses on clean daily breakouts.
🧭 How it works
EMA Trend Flip — Signals when the fast EMA crosses above the slow EMA with an ATR-based buffer, reducing false triggers in chop.
ATR% Filter — Shows the 20-day average true range as a percentage of price to highlight assets with real movement.
$ Volume Filter — Displays average daily dollar volume over the past 20 days to ensure liquidity.
Days Since Long Trigger — Tracks how many trading days have passed since the last bullish flip, making it easy to find fresh momentum.
📊 Screener Columns
✅ LongSignal_1or0 — 1 if currently in a long signal
📈 ATR20_pct — 20-day ATR as a % of price
💰 ADDV20 — 20-day average daily dollar volume
⏳ DaysSinceLong — days since the last long trigger
💡 Use Cases
Quickly scan for daily breakout setups
Combine volatility and liquidity filters to narrow down quality tickers
Catch new momentum trades early in their trend
Build cleaner watchlists without manually scanning dozens of charts
TF weekly System 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Final trend following weeklySystem 1 — Weekly Trend Flip Indicator
System 1 (Weekly) is a simple trend-following indicator that uses weekly EMAs with ATR filtering to highlight strong directional shifts.
📈 Uses weekly fast & slow EMAs
🧭 ATR filter removes weak or choppy signals
🟢 Bullish regime = fast EMA above slow + ATR margin
🔴 Bearish regime = fast EMA below slow − ATR margin
⚪ Neutral when neither condition is met
Works on any chart timeframe, but signals are based on weekly data
Ideal for position traders and longer-term swing trading
💡 Tip: Use this indicator to confirm larger trend direction and combine with lower timeframe strategies for entry timing.
Trend following system WeeklySystem 1 — Weekly Trend Flip Strategy
System 1 (Weekly) is a trend-following strategy designed to trigger only on weekly timeframe signals.
It aims to catch clean trend shifts and avoid lower-timeframe noise.
Uses fast and slow EMAs with ATR filtering to detect strong weekly momentum
Enters long on a bullish flip of the EMAs
Exits on a bearish flip or neutral zone (optional)
Ideal for position traders, swing traders, and investors who want fewer, higher-quality signals
Signals are generated only on weekly candle closes
📊 Tip: This strategy works best on assets with clear medium-term trends. You can use it alongside daily or intraday systems for additional confirmation.
Trend following system with ADR and volumeSystem 1 — Trend Flip Strategy
System 1 is a simple trend-following strategy that enters on a bullish EMA flip and exits when the trend weakens or reverses. It’s built to catch clean moves and avoid chop.
Uses fast and slow EMAs with ATR filtering to detect real momentum
Enters long on a bullish flip
Exits on a bearish flip or neutral zone (optional)
Clear signals with easy-to-read entry and exit markers
Great for trending markets and momentum setups
Tip: Test across multiple timeframes and pair with volume or higher-timeframe confluence for stronger signals.
