Polynomial Regression Channel [ChartPrime]⯁ OVERVIEW
The Polynomial Regression Channel fits price action using advanced polynomial regression, extending beyond simple linear or logarithmic models. By leveraging matrix calculations, it builds a curved regression line that adapts to swings more naturally. The channel includes extrapolated forward projections, helping traders visualize where price may gravitate in the near future. Midline color shifts reflect directional bias, while prediction ranges are marked with dashed extensions, labeled prices, and a live table for clarity.
⯁ KEY FEATURES
Polynomial Regression Core:
Uses matrix algebra to calculate a polynomial fit of customizable degree, adapting to complex, non-linear market structures.
polyreg(source, length, degree, extrapolate) =>
total = length + extrapolate
X_all = matrix.new(total, degree + 1, 0.0)
for i = 0 to total - 1
for j = 0 to degree
matrix.set(X_all, i, j, math.pow(i, j))
// y (length × 1), oldest→newest over the fit window
y = matrix.new(length, 1, 0.0)
for i = 0 to length - 1
matrix.set(y, i, 0, source )
// X_train (first `length` rows of X_all)
X_tr = matrix.new(length, degree + 1, 0.0)
for i = 0 to length - 1
for j = 0 to degree
matrix.set(X_tr, i, j, matrix.get(X_all, i, j))
// OLS via normal equations: (X'X)^(-1)b = X'y ⇒ b = (X'X)^(-1) X'y
Xt = matrix.transpose(X_tr) // X'
XtX = matrix.mult(Xt, X_tr) // (X'X)
Xty = matrix.mult(Xt, y) // X'y
XtX_inv = matrix.inv(XtX) // (X'X)^(-1)
b = matrix.mult(XtX_inv, Xty) // b = (X'X)^(-1) X'y
// Predictions for all rows (fit + extrap)
preds = matrix.mult(X_all, matrix.col(b,0))
preds
Extrapolated Future Projections:
Forward-looking range (dashed lines + circular markers) shows where the fitted polynomial suggests price may move.
Dynamic Midline Coloring:
Regression midline shifts green when slope turns upward and magenta when slope turns downward, giving instant directional context.
Channel Boundaries:
Upper and lower levels expand from the midline using a volatility-based offset, framing potential overbought and oversold conditions.
Top-Right Data Table:
A live table displays Upper, Middle, and Lower Prediction values, updating in real time for quick reference without scanning the chart.
⯁ USAGE
Use the regression midline to gauge underlying market bias; green slopes suggest continuation, magenta slopes caution for weakness.
Watch dashed extrapolated ranges as potential targets or reaction zones during upcoming sessions.
Price labels and table values act as precise reference levels for planning entries, exits, or stop placement.
Increase Degree for more curve-fitting on choppy markets, or keep it low for broader trend approximation.
Adjust Period and Extrapolate length to balance stability vs. responsiveness.
⯁ CONCLUSION
The Polynomial Regression Channel offers a mathematically advanced way to visualize price trends and anticipate future paths. With matrix-driven polynomial fitting, extrapolated projections, and integrated live labels, it combines statistical rigor with practical trading visuals — a robust upgrade over standard regression channels.
Bands and Channels
Apex Trend & Liquidity Master (SMC)v7.212121239879546469/7594
Apex Trend & Liquidity Master (SMC)v7.2
Key Price Levels + Zones"Support and resistance are rarely exact lines; hey are zones where price reacts."
This indicator upgrades standard horizontal levels by visualizing Liquidity Zones around the most critical intraday reference points: Pre-Market, Previous Day, and Previous Week Highs/Lows.
Unlike basic scripts that just draw thin lines, this tool combines the precision of exact price levels with the reality of market volatility. It offers deep customization, allowing you to separate line colors from zone colors, perfect for keeping your charts clean and professional.
Key Features
1. Dual Zone Logic (Dynamic Sizing)
• Price Tier Mode (Default): Zones are sized based on the asset price (e.g., higher-priced stocks get wider zones automatically). This mimics "psychological" levels.
• ATR Volatility Mode: Switches calculation to use the Average True Range (ATR). Zones expand during high volatility and contract during chop, adapting to the market conditions in real-time.
2. Ultimate Customization
• Separate Colors: You can finally set your Line Color (e.g., Bright Green) independently from your Zone Fill (e.g., Faint Grey).
• Individual Toggles: Turn the Line, Zone, or Label on/off individually for every single level.
• Line Styles: Differentiate daily levels (Solid) from weekly levels (Dashed) instantly.
3. The "Smart" Levels
• PM High/Low: Real-time Pre-Market tracking that freezes at the open.
• PD High/Low: Previous Day’s range.
• PW High/Low: Previous Week’s range (Critical for swing points).
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Settings Guide
• Extension Style:
- Individual: Keeps history of levels for backtesting.
- Most Recent: Keeps the chart minimal by extending only today's levels.
• Zone Thickness Mode: Switch between "Price Tier" and "ATR Volatility".
• ATR Settings: Fully adjustable Length and Multiplier (when in ATR mode).
• Transparency: Global slider to control how subtle or bold the zones appear.
How to Trade This
• The "Trap": If price breaks a Line but fails to close outside the Zone, it is often a liquidity grab (fakeout).
• The Retest: Watch for price to break a level and use the Zone as a cushion for a bounce/retest entry.
Gridbot Ping Pong🏓 Gridbot Ping Pong is a dynamic grid bot indicator that generates buy and sell signals as price oscillates between automatically calculated support and resistance levels. The grid adapts to trending markets through adjustable tilt and anchor parameters, which control the grid slope and shift resistance respectively. Entry signals trigger when price touches grid levels, while take profit and stop signals manage position exits. Unlike traditional grid bots that require horizontal ranges, this indicator maintains its oscillation zone as price trends by tilting and shifting the grid structure to follow momentum. The grid bot approach aims to accumulate gains through frequent touches across multiple grid levels rather than seeking large directional moves. Like a ping pong ball in motion, price oscillates between grid levels — each touch generates a signal.
⚡ THEORY & CONCEPTS ⚡
Grid trading is a systematic approach that places buy and sell orders at predetermined price intervals, creating a grid of orders above and below a set price level. In ranging markets, this method capitalizes on natural price oscillations by buying at lower grid levels and selling at higher ones. Each completed round trip between levels represents a captured opportunity, and the frequency of these oscillations determines the grid's effectiveness. Traditional grid bots excel when price remains within the defined range, methodically accumulating gains as price bounces between levels.
However, traditional grid structures face significant challenges when markets begin to trend. Fixed horizontal levels that performed well during consolidation become liabilities during directional moves. An uptrend leaves buy orders unfilled while sell orders trigger prematurely, and a downtrend creates the opposite problem. Extended trends can result in accumulated positions at increasingly unfavorable prices, with no mechanism to adapt to the new market reality. The static nature of traditional grids assumes markets will return to the mean, yet sustained breakouts regularly invalidate this assumption.
Gridbot Ping Pong addresses these limitations through dynamic grid adaptation. The tilt parameter angles the grid in the direction of the prevailing trend, aligning support and resistance levels with market momentum rather than fighting against it. The anchor parameter creates buffer zones beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a grid shift. When price breaks through these buffers, the entire grid recenters to the new price level. This combination of tilting grids and controlled shifting allows the indicator to maintain grid trading mechanics while acknowledging that markets trend.
The grid adapts through a downtrend and early reversal. Entry signals (▲▼), take profit signals (△▽), and grid shifts demonstrate the ping pong sequence as price oscillates between levels.
The grid structure consists of five levels: two potential support levels below, a center base price, and two potential resistance levels above. These levels are calculated as percentage intervals from a dynamic base price, with the spacing parameter determining the distance between each level. Trend direction is derived from consecutive grid shifts, where multiple shifts in the same direction confirm momentum. The grid restricts entries to the trend direction — buy signals in uptrends, sell signals in downtrends — while counter-trend signals convert to exits when appropriate.
Full market cycle demonstrating grid adaptation through rally, reversal, decline, and recovery. Buy signals dominate during uptrends, sell signals during downtrends, with take profits at boundaries throughout. Two stop signals mark the trend reversals.
Tilt
The tilt mechanic introduces slope to the grid structure based on trend direction and momentum. When consecutive shifts occur in the same direction, the tilt increases, creating a steeper grid that tracks with the trend. As the trend progresses, support levels rise with it — buy signals trigger on pullbacks to these rising levels rather than static levels abandoned by price. Similarly, resistance levels fall during downtrends, keeping sell signals relevant to current price action. If the trend reverses and shifts occur in the opposite direction, the tilt resets and begins building in the new direction. The tilt strength parameter controls how aggressively the grid slopes, with higher values producing steeper angles. Negative tilt values invert this relationship, angling the grid against the prevailing momentum rather than with it. This counter-trend configuration positions support levels lower during uptrends and resistance levels higher during downtrends, favoring mean reversion entries that anticipate pullbacks rather than continuation.
Negative tilt applied during an uptrend. Despite the bullish price action from late November through December, the grids slope downward, positioning buy signals at deeper support levels. Take profit signals appear at resistance as price reaches the upper grid boundaries before pulling back. The counter-trend configuration captures oscillations within the rising market rather than chasing momentum.
Anchor
The anchor mechanic provides resistance to grid shifting. Buffer zones extend beyond the outer grid boundaries, requiring price to demonstrate conviction before triggering a shift. Higher anchor values create larger buffers, requiring more significant price movement. As consecutive shifts confirm a trend, the pro-trend buffer shrinks, allowing the grid to follow momentum with increasing ease. This lets the indicator commit to established trends while resisting premature shifts during consolidations. Tilt and anchor work in complementary tension: tilt rewards momentum by angling the grid, while anchor resists excessive shifting by requiring price conviction to recenter. When price breaks through these buffers, the entire grid recenters to the new price level and play continues on a fresh table.
Steady uptrend with minimal tilt. The flat grid segments demonstrate that shifting alone keeps the grid aligned with price action. Buy signals (▲) and take profit signals (▽) alternate as price bounces between levels, accumulating gains through repetition across the entire move.
Sustained uptrend from June through September. The grid follows the trend with increasing ease as consecutive shifts reduce the pro-trend buffer. The October consolidation eventually triggers a downward shift and stop signal, but the system adapts to the renewed uptrend in November with fresh entry signals.
Signal Generation
The indicator generates three signal types. Entry signals (▲▼) trigger when price reaches a grid level in the direction of the trend, initiating a new position. Take profit signals (△▽) trigger when price reaches a grid level against the trend direction while a position is held, capturing gains as the rally continues. Stop signals (⦿) trigger when a grid shift occurs while holding a position adverse to the new shift direction. The ball goes off the table.
Trend reversal from bearish to bullish. The grid follows the downtrend through November with consecutive sell signals. A stop signal (⦿) triggers at the bottom as the grid shifts adversely against the held position. The system resets and adapts to the emerging uptrend in December, generating fresh buy signals as the new direction establishes.
Trigger Options
The signal trigger determines what price data the indicator uses to detect grid touches, balancing responsiveness against confirmation.
Auto : The default setting, using wick-based detection for pro-trend signals and close-based detection for counter-trend signals. This balances responsiveness when entering with the trend against confirmation when signaling against it.
Wick Touch : Generates signals in real-time when the high or low touches a grid level, providing the fastest response to price interaction.
Wick Reverse : Requires the wick to cross through the grid level from the previous bar, confirming the touch before signaling.
SWMA : Uses a Symmetrically Weighted Moving Average as the trigger source, generating signals only when the smoothed price crosses grid levels.
Close : Uses the bar's closing price as the trigger source, providing confirmed signals after each bar completes.
Symmetrically Weighted Moving Average (SWMA) trigger during a trend reversal. The smoothed price line filters intrabar noise, generating signals only when the SWMA crosses grid levels rather than reacting to wick touches. The grid follows the downtrend through November, resets at the bottom, and adapts to the emerging uptrend in December.
Signal Safeguards
The indicator includes built-in protections to reduce overtrading and mitigate risk, keeping the ball in play longer:
Boundary Protection : New entries are blocked at the outermost grid levels where breakout risk is highest. Exits remain permitted at these boundaries.
Signal Spacing : Signals maintain one-level separation from the most recent signal, preventing clusters of entries at similar prices.
Trend Alignment : When conflicting conditions arise, signals align with the prevailing trend direction rather than fighting momentum.
Automatic Profit Taking : Counter-trend interactions convert to take profit signals when a position is held, capturing gains rather than reversing exposure.
Adverse Shift Stops : When the grid shifts against a held position, a stop signal triggers to exit before further adverse movement.
Cautious Breakout Entries : On the first shift in a new direction, entries are restricted to favorable grid levels until the trend confirms through consecutive shifts.
Shift Resistance : Counter-trend shifts always require full buffer conviction, while pro-trend shifts become easier only after the trend is confirmed.
🛠️ CONFIGURATION & SETTINGS 🛠️
Core Parameters
SPACING (%) : Sets the percentage distance between grid levels. Higher values create wider grids with more room between signals, lower values create tighter grids with more frequent signal opportunities.
TRIGGER : Selects the price source for signal detection. See Trigger Options above.
TILT : Controls the grid slope factor in the trend direction.
ANCHOR : Controls resistance to grid shifting.
Visual Settings
GRIDS : Sets the colors for support (lower) and resistance (upper) grid levels.
FILL : Sets the gradient fill colors between the price line and outer grid boundaries.
SWMA : Sets the color of the Symmetrically Weighted Moving Average line.
🏓 PLAYING GRIDBOT PING PONG 🏓
⚪The objective is not to predict where price will go, but to be present at each level when it arrives.
⚪Each touch at a boundary counts. Gains accumulate through repetition, not single swings.
⚪The rally continues until it doesn't. When the ball goes off the table, the game resets.
⚪The grid creates boundaries where price bounces back and forth. The table is set — the ball does the work.
⚪Price oscillates between defined levels. The grid is the table. Everything else is just ping pong.
Tennis is a form of ping pong. In fact, tennis is ping pong played while standing on the table. In fact, all racquet games are nothing but derivatives of ping pong. — George Carlin
⚠️ DISCLAIMER ⚠️
The Gridbot Ping Pong indicator is a visual analysis tool designed to illustrate grid trading concepts and serve as a framework for understanding grid bot mechanics. While the indicator generates entry, exit, and stop signals, no guarantee is made regarding the profitability of these signals. Like all technical indicators, the grid levels and signals generated by this tool may appear to align with favorable trading opportunities in hindsight. However, these signals are not intended as standalone recommendations for trading decisions. This indicator is intended for educational and analytical purposes, complementing other tools and methods of market analysis.
🧠 BEYOND THE CODE 🧠
Gridbot Ping Pong is part of the Grid Bot Series, building on the concepts introduced in the Grid Bot Simulator , Grid Bot Auto , and Grid Bot Parabolic indicators. While those tools established the foundation for grid-based analysis, this indicator introduces dynamic tilt and anchor mechanics that adapt to trending market conditions.
This indicator shares the same educational philosophy as the Fibonacci Time-Price Zones and the Fibonacci Geometry Series - providing frameworks for understanding market concepts through visualization and experimentation rather than black-box signals.
The Gridbot Ping Pong indicator, like other xxattaxx indicators , is designed to encourage both education and community engagement. Feedback and insights are invaluable to refining and enhancing this tool. We look forward to the creative applications, observations, and discussions this indicator inspires within the trading community.
RCAzussie_HAMA Candles Final HAMA Candles & Auto S/R System
* Overview
This indicator combines the trend-following power of HAMA (Heiken Ashi Moving Average) candles with an Automated Support & Resistance system. It is designed to filter out market noise and identify key reversal levels efficiently.
* Key Features
HAMA Candles (Trend)
Smoothed candles help visualize the true market trend.
Green: Bullish Trend
Red: Bearish Trend
Includes a central MA line with gradient colors to indicate trend strength.
Auto Support & Resistance (Levels)
Automatically plots dynamic S/R levels based on pivot points.
Level 1 (White): Short-term (Lookback 5) - For scalping.
Level 2 (Yellow): Mid-term (Lookback 10) - For swing trading.
Level 3 (Orange): Long-term (Lookback 20) - Strongest levels.
* Simplified Alerts
MA Cross (Any): Triggers when price crosses the main MA line (Trend entry/exit).
Major S/R Touch: Triggers ONLY when price touches the strongest Level 3 lines (Reversal check).
* Recommended Chart Setup (Important)
Use Range Bars: This system is optimized for Range Charts, not standard time-based candles (e.g., 1m, 5m).
Focus on Price: Range bars ignore the time axis completely and generate new bars only when the price moves a specific amount. This eliminates time-based noise.
How to Set:
Click the timeframe menu in the top bar.
Select "Range".
Choose a value based on volatility (e.g., 40R for scalping, 100R for crypto/indices).
HAMA 캔들 & 자동 지지저항 시스템
* 개요:
이 지표는 HAMA (Heiken Ashi Moving Average) 캔들의 추세 추종 기능과 자동 지지/저항(S/R) 시스템을 결합한 도구임. 시장의 노이즈를 제거하고 핵심 반전 구간을 찾는 데 최적화됨.
* 핵심 기능
HAMA 캔들 (추세)
노이즈가 제거된 부드러운 캔들로 진짜 추세를 보여줌.
초록색: 상승 추세
빨간색: 하락 추세
중앙 MA 라인의 그라디언트 색상으로 추세 강도를 시각적으로 확인 가능.
자동 지지 & 저항 (레벨)
피봇 포인트 기반으로 지지/저항선을 자동 작도함.
Level 1 (흰색): 단기 (Lookback 5) - 스캘핑용
Level 2 (노란색): 중기 (Lookback 10) - 스윙용
Level 3 (주황색): 장기 (Lookback 20) - 가장 강력한 지지/저항 구간
간편 알람 (Alerts)
MA Cross (Any): 가격이 중앙 MA 라인을 돌파할 때 울림 (진입/청산 신호).
Major S/R Touch: 가장 강력한 Level 3 라인을 터치할 때만 울림 (반전 확인용).
* 추천 차트 설정 (필독)
레인지(Range) 차트 사용: 이 지표는 일반적인 시간 봉(분봉, 시봉)이 아니라 레인지 바에 최적화되어 있음.
가격 집중: 시간의 흐름(X축)을 무시하고, 오직 '가격'이 움직일 때만 캔들이 생성됨. 이렇게 하면 횡보 구간의 노이즈가 사라짐.
설정 방법:
트레이딩뷰 상단 시간 메뉴 클릭.
'Range' 선택.
자산 변동성에 맞춰 값 설정 (예: 스캘핑은 40R, 비트코인/지수는 100R 추천).
알씨아저씨
BLOG: blog.naver.com
VectorPulse Pro v3█ VECTORPULSE PRO v3 - Institutional Trend Detection
A multi-factor confirmation system designed for SPY, QQQ, and IWM on 5m/15m timeframes.
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HOW TO USE
▲ LONG SIGNAL
• Enter when green "▲ LONG" label appears
• Place stop-loss below recent swing low
• Target: 1.5-2x risk or next resistance level
▼ SHORT SIGNAL
• Enter when red "▼ SHORT" label appears
• Place stop-loss above recent swing high
• Target: 1.5-2x risk or next support level
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SIGNAL QUALITY
Each signal shows a score (e.g., "6/7") indicating how many filters passed:
• 7/7 = Highest conviction
• 5-6/7 = Strong signal
• Below 5 = Signal filtered out
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CONFIRMATION FILTERS
✓ Momentum - Price moving in signal direction
✓ Volume - Above-average volume on breakout
✓ RSI - Not overbought/oversold
✓ VWAP - Long above, Short below
✓ EMA - 9/21 EMA trend alignment
✓ ATR - Volatility expansion
✓ Candle - Strong body confirmation
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BEST PRACTICES
1. Trade with the trend (check dashboard bias)
2. Wait for pullbacks to trend line
3. Avoid signals during first/last 30 min
4. Higher timeframe = stronger signals
5. Use dashboard to monitor filter status
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SETTINGS BY TICKER
SPY: Default settings
QQQ: Channel Width 2.5
IWM: Channel Width 3.2
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Nifty OI Support Resistance This study is designed for educational purposes to assist traders in analyzing price structure on the Nifty 50 index. It creates visual reference zones based on standard mathematical intervals used in the derivatives market.
Purpose of the Tool: In the Nifty 50 index, price action is often analyzed relative to "Round Numbers" or standard strike intervals (e.g., multiples of 50). This script automatically plots these mathematical reference levels relative to the current price to help users observe price behavior.
How It Works: This indicator uses a mathematical formula to identify the nearest standard strike price intervals based on the current close price.
Strike Logic: It projects levels at standard 50-point intervals (Nifty's standard strike distance).
Volatility Buffers: It adds a user-defined buffer (default: 30 points) around these levels to visualize a "zone" rather than a specific price point.
Major Levels: It visually distinguishes major round numbers (multiples of 500) which are often significant for technical analysis.
Features:
Automated Plotting: Adjusts dynamically as price moves to show relevant upper and lower reference bands.
Zone Visualization: Helps in identifying potential areas of support or resistance based on technical structure.
Customizable: Users can adjust the strike distance and buffer range to suit different volatility conditions.
Usage: This tool is intended to be used as a visual aid for Technical Analysis. It allows users to see where the price is located relative to standard Nifty intervals.
⚠️ STANDARD DISCLAIMER & DISCLOSURE:
Nature of Content: This script and description are for educational and informational purposes only.
No Financial Advice: This tool does not constitute investment advice, buy/sell recommendations, or trading tips.
Not SEBI Registered: The author is not a SEBI registered Research Analyst (RA) or Investment Advisor (IA).
Methodology: The levels displayed are generated purely via mathematical calculation based on price inputs and do not represent real-time exchange Open Interest data.
Risk Warning: Trading in securities market is subject to market risks. Read all the related documents carefully before investing. User discretion is advised.
Price-Time Confluence Engine
Price-Time Confluence Engine is a dual-layer market analysis indicator designed to synchronize price-based targets with time-based momentum projections, helping traders anticipate potential reaction points, reversals, and momentum shifts.
The indicator combines adaptive ATR price targets with deviation context on the chart, alongside a forward-projected Stochastic RSI structure in a dedicated pane.
🔹 Core Components
1️⃣ Adaptive Price Targets (Chart Overlay)
On every new candle, a new ATR-based price target is generated automatically.
The target updates dynamically with live price movement until the candle closes.
Targets are directionally aligned with the current candle’s momentum.
A HIT label is displayed when price reaches the active target during the candle.
Behavioral Insight
If a target fails to be hit and remains red after the next candle forms, this behavior has shown a tendency to correlate with short-term swing reversals, signaling potential exhaustion or loss of momentum.
2️⃣ Mean & Deviation Framework
A configurable mean (moving average) is plotted with up to four deviation bands.
Deviation bands provide contextual boundaries for price targets and help visually frame volatility expansion or compression.
An optional filter allows HIT labels to require alignment with the first deviation band.
3️⃣ Stochastic RSI Projection (Indicator Pane)
The lower pane displays live Stochastic RSI %K and %D values.
A historical Stoch RSI pattern is cloned and projected forward in time, creating a time-based momentum forecast.
The projection highlights anticipated crossing points between %K and %D before they occur.
A single dynamic “Projected Cross” label marks the next expected crossing location.
Vertical reference lines and directional arrows help visualize projected momentum shifts.
Important Note on Timeframes
The projection logic is optimized for the Daily timeframe.
Other timeframes may require different lookback settings for meaningful alignment.
Price-based targets and deviation logic function on any timeframe.
🔧 User Controls
ATR length and multiplier
Mean length and deviation depth
Number of deviation bands displayed
Label visibility and history limits
Projection visibility and forward shift
Optional normalization of projected momentum
Visual toggles for arrows, vertical lines, and labels
📈 How to Use
Observe the active price target forming with each new candle.
Watch whether price hits or fails to hit the target before the next candle.
Use deviation bands to contextualize where targets sit within volatility structure.
Reference the Projected Cross in the lower pane to anticipate potential momentum transitions.
Look for confluence between unhit targets and projected momentum shifts as potential inflection zones.
⚠️ Disclaimer
This indicator is a visual analysis and decision-support tool.
It does not generate trade signals and should be used in conjunction with proper risk management and additional market context.
Velocity Divergence Radar [JOAT]
Velocity Divergence Radar - Momentum Physics Edition
Overview
Velocity Divergence Radar is an open-source oscillator indicator that applies physics concepts to market analysis. It calculates price velocity (rate of change), acceleration (rate of velocity change), and jerk (rate of acceleration change) to provide a multi-dimensional view of momentum. The indicator also includes divergence detection and force vector analysis.
What This Indicator Does
The indicator calculates and displays:
Velocity - Rate of price change over a configurable period, smoothed with EMA
Acceleration - Rate of velocity change, showing momentum shifts
Jerk (3rd Derivative) - Rate of acceleration change, indicating momentum stability
Force Vectors - Volume-weighted acceleration representing market force
Kinetic Energy - Calculated as 0.5 * mass (volume ratio) * velocity squared
Momentum Conservation - Tracks momentum relative to historical average
Divergence Detection - Identifies when price and velocity diverge at pivots
How It Works
Velocity is calculated as smoothed rate of change:
calculateVelocity(series float price, simple int period) =>
float roc = ta.roc(price, period)
float velocity = ta.ema(roc, period / 2)
velocity
Acceleration is the change in velocity:
calculateAcceleration(series float velocity, simple int period) =>
float accel = ta.change(velocity, period)
float smoothAccel = ta.ema(accel, period / 2)
smoothAccel
Jerk is the change in acceleration:
calculateJerk(series float acceleration, simple int period) =>
float jerk = ta.change(acceleration, period)
float smoothJerk = ta.ema(jerk, period / 2)
smoothJerk
Force is calculated using F = m * a (mass approximated by volume ratio):
calculateForceVector(series float mass, series float acceleration) =>
float force = mass * acceleration
float forceDirection = math.sign(force)
float forceMagnitude = math.abs(force)
Signal Generation
Signals are generated based on velocity behavior:
Bullish Divergence: Price makes lower low while velocity makes higher low
Bearish Divergence: Price makes higher high while velocity makes lower high
Velocity Cross: Velocity crosses above/below zero line
Extreme Velocity: Velocity exceeds 1.5x the upper/lower zone threshold
Jerk Extreme: Jerk exceeds 2x standard deviation
Force Extreme: Force magnitude exceeds 2x average
Dashboard Panel (Top-Right)
Velocity - Current velocity value
Acceleration - Current acceleration value
Momentum Strength - Combined velocity and acceleration strength
Radar Score - Composite score based on velocity and acceleration
Direction - STRONG UP/SLOWING UP/STRONG DOWN/SLOWING DOWN/FLAT
Jerk - Current jerk value
Force Vector - Current force magnitude
Kinetic Energy - Current kinetic energy value
Physics Score - Overall physics-based momentum score
Signal - Current actionable status
Visual Elements
Velocity Line - Main oscillator line with color based on direction
Velocity EMA - Smoothed velocity for trend reference
Acceleration Histogram - Bar chart showing acceleration direction
Jerk Area - Filled area showing jerk magnitude
Vector Magnitude - Line showing combined vector strength
Radar Scan - Oscillating pattern for visual effect
Zone Lines - Upper and lower threshold lines
Divergence Labels - BULL DIV / BEAR DIV markers
Extreme Markers - Triangles at velocity extremes
Input Parameters
Velocity Period (default: 14) - Period for velocity calculation
Acceleration Period (default: 7) - Period for acceleration calculation
Divergence Lookback (default: 10) - Bars to scan for divergence
Radar Sensitivity (default: 1.0) - Zone threshold multiplier
Jerk Analysis (default: true) - Enable 3rd derivative calculation
Force Vectors (default: true) - Enable force analysis
Kinetic Energy (default: true) - Enable energy calculation
Momentum Conservation (default: true) - Enable momentum tracking
Suggested Use Cases
Identify momentum direction using velocity sign and magnitude
Watch for divergences as potential reversal warnings
Use acceleration to detect momentum shifts before price confirms
Monitor jerk for momentum stability assessment
Combine force and kinetic energy for conviction analysis
Timeframe Recommendations
Works on all timeframes. Higher timeframes provide smoother readings; lower timeframes show more granular momentum changes.
Limitations
Physics analogies are conceptual and not literal market physics
Divergence detection uses pivot-based lookback and may lag
Force calculation uses volume ratio as mass proxy
Kinetic energy is a derived metric, not actual energy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
Donchian FlowDonchain Flow is a breakout indicator inspired by Donchian channels, using a customizable block size to detect market swings. It generates buy/sell signals only on high-volume breakouts (RVOL > threshold) in strong trends (ADX > threshold), filtering out noisy/choppy periods. Visuals include channel lines, regime background coloring (green: bullish, red: bearish, gray: weak trend), and labeled signals for optimal entries. Ideal for trend-following strategies. Despite its simplicity, it performs surprisingly well. I recommend reviewing it for scalping.
Ping-Pong Fade (BB + Absorption Proxy)Ping-Pong Fade is a short-term mean-reversion indicator designed to capitalize on range-bound, low-catalyst market conditions. The setup targets price extremes where directional follow-through fails and liquidity absorption occurs, causing price to revert back toward equilibrium.
When price reaches a statistical extreme (±2 standard deviations) without acceptance, aggressive orders are absorbed rather than expanded. This imbalance frequently leads to a controlled reversal back toward the mean.
1. Bollinger Band Extreme
Upper Band (2 SD) → potential short fade
Lower Band (2 SD) → potential long fade
2. Absorption Proxy (Tape Substitute)
Absorption is inferred using:
Volume expansion relative to recent average
Small candle body (lack of continuation)
Rejection from the Bollinger Band extreme
Signals
FADE ↑ → Long setup at lower band with absorption
FADE ↓ → Short setup at upper band with absorption
Signals are plotted directly on the chart and can be used with alerts.
Ideal Market Conditions
Sideways or rotational markets
Midday consolidation
Low-volatility environments
Liquid ETFs and large-cap stocks
Conditions to Avoid
Opening range expansion
Strong trend days
High-impact news or macro events
Ultimate Imbalance + RSI + Mean Reversion (v6)
FVG / Imbalance Logic:
🔵 Blue boxes (solid)
Bullish imbalances
These are areas where buying was so aggressive that price skipped levels.
What they represent
• Inefficient auction
• Buyers overwhelmed sellers
• Market left “unfinished business” below price
Types inside blue boxes
• Solid blue box = FVG or Opening Gap
• Blue dotted box = Volume Imbalance (VI)
__________________________________________________
🔴 Red boxes (solid)
Bearish imbalances
Opposite of blue: selling pressure skipped levels upward.
What they represent
• Aggressive sellers
• Liquidity vacuum above price
• Unfinished auction above
__________________________________________________
Gray boxes
Dead / resolved imbalances
These were once valid, but are now structurally irrelevant.
Boxes turn Gray when one of two things happened:
1. Filled
• Bullish → price traded down into the bottom of the box
• Bearish → price traded up into the top of the box
2. Invalidated
• Bullish → price closed below the box
• Bearish → price closed above the box
Gray = do not trade anymore // It’s historical context only.
They extend forward to:
• To visually show when they were resolved
• Help you see how long imbalances tend to survive on that market / timeframe
__________________________________________________
RSI Logic:
RSI filter (RSI 9, smoothed)
• Long bias: RSI ≤ 20 (oversold)
• Short bias: RSI ≥ 80 (overbought)
👉 RSI must already be extreme // We do NOT trade mid-range RSI.
__________________________________________________
Mean Reversion Channel (MRC) Logic:
What it measures:
• Distance from statistically “fair” price
• Uses volatility-adjusted bands (not fixed %)
Zones:
• Inner band = Normal mean oscillation
• Outer band = Exhaustion
• Beyond outer = Forced unwind / liquidation
Trade bias logic:
• Long allowed only if: price at or below lower outer band
• Short allowed only if: price at or above upper outer band
__________________________________________________
Final Signal from all 3 (prints a triangle):
✅ Long setup
1. Active bullish imbalance is touched
2. RSI ≤ oversold
3. Price is at MRC oversold zone
✅ Short setup
1. Active bearish imbalance is touched
2. RSI ≥ overbought
3. Price is at MRC overbought zone
This is why signals are intentionally rare.
Adaptive Momentum Oscillator [AMO]# Adaptive Momentum Oscillator
## Description
**What it does:**
AMO measures buying vs selling pressure by weighting price changes with volume. It automatically adjusts smoothing based on market conditions - faster response in trends, more filtering in choppy markets.
**How it works:**
1. Calculates market efficiency (trending vs choppy)
2. Applies adaptive smoothing to volume
3. Measures volume-weighted bullish/bearish momentum
4. Outputs normalized 0-100 oscillator
**How to read:**
- Above 50 = Bullish momentum (blue zone)
- Below 50 = Bearish momentum (red zone)
- Above 60 = Overbought, watch for reversal
- Below 40 = Oversold, watch for bounce
**Signals:**
- ◆ Blue at 50: Bullish shift (potential long entry)
- ◆ Red at 50: Bearish shift (potential short entry)
- ▽ at 75: Overbought warning
- △ at 25: Oversold warning
**Settings:**
- Lookback Period: Lower = more signals, Higher = smoother
- Adaptation Period: Controls efficiency calculation speed
**Use as:** Trend confirmation, entry timing, or exit signals when reaching extreme zones.
Momentum Wave Projector [Scalping-Algo]
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█ OVERVIEW
The Momentum Wave Projector (MWP) is an advanced momentum analysis tool that goes beyond traditional oscillators by projecting potential future momentum paths. While standard indicators only show you where momentum IS, MWP shows you where momentum is LIKELY TO GO.
This indicator combines:
• Adaptive momentum calculation with dynamic trend coloring
• Signal line crossover system for entry/exit timing
• Predictive wave projection using damped harmonic oscillation
• Confidence bands that expand with uncertainty over time
█ HOW IT WORKS
The indicator consists of three main components:
1. MOMENTUM LINE (Cyan/Red)
The core momentum oscillator that measures the speed and magnitude of price changes. The color automatically shifts based on trend direction:
• Cyan = Bullish momentum (above signal line)
• Red = Bearish momentum (below signal line)
2. SIGNAL LINE (Thick Red)
A smoothed average of momentum that acts as a trigger line. Crossovers between momentum and signal generate trading signals.
3. WAVE PROJECTION (Dashed Lines)
The unique feature of this indicator. It projects the probable future path of momentum using:
• Current velocity (how fast momentum is moving)
• Acceleration (is momentum speeding up or slowing down)
• Mean reversion (tendency to return to equilibrium)
• Cycle analysis (historical rhythm of momentum swings)
The projection uses a damped sine wave formula that naturally models how momentum oscillates and eventually returns toward the middle.
█ HOW TO USE
─────────────────────────────
ENTRY SIGNALS - LONG
─────────────────────────────
✓ Momentum crosses ABOVE signal line
✓ Cross occurs in oversold zone (below 30) = STRONG signal
✓ Wave projection is curving upward
✓ Triangle marker appears at bottom of indicator
Example setup:
1. Wait for momentum to drop into oversold zone (<30)
2. Watch for wave projection to start curving up
3. Enter when momentum crosses above signal line
4. Place stop loss below recent swing low
─────────────────────────────
ENTRY SIGNALS - SHORT
─────────────────────────────
✓ Momentum crosses BELOW signal line
✓ Cross occurs in overbought zone (above 70) = STRONG signal
✓ Wave projection is curving downward
✓ Triangle marker appears at top of indicator
Example setup:
1. Wait for momentum to rise into overbought zone (>70)
2. Watch for wave projection to start curving down
3. Enter when momentum crosses below signal line
4. Place stop loss above recent swing high
─────────────────────────────
EXIT SIGNALS
─────────────────────────────
For LONG positions:
• Take profit when momentum reaches projected wave peak
• Exit when momentum enters overbought zone (>70)
• Exit if momentum crosses back below signal line
For SHORT positions:
• Take profit when momentum reaches projected wave trough
• Exit when momentum enters oversold zone (<30)
• Exit if momentum crosses back above signal line
─────────────────────────────
TREND IDENTIFICATION
─────────────────────────────
STRONG UPTREND:
• Momentum stays above signal line consistently
• Momentum holds above 50 level
• Wave projection shows shallow dips that stay above 50
STRONG DOWNTREND:
• Momentum stays below signal line consistently
• Momentum holds below 50 level
• Wave projection shows shallow bounces that stay below 50
RANGING/CHOPPY:
• Momentum oscillates around signal line frequently
• Multiple crossovers in short period
• Wave projection shows full oscillation cycles
REVERSAL WARNING:
• Extreme reading (>80 or <20)
• Wave projection curving opposite to current direction
• Divergence between price and momentum
█ SETTINGS GUIDE
MOMENTUM SETTINGS
• Momentum Length (default: 14)
Lower = more sensitive, more signals, more noise
Higher = smoother, fewer signals, less noise
Recommended: 10-14 for scalping, 14-21 for swing trading
• Source (default: close)
Use 'close' for most cases
Use 'hlc3' for smoother readings
SIGNAL LINE SETTINGS
• Signal Length (default: 20)
Controls how smooth the signal line is
Higher values = slower, more reliable signals
Recommended: 14-21
• Signal Type (default: SMA)
SMA = balanced response
EMA = faster response to recent changes
WMA = weighted toward recent data
RMA = very smooth, slow response
WAVE PROJECTION SETTINGS
• Projection Length (default: 20)
How many bars into the future to project
Longer projections have more uncertainty
• Cycle Estimate (default: 28)
Estimated length of one full momentum cycle
Adjust based on your observed patterns
Tip: Count bars between momentum peaks
• Wave Strength (default: 1.0)
Controls amplitude of projected waves
Increase if your asset has large momentum swings
Decrease for more stable assets
• Show Confidence Bands (default: on)
Displays upper/lower probability envelope
Bands widen over time showing increasing uncertainty
LEVELS
• Overbought (default: 70)
• Oversold (default: 30)
Adjust based on asset volatility
More volatile assets: use 80/20
Less volatile assets: use 70/30
█ BEST PRACTICES
1. TIMEFRAME SELECTION
• Scalping: 1m, 5m, 15m
• Day trading: 15m, 1H
• Swing trading: 4H, Daily
2. COMBINE WITH PRICE ACTION
• Use support/resistance levels for confirmation
• Look for candlestick patterns at signal points
• Check higher timeframe trend direction
3. RISK MANAGEMENT
• Wave projection is probabilistic, NOT guaranteed
• Always use stop losses
• Don't risk more than 1-2% per trade
• Higher confidence when projection aligns with trend
4. AVOID FALSE SIGNALS
• Skip signals during major news events
• Be cautious of signals against the higher timeframe trend
• Wait for candle close before entering
• Look for confluence with other indicators
5. OPTIMAL CONDITIONS
• Best in trending markets with clear cycles
• Works well on liquid assets (major forex, crypto, indices)
• Less reliable during low volume/choppy conditions
█ ALERTS
The indicator includes 6 built-in alerts:
1. Bullish Crossover - Momentum crosses above signal
2. Bearish Crossover - Momentum crosses below signal
3. Strong Buy Signal - Bullish cross from oversold zone
4. Strong Sell Signal - Bearish cross from overbought zone
5. Entering Overbought - Momentum rising above 70
6. Entering Oversold - Momentum falling below 30
To set alerts:
1. Right-click on the indicator
2. Select "Add Alert"
3. Choose your preferred condition
4. Set notification preferences
█ DISCLAIMER
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always do your own research and consider your financial situation before trading. Use proper risk management and never trade with money you cannot afford to lose.
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END OF DESCRIPTION
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SHORT DESCRIPTION (For the brief description field)
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Advanced momentum oscillator with predictive wave projection. Features adaptive coloring, signal line crossovers, and future momentum path forecasting using damped harmonic oscillation. Includes confidence bands and built-in alerts for scalping and swing trading.
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Sarina - 6 EMA Smart Signals - V12292025Overview
This advanced trend-following indicator combines 6 Exponential Moving Averages (EMA) into three synchronized layers to provide a comprehensive view of market structure, momentum, and potential future direction. Designed with visual clarity and professional analysis in mind, it uses a dynamic "ribbon" system and a composite momentum engine.
Key Features
Triple-Layer Ribbon System: EMAs are paired in three sets (Fast, Medium, Slow). The space between each pair is dynamically colored based on the relationship between price action and momentum.
4-Stage Dynamic Coloring: The fill color isn't just about the trend; it's about strength.
Strong Bullish/Bearish: Trend and Momentum are aligned.
Weak Bullish/Bearish: Trend is present, but momentum is fading.
Composite Trend Projection: Using a physics-based velocity and acceleration algorithm, the indicator plots three non-linear projection curves to forecast potential EMA paths.
Fully Customizable Signals: Includes 12 different signal types (EMA Crossovers and MACD Zero-Cross) for each layer, all toggleable and pre-configured for a clean chart experience.
Scale-Stable UI: Optimized for TradingView’s scaling system, ensuring projection lines stay perfectly aligned with price action during manual chart adjustments.
How to Use
Trend Ribbon: Look for "Strong" colors (Solid Green/Red) for high-probability trend following.
Soft Transparency: Use the opacity settings (35%, 50%, 75%) to overlay multiple layers without cluttering your view.
Projections: Observe the curvature of the projection lines. A flattening curve often precedes a trend reversal or consolidation.
Signal Layers: Enable EMA signals for trend entries and MACD signals for early momentum warnings.
Settings
Global Colors: Customize the 4-stage trend colors to fit your dark or light theme.
Layer Controls: Independent periods for all 6 EMAs and 3 MACD oscillators.
Projection Toggle: Enable/Disable the curve forecasting system.
laoto Simple Moving Averages (SMA)Five Simple Moving Averages (SMA)
Customizable colors and periods (lengths).
Mid-term RibbonWhat the indicator is meant to tell you
-Mid-term trend direction (bullish vs bearish)
-Trend transitions when the ribbon flips color
-Trend strength (wider ribbon = stronger momentum)
-Helps traders stay in trends longer and avoid chop
Typical use cases
-Trend-following entries and exits
-Filtering trades in the direction of the ribbon
-Visual confirmation for other signals
-Swing trading and position trading
Colors are customizable
Only for educational purposes, no recommendation to buy or sell
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart.
What’s Inside the Indicator
5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths.
Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill.
Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions.
Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers.
Enhanced by Trend Mastery Pro Workflow
This indicator complements the 3-step methodology of Trend Mastery Pro:
Bias → defines the dominant trend direction.
Trigger → identifies breakout or momentum expansion zones using confluence with volatility.
Management → supports consistent risk execution when combined with external strategy rules and trade plans.
Key Strengths
✔ Unified trend + volatility envelope on chart
✔ Individual component control (no clutter, no guesswork)
✔ Noise reduction in consolidation environments
✔ Adaptable to crypto, forex, indices, commodities, and equities
✔ Reliable for intraday impulse plays and structured directional setups
How to Use It
Context: Align your analysis with the broader bias before execution.
Signal: Watch for volatility expansion and trend alignment for breakout scenarios.
Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model.
Best Practices
🛡️ Tune sensitivity according to asset volatility and timeframe horizon
🛡️ Avoid trading against dominant bias during compression phases
🛡️ Always validate through backtesting and forward testing before scaling
🛡️ Log performance and refine parameters iteratively
Who It's For
Traders who want:
A repeatable and disciplined process
A professional visual structure
Less noise, more clarity, better bias alignment
A premium indicator suite that supports real decision-making
Compatibility
Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen.
Disclaimer ⚠️
This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Nadaraya-Watson Envelope + EMA Filter (Optimized for BTC)Best Way to Use This Nadaraya-Watson EnvelopeThis indicator is not a standalone "holy grail" system — it's a powerful predictive tool that estimates where price is "likely" to go based on historical patterns.Core Idea:The orange line = predicted "fair value" or mean price path
The blue cloud = expected range (dynamic support/resistance)
Price tends to mean-revert to the orange line
Best Practices:Trade bounces in ranging markets:BUY at lower band (green) when price is below orange line
SELL at upper band (red) when price is above orange line
Target: the orange line or opposite band
Trade breakouts in trending markets:If price breaks and closes strongly outside the cloud → potential trend start
Wait for pullback to orange line for entry in trend direction
Best timeframes:5m–15m: Scalping bounces
1H–4H: Swing trading mean reversion
Add confluence for higher win rate:Only take BUY if price is above EMA 200 (uptrend bias)
Combine with volume spike or RSI oversold/overbought
Use with support/resistance levels
Risk management:Stop loss: just outside the envelope
Take profit: at orange line or next band
enjoy
deKoder | VWAP | Volume Weighted Average PriceAn advanced, open-source Volume Weighted Average Price indicator with multi-period anchoring, standard deviation bands, previous period value area extension, comprehensive alerts, and enhanced visual context.
This script is a significant upgrade over standard VWAP implementations (including TradingView's built-in VWAP (the basis for this script) and typical community versions). It is designed for experienced intraday, swing, and positional traders who require precise, context-aware mean reference levels with minimal chart clutter.
Key Features & Trading Value
1 | Previous Period Value Area Extension
Automatically extends the prior anchor period's VWAP and ±1σ bands into the current period as reference lines.
Optional translucent fill between the previous ±1σ bands creates a clear "previous value area" zone.
Why it matters : The edges of the prior period's value area often act as dynamic support/resistance or mean reversion zones. This visual persistence eliminates manual drawing and provides immediate context for reactions at prior fair value zones. These are especially powerful on intraday charts when using Daily/Weekly/Quarterly anchors.
2 | Comprehensive Approach Alerts
Configurable proximity-based alerts trigger when price approaches (from either side) any plotted level: current VWAP, all six deviation bands (±1σ, ±2σ, ±3σ), and previous period VWAP/±1σ value area.
Adjustable trigger percentage and minimum bar cooldown prevent alert spam during consolidation.
Why it matters : Enables hands-off monitoring of potential mean reversion setups, deviation extremes, or breakout/rejection candidates without constant screen watching.
3 | Additional Professional-Grade Enhancements
Flexible Anchor Periods : Daily, Weekly, Monthly, Quarterly (default), Yearly, Decade, Century, plus event-based resets (Earnings, Dividends, Splits).
Intelligent Visibility Controls :
Hide entire indicator on selected higher timeframes (1H and above).
Dynamic distance filter removes off-screen levels (based on % from price).
Limit plotting to last X bars for performance and clarity.
Real-Time Info Table :
Displays current anchor, timeframe, and rounded live values for VWAP and all bands, enabling fast access to precise level values for order placement.
Fully customisable position, text size, font (monospace option), and price level decimal rounding.
Right-Side Labels with Tooltips :
Clean, minimal labels at current levels with hover tooltips allow you to quickly identify the level without cluttering the chart.
Customizable Styling :
Independently adjustable colours for VWAP and each deviation band pair.
Offset support for forward/backward shifting.
Recommended Use Cases
Intraday Scalping/Mean Reversion : 5m–15m charts with Daily anchor + previous value area as primary reference.
Swing Entries : Higher timeframes (1H–4H) using Weekly or Quarterly VWAP for bias, with previous quarter's value area as major confluence.
Deviation Trading : Watch for price interaction with ±2σ/±3σ bands combined with approach alerts for potential exhaustion.
Institutional Benchmarking : Quarterly/Yearly anchors approximate common institutional VWAP reset periods.
Additional Notes
Source fixed to hlc3 (industry standard for VWAP).
Enjoy cleaner, more contextual VWAP analysis.
| | deKoder | |
Released December 2025 | Open Source
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Quicky's List 101this is my checklist to enter a trade,
and the grade level of each setup
so basiclly help me be more knowledgble of what i have ticked or not
