Hopiplaka Goldbach System with SignalsThis study builds a PO3 (Power-of-3) price range, projects Goldbach-derived levels inside that range, and issues contextual buy/sell signals only when multiple, explicitly defined filters align (Tesla-Vortex state, ICT AMD phase, time confluence, volume bias, level quality, and momentum). It is a rules-based confluence tool—not an auto-trader.
What it plots
- PO3 Range: Upper/lower dashed boundaries for a selectable PO3 size (3…2187). Optional auto-expansion (×3) occurs when price nears range edges by a user-set sensitivity.
- Goldbach Levels (Premium / Standard / Discount): Lines computed from Goldbach partitions mapped into the active PO3 range.
- OB / LV flags: A level can be flagged as Order-Block zone (OB) or Liquidity-Void zone (LV) when spacing/quality rules (below) are met.
- Tesla Vortex nodes: Levels marked when they align with the Vortex criteria.
- Hit markers: A small dot when price touches a level within tolerance.
- Arrows: Buy/Sell arrows only when confluence and confidence thresholds are satisfied.
- Info panel: Live readout of PO3 stats, current signal + confidence, Tesla state/strength, AMD phase, time bias, volume bias, and liquidity status.
- Data-window series: Vortex strength, time bias value, volume bias flag, and signed signal strength.
How it works (high-level but specific)
1) PO3 engine
- Let S be the chosen PO3 size. The script computes = as the active range.
- Auto-expansion: If price moves within a user-defined percentage of Lower/Upper, the range may expand to 3S (once per trigger), so higher-order structure is captured without re-anchoring.
2) Goldbach mapping
- For even numbers E ∈ {4,6,…,Precision}, generate prime partitions E = p₁ + p₂.
- Each partition defines a ratio r = p₁/(p₁+p₂). The level is L = Lower + r·(Upper−Lower).
Classification:
- Premium: partitions with “small-prime” characteristics (higher weight).
- Discount: partitions with “larger-prime” characteristics (lower weight).
Standard: otherwise.
- Spacing rules (to avoid clutter and force structure):
- Enforce “true” spacing near ~6% of the PO3 height between adjacent lines.
- If a level is flagged OB, use the OB spacing threshold (e.g., ~8%).
- If a level is flagged LV, use the LV spacing threshold (e.g., ~9%).
- Levels violating spacing vs. existing levels are discarded.
- Reliability score starts from the partition weight and is later adjusted by time/volume/vortex factors.
3) Tesla-Vortex filter
- Uses a fixed lookback to compute average range vs. directional change and produces a Vortex strength; from this it derives a state (mean-reverting “MMxM” vs. trend).
- Some levels qualify as Tesla nodes; those receive priority/weighting in signals and thicker styling on chart.
4) ICT context (AMD/IPDA bias proxy)
- Over a user lookback, compute recent high/low and price position inside that range to classify Accumulation / Manipulation / Distribution and a simple structure bias.
5) Time analysis (Goldbach-time confluence)
- For the last N bars, detect swing highs/lows; check whether (hour + minute) is an even number with a valid prime partition.
- Build a time bias from the relative frequency of Goldbach-valid times at swings and a confluence score used in signals.
6) Volume weighting
- Compare current volume to a lookback average. If relative volume is elevated, reliability of nearby levels is scaled up.
7) Signal engine
- Candidate only forms near a qualified level and must pass these checks (user can require 1–6 of them):
1- Tesla state alignment (e.g., MMxM favors buys; trend favors sells when applicable)
2- AMD phase alignment (Accumulation→buys, Distribution→sells)
3- Time bias alignment (bullish vs. bearish)
4- Volume bias (high relative)
5- Level quality (Tesla node / Premium)
6- Momentum (simple 2-bar direction check)
- If Confluence Count ≥ Required and scaled Confidence ≥ 0.5, a Buy (below level) or Sell (above level) arrow is printed. Cooldown prevents immediate repeats.
Inputs you’ll care about
- PO3: range size, auto-expansion toggle & sensitivity, liquidity zone width.
- Goldbach: precision cap (computation depth), enforce ~6% spacing, OB/LV spacing.
- Signals: sensitivity, min reliability, confluence required, cooldown, min distance to level, show arrows/hit markers.
- Filters (toggles): Tesla-Vortex, AMD, Time, Volume, Liquidity.
- Display: show historical/future projections, labels, paths, phase transitions; per-feature colors.
Alerts included
- Buy / Sell signal (with confluence)
- Goldbach level hit
- PO3 upper/lower break and PO3 expansion
- Near Goldbach / Tesla node / Premium level
- Vortex phase change
- Liquidity sweep risk
- Strong time confluence
- High-volume level approach
Confirmation / repainting
- Calculations are live; arrows can change until the bar closes. For stricter behavior, use alerts on bar close or require close-based confirmations in your rules.
How to use (quick workflow)
1- Pick a PO3 size that matches your timeframe/instrument (e.g., 81–243 for intraday; larger for swing).
2- Prioritize Tesla nodes, Premium OB, and time-confluent, volume-weighted levels.
3- Start with Confluence Required = 3–4 and Cooldown = 10–20; then tune Sensitivity to control frequency.
4- Execute with your entry model (e.g., pullback or micro-MS break) and fixed risk.
Why these components are combined (originality rationale)
- Goldbach partitions provide a deterministic way to project repeatable intra-range proportions.
- PO3 stabilizes the reference frame so Goldbach levels are comparable across moves.
- Tesla-Vortex / AMD / Time / Volume each target a different failure mode (wrong regime, wrong phase, wrong time, weak participation). Requiring confluence reduces false positives versus any single method. This is not a cosmetic mashup; each component gates signals.
This publication consolidates prior small variations; future improvements will be issued using Update rather than separate scripts.
Chỉ báo và chiến lược
Previous OHLC / EQ PD by The Feathered TraderThis indicator shows Previous Day, Week, and Month OLHC, or High and Low. It also shows the Equilibrium for the same time frames.
It also shows Midnight open for the previous 3 days. If price hits that level between )0800 and 1600 it deletes that line.
Rev Smart Pivot V5.0 by SJKimRev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
Rev Smart Pivot V5.0 by SJKim
Key Levels, TimeLine out the Main Levels and Weekly Time, I will upgrade it to its full functionality soon.
Culture Pulse Pro- CBT ModelThe CBT Model indicator is exclusively made for Trading Culture Ph community members.
Adaptive Fractal Range | ranwood2010
The AFR (Adaptive Fractal Range) indicator is a trend-following tool designed to identify shifts in market direction using a combination of double exponential moving averages (DEMA) and ATR-based adaptive ranges. It dynamically adjusts to price volatility, highlighting bullish and bearish trend flips in real-time.
Key Features:
Trend Detection: Uses DEMA and ATR to calculate adaptive support/resistance levels and detect trend changes.
Color-Coded Signals:
Red color bars/line indicate an uptrend.
Green color bars/line indicate a downtrend.
Multi-Timeframe Support: Calculate signals on a higher or lower timeframe than the chart.
Alerts:
Intrabar alerts trigger immediately when the trend flips.
Bar-close alerts trigger after the bar closes for confirmed signals.
Customizable Inputs: DEMA length, ATR period, ATR factor, and bar coloring options.
Use Cases:
Identify trend reversals and potential entry/exit points.
Combine with other technical analysis tools to confirm market direction.
Receive real-time notifications for faster trading decisions.
Previous OHLC / EQ PD by The Feathered TraderThis script shows Previous Day, Week, Month OHLC and EQ of Previous Day, Week, and Month
Triple EMA Setup for Memecoin TradingThis script plots three exponential moving averages (EMAs) — 28, 36, and 50 periods — a trio I’ve relied on in my own trading, particularly in the fast-paced and unpredictable memecoin space.
The 28 and 36 EMAs react quickly to price changes, making them useful for spotting early momentum shifts and short-term trend reversals. The 50 EMA sits as a steadier mid-term guide, filtering out some of the noise while still keeping pace with the market’s energy.
Together, they create a layered view of short-to-mid-term price structure — helping you time entries on pullbacks, confirm breakouts, and maintain a sense of direction even when the chart looks like pure chaos.
S7F Confrimation S7F Confirmation is a sentiment-driven RSI/Bollinger Band system that highlights momentum shifts, divergences, and overbought/oversold conditions with clear visual cues. It filters noise by showing strong versus weak phases, sharkfin reversals, and RSI divergences—giving you precise insight into when a move has real strength behind it.
When paired with the S7F Alpha X, this tool acts as the confirmation layer. Alpha X identifies the setup, and S7F Confirmation validates the momentum and sentiment, helping traders avoid false signals and enter only when conditions are fully aligned.
S7F AlphaXS7F Alpha — The Complete Trading Suite
The S7F Alpha is an all-in-one trading framework built to give traders clarity, precision, and confidence in every trade. Designed for both intraday scalps and swing positions, it combines multiple proven strategies into one streamlined tool.
I’ve personally used this indicator for over 4 years, flipping accounts and refining my entries with sniper-level precision. If you want to see it in action, follow my YouTube channel where I trade live with S7F Alpha every day.
### 🔑 Key Features
* Multi-Session Mapping: Automatically highlights Asia, London, and New York sessions with high/low ranges for precise timing.
* Smart Baselines: Dynamic EMA & Ichimoku cloud filters to instantly identify trend bias.
* Pivot Levels & Quarters Theory: Auto-plotted daily/weekly/monthly pivots with advanced quarter-level zones for sniper entries.
* Bollinger & RSI/TDI Engine: Detects overbought/oversold conditions, reversals, and momentum continuation.
* Session Alerts: Real-time alerts for London/NY crossovers, baseline flips, and stop-hunt setups.
* Accountability Tools: Session boxes, key levels, and color-coded bars keep your charts structured and easy to read.
### ✅ Best For
* Intraday traders (15m / 1h scalps).
* Prop firm challenge passes.
* Account flipping strategies (\$100 → \$1,000).
* Traders who want an **all-in-one dashboard** instead of 5–6 indicators cluttering charts.
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👉 The **S7F Alpha** turns your chart into a **complete trading machine**, so you can focus on execution and consistency.
4-Hour Range HighlighterThe 4-Hour Range Highlighter is a powerful visual analysis tool designed for traders operating on lower timeframes (like 5m, 15m, or 1H). It overlays the critical price range of the 4-hour (4H) candlestick onto your chart, providing immediate context from a higher timeframe. This helps you align your intraday trades with the dominant higher-timeframe structure, identifying key support and resistance zones, breakouts, and market volatility at a glance.
Key Features:
Visual Range Overlay: Draws a semi-transparent colored background spanning the entire High and Low of each 4-hour period.
Trend-Based Coloring: Automatically colors the range based on the 4H candle's direction:
Green: Bullish 4H candle (Close > Open)
Red: Bearish 4H candle (Close < Open)
Blue: Neutral 4H candle (Close = Open)
Customizable High/Low Lines: Optional, subtle lines plot the exact high and low of the 4H bar, acting as dynamic support/resistance levels.
Fully Customizable: Easily change colors and toggle visual elements on/off in the settings to match your chart's theme.
How to Use It:
Identify Key Levels: The top and bottom of the shaded area represent significant intraday support and resistance. Watch for price reactions at these levels.
Trade in Context: Use the trend color to gauge sentiment. For example, look for buy opportunities near the low of a bullish (green) 4H range.
Spot Breakouts: A strong candle closing above the high or below the low of the current 4H range can signal a continuation or the start of a new strong move.
Gauge Volatility: A large shaded area indicates a high-volatility 4H period. A small area suggests consolidation or low volatility.
Settings:
Visual Settings: Toggle the background and choose colors for Bullish, Bearish, and Neutral ranges.
Line Settings: Toggle the high/low lines and customize their colors.
Note: This is a visual aid, not a standalone trading system. It provides context but does not generate buy/sell signals. Always use it in conjunction with your own analysis and risk management.
Perfect for Day Traders, Swing Traders, and anyone who needs higher-timeframe context on their chart!
How to Use / Instructions:
After adding the script to your chart, open the settings menu (click on the indicator's name and then the gear icon).
In the "Inputs" tab, you will find two groups: "Visual Settings" and "Line Settings".
In Visual Settings, you can:
Toggle Show 4H Range Background on/off.
Change the Bullish Color, Bearish Color, and Neutral Color for the transparent background.
In Line Settings, you can:
Toggle Show High/Low Lines on/off.
Change the line colors for each trend type.
Adjust the colors to your preference. The default settings use transparency for a clean look that doesn't clutter the chart.
Position Size Calc - Prime Hour Trading v1Live PnL calculator
Input your risk and let it calculate your position size automatically while you trade
ATR-EMA Trend Trader (Adaptive) v2v9.1
ATR-EMA Trend Trader (Adaptive)
Purpose
Trend-following tool for timing long entries on EMA crosses, filtering by trend quality, scaling out on weakness, and exiting with a robust, volatility-aware trailing stop. Designed to stay in trends while cutting noise on lower timeframes.
What it does
Entries
Signals:
Low Confidence Buy = EMA10 crosses above EMA20
Big Buy = EMA10 crosses above EMA50
Trend Gate (Angle Filter): Requires EMA50 to be rising by at least a chosen angle (°). Optional regression smoothing and HTF EMA50 confirmation.
Early-Turn Override: Allows one early probe before the angle turns positive if the angle is improving and a price rule is met (options: EMA20>EMA50, Close>EMA50, Close>EMA20&EMA20>EMA50, Close>EMA20).
Take Profit
Tracks the highest confirmed pivot high since entry (pivothigh) and can:
TP immediately on confirmation (optional), or
TP when close crosses that level (default), or
TP on wick touch (optional).
“Once per pivot” option avoids repeat fires.
Exits & Risk
Fixed ATR Stop (optional): entry − ATR × baseMult.
Dynamic ATR Stop (Chandelier): highest high since entry − ATR × dynMult, with four anti-whipsaw upgrades:
Adaptive multiplier (ADX-blended): dynMult blends between weak and strong based on ADX (computed internally—no ta.adx() needed).
Arm after profit / bars: trail doesn’t activate until profit ≥ R or after N bars.
Freeze tightening for N bars after a new highest high (prevents immediate snap-tightening).
Confirmation to exit: need K consecutive closes below the trail and optional structure break (EMA20 and/or last Swing-Low) before closing.
EMA30 Trail (optional): soft exit when close < EMA30.
Scale-Outs
30%: close < EMA10 and high volume.
50%: close < EMA50, bearish candle, and high volume.
PVRSA Tag
Labels Confirmed M Pivot High when a fresh local high forms on high volume with a bearish candle.
Visuals & Panel
Dotted EMA10/20/30/50, ATR bands around EMA20, optional Volume MA, optional classic pivot markers.
Info table shows EMAs, ATR, base & dynamic multipliers, bands, EMA50 angle, ADX, Early-Turn ON/OFF, whether the dynamic stop is armed, and live diagnostics (closes below / freeze).
Alerts
Buy signals, scale-outs, take-profit, PVRSA pivot, fixed stop, dynamic stop, and EMA30 trail.
Quick start
Reduce noise: Angle min 0.5–1.0°, Lookback 8–13; enable regression if still choppy.
Catch turns: Early-Turn ON; Max negative 2–3°; Improving 3–5; Price rule Close>EMA20 for earlier probes.
Stay in trends: Adaptive dyn mult ON (weak=1.8, strong=2.8, ADX len=14, ADX low=15, high=30);
Arm after 1.0R and 5 bars; Freeze=2; Closes below=2; Option-C EMA20 confirm ON, Swing-Low OFF (enable if still too tight).
IPDA X Volatility IndexATR based 5 day volatility index. This indicator will print a volatility table of your most commonly traded assets. It will rank the most volatile assets on your list based on the 5 day ATR and will give you an average volatility measure as well to let you know which assets are the most volatile.
ATR-EMA Trend: EarlyTurn + Adaptivev.9
Purpose:
Trend-following tool that times long entries on EMA crosses, filters them by trend quality, scales out on weakness, and exits with a volatility-aware trailing stop. It also tags PVRSA “M” pivot highs and shows a compact info panel.
How it works
Entries
Signals: “Low Confidence Buy” (EMA10 > EMA20 cross) and “Big Buy” (EMA10 > EMA50 cross).
Trend filter: Entries are gated by the EMA50 angle (in degrees). You can:
Require a minimum angle (up-slope),
Optionally smooth the angle with linear regression,
Add HTF confirmation (EMA50 rising on a higher timeframe).
Early-Turn Override: Lets one early “probe” long through before the EMA50 angle turns positive—only if the angle is improving and a chosen price rule is true (options: EMA20>EMA50, Close>EMA50, Close>EMA20&EMA20>EMA50, or Close>EMA20).
Profit-taking
Tracks the highest confirmed pivot high since entry (classic pivothigh) as a TP level.
Take profit:
Immediately on pivot confirmation (optional), or
On a close cross above that level (default), or
On wick touch (optional).
Option to fire once per pivot.
Stops & Trailing
Dynamic ATR stop (Chandelier High): highest high since entry – ATR×mult.
Adaptive multiplier (ADX-based): when trend is strong (ADX ≥ threshold), use a larger ATR multiple; in chop, use a smaller one. (ADX is calculated internally; no ta.adx() dependency.)
Fixed ATR stop (optional): entry – ATR×mult.
EMA30 trail exit (optional, “soft” exit).
Scale-outs
30% scale-out: Close below EMA10 with high volume.
50% scale-out: Close below EMA50, bearish candle, high volume.
PVRSA “M” Pivot High
Flags a confirmed M pivot high when: new local high, high volume, and a bearish candle.
Visuals & Panel
Dotted EMA10/20/30/50, ATR bands around EMA20, optional Volume MA, optional classic pivot-high shape.
Info table shows EMAs, ATR, base multiplier, ATR×mult, bands, EMA50 angle, ADX, active dynamic ATR multiplier, and Early-Turn status.
Alerts
Buy signals, both scale-outs, take profit, PVRSA pivot, fixed stop, dynamic stop, and EMA30 trail exit.
Tips & presets
To reduce noise on small timeframes: increase Min EMA50 Angle to ~0.5–1.0°, set Angle Lookback to 8–13, enable Regression Angle if still choppy.
To catch early turns: keep Early-Turn ON with Max Negative Angle 1.5–3.0°, Improving Lookback 3–5, and a permissive price rule like Close>EMA20.
For trend runs: leave Adaptive Dyn Mult ON with defaults (Strong=2.6, Weak=1.8, ADX Len=14, Thresh=22).
Deep in the Tape – VSA (Invite Only)Deep in the Tape – VSA (Invite-Only)
Overview
This invite-only study is built entirely on the Volume Spread Analysis (VSA) methodology developed by Tom Williams. VSA examines the interplay of volume, spread (bar range), and close position to highlight the footprints of professional activity.
The aim of this tool is educational: to make it easier for traders to study how supply and demand pressures appear on the chart in real time. It does not generate trading advice, but instead plots markers based on classical VSA principles so students of the method can recognize strength, weakness, confirmations, and traps without the cryptic complexity often found in raw VSA study.
What It Displays
Key VSA Events (visual markers on the chart):
Stopping Volume (SV): Wide down bars with climactic volume closing off the lows.
Selling Climax (SC): Exhaustion selling at the end of a decline, often near bottoms.
Shakeout (SO): A sharp push down that springs back to close strong.
No Supply (NS): Narrow down bar on low volume, showing lack of selling pressure.
No Demand (ND): Narrow up bar on low volume, showing lack of buying interest.
Supply Coming In: Volume surge after an up-move, suggesting sellers active.
Buying Climax (BC): Wide up bar with climactic volume and weakness into the close.
Upthrust (UT): False break above prior highs with a weak close.
End of Rising Market (EoRM): Narrow up bar on very high volume, closing weak, often signaling distribution.
Test Bar: Down bar on very low volume in an uptrend, testing for lack of supply.
Contextual Tools:
Trigger Levels: High/low of ultra-high volume bars projected forward, serving as natural support/resistance levels.
Cluster Zones: Optional shading to mark zones of repeated high-volume activity (potential accumulation/distribution).
Background MA: A simple moving average for context only — not a signal generator.
Interpreting the Markers (Tom Williams Style)
Bullish Background (professional strength):
Events: Stopping Volume, Selling Climax, Shakeout, No Supply.
Best studied when price is trading above trigger levels and above the MA, showing demand in control.
Bearish Background (professional weakness):
Events: Buying Climax, Upthrust, Supply Coming In, End of Rising Market.
Best studied when price is below trigger levels and below the MA, showing supply dominance.
Failures (Educational Study Only)
Not all setups confirm. In VSA, Tests sometimes fail, and No Demand or No Supply bars can be absorbed. These are marked as Failure markers.
Their purpose is purely educational:
To show where expectations do not play out.
To help students see how traps or absorptions form.
To illustrate Tom Williams’ lesson that the market is a testing ground — not a perfect pattern machine.
How to Use It
Study Background Activity: Watch for climactic volume and projected trigger levels.
Look for Response: After signs of strength (SC, SV, SO, NS), seek confirming Tests or NS bars. After signs of weakness (UT, BC, Supply Coming In), look for ND or UT confirmation.
Apply Context: Confirm whether price is above/below triggers and the MA to judge whether demand or supply has the upper hand.
Learn from Failures: Pay attention to failures as they show where expectations break down — some of the most valuable lessons in VSA.
Observe Clusters: Use cluster zones to study where professional activity tends to re-appear.
Why It’s Original
Built directly from Tom Williams’ VSA logic — spread, volume relative to average, wick size, close location, and background context.
Adds projected trigger levels and cluster zones for educational context.
Designed for clarity and study, removing unnecessary complexity while staying faithful to VSA principles.
This is not a mash-up of other scripts or public code; it’s a purpose-built framework for studying supply and demand dynamics.
I built this because it's what I wanted to see in a script ,true VSA Education .
Disclaimer
This script is for educational and analytical purposes only.
It does not generate buy/sell/alert signals, nor does it provide financial advice. Always perform your own analysis and risk management before making trading decisions.
Volume Spread Analysis — Educational (VSA Study)Volume Spread Analysis — Educational (VSA Study)
Overview
This indicator is an educational tool based on classic Volume Spread Analysis (VSA), a methodology pioneered by Tom Williams. VSA studies the relationship between volume, price spread, and closing position to highlight the possible footprints of professional buying and selling.
The purpose of this study is to make the core VSA events visible on the chart, so traders can learn how to recognize them in real time. It does not provide signals, alerts, or advice — it is designed purely for market education and visual study.
What It Displays
The script plots key VSA events as shapes on the chart:
Stopping Volume (SV): Wide down bar, ultra-high volume, closing off the lows.
Selling Climax (SC): Climactic selling into the lows, often at market bottoms.
Shakeout (SO): Sharp down bar that springs back and closes strong.
No Supply (NS): Narrow down bar on very low volume, showing lack of selling.
No Demand (ND): Narrow up bar on low volume, showing lack of buying interest.
Buying Climax (BC): Wide up bar with climactic volume, closing weak.
Upthrust (UT): False breakout above resistance that closes weak.
Supply Coming In: Signs of supply entering after an up-move.
End of Rising Market (EoRM): Narrow up bar with very high volume and weak close.
Test Bar: Low-volume down bar closing strong, testing for supply.
How It Works
Each event is identified by comparing:
Volume against its moving average.
Spread (bar range) against the average spread.
Closing position within the bar.
Wick structure (upper/lower shadow).
Trend context (short-term moving averages).
By combining these elements, the script highlights conditions that match classical VSA patterns.
An optional moving average can be enabled for background context — this is not a signal, only a visual guide to see whether price is trading above or below a simple average.
How to Use It (Educational)
As Tom Williams taught, VSA is about reading the background:
Signs of Strength: Look for Stopping Volume, Selling Climax, Shakeouts, and No Supply bars. These often appear after weakness and suggest buyers are stepping in.
Signs of Weakness: Watch for Buying Climaxes, Upthrusts, Supply Coming In, and End of Rising Market patterns. These often appear after strength and suggest sellers are active.
Context Matters:
Strength is best studied when price is above the moving average and holding above trigger zones.
Weakness is best studied when price is below the average and struggling under resistance.
Tests & No Demand: These confirm whether supply or demand is still present. A successful Test (low volume down bar, closing strong) often follows strength, while No Demand confirms weakness.
This script is not about trade entries — it is a learning tool to help traders visually study professional activity and market phases.
Originality
This is not a mash-up of public code. It is a purpose-built educational implementation of VSA logic, written from scratch. It maps directly to classical definitions of strength, weakness, tests, and climaxes, making the concepts easier to recognize without requiring traders to interpret raw formulas.
Disclaimer
This indicator is for educational and analytical purposes only.
It does not generate trading signals, alerts, or financial advice.
Always do your own research and risk management when trading.
Vsa Volume How to Use (Educational)
Spot abnormal effort: Ultra-High and High bars often coincide with key areas of effort (e.g., absorption, climaxes, shakeouts). Use the background bands to quickly see when activity is entering an elevated regime.
Pair with price action: Compare volume categories with bar spread and close location. High effort on narrow spread can suggest absorption; high effort on wide spread can suggest aggressive participation.
Context over time: Track sequences (e.g., repeated High/Ultra-High) to identify pressure building or exhaustion.
Parameter tuning: Increase smoothingPeriod to smooth noisy symbols; decrease it to make the classification more responsive.
This is a stand-alone study. It can be used with any price analysis, including VSA-style reading of spread/close, but it does not generate buy/sell/alert signals.
Settings
Smoothing Value for Average Volume (smoothingPeriod, default 14): period for the simple moving average that defines the relative scale.
Originality
The tool focuses on a clear, thresholded classification of volume using chart-relative multipliers and contextual effort bands. It is purpose-built to make abnormal volume regimes visually obvious in real time without mixing in unrelated indicators or external dependencies.
Disclaimer
For educational and analytical purposes only. This study does not provide trading signals, alerts, or financial advice. Always perform your own analysis and risk management.
Three-Bar Reversal/ContinuationThis indicator identifies a three-bar expansion pattern based on range and volume, designed to highlight moments when the market pushes strongly, pauses, and then resumes with confirmation.
Detection Logic
* Bar (two bars ago) must show sufficient strength, determined by the number of conditions met.
* Bar (one bar ago) must be neutral (strength = 0), marking a brief pause.
*Bar (current bar) must continue the expansion, with range and volume greater than the prior bar.
(Bar is used as a safeguard to prevent repeated detection during ongoing strong moves)
Strength Scoring
Each bar is scored 0–3 based on which of the following conditions it satisfies:
* Range exceeds a multiple of the recent average
* Volume exceeds a multiple of the recent average
* Range × volume exceeds a multiple of the recent average
The detection level input controls how many of these conditions must hold to classify a bar as “strong.” This allows tuning from permissive (1 condition) to strict (all 3 conditions).
Parameters & Utility
* length: Lookback period for moving averages of span, volume, and span×volume. Larger values smooth the averages, reducing false positives; smaller values increase sensitivity.
* coeff: Multiplicative threshold to define an unusually strong bar. Higher values reduce frequency but increase reliability.
* detectLevel: Minimum number of conditions that must be met for a bar to count as “strong.”
* showCont: Whether to allow continuation signals away from local extrema (if false, only reversals near highs/lows are considered).
* symbolUp / symbolDown: Customizable plotting symbols for bullish/bearish signals.
* showStrength: Plots tiny dots indicating the strength of each bar (1–3).
Rationale
This structure captures a recurring market motif: strong push → brief pause → renewed push, where the renewed activity is confirmed by both price expansion and volume. Using a combination of statistical thresholds (range, volume, range×volume) and price structure ensures that signals are both measurable and visually interpretable.
Usage Notes
* This setup allows traders to visually or systematically identify potential reversal or continuation points while controlling sensitivity to noise.
* Designed as a mechanical filter rather than a fully automated trading system. Signals highlight notable activity but do not dictate entry, exit, or risk management.
* Works best when combined with trend/context filters or higher-timeframe analysis.
* Adjust the parameters based on the volatility of the instrument and timeframe.
Top and Bottom Probability
The top and bottom probability oscillator is an educational indicator that estimates the probability of a local top or bottom using four ingredients:
price extension since the last RSI overbought/oversold,
time since that OB/OS event,
RSI divergence strength,
Directional Momentum Velocity (DMV) — a normalized, signed trend velocity.
It plots RSI, two probability histograms (Top %, Bottom %), and an optional 0–100 velocity gauge.
How to read it
RSI & Levels: Standard RSI with OB/OS lines (70/30 by default).
Prob Top (%): Red histogram, 0–100. Higher values suggest increasing risk of a local top after an RSI overbought anchor.
Prob Bottom (%): Green histogram, 0–100. Higher values suggest increasing chance of a local bottom after an RSI oversold anchor.
Velocity (0–100): Optional line. Above 50 = positive/upward DMV; below 50 = negative/downward DMV. DMV pushes Top risk when trending down and Bottom chance when trending up.
These are composite, scale-free scores, not certainties or trade signals.
What the probabilities consider
Price Delta: How far price has moved beyond the last OB (for tops) or below the last OS (for bottoms). More extension → higher probability.
Time Since OB/OS: Longer time since the anchor → higher probability (until capped by the “Time Normalization (bars)” input).
Oscillator Divergence: RSI pulling away from its last OB/OS reading in the opposite direction implies weakening momentum and increases probability.
Directional Momentum Velocity (DMV):
Computes a regression slope of hlc3 vs. bar index, normalized by ATR, then squashed with tanh.
Downward DMV boosts Top probability; upward DMV boosts Bottom probability.
Toggle the velocity plot and adjust its sensitivity with Velocity Lookback, ATR Length, and Velocity Gain.
All four terms are blended with user-set weights. If Normalize Weights is ON, weights are rescaled to sum to 1.
Inputs (most useful)
RSI Length / OB / OS: Core RSI setup.
Time Normalization (bars): Sets how quickly the “time since OB/OS” term ramps from 0→1.
Weights:
Price Delta, Time Since OB/OS, Osc Divergence, Directional Velocity.
Turn Normalize Weights ON to keep the blend consistent when you experiment.
Settings:
Velocity Lookback: Window for slope estimation (shorter = more reactive).
ATR Length: Normalizes slope so symbols/timeframes are comparable.
Velocity Gain: Steepens or softens the tanh curve (higher = punchier extremes).
Show Velocity (0–100): Toggles the DMV display.
Tip: If you prefer momentum measured on RSI rather than price, in the DMV block replace hlc3 with rsi (concept stays identical).
Practical tips
Use Top/Bottom % as context, not triggers. Combine with structure (S/R), trend filters, and risk management.
On strong trends, expect the opposite probability (e.g., Top % during an uptrend) to stay suppressed longer.
Calibrate weights: e.g., raise Osc Divergence on mean-reversion symbols; raise Velocity in trending markets.
For lower noise: lengthen Velocity Lookback and ATR Length, or reduce Velocity Gain.
FibADX MTF Dashboard — DMI/ADX with Fibonacci DominanceFibADX MTF Dashboard — DMI/ADX with Fibonacci Dominance (φ)
This indicator fuses classic DMI/ADX with the Fibonacci Golden Ratio to score directional dominance and trend tradability across multiple timeframes in one clean panel.
What’s unique
• Fibonacci dominance tiers:
• BULL / BEAR → one side slightly stronger
• STRONG when one DI ≥ 1.618× the other (φ)
• EXTREME when one DI ≥ 2.618× (φ²)
• Rounded dominance % in the +DI/−DI columns (e.g., STRONG BULL 72%).
• ADX column modes: show the value (with strength bar ▂▃▅… and slope ↗/↘) or a tier (Weak / Tradable / Strong / Extreme).
• Configurable intraday row (30m/1H/2H/4H) + D/W/M toggles.
• Threshold line: color & width; Extended (infinite both ways) or Not extended (historical plot).
• Theme presets (Dark / Light / High Contrast) or full custom colors.
• Optional panel shading when all selected TFs are strong (and optionally directionally aligned).
How to use
1. Choose an intraday TF (30/60/120/240). Enable D/W/M as needed.
2. Use ADX ≥ threshold (e.g., 21 / 34 / 55) to find tradable trends.
3. Read the +DI/−DI labels to confirm bias (BULL/BEAR) and conviction (STRONG/EXTREME).
4. Prefer multi-TF alignment (e.g., 4H & D & W all strong bull).
5. Treat EXTREME as a momentum regime—trail tighter and scale out into spikes.
Alerts
• All selected TFs: Strong BULL alignment
• All selected TFs: Strong BEAR alignment
Notes
• Smoothing selectable: RMA (Wilder) / EMA / SMA.
• Percentages are whole numbers (72%, not 72.18%).
• Shorttitle is FibADX to comply with TV’s 10-char limit.
Why We Use Fibonacci in FibADX
Traditional DMI/ADX indicators rely on fixed numeric thresholds (e.g., ADX > 20 = “tradable”), but they ignore the relationship between +DI and −DI, which is what really determines trend conviction.
FibADX improves on this by introducing the Fibonacci Golden Ratio (φ ≈ 1.618) to measure directional dominance and classify trend strength more intelligently.
⸻
1. Fibonacci as a Natural Strength Threshold
The golden ratio φ appears everywhere in nature, growth cycles, and fractals.
Since financial markets also behave fractally, Fibonacci levels reflect natural crowd behavior and trend acceleration points.
In FibADX:
• When one DI is slightly larger than the other → BULL or BEAR (mild advantage).
• When one DI is at least 1.618× the other → STRONG BULL or STRONG BEAR (trend conviction).
• When one DI is 2.618× or more → EXTREME BULL or EXTREME BEAR (high momentum regime).
This approach adds structure and consistency to trend classification.
⸻
2. Why 1.618 and 2.618 Instead of Random Numbers
Other traders might pick thresholds like 1.5 or 2.0, but φ has special mathematical properties:
• φ is the most irrational ratio, meaning proportions based on φ retain structure even when scaled.
• Using φ makes FibADX naturally adaptive to all timeframes and asset classes — stocks, crypto, forex, commodities.
⸻
3 . Trading Advantages
Using the Fibonacci Golden Ratio inside DMI/ADX has several benefits:
• Better trend filtering → Avoid false DI crossovers without conviction.
• Catch early momentum shifts → Spot when dominance ratios approach φ before ADX reacts.
• Consistency across markets → Because φ is scalable and fractal, it works everywhere.
⸻
4. How FibADX Uses This
FibADX combines:
• +DI vs −DI ratio → Measures directional dominance.
• φ thresholds (1.618, 2.618) → Classifies strength into BULL, STRONG, EXTREME.
• ADX threshold → Confirms whether the move is tradable or just noise.
• Multi-timeframe dashboard → Aligns bias across 4H, D, W, M.
⸻
Quick Blurb for TradingView
FibADX uses the Fibonacci Golden Ratio (φ ≈ 1.618) to classify trend strength.
Unlike classic DMI/ADX, FibADX measures how much one side dominates:
• φ (1.618) = STRONG trend conviction
• φ² (2.618) = EXTREME momentum regime
This creates an adaptive, fractal-aware framework that works across stocks, crypto, forex, and commodities.
⚠️ Disclaimer : This script is provided for educational purposes only.
It does not constitute financial advice.
Use at your own risk. Always do your own research before making trading decisions.
Created by @nomadhedge
Planetary Angles - CEPlanetary Angles - Community Edition
Welcome to the Planetary Angles - Community Edition, a dynamic tool designed to enhance W.D. Gann-inspired trading by pinpointing dates when a selected planet reaches a user-defined ecliptic longitude angle. This feature-complete indicator provides traders with precise astrological timing for market analysis across equities, forex, commodities, and cryptocurrencies. It empowers traders to integrate celestial events into their strategies with ease.
Overview
The Planetary Angles - Community Edition calculates and plots vertical lines on your chart to mark dates when a chosen planet (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto) crosses a specific longitude angle (0° to 359.99°) in either heliocentric or geocentric mode. With customizable line and label styling, this script highlights key astrological moments, helping traders identify potential market turning points based on Gann’s time-theory principles. It supports multiple instances on a single chart, offering flexibility for multi-planet analysis.
Key Features
Custom Angle Selection : Choose any ecliptic longitude angle (0° to 359.99°) to track when a planet crosses that precise degree.
Planetary Coverage : Supports eight planets (Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto) for comprehensive astrological analysis.
Heliocentric and Geocentric Modes : Toggle between heliocentric and geocentric calculations to align with your preferred perspective.
Styling Options : Customize line styles (solid, dotted, dashed) and colors for lines and labels, with options to enable/disable lines and text for clarity.
Labeled Visuals : Displays labeled markers (e.g., “☿ 90°”) on the chart, with tooltips for easy identification of planetary angle crossings.
Multi-Instance Support : Add the script multiple times to track different planets or angles simultaneously on the same chart.
How It Works
Open Settings : Access the script’s settings to configure your preferences.
Enable the Script : Check the box to activate Planetary Angles.
Select a Planet : Choose from Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, or Pluto.
Set the Angle : Input a specific ecliptic longitude angle (0° to 359.99°) to track.
Choose Planetary Mode : Select heliocentric or geocentric mode for the calculations.
Customize Styling : Adjust line and label styles and colors, and enable/disable lines or labels as needed.
Analyze and Trade : Observe the plotted vertical lines and labels to identify when the selected planet crosses the chosen angle, using these moments to inform your trading strategy.
Get Started
As a gift to the TradingView community and Gann traders, the Planetary Angles - Community Edition is provided free of charge. With no features locked, this tool offers full access to precise planetary angle tracking for enhanced market timing. Trade wisely and leverage the cosmic precision of Gann’s methodology!
POC Migration Velocity (POC-MV) [PhenLabs]📊POC Migration Velocity (POC-MV)
Version: PineScript™v6
📌Description
The POC Migration Velocity indicator revolutionizes market structure analysis by tracking the movement, speed, and acceleration of Point of Control (POC) levels in real-time. This tool combines sophisticated volume distribution estimation with velocity calculations to reveal hidden market dynamics that conventional indicators miss.
POC-MV provides traders with unprecedented insight into volume-based price movement patterns, enabling the early identification of continuation and exhaustion signals before they become apparent to the broader market. By measuring how quickly and consistently the POC migrates across price levels, traders gain early warning signals for significant market shifts and can position themselves advantageously.
The indicator employs advanced algorithms to estimate intra-bar volume distribution without requiring lower timeframe data, making it accessible across all chart timeframes while maintaining sophisticated analytical capabilities.
🚀Points of Innovation
Micro-POC calculation using advanced OHLC-based volume distribution estimation
Real-time velocity and acceleration tracking normalized by ATR for cross-market consistency
Persistence scoring system that quantifies directional consistency over multiple periods
Multi-signal detection combining continuation patterns, exhaustion signals, and gap alerts
Dynamic color-coded visualization system with intensity-based feedback
Comprehensive customization options for resolution, periods, and thresholds
🔧Core Components
POC Calculation Engine: Estimates volume distribution within each bar using configurable price bands and sophisticated weighting algorithms
Velocity Measurement System: Tracks the rate of POC movement over customizable lookback periods with ATR normalization
Acceleration Calculator: Measures the rate of change of velocity to identify momentum shifts in POC migration
Persistence Analyzer: Quantifies how consistently POC moves in the same direction using exponential weighting
Signal Detection Framework: Combines trend analysis, velocity thresholds, and persistence requirements for signal generation
Visual Rendering System: Provides dynamic color-coded lines and heat ribbons based on velocity and price-POC relationships
🔥Key Features
Real-time POC calculation with 10-100 configurable price bands for optimal precision
Velocity tracking with customizable lookback periods from 5 to 50 bars
Acceleration measurement for detecting momentum changes in POC movement
Persistence scoring to validate signal strength and filter false signals
Dynamic visual feedback with blue/orange color scheme indicating bullish/bearish conditions
Comprehensive alert system for continuation patterns, exhaustion signals, and POC gaps
Adjustable information table displaying real-time metrics and current signals
Heat ribbon visualization showing price-POC relationship intensity
Multiple threshold settings for customizing signal sensitivity
Export capability for use with separate panel indicators
🎨Visualization
POC Connecting Lines: Color-coded lines showing POC levels with intensity based on velocity magnitude
Heat Ribbon: Dynamic colored ribbon around price showing POC-price basis intensity
Signal Markers: Clear exhaustion top/bottom signals with labeled shapes
Information Table: Real-time display of POC value, velocity, acceleration, basis, persistence, and current signal status
Color Gradients: Blue gradients for bullish conditions, orange gradients for bearish conditions
📖Usage Guidelines
POC Calculation Settings
POC Resolution (Price Bands): Default 20, Range 10-100. Controls the number of price bands used to estimate volume distribution within each bar
Volume Weight Factor: Default 0.7, Range 0.1-1.0. Adjusts the influence of volume in POC calculation
POC Smoothing: Default 3, Range 1-10. EMA smoothing period applied to the calculated POC to reduce noise
Velocity Settings
Velocity Lookback Period: Default 14, Range 5-50. Number of bars used to calculate POC velocity
Acceleration Period: Default 7, Range 3-20. Period for calculating POC acceleration
Velocity Significance Threshold: Default 0.5, Range 0.1-2.0. Minimum normalized velocity for continuation signals
Persistence Settings
Persistence Lookback: Default 5, Range 3-20. Number of bars examined for persistence score calculation
Persistence Threshold: Default 0.7, Range 0.5-1.0. Minimum persistence score required for continuation signals
Visual Settings
Show POC Connecting Lines: Toggle display of colored lines connecting POC levels
Show Heat Ribbon: Toggle display of colored ribbon showing POC-price relationship
Ribbon Transparency: Default 70, Range 0-100. Controls transparency level of heat ribbon
Alert Settings
Enable Continuation Alerts: Toggle alerts for continuation pattern detection
Enable Exhaustion Alerts: Toggle alerts for exhaustion pattern detection
Enable POC Gap Alerts: Toggle alerts for significant POC gaps
Gap Threshold: Default 2.0 ATR, Range 0.5-5.0. Minimum gap size to trigger alerts
✅Best Use Cases
Identifying trend continuation opportunities when POC velocity aligns with price direction
Spotting potential reversal points through exhaustion pattern detection
Confirming breakout validity by monitoring POC gap behavior
Adding volume-based context to traditional technical analysis
Managing position sizing based on POC-price basis strength
⚠️Limitations
POC calculations are estimations based on OHLC data, not true tick-by-tick volume distribution
Effectiveness may vary in low-volume or highly volatile market conditions
Requires complementary analysis tools for complete trading decisions
Signal frequency may be lower in ranging markets compared to trending conditions
Performance optimization needed for very short timeframes below 1-minute
💡What Makes This Unique
Advanced Estimation Algorithm: Sophisticated method for calculating POC without requiring lower timeframe data
Velocity-Based Analysis: Focus on POC movement dynamics rather than static levels
Comprehensive Signal Framework: Integration of continuation, exhaustion, and gap detection in one indicator
Dynamic Visual Feedback: Intensity-based color coding that adapts to market conditions
Persistence Validation: Unique scoring system to filter signals based on directional consistency
🔬How It Works
Volume Distribution Estimation:
Divides each bar into configurable price bands for volume analysis
Applies sophisticated weighting based on OHLC relationships and proximity to close
Identifies the price level with maximum estimated volume as the POC
Velocity and Acceleration Calculation:
Measures POC rate of change over specified lookback periods
Normalizes values using ATR for consistent cross-market performance
Calculates acceleration as the rate of change of velocity
Signal Generation Process:
Combines trend direction analysis using EMA crossovers
Applies velocity and persistence thresholds to filter signals
Generates continuation, exhaustion, and gap alerts based on specific criteria
💡Note:
This indicator provides estimated POC calculations based on available OHLC data and should be used in conjunction with other analysis methods. The velocity-based approach offers unique insights into market structure dynamics but requires proper risk management and complementary analysis for optimal trading decisions.