Strong Gold H4 Pressure Zones | ProjectSyndicateStrong Gold H4 Pressure Zones
Strong Gold H4 Pressure Zones maps the gold trading day the way it actually moves — split into its true H4 rhythm — and reads three institutional layers on every candle slot: which parts of the session run hot, where the previous candle's wick left unfinished business, and where price gapped away from value. It is built to run on the M5 timeframe — M5 is the execution resolution the whole engine is calibrated to, while it thinks in H4, so you see the higher-timeframe structure forming live on your chart. Load it on an M5 XAUUSD chart for correct slot alignment and zone behaviour.
Most session tools just draw a box around the day. This one grades every H4 slot, projects the pressure the last candle built, and marks the gaps — all anchored to the daily candle open, identical for every trader on the planet.
🕐 True Gold-Day Slot Engine — the core. The gold day (≈23h with its 1-hour technical break) is sliced into six real periods: an H3 opening block, then five H4 candles — aligned to the actual 04:00 / 08:00 / 12:00 / 16:00 / 20:00 boundaries, not a naïve 4-hour count. Every slot is drawn as a shaded box built live from that slot's own high/low, anchored to the daily candle's open so the zones are the same in Miami, Dubai or Singapore regardless of chart timezone.
⏱️ Runs on M5 — by design. This indicator is meant to be applied on the M5 timeframe. The six H4 slots are built up tick by tick from M5 candles, and the pressure, volatility and FVG zones are all calibrated to that resolution. Apply it to an M5 chart — other timeframes will not slice the gold day correctly.
📊 20% Increment Grid — read position at a glance. Each slot box is split by horizontal guides at 0 / 20 / 40 / 60 / 80 / 100% of its range, labelled on the right. Instantly see whether price is pressing the extremes of the current H4 or coiling in the middle — the exact levels institutions lean on within a candle.
🌋 30-Day Session Volatility Profile — the rhythm read. This is not the current candle's volatility. Each of the six slots is averaged over the last 30 days and the six averages are ranked against each other 0–10, printing a fixed grade on every slot — CALM, MODERATE, HIGH, EXTREME. You learn which H4 windows of the gold session typically explode and which drift, so you size and time around the day's real character instead of guessing. The rank is static and colour-graded (calm teal → extreme purple), only drifting slowly as the rolling window updates.
🧲 Prior-Candle Pressure Zones — the wick memory. The heart of the tool. The moment a slot closes, it's read as a single composite H4 candle and its dominant wick is projected forward as a fixed pressure band inside the next slot:
A strong upper wick on the prior candle → SELL PRESSURE zone near the top (rejection from above — supply left overhead).
A strong lower wick on the prior candle → BUY PRESSURE zone near the bottom (rejection from below — demand left beneath).
Each band is graded 0–10 on wick dominance and printed with its score (▲ BUY PRESSURE 8.4/10 · ▼ SELL PRESSURE 7.2/10), opacity scaling with strength. These are fixed the instant the prior candle closes — they never repaint.
🔀 Prior-Slot Fair Value Gap — the imbalance carry-over. A true three-candle FVG detected on the H4 slots themselves (the slots are the candles), projected as a clean Fair Value Gap zone into the current slot, normalized to one uniform ATR-based height so no single gap swallows the chart. An optional gap-size filter keeps the noise out. You see the imbalance the last three candles left, drawn where it matters, without the clutter.
🎨 Fully Themed & Configurable. Volatility-graded box tones, custom buy/sell pressure and FVG colours, neutral increment grid, adjustable opacities, 2× increment and rank label sizing, per-module toggles, configurable opening-block / break / slot hours, volatility lookback, wick thresholds, FVG ATR length / extend / height, and sessions-to-plot depth.
🔒 Honest, Fixed-Zone Core. The live slot box repaints in price as the candle forms — inherent to showing a real-time H4 building on M5, not a defect. But every fixed output — the pressure bands, the FVG, the volatility rank — is locked to the prior completed candle and never redraws to flatter the chart. The 0–10 scores are descriptive ranking frameworks for directing attention, not backtested signals.
🚀 Built for XAUUSD on the M5 timeframe — the slot model matches gold's 23-hour day and 1-hour break out of the box. Use it on an M5 gold chart (adjust the hour inputs for other instruments).
🎯 How To Trade It — Pressure From The Prior H4
⏱️ Load the indicator on an M5 XAUUSD chart before anything else — the entire slot model is built for M5.
Everything hinges on one read: the last H4 candle told you where price got rejected — trade the current candle expecting that pressure to hold, or break with conviction when it fails.
◾ 1) Fade into a prior-candle pressure zone (the core thesis)
Use when the previous H4 left a strong wick and the current slot rotates back into that band.
▪️ The prior candle prints a strong lower wick → a graded BUY PRESSURE zone sits in the lower portion of the current slot. Buyers already defended there once. ▪️ Wait for price to rotate down into that band inside the current slot — ideally near the 0–20% increment level. ▪️ Entry: long as price reacts inside the buy-pressure zone; the higher the score (7+), the more the prior candle insisted on that level. ▪️ Stop: below the zone — if price closes through and accepts beneath it, the demand failed; stand aside. ▪️ Target: the mid-grid (50%) first, the opposite edge / prior-candle high on extension.
The mirror applies for a strong upper wick → SELL PRESSURE zone up top: fade rallies into it, stop above, target back down through the grid.
◾ 2) Weight it with the session profile
▪️ A pressure zone landing in a HIGH / EXTREME volatility slot means the reaction can be violent — expect follow-through and give the target room. ▪️ The same zone in a CALM slot means muted rotation — take the mid-grid and don't overstay. ▪️ The volatility rank tells you how hard the day's structure usually moves in that window before you commit.
◾ 3) Read the FVG as the pull
▪️ An unfilled Fair Value Gap projected into the current slot is where price is imbalanced — it often gets revisited. A buy-pressure zone below an open bullish FVG is confluence: rejection level plus imbalance both pointing up. ▪️ When a pressure zone and the FVG point opposite ways, that's conflict — let the slot resolve before committing.
◾ 4) Stand down — the map says wait
▪️ Prior candle closed as a clean body with no dominant wick → no pressure zone drew → no edge from rejection this slot. ▪️ Price already accepted through the pressure band → the level's spent. ▪️ CALM slot with no FVG and price mid-range → nothing worth risking on; let it develop.
Rule of thumb: ⭐ Strong prior-candle wick + price rotating into that graded pressure zone + a HIGH-volatility slot or aligned FVG → trade the rejection with the pull. ⭐ No wick, consumed zone, or dead CALM mid-range → stand down until the next candle sets the map.
⚠️ IMPORTANT NOTICE: Strong Gold H4 Pressure Zones is a structure-mapping tool designed for the M5 timeframe on XAUUSD. Pressure zones are projected from the prior H4 candle's wick geometry, the volatility rank is a 30-day per-slot average, and FVGs are drawn from three-candle gap logic — a model of behaviour, not exchange order-book data. The 0–10 scores are descriptive ranking frameworks for directing attention — NOT backtested signals and NOT standalone trade triggers. Fading into prior-candle pressure still carries real risk of failed levels and stop-outs. Always combine it with your own strategy, price-action analysis and risk management. Past behaviour does not guarantee future results. Indicator
Uptrick: Trend Pressure LineIntroduction
Uptrick: Trend Pressure Line is a trend-following overlay that measures directional pressure by combining price displacement from a moving average, candle body strength, and short-term momentum into a single weighted composite. The composite is smoothed and converted into both a dynamic trend line and a bar coloring system, giving traders a continuous read on how strong buying or selling pressure is, rather than a simple binary trend flag.
Originality
While the script uses common building blocks such as an EMA baseline and ATR normalization, its originality lies in how these components are combined. Instead of relying on a single trend filter, the script blends three independently weighted pressure sources, price position relative to trend, candle body direction, and bar-to-bar momentum, into one normalized pressure value using user-adjustable weights. This composite pressure value is then used simultaneously to plot a smoothed adaptive trend line, generate a three-color gradient reflecting pressure intensity, calculate a reversal probability score based on how stretched pressure is relative to its recent range, and drive bar coloring through three separate selectable modes. No single one of these elements is novel on its own, but the integration of weighted multi-factor pressure scoring with a dedicated reversal exhaustion metric and multi-mode visual feedback is not a standard combination found in common trend or ATR-band indicators.
Features
Weighted trend pressure engine combining price position, candle body, and momentum into one composite score
Adjustable weighting for each of the three pressure components
Smoothed adaptive trend line plotted directly on the chart
Three-color gradient (bearish, neutral, bullish) that reflects live pressure intensity
Up and down trend signals with optional cooldown to reduce repeated signals
Four selectable signal anchor points (Default, High/Low, Close, Trend Line)
Optional take profit signals based on an ATR multiple from entry
Reversal probability calculation based on pressure stretch and distance from the trend line
Adjustable reversal lookback and sensitivity settings
Three selectable bar coloring modes (Reversal Probability, Latest Signal, Current Default)
Strong and extreme pressure level alerts for both bullish and bearish conditions
Dashboard table showing trend state, signal state, bars since last signal, pressure value, reversal percentage, bar mode, take profit status, ATR value, and trend line value
Four selectable table positions
19 distinct alert conditions covering signals, flips, pressure levels, and price/line crosses
Inputs
Source, Trend Length, ATR Length, Pressure Smoothness, and Line Smoothness control the core trend engine
Price Position Weight, Candle Body Weight, and Momentum Weight control how the three pressure components are blended
Show Up/Down Signals, Trend Threshold, Signal Cooldown, and Signal Anchor control signal generation and placement
Show TP Signals and TP ATR Multiplier control the optional take profit logic
Line Width, Gradient Sensitivity, Gradient Smoothness, and Bar Coloring Mode control the visual presentation
Reversal Lookback, Reversal Sensitivity, and High Reversal Alert Level control the reversal probability calculation
Strong Pressure Level and Extreme Pressure Level set the thresholds for pressure strength alerts
Show Table and Table Position control the on-chart dashboard
How It Works
The script builds a baseline using an EMA of price, then measures three separate pressures relative to ATR: how far price sits from that baseline, the strength of the current candle's body, and short-term momentum. These three values are combined using the user's weight settings and smoothed to produce a single pressure reading. This pressure reading is added to the baseline to draw the adaptive trend line, and it is also compared against a threshold to classify the market as bullish, bearish, or neutral, which drives the up and down signals. Separately, the script tracks how far current pressure is from its recent extreme and how far price has drifted from the trend line, combining both into a reversal probability percentage that increases as a trend becomes stretched.
How to Use
Watch the trend line color and the dashboard Trend row together to identify the current directional bias at a glance
Use the Up and Down labels as potential entry cues, and adjust Signal Cooldown if signals print too frequently on your chart's timeframe
Adjust the three weight inputs (Price Position, Candle Body, Momentum) if you want the pressure reading to favor trend positioning, candle strength, or short-term speed, depending on your trading style
Monitor the Reversal row on the dashboard as a trend matures; a rising percentage suggests the current move is becoming stretched and may be due for a pause or reversal
Switch Bar Coloring Mode to Reversal Probability if you want the candles themselves to visually flag exhaustion, or to Latest Signal if you prefer bars colored by the most recent up/down call
Enable Show TP Signals and set a TP ATR Multiplier if you want a visual marker for a fixed ATR-based profit target after each signal, then adjust the multiplier to match your own target distance
Use Signal Anchor to reposition labels relative to price action, high/low, or the trend line itself depending on chart clutter or personal preference
Set alerts on any of the nineteen available conditions to be notified of trend flips, pressure extremes, or price crossing the trend line without needing to watch the chart continuously
Conclusion
Uptrick: Trend Pressure Line gives traders a single adaptive line and pressure reading that reflects the combined influence of price positioning, candle strength, and momentum, along with a built-in gauge for how exhausted the current trend may be. It is intended as a trend and exhaustion visualization tool rather than a standalone signal generator.
Disclaimer
This script is provided for informational and educational purposes only and does not constitute financial advice. Past performance, including any signals or visual patterns shown on the chart, is not indicative of future results. Trading involves substantial risk, and users should perform their own analysis and risk management before making trading decisions based on this or any other indicator. Indicator
CVD Pressure Aura [Weather HUD]Order flow rendered as living weather around the price — an immersive perception tool, not a signal generator.
CVD Pressure Aura turns cumulative volume delta into a living atmospheric heads-up display that surrounds your candles like weather around a glass pane.
Instead of staring at abstract bars in a separate pane, you now feel the pressure regime directly on the chart: buying pressure pushing up from below as a glowing green aura, selling pressure pouring down from above as a red flood. The market’s breathing, compression, and exhaustion become visible at a glance.
How to Read It
A smooth envelope (default: Bollinger 20 SMA ± 2σ, now with optional smoothed Keltner channel) acts as the “glass.” All order flow lives outside it — the candles stay clean and readable at all times.
🌱 Green aura below — buying pressure rising from beneath. Taller and brighter = stronger, more persistent demand.
🌧 Red flood above — selling pressure pouring down. Same logic, mirrored.
The Aura Breathes
A slow SMA (200 default) drives the regime engine:
Compression — When volatility squeezes, cyan clamps close in from above and below, tightening the coil. You can literally watch the market rally straight into a pressure zone and feel the crowd standing at that level.
Exhaustion — When price stretches far from the slow SMA, the opposing aura swells (gravity above an over-extended rally, spring loading beneath an over-extended sell-off). ⚡ marks full stretch.
Symbols (full weather legend available on-chart)
🡑 / 🡓 — strong one-sided flow this bar (sparks / rain)
☀ / ☂ — extreme flow, top 10% of lookback (thermal / storm)
⚡ — full exhaustion (maximally stretched from slow SMA)
▼ cyan — full coil (tightest squeeze of the lookback)
✦ orange (above) — bearish divergence: new price high, CVD refuses to follow
✦ cyan (below) — bullish divergence: new price low, CVD refuses to follow
Key Features
New: Smoothed Keltner Channel option for a cleaner, more adaptive glass pane
Cyan compression clamps that visually tighten during squeezes
Overdrive slider (0–100) for full immersion
Rolling regime engine with breathing mechanics
Works on any timeframe and symbol with volume
This is a perception instrument, engineered to make order flow feelable rather than merely measurable. Nothing here is financial advice — it exists to help you develop an intuitive sense of market pressure.
Engineered with Claude (Anthropic). Feedback and ideas for future iterations are very welcome.
Release notes (v1.2)
NEW: Keltner Channel envelope mode (SMA or EMA basis ± ATR) — the smoothest glass
NEW: Cyan compression clamps replace the coil glyph — squeeze pressure now presses visibly on the envelope from both sides, readable at any zoom level
NEW: State-colored moving averages — slow SMA by slope, basis by regime (cyan coil / green bull / red bear / gray indecision)
On-chart weather legend, default bottom-left (clear of the PulseWire symbol overlay)
Plot budget optimized to fit the 64-plot engine limit
Indicator
Multi-Period Divergence OscillatorMulti-Period Divergence Oscillator
A bounded buying-pressure oscillator built to expose divergences that are corroborated across multiple measurement windows at once — and, optionally, across timeframes — then scores its own divergences forward on your chart in plain language so you can see at a glance whether to act or wait.
Why this construction (not a mashup for show). Single-window oscillators throw frequent, fragile divergences. The fix, by design, is to measure buying pressure over three windows (fast, medium, slow) and weight them into one line, so a divergence only forms when short-, medium- and long-horizon pressure agree. This tool layers two further filters that each remove a class of false signal: higher-timeframe confirmation (a divergence that also shows on a higher timeframe is far less likely to be noise), and forward calibration (instead of assuming a divergence "should" reverse price, it measures whether it actually has, on this symbol, with realistic profit/stop outcomes). The oscillator, the divergence engine, the MTF check and the calibration form one coherent tool — none alone is sufficient, which is why they're combined.
How it works. Buying pressure = close − min(low, prior close); true range = max(high, prior close) − min(low, prior close). The oscillator weights their sums over three windows (default 7/14/28). Divergence is detected from confirmed price pivots versus the oscillator (regular and optional hidden). With HTF confirmation on, a signal counts only if a same-direction divergence is also present on the chosen higher timeframe. Each signal is then labelled by a triple barrier — a profit target and equal stop in ATR units plus a time limit — split into in-sample and recent out-of-sample, with a confidence interval and a multiple-testing check.
How to use. Read the Verdict row (Bull/Bear divergence confirmed, "unconfirmed," or Wait) and the Conviction row, which reads "High" only when that divergence type shows a positive edge that survives the test on this symbol. A divergence is a reversal warning, not a trend signal — pair it with your own entry trigger and risk plan. Best used alongside structure, not alone.
What's original. Higher-timeframe divergence confirmation on a multi-window oscillator, the forward triple-barrier calibration with an out-of-sample split, and a conviction read that openly admits when there's no proven edge.
Inputs. High/Low/Close sources (change them for any market), reading mode (Simple/Pro), oscillator windows, divergence and HTF-confirm controls, full calibration settings, and an auto-adapting dashboard legible on dark or light charts. Defaults are tuned for NSE:NIFTY1! intraday.
Honesty & limitations. Edge figures are computed on this chart's own history with overlapping windows and no costs — context, not a guaranteed backtest; past behaviour doesn't predict the future. Divergence is inherently early and can persist before price turns.
Disclaimer: for research and education only. Not financial advice. Trading carries risk of loss; manage your own positions. Indicator
Order Pressure Cloud [JOAT]Order Pressure Cloud is an open-source Pine Script v6 overlay that estimates directional pressure from close location value, candle body bias, and volume participation. It then projects that pressure around an ALMA/EMA blended basis as a volatility-adjusted cloud.
The script is designed for pressure context. It does not read real order book data. Instead, it creates a transparent price-and-volume proxy that can show whether bars are closing toward highs or lows, whether volume is participating, and whether price is holding above or below the adaptive basis.
Core Concepts
1. Close Location Value
The close location value measures where the candle closes inside its high-low range. A close near the high produces positive pressure, while a close near the low produces negative pressure.
barRange = math.max(high - low, syminfo.mintick)
clv = ((close - low) - (high - close)) / barRange
2. Volume-Weighted Pressure
The script smooths CLV multiplied by volume and divides it by smoothed volume. This produces a normalized pressure ratio.
pressureNumerator = ta.ema(clv * volume, pressureLengthInput)
pressureDenominator = ta.ema(volume, pressureLengthInput)
pressureRatio = safeRatio(pressureNumerator, pressureDenominator)
3. Body Bias Component
Body direction is also included. The body component is weighted by a capped volume pulse so unusually large bars do not dominate the reading indefinitely.
4. Nonlinear Strength
The composite pressure is compressed with a nonlinear transform. This keeps extreme values readable and easier to display as a cloud strength score.
5. ALMA/EMA Basis Cloud
The basis blends ALMA and EMA. ATR, pressure strength, and volume pulse expand or contract the cloud width.
Features
CLV pressure proxy: Measures where price closes inside each candle range
Volume participation: Weights pressure by volume while normalizing by smoothed volume
Body pressure component: Adds candle body direction to the pressure model
Nonlinear strength scale: Converts pressure into a bounded -100 to +100 value
Adaptive cloud: Cloud width adjusts with ATR, pressure strength, and volume pulse
Basis blend: ALMA and EMA create a smoother central reference
Pressure zones: Confirmed pressure shifts and holds create clean boxes with pressure percentage and volume pulse data
Confirmed buy/sell labels: Compact labels mark pressure shifts and pressure-cloud holds after bar close
Strength gauge: Top-right dashboard shows pressure, volume, basis side, and cloud scale
Alerts: Pressure shifts, cloud holds, confirmed buy, and confirmed sell conditions
Input Parameters
Source: Price source for the basis
Pressure Length: Smoothing length for pressure calculations
Basis Length: Length for ALMA and EMA basis
ALMA Offset / ALMA Sigma: ALMA shape controls
ALMA Share: Blend weight between ALMA and EMA
ATR Length: Volatility length for cloud width
Cloud Multiplier: Base cloud distance
Signal Level: Strength threshold for pressure shifts
Paint Bars: Enables pressure candle tint
Strength Gauge: Shows dashboard
Pressure Zones: Toggles pressure data boxes
Buy/Sell Signals: Toggles compact confirmed labels
Zone Width: Bars each pressure box extends
Zone History: Maximum pressure boxes retained
Palette: Selects color pair
How to Use This Indicator
Step 1: Read the Gauge
The pressure row shows whether the current pressure score is above, below, or near neutral.
Step 2: Watch Basis Holds
A cloud hold means price interacted with the inner cloud while pressure remained directional.
Step 3: Compare Pressure With Price Location
Pressure is more meaningful when price is on the same side of the basis as the pressure reading.
Indicator Limitations
This is a price-and-volume proxy, not direct order book data
Volume availability differs between markets and symbols
Low-volume symbols can produce unstable pressure readings
Pressure shifts are reactive and can reverse during choppy conditions
Originality Statement
Order Pressure Cloud is original in how it combines CLV, body bias, volume pulse, nonlinear strength compression, and an adaptive ALMA/EMA cloud. It is built as original Pine v6 code from public market data fields.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Pressure proxies can be inaccurate, especially where volume data is incomplete or irregular. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades Indicator
Buy/Sell Pressure# **Buy/Sell Pressure**
Buy/Sell Pressure is designed to provide insight into **who is actually controlling the market beneath the surface**. Rather than focusing exclusively on whether price is moving higher or lower, the indicator attempts to determine whether those price movements are being supported by genuine buying interest or genuine selling pressure.
Markets do not always move because one side is aggressively taking control. Sometimes prices drift higher simply because sellers temporarily step aside. Other times, prices fall because buyers become reluctant rather than because sellers are overwhelming the market. Looking at price alone can make these distinctions difficult to recognize.
Buy/Sell Pressure was developed to address that problem.
The indicator combines several different aspects of market behavior into a single, easy-to-read oscillator. By evaluating how price behaves within each bar, how volume participates in those movements, and whether underlying money flow supports the move, it attempts to provide a clearer picture of the balance of power between buyers and sellers.
The goal is not to predict the future. Instead, the goal is to answer a simpler but often more useful question:
> **Who appears to be winning the battle right now: buyers or sellers?**
---
# **What the Indicator Is Measuring**
Buy/Sell Pressure evaluates multiple dimensions of market behavior simultaneously.
It examines where price closes within the range of each bar. A market that consistently closes near the upper portion of its range often reflects persistent buying interest. Conversely, a market that repeatedly closes near the lower portion of its range may indicate sustained selling pressure.
The indicator also evaluates the relationship between opening and closing prices. Large bullish bodies suggest buyers were able to maintain control throughout the period, while large bearish bodies suggest sellers dominated the session. Smaller candle bodies generally indicate indecision or equilibrium between the two sides.
Wick behavior is another important component. Long lower shadows often suggest that sellers attempted to push prices lower but buyers stepped in aggressively enough to reject those lower levels. Long upper shadows may indicate that buyers attempted to push prices higher but encountered significant selling resistance. These subtle forms of rejection can reveal underlying pressure that may not be obvious from price alone.
Volume is then incorporated into the calculation. Price movement occurring during periods of elevated participation tends to carry greater significance than identical price movement occurring during quiet conditions. By weighting certain behaviors according to volume, the indicator attempts to emphasize moves that are supported by broader market involvement.
The indicator also considers money flow and cumulative volume behavior. This helps determine whether capital has generally been flowing into the market or out of it over recent periods. These additional layers of analysis help distinguish meaningful shifts in pressure from ordinary short-term fluctuations.
The result is a composite measure designed to identify whether **buying pressure is strengthening, selling pressure is strengthening, or neither side currently has a meaningful advantage.**
---
# **Understanding the Histogram**
The primary visual component of the indicator is the histogram.
The histogram oscillates around a central zero line. The further the histogram extends away from that centerline, the stronger the underlying pressure is considered to be.
The direction and color of the histogram provide insight into the current balance between buyers and sellers.
---
## **Green Histogram Bars**
Green histogram bars indicate that underlying buying pressure is present.
When the histogram begins printing green bars, it suggests that buyers are exerting increasing influence over market behavior. Price action is becoming increasingly supported by demand rather than simply drifting higher due to a lack of sellers.
As green bars expand in size, the strength of buying pressure is increasing. This often occurs during healthy uptrends, breakout phases, or periods of sustained accumulation.
---
## **Red Histogram Bars**
Red histogram bars indicate that underlying selling pressure is dominant.
These readings suggest that sellers are becoming increasingly aggressive and that downward price movement is being supported by genuine supply entering the market.
As red bars grow larger, selling pressure is intensifying. These conditions frequently accompany strong downtrends, breakdowns, or periods of distribution.
---
## **Gray Histogram Bars**
Gray histogram bars represent neutral conditions.
During these periods, neither buyers nor sellers possess a sufficiently strong advantage to justify a directional reading.
Neutral conditions often occur during:
* Consolidation phases.
* Sideways markets.
* Transitional periods between trends.
* Areas of temporary equilibrium.
Gray bars can serve as a reminder that not every market environment is favorable for directional decision-making.
---
## **Extreme Pressure Conditions**
The indicator also identifies periods when buying or selling pressure becomes unusually strong relative to recent history.
These conditions are represented by brighter shades of green or red.
Extreme readings indicate that conviction is significantly elevated. Buyers or sellers are demonstrating an unusual degree of control compared to what has been considered normal over the selected historical period.
It is important to understand that extreme readings should not automatically be interpreted as reversal signals.
Strong markets can remain strong for extended periods. Likewise, weak markets can continue to weaken. Extreme readings are best viewed as evidence of exceptional pressure rather than immediate exhaustion.
---
# **The Signal Line**
The orange signal line provides a smoother representation of the underlying pressure reading.
Because it is less reactive than the histogram itself, it can help traders focus on broader shifts in pressure rather than becoming distracted by every short-term fluctuation.
A rising signal line generally reflects improving conditions for buyers.
A falling signal line generally reflects strengthening conditions for sellers.
Many users find the signal line useful when assessing whether pressure is accelerating, stabilizing, or beginning to deteriorate.
---
# **Pressure Dots**
The indicator includes optional pressure dots designed to highlight important transitions in market control.
Users can choose between two different methods for generating these signals.
---
## **Zero Cross Mode**
In Zero Cross mode, a green dot appears when pressure crosses above the zero line, while a red dot appears when pressure crosses below zero.
These signals occur relatively early because they identify the point at which the balance of pressure shifts from negative to positive or vice versa.
The advantage of this approach is speed.
The disadvantage is that early signals can occasionally occur during temporary fluctuations that fail to develop into meaningful trends.
---
## **First Colored Bar Mode**
In First Colored Bar mode, dots appear only when pressure moves decisively beyond the neutral zone and the first meaningful buying or selling histogram bar is printed.
Green dots identify the first significant buying bar.
Red dots identify the first significant selling bar.
Because these signals require stronger confirmation, they tend to occur later than zero-cross signals.
However, they are often cleaner and easier to interpret.
This mode is the default setting because it focuses on identifying **meaningful pressure shifts rather than merely technical transitions around the zero line.**
---
# **Understanding the Inputs**
---
## **Confirmed Bars Only (Non-Repainting)**
When enabled, all calculations are based exclusively on completed bars.
This prevents signals from changing after a bar closes and ensures that historical signals accurately reflect what would have been visible in real time.
The tradeoff is that signals appear one bar later.
This setting is enabled by default because reliability is often more valuable than immediacy.
---
## **Show Confirmed Mode Label**
This optional label provides a visual reminder that non-repainting mode is active.
It has no impact on calculations and exists purely for convenience.
The label is disabled by default to preserve a cleaner appearance.
---
## **Pressure Lookback**
This setting controls how persistent underlying pressure must be before the indicator fully reflects it.
Lower values produce a more responsive oscillator that reacts quickly to changing conditions.
Higher values produce a smoother oscillator that emphasizes sustained pressure rather than short-term fluctuations.
The default value of **50** attempts to strike a balance between responsiveness and stability.
---
## **Score Smoothing**
Score Smoothing determines how aggressively the raw pressure calculations are filtered before reaching the final oscillator.
Increasing this value reduces noise but delays transitions.
Decreasing it improves responsiveness but increases sensitivity.
The default value of **5** provides moderate smoothing without excessively sacrificing timeliness.
---
## **Volume Baseline**
Volume Baseline establishes the historical reference used to determine whether current participation levels are unusually high or unusually low.
Higher settings create a more stable volume benchmark.
Lower settings allow the indicator to adapt more quickly to changing market environments.
---
## **Normalization Lookback**
Normalization Lookback determines how much historical information is used when establishing what constitutes "normal" pressure conditions.
Shorter values adapt rapidly but may cause thresholds to shift more frequently.
Longer values create a more stable frame of reference.
The default value of **100** was chosen to emphasize consistency and reduce sensitivity to temporary anomalies.
---
## **Signal Line Length**
This setting controls the responsiveness of the signal line.
Shorter lengths allow the signal line to track pressure more closely.
Longer lengths smooth the signal line and emphasize broader trends.
---
## **Money Flow Length**
Money Flow Length determines how much historical information is used when evaluating whether capital has generally been entering or exiting the market.
Smaller values respond quickly to recent changes.
Larger values emphasize longer-term participation trends.
---
## **OBV Pressure Length**
This setting controls how much cumulative volume history contributes to the assessment of broader buying and selling participation.
Lower values prioritize recent developments.
Higher values place greater emphasis on sustained pressure trends.
---
## **Neutral Zone**
The Neutral Zone defines the boundary separating insignificant pressure from meaningful pressure.
Histogram readings that remain inside this area are considered inconclusive and are displayed using neutral colors.
Reducing the size of the neutral zone increases sensitivity.
Expanding it requires stronger evidence before directional readings are generated.
The default setting of **35** attempts to filter out routine market noise while remaining responsive to meaningful shifts.
---
## **Extreme Level**
The Extreme Level determines when pressure becomes exceptionally strong relative to recent market conditions.
Readings beyond this threshold are highlighted using brighter colors.
These conditions often reflect unusually strong conviction but should not automatically be interpreted as reversal opportunities.
The default value of **75** identifies situations where pressure has become significantly elevated.
---
# **Practical Applications**
Buy/Sell Pressure can be used in a variety of ways.
Many traders use it as a confirmation tool during breakouts. When price breaks through an important level while buying pressure simultaneously strengthens, the move may possess greater credibility.
Others use it to evaluate pullbacks. Temporary declines occurring during periods of weak selling pressure may suggest healthy retracements within larger uptrends. Similarly, weak buying pressure during countertrend rallies may indicate that bearish conditions remain intact.
The indicator can also help identify potential exhaustion. If price continues advancing while buying pressure steadily deteriorates, the underlying trend may be losing support. Likewise, continued price declines accompanied by weakening selling pressure may suggest that bearish momentum is beginning to fade.
Finally, Buy/Sell Pressure can serve as a valuable trade filter. Traders who already possess an established strategy may use the indicator to align themselves with the prevailing side of the market.
---
# **Final Thoughts**
Buy/Sell Pressure was designed to help traders look beyond price itself and focus on the forces driving that price movement.
Rather than asking whether the market moved higher or lower, it asks whether buyers or sellers genuinely supported that move.
By combining price behavior, volume participation, money flow characteristics, and cumulative pressure analysis into a single adaptive framework, the indicator seeks to provide a clearer understanding of market conviction.
Its purpose is not to predict exactly what the market will do next.
Its purpose is to help answer a more immediate and practical question:
> **If a battle is taking place between buyers and sellers, which side currently appears to have the advantage?** Indicator
Delta Barometer [JOAT]Delta Barometer
Introduction
Delta Barometer is an open-source dual-engine institutional pressure indicator that generates directional signals from two independent momentum measurement systems — an ATR trailing stop with Trend Strength Score, and a cumulative delta volume crossover with Pressure Score — and allows the user to configure how the two engines interact via four hybrid modes.
The core insight is that trend-following signals and momentum signals often disagree during transition periods and agree during high-probability setups. By building both engines independently, assigning each a score that reflects the quality of its reading, and providing modes that require either one engine, either engine, or both engines simultaneously, the indicator lets traders choose the selectivity level appropriate to their strategy. Requiring confluence produces fewer but higher-quality signals; allowing either engine to fire produces more signals with less selectivity.
Core Concepts
1. Engine A: ATR Trailing Stop with Trend Strength Score
A regime-adaptive ATR trailing stop is computed with different multipliers for low, medium, and high volatility environments. The ATR ratio determines the regime. The trail ratchets in one direction only and produces a signal on flip.
A Trend Strength Score (TSS) between 0 and 100 qualifies each trail flip: RSI slope magnitude contributes 40%, volume rate relative to its average contributes 35%, and ATR expansion relative to a shorter ATR period contributes 25%.
float tssScore = (rsiSlopeComp * 0.40 + volRatioComp * 0.35 + atrExpandComp * 0.25) * 100
2. Engine B: Cumulative Delta Volume with Pressure Score
Signed volume (positive when close is above open, negative otherwise) is accumulated into a running cumulative delta. A moving average of the cumulative delta is computed. A crossover of delta above its moving average is a potential bullish signal; a crossunder is bearish.
A Pressure Score between 0 and 100 qualifies each delta crossover: the magnitude of the delta ratio contributes 40%, volume rate relative to average contributes 35%, and candle body size relative to candle range contributes 25%.
3. Four Hybrid Modes
Both Engines: A signal requires both Engine A and Engine B to produce a raw signal simultaneously. Highest selectivity.
Priority A: Engine A signals take precedence; Engine B fills gaps where A is not firing.
Priority B: Engine B signals take precedence; Engine A fills gaps where B is not firing.
Either Engine: A signal fires when either engine produces a raw signal. Highest frequency.
4. Regime Arming
Each engine can be restricted to fire only in compatible volatility regimes — preventing the trailing engine from generating whipsaw signals during volatility compression.
5. Five-State Pressure Candle Coloring
Bar colors reflect the combined pressure state across both engines on a five-level scale: strong bull, moderate bull, neutral, moderate bear, strong bear.
Features
Engine A — ATR trail with TSS: Regime-adaptive trailing stop with Trend Strength Score qualifying each flip signal
Engine B — Delta volume with Pressure Score: Cumulative signed volume crossover with composite Pressure Score qualification
Four hybrid modes: Both Engines, Priority A, Priority B, Either Engine — configurable selectivity
Regime arming: Each engine independently armed for specific volatility regimes
Five-state pressure candle coloring: Strong bull / moderate bull / neutral / moderate bear / strong bear reflected in bar colors
Gradient trail fill: Gradient between trailing stop and close; color inverts with trail direction
Trade block on signal: Entry, stop (correctly positioned above entry for shorts, below for longs), and TP level rendered as colored boxes on confirmed signals. Stop line is bold dashed red with high-contrast label background. Entry always sits visually between the stop and take-profit zones
9-column horizontal dashboard: Mode, regime, TSS, pressure score, trail direction, delta, engine ID, signal state, status — shown in a horizontal table layout at chart bottom
Non-repainting: All signals confirmed on barstate.isconfirmed
Four color themes: Phantom, Neon, Classic, Solar
Backtest tracker: Win rate and expected value tracked per engine type
Input Parameters
Engine A — ATR Trail:
ATR Length, Low/Med/High Regime Multipliers
Regime ATR Lookback, Low/High Vol Thresholds
TSS Lookback and Min TSS Score to fire
Engine B — Delta Volume:
Delta MA Length, Min Pressure Score
RSI Overbought/Oversold gates
Hybrid Mode:
Hybrid Mode: Both Engines / Priority A / Priority B / Either Engine
Engine A and B arming: All / Low Only / Med + High / High Only
Signal:
Cooldown Bars, TP ATR Multiple, SL % from Entry
How to Use This Indicator
Step 1: Select the Hybrid Mode
Start with Either Engine for maximum signal frequency. Switch to Both Engines when you want only the highest-conviction setups. Priority modes are useful when you trust one engine more than the other for a particular asset.
Step 2: Read the 9-Column Dashboard
The horizontal dashboard shows the current state of both engines simultaneously. The ENGINE column shows which engine fired (A, B, or A+B for confluence). The TSS and PRESSURE columns show the raw quality scores of each engine.
Step 3: Verify Trade Block Direction
For LONG signals: the red risk box appears below entry (stop is below) and the green reward box appears above entry (TP is above). For SHORT signals: the red risk box appears above entry (stop is above) and the green reward box appears below entry (TP is below). Entry is always the dividing line between the two zones.
Step 4: Use Regime Arming for Market Fit
If the asset tends to trend strongly, arm Engine A for all regimes. If it is more volatile-momentum driven, arm Engine B for all regimes. Use Med + High arming for Engine A to avoid choppy low-volatility whipsaws.
Indicator Limitations
The TSS score components all lag price by varying amounts. Signals in fast-moving markets may arrive after the optimal entry point
Cumulative delta volume as used here is a proxy. It approximates institutional bias without access to true bid-ask tick data
Both Engines mode will produce very few signals on most assets. Adjust to Priority or Either modes if signal frequency is too low
Regime classification uses ATR ratio, which is a lagging measure. A volatility spike that changes the regime will affect engine arming only after ATR responds
Originality Statement
The dual-engine architecture with four configurable interaction modes — each engine carrying its own qualification score — and per-engine regime arming is an original design not replicated in existing open-source Pine Script v6 publications
The Trend Strength Score weighting RSI slope, volume rate, and ATR expansion as qualification for ATR trail flip signals, combined with a separate Pressure Score for delta crossovers, provides independent signal quality assessment that single-engine indicators do not offer
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss. Past signal statistics do not predict future performance. The author accepts no responsibility for trading losses resulting from use of this indicator.
Made with passion by jackofalltrades
Indicator
Prismatic Depth [JOAT]Introduction
Prismatic Depth is an open-source multi-pillar institutional signal filter that scores bullish and bearish market pressure across nine independent analytical dimensions simultaneously. Rather than generating a signal from any single indicator, Prismatic Depth requires a weighted composite score above a configurable threshold, a minimum directional lead between bull and bear scores, and alignment of up to five optional confirmation gates — all at the same time.
The problem this solves is signal noise. Most indicators produce signals from a single input: a moving average crossover, an RSI threshold, a volume spike. Each of these fires constantly in all market conditions, including conditions where it has no historical edge. Prismatic Depth measures nine separate market properties and only produces a signal when a statistically unusual number of them agree simultaneously. The result is a lower-frequency, higher-context signal that reflects a broader institutional consensus rather than a single technical event.
Core Concepts
1. The Nine-Pillar Scoring Architecture
Each pillar measures a distinct market property independently. Pillar weights are user-configurable and sum to produce a maximum possible score of 100. The nine pillars are:
Structure: Detects higher-high / higher-low and lower-high / lower-low sequences using confirmed pivot highs and lows. A bullish structural sequence adds the Structure weight to the bull score.
Volume: Measures the slope of On-Balance Volume using linear regression over 20 bars. A rising OBV slope contributes to the bull score; falling contributes to bear.
Momentum: Blends three momentum inputs — Kaufman Adaptive Moving Average position, RSI relative to 50, and Williams Percent Range relative to midpoint. Each sub-component is weighted equally at one-third.
Liquidity: Detects swing-low sweeps — bars where price wicks below the last confirmed swing low and closes back above it. These represent stop-hunt events followed by institutional absorption.
Volatility: Evaluates whether the ATR-to-SMA(ATR) ratio falls within a productive range (0.8 to 1.6). Markets outside this range are either too compressed for trend signals or too expanded for reliable entries.
Session: Measures the current bar's position relative to the daily session midpoint. Bars in the lower half of the daily range carry a bullish session score; bars in the upper half carry a bearish score.
Higher Timeframe: Compares current close to a 50-period EMA on a user-selected higher timeframe via request.security() with lookahead disabled.
Delta Pressure: Tracks cumulative signed volume and detects when its moving average crossing direction aligns with price movement. A Pressure Score blending the volume delta ratio, volume rate, and bar body ratio is computed.
Fractal Efficiency: Computes the Fractal Efficiency Ratio — the ratio of the net directional price move to the total path length of individual bar changes. An FER above 0.60 in conjunction with ADX above 20 passes the efficiency gate.
// Fractal Efficiency Ratio
float ferNet = math.abs(close - close )
float ferPath = math.sum(math.abs(ta.change(close)), ferLen)
float ferVal = ferPath > 0.0 ? ferNet / ferPath : 0.0
2. Weighted Score Gating
The final bull and bear scores are compared against a minimum threshold (default: 70 of 100) and a minimum directional lead (default: bull must exceed bear by at least 20 points). Both conditions must hold simultaneously before a signal is considered.
bool longSignal = bull >= threshold and (bull - bear) >= scoreGap
and inSession and noiseGate and vwmaGate and stGate and ribbonGate
3. Optional Confirmation Gates
Five binary gates can be independently enabled or disabled: VWMA(200) price relationship, Supertrend direction, 8-line HMA ribbon direction, ADX minimum threshold (noise filter), and session time filter. Each gate is AND-logic — all enabled gates must pass before a signal fires.
4. Kaufman Adaptive Moving Average
The momentum pillar uses KAMA rather than a standard moving average. KAMA adjusts its smoothing constant based on the Efficiency Ratio of recent price movement, reacting quickly during trending phases and becoming nearly flat during choppy periods.
5. 8-Line HMA Gradient Ribbon
Visual context is provided by an 8-line Hull Moving Average ribbon (using every other increment for performance while retaining the full gradient effect). A normalization factor (ribbon spread divided by its 200-bar EMA, clamped to -1 to +1) drives a color gradient from the bear theme color to the bull theme color. The gradient reflects conviction intensity, not just direction.
6. Trade Block Visualization
When a signal fires, entry, stop, and up to four take-profit levels are plotted as horizontal lines and labeled at the right edge of the chart. Risk and reward zones are shown as translucent boxes. All drawn objects are updated every bar to extend rightward until closed.
Features
Nine-pillar weighted confluence scoring: Structure, Volume, Momentum, Liquidity, Volatility, Session, HTF Trend, Delta Pressure, and Fractal Efficiency each scored independently and summed
Configurable pillar weights: Each pillar's contribution to the total score is independently adjustable
Five optional binary gates: VWMA, Supertrend, HMA Ribbon, ADX noise filter, and session filter independently toggled
Threshold and directional lead gating: Score must exceed minimum AND directional lead must exceed gap before any signal fires
Extreme signal tier: Separate threshold for extreme confluence readings with distinct visual treatment
8-line HMA gradient ribbon: rFactor-normalized color gradient reflecting momentum spread intensity vs. its 200-bar historical average, with gradient fills between all adjacent ribbon lines
Gradient glow bar coloring: Glow color mode uses barcolor() to highlight signal bars in the bull or bear theme color; when disabled, falls back to RSI-intensity gradient bar coloring
Regime background tint: Subtle chart background tint on regime transitions, clearing after 10 bars
Four TP levels with live boxes and lines: TP1–TP4 plotted as gradient green lines and translucent boxes extending right in real time
Four stop modes: Supertrend, ATR cap, fixed percentage, pivot-based
Built-in backtest tracker: Win rate, expected value in R, and trade count
Four color themes: Phantom (cyan/magenta), Neon (teal/pink), Classic (green/red), Solar (orange/blue)
Institutional dashboard: 14-row table showing all nine pillar scores, signal state, and performance metrics
Non-repainting: All signals gated by barstate.isconfirmed; HTF request.security() uses lookahead=barmerge.lookahead_off
Input Parameters
Scoring Engine:
Min Score to Signal: Minimum composite score required (default: 70)
Extreme Score: Score for extreme tier (default: 90)
Min Directional Lead: Bull-bear gap required (default: 20)
Pillar Weights:
Individual weight sliders for each of the nine pillars (defaults sum toward 100)
Trend Gates:
VWMA Gate toggle and length (default: 200)
Supertrend Gate toggle, ATR length, multiplier
Ribbon Gate toggle, base length, step
ADX Noise Gate toggle and minimum ADX value
Signal Control:
Cooldown bars between signals (default: 5)
Session filter toggle and session string
Trade Levels:
Show Trade Block toggle
Stop mode: Supertrend / ATR Cap / Fixed % / Pivot
RR multiples for TP1, TP2, TP3, TP4 (defaults: 0.5, 1.0, 1.5, 2.0)
How to Use This Indicator
Step 1: Select a Theme and Configure Gate Sensitivity
Choose a color theme that suits your chart. Start with all five gates enabled and default weights. Observe signal frequency across several recent weeks of history.
Step 2: Interpret the Dashboard Score Rows
Each pillar row in the dashboard shows its current directional score in the stronger direction. A row colored in the bull theme means that pillar is contributing to bullish confluence. The Signal row shows the final output.
Step 3: Use Signals as Context, Not Directives
A signal fires when an unusual number of market dimensions agree. It does not predict how far price will move or guarantee a profitable outcome.
Step 4: Set Stop Mode Before Live Use
The Supertrend stop mode trails the stop with the Supertrend level. ATR Cap limits maximum stop distance. Fixed % uses a fixed percentage of price. Pivot uses the last confirmed structural pivot.
Step 5: Review Backtest Statistics Skeptically
The win rate and expected value displayed are calculated from signal history on the current chart only. They reflect past performance on historical data. Optimizing weights to maximize these numbers on a single chart produces overfitted results that will not generalize.
Indicator Limitations
Pivot-based pillars (Structure, Liquidity) confirm with a lookback offset — the structural event is labeled bars after it occurred. This is non-repainting behavior inherent to pivot detection
The Fractal Efficiency gate may delay signals following sharp, fast moves where path length temporarily normalizes
High pillar weights placed on a single pillar can effectively reduce this to a single-factor indicator. Weight distribution should be reasonably balanced
The session pillar score assumes intraday context. On daily and higher timeframes, it contributes a neutral fixed value
The backtest tracker embedded in this indicator does not account for slippage, commission, or partial fills. It is not a substitute for a properly configured strategy backtest
Enabling all gates simultaneously will produce very few signals. Tune gate selection to the market and timeframe being analyzed
Originality Statement
Prismatic Depth is original in its nine-pillar architecture and the specific combination of inputs it assembles. This publication is warranted because:
The Fractal Efficiency Ratio as a scoring pillar and gate condition — measuring the directional efficiency of price movement over a lookback, distinct from ADX — is not present in existing open-source Pine Script v6 publications as of this writing
Weighted pillar scoring where the user controls the relative contribution of each dimension, combined with both a score threshold and a directional lead gap as dual gatekeeping conditions, produces a more selective output than threshold-only systems
The Delta Pressure pillar — computing a composite of volume delta ratio, volume rate versus average, and candle body compression — is an original implementation distinct from standard OBV or CMF approaches
The combination of nine independently scored dimensions with five independently toggled binary confirmation gates in a single configurable framework, with a built-in per-signal performance tracker, is not replicated in existing open-source publications
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Confluence readings are based on historical price data and do not guarantee any future market outcome. Past win rate statistics shown by the built-in tracker do not predict future performance. Always apply proper risk management. The author accepts no responsibility for trading losses resulting from the use of this indicator.
Made with passion by jackofalltrades
Indicator
Squeeze Vector [Gabremoku]Squeeze Vector is a squeeze-based volatility breakout tool that combines Bollinger/Keltner compression detection, directional pressure flow, and a first-expansion state machine to help traders identify high-probability post-squeeze breakout setups.
The core idea is simple: compression precedes expansion. When Bollinger Bands shrink inside Keltner Channels, the market is coiling — and when that squeeze releases, the first directional signal can carry strong momentum. This script gives that process a structured visual and logical framework.
Core Concept — Squeeze → Release → Direction
A BB/KC squeeze occurs when Bollinger Bands, which reflect price volatility through standard deviation, contract inside Keltner Channels, which reflect typical range through ATR. This gap between the two envelopes is used as a proxy for volatility compression.
When BB width becomes smaller than KC width, the script identifies a Squeeze state. When it releases, the script enters an Armed state and opens a short post-squeeze window during which it looks for the first valid directional expansion.
Importantly, the squeeze release alone does not confirm direction. That is why the script adds multiple expansion confirmation filters before triggering a signal.
What it shows
Squeeze Vector Oscillator — a single line that rises as BB/KC compression increases. When it crosses above 50, the squeeze is active. The oscillator turns purple during squeeze states for fast visual identification.
Pressure Flow Histogram — a volume-weighted directional pressure value that reads where price closed within the candle range and weights it by volume relative to its moving average. Positive values indicate bullish pressure, negative values indicate bearish pressure.
Bollinger Overlay on Price — during squeeze states, the script renders Bollinger Bands directly on the main chart with gradient fills, making it easy to see where price is relative to the compressed structure.
LONG / SHORT signals — primary directional signals are placed on the main chart after a post-squeeze expansion bar meets all required conditions. Optional lighter repeat markers can be shown for follow-through confirmation.
Dashboard with live checklist — the on-chart dashboard shows the current state, regime, pressure, vector value, and a 6-point checklist for both long and short setups, with filled/empty circles to show how many conditions are currently met.
Signal Logic
The signal engine works as a state machine with three phases:
Squeeze — BB/KC compression is active. No signal is generated. The dashboard shows SQUEEZE.
Armed — the squeeze just released. The script opens a short expansion window and waits for directional confirmation. The dashboard shows ARMED.
Expansion signal — within the expansion window, if a valid directional bar forms with sufficient pressure, body size, and break condition, a LONG or SHORT label is placed on the main chart.
Signal direction is confirmed by checking:
Basis side: price above or below the BB basis
Pressure: smoothed directional pressure above threshold
Strong pressure: optional stronger filter
Body quality: minimum body-to-candle-range ratio
Break condition: higher high or lower low
Regime: optional EMA 200 trend filter
When both long and short conditions are simultaneously valid, the stronger pressure side wins. If pressure is equal, raw pressure bias decides.
States and Dashboard
The dashboard tracks the full machine at a glance:
Row Content
SQZ Squeeze ON / OFF
SEQ ARMED or READY
REG Trend regime (BULL / BEAR / OFF)
BIAS Current directional pressure bias
P Pressure Flow value
V Vector Oscillator value
Checklist 6-point LONG and SHORT condition matrix
The checklist can be set to appear only during Squeeze or Armed states to reduce visual noise when no setup is forming.
Features
✅ Bollinger/Keltner squeeze detection via ratio oscillator
✅ Volume-weighted directional pressure flow
✅ Post-squeeze first expansion state machine
✅ Armed → signal transition logic
✅ 6-point entry checklist for both long and short
✅ EMA 200 regime filter
✅ Bollinger overlay with gradient fill during squeeze
✅ LONG / SHORT signal labels on main chart
✅ Optional follow-through repeat markers
✅ Repeat window filter to suppress signal clustering
✅ Strategy mode: Long, Short, or Both
✅ Fully configurable dashboard with size and offset settings
✅ Alert conditions for BUY, SELL, and squeeze activation
How to use
A practical workflow:
Watch for the Vector Oscillator to cross above 50 and turn purple — that is the squeeze state.
When it releases below 50, the dashboard switches to ARMED.
In the expansion window, check the checklist: more filled circles on one side indicate stronger directional alignment.
A LONG or SHORT label confirms a valid first expansion signal.
Use the Pressure Flow histogram to gauge how strong and consistent the directional push is.
The squeeze release alone is not a signal. Direction is only confirmed when the expansion bar quality, pressure, and structure checks all align.
Notes
Like all squeeze-based tools, Squeeze Vector is most effective when used alongside price structure context. Squeezes release into strong moves, but not every release produces a sustained trend — volume, higher timeframe context, and support/resistance levels can all affect follow-through quality.
Author: Gabremoku
Pine Script v6 Indicator
Volatility Cluster Pressure [JOAT]Volatility Cluster Pressure
Introduction
Volatility Cluster Pressure tracks EWMA variance, realized volatility, vol-of-vol, jump intensity, compression, expansion, and unstable cluster states.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. EWMA Variance
A recursive lambda model emphasizes recent returns while retaining volatility memory.
2. Volatility Rank
EWMA volatility is ranked within a historical window.
3. Jump Intensity
Absolute return deviations identify abnormal movement relative to recent behavior.
4. Pressure Rails
Volatility and instability expand adaptive pressure rails around price.
ewmaVar := lambda * ewmaVar + (1 - lambda) * logRet * logRet
Features
EWMA/GARCH-style variance pressure
Volatility rank and vol-of-vol
Jump z-score
Compression, expansion, and unstable states
Adaptive pressure rails and HUD
Input Parameters
Cluster window and EWMA lambda
Cluster pressure and compression gates
Cooldown
Rails, candles, and HUD toggles
HUD position selector
How to Use This Script
Use VCP to understand volatility conditions before interpreting signals. Compression, expansion, and unstable states describe risk environment.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
VCP is original in combining recursive variance, vol rank, jump pressure, instability, and adaptive rails.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Black Merton Volatility Engine [JOAT]Black Merton Volatility Engine
Introduction
Black Merton Volatility Engine blends multiple realized-volatility estimators with expected-move rails, cone rank, jump pressure, and tail-state classification.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Composite Realized Volatility
Close-to-close, Parkinson, Garman-Klass, Rogers-Satchell, and Yang-Zhang-style estimates contribute to the volatility state.
2. Volatility Cone
Current volatility is ranked against a historical cone to identify squeeze and shock conditions.
3. Expected Move Rails
Annualized volatility is converted into a multi-day expected move around price.
4. Tail and Jump Pressure
Large returns, rail breaches, and volatility divergence contribute to tail and jump states.
expectedMove = close * realizedVol * math.sqrt(days / 252)
Features
Composite realized volatility
Expected-move rails
Squeeze and shock regimes
Gamma pin, tail shock, clean expansion, and jump labels
Movable quant HUD
Input Parameters
Fast, base, and slow vol windows
Vol cone window
Expected move days
Squeeze and shock percentiles
Cooldown and display toggles
How to Use This Script
Use the rails as volatility context. Squeeze, shock, tail, and jump states describe volatility conditions, not a certain direction.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
BMV is original in blending several volatility estimators, cone ranking, jump pressure, and expected-move visualization.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Veyra Delta Lens [JOAT]Veyra Delta Lens
Introduction
Veyra Delta Lens estimates delta pressure from OHLCV data and converts it into auction pressure, CVD z-score, participation entropy, absorption, and pressure-shift events.
This open-source indicator is designed as a context tool, not a standalone trading system. It focuses on explaining the current market state with restrained visuals and confirmed-bar logic where signals are used.
Core Concepts
1. Signed Volume Pressure
Candle close location and body impact estimate directional volume pressure.
2. CVD Normalization
Cumulative pressure is normalized so current pressure can be compared with recent history.
3. Participation Entropy
Volume concentration and close location distinguish balanced absorption from directional release.
4. Pressure Envelope
An auction mean and delta rails display pressure on the price chart.
delta = signedVolume * 0.65 + impactVolume * 0.35
Features
Estimated signed volume pressure
CVD z-score and impulse scoring
Absorption and divergence context
Auction mean and pressure rails
Sparse VX+ and VX- labels
Input Parameters
Delta smoothing and impulse memory
CVD normalization window
Participation entropy window
Event score and cooldown
Rails, trace, and candle toggles
How to Use This Script
Use VX+ and VX- labels as confirmed pressure shifts. Gold circles show absorption or divergence conditions aligned with the current regime.
Limitations
The script uses historical OHLCV data and cannot know future prices.
Signals and states can be late during fast reversals because confirmed-bar logic is used to reduce repainting.
Model outputs should be interpreted with market context, risk controls, and independent analysis.
No visual state should be treated as a certain trade outcome.
Originality Statement
Veyra is original in combining estimated delta, CVD normalization, entropy, auction rails, absorption, and divergence in one restrained overlay.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice, investment advice, or a recommendation to buy or sell any financial instrument. All calculations are derived from historical market data and may produce inaccurate readings in some market conditions. No indicator can predict future market behavior. Use proper risk management and independent judgment.
-Made with passion by jackofalltrades
Indicator
Veyra Shift Ledger [JOAT]Veyra Shift Ledger
Introduction
Veyra Shift Ledger is an open-source execution-context ledger that combines trend, pressure, structure, auction location, displacement, and volatility state. It also draws qualified supply and demand zones anchored to confirmed swing memory.
The indicator is designed to show when several independent context layers align, while keeping signals confirmed and visually organized.
Core Concepts
1. Trend and Regime
Fast, mid, and slow EMAs define trend alignment. ADX, RSI, MACD, and VWAP context contribute to directional quality.
2. Pressure Engine
Signed candle body, range location, and volume are used to estimate bid or ask pressure.
3. Auction Location
Weighted price and deviation bands identify premium, discount, and value conditions.
4. Structure and Displacement
Confirmed pivots define swing memory. BOS, sweeps, and FVG-style gaps contribute to the structure side of the ledger.
5. Supply and Demand Zones
Zones are created only when quality gates pass. Demand zones anchor around confirmed pivot lows and supply zones anchor around confirmed pivot highs, with ATR-scaled height.
Features
Long and short ledger scores: Combines trend, momentum, pressure, structure, auction, and HTF context
Confirmed HTF filter: Optional higher-timeframe EMA uses confirmed previous HTF data
Supply/demand zones: Anchored to confirmed swing memory and ATR-scaled
Zone lifecycle: Zones change appearance when mitigated or invalidated
Execution rails: Optional educational entry, stop, and target projections
Dashboard: Shows scores, pressure, auction, structure, volatility, HTF, and trigger state
Input Parameters
EMA lengths control trend memory
Pressure and auction inputs control volume/weighted-price calculations
Pivot confirmation controls structure sensitivity
Score thresholds control signal selectivity
Risk inputs control optional rail projection
How to Use This Indicator
Step 1: Compare ledger scores
The dashboard shows whether long or short context has stronger evidence.
Step 2: Inspect zones
Supply and demand zones are contextual areas, not certain turning points.
Step 3: Watch mitigation state
Zone color changes help distinguish active, mitigated, and invalidated areas.
Indicator Limitations
Supply and demand zones are approximations from chart data
Pivot confirmation creates natural delay
Pressure is candle-derived and not true order book data
Execution rails are educational projections only
Originality Statement
Veyra Shift Ledger combines a multi-factor score ledger with swing-anchored supply/demand zones, auction context, pressure state, displacement logic, and zone lifecycle visualization.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Zones and scores can fail in live markets.
-Made with passion by jackofalltrades
Indicator
Kairo Pressure Reversal [JOAT]Kairo Pressure Reversal
Introduction
Kairo Pressure Reversal is an open-source pressure-tensor study that maps how candle structure, volume, volatility stress, entropy, and pressure curvature interact. It is not a conventional POC or value-area script. Its purpose is to identify pressure shocks, curvature reversions, and compression states as market-context events.
Core Concepts
1. Pressure Atom
Each candle is converted into a signed pressure value using close location, body direction, wick balance, and volume.
pressureAtom = (signedRange * 0.42 + bodyImpulse * 0.42 + wickBalance * 0.16) * volume
2. Pressure Tensor
The pressure atom is normalized by recent absolute pressure and smoothed. This produces the main pressure tensor used throughout the indicator.
3. Curvature and Jerk
The script calculates pressure velocity, curvature, and jerk. These values show how quickly pressure is changing rather than simply whether pressure is positive or negative.
4. Entropy
Bid and ask energy are converted into an entropy score. Higher entropy means pressure is more balanced. Lower entropy means one side is more dominant.
5. Stress Bands
ATR and pressure stress expand or contract the tensor bands. Events occur when price and pressure move into stressed areas with sufficient curvature.
Features
Pressure tensor: Normalized pressure model derived from candle structure and volume
Curvature analysis: Tracks pressure velocity, curvature, and jerk
Entropy score: Measures bid/ask balance
Volatility stress rank: Uses ATR and range ranking to identify stressed conditions
Shock cells: Compact boxes mark bid shocks, ask shocks, and reversion events
Tensor bands: Adaptive bands visualize pressure expansion and stress
Dashboard: Shows tensor, stress, entropy, curvature, jerk, and current event state
Input Parameters
Tensor memory controls pressure normalization
Entropy memory controls bid/ask energy balance
Stress rank memory controls volatility ranking
Shock gate controls event sensitivity
Reversion gate controls curvature reversion sensitivity
How to Use This Indicator
Step 1: Read the tensor direction
Positive tensor values indicate bid-side pressure; negative values indicate ask-side pressure.
Step 2: Watch stress and entropy
High stress with low entropy suggests one-sided pressure. High entropy suggests balance or compression.
Step 3: Treat cells as context
Shock and reversion cells mark pressure events. They are not standalone trade recommendations.
Indicator Limitations
Volume-based pressure is an approximation from chart candles, not true order flow
Curvature events can occur during volatility spikes that do not continue
The indicator provides context, not certain reversal points
Originality Statement
Kairo Pressure Reversal is original in its combined use of candle-derived pressure, entropy, curvature, jerk, volatility stress, and compact event cells. It focuses on pressure behavior rather than standard oscillator thresholds.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Pressure events can fail or persist longer than expected. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indicator
Caldera Meridian Strategy [JOAT]Caldera Meridian Strategy
Introduction
Caldera Meridian Strategy is an open-source Pine Script v6 strategy that combines trend regime, pressure, structure, auction location, and transition probability into a single rules-based execution model. The strategy is designed to be transparent: each decision component is calculated directly inside the script, and entries are processed on confirmed bars.
This strategy is not intended to prove future profitability. It is a research framework for studying how multiple market-context filters interact with ATR-based risk and staged exits.
Core Concepts
1. Regime Filter
The strategy uses fast, mid, and slow EMAs to classify bullish, bearish, or neutral trend conditions. A confirmed higher-timeframe EMA can also be used as a directional filter.
trendBull = fast > mid and mid > slow and close > mid
trendBear = fast < mid and mid < slow and close < mid
2. Transition Probability
A simple rolling transition model estimates whether the current regime has recently persisted. This is used as a filter rather than a prediction.
3. Pressure and Auction Location
The strategy estimates bid/ask pressure from candle body position, range, and volume. It also tracks VWAP-style weighted price and value deviation bands to avoid entries in poor auction locations.
4. Structure Confirmation
Confirmed pivots are used to detect delayed structure breaks, sweeps, and displacement events. Pivot confirmation is non-repainting but naturally delayed.
5. ATR-Based Risk Management
Entries use ATR or structure-based stops. Exits are staged across TP1, TP2, and TP3 using configurable R multiples.
Features
Rules-based long and short logic: Combines trend, pressure, structure, auction, and probability filters
Confirmed-bar execution: Entry and risk-off logic uses closed-bar conditions
ATR and structure stops: Stops use volatility and recent structure references
Three staged exits: TP1, TP2, and TP3 use configurable R multiples and quantity percentages
Realistic default costs: Commission is set to 0.05% and slippage to 1 tick in the strategy declaration
Dashboard: Shows position state, scores, regime, continuation, pressure, auction, and risk-off status
Default Strategy Properties
Initial capital: 100,000
Commission: 0.05 percent
Slippage: 1 tick
Pyramiding: 0
Orders processed on close
How to Use This Strategy
Step 1: Use a clean chart
For publication and testing, use a standard chart type and avoid adding unrelated scripts to the chart.
Step 2: Review the dashboard
The dashboard explains why the strategy is flat, long, short, or in a risk-off state.
Step 3: Evaluate across markets
Do not judge a strategy from a small sample. Test across multiple symbols, timeframes, and market regimes.
Strategy Limitations
Backtest results do not imply future results
Pivot-based structure is confirmed only after the pivot length has passed
Costs and slippage may differ from live trading conditions
The model can underperform in choppy markets where filters repeatedly conflict
The strategy is a research framework and not a complete trading plan
Originality Statement
Caldera Meridian Strategy integrates multiple independent modules rather than relying on a single crossover or oscillator. Its usefulness comes from studying how regime, structure, pressure, auction location, and transition persistence interact before a trade is allowed.
Disclaimer
This strategy is provided for educational and informational purposes only. It is not financial advice. Trading involves risk of loss. Backtests are historical simulations and do not predict future performance. Always use proper risk management.
-Made with passion by jackofalltrades
Strategy
Pressure Reversal Engine [JOAT]Pressure Reversal Engine
Introduction
Pressure Reversal Engine is an open-source pressure and absorption indicator. It estimates buy and sell participation from candle location, body behavior, direction, and volume, then looks for cases where aggressive participation fails to produce continuation.
The script is designed for traders who want to identify absorption, pressure mismatch, reclaim/reject behavior, and stacked imbalance areas without relying on true bid/ask data.
Core Concepts
1. Estimated Buy/Sell Pressure
The pressure model uses close position within the candle, candle body, direction, and volume. This creates a deterministic approximation that works on symbols where true bid/ask volume is not available.
2. Absorption Detection
Absorption is identified when strong estimated pressure fails to move price in the expected direction. Demand absorption and supply absorption are tracked separately.
3. Pressure Profile
A rolling profile divides the recent price range into rows and estimates where buy and sell pressure accumulated. The profile highlights skew, POC, value area, and imbalance zones.
4. Reclaim and Reject Logic
Swing references help identify whether price reclaimed a prior level or rejected from it. These events can combine with pressure mismatch to create long or short setup states.
5. Stacked Pressure Clusters
Consecutive bars with strong pressure and volume expansion create cluster boxes. These show areas where participation repeatedly appeared.
Features
Buy/sell pressure estimation: Uses candle anatomy and volume to approximate directional participation.
Absorption states: Detects when demand or supply fails to follow through.
Rolling pressure profile: Displays POC, value area, and pressure skew.
Stacked pressure boxes: Highlights repeated pressure bursts over several bars.
EMA regime filter: Optional trend filter for long and short setups.
Entry and exit state zones: Shows confirmed pressure reversal and risk-off states.
ATR stop/target rails: Uses volatility-adjusted projections for setup review.
Pressure candle coloring: Bars can reflect active pressure state.
Dashboard: Shows pressure state, profile skew, POC, value area, absorption, regime, volume, and stack status.
Alerts: Long setup, short setup, long exit, short exit, demand absorption, and supply absorption.
Input Parameters
Core: Pressure Profile Lookback, Profile Rows, Pressure Gate, Value Area.
Signals: Entry / Exit State Zones, EMA Regime Filter, Fast EMA, Slow EMA, Swing Left, Swing Right, Projection Bars, Signal Cooldown Bars, Stored Trade Plans.
Cluster, Risk, and Visuals: Stacked Pressure Boxes, Minimum Stack Bars, Stack Volume Boost, ATR Stop, Target 1 ATR, Target 2 ATR, Right Pressure Profile, Pressure Candle Color, Dashboard, Profile Right Offset.
How to Use This Indicator
Step 1: Read the pressure state
Use the dashboard to see whether bid pressure, ask pressure, absorption, or idle conditions dominate.
Step 2: Watch for failed participation
The strongest reversal information appears when pressure is high but price fails to continue in that pressure direction.
Step 3: Use value area and POC as context
Reversals near the pressure POC or value area edge can have different meaning than signals in empty areas.
Indicator Limitations
Pressure is estimated from candle and volume data; it is not true exchange order flow.
Rolling profiles are approximations and depend on lookback and row settings.
Signals can be delayed by confirmed-bar logic.
Markets with poor volume data can reduce profile usefulness.
Originality Statement
Pressure Reversal Engine is original in the way it combines candle-derived pressure, rolling pressure profile rows, absorption logic, reclaim/reject behavior, stacked pressure clusters, and ATR risk projections into one open-source Pine Script v6 tool.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice or a recommendation to trade. Estimated pressure can be wrong, and all signals can fail. Use proper risk management.
Made with passion by jackofalltrades
Indicator
Apex Execution Ledger [JOAT]Apex Execution Ledger
Introduction
Apex Execution Ledger is an open-source confluence and execution-planning indicator. It scores trend, volatility, VWAP location, pressure, CVD behavior, wick rejection, structure sweeps, and a compact transition model before drawing a confirmed long or short plan.
The script is designed to wait until several independent conditions agree. It then displays entry, stop, TP1, and TP2 reference zones using ATR-based risk. Signals are close-confirmed by default so the plotted setup is based on completed bar information.
Core Concepts
1. Multi-Factor Setup Scoring
Long and short scores are built from EMA trend, VWAP side, ATR activity, DMI direction, RSI/momentum, volume expansion, pressure delta, CVD alignment, auction premium/discount, wick rejection, structure sweeps, and expansion break behavior. No single condition controls the signal by itself.
2. Auction and Pressure Context
The script estimates buy and sell pressure from candle anatomy and volume, then compares that pressure to VWAP and ATR deviation bands. This helps identify discount reclaims and premium rejects.
3. Structure Sweep Memory
Sweep zones are created when price probes beyond recent structure and rejects. These zones remain on the chart as recent liquidity-memory references.
4. Close-Confirmed Execution Plans
Confirmed long and short states draw entry, stop, TP1, and TP2 levels from the confirmed bar and current ATR.
Features
Long and short confluence scores: Directional quality is scored from trend, pressure, volatility, structure, and location.
Confirmed-bar signals: Signals can require completed bars for non-repainting references.
ATR trade projection: Entry, stop, TP1, and TP2 adapt to current volatility.
VWAP deviation field: Frames auction premium and discount areas.
Sweep memory zones: Shows recent bullish and bearish liquidity events.
Candle coloring: Bars can be tinted by active directional pressure and score state.
Operating presets: Scalping, Intraday, Swing, Low-Noise, and Visual Showcase.
Dashboard: Summarizes active side, long score, short score, pressure, volatility, and transition state.
Alerts: Long setup, short setup, sweep memory, discount reclaim, premium reject, and pressure expansion.
Input Parameters
Core: Operating Preset, Fast EMA, Slow EMA, RSI Length, Volume Baseline, Structure Sweep Window.
Risk and Signals: ATR Length, Minimum ATR %, Stop ATR Multiple, Target 1 ATR Multiple, Target 2 ATR Multiple, Setup Score Threshold, Signal Cooldown Bars, Require Trend Agreement, Require Volume Expansion, Confirmed-Bar Signals.
Visuals: Color Candles, Show Trend Cloud, Show VWAP Deviation Field, Show Sweep Memory Zones, Show Trade Projection, Show Dashboard, Glow Transparency.
How to Use This Indicator
Step 1: Read the active score state
Compare long score versus short score in the dashboard. A setup matters most when one side clears the threshold and separates from the other side.
Step 2: Check location
Evaluate whether the setup is near VWAP, discount, premium, or a recent sweep memory zone.
Step 3: Use the execution box as a plan
The plotted entry, stop, TP1, and TP2 levels are reference zones for review and risk planning, not automatic trade instructions.
Indicator Limitations
Pressure and CVD are estimated from candle and volume behavior; they are not exchange-level bid/ask delta.
Confirmed mode waits for the candle close before displaying a signal.
ATR projections do not account for spread, slippage, or liquidity.
Low-volume or synthetic symbols may produce weaker pressure readings.
Originality Statement
Apex Execution Ledger is original in its combination of weighted execution scoring, auction-location logic, sweep memory, pressure delta, CVD alignment, transition context, and ATR projection inside one open-source Pine Script v6 study. The components work together so trend defines permission, pressure evaluates participation, sweep memory adds location, and ATR structures risk.
Disclaimer
This script is provided for educational and informational purposes only. It is not financial advice and does not recommend buying or selling any instrument. Markets involve risk, and historical calculations can fail in future conditions. Always use independent judgment and proper risk management.
Made with passion by jackofalltrades
Indicator
Trend Energy Divergence [JOAT]Trend Energy Divergence
Introduction
TED Trend Energy Divergence is an open-source oscillator that measures trend energy from EMA spread, linear-regression slope, projected support/resistance pressure, confirmed structure, and pivot divergence.
The indicator is built for trend-quality context. It shows whether the current move has internal energy, whether structure agrees with that energy, and whether confirmed divergence is appearing against it.
Core Concepts
1. Normalized EMA Spread
Fast and slow EMA spread is normalized by ATR so the oscillator adapts across symbols and timeframes.
2. Slope Pressure
Linear-regression slope contributes directional pressure to the energy model.
3. Projected Support and Resistance
Confirmed pivots build simple projected support and resistance references. Closing beyond those projections adds break pressure.
4. Confirmed Divergence
Pivot highs and lows are compared with oscillator values at the pivot offset to identify bullish or bearish divergence.
5. Energy Signal Line
Trend energy is smoothed and compared with a signal line to show positive or negative shifts.
Features
ATR-normalized energy: Adapts the oscillator to volatility
EMA and slope model: Blends trend spread and regression pressure
Structure-aware pressure: Adds support/resistance break pressure
Confirmed divergence: Uses confirmed pivots and offset oscillator values
Regime dashboard: Shows trend, expansion, or balance context
Projected levels: Displays pane-level support and resistance projections
Alerts: Includes bull shift, bear shift, and divergence confirmations
Input Parameters
Trend Engine:
Fast EMA
Slow EMA
Signal Smoothing
Energy Smoothing
ATR Length
Slope Length
Structure:
Pivot Left and Pivot Right
Structure Lookback
ADX/DMI Trend Threshold
How to Use
Step 1: Read the oscillator relative to the zero line and signal line.
Step 2: Treat upper/lower confirmation bands as higher-conviction energy zones.
Step 3: Watch divergence states as early warnings that the current move may be losing quality.
Step 4: Use the dashboard to confirm whether the environment is Trend, Expansion, or Balance.
Limitations
Divergence confirms after pivots confirm, so it is intentionally delayed
Oscillators can remain extended during strong trends
Projected support/resistance is model-based, not a guaranteed reaction point
The indicator is not a complete trade management system
Originality Statement
TED is an original JOAT oscillator combining ATR-normalized trend spread, slope, projected structure pressure, and confirmed divergence into one Pine Script v6 energy model.
Disclaimer
This script is for educational and informational purposes only. It is not financial advice and does not guarantee future results. Trading involves risk, and users should apply their own risk management.
Made with passion by jackofalltrades
Indicator
Indicator
Regime Execution Strategy [JOAT]Regime Execution Strategy
Introduction
Regime Execution Strategy is an open-source PulseWire strategy that integrates adaptive forecast context, extreme-channel state, trend pressure, relative volume, and EMA structure into a single rule-based execution model. The strategy is designed to be realistic, non-repainting, and readable rather than curve-fit to one symbol.
The problem it solves is trade filtering. A single signal source can trigger too often in poor conditions. Regime Execution Strategy requires multiple independent votes before entries are allowed, then uses ATR-based stop and target logic for consistent risk framing.
Core Concepts
1. Adaptive Forecast Bias
The strategy estimates a dynamic mean and band structure. Price above or below the adaptive mean contributes to directional bias.
2. Extreme Channel Bias
Persistent upper and lower channel levels define a midpoint and directional state. The channel contributes a second independent vote.
3. Pressure and Structure Gate
Momentum, pullback location, and fast/slow EMA structure contribute to the regime score. A minimum vote count and relative-volume filter are required before entry.
longSignal = barstate.isconfirmed and bullVotes >= voteThreshold and bullRegime and (longBreakout or longReclaim)
4. ATR-Based Risk Management
Stops and targets are derived from ATR and position average price. The strategy also includes max drawdown and max intraday filled order risk controls.
Features
Integrated regime detection: Forecast, channel, pressure, and EMA structure combine into a regime score
Multi-vote entry logic: Entries require several independent components to align
More active defaults: Default RVOL and regime thresholds are permissive enough to participate across many timeframes
ATR stop and target: Risk is framed with volatility-adjusted exits
Bias-flip exits: Positions can close when the opposing regime gains enough votes
Risk controls: Max drawdown and max intraday filled orders are included
Overlay visuals: Forecast bands and adaptive channel context can be displayed on chart
Top-right dashboard: Regime, score, pressure, RVOL, votes, position, band width, and setup
Alerts: Long and short setup events
Input Parameters
Forecast:
Source, Forgetting Factor, Regression Horizon, Band Multiplier, ATR Blend, and Rebase Interval
Regime:
Fast EMA and Slow EMA: Trend structure references
Pressure Length: Momentum and pullback window
Pressure Threshold: Minimum pressure vote threshold
Min RVOL: Participation filter
Min Votes: Minimum number of aligned components for entries
Risk:
Stop ATR: Stop distance multiplier
Target ATR: Target distance multiplier
Max Drawdown %: Strategy risk halt setting
Max Intraday Filled Orders: Limits daily trade frequency
How to Use This Strategy
Step 1: Read the dashboard regime before judging entries.
Step 2: Use votes and pressure to understand why a setup qualified.
Step 3: Review stop and target settings for the symbol and timeframe being tested.
Step 4: Evaluate results across multiple markets and date ranges, not one optimized window.
Strategy Limitations
This strategy is not optimized for a specific symbol or timeframe
More active defaults can increase trade count and also increase exposure to choppy periods
Backtest fills are simulated by PulseWire and may not match live execution
All entry signals use confirmed-bar logic, so entries can occur after the intrabar move has begun
Strategy performance should be evaluated with realistic commission, slippage, and position sizing
Originality Statement
Regime Execution Strategy is original in its integration of adaptive forecast bias, extreme-channel state, pressure voting, relative volume gating, EMA structure, ATR exits, and dashboard reporting into one open-source strategy. It does not copy third-party source code.
Disclaimer
This open-source strategy is for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Backtested results do not predict future performance. Trading involves substantial risk, and users are responsible for their own risk management.
-Made with passion by jackofalltrades
Strategy
Kivra Liquidity Nodes [JOAT]Kivra Liquidity Nodes
Introduction
Kivra Liquidity Nodes is an open-source right-edge volume profile that finds high-participation price areas inside a configurable lookback window. It distributes each bar's volume across price rows, smooths the result, highlights the point of control, and labels local liquidity nodes.
The problem it solves is volume context. A raw profile can show where trading occurred, but it often becomes visually heavy. Kivra Liquidity Nodes keeps the profile compact, separates bullish and bearish participation estimates, and prioritizes POC, value area, and node labels. The profile is offset to the right of price, while the lookback range and value area remain visible on the active chart so the levels have context.
Core Concepts
1. Price-Overlap Volume Allocation
Each bar contributes volume to every row it overlaps. This makes the profile more representative than assigning all volume to a single close price.
2. Participation Split
The script estimates bullish and bearish participation from candle direction and close location inside the bar range. This is a proxy designed for visual context, not bid/ask delta.
3. Smoothed Node Detection
Profile rows are smoothed with neighboring rows. Local peaks above an average-volume threshold become liquidity nodes.
4. Value Area Expansion
The value area expands from the POC until the selected portion of total profile volume is covered.
5. Context Bands and Candle Tinting
The script shades the full lookback range, marks the value area across the live price region, draws node bands across the profiled window, prints VAH/VAL and POC labels far to the right of the profile to avoid overlap, and can tint candles using a pressure blend from trend location and candle direction.
Features
Right-edge profile: Clean horizontal profile projected to the right of the chart
POC line and label: Dashed level marking the highest-volume row
POC line and label: Dashed level marking the highest-volume row with price and row volume
VAH and VAL labels: Right-edge value-area high and low labels with dotted guide lines
Value area boxes: Shaded profile zone plus live-chart value band across the lookback
Lookback range box: Subtle range boundary around the profiled window
Bull/bear split bars: Row coloring estimates directional participation
Node labels: Local high-volume nodes with participation share and volume
Node bands: High-participation node rows project back across the profiled price window
Offset label rail: POC, VAH/VAL, and node labels are projected beyond the histogram so they do not sit on top of the profile
Pressure candle tint: Candles can be softly colored from bearish red to bullish green using trend location and candle direction
No-volume fallback: Uses range proxy when reliable volume is not available
Top-right dashboard: POC, node count, value area width, bias, range, and source
Input Parameters
Calculation:
Lookback Bars: Historical bars used for the profile
Profile Rows: Vertical resolution of the profile
Profile Width: Maximum right-edge width
Profile Offset: Distance from current bar to the profile
Value Area Portion: Portion of total profile volume included in value area
Node Threshold: Required row strength for node detection
Node Merge Gap: Distance allowed between merged node peaks
Max Node Labels: Maximum labels drawn for detected nodes
How to Use This Indicator
Step 1: Use the POC as the dominant participation level in the current lookback.
Step 2: Use the value area to understand where volume is concentrated.
Step 3: Watch VAH and VAL as acceptance/rejection boundaries.
Step 4: Watch labeled nodes as potential reaction or acceptance zones.
Step 5: Read the dashboard bias and candle tint as context, not as standalone entry signals.
Indicator Limitations
Bull/bear participation is an estimate based on candle structure, not exchange bid/ask data
The profile is recalculated on the latest bar and depends on the selected lookback
High node count can add visual density on small screens
Volume data quality varies by market and symbol
Originality Statement
Kivra Liquidity Nodes is original in its compact right-edge implementation combining overlap-based volume allocation, smoothed node detection, value area expansion, participation split visualization, and no-volume fallback logic. It does not copy third-party source code.
Disclaimer
This open-source indicator is provided for educational and informational purposes only. It is not financial advice. Volume nodes identify historical participation zones and do not guarantee future reactions.
-Made with passion by jackofalltrades
Indicator
Aureon Pressure Lens [JOAT]Aureon Pressure Lens
Introduction
Aureon Pressure Lens is an open-source pressure oscillator designed to classify directional participation, conviction, and transition states in a separate pane. It blends price impulse, EMA structure, momentum, range location, candle body pressure, and relative volume into one bounded score.
The problem it solves is signal quality. A single oscillator can fire during weak, low-participation moves. Aureon Pressure Lens requires pressure, signal-line behavior, relative volume, and component consensus to align before confirmed buy or sell labels appear.
Core Concepts
1. Multi-Component Pressure Blend
The oscillator uses several independent inputs: impulse from prior price, fast/slow structural slope, normalized momentum, range position, and candle body direction.
2. Tanh Normalization
Each component is normalized into a stable bounded range so one volatile input does not dominate the entire reading.
pressureScore = f_tanh(pressureBlend * 1.60) * 100.0
signalLine = ta.ema(pressureScore, signalLength)
3. Consensus Filter
The confidence reading measures how closely the components agree. A signal must satisfy the minimum conviction threshold before it can print.
4. Relative Volume Participation
The script measures current volume against a moving average and uses that reading as a participation gate. The default is permissive enough for broad use while still filtering extremely quiet conditions.
Features
Separate-pane pressure score: Bounded -100 to +100 directional pressure reading
Signal line: Smoothed reference for pressure resets and crossovers
Gradient pressure color: Score color transitions between bearish, neutral, and bullish states
Pressure cloud: Optional fill between pressure and signal line
Confirmed BUY/SELL labels: Closed-bar events filtered by consensus and RVOL
Top-right dashboard: State, bias, pressure, signal, RVOL/conviction, and action
Alerts: Bullish and bearish confirmed pressure resets
Input Parameters
Calculation:
Core Lookback: Main analysis window for impulse and range context
Fast Lens / Slow Lens: EMA structure lengths
Signal Lens: Smoothing length for the signal line
Pressure Sensitivity: Normalization intensity
Min Relative Volume: Participation gate for labels
Min Conviction: Minimum component agreement required for labels
How to Use This Indicator
Step 1: Read the pressure score relative to zero.
Step 2: Use the cloud and signal line to identify pressure resets.
Step 3: Check dashboard conviction and RVOL before acting on labels.
Step 4: Combine with an overlay structure or regime tool for full chart context.
Indicator Limitations
The oscillator measures current pressure, not future price direction
Relative volume can behave differently on symbols with limited volume data
Choppy markets can create repeated signal-line crosses
Confirmed labels appear only after the bar closes
Originality Statement
Aureon Pressure Lens is original because it combines impulse, structure, momentum, range position, candle body pressure, relative volume, and component consensus into a single closed-bar pressure engine with a dedicated dashboard. It does not copy third-party source code.
Disclaimer
This open-source indicator is for educational and informational purposes only. It is not financial advice. Markets can change quickly, and no pressure reading guarantees a future move. Use risk controls and independent analysis.
-Made with passion by jackofalltrades
Indicator
Aureate Market Architecture Strategy [JOAT]Aureate Market Architecture Strategy
Introduction
Aureate Market Architecture Strategy is an open-source PulseWire strategy that integrates regime classification, structure bias, breakout pressure, liquidity confirmation, and risk management into one confirmed-bar execution model.
The strategy is built for users who want a rules-based implementation of the broader JOAT architecture rather than a single-indicator signal stream.
Its design goal is not to maximize trade count.
Its design goal is to trade only when multiple independent conditions agree:
the market is in an expansion-permitted regime
structure bias supports direction
pressure is strong enough to justify participation
liquidity context confirms the move
risk and daily drawdown constraints allow a new position
This produces a strategy that is intentionally selective and explicitly non-repainting.
Core Concepts
1. Regime Detection
The strategy classifies the market into accumulation, expansion, or exhaustion using ATR behavior, balance width, and normalized breakout pressure.
A persistence requirement prevents the regime state from flipping too quickly.
2. Structure Bias Filter
Directional participation is gated by confirmed medium-term structural breaks, EMA orientation, and price location relative to the fast EMA.
An optional higher-timeframe bias filter can be added using completed higher-timeframe candles only.
3. Pressure Confirmation
Breakout pressure is derived from a composite of multiple ROC windows and smoothed into an adaptive signal.
The strategy does not permit entries unless that signal exceeds its volatility-adjusted threshold.
4. Liquidity Context
The strategy estimates upper and lower liquidity anchors, counts relative touch density, and looks for sweep failure behavior to confirm whether the current move has supportive liquidity context.
5. Risk and Exit Stack
Every position uses an initial stop, a take-profit target based on risk multiple, an adaptive trailing component, a daily loss lockout, and a cooldown after exit.
Features
Three-state regime engine: accumulation, expansion, and exhaustion
Persistence logic: regime changes require confirmation across multiple bars
Structure bias filter: confirmed BOS logic combined with EMA alignment
Optional HTF bias filter: completed higher-timeframe candles only
Adaptive breakout pressure: multi-window ROC model normalized by its own volatility
Liquidity confirmation: anchor touches, sweep failures, and relative-volume support
Long and short entry logic: both directions use the same confirmed-bar architecture
Risk management: ATR-based initial stop, target, trailing logic, and daily loss control
Cooldown control: prevents immediate re-entry after an exit
Dashboard and chart overlays: display current state, active bias, and risk context
Default Strategy Properties
Initial Capital: 100000
Order Size: 10% of equity
Commission Model: Percent
Commission Value: 0.01
Pyramiding: 0
Calc On Order Fills: enabled
Calc On Every Tick: disabled
Input Parameters
Regime Engine
Regime ATR Length
Regime Baseline Length
Balance Window
Accumulation Volatility Threshold
Expansion Volatility Threshold
Regime Persistence Bars
Structure Bias
Short Pivot
Medium Pivot
Fast EMA
Slow EMA
Use Confirmed HTF Bias Filter
HTF Bias Timeframe
Breakout Pressure
Fast ROC
Medium ROC
Slow ROC
Macro ROC
Pressure Smoothing
Pressure Threshold Multiplier
Liquidity Context
Liquidity Window
Sweep Depth ATR
Relative Volume Floor
Risk Management
Initial Stop ATR
Take Profit R Multiple
Trail ATR Multiple
Daily Lockout %
Cooldown Bars After Exit
How to Use This Strategy
Step 1: Treat the Regime as the First Gate
The strategy only wants to be active in the expansion state.
If the dashboard shows accumulation or exhaustion, the system is designed to be more selective or inactive.
Step 2: Check Directional Alignment
The cleanest trades occur when structure bias, EMA alignment, pressure, and liquidity all support the same side.
Step 3: Respect the Risk Model
The stop, target, trail, and daily lockout are part of the strategy logic.
They should not be ignored when evaluating results.
Step 4: Expect Selectivity
This strategy is built to filter aggressively.
Users looking for frequent trades may need different settings or a different methodology.
Step 5: Evaluate Over Enough Trades
No strategy should be judged from a very small sample.
Assess it across enough market conditions to understand where the architecture performs well and where it degrades.
Strategy Limitations
This strategy uses chart-derived liquidity and regime approximations rather than exchange microstructure data
Selective filters can reduce trade frequency substantially on some instruments and timeframes
Backtest results depend on instrument, timeframe, commission, slippage assumptions, and session behavior
Non-repainting logic reduces false signals but can also introduce later entries than predictive systems
Originality Statement
Aureate Market Architecture Strategy is original in the way it integrates regime state, structural confirmation, normalized pressure, liquidity context, and layered risk controls into one coherent execution model.
The purpose of the integration is practical: each component addresses a different failure mode that appears when breakout systems rely on only one dimension of evidence.
Disclaimer
This strategy is provided for educational and informational purposes only.
It is not financial advice and does not guarantee profitability.
Backtest outcomes are hypothetical and derived from historical data.
Live trading includes slippage, execution variance, and market conditions that can differ materially from historical results.
Strategy
