GS Univsersal## GS Universal — Trading System Indicator
**GS Universal** is a clean, multi-layer TradingView indicator designed to help traders read market structure, trend quality, momentum, volatility, and signal strength in one organized chart system.
The goal of GS Universal is not to overload the chart with too many indicators, but to combine the most important trading conditions into a clear visual decision framework. It is built for traders who want a structured way to identify possible buy zones, warning areas, exit signals, and trend continuation setups.
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## Core Purpose
GS Universal helps traders answer five key questions:
1. **Is the stock trending or ranging?**
2. **Is momentum improving or weakening?**
3. **Is volume supporting the move?**
4. **Is price extended or still healthy?**
5. **Is the signal strong enough to act on, wait, or avoid?**
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## Main Features
* **Buy / Warning / Exit signal system**
* **A/B/C signal grading for easier decision-making**
* **EMA trend structure and EMA crossover logic**
* **Bollinger Bands for volatility and extension reading**
* **RSI momentum and overextension filter**
* **MACD momentum confirmation**
* **Volume and relative volume participation filter**
* **ATR-based risk and volatility awareness**
* **Dynamic trailing stop guidance**
* **Dashboard summary for quick interpretation**
* **Beginner / Professional terminology switch**
* **Clean chart layout with controlled labels**
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## Signal Logic
GS Universal evaluates price using multiple confirmation layers:
### Trend Structure
The indicator checks whether price is above or below key moving averages and whether the short-term trend is aligned with the broader structure.
### Momentum
RSI and MACD are used to measure whether the move has strength, acceleration, or early weakness.
### Volume Confirmation
Volume and relative volume help confirm whether buyers are truly participating in the move or whether the signal is weak.
### Volatility and Extension
Bollinger Bands and ATR help identify whether price is expanding from compression, becoming overextended, or entering a risky zone.
### Signal Quality
Signals are graded to make interpretation easier:
* **A Signal** = Stronger setup with better alignment
* **B Signal** = Acceptable setup but needs caution
* **C Signal** = Weak or early signal, usually requires confirmation
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## How to Use
GS Universal is designed as a decision-support tool.
A trader can use it to:
* Identify potential entry zones
* Confirm whether a breakout has strength
* Monitor whether an existing trade is still healthy
* Spot warning signs before momentum fails
* Use trailing stop guidance for trade management
* Avoid chasing overextended moves
The indicator works best when combined with support and resistance, market context, risk management, and personal trading rules.
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## Important Notes
GS Universal is not a guaranteed buy or sell system.
It is an analytical framework that organizes trend, momentum, volume, and volatility conditions into clearer visual signals.
All signals should be used with proper risk management. Traders should always define their entry, stop-loss, position size, and exit plan before taking any trade.
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## Disclaimer
This indicator is provided for educational and informational purposes only. It does not provide financial advice, investment recommendations, or guaranteed trading results. Trading involves risk, and users are responsible for their own trading decisions.
Индикатор
Miner Profitability Index | Astral Vision Miner Profitability Index | Astral Vision 🌠💠
This indicator constructs a measure of Bitcoin miner profitability per unit of mining difficulty, then applies Z-Score normalization in log space to quantify how statistically extreme current profitability conditions are relative to their own history. Miner profitability is a structurally important on-chain signal because miners are one of the few participants with predictable and measurable cost structures: when profitability collapses, miners are forced to sell reserves to cover operational costs, creating persistent sell pressure; when profitability is exceptionally high, miners tend to accumulate and expand capacity, which historically precedes periods of increased hash rate and eventually difficulty adjustment that compresses margins back toward equilibrium.
Calculation ⚙️
The daily miner revenue in USD is computed from three components: the number of blocks mined that day (computed as the difference between consecutive daily block height readings from Glassnode), the block subsidy in BTC (derived from the block height using the halving schedule: 50 BTC before block 210,000, halving at each subsequent 210,000-block interval), and the current Bitcoin price in USD. The formula is: miner revenue = blocks per day × block reward × BTC price.
This revenue figure is then divided by the current mining difficulty to produce the efficiency ratio: miner revenue / difficulty. Difficulty represents the computational work required to mine a block and serves as a proxy for the aggregate energy and capital expenditure of the mining network. Dividing revenue by difficulty produces a measure of how many dollars miners earn per unit of computational difficulty, normalizing for the expanding size of the mining network over time. Without this normalization, absolute revenue would grow indefinitely simply due to price appreciation and hash rate expansion, making historical comparisons meaningless.
The efficiency ratio is smoothed with a configurable EMA to reduce the noise introduced by day-to-day variation in block count. The natural logarithm is then taken before applying the Z-Score, which is necessary because the efficiency ratio follows an approximately log-normal distribution: in raw space it would be heavily right-skewed, making the standard deviation an unreliable measure of typical deviation. In log space the distribution is much more symmetric and the Z-Score thresholds carry consistent statistical meaning across all periods.
The Z-Score is computed as: (log(efficiency) - SMA(log(efficiency), N)) / StDev(log(efficiency), N), where N is the configurable lookback window. This expresses how many standard deviations the current log-efficiency sits above or below its rolling historical mean. Two pairs of thresholds define moderate and severe extreme zones on each side.
Plots 📊
Z-Score oscillator colored by zone: two upper levels and two lower levels with graduated opacity
Two upper and two lower threshold lines
Zero midline
Fill highlights when Z-Score is beyond the outer thresholds
Static zone fills between inner and outer thresholds on both sides
Background color on the price chart with four gradient levels reflecting zone severity
Inputs 🎛️
Z-Score Lookback: rolling window for mean and standard deviation normalization
Smoothing: EMA period applied to the raw efficiency ratio before log transformation
Upper Z 1 and Upper Z 2: configurable inner and outer upper threshold levels
Lower Z 1 and Lower Z 2: configurable inner and outer lower threshold levels
Colors 🎨
5 Astral Vision presets + custom override. Default: Futura.
Purpose 🎯
Standard miner revenue charts display absolute USD earnings, which grow indefinitely with price and provide no statistical context for whether current conditions are extreme or normal. Dividing by difficulty removes the network size effect, and normalizing with a Z-Score in log space makes readings directly comparable across all market cycles including early periods when absolute revenue was tiny. The dual threshold system separates mild deviations from statistically severe conditions, providing a more granular signal than a single overbought/oversold level.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Индикатор
Whale Accumulation Index | Astral Vision Whale Accumulation Index | Astral Vision 🌠💠
This indicator tracks the proportion of Bitcoin's total on-chain transaction volume attributable to large transactions, using CoinMetrics data to separate whale-scale activity from retail-scale activity, then applies two different analytical lenses to that ratio to identify when large holders are accumulating or distributing at statistically unusual rates.
Calculation ⚙️
The base input is the ratio of large transaction volume to total transaction volume in USD, both fetched from CoinMetrics on a daily timeframe. Large transaction volume measures the aggregate USD value of all on-chain transactions above a defined size threshold, while total transaction volume covers all on-chain activity. Dividing the two produces a ratio between 0 and 1 that measures what fraction of all Bitcoin moved on-chain each day was moved by large participants. A rising ratio means whale activity is growing as a share of total network flow; a falling ratio means retail activity is proportionally dominant. This ratio is smoothed with a configurable SMA before all subsequent calculations.
The indicator offers two modes that address different analytical questions.
Z-Score mode normalizes the smoothed ratio against its own rolling mean and standard deviation over a configurable lookback window. The formula is: Z = (ratio - mean(ratio, N)) / stdev(ratio, N). This produces a reading that measures how statistically unusual the current whale dominance level is relative to its own history. A positive Z-Score means whale share of volume is elevated above its historical norm; a negative Z-Score means it is depressed. The thresholds mark the statistically extreme zones where readings have historically been rare.
Conviction mode computes a divergence signal between whale momentum and price momentum. For each series, the rate of change over a configurable lookback is computed as (current - past) / abs(past), producing a proportional momentum measure. Both the price ROC and the whale ratio ROC are then independently Z-Score normalized, and the conviction signal is the difference: whale Z-Score minus price Z-Score. A positive conviction reading means whale activity is accelerating faster than price, historically associated with accumulation ahead of price moves. A negative reading means price is running ahead of whale activity, historically associated with distribution or weak institutional participation in the current price move.
Plots 📊
Main oscillator in Z-Score or Conviction mode, colored by threshold zone
Overbought and oversold threshold lines
Fill highlight when oscillator enters either extreme zone
Background color on the price chart when oscillator is in extreme zones
Inputs 🎛️
Mode: Z-Score or Conviction
OB Threshold Z-Score and Conviction: configurable upper extreme levels per mode
OS Threshold Z-Score and Conviction: configurable lower extreme levels per mode
Z-Score Window: normalization lookback for both modes
Smoothing: SMA period applied to the raw whale ratio before calculations
Conviction ROC Length: lookback for the rate of change in Conviction mode
Colors 🎨
5 Astral Vision presets + custom override. Default: Inferno.
Purpose 🎯
Standard volume indicators measure total on-chain or exchange volume without distinguishing between the size of individual transactions, treating a single $100 million transfer the same as ten thousand $10,000 transfers in aggregate volume terms. This indicator isolates the large-transaction component specifically, making it possible to detect when whale-scale capital is disproportionately active on-chain relative to its historical baseline. The Conviction mode adds a second dimension by measuring whether whale activity is leading or lagging price, separating periods where large holders are front-running price moves from periods where they are simply responding to them.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Индикатор
Индикатор
Breaker Block Reversal Engine [forexobroker]Breaker Block Reversal Engine trades the polarity flip of a failed order block: when price closes straight through an order block instead of respecting it, that zone flips polarity and the level that trapped one side now fuels the other. The unique angle is treating the flip as a persistent regime, then timing entries with an EMA reclaim inside the active breaker bias rather than waiting only for the rarer classic retest.
🔶 ALGORITHM
1. Confirm swing structure with symmetric pivots and track the most recent confirmed swing high and low.
2. Detect a structural break: close crosses the last confirmed swing low (down break) or swing high (up break).
3. Find the origin candle by scanning back up to OB Search Lookback bars for the last opposing candle; validate the impulse with Min Impulse x ATR.
4. Polarity flip: a bearish origin OB becomes a BULLISH breaker once the break reference (close or high) closes above its top; a bullish origin OB becomes a BEAR breaker once price closes below its bottom. Confirm-on-close toggle controls strictness.
5. Retest detection uses a Retest Buffer x ATR tolerance band drawn around the flipped breaker.
6. Persistent breaker bias: a flip arms bias +1 / -1; the regime clears when that breaker is retested (one-shot) or the opposite breaker flips.
7. Entry timing: within an active breaker bias, an EMA reclaim (ta.crossover / ta.crossunder of close vs the Entry Reclaim EMA) fires the trade. Retest-Only Mode swaps this for the strict breaker-zone retest.
🔶 SIGNAL LOGIC
- Buy: a bear order block has flipped to a bull breaker (bias +1) and close crosses over the Entry Reclaim EMA (or, in Retest-Only Mode, the bull breaker retest), in session, position not already long, after the cooldown window, only on barstate.isconfirmed; position-lock flips to LONG.
- Sell: a bull order block has flipped to a bear breaker (bias -1) and close crosses under the Entry Reclaim EMA (or the bear breaker retest), in session, position not already short, cooldown elapsed, on barstate.isconfirmed; position-lock flips to SHORT.
Only fires when a breaker has flipped polarity and set directional bias.
🔶 INPUTS
- Structure: pivot length for swing confirmation (default 7), OB search lookback, and ATR length.
- Impulse filter: minimum impulse in ATR multiples to qualify the origin (default 1.0x ATR).
- Retest tolerance: buffer added around the breaker on retest in ATR multiples (default 0.10x ATR).
- Break confirmation: confirm-on-close toggle for the polarity flip (default on).
- Signal Logic: Entry Reclaim EMA length (default 9) and Retest-Only Mode toggle (default off).
- Cooldown: minimum bars between signals (default 6).
- Filters: optional session restriction and one-signal-per-breaker lock (default on).
- Visual: breaker zone boxes, dashboard, 3-layer glow, buy/sell colors, dashboard background.
🔶 ALERTS
BBR Buy, BBR Sell, BBR Any Signal, BBR Down Break, BBR Up Break, BBR Bull Flip, BBR Bear Flip, BBR Bull Retest, BBR Bear Retest, BBR Bull OB Set, BBR Bear OB Set, BBR Structure, BBR Webhook JSON.
🔶 LIMITATIONS
- Requires warm-up: pivots confirm only after Pivot Length bars on each side, so early history yields no structure.
- Defaults are tuned for liquid instruments; the impulse and retest-buffer ATR multiples may need adjustment on thin symbols.
- Retest-Only Mode is intentionally rare; the default EMA-reclaim regime mode trades more frequently.
- Non-repainting by design (pivots confirmed, signals on bar close); the anchoring swing appears Pivot Length bars after it formed.
- A breaker is a probabilistic zone, not a guaranteed reversal; polarity flips can fail in strong trends.
Индикатор
Adaptive Sharpe Regime [forexobroker]Adaptive Sharpe Regime computes a rolling Sharpe ratio of bar returns and sorts the result into directional regime tiers, then times entries with a reclaim-EMA cross. The unique angle is a Newey-West lag-1 autocovariance correction that stops serial correlation in returns from artificially inflating the Sharpe, making the regime read self-normalising and comparable across instruments and timeframes.
🔶 ALGORITHM
1. Compute per-bar returns (log returns by default, or simple returns) and their rolling mean and variance over the Sharpe window.
2. Estimate the lag-1 autocovariance of demeaned returns over the same window.
3. Apply the Newey-West correction: corrected variance = variance + 2 x autocovariance, then take the square root for the corrected volatility.
4. Sharpe = mean return / corrected volatility (guarded against zero volatility).
5. Sort the Sharpe into five regime tiers using the Strong and Mild thresholds: strong+ (+2), mild+ (+1), flat (0), mild- (-1), strong- (-2). The tier sign is the directional bias.
6. With a bias set, a close crossover (long) or crossunder (short) of the reclaim EMA times the actual entry. Signals respect an optional strong-only filter, a bar cooldown, position-lock, and bar-close confirmation. Non-repainting.
🔶 SIGNAL LOGIC
- Buy: in-session AND tier is tradable AND bias = +1 AND close crosses over the reclaim EMA AND position not already long AND cooldown elapsed AND barstate.isconfirmed (then position locks long).
- Sell: in-session AND tier is tradable AND bias = -1 AND close crosses under the reclaim EMA AND position not already short AND cooldown elapsed AND barstate.isconfirmed (then position locks short).
- Only fires when the Sharpe tier is tradable (mild or stronger; strong-only if "Require Strong Tier" is on).
🔶 INPUTS
- Sharpe group: window length over which returns and Sharpe are measured; default Sharpe Window 40.
- Returns mode: log vs simple returns toggle; default Log Returns on.
- Newey-West: toggle the lag-1 autocovariance variance inflation; default on.
- Regime tiers: Strong and Mild absolute-Sharpe thresholds; default Strong Sharpe 0.8.
- Mild threshold: lower band for the mild tier; default Mild Sharpe 0.2.
- Volatility reference: ATR length used for the dashboard reference; default ATR Length 14.
- Signal Logic group: entry reclaim EMA, strong-only filter, cooldown; default Entry Reclaim EMA 9.
- Cooldown: minimum bars between signals; default Cooldown Bars 5.
- Filters group: optional session restriction and session window; default Restrict to Session off.
- Visual group: dashboard, 3-layer glow, reclaim EMA, buy/sell colors, dashboard background.
🔶 ALERTS
ASH Buy, ASH Sell, ASH Any Signal, ASH Strong Plus, ASH Strong Minus, ASH Bias Bull, ASH Bias Bear, ASH EMA Up, ASH EMA Down, ASH Sharpe Zero, ASH Tier Change, ASH Armed, ASH Webhook JSON.
🔶 LIMITATIONS
- The Sharpe ratio needs a full window of returns to stabilise, so the first Sharpe Window bars are warm-up and tiers should not be trusted there.
- The Newey-West correction only addresses lag-1 serial correlation; higher-order autocorrelation is not modelled and the corrected variance is clamped to a small positive floor.
- Regime tiers are statistical classifications, not forecasts; a strong tier describes recent risk-adjusted drift, not future returns.
- Default thresholds are tuned for liquid instruments; thin or gappy symbols can produce unstable Sharpe values.
- Entries confirm on bar close, so the reclaim-EMA cross is acknowledged with one-bar lag versus intrabar price.
Индикатор
Индикатор
TASC 2026.06 One Percent A Week - Adaptive█ OVERVIEW
This script implements a variant of Dion Kurczek's "High-Probability Weekly Trading Strategy For TQQQ" concept, as presented in his article "Part 2: Variations and Community Enhancements" in the June 2026 edition of the TASC Traders' Tips . In the article, the author explores multiple possible revisions to the original strategy. In this publication, we've adapted the final revision presented in the article: the "Adaptive Weekly Momentum Exit" model.
█ BACKGROUND
The One Percent a Week strategy was recently introduced in the March 2026 publication . It utilizes the 3x leverage and volatility of TQQQ to attempt to capture 1% weekly profit from reactive moves made early in the week. The system was designed with simple, strict trading rules to prevent overtrading and control drawdown. Although this was the goal, the system left room for improvements to the base concept.
The original system used the following mechanics:
Enter a trade after a 1% dip from the Monday open.
Set an initial profit target of 1% for the open trade.
If the trade's drawdown is 0.5% or greater, create a short limit order to fill at the entry price.
Close the trade at the end of the week, regardless of profit or loss.
The version discussed in this article overhauls most of these mechanics. It preserves the same premise of striving for 1% average weekly returns, but aims to minimize drawdowns and allow for conditionally higher profit targets by introducing the following improvements:
Entry on Monday open : The strategy enters a trade at the open of each Monday rather than waiting for a 1% dip, increasing market exposure.
Dynamic profit target : The initial profit target for each trade is 7%. Depending on the trade performance during the Monday session, the target increases by 1.1%, decreases to 2.5%, or remains unchanged.
Momentum-weakness exit : If the trade's performance is strong on Monday and begins to weaken on Tuesday, the system places a market order to exit the trade to avoid potential increased losses.
Hard stop-loss : Each trade has a fixed 1.5% stop-loss order to prevent trades from further deterioration.
█ THE RULES
The rules of the "Adaptive Weekly Momentum Exit" model discussed in the article differ significantly from those in the original strategy. The rules for this version are as follows:
Enter a new trade at Monday's open.
Set a fixed stop-loss order at 1.5% below the entry price.
Set an initial take-profit order at 7% above the entry price.
Check the trade's performance at the end of Monday. If the trade is still open and the profit is greater than 0.3%, multiply the take-profit price by 1.011 to allow a potential profit of 8.177%. If the open profit is currently zero or negative, reduce the target to 2.5%.
At the end of Tuesday, check for a momentum-based exit condition. If the return was above a specified threshold on Monday (2% by default) but fails to meet a separate threshold on Tuesday (3% by default), indicating a loss of momentum, place an order to close the position early.
If the position is open at the end of the week, close it immediately.
▌Properties
Position Sizing : Sizing is 10% of equity, the same as in the article.
Commissions : Commission value is set to $0. Most major US brokers charge $0 commission on stocks and ETF trades, including leveraged ETFs such as TQQQ.
Slippage : Slippage is not discussed in the article and likewise has not been included in this strategy.
Note:
This script enables "Recalculate after order is filled" by default, allowing the strategy to update trades and orders on the same bar to match the intended mechanics discussed in the article. Using this setting by default results in a warning in the strategy report because it can cause lookahead bias in some scripts. However, this script does not leak future price data into the past to control its orders or logic.
█ DISPLAY
Similar to the strategy published for Part 1, this script plots lines to visualize the levels that it uses for order execution:
Entry price : The blue line plots the entry price for the position, which is placed at Monday's opening price.
-1.5% Hard stop : The red dashed line is the level at which the 1.5% fixed stop loss is placed.
Profit target : The solid green line shows the profit target.
█ INPUTS
"Monday %" and "Tuesday %" : These thresholds adjust the parameters of the loss-of-momentum exit. An early exit occurs if trade's return percentage as of Monday is greater than the "Monday %" value, and the current percentage on Tuesday is less than the "Tuesday %" value. The default percentages are the specific values referenced in the article.
Стратегия
Индикатор
NEWS [Ordinary Trader]# NEWS
NEWS by Ordinary Trader marks high-impact USD economic news events on your chart — CPI, NFP, FOMC, PCE, GDP, and the rest of the red-folder calendar — both past and upcoming.
Part of the Ordinary Trader family alongside **EMAs**, **FVGs**, **KEY LEVELS**, **ZONES**, and **STRATEGY (LITE / PRO)**. The methodology calls for standing aside during high-impact news; this indicator makes those events impossible to miss.
## Visuals
Each event produces a **full-height vertical column** at the exact event time, plus a **small triangle marker** in a thin pane below the chart. Hover the marker for event name, day, date, and time in your selected timezone.
~3 months of historical events stay visible. ~1 week of upcoming events floats in the projected area to the right of your latest candle.
## Tiers + Filters
Events auto-classify into 4 tiers, each with its own colour:
- **Tier 1** — CPI, NFP, FOMC Rate Decision, PCE, GDP
- **Tier 2** — FOMC Minutes, Retail Sales, ISM PMI, PPI
- **Tier 3** — ADP, Consumer Confidence, Michigan, JOLTS, Initial Jobless Claims, Durable Goods
- **Uncategorised** — everything else (default OFF)
Hybrid filtering: tier master toggles + per-event toggles.
## Alerts (optional)
Pre-event TradingView alerts fire N minutes before each visible event (default 30). Same filters apply. One-time setup: enable in indicator settings + add a TradingView alert with condition `Any alert() function call`.
## Timezone
10 options (ET / CT / PT / UTC / UK / CET / Tokyo / HK / Singapore / Sydney) for tooltips and alerts. DST automatic.
## Notes
- USD events only; non-USD on the roadmap.
- Built on the Forex Factory data feed maintained by **@toodegrees** via Pine Seeds. The visual layer, tier classification, filter UI, and alerts are original work.
- License: Mozilla Public License 2.0. Free to use. Индикатор
Put Credit Spread Combined Price Tracker📊 Description
The Put Credit Spread Combined Price Tracker is an advanced options visualization and risk assessment workspace designed specifically for multi-position credit spread sellers. Instead of guessing your proximity to risk, this indicator maps your mathematical break-even thresholds directly onto your live asset candle chart while maintaining a real-time Black-Scholes Options Pricing Matrix Dashboard.
This tool is ideal for tracking individual or nested index options structures (such as SPX, NDX, or RUT) where precision risk boundary management is critical.
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⚙️ How to Set Up Your Spreads
1. Add to Chart: Load the indicator on your target ticker (e.g., SPX).
2. Open Settings: Click the gear icon on the indicator name to open the configuration menu.
3. Configure Your Engine:
o Keep Enable Automated Volatility checked to let the script automatically extract a continuous historical volatility proxy, or uncheck it to key in your broker's implied volatility (IV %) reading manually.
4. Input Your Positions (Supports up to 4 Parallel Trades):
o Check the Box to enable a specific spread position.
o Short/Long Put Strike: Key in your exact leg boundaries.
o Premium Received: Enter the net premium collected per spread block (e.g., 5.00 for a $500 credit).
o Contracts Quantity: Enter your position size.
o Start/Exp Date: Key in your precise calendar execution parameters. The indicator automatically bounds the line drawings to your trade's specific lifecycle window.
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📉 Reading the Chart Visuals
• Dashed Break-Even Lines: The script removes clutter by stripping out raw strike lines. Instead, it plots the absolute net financial break-even floor for each position (Short Strike - Premium Collected). If the market candles drop below this dashed line at expiration, the position enters a net loss state.
• Right-End Anchored Labels: Each active position features a dedicated text flag pinned directly to the right margin of your screen, letting you instantly match a specific break-even line to its designated position entry.
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🧮 Understanding the Dashboard Table (Bottom-Right)
The tracking matrix evaluates your positions dynamically using a full Black-Scholes Options Pricing model loop on every price tick:
• Strikes (S/L): Displays your structured position boundaries for quick auditing.
• Current Mark: Shows what the option spread is worth right now in the open market before expiry, modeling continuous time decay (\(\theta \)) and underlying spot movements.
• Live Open P&L: Replicates your broker's dashboard. It dynamically updates using (Net Credit - Current Mark Value) * 100 * Qty. Cells turn Green for an open profit and Red for an open loss.
• Position Delta: Displays your aggregate Greeks exposure. Since put credit spreads are directionally bullish, this value will calculate as a net positive number.
• Current IV: Shows the exact annualized volatility proxy percentage fueling your options pricing calculations.
• Days Left: Counts down the exact localized time window remaining before contract expiration.
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Индикатор
Helios Volatility Atlas [JOAT]Helios Volatility Atlas
Introduction
Helios Volatility Atlas is an open-source regime and volatility mapping indicator. It combines an adaptive baseline, DMI/ADX trend strength, volatility scoring, VWAP sigma bands, premium/discount structure, squeeze detection, retest zones, right-side level rails, and a top-right dashboard.
The problem Helios addresses is market context. A trend signal means something different in compression than it does during expansion. A retest means something different near discount than it does at an outer volatility channel. Helios brings those layers into one chart so users can interpret price action with regime, volatility, and location in view.
Core Concepts
1. Adaptive Baseline
The baseline blends an EMA-style trend component with an efficiency-ratio adaptive component. When price moves efficiently, the adaptive side reacts more. During choppy movement, the baseline becomes slower and more stable.
2. Volatility Score
ATR is compared against its own moving average and standard deviation. The result is normalized into a 0-100 volatility score so the dashboard can distinguish low, moderate, and high volatility states.
3. Institutional Channels
Helios draws a channel around a mean using ATR-based distances. Inner channels describe normal volatility, while outer pockets mark more extended price areas where reversion or continuation context may matter.
4. Squeeze and Expansion State
The squeeze model compares a Bollinger-style width against a Keltner-style width. When compression releases, the chart highlights a transition from low-energy conditions into expansion.
5. Retest Zones and Rails
Confirmed retests can create projected zones. Right-side rails label important live references such as baseline, VWAP, channels, premium/discount levels, and previous day levels.
Features
Adaptive baseline: Blends trend-following and efficiency-aware smoothing
Volatility score: Converts ATR expansion/compression into a dashboard value
Trend cloud: Fills the space between baseline and VWAP
VWAP sigma bands: Shows price stretch around VWAP
Premium/discount map: Uses a rolling anchor range with equilibrium, discount, and premium levels
Squeeze detection: Highlights compression and release states
Retest zones: Projects confirmed bullish and bearish retest areas
Right-side rails: Labels baseline, VWAP, channels, premium/discount, and day levels
Theme presets: Includes Helios, Consensus Aqua, Sentinel Neon, and Cobalt Risk color families
Top-right dashboard: Shows regime, bias, volatility, squeeze, channel, VWAP sigma, price state, and key levels
Input Parameters
Core Engine:
Adaptive Baseline Length
Efficiency Lookback
ATR Length
ADX / DMI Length
Volatility Window
Volatility System:
Channel Memory
Base Channel ATR Multiple
Outer Channel ATR Multiple
Squeeze Length
Squeeze BB and KC multipliers
Display:
Show Trend Cloud
Show VWAP Sigma Bands
Show Retest Zones
Show Right-Side Level Rails
Theme Preset
Dashboard Text Size
How to Use This Indicator
Step 1: Read the regime
The dashboard classifies the current state as bullish, bearish, expansion, or range.
Step 2: Check volatility
Use the volatility score and squeeze row to decide whether the market is compressed or expanding.
Step 3: Compare price to VWAP and channels
VWAP sigma and ATR channels show whether price is near value, stretched, or reverting from an outer area.
Step 4: Use retest zones as context
Retest zones mark recent confirmed reactions. They are contextual levels, not automatic entries.
Indicator Limitations
Adaptive baselines can lag during sudden reversals
Squeeze release does not define direction by itself
Retest zones can fail in strong momentum conditions
Higher volatility symbols may require adjusted ATR/channel settings
Originality Statement
Helios Volatility Atlas combines adaptive trend state, DMI/ADX confirmation, ATR volatility scoring, VWAP sigma distance, squeeze detection, premium/discount location, projected retest zones, and right-edge rails into a single open-source Pine v6 regime atlas. The components are designed to work as one context engine, not as a loose mashup.
Disclaimer
This script is for educational and informational use only. It is not financial advice and does not predict future price direction. Use independent analysis and risk management.
-Made with passion by jackofalltrades
Индикатор
OTHERS/USDT.D Z-Score | Astral Vision OTHERS/USDT.D Z-Score | Astral Vision 🌠💠
This indicator constructs a ratio between the OTHERS market cap dominance and USDT dominance, then applies Z-Score normalization in log space to measure how statistically extreme the current positioning of altcoin capital relative to stablecoin dry powder is compared to its own history.
OTHERS dominance tracks the combined market cap share of all cryptocurrencies excluding Bitcoin, Ethereum, and the top few large caps, making it a direct proxy for altcoin season conditions. USDT dominance measures the share of total crypto market cap held in Tether, which rises when capital exits risk assets into stablecoins and falls when stablecoin capital is deployed into crypto assets.
Calculation ⚙️
The ratio is computed as OTHERS dominance divided by USDT dominance on a daily timeframe. A high ratio means altcoin capital is large relative to stablecoin reserves, indicating that available dry powder has been deployed and the altcoin market is extended. A low ratio means stablecoin dominance is high relative to altcoin exposure, indicating that capital has retreated to safety and dry powder is accumulating.
The natural logarithm of this ratio is then taken before all subsequent calculations. Working in log space normalizes the exponential growth of both series across different market cycles, ensuring that a ratio change from 2 to 4 is treated as equivalent in magnitude to a change from 4 to 8, which is the correct treatment for proportional dominance relationships.
A simple moving average and standard deviation are computed over the configurable Z-Score lookback window, producing the Z-Score as: (log ratio minus mean) / standard deviation. This expresses the current ratio in units of standard deviations above or below its own historical average, making readings directly comparable across cycles regardless of the absolute dominance levels involved.
In Trend mode, an EMA of configurable length is applied to the Z-Score itself, functioning as a signal line. When the Z-Score is above its EMA, the momentum of the ratio is positive and altcoin conditions are improving relative to stablecoin reserves; when below, the momentum is negative.
Plots 📊
Z-Score oscillator colored by mode and regime
Two upper threshold lines marking statistically elevated altcoin exposure (Extremes mode)
Two lower threshold lines marking statistically depressed altcoin exposure (Extremes mode)
Fill highlights when Z-Score enters the outer extreme zones
Zero baseline
EMA signal line (Trend mode)
Background color on the price chart when Z-Score enters the outer extreme zones (Extremes mode)
Candle coloring on the price chart reflecting current regime in both modes
Inputs 🎛️
Visualization: Extremes or Trend
Z-Score Lookback: normalization window for mean and standard deviation
Upper Z 1 and Upper Z 2: configurable inner and outer upper threshold levels
Lower Z 1 and Lower Z 2: configurable inner and outer lower threshold levels
EMA Length: smoothing period for the trend signal line (Trend mode)
Colors 🎨
5 Astral Vision presets + custom override. Default: Futura.
Purpose 🎯
Standard altcoin season indicators use fixed dominance thresholds or simple moving average crossovers on raw dominance values, which are not statistically normalized and behave differently across cycles as the total crypto market cap grows. This indicator normalizes the ratio in log space over a long rolling window, making a Z-Score of +2.0 in 2021 and a Z-Score of +2.0 in 2024 carry equivalent statistical weight despite the absolute dominance percentages being different. The dual threshold system further separates moderate elevated conditions from statistically severe ones, allowing a more nuanced reading than a single overbought/oversold line can provide.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Индикатор
Bitcoin vs VUG/VTV Rolling Ratio Analysis | Astral Vision Bitcoin vs VUG/VTV Rolling Ratio Analysis | Astral Vision 🌠💠
This indicator measures the relative momentum of Bitcoin against the VUG/VTV ratio, which is the price of Vanguard's Growth ETF divided by Vanguard's Value ETF. This ratio is one of the most direct and liquid expressions of the growth-versus-value rotation dynamic in institutional equity markets: when VUG outperforms VTV the ratio rises, signaling that markets are rewarding high-multiple, long-duration assets; when VTV outperforms, the ratio falls, signaling a rotation toward defensive, cash-flow-heavy assets typically associated with tightening liquidity or rising rates.
Bitcoin is itself a long-duration, high-beta asset with structural similarities to growth equities: it tends to expand during the same liquidity-driven environments that favor VUG over VTV, and contract during the same risk-off environments that favor VTV over VUG. Tracking the VUG/VTV ratio alongside Bitcoin's own momentum reveals whether the macro environment is confirming or diverging from Bitcoin's price action, which historically has been a more reliable framework for identifying regime shifts than price-only signals.
The indicator operates in three modes.
Average Valuation mode averages the normalized momentum of Bitcoin and the VUG/VTV ratio into a single composite score, comparing it against configurable overbought and oversold percentile thresholds to identify when both are simultaneously extended or depressed.
Average Trend mode compares the composite score against its own midpoint to determine whether aggregate momentum is in its upper or lower historical half.
Double Signal mode plots Bitcoin and the VUG/VTV ratio momentum separately on the same normalized scale, making divergences between the two directly visible.
This is a cross-asset macro momentum and rotation indicator suited for swing trading and position trading on daily timeframes , functioning as a regime filter that connects Bitcoin's price action to one of the most closely watched equity style rotation signals in institutional markets.
How it differs from standard relative strength tools
A standard BTC/VUG ratio chart divides prices directly, producing a series with no statistical normalization and no connection to VTV. This indicator uses percentage returns normalized over a rolling window, making readings statistically consistent across different periods, and compares Bitcoin not against a single equity ETF but against the growth-value spread, which is a second-order signal capturing the macro liquidity regime rather than a single sector's performance. The three-mode architecture further distinguishes it from a simple ratio overlay by providing composite valuation, trend, and component-level views within a single indicator.
Plots 📊
Averaged normalized momentum oscillator with overbought and oversold threshold lines (Average Valuation mode)
Averaged normalized momentum with fill against the 50 midline (Average Trend mode)
Bitcoin and VUG/VTV normalized momentum plotted separately (Double Signal mode)
Overbought and oversold threshold lines (Average Valuation and Double Signal modes)
50 midline reference
Background color on the price chart when average enters extreme zones (Average Valuation mode)
Candle coloring on the price chart reflecting current regime in all three modes
Inputs 🎛️
Mode: Average Valuation, Average Trend, or Double Signal
Normalization Period: rolling window for the min-max normalization of returns
Lookback Period: return calculation window for both Bitcoin and the VUG/VTV ratio
Overbought Threshold: upper percentile level for extreme zone detection
Oversold Threshold: lower percentile level for extreme zone detection
Transparency: opacity of the background color highlight
Colors 🎨
5 Astral Vision presets + custom override. Default: Paradiso.
Disclaimer ⭕️
This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions. Индикатор
Tactical Atlas [DAFE]Tactical Atlas : A Multi-Dimensional Regime & Phase Space Visualizer
This is not an indicator. This is a tactical map of the market's current state. It synthesizes multiple dimensions of data—trend, momentum, volatility, and stress—into a single, observable point in a four-quadrant phase space, providing an unparalleled, at-a-glance view of the market's true character.
█ CHAPTER 1: THE PHILOSOPHY - FROM CLUTTER TO CLARITY
The modern trader is drowning in data. We stack our charts with RSI, MACD, ADX, and Bollinger Bands, creating a cluttered screen of conflicting signals. We are then forced to perform a complex, subjective mental synthesis to answer the most fundamental question: " What is the market actually doing right now? " Is it a healthy trend, an exhausted trend, a low-volatility compression, or a nascent recovery? Answering this requires juggling multiple concepts simultaneously.
The Tactical Atlas was engineered to solve this problem of information overload. It is a powerful data visualization engine built on a simple premise: a picture is worth a thousand indicators. It takes a suite of underlying metrics that quantify the market's key characteristics and maps them into a single, intuitive, two-dimensional "phase space." The position and trajectory of a single point within this space provides a complete, synthesized, and immediate understanding of the market's regime.
This tool is not about adding another line to your chart; it's about replacing a dozen. It is a system for achieving profound contextual awareness, allowing you to see the market's state, its evolution over time, and its alignment across multiple timeframes, all within a single, elegant visual interface.
█ CHAPTER 2: THE CORE INNOVATIONS - ORIGINALITY & USEFULNESS
The Tactical Atlas is not a "mashup" of existing indicators. It is a novel framework for data synthesis and visualization, built upon a suite of proprietary and established analytical concepts.
The Phase Space Architecture: This is the core innovation. Instead of displaying multiple oscillators in separate panes, the Atlas maps different dimensions of market data onto the X and Y axes of a scatter plot. The result is a single "point" whose coordinates (x, y) represent the synthesized state of the market. Its position and movement provide a rich, holistic view that is impossible to achieve with standard indicators.
Three Distinct Analytical Modes: The Atlas is not one map, but three. You can instantly switch between different "lenses" to view the market's state from different perspectives, each answering a different critical question:
Phase Space: Maps Trend Strength (X-axis) vs. Momentum (Y-axis). Answers: "Is this a strong trend with momentum, or is it an exhausted trend?"
Stress Orbit: Maps Volatility Rank (X-axis) vs. Market Stress (Y-axis). Answers: "Is this a calm, low-volatility environment, or a high-stress, fearful one?"
Permission Field: Maps Directional Bias (X-axis) vs. a proprietary Permission Score (Y-axis). Answers: "Does the market have the underlying conditions (permission) to support a sustained directional move?"
The Four Quadrant Regime Model: The phase space is divided into four distinct, named quadrants: RECOVERY, EXPANSION, COMPRESSION, and EXHAUSTION . The position of the point within these quadrants provides an immediate, human-readable classification of the market's character, allowing you to instantly align your strategy with the current environment.
Multi-Timeframe "Ghost" Points: A revolutionary approach to multi-timeframe analysis. The Atlas calculates the state of the market on up to three higher timeframes and projects them as semi-transparent "ghost" points into the same phase space. This allows you to see, at a glance, if the current timeframe's regime is in alignment or conflict with the macro trend, without ever leaving your chart.
The Velocity Vector: The system doesn't just show you where the market is in phase space; it shows you where it's going. A dynamic arrow is drawn from the current point, indicating the direction and magnitude of its recent travel through the space. A point moving rapidly from Compression towards Expansion is a powerful leading signal of an impending breakout.
█ VISUALS - HOW TO READ THE ATLAS
Every visual element is a data-rich component designed for rapid, intuitive interpretation.
The Scatter Plot (The Map)
The Quadrant Fields: The four colored quadrants that define the map. Each is labeled and has a distinct meaning. Your primary goal is to identify which quadrant the market currently occupies.
The Gridlines: These faint lines mark the 25%, 50%, and 75% levels on both the X and Y axes, providing a clear visual reference for the strength of each component. The central intersection is the "neutral" point.
The Trail: A multi-colored line that shows the historical path of the market's state over the last N bars. It allows you to see the journey the market took to arrive at its current position. A smooth, directional trail indicates a healthy, evolving regime. A tangled, chaotic trail indicates indecision.
The Current Point (The Comet): This is you. It is the most important point on the map, representing the market's state on the most recent bar. It is rendered with a multi-layered, pulsating glow to make it the clear focal point. Its color is determined by the quadrant it is in.
The Velocity Vector: An arrow drawn from the current point, indicating its recent direction of travel through the phase space. This is a critical leading indicator, showing you the "momentum of the regime."
The MTF Ghost Points (◆): These are the semi-transparent, diamond-shaped markers. Each ghost represents the position of a higher timeframe (e.g., 1H, 4H, Daily) within the same coordinate space.
Alignment: If the ghost points are clustered near the current point, it signals strong multi-timeframe confluence.
Divergence: If the current point is in the "Expansion" quadrant but the Daily ghost point is deep in the "Exhaustion" quadrant, it's a powerful warning of a potential macro reversal.
DASHBOARD (THE LEGEND)
Current Quadrant: A clear, color-coded readout of the market's current regime.
MTF Quadrants: Displays the regime classification for each of your selected higher timeframes, allowing for quick confirmation of alignment.
Axis Info: Explicitly tells you what the X and Y axes currently represent based on your selected "Visualization Mode."
Confluence & Stress: Provides the numerical score for MTF alignment and the calculated "Stress Score."
Earnings Block: For equity traders, this section automatically pulls and displays the latest earnings data (Actual vs. Estimate) and the resulting surprise percentage.
How To Read Guide: A built-in legend that provides a quick reference for interpreting the various visual elements.
█ THE THREE ATLASES - A DEEP DIVE INTO THE MODES
MODE 1: PHASE SPACE (The Classic)
X-Axis: Trend Strength. A composite score derived from ADX, price position relative to a long-term MA, and the alignment of multiple EMAs. It measures the existence and quality of a directional trend. A value of 100 is a powerful, unambiguous trend.
Y-Axis: Momentum. A composite score derived from RSI, ROC, and Stochastic RSI. It measures the velocity and acceleration of price.
This mode answers: Is this a strong trend backed by momentum (Expansion), or is the momentum dying while the trend is still high (Exhaustion)? Is momentum starting to build from a low-trend base (Recovery)?
MODE 2: STRESS ORBIT (The Risk Gauge)
X-Axis: Volatility Rank. Measures the current ATR relative to its historical range over a long lookback. A value of 100 means volatility is at a multi-month high.
Y-Axis: Market Stress. A proprietary score that blends Volatility Rank with Bollinger Band Width and a penalty for a lack of trend strength. It quantifies "unproductive" or "fearful" volatility.
This mode answers: Is this a low-volatility, calm environment (Compression), or a high-stress, dangerous one (Exhaustion)? Is volatility starting to expand in a productive way (Expansion)?
MODE 3: PERMISSION FIELD (The Go/No-Go)
X-Axis: Directional Bias. A composite score of momentum oscillators, all pointing in the same direction. It measures the short-term directional pressure.
Y-Axis: Permission Score. A proprietary score that asks if the underlying market conditions have "permission" to trend. It rewards low volatility, rewards existing trend strength, and rewards momentum.
This mode answers: We have a strong directional bias, but do we have the low-volatility, high-trend-strength "permission" needed for a successful breakout (Expansion)? Or is the directional bias occurring in a high-volatility, low-trend environment where it's likely to fail (Exhaustion)?
█ DEVELOPMENT PHILOSOPHY
The Tactical Atlas was born from a need to escape the "tyranny of the single indicator." It is a tool for systems thinking. It is built on the belief that a market's true character cannot be understood by looking at any single metric in isolation, but by observing the interplay and relationships between multiple dimensions of data. By transforming this complex, multi-dimensional state into a simple, intuitive visual, we empower traders to make faster, more accurate, and more contextually-aware decisions. This is not just data visualization; it is the visualization of understanding.
█ DISCLAIMER AND BEST PRACTICES
THIS IS A CONTEXTUAL TOOL, NOT A SIGNAL GENERATOR: The Tactical Atlas is designed to provide you with a deep understanding of the market regime. Use this understanding to select the appropriate strategy (e.g., trend-following in Expansion, mean-reversion in Compression).
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk.
CONFLUENCE IS KEY: The most powerful insights come from confluence. A move of the current point into the Expansion quadrant is a good sign. That same move, while the higher timeframe "ghost points" are also in or moving towards Expansion, is an A++ signal that a major, multi-timeframe move is underway.
STUDY THE TRAJECTORY: Do not just look at where the point is. Look at the trail. Where did it come from? How fast is it moving? The history and velocity of the point are often more important than its current location.
— Dskyz, Trade with insight. Trade with anticipation. (Don't follow the trend, be the trend) Индикатор
Daily Bias Liquidity Profiler [MarkitTick]💡 This advanced analytical framework is engineered to decode market structure, track liquidity sweeps, and map volatility profiles on an intraday basis. Built natively for the sophisticated Pine Script version 6 environment, this indicator transcends basic charting by aggregating Previous Day metrics, session-specific liquidity pools, Fair Value Gap (FVG) confluences, and probabilistic bias models into a single, cohesive visual interface. It is designed for quantitative and algorithmic traders who require a deep understanding of market mechanics, offering unparalleled insight into where resting liquidity is likely positioned and how daily volatility is structured based on pure statistical variance.
✨ Originality and Utility
● Comprehensive Architectural Design
Most standard technical indicators focus on a single mathematical transformation, such as moving averages or simple momentum oscillators. The originality of this profiler lies in its multi-faceted approach, unifying advanced price action concepts that typically require multiple separate scripts. By leveraging Pine Script version 6 User-Defined Types (UDTs), the script maintains an incredibly lightweight footprint while calculating complex, interconnected market states without degrading chart performance.
● Algorithmic Session Tracking
The utility of the indicator is profoundly evident in its automated handling of time-based liquidity. Rather than manually drawing boxes around the Asian and London sessions, the script dynamically profiles these periods. It treats their boundaries not as mere historical artifacts, but as active, magnetic liquidity pools that drive future price action.
● Real-Time Bias Computation
This tool introduces a dynamic probability engine that continuously evaluates the likelihood of price sweeping the Previous Day High or Previous Day Low based on current opening momentum and accumulated volatility. This gives traders a statistical edge in determining their daily directional bias without relying on subjective chart patterns.
🔬 Methodology and Concepts
● Daily Range Profiling
At the core of the script's methodology is the Daily Profile engine. It systematically captures the Previous Day High, Previous Day Low, and Previous Day Close. These levels represent the absolute boundaries of yesterday's value area. The script calculates the total range of the previous day to establish a baseline for current-day expectations and statistical deviation limits.
● Session Liquidity Engineering
The script defines distinct macro-economic windows, specifically targeting the Asian and London trading sessions.
Asian Session Consolidation: Often characterized by tight ranges, the Asian session builds resting liquidity above its highs and below its lows. The algorithm tracks these exact price levels dynamically.
London Session Expansion: The script monitors the London open for initial expansion moves that frequently sweep the liquidity accumulated during the Asian session, triggering internal alerts when these specific thresholds are pierced.
● Fair Value Gap (FVG) Confluence
Market imbalances are identified through a precise Fair Value Gap detection algorithm. The script does not just highlight every random gap on the chart; it specifically looks for FVG formations that align with the directional bias and occur in proximity to session sweeps. This creates a high-probability confluence signal, indicating that the market is rapidly moving to rebalance price delivery.
● Advanced Volatility Metrics
Volatility is not measured through standard lagging indicators. Instead, the script utilizes an Average Daily Range (ADR) calculation. It dynamically tracks the percentage of the ADR that has been fulfilled during the current day. By calculating how many bars it typically takes to reach standard deviation milestones of the ADR, the script provides a predictive model for intraday exhaustion.
● Dynamic Bias Scoring Engine
The indicator calculates a running score to determine the daily bias. It awards positive and negative weights based on several factors: the location of the current price relative to the daily open, whether a session liquidity sweep has occurred, the presence of FVG confluences, and the proximity to the Previous Day's extremes. This score is translated into a probability percentage for sweeping either the high or the low.
🎨 Visual Guide
● Liquidity Zones and Range Boxes
Session Boxes: Distinct, shaded rectangular regions drawn over the chart to encapsulate the high and low bounds of the Asian and London sessions. These boxes visually isolate the accumulation phases.
Range Zone Boxes: Projected areas above and below the current price action representing high-probability reversal or expansion targets based on the ADR calculations.
● Structural Lines
Previous Day Boundaries: Solid, distinct horizontal lines marking the exact price levels of the Previous Day High and Previous Day Low.
Midlines: Subtler horizontal lines traversing the center of the calculated range zones to indicate equilibrium levels where price action may stall or pivot.
● Dynamic Labels and Alerts
Sweep Labels: Textual annotations that appear exactly when price pierces a session boundary or previous day extreme, explicitly confirming a liquidity sweep.
Bias State Text: A dedicated label displaying the current statistical bias, updating dynamically as volatility metrics shift throughout the trading day.
📖 How to Use
● Establishing Directional Bias
Begin your analysis by referencing the Bias State metric displayed on the chart. If the script calculates a high probability of sweeping the Previous Day High, prioritize bullish setups. Conversely, a high probability for the Previous Day Low dictates a bearish posture. Do not fight the algorithmic bias without significant contradicting evidence from higher timeframes.
● Executing the Sweep and Reverse
Monitor the Asian and London session boxes. A prime setup occurs when price aggressively breaks outside a session box and immediately faces strong rejection. This false breakout is the trigger for a mean-reversion trade targeting the opposite side of the session range. Look for the script's sweep labels to confirm the level has been compromised.
● Filtering with Volatility
Consult the Volatility Metrics before entering a trade. If the current daily range has already fulfilled a high percentage of the Average Daily Range (ADR), the probability of further directional expansion diminishes. In such cases, avoid breakout trades and look for exhaustion reversals at the projected Range Zone extremes.
● Utilizing FVG Confluence
When a sweep occurs, wait for the algorithm to highlight a valid Fair Value Gap in the opposite direction of the sweep. Enter the market on the retracement into this FVG, placing stop losses just beyond the sweep extreme for optimal risk-to-reward ratios.
⚙️ Inputs and Settings
● Time and Session Configuration
Asia Session Hours: Allows the user to precisely define the start and end times of the Asian session based on their specific exchange and timezone.
London Session Hours: Configurable inputs to match the precise opening and closing dynamics of the European market.
● Volatility Parameters
ADR Lookback Length: The historical window (number of days) used to calculate the Average Daily Range. A shorter lookback makes the indicator more responsive to recent volatility spikes, while a longer lookback provides a smoother, more stable expected range.
● Visual Toggles
Show Session Boxes: A boolean toggle to enable or disable the shaded background for trading sessions, allowing for a cleaner chart if only the boundary lines are desired.
Show Sweep Labels: Allows users to turn off the text annotations for liquidity sweeps to reduce visual clutter during highly volatile, choppy market conditions.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity
The foundational logic of this script is deeply rooted in Auction Market Theory. Financial markets operate as a continuous dual-auction process, seeking areas of high liquidity to facilitate trade execution for large-scale participants. The script mathematically models this by isolating session highs and lows, recognizing them as high-density zones for stop-loss orders and breakout triggers.
● Statistical Variance and Range Forecasting
The Volatility Metrics engine relies on historical variance. By computing the Average Daily Range over a predefined dataset, the script applies a simplified standard deviation model to predict the expected boundaries of the current day. This creates a probabilistic bell curve of expected price distribution, where the extremes of the ADR represent the tails of the distribution curve, indicating areas of high mean-reversion probability.
● Microstructural Order Flow Imbalances
The Fair Value Gap (FVG) detection logic is an algorithmic representation of order flow imbalance. In academic market microstructure, when price moves with extreme velocity, it creates a void in the bid-ask spread where only one side of the market was effectively matched. The script mathematically identifies these structural inefficiencies, utilizing them as high-probability zones for future price retracements, as the market naturally seeks to re-auction these inefficiently traded areas.
● Probabilistic Modeling
The bias engine utilizes a rudimentary form of multi-factor linear weighting. By assigning specific values to isolated market events (e.g., crossing the open price, sweeping a specific session), the model computes a composite score. This deterministic approach strips away emotional trading by replacing it with a quantifiable metric that guides directional expectations.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Индикатор
Индикатор
Fractional CUSUM Regime Filter [Jamallo]🔹 Intro
The Fractional CUSUM Regime Filter is a quantitative trend and volatility channel indicator designed to identify structural market regimes with high stability. Unlike traditional filters that suffer from lag or whipsaw signals, this indicator applies a dual-layered preprocessor combining Lopez de Prado’s Fixed-Window Fractional Differentiation (FFD) with a classic Cumulative Sum (CUSUM) statistical trigger.
🔹 Break down
Fractional Differentiation (FFD) : Stationarizes pricing input while retaining long-term historical memory (controlled by the "d" parameter).
Classic CUSUM Filter : Accumulates deviations from a rolling baseline relative to current volatility. When cumulative deviation exceeds the threshold multiplier (h), a new regime change is triggered, and the baseline steps dynamically to the new price level.
Vol-Adjusted Percentile Bands : Linear interpolation percentiles of price deviation relative to the stepped baseline. The distances are "locked" and only update on CUSUM regime triggers to prevent wobbly bands.
🔹 Visual Guide: Indicator Anatomy
Here we have the structure of the indicator, including the CUSUM baseline, the 68% inner percentile band, and the 95% outer percentile band.
How to use: Mean Reversion (Pullbacks to the Mean)
The channel boundaries represent statistical extremes. When the price is pushed outside the bands, it is mathematically overextended and highly likely to revert back to the CUSUM baseline.
Long Setup (Pullbacks in Bullish Trend): During a green CUSUM uptrend, watch for price to pull back to the lower bands ("micro pullback") and enter as it heads back up to the baseline mean.
Short Setup (Pullbacks in Bearish Trend): During a red CUSUM downtrend, watch for price to rally into the upper bands ("micro pullback") and enter as it reverts down to the baseline mean.
🔹 How to use: Trend Following & Risk Management
The indicator is designed to capture sustained macro trends while providing clear risk parameters.
Entering on Breakthroughs : Enter when the BUY/SELL signal flags appear (indicating a new CUSUM regime shift).
Stop Loss Placement : Place stop loss orders just below the opposite outer band or below the stepped baseline.
Letting Winners Run : Ride the trend as long as the CUSUM baseline maintains its colored regime state (Green for Long, Red for Short).
🔹 Settings Parameters
d (0.01 - 0.99) : Differentiation order. Lower values retain more historical memory; higher values approach first-difference.
CUSUM Drift & Threshold : Controls baseline sensitivity to regime changes.
Percentile Lookback & Targets : Set the statistical width of the inner and outer boundaries.
Индикатор
Индикатор
D/K Strength + Smart Money AccumulationA multi-component momentum and accumulation oscillator adapted from the Wenhua/TDX (Chinese trading platforms) community formula "多空力度 + 主力吸筹 文华专用 稳定版".
— LINES PLOTTED —
• Long Strength (green)
A double-smoothed stochastic momentum on a 27-bar window, using the formula 3*SMA(stoch,5,1) - 2*SMA(SMA(stoch,5,1),3,1). Rising from low levels signals strengthening demand. Readings above 90 indicate extended bullish momentum.
• Short Strength (red)
Distance of close from the 55-bar high, normalized to 0–100. Persistent readings above the 44 midline reflect bearish pressure; values near 100 mean price is at a 55-bar low.
• Smart Money Accumulation (yellow)
A volume-free proxy detecting potential accumulation at the 30-bar low. Spikes above zero — especially appearing after a downtrend — are interpreted as buying pressure from larger participants.
— REFERENCE LEVELS —
0 = zero axis
44 = mid-line (long/short pressure boundary)
90 = overbought / overextended threshold
— HIDDEN DEBUG OUTPUTS (toggle in Settings → Style) —
J — classic KDJ J line (3K - 2D)
A65 — KD crossover marker (60 on bullish cross, 0 otherwise)
A151/A152 — deep oversold / overbought flags
Anquan — safety zone value
— TECHNICAL NOTE —
The original formula uses a recursive weighted average:
SMA(X, N, M) = (M*X + (N-M)*prev) / N
which is NOT equivalent to Pine's ta.sma. This implementation faithfully replicates the recursive form via inline state variables, preserving the original signal shape. All divisions are guarded against zero denominators.
— SUGGESTED USE —
• Long bias: Long Strength crossing above Short Strength while Accumulation spikes above zero.
• Short bias: Long Strength rolling over from 90 with Short Strength rising through the midline.
• Works on equities, futures and crypto. Best results on daily and 4-hour timeframes; usable on intraday with parameter awareness.
• Pair with the companion "Protection Price" overlay indicator for entry and stop reference.
A faithful Pine v6 port of the original community formula. Author of the original formula unknown. Индикатор
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
Индикатор
Plasma Flow [LunqFX]Plasma Flow is a VWAP-based market regime and signal engine designed to help traders answer one question before taking any trade:
Is the market actually tradable right now?
Most VWAP tools only show where price is relative to fair value. Plasma Flow goes further by measuring how price is behaving around VWAP through four live dimensions: velocity, pressure, turbulence, and multi-timeframe flow bias.
The goal is simple:
filter out noisy conditions, highlight cleaner environments, and rank signals by quality instead of printing entries everywhere.
WHAT THIS INDICATOR DOES
Plasma Flow builds a dynamic VWAP structure with inner and outer statistical bands, then evaluates the market through a regime model.
It shows:
• Regime — whether the market is in Laminar Flow, Expansion, Contraction, Breakout, or Consolidation
• Velocity — how fast VWAP is moving relative to current volatility
• Pressure — how far price is stretched from VWAP
• Turbulence — whether the market is calm enough to trust signals
• Flow Bias — whether current and higher timeframes agree on direction
• Signal Quality — a simple 1 to 5 score for each setup
• Next Target — the nearest projected band level from current price
This makes Plasma Flow useful both as a standalone decision tool and as a market-condition filter for existing strategies.
💡 WHAT IS VWAP AND WHY IT MATTERS
VWAP stands for Volume Weighted Average Price. It is the
average price that all buyers and sellers have paid over a
period of time, weighted by how much volume traded at each
price. Banks, hedge funds and institutional traders use VWAP
as their primary benchmark.
Here is why this matters for you:
When price is far above VWAP, institutions look to sell.
When price is far below VWAP, institutions look to buy.
This creates a gravitational pull — price tends to return
to VWAP after stretching too far in either direction.
Plasma Flow measures exactly how far price has stretched,
whether the stretch is real or just noise, and whether
conditions favor a snap-back entry right now.
📏 WHAT IS σ (SIGMA) — EXPLAINED SIMPLY
Sigma (σ) is a measure of distance from average, adjusted
for how volatile the market currently is.
Think of it like this:
On a calm day, if price moves $10 away from VWAP that might
be extreme. On a volatile day, $10 is nothing — price does
that every 5 minutes. Sigma automatically adjusts for this.
1.0σ = price is moderately stretched from VWAP
2.0σ = price is significantly stretched — reversal zone
3.0σ = price is at an extreme — statistically rare
The outer bands on the chart are drawn at ±1.5σ and ±2.8σ.
When price touches the 1.5σ band, that is your entry trigger.
When price reaches 2.8σ, that is your hard stop and extreme
take-profit zone. No guessing required — the math does it.
🌊 THE 5 MARKET REGIMES — WHAT EACH MEANS
The Regime banner is the first thing to check every time
you open a chart. Here is what each state means in plain
English and what to do in each one:
LAMINAR FLOW — 🟢 Best conditions
The market is moving smoothly and predictably. Price is
trending cleanly without random spikes and reversals.
Institutional flow is dominant — retail noise is low.
What to do: This is when you trade. All signals that fire
in LAMINAR FLOW have the highest probability. Watch for
signal labels and check the Quality Score. LAMINAR + ★★★
or above is your ideal setup.
EXPANSION — 🟡 Momentum building
Price is accelerating away from VWAP. Momentum is building
and the market is starting to trend. This can precede a
breakout or a sharp reversal when it runs out of energy.
What to do: Do not fight the move. If a LONG signal fires
during EXPANSION, it is a trend-continuation play.
If you are already in a trade, hold and trail your stop.
CONTRACTION — 🟠 Energy compressing
Price is pulling back toward VWAP after a stretch. Momentum
is slowing. This is the mean-reversion sweet spot — price
returning from an extreme to its fair value.
What to do: Watch carefully. This is often when the best
reversal signals appear. A SHORT signal during CONTRACTION
after a high-sigma stretch is a high-quality mean-reversion
trade. Check pressure reading — if it is HIGH or EXTREME,
the snap-back is likely strong.
BREAKOUT — 🔴 High volatility, be careful
Price has broken outside the normal bands and volatility
is spiking. This can be a genuine trend start or a stop-hunt
followed by reversal. Either way — unpredictable.
What to do: No new entries. If you are in a trade already,
tighten your stop or take partial profits immediately.
Wait for the regime to stabilize back to LAMINAR before
looking for new entries. Chasing breakouts is where most
retail traders lose money.
CONSOLIDATION — ⚫ No edge, no trade
Price is stuck in a tight range around VWAP. There is no
clear direction and no momentum. Both buyers and sellers
are balanced — nobody is winning. Signals that fire here
have low follow-through and are not worth trading.
What to do: Close the chart and find another instrument.
There is no edge here. Trading consolidation is paying
spread and swap for random outcomes.
🌀 WHAT IS TURBULENCE — THE MOST IMPORTANT NUMBER
Turbulence is the single most important reading in the panel.
Think of it exactly like weather turbulence on a flight.
When turbulence is low — the flight is smooth, you can
walk around the cabin, everything is predictable.
When turbulence is high — even experienced pilots tell
everyone to sit down and buckle up, because they cannot
predict what comes next.
Markets work the same way.
Turbulence measures how erratic current price movement is
compared to the past 50 bars of normal behavior. It compares
right-now volatility to the average volatility baseline.
CALM (below 0.8) — The market is in smooth, predictable flow.
Price movements follow logic. This is when signals fire and
when trades have the highest probability of working.
MIXED (0.8 to 1.3) — Some noise present. Signals still appear
but reduce your position size. Not ideal but tradeable with
caution.
CHAOTIC (above 1.3) — The market is erratic and unpredictable.
No signals fire in this state regardless of what price does.
This is by design — these are exactly the conditions where
indicator-based trading fails and accounts get damaged.
This gating system alone — suppressing all signals when
turbulence is too high — is what separates Plasma Flow
from 90% of indicators on TradingView that generate signals
regardless of market conditions.
⚡ VELOCITY — IS MOMENTUM REAL OR FAKE?
Standard momentum indicators measure raw price speed.
The problem is that a 50-pip move on a calm Tuesday is
very different from a 50-pip move during NFP news.
Raw speed without context is meaningless.
Plasma Flow measures velocity as price speed divided by
current market noise. This means you are always seeing
momentum relative to what is normal for right now,
not what was normal 3 months ago.
CRASH — Price is collapsing extremely fast relative to
current volatility. A powerful move with real force behind it.
Mean-reversion coming.
FALLING / DOWN — Bearish momentum of varying strength.
FLAT — No meaningful direction. Market is resting.
UP / RISING — Bullish momentum building.
SURGE — Price is spiking extremely fast. Same logic as CRASH
but in reverse — a powerful move that often exhausts itself.
When VELOCITY shows CRASH or SURGE at the same time as
PRESSURE shows HIGH or EXTREME, you have the most powerful
mean-reversion setups the indicator produces.
🔭 WHY 3 TIMEFRAMES INSTEAD OF ONE
Here is a common trap: you are trading on the 15-minute
chart and see a perfect LONG signal. But on the 1-hour chart,
price is in a clear downtrend. You enter long — and price
drops straight through your stop loss.
Your lower timeframe signal was technically correct.
The higher timeframe context invalidated it completely.
Plasma Flow solves this by computing VWAP velocity
independently on three timeframes simultaneously — your
current chart, plus two higher timeframes (default H1 and H4).
It then shows you in the panel whether all three are pointing
in the same direction.
3/3 — Full alignment. All timeframes agree.
Highest conviction entries. Size up.
2/3 — Partial alignment. Two out of three agree.
Acceptable entry. Standard size.
1/3 — Conflicting signals. Timeframes disagree.
Skip the trade entirely. The market has no clear direction.
This multi-timeframe filter alone prevents a large percentage
of the false entries that kill most trading strategies.
⭐ QUALITY SCORE — YOUR POSITION SIZING GUIDE
Every signal gets a score from 1 to 5 stars. Think of this
as a confidence rating that tells you how much to risk.
★☆☆☆☆ POOR
Only one condition was met. This signal has no edge above
random chance. Do not trade it. Use it only for practice
or study.
★★☆☆☆ WEAK
Minimum threshold reached. Two conditions aligned.
If you trade it, use half your normal position size
and tighter stop. Acceptable for scalpers only.
★★★☆☆ GOOD
Three conditions aligned. This is a genuine signal with
real statistical backing. Standard entry with your
normal risk per trade.
★★★★☆ STRONG
Four conditions aligned. Everything is working together —
pressure, turbulence, and timeframe alignment are all
confirming. This is a high-conviction entry.
Consider sizing up 1.5x your standard risk.
★★★★★ PERFECT
All conditions simultaneously optimal. Extreme pressure,
very clean turbulence, full 3/3 timeframe alignment and
combined condition bonus all triggered at once.
This happens rarely — when it does, it tends to be
the highest quality trade of the week or month.
📋 HOW TO TRADE WITH PLASMA FLOW
Step-by-step — from chart open to trade close
STEP 1 — Open the chart and check REGIME first.
Look at the colored banner at the top of the panel.
LAMINAR FLOW = green light. Anything else = caution or skip.
STEP 2 — Check TURBULENCE.
CALM only for full-size entries. MIXED = half size max.
CHAOTIC = close the chart and find another instrument today.
STEP 3 — Check FLOW BIAS.
Look at the three timeframe arrows. Need 2/3 minimum.
If the arrows conflict (one up, two down or vice versa),
wait for alignment before looking for entries.
STEP 4 — Wait for a signal label on the chart.
▲ LONG appears below price in green.
▼ SHORT appears above price in red.
The label shows star rating and sigma reading.
STEP 5 — Read the sigma on the label.
This tells you how stretched price is right now.
-1.58σ on a LONG means price is 1.58 standard deviations
below VWAP — a meaningful stretch with reversal potential.
Higher absolute value = stronger mean-reversion setup.
STEP 6 — Confirm Quality Score is ★★★ or above.
Below ★★★ = skip or paper trade only.
★★★ to ★★★★★ = real entry with appropriate size.
STEP 7 — Set your stop loss.
For swing trades: just beyond the outer band (2.8σ level).
For scalps and day trades: just beyond the inner band
(1.5σ level on the other side of VWAP).
STEP 8 — Use NEXT TGT as take-profit reference.
The panel shows the nearest VWAP band from current price
with percentage distance. This is your first target.
At minimum take 50% off at NEXT TGT and trail the rest.
STEP 9 — Monitor REGIME while in the trade.
If regime switches to TURBULENT or BREAKOUT after entry,
exit the trade immediately regardless of P&L.
The market conditions that validated your entry no longer
exist. Do not wait for price to confirm — get out.
⚙️ SETTINGS EXPLAINED FOR BEGINNERS
VWAP Window — default 50
This is how many bars are used to calculate the average.
Smaller number = faster, more signals, more noise.
Larger number = slower, fewer but cleaner signals.
Day traders on M15: try 20-30.
Swing traders on H4: try 80-100.
Start with default 50 and only change after you understand
how the indicator behaves on your instrument.
Inner Band σ — default 1.5
This is the trigger line for signals. At 1.5 sigma,
price is moderately stretched — enough to have a reversal
edge but not so extreme that you are always waiting.
Increase to 2.0 if you only want to trade very stretched
extremes. Decrease to 1.2 for more frequent signals.
Outer Band σ — default 2.8
This is the extreme zone. Price reaching here is statistically
rare — less than 5% of the time. Use this as your hard stop
reference and maximum stretch target.
Cooldown Bars — default 5
After a signal fires, no new signal can appear for this
many bars. This prevents the indicator from giving you
3 signals in a row on the same price level.
On M15 increase to 10. On H1 keep at 5.
Reversal Filter — default ON
Requires a real reversal candle (pin bar or engulfing)
for the signal to appear. This removes the majority of
false entries. Keep it ON unless you know what you are doing.
TF 2 and TF 3 — default H1 and H4
The two higher timeframes used for confluence calculation.
For crypto day trading try H4 and D1.
For M5 scalping try M15 and H1.
The default H1 and H4 works well for most forex instruments.
🌍 WHAT MARKETS AND TIMEFRAMES
Plasma Flow works on any liquid market with volume data:
Forex majors and minors — EURUSD, GBPUSD, USDJPY,
AUDUSD, USDCAD, EURGBP and all crosses
Crypto — BTCUSD, ETHUSD, SOLUSD and all major pairs
on Binance, Coinbase, Bybit
Commodities — XAUUSD (Gold), XAGUSD (Silver), USOIL, UKOIL
Indices — SPX500, NAS100, DAX40, FTSE100, NIKKEI
Stocks — Any US or EU stock with meaningful daily volume
Best timeframes by trading style:
Scalping → M5, M15 (set TF2=M15, TF3=H1)
Day trading → M15, H1 (default settings)
Swing trade → H4, D1 (set TF2=D1, TF3=W1, Window=80)
⚠️ RISK DISCLAIMER
Plasma Flow is an analytical tool designed to support
your trading decisions. It does not guarantee profitable
trades. All financial markets carry significant risk of
loss, including your entire account balance.
Use proper position sizing on every trade. Never risk
more than 1-2% of your account on a single signal.
Backtest thoroughly on your specific instrument and
timeframe before using real money. Past signal accuracy
does not guarantee future performance.
Trading is risky. Use this tool as part of a complete
trading plan that includes risk management rules you
follow every single time without exception.
Индикатор
Apex Volatility Flow [Pineify]Apex Volatility Flow ATR Chandelier Oscillator
Apex Volatility Flow converts ATR-based Chandelier behavior into a normalized 0-100 oscillator. It tracks flow above or below 50, and marks ATR contraction when volatility falls below a longer baseline.
Key Features
Chandelier-style direction logic using extremes and ATR distance.
Bullish/bearish oscillator coloring around the 50-line bias filter.
Squeeze dots and alerts for compression and flow crosses.
How It Works
The script begins with Average True Range . A long reference uses recent highs minus ATR times the multiplier, while a short reference uses recent lows plus ATR times the multiplier. The anchors blend close-based and wick extremes to reduce one-bar distortion.
A close above the short reference is bullish; a close below the long reference is bearish.
The active level is tracked, then its range resets when direction changes.
The active level is normalized, smoothed with an SMA, and compared with 50.
A squeeze appears when ATR is below 80% of a longer ATR baseline.
How the Components Work Together
The Chandelier logic supplies trend context, while the oscillator scale helps compare charts. Squeeze dots stay separate because compression can break either way; read them with flow crosses, 50-line retests, and price structure.
Trading Ideas and Insights
Bullish continuation may be worth studying when flow holds above 50 and compression releases.
Bearish crosses below 50 can whipsaw in strong uptrends; follow-through matters.
During extended squeezes, confirm direction with structure, volume, or higher-timeframe trend.
Unique Aspects
It turns Chandelier-style stops into a compact oscillator instead of a price overlay.
Normalization resets on direction changes, avoiding stale values from the prior move.
How to Use
Add the indicator to a liquid market and timeframe.
Use 50 as the main bullish/bearish flow reference.
Treat squeeze dots as compression context, not standalone entries.
Use the built-in alert conditions for crosses or squeeze events.
Customization
Volatility Length (default: 22) - Controls ATR and anchors. Higher values smooth but react later.
ATR Multiplier (default: 3.0) - Sets stop distance. Higher values reduce flips but delay regime changes.
Oscillator Smoothing (default: 4) - Smooths the output. Higher values reduce noise but add lag.
Colors - Adjust bullish, bearish, and squeeze marker colors.
Conclusion
Apex Volatility Flow is for traders who want ATR and Chandelier-style context in one oscillator pane. It can help organize flow bias and compression, but should be combined with structure and risk management. It uses no higher-timeframe security calls; live-bar values may still change before close.
Индикатор
