Swing Reversion Zones Swing Reversion Zones is an adaptive mean-reversion channel built around a smoothed price trajectory. It highlights the first moments when price reaches the upper or lower boundary of the channel.
The indicator is designed to help traders evaluate how far price has moved away from its local smoothed structure and identify areas where a return toward the central trajectory may become possible.
Boundary touches are displayed as semi-transparent bubbles:
🔴 Red bubble — touch of the upper boundary
🟢 Green bubble — touch of the lower boundary
The bubbles show that price has reached a user-defined deviation zone. They are not automatic buy or sell commands.
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🧭 Core Concept
The indicator is based on the concept that price may revert toward a smoothed central trajectory after reaching a sufficiently large deviation from it.
The central line is not calculated as a conventional moving average. Instead, the script uses Gaussian weighting.
Bars located closer to the calculated point receive greater weight, while the influence of more distant observations gradually decreases.
This approach is designed to:
• reduce the influence of short-term market noise
• preserve the natural shape of price movement
• create a smooth central trajectory
• measure deviations relative to local market structure rather than a conventional fixed moving average
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⚙️ How the Channel Is Calculated
The calculation consists of several connected stages.
1. Central Trajectory
For each historical bar, the script calculates a smoothed value of the selected price source.
The weight of each observation is determined by a Gaussian function. The closer an observation is to the point being calculated, the more influence it has on the resulting value.
The Smoothing Length parameter controls the degree of smoothing:
• lower values make the central line more responsive to local price movements
• higher values create a smoother trajectory that reflects broader market structure
2. Base Deviation
After calculating the central trajectory, the script measures the absolute distance between the selected price source and the smoothed line across the processed data.
These distances are averaged to produce the base deviation value.
Unlike channels based on ATR or standard deviation, Swing Reversion Zones uses the mean absolute error between price and the Gaussian-smoothed trajectory.
3. Upper and Lower Boundaries
The distance from the central trajectory to each boundary is calculated as:
Mean Absolute Deviation × Channel Width
The resulting value is:
• added to the central trajectory to create the upper boundary
• subtracted from the central trajectory to create the lower boundary
Both boundaries remain symmetrical around the central line.
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🎛 Manual Channel Width Adjustment
The Channel Width setting allows users to define how sensitive the channel should be.
Lower Channel Width values
• move the boundaries closer to the central line
• produce more frequent price touches
• increase the number of bubbles
• make the indicator more sensitive to smaller deviations
Higher Channel Width values
• create a wider channel
• produce fewer boundary touches
• highlight more substantial price deviations
• reduce the number of bubbles displayed on the chart
This allows the channel to be adapted to:
• a specific trading instrument
• the selected timeframe
• current volatility conditions
• the user’s preferred analytical approach
The script does not impose a universal channel width. The user decides which degree of deviation is meaningful for the selected market.
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🫧 How the Touch Bubbles Are Generated
The indicator does not place a bubble on every bar that remains outside the channel.
Instead, it marks the initial touch of a boundary.
Upper Boundary Touch
A red bubble appears when:
• the current bar’s high reaches or exceeds the upper boundary
• the previous bar’s high was below the previous upper-boundary value
Lower Boundary Touch
A green bubble appears when:
• the current bar’s low reaches or falls below the lower boundary
• the previous bar’s low was above the previous lower-boundary value
This logic highlights the moment when price initially enters a deviation zone. It avoids placing a new bubble on every subsequent bar while price remains beyond the same boundary.
The bubbles are positioned directly on the channel boundary rather than at the candle’s exact high or low. This makes it easier to see which calculated channel level was reached.
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✦ Originality and Practical Usefulness
Gaussian smoothing and mean absolute deviation are established mathematical concepts.
The originality of Swing Reversion Zones does not come from mechanically combining unrelated indicators. It comes from the way its components are integrated into one consistent calculation framework.
Within the script:
A Gaussian-smoothed central trajectory is calculated across the available data.
The channel scale is derived from the actual average distance between price and that trajectory.
The user manually controls the final channel width through a single multiplier.
Touch bubbles are calculated directly from the user-defined channel geometry.
Changing the settings recalculates both the channel boundaries and the historical map of boundary touches.
The bubbles are not produced by a separate signal indicator placed over the channel. Their position and frequency depend entirely on the current Gaussian trajectory, the measured price deviation and the selected Channel Width value.
The result is an interactive analytical tool that allows users to define which price deviations should be considered significant for a particular market and timeframe.
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📌 How to Use the Indicator
After adding the indicator to a chart, begin with the default settings and observe how price interacts with the channel boundaries.
The adjustment process can then be divided into two stages.
Step 1. Adjust the Smoothing
Change Smoothing Length until the central line reflects the type of price structure you want to analyse.
A more responsive central line may be suitable for examining local fluctuations.
A smoother central line may be more appropriate for evaluating deviations from a broader price structure.
Step 2. Adjust the Channel Width
After selecting the desired smoothing level, adjust Channel Width.
The objective is not necessarily to make the boundaries touch every swing high and low. The objective is to define a deviation level that is meaningful for the selected instrument.
A channel that is too narrow may produce many insignificant touches.
A channel that is too wide may produce very few or no touch markers.
Settings should be evaluated separately for different:
• instruments
• asset classes
• timeframes
• volatility regimes
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🔍 Interpreting Boundary Touches
A lower-boundary touch indicates that price has reached the selected negative deviation from the central trajectory.
An upper-boundary touch indicates that price has reached the selected positive deviation.
These areas may be useful for identifying potential mean-reversion conditions. However, reaching a boundary does not guarantee a reversal.
During a strong directional move, price may:
• repeatedly reach the same side of the channel
• continue moving after a bubble appears
• remain outside the boundary for several bars
• return toward the central line only after a further expansion
For this reason, bubbles should be treated as information about the current position of price relative to the channel, not as a complete trading system.
Users may combine the touch markers with additional analysis such as:
• higher-timeframe trend direction
• swing-high and swing-low structure
• support and resistance levels
• candle behaviour following a touch
• volume analysis
• personal risk-management rules
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🛠 Settings
Smoothing Length
Controls the Gaussian kernel width and the degree of smoothing applied to the central trajectory.
Lower values increase responsiveness.
Higher values create stronger smoothing.
Channel Width
Multiplies the mean absolute deviation between price and the central trajectory.
This is the main setting for controlling the distance between the central line and the channel boundaries, as well as the frequency of touch bubbles.
Source
Defines the price series used in the calculation.
The default source is the closing price.
Users may select another available source, including open, high, low, HL2 or other standard price series.
Style
The visual settings allow users to adjust:
• upper-boundary colour
• lower-boundary colour
• line thickness
• bubble transparency
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♻️ Repainting Behaviour
Swing Reversion Zones intentionally uses repainting Gaussian smoothing.
Historical points of the central trajectory are calculated using observations located on both sides of the corresponding point. As new bars become available, previously calculated values may change.
The width of the channel is also based on the average error measured across the processed data. Changes in the available dataset may therefore affect the deviation value and the position of both boundaries.
As new data appears, the following elements may change:
• the central trajectory
• the upper and lower boundaries
• the position of historical bubbles
• the number of historical bubbles
• individual historical touch locations
The indicator is also recalculated when the user changes:
• the trading instrument
• the timeframe
• the price source
• the smoothing length
• the channel width
Repainting is an intentional part of the indicator’s design. It is used to create a smoother historical representation of the price trajectory.
Historical bubbles must not be interpreted as fixed past signals that were necessarily available in exactly the same form in real time.
For the same reason, the visual history of the indicator should not be used to estimate historical profitability or as a substitute for proper strategy testing.
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🔔 Alerts
The script includes two alert conditions:
Upper Channel Touch — price reaches the upper boundary
Lower Channel Touch — price reaches the lower boundary
Alert conditions are calculated relative to the current position of the channel.
To reduce intrabar fluctuations, users may configure alerts to trigger only after the bar closes.
However, waiting for bar close only reduces intrabar changes. It does not make the indicator non-repainting. The historical channel geometry may still change as new data becomes available.
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⚠️ Limitations
Swing Reversion Zones is an analytical indicator, not a trading strategy.
It does not:
• open or close positions
• calculate stop-loss or profit targets
• determine position size
• account for commissions or slippage
• calculate performance statistics
• guarantee that price will return to the central trajectory
• evaluate the quality of each individual trading opportunity
Standard candlestick charts are recommended for interpretation.
On non-standard chart types, OHLC values may be synthetic. As a result, boundary touches may not correspond to actual traded market prices.
Users remain responsible for selecting the indicator settings, applying additional confirmation methods, defining entry and exit rules, and managing risk. 指标
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Adaptive ATR Scalper - Instant & Lock VersionWelcome to Adaptive ATR Scalper, a robust, trend-following scalping strategy designed to capture quick momentum bursts while heavily filtering out noise during chop or post-target consolidation.
This strategy combines an ADX-Adaptive ATR trailing stop with a dual-timeframe dynamic (Main Trend + Fast Trigger) and introduces a unique Smart Lock Mechanism to prevent overtrading.
⚡ Key Features
ADX-Adaptive Multiplier
Most ATR-based indicators (like Supertrend) use a fixed multiplier, which fails when market regimes change. This strategy dynamically switches its ATR multiplier based on ADX.
When ADX is rising (strong trending environment), it uses a tighter multiplier (m1) to secure early entries.
When ADX is falling (weakening trend or chop), it automatically widens the multiplier (m2) to prevent getting chopped out.
Dual-Layer Trend Alignment
Main Trend (Thick Line): Acts as the major filter, keeping you on the right side of the macro direction.
Fast Trigger (Thin Line): Captures micro-swings.
An entry only occurs when both trends align in the same direction.
Smart Lock Mechanism (The Anti-Overtrading Shield)
A classic problem with scalping scripts is that after a successful TP (Take Profit) or SL (Stop Loss), the script immediately re-enters the same trend, often leading to losses.
How it works: As soon as a position closes, the strategy enters a Lock State (visualized by a grey background).
How it unlocks: It will not take another trade until either the Main Trend or the Fast Trigger changes direction. This ensures you only trade fresh momentum.
🛠️ Execution & Exit Rules
Entries: Triggered when Main Trend == Fast Trigger and the script is not locked.
Exits: The strategy utilizes a triple-exit matrix for maximum safety:
Dynamic Trend Exit: If the Fast Trigger reverses against the position, it exits immediately to preserve capital.
Fixed Stop Loss (SL): Percentage-based emergency stop.
Fixed Take Profit (TP): Percentage-based target to lock in gains.
📊 Recommended Settings & Assets
Assets: High-liquidity instruments (Crypto majors like BTC/ETH, Forex majors, or Index Futures like Nasdaq/SPY).
Timeframes: Designed primarily for 1m, 3m, 5m, and 15m charts.
Tip: Adjust the SL/TP percentages based on the volatility of your selected asset and timeframe.
Disclaimer: Backtest thoroughly before deploying live. Past performance does not guarantee future results. 策略
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Prev Day/Week VP Levels MADE BY ADAM
Previous Day & Week Volume Profile Levels (POC / VAH / VAL)
This indicator automatically plots the previous day's and previous week's volume profile levels — Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) — as clean horizontal levels extended to the right of the chart, replicating the look of manually drawn key levels.
How it works
Sessions are defined by a custom reset hour in a chosen timezone rather than midnight exchange time. The default is 19:00 New York (crypto perpetual sessions); set it to 18:00 for CME futures like MNQ/NQ to match the Globex daily open. Weeks run from the Sunday-evening session open through the Friday close.
All profiles are calculated on a separate, configurable calculation timeframe (default 5-minute) through request.security, independent of the chart timeframe. This means the levels are identical on every chart resolution and remain visible even on a 1-minute chart, where the chart itself doesn't hold enough history to cover a full week. Each period's profile distributes bar volume across price rows (default 100), locates the POC as the highest-volume row, and expands the value area around it until it contains the configured share of total volume (default 70%).
Once a day or week completes, its levels are drawn across the current period and stay fixed until the next rollover — the exact levels a trader would mark by hand at the start of each session.
Features
Previous day and previous week POC, VAH, VAL (each toggleable)
Custom session reset hour and timezone (DST-safe)
Configurable calculation timeframe, row count, and value area percentage
Minimalist styling: line color, width, style (solid/dashed/dotted), plain text labels (pdaypoc, pweekvah, etc.) with adjustable offset and size
No repainting: only completed periods are plotted
Intended use
Built for intraday traders who anchor their execution around prior-session value: value area rotations, POC retests, acceptance/rejection outside prior value, and confluence with order flow or options-derived levels. 指标
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CandelaCharts - MTF FVG Alignment📝 Overview
The CandelaCharts - MTF FVG Alignment indicator detects Fair Value Gaps (FVGs) across up to four customizable timeframes and visualises them directly on the chart. A Fair Value Gap is a three-candle pattern where price moved so rapidly that an unfilled area remains between the high of the first candle and the low of the third candle, representing a price imbalance the market often returns to fill.
The core strength of this indicator is Confluence . An alignment signal is generated only when every enabled timeframe shows FVGs in the same direction (all Bullish or all Bearish), giving traders a powerful multi-timeframe confirmation before taking a position.
📦 Features
Four-Timeframe Analysis : Track up to four independent timeframes simultaneously with per-TF toggle and FVG count.
Confluence Alignment : Automatic detection of Bullish or Bearish alignment across all enabled timeframes.
Bias Filter : Filter displayed FVGs to show only Bullish, only Bearish, or both (Neutral).
FVG Mitigation : FVGs are automatically invalidated and removed from the chart once they are fully filled by price action.
Hide Overlapped : Clean up chart clutter by automatically hiding lower-timeframe or older FVGs that overlap with others.
Fibonacci Levels : Optional Fibonacci retracement levels (0.236, 0.382, 0.5, 0.618, 0.65, 0.705, 0.786) drawn inside each FVG with a highlighted Golden Pocket zone (0.705–0.786).
FVG Visuals : Semi-transparent boxes showing active FVGs for each timeframe, with configurable borders and midlines.
Status Dashboard : A clean table showing the current directional status (Bullish / Bearish / None) for each enabled timeframe.
⚙️ Settings
Timeframes
TF 1–4: Each timeframe row has a toggle (show/hide), a timeframe selector, and an FVG count (1–10) controlling how many recent FVGs are displayed for that timeframe. Defaults are 1D, 4H, 1H, and 15m.
Settings
Bias Filter: Filter displayed FVGs by direction — Neutral (show all), Bullish (show only bullish FVGs), or Bearish (show only bearish FVGs).
Bull / Bear Colors: Customise the colours used for bullish and bearish FVG zones.
Border: Toggle the FVG box border and configure its style (Solid, Dotted, Dashed) and width (1–5).
Midline: Toggle the Consequent Encroachment midline inside each FVG and configure its style and width. When enabled, the timeframe label moves outside the box.
Fibonacci: Toggle the drawing of Fibonacci retracement levels inside each FVG, including the highlighted Golden Pocket (0.705–0.786).
Hide Overlapped: Toggle whether to hide overlapping FVGs across different timeframes to keep the chart clean (prioritising higher timeframes).
Dashboard
Show: Toggle the multi-timeframe status dashboard.
Position: Choose the dashboard corner — Top Right, Top Left, Bottom Right, or Bottom Left.
⚡️ Showcase
Multi-Timeframe FVG Boxes
Fibonacci Levels & Golden Pocket
Status Dashboard
🔎 Usage
Trend Identification : Glance at the dashboard to see the current bias of each higher timeframe at a glance.
Confluence : When all enabled timeframes align in the same direction, it provides strong multi-timeframe confluence for a directional trade.
Fibonacci Entries : Use the Fibonacci levels inside each FVG — particularly the Golden Pocket (0.705–0.786) — for precise entries when price retraces into the gap.
Bias Filtering : Set the Bias Filter to Bullish or Bearish to remove counter-trend FVGs and keep the chart focused on your directional thesis.
Execution : Use the alignment as confirmation for your existing strategy. Bullish alignment suggests upward momentum; Bearish alignment suggests downward momentum.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
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Devtrader - Chart Analysis# Devtrader – Chart Analysis
**Devtrader – Chart Analysis** is a multi-layer market-context indicator built to help discretionary traders read liquidity, market structure, session timing, higher-timeframe context, and fair value gaps from one chart.
The indicator follows a narrative-based workflow:
**liquidity location → raid or sweep → reclaim → structure confirmation → continuation or invalidation**
It is designed as an analysis and decision-support tool. It does not place orders, manage positions, promise future price direction, or generate automatic buy and sell signals.
## Main features
- **Liquidity map:** identifies and ranks buy-side liquidity (BSL) and sell-side liquidity (SSL) from confirmed swings, session levels, previous-period levels, and optional higher-timeframe levels.
- **Sweep engine:** evaluates liquidity raids using penetration, reclaim, rejection efficiency, sweep depth, volume, session context, and level quality filters.
- **Market structure:** displays confirmed swing points, Change of Character (CHoCH), Break of Structure (BOS), protected levels, and Inducement (IDM) events.
- **Session context:** tracks Asia, London, and New York windows, with optional developing session highs and lows.
- **Higher-timeframe context:** combines two configurable higher timeframes to provide directional context and inject confirmed HTF liquidity into the active chart.
- **Important market levels:** optionally displays the previous day, week, and month highs/lows, previous close, daily open, and New York midnight open.
- **Fair Value Gaps:** detects bullish and bearish FVGs on the chart timeframe or a configurable higher timeframe, tracks mitigation, and supports static or dynamic rendering.
- **Adaptive rendering:** offers full, compact, and right-side-only level layouts, together with label-clutter controls for cleaner charts.
- **Trader Dashboard:** summarizes current bias, nearby liquidity, the active event, structure state, session timing, and a plain-language contextual read.
## Understanding the dashboard
- **Bias** combines higher-timeframe context, current structure, and protected-level integrity.
- **Liquidity** highlights the most relevant BSL and SSL currently surrounding price.
- **Event** reports the active narrative, such as a pending raid, confirmed sweep, CHoCH, BOS, breakout, or failed reclaim.
- **Structure** describes the current market-structure condition and confirmation stage.
- **Timing** shows the active session context and whether a long or short narrative is being monitored.
- **Read** translates the current conditions into a scenario to monitor. It is contextual guidance, not an entry instruction.
## Suggested workflow
1. Start with the **Bias** and **Structure** rows to understand the broader directional context.
2. Use the liquidity map to identify the BSL or SSL that price may interact with next.
3. Wait for the sweep engine to distinguish a qualified reclaim from a simple breakout or failed rejection.
4. Look for post-sweep confirmation through an internal shift, CHoCH, BOS, or damage to the opposing protected level.
5. Use FVGs, session timing, and important market levels as additional confluence for your own execution and risk plan.
No single label should be used in isolation. A sweep is an event, not automatically a trade, and a directional dashboard read is not a guarantee that price will continue in that direction.
## Key settings
- Use **External Liquidity Only** for a stricter view focused on major, session, and HTF liquidity. Disable it to include more internal structure.
- Choose **Aggressive**, **Balanced**, or **Conservative** market-structure confirmation according to the amount of confirmation you want.
- Adjust the reclaim, rejection, penetration, depth, volume, and timeout controls to suit the instrument and timeframe.
- Configure the session times for the exchange, instrument, and timezone you trade.
- Use the rendering and clutter settings to control how much historical and right-side chart information is displayed.
## Alerts
The script provides alert conditions for:
- confirmed liquidity sweeps;
- market-structure confirmation after an active sweep;
- new bullish and bearish FVGs;
- bullish and bearish FVG mitigation.
For stable alert behavior, consider configuring alerts **Once Per Bar Close**.
## Important behavior
Market-structure swings are based on confirmed pivots. They are plotted on the historical pivot bar only after the required right-side bars have completed, so they intentionally appear with a confirmation delay. Higher-timeframe context uses previous confirmed candles and confirmed pivots without future lookahead. Developing levels, FVGs, and conditions evaluated on the current real-time candle can still change before their source candle closes.
Results will vary by market, timeframe, session configuration, liquidity, and volatility. Users should validate their settings and interpretation through replay, forward observation, and independent testing.
## 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. Trading involves substantial risk, and past market behavior does not guarantee future results. You are solely responsible for your trading decisions and risk management.
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VWAP Suite I EonMetricsVWAP Suite
VWAP Suite plots three independently anchored Volume-Weighted Average Price lines — Session, Weekly and Monthly — with volume-weighted deviation bands and the previous period's VWAP close kept on the chart as a reference level. Everything is computed from first principles at each anchor, so every line resets exactly where its period starts.
🔶 WHAT VWAP IS
VWAP is the average price of the period weighted by how much volume traded at each price. It answers one question: "what is the fair average price actually paid since the anchor?" That is why institutional execution desks benchmark fills against it, and why price so often reacts when it returns there — it is the level where the average participant in the period is at break-even. Above the VWAP the average buyer of the period is in profit; below it, under water.
🔶 WHAT IT DOES
Three anchors — Session (resets each trading day), Weekly and Monthly VWAP, each with its own toggle and color. Intraday traders typically work with Session, swing traders add Weekly, and Monthly serves as the higher-timeframe fair-value reference. Anchors that make no sense on the current chart timeframe (e.g. a Session VWAP on a daily chart) hide themselves automatically.
Deviation bands — ±1σ, ±2σ and optional ±3σ around ONE chosen anchor. The deviation is volume-weighted and anchored to the same period as the VWAP it wraps — not a rolling standard deviation — which is the statistically consistent way to band a VWAP (the same math TradingView's built-in VWAP bands use). ±2σ is the classic stretched-price reference; the optional gradient fill keeps the zones readable without clutter.
Previous VWAP Close — the exact level where the Session (or Weekly) VWAP finished its previous period, drawn flat through the current one. The same idea as previous day high/low, but volume-based: yesterday's fair price is a natural magnet and reaction level for today. Few VWAP tools carry this level forward — it is the reason this suite exists.
🔶 HOW IT IS CALCULATED
From each anchor the script accumulates three sums bar by bar: volume × price, volume, and volume × price². VWAP = Σ(volume × price) / Σ(volume). The band deviation comes from the volume-weighted variance Σ(volume × price²)/Σ(volume) − VWAP². At every period rollover the previous VWAP value is captured first, then the sums reset to zero. Values only update on confirmed data — there is no repainting logic anywhere in the script.
🔶 ALERTS
Seven alert conditions: price crossing each of the three VWAPs, price touching the +2σ or −2σ band, and price crossing the previous Session or previous Week VWAP close.
🔶 HOW TO USE
1. Pick your anchors — Session for intraday, add Weekly for swing context.
2. Choose which anchor carries the deviation bands (Bands Around).
3. Keep Previous Session VWAP on — reactions at yesterday's fair price are the cleanest thing this tool shows.
4. Set alerts on the crossings you actually trade around.
🔶 SETTINGS
Source (price input, hlc3 default) · Anchors (Session / Weekly / Monthly, each with color) · Deviation Bands (anchor selector, ±1σ/±2σ/±3σ toggles, gradient fill) · Previous VWAP Close (Session / Weekly levels).
🔶 HONEST LIMITATIONS
On CFDs and spot forex the data feed reports TICK volume (number of price updates), not true traded volume. VWAP built on tick volume is still the standard practice on those markets and tracks the real one closely on liquid symbols, but you should know what feeds the math. On symbols with no volume data at all the script deliberately shows nothing rather than fake a line. VWAP is a descriptive average, not a prediction — this tool draws levels, it does not generate signals.
Part of the EonMetrics toolset.
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Uptrick: Vector Trail TrendIntroduction
Uptrick: Vector Trail Trend (VTT) is an overlay tool that combines a velocity-projected trend line with an ATR-based adaptive trailing band to identify directional bias and trend reversals. A secondary momentum module layered on top flags statistically extreme momentum conditions that traders can use as dynamic take-profit references within the prevailing trend. The script also includes a configurable overlay presentation and an on-chart dashboard summarizing current trend state.
Originality
This script combines three distinct calculation layers that are not typically merged in a single publication, and each is included for a specific reason.
The first layer builds a trend center from a smoothed moving average of price, then projects that line forward using a smoothed rate of change of the trend center itself, scaled by a user-defined projection factor. This produces a trend reference that leans in the direction of recent acceleration rather than simply lagging price, which is the basis used for the trailing band below it.
The second layer wraps that projected trend center in an ATR-based band that only trails in the favorable direction and resets on a confirmed close beyond the opposite band, similar in mechanism to a ratcheting stop line. This layer is responsible for the directional flips and the up and down signals plotted on the chart.
The third layer is independent of the first two and evaluates RSI relative to its own rolling mean and standard deviation, expressed as a Z-score. This is used to flag when momentum has reached a statistically extreme reading relative to its recent history, which the script surfaces as separate dynamic take-profit markers. This layer exists because trend direction and momentum exhaustion are different pieces of information, and combining them gives traders both a directional read and a separate overextension read without conflating the two into a single signal.
The overlay is user-selectable between a gradient fill between price and the trail, a dual EMA trend ribbon, both together, or neither, so the visual presentation can be adjusted without changing the underlying trend or TP logic.
Features
Velocity-projected trend center using a smoothed moving average and a smoothed rate of change projection
ATR-based adaptive trailing band with directional flip logic
Confirmed-bar trend state calculation to avoid intrabar repainting of the trend flip
Dynamic take-profit engine based on a Z-score of RSI relative to its own rolling mean and standard deviation
Selectable TP marker style, cross or circle
Up and down trend signal labels plotted at the trail
Selectable overlay mode: vector gradient fill, trend ribbon, both, or none
Adjustable gradient and ribbon transparency
Optional candle coloring based on active trend direction
Adjustable trail line width
On-chart dashboard showing trend, signal, Z-score, TP state, distance from trail in ATR units, and active overlay mode
Nine selectable dashboard positions
Seven alert conditions: up signal, down signal, long dynamic TP, short dynamic TP, any trend signal, any dynamic TP, and all VTT signals combined
Inputs
Trend Settings: source, trend length, velocity smoothing length, vector projection factor.
Trail Settings: ATR length, ATR multiplier.
Dynamic TP Settings: show/hide dynamic TPs, TP marker style, momentum (RSI) length, Z-score length, TP extreme level threshold.
Overlay: overlay style selection, gradient transparency, ribbon fast length, ribbon slow length, ribbon transparency.
Visuals: show/hide up and down signals, candle coloring toggle, trail width.
Dashboard: show/hide dashboard, dashboard position.
How It Works / How to Use
The trend center is calculated from a moving average of the chosen source, then projected forward using a smoothed measure of its own rate of change. An ATR-based band is built around this projected line and only moves in the direction favorable to the current trend, flipping only on a confirmed close beyond the opposite band. This flip is what produces the up and down signals and the trend color change.
Once a trend is established, the script tracks RSI relative to its own recent mean and standard deviation. When this Z-score reaches the user-defined extreme level and then crosses back toward normal, a dynamic take-profit marker is plotted for the active trend, using the opposite color for visual distinction, indicating that momentum has cooled from an extreme reading.
Traders can use the trail flips for directional bias and entries, and the dynamic TP markers as a secondary reference for potential exhaustion points within that trend. The overlay mode, transparency, candle coloring, and dashboard are all cosmetic and can be adjusted without affecting the underlying calculations.
Conclusion
Uptrick: Vector Trail Trend combines a velocity-projected trend line, an adaptive ATR trailing band, and a momentum Z-score take-profit layer into a single overlay tool, giving traders both a directional trend read and a separate momentum-exhaustion reference from one indicator.
Disclaimer
This script is provided for informational and educational purposes only and does not constitute financial advice. Past performance, whether shown historically or implied through the script's logic, does not guarantee future results. Always perform your own due diligence and risk management before making trading decisions.
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1-Minute Session Volatility Dashboard v4JT Session Volatility Dashboard (Open Source)
The JT Session Volatility Dashboard is a lightweight utility designed for traders who want to quickly understand the largest 1-minute price movements during the current trading session.
Unlike ATR or volatility indicators that measure averages, this indicator focuses on the largest actual 1-minute impulse candle of the active session. This provides a practical benchmark for evaluating today's volatility and setting realistic expectations for pullbacks, stops, and trade management.
The indicator performs all calculations using 1-minute data, regardless of the timeframe of your chart. Whether you're viewing a 1-minute, 5-minute, 15-minute, hourly, or daily chart, the dashboard continues to analyze the underlying 1-minute candles.
Features
Calculates the Largest 1-Minute Candle of the current session.
Displays the Largest Bullish 1-Minute Candle.
Displays the Largest Bearish 1-Minute Candle.
Calculates 50% and 25% retracement values of the largest candle for quick reference.
Automatically detects and displays the current trading session:
RTH (Regular Trading Hours)
AS (Asia Session)
LO (London Open)
Closed
User-configurable session time ranges.
Dashboard can be positioned anywhere on the chart.
Adjustable dashboard text size.
Works on all symbols including:
NQ
MNQ
ES
MES
and virtually any other market available on TradingView.
Why I Built This
I wanted a simple way to answer a question I ask every trading day:
"What is the largest 1-minute candle we've had during this session?"
Knowing this provides an immediate sense of the market's current volatility. Instead of relying solely on ATR, this dashboard shows the largest real impulse move of the day, making it easier to judge whether current price action is relatively quiet or unusually aggressive.
The 25% and 50% reference levels are included because they often serve as useful benchmarks for evaluating pullbacks after large impulsive moves.
Perfect For
Futures Traders
Scalpers
Day Traders
ICT Traders
Order Flow Traders
Bookmap Users
Price Action Traders
Open Source
This script is 100% Open Source.
Feel free to:
Study the code
Modify it
Improve it
Build upon it for your own trading
If you make enhancements that benefit the community, I encourage you to publish your own version or share your improvements.
Feedback
If you find this indicator useful, please consider:
Giving it a 👍 Like
Marking it as a Favorite
Leaving feedback or suggestions for future improvements
I hope it helps you better understand session volatility and improve your trading decisions.
Happy Trading! 指标
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jrhTrendRev4EMAHow it Works
# jrhTrendRev4EMA — Documentation
A trend reversal indicator built around 4 fully configurable EMAs, producing two independent signal types: a **Reversal Signal** (confirmed crossover between two chosen EMAs) and a **Trend Cross Signal** (simple crossover between two chosen EMAs). This is an updated version of the original `jrhTrendRev`, which used fixed Fast/Slow/Long EMA roles — this version replaces that with 4 general-purpose EMAs you assign to either signal type yourself.
---
## How the indicator is structured
There are two independent signal engines running side by side:
1. **Reversal Signal** — the original Fast/Slow crossover logic, with a 2-bar confirmation filter to reduce whipsaw. Default sources: EMA 1 vs EMA 2.
2. **Trend Cross Signal** — the original 20/200-style crossover logic, no confirmation filter (fires immediately on cross). Default sources: EMA 2 vs EMA 4.
Both signal engines pull their EMA values from the same pool of 4 EMAs you configure in the first input group — you choose which EMA feeds "Source A" and "Source B" for each signal independently, via dropdowns.
---
## Parameter Group: EMAs
Four identical rows, each controlling one EMA line.
| Parameter | Type | Default | What it does |
|---|---|---|---|
| Show (checkbox) | Toggle | On (all 4) | Shows/hides that EMA's plotted line on the chart. Turning it off does **not** remove it from being usable as a signal source — it just hides the visual line. |
| Length | Integer | EMA1: 10, EMA2: 20, EMA3: 50, EMA4: 200 | The EMA period. Shorter = more reactive/closer to price. Longer = smoother/slower. |
| Color | Color picker | EMA1: Blue, EMA2: Red, EMA3: Yellow, EMA4: Orange | The plotted line's color. Purely visual — has no effect on signal logic. |
**Example:** If you want a 9/21 EMA pair instead of the default 10/20, just change EMA1's Length to 9 and EMA2's Length to 21. Both signal engines automatically use the new values on their next recalculation — no need to touch the signal source dropdowns, since they reference the EMA *slot* (EMA 1, EMA 2, etc.), not the length itself.
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jrhMultORBHow it works
jrhMultiORB — Info Table Reference Guide
A detailed explanation of every metric in the Info Table, what it measures, how to read the color coding, and how it connects to the Opening Range Breakout logic in this indicator.
ADX (Average Directional Index)
What it measures: Trend strength — how strong the current trend is, regardless of direction. It does not tell you whether price is going up or down, only how much conviction is behind whatever direction is currently winning.
How it's built: Derived from the same underlying calculation as +DI/−DI (see below), smoothed over the ADX Smoothing input (default 14). It reflects the spread between +DI and
−DI — the wider that spread, the higher ADX climbs.
How to read the value:
Range Meaning
Below 20 Weak or no trend — ranging, choppy conditions
20–25 A trend may be starting to build
Above 25 Strong trend in place
Above 50 Very strong trend (can also signal exhaustion at extremes)
Color coding: Red below 20, orange 20–25, green above 25 — based purely on the value, not its direction.
The arrow (▲/▼): Separate from the color. It compares this bar's ADX to the previous bar's ADX. ▲ means ADX is rising (trend strength building). ▼ means ADX is falling (trend strength fading) — even if the value is still technically "strong" by the color threshold. Strength and trajectory are independent: ADX can be green (strong) and falling (▼) at the same time, meaning a strong trend that is losing momentum.
Why it matters for your breakouts: A breakout that occurs while ADX is low or falling is more likely to be a low-conviction move that fails or reverses. A breakout with ADX rising through 20–25 has more evidence of real directional pressure behind it. This is what the optional "Filter Breakouts by ADX Strength" input (in the Breakout Signals group) uses to gate signals if you enable it.
+DI / −DI (Plus/Minus Directional Indicators)
What they measure: Which side — buyers or sellers — currently has the edge in recent price action.
• +DI (Plus Directional Indicator) = buying/upward pressure. Higher +DI means more of the recent directional movement has been to the upside.
• −DI (Minus Directional Indicator) = selling/downward pressure. Higher −DI means more of the recent directional movement has been to the downside.
Easy way to remember: the sign matches the direction — "plus" for up, "minus" for down. It has nothing to do with who is "buying" vs "selling" as market participants; it's purely about which direction has controlled more of the recent range.
How it's built: Both are calculated over the ADX/DMI Length input (default 14 bars) — a rolling read on directional movement, not a single-bar reading.
Color coding: Green (lime) when +DI is currently higher than −DI (buyers have the edge). Red when −DI is higher than +DI (sellers have the edge).
Reading it alongside ADX: +DI/−DI tells you which direction currently has the edge; ADX tells you how strong that edge is and whether it's building or fading. A market can show −DI leading (sellers ahead) while ADX is falling — this usually reads as a corrective pullback rather than a fresh, strengthening downtrend. If both −DI is leading AND ADX is rising, that's a more convincing case for real downside continuation.
RSI (Relative Strength Index)
What it measures: Momentum and speed — how fast and how far price has moved recently, on a 0–100 scale.
How to read the value:
Range Meaning
Above 70 Overbought — price has moved up quickly, may be due for a pause or pullback
30–70 Neutral zone
Below 30 Oversold — price has moved down quickly, may be due for a bounce
Color coding: Red above 70, green below 30, white in between.
Why it matters for your setup: RSI divergence (price makes a new high but RSI does not) near your TP target levels is one of the better early warnings that a reversal may be approaching at that level. It's also useful as a quick gut-check on whether a breakout is happening into already-stretched conditions (RSI near 70/30) versus fresh momentum from neutral territory.
ATR (Average True Range)
What it measures: The average size of price bars over the ATR Length input (default 14 bars) — essentially, "how big is a normal candle right now" in price units.
Why it's shown: ATR by itself isn't a directional signal — it's a yardstick. It gives context for judging whether the current Opening Range, or any individual candle, is wide or narrow relative to recent typical behavior. It's also the reference value used by two other things in this indicator: the Bar Range/ATR row below, and the optional Marker Offset (x ATR) setting that spaces breakout/retest labels away from the candle wicks.
Color coding: None — it's a raw reference number, not a signal.
Bar Range/ATR
What it measures: The current candle's total range (high − low) divided by ATR. In plain terms: how big is this specific candle compared to what's been normal lately.
How to read the value:
Ratio Meaning
~1.0x An average, ordinary candle
1.3x–2.0x Elevated — larger than normal, worth attention
2.0x+ Outsized/climactic candle
Color coding: Gray below 1.3x, orange 1.3x–2.0x, red at 2.0x and above.
Why this flags exhaustion, not just "a big move": A large candle represents a large amount of buying or selling effort concentrated into one bar. That effort has to be "paid for" — an outsized candle often absorbs several normal candles' worth of pressure in a single move, which can exhaust the pool of willing buyers or sellers in one shot. This is why breakouts or retests that occur on outsized-ATR candles are statistically more prone to failing or reversing shortly after — the move may already be running on borrowed momentum rather than the start of a durable trend.
Day Bias
What it measures: The directional bias of the current session's Opening Range midpoint compared to the previous session's Opening Range midpoint.
How it's determined: If this session's OR midpoint is higher than the prior session's, bias reads Bullish. If lower, Bearish. If unchanged, Neutral.
Color coding: Green for Bullish, red for Bearish, gray for Neutral.
Why it matters: This is the same value the optional "Daily Bias" breakout filter (in the Breakout Signals group) uses internally — when enabled, that filter withholds breakout signals that go against this bias until price reaches Target 1. Even if you don't use that filter, the Day Bias row gives you a quick read on the higher-timeframe lean without needing to compare sessions manually.
Dist. from ORH / Dist. from ORL
What they measure: How far current price is, as a percentage, from the Opening Range High (ORH) and Opening Range Low (ORL) — the two boundary lines of the shaded Opening Range box on the chart.
How to read it: A positive percentage means price is currently trading above that level. A negative percentage means price is trading below it. Since ORH sits above ORL, it's normal to see a small positive number on ORH and a larger positive number on ORL when price is inside or just above the range — both are measuring distance from the same current price to two different fixed reference levels.
Color coding: None — shown as plain values.
Why it matters: Gives you an at-a-glance read on how extended price is from the range without needing to eyeball the chart. It's especially useful right after a breakout, to gauge in real time whether price is holding well above/below the broken level or drifting back toward a retest.
Summary
1. Start with ADX — is there a real trend right now, and is it strengthening or fading?
2. Check +DI/−DI — which side currently has the edge?
3. Cross-check with RSI — is that move already stretched (near 70/30), or does it have room to run?
4. Glance at Bar Range/ATR — is the most recent candle abnormally large? If so, treat any breakout/retest on it with extra skepticism.
5. Confirm with Day Bias — does the higher-timeframe lean agree with what the shorter-term readings are showing?
6. Use Dist. from ORH/ORL — for a quick sense of how far price has traveled from the original range boundaries.
No single row is meant to be read in isolation — the value of the table is in how the rows confirm or contradict each other.
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ZIZO BTC Power LawZIZO BTC Power Law — Streamlined Edition
A fixed power law channel for Bitcoin. No refitting. No drift. No statistical bands. Every line on the chart is a number you can check for yourself.
The model
Bitcoin's long-run price has tracked a power law of time since the Genesis Block. This script draws that law and nothing else:
Price = A × (days since Genesis)^n
A = 3.21 × 10⁻¹⁷
n = 5.688
Genesis = 3 January 2009
These coefficients are fixed. They do not recalibrate as new candles print. That is deliberate. A model that constantly refits itself can never be wrong, and so can never be verified. This one holds still, which means you can test it against price and judge it honestly.
The bands
The centre line is fair value — the raw model output (1.000×). Every other band is a chosen multiple of fair value, not a standard deviation or a curve fit:
Cycle Top — 2.627× fair value
Fair Value 2 — 1.747×
PL Median (fair value) — 1.000×
Fair Value 1 — 0.667×
Floor — 0.420×
Zones between the bands are shaded low-to-high so the chart reads at a glance.
Also on the chart
200-day SMA, coloured green above / red below, as a tactical trend layer over the macro model.
Halving markers. H1–H4 are the four confirmed halvings, verified against their calendar dates. H5+ is projected from the last confirmed halving plus a configurable interval (default 1,461 days). No cycle dates are hardcoded beyond the four that have actually happened.
Forward projection lines at 1, 2, 3 and 5 years, with fair-value and cycle-top price labels. This is model extrapolation, not a forecast.
Info table — every band price, live deviation from fair value and from the 200 SMA, log-space channel position (0 = floor, 1 = top), day-count streaks above/below each key line, and forward targets.
How to read it
Channel position is the quick summary. Near 1.0, price sits at the historical top of the band and risk is high. Near 0.0, price sits at the floor and value is high. The 200 SMA tells you the current trend; the power law tells you where that trend sits inside the long cycle.
Alerts
Crossings of the Cycle Top, Floor, PL Median, Fair Value 1/2, and the 200 SMA — up and down.
Design principles
Fixed anchors over dynamic models. Chosen multipliers over fitted sigma bands. Self-extending halvings over hardcoded dates. Every number on screen is a deliberate value you can audit.
Notes
This is a research and analysis tool, not financial advice. Power law fair value is a long-horizon reference, not a price prediction. Past cycle structure does not guarantee future structure. Verify everything before you act on it.
License: MPL 2.0. Built by PseudoNakamoto21.
Hard money. Don't trust. Verify.
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