Modified ATR Indicator [KL]Modified Average True Range (ATR) Indicator
This indicator displays the ATR with relative highs and relative lows statistically determined.
What is ATR:
To know what ATR is, we need to understand what a True Range (TR) is.
- TR at a given bar is the highest distance between points: a) High vs low, b) High vs Close, and c) Low vs Close.
- ATR is the moving average of TRs over a predefined lookback period; 14 is the most commonly used.
- ATR can be mathematically expressed as:
Why is ATR Important
ATR often used to measure volatility; high volatility is indicated by high ATR, vice versa for low. This is a versatile tool allowing traders to determine entry/exit points, as well as the size of stop losses and when to take profits relative to it.
This is an opinion: Through observations, I have noticed that ATR can also indirectly tell us the levels of relative volume. This intuitively makes sense because in order to increase length of TR, high amounts of capital inflow/outflow is required (graphically speaking, high volume is required in order to make lengths of candle sticks longer). The relationship between ATR and relative volume should hold unless the market is illiquid to the extreme that there is no relationship between volume and price.
That said, knowing the relative lows/highs of ATR is very useful. It can be interpreted as:
- Relative high = high volatility, usually during sell offs
- Relative low = decreasing volume, could indicate price consolidation
Instead of arbitrarily determining whether ATR is high/low, this indicator will determine relative highs and relative lows using a simple statistical model.
How relative high/low is determined by this model
This indicator applies two-tailed hypothesis testing to test whether ATR (ie. say lookback of 14) has greatly deviated from a larger sample size (ie. lookback of 50). Assuming ATR is normally distributed and variance is known, then test statistic (z) can be used to determine whether ATR14 is within the critical area under Null Hypothesis: ATR14 == ATR50. If z falls below/above the left/right critical values (ie. 1.645 for a 90% confidence interval), then this is shown by the indicator through using different colors to plot the ATR line.
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Volume X-ray [LucF]█ OVERVIEW
This tool analyzes the relative size of volume reported on intraday vs EOD (end of day) data feeds on historical bars. If you use volume data to make trading decisions, it can help you improve your understanding of its nature and quality, which is especially important if you trade on intraday timeframes.
I often mention, when discussing volume analysis, how it's important for traders to understand the volume data they are using: where it originates, what it includes and does not include. By helping you spot sizeable differences between volume reported on intraday and EOD data feeds for any given instrument, "Volume X-ray" can point you to instruments where you might want to research the causes of the difference.
█ CONCEPTS
The information used to build a chart's historical bars originates from data providers (exchanges, brokers, etc.) who often maintain distinct historical feeds for intraday and EOD timeframes. How volume data is assembled for intraday and EOD feeds varies with instruments, brokers and exchanges. Variations between the two feeds — or their absence — can be due to how instruments are traded in a particular sector and/or the volume reporting policy for the feeds you are using. Instruments from crypto and forex markets, for example, will often display similar volume on both feeds. Stocks will often display variations because block trades or other types of trades may not be included in their intraday volume data. Futures will also typically display variations. It is even possible that volume from different feeds may not be of the same nature, as you can get trade volume (market volume) on one feed and tick volume (transaction counts) on another. You will sometimes be able to find the details of what different feeds contain from the technical information provided by exchanges/brokers on their feeds. This is an example for the NASDAQ feeds . Once you determine which feeds you are using, you can look for the reporting specs for that feed. This is all research you will need to do on your own; "Volume X-ray" will not help you with that part.
You may elect to forego the deep dive in feed information and simply rely on the figure the indicator will calculate for the instruments you trade. One simple — and unproven — way to interpret "Volume X-ray" values is to infer that instruments with larger percentages of intraday/EOD volume ratios are more "democratic" because at intraday timeframes, you are seeing a greater proportion of the actual traded volume for the instrument. This could conceivably lead one to conclude that such volume data is more reliable than on an instrument where intraday volume accounts for only 3% of EOD volume, let's say.
Note that as intraday vs EOD variations exist for historical bars on some instruments, there will typically also be differences between the realtime feeds used on intraday vs 1D or greater timeframes for those same assets. Realtime reporting rules will often be different from historical feed reporting rules, so variations between realtime feeds will often be different from the variations between historical feeds for the same instrument. A deep dive in reporting rules will quickly reveal what a jungle they are for some instruments, yet it is the only way to really understand the volume information our charts display.
█ HOW TO USE IT
The script is very simple and has no inputs. Just add it to 1D charts and it will calculate the proportion of volume reported on the intraday feed over the EOD volume. The plots show the daily values for both volumes: the teal area is the EOD volume, the orange line is the intraday volume. A value representing the average, cumulative intraday/EOD volume percentage for the chart is displayed in the upper-right corner. Its background color changes with the percentage, with brightness levels proportional to the percentage for both the bull color (% >= 50) or the bear color (% < 50). When abnormal conditions are detected, such as missing volume of one kind or the other, a yellow background is used.
Daily and cumulative values are displayed in indicator values and the Data Window.
The indicator loads in a pane, but you can also use it in overlay mode by moving it on the chart with "Move to" in the script's "More" menu, and disabling the plot display from the "Settings/Style" tab.
█ LIMITATIONS
• The script will not run on timeframes >1D because it cannot produce useful values on them.
• The calculation of the cumulative average will vary on different intraday timeframes because of the varying number of days covered by the dataset.
Variations can also occur because of irregularities in reported volume data. That is the reason I recommend using it on 1D charts.
• The script only calculates on historical bars because in real time there is no distinction between intraday and EOD feeds.
• You will see plenty of special cases if you use the indicator on a variety of instruments:
• Some instruments have no intraday volume, while on others it's the opposite.
• Missing information will sometimes appear here and there on datasets.
• Some instruments have higher intraday than EOD volume.
Please do not ask me the reasons for these anomalies; it's your responsibility to find them. I supply a tool that will spot the anomalies for you — nothing more.
█ FOR PINE CODERS
• This script uses a little-known feature of request.security() , which allows us to specify `"1440"` for the `timeframe` argument.
When you do, data from the 1min intrabars of the historical intraday feed is aggregated over one day, as opposed to the usual EOD feed used with `"D"`.
• I use gaps on my request.security() calls. This is useful because at intraday timeframes I can cumulate non- na values only.
• I use fixnan() on some values. For those who don't know about it yet, it eliminates na values from a series, just like not using gaps will do in a request.security() call.
• I like how the new switch structure makes for more readable code than equivalent if structures.
• I wrote my script using the revised recommendations in the Style Guide from the Pine v5 User Manual.
• I use the new runtime.error() to throw an error when the script user tries to use a timeframe >1D.
Why? Because then, my request.security() calls would be returning values from the last 1D intrabar of the dilation of the, let's say, 1W chart bar.
This of course would be of no use whatsoever — and misleading. I encourage all Pine coders fetching HTF data to protect their script users in the same way.
As tool builders, it is our responsibility to shield unsuspecting users of our scripts from contexts where our calcs produce invalid results.
• While we're on the subject of accessing intrabar timeframes, I will add this to the intention of coders falling victim to what appears to be
a new misconception where the mere fact of using intrabar timeframes with request.security() is believed to provide some sort of edge.
This is a fallacy unless you are sending down functions specifically designed to mine values from request.security() 's intrabar context.
These coders do not seem to realize that:
• They are only retrieving information from the last intrabar of the chart bar.
• The already flawed behavior of their scripts on historical bars will not improve on realtime bars. It will actually worsen because in real time,
intrabars are not yet ordered sequentially as they are on historical bars.
• Alerts or strategy orders using intrabar information acquired through request.security() will be using flawed logic and data most of the time.
The situation reminds me of the mania where using Heikin-Ashi charts to backtest was all the rage because it produced magnificent — and flawed — results.
Trading is difficult enough when doing the right things; I hate to see traders infected by lethal beliefs.
Strive to sharpen your "herd immunity", as Lionel Shriver calls it. She also writes: "Be leery of orthodoxy. Hold back from shared cultural enthusiasms."
Be your own trader.
█ THANKS
This indicator would not exist without the invaluable insights from Tim, a member of the Pine team. Thanks Tim!
Relative StrengthThis indicator is called Relative Strength and is no way related to RSI ( Relative strength indicator).
It is simply a ratio of asset A to asset B plotted. Usually it is used to look for strength vs a particular index. Since it is a ratio, all the trendlines work on it. The default index is NIFTY. You can change it any index/script you want to compare:
1. Script vs Index
2. Index vs Index
Market BuySell RatioA script using 1m small candle size (configurable) to compute the volume of buy (up) vs sell (down) candles (instead of actual market buy vs sell orders which are not available in pine script).
It then plots the buy vs sell ratio as an oscillator below the cart.
This gives traders an idea of current order flow in the market.
To compute the small candles this script uses the "Smart Volume" script which can be found here:
Luxy trend & Momentum Indicators Suit V2Luxy Trend & Momentum Indicator Suite V2
The Luxy Trend & Momentum Suite V2 is a multi-purpose technical analysis tool designed to help traders quickly identify high-probability trend-following and momentum-based entries across timeframes.
This tool combines the most battle-tested market filters (EMAs, VWAP, MACD, ZLSMA, Supertrend, UT Bot, Volume/ADX/RSI filters) into a unified signal framework — backed by an optional Bias Table that displays alignment across methods and timeframes.
BACKGROUND — ABOUT THIS METHOD
This Indicators Suite is based on momentum-trend alignment , a trading methodology that:
* Confirms trend structure using moving averages (EMA crossovers & price vs EMA-200),
* Validates trend strength using MACD separation, volume pressure, and ADX confirmation,
* Confirms timing using momentum oscillators (RSI pullbacks), VWAP positioning, and trend filters,
* Optionally delays entries using the UT Bot trailing confirmation or Supertrend .
It's a multi-layered filtering helps reduce false signals, especially in choppy conditions.
USAGE
This indicator is best suited for:
Intraday trend trading (scalping or day trading),
Swing trading based on HTF confirmation (1D/1W),
Combining bias + technical signal + volume + price context for cleaner entries.
It is especially powerful on assets with well-defined structure (e.g., crypto, indices, high-volume stocks).
Signal Labels
The script plots `LONG` (green) or `SHORT` (red) labels when all your configured filters align.
✅ To use these labels effectively:
Only take LONG signals when the bias table shows green ("BULLISH"),
Only take SHORT when the bias table shows red ("BEARISH"),
Avoid signals on NEUTRAL bias (gray), or consider smaller positions.
Bias Table Panel
The indicator features a compact Bias summary table , showing the current directional bias from:
Timeframe trends (1H, 4H, 1D)
Indicator states (EMA cross, EMA200, VWAP, MACD, ZLSMA, UT Bot, Supertrend)
Each cell is color-coded:
🟢 Green = Bullish
🔴 Red = Bearish
⚪ Gray = Neutral
Trend Filters
These are the primary trend components:
EMA Short vs Long : Fast/Slow structure
EMA-200 : Long-term bias
ZLSMA : Zero-lag regression slope
Supertrend : Dynamic trendline with noise-filtering
UT Bot : ATR-based trailing signal with optional filters (swing, %change, delay)
Momentum & Entry Filters
The indicator offers several modular filters to refine entry signals:
✅ MACD Separation : Requires a minimum spread between MACD and Signal line (adjustable in ATR units).
✅ VWAP Filter : Confirms that price is above/below anchored VWAP.
✅ RSI Pullback Zone : Only triggers signals when RSI is between configured pullback ranges.
✅ Volume Strength : Only confirms signals when current volume is above SMA × factor (e.g. 1.2×).
✅ ADX/DI Filter : Enforces trend strength requirements based on ADX, DI+ and DI-.
RECOMMENDED WORKFLOWS
🔹 Intraday Trend Trading
Primary TF: "1H"
Confirmation: "4H"
Bias method: EMA(20/50) or ZLSMA
Lookback: 5 bars
VWAP: Session anchor
UT Bot: Enabled with 1.3 sensitivity, ATR=10
🔹 Swing Trading
Primary TF: "1D"
Confirmation: "1W"
Bias method: EMA(20/50) or MACD
Lookback: 10–20
VWAP: Weekly or Monthly
UT Bot: Disabled or conservative (1.7 key, ATR=14)
🔹 Position Trading
Primary: "1W"
Confirmation: "1M"
Bias method: EMA(50/200)
Filters: Strong MACD + Volume + ADX
UT: Disabled
SETTINGS
You can customize:
All EMA lengths (short, long, very long)
MACD periods and buffer thresholds
VWAP anchor and bands mode (Std Dev or %)
ZLSMA length and offset
UT Bot sensitivity, ATR, and filters
Supertrend ATR logic and neutral bars
Volume, ADX, RSI, and Donchian breakouts
Table text size, position, and visibility
Each input includes tooltips with suggested ranges and explanations.
🔶 LIMITATIONS
This is an **indicator**, not a strategy. It does **not place orders**.
UT Bot and Bias alignment work better on assets with structure and volume.
Repainting is avoided by using bar close logic where possible.
Corporate-event VWAPs (Earnings, Dividends) depend on data availability.
Always backtest , adjust filters per asset, and confirm entries with price action and context.
📧 Feedback & improvement requests:
UDVR + OBV Combo — MTF (v6)The UDVR + OBV Combo is a multi-timeframe volume analysis tool that blends the Up/Down Volume Ratio with a normalized On-Balance Volume signal. It highlights when accumulation or distribution truly supports price action, adds higher-timeframe context, and shades the background when both indicators align. Use it to confirm breakouts, spot divergences, and filter trades with the backing of real volume flows.
1.Up/Down Volume Ratio (UDVR)
•Compares the rolling sum of up-volume (bars where price closed higher) vs down-volume (bars where price closed lower).
•A ratio > 1.0 = more accumulation (bullish pressure).
•A ratio < 1.0 = more distribution (bearish pressure).
•Optional histogram shows deviations from the 1.0 baseline.
•Customizable handling of equal closes (count as up, down, split, or ignore).
•Configurable lookback length and optional EMA smoothing.
2. On-Balance Volume (OBV)
•Classic cumulative OBV implemented natively (adds volume on up-bars, subtracts on down-bars).
•Normalized with a z-score so it can be compared across different symbols/timeframes.
•Includes an EMA signal line for slope detection.
•Alignment of OBV vs its EMA highlights rising or waning participation.
3. Multi-Timeframe Support
•Both UDVR and OBV can be plotted from a higher timeframe (HTF) (e.g. Daily UDVR shown on a 1h chart).
•Lets you see big-money accumulation/distribution while trading intraday.
•Shaded background when current TF and HTF agree (both bullish or both bearish).
How to read it
• Bullish confirmation = UDVR > 1 (accumulation) and OBV above EMA (rising participation).
• Bearish confirmation = UDVR < 1 (distribution) and OBV below EMA (falling participation).
• Mixed signals (e.g. UDVR > 1 but OBV falling) = caution; price may lack conviction.
• Divergences : If price makes a new high but OBV or UDVR does not, it’s a warning of weakening trend.
• Higher timeframe context : set HTF = Daily or Weekly and watch how short-term signals align with institutional flows. A long trade on the 15m chart is stronger when Daily UDVR is also above 1.
Inputs
•UDVR Lookback: number of bars for rolling volume sums.
•Smoothing EMA: smooths UDVR for stability.
•Equal Close Handling: decide how equal closes affect UDVR.
•Signal Band: optional UDVR extreme thresholds.
•Show Histogram: toggle UDVR histogram around baseline.
•Higher Timeframe UDVR: overlay Daily/Weekly UDVR on lower timeframe charts.
•OBV EMA length: slope proxy for normalized OBV.
•OBV Normalization window: controls z-score sensitivity.
•Higher Timeframe OBV: overlay higher timeframe OBV.
Alerts
•UDVR Bullish/Bearish cross at the 1.0 baseline.
•OBV slope up/down when OBV crosses its EMA.
•Alignment signals when UDVR and OBV agree (both confirm bullish or bearish conditions).
Why it’s useful
•Combines trend, momentum, and participation in one place.
•Helps avoid false breakouts by checking if volume supports the move.
•Lets you spot accumulation/distribution shifts before they show up in price.
•Gives a higher timeframe context so you’re not trading against the “big picture.”
Once applied, the indicator creates a dedicated pane below price with the following components:
UDVR Line (green/red)
• Green when UDVR > 1.0 (more up-volume than down-volume → accumulation).
• Red when UDVR < 1.0 (more down-volume → distribution).
UDVR Baseline and Bands
• Grey baseline at 1.0 = balance between buying and selling volume.
• Optional upper/lower bands (default 1.5 and 0.67) highlight extreme imbalances.
• Shaded areas between baseline and bands provide visual context for strength/weakness.
UDVR Histogram (optional)
• Columns around the baseline showing (UDVR – 1.0).
• Quick way to gauge how far above/below balance the ratio is.
Higher-Timeframe UDVR (teal line)
• Overlays the UDVR from a higher timeframe (e.g. Daily) on your intraday chart.
• Lets you see whether institutional flows support your shorter-term signals.
OBV Normalized (blue/orange line)
• Classic OBV, but normalized with a z-score so it stays readable across assets.
• Blue when OBV is above its EMA (rising participation).
• Orange when below its EMA (waning participation).
OBV EMA (grey line)
• Signal line showing the slope of OBV.
• Crosses between OBV and this line mark shifts in participation.
Higher-Timeframe OBV (purple line, optional)
• Plots OBV from a higher timeframe for additional context.
Background Shading
• Light green = both UDVR > 1 and OBV > OBV-EMA (bullish alignment).
• Light red = both UDVR < 1 and OBV < OBV-EMA (bearish alignment).
PumpC PAC & MAsPumpC – PAC & MAs (Open Source)
A complete Price Action Candles (PAC) toolkit combining classical price action patterns (Fair Value Gaps, Inside Bars, Hammers, Inverted Hammers, and Volume Imbalances) with a flexible Moving Averages (MAs) module and an advanced bar-coloring system.
This script highlights supply/demand inefficiencies and micro-patterns with forward-extending boxes, recolors zones when mitigated, qualifies patterns with a global High-Volume filter, and ships with ready-to-use alerts. It works across intraday through swing trading on any market (e.g., NASDAQ:QQQ , $CME:ES1!, FX:EURUSD , BITSTAMP:BTCUSD ).
This is an open-source script. The description is detailed so users understand what the script does, how it works, and how to use it. It makes no performance claims and does not provide trade advice.
Acknowledgment & Credits
This script originates from the structural and box-handling logic found in the Super OrderBlock / FVG / BoS Tools by makuchaku & eFe. Their pioneering framework provided the base methods for managing arrays of boxes, extending zones forward, and recoloring once mitigated.
Building on that foundation, I have substantially expanded and adapted the code to create a unified Price Action Candles toolkit . This includes Al Brooks–inspired PAC logic, additional patterns like Inside Bars, Hammers, Inverted Hammers, and the new Volume Imbalance module, along with strong-bar coloring, close-threshold detection, a flexible global High-Volume filter, and a multi-timeframe Moving Averages system.
What it does
Fair Value Gaps (FVG) : Detects 3-bar displacement gaps, plots forward-extending boxes, and optionally recolors them once mitigated.
Inside Bars (IB) : Highlights bars fully contained within the prior candle’s range, with optional high-volume filter.
Hammers (H) & Inverted Hammers (IH) : Identifies rejection candles using configurable body/upper/lower wick thresholds. High-volume qualification optional.
Volume Imbalances (VI) : Detects inter-body gaps where one candle’s body does not overlap the prior candle’s body. Boxes extend forward until wick-based mitigation occurs (only after the two-bar formation completes). Alerts available for creation and mitigation.
Mitigation Recolor : Each pattern can flip to a mitigated color once price trades back through its vertical zone.
Moving Averages (MAs) : Four configurable EMAs/SMAs, with per-MA timeframe, length, color, and clutter-free plotting rules.
Strong Bar Coloring : Highlights bullish/bearish engulfing reversals with different colors for high-volume vs low-volume cases.
Close Threshold Bars : Marks candles that close in the top or bottom portion of their range, even if the body is small. Helps spot continuation pressure before a full trend bar forms.
Alerts : Notifications available for FVG+, FVG−, IB, H, IH, VI creation, and VI mitigation.
Connection to Al Brooks’ PAC teachings
This script reflects Al Brooks’ Price Action Candle methodology. PAC patterns like Inside Bars, Hammers, and Inverted Hammers are not trade signals on their own—they gain meaning in context of trend, failed breakouts, and effort vs. result.
By layering in volume imbalances, strong-bar reversals, and volume filters, this script focuses attention on the PACs that show true participation and conviction, aligning with Brooks’ emphasis on reading crowd psychology through price action.
Why the High-Volume filter matters
Volume is a key proxy for conviction. A PAC or VI formed on light volume can be misleading noise; one formed on above-average volume carries more weight.
Elevates Inside Bars that show absorption/compression with heavy activity.
Distinguishes Hammers that reject price aggressively vs. weak drifts.
Filters Inverted Hammers to emphasize true supply pressure.
Highlights VI zones where institutional order flow left inefficiencies.
Differentiates strong engulfing reversals from weaker, low-participation moves.
Inputs & Customization
Inputs are grouped logically for fast configuration:
High-Volume Filter : Global lookback & multiple, per-pattern toggles.
FVG : Visibility, mitigated recolor, box style/transparency, label controls.
IB : Visibility, require high volume, mitigated recolor, colors, label settings.
Hammer / IH : Visibility, require high volume, mitigated recolor, wick/body thresholds.
VI : Visibility, require high volume, mitigated recolor, box style, labels, mitigation alerts.
Strong Bars : Enable/disable, separate colors for high-volume and low-volume outcomes.
Close Threshold Bars : Customizable close thresholds, labels, optional count markers.
MAs : EMA/SMA type, per-MA toggle, length, timeframe, color.
Alerts
New Bullish FVG (+)
New Bearish FVG (−)
New Inside Bar (IB)
New Hammer (H)
New Inverted Hammer (IH)
New Volume Imbalance (VI)
VI Mitigated
Strong Bullish Engulfing / Bearish Engulfing (high- and low-volume variants)
Suggested workflow
Choose your market & timeframe (script works across equities, futures, FX, crypto).
Toggle only the PACs you actually trade. Assign distinct colors for clarity.
Use MAs for directional bias and higher timeframe structure.
Enable High-Volume filters when you want to emphasize conviction.
Watch mitigation recolors to see which levels/zones have been interacted with.
Use alerts selectively for setups aligned with your plan.
Originality
Builds upon Super OrderBlock / FVG / BoS Tools (makuchaku & eFe) for FVG/box framework.
Expanded into a unified PAC toolkit including IB, H, IH, and VI patterns.
Brooks-inspired design: Patterns contextualized with volume and trend, not isolated.
Flexible high-volume gating with per-pattern toggles.
New VI integration with wick-based mitigation.
Strong Bar Coloring differentiates conviction vs weak reversals.
MTF-aware MAs prevent clutter while providing structure.
Open-source: Transparent for learning, editing, and extension.
Disclaimer
For educational and informational purposes only. This script is not financial advice. Trading carries risk—always test thoroughly before live use.
Volume Profile + VAH, VAL, and POCWhat it is
A clean, on-chart volume profile that approximates your visible range using a configurable Bars Back window. It builds a horizontal histogram of volume by price, splits each price bin into Buy vs Sell volume, draws POC, and computes Value Area High/Low (VAH/VAL). A Stealth Mode toggle switches to a subtle grayscale palette for low-key charts.
Why this instead of the built-in VPVR?
Buy/Sell split per bin: See which prices were defended by buyers vs sellers, not just total volume.
Value Area from POC outward: Classic expansion method until the selected % of total volume (default 70%).
Sleek borders & Stealth Mode: Crisp bin outlines and a one-click professional colorway.
Deterministic & fast: No sessions or anchors needed—set your Bars Back and go.
How it works (under the hood)
Window selection – Pine can’t read your viewport, so we approximate it with Bars Back (user input).
Binning – The window’s price range is divided into N bins.
Volume allocation – For each bar in the window:
Distribute Across Hi–Lo (optional): Spread volume across all bins the bar overlaps, weighted by overlap; or
Single-price mode: Assign all volume to one bin using a representative price (hlc3).
Buy/Sell split (two methods):
Body Proportional (recommended): Split by relative up/down body size (|close−open|).
Up/Down Candle: 100% buy if close ≥ open, else 100% sell.
POC & VA: Point of Control is the bin with max total volume. VAH/VAL expands from POC toward the higher-volume neighbor until the selected % of total volume is included.
Reading the visuals
Horizontal bars (right side): Total volume per price bin.
Left sub-segment = Sell volume
Right sub-segment = Buy volume
POC line: Price level with peak total volume.
VAH / VAL (dashed): Upper and lower bounds of the selected Value Area.
Borders: Each bin has a clean outer outline so the profile looks tight and organized.
Stealth Mode: Grayscale palette that preserves contrast without loud colors.
Key inputs (organized for clarity)
Theme
Stealth Mode: Toggles the grayscale look.
Core
Price Bins: Vertical resolution of the profile.
Lookback (Bars): Approximates your visible range.
Style
Profile Width (bars): How far the histogram extends to the right.
Bin Border Width: Outline thickness.
Markers & Lines
Show POC, Show VAH/VAL, Value Area %, VA line width.
Advanced
Distribute Volume Across Hi–Lo: More accurate, heavier compute.
Buy/Sell Split Method: Body Proportional (realistic) or Up/Down (simple).
Tips & best practices
Start with Body Proportional + Distribute Across ON for intraday accuracy.
If the chart lags, reduce Price Bins or Bars Back, or switch off distribution.
For small windows, fewer bins often looks cleaner (e.g., 30–60).
Stealth Mode plays nicely with both dark and light chart themes.
Limitations & notes
Viewport: Pine can’t access the actual visible bars; Bars Back is a practical stand-in.
Buy/Sell split: This is an approximation from candle bodies, not true bid/ask delta.
Designed for overlay; profile renders to the right of the latest bar.
Same-Direction Candles (Two Symbols)Same-Direction Candles (Two Symbols)
What it does
Highlights bars on your chart when two symbols print the same candle direction on the chosen timeframe:
Both Bullish → one color
Both Bearish → another color
Great for spotting synchronous moves (e.g., NQ & ES, QQQ & SPY), or confirming risk-on/risk-off with an inverse asset (e.g., NQ vs DXY with inversion).
How it works
For each bar, the script checks whether close > open (bullish), close < open (bearish), or equal (doji) for:
The chart’s symbol
A second symbol pulled via request.security() (optionally on a different timeframe)
If both symbols are bullish, it paints Bull color; if both are bearish, it paints Bear color. Dojis can be ignored.
Inputs
Second symbol: Ticker to compare (e.g., CME_MINI:ES1!, NASDAQ:QQQ, TVC:DXY).
Second symbol timeframe: Leave blank to use the chart’s TF, or set a specific one (e.g., 5, 15, D).
Invert second symbol direction?: Flips the second symbol’s candle direction (useful for inversely related assets like DXY vs indices).
Ignore doji candles: Skip highlights when either candle is neutral (open == close).
Coloring options: Toggle bar coloring and/or background shading; pick colors; set background transparency.
Alerts
Three alert conditions:
Both Bullish
Both Bearish
Both Same Direction (bullish or bearish)
Create alerts from the Add Alert dialog after adding the script.
Use cases
Index confluence: NQ & ES moving in lockstep
ETF confirmation: QQQ & SPY agreement
FX/Index risk signals: Invert DXY against NQ/ES to see when equity strength aligns with dollar weakness
Tips
For mixed timeframes (e.g., chart on 1m, ES on 5m), set Second symbol timeframe to the higher TF to reduce noise.
Keep Ignore dojis on for cleaner signals.
Combine with your own entry rules (structure, FVGs, liquidity sweeps).
Notes
Works on any symbol/timeframe supported by TradingView.
Overlay script; no strategy/entries/exits are executed.
Past performance ≠ future results; for education only.
Version: 1.0 – initial release (bar/background highlights, doji filter, inversion, multi-TF support, alerts).
Prev Day Close Line + Label — White Text / Royal Blue (v6)Previous Day Close line with clear labeling.
- Gap up vs PDC
- Gap down vs PDC
Helps analyze what yesterday attempted to do helps to confirm whether the attempt was successful.
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview)
1. Introduction
The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts.
This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits.
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2. Core Concepts Behind the Tool
A. Inside Candle Pattern
An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low.
• This means the entire price action of the current candle is "inside" the range of the previous candle.
• A bullish inside candle occurs when the close is higher than the open.
• A bearish inside candle occurs when the close is lower than the open.
This pattern shows market indecision but also sets up potential breakouts or trend reversals.
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B. RSI (Relative Strength Index)
The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market.
• A low RSI (below 25) signals an oversold zone → possible buy.
• A high RSI (above 75) signals an overbought zone → possible sell.
By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other.
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C. Buy & Sell Signals
• Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms.
• Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms.
When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard.
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D. VWAP (Volume Weighted Average Price)
VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume.
• VWAP shows the average trading price weighted by volume, widely used by institutions.
• The tool calculates the distance of price from VWAP in % terms.
• If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold).
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E. Volume Analysis
The tool splits volume into Buy Volume and Sell Volume:
• Buy Volume: If close > open.
• Sell Volume: If close ≤ open.
• Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish.
• A progress bar style visual (using blocks █) shows the dominance of buyers or sellers.
This allows traders to quickly measure whether buyers or sellers are controlling the market trend.
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F. Daily Pivot Points
Pivot Points are calculated using the previous day’s high, low, and close:
• Pivot = (High + Low + Close) / 3
• R1, S1, R2, S2, R3, S3 levels are derived from this pivot.
• These levels act as support and resistance zones.
The script plots Pivot, R1, and S1 lines on the chart for easy reference.
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G. Trend Direction
The indicator checks where the price is compared to R1 and S1:
• If price > R1 → Bullish Trend
• If price < S1 → Bearish Trend
• Otherwise → Neutral Trend
The trend direction is displayed in the dashboard with arrows (↑, ↓, →).
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H. Price Change Calculation
The tool calculates:
• Price Change = Current Close – Previous Close
• Percentage Change = (Change / Previous Close) × 100
• Displays ▲ (green upward) or ▼ (red downward) with the exact percentage.
This gives traders a quick snapshot of intraday price movement.
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I. Dashboard Table
One of the most powerful features is the real-time dashboard table shown on the chart. It contains:
1. Symbol & Price Info (Current ticker, price, change %)
2. RSI Reading (with color coding: green for oversold, red for overbought)
3. VWAP and Distance from VWAP
4. Volume Analysis with Progress Bar (Buy vs Sell %)
5. Pivot Levels (Pivot, R1, S1)
6. Trend Direction (Bullish, Bearish, Neutral)
7. Signal Status (Last Buy/Sell signal with entry price)
This reduces the need for multiple indicators and gives traders a command-center view directly on the chart.
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J. Alerts
The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when:
• Buy Signal Alert → RSI oversold + Bullish inside candle
• Sell Signal Alert → RSI overbought + Bearish inside candle
This ensures no opportunity is missed even if you’re not actively monitoring the chart.
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K. Background Highlights
The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts.
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3. Practical Use of This Tool
• Scalpers & Intraday Traders can use it for quick momentum-based entries.
• Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals.
• Analysts can use the dashboard for real-time summaries in reports.
• Volume Analysis helps understand institutional activity.
Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes.
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4. Strict Disclaimer (aiTrendview)
⚠️ Disclaimer from aiTrendview:
This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment.
aiTrendview strictly follows TradingView.com rules and compliance guidelines.
Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose.
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BPS Multi-MA 5 — 22/30, SMA/WMA/EMA# Multi-MA 5 — 22/30 base, SMA/WMA/EMA
**What it is**
A lightweight 5-line moving-average ribbon for fast visual bias and trend/mean-reversion reads. You can switch the MA type (SMA/WMA/EMA) and choose between two ways of setting lengths: by monthly “session-based” base (22 or 30) with multipliers, or by entering exact lengths manually. An optional info table shows the effective settings in real time.
---
## How it works
* Calculates five moving averages from the selected price source.
* Lengths are either:
* **Multipliers mode:** `Base × Multiplier` (e.g., base 22 → 22/44/66/88/110), or
* **Manual mode:** any five exact lengths (e.g., 10/22/50/100/200).
* Plots five lines with fixed legend titles (MA1…MA5); the **info table** displays the actual type and lengths.
---
## Inputs
**Length Mode**
* **Multipliers** — choose a **Base** of **22** (≈ trading sessions per month) or **30** (calendar-style, smoother) and set **×1…×5** multipliers.
* **Manual** — enter **Len1…Len5** directly.
**MA Settings**
* **MA Type:** SMA / WMA / EMA
* **Source:** any series (e.g., `close`, `hlc3`, etc.)
* **Use true close (ignore Heikin Ashi):** when enabled, the MA is computed from the underlying instrument’s real `close`, not HA candles.
* **Show info table:** toggles the on-chart table with the current mode, type, base, and lengths.
---
## Quick start
1. Add the indicator to your chart.
2. Pick **MA Type** (e.g., **WMA** for faster response, **SMA** for smoother).
3. Choose **Length Mode**:
* **Multipliers:** set **Base = 22** for session-based monthly lengths (stocks/FX), or **30** for heavier smoothing.
* **Manual:** enter your exact lengths (e.g., 10/22/50/100/200).
4. (Optional) On **Heikin Ashi** charts, enable **Use true close** if you want the lines based on the instrument’s real close.
---
## Tips & notes
* **1 month ≈ 21–22 sessions.** Using 30 as “monthly” yields a smoother, more delayed curve.
* **WMA** reacts faster than **SMA** at the same length; expect earlier signals but more whipsaws in chop.
* **Len = 1** makes the MA track the chosen source (e.g., `close`) almost exactly.
* If changing lengths doesn’t move the lines, ensure you’re editing fields for the **active Length Mode** (Multipliers vs Manual).
* For clean comparisons, use the **same timeframe**. If you later wrap this in MTF logic, keep `lookahead_off` and handle gaps appropriately.
---
## Use cases
* Trend ribbon and dynamic bias zones
* Pullback entries to the mid/slow lines
* Crossovers (fast vs slow) for confirmation
* Volatility filtering by spreading lengths (e.g., 22/44/88/132/176)
---
**Credits:** Built for clarity and speed; designed around session-based “monthly” lengths (22) or smoother calendar-style (30).
Liquidity-Weighted Business Cycle (Satoshi Global Base)🌍 BTC-Affinity Global Liquidity Business Cycle (MACD Model)
This indicator models Bitcoin’s macroeconomic business cycle using a BTC-weighted global liquidity index as its foundation. It adapts a MACD-based framework to visualize expansions and contractions in fiat liquidity across major economies with high Bitcoin affinity.
🔍 What It Does:
🧠 Constructs a Global M2 Liquidity Index from the top 10 most BTC-relevant fiat currencies
(USD, EUR, JPY, GBP, INR, CNY, KRW, BRL, CAD, AUD)
— each weighted by its Bitcoin adoption score and FX-converted into USD.
📊 Applies a MACD (Moving Average Convergence Divergence) signal to the index to detect macro liquidity trends.
🟢 Plots a histogram of business cycle momentum (red = expansion, green = contraction).
🔴 Marks potential cycle peaks, useful for macro trading alignment.
⚖️ BTC Affinity-Weighted Countries:
🇺🇸 United States
🇪🇺 Eurozone
🇯🇵 Japan
🇬🇧 United Kingdom
🇮🇳 India
🇨🇳 China
🇰🇷 South Korea
🇧🇷 Brazil
🇨🇦 Canada
🇦🇺 Australia
Weights are user-adjustable to reflect evolving capital controls, regulation, and real-world BTC adoption trends.
✅ Use Cases:
Confirm macro risk-on vs risk-off regimes for BTC and crypto.
Identify ideal entry and exit zones in macro pair trades (e.g., MSTR vs MSTY).
Monitor how global monetary expansion feeds into BTC valuations.
Time Based Range CandleThis indicator creates a visual candle representation from price action during a specified time period.
Key Features:
Configurable Sessions: Set any calculation period (when range is measured) and display period (when visualization appears)
Candle Visualization: Draws a large candle showing open, close, high, low with proper body coloring
Wick/Tail Analysis: Displays wicks and tails with quarter-level subdivisions based on candle type (bullish vs bearish)
End Marker: Vertical line marks exactly when the calculation period ends
Quarter Lines: Optional dotted/dashed lines showing 25%, 50%, 75% levels within body, wicks, and tails
Common Use Cases:
Overnight range analysis (18:00 - 6:00 ET) displayed during regular hours
Session-based range trading (Asian, London, NY sessions)
Custom time period analysis for any market
The indicator follows proper candle terminology where wicks and tails are measured differently for bullish vs bearish candles, making it useful for precise level analysis and range trading strategies.
MSS BoxesWhat it is
The MSS Boxes indicator finds Market Structure Shifts (a decisive break in structure with displacement) and draws actionable zones (“boxes”) from the candle that caused the shift. Those boxes then act as mitigation / continuation areas for the rest of the session (or until they’re invalidated). It’s designed to be clean, non-repainting, and to work as a confluence layer with your SD and ATR Trigger grids.
What you’ll see on the chart
Green boxes for bullish MSS (demand); red boxes for bearish MSS (supply).
A compact label at the box origin (e.g., BOS↑ / BOS↓, or CHOCH) with the time-frame tag if you enable MTF.
Optional status badge on the right edge:
active (untouched), mitigated (tapped and respected), invalid (closed through), expired.
Clean behavior: once a box is printed it does not slide; coordinates are fixed to the confirmed signal candle.
Inputs (quick guide)
Swing detection
Swing length (for swing highs/lows), lookback for break validity, strict wick rule on/off.
Displacement factor (0 = off; typical 1.2–2.0).
Box recipe
Use full wick vs. use body for top/bottom.
Minimum box height (ticks), auto-merge overlapping (joins adjacent boxes of the same side).
Max lifetime (bars), session reset (e.g., clear on NY 18:00).
MTF alignment
Toggle H1 / M15 filters; choose “Plot only when aligned” vs “Plot all but alert only when aligned.”
Visuals
Fill/outline colors, opacity, label size, extend style (full-width vs to last bar).
Six Meridian Divine Swords [theUltimator5]The Six Meridian Divine Sword is a legendary martial arts technique in the classic wuxia novel “Demi-Gods and Semi-Devils” (天龙八部) by Jin Yong (金庸). The technique uses powerful internal energy (qi) to shoot invisible sword-like energy beams from the six meridians of the hand. Each of the six fingers/meridians corresponds to a “sword,” giving six different sword energies.
The Six Meridian Divine Swords indicator is a compact “signal dashboard” that fuses six classic indicators (fingers)—MACD, KDJ, RSI, LWR (Williams %R), BBI, and MTM—into one pane. Each row is a traffic-light dot (green/bullish, red/bearish, gray/neutral). When all six align, the script draws a confirmation line (“All Bullish” or “All Bearish”). It’s designed for quick consensus reads across trend, momentum, and overbought/oversold conditions.
How to Read the Dashboard
The pane has 6 horizontal rows (explained in depth later):
MACD
KDJ
RSI
LWR (Larry Williams %R)
BBI (Bull & Bear Index)
MTM (Momentum)
Each tick in the row is a dot, with sentiment identified by a color.
Green = bullish condition met
Red = bearish condition met
Gray = inside a neutral band (filtering chop), shown when Use Neutral (Gray) Colors is ON
There are two lines that track the dots on the top or bottom of the pane.
All Bullish Signal Line: appears only if all 6 are strongly bullish (default color = white)
All Bearish Signal Line: appears only if all 6 are strongly bearish (default color = fuchsia)
The Six Meridians (Indicators) — What They Mean:
1) MACD — Trend & Momentum
What it is: A trend-following momentum indicator based on the relationship between two moving averages (typically 12-EMA and 26-EMA)
Logic used: Classic MACD line (EMA12−EMA26) vs its 9-EMA signal.
Bullish: MACD > Signal and |MACD−Signal| > Neutral Threshold
Bearish: MACD < Signal and |diff| > threshold
Neutral: |diff| ≤ threshold
Why: Small crosses can whipsaw. The neutral band ignores tiny separations to reduce noise.
Inputs: Fast/Slow/Signal lengths, Neutral Threshold.
2) KDJ — Stochastic with J-line boost
What it is: A variation of the stochastic oscillator popular in Chinese trading systems
Logic used: K = SMA(Stochastic, smooth), D = SMA(K, smooth), J = 3K − 2D.
Bullish: K > D and |K−D| > 2
Bearish: K < D and |K−D| > 2
Neutral: |K−D| ≤ 2
Why: K–D separation filters tiny wiggles; J offers an “extreme” early-warning context in the value label.
Inputs: Length, Smoothing.
3) RSI — Momentum balance (0–100)
What it is: A momentum oscillator measuring speed and magnitude of price changes (0–100)
Logic used: RSI(N).
Bullish: RSI > 50 + Neutral Zone
Bearish: RSI < 50 − Neutral Zone
Neutral: Between those bands
Why: Centerline/adaptive bands (around 50) give a directional bias without relying on fixed 70/30.
Inputs: Length, Neutral Zone (± around 50).
4) LWR (Williams %R) — Overbought/Oversold
What it is: An oscillator similar to stochastic, measuring how close the close is to the high-low range over N periods
Logic used: %R over N bars (0 to −100).
Bullish: %R > −50 + Neutral Zone
Bearish: %R < −50 − Neutral Zone
Neutral: Between those bands
Why: Uses a centered band around −50 instead of only −20/−80, making it act like a directional filter.
Inputs: Length, Neutral Zone (± around −50).
5) BBI (Bull & Bear Index) — Smoothed trend bias
What it is: A composite moving average, essentially the average of several different moving averages (often 3, 6, 12, 24 periods)
Logic used: Average of 4 SMAs (3/6/12/24 by default):
BBI = (MA3 + MA6 + MA12 + MA24) / 4
Bullish: Close > BBI and |Close−BBI| > 0.2% of BBI
Bearish: Close < BBI and |diff| > threshold
Neutral: |diff| ≤ threshold
Why: Multiple MAs blended together reduce single-MA whipsaw. A dynamic 0.2% band ignores tiny drift.
Inputs: 4 lengths (default 3/6/12/24). Threshold is auto-scaled at 0.2% of BBI.
6) MTM (Momentum) — Rate of change in price
What it is: A simple measure of rate of change
Logic used: MTM = Close − Close
Bullish: MTM > 0.5% of Close
Bearish: MTM < −0.5% of Close
Neutral: |MTM| ≤ threshold
Why: A percent-based gate adapts across prices (e.g., $5 vs $500) and mutes insignificant moves.
Inputs: Length. Threshold auto-scaled to 0.5% of current Close.
Display & Inputs You Can Tweak
🎨 Use Neutral (Gray) Colors
ON (default): 3-color mode with clear “no-trade”/“weak” states.
OFF: classic binary (green/red) without neutral filtering.
Volume Imbalance Analyzer - 70% & 80% Version1.01Here’s a clean “definition” you can drop into your docs. It explains **what** the indicator is, **what it helps with**, and **how** to use it—plain and practical.
# Definition
**Volume Imbalance Analyzer (70% & 80%)** flags bars where estimated buy vs. sell volume is heavily one-sided. It colors those bars, adds labels (B70/B80 or S70/S80), and can alert you in real time. The goal is to quickly spot spots of **aggressive participation** (buyers or sellers) that often act as magnets for a **retest** or as **exhaustion/continuation** areas.
# What it helps you do
* **Find high-energy bars** where one side dominates (potential turning or continuation points).
* **Plan retests:** Track when price comes back into the imbalance candle’s range (common entry/take-profit logic).
* **Filter trades:** Only act when the market shows unusual pressure (≥70% or ≥80%).
* **Add context to setups:** Combine with S/R, FVGs, or trend tools to time entries with less guesswork.
* **Alert-driven workflow:** Get notified the moment extreme pressure prints.
# How it helps (workflow)
1. **Scan for signals:**
* **B80/B70** = strong buying; **S80/S70** = strong selling.
* 80% is “extreme” and overrides 70%.
2. **Mark the zone:** The imbalance candle’s **high–low** defines a zone. Many traders wait for a **retest** into that range.
3. **Decide intent:**
* After **B80/B70**, look for pullbacks to buy (or fades if you see exhaustion).
* After **S80/S70**, look for rallies to sell (or fades if exhaustion).
4. **Confirm with context:** Check trend, key levels, liquidity, session timing, ATR/volatility.
5. **Manage risk:** Place stops beyond the zone; size trades so a failed retest doesn’t ruin the day.
# How it works (under the hood, briefly)
The script **estimates buy/sell volume** from each candle’s body, wicks, and total volume, then computes an **imbalance %**. If the % crosses **70%** or **80%** (scaled by a Sensitivity setting), it paints the bar, drops a label, and optionally fires an alert. It also stores the imbalance candle’s range so you can watch for a **retest**.
# Reading the signals (quick guide)
* **B80**: Extreme buyer pressure → watch for pullback buys or exhaustion shorts, depending on context.
* **B70**: Strong buyer pressure → mild continuation bias.
* **S80**: Extreme seller pressure → watch for rally sells or exhaustion longs.
* **S70**: Strong seller pressure → higher reversal probability noted in the table (informational).
# Configuration tips
* **Sensitivity**: Higher = more bars qualify (more signals).
* **Label distance**: Scales with ATR so labels don’t overlap candles.
* **Colors/opacity**: Separate for 70% vs 80% and buyer vs seller.
* **Alerts**: Enable to catch signals live without staring at the screen.
# Notes & limits
* Uses **estimation** (not true bid/ask) on most symbols; treat as a **context tool**, not a stand-alone system.
* The optional stats table’s “expected outcomes” are **informational**, not live probabilities.
* Works on any timeframe; results improve when combined with structure and risk controls.
Candle AnalyzerThis tool classifies candles based on their body size and wick proportions, helping you quickly identify:
"Strong" Candles: When the body dominates, showing clear bullish or bearish momentum.
"Rejection" Candles: Long wicks indicate price was pushed back, suggesting potential reversals.
"Indecisive" Candles: When neither buyers nor sellers are clearly in control, or if wicks are balanced.
"Doji/Indecision": Very small or non-existent bodies, highlighting significant uncertainty.
Features
Manual Entry Time (Defaults to NY Open): The indicator analyzes the candle at this specific time.
Current Bar Analysis: This feature classifies the current, developing candle in real-time.
Analysis Table: A table displays details for the last four completed bars, including body size and wick percentages.
Customizable Thresholds: Adjust the "Min Body vs Wick %" and "Dominant Wick vs Body Ratio" to fine-tune how "strong" or "rejection" candles are identified.
Impulse Convexity Trend Gate [T1][T69]OVERVIEW 🧭
• A price-only trend engine that opens a “gate” only when trend strength, acceleration, and impulse dominance align.
• Built from three cooperating parts: adaptive slope, directional convexity, and an impulse-vs-pullback ratio.
• Output is a bounded oscillator (−100…+100) plus side-specific gate states (bull/bear), with optional pullback and weakness highlights.
THE IDEA & USEFULNESS 🧪
• Not a simple mashup: each component plays a distinct role—slope for direction, convexity for acceleration agreement, and an impulse ratio to suppress correction noise.
• Adaptive EMA length (series-based) lets the midline adjust to conditions without external indicators.
• Approximation of hyperbolic tangent and clamp keep signals bounded and stable while avoiding library dependencies.
• Designed to help trend traders act only when continuation is likely, and stand down during pullbacks or chop.
HOW IT WORKS (PIPELINE) ⚙️
• Price transform
• Uses log price for scale stability.
• Adaptive midline
• Volatility-aware EMA length is clamped between minimum and maximum, then applied via a custom recursive EMA.
• Slope & convexity
• Slope (first difference of the midline) defines direction; convexity (second difference) verifies acceleration agrees with that direction.
• Impulse vs pullback ratio (R)
• Sums directional progress versus counter-direction pullbacks over a window; requires impulse to dominate.
• Normalization & score
• Slope and convexity are normalized by recent dispersion; combined into a raw score and squashed to −100…+100 using manual tanh.
• Trend gate
• Gate opens only when: R ≥ threshold, |normalized slope| ≥ threshold, and slope/convexity share the same sign.
• States & visuals
• Bull/Bear Gate Entry when gate is open, oscillator crosses ±15 in the correct direction, price is on the correct side of the midline, and slope/convexity agree.
• Pullbacks mark counter-moves while a gate is active; Weakness flags specific fade patterns after pullbacks.
FEATURES ✨
• Bull and Bear Gate Entries (green/red columns).
• Pullback shading and optional trend-weakness highlights (yellow/orange + teal/maroon).
• Background tint reflects the active side (bull or bear).
• Pure price logic; no volume or external filters required.
HOW TO USE 🎯
• Regime filter
• Trade only in the direction of the open gate; ignore signals when the gate is closed.
• Pullback entries
• During an open gate, wait for a pullback zone, then act on trend-resumption (e.g., oscillator re-push through ±15 or structure break in gate direction).
• Exits & risk
• Consider trimming when the oscillator relaxes toward 0 while the gate remains open, or when convexity flips against slope and R deteriorates.
• Timeframes & markets
• Suited for trend following on crypto/FX/indices from M30 to 4H/1D; raise thresholds on lower timeframes to reduce noise.
CONFIGURATION 🔧
• Impulse ratio gate (R ≥): raises/lowers the standard for continuation dominance.
• Slope strength gate (|sN| ≥): controls how strong a slope must be to count.
• Show Pullback Impulse (toggle): enable/disable pullback highlights.
• Show Trend Weakness (toggle): enable/disable weakness flags.
LIMITATIONS ⚠️
• As a trend tool, it can lag at regime transitions; expect whipsaws in tight ranges.
• Parameters are instrument- and timeframe-dependent; tune thresholds before live use.
• Pullback/weakness flags are contextual—not trade signals by themselves; use them with gate state and your execution rules.
ADVANCED TIPS 🛠️
• Tighten R and slope thresholds for lower timeframes; loosen for higher timeframes.
• Pair with NNFX-style money management and pair-level filters; let the gate be the confirmation layer, not the entry trigger by itself.
• Batch-test across 100+ symbols, export metrics, and run Monte Carlo to validate LLN reliability and Sharpe/IQR stability.
• For system hedging, disable entries when both sides trigger on the same asset to avoid internal conflict.
NOTES 📝
• Price-only construction reduces data-vendor differences and keeps behavior consistent across markets.
• Manual tanh/clamp ensure stable, bounded scores even during extremes.
DISCLAIMER 🛡️
• For research and education. No financial advice. Test thoroughly, size conservatively, and respect your risk rules.
Projected 65min VolumeThe script provides relative volume for the first 5min candle after its close vs 14 avg and estimates projected volume for the first 65min candle in the trading session vs avg value.
!!!The indicator is designed to work only at 5min TF!!!
Multi-Timeframe Bias Dashboard + VolatilityWhat it is: A corner table (overlay) that gives a quick higher-timeframe read for Daily / 4H / 1H using EMA alignment, MACD, RSI, plus a volatility gauge.
How it works (per timeframe):
EMA block (50/100/200): “Above/Below/Mixed” based on price vs all three EMAs.
MACD: “Bullish/Bearish/Neutral” from MACD line vs Signal and histogram sign.
RSI: Prints the value and an ↑/↓ based on 50 line.
Volatility: Compares ATR(14) to its SMA over 20 bars → High (>*1.2), Normal, Low (<*0.8).
Bias: Combines three votes (EMA, MACD, RSI):
Bullish if ≥2 bullish, Bearish if ≥2 bearish, else Mixed.
Display:
Rows: D / 4H / 1H.
Columns: Bias, EMA(50/100/200), RSI, MACD, Volatility.
Bias cell is color-coded (green/red/gray).
Position setting lets you park the table in Top Right / Bottom Right / Bottom Left (works on mobile too).
Use it for:
Quickly aligning intraday setups with higher-TF direction.
Skipping low-volatility periods.
Confirming momentum (MACD/RSI) when price returns to your OB/FVG zones.
Crypto Macro CockpitCrypto Macro Cockpit — Institutional Liquidity Regime Detection
🔍 Overview
This script introduces a modern macro framework for crypto market regime detection, leveraging newly added stablecoin market data on TradingView. It’s designed to guide traders through the evolving institutional era of crypto — where liquidity, not just price, is king.
🌐 Why This Matters
Historically, traditional proxies like M2 money supply or bond yields were referenced to infer macro liquidity shifts. But with the regulatory green light and institutional embrace of stablecoins, on-chain fiat liquidity is now directly observable.
Stablecoins = The new M2 for crypto.
This script utilizes real-time data from:
📊 CRYPTOCAP:STABLE.C (Total Stablecoin Market Cap)
📊 CRYPTOCAP:STABLE.C.D (Stablecoin Dominance)
to assess dry powder, risk appetite, and macro regime transitions.
📋 How to Read the Crypto Macro Cockpit
This dashboard updates every few bars and is organized into four actionable segments:
1️⃣ Macro Spreads
Metric --> Interpretation
Risk Flow --> Measures capital flow between stablecoins and total crypto market cap. → Green = risk deploying.
ETH vs BTC --> Shift in dominance between ETH and BTC → rotation gauge.
ETHBTC --> Price ratio movement → confirms leadership tilt.
ALTs (TOTAL3ES) --> Momentum in altcoin market, excluding BTC/ETH/stables → key for alt season timing.
2️⃣ Liquidity & Risk Appetite
Metric --> Interpretation
Liquidity --> Directional change in stablecoin cap → more stables = more dry powder.
Risk Appetite --> Inverse of stablecoin dominance → falling dominance = capital rotating into risk.
3️⃣ Stablecoin Context
Metric --> Interpretation
StableCap ROC --> Growth rate of stablecoin market cap → proxy for fiat inflows.
StableDom ROC --> Change in stablecoin dominance → reflects market caution or aggression.
4️⃣ Composite Labels
Label --> Interpretation
Rotation --> Sector tilt (BTC-led vs ETH/Alts)
Regime --> Synthesized macro environment → "Risk-ON", "Caution", "Waiting", or "Risk-OFF"
Background Color --> Optional tint reflecting regime for quick glance validation
All metrics are evaluated with directional arrows (▲/▼/•) and acceleration overlays, using user-defined thresholds scaled by timeframe for precision.
🔔 Built-in Alerts
Predefined, non-repainting alerts include:
Regime transitions
Sector rotations
Confirmed ETH/ALT rotations
Stablecoin market cap spikes
Risk Flow acceleration
You can use these alerts for discretionary trading or automated system triggers.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Trading cryptocurrencies involves risk, and past performance does not guarantee future results. Always do your own research and manage risk responsibly.
✅ Ready to Use
No configuration needed — just load the script
Works on all timeframes (optimized for 1D)
Thresholds and smoothing are customizable
Table positioning and sizing is user-controlled
If you find this helpful, feel free to ⭐️ favorite or leave feedback. Questions welcome in the comments.
Let’s trade with macro awareness in this new era.
Fabian Z-ScoreFabian Z-Score — % Distance & Z-Scores for SPX / DJI / XLU
What it does
This indicator measures how far three market proxies are from a moving average and standardizes those distances into z-scores so you can spot stretch/mean-reversion and relative out/under-performance.
Universe: S&P 500 (SPX), Dow Jones (DJI) and Utilities (XLU). You can change any of these in Inputs.
Anchor MA: user-selectable MA type (SMA/EMA/RMA/WMA/VWMA/HMA/LSMA/ALMA) and length (default 39; a popular weekly anchor).
Outputs
% from MA: 100 × (𝐶𝑙𝑜𝑠𝑒 − 𝑀𝐴) / 𝑀𝐴
Time-series Z: z-score of the last N % distances (default 39) → “how stretched vs its own history?”
Cross-sectional Z: z-score of each % distance within the trio on this bar → “who’s strongest vs the others right now?”
A compact mini table (top-right) shows the latest values for each symbol: % from MA, Z(ts) and Z(xsec).
Panels & Visualization
Toggle what you want to see in View:
Plot % distance — raw % above/below the MA (0% line shown).
Plot time-series Z — standardized stretch with ±Threshold guides (default ±2σ).
Plot cross-sectional Z — relative z across SPX, DJI, XLU (0 = at the trio’s mean).
Smoothing — optional light MA on the plotted series (set to 1 for none).
A price-panel Moving Average is drawn with your chosen type/length for visual context.
Colors: SPX = teal, DJI = orange, XLU = purple.
Alerts
Two built-in alert conditions (time-series Z only):
“Z(ts) crosses up +Thr” — any of the three crosses above +Threshold.
“Z(ts) crosses down -Thr” — any crosses below −Threshold.
When enabled, the chart background tints faint green (up cross) or red (down cross) on those bars.
How to use (ideas, not advice)
On weekly charts, a 39-length MA/Z lookback often captures major risk-on/off swings. (Fabian Timing)
Deep negative Z(ts) (e.g., ≤ −2σ or −3σ) frequently accompanies panic and mean-reversion setups.
High positive Z(ts) suggests over-extension; watch for momentum fades.
Cross-sectional Z helps rank leadership today:
Z(xsec) > 0 → stronger than the trio’s mean this bar; Z(xsec) < 0 → weaker.
Utilities (XLU) turning positive x-sec while the others are negative can hint at defensive rotation.
If all 3 are above 0, go long, if below 0 go cash.
Combine: look for extreme Z(ts) aligning with lead/lag Z(xsec) to time entries/exits or hedges.
Inputs (quick reference)
Symbols: SPX / DJI / XLU (editable).
MA type & length: SMA, EMA, RMA, WMA, VWMA, HMA, LSMA, ALMA; default EMA(39).
Z-score lookback (ts): default 39.
Smoothing on plots: default 1 (off).
Z threshold (±): default 2.0 (guide lines & alerts).
