Tick Profile HeatmapThis is a market internal TICK heatmap with the intent of displaying areas of price associated to stronger reactions with NYSE TICK (by default).
This code is based off of a variation of a Volume Profile coded originally by colejustice who originally used code from LuxAlgo . The full-width volume bars that colejustice setup were replaced with full-width bars representative of TICK breaking +/- $500, the current cumulative value representing the "heat" is comprised of hlc3 by default but that can be changed. In a future update I may add additional logic here to capture highs and lows in the heatmap specifically, and perhaps additional colors.
As with other traditional profiling studies, this indicators purpose is to visualize correspondence to specific price levels, allowing rapid assessment where the most TICK activity is occurring, and where it hasn't been. This information may provide areas of support and resistance and regions where price may move quickly repeatedly.
All of the same input guidance that colejustice provided is the same for those pre-existing inputs:
Inputs are set up such that you can customize the lookback period, number of rows, and width of rows for most major timeframes individually. Timeframes between those available will use the next lower timeframe settings (e.g., 2m chart will use the 1m settings.)
Zero usage of volume is present in this indicator, only TICK data so please don't confuse it with volume studies.
在脚本中搜索"volume profile"
Modified TradingView's Up/Down Volume [vnhilton]
When plotting columns, histograms, etc. You'll notice that the indicator does not stick to the bottom of the pane. To fix this, you need another indicator (we'll call this 'placeholder') in the same pane as this indicator. Pin the placeholder indicator to the left scale, & pin the main indicator to the left scale. Then, pin the placeholder indicator to scale A, & finally the main indictor to the right scale.
Note: On the daily timeframes & higher, the up/down volume isn't accurate. Therefore, I've added a feature where you can toggle on the main indicator to disappear & only show ordinary total volume similar to the TradingView volume indicator.
The original code belongs to TradingView. This is a modified indicator that displays the down volume above the up volume similar to the volume profile. Also includes a moving average using the total volume, & a feature to display ordinary volume to solve the up/down inaccuracies on the daily timeframe & higher.
Volume CompressorTurns volume into a more informative representation, ready to be further analyzed
...
Rationale
Volume
Back in the "before the quant" days I was a big fan of market & volume profile. Thing is J. Steidlmayer had lotta different ideas & works aside of profiling, it's just most of them ain't got to mainstream, one of them was "Hot / Cold volume" (yes, you can't really google it). From my interpretation, the idea was that in a given asset there is a usual constant volume that stays there no matter what, and if it ever changes it changes very slow and gradually; and there's another kind of, so to say, 'active' volume that actually influences price dynamics and very volatile by its nature. So I've met concept lately, and decided to quantify & model it one day when I'll have an idea how. That day was yesterday.
Compression
When we do music we always use different kinds of filters (low-pass, high pass, etc) for equalization and filtering itself. That stuff we use in finance as well. What we also always use in music are compressors, there dynamic processors that automatically adjust volume so it will be more consistent. Almost all the cool music you hear is compressed (both individual instruments (especially vocals) and the whole track afterwards), otherwise stuff will be too quite and too weak to flex on it, and also DJing it would be a nightmare. I am a big adept of loudness war. So I was like, how can I use compression in finance, when ima get an idea? That day was yesterday as well.
Volume structure
Being inspired by Steidlmayer's idea, I decided to distinguish volume this way:
1) Passive / static volume. The ~ volume that's always there no matter what (hedges, arbitrages, spread legs, portfolio parts etc etc), doesn't affect things;
2) Active / dynamic volume. The volume that flows from one asset to another, really matters and affects things;
3) Excess volume. The last portion of number 2 volume, that doesn't represent any powerful value to affect things.
Now it's clear that we can get rid of number 1 and number 3, the components that don't really matter, and concentrate on number 2 in order to improve information gain, both for ourselves and for the models we feed this data. How?
Model
I don't wanna explain it all in statistical / DSP way for once.
First of all, I think the population of volumes is log-normally distributed, so let's take logs of volumes, now we have a ~ normally distributed data. We take linearly weighted mean, add and subtract linearly weighted standard deviation from it, these would be our thresholds, the borders between different kinds of volumes explained before.
The upper threshold is for downward compression, that will not let volume pass it higher.
The lower threshold is for upward compression, all the volumes lower than this threshold will be brought up to the threshold's level.
Then we apply multipliers to the thresholds in order to adjust em and find the sweet spots. We do it the same way as in sound engineering when we don't aim for overcompression, we adjust the thresholds until they start to touch the signal and all good.
Afterwards, we delete all the number 1 and number 3 volume, leaving us exclusively with the clear main component, ready to be processed further.
We return the volumes to dem real scale.
About the parameters, based on testing I don't recommend changing the thresholds from dem default values, first of all they make sense statistically and second they work as intended.
Window length can and should be adjusted, find your own way, or leave the default value. ML (moving location) length is up to you as well.
So yeah, you can see now we can smooth the data and make it visually appealing not only by applying a smooth filter over it.
All good TV?
Volume Footprint [LuxAlgo]This indicator estimates a volume footprint using tick data. The script automatically separates a candle into equidistant intervals with a width obtained from the average true range or a user-given width.
Settings
Method: Interval width calculation method. This ultimately determines the number of intervals separating one candle.
Width (At the right of Method): Atr period or user given width depending on the selected method. A lower user-given width would divide a candle into a higher number of intervals.
As Percent: Returns the accumulated volume within each interval as a percentage of the total candle volume.
Style
Display Type: Determines the appearance of the returned volume footprint.
Trend Color: Color to use based on whether a candle is bullish or bearish.
Usage
When applied to a chart, the user will be asked to select the settings to use for the volume footprint. Note that changing the settings afterward will reset the volume footprint, removing previously generated footprints.
A new footprint will appear on the confirmation of a new bar, as such this version might only be useful in lower timeframes.
A volume footprint allows users to see the number of contracts exchanged within a candle interval. It can as such be seen as some kind of intrabar volume profile.
This can be useful to see areas of interest within a candle.
Different Appearance
By default, the volume footprint makes use of colored boxes with a color based on whether the candle was bullish or bearish.
Another appearance that gives additional information is the gradient type, which uses intervals color based on the number of contracts exchanged within an interval relative to the total volume of the candle. A higher number of contracts within an interval would return a darker color by default.
The regular display type makes use of boxes with a single color, with lines on the side indicating whether the candle was bullish or bearish.
Vwap based Supply and Demand Heatmap_V1This is a Multi-time frame "Thermographic Vwap based heatmap" showing Highest volume Vwap supply and demand zones.
User has 3 inputs for time frames to choose from or layer. It comes preset with "Short" and "Mid" time frame enabled and user can choose to add an additional layer if they would like for longer time frame analysis. If ALL time frames are enabled, fewer levels will show overall due to the 500 map limit, But zones will become brighter, larger, and more "precise" as they overlap and seek out the highest volume concentration amongst all levels.
What is the map showing you?
The heat map goes through each user selected time frame and searches for the highest volume candle and plots a zone based of that candles Vwap and high. These zones act as dynamic support and resistance. Each zone will "Degrade" and disappear over time and show positive when price has broken, cleared and held above it. The shift in color however is not immediate in change, rather transitional, so as not to "Repaint" causing false sense of clearing a zone. All negative zones (Price below) are colored red. User can choose to change any of the maps color's if they would like.
Time frame MUST be larger than your current charts resolution.-
Example- If on a 3min chart, user would choose any time frame LARGER than 3 min to display a map from.
Time frames the zones work best on are 1,3,5,15 min, paired with maps such as "Daily, Weekly, 240min(4hr), 60min" etc for intraday scalping or trend style trading. If on a larger time frame, 60mi, 4hr, Daily, user would choose larger maps like Daily, Weekly, monthly only. User can choose to display all, or just one time frame's zone at a time if they would like. If on a smaller intraday chart, You can start with "Daily" map first, increase opacity if the map is to dark. Then add additional time frames up or down in time if you'd like so long as maps time frame is larger than the charts.
If on a 1, 3, or 5min chart, you can also try the 30,60, or 240min maps for finer granularity and "Scalping" support and resistance.
If you choose a set of time frames, and do not see maps interacting with current price, then cycle out to a higher chart time frame and maps that are one or two time frames higher than current chart resolution.
These maps are showing you where supply and demand are situated since they are looking for the "Highest Volume" candles in each time frame you choose-
The range cast from the highest volume launch candle have proven to be strong support or resistance. Think of "Trapped trader's" if viewing over head supply level's, these traders will sell into a push higher until cleared. Vice versa, if viewing a demand level below, think of a "Base", especially on higher time frames. An area of high volume participation, where buyer's have shown support, and launched a run from. When price cycles back to these zone's, one would expect support from them.
Each zone has a high or low, you will often see price discovery "Test" the high and low of each zone. Probing as they say in Auction market theory to see if there are still buyers, or seller's present. I will often wait for the probe of the high or low of a zone, then look to participate once they have wicked the area and cleared the inventory there and start to move to the opposing side of the zone I am looking to participate in. Think of "Value low, and Value high" in market or volume profile. Market maker's aim to test the participants "Max pain", and absorb stops in each direction. With that said the maps are not meant to be "Lines in the sand" or concrete level's, they are simply hot or cold zones where you could expect participation to happen, the "Hotter" or "Brighter" a zone is the higher the volume concentration is there at that price area. So act accordingly and use this as an addition to your analysis, not the ONLY thing you take into consideration.
With that said, Trading is RISKY, The creator of this code is NOT a licensed professional, and this tool, nor description is meant to be trading or financial advice! The user whom downloads this tool assumes ALL responsibility and liability associated with the financial risk that comes with the use of this analysis tool and trading in general. The creator of the code advises all users to do their due diligence and contact a licensed broker dealer before making ANY financial decision's based off of analysis done with this tool.
Any question's, Comments or concerns feel free to message via Tradingview platform.
Enjoy-
JMF
Triple VWAP [JopAlgo]Triple VWAP — three volume-weighted rails for trend, pullback, and reversion
Core idea
This is three rolling VWAPs (VWMA-style) with user-set lengths. Together they show:
Trend structure → stack & slope of the three lines
Pullback zones → dynamic VWAP supports/resistances
Reversion risk → distance from the fastest VWAP
Use the stack (fast/medium/slow) for bias, slope for momentum, and distance to avoid chasing.
What you’ll see
VWAP 1 (fast), VWAP 2 (medium), VWAP 3 (slow)
Colors match inputs; each line can be toggled on/off
No bands or extras—just three clean volume-weighted rails
Read it fast → Which line is on top? Are they fanning out or braiding? How far is price from the fast VWAP?
How to use it (simple playbook)
Direction filter
Bullish bias → fast above medium above slow and slopes ↗
Bearish bias → fast below medium below slow and slopes ↘
Entry timing
Trend pullback (with level): In a bullish stack, wait for price to retest fast/medium VWAP at a real level → look for the first higher-low and continuation.
Reclaim / reject: Long when price reclaims fast → medium with holds (mirror for shorts on rejects).
Don’t chase: If price is far above the fast VWAP, wait for a revert toward fast before engaging.
Location first (always)
Act at real references → Volume Profile v3.2 (VAH/VAL/POC/LVNs) and Anchored VWAP
No level → no trade
Quality check (optional)
CVDv1 → prefer Alignment OK, avoid entries when Absorption reads against your side
Entries, exits, risk
Continuation long: Bullish stack ↗, pullback into fast/medium at VAL / AVWAP / LVN, hold → enter
Stop → below structure/last swing • Targets → POC/HVNs or prior swing
Break + retest: Price crosses medium and holds above it, lines begin to fan out ↗ → enter on the retest
Fade to value (advanced): Extended move into VAH with price stretched far from fast VWAP → look for reject and revert toward POC/fast
Trim/Avoid: Into HVNs with lines flattening or braiding → take profits / stand down
Settings that matter (and how to tune)
VWAP Length 1 / 2 / 3 → choose a fast / medium / slow ladder
Shorter = more reactive, more noise
Longer = steadier bias, more lag
Visibility toggles → hide one line if cluttered; many traders keep fast & slow only
Starter presets
Scalp (1–5m) → 20 / 50 / 100
Intraday (15m–1H) → 50 / 100 / 200
Swing (2H–4H) → 50 / 150 / 300
High-vol pairs → 30 / 60 / 120
Pattern cheat sheet
Stack flip: Fast crosses medium, then slow, and all slopes turn ↗ / ↘ → regime change
Triple pinch → expansion: Lines braid tight, then fan out with price holding a level → expansion leg
Kiss & go: Pullback tags fast VWAP in trend and bounces → add/enter with structure
Mean-revert tag: Stretch away from fast into VP edge → revert toward fast/POC
Best combos (kept simple)
Volume Profile v3.2 → entries at VAH/VAL/LVNs, targets at POC/HVNs
Anchored VWAP → session/weekly/event anchors for major reclaims/rejections; use Triple VWAP for day-to-day timing
CVDv1 (optional) → take VWAP-aligned setups with flow; skip when Absorption is against you
Common mistakes this helps you avoid
Trading against the VWAP stack
Chasing far from the fast VWAP
Acting mid-range while lines braid (do less; wait for expansion or edges)
Disclaimer
This indicator and write-up are for education only, not financial advice. Trading involves risk; results vary by market, venue, and settings. Test first, trade at defined levels, and manage risk. No guarantees or warranties are provided.
Triple RSI [JopAlgo]Triple RSI — a cleaner RSI with a built-in trigger
Core idea
This is RSI + a moving average of RSI (you choose SMA / EMA / VWAP) plus the classic 70 / 50 / 30 rails. That gives you:
Regime (above/below 50),
Trigger (RSI crosses its RSI-MA),
Stretch (near 70/30).
Pick EMA for speed, SMA for smooth bias, or VWAP to weight RSI by volume (helpful when participation spikes matter).
What you’ll see
RSI (blue) and Selected MA of RSI (orange).
Static levels: 70 / 50 / 30.
Built-in alerts for RSI↗ MA (Buy) and RSI↘ MA (Sell).
Pane shapes are available but hidden by default—turn them on if you want markers.
Read it fast: Which side of 50? Is RSI above or below its MA? Are we near 70/30?
How to use it (simple playbook)
Direction filter (regime):
Focus longs while RSI ≥ 50.
Focus shorts while RSI ≤ 50.
Trigger:
Enter on RSI crossing its MA in the direction of the regime (RSI↗MA above 50 for longs; RSI↘MA below 50 for shorts).
If RSI is already stretched (near 70/30), wait for the retest/hold at a level instead of chasing.
Location first (always):
Act at real references: Volume Profile v3.2 (VAH/VAL/POC/LVNs) and Anchored VWAP (session/weekly/event).
No level, no trade.
Quality check (optional, strong):
If you use CVDv1 , prefer signals with Alignment OK and no Absorption against your side.
Entries, exits, risk
Continuation long: Regime ≥ 50, price pulls to VAL / AVWAP / MA cluster, RSI crosses up its MA → enter.
Stop: below structure/last swing. Targets: POC/HVNs or next swing high.
Reclaim short: Regime ≤ 50, failed retest at VAH/AVWAP, RSI crosses down its MA → enter.
Invalidation: quick reclaim of the level and RSI re-cross up.
Trim/avoid: RSI marching into 70 with weak follow-through at an HVN → take profits / don’t chase. Mirror at 30 for shorts.
Settings that matter (and how to tune)
RSI Length (default 10):
Lower = faster/more signals; higher = smoother/fewer.
MA Length (default 7):
Controls how quickly your trigger reacts. Shorter = earlier crossovers (more noise).
MA Type (SMA / EMA / VWAP):
EMA: fastest trigger (popular for intraday).
SMA: calmer trigger (good for swing).
VWAP (on RSI): volume-weighted RSI baseline—use when participation matters (crypto, news hours).
Starter presets
Scalp (1–5m): RSI 7–9, MA 5–7, EMA
Intraday (15m–1H): RSI 10–14, MA 7–9, EMA
Swing (2H–4H): RSI 14–20, MA 9–12, SMA
Daily backdrop: RSI 14, MA 9–10, SMA (execute on lower TF)
Pattern cheat sheet
Regime + Trigger: RSI >50 and crosses up its MA at a level → continuation.
Mean-revert stretch: RSI tags 70 (or 30) into VAH/VAL and crosses back through its MA → rotation to value.
Failure tell: Price pokes a level but RSI can’t hold above 50 (or below 50 for shorts) → likely fake; wait for the reclaim.
Best combos (kept simple)
Volume Profile v3.2: Entries at VAH/VAL/LVNs, targets at POC/HVNs.
Anchored VWAP: Reclaims/rejections with RSI regime + trigger in the same direction = cleaner timing.
CVDv1 (optional): Take RSI-aligned trades with flow (ALIGN OK, no Absorption).
Common mistakes this helps you avoid
Trading against the 50-line regime.
Chasing crosses far from value (wait for the retest).
Taking every cross in chop—use levels and the 50-line filter.
Disclaimer
This indicator and write-up are for education only, not financial advice. Trading is risky; results vary by market, venue, and settings. Test first, trade at defined levels, and manage risk. No guarantees or warranties are provided.
Chaos Theory Pro # Anyone who has paid for this script previously, please DM as per author instructions to continue your lifetime access
## The Edge: Smart Zone-Based Trading
This indicator's primary advantage lies in its zone-based approach that naturally encompasses critical areas of support and resistance. These zones capture key market structures including:
- High-volume price clusters
- Support-to-resistance (and resistance-to-support) transitions
- Other significant price action areas
By identifying these zones, the indicator addresses two of the most challenging problems in trading : optimal stop loss placement and take profit targeting.
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## How to Use This Indicator
### Entry Rules: Limit Orders Only
Critical: All entries must be LIMIT orders. Never use market orders or stop orders.
Here's why:
- Why limit orders? The zones represent areas of strong support and resistance (an unintended but beneficial feature of the indicator's design). Price frequently pulls back to these zones before continuing, giving you optimal entry opportunities.
- Why not market orders? You'll miss the better prices at the zone boundaries.
- Why not stop orders? These zones are areas of intense market activity. Price often "spikes" through zone borders to capture liquidity before reversing in the intended direction. Stop orders would get triggered on these false moves.
Proper Entry Technique:
1. Wait for the candle/bar to close
2. Place your limit order at the zone border
3. Let price come to you
### Take Profit Strategy
Target the next zone (recommended) or multiple zones ahead based on your risk appetite. The simplest and most consistent approach is single-zone targeting.
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## Your Responsibility: Confluence Analysis
The indicator tells you WHERE to enter, WHERE to place your stop loss, and WHERE to take profit. But you must determine WHEN to trade by identifying confluences.
### Minimum Requirement: 3 Confluences
Before placing any order, look for at least three confirming signals from:
- Divergences : RSI, MFI, or CVD candles
- Volume analysis : Volume Profile
- Order flow : Footprint charts
- Price action : Candlestick patterns
- Market theories : Wyckoff, Dow Theory, Elliott Wave
- Other technical tools of your choice
### You Have Time
The indicator provides alerts when price approaches a zone . During the pullback, you have time to conduct thorough confluence analysis. Only place your limit order after identifying your 3+ confluences.
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## Alternative Approaches
If you backtest and find that market entries work better for your specific strategy (e.g., using moving average crossovers or other triggers), you're free to adapt the method. However, the limit order approach outlined above is designed to work consistently for everyone, regardless of whether they have an existing strategy.
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## How the Indicator Works: The Mathematical Foundation
### Based on Chaos Theory - A Predictive, Not Reactive System
This indicator represents a fundamentally different approach to market analysis. Unlike traditional indicators that describe what price has done (using averages, volume, volatility), this system predicts where price will go using chaos theory mathematics.
Key Principle : Price behaves as a complex dynamical system that is highly sensitive to initial conditions - similar to weather patterns or planetary orbits. While we cannot predict when price will reach a destination, we can predict where it will likely travel within probability bounds.
### What Makes This Different
Traditional Indicators:
- React to historical data with lagging signals
- Use linear mathematics and statistical averages
- Assume markets are random or follow simple patterns
This Chaos Theory Approach:
- Proactively identifies future probability zones
- Uses non-linear complex systems mathematics
- Treats markets as chaotic but mathematically predictable
- Applies universal mathematical laws (no curve fitting needed)
### The Butterfly Effect in Trading
Small changes at critical junctures can cascade into major trend changes. The indicator identifies these critical probability zones - mathematical "attractors" toward which price is naturally drawn.
### Understanding the Zones
Orange Zones : Mathematical probability destinations where price is likely to expand
Activation Rule : Price must close outside any zone (full candle body, not just wicks) to activate the next probability destination
Primary Principle : Once activated, price travels to the next zone before closing back behind the originating zone border
Red Dots : Indicate areas where valid zone sets were available for trading. Empty spaces mean price closed past the highest/lowest zone or zones were invalidated.
### Probability-Based Performance
The indicator includes a statistics panel that measures real-time success rates - tracking how often price reaches predicted zones before invalidation. This transparent performance measurement allows you to verify probability calculations for your specific symbol and timeframe.
### Universal Application
Because this is based on fundamental mathematical principles (not optimized parameters), it works consistently across:
- All markets: Forex, stocks, crypto, commodities
- All timeframes: From scalping to position trading
- All conditions: No adjustments needed for different instruments
Important Understanding : Price is a fractal structure with multiple initial conditions forming and clashing simultaneously. External events and market manipulation can interfere with natural system progression. This is why we provide probabilities, not certainties.
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Summary : This indicator gives you the framework—precise zones for entries, stops, and targets based on chaos theory mathematics. You provide the timing through confluence analysis. Together, this creates a complete, systematic approach to trading with probability on your side.
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## Technical Features & Alert System
### Alert System Enhancement
Alert Type Selector:
* "Limit Alerts" (pending orders) vs "Normal Alerts" (market orders)
* 8 fully customizable alert message templates with placeholder support:
* Limit Long Entry
* Limit Short Entry
* Normal Long Entry
* Normal Short Entry
* Limit Long TP/Cancel
* Limit Short TP/Cancel
* Normal Long TP
* Normal Short TP
### Placeholder System
Dynamic placeholder replacement function supporting:
* {SYMBOL} - Trading pair/instrument
* {ENTRY} - Entry price level
* {SL} - Stop loss price level
* {TP} - Take profit price level
* {COMMENT} - Additional trade notes
* {TIMEFRAME} - Current chart timeframe
* {TIME} - Alert trigger time
* {ZONE} - Zone identifier
Users can customize alert messages while maintaining data accuracy across all automated trading platforms.
### Alert Trigger Points
* Entry alerts fire when zone breakout occurs (i == 0)
* TP alerts fire when take profit conditions are met
* Unique zone identifiers prevent duplicate alerts per zone set (format: Z L/S )
### Input Parameters
Converted hardcoded values to adjustable inputs for maximum flexibility:
* Lookback Period : 10-500 (default 50)
* Value Area Share : 0.1-0.9 (default 0.3)
* Show Volume Profile Stats : Toggle on/off
* Has Premium Subscription : Toggle on/off
* Vertical Display : Toggle on/off
### Code Compliance
* All line.new(), label.new(), and table.new() calls formatted on single lines per PineScript v6 requirements
* Proper variable declarations to prevent compilation errors
* Optimized for maximum performance and stability
Core Logic : All original zone calculation, validation, and visualization logic remains intact and unchanged.
Trendlines Breakouts Pro V1.2 - 4TP [Wukong Algo]Trendlines Breakouts Pro
Trading method “High Tight Trendline Breakout”. This is a simple but effective and flexible method that can support many other methods such as: support and resistance, supply and demand, volume profile...
Automatically connect TradingView and MetaTrader 5 (MT5) for automatic trading and order management via PineConnector
The system includes a risk management grid including the levels: Stop Loss (SL), Break-even (BE), Trail Trigger, Trailing Stop, TP1 (1/4), TP2 (2/4), TP3 (3/4), TP4 (4/4). This grid helps you easily monitor and manage orders on TradingView in parallel with automatic order management on MT5.
Focus on tight capital and risk management, reduce emotion and stress when trading
Suitable for all markets: Forex, Gold, Crypto, Stocks, as long as you use MT5 and TradingView
If you do not need to trade automatically via MT5, the Trendlines Breakokuts Pro can also be used as an effective indicator in visual order management on TradingView charts, helps maintain discipline and good trading psychology (less Stress or FOMO)
Trendlines Breakouts Pro System User Guide
Step 1 - Draw trendline AB. Just click to select 2 points A, B on the chart
This is a straight line at the border of a chart pattern or support/resistance zone on the chart that you determine has high potential when it is broken, the price will have strong momentum and you will enter the order (Entry). The trendline AB can be a diagonal line or a horizontal line.
Step 2 - Entry Window: Set the time allowed for transactions
You can choose the earliest and latest time allowed for trading signals, called Entry Window. This means that the system will not allow trading outside the Entry Window. This option allows you to manage trading times as you wish, avoiding bad times for trading such as sideways, choppy, high volatility, news
Step 3 - Set up the input parameters for trading
You choose the direction you want to wait for trading: Wait Long (Buy), Wait Short (Sell), Turn Off, Hidden
You enter the ID of your PineConnector account if you want to trade automatically from TradingView to MT5
You enter the order parameters: Lotsize per order, Stop Loss (SL%), BE(%), Trail Trigger (%), TP1(%), TP2(%), TP3(%), TP4(%)
You enter the safe filter parameters for Entry: max distance from entry to swing high/low, max distance from entry to trendline's breakpoint C, max entries per trendlines
See more details in the screenshots
Step 4 - Set up automatic trading from TradingView via MT5
If you do not need automatic trading in MT5, skip this step. Entry signals and risk management grids will still be displayed on the TradingView chart for you to see, but there is no connection and automatic trading signal shooting and automatic order management from TradingView to MT5 via PineConnector.
We need to create an Alert in TradingView and attach it to this Indicator so that the Alert's trading signals are transmitted via MetaTrader 5 (MT5) via PineConnector.
When trading, you need to turn on 3 software at the same time to be able to connect to each other to operate: TradingView, MetaTrader 5 (MT5), PineConnector
See more details in the screenshots
Step 5 - Complete setup, and wait for trading signals
You have completed the setup steps for the Indicator, ready when there is a trading signal
You do not need to sit in front of the screen all day if you do not want. The system has been set up to execute and manage orders automatically.
Of course, sometimes you should still check your transaction status, in case of unexpected problems such as lost internet connection.
If you still have questions about this Indicator, please email tuanwukongvn@gmail.com for support.
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios
Summary
This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry.
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Overview
Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry.
• Anchors define the swing’s Low (L), High (H), and bar count (N).
• The user manually enters the VPOC (highest-volume price).
• The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement.
The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments.
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How to Use
1. Select a Swing
- Place Anchor A and Anchor B to define the swing’s Low, High, and bar count.
2. Find the VPOC
- Apply TradingView’s Fixed Range Volume Profile tool over the same swing.
- Identify the Point of Control (POC) — the price level with the highest traded volume.
3. Enter the VPOC
- Manually input the POC into the indicator settings.
4. Review Outputs
- The table will display candidate ratios expressed mainly as price-per-bar values.
5. Apply in Practice
- Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings.
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Outputs
Swing & Inputs
• Bars (N): total bar count of the swing.
• Low (L): swing low price.
• High (H): swing high price.
• ΔP = H − L: price range.
• Mid = (L + H) ÷ 2: midpoint price.
• VPOC (V): user-entered highest-volume price.
• Base slope s0 = ΔP ÷ N: average change per bar.
• π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry.
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VPOC Harmony Ratios (L, H, V, N)
• λ = (V − L) ÷ ΔP: normalized VPOC position within the range.
• R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment.
• s1 = (V − L) ÷ N: slope from Low → VPOC.
• s2 = (H − V) ÷ N: slope from VPOC → High.
________________________________________
Blended Means (s1, s2)
These combine the two segment slopes in different ways:
• HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope.
• GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally.
• RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope.
• L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined.
________________________________________
Slope Blends
• Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²)
• Tilted slope: s_tilt = s0 × (0.5 + λ)
• Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = −
________________________________________
Curvature & Liquidity Extensions
• π-arc × λ: s_arc = sπ × λ
• Liquidity-π: s_piV = sπ × (V ÷ Mid)
________________________________________
Scale-Normalized Families
With k = sqrt(H ÷ L):
• k (scale factor) = sqrt(H ÷ L)
• s_comp = s0 ÷ k: compressed slope candidate
• s_exp = s0 × k: expanded slope candidate
• Exponentiated blends:
- s_kλ = s0 × k^(2λ−1)
- s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618
- s_√2λ = s0 × (√2)^(2λ−1)
________________________________________
Practical Application
All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement.
These values are designed for:
• Chart compression settings
• Testing harmonic alignments across swings
• Liquidity-aware scaling experiments
________________________________________
Universal Renko Bars by SiddWolfUniversal Renko Bars or UniRenko Bars is an overlay indicator that applies the logic of Renko charting directly onto a standard candlestick chart. It generates a sequence of price-driven bricks, where each new brick is formed only when the price moves a specific amount, regardless of time. This provides a clean, price-action-focused visualization of the market's trend.
WHAT IS UNIVERSAL RENKO BARS?
For years, traders have faced a stark choice: the clean, noise-free world of Renko charts, or the rich, time-based context of Candlesticks. Choosing Renko meant giving up your favorite moving averages, volume profiles, and the fundamental sense of time. Choosing Candlesticks meant enduring the market noise that often clouds true price action.
But what if you didn't have to choose?
Universal Renko Bars is a revolutionary indicator that ends this dilemma. It's not just another charting tool; it's a powerful synthesis that overlays the pure, price-driven logic of Renko bricks directly onto your standard candlestick chart. This hybrid approach gives you the best of both worlds:
❖ The Clarity of Renko: By filtering out the insignificant noise of time, Universal Renko reveals the underlying trend with unparalleled clarity. Up trends are clean successions of green bricks; down trends are clear red bricks. No more guesswork.
❖ The Context of Candlesticks: Because the Renko logic is an overlay, you retain your time axis, your volume data, and full compatibility with every other time-based indicator in your arsenal (RSI, MACD, Moving Averages, etc.).
The true magic, however, lies in its live, Unconfirmed Renko brick. This semi-transparent box is your window into the current bar's real-time struggle. It grows, shrinks, and changes color with every tick, showing you exactly how close the price is to confirming the trend or forcing a reversal. It’s no longer a lagging indicator; it’s a live look at the current battle between buyers and sellers.
Universal Renko Bars unifies these two powerful charting methods, transforming your chart into a more intelligent, noise-free, and predictive analytical canvas.
HOW TO USE
To get the most out of Universal Renko Bars, here are a few tips and a full breakdown of the settings.
Initial Setup for the Best Experience
For the cleanest possible view, it's highly recommended that you hide the body of your standard candlesticks, that shows only the skelton of the candle. This allows the Renko bricks to become the primary focus of your chart.
→ Double click on the candles and uncheck the body checkbox.
Settings Breakdown
The indicator is designed to be powerful yet intuitive. The settings are grouped to make customization easy.
First, What is a "Tick"?
Before we dive in, it's important to understand the concept of a "Tick." In Universal Renko, a Tick is not the same as a market tick. It's a fundamental unit of price movement that you define. For example, if you set the Tick Size to $0.50, then a price move of $1.00 is equal to 2 Ticks. This is the core building block for all Renko bricks. Tick size here is dynamically determined by the settings provided in the indicator.
❖ Calculation Method (The "Tick Size" Engine)
This section determines the monetary value of a single "Tick."
`Calculation Method` : Choose your preferred engine for defining the Tick Size.
`ATR Based` (Default): The Tick Size becomes dynamic, based on market volatility (Average True Range). Bricks will get larger in volatile markets and smaller in quiet ones. Use the `ATR 14 Multiplier` to control the sensitivity.
`Percentage` : The Tick Size is a simple percentage of the current asset price, controlled by the `Percent Size (%)` input.
`Auto` : The "set it and forget it" mode. The script intelligently calculates a Tick Size based on the asset's price. Use the `Auto Sensitivity` slider to make these automatically calculated bricks thicker (value > 1.0) or thinner (value < 1.0).
❖ Parameters (The Core Renko Engine)
This group controls how the bricks are constructed based on the Tick Size.
`Tick Trend` : The number of "Ticks" the price must move in the same direction to print a new continuation brick. A smaller value means bricks form more easily.
`Tick Reversal` : The number of "Ticks" the price must move in the opposite direction to print a new reversal brick. This is typically set higher than `Tick Trend` (e.g., double) to filter out minor pullbacks and market noise.
`Open Offset` : Controls the visual overlap of the bricks. A value of `0` creates gapless bricks that start where the last one ended. A value of `2` (with a `Tick Reversal` of 4) creates the classic 50% overlap look.
❖ Visuals (Controlling What You See)
This is where you tailor the chart to your visual preference.
`Show Confirmed Renko` : Toggles the solid-colored, historical bricks. These are finalized and will never change. They represent the confirmed past trend.
`Show Unconfirmed Renko` : This is the most powerful visual feature. It toggles the live, semi-transparent box that represents the developing brick. It shows you exactly where the price is right now in relation to the levels needed to form the next brick.
`Show Max/Min Levels` : Toggles the horizontal "finish lines" on your chart. The green line is the price target for a bullish brick, and the red line is the target for a bearish brick. These are excellent for spotting breakouts.
`Show Info Label` : Toggles the on-chart label that provides key real-time stats:
🧱 Bricks: The total count of confirmed bricks.
⏳ Live: How many chart bars the current live brick has been forming. These bars forms the Renko bricks that aren't confirmed yet. Live = 0 means the latest renko brick is confirmed.
🌲 Tick Size: The current calculated value of a single Tick.
Hover over the label for a tooltip with live RSI(14), MFI(14), and CCI(20) data for additional confirmation.
TRADING STRATEGIES & IDEAS
Universal Renko Bars isn't just a visual tool; it's a foundation for building robust trading strategies.
Trend Confirmation: The primary use is to instantly identify the trend. A series of green bricks indicates a strong uptrend; a series of red bricks indicates a strong downtrend. Use this to filter out trades that go against the primary momentum.
Reversal Spotting: Pay close attention to the Unconfirmed Brick . When a strong trend is in place and the live brick starts to fight against it—changing color and growing larger—it can be an early warning that a reversal is imminent. Wait for the brick to be confirmed for a higher probability entry.
Breakout Trading: The `Max/Min Levels` are your dynamic breakout zones. A long entry can be considered when the price breaks and closes above the green Max Level, confirming a new bullish brick. A short entry can be taken when price breaks below the red Min Level.
Confluence & Indicator Synergy: This is where Universal Renko truly shines. Overlay a moving average (e.g., 20 EMA). Only take long trades when the green bricks are forming above the EMA. Combine it with RSI or MACD; a bearish reversal brick forming while the RSI shows bearish divergence is a very powerful signal.
A FINAL WORD
Universal Renko Bars was designed to solve a fundamental problem in technical analysis. It brings together the best elements of two powerful methodologies to give you a clearer, more actionable view of the market. By filtering noise while retaining context, it empowers you to make decisions with greater confidence.
Add Universal Renko Bars to your chart today and elevate your analysis. We welcome your feedback and suggestions for future updates!
Follow me to get notified when I publish New Indicator.
~ SiddWolf
BK AK-SILENCER (P8N)🚨Introducing BK AK-SILENCER (P8N) — Institutional Order Flow Tracking for Silent Precision🚨
After months of meticulous tuning and refinement, I'm proud to unleash the next weapon in my trading arsenal—BK AK-SILENCER (P8N).
🔥 Why "AK-SILENCER"? The True Meaning
Institutions don’t announce their moves—they move silently, hidden beneath the noise. The SILENCER is built specifically to detect and track these stealth institutional maneuvers, giving you the power to hunt quietly, execute decisively, and strike precisely before the market catches on.
🔹 "AK" continues the legacy, honoring my mentor, A.K., whose teachings on discipline, precision, and clarity form the cornerstone of my trading.
🔹 "SILENCER" symbolizes the stealth aspect of institutional trading—quiet but deadly moves. This indicator equips you to silently track, expose, and capitalize on their hidden footprints.
🧠 What Exactly is BK AK-SILENCER (P8N)?
It's a next-generation Cumulative Volume Delta (CVD) tool crafted specifically for traders who hunt institutional order flow, combining adaptive volatility bands, enhanced momentum gradients, and precise divergence detection into a single deadly-accurate weapon.
Built for silent execution—tracking moves quietly and trading with lethal precision.
⚙️ Core Weapon Systems
✅ Institutional CVD Engine
→ Dynamically measures hidden volume shifts (buying/selling pressure) to reveal institutional footprints that price alone won't show.
✅ Adaptive AK-9 Bollinger Bands
→ Bollinger Bands placed around a custom CVD signal line, pinpointing exactly when institutional accumulation or distribution reaches critical extremes.
✅ Gradient Momentum Intelligence
→ Color-coded momentum gradients reveal the strength, speed, and silent intent behind institutional order flow:
🟢 Strong Bullish (aggressive buying)
🟡 Moderate Bullish (steady accumulation)
🔵 Neutral (balance)
🟠 Moderate Bearish (quiet distribution)
🔴 Strong Bearish (aggressive selling)
✅ Silent Divergence Detection
→ Instantly spots divergence between price and hidden volume—your earliest indication that institutions are stealthily reversing direction.
✅ Background Flash Alerts
→ Visually highlights institutional extremes through subtle background flashes, alerting you quietly yet powerfully when market-moving players make their silent moves.
✅ Structural & Institutional Clarity
→ Optional structural pivots, standard deviation bands, volume profile anchors, and session lines clearly identify the exact levels institutions defend or attack silently.
🛡️ Why BK AK-SILENCER (P8N) is Your Edge
🔹 Tracks Institutional Footprints—Silently identifies hidden volume signals of institutional intentions before they’re obvious.
🔹 Precision Execution—Cuts through noise, allowing you to execute silently, confidently, and precisely.
🔹 Perfect for Traders Using:
Elliott Wave
Gann Methods (Angles, Squares)
Fibonacci Time & Price
Harmonic Patterns
Market Profile & Order Flow Analysis
🎯 How to Use BK AK-SILENCER (P8N)
🔸 Institutional Reversal Hunting (Stealth Mode)
Bearish divergence + CVD breaking below lower BB → stealth short signal.
Bullish divergence + CVD breaking above upper BB → quiet, early long entry.
🔸 Momentum Confirmation (Silent Strength)
Strong bullish gradient + CVD above upper BB → follow institutional buying quietly.
Strong bearish gradient + CVD below lower BB → confidently short institutional selling.
🔸 Noise Filtering (Patience & Precision)
Neutral gradient (blue) → remain quiet, wait patiently to strike precisely when institutional activity resumes.
🔸 Structural Precision (Institutional Levels)
Optional StdDev, POC, Value Areas, Session Anchors clearly identify exact institutional defense/offense zones.
🙏 Final Thoughts
Institutions move in silence, leaving subtle footprints. BK AK-SILENCER (P8N) is your specialized weapon for tracking and hunting their quiet, decisive actions before the market reacts.
🔹 Dedicated in deep gratitude to my mentor, A.K.—whose silent wisdom shapes every line of code.
🔹 Engineered for the disciplined, quiet hunter who knows when to wait patiently and when to strike decisively.
Above all, honor and gratitude to Gd—the ultimate source of wisdom, clarity, and disciplined execution. Without Him, markets are chaos. With Him, we move silently, purposefully, and precisely.
⚡ Stay Quiet. Stay Precise. Hunt Silently.
🔥 BK AK-SILENCER (P8N) — Track the Silent Moves. Strike with Precision. 🔥
May Gd bless every silent step you take. 🙏
Setup Score OscillatorSetup Score Oscillator – Full Description
🎯 Purpose of the Script
This script is a manual trading setup scoring tool, designed to help traders quantify the quality of a trade setup by combining multiple technical, cyclical, and contextual signals.
Instead of relying on a single indicator, the trader manually selects which signals are present, and the script calculates a total score (0–100%), displayed as an oscillator in a separate panel (like RSI or MACD).
🔧 How it works in practice
1. Manual signal inputs
The script presents a set of checkboxes in the settings, where the trader can enable/disable the following signals:
✅ Confirmed Support/Resistance
✅ Aligned Volume Profile
✅ Favorable Cyclic Timing
✅ Valid Trend Line
✅ Aligned Cyclical Moving Averages
✅ Relevant Fibonacci Level
✅ Classic Volume Signal (spike, dry-up, etc.)
✅ Oscillator confirmation (e.g., divergences)
✅ Extreme Sentiment
✅ Relevant or incoming News
Each selected signal contributes to the total score based on its weight.
2. Scoring system
Each signal has a default weight (e.g., 20% for support/resistance, 15% for cycles, etc.).
Optionally, the trader can enable the “custom weights” checkbox and adjust each signal’s weight directly in the settings.
3. Score visualization
The final score (sum of all active weights) is plotted as an oscillator ranging from 0 to 100%, with dynamic coloring:
Range Color Meaning
0–39% Red No valid setup
40–54% Yellow Watchlist only
55–69% Orange Good setup
70–100% Green Strong setup
Several horizontal threshold lines are displayed:
50% → neutral threshold
40%, 55%, 70% → operational levels
4. Optional background coloring
When the score exceeds 55% or 70%, the oscillator background lightly changes color to highlight stronger setups (non-intrusive).
📌 Practical benefits
Objectifies subjective analysis: each decision becomes a number.
Prevents overtrading: no entries if the score is too low.
Adaptable to any trading style: swing, intraday, positional.
User-friendly: no coding needed – just tick boxes.
Italiano:
Setup Score Oscillator – Descrizione completa
🎯 Obiettivo dello script
Lo script è uno strumento manuale di valutazione dei setup di trading, pensato per aiutare il trader a quantificare la qualità di un'opportunità operativa basandosi su più segnali tecnici, ciclici e contestuali.
Invece di affidarsi a un solo indicatore, il trader seleziona manualmente quali segnali sono presenti, e lo script calcola un punteggio complessivo percentuale (0–100%), rappresentato come oscillatore in una finestra separata (tipo RSI, MACD, ecc.).
🔧 Come funziona operativamente
1. Input manuale dei segnali
Lo script mostra una serie di checkbox nelle impostazioni, dove il trader può attivare o disattivare i seguenti segnali:
✅ Supporto/Resistenza confermata
✅ Volume Profile allineato
✅ Cicli o timing favorevole
✅ Trend line valida
✅ Medie mobili cicliche allineate
✅ Livello di Fibonacci rilevante
✅ Volume classico significativo (spike, dry-up)
✅ Conferme da oscillatori (es. divergenze)
✅ Sentiment estremo (es. euforia o panico)
✅ News importanti imminenti o appena uscite
Ogni casella attiva contribuisce al punteggio totale, con un peso specifico.
2. Sistema di punteggio
Ogni segnale ha un peso predefinito (es. 20% per supporti/resistenze, 15% per cicli, ecc.).
Facoltativamente, il trader può attivare la funzione “Enable custom weights” per personalizzare i pesi di ciascun segnale direttamente da input.
3. Visualizzazione del punteggio
Il punteggio complessivo (somma dei pesi attivati) viene tracciato come oscillatore da 0 a 100%, con colori dinamici:
Range Colore Significato
0–39% Rosso Nessun setup valido
40–54% Giallo Osservazione
55–69% Arancione Setup buono
70–1005 Verde Setup forte
Sono tracciate anche delle linee guida orizzontali a:
50% → soglia neutra
40%, 55%, 70% → soglie operative
4. Colorazione dello sfondo (facoltativa)
Quando il punteggio supera 55% o 70%, lo sfondo dell’oscillatore cambia leggermente colore per evidenziare il segnale (non invasivo).
📌 Vantaggi pratici
Oggettivizza l’analisi soggettiva: ogni decisione manuale si trasforma in un numero.
Evita overtrading: se il punteggio è troppo basso, non si entra.
Adattabile a ogni stile: swing, intraday, position.
Facile da usare anche senza codice: basta spuntare le caselle.
NVT Ratio Z-Score | [DeV]** DISCLAIMER: This indicator is not trend following, so it SHOULD NOT be a buy/sell signal or used as a stand alone indicator to tell you to buy or sell. It's simply giving insight into potential overbought or oversold market conditions, and should be used in conjunction with other market analysis tools to give you an idea of possible market reversals.**
The NVT Ratio Z-Score is a unique on-chain valuation tool that helps users assess whether Bitcoin is potentially overbought or oversold relative to its network fundamentals. This indicator calculates the Network Value to Transactions (NVT) ratio, which compares Bitcoin’s market capitalization (price × circulating supply) to the USD-denominated daily transaction volume on the network. To improve clarity and remove short-term noise, the NVT value is smoothed using a customizable moving average (NVT Smoothing Period). The smoothed value is then normalized using a Z-score over a rolling period (Normalization Lookback Period), allowing for easier comparison of extreme deviations over time. This normalization makes it possible to spot historically high or low valuation zones with consistency.
While the NVT Ratio Z-Score is not a price action or trend-following indicator, it excels as a valuation-based supplemental tool. By using this indicator alongside your existing technical setups—such as momentum oscillators (like RSI or MACD), moving averages, or volume profiles—you can gain a deeper perspective on whether the broader market is operating in an overheated or undervalued state.
Interpretation is straightforward: the lower the Z-score dips into negative territory, the more oversold the market may be, potentially indicating a bottoming process or future upward reversal. Conversely, higher Z-scores suggest the market is becoming overheated or overbought, which can precede pullbacks or broader downtrends. However, it’s crucial to remember: this is not a trend indicator. Overbought conditions don’t guarantee immediate downturns, and oversold conditions don’t guarantee immediate rallies. Markets can remain extended in either direction for prolonged periods.
Use the NVT Ratio Z-Score to contextualize price moves and strengthen conviction when your other tools show signals aligning with extreme valuation zones. This indicator is especially helpful for swing traders, long-term investors, and those analyzing Bitcoin through a macro-on-chain lens.
Ergodic Market Divergence (EMD)Ergodic Market Divergence (EMD)
Bridging Statistical Physics and Market Dynamics Through Ensemble Analysis
The Revolutionary Concept: When Physics Meets Trading
After months of research into ergodic theory—a fundamental principle in statistical mechanics—I've developed a trading system that identifies when markets transition between predictable and unpredictable states. This indicator doesn't just follow price; it analyzes whether current market behavior will persist or revert, giving traders a scientific edge in timing entries and exits.
The Core Innovation: Ergodic Theory Applied to Markets
What Makes Markets Ergodic or Non-Ergodic?
In statistical physics, ergodicity determines whether a system's future resembles its past. Applied to trading:
Ergodic Markets (Mean-Reverting)
- Time averages equal ensemble averages
- Historical patterns repeat reliably
- Price oscillates around equilibrium
- Traditional indicators work well
Non-Ergodic Markets (Trending)
- Path dependency dominates
- History doesn't predict future
- Price creates new equilibrium levels
- Momentum strategies excel
The Mathematical Framework
The Ergodic Score combines three critical divergences:
Ergodic Score = (Price Divergence × Market Stress + Return Divergence × 1000 + Volatility Divergence × 50) / 3
Where:
Price Divergence: How far current price deviates from market consensus
Return Divergence: Momentum differential between instrument and market
Volatility Divergence: Volatility regime misalignment
Market Stress: Adaptive multiplier based on current conditions
The Ensemble Analysis Revolution
Beyond Single-Instrument Analysis
Traditional indicators analyze one chart in isolation. EMD monitors multiple correlated markets simultaneously (SPY, QQQ, IWM, DIA) to detect systemic regime changes. This ensemble approach:
Reveals Hidden Divergences: Individual stocks may diverge from market consensus before major moves
Filters False Signals: Requires broader market confirmation
Identifies Regime Shifts: Detects when entire market structure changes
Provides Context: Shows if moves are isolated or systemic
Dynamic Threshold Adaptation
Unlike fixed-threshold systems, EMD's boundaries evolve with market conditions:
Base Threshold = SMA(Ergodic Score, Lookback × 3)
Adaptive Component = StDev(Ergodic Score, Lookback × 2) × Sensitivity
Final Threshold = Smoothed(Base + Adaptive)
This creates context-aware signals that remain effective across different market environments.
The Confidence Engine: Know Your Signal Quality
Multi-Factor Confidence Scoring
Every signal receives a confidence score based on:
Signal Clarity (0-35%): How decisively the ergodic threshold is crossed
Momentum Strength (0-25%): Rate of ergodic change
Volatility Alignment (0-20%): Whether volatility supports the signal
Market Quality (0-20%): Price convergence and path dependency factors
Real-Time Confidence Updates
The Live Confidence metric continuously updates, showing:
- Current opportunity quality
- Market state clarity
- Historical performance influence
- Signal recency boost
- Visual Intelligence System
Adaptive Ergodic Field Bands
Dynamic bands that expand and contract based on market state:
Primary Color: Ergodic state (mean-reverting)
Danger Color: Non-ergodic state (trending)
Band Width: Expected price movement range
Squeeze Indicators: Volatility compression warnings
Quantum Wave Ribbons
Triple EMA system (8, 21, 55) revealing market flow:
Compressed Ribbons: Consolidation imminent
Expanding Ribbons: Directional move developing
Color Coding: Matches current ergodic state
Phase Transition Signals
Clear entry/exit markers at regime changes:
Bull Signals: Ergodic restoration (mean reversion opportunity)
Bear Signals: Ergodic break (trend following opportunity)
Confidence Labels: Percentage showing signal quality
Visual Intensity: Stronger signals = deeper colors
Professional Dashboard Suite
Main Analytics Panel (Top Right)
Market State Monitor
- Current regime (Ergodic/Non-Ergodic)
- Ergodic score with threshold
- Path dependency strength
- Quantum coherence percentage
Divergence Metrics
- Price divergence with severity
- Volatility regime classification
- Strategy mode recommendation
- Signal strength indicator
Live Intelligence
- Real-time confidence score
- Color-coded risk levels
- Dynamic strategy suggestions
Performance Tracking (Left Panel)
Signal Analytics
- Total historical signals
- Win rate with W/L breakdown
- Current streak tracking
- Closed trade counter
Regime Analysis
- Current market behavior
- Bars since last signal
- Recommended actions
- Average confidence trends
Strategy Command Center (Bottom Right)
Adaptive Recommendations
- Active strategy mode
- Primary approach (mean reversion/momentum)
- Suggested indicators ("weapons")
- Entry/exit methodology
- Risk management guidance
- Comprehensive Input Guide
Core Algorithm Parameters
Analysis Period (10-100 bars)
Scalping (10-15): Ultra-responsive, more signals, higher noise
Day Trading (20-30): Balanced sensitivity and stability
Swing Trading (40-100): Smooth signals, major moves only Default: 20 - optimal for most timeframes
Divergence Threshold (0.5-5.0)
Hair Trigger (0.5-1.0): Catches every wiggle, many false signals
Balanced (1.5-2.5): Good signal-to-noise ratio
Conservative (3.0-5.0): Only extreme divergences Default: 1.5 - best risk/reward balance
Path Memory (20-200 bars)
Short Memory (20-50): Recent behavior focus, quick adaptation
Medium Memory (50-100): Balanced historical context
Long Memory (100-200): Emphasizes established patterns Default: 50 - captures sufficient history without lag
Signal Spacing (5-50 bars)
Aggressive (5-10): Allows rapid-fire signals
Normal (15-25): Prevents clustering, maintains flow
Conservative (30-50): Major setups only Default: 15 - optimal trade frequency
Ensemble Configuration
Select markets for consensus analysis:
SPY: Broad market sentiment
QQQ: Technology leadership
IWM: Small-cap risk appetite
DIA: Blue-chip stability
More instruments = stronger consensus but potentially diluted signals
Visual Customization
Color Themes (6 professional options):
Quantum: Cyan/Pink - Modern trading aesthetic
Matrix: Green/Red - Classic terminal look
Heat: Blue/Red - Temperature metaphor
Neon: Cyan/Magenta - High contrast
Ocean: Turquoise/Coral - Calming palette
Sunset: Red-orange/Teal - Warm gradients
Display Controls:
- Toggle each visual component
- Adjust transparency levels
- Scale dashboard text
- Show/hide confidence scores
- Trading Strategies by Market State
- Ergodic State Strategy (Primary Color Bands)
Market Characteristics
- Price oscillates predictably
- Support/resistance hold
- Volume patterns repeat
- Mean reversion dominates
Optimal Approach
Entry: Fade moves at band extremes
Target: Middle band (equilibrium)
Stop: Just beyond outer bands
Size: Full confidence-based position
Recommended Tools
- RSI for oversold/overbought
- Bollinger Bands for extremes
- Volume profile for levels
- Non-Ergodic State Strategy (Danger Color Bands)
Market Characteristics
- Price trends persistently
- Levels break decisively
- Volume confirms direction
- Momentum accelerates
Optimal Approach
Entry: Breakout from bands
Target: Trail with expanding bands
Stop: Inside opposite band
Size: Scale in with trend
Recommended Tools
- Moving average alignment
- ADX for trend strength
- MACD for momentum
- Advanced Features Explained
Quantum Coherence Metric
Measures phase alignment between individual and ensemble behavior:
80-100%: Perfect sync - strong mean reversion setup
50-80%: Moderate alignment - mixed signals
0-50%: Decoherence - trending behavior likely
Path Dependency Analysis
Quantifies how much history influences current price:
Low (<30%): Technical patterns reliable
Medium (30-50%): Mixed influences
High (>50%): Fundamental shift occurring
Volatility Regime Classification
Contextualizes current volatility:
Normal: Standard strategies apply
Elevated: Widen stops, reduce size
Extreme: Defensive mode required
Signal Strength Indicator
Real-time opportunity quality:
- Distance from threshold
- Momentum acceleration
- Cross-validation factors
Risk Management Framework
Position Sizing by Confidence
90%+ confidence = 100% position size
70-90% confidence = 75% position size
50-70% confidence = 50% position size
<50% confidence = 25% or skip
Dynamic Stop Placement
Ergodic State: ATR × 1.0 from entry
Non-Ergodic State: ATR × 2.0 from entry
Volatility Adjustment: Multiply by current regime
Multi-Timeframe Alignment
- Check higher timeframe regime
- Confirm ensemble consensus
- Verify volume participation
- Align with major levels
What Makes EMD Unique
Original Contributions
First Ergodic Theory Trading Application: Transforms abstract physics into practical signals
Ensemble Market Analysis: Revolutionary multi-market divergence system
Adaptive Confidence Engine: Institutional-grade signal quality metrics
Quantum Coherence: Novel market alignment measurement
Smart Signal Management: Prevents clustering while maintaining responsiveness
Technical Innovations
Dynamic Threshold Adaptation: Self-adjusting sensitivity
Path Memory Integration: Historical dependency weighting
Stress-Adjusted Scoring: Market condition normalization
Real-Time Performance Tracking: Built-in strategy analytics
Optimization Guidelines
By Timeframe
Scalping (1-5 min)
Period: 10-15
Threshold: 0.5-1.0
Memory: 20-30
Spacing: 5-10
Day Trading (5-60 min)
Period: 20-30
Threshold: 1.5-2.5
Memory: 40-60
Spacing: 15-20
Swing Trading (1H-1D)
Period: 40-60
Threshold: 2.0-3.0
Memory: 80-120
Spacing: 25-35
Position Trading (1D-1W)
Period: 60-100
Threshold: 3.0-5.0
Memory: 100-200
Spacing: 40-50
By Market Condition
Trending Markets
- Increase threshold
- Extend memory
- Focus on breaks
Ranging Markets
- Decrease threshold
- Shorten memory
- Focus on restores
Volatile Markets
- Increase spacing
- Raise confidence requirement
- Reduce position size
- Integration with Other Analysis
- Complementary Indicators
For Ergodic States
- RSI divergences
- Bollinger Band squeezes
- Volume profile nodes
- Support/resistance levels
For Non-Ergodic States
- Moving average ribbons
- Trend strength indicators
- Momentum oscillators
- Breakout patterns
- Fundamental Alignment
- Check economic calendar
- Monitor sector rotation
- Consider market themes
- Evaluate risk sentiment
Troubleshooting Guide
Too Many Signals:
- Increase threshold
- Extend signal spacing
- Raise confidence minimum
Missing Opportunities
- Decrease threshold
- Reduce signal spacing
- Check ensemble settings
Poor Win Rate
- Verify timeframe alignment
- Confirm volume participation
- Review risk management
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
The ergodic framework provides unique market insights but cannot predict future price movements with certainty. Always use proper risk management, conduct your own analysis, and never risk more than you can afford to lose.
This tool should complement, not replace, comprehensive trading strategies and sound judgment. Markets remain inherently unpredictable despite advanced analysis techniques.
Transform market chaos into trading clarity with Ergodic Market Divergence.
Created with passion for the TradingView community
Trade with insight. Trade with anticipation.
— Dskyz , for DAFE Trading Systems
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
Position Cost DistributionThe Position Cost Distribution indicator (also known as the Market Position Overview, Chip Distribution, or CYQ Algorithm) provides an estimate of how shares are distributed across different price levels. Visually, it resembles the Volume Profile indicator, though they rely on distinct computational approaches.
🟠 Principle
The Position Cost Distribution algorithm is based on the principle that a security's total shares outstanding usually remains constant, except under conditions like stock splits, reverse splits, or new share issuance. It views all trading activity as simply exchanging share positions between holders at different price points.
By analyzing daily trade volume and the prior day's distribution, the algorithm infers the resulting share distribution after each day. By tracking these inferred transpositions over time, the indicator builds up an aggregate view of the estimated share concentration at each price level. This provides insights into potential buying and selling pressure zones that could form support or resistance areas.
Together with the Volume Profile, the Position Cost Distribution gives traders multiple lenses for examining market structure from both a volume and positional standpoint. Both can help identify meaningful technical price levels.
🟠 Algorithm
The algorithm initializes by allocating all shares to the price range encompassed by the first bar displayed on the chart. Preferably, the chart window should include the stock's IPO date, allowing the model to distribute shares specifically to the IPO price.
For subsequent trading sessions, the indicator performs the following calculations:
1. The daily turnover ratio is calculated by dividing the bar's trading volume by total outstanding shares.
2. For each price level (bucket), the number of shares is reduced by the turnover amount to represent shares transferring from existing holders.
3. The bar's total volume is then added to buckets corresponding to that period's price range.
Currently, the model assumes each share has an equal probability of being exchanged, regardless of how long ago it was acquired or at what price. Potential optimizations could incorporate factors like making shares held longer face a smaller chance of transfer compared to more recently purchased shares.
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中文介绍：该指标为“筹码分布”的一个 TradingView 实现 :)
PhantomFlow AccumulationDetectorThe PhantomFlow AccumulationDetector indicator analyzes the volume profile and displays potential accumulation based on the selected timeframe in the settings. This indicator can be used both as zones for trend following and for identifying reversals, as shown in the examples on the chart. The logic behind the formation of the accumulation zone is based on the fact that the POC (Point of Control) of the current zone is within the Volume Area range of the previous period.
Optimal settings for the working timeframe should be chosen visually, and the size of the zones should not be too large or too small. Additionally, it's advisable not to consider overly wide zones during increased volatility.
Consecutive zones within the same range often indicate a potential reversal.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
FFH Market structure v1The indicator determines the trend, its direction, confirmed trend, trend breakout levels (BoS), sideways ranges, volume profile point of control levels (vPoC) - all of this is conveniently displayed on the chart and helps complement your technical analysis.
The main idea of the script is to trade volume profile levels (vPoC) by identifying trends and sideways ranges. The script detect them and provides signals as soon as it detects a reaction from a volume level. You then complement these signals with your own technical analysis and make a decision to enter a trade. The script was developed solely to facilitate trading and address the issue of convenient visualization. Structure breakout levels are displayed as additional confirmations for making trading decisions. If we form a sideways range below/above such a trading level, it is a strong signal for me.
For sideways ranges, a volume level is calculated (vPoC), which also serves as input information for the signal engine. Signals are generated based on volume levels, with the calculation of stop loss (SL) and take profit (TP) levels. The SL is set at a certain percentage of the range boundaries or the previous high/low, as specified by a parameter. Targets are calculated intelligently based on trend reversal levels and volume levels.
The indicator parameters are individually tailored to each coin. The number of bars to determine the high/low is adjusted, as well as the allowable price deviation for defining the range boundaries on the first level. There are three modes for determining the sideways range, and data sources for highs/lows can be chosen (high/low/candle close, etc.). To make it more convenient for you to work with the indicator, there is an algorithm for automatic parameter adjustment built-in.
Currently script _only_ works for:
* BTC on 1-hour, 4-hour, and 1-day timeframes.
* ETC on 1-hour, 4-hour, and 1-day timeframes.
* Any altcoin on a 1-day timeframe.
The script will be beneficial to both novice traders, helping them understand market structure, sideways ranges, and identifying structure breakouts, as well as experienced traders, facilitating the process of plotting market structure elements on the chart and making trading decisions.
In any case, this script is not an investment idea.
All trading decisions you make based on the script are made independently and at your own risk.
Supply and Demand Daily [LuxAlgo]The Supply and Demand Daily indicator displays daily supply and demand areas on the user's chart. These areas are constructed using the market data within a previous daily interval.
This script makes use of the same logic as our previous Supply and Demand Visible Range indicator .
🔶 USAGE
The supply/demand areas & levels displayed by the indicator aim to provide potential support/resistance levels for users. Supply areas highlight where buyers are willing to exit the market and sell the asset, thus providing resistance and potentially causing prices to reverse or bounce back downwards, while demand areas highlights where buyers were willing to purchase the asset, thus providing support and potentially causing prices to reverse or bounce back upwards.
Historical areas allow the user to study the evolution of supply/demand from one day to another. Wider areas highlight prices avoiding reverting to this area, while thinner areas highlight prices returning more frequently to them.
Trends can be determined by looking at the price position relative to the previous day's supply/demand areas. Price breaking down from the demand zone is indicative of a downtrend, while price breaking above the supply zone is indicative of an uptrend.
Pullback/throwback scenarios can also be common using this indicator.
🔶 SETTINGS
Threshold %: Percentage of the total visible range volume used as a threshold to set supply/demand areas. Higher values return wider areas.
Resolution: Determines the number of bins used to find each area. Higher values will return more precise results.
Intra-bar TF: Timeframe used to obtain intra-bar data.
🔶 RELATED SCRIPTS
OBVoscillatorTitle: OBV Oscillator
Author: OsborneCapital
The OBV (On Balance Volume) Oscillator developed by OsborneCapital is a distinctive variant from commonly published OBV indicators. This script capitalizes on the primary concept of the OBV, which is to cumulatively add or subtract the entire volume of each bar to a total, based on whether the closing price was higher or lower than the previous close. However, the OBV Oscillator by OsborneCapital improves upon this by introducing an additional layer of analysis.
Key Differences:
Oscillator Formulation:
The original OBV serves as a cumulative measure of buying and selling pressure. It does not naturally oscillate around a zero line. This script transforms OBV into an oscillator, offering a normalized view around a baseline (zero) for a more intuitive interpretation of buying and selling pressure.
Normalized Scaling:
The OBV Oscillator scales the OBV values down by a user-defined factor (default 1000), helping adapt the indicator to the magnitudes of the underlying market's volume profile.
Moving Average Comparison:
This script compares the scaled OBV with a Moving Average (MA) over a user-defined period, enhancing the visibility of divergences and convergences between volume trends and price action.
Usage:
The OBV Oscillator by OsborneCapital provides visual cues about the underlying buying or selling pressure, which is not directly visible from the price chart:
- Above zero line: Suggests the dominance of buying pressure, which may indicate an ongoing bullish sentiment.
- Below zero line: Indicates the dominance of selling pressure, hinting at bearish sentiment.
- Crossing the zero line: A change in the trend's direction, from bullish to bearish or vice versa.
Markets and Conditions:
The OBV Oscillator can be used across various markets, including but not limited to stocks, forex, cryptocurrencies, commodities, and futures. As this script fundamentally builds on volume analysis, it tends to be more effective in markets where volume information is reliable and significant.
It's always recommended to use this tool in conjunction with other indicators and analysis methods, as it mainly provides insights into volume trends and doesn't consider price levels or price-based trends. The indicator can be particularly effective in identifying potential breakouts when there's a divergence between the OBV Oscillator and the price trend.
Please remember, no indicator alone can guarantee success in trading, and a comprehensive approach, including risk management, should always be employed.
Halfback + One-Time-Framing BarsThis indicator is designed to be used with Market Profile / Volume Profile trading techniques on a 30min chart.
The halfback of a candle is the mid point between the high and the low of the candle. A halfback trade can be taken once price retraces into this point as support/resistance using the prevailing trend as your trade direction.
One-Time-Framing is a fancy term for trending in one direction. One-Time-Framing happens when a candle breaks the previous candle's high without testing the low or when a candle breaks the low of the previous candle without testing the high. This indicates that the trend is one directional and opposing pressure is very weak. Taking trades in the opposing direction of multiple OTF bars is typically a bad trade setup.
Halfback and OTF setups are typically used on a 30min timeframe combined with Market or Volume Profile, but you can experiment with these setups on any timeframe if you wish.
I hope you all enjoy this indicator, comment below if you have any questions.
Koalafied Volume Extension BubblesCircles based on extensions from volume Z-Score. Large volume candles can often signal exhaustion or show market strength in reversals or breakouts. Circles can be offset back to the start of the day/profile or left at the time where they occur.
Colours denoting deviations from the mean are
+2 std dev - Green
+1 std dev - Blue
-1 std dev - Red
-2 std dev - Purple
Concept is primarily as a pseudo volume profile delta tool. Obviously it's a very basic heuristic so would recommend further reading and use of actually footprint data to base trading decisions on.
