90% WR Buy/Sell Cloud ( Infinite money glitch) The Cheat code:The Official Manual Tradingview took down my last indicator..?
Maybe it was working too well..
Disclaimer: I am not a financial advisor. I do not give financial advice. This indicator and my commentary are for educational purposes only. You are responsible for your own trades.
I built this indicator to show you exactly what I see in the market. The coding is complex so your decision-making can be simple. Here is how to use common sense and read the chart properly to replicate the structure I see.
1. General Trading Principles (The Mindset)
To succeed with this system, you need discipline.
Take Profits: Do not be greedy. When the move happens, pay yourself.
Use Stop Losses: Protect your capital. Never let a trade run wild.
The -99% Rule: You should never hold a position—mine or anyone else's—down to -99%. If the structure breaks, get out.
Be Active: Have your charts pulled up. If you have the indicator on your screen, you don’t need to wait for anyone to tell you what to do—the exit signals are right there.
2. The "Box of EMAs" (Your GPS)
This feature is literal. It removes the guesswork.
Red EMAs Going Down: The market is bearish. We are going down. Do not look for buys.
Curling Up: Bullish momentum is starting.
The Strategy: Use this to confirm the trend on Higher Time Frames (30m to Daily). If your Daily and 4-Hour EMAs are curling, the probability is in your favor.
3. The Cloud (Structure & Refusal)
Think of the Cloud as the floor or the ceiling.
Below the Cloud: It acts as Resistance. Look for price to hit the cloud and reject (Refusal).
Above the Cloud: It acts as Support. Look for the bounce.
The Rule: If the Box of EMAs is red and you are below a red Cloud, do not fight it. The trend is your friend until it bends.
4. Clean Up Your Charts
I added extra features because people asked for them, but for the best results, turn off the noise.
My Recommended Setup:
KEEP: Order Blocks, The Cloud, Buy/Sell Signals, Table Dashboard.
TURN OFF: Everything else.
Why? You need clarity to see the structure, not clutter.
5. ***Hidden***
6. The "False Signal" Myth (Read This)
I see people claiming "false signals" on the 5-minute chart. Let me be clear: There is no repaint.
Here is how the code works:
A signal may appear during the formation of a candle if conditions are met.
If price moves and those conditions are no longer met before the candle closes, the signal will disappear. This is not repainting; this is real-time data.
Repainting is when a signal pops up on a candle minutes or hours after it has already closed. My indicator does not do that.
Solution: Wait for the candle close to confirm the signal, or understand that an open candle is fluid.
I haven't lost using this and hopefully you don't either. I've debated on even posting this, as really it shouldn't even be out there—but for the lucky few that snag it, enjoy it while you can. Cheers.
Money Flow Index (MFI)
Normalized Volume Dynamics [NVD]Concept & Overview
**Normalized Volume Dynamics (NVD)** is a volume analysis indicator designed to reduce time-of-day noise and highlight unusual volume behavior relative to historical conditions.
Most standard volume indicators compare current volume to a rolling average, which can lead to misleading readings during naturally active periods.
**NVD** addresses this by using a time-normalized volume baseline, comparing the current bar’s volume to volume observed at the same intraday bar position across prior sessions, rather than to a generic moving average.
This approach helps distinguish expected activity from statistically abnormal volume.
**Market Suitability**
The time-normalized logic depends on consistent intraday data structure.
**Crypto (24/7 Markets):**
Continuous trading provides consistent intraday alignment, making normalization most reliable.
**Futures:**
Continuous futures contracts with minimal session gaps generally work well.
**Stocks & Forex:**
Session gaps, holidays, and irregular trading hours may introduce minor baseline drift. While the indicator remains functional, continuous markets are preferred for best accuracy.
**How the Indicator Works**
NVD combines three core components:
**1. Time-Normalized Volume Baseline**
Current volume is compared against the average volume of the same intraday bar position over prior sessions.
* Filters out predictable time-based volume patterns
* Highlights volume that exceeds what is historically typical for that point in the session
* Automatically falls back to a smoothed volume average on non-intraday charts or limited history
**2. Efficiency Oscillator (Lower Panel)**
The histogram evaluates the relationship between price movement and volume effort, showing how efficiently price is moving.
Color interpretation:
* **Green Columns:** Buying pressure with high efficiency (Trend is healthy).
* **Red Columns:** Selling pressure with high efficiency.
* **Yellow Columns:** Volume Spike. Abnormal volume detected (2x average) indicating a potential breakout or exhaustion.
* **Grey Columns:** Absorption/Churn. Volume is present but price is not moving significantly. This often happens before a violent move
**3. Informational Flow Signals (Main Chart)**
The indicator can mark candles where unusual volume coincides with price rejection. These markers are informational and require multiple conditions:
* Volume exceeds the selected baseline by a user-defined multiplier
* Price makes a new local high or low but closes back within the candle range, indicating rejection
* Optional Money Flow Index (MFI) filter confirms an overbought or oversold condition
**Dashboard Overview**
An optional dashboard provides a compact summary of the indicator’s internal states for quick reference.
The dashboard displays:
**Trend State (ADX)**
* Uses ADX to classify conditions as **TRENDING** or **RANGING**
* Helps contextualize whether volume behavior is occurring in a directional environment
**Flow Bias**
* Derived from the Efficiency Oscillator and VWAP relationship
* Displays:
**BUYING**
**SELLING**
**ABSORPTION** (low efficiency / churn)
* An arrow indicates whether price is positioned above or below VWAP
**Volume Status**
* Indicates whether current volume qualifies as a high-volume condition relative to the selected baseline
* Matches the logic used for histogram coloring and informational markers
**Multi-Timeframe Support**
* The dashboard can optionally run on a separate timeframe
* Users may choose to sync the histogram with the dashboard timeframe or keep it on the chart timeframe
*Note: The dashboard summarizes internal calculations and does not generate independent trade signals. All values update on confirmed bars.*
**How to Trade: "INFO" Signals**
The chart arrows are labeled **INFO BUY** and **INFO SELL** to emphasize that these are informational warnings of stopping volume, not blind entry signals.
**INFO BUY (Green Arrow):**
* **The Logic:** Sellers pushed price to a low, but massive volume entered to absorb the sell pressure, forcing a close in the upper range. This is a "Bear Trap" or Liquidity Sweep.
* **Usage:** If you are Short, this is a warning to tighten stops. If looking for Longs, wait for price to break the high of the signal candle for confirmation.
**INFO SELL (Red Arrow):**
* **The Logic:** Buyers pushed price to a high, but massive volume entered to block the move, forcing a close in the lower range. This is a "Bull Trap."
* **Usage:** If you are Long, this indicates overhead resistance/supply. If looking for Shorts, wait for price to break the low of the signal candle.
**Features & Settings**
* Time-Normalized or Recent-Average volume calculation modes
* Efficiency histogram with absorption and volume spike detection
* Optional MFI filter for informational signals
* VWAP-based contextual filter
* Dashboard showing trend state, flow bias, and volume status
* Non-repainting alerts triggered on bar close
**Recommended Usage**
* Higher timeframes (5m and above) generally provide clearer structure
* On lower timeframes, increasing the analysis period can help reduce noise
* Designed to be used as a supporting analysis tool, not a standalone system
**Disclaimer**
*This indicator is provided strictly for educational and informational purposes. It does not constitute financial, investment, trading, or other professional advice.*
*All calculations, visualizations, and signals produced by this indicator are derived solely from historical price and volume data. No representation is made that the indicator can predict future market behavior or outcomes. Any interpretations drawn from its output are the sole responsibility of the user.*
*Trading and investing involve substantial risk, including the possible loss of all or more than the initial capital. Market conditions can change rapidly, and past market behavior, patterns, or indicator performance do not guarantee similar results in the future.*
*The informational markers, alerts, dashboard readings, and histogram values generated by this indicator are not trade recommendations and should not be used as the sole basis for making trading decisions. Users are encouraged to combine this tool with their own analysis, risk management, and confirmation methods.*
*The author assumes no responsibility or liability for any trading decisions, losses, or damages resulting directly or indirectly from the use of this indicator. By using this script, you acknowledge that you are solely responsible for your trading decisions and outcomes.*
*Use at your own risk.*
FestX VSTFestX NY Session Volume Framework is a session-based momentum and liquidity indicator designed specifically for the New York market open.
The script focuses on time-based market behaviour, filtering signals to only occur at precise session transitions where institutional volume is statistically higher.
Core Concepts Used:
• Session Transition Logic
Signals are only evaluated when the New York trading session opens, eliminating noise from low-liquidity periods.
• Relative Volume Expansion
Instead of raw volume, the script compares current volume against a rolling average to detect abnormal participation at the session open.
• Directional Candle Validation
Entry bias is derived from the relationship between candle open and close at the session trigger, aligning trades with immediate momentum.
• Optional Session Range Context
The tool can be used alongside Asian session highs and lows to identify continuation or reversal behaviour after range compression.
What Makes This Script Different:
This indicator does not attempt to predict direction throughout the day.
It deliberately restricts signals to one specific institutional window, using volume expansion + price acceptance to confirm direction.
This design reduces overtrading and focuses traders on high-quality, time-based opportunities rather than constant signals.
Intended Use:
• NY session open traders
• Index and futures traders
• Traders seeking confirmation at session transitions
This script is not a traditional trend indicator or oscillator and is best used as a contextual decision tool, not a standalone signal generator.
Momentum & Flow PanelA lower-panel indicator for institutional flow analysis:
RSI with automatic divergence detection
Money Flow Index (MFI) - volume-weighted momentum
Chaikin Money Flow (CMF) - accumulation/distribution
OBV trend analysis
Stochastic RSI
Force Index
Composite Scores: Momentum (0-100) + Flow (0-100) → Combined Assessment
Fluxion Oscillator [Kodexius]Fluxion Oscillator is a multi dimensional momentum and flow toolkit designed to highlight exhaustion, reversals and confluence in a very compact way. The script combines a normalized trend oscillator, volume sensitive money movement, a volatility gauge and a visual confluence gauge that all sit in a single pane.
Instead of focusing on a single signal, Fluxion looks at the interaction between price, momentum and volume. The core oscillator tracks the relationship between a fast and a slow response of price, then rescales it into a stable 0 to 100 band. A companion flow line tracks how actively price is being supported or pressured by volume. On top of that, a volatility based gauge and an overbought or oversold reversal layer help highlight when moves are stretched and vulnerable.
The result is an environment where you can quickly see:
-When momentum is expanding or fading
-When price swings are supported or rejected by volume
-Where local tops or bottoms can be forming through divergence
-How strong the current push is in the context of recent volatility
-A compact gauge that visually ranks the current state from “minimum” to “maximum” pressure
It is not a trading system by itself, but a framework that makes it much easier to build rules and confluence around your own strategy.
⭐ Features
Normalized Fluxion Oscillator
Core oscillator built from the difference between a fast and a slow smoothing of the chosen source.
Automatically normalized into a bounded range so it behaves consistently across symbols and timeframes.
Dual line structure: the main line and a signal line, making crossovers easy to read.
Dynamic fill that shifts color depending on whether the main line is above or below the signal line.
Bullish and Bearish Crosses
Visual circles highlighting when the main oscillator crosses its signal line upward or downward.
Bullish crosses emphasize potential momentum ignition after downside pressure.
Bearish crosses emphasize potential cooling of momentum after upside pressure.
Money Flow Layer
Separate line that blends price and volume over a configurable lookback.
Smoothed to reduce noise and plotted around a central balance level.
Colored region that clearly shows whether buying pressure or selling pressure dominates.
Divergence Detection Suite
Automatic detection of regular bullish and regular bearish divergences between price and the normalized oscillator.
Optional hidden bullish and hidden bearish divergences for continuation setups.
Uses pivot based swing points so the lines attach to meaningful highs and lows instead of random wiggles.
All divergence types can be toggled independently so you can keep the chart as clean as you like.
Volatility and Positioning Gauge
A compact gauge that evaluates where the current price sits relative to a volume weighted average and its recent typical fluctuation.
Colors shift as price moves from neutral to stretched zones in either direction.
Background highlighting above and below the oscillator scale to reflect when this gauge is in an extreme region.
Helps quickly see whether you are buying into strength after a large extension or stepping in near value.
Reversal Signals With Volume Confirmation
A higher time sensitivity reversal metric based on a 0 to 100 scale of recent price changes.
Signals are only highlighted when there is also a short burst in volume, so quiet market noise is reduced.
Bearish reversal markers appear in the upper region, bullish markers in the lower region, giving a clear visual “top” and “bottom” feel.
Confluence Gauge
Right side grid composed of horizontal bands, from “Min” at the bottom to “Max” at the top.
Each band reflects a segment of a smoothed, range based momentum reading that tracks how far price has advanced within its recent 0 to 100 window.
The currently active band is highlighted in green for bullish momentum or red for bearish momentum, depending on the relationship between fast and slow lines within that range.
A pointer and labels make it obvious where the current environment sits relative to the full range of possible conditions.
Divergence Core
Users can define the pivot length to control how strict and how far apart swing points should be.
High Customization
Adjustable lookback lengths for the core oscillator, signal smoothing and normalization.
Separate controls for money flow length and smoothing.
Optional toggles for each divergence type so you can focus only on the structures you care about.
⭐ Calculations
This section explains conceptually how Fluxion works without exposing the full underlying formula details. The goal is to help you understand what each component represents and how it behaves, so you can use it more effectively.
Fluxion Oscillator Core
The foundation of the indicator is the difference between two smoothed versions of the selected price source. One reacts more quickly to new price information, the other reacts more slowly.
When the fast curve is above the slow curve, the oscillator becomes positive, signaling that short term action is advancing faster than the background trend. When the fast curve is below the slow curve, it becomes negative, indicating short term weakness.
This raw difference is then normalized over a rolling window. The highest and lowest values in that window are used to rescale the oscillator into a 0 to 100 band. This produces a stable, comparable scale across markets and timeframes.
A secondary smoothing of the oscillator creates the signal line. The interaction between the main line and this signal is used to color the fill region and locate cross events.
Money Flow Construction
The money flow line is based on how price closes within its candle range combined with the traded volume. Up candles with strong closes and high volume contribute positively, while down candles with weak closes and high volume contribute negatively.
These contributions are aggregated over a configurable period to create a net “pressure” measure. The result represents how aggressively participants have been positioning over that window, not just whether price went up or down.
The line is then smoothed to reduce micro noise and plotted around a central balance level, here set at 50. Values above the balance zone suggest net positive pressure, values below suggest net negative pressure.
An additional internal threshold is used to detect when this pressure stays on one side of the balance area long enough to be considered an “overflow,” which helps detect sustained accumulation or distribution phases.
Volatility and Positioning Gauge
The gauge computes a volume weighted average price over a user defined period. This gives more weight to prices at which more volume was traded.
It then evaluates how far the current price is from that volume weighted center, relative to the typical price variation around it. This creates a standardized distance measure that tells you how stretched price is from its recent fair zone.
When the distance becomes significantly positive, the market is considered extended upward. When it becomes significantly negative, it is extended downward. Intermediate thresholds are used to create “warning” and “extreme” zones.
Background fills at the top and bottom of the panel change based on this standardized distance, visually indicating when the market is moving into overextended territory that often precedes mean reversion or at least slowing of the move.
Reversal Metric With Volume Filter
A separate 0 to 100 style momentum score is calculated over a mid length window. It evaluates recent gains and losses in price to produce a relative strength measure of the current move.
Upper and lower thresholds on this score are used to mark areas where price action is historically stretched to the upside or downside.
This alone would generate many signals, so a volume based filter is added. Reversal markers are only displayed when this momentum score is in an extreme area and volume has shown a short term pickup.
This combination gives more weight to reversals that occur during active trading, where trapped positions and forced unwinds are more likely.
Divergence Engine
The divergence logic scans for swing highs and swing lows in the normalized oscillator and in price. Swing points are defined by requiring a certain number of bars on both sides of the pivot, which you can configure via the divergence length input.
For regular bullish divergence:
Price makes a lower low, indicating apparent weakness.
The oscillator makes a higher low over the same general region, indicating that internal momentum is actually improving.
If both conditions are met within a valid bar distance, a bullish divergence line is drawn from the prior oscillator pivot to the new one.
For regular bearish divergence:
Price makes a higher high, suggesting continued strength.
The oscillator makes a lower high, showing that underlying momentum is waning.
The engine checks that both pivot structures appear within an allowed time frame, then draws a bearish line between the oscillator peaks.
Hidden divergences are handled in a similar way, except the direction of price and oscillator swings is reversed, which makes them suitable for trend continuation contexts instead of reversal contexts.
Confluence Gauge
The grid on the right converts a smoothed, range based momentum reading into ten equal bands. This momentum reading looks at where the current value sits between the lowest and highest readings of a recent window, then rescales it into a 0 to 100 scale.
That 0 to 100 value is divided into ten slices of ten points each. For example, 0 to 10 is the lowest band, 90 to 100 is the top band.
The algorithm then checks whether the fast component of this reading is above or below its slower companion. If fast is above slow, it is treated as bullish pressure and the active band is colored in green. If fast is below slow, it is treated as bearish pressure and the active band is colored in red.
A pointer label is placed alongside the active band and “Max” and “Min” markers are drawn above and below the grid. This creates a compact visual where you can quickly gauge if the current state is closer to the lower boundary of recent conditions or to the upper boundary, along with its directional bias.
Normalization And Scaling
Several internal components use rolling highest and lowest values to transform raw readings into normalized percentages. This includes the main oscillator and the range based momentum used by the confluence gauge.
The key idea is to express conditions relative to what has recently been possible on that instrument and timeframe instead of using absolute fixed thresholds. This makes Fluxion adaptive and more robust when switching between assets with different volatility profiles.
NC-ALPHA INDEX [Pro Pane] - Smart Money Flow01. THE PROBLEM: MARKET CAP IS A LAGGING INDICATOR
Standard crypto indices (like Coin50 or Total Market Cap) are weighted by capitalization. This is a flawed model for active traders because it prioritizes "Dino Coins"—older assets with massive supplies but very little active volume or price discovery. They are heavy, slow, and hide the real story.
02. THE SOLUTION: VOLUME-VELOCITY WEIGHTING
The NC-ALPHA INDEX is designed for SMC (Smart Money Concepts) traders who need to see where the real liquidity is flowing right now.
Instead of static weighting, this script dynamically adjusts the influence of each asset based on its Real-Time Dollar Volume.
High Volume = High Impact: If a specific asset (e.g., SOL, HYPE, or PEPE) is attracting massive liquidity inflow, its weight in the index increases instantly.
Low Volume = Low Impact: Assets with no volume ("Zombie coins") have minimal impact on the index line, preventing false signals.
03. THE "MARKET DRIVERS" BASKET
The index tracks a curated basket of 10 high-velocity assets representing the current market meta:
1 - Kings: BTC, ETH
2 - Market Leaders: SOL, BNB
3 - High Beta / L1s: SUI
Sector Proxies: DOGE (Memes), HYPE (DEX/Perps), AAVE (DeFi), LINK (Infra), XRP.
04. HOW TO TRADE WITH IT
A. The Divergence (Trap Detector) If Bitcoin is making a Higher High (HH) at a Key Resistance, but the NC-ALPHA Index is making a Lower High (LH) or stagnating:
Signal: The pump is unsupported by broad liquidity. It is likely a "Fake Pump" driven by wash trading or isolated manipulation. High probability of an SFP (Swing Failure Pattern).
B. The HUD (Heads-Up Display) The dashboard on the chart shows you exactly what is moving the market.
Look at the "W%" (Weight) column.
Signal: If an Altcoin (like SUI or HYPE) suddenly exceeds 15-20% weight, a Sector Rotation is occurring. Stop watching BTC and focus on that asset.
05. TECHNICAL NOTES
Crash Proof: Built with advanced nz() data handling to prevent the "disappearing line" bug common in composite indices.
Usage Rule: For accurate calculation, use this indicator on 24/7 Crypto Charts (BTC, ETH, SOL) rather than Traditional Finance charts (VIX, SPX) to avoid weekend data gaps.
Built by KheopsCrypto for the SMC Community.
MFI Volume Profile [Kodexius]The MFI Volume Profile indicator blends a classic volume profile with the Money Flow Index so you can see not only where volume traded, but also how strong the buying or selling pressure was at those prices. Instead of showing a simple horizontal histogram of volume, this tool adds a money flow dimension and turns the profile into a price volume momentum heat map.
The script scans a user controlled lookback window and builds a set of price levels between the lowest and highest price in that period. For every bar inside that window, its volume is distributed across the price levels that the bar actually touched, and that volume is combined with the bar’s MFI value. This creates a volume weighted average MFI for each price level, so every row of the profile knows both how much volume traded there and what the typical money flow condition was when that volume appeared.
On the chart, the indicator plots a stack of horizontal boxes to the right of current price. The length of each box represents the relative amount of volume at that price, while the color represents the average MFI there. Levels with stronger positive money flow will lean toward warmer shades, and levels with weaker or negative money flow will lean toward cooler or more neutral shades inside the configured MFI band. Each row is also labeled in the format Volume , so you can instantly read the exact volume and money flow value at that level instead of guessing.
This gives you a detailed map of where the market really cared about price, and whether that interest came with strong inflow or outflow. It can help you spot areas of accumulation, distribution, absorption, or exhaustion, and it does so in a compact visual that sits next to price without cluttering the candles themselves.
Features
Combined volume profile and MFI weighting
The indicator builds a volume profile over a user selected lookback and enriches each price row with a volume weighted average MFI. This lets you study both participation and money flow at the same price level.
Volume distributed across the bar price range
For every bar in the window, volume is not assigned to a single price. Instead, it is proportionally distributed across all price rows between the bar low and bar high. This creates a smoother and more realistic profile of where trading actually happened.
MFI based color gradient between 30 and 70
Each price row is colored according to its average MFI. The gradient is anchored between MFI values of 30 and 70, which covers typical oversold, neutral and overbought zones. This makes strong demand or distribution areas easier to spot visually.
Configurable structure resolution and depth
Main user inputs are the lookback length, the number of rows, the width of the profile in bars, and the label text size. You can quickly switch between coarse profiles for a big picture and higher resolution profiles for detailed structure.
Numeric labels with volume and MFI per row
Every box is labeled with the total volume at that level and the average MFI for that level, in the format Volume . This gives you exact values while still keeping the visual profile clean and compact.
Calculations
Money Flow Index calculation
currentMfi is calculated once using ta.mfi(hlc3, mfiLen) as usual,
Creation of the profileBins array
The script creates an array named profileBins that will hold one VPBin element per price row.
Each VPBin contains
volume which is the total volume accumulated at that price row
mfiProduct which is the sum of volume multiplied by MFI for that row
The loop;
for i = 0 to rowCount - 1 by 1
array.push(profileBins, VPBin.new(0.0, 0.0))
pre allocates a clean structure with zero values for all rows.
Finding highest and lowest price across the lookback
The script starts from the current bar high and low, then walks backward through the lookback window
for i = 0 to lookback - 1 by 1
highestPrice := math.max(highestPrice, high )
lowestPrice := math.min(lowestPrice, low )
After this loop, highestPrice and lowestPrice define the full price range covered by the chosen lookback.
Price range and step size for rows
The code computes
float rangePrice = highestPrice - lowestPrice
rangePrice := rangePrice == 0 ? syminfo.mintick : rangePrice
float step = rangePrice / rowCount
rangePrice is the total height of the profile in price terms. If the range is zero, the script replaces it with the minimum tick size for the symbol. Then step is the price height of each row. This step size is used to map any price into a row index.
Processing each bar in the lookback
For every bar index i inside the lookback, the script checks that currentMfi is not missing. If it is valid, it reads the bar high, low, volume and MFI
float barTop = high
float barBottom = low
float barVol = volume
float barMfi = currentMfi
Mapping bar prices to bin indices
The bar high and low are converted into row indices using the known lowestPrice and step
int indexTop = math.floor((barTop - lowestPrice) / step)
int indexBottom = math.floor((barBottom - lowestPrice) / step)
Then the indices are clamped into valid bounds so they stay between zero and rowCount - 1. This ensures that every bar contributes only inside the profile range
Splitting bar volume across all covered bins
Once the top and bottom indices are known, the script calculates how many rows the bar spans
int coveredBins = indexTop - indexBottom + 1
float volPerBin = barVol / coveredBins
float mfiPerBin = volPerBin * barMfi
Here the total bar volume is divided equally across all rows that the bar touches. For each of those rows, the same fraction of volume and volume times MFI is used.
Accumulating into each VPBin
Finally, a nested loop iterates from indexBottom to indexTop and updates the corresponding VPBin
for k = indexBottom to indexTop by 1
VPBin binData = array.get(profileBins, k)
binData.volume := binData.volume + volPerBin
binData.mfiProduct := binData.mfiProduct + mfiPerBin
Over all bars in the lookback window, each row builds up
total volume at that price range
total volume times MFI at that price range
Later, during the drawing stage, the script computes
avgMfi = bin.mfiProduct / bin.volume
for each row. This is the volume weighted average MFI used both for coloring the box and for the numeric MFI value shown in the label Volume .
Marumaroo's RSI + MFI (가격과 거래량의 이중 체크)매매할 때 RSI랑 MFI를 같이 보는데, 지표창 두 개 띄우기 귀찮아서 하나로 합쳤습니다.
RSI(가격)만 보면 가짜 반등에 속을 때가 많은데, MFI(거래량)랑 같이 보면 다이버전스나 휩소 걸러내기가 훨씬 수월합니다.
특징:
보기 편함: RSI는 빨강, MFI는 회색입니다.
배경색 알림: 과매수(80 이상) 구간은 빨간 배경, 과매도(20 이하) 구간은 초록 배경이 뜹니다. 한눈에 파악하기 좋습니다.
복잡한 기능 다 빼고 깔끔하게 만들었으니 필요하신 분 쓰세요.
I combined RSI and MFI into a single chart to save screen space and filter out fake signals.
Checking Money Flow (MFI) alongside Price Action (RSI) helps in spotting divergences and avoiding traps.
Features:
Clean Look: RSI is Red, MFI is Gray.
Background Colors: automatically highlights Overbought (>80) zones in Red and Oversold (<20) zones in Green.
Simple and lightweight script. Hope it helps!
CVD Power & Whale Tracker Overview: What is it?
This indicator combines Order Flow, Volume Analysis, and Momentum into a single dashboard. Instead of just looking at price, it looks at effort (Volume) versus result (Price Action) to identify when Institutions (Whales) are stepping in.
1. The Core Engine: "Pressure" (Z-Score)
At the heart of the indicator is the Z-Score of Volume Delta.
The Logic: It calculates the "Volume Delta" (Buying Volume minus Selling Volume) for every candle. It then compares the current candle's delta to the average of the last 20 candles.
The Output:
Zero Line: Buying and Selling pressure is balanced.
Positive Bar (> 0): Buyers are more aggressive than usual.
Negative Bar (< 0): Sellers are more aggressive than usual.
Extreme Values (> 2 or < -2): This represents statistically significant aggression (2 Standard Deviations from the mean). This usually marks the start of a breakout or a climax.
2. Whale Detection (Institutional Activity)
Retail traders trade small size; Institutions (Whales) trade large size.
The Logic: The script calculates the average volume of the last 50 bars. If the current bar's volume is 2.5x higher than that average, it flags it as a "Whale" bar.
Visual: The Histogram bar turns Yellow.
Meaning: Smart money is active. Pay attention to the direction of the next few candles.
3. Absorption (The "Smart Money" Signal)
This is the most powerful signal in the script. It detects when one side is trapping the other.
Bullish Absorption (Cyan Dot):
Condition: Huge Volume (Whale) + Net Selling Pressure (Red Delta) + Price refuses to drop (closes in the upper half).
Meaning: Sellers are dumping hard, but a passive buyer (Limit Order) is "absorbing" all the sell orders. This is essentially a hidden support wall.
Bearish Absorption (Orange Dot):
Condition: Huge Volume (Whale) + Net Buying Pressure (Green Delta) + Price refuses to rise (closes in the lower half).
Meaning: Buyers are pushing hard, but a passive seller is absorbing the buy orders. This is a hidden resistance wall.
4. Money Flow (Accumulation/Distribution)
Although the purple line was removed from the chart to keep it clean, the math still runs in the background for the Dashboard.
The Logic: It uses the standard Accumulation/Distribution (A/D) formula. It checks if money is flowing into the asset (Close near High) or out (Close near Low) relative to volume.
Dashboard: If the trend of Money Flow is up, the table says "Accumulation (In)". If down, "Distribution (Out)".
5. CVD Trend (Blue/Orange Line)
What is CVD? Cumulative Volume Delta. It keeps a running total of buying vs. selling volume over time.
Usage:
Blue: Positive Slope (Buying Trend).
Orange: Negative Slope (Selling Trend).
Divergence: If Price is making a Lower Low but the CVD Line is making a Higher Low, it means sellers are exhausted (Bullish Divergence). The script highlights the background in Green when this happens.
Market Cipher With DivegencesAnother look into classic ;)
My take on Market Cypher with new money line and DIVERGENCES!!!
Enjoy!
Global M2 Money Supply (100+ countries, USD, Offset)Global M2 Money Supply:
-potentially 100+ countries - countries can be added in Script,
-USD, Offset
-offset in months can be manually adjusted to account for the time that i takes for liquidity to hit the market
NAMI Lite │ Zero-Repaint Momentum Wave + Reg Divergences (FREE)
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The only zero-repaint, zero-lag momentum indicator that calls reversals hours early — even the free version beats all paid indicators.
No repainting on closed bars • Instant wave flips • Clean regular divergences • Money Flow confluence
Zero-Repaint Momentum Wave – CCI-based oscillator with real-time color flips (no lag, no lies)
Regular Bull/Bear Divergences – Faded lines on confirmed pivots only
Money Flow Oscillator – Volume-weighted filled areas for extra confirmation
This Lite version is intentionally limited — powerful enough to replace monthly subscriptions, but missing the pro features that make trading effortless.
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Twiggs Go Money Flow Enhanced [KingThies]█ OVERVIEW
The Twiggs Money Flow (TMF) is a volume-weighted momentum oscillator that
measures buying and sellistng pressure by analyzing where price closes within
each bar's true range. It's an enhanced version of Chaikin Money Flow that
uses Wilder's smoothing method, providing better trend persistence and
smoother signals.
The indicator oscillates around a zero listne:
Values above zero indicate accumulation (buying pressure)
Values below zero indicate distribution (sellistng pressure)
TMF was developed by Colistn Twiggs as an improvement over traditional money
flow indicators by incorporating true range calculations and Wilder's
exponential moving average.
█ CONCEPTS
True Range Boundaries
TMF calculates a modified true range for each bar by comparing the current
bar's high and low with the previous close:
True Range High = maximum of (previous close, current high)
True Range Low = minimum of (previous close, current low)
This accounts for overnight gaps and ensures price continuity between bars.
Average Daily Value (ADV)
The ADV represents the portion of volume attributable to buying versus sellistng:
ADV = Volume × ((Close - TR Low) - (TR High - Close)) / True Range
When price closes near the high of the true range, ADV is positive and large.
When price closes near the low, ADV is negative and large.
A close in the middle produces values near zero.
Wilder's Moving Average
Unlistke simple moving averages, Wilder's smoothing method gives more weight
to recent values while maintaining memory of historical data:
WMA = (Previous WMA × (Period - 1) + Current Value) / Period
This creates smoother trends that are less prone to whipsaws than standard
moving averages.
Final Calculation
TMF = Wilder's MA(ADV, Period) / Wilder's MA(Volume, Period)
By dividing smoothed ADV by smoothed volume, TMF normalistzes the reading and
makes it comparable across different securities and timeframes.
█ HOW TO USE
Zero listne Crossovers
The most straightforward trading signals:
A cross above zero suggests buyers are gaining control.
Consider this a bullistsh signal, especially when confirmed by price action.
A cross below zero suggests sellers are gaining control.
Consider this a bearish signal.
The longer TMF remains above or below zero, the stronger the trend.
Extreme Values
Strong positive or negative readings indicate intense buying or sellistng pressure:
Sustained high positive values (above +0.4) suggest strong accumulation
but may also indicate overbought conditions.
Sustained low negative values (below -0.4) suggest strong distribution
but may also indicate oversold conditions.
These extremes work best when used in conjunction with price levels and
support/resistance zones.
Divergences
Divergences between price and TMF often signal potential reversals:
Bearish divergence: Price makes a higher high but TMF makes a
lower high — suggests buying pressure is weakening despite rising prices.
Bullistsh divergence: Price makes a lower low but TMF makes a
higher low — suggests sellistng pressure is weakening despite fallistng prices.
Trend Confirmation
Use TMF to confirm the strength of existing trends:
In an uptrend, TMF should remain mostly positive with occasional dips below zero.
In a downtrend, TMF should remain mostly negative with occasional rises above zero.
If TMF contradicts the price trend, consider the trend weak or potentially ending.
█ FEATURES
Period (default: 21)
The lookback length for Wilder's moving average calculation:
Shorter periods (10–15) make TMF more responsive to recent changes but
increase noise and false signals.
Longer periods (30–50) create smoother readings but lag price action more
significantly.
The default 21-period setting balances responsiveness with relistabilistty.
Consider adjusting the period based on your trading timeframe and the
volatilistty of the security you're analyzing.
█ LIMITATIONS
TMF is a lagging indicator due to its smoothing method. Signals may occur
after optimal entry or exit points.
In low-volume or illistquid markets, TMF can produce erratic readings that
may not reflect true buying or sellistng pressure.
Ranging or choppy markets often generate frequent zero-listne crosses that
can lead to whipsaws.
listke all volume-based indicators, TMF's relistabilistty depends on accurate
volume data.
For securities with unrelistable volume reporting, consider using
price-based momentum indicators instead.
█ NOTES
This indicator uses area-style plotting in the original version to visualistze
the magnitude of buying and sellistng pressure. The filled area makes it easy
to see at a glance whether the market is in accumulation or distribution mode.
TMF works on any timeframe but tends to be most relistable on daily charts
where volume data is most accurate and meaningful.
█ CREDITS
Original indicator developed by
LazyBear .
Based on the Twiggs Money Flow concept from Incredible Charts:
Incredible Charts – Twiggs Money Flow .
Delta Money Flow IndexThe Delta Money Flow Index is a modified version of the traditional Money Flow Index that uses directional volume instead of total volume to measure buying and selling pressure in a different way.
It helps traders identify overbought/oversold conditions based on actual buy/sell pressure rather than just total volume. It's designed for traders who want to see if price movements are backed by genuine buying or selling activity.
How to use it:
- Values above 80 indicate overbought conditions
- Values below 20 indicate oversold conditions
- The 50 level acts as a neutral zone. Above suggests buyers are in control, below suggests sellers are in control.
- Traders can check for divergences for potential reversal signals
- Works best on intraday timeframes where delta volume is most meaningful
What makes it different:
Unlike the standard MFI which uses total volume, the Delta MFI calculates an approximation of volume delta by assigning positive volume to up-closing candles and negative volume to down-closing candles.
This means:
- It focuses on directional pressure, not just activity
- Filters out low-conviction volume that doesn't move price
- Provides clearer signals when actual buying/selling dominates
The indicator includes visual aids like background colors for overbought/oversold and a fill showing whether the Delta MFI is above or below the 50 midpoint for quick interpretation.
Flow Control Oscillator (FCO)Flow Control Oscillator (FCO)
The Flow Control Oscillator (FCO) is a momentum-based indicator that combines volume analysis and money flow to determine who is in control of the market—buyers or sellers—and how strong that control is. Unlike pure price-based oscillators, FCO integrates both price action and volume distribution to provide a more complete picture of market dynamics.
How It Works
Core Components:
Money Flow Index (MFI) -
Scaled to -1 to +1 range
Measures the flow of money into and out of an asset
Identifies buying and selling pressure based on price and volume
Chaikin Money Flow (CMF) -
Already in -1 to +1 range
Measures the accumulation/distribution of volume
Shows whether volume is accumulating (buying) or distributing (selling)
Combined Flow Control Line (FCO Line) -
Equal-weighted composite of MFI and CMF
Smoothed with SMA (default: 3 periods)
Values above 0 = Buyers in control
Values below 0 = Sellers in control
Signal Line -
WMA of the FCO line (default: 6 periods)
Used for timing entries and confirming momentum shifts
Momentum Histogram-
Shows the rate of change in buyer/seller control
Weighted by ADX (Average Directional Index) when enabled
Larger bars = stronger momentum
ADX weighting filters out choppy, unreliable signals
Key Zones
Neutral Zone (-0.3 to +0.3): Balanced market, low conviction
Healthy Trend Zone (±0.3 to ±0.7): Clear control without exhaustion
Warning Zone (±0.7 to ±1.0): Extended, approaching exhaustion
Extreme Zone (beyond ±1.0): Overbought/oversold, reversal likely
What To Look For
Reversal Setups:
FCO in extreme zone (beyond ±1.0)
FCO crosses Signal line in opposite direction
Momentum histogram shrinking (weakening pressure)
Interpretation: Buyers or sellers are exhausted and losing control
Trend Strength Setups:
FCO crosses zero line (control shift)
Momentum histogram growing in the same direction
ADX confirms strong trend (no orange background)
Signal line moving in same direction as FCO
Interpretation: New control being established with building momentum
Divergences:
Price makes new high/low but FCO doesn't confirm
Indicates weakening momentum despite price movement
Early warning of potential reversal
Choppy Market Warning:
Orange background (ADX < 20)
Small momentum bars regardless of FCO position
Interpretation: Weak trend, avoid trading or use tight stops
Best Practices:
Use with context: Combine with support/resistance levels (like VWAP) for confluence
Multi-timeframe confirmation: Check higher timeframe FCO for overall bias
Wait for confirmation: Let signals develop rather than predicting turns
Respect extreme zones: Best reversal opportunities occur when FCO is beyond ±1.0
Filter with ADX: Pay attention to background coloring—avoid choppy conditions
The indicator includes comprehensive alert conditions for:
Reversal setups (extreme + cross + weakening momentum)
Trend strength signals (zero cross + growing momentum + strong ADX)
FCO/Signal crossovers
Extreme overbought/oversold conditions
Control shifts (buyers/sellers taking control)
RSI + MFIRSI and MFI combined, width gradient fields if OS or OB, shows divergences separate for wicks and bodies, shows dots when mfi and rsi oversold at the same time.
Tradytics Levels with EMA CloudThis indicator has tradytics price chart levels where you can put in the input code seen below.
The code has positive gamma (green lines), negative gamma (Red lines) and white dotted line are the darkpool levels.
This is Amazon's 5 minute from Sep30th to October 20th Gammas and weekly Darkpool levels. Just copy and paste code below in the input code and the chart would show the levels.
212.8*1*neutral 220.07*1*neutral 216.038*1*neutral 215.57*1*neutral 219.988*1*neutral 217.401*1*neutral 217.351*1*neutral 212.815*1*neutral 212.75*1*neutral 212.4*1*neutral 215*0*negative 222.5*0*positive 217.5*0*positive 220*0*positive
AI Money FlowAI Money Flow is a revolutionary trading indicator that combines cutting-edge artificial intelligence technologies with traditional Smart Money concepts. This indicator provides comprehensive market analysis with emphasis on signal accuracy and reliability.
Key Features:
Volume Profile with Smart Money Analysis - Displays real money flow instead of just volume, identifying key support and resistance levels based on actual trader activity.
Volatility-Based Support & Resistance - Intelligent support and resistance levels that dynamically adapt to market volatility in real-time for maximum accuracy.
Order Flow Analysis - Advanced detection of buying and selling pressure that reveals the true intentions of large market players.
Machine Learning Optimization - Futuristic AI technology that automatically learns and optimizes settings for each specific asset and timeframe.
Risk Management - Advanced volatility and price spike detection for better risk management and capital protection.
Real-time Dashboard - Modern dashboard with color-coded signals provides instant overview of market conditions and trends.
Accuracy: 88-93%
Aggregated Open Interest Multi-Exchange (USD)This indicator aggregates Open Interest (OI) data from multiple major cryptocurrency exchanges into a single unified view in USD, using data available on TradingView. It automatically adapts to the asset you're viewing on the chart.
Features:
Aggregates OI from 7 major exchanges: Binance, Bybit, OKX, Bitget, Deribit, HTX, and Coinbase
All values converted to USD - unlike native OI which shows contracts/coins
Uses only data available on TradingView platform
Automatically detects the asset from your chart (BTC, ETH, SOL, etc.)
True apples-to-apples comparison across exchanges
Displays as candlesticks showing OI open, high, low, and close
Toggle exchanges on/off individually
Handles different contract types per exchange automatically
Why USD conversion matters:
Traditional OI indicators show values in contracts or crypto units, making it difficult to compare across exchanges. This indicator converts everything to USD, giving you the real dollar value of open positions across all exchanges.
How it works:
Simply add the indicator to any crypto perpetual futures chart. It will automatically fetch and aggregate OI data from all supported exchanges for that asset using TradingView's built-in data feeds, converting everything to USD.
Supported Exchanges:
Binance, Bybit, Bitget, HTX: USDT perpetuals
Deribit: BTC/ETH use USD contracts, others use USDC
OKX: Contract-based (automatically converted)
Coinbase: USDC perpetuals
Perfect for traders who want a comprehensive view of total market Open Interest in USD across exchanges using reliable TradingView data.
- Standardized Money Flow Index with Multi-MA and BB OverlayThis custom Money Flow Index (MFI) script enhances the standard MFI by introducing multiple layers of configurability, statistical normalization, and visual clarity. It begins with the traditional MFI calculation using the average price, hlc3, and a user-defined length, then offers the option to standardize the output. Standardization transforms the MFI into a z-score by subtracting a rolling mean and dividing by a rolling standard deviation, making the indicator statistically interpretable across different assets, timeframes, and volatility regimes. When standardization is active, the overbought and oversold thresholds shift from the conventional 80 and 20 to +2 and –2, aligning them with standard deviation boundaries and improving signal clarity in volatile environments.
Beyond standardization, the script introduces a robust smoothing engine. Users can choose from several moving average types, including SMA, EMA, SMMA (RMA), WMA, and VWMA, to reduce noise and highlight trend shifts. A particularly advanced option is the “SMA + Bollinger Bands” mode, which overlays volatility envelopes around the smoothed MFI using a user-defined standard deviation multiplier. This feature helps traders identify when the MFI is unusually high or low relative to its recent behaviour, adding a volatility-adjusted layer of insight, especially useful in momentum or mean-reversion setups.
Visually, the script is designed for clarity, modularity, and flexibility. It plots the raw or standardized MFI in purple, overlays the smoothed version in yellow if enabled, and adds green Bollinger Bands when selected. It also includes horizontal reference lines for overbought, oversold, and midpoint levels, which dynamically adjust based on whether standardization is active. A shaded background between the overbought and oversold lines further enhances readability, helping traders quickly assess momentum extremes and potential inflection zones.
Compared to the standard MFI, which offers a fixed calculation, limited visual feedback, and no statistical context, this enhanced version is modular, customizable, and statistically grounded. It allows traders to tailor the indicator to their strategy, whether they prefer raw signals, smoothed trends, or volatility-adjusted extremes. These enhancements make it a powerful building block for more sophisticated signal engines, especially when combined with filter gating, persistent state logic, or multi-indicator overlays.
StratNinjaTable - VerticalA Pine Script v6 indicator that displays a vertical table with key The Strat data and supporting metrics.
✦ Table Structure:
Overview:
Ticker – the stock symbol.
TF – the chart’s main timeframe.
MFI – Money Flow Index with selectable timeframe.
ATR – Average True Range with color coding:
Green – below 3%.
Yellow – between 3% and 6%.
Red – above 6%.
Timeframes:
Displayed vertically (5m, 15m, 1H, D, W, M, etc.).
Each shows the current bar type according to The Strat (1, 2U, 2D, 3).
Text color reflects candle direction (green = close above open, red = close below open).
Includes a countdown timer to bar close.
Fundamentals:
Market Cap – in billions.
Sector – stock sector.
SMA20 Δ – distance from the 20-period SMA (in %).
Avg Volume (30d) – average 30-day volume (in millions).
✦ Adjustments Made:
Removed the Strat Pattern section completely.
Removed the DIR column – direction is now represented by Strat cell text color.
Reordered Overview section: Ticker → TF → MFI → ATR.
ATR now has three levels of coloring (Green/Yellow/Red) for >3% and >6%
Multi-Indicator Panel (RSI, Stoch, MACD, VIX Fix, MFI)A versatile single-pane oscillator panel combining RSI, Stochastic, MACD (scaled to 0–100), Williams VIX Fix (normalized & inverted: low value = high fear), and MFI. Each module is toggleable, with reference levels, background highlights, and ready-made alerts.
Key features
Per-indicator toggles: RSI, Stoch %K/%D, MACD (lines + optional histogram), inverted 0–100 VIX Fix, and MFI.
Standard levels & center line at 50; adjustable overbought/oversold thresholds.
Contextual background coloring (optional) for extreme conditions.
Built-in alerts: RSI/Stoch OB/OS, MACD–Signal cross, VIX Fix “High Fear/Low Fear,” and MFI OB/OS.
Unified scale: MACD mapped around 50 to align with other oscillators; VIX Fix normalized to 0–100.
How to use (quick)
Add the indicator → enable needed modules via “Indicator Toggles.”
Tune periods & levels (e.g., RSI 14, Stoch 14/3, MACD 12-26-9, VIX Fix 22/252, MFI 14).
(Optional) Turn on MACD histogram.
Create alerts from “Add alert on…” using the provided conditions.
Interpretation notes
Inverted VIX Fix: low values ⇒ high fear/volatility (potential bounces); high values ⇒ complacency.
Scaled MACD: lines around 50 ≈ MACD zero; line crosses remain valid despite scaling.
Disclaimer
Analysis tool, not financial advice. Test across timeframes/instruments and pair with risk management.
Dynamic Threshold Money Flow Indexi thought this script was a clever idea, but the more i tried to improve it, the worse it seemed to get.
the idea behind this script was to build a context around a Money Flow Index that changes based on market conditions.
the width of the channel is controlled by a combination of the choppiness index and an inverted, normalized, absolute value of the ROC. when the market begins trending, the channel narrows, making the MFI more likely to break out of the channel in the direction of the emerging trend. as the market becomes more choppy and the trend diminishes, the channel widens, recapturing the MFI.
my initial hopes for this script was that the context-based thresholds would spare the user from choppy markets, but perhaps i need to make the channel non-linear.
