Buy/Sell Pressure# **Buy/Sell Pressure**
Buy/Sell Pressure is designed to provide insight into **who is actually controlling the market beneath the surface**. Rather than focusing exclusively on whether price is moving higher or lower, the indicator attempts to determine whether those price movements are being supported by genuine buying interest or genuine selling pressure.
Markets do not always move because one side is aggressively taking control. Sometimes prices drift higher simply because sellers temporarily step aside. Other times, prices fall because buyers become reluctant rather than because sellers are overwhelming the market. Looking at price alone can make these distinctions difficult to recognize.
Buy/Sell Pressure was developed to address that problem.
The indicator combines several different aspects of market behavior into a single, easy-to-read oscillator. By evaluating how price behaves within each bar, how volume participates in those movements, and whether underlying money flow supports the move, it attempts to provide a clearer picture of the balance of power between buyers and sellers.
The goal is not to predict the future. Instead, the goal is to answer a simpler but often more useful question:
> **Who appears to be winning the battle right now: buyers or sellers?**
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# **What the Indicator Is Measuring**
Buy/Sell Pressure evaluates multiple dimensions of market behavior simultaneously.
It examines where price closes within the range of each bar. A market that consistently closes near the upper portion of its range often reflects persistent buying interest. Conversely, a market that repeatedly closes near the lower portion of its range may indicate sustained selling pressure.
The indicator also evaluates the relationship between opening and closing prices. Large bullish bodies suggest buyers were able to maintain control throughout the period, while large bearish bodies suggest sellers dominated the session. Smaller candle bodies generally indicate indecision or equilibrium between the two sides.
Wick behavior is another important component. Long lower shadows often suggest that sellers attempted to push prices lower but buyers stepped in aggressively enough to reject those lower levels. Long upper shadows may indicate that buyers attempted to push prices higher but encountered significant selling resistance. These subtle forms of rejection can reveal underlying pressure that may not be obvious from price alone.
Volume is then incorporated into the calculation. Price movement occurring during periods of elevated participation tends to carry greater significance than identical price movement occurring during quiet conditions. By weighting certain behaviors according to volume, the indicator attempts to emphasize moves that are supported by broader market involvement.
The indicator also considers money flow and cumulative volume behavior. This helps determine whether capital has generally been flowing into the market or out of it over recent periods. These additional layers of analysis help distinguish meaningful shifts in pressure from ordinary short-term fluctuations.
The result is a composite measure designed to identify whether **buying pressure is strengthening, selling pressure is strengthening, or neither side currently has a meaningful advantage.**
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# **Understanding the Histogram**
The primary visual component of the indicator is the histogram.
The histogram oscillates around a central zero line. The further the histogram extends away from that centerline, the stronger the underlying pressure is considered to be.
The direction and color of the histogram provide insight into the current balance between buyers and sellers.
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## **Green Histogram Bars**
Green histogram bars indicate that underlying buying pressure is present.
When the histogram begins printing green bars, it suggests that buyers are exerting increasing influence over market behavior. Price action is becoming increasingly supported by demand rather than simply drifting higher due to a lack of sellers.
As green bars expand in size, the strength of buying pressure is increasing. This often occurs during healthy uptrends, breakout phases, or periods of sustained accumulation.
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## **Red Histogram Bars**
Red histogram bars indicate that underlying selling pressure is dominant.
These readings suggest that sellers are becoming increasingly aggressive and that downward price movement is being supported by genuine supply entering the market.
As red bars grow larger, selling pressure is intensifying. These conditions frequently accompany strong downtrends, breakdowns, or periods of distribution.
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## **Gray Histogram Bars**
Gray histogram bars represent neutral conditions.
During these periods, neither buyers nor sellers possess a sufficiently strong advantage to justify a directional reading.
Neutral conditions often occur during:
* Consolidation phases.
* Sideways markets.
* Transitional periods between trends.
* Areas of temporary equilibrium.
Gray bars can serve as a reminder that not every market environment is favorable for directional decision-making.
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## **Extreme Pressure Conditions**
The indicator also identifies periods when buying or selling pressure becomes unusually strong relative to recent history.
These conditions are represented by brighter shades of green or red.
Extreme readings indicate that conviction is significantly elevated. Buyers or sellers are demonstrating an unusual degree of control compared to what has been considered normal over the selected historical period.
It is important to understand that extreme readings should not automatically be interpreted as reversal signals.
Strong markets can remain strong for extended periods. Likewise, weak markets can continue to weaken. Extreme readings are best viewed as evidence of exceptional pressure rather than immediate exhaustion.
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# **The Signal Line**
The orange signal line provides a smoother representation of the underlying pressure reading.
Because it is less reactive than the histogram itself, it can help traders focus on broader shifts in pressure rather than becoming distracted by every short-term fluctuation.
A rising signal line generally reflects improving conditions for buyers.
A falling signal line generally reflects strengthening conditions for sellers.
Many users find the signal line useful when assessing whether pressure is accelerating, stabilizing, or beginning to deteriorate.
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# **Pressure Dots**
The indicator includes optional pressure dots designed to highlight important transitions in market control.
Users can choose between two different methods for generating these signals.
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## **Zero Cross Mode**
In Zero Cross mode, a green dot appears when pressure crosses above the zero line, while a red dot appears when pressure crosses below zero.
These signals occur relatively early because they identify the point at which the balance of pressure shifts from negative to positive or vice versa.
The advantage of this approach is speed.
The disadvantage is that early signals can occasionally occur during temporary fluctuations that fail to develop into meaningful trends.
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## **First Colored Bar Mode**
In First Colored Bar mode, dots appear only when pressure moves decisively beyond the neutral zone and the first meaningful buying or selling histogram bar is printed.
Green dots identify the first significant buying bar.
Red dots identify the first significant selling bar.
Because these signals require stronger confirmation, they tend to occur later than zero-cross signals.
However, they are often cleaner and easier to interpret.
This mode is the default setting because it focuses on identifying **meaningful pressure shifts rather than merely technical transitions around the zero line.**
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# **Understanding the Inputs**
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## **Confirmed Bars Only (Non-Repainting)**
When enabled, all calculations are based exclusively on completed bars.
This prevents signals from changing after a bar closes and ensures that historical signals accurately reflect what would have been visible in real time.
The tradeoff is that signals appear one bar later.
This setting is enabled by default because reliability is often more valuable than immediacy.
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## **Show Confirmed Mode Label**
This optional label provides a visual reminder that non-repainting mode is active.
It has no impact on calculations and exists purely for convenience.
The label is disabled by default to preserve a cleaner appearance.
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## **Pressure Lookback**
This setting controls how persistent underlying pressure must be before the indicator fully reflects it.
Lower values produce a more responsive oscillator that reacts quickly to changing conditions.
Higher values produce a smoother oscillator that emphasizes sustained pressure rather than short-term fluctuations.
The default value of **50** attempts to strike a balance between responsiveness and stability.
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## **Score Smoothing**
Score Smoothing determines how aggressively the raw pressure calculations are filtered before reaching the final oscillator.
Increasing this value reduces noise but delays transitions.
Decreasing it improves responsiveness but increases sensitivity.
The default value of **5** provides moderate smoothing without excessively sacrificing timeliness.
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## **Volume Baseline**
Volume Baseline establishes the historical reference used to determine whether current participation levels are unusually high or unusually low.
Higher settings create a more stable volume benchmark.
Lower settings allow the indicator to adapt more quickly to changing market environments.
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## **Normalization Lookback**
Normalization Lookback determines how much historical information is used when establishing what constitutes "normal" pressure conditions.
Shorter values adapt rapidly but may cause thresholds to shift more frequently.
Longer values create a more stable frame of reference.
The default value of **100** was chosen to emphasize consistency and reduce sensitivity to temporary anomalies.
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## **Signal Line Length**
This setting controls the responsiveness of the signal line.
Shorter lengths allow the signal line to track pressure more closely.
Longer lengths smooth the signal line and emphasize broader trends.
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## **Money Flow Length**
Money Flow Length determines how much historical information is used when evaluating whether capital has generally been entering or exiting the market.
Smaller values respond quickly to recent changes.
Larger values emphasize longer-term participation trends.
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## **OBV Pressure Length**
This setting controls how much cumulative volume history contributes to the assessment of broader buying and selling participation.
Lower values prioritize recent developments.
Higher values place greater emphasis on sustained pressure trends.
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## **Neutral Zone**
The Neutral Zone defines the boundary separating insignificant pressure from meaningful pressure.
Histogram readings that remain inside this area are considered inconclusive and are displayed using neutral colors.
Reducing the size of the neutral zone increases sensitivity.
Expanding it requires stronger evidence before directional readings are generated.
The default setting of **35** attempts to filter out routine market noise while remaining responsive to meaningful shifts.
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## **Extreme Level**
The Extreme Level determines when pressure becomes exceptionally strong relative to recent market conditions.
Readings beyond this threshold are highlighted using brighter colors.
These conditions often reflect unusually strong conviction but should not automatically be interpreted as reversal opportunities.
The default value of **75** identifies situations where pressure has become significantly elevated.
---
# **Practical Applications**
Buy/Sell Pressure can be used in a variety of ways.
Many traders use it as a confirmation tool during breakouts. When price breaks through an important level while buying pressure simultaneously strengthens, the move may possess greater credibility.
Others use it to evaluate pullbacks. Temporary declines occurring during periods of weak selling pressure may suggest healthy retracements within larger uptrends. Similarly, weak buying pressure during countertrend rallies may indicate that bearish conditions remain intact.
The indicator can also help identify potential exhaustion. If price continues advancing while buying pressure steadily deteriorates, the underlying trend may be losing support. Likewise, continued price declines accompanied by weakening selling pressure may suggest that bearish momentum is beginning to fade.
Finally, Buy/Sell Pressure can serve as a valuable trade filter. Traders who already possess an established strategy may use the indicator to align themselves with the prevailing side of the market.
---
# **Final Thoughts**
Buy/Sell Pressure was designed to help traders look beyond price itself and focus on the forces driving that price movement.
Rather than asking whether the market moved higher or lower, it asks whether buyers or sellers genuinely supported that move.
By combining price behavior, volume participation, money flow characteristics, and cumulative pressure analysis into a single adaptive framework, the indicator seeks to provide a clearer understanding of market conviction.
Its purpose is not to predict exactly what the market will do next.
Its purpose is to help answer a more immediate and practical question:
> **If a battle is taking place between buyers and sellers, which side currently appears to have the advantage?** Indicator
Naive Bayes DNA Heatmap | GainzAlgoThe Naive Bayes Volume Heatmap is a predictive analytical suite that moves beyond traditional lagging indicators. While a standard RSI or MACD simply tells you where price has been, this system uses Gaussian Machine Learning to determine the statistical probability of where price is going.
By analyzing the Volume of a candle, the internal distribution of volume, delta, and price force, the indicator visualizes market sentiment as a multi-layered heatmap. It allows traders to see whether the current price action is backed by institutional flow or is simply noise.
Core Logic: The Naive Bayes Engine
The brain of the system is a Gaussian Naive Bayes (GNB) classifier. This is a machine learning algorithm that calculates the probability of an event based on prior conditions.
How it Learns
The model continuously "trains" itself on a lookback window (default 500 bars). It analyzes two primary features:
Intensity (Feature 1): Relative Volume (1m mode) or Net Delta (Footprint mode).
Directional Force (Feature 2): The relationship between price spread and volume (1m mode) or POC Distance (Footprint mode).
Here is the self contained function that does the heavy lifting of the probability analysis:
f_naive_bayes(float feat1, float feat2, float target, int len) =>
m1_f1 = ta.sma(target > 0 ? feat1 : na, len), m1_f2 = ta.sma(target > 0 ? feat2 : na, len)
m0_f1 = ta.sma(target <= 0 ? feat1 : na, len), m0_f2 = ta.sma(target <= 0 ? feat2 : na, len)
v1_f1 = math.pow(ta.stdev(target > 0 ? feat1 : na, len), 2), v1_f2 = math.pow(ta.stdev(target > 0 ? feat2 : na, len), 2)
v0_f1 = math.pow(ta.stdev(target <= 0 ? feat1 : na, len), 2), v0_f2 = math.pow(ta.stdev(target <= 0 ? feat2 : na, len), 2)
p1 = nz(ta.sma(target > 0 ? 1.0 : 0.0, len), 0.5)
l1 = f_pdf(feat1, nz(m1_f1), nz(v1_f1)) * f_pdf(feat2, nz(m1_f2), nz(v1_f2)) * p1
l0 = f_pdf(feat1, nz(m0_f1), nz(v0_f1)) * f_pdf(feat2, nz(m0_f2), nz(v0_f2)) * (1.0 - p1)
prob = nz(l1 / (l1 + l0 + 0.000001), 0.5)
This function is the engine of the indicator. It implements a Gaussian Naive Bayes Classifier directly in Pine Script to calculate the real-time probability of a bullish move.
Here is a breakdown of how this code processes market data:
Class Separation (The "M" and "V" Variables)
The function splits historical data into two buckets based on the target (Price Action):
Bucket 1 (Bullish): Data from bars that closed green.
Bucket 0 (Bearish): Data from bars that closed red.
It then calculates the Mean (m) and Variance (v) for each feature within those buckets. This creates two distinct "profiles"—essentially a mathematical fingerprint of what a Bullish bar looks like versus a Bearish one.
Bayesian Inference (The Result)
Finally, it applies Bayes' Theorem to combine these likelihoods with the Prior Probability (p1)—which is simply the historical win rate of green bars over the lookback period.
The final prob is a normalized value between 0 and 1. If the result is 0.85, the model is signaling an 85% statistical probability that the current market conditions align with historical bullish reversals.
The Math
As discussed above, the engine uses the Probability Density Function (PDF) to map these features onto a bell curve. It asks: "In the past, when we saw this specific volume intensity and this specific price force, how often did the next bar close green versus red?"
The result is a Win Probability %. If the probability is >50%, the bias is Bullish; <50% is Bearish.
The Heatmap
The Heatmap is a vertical stack of 20 independent probability layers.
Multi-Horizon Smoothing: Each layer represents a different generation of the Naive Bayes calculation, ranging from ultra-fast (5-bar smoothing) to long-term (100-bar smoothing).
Specialized Features
The Power Index (The White Line)
The Power Index is your Confluence Meter . It scans all 20 layers of the data and counts how many are currently signaling a trend above a 60% threshold.
A spiking Power Index indicates that the trend is synchronizing across all time horizons, a high-probability entry signal.
Footprint Mode vs. 1-Minute Mode
1-Minute Precision: When active, the script uses request.security_lower_tf to deconstruct the current chart bar into 1-minute slices. It finds the "hidden" intent inside the candle that standard indicators miss.
Footprint Analysis: This mode hooks into raw Exchange Order Flow. It calculates Aggressive Buying vs. Aggressive Selling to feed the Naive Bayes engine the most "raw" data possible.
The sidebars: Unique to Footprint mode, these wide neon bars appear to the right of the heatmap.
Real-Time Volume Scaling: The bars grow and shrink based on the current bar's Buy/Sell volume ratio.
Divergence Spotting: If the Heatmap is bright Aqua (Bullish) but the Pink Sell Box is 80% full, you are witnessing Absorption, big players are absorbing the selling, often leading to a massive squeeze.
How to Use the Suite
The Elite Entry
Identify the Bias: Check the NB Probability in the table. You want to see >65% for a high-probability trade.
Confirm the Match: Ensure the heatmap layers are expanding (moving from the dark center toward the bright edges).
Check the Power Index: Wait for the white line to curve upward, confirming momentum is stacking.
The Signal: When the "NB SIGNAL" cell in the table flips to ELITE LONG or ELITE SHORT, the statistical edge is at its peak.
The Elite Exit
Exit when the inner layers of the heatmap turn back to Midnight Charcoal or the opposite color. This indicates that the immediate heartbeat of the trend has faded, even if the longer-term layers are still colored. Indicator
Volatility Regime Switch [Metrify]VRS is a regime classifier that tries to separate two things most indicators mix together: direction and tradability. It doesn’t just ask "is price above/below a line?". it estimates whether the market is currently behaving more like a trend regime or a noise/chop regime, then adapts its switching logic and trailing structure accordingly. The output is a state machine (bull/bear) with a volatility-normalized corridor, plus explicit markers for switch accepted vs switch rejected.
Core idea: switching should depend on regime
Most trend flip tools fail in choppy markets because they apply the same confirmation rules everywhere. VRS tries to avoid that by measuring a continuous regime score:
trreg ≈ how “trend-like” conditions are
nsreg ≈ how “noise-like” conditions are
That regime estimate is then used to:
shape the trailing band distance (wider in chop, tighter in trend),
change the required confirmation for a switch (more strict in noise), and
demand follow-through after a candidate switch (acceptance check).
Regime estimation: how it decides “trend-like” vs “noise-like”
The regime score is built from three normalized features, then blended using inverse-variance weighting again:
Efficiency ratio (ER): Measures directional efficiency: net displacement over a horizon vs total movement. Trends have higher efficiency; chop has lower.
ADX-like trend strength: A custom ADX calculation is normalized (adxn), giving a bounded “trend strength” component.
Volatility ratio (fast/slow): Compares fast ATR to slow ATR and normalizes it. This helps distinguish active expansion vs quieter conditions.
These three components are combined into trreg (0..1). Noise regime is nsreg = 1 - trreg.
The important part is it can behave differently when the market is structurally trending versus when it is structurally noisy.
The anchor + adaptive bands: how the corridor is built
VRS uses two EMAs:
a fast EMA (emaf)
a slower EMA (emas)
It then creates an anchor that interpolates between them based on regime:
when trend regime is strong (trreg high), the anchor leans toward the fast EMA (more responsive)
when noise regime is strong (nsreg high), it leans toward the slow EMA (more stable)
Band distance is bdist = volc * bmult, and bmult is also regime-dependent:
in noise, bmult becomes larger → bands widen → fewer false flips
in trend, bmult tightens → better trailing sensitivity
Finally, the trailing bands (fup, flo) use a classic "non-decreasing band" logic similar to trailing-stop structures: the band only moves in the favorable direction unless price invalidates it, preventing constant band oscillation.
Bias and conviction layer
A switch is not triggered merely by close above/below a band. VRS computes conviction, which mixes:
Intra-bar price action bias
Two normalized elements are used: CLV (close location value) inside the candle range and body direction/strength relative to candle range. Both are Z-scored and squashed (atan-based) to avoid extreme outliers dominating.
Trend bias
Difference between fast and slow EMA, normalized by volatility, then Z-scored and squashed.
Displacement breakout quality
If price breaks above fup or below flo, it computes a breakout 'distance' normalized by volatility, then converts it into a Z-score relative to recent breakout behavior (dbullz, dbearz)
These get blended into a conviction signal that is smoothed, and then compared against a dynamic trigger threshold built from the average + stdev of conviction magnitude. A flip should happen when price action + trend bias + breakout quality jointly exceed what is normal for this market recently.
Practical reading notes
VRS generally behaves best when read as "current regime context + boundary + switch events" rather than as a constant entry/exit engine. In trending conditions, the trail will tend to hug price more tightly and switches will be less frequent. In noisy conditions, the corridor widens and the script becomes more conservative, often producing rejected switch attempts rather than rapid flips.
The rejected-switch markers (yellow X) are explicit evidence that the script detected an attempted regime change but did not see enough acceptance. For discretionary use, those rejection points can be useful as information about failed break attempts or lack of follow-through.
This script is designed to be adaptive, but it still has structural constraints. It uses volatility normalization and regime weighting to reduce parameter brittleness, yet extreme regime changes (sudden volatility spikes, news-driven moves, illiquid gaps) can still cause behavior that looks late or 'overly strict', because acceptance and confirmation are intentionally conservative in high-noise conditions. Conversely, on very smooth trend legs, the trail can appear tight and switches may look clean, but that depends on how the chosen lengths match the instrument’s tempo.
Also, because this is a state machine with acceptance logic, you should expect situations where price briefly breaks a boundary and then returns—those are exactly the environments that produce rejected switches. The indicator surfaces that behavior explicitly instead of hiding it. Indicator
Contrarian Extremes: VIX + Put/Call (CPC, PCC)What this indicator does (in one line :) ):
It highlights sentiment extremes using only CPC, PCC , and VIX , so you can spot the moments when the market is most likely overreacting.
Most indicators try to “predict” price. This one is simpler, it tracks Fear vs Euphoria and marks the zones where emotions are stretched.
The 3 inputs behind it
INDEX:CPC (TotalPut/Call) --> broad options sentiment
USI:PCC --> equity/retail-style fear proxy
CBOE:VIX --> volatility stress / hedging pressure
What you’ll see on the chart
The script paints the background based on 3 regimes:
🫨 Panic --> extreme stress (capitulation-type conditions) --> 🎶 The background music is (Melancholy Man by The Moody Blues) 😨
😰 Fear / Risk-Off --> elevated fear --> defensive positioning
😌 Complacency / Calm --> low fear --> “everything is fine” mode --> 🎶 The background music is (What a Wonderful World by Louis Armstrong) 😁
All thresholds and colors are fully customizable in the Inputs, so you can also change the criteria to get higher or lower frequency signals on the chart.
How I personally interpret it (as a long-term investor)
In my backtests, this indicator behaves like a contrarian compass:
Fear / Panic zones often show up close to better long-term buy areas (not perfect timing, but good asymmetric entries).
Complacency zones often show up near better long-term reduce / take-profit areas (or at least be careful with fresh risk here).
This is not magic and it’s not a buy/sell button. Markets can stay fearful or complacent longer than you expect. But as a long-term investor , this helps you stop chasing hype and start scaling decisions around emotion extremes.
A simple long-term workflow:
Use Daily or Weekly timeframe.
When Fear/Panic appears: consider scaling in (DCA entries, add on confirmation, respect your risk limits).
When Complacency appears: consider scaling out, tightening risk, or being picky with new buys.
Always combine with basics: trend, levels, market structure, and risk management.
Where it tends to work best
Interestingly, this doesn’t only fit S&P/Nasdaq. It also behaves well on:
OANDA:XAUUSD & OANDA:XAGUSD
Large-cap stocks ( NASDAQ:AAPL NASDAQ:NVDA NASDAQ:MSFT NASDAQ:GOOG NASDAQ:AMZN NASDAQ:TSLA NASDAQ:META )
BINANCE:BTCUSD & BINANCE:ETHUSD
In general, it tends to work better (i.e. helps you more) in markets that move more on fear and greed and less on deep fundamental re-pricing.
⚠️ Disclaimer: educational tool only. No indicator is a guarantee. Use proper position sizing and understand the product you trade. Indicator
Smarter Money Flow Divergence Detector [PhenLabs]📊 Smarter Money Flow Divergence Detector
Version: PineScript™ v6
📌 Description
SMFD was developed to help give you guys a better ability to “read” what is going on behind the scenes without directly having access to that level of data. SMFD is an enhanced divergence detection indicator that identifies money flow patterns from advanced volume analysis and price action correspondence. The detection portion of this indicator combines intelligent money flow calculations with multi timeframe volume analysis to help you see hidden accumulation and distribution phases before major price movements occur.
The indicator measures institutional trading activity by looking at volume surges, price volume dynamics, and the factors of momentum to construct an overall picture of market sentiment. It’s built to assist traders in identifying high probability entries by identifying if smart money is positioning against price action.
🚀 Points of Innovation
● Advanced Smart Money Flow algorithm with volume spike detection and large trade weighting
● Multi timeframe volume analysis for enhanced institutional activity detection
● Dynamic overbought/oversold zones that adapt to current market conditions
● Enhanced divergence detection with pivot confirmation and strength validation
● Color themes with customizable visual styling options
● Real time institutional bias tracking through accumulation/distribution analysis
🔧 Core Components
● Smart Money Flow Calculation: Combines price momentum, volume expansion, and VWAP analysis
● Institutional Bias Oscillator: Tracks accumulation/distribution patterns with volume pressure analysis
● Enhanced Divergence Engine: Detects bullish/bearish divergences with multiple confirmation factors
● Dynamic Zone Detection: Automatically adjusts overbought/oversold levels based on market volatility
● Volume Pressure Analysis: Measures buying vs selling pressure over configurable periods
● Multi factor Signal System: Generates entries with trend alignment and strength validation
🔥 Key Features
● Smart Money Flow Period: Configurable calculation period for institutional activity detection
● Volume Spike Threshold: Adjustable multiplier for detecting unusual institutional volume
● Large Trade Weight: Emphasis factor for high volume periods in flow calculations
● Pivot Detection: Customizable lookback period for accurate divergence identification
● Signal Sensitivity: Three tier system (Conservative/Medium/Aggressive) for signal generation
● Themes: Four color schemes optimized for different chart backgrounds
🎨 Visualization
● Main Oscillator: Line, Area, or Histogram display styles with dynamic color coding
● Institutional Bias Line: Real time tracking of accumulation/distribution phases
● Dynamic Zones: Adaptive overbought/oversold boundaries with gradient fills
● Divergence Lines: Automatic drawing of bullish/bearish divergence connections
● Entry Signals: Clear BUY/SELL labels with signal strength indicators
● Information Panel: Real time statistics and status updates in customizable positions
📖 Usage Guidelines
Algorithm Settings
● Smart Money Flow Period
○ Default: 20
○ Range: 5-100
○ Description: Controls the calculation period for institutional flow analysis.
Higher values provide smoother signals but reduce responsiveness to recent activity
● Volume Spike Threshold
○ Default: 1.8
○ Range: 1.0-5.0
○ Description: Multiplier for detecting unusual volume activity indicating institutional participation. Higher values require more extreme volume for detection
● Large Trade Weight
○ Default: 2.5
○ Range: 1.5-5.0
○ Description: Weight applied to high volume periods in smart money calculations. Increases emphasis on institutional sized transactions
Divergence Detection
● Pivot Detection Period
○ Default: 12
○ Range: 5-50
○ Description: Bars to analyze for pivot high/low identification.
Affects divergence accuracy and signal frequency
● Minimum Divergence Strength
○ Default: 0.25
○ Range: 0.1-1.0
○ Description: Required price change percentage for valid divergence patterns.
Higher values filter out weaker signals
✅ Best Use Cases
● Trading with intraday to daily timeframes for institutional position identification
● Confirming trend reversals when divergences align with support/resistance levels
● Entry timing in trending markets when institutional bias supports the direction
● Risk management by avoiding trades against strong institutional positioning
● Multi timeframe analysis combining short term signals with longer term bias
⚠️ Limitations
● Requires sufficient volume for accurate institutional detection in low volume markets
● Divergence signals may have false positives during highly volatile news events
● Best performance on liquid markets with consistent institutional participation
● Lagging nature of volume based calculations may delay signal generation
● Effectiveness reduced during low participation holiday periods
💡 What Makes This Unique
● Multi Factor Analysis: Combines volume, price, and momentum for comprehensive institutional detection
● Adaptive Zones: Dynamic overbought/oversold levels that adjust to market conditions
● Volume Intelligence: Advanced algorithms identify institutional sized transactions
● Professional Visualization: Multiple display styles with customizable themes
● Confirmation System: Multiple validation layers reduce false signal generation
🔬 How It Works
1. Volume Analysis Phase:
● Analyzes current volume against historical averages to identify institutional activity
● Applies multi timeframe analysis for enhanced detection accuracy
● Calculates volume pressure through buying vs selling momentum
2. Smart Money Flow Calculation:
● Combines typical price with volume weighted analysis
● Applies institutional trade weighting for high volume periods
● Generates directional flow based on price momentum and volume expansion
3. Divergence Detection Process:
● Identifies pivot highs/lows in both price and indicator values
● Validates divergence strength against minimum threshold requirements
● Confirms signals through multiple technical factors before generation
💡 Note: This indicator works best when combined with proper risk management and position sizing. The institutional bias component helps identify market sentiment shifts, while divergence signals provide specific entry opportunities. For optimal results, use on liquid markets with consistent institutional participation and combine with additional technical analysis methods. Indicator
Market Sentiment Index US Top 40 [Pt]▮Overview
Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish.
This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment.
▮Key Features
► Three Simple Modes
High Low Index: counts stocks making new highs or lows over your lookback period
Above Below MA: flags stocks trading above or below their moving average
RSI Sentiment: marks overbought or oversold stocks and plots a small histogram
► Universe Selection
Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ
Option to weight by market cap or treat all symbols equally
► Timeframe Choice
Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution
► Histogram Smoothing
Two optional moving averages on the sentiment bars
Markers show when the faster average crosses above or below the slower one
► Ticker Table
Optional on-chart table showing each ticker’s state in color
Grid or single-row layout with adjustable text size and color settings
▮Inputs
► Mode and Lookback
Pick High Low, Above Below MA, or RSI Sentiment
Set lookback length (for example 10 bars)
If using Above Below MA, choose the moving average type (EMA, SMA, etc.)
► Universe Setup
Market: NYSE or NASDAQ
Number of symbols: 10, 20, 30, or 40
Weights: on or off
Timeframe: blank to match chart or pick any other
► Moving Averages on Histogram
Enable fast and slow averages
Set their lengths and types
Choose colors for averages and markers
► Table Options
Show or hide the symbol table
Select text size: tiny, small, or normal
Choose layout: grid or one-row
Pick colors for bullish, neutral, and bearish cells
Show or hide exchange prefixes
▮How to Read It
► Sentiment Bars
Green means bullish
Red means bearish
Near zero means neutral
► Zero Line
Separates bullish from bearish readings
► High Low Line (High Low mode only)
Smooth ratio of highs versus lows over your lookback
► MA Crosses
Fast MA above slow MA hints rising breadth
Fast MA below slow MA hints falling breadth
► Ticker Table
Each cell colored green, gray, or red for bull, neutral, or bear
▮Use Cases
► Confirm Market Trends
Early warning when price makes highs but breadth is weak
Catch rallies when breadth turns strong while price is flat
► Spot Sector Rotation
Switch between NYSE and NASDAQ to see which group leads
Watch tech versus industrial breadth to track money flow
► Filter Trade Signals
Enter longs only when breadth is bullish
Consider shorts when breadth turns negative
► Combine with Other Indicators
Use RSI Sentiment with trend tools to spot overextended moves
Add volume indicators in High Low mode for breakout confirmation
► Timeframe Analysis
Daily for big-picture bias
Intraday (15-min) for precise entries and exits
Indicator
Indicator
Volume Stack US Top 40 [Pt]█ Overview
Volume Stack US Top 40 is a versatile PulseWire indicator designed to give you an at-a-glance view of market sentiment and volume dynamics across the top 40 U.S. large-cap stocks. Inspired by the popular Saty Volume Stack, this enhanced version aggregates essential volume and price strength data from major tickers on both the NYSE and NASDAQ, and works seamlessly on all timeframes.
█ Key Features
Dynamic Buy / Sell Volume Stack: This indicator dynamically stacks the volume bars so that the side with higher volume appears on top. For example, green over red signals more buy-side volume, while red over green indicates greater sell-side volume.
Cross-Market Analysis: Easily toggle between NYSE and NASDAQ to analyze the most influential U.S. stocks. The indicator automatically loads the correct set of tickers based on your selection.
Flexible Coverage: Choose from Top 10, Top 20, Top 30, or Top 40 tickers to tailor the tool to your desired scope of analysis.
Dynamic Table Display: A neat on-chart table lists the selected ticker symbols along with visual cues that reflect each stock’s strength. You can even remove exchange prefixes for a cleaner look.
█ Inputs & Settings
Market Selector: Choose whether to view data from the NYSE or NASDAQ; the indicator automatically loads the corresponding list of top tickers.
Number of Tickers: Select from ‘Top 10’, ‘Top 20’, ‘Top 30’, or ‘Top 40’ stocks to define the breadth of your analysis.
Color Options: Customize the colors for bullish and bearish histogram bars to suit your personal style.
Table Preferences: Adjust the on-chart table’s display style (grid or one row), text size, and decide whether to show exchange information alongside ticker symbols.
█ Usage & Benefits
Volume Stack US Top 40 is ideal for traders and investors who need a clear yet powerful tool to gauge overall market strength. By combining volume and price action data across multiple major stocks, it helps you:
Quickly assess whether the market sentiment is bullish or bearish.
Confirm trends by comparing volume patterns against intraday price movements.
Enhance your trading decisions with a visual representation of market breadth and dynamic buy/sell volume stacking.
Its intuitive design means you spend less time adjusting complex settings and more time making confident, informed decisions.
Indicator
Psychological Levels- Rounding Numbers Psychological Levels Indicator
Overview:
The Psychological Levels Indicator automatically identifies and plots significant price levels based on psychological thresholds, which are key areas where market participants often focus their attention. These levels act as potential support or resistance zones due to human behavioral tendencies to round off numbers. This indicator dynamically adjusts the levels based on the stock's price range and ensures seamless visibility across the chart.
Key Features:
Dynamic Step Sizes:
The indicator adjusts the levels dynamically based on the stock price:
For prices below 500: Levels are spaced at 10.
For prices between 500 and 3000: Levels are spaced at 50, 100, and 1000.
For prices between 3000 and 10,000: Levels are spaced at 100 and 1000.
For prices above 10,000: Levels are spaced at 500 and 1000.
Extended Visibility:
The plotted levels are extended across the entire chart for improved visualization, ensuring traders can easily monitor these critical zones over time.
Customization Options:
Line Color: Choose the color for the levels to suit your charting style.
Line Style: Select from solid, dashed, or dotted lines.
Line Width: Adjust the thickness of the lines for better clarity.
Clean and Efficient Design:
The indicator only plots levels relevant to the visible chart range, avoiding unnecessary clutter and ensuring a clean workspace.
How It Works:
It calculates the relevant step sizes based on the price:
Smaller step sizes for lower-priced stocks.
Larger step sizes for higher-priced stocks.
Primary, secondary, and (if applicable) tertiary levels are plotted dynamically:
Primary Levels: The most granular levels based on the stock price.
Secondary Levels: Higher-order levels for broader significance.
Tertiary Levels: Additional levels for lower-priced stocks to enhance detail.
These levels are plotted across the chart, allowing traders to visualize key psychological areas effortlessly.
Use Cases:
Day Trading: Identify potential intraday support and resistance levels.
Swing Trading: Recognize key price zones where trends may pause or reverse.
Long-Term Investing: Gain insights into significant price zones for entry or exit strategies. Indicator
US Sentiment Index [CryptoSea]The US Sentiment Index is an advanced analytical tool designed for traders seeking to uncover patterns, correlations, and potential leading signals across key market tickers. This indicator surpasses traditional sentiment measures, providing a data-driven approach that offers deeper insights compared to conventional indices like the Fear and Greed Index.
Key Features
Multi-Ticker Analysis: Integrates data from a diverse set of market indicators, including gold, S&P 500, U.S. Dollar Index, Volatility Index, and more, to create a comprehensive view of market sentiment.
Customisable Sensitivity Settings: Allows users to adjust the moving average period to fine-tune the sensitivity of sentiment calculations, adapting the tool to various market conditions and trading strategies.
Detailed Sentiment Scaling: Utilises a 0-100 scale to quantify sentiment strength, with colour gradients that visually represent bearish, neutral, and bullish conditions, aiding in quick decision-making.
Below is an example where the sentiment index can give leading signals. We see a first sign of wekaness in the index as it drops below its moving average. Shortly after we see it dip below our median 50 level, another sign of weakeness. We see the SPX price action to take a hit following the sentiment index decrease.
Tickers Used and Their Impact on Sentiment
The impact of each ticker on sentiment can be bullish or bearish, depending on their behaviour:
Gold (USGD): Typically seen as a safe-haven asset, rising gold prices often indicate increased market fear or bearish sentiment. Conversely, falling gold prices can signal reduced fear and a shift towards bullish sentiment in riskier assets.
S&P 500 (SPX): A rising S&P 500 is usually a sign of bullish sentiment, reflecting confidence in economic growth and market stability. A decline, however, suggests bearish sentiment and a potential move towards risk aversion.
U.S. Dollar Index (DXY): A strengthening U.S. Dollar can be a sign of fear as investors seek safety in the dollar, which is bearish for risk assets. A weakening dollar, on the other hand, can signal bullish sentiment as capital flows into riskier assets.
Volatility Index (VIX): Known as the "fear gauge," a rising VIX indicates increased market fear and bearish sentiment. A falling VIX suggests a calm, bullish market environment.
Junk Bonds (JNK): Rising junk bond prices often reflect bullish sentiment as investors take on more risk for higher returns. Conversely, falling junk bond prices signal increased fear and bearish sentiment.
Long-Term Treasury Bonds (TLT): Higher prices for long-term treasuries usually indicate a flight to safety, reflecting bearish sentiment. Lower prices suggest a shift towards riskier assets, indicating bullish sentiment.
Financial Sector ETF (XLF): Strength in the financial sector is typically bullish, indicating confidence in economic conditions. Weakness in this sector can reflect bearish sentiment and concerns about financial stability.
Unemployment Rate (USUR): A rising unemployment rate is a bearish signal, indicating economic weakness. A declining unemployment rate is bullish, reflecting economic strength and job growth.
U.S. Interest Rates (USINTR, USIRYY): Higher interest rates can be bearish, as they increase borrowing costs and reduce spending. Lower rates are generally bullish, promoting economic growth and risk-taking.
How it Works
Sentiment Calculation: The US Sentiment Index combines data from multiple tickers, calculating sentiment by scaling the distance from their respective moving averages. Each asset's behaviour is interpreted within the context of market fear or greed, providing a refined sentiment reading that adjusts dynamically.
Market Strength Analysis: When the index is above 50 and also above its moving average, it indicates particularly strong or bullish market conditions, driven by greed. Conversely, when the index is below 50 and under its moving average, it signals bearish or weak market conditions, associated with fear.
Correlation and Pattern Detection: The indicator analyses correlations among the included assets to detect patterns that might signal potential market movements, giving traders a leading edge over simpler sentiment measures.
Adaptive Background Colouring: Utilises a colour gradient that dynamically adjusts based on sentiment values, highlighting extreme fear, neutral, and extreme greed levels directly on the chart.
Flexible Display Options: Offers settings to toggle the moving average plot and adjust its period, giving users the ability to tailor the indicator's sensitivity and display to their specific needs.
In this example below, we can see the Sentiment rise above the Moving Average (MA). Price action goes on to follow this, although there is an instance where it dips below the MA, it quickly rises back above again as a sign of strength.
Another way you can use this index is by simply using the MA, if its trending up, we know the macro sentiment is bullish.
Application
Data-Driven Insights: Offers traders a detailed, data-driven approach to sentiment analysis, incorporating a broad spectrum of market indicators to deliver actionable insights.
Pattern Recognition: Helps identify patterns and correlations that may lead to market reversals or continuations, providing a nuanced view that goes beyond simple sentiment gauges.
Enhanced Decision-Making: Equips traders with a robust tool to validate trading strategies and make informed decisions based on comprehensive sentiment analysis.
The US Sentiment Index by is an essential addition to the toolkit of any trader looking to navigate market complexities with precision and confidence. Its advanced features and data-driven approach offer unparalleled insights into market sentiment, setting it apart from conventional sentiment indicators.
Indicator
Cumulative Net Money FlowDescription:
Dive into the financial depth of the markets with the "Cumulative Net Money Flow" indicator, designed to provide a comprehensive view of the monetary dynamics in trading. This tool is invaluable for traders and investors seeking to quantify the actual money entering or exiting the market over a specified period.
Features:
Value-Weighted Calculations: This indicator multiplies the trading volume by the price, offering a money flow perspective rather than just counting shares or contracts.
Custom Timeframe Adaptability: Adjust the timeframe to match your trading strategy, whether you are day trading, swing trading, or looking for longer-term trends.
Cumulative Insight: Tracks and accumulates net money flow to highlight overall market sentiment, making it easier to spot trends in capital movement.
Color-Coded Visualization: Displays positive money flow in green and negative money flow in red, providing clear, visual cues about market conditions.
Utility: "Cumulative Net Money Flow" is particularly effective in revealing the strength behind market movements. By understanding whether the money flow is predominantly buying or selling, traders can better align their strategies with market sentiment. This indicator is suited for various asset classes, including stocks, cryptocurrencies, and forex. Indicator
Market Internals: VolumeThe indicator plots the total volume of the NYSE and NASDAQ exchanges and identifies periods with significant asymmetry between Up Volume and Down Volume. It can be used as an additional tool to confirm broad market sentiment.
Chart shows Total Volume (TVOL) bars for SPY daily chart. Green bars for UVOL>>DVOL, Red for DVOL>>UVOL. Neutral bars are gray. Blue line shows median TVOL.
Rationale:
Up Volume (UVOL) and Down Volume (DVOL) represent the total volume of stocks that have increased or decreased in price, respectively, compared to the previous session's closing price. The magnitude of the price change is irrelevant.
When UVOL is significantly higher than DVOL, it indicates a prevailing buying sentiment in the broad market. Conversely, when DVOL is higher, it signals prevailing selling sentiment.
Occasionally, the UVOL/DVOL (VOLD) ratio may be misaligned with the movement of the S&P index. The picture below illustrates an example of a day when the S&P declined, yet the UVOL was twice larger than DVOL. Such a divergence can suggest that the S&P was pulled down by a decline in a few large-cap stocks, while the broader market remained positive. In this case, the divergence led to a continuation of the rally.
Thus, VOLD, when combined with volume analysis, can be an effective tool for confirming market trends.
Parameters:
VOLD Ratio – minimum ratio of UVOL/DVOL or DVOL/UVOL. Indicator will color code volume columns when condition is true (“green” means buying; “red” selling).
Median Length – number of periods to calculate median TVOL.
Show Divergencies – indicator marks divergencies between price and volume sentiments on the main chart. Only works for SPY chart.
Users can also choose which exchanges (NASDAQ/NYSE) to use for volume calculation.
Notes:
Volume is shown in millions of contracts
Indicator should be used on the daily or higher timeframes. It won't work properly on the intraday charts
Disclaimer
This indicator should not be used as a standalone tool to make trading decisions but only in conjunction with other technical analysis methods.
Indicator
S&P Short-Range Oscillator**SHOULD BE USED ON THE S&P 500 ONLY**
The S&P Short-Range Oscillator (SRO), inspired by the principles of Jim Cramer's oscillator, is a technical analysis tool designed to help traders identify potential buy and sell signals in the stock market, specifically for the S&P 500 index. The SRO combines several market indicators to provide a normalized measure of market sentiment, assisting traders in making informed decisions.
The SRO utilizes two simple moving averages (SMAs) of different lengths: a 5-day SMA and a 10-day SMA. It also incorporates the daily price change and market breadth (the net change of closing prices). The 5-day and 10-day SMAs are calculated based on the closing prices. The daily price change is determined by subtracting the opening price from the closing price. Market breadth is calculated as the difference between the current closing price and the previous closing price.
The raw value of the oscillator, referred to as SRO Raw, is the sum of the daily price change, the 5-day SMA, the 10-day SMA, and the market breadth. This raw value is then normalized using its mean and standard deviation over a 20-day period, ensuring that the oscillator is centered and maintains a consistent scale. Finally, the normalized value is scaled to fit within the range of -15 to 15.
When interpreting the SRO, a value below -5 indicates that the market is potentially oversold, suggesting it might be a good time to start buying stocks as the market could be poised for a rebound. Conversely, a value above 5 suggests that the market is potentially overbought. In this situation, it may be prudent to hold on to existing positions or consider selling if you have substantial gains.
The SRO is visually represented as a blue line on a chart, making it easy to track its movements. Red and green horizontal lines mark the overbought (5) and oversold (-5) levels, respectively. Additionally, the background color changes to light red when the oscillator is overbought and light green when it is oversold, providing a clear visual cue.
By incorporating the S&P Short-Range Oscillator into your trading strategy, you can gain valuable insights into market conditions and make more informed decisions about when to buy, sell, or hold your stocks. However, always consider other market factors and perform your own analysis before making any trading decisions.
The S&P Short-Range Oscillator is a powerful tool for traders looking to gain insights into market sentiment. It provides clear buy and sell signals through its combination of multiple indicators and normalization process. However, traders should be aware of its lagging nature and potential complexity, and use it in conjunction with other analysis methods for the best results.
Disclaimer
The S&P Short-Range Oscillator is for informational purposes only and should not be considered financial advice. Trading involves risk, and you should conduct your own research or consult a financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Use at your own risk. Indicator
Market Sentiment Technicals [LuxAlgo]The Market Sentiment Technicals indicator synthesizes insights from diverse technical analysis techniques, including price action market structures, trend indicators, volatility indicators, momentum oscillators, and more.
The indicator consolidates the evaluated outputs from these techniques into a singular value and presents the combined data through an oscillator format, technical rating, and a histogram panel featuring the sentiment of each component alongside the overall sentiment.
🔶 USAGE
The Market Sentiment Technicals indicator is a tool able to swiftly and easily gauge market sentiment by consolidating the individual sentiment from multiple technical analysis techniques applied to market data into a single value, allowing users to asses if the market is uptrending, consolidating, or downtrending.
The tool includes various components and presentation formats, each described in the sub-sections below.
🔹Indicators Sentiment Panel
The indicators sentiment panel provides normalized sentiment scores for each supported indicator, along with a synthesized representation derived from the average of all individual normalized sentiments.
🔹Market Sentiment Meter
The market sentiment meter is obtained from the synthesized representation derived from the average of all individual normalized sentiments. It allows users to quickly and easily gauge the overall market sentiment.
🔹Market Sentiment Oscillator
The market sentiment oscillator provides a visual means to monitor the current and historical strength of the market. It assists in identifying the trend direction, trend momentum, and overbought and oversold conditions, aiding in the anticipation of potential trend reversals.
Divergence occurs when there is a difference between what the price action is indicating and what the market sentiment oscillator is indicating, helping traders assess changes in the price trend.
🔶 DETAILS
The indicator employs a range of technical analysis techniques to interpret market data. Each group of indicators provides valuable insights into different aspects of market behavior.
🔹Momentum Indicators
Momentum indicators assess the speed and change of price movements, often indicating whether a trend is strengthening or weakening.
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Stochastic %K: Compares the closing price to the range over a specified period to identify potential reversal points.
Stochastic RSI Fast: Combines features of Stochastic oscillators and RSI to gauge both momentum and overbought/oversold levels efficiently.
Commodity Channel Index (CCI): Measures the deviation of an asset's price from its statistical average to determine trend strength and overbought and oversold conditions.
Bull Bear Power: Evaluates the strength of buying and selling pressure in the market.
🔹Trend Indicators
Trend indicators help traders identify the direction of a market trend.
Moving Averages: Provides a smoothed representation of the underlying price data, aiding in trend identification and analysis.
Bollinger Bands: Consists of a middle band (typically a simple moving average) and upper and lower bands, which represent volatility levels of the market.
Supertrend: A trailing stop able to identify the current direction of the trend.
Linear Regression: Fits a straight line to past data points to predict future price movements and identify trend direction.
🔹Market Structures
Market Structures: Analyzes the overall pattern of price movements, including Break of Structure (BOS), Market Structure Shifts (MSS), also referred to as Change of Character (CHoCH), aiding in identifying potential market turning and continuation points.
🔹The Normalization Technique
The normalization technique employed for trend indicators relies on buy-sell signals. The script tracks price movements and normalizes them based on these signals.
normalize(buy, sell, smooth)=>
var os = 0
var float max = na
var float min = na
os := buy ? 1 : sell ? -1 : os
max := os > os ? close : os < os ? max : math.max(close, max)
min := os < os ? close : os > os ? min : math.min(close, min)
ta.sma((close - min)/(max - min), smooth) * 100
In this Pine Script snippet:
The variable os tracks market sentiment, taking a value of 1 for buy signals and -1 for sell signals, indicating bullish and bearish sentiments, respectively.
max and min are used to identify extremes in sentiment and are updated based on changes in os . When market sentiment shifts from buying to selling (or vice versa), max and min adjust accordingly.
Normalization is achieved by comparing current price levels to historical extremes in sentiment. The result is smoothed by default using a 3-period simple moving average. Users have the option to customize the smoothing period via the script settings input menu.
🔶 SETTINGS
🔹Generic Settings
Timeframe: This option selects the timeframe for calculating sentiment. If a timeframe lower than the chart's is chosen, calculations will be based on the chart's timeframe.
Horizontal Offset: Determines the distance at which the visual components of the indicator will be displayed from the primary chart.
Gradient Colors: Allows customization of gradient colors.
🔹Indicators Sentiment Panel
Indicators Sentiment Panel: Toggle the visibility of the indicators sentiment panel.
Panel Height: Determines the height of the panel.
🔹Market Sentiment Meter
Market Sentiment Meter: Toggle the visibility of the market sentiment meter (technical ratings in the shape of a speedometer).
🔹Market Sentiment Oscillator
Market Sentiment Oscillator: Toggle the visibility of the market sentiment oscillator.
Show Divergence: Enables detection of divergences based on the selected option.
Oscillator Line Width: Customization option for the line width.
Oscillator Height: Determines the height of the oscillator.
🔹Settings for Individual Components
In general,
Source: Determines the data source for calculations.
Length: The period to be used in calculations.
Smoothing: Degree of smoothness of the evaluated values.
🔹Normalization Settings - Trend Indicators
Smoothing: The period used in smoothing normalized values, where normalization is applied to moving averages, Bollinger Bands, Supertrend, VWAP bands, and market structures.
🔶 LIMITATIONS
Like any technical analysis tool, the Market Sentiment Technicals indicator has limitations. It's based on historical data and patterns, which may not always accurately predict future market movements. Additionally, market sentiment can be influenced by various factors, including economic news, geopolitical events, and market psychology, which may not be fully captured by technical analysis alone. Indicator
Multi-Frame Market Sentiment DashboardOverview
This Pine Script™ code generates a "Market Sentiment Dashboard" on PulseWire, providing a visual summary of market sentiment across multiple timeframes. This tool aids traders in making informed decisions by displaying real-time sentiment analysis based on Exponential Moving Averages (EMA).
Key Features
Panel Positioning:
Custom Placement: Traders can position the dashboard at the top, middle, or bottom of the chart and align it to the left, center, or right, ensuring optimal integration with other chart elements.
Customizable Colors:
Sentiment Colors: Users can define colors for bullish, bearish, and neutral market conditions, enhancing the dashboard's readability.
Text Color: Customizable text color ensures clarity against various background colors.
Label Size:
Scalable Labels: Adjustable label sizes (from very small to very large) ensure readability across different screen sizes and resolutions.
Market Sentiment Calculation:
EMA-Based Sentiment: The dashboard calculates sentiment using a 9-period EMA. If the EMA is higher than two bars ago, the sentiment is bullish; if lower, it's bearish; otherwise, it's neutral.
Multiple Timeframes: Sentiment is calculated for several timeframes: 1 minute, 3 minutes, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, and 1 day. This broad analysis provides a comprehensive view of market conditions.
Dynamic Table:
Structured Display: The dashboard uses a table to organize and display sentiment data clearly.
Real-Time Updates: The table updates in real-time, providing traders with up-to-date market information.
How It Works
EMA Calculation: The script requests EMA(9) values for each specified timeframe and compares the current EMA with the EMA from two bars ago to determine market sentiment.
Color Coding: Depending on the sentiment (Bullish, Bearish, or Neutral), the corresponding cell in the table is color-coded using predefined colors.
Table Display: The table displays the timeframe and corresponding sentiment, allowing traders to quickly assess market trends.
Benefits to Traders
Quick Assessment: Traders can quickly evaluate market sentiment across multiple timeframes without switching charts or manually calculating indicators.
Enhanced Visualization: The color-coded sentiment display makes it easy to identify trends at a glance.
Multi-Timeframe Analysis: Provides a broad view of short-term and long-term market trends, helping traders confirm trends and avoid false signals.
This dashboard enhances the overall trading experience by providing a comprehensive, customizable, and easy-to-read summary of market sentiment.
Usage Instructions
Add the Script to Your Chart: Apply the "Market Sentiment Dashboard" indicator to your PulseWire chart.
Customize Settings: Adjust the panel position, colors, and label sizes to fit your preferences.
Interpret Sentiment: Use the color-coded table to quickly understand the market sentiment across different timeframes and make informed trading decisions. Indicator
Commitments of Traders Report [Advanced]This indicator displays the Commitment of Traders (COT) report data in a clear, table format similar to an Excel spreadsheet, with additional functionalities to analyze open interest and position changes. The COT report, published weekly by the Commodity Futures Trading Commission (CFTC), provides valuable insights into market sentiment by revealing the positioning of various trader categories.
Display:
Release Date: When the data was released.
Open Interest: Shows the total number of open contracts for the underlying instrument held by selected trader category.
Net Contracts: Shows the difference between long and short positions for selected trader category.
Long/Short OI: Displays the long and short positions held by selected trader category.
Change in Long/Short OI: Displays the change in long and short positions since the previous reporting period. This can highlight buying or selling pressure.
Long & Short Percentage: Displays the percentage of total long and short positions held by each category.
Trader Categories (Configurable)
Commercials: Hedgers who use futures contracts to manage risk associated with their underlying business (e.g., producers, consumers).
Non-Commercials (Large Speculators): Speculative traders with large positions who aim to profit from price movements (e.g., hedge funds, investment banks).
Non-Reportable (Small Speculators/Retail Traders): Smaller traders with positions below the CFTC reporting thresholds.
CFTC Code: If the indicator fails to retrieve data, you can manually enter the CFTC code for the specific instrument. The code for instrument can be found on CFTC's website.
Using the Indicator Effectively
Market Sentiment Gauge: Analyze the positioning of each trader category to gauge overall market sentiment.
High net longs by commercials might indicate a bullish outlook, while high net shorts could suggest bearish sentiment.
Changes in open interest and long/short positions can provide additional insights into buying and selling pressure.
Trend Confirmation: Don't rely solely on COT data for trade signals. Use it alongside price action and other technical indicators for confirmation.
Identify Potential Turning Points: Extreme readings in COT data, combined with significant changes in open interest or positioning, might precede trend reversals, but exercise caution and combine with other analysis tools.
Disclaimer
Remember, the COT report is just one piece of the puzzle. It should not be used for making isolated trading decisions. Consider incorporating it into a comprehensive trading strategy that factors in other technical and fundamental analysis.
Credit
A big shoutout to Nick from Transparent FX ! His expertise and thoughtful analysis have been a major inspiration in developing this COT Report indicator. To know more about this indicator and how to use it, be sure to check out his work.
Indicator
Indicator
Developing Market Profile / TPO [Honestcowboy]The Developing Market Profile Indicator aims to broaden the horizon of Market Profile / TPO research and trading. While standard Market Profiles aim is to show where PRICE is in relation to TIME on a previous session (usually a day). Developing Market Profile will change bar by bar and display PRICE in relation to TIME for a user specified number of past bars.
What is a market profile?
"Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical axis against time on the horizontal, and the ensuing graphic generally is a bell shape--fatter at the middle prices, with activity trailing off and volume diminished at the extreme higher and lower prices."
For education on market profiles I recommend you search the net and study some profitable traders who use it.
Key Differences
Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms.
Updates bar by bar
Does not take sessions into account
Shows historical values for each bar
While there is an entire education system build around Market Profiles they usually focus on a daily profile and in some cases how the value area develops during the day (there are indicators showing the developing value area).
The idea of trading based on a developing value area is what inspired me to build the Developing Market Profile.
🟦 CALCULATION
Think of this Developing Market Profile the same way as you would think of a moving average. On each bar it will lookback 200 bars (or as user specified) and calculate a Market Profile from those bars (range).
🔹Market Profile gets calculated using these steps:
Get the highest high and lowest low of the price range.
Separate that range into user specified amount of price zones (all spaced evenly)
Loop through the ranges bars and on each bar check in which price zones price was, then add +1 to the zones price was in (we do this using the OccurenceArray)
After it looped through all bars in the range it will draw columns for each price zone (using boxes) and make them as wide as the OccurenceArray dictates in number of bars
🔹Coloring each column:
The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation.
The historical display of the profiles uses plotchar() and will not only use the color of the column at that time but the % rating will also decide transparancy for further detail when analysing how the profiles developed over time. Each of those historical profiles is calculated using its own 200 past bars. This makes the script very heavy and that is why it includes optimisation settings, more info below.
🟦 USAGE
My general idea of the markets is that they are ever changing and that in studying that changing behaviour a good trader is able to distinguish new behaviour from old behaviour and adapt his approach before losing traders "weak hands" do.
A Market Profile can visually show a trader what kind of market environment we currently are in. In training this visual feedback helps traders remember past market environments and how the market behaved during these times.
Use the history shown using plotchars in colors to get an idea of how the Market Profile looked at each bar of the chart.
This history will help in studying how price moves at different stages of the Market Profile development.
I'm in no way an expert in trading Market Profiles so take this information with a grain of salt. Below an idea of how I would trade using this indicator:
🟦 SETTINGS
🔹MARKET PROFILING
Lookback: The amount of bars the Market Profile will look in the past to calculate where price has been the most in that range
Resolution: This is the amount of columns the Market Profile will have. These columns are calculated using the highest and lowest point price has been for the lookback period
Resolution is limited to a maximum of 32 because of pinescript plotting limits (64). Each plotchar() because of using variable colors takes up 2 of these slots
🔹VISUAL SETTINGS
Profile Distance From Chart: The amount of bars the market profile will be offset from the current bar
Border width (MP): The line thickness of the Market Profile column borders
Character: This is the character the history will use to show past profiles, default is a square.
Color theme: You can pick 5 colors from biggest column of the Profile to smallest column of the profile.
Numbers: these are for % to decide column color. So on default top 20% will be red, top 40% purple... Always use these in descending order
Show Market Profile: This setting will enable/disable the current Market Profile (columns on right side of current bar)
Show Profile History: This setting will enable/disable the Profile History which are the colored characters you see on each bar
🔹OPTIMISATION AND DEBUGGING
Calculate from here: The Market Profile will only start to calculate bar by bar from this point. Setting is needed to optimise loading time and quite frankly without it the script would probably exceed pulsewire loading time limits.
Min Size: This setting is there to avoid visual bugs in the script. Scaling the chart there can be issues where the Market Profile extends all the way to 0. To avoid this use a minimum size bigger than the bugged bottom box Indicator
Liquidity Sentiment Profile [LuxAlgo]The Liquidity Sentiment Profile is an advanced charting tool that measures by combining PRICE and VOLUME data over specified anchored periods and highlights within a sequence of profiles the distribution of the liquidity and the market sentiment at specific price levels.
The Liquidity Sentiment Profile allows traders to reveal significant price levels, dominant market sentiment, support and resistance levels, supply and demand zones, liquidity availability levels, liquidity gaps, consolidation zones, and more based on price and volume data.
Liquidity refers to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
🔶 USAGE
A Liquidity Sentiment Profile is a combination of a liquidity and a sentiment profile, where the right part of the profile displays the distribution of the traded activity at different price levels and the left part displays the market sentiment at those price levels.
The Liquidity Sentiment Profiles are visualized with different colors, where each color has a different meaning.
The Liquidity Sentiment Profiles aim to present Value Areas based on the significance of price levels, thus allowing users to identify value areas that can be formed more than once within the range of a single profile.
Level of Significance Line - displays the changes in the price levels with the highest traded activity (developing POC)
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Sentiment Profiles
Anchor Period: The indicator resolution is set by the input of the Anchor Period, the default option is AUTO.
🔹 Liquidity Profile Settings
Liquidity Profile: Toggles the visibility of the Liquidity Profiles
High Traded Nodes: Threshold and Color option for High Traded Nodes
Average Traded Nodes: Color option for Average Traded Nodes
Low Traded Nodes: Threshold and Color option for Low Traded Nodes
🔹 Sentiment Profile Settings
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔹 Other Settings
Level of Significance: Toggles the visibility of the Level of Significance Line
Profile Price Levels: Toggles the visibility of the Profile Price Levels
Number of Rows: Specify how many rows each profile histogram will have. Caution, having it set to high values will quickly hit Pine Script™ drawing objects limit and fewer historical profiles will be displayed
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Range Background Fill: Toggles the visibility of the Profiles Range
🔶 LIMITATIONS
The amount of drawing objects that can be used is limited, as such using a high number of rows can display fewer historical profiles and occasionally incomplete profiles.
🔶 RELATED SCRIPTS
🔹 Buyside-Sellside-Liquidity
🔹 ICT-Concepts
🔹 Swing-Volume-Profiles Indicator
TICK Divergence + Heikin Ashi [Pt]This indicator identifies divergence between NYSE TICK and price, displays TICK in line, bar, or Heikin Ashi format, calculates various types of moving average lines and shows moving average crossovers.
What is TICK
NYSE TICK, also known as the TICK index, is a technical analysis indicator that shows the number of stocks on the New York Stock Exchange (NYSE) that are trading on an uptick or a downtick in a particular period of time. The TICK index is calculated by subtracting the number of stocks trading on a downtick from the number of stocks trading on an uptick. A reading of +1000 on the TICK index, for example, would indicate that there are 1000 more stocks trading on an uptick than on a downtick. The TICK index is often used as a measure of market sentiment, as it can provide insight into whether there is more buying or selling pressure in the market at a given time. A high TICK index reading may suggest that there is strong buying pressure, while a low TICK index reading may indicate that there is more selling pressure in the market.
The TICK index is usually very volatile, so this indicator is best suited for lower timeframes, such as 1 to 5 min charts.
Features
1) Shows bullish, bearish, hidden bullish and hidden bearish divergences
2) Three display modes for TICK data: Line, Bar, Heikin-Ashi
3) Plot various moving average lines and crossovers. Overall background
4) Configurable significant zones. Background colors will change based on closing TICK value.
Indicator
Indicator
Strategy
Strategy
