Quarterly Theory ICT 04 [TradingFinder] SSMT 4Quarter Divergence🔵 Introduction
Sequential SMT Divergence is an advanced price-action-based analytical technique rooted in the ICT (Inner Circle Trader) methodology. Its primary objective is to identify early-stage divergences between correlated assets within precise time structures. This tool not only breaks down market structure but also enables traders to detect engineered liquidity traps before the market reacts.
In simple terms, SMT (Smart Money Technique) occurs when two correlated assets—such as indices (ES and NQ), currency pairs (EURUSD and GBPUSD), or commodities (Gold and Silver)—exhibit different reactions at key price levels (swing highs or lows). This lack of alignment is often a sign of smart money manipulation and signals a lack of confirmation in the ongoing trend—hinting at an imminent reversal or at least a pause in momentum.
In its Sequential form, SMT divergences are examined through a more granular temporal lens—between intraday quarters (Q1 through Q4). When SMT appears at the transition from one quarter to another (e.g., Q1 to Q2 or Q3 to Q4), the signal becomes significantly more powerful, often aligning with a critical phase in the Quarterly Theory—a framework that segments market behavior into four distinct phases: Accumulation, Manipulation, Distribution, and Reversal/Continuation.
For instance, a Bullish SMT forms when one asset prints a new low while its correlated counterpart fails to break the corresponding low from the previous quarter. This usually indicates absorption of selling pressure and the beginning of accumulation by smart money. Conversely, a Bearish SMT arises when one asset makes a higher high, but the second asset fails to confirm, signaling distribution or a fake-out before a decline.
However, SMT alone is not enough. To confirm a true Market Structure Break (MSB), the appearance of a Precision Swing Point (PSP) is essential—a specific candlestick formation on a lower timeframe (typically 5 to 15 minutes) that reveals the entry of institutional participants. The combination of SMT and PSP provides a more accurate entry point and better understanding of premium and discount zones.
The Sequential SMT Indicator, introduced in this article, dynamically scans charts for such divergence patterns across multiple sessions. It is applicable to various markets including Forex, crypto, commodities, and indices, and shows particularly strong performance during mid-week sessions (Wednesdays and Thursdays)—when most weekly highs and lows tend to form.
Bullish Sequential SMT :
Bearish Sequential SMT :
🔵 How to Use
The Sequential SMT (SSMT) indicator is designed to detect time and structure-based divergences between two correlated assets. This divergence occurs when both assets print a similar swing (high or low) in the previous quarter (e.g., Q3), but in the current quarter (e.g., Q4), only one asset manages to break that swing level—while the other fails to reach it.
This temporal mismatch is precisely identified by the SSMT indicator and often signals smart money activity, a market phase transition, or even the presence of an engineered liquidity trap. The signal becomes especially powerful when paired with a Precision Swing Point (PSP)—a confirming candle on lower timeframes (5m–15m) that typically indicates a market structure break (MSB) and the entry of smart liquidity.
🟣 Bullish Sequential SMT
In the previous quarter, both assets form a similar swing low.
In the current quarter, one asset (e.g., EURUSD) breaks that low and trades below it.
The other asset (e.g., GBPUSD) fails to reach the same low, preserving the structure.
This time-based divergence reflects declining selling pressure, potential absorption, and often marks the end of a manipulation phase and the start of accumulation. If confirmed by a bullish PSP candle, it offers a strong long opportunity, with stop-losses defined just below the swing low.
🟣 Bearish Sequential SMT
In the previous quarter, both assets form a similar swing high.
In the current quarter, one asset (e.g., NQ) breaks above that high.
The other asset (e.g., ES) fails to reach that high, remaining below it.
This type of divergence signals weakening bullish momentum and the likelihood of distribution or a fake-out before a price drop. When followed by a bearish PSP candle, it sets up a strong shorting opportunity with targets in the discount zone and protective stops placed above the swing high.
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include: Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All: Every signal triggers an alert.
Once Per Bar: Alerts once per bar regardless of how many signals occur.
Per Bar Close: Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
The Sequential SMT (SSMT) indicator is a powerful and precise tool for identifying structural divergences between correlated assets within a time-based framework. Unlike traditional divergence models that rely solely on sequential pivot comparisons, SSMT leverages Quarterly Theory, in combination with concepts like liquidity sweeps, market structure breaks (MSB) and precision swing points (PSP), to provide a deeper and more actionable view of market dynamics.
By using SSMT, traders gain not only the ability to identify where divergence occurs, but also when it matters most within the market cycle. This empowers them to anticipate major moves or traps before they fully materialize, and position themselves accordingly in high-probability trade zones.
Whether you're trading Forex, crypto, indices, or commodities, the true strength of this indicator is revealed when used in sync with the Accumulation, Manipulation, Distribution, and Reversal phases of the market. Integrated with other confluence tools and market models, SSMT can serve as a core component in a professional, rule-based, and highly personalized trading strategy.
Chu kỳ
Simple Signals [ko]Simple Signals is an indicator to highlight turning points in oscillations.
Simple Signals, abbreviated SS, has two lines. The red/green line is a smoothed representation of the current price action. Notice how similar the shape of the indicator is to the smoothed price line.
However instead of being at absolute price levels, the price line oscillates around zero. Think of the zero line as an SMA 50. The top panel has an SMA 50. Look at how the crossings match up.
The white line is the slope of the price line. Some who survived calculus might call it a derivative. So when the white line crosses the zero line, there's your signal. There are triangle indicators to also highlight this momentous occasion of catching the turning point. Ride 'em, cowboy.
The parameters for adjustment are:
Derivative Smoothing, initially set at 10, smooths the white line so it does not jump around erratically. Take it down to 1 and you'll see the individual bar log returns, which looks a little frantic to me. Higher values, say 20, 30 or 40, will smooth the line more at the cost of introducing lag. Lag is the bane of a trader's existence.
Curve Smoothing: smooths the price line. Set to 200 initially, the price line approximates the shape of the actual smoothed price action, with crossings. Alternative settings for Curve Smoothing are anything greater than the Derivative Smoothing value.
Curve Scale, is a multiplier for the curve, which is necessary when changing time frames. This indicator has been tested down to 5 second bars with favorable results.
Derivative Smoothing at 40 and Curve Smoothing at 50 provide a zero line that is close to an SMA 20. I frequently have the indicator up twice with the two different settings to show signals and confirmations in rapidly evolving markets. Trends and reversals can lead to whipsaw patterns. Multiple instances simultaneously can help avoid those pitfalls.
Hope you like it. If you find any other parameter combinations useful, please post in the comments.
[blackcat] L2 Ehlers Convolution Indicator V2OVERVIEW The L2 Ehlers Convolution Indicator V2 is an advanced technical analysis tool that applies convolution techniques to identify market trends and potential reversal points. It uses adaptive filtering to analyze price movements across multiple timeframes.
FEATURES
• Advanced convolution algorithm based on Ehlers' methodology
• Multiple timeframe analysis (S2 through S60)
• Dynamic color coding for trend direction:
Red: Downward trend
Green: Upward trend • Adjustable sensitivity through period inputs
HOW TO USE
Input Parameters:
• ShortestPeriod: Minimum period length for calculations
• LongestPeriod: Maximum period length for calculations
Interpretation:
• Red bars indicate downward momentum
• Green bars indicate upward momentum
• Bar height corresponds to the timeframe analyzed
LIMITATIONS
• Requires sufficient historical data for accurate calculations
• May produce false signals during volatile markets
• Performance depends on selected period parameters
NOTES
• The indicator uses arrays to store correlation, slope, and convolution values
• Each bar represents a different timeframe analysis
• Color intensity varies based on the strength of the signal
10:05 AM 5min 15min 1hour high and low This indicator gives the ranges for the high and low of the first 5 min candle, the first 15min candle, and the first hour candle.
The 10:05 candle is typically the first candle without the liquidity, and starts the trend.
[blackcat] L2 Ehlers Autocorrelation Periodogram V2OVERVIEW
The Ehlers Autocorrelation Periodogram is a sophisticated technical analysis tool that identifies market cycles and their dominant frequencies using autocorrelation and spectral analysis techniques.
BACKGROUND
Developed by John F. Ehlers and detailed in his book "Cycle Analytics for Traders" (2013), this indicator combines autocorrelation functions with discrete Fourier transforms to extract cyclic information from price data.
FUNCTION
The indicator works through these key steps:
Calculates autocorrelation using minimum three-bar averaging
Applies discrete Fourier transform to extract cyclic information
Uses center-of-gravity algorithm to determine dominant cycle
ADVANTAGES
• Rapid response within half-cycle periods
• Accurate relative cyclic power estimation over time
• Correlation constraints between -1 and +1 eliminate amplitude compensation needs
• High resolution independent of windowing functions
HOW TO USE
Add the indicator to your chart
Adjust AvgLength input parameter:
• Default: 3 bars
• Higher values increase smoothing
• Lower values increase sensitivity
Interpret the results:
• Colored bars represent spectral power
• Red to yellow spectrum indicates cycle strength
• White line shows dominant cycle period
INTERPRETATION
• Strong colors indicate significant cyclic activity
• Sharp color transitions suggest potential cycle changes
• Dominant cycle line helps identify primary market rhythm
LIMITATIONS
• Requires sufficient historical data
• Performance may vary in non-cyclical markets
• Results depend on proper parameter settings
NOTES
• Uses highpass and super smoother filtering techniques
• Spectral estimates are normalized between 0 and 1
• Color intensity varies based on spectral power
THANKS
This implementation is based on Ehlers' original work and has been adapted for TradingView's Pine Script platform.
Market Session StrategyMarket Session Strategy Indicator Explanation
This is a TradingView Pine Script indicator called "Market Session Strategy" that monitors different market sessions and generates trading signals based on pattern analysis between sessions. Let me break down how it works:
Core Functionality
The indicator divides the trading day into three sessions:
Pre-Market (7:30 PM - 3:00 AM ET by default)
Regular Market (3:00 AM - 9:30 AM ET by default)
After Hours (9:30 AM - 4:00 PM ET by default)
For each session, it:
Tracks price action (open, high, low, close)
Calculates range percentages
Identifies session bias (bullish or bearish)
Draws visual session boxes on the chart
Generates trading signals based on historical patterns
Signal Generation Methodology
The indicator generates BUY/SELL signals at the beginning of the Regular Market and After Hours sessions using three main strategies:
1. Trend Continuation/Reversal Analysis
The script tracks how often a bullish/bearish trend in one session continues or reverses in the next session. For example:
If pre-market trends historically continue into regular hours 70% of the time and today's pre-market is bullish, it may generate a BUY signal.
If reversals are more common, it may generate a counter-trend signal.
2. Tight Range Breakout Signal
The indicator identifies "tight range" sessions (where price movement is unusually constrained compared to recent averages). A tight range with a bullish bias generates a BUY signal, while a bearish bias generates a SELL signal.
3. Day of Week Pattern Analysis
The script analyzes which days of the week show stronger trend continuation probabilities. If a particular day (like Monday) historically shows strong trend continuation and the threshold is met, it generates a signal accordingly.
Visual Components
The indicator provides several visual elements:
Colored session boxes showing high/low ranges
Signal labels at entry points
Session background colors with high transparency
A comprehensive dashboard showing session status, range percentages, bias, and signals
Performance Tracking
The script tracks trade success by session and day of week, which helps refine future signals. A trade is considered successful if:
A BUY signal is followed by a close higher than open
A SELL signal is followed by a close lower than open
Premarket and afterhours high/low This indicator labels the high and low of the after hours and premarket session,
Cycle Trend - [Dakon]The Cycle Trend indicator is a visual tool designed to help traders identify the trend structure and potential cycle momentum in the market
Simple and Powerful indicator
It combines a custom channel based on RMA (Running Moving Average) of the high, low, and close prices with multiple long-term RMA lines to give a clearer view of the price's rhythm and trend behavior.
How It Works:
PAC Channel (Hi, Lo, Close):
Smoothed with RMA, the channel envelopes the price action to highlight the average high and low range over a configurable period (High Low Close)
The middle line (Close PAC RMA) represents the core direction of price movement.
Cycle Smoothing Lines (RMA 36 / 54 / 72):
These lines act as long-term filters for identifying trend phases and the momentum cycle.
Useful for spotting convergence/divergence and trend transitions.
✅ How to Use:
Trend Direction:
When price stays above the PAC and slope upwards → Bullish trend.
When price stays below the PAC and slope downwards → Bearish trend.
Support/Resistance:
The band (High and Low) act as dynamic support/resistance zones during trends or consolidation phases.
Cycle Timing:
The layered RMAs (36/54/72) help identify early trend changes, late-stage trends, or price compression zones.
Identifying cycle-based trends in crypto, forex, and stock markets
BINANCE:BTCUSDT RSI📊 BTC RSI Deviation Visualizer
This indicator visualizes the deviation of BTC RSI from the neutral level (50) to highlight momentum extremes and potential reversal zones in a simplified and color-coded format.
It is specifically designed for traders who prefer to monitor RSI strength centered around neutrality (0 as midpoint) instead of absolute RSI values.
🧠 Concept
This tool subtracts 50 from the RSI of BINANCE:BTCUSDT, creating a deviation value:
java
복사
편집
RSI Deviation = RSI - 50
This approach allows traders to interpret bullish or bearish bias more intuitively:
RSI > 50 → positive deviation → bullish
RSI < 50 → negative deviation → bearish
The result is plotted as a zero-centered histogram, where color and shape dynamically indicate the strength of deviation.
🔍 Visual Components
Color-coded Histogram:
Gradient bar colors reflect the size and direction of deviation.
Strong bullish (+10 to +30): light to dark orange
Strong bearish (-10 to -30): light to dark blue
Extreme values (>|30|): highlighted in yellow
Reversal Zone Circles:
Green circles are plotted when RSI deviation exceeds +30
Red circles appear when deviation is below -30
Circles are rate-limited to avoid visual noise (one signal every 5+ bars)
Reference Lines:
0 line (neutral RSI 50)
±35 threshold lines for identifying abnormal momentum
🔧 Settings
RSI Length: Default 14 (can be adjusted based on your time frame or strategy)
✅ Use Cases
Momentum Strength Monitoring:
Identify when BTC is showing sustained buying/selling pressure above typical ranges.
Reversal Signal Layer:
Use the circle markers to flag possible overbought/oversold peaks in conjunction with other tools.
Trend Filtering:
Use deviation direction (+/-) as an additional filter for trend-based strategies.
🧩 Compatibility
Works on any time frame
Only uses BINANCE:BTCUSDT price
Lightweight and highly responsive
🔐 Originality & Value
Unlike traditional RSI plots, this indicator offers a centered and directional perspective on RSI momentum.
The design emphasizes trend pressure, not just overbought/oversold thresholds, making it highly compatible with scalping, swing, or trend-following strategies.
AI Quantum Dashboard Pro v5alertcondition(entrySignal, title="LONG Entry Alert", message="✅ LONG entry signal detected.")
alertcondition(macdTakeProfit, title="Take Profit A Alert", message="🔴 Take Profit A: MACD weakening 1D & 1W.")
alertcondition(emaTakeProfit, title="Take Profit B Alert", message="🟠 Take Profit B: Price near EMA 37 & MACD weakening.")
Indian Market Price LevelsScript to mark levels in Indian market to look for levels in market that including supports and resistance in the market
ETH 短线区间交易辅助//@version=5
indicator("BTC区间买卖交易信号 v1.0", overlay=true)
// === 参数设置 ===
length = input.int(20, title="区间周期")
emaFast = input.int(20, title="EMA快线周期")
emaSlow = input.int(60, title="EMA慢线周期")
// === 区间计算 ===
highLevel = ta.highest(high, length)
lowLevel = ta.lowest(low, length)
middle = (highLevel + lowLevel) / 2
// === EMA趋势判断 ===
emaFastValue = ta.ema(close, emaFast)
emaSlowValue = ta.ema(close, emaSlow)
upTrend = emaFastValue > emaSlowValue
downTrend = emaFastValue < emaSlowValue
// === 买卖信号 ===
longCond = close <= lowLevel and upTrend
shortCond = close >= highLevel and downTrend
// === 区间绘制 ===
plot(highLevel, color=color.red, title="上边界", linewidth=1)
plot(lowLevel, color=color.green, title="下边界", linewidth=1)
plot(middle, color=color.gray, title="中间线", linewidth=1, style=plot.style_dotted)
// === 信号提示 ===
plotshape(longCond ? low : na, title="做多信号", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(shortCond ? high : na, title="做空信号", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// === 警报 ===
alertcondition(longCond, title="做多信号提醒", message="BTC触发做多信号，注意入场")
alertcondition(shortCond, title="做空信号提醒", message="BTC触发做空信号，注意入场")
MA200 + Momentum Candle Strategy (No Duplicate Entry)This strategy is suitable for use on the 4H timeframe and above
3 KZ w/ DSTScript is based on the guide from www.tradingcode.net
I have added and aligned multiple User input, formating, timezones and DST options for Japan, Berlin, London and New York.
I have created it to make my back testing easier without needing to think about DST changes.
If anybody have an good idea on how to place session name and day above each session (like in "MKT Session"). Please let me know. Plan is to added it eventually.
Feel free to reuse and please give a heads-up if You add additional cool features.
Kind regards
Bjørn Voss
Trend Dashboard (Short / Medium / Long)🔍 Overview
This script:
Calculates the short, medium, and long-term trend based on moving average crossovers
Displays the current trend status in a color-coded table on your TradingView chart
Helps you visually identify market trend direction at a glance — great for quick decision making
🧱 1. Inputs Section
shortMA_len = input.int(9, title="Short-Term MA")
mediumMA_short = input.int(21, title="Medium-Term Fast MA")
mediumMA_long = input.int(50, title="Medium-Term Slow MA")
longMA_short = input.int(50, title="Long-Term Fast MA")
longMA_long = input.int(200, title="Long-Term Slow MA")
This part lets you customize the moving averages used to determine each trend type:
Short-term: 9 vs 21 SMA
Medium-term: 21 vs 50 SMA
Long-term: 50 vs 200 SMA
You can change these from the indicator settings on your chart.
📈 2. Calculating the Moving Averages
shortMA = ta.sma(close, shortMA_len)
mediumFast = ta.sma(close, mediumMA_short)
mediumSlow = ta.sma(close, mediumMA_long)
longFast = ta.sma(close, longMA_short)
longSlow = ta.sma(close, longMA_long)
This section calculates:
The short MA (e.g. 9-period)
The medium fast & slow MAs (21 & 50)
The long fast & slow MAs (50 & 200)
📊 3. Determining the Trend
shortTrend = shortMA > mediumFast ? "Bullish" : shortMA < mediumFast ? "Bearish" : "Neutral"
mediumTrend = mediumFast > mediumSlow ? "Bullish" : mediumFast < mediumSlow ? "Bearish" : "Neutral"
longTrend = longFast > longSlow ? "Bullish" : longFast < longSlow ? "Bearish" : "Neutral"
Here, each trend is determined by a simple moving average crossover:
If the fast MA is above the slow MA → Bullish
If below → Bearish
If equal → Neutral
🎨 4. Trend Color Helper Function
getColor(trend) =>
trend == "Bullish" ? color.lime : trend == "Bearish" ? color.red : color.gray
Returns a color based on the trend type:
Green for Bullish
Red for Bearish
Gray for Neutral
📋 5. Creating and Updating the Table
var table trendTable = table.new(position.top_right, 2, 4, border_width=1)
This creates a 2-column, 4-row table in the top-right of the chart.
pinescript
Copy
Edit
table.cell(...)
Updates the table every few bars:
Row 1: headers
Row 2: Short-term trend
Row 3: Medium-term trend
Row 4: Long-term trend
Each trend is colored based on its status.
📌 6. Optional: Plot the Moving Averages
plot(shortMA, ...)
plot(mediumFast, ...)
...
Just to give you a visual reference, it plots each moving average on the chart in a different color.
✅ Summary: What You Get
🧠 Short-Term Trend: (e.g., 9 vs 21 SMA)
📈 Medium-Term Trend: (e.g., 21 vs 50 SMA)
📉 Long-Term Trend: (e.g., 50 vs 200 SMA)
🎨 Color-coded dashboard for instant recognition
📊 Great for trend-following, filtering trades, and quick analysis
Fib 61.8 Break & RetestThis script simulates GER40 data, detects the 61.8% Fib break and retest, and alerts for a buy
German 40 Cash 3:00-3:15 EST BreakoutHow It Works:
It checks whether the current bar is the 3:00–3:15 AM EST bar.
It captures the high and low of that bar.
It plots those levels for the rest of the day.
It fires alerts when a candle closes above or below that breakout range.
📌 Note:
Your chart must be set to 15-minute interval.
Chart time zone should be set correctly or it will not capture the 3:00–3:15 EST bar accurately.
🐍 Mongoose Recession Radar Pro v1.6 — Dark Mode + Scorecards🐍 Mongoose Recession Radar Pro v1.6 — Scorecard Edition | Dark Mode
This tool visualizes recession risk conditions across five key macroeconomic indicators. Designed for dark theme users and optimized for visual clarity, it includes background shading and floating score labels.
📊 Key Features:
Composite Recession Score (0–5) based on macro signals
Floating Labels show score every 20 bars
Background shading when risk score ≥ 3
Alert condition for score threshold
Minimalist overlay style for dark charts
⚙️ Logic Overview (5 Macroeconomic Inputs):
XLY/XLP Ratio — Consumer Discretionary vs. Staples
KRE — Regional bank weakness (>20% off highs)
XRT — Retail sector relative drop
HYG — Below long-term moving average
10Y–2Y Yield Curve — Inversion duration > threshold
Each condition contributes 1 point. The alert triggers at a total score of 3 or more.
🔔 Alerts:
Use ⚠️ Recession Alert Triggered to monitor for macro regime changes.
🧠 Best Used On:
Daily or Weekly timeframes
Pair with SPX, BTC, or QQQ for broader context
This is a visual tool and does not provide financial advice. Always combine macro signals with broader technical and fundamental analysis.
🧭 How to Use the Legend Panel
This floating panel summarizes key macro data points used in the Recession Radar scoring system. It gives you a real-time pulse on risk sentiment without needing to analyze the raw chart.
🔍 Breakdown of Each Line:
Label Color Meaning
🟪 XLY/XLP Purple Consumer confidence ratio — risk-on vs. defensives
🔴 KRE Red Regional bank index — credit stress monitor
🟨 XRT Yellow Retail sector strength — consumer discretionary
🔵 IYT Blue Transportation sector — demand signal
🟠 HYG Orange High-yield credit ETF — junk bond risk appetite
🔻 10Y–2Y Spread Green/Red Yield curve slope — macro stress if < 0
🟢 What to Watch For:
XLY/XLP < 1 → Consumer pulling back = Bearish
KRE or XRT significantly below peak → Liquidity stress
HYG drops below 200 MA → Credit market cooling
10Y–2Y turns negative → Yield curve inversion (classic signal)
Each of these is a component of the recession score, helping you understand why the score is rising — not just that it is.
🧠 Pro Tip:
Use the legend like a macro cockpit:
All green/neutral? → All clear ✈️
Multiple red flags? → Shift to defensive sectors or consider hedging 🛡️
Sharp shifts week-over-week? → Big macro repositioning likely in play
Key — Indicator by TPCommunityDe PO3 Levels Indicator is ontworpen om traders te helpen de markt te begrijpen zoals de algoritmes dat doen — gestructureerd, wiskundig en doelgericht. Deze indicator is gebaseerd op de Power of Three (PO3)-strategie, waarbij de markt in drie fundamentele fasen wordt verdeeld: Accumulation, Manipulation en Distribution.
⚙️ Wat doet de indicator?
De indicator:
Detecteert automatisch een dealing range op basis van prijsactie en tijd.
Berekent en tekent PO3-levels op basis van wiskundige verdelingen binnen deze range.
Markeert belangrijke zones zoals:
Accumulation zone (waar smart money posities opbouwt),
Manipulation zone (waar stop hunts plaatsvinden),
Distribution target zone (waar prijs naartoe wordt gestuurd).
Integreert premium & discount levels via Goldbach-achtige partities.
Optioneel: toont relevante Fair Value Gaps, Reversal Blocks of Liquidity Voids ter ondersteuning van entries.
🧠 Waarom deze indicator?
Veel traders kijken naar oppervlakkige patronen, maar missen de onderliggende intentie van de markt. Deze tool helpt je om:
Liquiditeitsstructuren te begrijpen,
Niet te traden op emoties of candlestick patronen,
En te anticiperen op prijsbewegingen — niet te reageren.
Met deze indicator leer je denken als een algoritme en navigeren als smart money. Ideaal voor traders die zich verdiepen in ICT-principes, Smart Money Concepts en data-driven strategieën.
📈 Gebruiksscenario’s
Intraday en swing trading op indexen (zoals Nasdaq, S&P 500), maar ook toepasbaar op Forex en Crypto.
Backtesten van PO3 setups.
Visuele ondersteuning voor coaching en lesgeven.
Key — Indicator by TPCommunityDe PO3 Levels Indicator is ontworpen om traders te helpen de markt te begrijpen zoals de algoritmes dat doen — gestructureerd, wiskundig en doelgericht. Deze indicator is gebaseerd op de Power of Three (PO3)-strategie, waarbij de markt in drie fundamentele fasen wordt verdeeld: Accumulation, Manipulation en Distribution.
⚙️ Wat doet de indicator?
De indicator:
Detecteert automatisch een dealing range op basis van prijsactie en tijd.
Berekent en tekent PO3-levels op basis van wiskundige verdelingen binnen deze range.
Markeert belangrijke zones zoals:
Accumulation zone (waar smart money posities opbouwt),
Manipulation zone (waar stop hunts plaatsvinden),
Distribution target zone (waar prijs naartoe wordt gestuurd).
Integreert premium & discount levels via Goldbach-achtige partities.
Optioneel: toont relevante Fair Value Gaps, Reversal Blocks of Liquidity Voids ter ondersteuning van entries.
🧠 Waarom deze indicator?
Veel traders kijken naar oppervlakkige patronen, maar missen de onderliggende intentie van de markt. Deze tool helpt je om:
Liquiditeitsstructuren te begrijpen,
Niet te traden op emoties of candlestick patronen,
En te anticiperen op prijsbewegingen — niet te reageren.
Met deze indicator leer je denken als een algoritme en navigeren als smart money. Ideaal voor traders die zich verdiepen in ICT-principes, Smart Money Concepts en data-driven strategieën.
📈 Gebruiksscenario’s
Intraday en swing trading op indexen (zoals Nasdaq, S&P 500), maar ook toepasbaar op Forex en Crypto.
Backtesten van PO3 setups.
Visuele ondersteuning voor coaching en lesgeven.
Directional Deviation Index (DDI)Directional Deviation Index (DDI) is a streamlined, adaptive indicator for analyzing market cycles, detecting trend direction, and gauging momentum. By measuring how far price deviates from a smoothed average, the DDI adapts dynamically to both bullish and bearish conditions.
Key Features:
Unified Smoothing: Choose SMA or EMA for consistent, predictable signals.
Log Scale: Focus on percentage-based moves—ideal for volatile or higher-priced assets.
Adaptive Trend Levels: Auto-adjust uptrend/downtrend thresholds based on market volatility.
Momentum Visualization: Transparent color fills (green for uptrends, red for downtrends) that intensify with stronger deviations.
Customizable Sensitivity: Fine-tune uptrend and downtrend settings to suit any trading style.
Simple Alerts & Status Line: Get notified on key crossovers and track real-time price without chart clutter.
Comparison to Similar Indicators:
Bollinger Bands: Both use deviations from a moving average, but the DDI emphasizes directional momentum and adaptive threshold levels rather than fixed bands.
RSI/Stochastics: While these oscillators focus on overbought or oversold conditions, the DDI tracks how far price strays from its average, giving a clearer picture of trend strength.
MACD: MACD is built on EMA crossovers, whereas the DDI highlights deviations from a mean and adapts more directly to volatility changes.
Use the DDI to identify trend strength, spot potential reversals, and monitor evolving market conditions across stocks, crypto, forex, and beyond. It’s a versatile yet concise tool for traders seeking faster, more confident decisions.
