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.
دورات
Cycle Volume, POC & Trend Precision ToolThis TradingView indicator is designed to provide a comprehensive technical analysis toolkit by combining cycle detection, volume confirmation, price trend filtering, and visual trade signals. It helps traders identify potential entry and exit points for both long and short positions based on RSI momentum, volume strength, and trend direction.
Components and Logic
1. RSI-Based Cycle Detection
Uses RSI to determine potential cycle shifts:
A long signal is triggered when RSI crosses above 30 (oversold recovery).
A short signal is triggered when RSI crosses below 70 (overbought reversal).
These events are highlighted with background colors on the chart (green for long, red for short).
2. Volume Strength Confirmation
Compares current volume against a Volume Moving Average (SMA).
When volume is higher than the average, it's considered strong.
Strong volume is required to validate both long and short trade signals.
3. Trend EMA Filter
A custom Exponential Moving Average (EMA) acts as a trend filter.
For long signals, price must be above the EMA.
For short signals, price must be below the EMA.
The EMA line is plotted on the chart for reference.
4. Point of Control (POC)
Calculates a simplified POC: the price level with the highest volume over a user-defined lookback period.
Useful for identifying key support/resistance zones based on volume clusters.
The POC line is plotted in orange.
5. Support & Resistance Zones
Displays dynamic support and resistance levels based on recent highs and lows over a defined period.
Helps contextualize price action within larger structure zones.
6. Entry & Exit Labels
The indicator includes visual labels for when to open or close trades:
"LONG OPEN" / "LONG CLOSE" for bullish setups.
"SHORT OPEN" / "SHORT CLOSE" for bearish setups.
These labels appear only when all trade conditions are met, helping to reduce false signals and improve decision-making.
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.
Indian Market Price LevelsScript to mark levels in Indian market to look for levels in market that including supports and resistance in the market
Fib 61.8 Break & RetestThis script simulates GER40 data, detects the 61.8% Fib break and retest, and alerts for a buy
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
Triple StochasticTriple Stochastic Elasticity Indicator
This custom indicator leverages the power of multi-timeframe analysis by combining three Stochastic Oscillators across different timeframes to identify potential trade entries based on elasticity and divergence between momentum curves.
📊 How It Works:
The indicator plots Stochastic values from three timeframes (e.g., 5m, 15m, and 1h), allowing you to observe how momentum behaves at different scales.
It highlights moments of elasticity—where the Stochastics stretch apart and then begin to converge—potentially signaling a reversion opportunity or trend continuation.
By identifying these stretches and snapbacks in momentum alignment, you can better time your entries and exits with improved confidence.
🔍 Use Case:
Look for divergence or convergence between the Stochastics.
Ideal for trend-following entries, pullback setups, and momentum reversal spotting.
Works best when combined with price action, S/R zones, or volume confirmation.
🛠 Customization:
Timeframes for each Stochastic are fully customizable.
Options to tweak %K, %D, and smoothing values to fit your strategy.
I recommend to remove the D%
And set the following settings
5 : 3 : 3
14 : 3 : 3
56 : 12 :12
Visual alerts can be added for when certain conditions are met (e.g., all three Stochs cross overbought/oversold levels).
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.
🐍 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
Opening Price Levels (by Period)This indicator draws clean horizontal lines at the opening prices of key time periods: Year, Quarter, Month, Week, and Day.
Each line is plotted only within its own time range, so there's no visual clutter or vertical jumps between periods.
Perfect for traders who want to:
Identify and react to institutional levels.
Track price behavior relative to major opens.
Keep charts clean and easy to read.
Features:
✅ Toggle visibility for each period (Year, Quarter, Month, Week, Day).
🎯 Accurate open levels, aligned with your chart's timeframe and session settings.
✨ Clean segments — each line only spans its original period.
Price Volume Trend to buyTPV to signal buy or sell with color change for easy to take actions. Based on TPV analysis
[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
Global Liquidity IndexGlobal Liquidity Index
This indicator tracks worldwide liquidity by aggregating global M2 money supply, the U.S. Treasury General Account (TGA), the Federal Reserve’s Reverse Repo (RRP) facility, and major central bank balance sheets. It offers insight into the overall liquidity environment, often a key driver of risk asset performance.
pivot-PDH,PDL-15 min high and Low1️⃣ Previous Day High, Low & Pivot
📌 When: At market close (3:30 PM IST)
🎯 Then:
Capture high, low, and close from 9:15 AM to 3:30 PM
Calculate pivot point (standard)
Draw those levels for the next full day, starting before 9:15 AM
2️⃣ First 15-Min Candle High/Low (Current Day)
📌 When: After 9:30 AM IST (first 15-min candle close)
🎯 Then:
Plot the high and low of 9:15–9:30 candle
Keep it visible for the rest of the day
Mebob High-Low Lines (30 Days)Here is the introduction to the rules:
1. You trade it on the SP500 Index.
2. You use a 5-min chart.
3. You only use it during Regular trading hours only (09:30am – 15:00pm
Eastern Standard time).
A more detailed explanation follows below:
1. The US stock market indices opens at 09:30am New York local time.
2. The 5-min reference bar to wait for is the 10:05am – 10:10am bar.
3. This is the 8th 5min bar into the regular trading session.
4. Observe the high and the low of the reference bar.
5. Draw a horizontal line through the high of the reference bar.
6. Draw a horizontal line through the low of the reference bar.
7. If the SP500 closes above the high of the reference bar “highest line”, it is a
BUY signal.
8. If the SP500 closes below the low of the reference bar “lowest line”, it is a SELL
SHORT signal.
9. The stop loss is placed either at the most recent swing or above/below the
reference bar.
The seemingly erratic performance of the "MeBob" (trading rule) is simply what one
would expect from a trend following system. Bob, who has a lot of good stuff, was
simply giving the newbies a "Trigger" to get them into day trades at good times.
Premarket and afterhours high/low This indicator labels the high and low of the after hours and premarket session,
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.
[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.
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.
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
ÆtherÆther Indicator
Æther is an advanced automatic trading tool built on the Opening Range Breakout (ORB) strategy. It visually delineates a dynamic trading range at the session’s start by drawing a continuously updated rectangle that adjusts to market movements. The indicator comes with built-in presets for popular symbols like BTC1! (8:30–15:00) and BTCUSDT.P (13:30–20:00), while also offering full flexibility with custom session inputs for assets such as TSLA.
Once the ORB is established during the first 15 minutes of the session, Æther monitors for breakouts beyond these levels. Traders have the option to require a confirmation candle—where the following bar must also close outside the ORB—to reduce false signals. Additionally, a directional filter can be activated to ensure that if the session’s first candle is bullish, only long trades are taken (and vice versa for bearish candles).
Risk management is seamlessly integrated. Users can activate a fixed take profit level (default 1% gain) and optionally apply a stop loss at the opposite boundary of the ORB. Moreover, the indicator automatically exits any open positions at the close of the defined trading session, helping prevent exposure during off-hours.
Ideal for intraday traders, Æther delivers a robust, customizable solution that standardizes entry and exit criteria using objective price levels and pre-defined market conditions while still providing the flexibility to adapt to various markets.
Benner Cycle + Auto Weekly FibonacciBenner Cycle Wave
A sinusoidal wave modeled after the historic Benner Cycle theory, which suggests regular economic and market turning points.
- Auto-adjusts based on chart time
- Displays BUY/SELL signal markers at cycle peaks and troughs
Fibonacci Retracement Levels
Automatically draws key Fibonacci levels (0% to 100%) using the daily high and low, helping you spot potential reversal or continuation zones.
- Fully dynamic: updates at the start of each week
- Great for intraday and swing traders looking to time pullbacks or breakouts
Why use both?
The Benner wave highlights when markets may shift. The Fibonacci levels show where price could react. Together, they give you time + price confluence — a powerful edge in trade planning.
