VWAP SlicesVWAP Slices is a time-based analytical tool that helps traders evaluate market behavior across custom-defined periods. Instead of looking at VWAP, RSI, or MFI in isolation, this script allows users to select up to three specific time windows — for example, earnings weeks, Fed meetings, or major news cycles — and analyze how price interacted with volume, momentum, and money flow within each of those slices.
For each active period, the script calculates:
VWAP, based on HLC3 × Volume, giving a volume-weighted price anchor
Total traded volume
Number of bars (candles) in the period
RSI, computed using a custom-built relative strength algorithm from closing prices
MFI, calculated from HLC3 and volume to assess money flow direction and strength
These statistics are not simply shown independently — they are designed to be viewed in context with each other. For instance:
VWAP levels help identify fair value and possible accumulation/distribution zones within a time range.
RSI shows internal momentum strength, while MFI adds a volume-sensitive confirmation.
Comparing multiple periods side-by-side allows traders to see shifts in trend behavior and volume dynamics over time.
The script offers two visualization styles:
Labels placed on-chart near price, summarizing each period
A combined table showing all periods together for comparative analysis
Users can define:
Start and end dates of each period
Background color and visibility per period
Whether to display labels, a summary table, or both
It also computes aggregate metrics, including:
A volume-weighted combined VWAP across all selected periods
Average RSI and MFI, giving a broader sense of directional bias and money flow health
This tool is especially useful for:
Assessing how price and volume behaved around specific market events
Comparing accumulation vs distribution across different timeframes
Supporting thesis-driven trading by segmenting history into actionable chunks
This is not a mashup, but a purposeful framework for slicing market history into analytical blocks — combining price anchors with volume and momentum indicators to help traders better interpret price structure and trend context.
"Cycle" için komut dosyalarını ara
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.
Sun Moon Conjunctions Trine Oppositions 2025this script is an astrological tool designed to overlay significant Sun-Moon aspect events for 2025 on a Bitcoin chart. It highlights key lunar phases and aspects—Conjunctions (New Moon) in blue, Squares in red, Oppositions (Full Moon) in purple, and Trines in green—using background colors and labeled markers. Users can toggle visibility for each aspect type and adjust label sizes via customizable inputs. The script accurately marks events from January through December 2025, with labels appearing once per event, making it a valuable resource for exploring potential correlations between lunar cycles and Bitcoin price movements.
Global Liquidity ShiftedOverview
This indicator tracks global liquidity by aggregating M2 money supply data from major economies around the world, denominated in US dollars. It allows users to shift the data forward or backward in time to analyze correlations with other assets, particularly Bitcoin.
Features
Comprehensive global liquidity measurement combining M2 data from 21 major economies
Adjustable time shift parameter (0-24 months) to align liquidity data with price movements
Clean visualization with customizable labels
Background
Based on research by Lyn Alden and Sam Callahan (September 2024), which found that Bitcoin moves in the direction of global liquidity 83% of the time in any given 12-month period - a higher correlation than any other major asset class. This makes Bitcoin an excellent "global liquidity barometer."
How to Use
Add the indicator to your chart
Adjust the "Forward Shift (Months)" parameter to align global liquidity with asset price movements
Compare the shifted liquidity line with Bitcoin or other asset prices to identify correlations and potential divergences
Included Economies
This indicator aggregates M2 data from:
North America: US, Canada
Eurozone
Non-EU Europe: Switzerland, UK, Finland, Russia
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: UAE, Turkey
Africa: South Africa
Pacific: New Zealand
## Interpretation
Rising global liquidity typically supports risk assets, particularly Bitcoin. When liquidity contracts, risk assets often face headwinds. By shifting the liquidity data, you can identify lead/lag relationships between liquidity conditions and asset prices.
Notes
All M2 data is converted to USD to account for both money supply changes and relative currency strength
The indicator serves as a macro framework for understanding liquidity-driven market cycles
References
Based on research published at: www.lynalden.com
Planetary Retrograde DashboardThe Retrograde Dashboard offers a quick overview of all planets and their historical and current retrograde statuses across various time frames.
How This Indicator Works
Custom Overlay: The indicator displays its own overlay, plotting the periods of planetary retrograde. This enables users to visually track all planetary retrogrades over time, both historically and in real-time.
When a planet is in retrograde, its symbol will show the ℞ retrograde symbol next to it.
When a planet is in direct motion, only the planetary symbol is visible.
The indicator adapts to different timeframes, allowing you to analyze whether a planet was in retrograde at any specific moment.
What is Retrograde Motion?
In astrology and astro-finance, retrograde motion occurs when a planet seems to move backward in the sky from Earth's perspective. Although this is an optical illusion due to differences in orbital speeds, many traders and analysts believe that planetary retrogrades can influence market behavior. Retrogrades are often linked with reassessment, reversals, and shifts in momentum, making them valuable for both historical and predictive market analysis.
Research & Discovery – Compare planetary retrograde cycles with historical market behavior to identify potential correlations.
Created using Astrolib by @BarefootJoey
[COG] Adaptive Squeeze Intensity 📊 Adaptive Squeeze Intensity (ASI) Indicator
🎯 Overview
The Adaptive Squeeze Intensity (ASI) indicator is an advanced technical analysis tool that combines the power of volatility compression analysis with momentum, volume, and trend confirmation to identify high-probability trading opportunities. It quantifies the degree of price compression using a sophisticated scoring system and provides clear entry signals for both long and short positions.
⭐ Key Features
- 📈 Comprehensive squeeze intensity scoring system (0-100)
- 📏 Multiple Keltner Channel compression zones
- 📊 Volume analysis integration
- 🎯 EMA-based trend confirmation
- 🎨 Proximity-based entry validation
- 📱 Visual status monitoring
- 🎨 Customizable color schemes
- ⚡ Clear entry signals with directional indicators
🔧 Components
1. 📐 Squeeze Intensity Score (0-100)
The indicator calculates a total squeeze intensity score based on four components:
- 📊 Band Convergence (0-40 points): Measures the relationship between Bollinger Bands and Keltner Channels
- 📍 Price Position (0-20 points): Evaluates price location relative to the base channels
- 📈 Volume Intensity (0-20 points): Analyzes volume patterns and thresholds
- ⚡ Momentum (0-20 points): Assesses price momentum and direction
2. 🎨 Compression Zones
Visual representation of squeeze intensity levels:
- 🔴 Extreme Squeeze (80-100): Red zone
- 🟠 Strong Squeeze (60-80): Orange zone
- 🟡 Moderate Squeeze (40-60): Yellow zone
- 🟢 Light Squeeze (20-40): Green zone
- ⚪ No Squeeze (0-20): Base zone
3. 🎯 Entry Signals
The indicator generates entry signals based on:
- ✨ Squeeze release confirmation
- ➡️ Momentum direction
- 📊 Candlestick pattern confirmation
- 📈 Optional EMA trend alignment
- 🎯 Customizable EMA proximity validation
⚙️ Settings
🔧 Main Settings
- Base Length: Determines the calculation period for main indicators
- BB Multiplier: Sets the Bollinger Bands deviation multiplier
- Keltner Channel Multipliers: Three separate multipliers for different compression zones
📈 Trend Confirmation
- Four customizable EMA periods (default: 21, 34, 55, 89)
- Optional trend requirement for entry signals
- Adjustable EMA proximity threshold
📊 Volume Analysis
- Customizable volume MA length
- Adjustable volume threshold for signal confirmation
- Option to enable/disable volume analysis
🎨 Visualization
- Customizable bullish/bearish colors
- Optional intensity zones display
- Status monitor with real-time score and state information
- Clear entry arrows and background highlights
💻 Technical Code Breakdown
1. Core Calculations
// Base calculations for EMAs
ema_1 = ta.ema(close, ema_length_1)
ema_2 = ta.ema(close, ema_length_2)
ema_3 = ta.ema(close, ema_length_3)
ema_4 = ta.ema(close, ema_length_4)
// Proximity calculation for entry validation
ema_prox_raw = math.abs(close - ema_1) / ema_1 * 100
is_close_to_ema_long = close > ema_1 and ema_prox_raw <= prox_percent
```
### 2. Squeeze Detection System
```pine
// Bollinger Bands setup
BB_basis = ta.sma(close, length)
BB_dev = ta.stdev(close, length)
BB_upper = BB_basis + BB_mult * BB_dev
BB_lower = BB_basis - BB_mult * BB_dev
// Keltner Channels setup
KC_basis = ta.sma(close, length)
KC_range = ta.sma(ta.tr, length)
KC_upper_high = KC_basis + KC_range * KC_mult_high
KC_lower_high = KC_basis - KC_range * KC_mult_high
```
### 3. Scoring System Implementation
```pine
// Band Convergence Score
band_ratio = BB_width / KC_width
convergence_score = math.max(0, 40 * (1 - band_ratio))
// Price Position Score
price_range = math.abs(close - KC_basis) / (KC_upper_low - KC_lower_low)
position_score = 20 * (1 - price_range)
// Final Score Calculation
squeeze_score = convergence_score + position_score + vol_score + mom_score
```
### 4. Signal Generation
```pine
// Entry Signal Logic
long_signal = squeeze_release and
is_momentum_positive and
(not use_ema_trend or (bullish_trend and is_close_to_ema_long)) and
is_bullish_candle
short_signal = squeeze_release and
is_momentum_negative and
(not use_ema_trend or (bearish_trend and is_close_to_ema_short)) and
is_bearish_candle
```
📈 Trading Signals
🚀 Long Entry Conditions
- Squeeze release detected
- Positive momentum
- Bullish candlestick
- Price above relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
🔻 Short Entry Conditions
- Squeeze release detected
- Negative momentum
- Bearish candlestick
- Price below relevant EMAs (if enabled)
- Within EMA proximity threshold (if enabled)
- Sufficient volume confirmation (if enabled)
⚠️ Alert Conditions
- 🔔 Extreme squeeze level reached (score crosses above 80)
- 🚀 Long squeeze release signal
- 🔻 Short squeeze release signal
💡 Tips for Usage
1. 📱 Use the status monitor to track real-time squeeze intensity and state
2. 🎨 Pay attention to the color gradient for trend direction and strength
3. ⏰ Consider using multiple timeframes for confirmation
4. ⚙️ Adjust EMA and proximity settings based on your trading style
5. 📊 Use volume analysis for additional confirmation in liquid markets
📝 Notes
- 🔧 The indicator combines multiple technical analysis concepts for robust signal generation
- 📈 Suitable for all tradable markets and timeframes
- ⭐ Best results typically achieved in trending markets with clear volatility cycles
- 🎯 Consider using in conjunction with other technical analysis tools for confirmation
⚠️ Disclaimer
This technical indicator is designed to assist in analysis but should not be considered as financial advice. Always perform your own analysis and risk management when trading.
INTELLECT_city - US Presidential Elections Dates (USA)(EN)
It is interesting to compare Halvings Cycles and Presidential elections.
This indicator shows all presidential elections in the USA from the period 2008, and future ones to the date 2044. The indicator will automatically show all future dates of presidential elections.
--
To apply it to your chart it is very easy:
Select:
1) Exchange: BITSTAMP
2) Pair BTC \ USD (Without "T" at the end)
3) Timeframe 1 day
4) In the Browser, switch the chart to Logarithmic (on the right bottom, click the "L" button)
or on mobile, switch to "Logarithmic" we look on the chart: "Gear" - and switch to "Logarithmic"
------------------
(RU)
Интересно сопоставить Циклы Halvings и Президентские выборы.
Данный индикатор показывает все президентские выборы в США с периода 2008 года, и будущие к дате 2044 года. Индикатор будет автоматически показывать все будущие даты .
--
Что бы применить у себя на графике это очень легко:
Выберите:
1) Биржа: BITSTAMP
2) Пара BTC \ USD (Без "T" в конце)
3) Timeframe 1 дневной
4) В Браузере переключить график на Логарифмический (с право внизу кнопка "Л")
или на мобильно переключить на "Логарифмический" ищем на графике: "Шестеренку" — и переключаем на "Логарифмический"
-------------------
(DE)
Es ist interessant, die Halbierungszyklen und die Präsidentschaftswahlen zu vergleichen.
Dieser Indikator zeigt alle US-Präsidentschaftswahlen seit 2008 und zukünftige bis zum Datum 2044. Der Indikator zeigt automatisch alle zukünftigen Präsidentschaftswahltermine an.
--
Es ist sehr einfach, dies auf Ihr Diagramm anzuwenden:
Wählen:
1) Austausch: BITSTAMP
2) Paar BTC \ USD (Ohne das „T“ am Ende)
3) Zeitrahmen 1 Tag
4) Schalten Sie im Browser das Diagramm auf Logarithmisch um (die Schaltfläche „L“ unten rechts).
oder auf dem Mobilgerät auf „Logarithmisch“ umschalten, in der Grafik nach „Getriebe“ suchen – und auf „Logarithmisch“ umschalten
Daily Structure Cycles - Session - PDH/PDLDescription:
The Session Windows indicator visualizes predefined trading sessions on the chart, highlighting key price ranges with customizable background colors and labels. Designed to track session-specific high and low levels, this tool provides visual guidance for analyzing market behavior across different trading windows. It includes three customizable sessions—Asian, Window 1, and Window 2—that can be toggled on or off.
How It Works:
Each session is marked with a colored box, representing the high and low range for that session. Border colors and box transparency can be customized, allowing for easy visual differentiation.
The indicator also displays the high and low levels of the previous day, marked as PDH (Previous Day High) and PDL (Previous Day Low). When the current price crosses these levels, the line style changes, signaling potential support or resistance levels.
Labels for each session high and low are positioned based on the user-defined offset and alignment options, providing easy-to-read markers at the end of each session.
Usage: This indicator helps traders observe price behavior within distinct trading sessions and how the current price interacts with previous day’s highs and lows, which may offer insight into support/resistance zones. Traders can use this tool to spot breakout or reversal points as price moves through session highs/lows or crosses the previous day’s levels.
Customization Options:
Session Settings: Choose session times for Asian, Window 1, and Window 2.
Color Settings: Set different colors for session background and border lines.
Label Positioning: Adjust label offset and vertical position for high/low markers.
PDH/PDL Levels: Toggle lines for previous day’s high and low, with color and line style options.
Limitations: This indicator is designed for visualization purposes and is best used alongside other tools for confirmation, as it does not provide standalone buy or sell signals.
Vlad Waves█ CONCEPT
Acceleration Line (Blue)
The Acceleration Line is calculated as the difference between the 8-period SMA and the 20-period SMA.
This line helps to identify the momentum and potential turning points in the market.
Signal Line (Red)
The Signal Line is an 8-period SMA of the Acceleration Line.
This line smooths out the Acceleration Line to generate clearer signals.
Long-Term Average (Green)
The Long-Term Average is a 200-period SMA of the Acceleration Line.
This line provides a broader context of the market trend, helping to distinguish between long-term and short-term movements.
█ SIGNALS
Buy Mode
A buy signal occurs when the Acceleration Line crosses above the Signal Line while below the Long-Term Average. This indicates a potential bullish reversal in the market.
When the Signal Line crosses the Acceleration Line above the Long-Term Average, consider placing a stop rather than reversing the position to protect gains from potential pullbacks.
Sell Mode
A sell signal occurs when the Acceleration Line crosses below the Signal Line while above the Long-Term Average. This indicates a potential bearish reversal in the market.
When the Signal Line crosses the Acceleration Line below the Long-Term Average, consider placing a stop rather than reversing the position to protect gains from potential pullbacks.
█ UTILITY
This indicator is not recommended for standalone buy or sell signals. Instead, it is designed to identify market cycles and turning points, aiding in the decision-making process.
Entry signals are most effective when they occur away from the Long-Term Average, as this helps to avoid sideways movements.
Use larger timeframes, such as daily or weekly charts, for better accuracy and reliability of the signals.
█ CREDITS
The idea for this indicator came from Fabio Figueiredo (Vlad).
Bitcoin Puell Multiple (BPM)The Bitcoin Puell Multiple is a key indicator for evaluating buying and selling opportunities based on the profitability of Bitcoin miners.
The Idea
The Bitcoin Puell Multiple is a ratio that measures the daily profitability of Bitcoin miners in relation to the historical annual average of this profitability. It is calculated by dividing the amount of newly issued Bitcoins (in USD) each day by the 365-day moving average of that same amount. This indicator provides valuable information on Bitcoin's market cycles, helping investors to identify periods when Bitcoin is potentially undervalued or overvalued.
How to Use
To use the Bitcoin Puell Multiple, investors watch for extreme levels of the indicator. A high Puell Multiple suggests that miners are making exceptionally high profits compared to the previous year, which could indicate an overvaluation of Bitcoin and a selling opportunity (red zones). Conversely, a low Puell Multiple indicates that miners' earnings are low relative to history, suggesting an undervaluation of Bitcoin and a potential buying opportunity (green zones). The trigger thresholds for these zones can be configured in the tool's parameters.
What makes this tool different from the other "Puell Multiple" scripts available is that it is up to date in terms of its data sources, with a more precise calculation, and allows you to view the entire history.
Zone trigger limits and their visualization, as well as colors, are all configurable via the tool parameters.
Here, for example, is a configuration with more sensitive trigger levels and a different color:
BTC Halving [YinYangAlgorithms]This Indicator not only estimates what it thinks may be the PRICE for the Start, High and Low of the Halving, but likewise estimates WHEN the Start, High and Low of Halving may be. It then creates Trend Lines based on these predictions so that you may get an evaluation towards if the Price is currently Overbought or Oversold. These Trend Lines may be very useful for seeing the Slope in which the Price may move if it is to reach the estimated Price by the estimated Date. By evaluating the Prices location based on these Trend Lines we may determine if the Price is currently Overbought or Oversold.
These Trend Lines likewise may help identify locations of Support and Resistance. If the Price is much higher than its current Trend Line it is Overbought. There is a chance it will Consolidate back to the Trend Line or it may even correct with a dump all the way back to it; the opposite is true if it is much lower than its current Trend Line.
Trend Lines and Estimates are not all that is featured within this Indicator however. There are also Price Zones which may help identify if the price is currently:
Very Overbought (Red)
Slightly Overbought (Orange)
Neutral (Yellow)
Slightly Oversold (Teal)
Very Oversold (Green)
These zones may help give you an idea of how the price is currently fairing and its potential for movement. Likewise, it may help define where Support and Resistance may be found.
The trend line estimates are done with an algorithm created to evaluate the difference between price and % change that has occurred between the Start, High and Low of all the halvings over how many days between each data type. This may allow us to make an educated estimate towards what Price and Date the Start, High and Low will occur at.
Our Zones are created by evaluating the current Market Cap and circulating supply vs Max Supply of BTC. This may help give us an evaluation of what Price may be considered to be Overbought and Oversold; and likewise may help with estimations of where there may be Support and Resistance based on these Zones.
Tutorial:
In the example above we’re displaying the Halving Start Trend Line, our Information Tables and our Estimated Halving Vertical Marker. This Trend Line may help to display not only the trajectory and slope the Price needs to take to reach the Estimated Halving Price by the Estimated Halving Date; but it may also help to show if the price is Overvalued or Undervalued based on its position above or below this Trend Line.
Based on the Trajectory of the Estimated High Upward Trend Line (Green Line) in the photo above and from the ‘High Date’ estimated in the Information tables; we may attempt to estimate the location the ATH of this Bull Market will create and the price slope it may follow in doing so. This Trajectory may be very useful for understanding the price action that may occur for it to reach the High estimated Price by the High estimated Date.
We currently allow for two different types of zones within our Settings, one called ‘Fast’ displayed in the example above; and the other called ‘Slow’ displayed in the example below.
Our Fast Zone aims to move the Zone Levels Faster in an attempt to move with volatility and parabolic movement. This may help to keep the Very Overbought (Red) and Very OverSold (Green) Levels more accurate by attempting to keep the price within them. By doing so, we may aim to keep all of the Slightly Overbought, Slightly Oversold and Neutral Levels more accurate as well.
The Levels within these zones are defined by the Bright (less transparent) Lines. Whereas the Darker (more transparent) lines represent the Basis Lines between two different levels. These Basis lines may likewise act as a Support and Resistance Location too, but generally hold less weight than the actual Levels themselves.
What you may see is that during the Bull Market, the price is within the very Overbought Zones and even touches again the Very Overbought Level a few times. Likewise, during the Bear Market, the price is within the very Oversold Zones and even slightly drops below the Very Oversold Level. This may be expected and likewise may help to give estimates at potential for growth and decay within the Price based on which condition the Market is within.
Slow Zones move a little slower than Fast Zones, however they may still be accurate. Likewise, it is up to you to decide which Zone works better for your specific Trading Style; however, by default, the Zone type is set to Fast.
If you refer to both the Fast and Slow examples above, you may notice in the Fast the Price is only slightly above the ‘Slightly Oversold’ (Teal) line. Also, In the Fast, the Price where the ‘Very Overbought’ Level is 100k. This is one of the many reasons we’ve opted for ‘Fast’ as the default, and it is because it allows more room for movement; and in our opinion, potentially accuracy as well.
If you refer to the Slow example, you’ll see that the price is currently facing the Neutral Level as a Resistance location. However, if you refer to the price residing at the Slows ‘Very Overbought’ Level, it is only 81.5k, compared to the 100k of Fast.
The BTC Halving is a major event that takes place roughly every 4 years. It historically has a major impact on the market, and some may even say it signifies the Start, or close to start of the Bull Market. Therefore, since historically there may be cycles that BTC and potentially crypto itself follows, we’ve developed this Indicator in hopes that it may solve one of the biggest questions traders face. What Date will the Start, High and Low of the Halving occur and also at what Price.
Hopefully this Tutorial has given you some guidance as to how this Indicator may be used to help identify some of these key levels; including the slope at which the price may have to move if it is to reach its projection Price by its projected Date.
Settings:
1. Show Prediction Trend Lines:
- Options:
All
Start + High
Start + Low
High + Low
Start
High
Low
None
- Description:
Prediction Trend Lines may be an important way to see the Slope the Price needs to take to reach the Predicted Price by the Predicted Date. This may be useful for identifying if the Price is currently Overbought or Oversold.
2. Zone Type:
- Options:
Fast
Slow
- Description:
Zone types change the way the Zones expand.
3. Show Zones:
- Options:
All
Zones
Basis
None
- Description:
Zones are a way of seeing Overbought and Oversold Price locations based on Market Cap and Circulating Supply vs Max Supply.
4. Vertical Markers:
- Options:
All
Line
Label
None
- Description:
Vertical Markers display where the Halving has occurred with a Vertical Line and Label.
5. Show Tables:
Tables may be useful for seeing the Price and Date for when the Start, High and Low of the Halving may occur.
6. Fill Zones:
Filling in Zones may help to identify which Zone the Price is currently in.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
3x MTF MACD v3.0MACD's on 3 different Time Frames
Indicator Information
- Each Time Frame shows start of Trend and end of trend of the MACD vs the Signal Cross
- They are labled 1,2,3 with respective up or down triangle for possible direction.
User Inputs
- configure the indicator by specifying various inputs. These inputs include colors for bullish
and bearish conditions, the time frame to use, whether to show a Simple Moving Average
(SMA) line, and other parameters.
- Users can choose time frames for analysis (like 30 minutes, 1 hour, etc.)
but they must be in mintues.
- The code also allows users to customize how the indicator looks on the chart by providing
options for position and color.
Main Calculations
- The script calculates the Simple Moving Average (SMA) based on the user-defined time
frame.
- It then determines the color of the plot (line) based on certain conditions, such as whether
the SMA is rising or falling. These conditions help users quickly identify market trends.
Label Creation
- The code creates labels that can be displayed on the chart.
These labels indicate whether there's a bullish or bearish signal.
Level Detection
- The script determines and labels key levels or points of interest in the chart based on
certain conditions.
- It can show labels like "①" and "▲" for bullish conditions and "▼" for bearish conditions.
Table Display
- There's an option to show a table on the chart that displays information about the MACD
indicator Chosen and the NUmber Bubble assocated with that time frame
- The table can include information like which time frame is being analyzed, whether the SMA
line is shown, and other relevant data.
Plotting on the Chart
- The script plots the Simple Moving Average (SMA) on the chart. The color of this line
changes based on the calculated trend conditions.
ATR (Average True Range)
- The script also plots the Average True Range (ATR) on the chart. ATR is used to measure
market volatility.
"In essence, this script is a highly customizable MACD and SMA indicator for traders. It assists traders in comprehending market trends, offering insights into different MACD cycles concerning various timeframes.
Users can configure it to match their trading strategies, and it presents information in a user-friendly manner with colors, labels, and tables.
This simplifies market analysis, allowing traders to make more informed decisions without the distraction of multiple indicators."
Time Cycles IndicatorThis script is used to analyze the seasonality of any asset (commodities, stocks, indices).
To use the script select a timeframe D or W and select the months you are interested in the script settings. You will see all the candles that are part of those months highlighted in the chart.
You can use this script to understand if assets have a cyclical behavior in certain months of the year.
DB ZEMAThe DB ZEMA indicator is a no repaint indicator that is designed to local trends and local tops/bottoms. Since the indicator does not repaint, decisions can be made upon bar/period OPEN.
That means, when the indicator turns red indicating a market top is finished, then a decision can be made to close at the OPEN of that period. Likewise, when the indicator turns green, a decision can be made to buy at OPEN or during the current bar.
Additionally, traders may use the ZEMA level to get insight on the strength of the asset. For example, when the ZEMA is below -50 that would indicate a major low or weakness is present. ZEMAs under a certain threshold can indicate very good investment long entry points. Alternatively, zooming the chart out to view a long range of periods can show a pattern of common low ZEMA levels can be used as a baseline for good entry points. The same holds true for existing a long or entering a short.
Using a combination of the ZEMA color and the ZEMA level it's can be easy to tell smart entry and exist points. Especially on the weekly or higher timeframes.
For traders wanting real time data, there is a setting to disable the no-repaint mode to display the current real time ZEMA value. Traders may also adjust the length. By default the length of 10 is provided which is excellent for Weekly. We recommend a length of less than 10 for even high timeframes. For example a length of 2 is excellent on 4 Month timeframe for looking at market cycles, etc.
Finally the indicator offers the ability to change the symbol. This can be helpful in crypto in comparing the chart asset again BTC or similar.
Enjoy!
Hani angle support and resistanceBy examining the intersections of the average price in the past, this indicator identifies points as support and resistance, according to which it determines a diagonal line to the last average price in the future.
As you can see in the picture, these points are more important than floors and ceilings, and they can be cited more
According to the 360-period cycles of the market, it has the best performance
In this indicator, there are two lines that show the average price in different periods.
Ingulf candles and the pattern of three return candles are used for the signal
In the scalp model, the pattern of three consecutive candles and one engulfing candle is used
In the model of circles, Engulfing candle is also used according to algo
By default, this stop loss calculation is twice the size of the signal candle, which you can change according to the type of transaction.
Enter the amount of your balance and change the amount of contract size according to the currency
For example, the contract size is Bitcoin (1) and the contract size is EURUSD (100,000) and XAUUSD (100) and enter the amount of risk in each transaction.
At the time of the signal, you will see the exact size required to enter the transaction (not including the commission, because each exchange has a different commission and a different spread).
For a better view of the market, you can pay special attention to the distance and angle of the two lines.
Support and resistance lines are continuously displayed for 500 candles to be considered in the future of the market
This indicator requires basic knowledge of candlestick and it is better for the trader to make the final decision according to the market situation. However, an alarm has also been set that sends the stop loss amount for use in the web hook.
The price at the moment of the signal is also alarmed for comparison so that the signal can be compared at the time of the alarm.
The size of the ATR band is used to measure the wave if the waves are large enough to send cleaner signals.
The green label: distance between the last intersection and the average price.
The yellow label: distance between two periods of the average price
White label: lot size to enter the market
pink label: ATR size
Fair Value Gap Oscillator (Expo)█ Overview
The Fair Value Gap Oscillator (Expo) is an indicator based on the concept of Fair Value Gaps. It is a momentum indicator that helps traders identify mispricings in the market over time. The indicator also incorporates volume and volatility to increase its accuracy further. The indicator can be used in both trending and range-bound markets.
FVG occurs when there is an insufficient amount of buyers and sellers in the market for a particular asset. This can cause a sudden and large gap in the asset price, creating an imbalance in the price. This gap can be large enough to prevent traders from entering the market to take advantage of the price discrepancy. This, in turn, leads to a lack of liquidity and further price volatility.
█ How is the Fair Value Gap Oscialltor calculated?
The Fair Value Gap Oscillator is calculated by using historical Fair Value Gapa, volume, and volatility to determine if the market is trading at a discount or premium relative to its historical fair value. It is based on the idea that prices move in fair value cycles and that by looking at the oscillations of FVG data over time, traders can get a deeper insight into how imbalances impact the price over time.
█ Oscillator Trading
Oscillators are technical indicators that are used to measure momentum within a given market. These indicators measure the speed and magnitude of price movements. Traders use oscillators to identify potential entry and exit points in the market. They may look for overbought and oversold conditions, or they may look for divergence between the price of an asset and its oscillator. When these signals are identified, traders can then enter or exit positions accordingly.
█ How to use
It is a momentum indicator that helps traders identify mispricings in the market over time. In addition, the FVG Oscialltor can be used to identify overbought and oversold conditions in the market, as well as trends and leading trend changes.
Trending Indicator
The Fair Value Gap Oscillator can also be used to identify trends in the market. By tracking the FVG over time, investors can identify whether the market is trending up or down.
Leading Indicator
This indicator can be used to identify leading changes in the market’s momentum and price action. It will indicate beforehand when the momentum decreases and a potential trend change is about to come.
Divergences
Leading Indicators are great for identifying divergences. This Fair Value Gap Oscillator is a powerful yet simple tool to spot divergences in the market.
It is important to remember that the Fair Value Gap Oscillator is just one tool in your investment toolbox. It should be used in conjunction with other smart money concept indicators to identify excellent trading opportunities.
█ Indicator Features
Trend FVG
A Trend FVG feature is added to help Trend Traders get a long-term overview of the FVG trend. This feature can be used for the leading FVG calculation to get a predictive FVG trend.
Leading FVG Calculation
The leading calculation makes the Fair Value Gap oscillator sensitive to fair value changes and becomes more leading.
Trend Line
The Trend line feature is a combination of the leading and the long-term trend that can be used as trend confirmation.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
OECD CLI Diffusion IndexWhat does the indicator measure?
This is a macro indicator. It uses OECD's composite leading indicator - see details about the CLI below.
What it does it calculate YoY changes for CLI of 38 countries that are members or are associated with the OECD. Then it measures a percent of countries which CLI is rising.
How this can be used?
The positive slope of the curve means that there probably will be an economic growth among those countries within next 6 - 9 months. The negative slope means there probably will be an economic contraction.
Forward-looking economic growth is correlated with positive S&P 500 YoY growth (equity markets are also forward looking). The chart above presents the CLI diffusion index with overlayed S&P500 YoY rate of change.
The CLI is also correlated with ISM PMI - see example below:
What is a CLI?
"The OECD system of Composite Leading Indicators (CLIs) is designed to provide early signals of turning points in business cycles - fluctuation in the output gap, i.e. fluctuation of the economic activity around its long term potential level. This approach, focusing on turning points (peaks and troughs), results in CLIs that provide qualitative rather than quantitative information on short-term economic movements."
Mechanical Switch DetectorThis script reads volume as a voltage and picks up the mechanical signal of a switch. Instead of looking at the light globe to see when it turns on, this picks up the surge/pattern created when flicking on the switch. This picks up chart movements/cycles directly from the switches used in the ticker machine.. Faster than light.
Adjust "len" in the settings to select the sensitivity of the current used to calculate the threshold. 20 is default but try lengths of 200 or even 6 for smaller surges of current. This script assumes the ticker data is an analogue signal and picks up mechanical responses that are embedded within this signal. Nothing is random.
Time TradesThese indicators are part of the Time Trades service.
This script includes 2 timing indicators:
* Cheat Code displays green and purple timing periods
* Gann Waves displays yellow and blue vertical bars
Both indicators are based on natural cycles, and are visible into the future.
Visibility of both indicators is controlled via the Settings menu.
Cheat Code:
* Displays green periods and purple periods.
* Prices seem to trend more within a green period, both up and down.
* Often there’s major pivots around the middle of a green period, and about 3/4 through.
* Prices seem to chop more within a purple period with lots of volatility and reversals.
* Thin light grey lines appear at regular intervals that tend to align with local pivots.
* Thick grey lines appear around the middle of the green period that tens to align with major pivots
* You can use this information to vary your trading strategy to better match the expected price behavior.
Gann Waves
* Displays yellow and purple vertical bands that tend to align with local pivots.
* You can match this up with the symbol you’re analyzing to see what patterns tend to happen during similar periods.
* Sometimes stocks will make local highs for 3-4 yellow periods in a row, and then make a lower high. This would indicate a potential change in trend.
Stochastic DotsThese Stochastic Dots can help show potential turning points and cycles in the market.
- The smaller dots are based off of a faster moving stochastic
- The bigger dots are based off of a longer moving stochastic
- Dots below the candle/bar are bullish
- Dots above the candle/bar are bearish
This indicator is not meant to be traded by itself. Use other forms of confluency and confirmation with it.
If you're interested in more customized indicators to suit your needs, feel free to message me.
Cycle IndicatorA cycle indicator using a combination of hull and simple moving average, makes divergence very easy to see, colors are paired up when on either side of a trend when in a down trend uses red, with green for a pull back and when in up trend uses lime with maroon for the pull back, time entry when pull backs are back over zero line
GME Cycle PredictorTitle: GME Cycle Predictor
Short Title: GME Cycle
Author:
Version: Pine Script @version=6
Published: September 25, 2025
Category: Cycle Analysis, Technical Analysis
Asset Focus: GameStop (GME) OverviewThe "GME Cycle Predictor" is a specialized cycle analysis tool designed for GameStop (GME) traders, identifying key cyclical patterns and confluence points that may signal significant price movements. Built on Pine Script @version=6, this indicator leverages historical reference points, volume, momentum, and Fibonacci levels to highlight critical cycle events, including 147-day quarterly cycles, 1704-day major cycles, T+35 FTD (Failure-to-Deliver) cycles, quarterly OPEX dates, and swap roll periods. The script provides a clean, visually intuitive interface with minimal clutter, using bright neon shapes, subtle background highlights, dynamic support/resistance levels, and a comprehensive information table to guide trading decisions. It is tailored for GME enthusiasts looking to capitalize on recurring market patterns tied to the stock’s unique history, such as the January 28, 2021 squeeze and Roaring Kitty’s return in June 2024.Key FeaturesCycle Detection:147-Day Quarterly Cycle: Marks every 147 days from the January 28, 2021 squeeze, indicating potential volatility periods.
1704-Day Major Cycle: Identifies long-term cycles starting from the 2021 squeeze, signaling rare but significant events.
T+35 FTD Cycles: Highlights 35-day Failure-to-Deliver settlement cycles, often associated with short squeeze pressure.
Quarterly OPEX Dates: Flags the 15th of March, June, September, and December for options expiration impacts.
Swap Roll Periods: Marks the last day of each quarter (March 30, June 30, September 30, December 31) for potential market maker activity.
Confluence Detection:Major Confluence: Combines 147-day cycles or OPEX dates with high volume (1.5x 20-day SMA) and RSI > 50 for strong bullish signals.
Super Confluence: Triggers when 1704-day and 147-day cycles align with high volume, indicating rare high-impact events.
Dynamic Support/Resistance:Plots 147-day cycle highs and lows as dynamic support/resistance levels.
Includes a 61.8% Fibonacci retracement level between cycle highs and lows for key price targets.
Visual Elements:Neon Shapes: Uses distinct, bright shapes for cycle events (no text labels):Red Circle (147-Day Cycle)
Yellow Diamond (1704-Day Major Cycle)
Orange Triangle (Quarterly OPEX)
Green Square (T+35 FTD Cycle)
Purple X (Swap Roll)
Rocket () for 1704-day hits
Target () for January 28 anniversary
Cat () for Roaring Kitty’s June 2, 2024 return
Background Highlights: Subtle red (super confluence) and yellow (major confluence) background colors to mark high-probability events.
Support/Resistance Lines: Red (147-day high), lime (147-day low), and blue (61.8% Fibonacci) lines with transparency for clarity.
Information Table:Displays a clean, 11-row table in the top-right corner with a legend and status:Legend: Explains each shape and its corresponding cycle/event.
Status: Shows days since the January 28, 2021 squeeze, days until the next 1704-day and 147-day cycles (with red text for imminent events, ≤10 and ≤5 days, respectively).
Updates dynamically to avoid redundancy and ensure accuracy.
Alerts:Configurable alerts for 147-day cycle hits, 1704-day cycle hits, and super confluence events, enabling timely notifications for traders.
How It WorksHistorical Reference: Anchors cycles to the January 28, 2021 GME squeeze (timestamp("2021-01-28 00:00")) and Roaring Kitty’s return on June 2, 2024 (timestamp("2024-06-02 00:00")).
Cycle Calculations: Uses days_since_squeeze to compute modulo-based cycles (147-day, 1704-day, 35-day) and specific dates for OPEX and swap rolls.
Confluence Signals: Combines cycle events with volume (1.5x 20-day SMA) and RSI (>50) for major confluence, and adds 1704-day alignment for super confluence.
Visuals: Plots small, neon-colored shapes (circles, diamonds, triangles, squares, X’s) without text to minimize clutter, with subtle background highlights and dynamic support/resistance lines.
Table: Provides a legend for shapes and real-time status updates on cycle proximity.
Alerts: Triggers notifications for key cycle events to support active trading strategies.
Usage InstructionsApply to Chart:Add the indicator to a GME chart (e.g., daily timeframe recommended) in TradingView.
Ensure sufficient chart history (back to January 2021) for accurate cycle calculations.
Interpret Signals:Buy Opportunities:Look for red circles (147-day cycle), yellow diamonds (1704-day cycle), or orange triangles (OPEX) with yellow background (major confluence) or red background (super confluence).
Confirm with high volume and RSI > 50 in the table or chart.
The 61.8% Fibonacci level (blue) and 147-day low (lime) act as potential support for entries.
Sell Opportunities:Monitor for cycle peaks (e.g., 147-day high in red) or lack of confluence signals.
Use purple X’s (swap rolls) as potential exit points for volatility spikes.
Avoid Trading:No shapes or background colors indicate low-probability setups.
Use the Table:Check the table’s “Days Since 1/28/21” to track cycle progress.
Note “Next 1704-Day” and “Next 147-Day” counts; red text (≤10 or ≤5 days) signals upcoming events.
Use the legend to identify shape meanings.
Set Alerts:Configure alerts for “147-Day Cycle Alert”, “1704-Day Major Cycle Alert”, or “Super Confluence Alert” to receive notifications on key events.
Input SettingsShow All Cycle Predictions: Toggle all cycle markers (default: true).
Show 147-Day Quarterly Cycle: Toggle red circles for 147-day cycles (default: true).
Show 1704-Day Major Cycle: Toggle yellow diamonds for 1704-day cycles (default: true).
Show FTD T+35 Cycles: Toggle green squares for 35-day FTD cycles (default: true).
Show Swap Roll Dates: Toggle purple X’s for swap roll periods (default: true).
Example Table Output
LEGEND & STATUS |
🔴 Red Circle | 147-Day Cycle
🟡 Yellow Diamond | 1704-Day MAJOR
🟢 Green Square | T+35 FTD
🟠 Orange Triangle | Quarterly OPEX
🟣 Purple X | Swap Roll
🚀 Rocket | 1704 Hit!
🎯 Target | Jan 28 Anniv
Days Since 1/28/21 | 1357
Next 1704-Day | 347 days
Next 147-Day | 12 days
Why Use This Indicator?GME-Specific: Tailored for GME’s unique market dynamics, referencing the 2021 squeeze and 2024 events.
Clean Visuals: Uses bright neon shapes and minimal labels to reduce chart clutter while highlighting key cycles.
Actionable Insights: Combines cycle analysis with volume, momentum, and Fibonacci levels for high-probability setups.
Dynamic Table: Provides real-time cycle status and a clear legend for easy interpretation.
Customizable: Toggle specific cycles and adjust visuals to suit your trading style.
Notes for TradersBest Timeframe: Daily chart for accurate cycle alignment, though intraday (e.g., 1h) can work for short-term confirmation.
Risk Management: Use confluence signals (yellow/red backgrounds) and support levels (lime, blue) for entries; monitor swap rolls and cycle peaks for exits.
Limitations: Cycles are based on historical patterns and may not guarantee future performance. Combine with other indicators (e.g., RSI, volume) for confirmation.
Testing: Backtest on GME’s historical data (2021–2025) to validate cycle accuracy, especially around January 28 anniversaries and June 2024 events.
Publication NotesTags: GME, Cycle Analysis, GameStop, Short Squeeze, Technical Analysis, FTD Cycles, OPEX, Swap Rolls
Chart Example: Include a GME daily chart screenshot showing neon shapes, background highlights, support/resistance lines, and the table. Highlight a super confluence event (red background) or a 147-day cycle hit (red circle).
Community Contribution: Encourage feedback from GME traders to refine cycle lengths or add new reference points.
Disclaimer: Emphasize that this is for educational purposes, not financial advice. Past cycles do not guarantee future results.
