Zero Lag Trend Signals (MTF) + Sideways FilterAbsolutely! Here's a **plain-language description** of what the script does **without diving into code**:
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### 🔍 **What This Script Does:**
This is a **technical indicator** for TradingView that helps you identify:
1. **When the market is trending** (either bullish or bearish).
2. **When the market is moving sideways** (range-bound or choppy).
3. **Entry signals** during strong trends.
4. **Confirmation signals** across **multiple timeframes** (from 5-minute to daily).
5. **Visual cues and alerts** to guide trading decisions.
---
### 📈 **How It Works:**
#### 1. **Zero Lag Trend Detection**
- It uses a special moving average called **ZLEMA** (Zero Lag Exponential Moving Average) that reacts faster to price changes than traditional ones.
- If the price moves strongly above or below this average, the script recognizes it as a **new trend starting**.
#### 2. **Sideways Market Filter**
- It checks whether the market is **moving within a tight range** by analyzing:
- RSI (Relative Strength Index)
- ADX (Average Directional Index)
- If the market is sideways, it **avoids showing trend signals** and displays a gray circle instead to indicate indecision or no clear trend.
#### 3. **Visual Trend Markers**
- **Green arrows** appear when an upward trend begins.
- **Red arrows** appear when a downward trend begins.
- **Smaller arrows** suggest continuation or entry points during an ongoing trend.
#### 4. **Multi-Timeframe Confirmation**
- It looks at the trend across **five different timeframes** (e.g., 5 min, 15 min, 1 hour, 4 hour, 1 day).
- A **table appears on your chart** showing whether each timeframe is bullish or bearish — helping you make better-informed decisions.
#### 5. **Alerts**
- The script can send **alerts when trend signals appear**, so you don’t miss a potential trade setup even if you're away from the screen.
---
### ✅ **Why Use It:**
This script is ideal for:
- Traders who want to **follow trends and avoid choppy markets**.
- Those who prefer **clear visual signals** and multi-timeframe analysis.
- Anyone using **momentum or trend-following strategies**, especially with indicators like ZLEMA or ADX.
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Cari dalam skrip untuk "Cycle"
sideways market for strangleThis Pine Script is designed to identify **sideways or range-bound markets**, which are often ideal conditions for trading **options strangle strategies**. Here's a breakdown of what the script does:
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### 🛠 **Purpose:**
To **detect low-volatility, sideways market conditions** where price is not trending strongly in either direction — suitable for **neutral options strategies like short strangles**.
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### 📌 **Key Components:**
#### 1. **Inputs:**
- `RSI Length`: Default 14 — used for calculating the Relative Strength Index (RSI).
- `ADX Length`: Default 14 — used for calculating the Average Directional Index (ADX), DI+ (positive directional movement), and DI- (negative directional movement).
#### 2. **RSI Calculation:**
- `rsiValue` is calculated using the built-in `ta.rsi(close, rsiLength)`.
- A **sideways market** is expected when RSI is in the **40–60 range**, indicating lack of strong momentum.
#### 3. **ADX and Directional Indicators (DI+ and DI-):**
- `diPlus` and `diMinus` are calculated based on recent price movements and the True Range.
- `dx` (Directional Index) measures the strength of trend direction using the difference between DI+ and DI-.
- `adx` is a smoothed version of `dx` and represents **overall trend strength**.
#### 4. **Sideways Market Conditions:**
- **RSI Condition**: RSI is between 40 and 60.
- **ADX Condition**:
- `adx <= 25` → Weak or no trend.
- `adx < diPlus` and `adx < diMinus` → Confirms ADX is lower than directional components, reducing likelihood of a trending market.
#### 5. **Signal Plot:**
- A **green label below the bar** (`shape.labelup`) is plotted when both conditions are met.
- Indicates potential sideways market conditions.
---
### ✅ **Use Case:**
- This signal can help identify **low-volatility zones** suitable for **short strangles** or **iron condors**, where you profit from time decay while expecting the price to stay within a range.
Zero Lag Trend Signals (MTF) + Sideways FilterThis script is a custom indicator for TradingView that combines two major components: the **Zero Lag Trend** (with MTF support) and a **Sideways Market Filter**. Let me break down the key features and functions of the script:
### Key Components:
1. **Zero Lag Trend Signals**:
- **Zero Lag Trend (ZLEMA)**: A smoothed moving average designed to minimize lag and give faster responses to price movements. This is used to determine the trend.
- **Trend Bands**: Upper and lower bands are derived from the ZLEMA value and adjusted by volatility (calculated using Average True Range or ATR).
- **Trend Direction**: The trend direction is determined by whether the price crosses over the upper or lower band of the ZLEMA, indicating bullish or bearish trends.
2. **Sideways Market Filter**:
- **RSI (Relative Strength Index)**: Measures the speed and change of price movements. It's used here to identify neutral or sideways market conditions when RSI is between 40 and 60.
- **ADX (Average Directional Index)**: Measures the strength of a trend. The script considers a sideways market when ADX is less than 25 and both DI+ and DI- are low.
- **Sideways Market Condition**: A sideways market is defined when the RSI is in the range of 40 to 60 and the ADX is below 25, indicating weak trends.
### Main Features:
1. **Sideways Market Indicators**:
- **Sideways Circles**: When the market is identified as "sideways" based on RSI and ADX conditions, a small circle is plotted either above or below the bars on the chart. The user can adjust the color of the circles via the indicator settings.
- **Sideways Market Filter**: This filter helps to determine when to stay out of trend-based signals, and its detection is visually marked by the circles.
2. **Zero Lag Trend (ZLEMA) Plot**:
- **ZLEMA**: The Zero Lag Exponential Moving Average is plotted as a baseline, and the direction of the trend is indicated by color changes. Green is used for bullish trends, and red is used for bearish trends.
- **Trend Bands**: The script calculates upper and lower bands around the ZLEMA using volatility, and these bands help identify areas of potential trend reversal.
3. **Trend Plotting**:
- **Trend Arrows**: When the trend crosses from bullish to bearish or vice versa, the script plots arrows ("▲" for bullish and "▼" for bearish) above or below the bars on the chart to indicate the signal.
- **Trend Entry Points**: Small arrows are plotted when an entry point is detected for a long (bullish) or short (bearish) position.
4. **Multi-Timeframe (MTF) Trend Signals**:
- The script includes multi-timeframe (MTF) analysis by checking the trend on different timeframes (5m, 15m, 60m, 240m, and 1D).
- A **data table** is displayed on the chart showing the trend status for each of these timeframes (Bullish or Bearish), helping the trader visualize the trend across multiple timeframes.
5. **Alerts**:
- **Alert Conditions**: Alerts are triggered when specific conditions are met, such as:
- Bullish or bearish trend crossover.
- Zero Lag Trend crossing the price.
- Trend change signals on any of the timeframes.
- Alerts for bullish and bearish entry signals based on the trend.
### Inputs for Customization:
- **Zero Lag Trend Parameters**: Length, multiplier for the band, and timeframes for MTF analysis (t1, t2, t3, t4, t5).
- **Color Customization**: Colors for bullish and bearish trends, as well as the fill colors for the bands and the sideways market circles.
- **Sideways Market Filter Parameters**: RSI length, ADX length, and options for showing sideways market circles.
- **Circle Customization**: You can adjust the size, color, and location (above or below bars) of the sideways market circles.
### Summary:
This indicator is a sophisticated tool that combines the **Zero Lag Trend** and **Sideways Market Filter** to help traders:
- Identify strong trends (bullish or bearish) using the ZLEMA and volatility bands.
- Stay out of choppy or sideways markets using the RSI and ADX filter.
- Make trading decisions based on trend confirmation across multiple timeframes (MTF).
- Customize the visual appearance, including color schemes, circle size, and alert conditions.
This script is perfect for traders who want to focus on trading trends while avoiding market conditions that are not conducive to strong directional moves.
AIAE: Average Investor's Allocation To EquityPeople say a bull market ends when there are no more buyers left on the market and a bear market ends when there are no more sellers. Well, this indicador shows exactly this.
It uses FRED data to compare the total value invested on stocks with the total value held by investors to find the percentage that is allocated to stocks.
The exact formula used to calculate this index was created by pseudonymous Jesse Livermore and is available for free to anyone who wishes to consult it in his blog Philosophical Economics . The only thing I'm adding here that wasn't available on Jesse's index is the color code.
This script will use Jesse's formula to find the average investor's allocation to equity at any given time. Then, it will color the SPDR (S&P 500) according to this allocation.
A high allocation to equity means we could be close to a market correction, so it will color the SPDR in red and a low allocation means we could be close to a market bottom, so it will color the SPDR in blue.
Here's the exact color parameters used:
switch
AIAE <= 23 => priceLevel := "Gift"
AIAE > 23 and AIAE <=26 => priceLevel := "Very Cheap"
AIAE > 26 and AIAE <= 29 => priceLevel := "Cheap"
AIAE > 29 and AIAE <= 32 => priceLevel := "Slightly Cheap"
AIAE > 32 and AIAE <= 37 => priceLevel := "Neutral"
AIAE > 37 and AIAE <= 40 => priceLevel := "Slightly Expensive"
AIAE > 40 and AIAE <= 43 => priceLevel := "Expensive"
AIAE > 43 and AIAE <= 46 => priceLevel := "Very Expensive"
AIAE > 46 => priceLevel := "Exuberant"
Please note that this indicador should ONLY be used on the SPDR (S&P 500). It will not produce adequate results if used on other assets.
Central Banks Balance Sheets ROI% ChangeIntroducing the "Central Banks Balance Sheets ROI% Change" indicator, a tool designed to offer traders and analysts an understanding of global liquidity dynamics.
This indicator tracks the Return on Investment (ROI) percentage changes across major central banks' balance sheets, providing insights into shifts in global economic liquidity not tied to cumulative figures but through ROI calculations, capturing the pulse of overall economic dynamics.
Key Enhancements:
ROI Period Customization: Users can now adjust the ROI calculation period, offering flexibility to analyze short-term fluctuations or longer-term trends in central bank activities, aligning with their strategic time horizons.
Chart Offset Feature: This new functionality allows traders to shift the chart view, aiding in the alignment of data visualization with other indicators or specific analysis needs, enhancing interpretive clarity.
Central Bank Selection: With options to include or exclude data from specific central banks among the world's top 15 economies (with the exception of Mexico and the consolidation of the EU's central bank data), traders can tailor the analysis to their regional focus or diversification strategies.
US M2 Option: Recognizing the significance of the M2 money supply as a liquidity metric, this indicator offers an alternative view focusing solely on the US M2, allowing for a concentrated analysis of the US liquidity environment.
Comprehensive Coverage: The tool covers a wide array of central banks, including the Federal Reserve, People's Bank of China, European Central Bank, and more, ensuring a broad and inclusive perspective on global liquidity.
Visualization Enhancements: A histogram plot vividly distinguishes between positive and negative ROI changes, offering an intuitive grasp of liquidity expansions or contractions at a glance.
This indicator is a strategic tool designed for traders who seek to understand the undercurrents of market liquidity and its implications on global markets.
Whether you're assessing the impact of central bank policies, gauging economic health, or identifying investment opportunities, the "Central Banks Balance Sheets ROI% Change" indicator offers a critical lens through which to view the complex interplay of global liquidity factors.
Tesla Coil MLThis is a re-implementation of @veryfid's wonderful Tesla Coil indicator to leverage basic Machine Learning Algorithms to help classify coil crossovers. The original Tesla Coil indicator requires extensive training and practice for the user to develop adequate intuition to interpret coil crossovers. The goal for this version is to help the user understand the underlying logic of the Tesla Coil indicator and provide a more intuitive way to interpret the indicator. The signals should be interpreted as suggestions rather than as a hard-coded set of rules.
NOTE: Please do NOT trade off the signals blindly. Always try to use your own intuition for understanding the coils and check for confluence with other indicators before initiating a trade.
Exponential Top and Bottom FinderThis is an indicator to identify possible tops and bottoms after exponential price surges and drops, it works best on ETH 1D, but you can also use it for bitcoin and altcoins.
It's based on stochastic first and second derivatives of a close moving average
Market Makers MoveV1,V2, & V3: New indicator release!! In this fantastic new indicator, you can do the following:
- Specify a particular EMA crossing combination (between a fast and a slow ema line)
- Specify the timeframe (can be independent or based on current chart timeframe, by default)
- Select one of four possible potential profiles (ETFs Only, Crypto, and more!) OR input manually any of 40 possible tickers AND
- Assess whether entry for calls or puts is appropriate based on price action on realtime view between 2 tickers, one which will be the highest (strongest) trend up and the other going the lowest (weakest) trend possible, all at the same time!
This indicator is by no means financial advice!! So by all means, use according to proper assessment and risk management! There are various tooltips instilled to each field and table of the indicator, all to better guide you for better end results!
Cheers! and good luck in you!!
Market Timing(Mastersinnifty)Overview
Market Timing (Mastersinnifty) is a proprietary visualization tool designed to help traders study historical market behavior through structural pattern similarity.
The script analyzes the most recent session’s price action and identifies the closest-matching historical sequence among thousands of past patterns. Once a match is found, the script projects the subsequent historical price path onto the current chart for easy visual reference.
Unlike traditional indicators, Market Timing (Mastersinnifty) does not generate trade signals. Instead, it offers a unique historical scenario analysis based on quantified structural similarity.
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How It Works
- The script captures the last 20 closing prices and compares them to historical price sequences from the past 8000 bars.
- Similarity is computed using the Euclidean distance formula (sum of squared differences) between the current pattern and historical candidates.
- Upon finding the most similar past pattern, the subsequent historical movement is normalized relative to session opening and plotted onto the current chart using projection lines.
- The projection automatically adapts to intraday, daily, weekly, or monthly timeframes, with the option for manual or automatic projection length settings.
- Session start detection is handled automatically based on volume thresholds and price-time analysis to adjust for market openings across different instruments.
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Key Features
- Historical Pattern Matching: Quantitative matching of the most similar past price structure.
- Dynamic Projections: Visualizes likely historical scenarios based on past market behavior.
- Auto/Manual Projection Length: Flexible control over the number of projected bars.
- Multi-Timeframe Support: Works seamlessly across intraday, daily, weekly, and monthly charts.
- Purely Visual Context: Designed to support human decision-making without replacing it with automatic trade signals.
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Who Can Benefit
- Traders studying market structure repetition and price symmetry.
- Visual thinkers who prefer scenario-based planning over fixed indicator systems.
- Intraday, swing, and position traders looking for historical context to complement price action, volume, and momentum studies.
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How to Use
- Apply the script to any asset — including indices, stocks, commodities, forex, or crypto.
- Select your preferred timeframe.
- Choose "Auto" or "Custom" for the projection length.
- Observe the projected lines:
- Upward slope = Historical bullish continuation.
- Downward slope = Historical bearish continuation.
- Flat movement = Historical sideways movement.
- Combine insights with volume, support/resistance, and price action for better decision-making.
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Important Notes
- This script does not predict the future. It offers a visual reference based on historical similarity.
- Always validate projected scenarios with live market conditions.
- Market structure evolves; past behavior may not repeat under new market dynamics.
- Use this tool for educational and research purposes only.
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Disclaimer
This is not financial advice. The Market Timing (Mastersinnifty) tool is intended for research and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always apply sound risk management practices.
MF TimeWaves Predictor: Find future Top and Bottom PivotsThe script allows to predict future pivot tops and bottoms "dates" by studying the chart.
For it, it detects the past pivots and project new ones on the future
It might be useful for swing trading
You might want to enable the "Automatically modify settings" options if you want to use my default settings for different timeframes
Note: It does not offers any prediction for future prices, just dates
Enjoy!
Monthly Drawdowns and Moves UP This script allows users to analyze the performance of a specific month across multiple years, focusing on maximum drawdowns and maximum upward moves within the selected month. The script offers the following features:
Dynamic Month Selection : Choose any month to analyze using an intuitive dropdown menu.
Maximum Drawdown and Upward Move Calculations :
Calculate the largest percentage drop (drawdown) and rise (move up) for the selected month each year.
Visual Highlights :
The selected month is visually highlighted on the chart with a semi-transparent overlay.
Dynamic Labels:
Labels display the maximum drawdown and upward move directly on the chart for better visualization.
Comprehensive Table Summary:
A table provides a year-by-year summary of the maximum drawdowns and upward moves for the selected month, making it easy to spot trends over time.
Customizable Display Options:
Toggle the visibility of drawdown labels, move-up labels, and the summary table for a clutter-free experience.
This tool is perfect for traders and analysts looking to identify seasonal patterns, assess risk and opportunity, and gain deeper insights into monthly performance metrics across years. Customize, explore, and make informed decisions with this powerful Pine Script indicator.
Weighted Fourier Transform: Spectral Gating & Main Frequency🙏🏻 This drop has 2 purposes:
1) to inform every1 who'd ever see it that Weighted Fourier Tranform does exist, while being available nowhere online, not even in papers, yet there's nothing incredibly complicated about it, and it can/should be used in certain cases;
2) to show TradingView users how they can use it now in dem endevours, to show em what spectral filtering is, and what can they do with all of it in diy mode.
... so we gonna have 2 sections in the description
Section 1: Weighted Fourier Transform
It's quite easy to include weights in Fourier analysis: you just premultiply each datapoint by its corresponding weight -> feed to direct Fourier Transform, and then divide by weights after inverse Fourier transform. Alternatevely, in direct transform you just multiply contributions of each data point to the real and imaginary parts of the Fourier transform by corresponding weights (in accumulation phase), and in inverse transform you divide by weights instead during the accumulation phase. Everything else stays the same just like in non-weighted version.
If you're from the first target group let's say, you prolly know a thing or deux about how to code & about Fourier Transform, so you can just check lines of code to see the implementation of Weighted Discrete version of Fourier Transform, and port it to to any technology you desire. Pine Script is a developing technology that is incredibly comfortable in use for quant-related tasks and anything involving time series in general. While also using Python for research and C++ for development, every time I can do what I want in Pine Script, I reach for it and never touch matlab, python, R, or anything else.
Weighted version allows you to explicetly include order/time information into the operation, which is essential with every time series, although not widely used in mainstream just as many other obvious and right things. If you think deeply, you'll understand that you can apply a usual non-weighted Fourier to any 2d+ data you can (even if none of these dimensions represent time), because this is a geometric tool in essence. By applying linearly decaying weights inside Fourier transform, you're explicetly saying, "one of these dimensions is Time, and weights represent the order". And obviously you can combine multiple weightings, eg time and another characteristic of each datum, allows you to include another non-spatial dimension in your model.
By doing that, on properly processed (not only stationary but Also centered around zero data), you can get some interesting results that you won't be able to recreate without weights:
^^ A sine wave, centered around zero, period of 16. Gray line made by: DWFT (direct weighted Fourier transform) -> spectral gating -> IWFT (inverse weighted Fourier transform) -> plotting the last value of gated reconstructed data, all applied to expanding window. Look how precisely it follows the original data (the sine wave) with no lag at all. This can't be done by using non-weighted version of Fourier transform.
^^ spectral filtering applied to the whole dataset, calculated on the latest data update
And you should never forget about Fast Fourier Transform, tho it needs recursion...
Section 2: About use cases for quant trading, about this particular implementaion in Pine Script 6 (currently the latest version as of Friday 13, December 2k24).
Given the current state of things, we have certain limits on matrix size on TradingView (and we need big dope matrixes to calculate polynomial regression -> detrend & center our data before Fourier), and recursion is not yet available in Pine Script, so the script works on short datasets only, and requires some time.
A note on detrending. For quality results, Fourier Transform should be applied to not only stationary but also centered around zero data. The rightest way to do detrending of time series
is to fit Cumulative Weighted Moving Polynomial Regression (known as WLSMA in some narrow circles xD) and calculate the deltas between datapoint at time t and this wonderful fit at time t. That's exactly what you see on the main chart of script description: notice the distances between chart and WLSMA, now look lower and see how it matches the distances between zero and purple line in WFT study. Using residuals of one regression fit of the whole dataset makes less sense in time series context, we break some 'time' and order rules in a way, tho not many understand/cares abouit it in mainstream quant industry.
Two ways of using the script:
Spectral Gating aka Spectral filtering. Frequency domain filtering is quite responsive and for a greater computational cost does not introduce a lag the way it works with time-domain filtering. Works this way: direct Fourier transform your data to get frequency & phase info -> compute power spectrum out of it -> zero out all dem freqs that ain't hit your threshold -> inverse Fourier tranform what's left -> repeat at each datapoint plotting the very first value of reconstructed array*. With this you can watch for zero crossings to make appropriate trading decisions.
^^ plot Freq pass to use the script this way, use Level setting to control the intensity of gating. These 3 only available values: -1, 0 and 1, are the general & natural ones.
* if you turn on labels in script's style settings, you see the gray dots perfectly fitting your data. They get recalculated (for the whole dataset) at each update. You call it repainting, this is for analytical & aesthetic purposes. Included for demonstration only.
Finding main/dominant frequency & period. You can use it to set up Length for your other studies, and for analytical purposes simply to understand the periodicity of your data.
^^ plot main frequency/main period to use the script this way. On the screenshot, you can see the script applied to sine wave of period 16, notice how many datapoints it took the algo to figure out the signal's period quite good in expanding window mode
Now what's the next step? You can try applying signal windowing techniques to make it all less data-driven but your ego-driven, make a weighted periodogram or autocorrelogram (check Wiener-Khinchin Theorem ), and maybe whole shiny spectrogram?
... you decide, choice is yours,
The butterfly reflect the doors ...
∞
Weekly Stacked Daily Changes [LuxAlgo]The Weekly Stacked Daily Changes tool allows traders to compare daily net price changes for each day of the week, stacked by week. It provides a very convenient way to compare daily and weekly volatility at the same time.
🔶 USAGE
The tool requires no configuration and works perfectly out of the box, displaying the net price change for each day of the week as stacked boxes of the appropriate size.
Traders can adjust the width of the columns and the spacing between days and weeks, options to change the color and disable the months and new month lines are also available.
🔹 Bottom Stack Bias
This feature allows traders to compare weekly volatility in two different ways.
With this feature disabled, all weeks use zero as the bottom of the stack, so traders can see at a glance weeks with more volatility and weeks with less volatility.
Enabling this feature will cause the tool to display the stacks with the weekly net price change as the bottom, so if a stack starts below the zero line it means that week has a negative net return, and if it starts above the zero line it means that week has a positive net return.
🔶 SETTINGS
Width: Select the fixed width for each column.
Offset: Choose the fixed width between each column.
Spacing: Select the distance between each day within each column.
🔹 Style
Bottom Stack Bias: Use weekly net price change as the bottom of the stack.
Bullish Change: Color for days with positive net price change
Bearish Change: Color for days with negative net price change
Show Months: Under each week stack, display the month
Show Months Delimiter: Display a line indicating the start of a new month
Fibonacci Time PeriodsThe " Fibonacci Time Periods " indicator uses power exponents of the constant Phi based on your custom time period to generate Fibonacci sequence-based progression on a given chart. This tool can help to anticipate the timing of potential turning points by highlighting Fib time zones where significant price movements may occur.
It is different from other alternatives specifically for the ability to alter the rate of progression .
Most famous regular Fib sequence expands with 1.618^(n+1) rate which produces vast change just after few iterations.
Those ever-expanding big intervals don't allow us to cover the smaller details of the chart which we might find crucial. So, the idea was born to break down the constant Phi to a self-fraction using power exponents. In other words, reducing rate of progression to make the expansion more gradual without losing properties of Fibonacci proportions.
Default settings have a rate of 0.25 which is basically Phi^1/4
That means we expect 4x more lines than in regular sequence to cover missing bits owing to formula: 1.618^(0.25*(n+1))
(Line 0.618 is added to enhance visual orientation and perception of proportions)
How it works:
Exponential rate of progression
First, it works out the difference between your custom start (0) and end (1) period
The result is multiplied by 1.618^rate to get the step
Rest lines are created by iterations. For instance, with default rate of 0.25, the 1st generated line = start + (End-Start)*1.618^0.25* 1 , second line = start + (End-Start)*1.618^0.25* 2 , etc.
If we change the rate to 1 it will produce the regular fib sequence with 1.618^(n+1) rate
Fixed rate of progression:
In this mode, when rate is 0.25, it grows exactly with exponent step of 0.25 so first, second, third, etc generated lines also have the fixed exponent of 0.25. The distance between lines do not expand.
How to use:
Set the start and end dates
Choose the type of progression
Choose your desired rate of progression
Customize the colors to match your chart preferences.
Observe the generated Fibonacci time intervals and use them to identify potential market movements and reactions.
Advanced MACD [CryptoSea]Advanced MACD (AMACD) enhances the traditional MACD indicator, integrating innovative features for traders aiming for deeper insights into market momentum and sentiment. It's crafted for those seeking to explore nuanced behaviors of the MACD histogram, thus offering a refined perspective on market dynamics.
Divergence moves can offer insight into continuation or potential reversals in structure, the example below is a clear continuation signal.
Key Features
Enhanced Histogram Analysis: Precisely tracks movements of the MACD histogram, identifying growth or decline periods, essential for understanding market momentum.
High/Low Markers: Marks the highest and lowest points of the histogram within a user-defined period, signaling potential shifts in the market.
Dynamic Averages Calculation: Computes average durations of histogram phases, providing a benchmark against historical performance.
Color-Coded Histogram: Dynamically adjusts the histogram's color intensity based on the current streak's duration relative to its average, offering a visual cue of momentum strength.
Customisable MACD Settings: Enables adjustments to MACD parameters, aligning with individual trading strategies.
Interactive Dashboard: Showcases an on-chart table with average durations for each phase, aiding swift decision-making.
Settings & Customisation
MACD Settings: Customise fast length, slow length, and signal smoothing to tailor the MACD calculations to your trading needs.
Reset Period: Determine the number of bars to identify the histogram's significant high and low points.
Histogram High/Lows: Option to display critical high and low levels of the histogram for easy referencing.
Candle Colours: Select between neutral or traditional candle colors to match your analytical preferences.
When in strong trends, you can use the average table to determine when to look to get into a position. This example we are in a strong downtrend, we then see the histogram growing above the average in these conditions which is where we should look to get into a shorting position.
Strategic Applications
The AMACD serves not just as an indicator but as a comprehensive analytical tool for spotting market trends, momentum shifts, and potential reversal points. It's particularly useful for traders to:
Spot Momentum Changes Utilise dynamic coloring and streak tracking to alert shifts in momentum, helping anticipate market movements.
Identify Market Extremes Use high and low markers to spot potential market turning points, aiding in risk management and decision-making.
Alert Conditions
Above Average Movement Alerts: Triggered when the duration of the MACD histogram's growth or decline is unusually long, these alerts signal sustained momentum:
Above Zero: Alerts for both growing and declining movements above zero, indicating either continued bullish trends or potential bearish reversals.
Below Zero: Alerts for growth and decline below zero, pointing to potential bullish reversals or confirmed bearish trends.
High/Low Break Alerts: Activated when the histogram reaches new highs or falls to new lows beyond the set thresholds, these alerts are crucial for identifying shifts in market dynamics:
Break Above Last High: Indicates a potential upward trend as the histogram surpasses recent highs.
Break Below Last Low: Warns of a possible downward trend as the histogram drops below recent lows.
These alert conditions enable traders to automate part of their market monitoring or potential to automate the signals to take action elsewhere.
Global Net Liquidity (TG fork)Worldwide net liquidity, with trend coloring.
Global Net Liquidity attempts to represent worldwide net liquidity, and is defined as: Fed + Japan + China + UK + ECB - RRP - TGA , Where the first five components are central bank assets.
On TradingView, the indicator can be reproduced with the following equations: Global Net Liquidity = FRED:WALCL + FRED:JPNASSETS * FX_IDC:JPYUSD + CNCBBS * FX_IDC:CNYUSD + GBCBBS * FX:GBPUSD + ECBASSETSW * FX:EURUSD + RRPONTSYD + WTREGEN
However, this indicator adds a moving average cloud, and margin coloring, which eases historical trend assessment at a glance.
This indicator can be seen as an alternative representation of the accumulation/distribution indicator (and hence the same terms can be used in this description).
The Moving Average Cloud is simply the filling between the moving average (by default an EMA) and the current value. This feature was inspired by D7R ACC/DIST closed-source indicator, kudos to D7R for making such neat visual indicators.
Usage instructions:
Blue is more likely a phase of accumulation because the current value is above its historical price as defined by the moving average,
red is when this is more likely a phase of distribution.
Yellow is when the difference is below the margin, so we consider it is insignificant and that the trend is undecided. This can be disabled by setting the margin to 0.
While the color indicates if it's more likely an accumulation (blue) or distribution (red) phase or undecided (yellow), the cloud's vertical size allows to assess the strength of this tendency and the horizontal size the momentum, so that the bigger the cloud, the stronger the accumulation (if cloud is blue) or distribution (if cloud is red).
Why is that so? This is because the cloud represents the difference between the current tendency and the moving averaged past one, so a bigger cloud represents a bigger departure from recently observed tendencies. In practice, when there is accumulation, a pump in price can be expected soon, or if it already happened then it means it is indeed supported by volume, whereas if distribution, either a dump is to be expected soon, or if it already happened it means it's supported by volume.
Or maybe not necessarily a dump, but if there is a move upward in price, but the indicator indicates a strong distribution, then it means that the price movement is not supported and may not be sustainable (reversal may happen at anytime), whereas if price is going upward AND there is an accumulation (blue coloring) then it is more sustainable. This can be used to adapt strategies accordingly (risk on/risk off depending on whether there is concordance of both price and accumulation/distribution).
This indicator also includes sentiment signals that can be used to trigger alarms.
This indicator is a remix of Dharmatech's, who authored the first this Global Net Liquidity equation, kudos to them! Please show them some love if you like this indicator!
MVRV Z-ScoreThe MVRV ratio was created by Murad Mahmudov & David Puell. It simply compares Market Cap to Realised Cap, presenting a ratio (MVRV = Market Cap / Realised Cap). The MVRV Z-Score is a later version, refining the metric by normalising the peaks and troughs of the data.
Fierytrading: Volatility DepthDear Tradingview community,
I'd like to share one of my staple indicators with you. The volatility depth indicator calculates the volatility over a 7-day period and plots it on your chart.
This indicator only works for the DAILY chart on BTC/USD.
Colors
I've color coded the indicator as follows:
- Red: Extreme Volatility
- Orange: High Volatility
- Yellow: Normal Volatility
- Green: Low Volatility
Red: extreme changes in price. Often during local tops and bottoms.
Orange: higher than average moves in price. Often before or after a "red" period. Often seen in the middle of bear or bull markets.
Yellow: normal price action. Often seen during early stage bull-markets and late stage bear-markets.
Green: very low price movement. Often during times of indecision. Once this indicator becomes green, you can expect a big move in either direction. Low volatility is always followed by high volatility.
In a long-term uptrend, a green period often signals a bullish break out. In a long-term downtrend it often signals a bearish break out.
How to use
Save the indicator and apply it to your chart. You can change the length in the settings, but it's optimized for 7 days, so no need to change it.
I've build in alerts for all 4 different volatility periods. In most cases, the low volatility alert is enough.
Good luck!
Fed Projected Interest RatesThis script shows you the current interest rates by the FED (see ZQ symbol nearest expiration)
and the next expirations (see ZQ further expiration dates).
It is important to keep your expiration and descriptions up to date, to do that to the indicator inputs and change as you please.
RS Stage AnalysisThis script trying to detect different lifecycle of stock / Stages.
There is mainly 4 stages of stocks.
1) stage 1 - Accumulation = color = aqua
2) stage 2 - Advancing = color = green
3) stage 3 - Distribution = color = yellow
4) stage 4 - Declining = color = red
At some point the condition i wrote wont detect any stage.
Stan Weinstein Trend IndicatorThis indicator is a trend indicator for trading charts based on the method of Stan Weinstein. It uses various technical methods to identify four trend phases on an asset: consolidation, advancement, plateauing, and decline. Users can customize the indicator by modifying parameters such as the periods for various calculations, such as the exponential moving average (EMA), the relative strength index (RSI), and support and resistance levels. The results of these calculations are then used to determine if an asset is in a phase of consolidation, advancement, plateauing, or decline.
The results are displayed as markers on the chart, with the following colors:
White: Consolidation
Green: Advancement
Blue: Plateauing
Red: Decline
According to the method of Stan Weinstein, it is recommended to buy an asset during an advancement phase and sell it during a plateauing phase. Similarly, it is recommended to sell an asset during a decline phase and cut this sale when the consolidation phase starts. It is important to note that this indicator is for informational purposes only and should not be used as investment advice. It is important to conduct fundamental and technical analysis before making an investment decision. It is also recommended to combine this analysis with other methods for optimal results and to consider the risks associated with any investment.
All default parameters of this indicator have been carefully chosen to provide the best possible results, however, it is possible to modify them according to personal preferences. It is important to note that modifying certain parameters may make the indicator less relevant and it is therefore recommended not to deviate too much from default values, unless you have a good understanding of the Stan Weinstein method and the technical indicators used.
It is important to note that this indicator is optimized for 1-week charts. It can be used to look at charts at other timeframes but calculations will always be based on weekly data.
Also, it is noteworthy that this indicator is optimized for cryptocurrencies, except Bitcoin, as it is used to calculate the relative strength of a token. However, you can choose the asset or index you want in the menu to calculate the relative strength. Furthermore, all the default settings are carefully chosen, but users are free to modify them, but doing so may result in less relevant results.
AlexD Market annual seasonalityThe indicator displays the percentage of bullish days with a given date over several years.
This allows you to determine the days of the year when the price usually goes up or down.
Indicator has a built-in "simple moving average" shifted back by half a period, due to which the delay of this smoothing is removed.
Market StatsIn this exciting new indicator...!
- You are able to select 6 different timeframes: 1 minute, 60 minute, 1 day, weekly, monthly, anything you please!
- With these timeframes, you are able to compare the different tema dema crossing percentages, to know whether the selected or current ticker is in an uptrend or downtrend!
- You are also able to formulate your very own EMA ratios to see in these different timeframes, or use the default, carefully optimized default EMA ratios per timeframe, to ultimately reveal the desired trends and whether these are in your favor for your position!
- Lastly, you have the RSI values at full display, also carefully optimized, for best alignment in indication of the current trend. To top it off, these RSI values are also displayed on the chart as well, should you choose to have it on display.
