forex session - Opening-Range- JayyMy first try on anything forex. Let me know if it needs adjustment.
This is Opening Range for forex
Targets set at 127% , 162%, 200 %, 262 %, 362%, 423%, 685%, 1109% and 1794%
of the selected opening range. You can adjust targets as you like in the dialogue box
362%, 423%, 685%, 1109% and 1794% levels will not show unless selected in the dialogue box.
Check any one (only one) of the time periods to change the opening range period to suit.
New York opens at 8:00 am to 5:00 pm EST (EDT)
Tokyo opens at 7:00 pm to 4:00 am EST (EDT)
Sydney opens at 5:00 pm to 2:00 am EST (EDT)
London opens at 3:00 am to 12:00 noon EST (EDT)
Because the actual forex day starts at 5pm it is not possible to plot some time periods correctly
ie try 120 minutes on the New York session. (Although this is not a problem with the other sessions)
If you keep to an hour or less and use periods that divide evenly into an hour all will be fine. All periods will actually work but will start looking a little funny.
No such problem occurs if you just use 5pm est to 5 pm est. other sessions could be put in as options or hard wired in with a few lines of script changes
There is an option in the dialogue box to display fib targets within Opening Range itself.
In the far past I adapted some original work created by Chris Moody from a 7-07-2014 script - there have been multiple adaptations . The script layout/ structure remains similar and messages regarding targets achieved (lines 224 - 230) are from the original script. In the original Chris gave Special Thanks To "The Coding Genius Behind The Curtain" - so hat tip to both.
Cari dalam skrip untuk "THE SCRIPT"
KK_Price Action Channel (TDI BH)Hey guys,
this little script is an addition to another one I will release right after this.
This is the Price Action Channel. The bands are calculated using a smoothed moving average of the highs/lows. I have taken the smoothed moving average script from the public library in order to create this, so all props to whoever created that one.
I am fairly new to creating scripts so use it with caution and let me know what you think!
EDIT: Here is the script I have written this one for:
Candlestick MathThis is an updated version of my previous post, with the option to specify which symbol you want it to show up on.
This is a script I made to do what is called candlestick math (if you're not sure, Google it). It will take the first open, the last close, and the highest high and lowest low from a range of candlesticks, and plot it on top of the chart.
Unfortunately, there is no way to make it so you can move it with your mouse, and the bar numbering is not the same as the regular drawing tools, so to figure out what the line number is, create a new script with the text:
study("Plot N")
plot(n)
This will create another chart that will show you the bar numbers that correspond to the script's bar numbers. From there, figure out where you want to start the candlestick math, and enter that number in the "Start" field in the inputs for this script.
Candlestick Math(Re-post with better graph)
This is a script I made to do what is called candlestick math (if you're not sure, Google it). It will take the first open, the last close, and the highest high and lowest low from a range of candlesticks, and plot it on top of the chart.
Unfortunately, there is no way to make it so you can move it with your mouse, and the bar numbering is not the same as the regular drawing tools, so to figure out what the line number is, create a new script with the text:
study("Plot N")
plot(n)
This will create another chart that will show you the bar numbers that correspond to the script's bar numbers. From there, figure out where you want to start the candlestick math, and enter that number in the "Start" field in the inputs for this script.
Candlestick MathThis is a script I made to do what is called candlestick math (if you're not sure, Google it). It will take the first open, the last close, and the highest high and lowest low from a range of candlesticks, and plot it on top of the chart.
Unfortunately, there is no way to make it so you can move it with your mouse, and the bar numbering is not the same as the regular drawing tools, so to figure out what the line number is, create a new script with the text:
study("Plot N")
plot(n)
This will create another chart that will show you the bar numbers that correspond to the script's bar numbers. From there, figure out where you want to start the candlestick math, and enter that number in the "Start" field in the inputs for this script.
Wavelet Filter with Adaptive Upsampling [BackQuant]Wavelet Filter with Adaptive Upsampling
The Wavelet Filter with Adaptive Upsampling is an advanced filtering and signal reconstruction tool designed to enhance the analysis of financial time series data. It combines wavelet transforms with adaptive upsampling techniques to filter and reconstruct price data, making it ideal for capturing subtle market movements and enhancing trend detection. This system uses high-pass and low-pass filters to decompose the price series into different frequency components, applying adaptive thresholding to eliminate noise and preserve relevant signal information.
Shout out to Loxx for the Least Squares fitting of trigonometric series and Quinn and Fernandes algorithm for finding frequency
www.tradingview.com
Key Features
1. Frequency Decomposition with High-Pass and Low-Pass Filters:
The indicator decomposes the input time series using high-pass and low-pass filters to separate the high-frequency (detail) and low-frequency (trend) components of the data. This decomposition allows for a more accurate analysis of underlying trends, while mitigating the impact of noise.
2. Soft Thresholding for Noise Reduction:
A soft thresholding function is applied to the high-frequency component, allowing for the reduction of noise while retaining significant market signals. This function adjusts the coefficients of the high-frequency data, removing small fluctuations and leaving only the essential price movements.
3. Adaptive Upsampling Process:
The upsampling process in this script can be customized using different methods: sinusoidal upsampling, advanced upsampling, and simple upsampling. Each method serves a unique purpose:
Sinusoidal Upsample uses a sine wave to interpolate between data points, providing a smooth transition.
Advanced Upsample utilizes a Quinn-Fernandes algorithm to estimate frequency and apply more sophisticated interpolation techniques, adapting to the market’s cyclical behavior.
Simple Upsample linearly interpolates between data points, providing a basic upsampling technique for less complex analysis.
4. Reconstruction of Filtered Signal:
The indicator reconstructs the filtered signal by summing the high and low-frequency components after upsampling. This allows for a detailed yet smooth representation of the original time series, which can be used for analyzing underlying trends in the market.
5. Visualization of Reconstructed Data:
The reconstructed series is plotted, showing how the upsampling and filtering process enhances the clarity of the price movements. Additionally, the script provides the option to visualize the log returns of the reconstructed series as a histogram, with positive returns shown in green and negative returns in red.
6. Cumulative Series and Trend Detection:
A cumulative series is plotted to visualize the compounded effect of the filtered and reconstructed data. This feature helps traders track the overall performance of the asset over time, identifying whether the asset is following a sustained upward or downward trend.
7. Adaptive Thresholding and Noise Estimation:
The system estimates the noise level in the high-frequency component and applies an adaptive thresholding process based on the standard deviation of the downsampled data. This ensures that only significant price movements are retained, further refining the trend analysis.
8. Customizable Parameters for Flexibility:
Users can customize the following parameters to adjust the behavior of the indicator:
Frequency and Phase Shift: Control the periodicity of the wavelet transformation and the phase of the upsampling function.
Upsample Factor: Adjust the level of interpolation applied during the upsampling process.
Smoothing Period: Determine the length of time used to smooth the signal, helping to filter out short-term fluctuations.
References
Enhancing Cross-Sectional Currency Strategies with Context-Aware Learning to Rank
arxiv.org
Daubechies Wavelet - Wikipedia
en.wikipedia.org
Quinn Fernandes Fourier Transform of Filtered Price by Loxx
Note on Usage for Mean-Reversion Strategy
This indicator is primarily designed for trend-following strategies. However, by taking the inverse of the signals, it can be adapted for mean-reversion strategies. This involves buying underperforming assets and selling outperforming ones. Caution: This method may not work effectively with highly correlated assets, as the price movements between correlated assets tend to mirror each other, limiting the effectiveness of mean-reversion strategies.
Final Thoughts
The Wavelet Filter with Adaptive Upsampling is a powerful tool for traders seeking to improve their understanding of market trends and noise. By using advanced wavelet decomposition and adaptive upsampling, this system offers a clearer, more refined picture of price movements, enhancing trend-following strategies. It’s particularly useful for detecting subtle shifts in market momentum and reconstructing price data in a way that removes noise, providing more accurate insights into market conditions.
Levels & Flow📌 Overview
Levels & Flow is a visual trading tool that combines daily pivot levels with a dynamic EMA ribbon to help traders identify structure, momentum, and key decision zones in the market.
This script is designed for discretionary traders who rely on clean visual cues for intraday and swing trading strategies.
⚙️ Key Features
Daily Pivot, Support, and Resistance Lines
Automatically plots the daily pivot level based on the previous day’s OHLC data, along with calculated support and resistance levels.
Fibonacci Retracement Levels
Two dashed lines above and below the pivot represent the retracement of the pivot-resistance and pivot-support range, forming the boundaries of the “no-trade zone.”
No-Trade Zone (Shaded Box)
A gray shaded box between the two Fibonacci levels to visually mark a high-chop/low-conviction zone.
Trend-Based Candle Coloring (Current Day Only)
Candles are colored green if the close is above the pivot, red if below (only on the current trading day).
Bullish/Bearish Trend Label
A small table in the bottom-right corner displays “Bullish” or “Bearish” depending on whether price is above or below the pivot.
20-EMA Gradient Ribbon
A stack of 20 EMAs, each smoothed and color-coded from blue to green to reflect short- to long-term trend alignment.
Cumulative EMA with Adaptive Weighting
An intelligent moving average line that adjusts weight distribution among the 20 EMAs based on recent predictive accuracy using a learning rate and lookback period.
🧠 How It Works
📍 Levels
The script calculates daily pivot, resistance, and support levels using standard formulas:
Pivot = (High + Low + Close) / 3
Resistance = (2 × Pivot) – Low
Support = (2 × Pivot) – High
These levels update each day and extend 143 bars to the right.
📏 Fib Lines
Fib Up = Pivot + (Resistance – Pivot) × 0.382
Fib Down = Pivot – (Pivot – Support) × 0.382
These lines form the “no-trade zone” box.
📈 EMA Ribbon
20 EMAs starting from the user-defined Base Length, each incremented by 1
Each EMA is smoothed using the Smoothing Period
Color-coded from blue to green for intuitive visual flow
Filled between EMAs to visualize trend strength and alignment
🧠 Cumulative EMA Learning
Each EMA’s historical error is calculated over a Lookback Period
Lower-error EMAs receive higher weight; weights are normalized to sum to 1
The result is a cumulative EMA that adapts based on historical predictive power
🔧 User Inputs
Input
Base EMA Length: Sets the period for the shortest EMA (default: 20)
Smoothing Period: Smooths all EMAs and the cumulative EMA
Lookback for Learning: Number of bars to evaluate EMA prediction accuracy
Learning Rate: Adjusts how quickly weights shift in favor of more accurate EMAs
✅ How to Use It
Use the pivot level to define directional bias.
Watch for price breakouts above resistance or breakdowns below support to consider entry.
Avoid trading inside the shaded zone, where direction is less reliable.
Use the EMA ribbon gradient to confirm short/long alignment.
The cumulative EMA helps define trend with noise reduction.
🧪 Best For
Intraday traders who want to blend structure with flow
Swing traders needing clean daily levels with dynamic confirmation
Anyone looking to avoid choppy zones and improve visual clarity
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Always test scripts in simulation or on demo accounts before live use. Use at your own risk.
Liquidity Levels (Smart Swing Lows)Liquidity Levels — Smart Swing Low Detection
Efficient Liquidity Sweep Visualization for Smart Money Traders
This script automatically identifies and plots liquidity-rich swing lows based on pivot logic, filters them to remove redundant levels, and overlays daily highs/lows for added context — giving Smart Money Concept (SMC) traders a clean, actionable map of liquidity.
It’s designed to be minimal yet powerful: perfect for spotting potential liquidity grabs, mitigation zones, and sweep targets with zero chart clutter.
🔍 What This Script Does:
Detects Smart Swing Lows
Uses fixed pivot detection (left = 3, right = customizable) to identify structurally significant swing lows.
Filters out swing lows that are too close together using a percentage-based spacing threshold to reduce noise.
Mitigation Cleanup Logic
Tracks whether recent price action breaches past swing lows.
If breached, the swing level is automatically removed, keeping only relevant, unmitigated liquidity levels on your chart.
Plots Daily Highs and Lows
Each new trading day, horizontal rays mark the prior day’s high and low — useful for identifying resting liquidity and possible sweep zones.
Labeling and Style Customization
Optional labels for swing lows.
Full control over label size, color, and visibility to match any chart aesthetic.
Timeframe Filtering
Runs exclusively on 5m, 10m, and 15m charts to ensure optimal reliability and signal clarity.
⚙️ Customization Features:
Pivot sensitivity (Right side control)
Minimum distance between swing lows (in %)
Label visibility, size, and color
Line width and colors for both swing levels and daily highs/lows
Mitigation cleanup lookback length
💡 How to Use:
Add the script to a qualifying intraday chart (5–15m).
Use the swing low levels to monitor liquidity-rich zones.
Combine with your personal strategy to identify liquidity grabs, potential reversal zones, or entry points following a sweep.
Let the built-in cleanup logic remove any already-mitigated levels so you can focus on active targets.
🚀 What Makes It Unique:
This isn’t just another pivot plotter — it’s a smart, self-cleaning SMC tool designed for modern liquidity-based trading strategies.
A must-have for traders using concepts like liquidity grabs, mitigation blocks, or sweep-to-reverse trade models.
🔗 Best used in combination with:
✅ First FVG — Opening Range Fair Value Gap Detector: Pinpoint the day’s first imbalance zone for intraday setups.
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels: Confluence-based entries powered by liquidity logic, order blocks, and premium/discount zones.
Used together, these scripts form a complete Smart Money toolkit — helping you build high-probability setups with confidence, clarity, and clean charts.
Smart Range Breakout - SwiftEdgeDescription:
The "Smart Range Breakout - SwiftEdge" indicator is a custom tool designed for identifying potential breakout opportunities on a 1-minute chart, with a focus on volatile markets like the DAX index. This script introduces a unique approach by combining range consolidation detection with volume confirmation and breakout validation, tailored for short-term trading strategies.
How It Works:
The indicator identifies consolidation periods where the price range (difference between the highest high and lowest low over a user-defined length) is below a multiple of the Average True Range (ATR). This helps detect periods of low volatility, which often precede breakouts.
Once a consolidation is confirmed (minimum number of bars), a green box is drawn on the chart, spanning a fixed length of bars (default 50), representing the potential breakout zone.
Breakouts are signaled only when a candle opens above the upper boundary (box top) or below the lower boundary (box bottom) of the consolidation box, ensuring a clear entry point based on price action at the open.
The script includes a volume filter, requiring volume to exceed a moving average by a specified multiplier, and a confirmation period to validate the breakout over consecutive bars.
To avoid signal clutter, only one breakout signal (up or down) is generated per box, and no further signals are issued until a new consolidation box is formed.
How to Use:
Apply the indicator to a 1-minute chart (optimized for DAX or similar volatile indices).
Adjust the "Consolidation Length" (default 5) to set the lookback period for detecting consolidation.
Modify the "Range Threshold (ATR Multiplier)" (default 2.0) to make the consolidation detection more or less strict based on market volatility.
Use "Minimum Consolidation Bars" (default 2) to set the minimum duration of a consolidation phase.
Tune "Confirmation Bars" (default 1) to require more bars to confirm the breakout.
Set "Volume MA Length" (default 5) and "Volume Multiplier" (default 1.1) to filter breakouts with insufficient volume.
Adjust "Max Box Length" (default 50) to control the duration of the breakout zone on the chart.
Look for green triangles below the chart for bullish breakouts and red triangles above for bearish breakouts, occurring when a candle opens outside the box with confirmed volume.
Originality:
This script stands out by integrating a fixed-length consolidation box with an opening-price breakout condition, combined with volume and multi-bar confirmation. Unlike traditional breakout indicators that rely solely on closing prices or simple price thresholds, this approach prioritizes the opening price and limits signals to one per cycle, reducing noise in volatile markets.
Chart Notes:
The accompanying chart displays the indicator's output with green boxes indicating consolidation zones, yellow dots marking consolidation periods, and green/red triangles for breakout signals. No additional scripts or unrelated drawings are included to ensure clarity.
*Auto Backtest & Optimize EngineFull-featured Engine for Automatic Backtesting and parameter optimization. Allows you to test millions of different combinations of stop-loss and take profit parameters, including on any connected indicators.
⭕️ Key Futures
Quickly identify the optimal parameters for your strategy.
Automatically generate and test thousands of parameter combinations.
A simple Genetic Algorithm for result selection.
Saves time on manual testing of multiple parameters.
Detailed analysis, sorting, filtering and statistics of results.
Detailed control panel with many tooltips.
Display of key metrics: Profit, Win Rate, etc..
Comprehensive Strategy Score calculation.
In-depth analysis of the performance of different types of stop-losses.
Possibility to use to calculate the best Stop-Take parameters for your position.
Ability to test your own functions and signals.
Customizable visualization of results.
Flexible Stop-Loss Settings:
• Auto ━ Allows you to test all types of Stop Losses at once(listed below).
• S.VOLATY ━ Static stop based on volatility (Fixed, ATR, STDEV).
• Trailing ━ Classic trailing stop following the price.
• Fast Trail ━ Accelerated trailing stop that reacts faster to price movements.
• Volatility ━ Dynamic stop based on volatility indicators.
• Chandelier ━ Stop based on price extremes.
• Activator ━ Dynamic stop based on SAR.
• MA ━ Stop based on moving averages (9 different types).
• SAR ━ Parabolic SAR (Stop and Reverse).
Advanced Take-Profit Options:
• R:R: Risk/Reward ━ sets TP based on SL size.
• T.VOLATY ━ Calculation based on volatility indicators (Fixed, ATR, STDEV).
Testing Modes:
• Stops ━ Cyclical stop-loss testing
• Pivot Point Example ━ Example of using pivot points
• External Example ━ Built-in example how test functions with different parameters
• External Signal ━ Using external signals
⭕️ Usage
━ First Steps:
When opening, select any point on the chart. It will not affect anything until you turn on Manual Start mode (more on this below).
The chart will immediately show the best results of the default Auto mode. You can switch Part's to try to find even better results in the table.
Now you can display any result from the table on the chart by entering its ID in the settings.
Repeat steps 3-4 until you determine which type of Stop Loss you like best. Then set it in the settings instead of Auto mode.
* Example: I flipped through 14 parts before I liked the first result and entered its ID so I could visually evaluate it on the chart.
Then select the stop loss type, choose it in place of Auto mode and repeat steps 3-4 or immediately follow the recommendations of the algorithm.
Now the Genetic Algorithm at the bottom right will prompt you to enter the Parameters you need to search for and select even better results.
Parameters must be entered All at once before they are updated. Enter recommendations strictly in fields with the same names.
Repeat steps 5-6 until there are approximately 10 Part's left or as you like. And after that, easily pour through the remaining Parts and select the best parameters.
━ Example of the finished result.
━ Example of use with Takes
You can also test at the same time along with Take Profit. In this example, I simply enabled Risk/Reward mode and immediately specified in the TP field Maximum RR, Minimum RR and Step. So in this example I can test (3-1) / 0.1 = 20 Takes of different sizes. There are additional tips in the settings.
━
* Soon you will start to understand how the system works and things will become much easier.
* If something doesn't work, just reset the engine settings and start over again.
* Use the tips I have left in the settings and on the Panel.
━ Details:
Sort ━ Sorting results by Score, Profit, Trades, etc..
Filter ━ Filtring results by Score, Profit, Trades, etc..
Trade Type ━ Ability to disable Long\Short but only from statistics.
BackWin ━ Backtest Window Number of Candle the script can test.
Manual Start ━ Enabling it will allow you to call a Stop from a selected point. which you selected when you started the engine.
* If you have a real open position then this mode can help to save good Stop\Take for it.
1 - 9 Сheckboxs ━ Allow you to disable any stop from Auto mode.
Ex Source - Allow you to test Stops/Takes from connected indicators.
Connection guide:
//@version=6
indicator("My script")
rsi = ta.rsi(close, 14)
buy = not na(rsi) and ta.crossover (rsi, 40) // OS = 40
sell = not na(rsi) and ta.crossunder(rsi, 60) // OB = 60
Signal = buy ? +1 : sell ? -1 : 0
plot(Signal, "🔌Connector🔌", display = display.none)
* Format the signal for your indicator in a similar style and then select it in Ex Source.
⭕️ How it Works
Hypothesis of Uniform Distribution of Rare Elements After Mixing.
'This hypothesis states that if an array of N elements contains K valid elements, then after mixing, these valid elements will be approximately uniformly distributed.'
'This means that in a random sample of k elements, the proportion of valid elements should closely match their proportion in the original array, with some random variation.'
'According to the central limit theorem, repeated sampling will result in an average count of valid elements following a normal distribution.'
'This supports the assumption that the valid elements are evenly spread across the array.'
'To test this hypothesis, we can conduct an experiment:'
'Create an array of 1,000,000 elements.'
'Select 1,000 random elements (1%) for validation.'
'Shuffle the array and divide it into groups of 1,000 elements.'
'If the hypothesis holds, each group should contain, on average, 1~ valid element, with minor variations.'
* I'd like to attach more details to My hypothesis but it won't be very relevant here. Since this is a whole separate topic, I will leave the minimum part for understanding the engine.
Practical Application
To apply this hypothesis, I needed a way to generate and thoroughly mix numerous possible combinations. Within Pine, generating over 100,000 combinations presents significant challenges, and storing millions of combinations requires excessive resources.
I developed an efficient mechanism that generates combinations in random order to address these limitations. While conventional methods often produce duplicates or require generating a complete list first, my approach guarantees that the first 10% of possible combinations are both unique and well-distributed. Based on my hypothesis, this sampling is sufficient to determine optimal testing parameters.
Most generators and randomizers fail to accommodate both my hypothesis and Pine's constraints. My solution utilizes a simple Linear Congruential Generator (LCG) for pseudo-randomization, enhanced with prime numbers to increase entropy during generation. I pre-generate the entire parameter range and then apply systematic mixing. This approach, combined with a hybrid combinatorial array-filling technique with linear distribution, delivers excellent generation quality.
My engine can efficiently generate and verify 300 unique combinations per batch. Based on the above, to determine optimal values, only 10-20 Parts need to be manually scrolled through to find the appropriate value or range, eliminating the need for exhaustive testing of millions of parameter combinations.
For the Score statistic I applied all the same, generated a range of Weights, distributed them randomly for each type of statistic to avoid manual distribution.
Score ━ based on Trade, Profit, WinRate, Profit Factor, Drawdown, Sharpe & Sortino & Omega & Calmar Ratio.
⭕️ Notes
For attentive users, a little tricks :)
To save time, switch parts every 3 seconds without waiting for it to load. After 10-20 parts, stop and wait for loading. If the pause is correct, you can switch between the rest of the parts without loading, as they will be cached. This used to work without having to wait for a pause, but now it does slower. This will save a lot of time if you are going to do a deeper backtest.
Sometimes you'll get the error “The scripts take too long to execute.”
For a quick fix you just need to switch the TF or Ticker back and forth and most likely everything will load.
The error appears because of problems on the side of the site because the engine is very heavy. It can also appear if you set too long a period for testing in BackWin or use a heavy indicator for testing.
Manual Start - Allow you to Start you Result from any point. Which in turn can help you choose a good stop-stick for your real position.
* It took me half a year from idea to current realization. This seems to be one of the few ways to build something automatic in backtest format and in this particular Pine environment. There are already better projects in other languages, and they are created much easier and faster because there are no limitations except for personal PC. If you see solutions to improve this system I would be glad if you share the code. At the moment I am tired and will continue him not soon.
Also You can use my previosly big Backtest project with more manual settings(updated soon)
On-Chain Analysis [LuxAlgo]The On-Chain Analysis tool offers a comprehensive overview of essential on-chain metrics, enabling traders and investors to grasp the underlying activity and sentiment within the cryptocurrency market. By integrating metrics like wallet profitability, exchange flows, on-chain volume, social sentiment, and more into your charts, users can gain valuable insights into cryptocurrency network behavior, spot emerging trends, and better manage risk in the cryptocurrency market.
🔶 USAGE
🔹 On-Chain Analysis
When analyzing cryptocurrencies, several fundamental metrics are crucial for assessing the value and potential of a digital asset. This indicator is designed to help traders and analysts evaluate the markets by utilizing various data gathered directly from the blockchain. The gathered on-chain data includes wallet profitability, exchange flows, miner flows, on-chain volume, large buyers/sellers, market capitalization, market dominance, active addresses, total value locked (TVL), market value to realized value (MVRV), developer activity, social sentiment, holder behavior, and balance types.
Use wallet profitability and social sentiment metrics to gauge the overall mood of the market, helping to anticipate potential buying or selling pressure.
On-chain volume and active addresses provide insights into how actively a cryptocurrency is being used, indicating network health and adoption levels.
By tracking exchange flows and holder balance types, you can identify significant moves by whales or institutions, which may signal upcoming price shifts.
Market capitalization and miner flows give you an understanding of the supply side of the market, aiding in evaluating whether an asset is overvalued or undervalued.
The distribution of holdings among retail investors, whales, and institutional groups can greatly influence market dynamics. A large concentration of holdings by whales may indicate the potential for significant price swings, given their capacity to execute substantial trades. A higher proportion of institutional investors often suggests confidence in the asset's long-term potential, as these entities typically conduct thorough research before investing. While retail participation indicates broader adoption, it also introduces higher volatility, as these investors tend to be more reactive to market fluctuations.
Understanding the balance and behavior of short-term traders, mid-term cruisers, and long-term hodlers helps traders and analysts predict market trends and assess the underlying confidence in a particular cryptocurrency.
🔶 DETAILS
This script includes some of the most significant and insightful metrics in the crypto space, designed to evaluate and enhance trading decisions by assessing the value and growth potential of cryptocurrencies. The introduced metrics are:
🔹 Wallet Profitability
Definition: Represents the percentage distribution of addresses by profitability at the current price.
Importance: Indicates potential selling pressure or reduced selling pressure based on whether addresses are in profit or loss.
🔹 Exchange Flow
Definition: The total amount of a cryptocurrency moving in and out of exchanges.
Importance: Large inflows to exchanges can indicate potential selling pressure, while large outflows might suggest accumulation or long-term holding.
🔹 Miner Flow
Definition: Tracks the inflow and outflow of funds by miners.
Importance: High inflows could indicate selling pressure, whereas low inflows or outflows might reflect miner confidence.
🔹 On-Chain Volume
Definition: The total value of transactions conducted on a blockchain within a specific period.
Importance: On-chain volume reflects actual usage of the network, indicating how actively a cryptocurrency is being utilized for transactions.
🔹 Large Buyers/Sellers
Definition: Tracks the number of large buyers (bulls) and sellers (bears) based on transaction volume.
Importance: Comparing the number of large buyers (bulls) to large sellers (bears) helps gauge market trends and sentiment.
🔹 Market Capitalization
Definition: The total value of a cryptocurrency's circulating supply, calculated by multiplying the current price by the total supply.
Importance: Market cap is a key indicator of a cryptocurrency’s size and market dominance. It helps compare the relative size of different cryptocurrencies.
🔹 Market Dominance
Definition: Market dominance represents a cryptocurrency’s share of the total market capitalization of all cryptocurrencies. It is calculated by dividing the market cap of the cryptocurrency by the total market cap of the cryptocurrency market.
Importance: Market dominance is a crucial indicator of a cryptocurrency's influence and relative position in the market. It helps assess the strength of a cryptocurrency compared to others and provides insights into its market presence and potential influence.
Special Consideration: Since BTC and ETH dominance is relatively high compared to other cryptocurrencies, specific adjustments are made during the presentation of values and charts. When analyzing BTC, the total market capitalization is used. For ETH analysis, BTC is excluded from the total market cap. For any other cryptocurrency besides BTC and ETH, both BTC and ETH are excluded from the total market cap to provide a more accurate view.
🔹 Active Addresses
Definition: The number of unique addresses involved in transactions within a specific period.
Importance: A higher number of active addresses suggests greater network activity and user adoption, which can be a sign of a healthy ecosystem.
🔹 Total Value Locked (TVL)
Definition: The total value of assets locked in a decentralized finance (DeFi) protocol.
Importance: TVL is a key metric for DeFi platforms, indicating the level of trust and the amount of liquidity in a protocol.
🔹 Market Value to Realized Value (MVRV)
Definition: A ratio comparing the market cap to realized cap.
Importance: A high ratio may indicate overvaluation (potential selling), while a low ratio could signal undervaluation (potential buying).
🔹 Developer Activity
Definition: The level of activity on a cryptocurrency’s public repositories (e.g., GitHub).
Importance: Strong developer activity is a sign of ongoing innovation, updates, and a healthy project.
🔹 Social Sentiment
Definition: The general sentiment or mood of the community and investors as expressed on social media and forums.
Importance: Positive sentiment often correlates with price increases, while negative sentiment can signal potential downtrends.
🔹 Holder Balance (Behavior)
Definition: Distribution of addresses by holding behavior: Traders (short-term), Cruisers (mid-term), and Hodlers (long-term).
Importance: Helps predict market behavior based on different holder types.
🔹 Holder Balance (Type)
Definition: Distribution of cryptocurrency holdings among Retail (small holders), Whales (large holders), and Investors (institutional players).
Importance: Assesses the potential impact of different user groups on the market. A more decentralized distribution is generally viewed as positive, reducing the risk of price manipulation by large holders.
These metrics provide a comprehensive view of a cryptocurrency’s health, adoption, and potential for growth, making them essential for fundamental analysis in the crypto space.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 On-Chain Analysis
On-Chain Data: Choose the specific on-chain metric from the drop-down menu. Options include Wallet Profitability, Exchange Flow, Miner Flow, On-Chain Volume, Large Buyers/Sellers (Volume), Market Capitalization, Market Dominance, Active Addresses, Total Value Locked, Market Value to Realized Value, Developer Activity, Social Sentiment, Holder Balance (Behavior), and Holder Balance (Type).
Smoothing: Set the smoothing level to refine the displayed data. This can help in filtering out noise and getting a clearer view of trends.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) and the length of the moving average for signal line calculation.
🔹 On-Chain Dashboard
On-Chain Stats: Toggle the display of the on-chain statistics.
Dashboard Size, Position, and Colors: Customize the size, position, and colors of the on-chain dashboard on the chart.
🔶 LIMITATIONS
Availability of on-chain data may vary and may not be accessible for all crypto assets.
🔶 RELATED SCRIPTS
Market-Sentiment-Technicals
ORB Screener with Trailing SLThis is an extension to our already published script ORB with ATR Trailing SL indicator
Many people requested to add screener to the existing indicator but since it's slowing down the performance heavily, we decided to add this as a separate screener.
Note: This screener does NOT plot the chart and so you want to have both plotting and screener, use both scripts together.
Overview:
The ORB Screener is a TradingView indicator designed to assist traders in identifying breakout opportunities based on the Opening Range Breakout (ORB) strategy. It features multi-symbol screening, customizable session timeframes, and a detailed table for quick visual reference and stock scanning.
The ORB Screener utilizes the ORB strategy to calculate breakout levels for multiple symbols. It identifies the high and low during a specified session (e.g., first 5 minutes after market open) and provides insights on whether the price is above the high (bullish), below the low (bearish), or between the range (neutral).
Additionally, the script calculates and displays the RSI values for each symbol, aiding traders in assessing momentum alongside breakout status.
Note: One can add up to 40 symbols for screening the stocks.
Key Features and Inputs:
ORB Session Time: Define a specific timeframe (e.g., "0915-0920") during which the ORB high and low are calculated. This serves as the foundation for identifying breakouts.
Multi-Symbol Screening: Screen up to 40 symbols at once, enabling you to monitor multiple opportunities without switching charts.
Breakout Validation:
Select from two methods for confirming a breakout: Close (based on closing prices) or Touch (based on intraday highs/lows).
Breakout Status Indicators:
Above High: Indicates a current bullish breakout when the price exceeds the ORB high.
Below Low: Indicates a current bearish breakout when the price falls below the ORB low.
Between Range: Indicates no breakout (price remains within the range).
RSI Integration : Calculates the RSI for each symbol to help traders evaluate momentum alongside breakout signals.
Customizable Table Display:
Position: Place the data table at the top, middle, or bottom of the chart and align it left, center, or right.
Size: Choose from multiple table size options for optimal visibility (Auto, Huge, Large, Normal, Small, Tiny).
Visual Feedback:
Green Background: Indicates a breakout happened at least once above the ORB high.
Red Background: Indicates a breakout happened at least once below the ORB low.
Gray Background: Indicates price is within the ORB range.
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity.
The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity.
🔶 USAGE
The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below.
🔹 Money Flow Profile
The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance.
The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period.
A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow.
🔹 Delta Profile
The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals.
Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward.
The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results.
🔹 Level of Significance
Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included:
Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval.
Level: Show the price level with the highest recorded money flow activity.
Row: Show the price zone with the highest recorded money flow activity.
These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Calculation Settings
Money Flow Profile: Toggles the visibility of the Money Flow Profile.
Normalized: Toggles the visibility of the Normalized Profile.
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile.
Level of Significance: Toggles the visibility of the level of significance line/zone.
Lookback Length / Fixed Range: Sets the lookback length.
Number of Rows: Specify how many rows each profile histogram will have.
🔹 Display Settings
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length.
Profile Horizontal Offset: Enables moving the profile on the horizontal axis.
Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits.
Currency: Extends the profile text with the traded currency.
Profile Price Levels: Toggles the visibility of the profile price levels.
🔶 RELATED SCRIPTS
Money-Flow-Profile
Volume-Profile-with-Node-Detection
Market Structure Oscillator [LuxAlgo]The Market Structure Oscillator indicator analyzes and synthesizes short-term, intermediate-term, and long-term market structure shifts and breaks, visualizing the output as oscillators and graphical representations of real-time market structures on the main price chart.
The oscillator presentation of the detected market structures helps traders visualize trend momentum and strength, identifying potential trend reversals, and providing different perspectives to enhance the analysis of classic market structures.
🔶 USAGE
A market structure shift signals a potential change in market sentiment or direction, while a break of structure indicates a continuation of the current trend. Detecting these events in real-time helps traders recognize both trend changes and continuations. The market structure oscillator translates these concepts visually, offering deeper insights into market momentum and strength. It aids traders in identifying overbought or oversold conditions, potential trend reversals, and confirming trend direction.
Oscillators often generate signals based on crossing certain thresholds or diverging from price movements, providing cues for traders to enter or exit positions.
The weights determine the influence of each period (short-term, intermediate-term, long-term) on the final oscillator value. By changing the weights, traders can emphasize or de-emphasize the importance of each period. Higher weights increase their respective market structure's influence on the oscillator value. For example, if the weight for the short-term period is set to 0, the final value of the oscillator will be calculated using only the intermediate-term and long-term market structures.
The indicator features a Cycle Oscillator component, which uses the market structure oscillator values to generate a histogram and provide further insights into market cycles and potential signals. The Cycle Oscillator aids in timing by allowing traders to more easily see the median length of an oscillation around the average point, helping them identify both favorable prices and favorable moments for trading.
Users can also display detected market structures on the price chart by enabling the corresponding market structure toggle from the "Market Structures on Chart" settings group.
🔶 DETAILS
The script initiates its analysis by detecting swing levels, which form the fundamental basis for its operations. It begins by identifying short-term swing points, automatically detected solely based on market movements without any reliance on user-defined input. Short-Term Swing Highs (STH) are peaks in price surrounded by lower highs on both sides, while Short-Term Swing Lows (STL) are troughs surrounded by higher lows.
To identify intermediate-term and long-term swing points, the script uses previously detected short-term swing points as reference points. It examines these points to determine intermediate-term swings and further analyzes intermediate-term swings to identify long-term swing points. This method ensures a thorough and unbiased evaluation of market dynamics, providing traders with reliable insights into market structures.
Once swing levels are detected, the process continues with the analysis of Market Structure Shifts (MSS) and Breaks of Structure (BoS). A Market Structure Shift, also known as a Change of Character (CHoCH), is a critical event in price action analysis that suggests a potential shift in market sentiment or direction. It occurs when the price reverses from an established trend, indicating that the current trend may be losing momentum and a reversal could be imminent.
On the other hand, a Break of Structure signifies the continuation of the existing market trend. This event occurs when the price decisively moves beyond a previous swing high or low, confirming the strength and persistence of the prevailing trend.
The indicator analyzes price patterns using a pure price action approach and identifies market structures for short-term, intermediate-term, and long-term periods. The collected data is then normalized and combined using specified weights to calculate the final Market Structure Oscillator value.
🔶 SETTINGS
The indicator incorporates user-defined settings, allowing users to tailor it according to their preferences and trading strategies.
🔹 Market Structure Oscillator
Market Structure Oscillator: Toggles the visibility of the market structures oscillator.
Short Term Weight: Defines the weight for the short-term market structure.
Intermediate Term Weight: Defines the weight for the intermediate-term market structure.
Long Term Weight: Defines the weight for the long-term market structure.
Oscillator Smoothing: Determines the smoothing factor for the oscillator.
Gradient Colors: Allows customization of bullish and bearish gradient colors.
Market Structure Oscillator Crosses: Provides signals based on market structure oscillator equilibrium level crosses.
🔹 Cycle Oscillator
Cycle Oscillator - Histogram: Toggles the visibility of the cycle oscillator.
Cycle Signal Length: Defines the length of the cycle signal.
Cycle Oscillator Crosses: Provides signals based on cycle oscillator crosses.
🔹 Market Structures on Chart
Market Structures: Allows plotting of market structures (short, intermediate, and long term) on the chart.
Line, Label, and Color: Options to display lines and labels for different market structures with customizable colors.
🔹 Oscillator Components
Oscillators: Separately plots short-term, intermediate-term, and long-term oscillators. Provides options to display these oscillators with customizable colors.
🔶 RELATED SCRIPTS
Market-Structures-(Intrabar)
The Strat with TFC & Combo DashIntroduction:
This indicator is designed to implement "The Strat" trading strategy combined with a Timeframe Continuity Dashboard and Combo Dashboard. The Strat is a robust trading methodology that relies on price action and candlestick formations to make trading decisions. This script helps traders to identify specific bar types such as Inside Bars (1), Continuation Up Bars (2u), Continuation Down Bars (2d), and Outside Bars (3) across multiple timeframes. It visually highlights these bar types on the chart and provides a comprehensive dashboard displaying the current state of the selected timeframes.
Key Features:
Timeframe Continuity Dashboard: Displays arrows and bar types for up to four selected timeframes.
Strat Combos Dashboard: Shows the previous and current bar types to easily spot trading setups.
Customizable Colors and Labels: Options to personalize the colors and labels for Inside and Outside bars.
Adjustable Dashboard Position and Size: Allows users to set the location and size of the dashboard for better visual alignment.
Inputs:
TFC & Combo Dash Configuration:
Show TFC & Combo Dashboard: Toggle to display the dashboard.
Show Strat Combos: Toggle to display Strat combo setups.
Location: Dropdown to select the position of the dashboard on the chart.
Size: Dropdown to choose between desktop and mobile view.
Timeframe Selection:
Timeframe 1: Primary timeframe for analysis.
Timeframe 2: Secondary timeframe for analysis.
Timeframe 3: Tertiary timeframe for analysis.
Timeframe 4: Quaternary timeframe for analysis.
Candle Visuals:
Show Inside Bar Label: Option to show label instead of color for Inside bars.
Inside Bar Color: Color picker for Inside bars.
Show Outside Bar Label: Option to show label instead of color for Outside bars.
Outside Bar Color: Color picker for Outside bars.
TFC & Combo DashboardFunctions:
The script fetches values for the selected timeframes and computes the bar types and corresponding visual elements such as arrows and background colors. The dashboard displays this information in a tabular format for easy reference during trading.
The dashboard is dynamically created based on user input for position and size. It shows the selected timeframes, bar types, and combo setups, providing a quick overview of the market conditions across multiple timeframes.
Timeframes: Displays the four user chosen timeframes that the dashboard fetches data from.
Arrow and Color: Functions to set the arrow direction and color based on current bar action. Green and up arrow: price is above it's candle open.
Red and down arrow: price is below it's candles open.
Background Color: Functions to set background color based on the bar type. White for an outside bar(3), yellow for an inside bar(1), no color for a continuation bar(2).
Strat Candle Combos: Functions to determine if the bar is an Inside(1), Continuation Up(2u), Continuation Down(2d), or Outside bar(3). Shows the previous bar and the current bar for the user's chosen timeframes.
Candle Visuals:
The script plots labels and colors for Inside and Outside bars based on user preferences. It helps in quickly identifying potential trading setups on the chart.
Conclusion:
We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The Strat with TFC & Combo Dashboard is a tool to assist traders in identifying potential trading setups based on The Strat methodology; to suit the users needs and trading style.
RISK DISCLAIMER
All content, tools, scripts & education provided by Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Pure Price Action Structures [LuxAlgo]The Pure Price Action Structures indicator is a pure price action analysis tool designed to automatically identify real-time market structures.
The indicator identifies short-term, intermediate-term, and long-term swing highs and lows, forming the foundation for real-time detection of shifts and breaks in market structure.
Its distinctive/unique feature lies in its reliance solely on price patterns, without being limited by any user-defined input, ensuring a robust and objective analysis of market dynamics.
🔶 USAGE
Market structure is a crucial aspect of understanding price action. The script automatically identifies real-time market structure, enabling traders to comprehend market trends more easily. It assists traders in recognizing both trend changes and continuations.
Market structures are constructed from three sets of swing points, short-term swings, intermediary swings, and long-term swings. Market structures associated with longer-term swing points are indicative of longer-term trends.
A market structure shift (MSS), also known as a change of character (CHoCH), is a significant event in price action analysis that may signal a potential shift in market sentiment or direction. Conversely, a break of structure (BOS) is another significant event in price action analysis that typically indicates a continuation of the prevailing trend.
However, it's important to note that while an MSS can be the first indication of a trend reversal and a BOS signifies a continuation of the prevailing trend, they do not guarantee a complete reversal or continuation of the trend.
In some cases, MSS and BOS levels may also act as liquidity zones or areas of price consolidation, rather than indicating a definitive change in market direction or continuation. Traders should approach them with caution and consider additional factors to confirm the validity of the signal before making trading decisions.
🔶 DETAILS
🔹 Market Structures
Market structures are based on the analysis of price action and aim to identify key levels and patterns in the market, where swing point detection is one of the core concepts within ICT trading methodologies and teachings.
Swing points are automatically detected solely based on market movements, without any reliance on user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real time as they occur. While short-term swing points may be displayed with a delay of at most one bar, the identification of intermediate and long-term swing points depends entirely on market movements. Furthermore, detection is not limited by any user-defined input but relies solely on pure price action. Consequently, swing points are not typically utilized in real-time trading scenarios.
Traders often analyze historical swing points to discern market trends and pinpoint potential entry and exit points for their trades. By identifying swing highs and lows, traders can:
Recognize Trends: Swing highs and lows help traders identify the direction of the trend. Higher swing highs and higher swing lows indicate an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often serve as resistance levels, known in ICT terminology as Buyside Liquidity Levels, while swing lows function as support levels, also referred to in ICT terminology as Sellside Liquidity Levels. Traders can utilize these levels to strategize entry and exit points for their trades.
Spot Reversal Patterns: Swing points can form various reversal patterns, such as double tops or bottoms, head and shoulders patterns, and triangles. Recognizing these patterns can signal potential trend reversals, allowing traders to adjust their strategies accordingly.
Set Stop Loss and Take Profit Levels: In the context of ICT teachings, swing levels represent specific price levels where a concentration of buy or sell orders is anticipated. Traders can target these liquidity levels/pools to accumulate or distribute their positions, essentially using swing points to establish stop loss and take profit levels for their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔶 SETTINGS
🔹 Structures
Swings and Size: Toggles the visibility of the structure's highs and lows, assigns an icon corresponding to the structures, and controls the size of the icons.
Market Structures: Toggles the visibility of the market structures.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style and Width: Customizes the style and width of the lines representing the market structure.
Swing and Line Colors: Customizes colors for the icons representing highs and lows, and the lines and labels representing the market structure.
🔶 RELATED SCRIPTS
Market-Structures-(Intrabar).
Buyside-Sellside-Liquidity.
