Delta Volume-ATR ChangeDelta Volume-ATR Change Indicator
The Delta Volume-ATR Change Indicator is designed to analyze the effectiveness of volume in relation to price volatility by comparing the percentage change in volume with the percentage change in ATR over the last two bars. This indicator provides insights into how volume changes impact price movement, allowing traders to gauge the strength or weakness of market momentum based on volume efficiency.
Formula:
% Volume Change = (Volume - Volume ) / Volume * 100
% ATR Change = (ATR - ATR ) / ATR * 100
Delta = % Volume Change - % ATR Change
The result, Delta, shows the difference between the volume change and ATR change, with positive delta indicating a stronger volume impact and negative delta suggesting weaker volume support relative to price movement.
Features:
Multiple Display Styles: Choose from three visualization styles — Histogram, Line, or Columns — to display delta values in a way that best fits your analysis style.
Delta Smoothing: The smoothed Delta line (using an SMA with customizable length) provides a clearer trend of volume efficiency over time.
Color Coding: Delta bars change color based on direction — green for positive values and red for negative, allowing for quick visual assessment of volume effectiveness.
Applications:
Identify market conditions where high volume is driving price effectively (positive Delta).
Detect instances of low volume efficiency, where price changes may not be fully supported by volume (negative Delta).
Useful for short-term and swing traders looking to understand volume patterns in relation to volatility.
This indicator is a valuable tool for traders seeking to gain insights into volume and volatility interplay, helping improve timing and reliability in market entries and exits.
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Price and OI ChangePrice and OI Change
Description:
The "Price and OI Change" indicator provides insights into market dynamics by analyzing the price and open interest (OI) changes over a 7-day period. This indicator is designed for use with both spot and futures markets, including cryptocurrencies.
Key Features:
Price and OI Change Calculation: Computes the 7-day change in price and open interest to help identify market trends and shifts.
Market Conditions Visualization: Differentiates market conditions by changing the background color based on:
Leverage-Driven Market: Blue background indicates increasing prices and OI, suggesting a bullish trend driven by leverage.
Spot-Driven Market: Green background shows increasing prices but decreasing OI, indicating a bullish trend driven by spot market activity.
Leverage Sell-Off: Orange background reveals decreasing prices with increasing OI, signaling a potential liquidation phase.
Deleveraging Sell-Off: Red background reflects decreasing prices and OI, indicating a bearish market with reduced leverage.
Top 3 BTC Futures Average OI: Displays the average open interest for the top 3 BTC futures contracts from major exchanges (Binance, OKX, Bybit). This helps gauge overall market sentiment and liquidity.
Visualization Tools: Includes optional plotting of open interest data and average OI for better visualization of market conditions.
Usage:
Traders and Analysts: Use the background color changes and average OI to make informed decisions about market entry and exit points.
Futures Traders: Track OI changes in major BTC futures to assess market strength and potential liquidity issues.
Rate of Change StrategyRate of Change Strategy :
INTRODUCTION :
This strategy is based on the Rate of Change indicator. It compares the current price with that of a user-defined period of time ago. This makes it easy to spot trends and even speculative bubbles. The strategy is long term and very risky, which is why we've added a Stop Loss. There's also a money management method that allows you to reinvest part of your profits or reduce the size of your orders in the event of substantial losses.
RATE OF CHANGE (ROC) :
As explained above, the ROC is used to situate the current price compared to that of a certain period of time ago. The formula for calculating ROC in relation to the previous year is as follows :
ROC (365) = (close/close (365) - 1) * 100
With this formula we can find out how many percent the change in the current price is compared with 365 days ago, and thus assess the trend.
PARAMETERS :
ROC Length : Length of the ROC to be calculated. The current price is compared with that of the selected length ago.
ROC Bubble Signal : ROC value indicating that we are in a bubble. This value varies enormously depending on the financial product. For example, in the equity market, a bubble exists when ROC = 40, whereas in cryptocurrencies, a bubble exists when ROC = 150.
Stop Loss (in %) : Stop Loss value in percentage. This is the maximum trade value percentage that can be lost in a single trade.
Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. The default is 400, which means that for each $400 gain or loss, the order size is increased or decreased by an amount chosen by the user.
Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200.
Initial capital : $1000
Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value.
Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker.
Important : A bot has been used to test the different parameters and determine which ones maximize return while limiting drawdown. This strategy is the most optimal on BITSTAMP:BTCUSD in 1D timeframe with the following parameters :
ROC Length = 365
ROC Bubble Signal = 180
Stop Loss (in %) = 6
LONG CONDITION :
We are in a LONG position if ROC (365) > 0 for at least two days. This allows us to limit noise and irrelevant signals to ensure that the ROC remains positive.
SHORT CONDITION :
We are in a SHORT position if ROC (365) < 0 for at least two days. We also open a SHORT position when the speculative bubble is about to burst. If ROC (365) > 180, we're in a bubble. If the bubble has been in existence for at least a week and the ROC falls back below this threshold, we can expect the asset to return to reasonable prices, and thus a downward trend. So we're opening a SHORT position to take advantage of this upcoming decline.
EXIT RULES FOR WINNING TRADE :
The strategy is self-regulating. We don't exit a LONG trade until a SHORT signal has arrived, and vice versa. So, to exit a winning position, you have to wait for the entry signal of the opposite position.
RISK MANAGEMENT :
This strategy is very risky, and we can easily end up on the wrong side of the trade. That's why we're going to manage our risk with a Stop Loss, limiting our losses as a percentage of the trade's value. By default, this percentage is set at 6%. Each trade will therefore take a maximum loss of 6%.
If the SL has been triggered, it probably means we were on the wrong side. This is why we change the direction of the trade when a SL is triggered. For example, if we were SHORT and lost 6% of the trade value, the strategy will close this losing trade and open a long position without taking into account the ROC value. This allows us to be in position all the time and not miss the best opportunities.
MONEY MANAGEMENT :
The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown.
NOTE :
Please note that the strategy is backtested from 2017-01-01. As the timeframe is 1D, this strategy is a medium/long-term strategy. That's why only 34 trades were closed. Be careful, as the test sample is small and performance may not necessarily reflect what may happen in the future.
Enjoy the strategy and don't forget to take the trade :)
Price Change RatePrice Change Rate (PCR)
Description:
The "Price Change Rate" (PCR) indicator is a customized tool designed to visualize the rate of price change over different periods. The PCR indicator plots three separate lines, each representing a distinct length of time. Each line represents the percentage change in price from the start of its designated period.
Usage:
Setting up the indicator:
To use the PCR indicator, simply add it to your TradingView chart. In the settings panel, you will find three different lengths to input: Length 1, Length 2, Length 3. These lengths represent the periods (in days) over which the price change is calculated. Input your desired lengths for each.
Understanding the output:
The Price Change Rate 1 line (colored in red) represents the rate of price change over the period defined in Length 1.
The Price Change Rate 2 line (colored in green) represents the rate of price change over the period defined in Length 2.
The Price Change Rate 3 line (colored in blue) represents the rate of price change over the period defined in Length 3.
The lines move in accordance with the rate of price change. For example, if the Price Change Rate 1 line is above 0, it means the price has increased in the period defined in Length 1.
Purpose:
The purpose of the PCR indicator is to give a visual representation of how the price of an asset is changing over multiple periods. By comparing the three lines, you can get a sense of the momentum of the price change and potentially identify trends or shifts in market sentiment.
Limitations:
Like all indicators, the PCR should not be used in isolation. Consider combining it with other indicators and tools to improve the accuracy of your analysis.
Remember, historical performance is not indicative of future results. Always use proper risk management and ensure your strategies align with your investment goals.
Stock Data Table█ OVERVIEW
This is a table that shows some information about stocks. It is divided into four sections:
1) Correlation
2) Shares
3) Daily Data
4) Extended Session Data
The table is completely modular, which means you can add or remove each element from the settings menu, and it will automatically rearrange its spaces.
It is also highly customizable, to the extent that you can change almost any color, remove or change titles, invert section rows, and much more.
1) Correlation
The script checks if the stock is listed on NASDAQ, and if so, uses the QQQ (Nasdaq-100 ETF) as the reference index in the first cell; otherwise, it uses the SPY (S&P 500 ETF). The length of the correlation is shown in the second cell. The table then displays the correlation between the reference index and the other index, and the correlation between the reference index and the stock.
To make it easier to interpret the correlation values, each row's last cell is color-coded with a gradient to highlight the type of correlation, and the direction of the gradient can be customized.
The correlation coefficient is a statistical measure that quantifies the strength and direction of the relationship between two variables, indicating how changes in one variable are associated with changes in the other variable, so it can be used to identify patterns and trends.
If you are interested in correlation, I suggest taking a look at my dedicated indicator:
2) Shares
This feature provides you with quick access to key information about shares and market capitalization.
On one row, you can view the total shares outstanding and the market capitalization for the fiscal year or the quarterly year. The total shares outstanding represents the total number of shares of the stock that have been issued and are currently outstanding, regardless of whether they are held by insiders or public investors. The market capitalization is a widely used measure of the company's value as determined by the stock market, calculated by multiplying its current stock price with the total number of outstanding shares.
The other row shows the float, which is the number of shares of a company that are available for public trading, and the corresponding free-float market cap, calculated by multiplying the company's current stock price with the float. Because Pine Script does not allow retrieving information about quarterly year float, you can view the float and the free-float market cap of the fiscal year only. The data can be displayed at all times or only when the difference between the total shares outstanding and the float is significant enough to result in a difference between the market cap and free-float market cap.
The classification for market cap and free-float market cap is set in this way:
Mega Cap: $200 billion or more
Large Cap: between $10 billion and $200 billion
Mid Cap: between $2 billion and $10 billion
Small Cap: between $300 million and $2 billion
Micro Cap: less than $300 million
Penny Stocks: less than $5 (customizable)
Comparing the free-float market cap to the market cap can provide insights into the liquidity of a stock. In fact, if the float is relatively small compared to the total shares outstanding, it may be more difficult to find buyers or sellers, which could lead to increased volatility. On the other hand, a larger float indicates that the stock is more liquid and may be easier to trade, potentially resulting in lower volatility. However, market conditions can change quickly and significantly, especially for intraday traders, and the free-float can also change as insiders or other large shareholders buy or sell shares. Therefore, comparing the data of the fiscal year with that of the quarterly year may not provide the most up-to-date and accurate information for making trading decisions. This limitation can be mitigated by combining those data with other indicators and tools, such as technical analysis or news events, to gain a better understand of the stock's performance and potential trading opportunities.
3) Daily Data
This section is available on daily charts only due to the lack of accuracy of real-time daily data on other time frames. Here, you can view the Average Daily Volume (ADV) over a preferred time range (20 days by default), and the Daily Change, which represents the percentage difference between the closing price on two consecutive trading days.
ADV is useful in measuring the stock's volatility, as it provides an indication of how much trading activity there is in it. Generally speaking, stocks with higher trading volume tend to be less volatile than stocks with lower trading volume. High trading volume means there are more buyers and sellers actively trading the stock, which makes it easier for investors to buy and sell shares at fair prices. This increased liquidity can help to stabilize the stock price, reducing the potential for large swings in either direction. On the other hand, stocks with lower trading volume may experience greater volatility, as there are fewer buyers and sellers actively trading the stock. This can result in larger price swings, as it may be more difficult for investors to buy or sell shares at fair prices.
The daily percentage change can provide an indication of the stock's volatility, with larger values indicating greater volatility and risk. It can also be compared to that of a benchmark such an index or other stocks in the same sector, helping to determine whether the stock is outperforming or underperforming relative to them.
4) Extended Session Data
The fourth section is available on intraday charts only. This section provides two pieces of information: the Extended Session Change and the Pre-Market Volume.
The Extended Session Change indicates the percentage difference between the previous day's closing price and the latest price in the extended session. This gives you the extent and the direction of the price gap that occurred during extended trading hours.
The Pre-Market Volume shows the sum of all shares traded during the pre-market session. This can be helpful in understanding how much interest the stock gained before the market opened.
By default, the two rows will be visible at all times. They will stop updating after the end of their respective time range, and resume updating when it starts again. However, you can choose to automatically hide them outside of their time ranges.
Both the extended session and pre-market time ranges can be customized. Please note that if you select time ranges outside of the regular market session (as set by default), you must enable the extended session to view the corresponding rows.
█ GENERAL NOTES
• Total Shares Outstanding, Float, Average Daily Volume and Pre-Market Volume cells use a customizable color system based on two thresholds, to help you quickly identify whether the value is "too low/acceptable/too high" or "too low/not enough high/acceptable".
• If you cannot see certain data, that simply means it is not available.
TableBarValues_v4It give you the absolute value of bar changes for different period of tims (33, 100, 200) AND the max barchange ont the same period.
Can be added in v4 in all codes. Stupid but useful.
You can add it to any v4 script. The location of the table can be changed easily
Inspired from the tradingview community. Don't forget to hydrate. @Magnumm
Daily % Change TableDaily % Change Table — Indicator Summary
This indicator provides a compact performance summary for daily candles, designed for backtesting and daily-session analysis. It displays a table in the top-right corner of the chart showing three key percentage-change statistics based on the current candle:
1. Prior Change
Percentage move from the close two days ago to the prior day’s close.
Useful for understanding momentum and context heading into the current session.
2. Change
Percentage move from the prior day's close to the current candle’s close.
Shows today’s full-session change.
3. Premarket
Percentage move from the prior day's close to the current day’s open.
Helps quantify overnight sentiment and gap activity.
Features
Clean, unobtrusive table display
Automatically updates on the most recent bar
Designed for use on Daily timeframe
Useful for gap analysis, backtesting, and volatility/momentum studies
Volume Rate of Change (VROC)# Volume Rate of Change (VROC)
**What it is:** VROC measures the rate of change in trading volume over a specified period, typically expressed as a percentage. Formula: `((Current Volume - Volume n periods ago) / Volume n periods ago) × 100`
## **Obvious Uses**
**1. Confirming Price Trends**
- Rising VROC with rising prices = strong bullish trend
- Rising VROC with falling prices = strong bearish trend
- Validates that price movements have conviction behind them
**2. Spotting Divergences**
- Price makes new highs but VROC doesn't = weakening momentum
- Price makes new lows but VROC doesn't = potential reversal
**3. Identifying Breakouts**
- Sudden VROC spikes often accompany legitimate breakouts from consolidation patterns
- Helps distinguish real breakouts from false ones
**4. Overbought/Oversold Conditions**
- Extreme VROC readings (very high or very low) suggest exhaustion
- Mean reversion opportunities when volume extremes occur
---
## **Non-Obvious Uses**
**1. Smart Money vs. Dumb Money Detection**
- Declining VROC during price rallies may indicate retail FOMO while institutions distribute
- Rising VROC during selloffs with price stability suggests institutional accumulation
**2. News Impact Measurement**
- Compare VROC before/after earnings or announcements
- Low VROC on "significant" news = market doesn't care (fade the move)
- High VROC = genuine market reaction (respect the move)
**3. Market Regime Changes**
- Persistent shifts in average VROC levels can signal transitions between bull/bear markets
- Declining baseline VROC over months = waning market participation/topping process
**4. Intraday Liquidity Profiling**
- VROC patterns across trading sessions identify best execution times
- Avoid trading when VROC is abnormally low (wider spreads, poor fills)
**5. Sector Rotation Analysis**
- Compare VROC across sector ETFs to identify where capital is flowing
- Rising VROC in defensive sectors + falling VROC in cyclicals = risk-off rotation
**6. Options Expiration Effects**
- VROC typically drops significantly post-options expiration
- Helps avoid false signals from mechanically-driven volume changes
**7. Algorithmic Activity Detection**
- Unusual VROC patterns (regular spikes at specific times) may indicate algo programs
- Can front-run or avoid periods of heavy algorithmic interference
**8. Liquidity Crisis Early Warning**
- Sharp, sustained VROC decline across multiple assets = liquidity withdrawal
- Can precede market stress events before price volatility emerges
**9. Cryptocurrency Wash Trading Detection**
- Comparing VROC across exchanges for same asset
- Discrepancies suggest artificial volume on certain platforms
**10. Pair Trading Optimization**
- Use relative VROC between correlated pairs
- Enter when VROC divergence is extreme, exit when it normalizes
The key to advanced VROC usage is context: combining it with price action, market structure, and other indicators rather than using it in isolation.
Advanced Market Structure [OmegaTools]📌 Market Structure
Advanced Market Structure is a next–generation indicator designed to decode price structure in real time by combining classical swing–based analysis with modern quantitative confirmation techniques. Built for traders who demand both precision and adaptability, it provides a robust multi–layered framework to identify structural shifts, trend continuations, and potential reversals across any asset class or timeframe.
Unlike traditional structure indicators that rely solely on visual swing identification, Market Structure introduces an integrated methodology: pivot detection, Donchian trend modeling, statistical confirmation via Z–Score, and volume–based validation. Each element contributes to a comprehensive, systematic representation of the underlying market dynamics.
🔑 Core Features
1. Five Distinct Market Structure Modes
Standard Mode:
Captures structural breaks through classical swing high/low pivots. Ideal for discretionary traders looking for clarity in directional bias.
Confirmed Breakout Mode:
Requires validation beyond the initial pivot break, filtering out noise and reducing false positives.
Donchian Trend HL (High/Low):
Establishes structure based on absolute highs and lows over rolling lookback windows. This approach highlights broader momentum shifts and trend–defining extremes.
Donchian Trend CC (Close/Close):
Similar to HL mode, but calculated using closing prices, enabling more precise bias identification where close–to–close structure carries stronger statistical weight.
Average Mode:
A composite methodology that synthesizes the four models into a weighted signal, producing a balanced structural bias designed to minimize model–specific weaknesses.
2. Dynamic Pivot Recognition with Auto–Updating Levels
Swing highs and lows are automatically detected and plotted with adaptive horizontal levels. These dynamic support/resistance markers continuously extend into the future, ensuring that historically significant levels remain visible and actionable.
3. Color–Adaptive Candlesticks
Price bars are dynamically recolored to reflect the prevailing structural regime: bullish (default blue), bearish (default red), or neutral (gray). This enables instant visual recognition of regime changes without requiring external confirmation.
4. Statistical Reversal Triggers
The script integrates a 21–period Z–Score calculation applied to closing prices, combined with multi–layered volume confirmation (SMA and EMA convergence).
Bullish trigger: Z–Score < –2 with structural confirmation and volume support.
Bearish trigger: Z–Score > +2 with structural confirmation and volume support.
Signals are plotted as diamond markers above or below the bars, identifying potential high–probability reversal setups in real time.
5. Integrated Alpha Backtesting Engine
Each market structure mode is evaluated through a built–in backtesting routine, tracking hit ratios and consistency across the most recent ~2000 structural events.
Performance metrics (“Alpha”) are displayed directly on–chart via a dedicated Performance Dashboard Table, allowing side–by–side comparison of Standard, Confirmed Breakout, Donchian HL, Donchian CC, and Average models.
Traders can instantly evaluate which structural methodology best adapts to the current market conditions.
🎯 Practical Advantages
Systematic Clarity: Eliminates subjectivity in defining structural bias, offering a rules–based framework.
Statistical Transparency: Built–in performance metrics validate each mode in real time, allowing informed decision–making.
Noise Reduction: Confirmed Breakouts and Donchian modes filter out common traps in structural trading.
Multi–Asset Adaptability: Optimized for scalping, intraday, swing, and multi–day strategies across FX, equities, futures, commodities, and crypto.
Complementary Usage: Works as a stand–alone structure identifier or as a quantitative filter in larger algorithmic/trading frameworks.
⚙️ Ideal Users
Discretionary traders seeking an objective reference for structural bias.
Quantitative/systematic traders requiring on–chart statistical validation of structural regimes.
Technical analysts leveraging pivots, Donchian channels, and price action as part of broader frameworks.
Portfolio traders integrating structure into multi–factor models.
💡 Why This Tool?
Market Structure is not a static indicator — it is an adaptive framework. By merging classical pivot theory with Donchian–style momentum analysis, and reinforcing both with statistical backtesting and volume confirmation, it provides traders with a unique ability:
To see the structure,
To measure its reliability,
And to act with confidence on quantifiably validated signals.
Fed Rate Change Impact📊 Fed Rate Change Impact — Macro Event-Driven Indicator
Fed Rate Change Impact is an advanced indicator designed to analyze the impact of Federal Reserve interest rate changes on financial markets. It integrates event-driven logic with dynamic visualization, percentage diagnostics, and multi-asset selection, offering a clear and customizable view of post-event effects.
🔍 Key Features 📅 Preloaded Fed Events : Includes over 30 historical rate cut (↓) and hike (↑) dates from 2008 to 2024.
📈 Post-Event Analysis : Calculates the percentage change of the selected asset 5, 10, and 30 days after each event.
📌 Vertical Chart Lines : Visually highlights each event directly on the chart, with dynamic coloring (red for hikes, green for cuts).
📋 Diagnostic Table : Displays real-time impact for each event, with color-coded values and a compact layout.
🧠 Interactive Filter: Choose to display only hikes, only cuts, or both.
🧭 Flexible Asset Selection : Analyze the current chart asset, pick from a predefined list, or manually input any ticker via input.symbol().
🎯 Contextual Highlighting : The table highlights the analyzed asset if it matches the active chart symbol.
⚙️ Customizable Parameters lookahead5, lookahead10, lookahead30: Define the time horizon for measuring post-event impact.
eventFilter : Choose which type of events to display.
presetAsset / customAsset : Select or input the asset to analyze.
🧪 Recommended Use Cases Macroeconomic analysis on indices, commodities, crypto, and forex
Studying delayed effects of rate changes on sensitive assets
Building event-driven strategies or diagnostic overlays
Visual backtesting and cross-asset comparison
🧠 Technical Notes The indicator is compatible with overlay=true and works best on Daily timeframe.
The table automatically adapts to the number of events and includes visual padding for improved readability.
All calculations are performed in real time and require no external data.
HA Color Change Alerts (fixed v3)📌 Heikin Ashi Color Change Alerts
This indicator notifies you whenever a Heikin Ashi candle changes color (from red → green or green → red).
🔎 Features
Automatic Heikin Ashi calculation
Uses TradingView’s built-in Heikin Ashi source, so you don’t need to switch your chart to HA candles.
Signals on chart
Plots ▲ (green triangle) when HA changes from red → green and ▼ (red triangle) when HA changes from green → red.
Customizable alerts
You can set TradingView alerts for:
“Heikin Ashi Turned GREEN”
“Heikin Ashi Turned RED”
Options
Show/Hide the Heikin Ashi candles on top of your normal chart.
Choose whether alerts trigger only after bar close, or intrabar as soon as the color flips.
Show or hide the signal markers.
🔔 Use cases
Trend following: enter when HA flips to green, exit when it flips back to red.
Early reversal spotting: get notified when the candle momentum shifts.
Works on any symbol and timeframe.
Percent Change IndicatorThe Percent Change Indicator helps you see how much the price of an asset has changed over a specific number of bars (or candles) on the chart. You get to decide how many bars to look back — for example, the last 10 candles. The indicator takes the current closing price and compares it to the closing price from 10 bars ago, then calculates the percentage difference between the two.
If the price has increased, the indicator shows a positive value and displays it in green. If the price has dropped, the value is negative and shown in red. A horizontal zero line helps you quickly see whether the market is gaining or losing value over the selected period.
On your chart, this indicator appears as a line that moves up or down with the price trend. It updates in real time and works on all timeframes — so whether you're trading on the 1-minute chart or analyzing the daily chart, it always tells you how much the price has changed over the number of bars you chose.
This tool is especially useful for spotting trends, measuring price momentum, or identifying when the market is starting to reverse direction.
PriceCatch Stock Range Binning-v1Hi Traders.
This is a simple script that will show you the number of times an instrument was within a change% zone. For example, you will know how many times it was between 5% and 10%, or 1% and 3%. So with this info, you will be able to set your expectation regarding the move the instrument is likely to make on any trading day. So, if you notice that the instrument has moved into a higher zone, then you can estimate to an extent where it will attempt to go.
Play with it and you will know its use.
I have kept the source open so that you can study it yourself and make any changes as per your needs.
Remember, this is not an indicator but just an info script.
All the best with your trades.
Candlestick Color Change AlertIt is an alert for change of candlestick color.
Identifies Candle Type
A candle is bullish if the closing price is higher than the opening price.
A candle is bearish if the closing price is lower than the opening price.
Detects a Color Change
The script checks if the current candle is bullish while the previous candle was bearish, or vice versa.
If a change is detected, an alert is triggered.
Triggers an Alert
Users receive an alert notification whenever a candlestick color change occurs.
Alerts can be set for popup, email, mobile push, or webhook notifications.
Visual Highlighting (Optional)
The script can also apply a background color (blue) on the chart to visually mark color changes.
Central Bank Liquidity YOY % Change - Second DerivativeThis indicator measures the acceleration or deceleration in the yearly growth rate of central bank liquidity.
By calculating the year-over-year percentage change of the YoY growth rate, it highlights shifts in the pace of liquidity changes, providing insights into market momentum or potential reversals influenced by central bank actions.
This can help reveal impulses in liquidity by identifying changes in the growth rate's acceleration or deceleration. When central bank liquidity experiences a rapid increase or decrease, the second derivative captures these shifts as sharp upward or downward movements.
These impulses often signal pivotal liquidity shifts, which may correspond to major policy changes, market interventions, or financial stability measures, offering an early signal of potential market impacts.
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.
Combined Stock Session Percent Change MonitorIntroducing the "Combined Stock Session Percent Change Monitor" - a unique tool tailored for traders who wish to track the collective performance of up to five stocks in real-time during a trading session.
Key Features:
User Customization: Easily input and monitor any five stock symbols of your choice. By default, the script tracks "AAPL", "MSFT", "AMZN", "TSLA", and "NVDA".
Session-Based Tracking: The script captures and calculates the percentage change from the start of a trading session, set at 15:30. This allows traders to gauge intraday performance.
Visual Clarity: The combined percentage change is plotted as columns, with green indicating a positive change and red indicating a negative change. This provides a clear, visual representation of the stocks' collective performance.
Versatility: Whether you're tracking the performance of stocks in a specific sector, or you're keeping an eye on your personal portfolio's top holdings, this tool offers a concise view of collective stock movement.
Usage:
Simply input the desired stock symbols and let the script do the rest. The plotted columns will provide a quick snapshot of how these stocks are performing collectively since the session's start.
Conclusion:
Stay ahead of the market by monitoring the combined performance of your chosen stocks. Whether you're an intraday trader or a long-term investor, this tool offers valuable insights into collective stock behavior. Happy trading!
(Note: Always conduct your own research and due diligence before making any trading decisions. This tool is meant to aid in analysis and not to serve as financial advice.)
Multi-Asset Month/Month % change 10yr Averages10 Year Averages of Month-on-Month % change: Shows current asset, and 3x user input assets
-For comparing seasonal tendencies among different assets.
-Choose from a variety of monthly average measures as source: sma(close, length), sma(ohlc4, length); as well as sma's of vwap, vwma, volume, volatility. (sma = simple moving average).
-Averages based on month cf previous month: i.e. Feb % = Feb compared to Jan; Jan % = Jan compared to prev year's Dec. Average of the last 10yrs of these values is the printed value.
-Plot on current year (2023), or previous year (2022). If Plotting on current year, and a month of year has not yet occured, a 9yr average will be printed.
/// notes ///
-daily bars in month is a global setting; so choose assets which have similar trading days per month. i.e. Crypto: length = 30 (days per month); Stocks/FX/Indices: length = 21 (days per month).
-only plots on Daily timeframe.
10yr Avgs; Plotting with Year = 2022; using sma(close, 21) as source for average M/M change
Stock Cumulative Percent ChangeThis script shows the cumulative rate of change of the top 7 stocks held in the S&P 500. These stocks are all market leaders and being aware of their performance can help one to stay on the right side of the overall market.
The percent change from bar to bar is calculated. The percent change of all 7 is combined in an average of those pct changes. Finally starting the day at 0, the pct change for each bar is accumulated throughout the day.
The timeframe can be modified in the options, as well as the list of stocks that are considered.
The original idea came from @TicTocTick and was then coded in Pine by @connorwinemil, credit where credit is due. I modified to make it cumulative and allowed intra day time frames.
volatility-weighted price change divergenceEMA of intrabar-volatility-weighted price change minus EMA of price change. It puts more weights on candles that have large volatility inside, and assumes that the direction of those high-volatility candles are more meaningful than low-volatility ones. Therefore, we take the difference between the volatility-weighted price change and the regular price change and plot the EMA. The indicator may be used as a tool to find divergence and potential reversal, or hints of continuation of a strong trend. Note that this indicator can change a lot with different time frames and settings, so take care to backtest before using. Recommended settings are 15m resolution for time frames longer than 4H and 1m resolution (with 200 EMA length) for time frames below 4H. The resolution is used to find the intrabar volatility.
+ Rate of ChangeNOTE!* If you were using my previous + Rate of Change (and OBV) indicator, I will not be updating that. OBV was moved to my + Breadth & Volume indicator.
This indicator here is basically and updated version of the old indicator, without OBV.
The Rate of Change, or RoC, is a momentum indicator that measures the percentage change in price between the current period and the price n periods ago.
It oscillates above and below a zeroline, basically showing positive or negative momentum.
I applied the OBV's calculation to it, but without the inclusion of volume (also added a lookback period) to see what would happen. I rather liked the result.
I call this the "Cumulative Rate of Change." I only recently realized that this is actually just the OBV without volume, however the OBV does not have a lookback period, and this indicator does.
Doing some more fiddling, I realized that removing both the signum and the volume from the calculation gets you basically a price chart, but calculated as the change in price over n periods. I'm leaving this in because maybe someone discovers they really like having a line chart with moving averages or some other indicator on it to leave their main chart indicator free (giving a more clear look at price action). Can't hurt, right?
Default lookback is set to 1, but play with longer settings (especially if using the traditional RoC, which is by default in TV set to 10, and is nigh on useless at 1--I like 13).
Default source is set to each candle close, but give ohlc4 a look. It smooths out the indicator a bit, and because it's an average of the open, high, low, and close it should give a better idea of what price in general is doing.
Moving averages, Bollinger Bands, Donchian Channels, candle coloring and alerts are my usual additions.
Below are some comparison images of the different indicators wrapped up in here.
Comparison of Cumulative Rate of Change with two different sources. Lookback set to 1.
Cumulative Rate of Change as a price chart, essentially.
And, lastly, the traditional Rate of Change indicator.
+ Rate of Change (and OBV)The Rate of Change, or RoC, is a momentum indicator that measures the percentage change in price between the current period and the price n periods ago. It oscillates above and below a zeroline, basically showing positive or negative momentum. I applied the OBV's calculation to it, but without the inclusion of volume (also added a lookback period) to see what would happen.
Actually what happened was I was looking at hot-rodding the OBV indicator, but then wondered if I could apply the cumulative calculation to another indicator to see what would happen. Not sure why I chose the Rate of Change, but it seemed a neat idea. And it worked! And so I called it the "Cumulative Rate of Change." I only recently realized that this is actually just the OBV without volume, HOWEVER the OBV does not have a lookback period, and its source is the close of each period. Basically, when you look at the calculation for the OBV you'll notice that it's a cumulative measure of the "change" of the closing price against the previous close times the volume. The Rate of Change is basically that measurement over more than one period, excluding the volume, and is not cumulative. Thus the "Cumulative Rate of Change" is basically an OBV without the volume but with the capability to adjust the lookback period.
Anyway, after days and weeks of playing with the indicator pretty infrequently I did decide that I actually really liked it, especially with the addition of moving averages and bollinger bands. So I decided to play with it a bit more.
I added a drop-down menu to include the standard Rate of Change indicator, and then thought I may as well add the OBV too, in case someone might like to compare that to the C-RoC, or just wants an OBV with myriad moving averages and bollinger bands.
By default I have the indicator set to the "C-RoC" and the lookback is set to 1, but play with longer settings (this is pretty much necessary if using the traditional RoC, which is by default set to 10 in TradingView, and is nigh on useless at 1).
I also recommend playing with the source. 'Close' is nice, but 'ohlc4' provides some very nice signals as well, as it follows the price flow for each period completely, filtering the noisiness of 'close' as source.
Hope you guys like this. With the bollinger bands and your preferred moving average settings this can be a powerful tool for re-entering trades in trend, taking profits, determining momentum swings.
Relative Volume Change: BTC | Retail v. Non-Retail [Sim]This script was inspired by Cryptorae's BTC Volume Share, Retail script:
The script plots the relative monthly change of BTC volume, retail vs. non-retail. A move above 1 means the volume of retail or non-retail, respectively, is greater than last month's cumulative volume.
