Market Cycles
The Market Cycles indicator transforms market price data into a stochastic wave, offering a unique perspective on market cycles. The wave is bounded between positive and negative values, providing clear visual cues for potential bullish and bearish trends. When the wave turns green, it signals a bullish cycle, while red indicates a bearish cycle.
Designed to show clarity and precision, this tool helps identify market momentum and cyclical behavior in an intuitive way. Ideal for fine-tuning entries or analyzing broader trends, this indicator aims to enhance the decision-making process with simplicity and elegance.
Sentiment
Money Flow ExtendedMoney Flow Extended (MF)
Definition
The Money Flow Extended (MF) indicator brings together the functionality of the Money Flow Index indicator (MFI) , a tool created by Gene Quong and Avrum Soudack and used in technical analysis for measuring buying and selling pressure, and The Relative Strength Index (RSI) , a well versed momentum based oscillator created by J.Welles Wilder Jr., which is used to measure the speed (velocity) as well as the change (magnitude) of directional price movements.
History
As the Money Flow Index (MFI) is quite similar to The Relative Strength Index (RSI), essentially the RSI with the added aspect of volume, adding a Moving Average, divergence calculation, oversold and overbought gradients, facilitates the transition from RSI, making the use of MFI pretty similar.
What to look for
Overbought/Oversold
When momentum and price rise fast enough, at a high enough level, eventual the security will be considered overbought. The opposite is also true. When price and momentum fall far enough, they can be considered oversold. Traditional overbought territory starts above 80 and oversold territory starts below 20. These values are subjective however, and a technical analyst can set whichever thresholds they choose.
Divergence
MF Divergence occurs when there is a difference between what the price action is indicating and what MF is indicating. These differences can be interpreted as an impending reversal. Specifically, there are two types of divergences, bearish and bullish.
Bullish MFI Divergence – When price makes a new low but MF makes a higher low.
Bearish MFI Divergence – When price makes a new high but MF makes a lower high.
Failure Swings
Failure swings are another occurrence which can lead to a price reversal. One thing to keep in mind about failure swings is that they are completely independent of price and rely solely on MF. Failure swings consist of four steps and are considered to be either Bullish (buying opportunity) or Bearish (selling opportunity).
Bullish Failure Swing
MF drops below 20 (considered oversold).
MF bounces back above 20.
MF pulls back but remains above 20 (remains above oversold)
MF breaks out above its previous high.
Bearish Failure Swing
MF rises above 80 (considered overbought)
MF drops back below 80
MF rises slightly but remains below 80 (remains below overbought)
MF drops lower than its previous low.
Summary
The Money Flow Extended (MF) can be a very valuable technical analysis tool. Of course, MF should not be used alone as the sole source for a trader’s signals or setups. MF can be combined with additional indicators or chart pattern analysis to increase its effectiveness.
Inputs
Length
The time period to be used in calculating the MF. 14 is the default.
Pivot Loopback
After how many bars you want the divergence to show, on the scale of 1-5. 5 is the default.
Calculate Divergence
Calculating divergences is needed in order for divergence alerts to fire.
Moving Average section
You can learn more about the inputs in the "Moving Average" section in this Help Center article .
Style
MF
Can toggle the visibility of the MF as well as the visibility of a price line showing the actual current value of the MF. Can also select the MF Line's color, line thickness and visual style.
MF-based MA
Can toggle the visibility of the MF-based MA as well as the visibility of a price line showing the actual current MA value. Can also select its color, line thickness and line style.
MF Upper Band
Can toggle the visibility of the Upper Band as well as sets the boundary, on the scale of 1-100, for the Upper Band (80 is the default). The color, line thickness and line style can also be determined.
MF Middle Band
Can toggle the visibility of the Middle Band as well as sets the boundary, on the scale of 1-100, for the Middle Band (50 is the default). The color, line thickness and line style can also be determined.
MF Lower Band
Can toggle the visibility of the Lower Band as well as sets the boundary, on the scale of 1-100, for the Lower Band (20 is the default). The color, line thickness and line style can also be determined.
MF Background Fill
Toggles the visibility of a Background color within the MF's boundaries. Can also change the Color itself as well as the opacity.
Overbought Gradient Fill
Can toggle the visibility of the Overbought Gradient Fill. Can also select its colors combination.
Oversold Gradient Fill
Can toggle the visibility of the Oversold Gradient Fill. Can also select its colors combination.
Precision
Sets the number of decimal places to be left on the indicator's value before rounding up. The higher this number, the more decimal points will be on the indicator's value.
SuperTrend Volume [BigBeluga]SuperTrend Volume is an advanced trend-following indicator that combines the traditional SuperTrend method with a normalized volume visualization inside trend bands, offering enhanced insight into market dynamics and volume activity.
🔵 Key Features:
Dynamic Trend Bands: The indicator uses the SuperTrend methodology to plot upper and lower trend bands, which adapt dynamically to price movements. Green bands indicate an uptrend, while purple bands indicate a downtrend.
Normalized Volume Visualization:
Inside the trend bands, normalized volume is displayed to highlight the intensity of market participation during trends.
Users can choose between two visualization types:
Bars: Displays volume as vertical bars within the bands.
Area: Represents volume as a shaded area for a smoother look.
Color-Coded Trends: Trend direction is color-coded:
Green for bullish trends.
Purple for bearish trends.
Volume Labels: Each bar or area has a label showing the normalized volume value 0-4 for easier interpretation.
Trend Change Detection: Automatically identifies trend reversals by recalculating the SuperTrend levels and adjusting volume visualization accordingly.
🔵 Usage:
Trend Identification: Use the color-coded trend bands to confirm the current market direction and identify potential reversals.
Volume Confirmation: Assess the strength of trends using normalized volume inside the bands. Higher normalized volume indicates stronger market conviction.
Peak Volume can be a signal of the mean reversion of price
Customization: Adjust the visualization type (bars or area) based on personal preference or analysis needs.
Dynamic Updates: Use volume labels and trend bands to stay updated on market shifts and trading opportunities in real time.
SuperTrend Volume is a versatile tool suitable for traders who want to combine trend analysis with volume dynamics for a more comprehensive view of the market. It is ideal for identifying trend strength, detecting reversals, and gauging the participation of market players during directional moves.
US and Asia Trading Hoursadds vertical lines to your chart that show US trading hours 9-4 and NY trading hours based off of EST
Line Break Chart StrategyHello All!
We should not pass this year without a gift!
My last publication in 2024 is Complete Line Break Chart Strategy with many features!
What is Line Break Chart?
" Line Break is a Japanese chart style that disregards time intervals and only focuses on price movements, similar to the Kagi and Renko chart styles. Line Break charts form a series of up and down bars (referred to as lines). Up lines represent rising prices, and down lines represent falling prices. New confirmed lines only form on the chart when closing prices break the range covered by previous lines. Users can control the number of past lines used in the calculation via the "Number of Lines" input in the chart settings. The typical "Number of Lines" setting is 3, meaning the chart forms a new up line when the closing price is above the high prices of the last three lines, and it forms a new down line when the closing price is below the past three lines' low prices. If the current price is higher, it is an up line and if it is lower, it is a down line. If the current closing price is the same or the move in the opposite direction is not large enough to warrant a reversal, l then no new line is draw n" by Tradingview. You can find it here
Now let's start examining the features of the indicator:
By using Line break reversals it shows trend on the main chart. You can create alert .
Moreover, you can decide which trade should be taken by using Risk Management in the indicator. You can set the " Maximum Risk " and then if the risk is more than you set then the trade is not taken. When trend changed it checks the distance between reversal level and open price and compare it with the Maximum Risk
Breakout:
It can find breakouts and shows on the chart. You can create alert for breakouts
It can show breakouts on the main chart:
Flip-Flops:
Upon looking at set of price break charts, the trader will notice that there are instances when uptrend blocks is followed by one reversal block, and then by a reversal to a series of uptrend blocks. The opposite is also possible: a series of downtrend blocks is followed by one reversal box and then by an immediate reversal to downtrend. This price action is called a " Flip-Flop ". This structure usually produces trend continuation signal. when we see this then we better use Buy/Sell stop order. lets see this on the chart:
Temporal Sequence Table:
Sequence frequency shows the frequency distribution of the number of sequential highs and the number of sequential lows that have been generated. This is quite important to the trader who is seeking to join a trend or put on a trade when the price break reverses into a new trend direction. For example, if the pattern over the past year has been that there never were more than nine consecutive high closes, it would make sense not to enter a position late into the sequence of new high closes.
also you can see market structure. I have tried to formalize it and show it under the table. so you can understand if it's choppy market.
"Number of Lines" has very important role. While using low time frames such seconds/minutes time frame you may want to choose higher number of lines such 5,6. ( this may minimize the risk of a whipsaw )
Gaps feature:
You can set Gaps on/off. if Gaps on then you can see how long it takes for each box
Reversal and Continuation Probability:
The script calculated Reversal level and Continuation probability of the trend by using Sequence frequency.
It also shows unconfirmed box and current closing price level:
Last but not least it has Overlay option for all items, and can show all items in the main chart!
P.S. I added alerts :)
Wish you all a happy new year!
Enjoy!
Buyers vs SellersBuyers vs Sellers is an indicator which essentially weighs the strength of the buyers against the strength of the sellers. It defines the current relationship between the buyers and the sellers as well as the way that that relationship is changing over time.
User Inputs:
1. Number of Bars To Include In The Calculation - this is the look back period. The amount of past data that is being processed.
2. Length of The ATR - higher values are recommended. This ATR is used as a unit in which the price changes are expressed.
3. Bullish/Bearish Bias Threshold - the minimum value to consider the buyers or the sellers having control of the price.
4. Net Move Average Length - the moving average of the sum of bullish and bearish price changes.
The Calculation Process:
This indicator measures the difference between the opening and the closing prices of each bar in the look back period.
After that it sums together the sizes of the bodies of all the bullish bars and also the sizes of all the bearish bars to create the total bullish price change and total bearish price change for the look back period.
After that it converts the total price changes into percentages of the ATR and divides them by the look back period to get the price change per bar - it is a way of getting the price change values down to less ridiculous numbers regardless of the look back period and while still keeping the proportions intact.
After that it sums the two price changes together to get the net move and performs a simple moving average calculation on it in order to smooth out the values. This is a numerical representation of the relationship between the strength of the bullish and the bearish moves, which is easily readable from the chart.
After that the indicator performs a natural logarithm of the bullish price change divided by the bearish price change. This calculation gives a relationship between the two values which is not tied to the volatility of the instrument, but is expressed purely as a relationship between the strength of one value against the other. The idea is that this would allow for easier comparison across different instruments as the same numbers would represent exactly the same distribution of the strength difference.
The Plotting Logic:
The ATR is plotted as just a number as a reference.
The natural logarithm is presented in two ways.
One way is numerical, to be able to precisely read the value and the colour of the number changes depending if it is positive and above the bias threshold or negative and below the bias threshold.
The other way is in the form of a background colour. It only visualises the bias that can be interpreted based on the logarithm value in relation to the set bias threshold.
The total bullish price change and the total bearish price change are both plotted as a line with the fill between that line and the zero line. This helps visualise the bullish and the bearish moves individually.
The moving average of the sum of the bullish and the bearish moves is added as a line to represent the relationship between the two on a graph and not just as a logarithm.
I hope this indicator will serve you well and help with defining the relationship between the buyers and sellers more objectively, hopefully leading to more profitable trades.
Abnormal Delta Volume HistogramThis indicator can help traders spot potential turning points or heightened volatility and provides a dynamic measure of unusual market behavior by focusing on shifts in “delta volume.” Delta volume is approximated by assigning all of a bar’s volume to the bullish side if the close is higher than the open and to the bearish side if the close is lower. The result is a net volume measure that can hint at which side—buyers or sellers—has the upper hand. By comparing this delta volume to its historical averages and measuring how far current readings deviate in terms of standard deviations, the indicator can highlight bars that reflect significantly stronger than normal buying or selling pressure.
A histogram visualizes these delta volume values on a bar-by-bar basis, while additional reference lines for the mean and threshold boundaries allow traders to quickly identify abnormal conditions. When the histogram bars extend beyond the threshold lines, and are colored differently to signal abnormality, it can draw the trader’s eye to periods when market participation or sentiment may be shifting rapidly. This can be used as an early warning signal, prompting further investigation into price action, external news, or significant events that may be driving unusual volume patterns.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Holiday Cheer 🎄Features:
Snowflakes Animation: Creates a "falling snow" effect with small white circles drifting downwards.
Festive Candlesticks: Green for up candles, red for down candles, matching holiday vibes.
Greeting Label: Displays a cheerful holiday message on the chart
SnowglobeA fun Christmas publication where snowflakes fall to the bottom, as in a Snowglobe.
☃️ Shake Snowglobe
- Set the settings as desired.
Position the chart so the current real-time bar at the right is still visible; otherwise, the snowflakes will not move.
- Simple move the chart a bit, zoom, or adjust the settings if you want to start over.
'White Theme' users will experience black snow, while 'Dark Themers' will get white snow! 😄
🎄 Pine Script™
- If the 'Amount' is 500 or lower, only label.new() is used, if higher, box.new() with text comes also in play.
- The size of the text is set with numeric values, a new feature of Pine Script™ version 6!
☃️ Settings
Amount: Maximum amount of snowflakes
Moving Flakes: Maximum amount of moving snowflakes per tick move
Max Speed: Maximum speed of tumbling snowflakes
Drift: Maximum bar distance of snowflakes' drift
Happy Holidays! 🎅🏻🧑🏻🎄
Bitcoin Premium [SAKANE]Overview
"Bitcoin Premium " is an indicator designed to analyze the price differences (premiums) of Bitcoin between major exchanges. By using this tool, you can visualize these differences and trends across exchanges, helping you make more informed trading decisions.
Features
1. Premium Calculation and Display
- Calculates and visualizes the price differences between major exchanges like Coinbase, Bitfinex, Upbit, and Binance.
- Premiums are displayed in a histogram format for intuitive analysis.
2. Forex Rate Adjustment
- Prices quoted in KRW (e.g., from Upbit) are converted to USD using real-time KRW/USD forex rates.
3. Moving Average Option
- Displays moving averages (SMA or EMA) of premiums for a clearer view of long-term trends.
4. Customizable Settings
- Toggle the premium display for each exchange on or off.
- Includes label displays to support visual analysis.
What Can It Do for You?
1. Identify Arbitrage Opportunities
By observing price differences (premiums) between exchanges, you can identify arbitrage opportunities.
Example: If Bitcoin is cheaper on Binance and more expensive on Coinbase, you could buy on Binance and sell on Coinbase to capture the price difference.
2. Understand Regional Supply and Demand Trends
Each exchange's premium reflects the supply and demand dynamics of its respective region.
Example: A high premium on Upbit may indicate excess demand or regulatory impacts in the South Korean market.
3. Analyze Liquidity
Price differences often highlight liquidity disparities between exchanges. Markets with lower trading volumes tend to have larger premiums due to price distortions.
4. Evaluate Macroeconomic Impacts
Premium movements may reflect changes in macroeconomic factors, such as exchange rates, regulations, or financial conditions specific to each region.
5. Analyze Trends and Market Sentiment
By tracking premium trends, you can gauge market sentiment and understand regional or exchange-specific behaviors to inform your investment decisions.
6. Support Strategic Trading
This tool is useful for short-term arbitrage strategies as well as long-term evaluations of market health.
Exchange Characteristics and Premium Implications
The meaning of premiums varies by exchange.
- Coinbase (US Market)
Primarily used by investors buying directly with fiat currency (USD). A higher premium often signals bullish sentiment among institutional and retail investors.
- Bitfinex (Global Market)
A trader-focused exchange with active large-scale and leveraged trading. Premiums may reflect liquidity and risk appetite.
- Upbit (South Korean Market)
Priced in KRW, making it subject to forex rates and local market dynamics. High premiums may indicate strong demand or regulatory influences in South Korea.
- Binance (Global Market)
The largest exchange by trading volume. Premiums here are often a reflection of the overall market balance.
Notes
- This indicator is for reference only and does not guarantee trading decisions.
- Please consider the characteristics and conditions of each exchange when using this tool.
ATR Oscillator with Dots and Dynamic Zero LineWhat It Is
The ATR Oscillator with Dots and Dynamic Zero Line is a custom indicator based on the Average True Range (ATR), designed to provide traders with enhanced insights into market volatility and directional bias. Unlike traditional ATR oscillators that plot continuous lines, this version uses distinct dots to display ATR values and includes a dynamic zero line that changes color based on market direction (uptrend, downtrend, or consolidation).
How It Works
ATR Calculation:
The indicator calculates the Average True Range over a user-defined period (default: 14 bars). ATR measures market volatility by considering the range between the high, low, and close of each bar.
Dots for ATR Values:
Instead of plotting ATR values as a continuous line, the indicator represents each value as an individual blue dot. This format highlights changes in volatility without visually connecting them, helping to avoid false trends and clutter.
Dynamic Zero Line:
A horizontal zero line provides additional directional context. The line changes color dynamically:
Green: Indicates an uptrend (price is consistently closing higher over consecutive bars).
Red: Indicates a downtrend (price is consistently closing lower over consecutive bars).
Gray: Indicates market consolidation or sideways movement (no clear trend in price).
The thickness and step-like style of the zero line make it visually prominent, enabling quick interpretation of market direction.
What It Does
Visualizes Market Volatility:
By plotting ATR values as dots, the oscillator emphasizes periods of heightened or reduced market activity, helping traders anticipate breakout opportunities or avoid low-volatility zones.
Provides Trend Context:
The dynamic zero line gives traders a clear signal of the prevailing market trend (uptrend, downtrend, or consolidation), which can be used to align trading strategies with the broader market context.
Avoids Misleading Trends:
Unlike traditional ATR oscillators that use continuous lines, this version eliminates visual artifacts caused by noise, such as false trends during consolidation periods.
Simplifies Interpretation:
The combination of ATR dots and a color-coded zero line creates a straightforward and intuitive tool for assessing both volatility and market direction.
Why It’s More Useful Than a Traditional ATR Oscillator
Enhanced Visibility:
The use of dots instead of a continuous line makes it easier to spot discrete changes in ATR values, avoiding visual clutter and false impressions of smooth trends.
Dynamic Market Context:
Traditional ATR oscillators only measure volatility, offering no indication of market direction. The dynamic zero line in this oscillator adds valuable directional context, helping traders align their strategies with the trend.
Better for Range-Bound Markets:
The zero line’s color-changing feature highlights consolidation periods, enabling traders to identify and avoid trading during sideways, low-volatility conditions where false signals are common.
Quick Decision-Making:
With clear visual cues (dots and color-coded lines), traders can quickly assess market conditions without needing to analyze multiple charts or indicators.
Improved Confluence:
The oscillator’s signals can easily be combined with other tools like VWAP, Volume Profile, or Order Flow indicators for more confident trade decisions.
When to Use It
Trending Markets:
Use the dynamic zero line to confirm the market’s direction and align trades accordingly.
Breakout Opportunities:
Look for periods of increasing ATR (dots moving higher) to anticipate high-volatility breakout scenarios.
Avoiding Noise:
During consolidation (gray zero line), this oscillator warns traders to wait for clearer signals before entering trades.
Support and Resistance Non-Repainting [AlgoAlpha]Elevate your technical analysis with the Non-Repainting Support and Resistance indicator from AlgoAlpha. Designed for traders who value precision, this tool highlights key support and resistance zones without repainting, ensuring reliable signals for better market decisions.
Key Features
🔍 Concise Zones: Identifies critical levels in real-time without repainting.
🖍 Customizable Appearance: Choose your preferred colors for bullish and bearish zones.
📏 Pivot Sensitivity Settings: Adjust the lookback period to fit different market conditions.
🔔 Visual Alerts: Highlights zones on your chart with clear, dynamic boxes and lines.
How to Use
Add the Indicator : Add it to your favorites chart by clicking the star icon. Adjust the lookback period, max zone duration, and colors to match your strategy.
Analyze the Chart : Look for zones where prices frequently react, indicating strong support or resistance.
Set Alerts : Enable notifications for new zone formations and zone invalidations, ensuring you never miss critical market moves.
How It Works
The indicator detects pivot highs and lows using a specified lookback period. When a pivot is confirmed, it draws corresponding support or resistance zones using TradingView’s built-in drawing tools. These zones extend until price breaks through them or they expire based on a maximum allowed duration. The indicator continuously checks if price interacts with any active zones and adjusts accordingly, ensuring accurate and real-time visualization.
VIX OscillatorOVERVIEW
Plots an oscillating value as a percentage, derived from the VIX and VIX3M . This can help identify broader market trends and pivots on higher time frames (ie. 1D), useful when making swing trades.
DATA & MATH
The VIX is a real-time index of expected S&P 500 volatility over the next 30 days, derived from option prices with near-term expirations. Similarly, the VIX3M measures expected volatility over the next 90 days.
Dividing one by the other yields an oscillating value, normalizing the relative strength of the expected volatility. Most commonly the VIX is divided by the VIX3M. However, because the VIX is inversely correlated to market sentiment (typically), this indicator divides the VIX3M by the VIX to visually correlate the plot direction with the anticipated market direction. Further, it subtracts 1.1 from the quotient to visually center the plot, and multiplies that difference by 100 to amplify the value as a percentage:
( VIX3M / VIX - 1.1 ) * 100
This variation makes identifying sentiment extremes easier within a buy-low-sell-high paradigm, where values below zero are bearish and values above zero are bullish.
PLOTS
Two plots are used, maximizing data fidelity and convenience. Candles are used to accurately reflect the quantized math and a Linear Regression is used to simplify contextualization. If you're not familiar with what a Linear Regression is, you can think of it like a better moving average. High / Low zones are also plotted to help identify sentiment extremes.
This combination allows you to quickly identify the expected sentiment (bullish / bearish) and its relative value (normal / extreme), which you can then use to anticipate if a trend continuation or pivot is more likely.
INPUTS
Candle colors (rise and fall)
Linear regression colors and length
Zone thresholds and zero line
Sell Signal - William O'Neil's Rule VisualizationThis indicator might be helpful for traders looking to visualize William O’Neil’s sell condition, a well-known concept in his trading strategies. A sell signal is triggered when:
1. Volume increases compared to the previous day.
2. The price drops by a user-defined percentage (default: 0.2% or more).
The indicator highlights the background for bars meeting these conditions and adds a subtle circle above them. You can adjust the drop rate in the settings to match your preferences.
It could serve as a useful tool for identifying potential distribution days or profit-taking signals, helping traders manage risk during market pullbacks.
このインジケーターは、ウィリアム・オニールの売り抜け条件を可視化したもので、トレーダーの皆さんに役立つかもしれません。シグナルは次の条件を満たすと発生します：
1. 出来高が前日より増加している。
2. 価格がユーザー指定の割合（デフォルトは0.2%以上）で下落している。
条件を満たしたバーには背景色が付き、控えめな丸印が表示されます。設定で下落率を自由に調整することもできます。
このツールは、分配日や利益確定のシグナルを特定するのに役立つかもしれません。市場の調整局面でのリスク管理にご活用ください。
TradingCharts SCTR [Bginvestor]This indicator is replicating Tradingcharts, SCTR plot. If you know, you know.
Brief description: The StockCharts Technical Rank (SCTR), conceived by technical analyst John Murphy, emerges as a pivotal tool in evaluating a stock’s technical prowess. This numerical system, colloquially known as “scooter,” gauges a stock’s strength within various groups, employing six key technical indicators across different time frames.
How to use it:
Long-term indicators (30% weight each)
-Percent above/below the 200-day exponential moving average (EMA)
-125-day rate-of-change (ROC)
Medium-term indicators (15% weight each)
-percent above/below 50-day EMA
-20-day rate-of-change
Short-term indicators (5% weight each)
-Three-day slope of percentage price oscillator histogram divided by three
-Relative strength index
How to use SCTR:
Investors select a specific group for analysis, and the SCTR assigns rankings within that group. A score of 99.99 denotes robust technical performance, while zero signals pronounced underperformance. Traders leverage this data for strategic decision-making, identifying stocks with increasing SCTR for potential buying or spotting weak stocks for potential shorting.
Credit: I've made some modifications, but credit goes to GodziBear for back engineering the averaging / scaling of the equations.
Note: Not a perfect match to TradingCharts, but very, very close.
Buying and Selling Volume Pressure S/RThis custom indicator aims to visualize underlying market pressure by cumulatively analyzing where trade volume occurs relative to each candle's price range. By separating total volume into "buying" (when price closes near the high of the bar) and "selling" (when price closes near the low of the bar), the indicator identifies shifts in dominance between buyers and sellers over a defined lookback period.
When cumulative buying volume surpasses cumulative selling volume (a "bullish cross"), it suggests that buyers are gaining control. Conversely, when cumulative selling volume exceeds cumulative buying volume (a "bearish cross"), it indicates that sellers are taking the upper hand.
Based on these crossovers, the indicator derives dynamic Support and Resistance lines. After a bullish cross, it continuously tracks and updates the lowest low that occurs while the trend is bullish, forming a support zone. Similarly, after a bearish cross, it updates the highest high that appears during the bearish trend, forming a resistance zone.
A Mid Line is then calculated as the average of the current dynamic support and resistance levels, providing a central reference point. Around this Mid Line, the script constructs an upper and lower channel based on standard deviation, offering a sense of volatility or "divergence" from the mean level.
Finally, the indicator provides simple buy and sell signals: a buy signal is triggered when the price closes back above the Mid Line, suggesting a potential shift toward bullish conditions, while a sell signal appears when the price closes below the Mid Line, hinting at a possible bearish move.
In summary, this indicator blends volume-based market pressure analysis with adaptive support and resistance detection and overlays them onto the chart. It helps traders quickly gauge who controls the market (buyers or sellers), identify dynamic levels of support and resistance, and receive alerts on potential trend changes—simplifying decision-making in rapidly evolving market conditions.
Important Notice:
Trading financial markets involves significant risk and may not be suitable for all investors. The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research or consult with a qualified financial advisor before making trading decisions. Past performance is not indicative of future results.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research and consult with a licensed financial professional before making any trading decisions.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data and possibly paper trading before applying them in live trading scenarios.
Sector Relative Strength [Afnan]This indicator calculates and displays the relative strength (RS) of multiple sectors against a chosen benchmark. It allows you to quickly compare the performance of various sectors within any global stock market. While the default settings are configured for the Indian stock market , this tool is not limited to it; you can use it for any market by selecting the appropriate benchmark and sector indices.
📊 Key Features ⚙️
Customizable Benchmark: Select any symbol as your benchmark for relative strength calculation. The default benchmark is set to `NSE:CNX100`. This allows for global market analysis by selecting the appropriate benchmark index of any country.
Multiple Sectors: Analyze up to 23 different sector indices. The default settings include major NSE sector indices. This can be customized to any market by using the relevant sector indices of that country.
Individual Sector Control: Toggle the visibility of each sector's RS on the chart.
Color-Coded Plots: Each sector's RS is plotted with a distinct color for easy identification.
Adjustable Lookback Period: Customize the lookback period for RS calculation.
Interactive Table: A sortable table displays the current RS values for all visible sectors, allowing for quick ranking.
Table Customization: Adjust the table's position, text size, and visibility.
Zero Line: A horizontal line at zero provides a reference point for RS values.
🧭 How to Use 🗺️
Add the indicator to your TradingView chart.
Select your desired benchmark symbol. The default is `NSE:CNX100`. For example, use SPY for the US market, or DAX for the German market.
Adjust the lookback period as needed.
Enable/disable the sector indices you want to analyze. The default includes major NSE sector indices like `NSE:CNXIT`, `NSE:CNXAUTO`, etc.
Customize the table's appearance as needed.
Observe the RS plots and the table to identify sectors with relative strength or weakness.
📝 Note 💡
This indicator is designed for sectorial analysis. You can use it with any market by selecting the appropriate benchmark and sector indices.
The default settings are configured for the Indian stock market with `NSE:CNX100` as the benchmark and major NSE sector indices pre-selected.
The relative strength calculation is based on the price change of the sector index compared to the benchmark over the lookback period.
Positive RS values indicate relative outperformance, while negative values indicate relative underperformance.
👨💻 Developer 🛠️
Afnan Tajuddin
VWAP SlopeThis script calculates and displays the slope of the Volume Weighted Average Price (VWAP) . It compares the current VWAP with its value from a user-defined lookback period to determine the slope. The slope is color-coded: green for an upward trend (positive slope) and red for a downward trend (negative slope) .
Key Points:
VWAP Calculation: The script calculates the VWAP based on a user-defined timeframe (default: daily), which represents the average price weighted by volume.
Slope Determination: The slope is calculated by comparing the current VWAP to its value from a previous period, providing insight into market trends.
Color-Coding: The slope line is color-coded to visually indicate the market direction: green for uptrend and red for downtrend.
This script helps traders identify the direction of the market based on VWAP , offering a clear view of trends and potential turning points.
VWAP - TrendThis Pine Script calculates the Volume Weighted Average Price (VWAP) for a specified timeframe and plots its Linear Regression over a user-defined lookback period . The regression line is color-coded: green indicates an uptrend and red indicates a downtrend. The line is broken at the end of each day to prevent it from extending into the next day, ensuring clarity on a daily basis.
Key Features:
VWAP Calculation: The VWAP is calculated based on a selected timeframe, providing a smoothed average price considering volume.
Linear Regression: The script calculates a linear regression of the VWAP over a custom lookback period to capture the underlying trend.
Color-Coding: The regression line is color-coded to easily identify trends—green for an uptrend and red for a downtrend.
Day-End Break: The regression line breaks at the end of each day to prevent continuous plotting across days, which helps keep the analysis focused within daily intervals.
User Inputs: The user can adjust the VWAP timeframe and the linear regression lookback period to tailor the indicator to their preferences.
This script provides a visual representation of the VWAP trend, helping traders identify potential market directions and turning points based on the linear regression of the VWAP.
Breakout Point Highlighting//@version=6
indicator("Breakout Point Highlighting", overlay=true)
// Input: Lookback period for finding breakout points
lookbackPeriod = input.int(20, title="Lookback Period", minval=1)
// Calculate the highest high and lowest low over the lookback period
highestHigh = ta.highest(high, lookbackPeriod)
lowestLow = ta.lowest(low, lookbackPeriod)
// Breakout conditions: price breaks above the highest high or below the lowest low
breakoutUp = close > highestHigh
breakoutDown = close < lowestLow
// Plot the breakout points
plotshape(breakoutUp, color=color.green, style=shape.triangleup, location=location.belowbar, title="Breakout Up", size=size.small)
plotshape(breakoutDown, color=color.red, style=shape.triangledown, location=location.abovebar, title="Breakout Down", size=size.small)
// Highlight the breakout zones
bgcolor(breakoutUp ? color.new(color.green, 90) : na, title="Breakout Up Highlight")
bgcolor(breakoutDown ? color.new(color.red, 90) : na, title="Breakout Down Highlight")
// Alert conditions
alertcondition(breakoutUp, title="Breakout Up Alert", message="Price has broken above the highest high.")
alertcondition(breakoutDown, title="Breakout Down Alert", message="Price has broken below the lowest low.")
Salience Theory Crypto Returns (AiBitcoinTrend)The Salience Theory Crypto Returns Indicator is a sophisticated tool rooted in behavioral finance, designed to identify trading opportunities in the cryptocurrency market. Based on research by Bordalo et al. (2012) and extended by Cai and Zhao (2022), it leverages salience theory—the tendency of investors, particularly retail traders, to overemphasize standout returns.
In the crypto market, dominated by sentiment-driven retail investors, salience effects are amplified. Attention disproportionately focused on certain cryptocurrencies often leads to temporary price surges, followed by reversals as the market stabilizes. This indicator quantifies these effects using a relative return salience measure, enabling traders to capitalize on price reversals and trends, offering a clear edge in navigating the volatile crypto landscape.
👽 How the Indicator Works
Salience Measure Calculation :
👾 The indicator calculates how much each cryptocurrency's return deviates from the average return of all cryptos over the selected ranking period (e.g., 21 days).
👾 This deviation is the salience measure.
👾 The more a return stands out (salient outcome), the higher the salience measure.
Ranking:
👾 Cryptos are ranked in ascending order based on their salience measures.
👾 Rank 1 (lowest salience) means the crypto is closer to the average return and is more predictable.
👾 Higher ranks indicate greater deviation and unpredictability.
Color Interpretation:
👾 Green: Low salience (closer to average) – Trending or Predictable.
👾 Red/Orange: High salience (far from average) – Overpriced/Unpredictable.
👾 Text Gradient (Teal to Light Blue): Helps visualize potential opportunities for mean reversion trades (i.e., cryptos that may return to equilibrium).
👽 Core Features
Salience Measure Calculation
The indicator calculates the salience measure for each cryptocurrency by evaluating how much its return deviates from the average market return over a user-defined ranking period. This measure helps identify which assets are trending predictably and which are likely to experience a reversal.
Dynamic Ranking System
Cryptocurrencies are dynamically ranked based on their salience measures. The ranking helps differentiate between:
Low Salience Cryptos (Green): These are trending or predictable assets.
High Salience Cryptos (Red): These are overpriced or deviating significantly from the average, signaling potential reversals.
👽 Deep Dive into the Core Mathematics
Salience Theory in Action
Salience theory explains how investors, particularly in the crypto market, tend to prefer assets with standout returns (salient outcomes). This behavior often leads to overpricing of assets with high positive returns and underpricing of those with standout negative returns. The indicator captures these deviations to anticipate mean reversions or trend continuations.
Salience Measure Calculation
// Calculate the average return
avgReturn = array.avg(returns)
// Calculate salience measure for each symbol
salienceMeasures = array.new_float()
for i = 0 to array.size(returns) - 1
ret = array.get(returns, i)
salienceMeasure = math.abs(ret - avgReturn) / (math.abs(ret) + math.abs(avgReturn) + 0.1)
array.push(salienceMeasures, salienceMeasure)
Dynamic Ranking
Cryptos are ranked in ascending order based on their salience measures:
Low Ranks: Cryptos with low salience (predictable, trending).
High Ranks: Cryptos with high salience (unpredictable, likely to revert).
👽 Applications
👾 Trend Identification
Identify cryptocurrencies that are currently trending with low salience measures (green). These assets are likely to continue their current direction, making them good candidates for trend-following strategies.
👾 Mean Reversion Trading
Cryptos with high salience measures (red to light blue) may be poised for a mean reversion. These assets are likely to correct back towards the market average.
👾 Reversal Signals
Anticipate potential reversals by focusing on high-ranked cryptos (red). These assets exhibit significant deviation and are prone to price corrections.
👽 Why It Works in Crypto
The cryptocurrency market is dominated by retail investors prone to sentiment-driven behavior. This leads to exaggerated price movements, making the salience effect a powerful predictor of reversals.
👽 Indicator Settings
👾 Ranking Period : Number of bars used to calculate the average return and salience measure.
Higher Values: Smooth out short-term volatility.
Lower Values: Make the ranking more sensitive to recent price movements.
👾 Number of Quantiles : Divide ranked assets into quantile groups (e.g., quintiles).
Higher Values: More detailed segmentation (deciles, percentiles).
Lower Values: Broader grouping (quintiles, quartiles).
👾 Portfolio Percentage : Percentage of the portfolio allocated to each selected asset.
Enter a percentage (e.g., 20 for 20%), automatically converted to a decimal (e.g., 0.20).
Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Loacally Weighted MA (LWMA) Direction HistogramThe Locally Weighted Moving Average (LWMA) Direction Histogram indicator is designed to provide traders with a visual representation of the price momentum and trend direction. This Pine Script, written in version 6, calculates an LWMA by assigning higher weights to recent data points, emphasizing the most current market movements. The script incorporates user-defined input parameters, such as the LWMA length and a direction lookback period, making it flexible to adapt to various trading strategies and preferences.
The histogram visually represents the difference between the current LWMA and a previous LWMA value (based on the lookback period). Positive values are colored blue, indicating upward momentum, while negative values are yellow, signaling downward movement. Additionally, the script colors candlesticks according to the histogram's value, enhancing clarity for users analyzing market trends. The LWMA line itself is plotted on the chart but hidden by default, enabling traders to toggle its visibility as needed. This blend of histogram and candlestick visualization offers a comprehensive tool for identifying shifts in momentum and potential trading opportunities.
Zero-Lag MA CandlesThe Zero-Lag MA Candles indicator combines the efficiency of a Zero-Lag Moving Average (ZLMA) with dynamic candlestick coloring to provide a clear visual representation of market trends. By leveraging a dual EMA-based calculation, the ZLMA achieves reduced lag, enhancing its responsiveness to price changes. The indicator plots candles on the chart with colors determined by the trend direction of the ZLMA over a user-defined lookback period. Blue candles signify an uptrend, while yellow candles indicate a downtrend, offering traders an intuitive way to identify market sentiment.
This indicator is particularly useful for trend-following strategies, as the crossover and crossunder between the ZLMA and the standard EMA highlight potential reversal points or trend continuation zones. With customizable inputs for ZLMA length, trend lookback period, and color schemes, it caters to diverse trading preferences. Its ability to plot directly on the chart ensures seamless integration with other analysis tools, making it a valuable addition to a trader's toolkit.
Happy trading...
