RSI Oversold ScannerPine Script Description for TradingView Publication
Title: RSI Oversold Scanner (1m, 5m, 15m)
Description:
The RSI Oversold Scanner is a powerful tool designed to identify stocks that are simultaneously oversold on the 1-minute, 5-minute, and 15-minute timeframes, based on the Relative Strength Index (RSI). This script is ideal for traders seeking short-term reversal or momentum opportunities across multiple intraday timeframes.
Key Features:
Multi-Timeframe RSI Analysis: Calculates RSI (default length: 14) on the 1m, 5m, and 15m timeframes and checks if all are below the oversold threshold (default: 30).
Visual Output: Displays a table in the top-right corner showing RSI values and oversold status ("Yes" or "No") for each timeframe, making it easy to verify conditions.
Scan Result: Plots a value of 1 when all three timeframes are oversold, or 0 otherwise, enabling quick identification of matching stocks.
Alert Support: Includes an alert condition that triggers when a stock is oversold on all timeframes, with a customizable message for real-time notifications.
User-Friendly: Built with Pine Script v6 for compatibility and reliability, with clear visual feedback for traders of all levels.
How It Works:
The script uses ta.rsi to compute RSI on the current chart’s timeframe (1m) and request.security to fetch RSI data for the 5m and 15m timeframes.
It checks if RSI is below the oversold level (default: 30) on all three timeframes.
A table displays the RSI values and oversold status for easy debugging.
The Scan Result plot (1 or 0) indicates whether the stock meets the oversold criteria, which can be used for manual scanning or alerts.
Usage Instructions:
Add the script to your chart via Pine Editor.
Use a watchlist to switch between stocks and check the table or Scan Result for oversold conditions.
Set alerts by selecting the script’s Scan Result condition (value = 1) to get notified when a stock is oversold on all timeframes.
Customize the RSI length or oversold level in the script’s code if needed (e.g., change rsiLength or oversoldLevel).
Notes:
Best used on intraday charts (e.g., 1m or higher) with a watchlist for manual scanning, as TradingView’s Stock Screener does not directly support custom Pine Scripts.
Real-time alerts and intraday data may require a TradingView paid plan.
The script uses only two request.security calls, staying well within Pine Script’s limits.
Ideal For:
Day traders and swing traders looking for oversold stocks across multiple intraday timeframes.
Users who want to combine technical analysis with visual and alert-based confirmation.
Cari dalam skrip untuk "screener"
Unusual Whale - Unusual Options Volume Data ScreenerHow to Use:
Custom Expiration Date: Use the calendar/date picker to select the expiration date. The chosen date is automatically converted to the "YYMMDD" format.
Custom Base Strike: Enter a round strike value from the options chain (for example, "270"). This value serves as the starting point (at-the-money) for the scan.
Strike Increment: Select the increment (e.g., 0.50, 1.00, 2.5, 5, or 10) to determine how the scan moves outward from the custom base strike.
Options per Side (Max 20): Choose the number of valid option strikes to scan on each side. The script scans downward (for calls) and upward (for puts) from the custom base strike.
Base Symbol: The base symbol is always taken from the chart (using syminfo.ticker); no manual entry is needed.
Scanning & Aggregation: The script automatically constructs option symbols using the base symbol, custom expiration date, option type (C or P), and the formatted strike. It retrieves volume data for these options and aggregates the cumulative volume for calls and puts separately.
Plotting: Cumulative call volume is plotted in green, and cumulative put volume is plotted in red—only if the required number of valid options is found.
Benefits of Scanning Options Volume for Unusual Activity:
Offers a comprehensive view of volume across multiple strikes, making unusual or extreme volume patterns easier to detect.
Helps gauge market sentiment by comparing aggregated call and put volumes, which may signal shifts in investor behavior.
Aggregating volume from several strike levels provides smoother, more reliable data than using a single strike, enhancing your analytical insights.
What to Do If Combinations Don't Yield Results:
Verify Your Inputs: Ensure that the Custom Base Symbol, Expiration Date, and Custom Base Strike are entered correctly and correspond to an active options chain.
Adjust Strike Increment: If the options aren’t loading as expected, try selecting a different strike increment that more closely matches the spacing in your options chain.
Reduce Options per Side: Lower the number of Options per Side (e.g., from 20 to a lower value) if the scan fails to find enough valid strikes.
Review Your Options Chain: Confirm that the contracts for the specified expiration and strike range exist and are available in your data feed.
Check Data Subscription: Make sure your TradingView plan includes access to the options data required for the selected symbols.
Cumulative Call Volume is Green, Put Volume is Red
Cartera SuperTrends v4 PublicDescription
This script creates a screener with a list of ETFs ordered by their average ROC in three different periods representing 4, 6 and 8 months by default. The ETF
BIL
is always included as a reference.
The previous average ROC value shows the calculation using the closing price from last month.
The current average ROC value shows the calculation using the current price.
The previous average column background color represents if the ETF average ROC is positive or negative.
The current average column background color represents if the ETF average ROC is positive or negative.
The current average column letters color represents if the current ETF average ROC is improving or not from the previous month.
Changes from V2 to V3
Added the option to make the calculation monthly, weekly or daily
Changes from V3 to V4
Adding up to 25 symbols
Highlight the number of tickers selected
Highlight the sorted column
Complete refactor of the code using a matrix of arrays
Options
The options available are:
Make the calculation monthly, weekly or daily
Adjust Data for Dividends
Manual calculation instead of using ta.roc function
Sort table
Sort table by the previous average ROC or the current average ROC
Number of tickers selected to highlight
First Period in months, weeks or days
Second Period in months, weeks or days
Third Period in months, weeks or days
Select the assets (max 25)
Usage
Just add the indicator to your favorite indicators and then add it to your chart.
HH-HL-HH and LL-LH-LL Screener with AlertsAh, it seems you're referring to "Higher Low Higher High" in the context of **trading signals**! In trading, especially in technical analysis, these terms could be describing patterns or movements of price action that traders use to make decisions.
Let’s break down the terms you mentioned:
### 1. **Higher Low (HL)**:
- A **Higher Low** occurs when the price forms a low point that is higher than the previous low. It indicates upward momentum and suggests that the market may be in an uptrend or reversing to an uptrend.
For example:
- The price hits a low at $50, then rises to $60, then drops to $55. The **$55 low** is higher than the previous $50 low, indicating a potential uptrend.
### 2. **Higher High (HH)**:
- A **Higher High** happens when the price forms a high that is higher than the previous high. This is a strong bullish signal and is typical in an uptrend.
For example:
- The price reaches a peak of $70, drops to $60, then rises to $75. The **$75 high** is higher than the previous $70 high, indicating upward momentum.
### The Sequence: **Higher Low, Higher High (HL-HH)**
- This sequence (HL-HH) suggests that the market is in a **bullish trend**, with each subsequent low being higher than the previous low and each high being higher than the previous high. It’s a confirmation that the price is generally trending upwards, and traders might look for **buying opportunities**.
### 3. **Lower Low (LL)**:
- A **Lower Low** is when the price forms a low that is lower than the previous low, which is typically a sign of downward momentum. Traders may interpret this as a bearish signal.
For example:
- If the price drops from $60 to $55, then falls to $50, the **$50 low** is lower than the previous $55 low, indicating a potential downtrend.
### 4. **Lower High (LH)**:
- A **Lower High** occurs when the price forms a high that is lower than the previous high. This can indicate a weakening uptrend or the start of a downtrend.
For example:
- The price peaks at $70, then drops to $60, and later rises to $65. The **$65 high** is lower than the previous $70 high, suggesting bearish pressure.
### The Sequence: **Lower Low, Lower High (LL-LH)**
- The **LL-LH** pattern suggests a **bearish trend**, where the price forms lower lows and lower highs. This could signal to traders that the price is in a downward movement, and they might look for **selling opportunities**.
---
### Using This in Trading:
Traders often look for **higher highs** and **higher lows** in an uptrend (HL-HH), or **lower lows** and **lower highs** in a downtrend (LL-LH) to gauge market direction and make decisions.
- **Bullish Sign**: Higher Low, Higher High (HL-HH) = Look for buying signals or long positions.
- **Bearish Sign**: Lower Low, Lower High (LL-LH) = Look for selling signals or short positions.
Is this the type of trading signal you’re referring to? Let me know if you'd like to explore how to apply these signals in specific trading strategies!
CHG FROM OPEN %As an intraday trader, I'm more interested in seeing the CHG FROM OPEN % than the CHG % measured from yesterday's close. I overlay this script on a separate Volume pane so it doesn't hide my price chart, and I hide the line since the line isn't particularly useful to me.
This script shows the current real-time CHG FROM OPEN % when you hover outside of the chart during regular trading hours (all times NYC/EST). Hovering over the chart will show you the historical CHG FROM OPEN % and, if extended hours, the CHG FROM OPEN % at the previous close.
You can also find CHG FROM OPEN % in the stock screener, but having it in the chart is more convenient for me.
Uptrick: Portfolio Allocation DiversificationIntro
The Uptrick: Portfolio Allocation Diversification script is designed to help traders and investors manage multiple assets simultaneously. It generates signals based on various trading systems, allocates capital using different diversification methods, and displays real-time metrics and performance tables on the chart. The indicator compares active trading strategies with a separate long-term holding (HODL) simulation, allowing you to see how a systematic trading approach stacks up against a simple buy-and-hold strategy.
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Trading System Selection
1. No signals (none)
In this mode, the script does not produce bullish or bearish indicators; every asset stays in a neutral stance. This setup is useful if you prefer to observe how capital might be distributed based solely on the chosen diversification method, with no influence from directional signals.
2. rsi – neutral
This mode uses an index-based measure of whether an asset appears overbought or oversold. It generates a bearish signal if market conditions point to overbought territory, and a bullish signal if they indicate oversold territory. If neither extreme surfaces, it remains neutral. Some traders apply this in sideways or range-bound conditions, where overbought and oversold levels often hint at possible turning points. It does not specifically account for divergence patterns.
3. rsi – long only
In this setting, the system watches for instances where momentum readings strengthen even if the asset’s price is still under pressure or setting new lows. It also considers oversold levels as potential signals for a bullish setup. When such conditions emerge, the script flags a possible move to the upside, ignoring indications that might otherwise suggest a bearish trend. This approach is generally favored by those who want to concentrate exclusively on identifying price recoveries.
4. rsi – short only
Here, the script focuses on spotting signs of deteriorating momentum while an asset’s price remains relatively high or attempts further gains. It also checks whether the market is drifting into overbought territory, suggesting a potential decline. Under such conditions, it issues a bearish signal. It provides no bullish alerts, making it particularly suitable for traders who look to take advantage of overvalued scenarios or protect themselves against sudden downward moves.
5. Deviation from fair value
Under this system, the script judges how far the current price may have strayed from what is considered typical, taking into account normal fluctuations. If the asset appears to be trading at an unusually low level compared to that reference, it is flagged as bullish. If it seems abnormally high, a bearish signal is issued. This can be applied in various market environments to seek opportunities that arise from perceived mispricing.
6. Percentile channel valuation
In this mode, the script determines where an asset's price stands within a historical distribution, highlighting whether it has reached unusually high or low territory compared to its recent past. When the price reaches what is deemed an extreme reading, it may indicate that a reversal is more likely. This approach is often used by traders who watch for statistical outliers and potential reversion to a more typical trading range.
7. ATH valuation
This technique involves comparing an asset's current price with its previously recorded peak values. The script then interprets whether the price is positioned so far below the all-time high that it looks discounted, or so close to that high that it could be overextended. Such perspective is favored by market participants who want to see if an asset still has ample room to climb before matching historic extremes, or if it is nearing a possible ceiling.
8. Z-score system
Here, the script measures how far above or below a standard reference average an asset's price may be, translated into standardized units. Substantial negative readings can suggest a price that might be unusually weak, prompting a bullish indication, while large positive readings could signal overextension and lead to a bearish call. This method is useful for traders watching for abrupt deviations from a norm that often invite a reversion to more balanced levels.
RSI Divergence Period
This input is particularly relevant for the RSI - Long Only and RSI - Short Only modes. The period determines how many bars in the past you compare RSI values to detect any divergences.
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Diversification Method
Once the script has determined a bullish, bearish, or neutral stance for each asset, it then calculates how to distribute capital among all included assets. The diversification method sets the weighting logic.
1. None
Gives each asset an equal weight. For example, if you have five included assets, each might get 20 percent. This is a simple baseline.
2. Risk-Adjusted Expected Return Using Volatility Clustering
Emphasizes each asset’s average returns relative to its observed risk or volatility tendencies. Assets that exhibit good risk-adjusted returns combined with moderate or lower volatility may receive higher weights than more volatile or less appealing assets. This helps steer capital toward assets that have historically provided a better ratio of return to risk.
3. Relative Strength
Allocates more capital to assets that show stronger price strength compared to a reference (for example, price above a long-term moving average plus a higher RSI). Assets in clear uptrends may be given higher allocations.
4. Trend-Following Indicators
Examines trend-based signals, like positive momentum measurements or upward-trending strength indicators, to assign more weight to assets demonstrating strong directional moves. This suits those who prefer to latch onto trending markets.
5. Volatility-Adjusted Momentum
Looks for assets that have strong price momentum but relatively subdued volatility. The script tends to reward assets that are trending well yet are not too volatile, aiming for stable upward performance rather than massive swings.
6. Correlation-Based Risk Parity
Attempts to weight assets in such a way that the overall portfolio risk is more balanced. Although it is not an advanced correlation matrix approach in a strict sense, it conceptually scales each asset’s weight so no single outlier heavily dominates.
7. Omega Ratio Maximization
Gives preference to assets with higher omega ratios. This ratio can be interpreted as the probability-weighted gains versus losses. Assets with a favorable skew are given more capital.
8. Liquidity-Weighted Valuation
Considers each asset’s average trading liquidity, such as the combination of volume and price. More liquid assets typically receive a higher allocation because they can be entered or exited with lower slippage. If the trading system signals bullishness, that can further boost the allocation, and if it signals bearishness, the allocation might be set to zero or reduced drastically.
9. Drawdown-Controlled Allocation (DCA)
Examines each asset’s maximum drawdown over a recent window. Assets experiencing lighter drawdowns (thus indicating somewhat less downside volatility) receive higher allocations, aiming for a smoother overall equity curve.
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Portfolio and Allocation Settings
Portfolio Value
Defines how much total capital is available for the strategy-based investment portion. For example, if set to 10,000, then each asset’s monetary allocation is determined by the percentage weighting times 10,000.
Use Fixed Allocation
When enabled, the script calculates the initial allocation percentages after 50 bars of data have passed. It then locks those percentages for the remainder of the backtest or real-time session. This feature allows traders to test a static weighting scenario to see how it differs from recalculating weights at each bar.
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HODL Simulator
The script has a separate simulation that accumulates positions in an asset whenever it appears to be recovering from an undervalued state. This parallel tracking is intended to contrast a simple buy-and-hold approach with the more adaptive allocation methods used elsewhere in the script.
HODL Buy Quantity
Each time an asset transitions from an undervalued state to a recovery phase, the simulator executes a purchase of a predefined quantity. For example, if set to 0.5 units, the system will accumulate this amount whenever conditions indicate a shift away from undervaluation.
HODL Buy Threshold
This parameter determines the level at which the simulation identifies an asset as transitioning out of an undervalued state. When the asset moves above this threshold after previously being classified as undervalued, a buy order is triggered. Over time, the performance of these accumulated positions is tracked, allowing for a comparison between this passive accumulation method and the more dynamic allocation strategy.
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Asset Table and Display Settings
The script displays data in multiple tables directly on your chart. You can toggle these tables on or off and position them in various corners of your TradingView screen.
Asset Info Table Position
This table provides key details for each included asset, displaying:
Symbol – Identifies the trading pair being monitored. This helps users keep track of which assets are included in the portfolio allocation process.
Current Trading Signal – Indicates whether the asset is in a bullish, bearish, or neutral state based on the selected trading system. This assists in quickly identifying which assets are showing potential trade opportunities.
Volatility Approximation – Represents the asset’s historical price fluctuations. Higher volatility suggests greater price swings, which can impact risk management and position sizing.
Liquidity Estimate – Reflects the asset’s market liquidity, often based on trading volume and price activity. More liquid assets tend to have lower transaction costs and reduced slippage, making them more favorable for active strategies.
Risk-Adjusted Return Value – Measures the asset’s returns relative to its risk level. This helps in determining whether an asset is generating efficient returns for the level of volatility it experiences, which is useful when making allocation decisions.
2. Strategy Allocation Table Position
Displays how your selected diversification method converts each asset into an allocation percentage. It also shows how much capital is being invested per asset, the cumulative return, standard performance metrics (for example, Sharpe ratio), and the separate HODL return percentage.
Symbol – Displays the asset being analyzed, ensuring clarity in allocation distribution.
Allocation Percentage – Represents the proportion of total capital assigned to each asset. This value is determined by the selected diversification method and helps traders understand how funds are distributed within the portfolio.
Investment Amount – Converts the allocation percentage into a dollar value based on the total portfolio size. This shows the exact amount being invested in each asset.
Cumulative Return – Tracks the total return of each asset over time, reflecting how well it has performed since the strategy began.
Sharpe Ratio – Evaluates the asset’s return in relation to its risk by comparing excess returns to volatility. A higher Sharpe ratio suggests a more favorable risk-adjusted performance.
Sortino Ratio – Similar to the Sharpe ratio, but focuses only on downside risk, making it more relevant for traders who prioritize minimizing losses.
Omega Ratio – Compares the probability of achieving gains versus losses, helping to assess whether an asset provides an attractive risk-reward balance.
Maximum Drawdown – Measures the largest percentage decline from an asset’s peak value to its lowest point. This metric helps traders understand the worst-case loss scenario.
HODL Return Percentage – Displays the hypothetical return if the asset had been bought and held instead of traded actively, offering a direct comparison between passive accumulation and the active strategy.
3. Profit Table
If the Profit Table is activated, it provides a summary of the actual dollar-based gains or losses for each asset and calculates the overall profit of the system. This table includes separate columns for profit excluding HODL and the combined total when HODL gains are included. As seen in the image below, this allows users to compare the performance of the active strategy against a passive buy-and-hold approach. The HODL profit percentage is derived from the Portfolio Value input, ensuring a clear comparison of accumulated returns.
4. Best Performing Asset Table
Focuses on the single highest-returning or highest-profit asset at that moment. It highlights the symbol, the asset’s cumulative returns, risk metrics, and other relevant stats. This helps identify which asset is currently outperforming the rest.
5. Most Profitable Asset
A simpler table that underscores the asset producing the highest absolute dollar profit across the portfolio.
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Multi Asset Selection
You can include up to ten different assets (such as BTCUSDT, ETHUSDT, ADAUSDT, and so on) in this script. Each asset has two inputs: one to enable or disable its inclusion, and another to select its trading pair symbol. Once you enable an asset, the script requests the relevant market data from TradingView.
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Uniqness and Features
1. Multiple Data Fetches
Each asset is pulled from the chart’s timeframe, along with various metrics such as RSI, volatility approximations, and trend indicators.
2. Various Risk and Performance Metrics
The script internally keeps track of different measures, like Sharpe ratio (a measure of average return adjusted for risk), Sortino ratio (which focuses on downside volatility), Omega ratio, and maximum drawdown. These metrics feed into the strategy allocation table, helping you quickly assess the risk-and-return profile of each asset.
3. Real-Time Tables
Instead of having to set up complex spreadsheets or external dashboards, the script updates all tables on every new bar. The color schemes in these tables are designed to draw attention to bullish or bearish signals, positive or negative returns, and so forth.
4. HODL Comparison
You can visually compare the active strategy’s results to a separate continuous buy-on-dips accumulation strategy. This allows for insight into whether your dynamic approach truly beats a simpler, more patient method.
5. Locking Allocations
The Use Fixed Allocation input is convenient for those who want to see how holding a fixed distribution of capital performs over time. It helps in distinguishing between constant rebalancing vs a fixed, set-and-forget style.
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How to use
1. Add the Script to Your Chart
Once added, open the settings panel to configure your asset list, choose a trading system, and select the diversification approach.
2. Select Assets
Pick up to ten symbols to monitor. Disable any you do not want included. Each included asset is then handled for signals, diversification, and performance metrics.
3. Choose Trading System
Decide if you prefer RSI-based signals, a fair-value approach, or a percentile-based method, among others. The script will then flag assets as bullish, bearish, or neutral according to that selection.
4. Pick a Diversification Method
For example, you might choose Trend-Following Indicators if you believe momentum stocks or cryptocurrencies will continue their trends. Or you could use the Omega Ratio approach if you want to reward assets that have had a favorable upside probability.
5. Set Portfolio Value and HODL Parameters
Enter how much capital you want to allocate in total (for the dynamic strategy) and adjust HODL buy quantities and thresholds as desired. (HODL Profit % is calculated from the Portfolio Value)
6. Inspect the Tables
On the chart, the script can display multiple tables showing your allocations, returns, risk metrics, and which assets are leading or lagging. Monitor these to make decisions about capital distribution or see how the strategy evolves.
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Additional Remarks
This script aims to simplify multi-asset portfolio management in a single tool. It emphasizes user-friendliness by color-coding the data in tables, so you do not need extra spreadsheets. The script is also flexible in letting you lock allocations or compare dynamic updates.
Always remember that no script can guarantee profitable outcomes. Real markets involve unpredictability, and real trading includes fees, slippage, and liquidity constraints not fully accounted for here. The script uses real-time and historical data for demonstration and educational purposes, providing a testing environment for various systematic strategies.
Performance Considerations
Due to the complexity of this script, users may experience longer loading times, especially when handling multiple assets or using advanced allocation methods. In some cases, calculations may time out if too many settings are adjusted simultaneously. If this occurs, removing and reapplying the indicator to the chart can help reset the process. Additionally, it is recommended to configure inputs gradually instead of adjusting all parameters at once, as excessive changes can extend the script’s loading duration beyond TradingView’s processing limits.
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Originality
This script stands out by integrating multiple asset management techniques within a single indicator, eliminating the need for multiple scripts or external portfolio tools. Unlike traditional single-asset strategies, it simultaneously evaluates multiple assets, applies systematic allocation logic, and tracks risk-adjusted performance in real time. The script is designed to function within TradingView’s script limitations while still allowing for complex portfolio simulations, making it an efficient tool for traders managing diverse holdings. Additionally, its combination of systematic trading signals with allocation-based diversification provides a structured approach to balancing exposure across different market conditions. The dynamic interplay between adaptive trading strategies and passive accumulation further differentiates it from conventional strategy indicators that focus solely on directional signals without considering capital allocation.
Conclusion
Uptrick: Portfolio Allocation Diversification pulls multiple assets into one efficient workflow, where each asset’s signal, volatility, and performance is measured, then assigned a share of capital according to your selected diversification method. The script accommodates both dynamic rebalancing and a locked allocation style, plus an ongoing HODL simulation for passive accumulation comparison. It neatly visualizes the entire process through on-chart tables that are updated every bar.
Traders and investors looking for ways to manage multiple assets under one unified framework can explore the different modules within this script to find what suits their style. Users can quickly switch among trading systems, vary the allocation approach, or review side-by-side performance metrics to see which method aligns best with their risk tolerance and market perspective.
Momentum Theory Quick BiasMomentum Theory Quick Bias is a watchlist screener tool for rapid multi-timeframe analysis. It displays a variety of information from higher timeframes in order to set a directional bias including: breakout levels, peak levels, previous bar closes, and swing points.
✅ 8 Symbol Watchlist Scanner
✅ Quickly Set Directional Bias
✅ For Scalpers, Day Traders, and Swing Traders
--- 📷 INDICATOR GALLERY ---
--- 🚀 QUICK LOOK ---
✔ Multi-Timeframe Analysis
Displays various higher timeframe information in order to read how an asset is moving with one quick glance. Utilizes icons and colors that serve as visual cues.
--- ⚡ FEATURES ---
✔ Breakout Bias
Shows if the current price is above or below the breakout level on the timeframe.
✔ Peak Bias
Shows if the current previous peak has been triggered and where price is relative to it.
✔ Previous Bar Close
Shows how the previous bar closed and whether it's bullish or bearish.
Breakout
Fakeout
Inside
Outside
✔ Swing Point
Shows if the timeframe has currently flipped its breakout level.
✔ Bias Alignment
Shows visual icons if there is bias alignment between the timeframes.
↗️↘️ Breakout Bias Alignment
🔼🔽 Peak Bias Alignment
🔀 Breakout and Peak Bias Alignment, but opposite
✅ Breakout and Peak Bias Alignment
✔ Quick Analysis
Hover over the symbol name to view which timeframe levels are bullish or bearish and if peak levels have been triggered.
--- 🔥 OTHER FEATURES ---
✔ Built-In Presets
Create your own custom watchlist or use one of the built-in ones (using Oanda charts)
It's recommended to use the same source for all assets in your watchlist whenever possible
✔ Customized Layouts
Display the watchlist in a variety of different column arrangements.
✔ Dark and Light Modes
Adjustable theme colors to trade your chart the way you want.
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. Just fill in your watchlist, add it to your chart, and start trading!
Set the indicator to the following timeframes to view those arrangements:
Month Timeframe - Y / 6M / 3M / M
Week Timeframe - 6M / 3M / M / W
Day Timeframe - 3M / M / W / D
H4 Timeframe - Y / M / W / D
M15 Timeframe - M / W / D / H8
M10 Timeframe - M / W / D / H4
M5 Timeframe - W / D / H8 / H2
M3 Timeframe - W / D / H4 / H1
M2 Timeframe - D / H8 / H2 / M30
M1 Timeframe - D / H4 / H1 / M15
--- 📝 HOW TO USE ---
1) Create your watchlist or use one of the built-in presets and place it on the timeframe you want to see. If no watchlist is created, it automatically sets to the current asset.
2) Alignments will trigger in real-time and push to the top of the column.
It is recommended to place the indicator in a different chart window, so it won't have to refresh every time the asset or timeframe changes.
Ultimate Market Rhythm Scanner FXReady to feel like a chart-wielding wizard? The Ultimate Market Rhythm Scanner FX is here to supercharge your Forex analysis by piping in multi-timeframe goodness from up to 10 OANDA currency pairs. You’ll see structure breakouts, Ichimoku signals, MACD pulses, RSI/Bollinger momentum waves, and candlestick patterns—all at once.
Think of it as your own personal mission control dashboard, scanning the FX galaxy and beaming back color-coded signals so you know instantly where the market action is hottest. Remember, to keep the data aligned, you’ll want to load this indicator on an OANDA FX pair chart (like OANDA:EURUSD) so everything lines up perfectly behind the scenes.
Key Features
Market Structure Wizardry
Locates pivot highs and lows (Higher High, Lower Low, etc.)
Spots breakouts above/below these pivots
Shouts out “CHoCH” (Change of Character) when structure flips from bullish to bearish (or vice versa)
If you want to understnd more about the market structure logic in this script check out my other script, it uses the same logic:
Tracks price above/below the Ichimoku Cloud
Flags Tenkan/Kijun crosses for bullish or bearish setups
MACD & SMI Insights
MACD line vs. Signal Cross & crossing the Zero line
SMI crosses in overbought/oversold “zones” (because pure oscillator mania is cool)
Momentum Radar
Mashes up RSI + Bollinger + Ichimoku for either “Bullish,” “Bearish,” or “Neutral”
Also checks a separate Daily timeframe for cosmic perspective
Candlestick Pattern Goodness
Detects common candle formations (Hammer, Hanging Man, Marubozu, etc.)
Tells you exactly how many bars ago they flashed their signals
Time Fade Magic
Recent signals shine bright
Older signals fade out like invisible ninjas after a user-defined number of bars
Explanation of Settings
Below lies the control panel for your new chart-snooping sidekick:
Symbol Settings (Symbol 1...Symbol 10)
Select multiple FX OANDA pairs (like OANDA:AUDUSD).
Each pair spawns a new column in the scanner table.
Ensure your chart is also set to an OANDA pair—the script only speaks “OANDA.”
Ichimoku Settings
Use Ichimoku Filter: Toggles everything Ichimoku.
conversionPeriods, basePeriods, laggingSpan2Periods, displacement: The classic Ichimoku parameters to mold your cloud magic.
Pivot Logic
Pivot Source: Wicks vs. Closes for pivot detection.
BOS Confirmation: If you prefer breakouts confirmed by wicks or closes.
Left Swing Length: Bars left for pivots.
Right Swing Length High / Low: Bars right for pivot confirmation.
Invert Right Swing in Bearish Trend: Auto-flip logic when gloom takes over. This means right swing size high value will become right swing size low value in a bearish trend (determined by latest CHoCH).
RSI & Bollinger
RSI Period: The heartbeat of RSI.
RSI Overbought / Oversold: Thresholds for RSI mania.
BB Length / StdDev: The Bollinger band radius for measuring price expansions.
MACD
fastLength, slowLength, signalLength: The trifecta that shapes your MACD wave.
SMI Settings
Nested variables for SMI’s K, D, and EMA lengths.
Overbought and Oversold levels for zone detection.
Time Display Settings
Fade out old signals: Turn the fade effect on/off.
Fade After X Bars: The number of bars after which signals do a ghost trick.
Fade Transparency: How ghostly (0–100) those old signals become.
Table Settings
Show Table: Summon or banish the entire scanner table.
Table Position: Choose the quadrant for your new data-loving sidekick.
Table Text Size: Big or small text for those crucial signals.
Table Layout
With “Show Table” on, a futuristic readout appears, listing:
Columns: Each symbol’s name runs across the top (up to 10).
Rows: A row for each technical aspect, such as:
Last Pivot (pivot) – The most recent pivot type (HH, HL, LH, LL) and how many bars ago.
Last CHoCH – Crows “▲/▼ X bars ago” if structure reversed.
Ichi Cloud (ichi) – Tells you if price soared above or dived below the Cloud.
Multi Mom D (momentum_d) – A daily momentum label (Bullish/Bearish/Neutral). It shows you daily momentum even on times frames lower than the daily. Multi Mom D is not reliable if the chart is on a time frame higher than the daily.
Multi Mom (momentum) – Current timeframe momentum label.
SMI ZONE (smizone) – If SMI’s in a bullish or bearish zone.
MACD 0 LINE (macdzero) – Number of bars since crossing zero.
SMI CROSS (smicross) – A bullish or bearish cross in overbought/oversold territory.
TK Cross (tk) – Tenkan/Kijun cross and how many bars ago.
MACD Cross (macd) – MACD crossing above/below its signal line.
Last Pattern (lastpat) – The candle pattern found and bars since it popped.
Pattern (pattype) – The name of that pattern (Hammer, Hanging Man, etc.).
Each cell can be tinted in a blue-ish glow for bullish vibes, or a purple shade for bearish signals. The “bars ago” text helps you see how fresh the signal is—fewer bars = more relevant.
Usage Notes
OANDA Chart is King
Always apply this indicator on an OANDA-based chart (e.g., OANDA:GBPJPY). If you deviate, the script might not retrieve data properly from the OANDA feed.
Symbol List
For each of the symbols inputs, pick your favorite currency crosses (all from the OANDA universe).
Timeframes
The script runs on your current chart’s timeframe for near-term action.
It simultaneously checks the daily timeframe to measure high-level momentum.
Fade-Out Feature
By default, signals older than 5 bars fade out. Adjust in “Time Display Settings” if you want them to linger.
Confluence is King
If a pivot breakout, bullish Ichimoku cross, and an SMI overbought cross all light up at once, you might have a short-term rocket on your hands. Always confirm with your trading plan!
Summary
Embrace your inner data nerd with the Market Rhythm Scanner FX—the ultimate multi-asset intelligence platform for OANDA Forex pairs. From subtle pivot changes to daily momentum shifts, from candle patterns to MACD fireworks, it’s all consolidated into one easy-to-digest control panel.
Step 1: Load up an OANDA chart (like “OANDA:EURUSD”).
Step 2: Enter your chosen OANDA pairs under “Symbol Settings.”
Step 3: Geek out over the instant real-time multi-indicator table, letting you see which instruments are sizzling or fizzling.
No more frantic tab-hopping. Save your mental bandwidth for the big decisions.
Let the Ultimate Market Rhythm Scanner FX be your ever-watchful sidekick, scanning the charts so you can conquer the Forex battlefield like the tech-savvy champion you are!
This script is free to use at present, but I reserve the right to move it behind a paywall in the future.
Momentum Theory ScannerMomentum Theory Scanner is a mechanical pattern-recognition watchlist screener that utilizes higher timeframe breakout and peak levels to determine if an asset fits the criteria for a range, continuation, or reversal setup. It searches for ideal higher timeframe conditions that are usually present in high probability setups in order to reduce pre-market analysis time. It can be equally useful for scalpers, day traders, and swing traders.
✅ 8 Symbol Watchlist Scanner
✅ Mechanical Setups for Ranges, Continuations, Reversals
✅ For Scalpers, Day Traders, and Swing Traders
⚠️ Momentum Theory Scanner searches for assets that have the ideal conditions to trade a specific setup. They are NOT signals to be taken blindly without further analysis.
--- 📷 INDICATOR GALLERY ---
--- ⚡ FEATURES ---
✔ Multi-Timeframe Analysis
Displays various higher timeframe information in order to read how an asset is moving with one quick glance. Utilizes icons that serve as visual cues.
Watchlist Pair - Symbol in the watchlist
Setup Type - Shows the icon of what setup has been found ⭐ Trend Breakout
✨ Trend Breakout (Continuation)
🔥 Continuation
🚧 Range
🚩 Reversal
Quick Analysis - Displays bullish / bearish confluence based on breakout / peak bias ↗️↘️ Breakout Bias Alignment
🔼🔽 Peak Bias Alignment
🔀 Breakout and Peak Bias Alignment, but opposite
✅ Breakout and Peak Bias Alignment
Previous Bar Close - Shows how the previous bar closed Breakout
Fakeout
Inside
Outside
Trigger Type - Shows whether there is a peak breakout or fakeout ⚡ Peak Fakeout
🚀 Peak Breakout
Breakout Continuation - Shows if a timeframe has pulled back to the breakout level ▲▼ Counter-Trend Breakout
★ Breakout Continuation
Momentum Cycles - Shows which part of the momentum cycle price is currently in 🚩 Breakout Reversal
⛰️ False Breakout
🔥 Trend Reversal / Breakout Continuation
Breakout / Peak Bias - Shows the breakout level bias and if the peak has been triggered
✔ Levels Analysis
Hover over the symbol name to view which timeframe levels are bullish or bearish and if peak levels have been triggered.
✔ Built-In Presets
Create your own custom watchlist or use one of the built-in ones (using Oanda charts)
It's recommended to use the same source for all assets in your watchlist whenever possible
✔ Plug-and-Play
Automatically changes the relevant levels depending on the viewed timeframe. Just fill in your watchlist, add it to your chart, and start trading!
Set the indicator to the following timeframes to view those setups. When the momentum timeframe's peak is triggered, the watchlist state changes.
Month Timeframe - 12M / 6M / 3M / Month Momentum
Week Timeframe - 6M / 3M / M / Week Momentum
H1 Timeframe - 3M / M / W / Day Momentum
M20 Timeframe - M / W / D / H12 Momentum
M15 Timeframe - M / W / D / H8 Momentum
M10 Timeframe - M / W / D / H4 Momentum
M5 Timeframe - W / D / H8 / H2 Momentum
M3 Timeframe - D / H8 / H4 / H1 Momentum
--- 🧰 WATCHLIST STATES ---
⭐ Trend Breakout Setup
✨ Trend Breakout (Continuation) Setup
🔥 Continuation Setup
🚧 Range Setup
🚩 Reversal Setup
✔ Signal Bar
Ideal conditions to trade this setup are present, but has not met full setup criteria yet
✔ Signal Cycle
Asset has pulled back towards breakout level and possibly getting ready for a continuation
✔ No Setups
--- 💡 MOMENTUM THEORY CONCEPT ---
The best trade setups are found at swing points for 3 reasons:
They are the highest probability point the market will continue pushing.
They provide the best Stop Loss protection.
They offer the greatest Risk-to-Reward.
The goal of trading is to identify when these swing points occur to take the best trade setups.
Every swing point consists of a push towards a peak, a peak formation, and a push away from a peak. There is no way to know how long a push towards or away from a peak will last, but the peak formation can be identified by 2 elements:
A fakeout of a previous peak level
A flip of its last breakout level
We can track the movement of the market by looking at which peak level is triggered relative to its breakout level. How price behaves at the previous peak levels shows where momentum is headed. It continues to build towards a new peak until it fakes out the previous peak level and flips its breakout level, creating a swing point.
Swing points on the higher timeframes show up as multiple swing points on the lower timeframes, but they often won't be moving in sync. When 2 timeframe swing points get in alignment, the market will move smoothly together. You find the lower timeframe swing point the exact same way you find the higher timeframe one.
The market is constantly moving from one swing point to the next in a repeatable cycle. By using higher timeframe breakout levels and peak levels triggered, we can track where we are in this cycle to anticipate its future movement. This is the Momentum Cycle and it repeats itself over and over.
By using the exact same concept, we can identify mechanical alignment patterns on the lower timeframes to create setups that work in every phase of the market cycle. Momentum Theory Scanner searches for these patterns inside the watchlist.
✔ Range Setups
✔ Continuation Setups
✔ Reversal Setups
--- 📝 HOW TO USE ---
⚠ Click on "Indicators > Invite-Only > Momentum Theory Scanner" to add it to your charts.
1) Create your watchlist or use one of the built-in presets and place it on the timeframe you want to scan for setups (see Features above).
Put multiple together if you want more than 8 items in the watchlist. If you don't want to see the price chart, go to "Object Tree and Data Window" and turn off chart visibility.
2) Signal bars / cycles indicate that ideal conditions exist, but are not fully triggered yet. These are the pairs that should initially be focused on.
3) Setups will trigger in real-time and push to the top of the column.
⚠️ Momentum Theory Scanner searches for assets that have the ideal conditions to trade a specific setup. They are NOT signals to be taken blindly without further analysis.
200WMA ScreenerDescription:
This custom indicator helps identify stocks trading below their 200-week moving average (200WMA), a key technical indicator often used to analyze long-term trends. The script calculates the 200WMA using weekly close prices and provides the following features:
Visual Plot: Displays the 200WMA as a smooth line on the chart for easy trend analysis.
Background Highlight: Automatically highlights the chart background when the current price is below the 200WMA, signaling a potential bearish trend or undervalued stock.
Alert System: Includes an alert condition to notify you when a stock trades below its 200WMA, so you never miss an opportunity.
Compatibility: Works across all assets (stocks, forex, crypto) and automatically adapts to the selected ticker.
This script is ideal for traders and investors looking for long-term opportunities, identifying potential trend reversals, or spotting undervalued stocks.
Landry Light Pine ScannerLandry Light Pine Scanner
The Landry Light Pine Scanner is a comprehensive technical analysis tool designed to identify stocks showing strong upward trends based on the Landry Light methodology. It scans for stocks where:
Today's low and yesterday's low are above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA 50 is above SMA 150, and SMA 150 is above SMA 200 (a strong bullish SMA hierarchy).
Features:
Trend Detection: Automatically highlights stocks with strong bullish trends based on EMA and SMA alignment.
Customizable Inputs: Users can adjust EMA and SMA lengths to fit their trading style.
Visual Clarity: Plots the 30 EMA, SMA 50, SMA 150, and SMA 200 directly on the chart for easy analysis.
Alert Ready: Integrated with TradingView's alert system to notify users when the conditions are met.
Chart Highlights: Automatically highlights bars that meet the conditions with a subtle green background.
Use Case:
This indicator is ideal for swing traders and position traders looking for potential breakout opportunities. By filtering stocks with a bullish structure, traders can focus on high-probability setups.
Conditions Used:
30 EMA Conditions:
Today's low is above the 30 EMA.
Yesterday's low is above the 30 EMA.
The low from two days ago is below the 30 EMA.
SMA Hierarchy:
SMA 50 is above SMA 150.
SMA 150 is above SMA 200.
Customization Options:
30 EMA Length: Adjustable to match user preferences.
SMA Lengths: SMA 50, SMA 150, and SMA 200 lengths are customizable for flexibility.
Alerts:
Users can set alerts for when the defined conditions are met, making it easy to monitor multiple stocks.
How to Use:
Apply the Indicator:
Add the indicator to your TradingView chart.
Set Alerts:
Use the built-in alert condition for automated notifications.
Analyze Trends:
Look for green-highlighted bars indicating stocks meeting the criteria.
Screen Stocks:
Use this tool as part of your screener to filter stocks efficiently.
Note:
This indicator does not provide buy or sell signals. Always combine it with other technical and fundamental analysis for informed trading decisions.
Publishing Tags:
Landry Light, EMA, SMA, Trend Analysis, Swing Trading, Position Trading, Technical Analysis, Breakout Scanner, TradingView, Pine Script
Swing Structure Scanner [LuxAlgo]The Swing Structure Scanner Indicator is a dashboard type indicator which displays a Consolidated "High/Low-Only" view of swing structure, with the capability to retrieve and display swing points from up to 6 different tickers and timeframes at once.
🔶 USAGE
This indicator displays swing structure data from up to 6 unique tickers or timeframes; Each graph represents the current swing structure retrieved from the requested chart/s.
Each swing graph displays the current live swing point positioning relative to the previous swing points. By analyzing the different formations, patterns can more easily be recognized and found across multiple tickers or timeframes at once.
This indicator serves as a nifty tool for confluence recognition, whether that's confluence throughout market tickers, or confluence through higher timeframes on the same ticker.
Alternatively, viewing the relative positioning of each swing point to each other, should give a clearer idea when higher lows or lower highs are formed. This can potentially indicate a newly forming trend, as well as serving as a warning to watch for breakouts.
The swing length can be changed to align with each individual's strategy, as well as a display look back can be adjusted to show more or less swing points at one time.
The display is fairly customizable, it is not fixed to 6 symbols at all times and can be minimized to only display the number of symbols needed; Additionally, the display can be set to vertical mode or horizontal(default) to utilize as needed.
Note: Hover over the swing point in the dashboard to get a readout of the exact price level of the swing point.
🔶 SETTINGS
Swing Length: Set the swing length for the structure calculations.
Swing Display Lookback: Sets the number of swing points (Pairs) to display in each Swing Graph display.
Symbols: Sets the Timeframe and Symbol for each Swing Graph.
Vertical Display: Display the Swing Graphs up and down, rather than side to side.
Scaling Factor: Scales the entire indicator up or down, to fit your needs.
RSI and Bollinger Bands Screener [deepakks444]Indicator Overview
The indicator is designed to help traders identify potential long signals by combining the Relative Strength Index (RSI) and Bollinger Bands across multiple timeframes. This combination allows traders to leverage the strengths of both indicators to make more informed trading decisions.
Understanding RSI
What is RSI?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Developed by J. Welles Wilder Jr. for stocks and forex trading, the RSI is primarily used to identify overbought or oversold conditions in an asset.
How RSI Works:
Calculation: The RSI is calculated using the average gains and losses over a specified period, typically 14 periods.
Range: The RSI oscillates between 0 and 100.
Interpretation:
Key Features of RSI:
Momentum Indicator: RSI helps identify the momentum of price movements.
Divergences: RSI can show divergences, where the price makes a higher high, but the RSI makes a lower high, indicating potential reversals.
Trend Identification: RSI can also help identify trends. In an uptrend, the RSI tends to stay above 50, and in a downtrend, it tends to stay below 50.
Understanding Bollinger Bands
What is Bollinger Bands?
Bollinger Bands are a type of trading band or envelope plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a price. Developed by financial analyst John Bollinger, Bollinger Bands consist of three lines:
Upper Band: SMA + (Standard Deviation × Multiplier)
Middle Band (Basis): SMA
Lower Band: SMA - (Standard Deviation × Multiplier)
How Bollinger Bands Work:
Volatility Measure: Bollinger Bands measure the volatility of the market. When the bands are wide, it indicates high volatility, and when the bands are narrow, it indicates low volatility.
Price Movement: The price tends to revert to the mean (middle band) after touching the upper or lower bands.
Support and Resistance: The upper and lower bands can act as dynamic support and resistance levels.
Key Features of Bollinger Bands:
Volatility Indicator: Bollinger Bands help traders understand the volatility of the market.
Mean Reversion: Prices tend to revert to the mean (middle band) after touching the bands.
Squeeze: A Bollinger Band Squeeze occurs when the bands narrow significantly, indicating low volatility and a potential breakout.
Combining RSI and Bollinger Bands
Strategy Overview:
The strategy aims to identify potential long signals by combining RSI and Bollinger Bands across multiple timeframes. The key conditions are:
RSI Crossing Above 60: The RSI should cross above 60 on the 15-minute timeframe.
RSI Above 60 on Higher Timeframes: The RSI should already be above 60 on the hourly and daily timeframes.
Price Above 20MA or Walking on Upper Bollinger Band: The price should be above the 20-period moving average of the Bollinger Bands or walking on the upper Bollinger Band.
Strategy Details:
RSI Calculation:
Calculate the RSI for the 15-minute, 1-hour, and 1-day timeframes.
Check if the RSI crosses above 60 on the 15-minute timeframe.
Ensure the RSI is above 60 on the 1-hour and 1-day timeframes.
Bollinger Bands Calculation:
Calculate the Bollinger Bands using a 20-period moving average and 2 standard deviations.
Check if the price is above the 20-period moving average or walking on the upper Bollinger Band.
Entry and Exit Signals:
Long Signal: When all the above conditions are met, consider a long entry.
Exit: Exit the trade when the price crosses below the 20-period moving average or the stop-loss is hit.
Example Usage
Setup:
Add the indicator to your TradingView chart.
Configure the inputs as per your requirements.
Monitoring:
Look for the long signal on the chart.
Ensure that the RSI is above 60 on the 15-minute, 1-hour, and 1-day timeframes.
Check that the price is above the 20-period moving average or walking on the upper Bollinger Band.
Trading:
Enter a long position when the criteria are met.
Set a stop-loss below the low of the recent 15-minute candle or based on your risk management rules.
Monitor the trade and exit when the RSI returns below 60 on any of the timeframes or when the price crosses below the 20-period moving average.
House Rules Compliance
No Financial Advice: This strategy is for educational purposes only and should not be construed as financial advice.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Past Performance: Past performance is not indicative of future results. Always conduct your own research and analysis.
TradingView Guidelines: Ensure that any shared scripts or strategies comply with TradingView's terms of service and community guidelines.
Conclusion
This strategy combines RSI and Bollinger Bands across multiple timeframes to identify potential long signals. By ensuring that the RSI is above 60 on higher timeframes and that the price is above the 20-period moving average or walking on the upper Bollinger Band, traders can make more informed decisions. Always remember to conduct thorough research and use proper risk management techniques.
5x Volume indicator - Day Trading5x Volume Screener - Day Trading
Version: 6.0
Description:
This indicator is designed to identify significant volume spikes in crypto and stock markets,
specifically targeting instances where volume exceeds 5x the average of a 10-period Simple Moving Average (SMA) as the baseline.
Perfect for day traders and momentum traders looking for high-volume breakout opportunities.
Key Features:
Tracks real-time volume compared to 5-period moving average
Visual alerts through green histogram bars for 5x volume spikes
Dynamic volume ratio display showing exact multiple of average volume
Clear threshold line for quick reference
Optional labels showing precise volume ratios
Benefits:
Instantly spot unusual volume activity
Identify potential breakout opportunities
Validate price movements with volume confirmation
Perfect for day trading and scalping
Works across multiple timeframes
Best Used For:
Day trading setups
Breakout trading
Volume confirmation
Momentum trading
Market reversal identification
Created by: CigarSavant
Last Updated: December 2024
Scatter PlotThe Price Volume Scatter Plot publication aims to provide intrabar detail as a Scatter Plot .
🔶 USAGE
A dot is drawn at every intrabar close price and its corresponding volume , as can seen in the following example:
Price is placed against the white y-axis, where volume is represented on the orange x-axis.
🔹 More detail
A Scatter Plot can be beneficial because it shows more detail compared with a Volume Profile (seen at the right of the Scatter Plot).
The Scatter Plot is accompanied by a "Line of Best Fit" (linear regression line) to help identify the underlying direction, which can be helpful in interpretation/evaluation.
It can be set as a screener by putting multiple layouts together.
🔹 Easier Interpretation
Instead of analysing the 1-minute chart together with volume, this can be visualised in the Scatter Plot, giving a straightforward and easy-to-interpret image of intrabar volume per price level.
One of the scatter plot's advantages is that volumes at the same price level are added to each other.
A dot on the scatter plot represents the cumulated amount of volume at that particular price level, regardless of whether the price closed one or more times at that price level.
Depending on the setting "Direction" , which sets the direction of the Volume-axis, users can hoover to see the corresponding price/volume.
🔹 Highest Intrabar Volume Values
Users can display up to 5 last maximum intrabar volume values, together with the intrabar timeframe (Res)
🔹 Practical Examples
When we divide the recent bar into three parts, the following can be noticed:
Price spends most of its time in the upper part, with relative medium-low volume, since the intrabar close prices are mostly situated in the upper left quadrant.
Price spends a shorter time in the middle part, with relative medium-low volume.
Price moved rarely below 61800 (the lowest part), but it was associated with high volume. None of the intrabar close prices reached the lowest area, and the price bounced back.
In the following example, the latest weekly candle shows a rejection of the 45.8 - 48.5K area, with the highest volume at the 45.8K level.
The next three successive candles show a declining maximum intrabar volume, after which the price broke through the 45.8K area.
🔹 Visual Options
There are many visual options available.
🔹 Change Direction
The Scatter Plot can be set in 4 different directions.
🔶 NOTES
🔹 Notes
The script uses the maximum available resources to draw the price/volume dots, which are 500 boxes and 500 labels. When the population size exceeds 1000, a warning is provided ( Not all data is shown ); otherwise, only the population size is displayed.
The Scatter Plot ideally needs a chart which contains at least 100 bars. When it contains less, a warning will be shown: bars < 100, not all data is shown
🔹 LTF Settings
When 'Auto' is enabled ( Settings , LTF ), the LTF will be the nearest possible x times smaller TF than the current TF. When 'Premium' is disabled, the minimum TF will always be 1 minute to ensure TradingView plans lower than Premium don't get an error.
Examples with current Daily TF (when Premium is enabled):
500 : 3 minute LTF
1500 (default): 1 minute LTF
5000: 30 seconds LTF (1 minute if Premium is disabled)
🔶 SETTINGS
Direction: Direction of Volume-axis; Left, Right, Up or Down
🔹 LTF
LTF: LTF setting
Auto + multiple: Adjusts the initial set LTF
Premium: Enable when your TradingView plan is Premium or higher
🔹 Character
Character: Style of Price/Volume dot
Fade: Increasing this number fades dots at lower price/volume
Color
🔹 Linear Regression
Toggle (enable/disable), color, linestyle
Center Cross: Toggle, color
🔹 Background Color
Fade: Increasing this number fades the background color near lower values
Volume: Background color that intensifies as the volume value on the volume-axis increases
Price: Background color that intensifies as the price value on the price-axis increases
🔹 Labels
Size: Size of price/volume labels
Volume: Color for volume labels/axis
Price: Color for price labels/axis
Display Population Size: Show the population size + warning if it exceeds 1000
🔹 Dashboard
Location: Location of dashboard
Size: Text size
Display LTF: Display the intrabar Lower Timeframe used
Highest IB volume: Display up to 5 previous highest Intrabar Volume values
AI x Meme Impulse Tracker [QuantraSystems]AI x Meme Impulse Tracker
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper-optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post-backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The AI x Meme Impulse Tracker is a cutting-edge, fast-acting rotational algorithm designed to capitalize on the strength of assets within pre-selected categories. Using a custom function built on top of the RSI Pulsar, the system measures momentum through impulses rather than traditional trend following methods. This allows for swifter reallocations based on short bursts of strength.
This system focuses on precision and agility - making it highly adaptable in volatile markets. The strategy is built around three independent asset categories - with allocations only made to the strongest asset in each - ensuring that capital movement (in particular between blockchains) is kept to a minimum for efficiency purposes while maintaining exposure to the highest performing tokens.
Legend
Token Inputs:
The Impulse Tracker is designed with dynamic asset selection - allowing traders to customize the inputs for each category. This feature enables flexible system management, as the number of active tokens within each category can be adjusted at any time. Whether the user chooses the default of 13 tokens per category, or fewer, the system will automatically recalibrate. This ensures that all calculations, from relative strength to individual performance assessments, adjust as required. Disabled tokens are treated by the system as if they don’t exist - seamlessly updating performance metrics and the Impulse Tracker’s allocation behavior to maintain the highest level of efficiency and accuracy.
System Equity Curve:
The Impulse Tracker plots both the rotational system’s equity and the Buy-and-Hold (or ‘HODL’) benchmark of Bitcoin for comparison. While the HODL approach allocates the entire portfolio to Bitcoin and functions as an index to compare to, the Impulse Tracker dynamically allocates based on strength impulses within the chosen tokens and categories. The system equity curve is representative of adding an equal capital split between the strongest assets of each category. The relative strength system does handle ‘ties’ of strength - in this situation multiple tokens from a single category can be included in the final equity curve, with the allocated weight to that category split between the tied assets.
TABLES:
Equity Stats:
This table is held in Quantra System's typical UI design language. It offers a comprehensive snapshot of the system’s performance, with key metrics organized to help traders quickly assess both short-term and cumulative results. The left side provides details on individual asset performance, while the right side presents a comparison of the system’s risk-adjusted metrics against a simple BTC Hodl strategy.
The leftmost column of the Equity Stats table showcases performance indicators for the system’s current allocations. This provides quick identification of the current strongest tokens, based on confirmed and non-repainting data as soon as the current opens and the last bar closes.
The right-hand side compares the performance differences between the system and Hodl profits, both on a cumulative basis and analyzing only the previous bar. The total number of position changes is also tracked in this table - an important metric when calculating total slippage and should be used to determine how ‘hands-on’ the strategy will be on the current timeframe.
The lower part of the table highlights a direct comparison of the AI x Memes Impulse strategy with buy-and-hold Bitcoin. The risk adjusted performance ratios, Sharpe, Sortino and Omega, are shown side by side, as well as the maximum drawdown experienced by both strategies within the set testing window.
Screener Table:
This table provides a detailed breakdown of the performance for each asset that has been the strongest in its category at some point and thus received an allocation. The table tracks several key metrics for each asset - including returns, volatility, Sharpe ratio, Sortino ratio, Omega ratio, and maximum drawdown. It also displays the signals for both current and previous periods, as well as the assets weight in the theoretical portfolio. Assets that have never received a signal are also included, giving traders an overview of which assets have contributed to the portfolio's performance and which have not played a role so far.
The position changes cell also offers important insights, as it shows the frequency of not just total position changes, but also rebalancing events.
Detailed Slippage Table:
The Detailed Slippage Table provides a comprehensive breakdown of the calculated slippage and fees incurred throughout the strategy’s operations. It contains several key metrics that give traders a granular view of the costs associated with executing the system:
Selected Slippage - Displays the current slippage rate, as defined in the input menu.
Removal Slippage - This accounts for any slippage or fees incurred when removing an allocation from a token.
Reallocation Slippage - Tracks the slippage or fees when reallocating capital to existing positions.
Addition Slippage - Measures the slippage or fees incurred when allocating capital to new tokens.
Final Slippage - Is the sum of all the individual slippage points and provides a quick view of the total slippage accounted for by the system.
The table is also divided into two columns:
Last Transaction Slippage + Fees - Displays any slippage or fees incurred based on position changes within the current bar.
Total Slippage + Fees - Shows the cumulative slippage and fees incurred since the portfolio’s selected start date.
Visual Customization:
Several customizable features are included within the input menu to enhance user experience. These include custom color palettes, both preloaded and user-selectable. This allows traders to personalize the visual appearance of the tables, ensuring clarity and consistency with their preferred interface themes and background coloring.
Additionally, users can adjust both the position and sizes of all the tables - enabling complete tailoring to the trader’s layout and specific viewing preferences and screen configurations. This level of customization ensures a more intuitive and flexible interaction with the system’s data.
Core Features and Methodologies
Advanced Risk Management - A Unique Filtering Approach:
The Equity Curve Activation Filter introduces an innovative way to dynamically manage capital allocation, aligning with periods of market trend strength. This filter is rooted in the understanding that markets move cyclically - altering between periods trending and mean-reverting periods. This cycle is especially pronounced in the crypto markets, where strong uptrends are often followed by prolonged periods of sideways movements or corrections as participants take profits and momentum fades.
The Cyclical Nature of Markets and Trend Following:
Financial markets do not trend indefinitely. Each uptrend or downtrend, whether over high and low timeframes, tends to culminate in a phase where momentum exhausts - leading to the sideways or corrective phases. This cycle results from the natural dynamics of market participants: during extended trends, more participants jump in, riding the momentum until profit taking causes the trend to slow down or reverse. This cyclical behavior occurs across all timeframes and in all markets - making it essential to adapt trading strategies in attempt to minimize losses during less favorable conditions.
In a trend following system, profitability often mirrors this cyclical pattern. Trend following strategies thrive when markets are moving directionally, capturing gains as price moves with strength in a single direction. However in phases where the market chops sideways, trend following strategies will usually experience drawdowns and reduced returns due to the impersistent nature of any trends. This fluctuation in trend following profitability can actually serve as one of the best coincident indicators of broader market regime change - when profitability begins to fade, it often signals a transition to drawn out unfavorable trend trading conditions.
The Equity Curve as a Market Signal
Within the Impulse Tracker, a continuous equity curve is calculated based upon the system's allocation to the strongest tokens. This equity curve effectively tracks the system’s performance under all market conditions. However, instead of solely relying on the direct performance of the selected tokens, the system applies additional filters to analyze the trend strength of this equity curve itself.
In the same way you only want to purchase an asset that is moving up in price, you only want to allocate capital to a strategy whose equity curve is trending upwards!
The Equity Curve Activation Filter consistently monitors the trend of this equity curve through various filter indicators, such as the “Wave Pendulum Trend”, the “Quasar QSM” and the “MAQSM” (an aggregate of multiple types of averages). These filters help determine whether the equity curve is trending upwards, signaling a favorable period for trend following. When the equity curve is in a positive trend, capital is allocated to the system as normal - allowing it to capture gains during favorable market conditions, Conversely, when the trend weakens and the equity curves begins to stagnate or decline, the activation filter shifts the system into a “cash” positions - temporarily halting allocations in order to prevent market exposure during choppy or mean reverting phases.
Timing Allocation With Market Conditions
This unique filtering approach ensures that the system is primarily active during periods when market trends are most supportive. By aligning capital allocations with the uptrend in trend following profitability, the system is designed to enter during periods of strong momentum and move to cash when momentum with the equity curve wanes. This approach reduces the risk of overtrading in less favorable conditions and preserves capital for the next favorable trend.
In essence the Equity Curve Allocation Filter serves as a dynamic risk management layer that leverages the cyclicality of trend following profitability in order to navigate shifting market phases.
Sensitivity and Signal Responsiveness:
The Quasar Sensitivity Setting allows users to fine-tune the system’s responsiveness to asset signals. High sensitivity settings lead to quicker position changes, making the system highly reactive to short term strength impulses. This is especially useful in fast moving markets where token strength can shift rapidly. The Sensitive setting might be more applicable to higher volatility or lower market cap assets - as the increased volatility increases the necessity of faster position cutting in order to front run the crowd. Of course - a balanced approach is ideal, as if the signals are too fast there will be too many whips and false signals. (And extra fees + slippage!)
The benefit of this script is because of the advanced slippage calculations, false signals are sufficiently punished (unlike systems without fees or slippage) - so it will become immediately apparent if the false signals have a significantly detrimental impact on the system’s equity curve.
Asset specific signals within each category are re-evaluated after the close of each bar to ensure that capital is always allocated to the highest performing asset. If a token’s momentum begins to fade the system swiftly reallocates to the next strongest asset within that category.
Category Filter - Allocates only to the Strongest Asset per group
One of the core innovations of the AI x Meme Impulse Tracker is the customizable Category Filter, which ensures that only the strongest-performing asset within each predefined group receives capital allocation. This approach not only increases the precision of asset selection but also allows traders to tailor the system to specific token narratives or categories. Sectors can include trending themes such as high-attention meme tokens, AI-driven tokens, or even categorize assets by blockchain ecosystems like Ethereum, Solana, or Base chain. This flexibility enables users to align their strategies with the latest market narratives or to optimize for specific groups, focusing on high-beta tokens within well defined sectors for a more targeted exposure. By keeping the focus on category leaders, the system avoids diluting its impact across underperforming assets, thereby maximizing capital efficiency and reducing unnecessary trading costs.
Dynamic Asset Reallocation:
Dynamic reallocation ensures that the system remains nimble and adapts to changing market conditions. Unlike slower systems, the Quasar method continually monitors for changes in asset strength and reallocates capital accordingly - ensuring that the system is always positioned in the highest performing assets within each category.
Position Changes and Slippage:
The Impulse Tracker places a strong emphasis on realistic simulation, prioritizing accuracy over inflated backtest results. This approach ensures that slippage is accounted for in a more aggressive manner than what may be experienced in real-world execution.
Each position change within the system - whether it’s buying, selling, reallocating, or rebalancing between assets - incurs slippage. Slippage is applied to both ends of every transaction: when a position is entered and exited, and when reallocating capital from one token to another. This dynamic behavior is further enhanced by a customizable slippage/fees input, allowing users to simulate realistic transaction costs based on their own market conditions and execution behaviors.
The slippage model works by applying a weighted slippage to the equity curve, taking into account the actual amount of capital being moved. Slippage is not applied in a blanket manner but rather in proportion to the allocation changes. For example, if the system reallocates from a single 100% position to two 50% allocations, slippage will be applied to the 50% removed from the first asset and the 50% added to the new asset, resulting in a 1x slippage multiplier.
This process becomes more granular when multiple assets are involved. For instance, if reallocating from two 50% positions to three 33% positions, slippage will be incurred on each of the changes, but at a reduced rate (⅔ x slippage), reflecting the smaller percentage of portfolio equity being moved. The slippage model accounts for all types of allocation shifts, whether increasing or decreasing the number of tokens held, providing a realistic assessment of system costs.
Here are some detailed examples to illustrate how slippage is calculated based on different scenarios:
100% → 50% / 50%: 1x slippage applied to both position changes (2 allocation changes).
50% / 50% → 33% / 33% / 33%: ⅔ x slippage multiplier applied across 3 allocation changes.
33% / 33% / 33% → 100%: 4/3 x slippage multiplier applied across 3 allocation changes.
In practice, not every position change will be rebalanced perfectly, leading to a lower number of transactions and lower costs in practice. Additionally, with the use of limit orders, a trader can easily reduce the costs of entering a position, as well as ensuring a competitive entry price.
By simulating slippage in this granular manner, the system captures the absolute maximum level of fees and slippage, in order to ensure that backtest results lean towards an underrepresentation - opposed to inflated results compared with practical execution.
A Special Note on Slippage
In the image above, the system has been applied to four different timeframes - 20h, 15h, 10h, and 5h - using identical settings and a selected slippage amount of 2%. By isolating a recent trend leg, we can illustrate an important concept: while the 15h timeframe is more profitable than the 20h timeframe, this difference stems from a core trading principle. Lower timeframes typically provide more data points and allow for quicker entries and exits in a robust system. This often results in reduced downside and compounding of gains.
However, slippage, fees, and execution constraints are limiting factors, especially in volatile, low-cap cryptocurrencies. Although lower timeframes can improve performance by increasing trade frequency, each trade incurs heavy slippage costs that accumulate - impacting the portfolio’s capital at a compounding rate. In this example, the chosen slippage rate of 2% per trade is designed to reflect the realistic trading costs, emphasizing how lower timeframe trading comes at the cost of increased slippage and fees
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a complete allocation to Bitcoin. This allows users to easily compare the performance of the dynamic rotation system with that more traditional benchmark strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk-adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the AI x Meme Impulse Tracker - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection system, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look for long-only trading setups on an intrabar timeframe.
Final Summary:
The AI x Meme Impulse Tracker is a powerful algorithm that leverages a unique strength and impulse based approach to asset allocation within high beta token categories. Built with a robust risk management framework, the system’s Equity Curve Activation Filter dynamically manages capital exposure based on the cyclical nature of market trends, minimizing exposure during weaker phases.
With highly customizable settings, the Impulse Tracker enables precise capital allocation to only the strongest assets, informed by real-time metrics and rigorous slippage modeling in order to provide the best view of historical profitability. This adaptable design, coupled with advanced performance analytics, makes it a versatile tool for traders seeking an edge in fast moving and volatile crypto markets.
CANSLIM Screener [TrendX_]INTRODUCTION:
The CANSLIM investment strategy, developed by William J. O'Neil, is a powerful tool for identifying growth stocks that have the potential to outperform the market. TrendX has enhanced this approach with its unique indicators, making it easier for investors to assess stocks based on seven critical criteria.
➊ C: Current Quarterly EPS or PE with Growth Benchmark
The first criterion focuses on the Earnings Per Share (EPS) growth in the most recent quarter compared to previous quarters. A company should demonstrate significant EPS growth, ideally exceeding expectations and benchmarks within its industry.
➋ A: Average Annual EPS Growth with Growth Benchmark
This aspect evaluates a company's average annual EPS growth over the last three years. A consistent upward trend suggests that the company is effectively increasing its profitability. TrendX provides a customizable benchmark to help investors identify firms with sustainable growth trajectories.
➌ N: New Highs or New Product Development
TrendX interprets this criterion through an Annual Research & Development to Revenue Ratio (RNDR). A decreasing RNDR ratio may indicate that a company is finishing new products, which could lead to reduced revenue if product launches are unsuccessful.
➍ S: Supply and Demand
This component assesses supply and demand dynamics by analyzing the movement of Float Shares Outstanding. A decrease in float shares typically indicates higher demand for the stock, suggesting that the company is in good shape for future growth.
➎ L: Leader
TrendX employs comparative analysis between the Relative Strength Index (RSI) of a company and that of the overall market. If a company's RSI is higher than the market's, it signifies that the stock is leading rather than lagging.
➏ I: Institutional Sponsorship
Institutional sponsorship is gauged through the total dividends paid by a company. High dividend payouts can signal strong institutional interest, support and confidence in the company's future prospects.
➐ M: Market Direction
TrendX evaluates market direction by comparing a company's RSI against its Moving Average of RSI, along with utilizing Market Structure in Smart Money Concept indicator for alternative trend insights.
HOW TO USE
The TrendX CANSLIM indicator provides an evaluation score based on each of the seven criteria outlined above, which displays in a table containing:
Scoring System: Each letter in CANSLIM contributes to a total score out of 100%. A stock does not need to meet all seven criteria; achieving a score above 70% (5 out of 7) is generally considered indicative of a promising growth stock.
Screening Feature: The tool includes a screening feature that evaluates multiple stocks simultaneously, allowing investors to compare their CANSLIM scores efficiently. This feature streamlines identifying potential investment opportunities across various sectors.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Raj - Mark Minervini Stage 2 with RSTitle: Mark Minervini Stage 2 Screener with Custom RS
Description:
This script is designed to identify stocks that meet the criteria for Mark Minervini's Stage 2 trend setup, incorporating custom relative strength (RS) ranking.
Key Features:
Moving Averages: Tracks the 50-day, 150-day, and 200-day Simple Moving Averages (SMA) to identify trend alignment.
Price Conditions: Ensures the stock price is above key moving averages, is within 25% of its 52-week high, and is at least 25% above its 52-week low.
Custom Relative Strength (RS): Compares the stock's performance against a benchmark (e.g., S&P 500) to ensure it has a strong relative strength. The RS is normalized on a 0-100 scale, and only stocks with an RS above 70 are highlighted.
Visual Indicators: The script plots moving averages on the chart and labels points where all conditions for the Stage 2 setup are met.
Usage:
Apply this script to your charts to find stocks that are in a strong uptrend and meet Mark Minervini's Stage 2 criteria.
Customize the benchmark symbol for the RS calculation to fit your market or preference
Multi Asset Histogram [ChartPrime]Multi Asset Histogram Indicator
Overview:
The "Multi Asset Histogram" indicator provides a comprehensive visualization of the performance of multiple assets relative to each other. By calculating a score for each asset and displaying it in a histogram format, this indicator helps traders quickly identify the trends, dominant asset and the average performance of the assets in the selected group.
Key Features:
◆ Multi-Asset Score Calculation:
The indicator calculates a trend score for each selected asset based on the price source (e.g., hl2).
The trend score is determined by comparing the current price to the prices over the past bars back defined by user, adding or subtracting points based on whether the current price is higher or lower than previous prices.
// Score Function
trscore(src) =>
total = 0.0
for i = 1 to 50
total += (src >= nz(src ) ? 1 : -1)
total
◆ Flexible Symbol Input:
Traders can input up to 10 different symbols (e.g., BTCUSD, ETHUSD, etc.) to be included in the histogram analysis.
◆ Dynamic Visualization:
A histogram is plotted for each asset, with bars colored based on the score, providing a clear visual representation of the relative performance.
Color gradients from red to aqua indicate the performance, with red representing negative scores and aqua representing positive scores.
◆ Adaptive Histogram Lines:
The width and placement of histogram lines adapt based on the calculated scores, ensuring clear visualization regardless of the values.
Dashed lines represent the mean score of all assets, helping traders identify the overall market trend.
◆Detailed Labels and Values:
Labels are placed on the histogram to display the exact score for each asset.
Mean value and zero line labels provide additional context for the overall performance.
◆ Visual Scaling Lines:
Zero line and mean line are clearly marked, helping traders understand the distribution and scale of scores.
Scales on the left and right of the histogram indicate the performance range.
◆ Informative Table:
A table is displayed on the chart, showing the dominant asset (the one with the highest score) and the mean score of all assets.
The table updates dynamically to reflect real-time changes in asset performance.
◆ Settings:
Length: The value of number bars back is greater or less than the current value of the source
Source: The price source to be used for score calculation (e.g., hl2).
Symbols: Up to 10 different asset symbols can be input for analysis.
Usage Notes:
This indicator is useful for traders who monitor multiple assets simultaneously and need a quick visual reference to identify the strongest and weakest performers.
The color coding and dynamic labels make it easy to interpret the relative performance and make informed trading decisions.
This indicator is designed to enhance multi-asset analysis by providing a clear, visual representation of each asset's performance relative to the others, making it easier to identify trends and dominant assets in the market.
Consolidation Score ScreenerIn trading, a consolidation range is like a timeout after a big move in the price of a stock or symbol.
It's when the market takes a breather, neither pushing the price up nor down too hard.
Visually, it looks like the price moving sideways on a chart , with highs and lows staying within a certain range.
so this indicator is created to help myself and you decide if its a ranging market and what's the score of that consolidation range
The score ranges between 0 and 10 , where 10 is the max consolidation score , meaning this stock or the symbol is at its highest peak of consolidation .
What would you see using this indicator ?
Symbols circles , inside these circles it will print the consolidation score ..
in the middle of the indicator it will show the range of all the 20 symbols scores .
so it will give you like overall ranging value for your 20 symbols
Settings :
TimeFrame : TimeFrame input to select which time frame you want your indicator to analysis
Range length : The Range that you would want your indicator to take into consideration when doing its analysis .
Features :
20 symbols analysis
Multi timeframe capability
Enjoy .
Scoopy StacksWaffle Around Multiple
(Open, High, Low, Close) Stacks On
Pre/Post Market & (Daily, Weekly,
Monthly, Yearly) Sessions With
Meticulous Columns, Rows, Tooltips,
Colors, Custom Ideas, and Alerts.
Sessions Use Two Step Incremental Values
Default Value: (1) Shows Two Previous
(O, H, L, C); Increasing Value Swaps
Sessions With Next Two Stacks.
⬛️ KEY WORDS:
🟢 Crossover | 🔴 Crossunder
📗 High | 📕 Low
📔 Open | 📓 Close
🥇 First Idea | 🥈 Second Idea
🥉 Third Idea | 🎖️ Fourth Idea
🟥 ALERTS:
Default Option: (Per Bar)
Alerts Once Conditions Are Met
(Bar Close) Alerts When Bar Closes
Default Option: (Reg)
Alerts During Regular Market
Trading Hours, (0930-1600)
(Ext) Alerts During Extended
Market Hours, (1600-0930)
(24/7) Alerts All Day
Optional Preferences:
Regular Alerts - Stocks
Extended Alerts - Futures
24/7 Alerts - Crypto
🟧 STACKS:
Default Value: (1)
Incremental Stack Value, Increasing Value
Swaps Sessions With the Next Two Stacks
(✓) Swap Stacks?
Pre/Post Market High/Lows,
1-2 Day High/Lows, 1-2 Week High/Lows,
1-2 Month High/Lows, 1-2 Year High/Lows
( ) Swap Stacks?
Pre/Post Market Open/Close,
1-2 Day Open/Close, 1-2 Week Open/Close,
1-2 Month Open/Close, 1-2 Year Open/Close
🟨 EXAMPLES:
Default Stack:
🟢 | 📗 Pre Market High (PRE) | 4600.00
🔴 | 📕 Post Market Low (POST) | 420.00
Optional: (Open)
🟢 | 📔 Post Market Open (POST) | 4400.00
Optional: (Close)
🔴 | 📓 Pre Market Close (PRE) | 430.00
Default Stack Value: (1)
🔴 | 📗 1 Day High (1DH) | 460.00
Next Stack Value: (3)
🟢 | 📕 4 Day Low (4DL) | 420.00
Optional: (Open)
🔴 | 📔 2 Day Open (2DO) | 440.00
Optional: (Close)
🟢 | 📓 3 Day Close (3DC) | 430.00
Default Stack Value: (5)
🟢 | 📗 5 Week High (5WH) | 460.00
Next Stack Value: (7)
🔴 | 📕 8 Week Low (8WL) | 420.00
Optional: (Open)
🔴 | 📔 7 Week Open (7WO) | 4400.00
Optional: (Close)
🟢 | 📓 6 Week Close (6WC) | 430.00
Default Stack Value: (9)
🔴 | 📗 9 Month High (9MH) | 460.00
Next Stack Value: (11)
🟢 | 📕 12 Month Low (12ML) | 420.00
Optional: (Open)
🟢 | 📔 11 Month Open (11MO) | 4400.00
Optional: (Close)
🔴 | 📓 10 Month Close (10MC) | 430.00
Default Stack Value: (13)
🟢 | 📗 13 Year High (13YH) | 460.00
Next Stack Value: (15)
🟢 | 📕 16 Year Low (16YL) | 420.00
Optional: (Open)
🔴 | 📔 15 Year Open (15YO) | 4400.00
Optional: (Close)
🔴 | 📓 14 Year Close (14YC) | 430.00
🟩 TABLES:
Default Value: (1)
Moves Table Up, Down, Left, or Right
Based on Second Default Value
First Default Value: (Top Right)
Sets Table Placement, Middle Center
Allows Table To Move In All Directions
Second Default Value: (Default)
Fixed Table Position, Switching Values
Moves Direction of the Table
🟦 IDEAS:
(✓) Show Ideas?
Shows Four Ideas With Custom Texts
and Values; Ideas Are Based Around
Post-It Note Reminders with Alerts
Suggestions For Text Ideas:
Take Profit, Stop Loss, Trim, Hold,
Long, Short, Bounce Spot, Retest,
Chop, Support, Resistance, Buy, Sell
🟪 EXAMPLES:
Default Value: (5)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥇)
Shown On First Table Cell and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥇 | 5.00
Default Value: (10)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥈)
Shown On Second Table Cell and
Message Appearing On Alerts
Alert Shows: 🔴 | 🥈 | 10.00
Default Value: (50)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥉)
Shown On Third Table Cell and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥉 | 50.00
Default Value: (100)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🎖️)
Shown On Fourth Table Cell and
Message Appearing On Alerts
Alert Shows: 🔴 | 🎖️ | 100.00
⬛️ REFERENCES:
Pre-market Highs & Lows on regular
trading hours (RTH) chart
By Twingall
Previous Day Week Highs & Lows
By Sbtnc
Screener for 40+ instruments
By QuantNomad
Daily Weekly Monthly Yearly Opens
By Meliksah55
Ribbit RangesBounce Around Multiple
(Open, High, Low, Close) Ranges
On Pre/Post Market & (Daily, Weekly,
Monthly, Yearly) Sessions With
Meticulous Lines, Labels, Tooltips,
Colors, Custom Ideas, and Alerts.
Sessions Use Two Step Incremental Values
Default Value: (1) Shows Two Previous
(O, H, L, C); Increasing Value Swaps
Sessions With Next Two Ranges.
⬛️ KEY WORDS:
🟢 Crossover | 🔴 Crossunder
📗 High | 📕 Low
📔 Open | 📓 Close
🥇 First Idea | 🥈 Second Idea
🥉 Third Idea | 🎖️ Fourth Idea
🟥 ALERTS:
Default Option: (Per Bar)
Alerts Once Conditions Are Met
(Bar Close) Alerts When Bar Closes
Default Option: (Reg)
Alerts During Regular Market
Trading Hours, (0930-1600)
(Ext) Alerts During Extended
Market Hours, (1600-0930)
(24/7) Alerts All Day
Optional Preferences:
Regular Alerts - Stocks
Extended Alerts - Futures
24/7 Alerts - Crypto
🟧 RANGES:
Default Value: (1)
Incremental Range Value, Increasing Value
Swaps Sessions With the Next Two Ranges
(✓) Swap Ranges?
Pre/Post Market High/Lows,
1-2 Day High/Lows, 1-2 Week High/Lows,
1-2 Month High/Lows, 1-2 Year High/Lows
( ) Swap Ranges?
Pre/Post Market Open/Close,
1-2 Day Open/Close, 1-2 Week Open/Close,
1-2 Month Open/Close, 1-2 Year Open/Close
🟨 EXAMPLES:
Default Range:
🟢 | 📗 Pre Market High (PRE) | 4600.00
🔴 | 📕 Post Market Low (POST) | 420.00
Optional: (Open)
🟢 | 📔 Post Market Open (POST) | 4400.00
Optional: (Close)
🔴 | 📓 Pre Market Close (PRE) | 430.00
Default Range Value: (1)
🔴 | 📗 1 Day High (1DH) | 460.00
Next Range Value: (3)
🟢 | 📕 4 Day Low (4DL) | 420.00
Optional: (Open)
🔴 | 📔 2 Day Open (2DO) | 440.00
Optional: (Close)
🟢 | 📓 3 Day Close (3DC) | 430.00
Default Range Value: (5)
🟢 | 📗 5 Week High (5WH) | 460.00
Next Range Value: (7)
🔴 | 📕 8 Week Low (8WL) | 420.00
Optional: (Open)
🔴 | 📔 7 Week Open (7WO) | 4400.00
Optional: (Close)
🟢 | 📓 6 Week Close (6WC) | 430.00
Default Range Value: (9)
🔴 | 📗 9 Month High (9MH) | 460.00
Next Range Value: (11)
🟢 | 📕 12 Month Low (12ML) | 420.00
Optional: (Open)
🟢 | 📔 11 Month Open (11MO) | 4400.00
Optional: (Close)
🔴 | 📓 10 Month Close (10MC) | 430.00
Default Range Value: (13)
🟢 | 📗 13 Year High (13YH) | 460.00
Next Range Value: (15)
🟢 | 📕 16 Year Low (16YL) | 420.00
Optional: (Open)
🔴 | 📔 15 Year Open (15YO) | 4400.00
Optional: (Close)
🔴 | 📓 14 Year Close (14YC) | 430.00
🟩 COLORS:
(✓) Swap Colors?
Text Color Is Shown Using
Background Color
( ) Swap Colors?
Background Color Is Shown
Using Text Color
🟦 IDEAS:
(✓) Show Ideas?
Plots Four Ideas With Custom Lines
and Labels; Ideas Are Based Around
Post-It Note Reminders with Alerts
Suggestions For Text Ideas:
Take Profit, Stop Loss, Trim, Hold,
Long, Short, Bounce Spot, Retest,
Chop, Support, Resistance, Buy, Sell
🟪 EXAMPLES:
Default Value: (5)
Shows the Custom Value For
Lines, Labels, and Alerts
Default Text: (🥇)
Shown On First Label and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥇 | 5.00
Default Value: (10)
Shows the Custom Value For
Lines, Labels, and Alerts
Default Text: (🥈)
Shown On Second Label and
Message Appearing On Alerts
Alert Shows: 🔴 | 🥈 | 10.00
Default Value: (50)
Shows the Custom Value For
Lines, Labels, and Alerts
Default Text: (🥉)
Shown On Third Label and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥉 | 50.00
Default Value: (100)
Shows the Custom Value For
Lines, Labels, and Alerts
Default Text: (🎖️)
Shown On Fourth Label and
Message Appearing On Alerts
Alert Shows: 🔴 | 🎖️ | 100.00
⬛️ REFERENCES:
Pre-market Highs & Lows on regular
trading hours (RTH) chart
By Twingall
Previous Day Week Highs & Lows
By Sbtnc
Screener for 40+ instruments
By QuantNomad
Daily Weekly Monthly Yearly Opens
By Meliksah55
Volume and Price Z-Score [Multi-Asset] - By LeviathanThis script offers in-depth Z-Score analytics on price and volume for 200 symbols. Utilizing visualizations such as scatter plots, histograms, and heatmaps, it enables traders to uncover potential trade opportunities, discern market dynamics, pinpoint outliers, delve into the relationship between price and volume, and much more.
A Z-Score is a statistical measurement indicating the number of standard deviations a data point deviates from the dataset's mean. Essentially, it provides insight into a value's relative position within a group of values (mean).
- A Z-Score of zero means the data point is exactly at the mean.
- A positive Z-Score indicates the data point is above the mean.
- A negative Z-Score indicates the data point is below the mean.
For instance, a Z-Score of 1 indicates that the data point is 1 standard deviation above the mean, while a Z-Score of -1 indicates that the data point is 1 standard deviation below the mean. In simple terms, the more extreme the Z-Score of a data point, the more “unusual” it is within a larger context.
If data is normally distributed, the following properties can be observed:
- About 68% of the data will lie within ±1 standard deviation (z-score between -1 and 1).
- About 95% will lie within ±2 standard deviations (z-score between -2 and 2).
- About 99.7% will lie within ±3 standard deviations (z-score between -3 and 3).
Datasets like price and volume (in this context) are most often not normally distributed. While the interpretation in terms of percentage of data lying within certain ranges of z-scores (like the ones mentioned above) won't hold, the z-score can still be a useful measure of how "unusual" a data point is relative to the mean.
The aim of this indicator is to offer a unique way of screening the market for trading opportunities by conveniently visualizing where current volume and price activity stands in relation to the average. It also offers features to observe the convergent/divergent relationships between asset’s price movement and volume, observe a single symbol’s activity compared to the wider market activity and much more.
Here is an overview of a few important settings.
Z-SCORE TYPE
◽️ Z-Score Type: Current Z-Score
Calculates the z-score by comparing current bar’s price and volume data to the mean (moving average with any custom length, default is 20 bars). This indicates how much the current bar’s price and volume data deviates from the average over the specified period. A positive z-score suggests that the current bar's price or volume is above the mean of the last 20 bars (or the custom length set by the user), while a negative z-score means it's below that mean.
Example: Consider an asset whose current price and volume both show deviations from their 20-bar averages. If the price's Z-Score is +1.5 and the volume's Z-Score is +2.0, it means the asset's price is 1.5 standard deviations above its average, and its trading volume is 2 standard deviations above its average. This might suggest a significant upward move with strong trading activity.
◽️ Z-Score Type: Average Z-Score
Calculates the custom-length average of symbol's z-score. Think of it as a smoothed version of the Current Z-Score. Instead of just looking at the z-score calculated on the latest bar, it considers the average behavior over the last few bars. By doing this, it helps reduce sudden jumps and gives a clearer, steadier view of the market.
Example: Instead of a single bar, imagine the average price and volume of an asset over the last 5 bars. If the price's 5-bar average Z-Score is +1.0 and the volume's is +1.5, it tells us that, over these recent bars, both the price and volume have been consistently above their longer-term averages, indicating sustained increase.
◽️ Z-Score Type: Relative Z-Score
Calculates a relative z-score by comparing symbol’s current bar z-score to the mean (average z-score of all symbols in the group). This is essentially a z-score of a z-score, and it helps in understanding how a particular symbol's activity stands out not just in its own historical context, but also in relation to the broader set of symbols being analyzed. In other words, while the primary z-score tells you how unusual a bar's activity is for that specific symbol, the relative z-score informs you how that "unusualness" ranks when compared to the entire group's deviations. This can be particularly useful in identifying symbols that are outliers even among outliers, indicating exceptionally unique behaviors or opportunities.
Example: If one asset's price Z-Score is +2.5 and volume Z-Score is +3.0, but the group's average Z-Scores are +0.5 for price and +1.0 for volume, this asset’s Relative Z-Score would be high and therefore stand out. This means that asset's price and volume activities are notably high, not just by its own standards, but also when compared to other symbols in the group.
DISPLAY TYPE
◽️ Display Type: Scatter Plot
The Scatter Plot is a visual tool designed to represent values for two variables, in this case the Z-Scores of price and volume for multiple symbols. Each symbol has it's own dot with x and y coordinates:
X-Axis: Represents the Z-Score of price. A symbol further to the right indicates a higher positive deviation in its price from its average, while a symbol to the left indicates a negative deviation.
Y-Axis: Represents the Z-Score of volume. A symbol positioned higher up on the plot suggests a higher positive deviation in its trading volume from its average, while one lower down indicates a negative deviation.
Here are some guideline insights of plot positioning:
- Top-Right Quadrant (High Volume-High Price): Symbols in this quadrant indicate a scenario where both the trading volume and price are higher than their respective mean.
- Top-Left Quadrant (High Volume-Low Price): Symbols here reflect high trading volumes but prices lower than the mean.
- Bottom-Left Quadrant (Low Volume-Low Price): Assets in this quadrant have both low trading volume and price compared to their mean.
- Bottom-Right Quadrant (Low Volume-High Price): Symbols positioned here have prices that are higher than their mean, but the trading volume is low compared to the mean.
The plot also integrates a set of concentric squares which serve as visual guides:
- 1st Square (1SD): Encapsulates symbols that have Z-Scores within ±1 standard deviation for both price and volume. Symbols within this square are typically considered to be displaying normal behavior or within expected range.
- 2nd Square (2SD): Encapsulates those with Z-Scores within ±2 standard deviations. Symbols within this boundary, but outside the 1 SD square, indicate a moderate deviation from the norm.
- 3rd Square (3SD): Represents symbols with Z-Scores within ±3 standard deviations. Any symbol outside this square is deemed to be a significant outlier, exhibiting extreme behavior in terms of either its price, its volume, or both.
By assessing the position of symbols relative to these squares, traders can swiftly identify which assets are behaving typically and which are showing unusual activity. This visualization simplifies the process of spotting potential outliers or unique trading opportunities within the market. The farther a symbol is from the center, the more it deviates from its typical behavior.
◽️ Display Type: Columns
In this visualization, z-scores are represented using columns, where each symbol is presented horizontally. Each symbol has two distinct nodes:
- Left Node: Represents the z-score of volume.
- Right Node: Represents the z-score of price.
The height of these nodes can vary along the y-axis between -4 and 4, based on the z-score value:
- Large Positive Columns: Signify a high or positive z-score, indicating that the price or volume is significantly above its average.
- Large Negative Columns: Represent a low or negative z-score, suggesting that the price or volume is considerably below its average.
- Short Columns Near 0: Indicate that the price or volume is close to its mean, showcasing minimal deviation.
This columnar representation provides a clear, intuitive view of how each symbol's price and volume deviate from their respective averages.
◽️ Display Type: Circles
In this visualization style, z-scores are depicted using circles. Each symbol is horizontally aligned and represented by:
- Solid Circle: Represents the z-score of price.
- Transparent Circle: Represents the z-score of volume.
The vertical position of these circles on the y-axis ranges between -4 and 4, reflecting the z-score value:
- Circles Near the Top: Indicate a high or positive z-score, suggesting the price or volume is well above its average.
- Circles Near the Bottom: Represent a low or negative z-score, pointing to the price or volume being notably below its average.
- Circles Around the Midline (0): Highlight that the price or volume is close to its mean, with minimal deviation.
◽️ Display Type: Delta Columns
There's also an option to utilize Z-Score Delta Columns. For each symbol, a single column is presented, depicting the difference between the z-score of price and the z-score of volume.
The z-score delta essentially captures the disparity between how much the price and volume deviate from their respective mean:
- Positive Delta: Indicates that the z-score of price is greater than the z-score of volume. This suggests that the price has deviated more from its average than the volume has from its own average. Such a scenario could point to price movements being more significant or pronounced compared to the changes in volume.
- Negative Delta: Represents that the z-score of volume is higher than the z-score of price. This might mean that there are substantial volume changes, yet the price hasn't moved as dramatically. This can be indicative of potential build-up in trading interest without an equivalent impact on price.
- Delta Close to 0: Means that the z-scores for price and volume are almost equal, indicating their deviations from the average are in sync.
◽️ Display Type: Z-Volume/Z-Price Heatmap
This visualization offers a heatmap either for volume z-scores or price z-scores across all symbols. Here's how it's presented:
Each symbol is allocated its own horizontal row. Within this row, bar-by-bar data is displayed using a color gradient to represent the z-score values. The heatmap employs a user-defined gradient scale, where a chosen "cold" color represents low z-scores and a chosen "hot" color signifies high z-scores. As the z-score increases or decreases, the colors transition smoothly along this gradient, providing an intuitive visual indication of the z-score's magnitude.
- Cold Colors: Indicate values significantly below the mean (negative z-score)
- Mild Colors: Represent values close to the mean, suggesting minimal deviation.
- Hot Colors: Indicate values significantly above the mean (positive z-score)
This heatmap format provides a rapid, visually impactful means to discern how each symbol's price or volume is behaving relative to its average. The color-coded rows allow you to quickly spot outliers.
VOLUME TYPE
The "Volume Type" input allows you to choose the nature of volume data that will be factored into the volume z-score calculation. The interpretation of indicator’s data changes based on this input. You can opt between:
- Volume (Regular Volume): This is the classic measure of trading volume, which represents the volume traded in a given time period - bar.
- OBV (On-Balance Volume): OBV is a momentum indicator that accumulates volume on up bars and subtracts it on down bars, making it a cumulative indicator that sort of measures buying and selling pressure.
Interpretation Implications:
- For Volume Type: Regular Volume:
Positive Z-Score: Indicates that the trading volume is above its average, meaning there's unusually high trading activity .
Negative Z-Score: Suggests that the trading volume is below its average, signifying unusually low trading activity.
- For Volume Type: OBV:
Positive Z-Score: Signifies that “buying pressure” is above its average.
Negative Z-Score: Signifies that “selling pressure” is above its average.
When comparing Z-Score of OBV to Z-Score of price, we can observe several scenarios. If Z-Price and Z-Volume are convergent (have similar z-scores), we can say that the directional price movement is supported by volume. If Z-Price and Z-Volume are divergent (have very different z-scores or one of them being zero), it suggests a potential misalignment between price movement and volume support, which might hint at possible reversals or weakness.
