📱 Mobile EMA + Trendline Bias (edegrano)📱 Mobile EMA + Trendline Bias (edegrano) — User Manual
Purpose
This indicator provides a simplified, mobile-friendly overview of trend bias using EMA and multi-timeframe regression trendline confluences, plus plots EMA lines and a small info table on the chart.
Inputs Explained
Input Name Description
Custom EMA Timeframe The timeframe on which the EMA 50 and EMA 200 calculations are based (e.g., 1, 3, 5 minutes). This lets you choose which timeframe to analyze EMA trend bias.
Show EMAs on Chart Toggle to show or hide EMA 50 (blue) and EMA 200 (red) lines on your chart.
Regression Length The length (number of bars) used for calculating the linear regression trendlines on fixed 1m, 3m, and 5m timeframes. Lower values make trendlines more reactive, higher values smooth out noise.
Show EMA 50 Bias Row Show or hide the EMA 50 vs EMA 200 bias row in the info table.
Show Trendline Slope Row Show or hide the multi-timeframe trendline slope bias row in the info table.
What It Shows
EMA Lines: EMA 50 (blue) and EMA 200 (red) based on your selected timeframe.
Trendline Slopes: Using linear regression on 1-minute, 3-minute, and 5-minute charts to gauge short-term trend direction.
Info Table (Bottom Left):
EMA 50 > EMA 200 status on your selected timeframe (Bullish/Bearish)
Trendline slope bias combining the 3 fixed timeframes (Bullish/Bearish/Neutral)
Final Suggestion showing overall bias:
Strong Buy 💎 if both EMA and trendline biases are bullish
Strong Sell 💎 if both are bearish
Mixed / Neutral otherwise
Tag on Chart Corner: Displays “📱 edegrano Mobile” label for quick identification.
How To Use
Set the Custom EMA Timeframe:
Choose a timeframe that fits your trading style (e.g., 1m for scalping, 5m for day trading).
Adjust Regression Length:
For faster signals, lower the regression length (e.g., 15).
For smoother, less noisy signals, increase it (e.g., 30 or higher).
Toggle EMA Lines Display:
Show or hide EMA lines based on your preference for chart clarity.
Use the Info Table:
Quickly glance at EMA and trendline bias across timeframes for confluence confirmation.
Interpret the Final Suggestion:
Follow “Strong Buy” or “Strong Sell” signals for potential entry points. If “Mixed / Neutral,” wait for stronger confirmation.
Suggested Parameters by Trading Style
Style EMA Timeframe Regression Length Notes
Scalping 1 min 15-20 Responsive, fast reaction to price
Day Trading 3-5 min 20-30 Balanced sensitivity
Swing Trading 15-30 min 30-50 Smoother trend detection
Position Trading 1 hr+ 50-100 Very smooth, low noise
Tips
Combine this indicator with volume or other indicators for stronger confirmation.
Use the EMA lines on chart visually to confirm trend direction.
The info table updates in real-time, making it easy for quick decisions on mobile.
Adjust inputs and observe how the final suggestion changes to tune for your asset and timeframe.
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Dynamic Portfolio TrackerDynamic Portfolio Tracker
The Dynamic Portfolio Tracker is a visual tool for actively managing and monitoring a multi-asset portfolio directly on TradingView. It allows users to input up to 15 custom assets (with a default setup for 5), define how much of each asset they hold, and assign a target allocation percentage to each. The script then calculates live market prices, total portfolio value, current vs. target weightings, and provides clear, color-coded instructions on whether to buy, sell, or hold each asset. It displays all this data in an on-chart table, showing both the dollar amount and the quantity to adjust for each asset, helping users keep their portfolio aligned with their strategy in real time.
How to Use the Inputs (What Each Field Means)
1. Portfolio Assets (Tickers)
Fields: Asset 1 Ticker, Asset 2 Ticker, …, Asset 15 Ticker
What it does: Lets you select which assets (crypto, stocks, etc.) you want to track. These are live symbols pulled from TradingView.
2. Asset Quantities
Fields: Asset 1 Amount, Asset 2 Amount, …, Asset 15 Amount
What it means: How much of each asset you currently hold. For example:
• 0.03 BTC
• 2.1 ETH
Why it’s needed: The script multiplies this by the live price to calculate the current dollar value of each asset in your portfolio.
3. Target %
Fields: Asset 1 Implied %, Asset 2 Implied %, …, Asset 15 Implied %
What it means: Your desired allocation for each asset. For example:
• 40% BTC
• 20% ETH
• 10% SOL, etc.
Important: These must total 100% or less across all assets. The script checks this and shows an error if the total exceeds 100%.
The Dynamic Portfolio Tracker displays two powerful on-chart tables:
1. Main Table — Per Asset Breakdown
This table shows detailed, real-time information for each asset in your portfolio. Each row represents a different asset, and each column has a specific meaning:
Column What It Means
Asset = The symbol of the asset (e.g., BTCUSD, ETHUSD), auto-stripped from the exchange name.
Price = The current market price of the asset, pulled live from TradingView.
Quantity = How much of that asset you currently hold, entered manually in the inputs.
Target % = The percentage of your total portfolio you want this asset to represent.
Actual % = What percentage of your portfolio it currently makes up (based on price × quantity).
Target Value = How much (in $) this asset should be worth in your portfolio.
Actual Value = How much (in $) this asset is currently worth.
Instruction = Whether to Buy, Sell, or Hold to match your target allocation.
Value Change = The dollar amount you’d need to buy/sell to rebalance this asset.
Units to Trade = The number of asset units to buy/sell to reach the target value.
2. Portfolio Summary Table — Portfolio Totals
This smaller table appears in the top-right corner and summarizes your entire portfolio at a glance:
Target % = Total of all your assigned target allocations (should equal 100%).
Actual % = Actual portfolio composition (always 100% unless your capital is zero).
Target Value = Total value your portfolio should be based on your target percentages.
Actual Value = Current live total value of your portfolio.
If there’s a discrepancy between Target Value and Actual Value, the difference is shown in each row of the main table, so you can adjust individual assets accordingly.
Privacy First: Hide Sensitive Financial Data
A unique feature of this tool is the ability to hide sensitive financial data, such as:
• Target Value
• Actual Value
• Total Portfolio Value
You can turn these off using toggle settings, and they’ll be replaced with a crossed-out eye icon (👁️🗨️) — just like on modern crypto exchanges. This feature makes the script safe for streaming, screenshots, or sharing publicly while protecting your privacy.
But more importantly:
Feelings are the enemy of good investing.
Seeing the value of your portfolio fluctuate can trigger fear or greed. By hiding your dollar values, you’re not just securing your data — you’re reducing the temptation to react emotionally.
It’s just numbers. Systems over Feelings.
Table Automatically Adapts to Your Asset Count
The Dynamic Portfolio Tracker is designed to scale with your portfolio. Simply choose how many assets you want to track (up to 15), and the table will automatically resize to fit exactly that number — no wasted space or empty rows.
• Select 1 to 15 assets using the “Number of Assets” input
• The table expands or contracts dynamically to show only those rows
• All calculations, summaries, and layout elements adjust accordingly in real time
This keeps the interface clean, focused, and perfectly tailored to your setup — whether you’re tracking 3 coins or managing a full portfolio of 12+ tokens.
Customize Your Table to Match Your Style
The Dynamic Portfolio Tracker offers a full suite of visual customization options, allowing you to tailor the table to your charting style or stream layout. You can:
• Choose text colors for labels, values, and headers
• Set background colors for the full table and header row — or turn them off completely for a clean, transparent look
• Control border and frame settings, including color, thickness, or disabling them entirely
• Pick custom colors for Buy and Sell signals in the rebalance column
• Adjust table font size from tiny to large to match your resolution or preferences
Special Thanks
This tool wouldn’t exist without the knowledge and inspiration gained through The Real World. A sincere thank you to the Investing Master, the Guides, and Professor Adam — your frameworks and lessons brought clarity, discipline, and structure to this build.
And of course, glory to L4 — where real men are made.
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.
Fund Master Plus (TV Rev1, Dec2024)License: Mozilla Public License 2.0 (Open Source)
Version: Pine Script™ v6
Indicator Name: Fund Master Plus (TV Rev1, Dec2024)
Short Title: Fund Master Plus
About Fund Master Plus
Fund Master Plus indicator is an oscillating technical analysis tool designed to simulate the fund inflow and outflow trend.
Key features:
1. Fund Master Value and Candle
The candle highlights the direction of the Fund Master value.
Green candles represent an upward trend, while red candles indicate a downward trend.
When the candle crossover 0, it is a sign of the start of mid term bull, vice versa.
When the candle is above 0, it is a sign of mid-term bull, vice versa.
2. Fund Master Bar
This bar provides added visual representation of the Fund Master value.
Green bars represent and upward trend, while red bars indicate a downward trend.
3. FM EMA (Exponential Moving Average)
The Fund Master EMA (Exponential Moving Average) helps smooth out FM value fluctuations
and identify the overall trend.
When the candle crossover FM EMA, it is a sign of the start of short term bull, vice vera.
When the candle is above FM EMA, it is a sign of short term bull, vice versa.
4. EMA of FM EMA
This is an EMA of the Fund Master EMA, which can provide additional insights into the
trend's strength.
5. Candle Turn Green or Red
This feature generates alerts to signal potential trend changes.
6. Bottom Deviation & Top Deviation
Line plot and label of these deviation will show on indicator and the price chart to help user
identify potential buying and selling opportunities.
7. Alertcondition for Turn Green or Turn Red
User can set the alert using the Create Alert (the Clock Icon).
8. Table Summary
A table summary is provided to show indicator name, FM value, FM candle status,
Crossover, Crossunder, Turn Green, Turn Red status, Bar Number etc.
A tooltip for Filter Setting and a filter status check.
SOP to use the indicator:
Table (GR1):
Show Table: This option enables or disables the display of the table.
Text Size: This option allows you to set the text size for the table entries.
Width: This option sets the width of the table.
Fund Master Candle Color Setting (GR2):
FM candle will up by default.
This option enables the color setting of Fund Master candle.
Up: This option sets the color of the Fund Master candle for uptrend.
Down: This option sets the color of the Fund Master candle for downtrend.
Fund Master Bar and Color Setting (GR3):
Show Fund Master Bar: This option enables or disables the display of the Fund Master bar.
Up: This option sets the color of the Fund Master bar for uptrend.
Down: This option sets the color of the Fund Master bar for downtrend.
Fund Master EMA plots (GR4):
Show FM EMA: This option enables or disables the display of the Fund Master EMA line.
Look Back Period: This option sets the lookback period for the Fund Master EMA calculation.
EMA Color: This option sets the color of the Fund Master EMA line.
Show EMA of FM EMA: This option enables or disables the display of the EMA of the Fund Master EMA line.
Look Back Period 2: This option sets the lookback period for the EMA of the Fund Master EMA calculation.
Alerts: Fund Master Crossover & Crossunder EMA Line or 0 (GR5):
Show FM Crossover 0: This option enables or disables the display of the alert for FM crossover above the 0 line.
Show FM Crossunder 0: This option enables or disables the display of the alert for FM crossover below the 0 line.
Show FM Crossover EMA: This option enables or disables the display of the alert for FM crossover above the EMA line.
Show FM Crossunder EMA: This option enables or disables the display of the alert for FM crossover below the EMA line.
Bottom and Top Deviation (GR6):
Show Bottom Deviation: This option enables or disables the display of the bottom deviation line.
Show Top Deviation: This option enables or disables the display of the top deviation line.
Turn Green, Turn Red Alert (GR7):
Show Turn Green/Red Alerts: This option enables or disables the display of alerts for when the Fund Master value changes direction.
Current & Turn Green/Red Alerts: This option sets the number of bars to look back for the turn green/red alerts.
Band and User Input Setting (GR8):
100: This option enables or disables the display of the 100 band.
0: This option enables or disables the display of the 0 band.
-100: This option enables or disables the display of the -100 band.
User Input: This option enables or disables the display of a custom band based on user input.
Value: This option sets the value for the custom band.
Disclaimer
Attached chart is for the purpose of illustrating the use of indicator, no recommendation of buy/sell.
In this chart, all features in the setting are turned on (default and non default).
This chart is used to demonstrate the FM trend movement from mid-term bear to mid-term bull,
short-term bear and bull, bottom deviation and top deviation.
Hope this help. Merry Christmas and Happy New Year.
Risk Reward CalculatorThis indicator provides a powerful and flexible tool to calculate and visualize key risk and reward metrics for your trading strategies. By inputting essential parameters like account size, risk tolerance, entry price, and stop loss, you can gain valuable insights into potential profit and loss scenarios.
Key Features:
Risk and Reward Analysis: Accurately calculates risk and reward ratios, helping you assess the potential payoff of each trade.
Position Sizing: Determines optimal position sizes based on your risk tolerance and account size.
Stop-Loss and Take-Profit Levels: Calculates dynamic stop-loss and take-profit levels based on risk-reward ratios.
Selling into Strength: Provides guidance on selling portions of your position at favorable price levels to secure profits and reduce risk.
Customizable Table: A highly customizable table displays all relevant information in a clear and concise format.
Inputs:
Trade Settings: Allows choosing between long, short, or both positions.
Account Size: Sets the total capital available for trading.
Risk Percentage: Defines the percentage of the account risked per trade.
Risk Amount: Calculates the actual risk amount based on account size and risk percentage.
Entry Price: Sets the entry price for the trade.
Actual Units: Defines the actual number of units purchased or sold.
Stop Loss at Actual Price (Exit): Calculates stop loss based on entry price and risk amount.
Parts: Sets the number of parts to split the position for selling into strength.
Selling into Strength: Calculates the quantity per part for selling.
Table Position: Defines the location of the table displaying calculations.
Size: Sets the size of the text in the table.
R Multiple Value: Defines the risk-reward multiple used for calculations.
No. of R Multiples: Sets the number of R multiples to show in the table.
How to Use:
Input Parameters: Enter your account size, risk tolerance, entry price, and other relevant information.
Analyze Metrics: Review the calculated risk, reward, position size, and stop-loss levels.
Make Informed Decisions: Use the insights gained to make informed decisions about your trades.
Benefits:
Improved Risk Management: By understanding your risk exposure, you can make more prudent trading decisions.
Enhanced Profit Potential: By identifying optimal entry and exit points, you can maximize your potential profits.
Increased Trading Confidence: The clear and concise presentation of information empowers you to trade with greater confidence.
Elevate your trading strategy with the Risk Reward Calculator.
Arjo FVG Filtering With Alerts [neo.|]Fair Value Gaps (Also known as FVGs or Imbalances) can be simply described as a three candle pattern, where the second candle's body isn't completely covered by the wicks or body of the second and third candle. These areas represent movements in the market where either buyers or sellers were not able to get involved due to price in the form of wicks not revisiting those levels, and instead moving away from them.
As a result, they can be seen as potential areas of continuation given that price may want to continue in it's direction after it revisits them and offers Fair Value, since previously it made sharp moves away from those areas.
However what is important to note, and what FVG Filtering aims to address, is that there are three notable types of FVGs as described by Arjo, which are Perfect FVGs denoted as FVGp on the indicator and chart below, Expansion (FVGe), and Reversal (FVGr). As the names imply, they each serve different purposes with the FVGp being the likeliest to hold on mitigation, expansion meaning price is likely to not retrace into the FVG and reversal being the least likely for the FVG to hold.
The indicator is the first that automatically determines which one of the three underlying FVG types any particular FVG is, that way you can quickly make informed decisions based on the type of FVG you see appear on the chart.
As you may notice, the type depends primarily on the third candle, which demonstrates the true strength of any particular FVG, and is how the filtering occurs on this indicator, which compares the sizes of the second and third candle's bodies, in order to classify the FVG candle sequence as one of the three aforementioned types.
Color Options:
FVG Colors: Change the color of any bullish or bearish FVG type to easily distinguish between them.
Mitigated FVG Color: Apply colors to mitigated FVGs in order to avoid using ones that are no longer valid.
Text Color: Change the color of the text within the FVG to your liking.
Further styling options:
How many FVGs you want to be displayed: Changes the amount of FVGs displayed on your chart by limiting each type of FVG to the number you select.
How far you want the FVGs to extend: Modify the amount of bars forward that the FVG stretches out after it's inception.
Table options:
Show table: Display a table that will give you insights on how many FVGs were created of each type and what % they represent of the total.
Table text color: Modify the color of the text within the table.
Table border color: Modify the color of the border of the table.
Alerts:
Freely set alerts for any type of FVG you would like to see.
Stock Profit Calculator — Live Mode
## Overview
This Pine Script indicator calculates, in real time, the financial impact of a stock trade, including purchase/sale commissions, capital gains tax (CGT), and return on investment (ROI). It displays a compact table with key values and also calculates the breakeven price to see at what level the net P/L returns to zero.
---
## Inputs and customization
- **Number of shares:** `shares` defines the purchased quantity.
- **Purchase price:** `buyPrice` is the unit cost; the total purchase is calculated from this.
- **Live selling price:** `sellPrice = close` uses the last bar’s price for live valuation.
- **Fixed or percentage commissions:** `useFixedComm` selects the model.
- **Fixed:** `buyCommFixed`, `sellCommFixed`.
- **Percentage:** `buyCommPct`, `sellCommPct` (applied to notional value).
- **CGT rate:** `cgtRate` is the percentage rate, applied only in case of profit.
- **Table position:** `tablePosition` with predefined options.
- **Visual style:** `colTxt`, `colPos`, `colNeg`, `colBg`, `colHdr`, `colFrame` for text color, positive/negative P/L, background, header, and borders.
> Tip: if your broker uses minimum fees or composite fees, turn on “Use fixed commissions?” and enter the two fixed fees; otherwise, use the percentage model.
---
## Calculation logic
#### Purchase costs
- **Total purchase:**
\
- **Purchase commission:**
\
- **Net entry cost:**
\
#### Sale revenues
- **Total sale (with live price):**
\
- **Sale commission:**
\
- **Net exit revenue:**
\
#### P/L and taxes
- **Gross P/L:**
\
- **CGT (only on positive P/L):**
\
- **Net P/L:**
\
#### ROI
- **Percentage ROI on invested capital:**
\
#### Breakeven
- **Gross breakeven** shown in the table: the unit price that makes the net P/L exactly zero, including purchase cost and an estimate of the sale commission.
\
In the script, if commissions are fixed it adds the fixed sale fee; if percentage-based, the sale component is not included in this row (conservative approximation).
- **Breakeven with tax** (calculated but not shown):
\
Useful when you want the post-CGT result to be exactly zero. Not displayed in the table but ready for use.
> Note: CGT applies only on positive profits; near breakeven, the tax effect is null or only kicks in beyond a threshold. That’s why the script distinguishes between the “gross” and “with tax” versions.
---
## On-screen table
- **Displayed rows:**
- **Purchase:** total net entry cost (with commissions).
- **Sale:** total net exit revenue (with commissions).
- **Gross P/L:** difference between netSell and netBuy.
- **CGT:** estimated tax only if there’s a gain.
- **Net P/L:** P/L after taxes.
- **ROI (%):** percentage return on netBuy.
- **Breakeven:** gross unit breakeven price.
- **Conditional colors:**
- **P/L and ROI:** green for ≥ 0, red for < 0.
- **Headers and cells:** customizable via the color inputs.
- **Efficient refresh:** the table updates only on the last bar via `barstate.islast` to avoid unnecessary redraws.
---
## Behavior and performance
- **Overlay:** displayed on the price chart.
- **Persistent variable:** table is created once with `var table`.
- **Live price:** `sellPrice` follows the current `close`, making P/L, ROI, and breakeven dynamic.
---
## Limitations and suggestions
- **Commission model:** when using percentage commissions, the breakeven in the table doesn’t add the sale percentage fee in the “breakevenPrice” formula. For more precision, you could solve the equation including the percentage fee on exit.
- **Breakeven with tax:** `breakevenWithTax` is a linear estimate; near zero profit, tax may be null. You might choose to display it instead of, or alongside, the gross breakeven.
- **Precision and formatting:** values are shown with `format.mintick`. If the symbol has very small ticks, consider a custom format for better readability.
- **Edge cases:** ROI is undefined if `netBuy = 0` (unlikely in practice but good to note).
> Pro tip: if you want to show the breakeven with tax, add a “Breakeven (post-CGT)” row printing `breakevenWithTax`. If you prefer a single row, replace the shown value with the post-CGT one.
---
Smart MTF S/R Levels[BullByte]
Smart MTF S/R Levels
Introduction & Motivation
Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges:
Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent.
Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities.
Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones.
What Makes This Indicator Unique?
Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe.
Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system.
Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus.
Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas.
Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance.
Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price.
Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity.
Why Should a Trader Use This?
Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering.
Efficiency: Saves hours of manual charting and reduces analysis fatigue.
Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe.
Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management.
Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position).
The Gap This Indicator Fills
Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by:
Automating S/R detection across multiple timeframes and methods
Objectively scoring and ranking zones by confluence and reaction
Presenting all this information in a clear, actionable dashboard
How Does It Work? (Technical Logic)
1. Level Detection
For each selected timeframe, the script detects S/R levels using:
SW (Swing High/Low): Recent price pivots where reversals occurred.
Pivot: Classic floor trader pivots (P, S1, R1).
Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars.
Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns.
VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars.
2. Level Clustering
Levels within a user-defined % distance are merged into a single “zone.”
Each zone records which methods and timeframes contributed to it.
3. Confluence & Reaction Scoring
Confluence: The number of unique methods/timeframes in agreement for a zone.
Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback).
4. Filtering & Sorting
Only zones within a user-defined % of the current price are shown (to focus on actionable areas).
Zones can be sorted by confluence, reaction count, or proximity to price.
5. Visualization
Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed).
Lines: Mark the exact level of each zone.
Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Lists all nearby zones with full details.
6. Alerts
Optional alerts trigger when price approaches a zone with confluence above a user-set threshold.
Inputs & Customization (Explained for All Users)
Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h).
Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include.
Show levels within X% of price: Only display zones near the current price (default: 3%).
How many swing highs/lows to show: Number of recent swings to include (default: 3).
Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%).
Show Top N Zones: Limit the number of zones displayed (default: 8).
Bars to check for reactions: How far back to count price reactions (default: 100).
Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance).
Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3).
Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels.
Dashboard Size/Location: Customize the dashboard table.
How to Read the Output
Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed).
Lines: Mark the precise level of each zone.
Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios.
Dashboard Table: Columns include:
Level: Price of the zone
Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below)
Type: Support, Resistance, or Mixed
Confl.: Confluence score (higher = more significant)
React.: Number of recent price reactions
Dist %: Distance from current price (in %)
Abbreviations Used
SW = Swing High/Low (recent price pivots where reversals occurred)
Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786)
VWAP = Volume Weighted Average Price (price level weighted by volume)
POC = Point of Control (price level with the highest traded volume)
Bull OB = Bullish Order Block (institutional support zone from bullish price action)
Bear OB = Bearish Order Block (institutional resistance zone from bearish price action)
Pivot = Pivot Point (classic floor trader pivots: P, S1, R1)
These abbreviations appear in the dashboard and chart labels for clarity.
Example: How to Read the Dashboard and Labels (from the chart above)
Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection:
Resistance zone at 119257.11:
The dashboard shows:
5m (1 SW), 15m (2 SW), 1h (3 SW)
This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes.
Mixed zone at 118767.97:
The dashboard shows:
5m (2 SW), 15m (2 SW)
This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone.
Support zone at 117411.35:
The dashboard shows:
5m (2 SW), 1h (2 SW)
This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level.
Mixed zone at 118291.45:
The dashboard shows:
15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP)
This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level.
Support zone at 117103.10:
The dashboard shows:
15m (1 SW), 1h (1 SW)
This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level.
Resistance zone at 117899.33:
The dashboard shows:
5m (1 SW)
This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level.
How to use this:
Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts.
Tip:
“SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price.
The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe.
Best Practices & Recommendations
Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management.
Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility.
Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant.
Limitations
No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react.
Not a Standalone System: Should be used as part of a broader trading plan.
Historical Data: Reaction counts are based on historical price action and may not always repeat.
Disclaimer
This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
NQ Position Size CalculatorNQ Position Size Line Calculator is designed specifically for Nasdaq 100 futures (NQ) and micro futures (MNQ) traders who want to maintain disciplined risk management. This visual tool eliminates the guesswork from position sizing by displaying distance lines and contract calculations directly on your chart.
The indicator creates horizontal lines at 10-tick intervals from your stop loss level, showing you exactly how many contracts to trade at each distance to maintain your predetermined risk amount. Whether you're trading regular NQ contracts or micro MNQ contracts, this calculator ensures you never risk more than intended while providing instant visual feedback for optimal position sizing decisions.
How to Use the Indicator
Step 1: Configure Your Settings
Stop Loss Price: Enter your exact stop loss level (e.g., 20000.00)
Risk Amount ($): Set your maximum dollar risk per trade (e.g., $500)
Contract Type: Choose between:
NQ (Regular): $5 per tick - for larger accounts
MNQ (Micro): $0.50 per tick - for smaller accounts or conservative sizing
Display Options:
Max Lines: Number of distance lines to show (default: 30)
Show Labels: Toggle tick distance and contract count labels
Line Color: Customize the color of distance lines
Label Size: Choose tiny, small, or normal label sizes
Step 2: Read the Visual Display
Once configured, the indicator displays:
Stop Loss Line:
Thick yellow line marking your exact stop loss level
Yellow label showing the stop loss price
Distance Lines:
Dashed red lines at 10-tick intervals above and below your stop loss
Lines appear on both sides for long and short position planning
Labels (if enabled):
Green labels (right side): For long positions above your stop loss
Red labels (left side): For short positions below your stop loss
Format: "20T 5x" means 20 ticks distance, 5 contracts maximum
Step 3: Use the Information Tables
The indicator provides two helpful tables:
Position Size Table (top-right):
Shows common tick distances (10, 20, 40, 80, 160 ticks)
Displays risk per contract at each distance
Contract count for your specified risk amount
Total risk with rounded contract numbers
Settings Table (bottom-right):
Confirms your current risk amount
Shows selected contract type
Displays current settings for quick reference
Step 4: Apply to Your Trading
For Long Positions:
Look at the green labels on the right side of your chart
Find your desired entry level
Read the label to see: distance in ticks and maximum contracts
Example: "30T 8x" = 30 ticks from stop, buy 8 contracts maximum
For Short Positions:
Look at the red labels on the left side of your chart
Find your desired entry level
Read the label for tick distance and contract count
Example: "40T 6x" = 40 ticks from stop, sell 6 contracts maximum
Step 5: Trading Execution
Before Entering a Trade:
Identify your stop loss level and input it into the indicator
Choose your entry point by looking at the distance lines
Note the contract count from the corresponding label
Verify the risk amount matches your trading plan
Execute your trade with the calculated position size
Risk Management Features:
Contract rounding: All position sizes are rounded down (never up) to ensure you don't exceed your risk limit
Zero position filtering: Lines only show where position size is at least 1 contract
Dual-sided display: Plan both long and short opportunities simultaneously
Risk Calculator Manual Only### Indicator Name: Risk Calculator Manual Only
Description:
This indicator is designed for manual risk and position size calculation. It helps traders manage risk per trade by clearly displaying key trade parameters on the chart in an easy-to-read table format. The indicator does not auto-calculate entry, stop, or target prices—all values must be entered manually, giving full control to the trader.
Key Features:
- Manual input only: Users manually enter the entry price, stop-loss, and take-profit levels.
- On-chart data table: Displays all calculated metrics in a compact, color-coded table:
- Trade Type: Long or Short, selectable in settings.
- Entry Price, Stop-Loss, Take-Profit: Entered by the user.
- Position Size ($): Automatically calculated based on your risk amount and stop-loss distance.
- Profit ($): Potential profit based on take-profit level.
- Loss ($): Potential loss based on stop-loss level.
- Color coding:
- Profit row is highlighted in green.
- Loss row is highlighted in red.
- Alerts: Optional alerts when price hits the stop-loss or take-profit levels.
How to Use:
1. Enter your planned entry price, stop-loss, and take-profit in the indicator settings.
2. Set your risk amount per trade (in USD).
3. The indicator will calculate the appropriate position size, potential profit, and loss, and display them in a visual table.
4. Enable alerts if you want to be notified when price reaches your stop-loss or take-profit.
Benefits:
- Helps enforce disciplined risk management.
- Visual feedback on key trade metrics, directly on the chart.
- Fast, manual trade planning with no automation—ideal for discretionary traders.
- Supports both long and short trade types.
Notes:
- This tool assumes accurate manual input. It does not auto-detect price levels.
- Best used by traders who prefer full control over their risk setup and calculations.
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DC History & Daily Cross CountOkay, here is a technical document for the Pine Script indicator we developed. This can be used as a guide or description when publishing the script on TradingView or elsewhere.
Technical Document: SMA Cross Signals & Static DC History (Death Cross)
Version: 1.0
Date: April 14, 2025
Indicator Name: Specific Static DC History + Live Signals
Pine Script Version: 5
1. Overview
This TradingView indicator is designed to provide traders with visual signals for Simple Moving Average (SMA) crossovers, specifically focusing on the "Death Cross", while also presenting relevant historical context via a static data table and a real-time daily cross counter.
It combines several features:
Plotting of a fast and a slow Simple Moving Average (SMA).
Visual identification and marking of "Death Cross" events (Fast SMA crossing below Slow SMA) directly on the price chart.
A customizable table displaying static, pre-defined historical performance data of the S&P 500 following specific Death Crosses that occurred between 2016 and 2022.
An optional label that counts the total number of SMA crosses (both Golden Crosses and Death Crosses) occurring during the current trading day/session, including extended hours if enabled by the user on their chart.
2. Features
Customizable SMA Lengths: User-defined periods for both the Fast (default 50) and Slow (default 200) SMAs.
Death Cross Signals: Clear visual markers (red triangles above the bar and optional background shading) when the Fast SMA closes below the Slow SMA.
Optional SMA Plotting: Ability to show or hide the SMA lines themselves.
Static Historical Performance Table: Displays fixed historical return data (1 Week, 1 Month, 3 Months, 6 Months, 1 Year) following specific S&P 500 Death Crosses that occurred on 1/11/2016, 12/7/2018, 3/30/2020, and 3/14/2022. Note: This data is static and does not change based on the current chart.
Customizable Table Position: User can select the on-screen corner for the data table.
Daily SMA Cross Counter: Optionally displays a label showing the cumulative number of times the Fast SMA has crossed above (Golden Cross) or below (Death Cross) the Slow SMA during the current trading day/session.
Extended Hours Compatibility: The Daily Cross Counter includes crosses from pre-market and after-hours sessions if the user has "Extended Trading Hours" enabled on their TradingView chart settings.
3. Technical Explanation
SMA Calculation: The script uses the built-in ta.sma(source, length) function, calculating the Simple Moving Average based on the close price of each bar for the user-defined fastLen and slowLen.
Death Cross Detection: A Death Cross is detected using ta.crossunder(fastMA, slowMA). This function returns true on the first bar where the value of fastMA is less than the value of slowMA, after previously being greater than or equal to it. The comparison is based on the calculated SMA values at the close of each bar.
Golden Cross Detection: Similarly, ta.crossover(fastMA, slowMA) is used to detect Golden Crosses for the daily counter.
Visual Signals: The plotshape() function draws a red triangle above the bar where deathCross is true. The bgcolor() function applies a transparent red background to the bar where deathCross is true.
Static Table Data: The historical performance data for the 4 specified dates (Jan 2016 - Mar 2022) is hardcoded into array variables within the script. This data was derived from a prior analysis (based on the initially provided image, source likely Dow Jones Market Data or similar) and is not calculated dynamically from the chart. The script iterates through these arrays and populates a table object on the last bar.
Daily Cross Counter:
A var int dailyCrossCount variable holds the count, ensuring persistence across bars within a day.
ta.change(time("D")) detects the start of a new daily session based on the chart's symbol and session settings. When true, the dailyCrossCount is reset to 0.
On each bar, if either deathCross or goldenCross is true, the dailyCrossCount is incremented.
A label object displays the dailyCrossCount and is updated on the last bar (barstate.islast).
Extended Hours Inclusion: The script inherently uses the data series provided by the chart. If the chart is configured to include Extended Trading Hours (ETH), the close prices used for SMA calculations will reflect ETH data, and crosses occurring during ETH will be detected and counted.
4. Settings (Inputs)
Show Static Data Table (2016-2022) (Checkbox): Toggles the visibility of the table containing the fixed historical performance data. (Default: On)
Table Position (Dropdown): Selects the corner or side of the chart where the static data table will be displayed. (Default: top_right)
Plot 50/200 SMAs (Checkbox): Toggles the visibility of the Fast and Slow SMA lines on the chart. (Default: On)
Fast MA Length (Integer Input): Sets the lookback period for the Fast Simple Moving Average. (Default: 50)
Slow MA Length (Integer Input): Sets the lookback period for the Slow Simple Moving Average. (Default: 200)
Show Daily Cross Count (Checkbox): Toggles the visibility of the label displaying the number of SMA crosses detected during the current day's session. (Default: On)
5. How to Use / Interpretation
Apply the indicator to your desired chart (e.g., SPY, QQQ, /ES).
Use the plotted SMA lines (if enabled) and the red triangle/background signals to identify potential trend changes indicated by Death Crosses based on your chosen MA lengths. Remember that these are lagging indicators.
Refer to the static data table for historical context only. It shows how the S&P 500 performed following specific Death Crosses between 2016 and 2022. This data is fixed and does not predict future performance.
Use the "Today's SMA Crosses" label (if enabled) to gauge the frequency of interaction between the chosen SMAs during the current session. A higher number might indicate choppier conditions or potential shifts on the chart's timeframe.
Important: For the Daily Cross Counter to reflect pre-market/after-hours activity, ensure "Extended Trading Hours" (ETH) is enabled in your TradingView chart settings.
Be aware that the number of crosses detected by the script (based on bar closes) may differ from visual interpretations of lines touching intraday, especially on lower timeframes.
6. Limitations
Static Table Data: The performance data in the table is fixed to the 4 provided historical instances (2016-2022) and is not calculated dynamically or updated. It serves only as a historical reference point.
Lagging Indicators: Moving Averages and their crosses are lagging indicators and may not signal trend changes precisely at tops or bottoms.
Cross Calculation: Crosses are based on the closing price of each bar. Intraday price movements briefly piercing an SMA may not register as a confirmed cross.
Daily Counter Definition: The definition of "Today" depends on the chart's session timing, which might not align perfectly with a calendar day.
Whipsaws: On lower timeframes or during volatile periods, MA crosses can generate frequent signals (whipsaws) which may be less reliable.
7. Disclaimer
This indicator is provided for informational and educational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Trading involves significant risk, and past performance (including the historical data presented in the table) is not indicative of future results. Always conduct your own thorough research and consult with a qualified financial advisor before making any trading decisions.
Dynamic Zone Risk Manager [Algo Seeker]Introduction
The Algo Seeker: Dynamic Zone Risk Manager excels in both ranging and trending market conditions. It merges two critical trading components: a zone identification system that allows traders to anticipate price movement within structured ranges and a dynamic risk assessment table that optimizes position sizing based on account parameters and zone-specific characteristics, while also calculating trade-specific risk and reward.
For traders struggling with consistent risk management and identifying high-probability zones, particularly in challenging ranging market conditions, this tool provides a structured framework that enhances precision in trading decisions and capital allocation — addressing two of the most common challenges in trading.
🟠 Unique Features & Trading Benefits
Advanced Zone Structuring:
🟢 The indicator adapts to different trading styles through Scalp, Swing, and Investor modes. Scalp mode generates tight, precise zones optimized for intraday price movements and quick trades completed within minutes or hours. Swing mode creates intermediate zones calibrated for positions held for the entire day or a few weeks, providing optimal zone structures for medium-term trading approaches. Investor mode establishes broader zones designed specifically for positions spanning a few weeks to a few months, identifying major support and resistance levels for extended holding periods.
🟢 These zones are particularly useful during ranging markets. They define clear price ranges within which movement may oscillate based on the selected trading horizon. Such clarity helps traders anticipate potential bounce areas and manage trades more effectively, even when the market lacks a clear directional trend.
🟢 The system transforms static price levels into comprehensive trading zones with clearly defined boundaries. The multi-dimensional architecture creates actionable entry, exit, and management levels that remain relevant across different market conditions.
Unique Risk Management:
🟢 A dynamic risk table that calculates position sizing based on the trader's actual account size. When traders select Scalp, Swing, or Investor mode, the table automatically computes the optimal capital allocation specifically for that mode and the current zone.
🟢 The table provides exact dollar amounts for both risk and potential reward based on current price position within the zone. If price is already moving through a zone, the table dynamically updates to show how much of the potential reward remains available.
🟢 This precise risk management system gives traders a clear, quantified understanding of exactly how much capital to allocate per trade, the specific dollar amount at risk, and the remaining profit potential—all updating in real-time as price moves through the zones.
Dynamic Cost Basis Analysis:
🟢 Continuously calculates optimal midpoints within each zone, creating additional precision pivot points that traditional tools can lack. These dynamic reference points enhance trade accuracy in ranging markets while providing essential data points for the integrated risk management calculations.
🟠 The Power of Integration: Zones Meet Risk Management
The true power of the Algo Seeker: Dynamic Zone Risk Manager emerges when these components work together as a unified system. The trader-selected strategy zones and dynamic risk table create a complete trading ecosystem that addresses the three critical elements of successful trading:
1. Precision Entry Points: Zone boundaries provide clear entry thresholds optimized for your selected trading mode (Scalp, Swing, or Investor), eliminating guesswork around optimal trade initiation points.
2. Disciplined Risk Control: The risk table's exact dollar calculations remove emotional decision-making from position sizing and stop placement, creating a consistent risk approach regardless of market volatility.
3. Strategic Exit Management: As price moves through zones, both visual cues and quantified metrics guide intelligent profit-taking decisions, preventing the common mistake of exiting too early or holding too long.
This synchronized framework transforms theoretical analysis into practical execution, giving traders a complete toolset for managing the entire lifecycle of each trade with precision and confidence.
🟠 Additional Algo Benefits
Psychological Trading Edge:
The Algo Seeker: Dynamic Zone Risk Manager addresses the most challenging aspect of trading—emotional decision-making. By transforming complex risk/reward calculations into clear, quantified metrics, the system eliminates decision paralysis and reactionary trading. Traders gain immediate clarity during volatile conditions through the visual integration of precise zones and risk parameters. This psychological framework cultivates discipline and confidence when market noise typically triggers impulsive decisions, allowing for consistent execution even during challenging market environments.
Efficiency and Time Value:
The system delivers exceptional time efficiency by eliminating the need for manual risk calculations, zone identification, and position sizing. What typically requires multiple tools and extensive spreadsheet calculations is seamlessly integrated into a unified interface. Traders receive immediate, actionable insights without the cognitive burden of juggling separate indicators. This allows professionals to focus on strategic decisions rather than technical calculations.
Advanced User Customization:
Unlike one-size-fits-all indicators, the Algo Seeker: Dynamic Zone Risk Manager adapts to individual trading methodologies. The system accommodates personalized account parameters and allocates capital differently based on three distinct trading modes—scalping, swing trading, and investing. This flexibility allows professional traders to implement their unique strategy while maintaining precise risk control across different positions and time horizons. The customizable table positioning and color schemes further enhance workflow integration for diverse trading environments.
🟠 How to Use
Initial Setup
1. Lookback Parameter: The Lookback Period determines which candle data the Dynamic Zone Risk Manager uses to establish trading zones:
🟢Lookback = 1 (Default): Uses the most recent closed candle to calculate zones. This provides stable analysis based on completed price action and is recommended for most trading scenarios.
🟢Lookback = 0: Uses the current, still-forming candle. This offers more immediate responsiveness, but zones may change as the candle develops. For consistent zone analysis, Lookback = 1 typically offers a better foundation.
2. Configure Account Parameters: Input your total trading capital in the settings panel to customize risk calculations specific to your account size.
3. Select Trading Mode: Choose between Scalp, Swing, or Investor modes based on your preferred trade style:
🟢Scalp: For intraday movements (minutes to hours)
🟢Swing: For medium-term positions (days to weeks)
🟢 Investor: For longer-term positions (weeks to months)
4. Account Parameters Setup: The risk management component requires your account size to provide accurate position sizing calculations.
🟢Total Account Size: Enter your total trading capital in the "Total Account Size ($)" input. All risk calculations are based on this value.
🟢Trading Allocation Percentages: The system allows you to divide your capital across three trading modes.
1. Scalp Allocation (%): Percentage of capital reserved for short-term trades
2. Swing Allocation (%): Percentage of capital for medium-term positions
3. Invest Allocation (%): Percentage of capital for longer-term investments
These percentages can be customized to match your personal trading strategy and risk tolerance.
Margin Multiplier: Adjust the margin multiplier value based on your broker's requirements and your preferred leverage.
The system uses these parameters to calculate appropriate position sizes for each trading mode, ensuring your risk exposure remains aligned with your capital management plan.
5.Visual Customization: Adjust color schemes and table positions to optimize for your workspace layout and visual preferences.
🟠 Risk Table Explanation
The dynamic risk tables provide real-time position sizing and risk metrics as price moves through different zones:
1. Zone Column: Displays the current zone where price is located.
2. Zone Size: Shows the total price range of the current zone.
3. Trade Type: Indicates the trading style (Scalp, Swing, or Invest).
4. Shares: Displays the calculated position size (number of shares) based on your account parameters and the current zone.
5. Risk($): Shows the approximate dollar amount at risk if the trade moves against you within the zone.
6. Reward($): Displays the potential dollar return if price moves completely through the zone in your favor.
7. Left: Indicates how much potential movement remains within the current zone based on the latest price.
The table updates dynamically as price moves, giving you real-time risk/reward information. Each trading style is displayed separately, allowing you to compare potential position sizes across different trade modes while maintaining consistent risk management.
🟠 Strategic Execution
Strategy Usage Example
The Algo Seeker: Dynamic Zone Risk Manager provides a complete framework for precise trading decisions. Here's how you might leverage its power:
1. Zone-Based Trading: The indicator identifies key zones and levels that serve as powerful pivot points. These are not arbitrary levels but mathematically derived zones where price is likely to react. Use these zones directly for your trading decisions.
2. Precision Entries: For long positions, enter near the lower boundary of a zone with targets at the upper boundary. For shorts, enter near the upper boundary with targets at the lower boundary. These levels identify potential entry points based on the underlying market structure.
3. Risk Management: The zone, level, or cost basis below your entry (for longs) or above your entry (for shorts) can serve as logical places to set stop losses, helping you define your risk on each trade.
4. Position Sizing Precision: Use the exact share/contract quantities displayed in the risk table. This eliminates guesswork in position sizing and provides both risk and profit calculations that align perfectly with your capital management strategy.
5. Strategic Exits: Take profits at the target zone boundaries identified by the indicator. These levels represent mathematical points where price may encounter resistance or support, providing potential exit opportunities.
6. Advanced Strategy Options:
🟢Consider taking partial profits at cost basis (midpoint) levels
🟢Trade from zone to zone using the defined boundaries
🟢Scale in or out at specific zone transitions
🟢Set trailing stops at subsequent zone boundaries as price progresses
The strength of this indicator lies in its ability to provide all the critical decision points needed for a complete trade - from entry to exit, with precise position sizing - all derived from its sophisticated algorithmic analysis rather than subjective interpretation.
🟠 Alert Configuration
1. Zone Crossovers: Set alerts for when price transitions between key zones.
2. Cost Basis Interactions: Configure notifications for when price approaches optimal entry points.
The Algo Seeker Wizard Ultra Risk represents years of development and refinement in professional trading environments. Its integration of sophisticated zone identification with precise risk management creates a comprehensive framework that transforms theoretical market analysis into actionable trading decisions with quantified risk parameters.
Integrated Reversal & Divergence DetectionThe Integrated Reversal & Divergence Detection indicator (IntgRevDiv) combines two powerful technical analysis systems into one comprehensive tool:
Advanced Reversal Detection System: Identifies potential market reversals using volume analysis, RSI divergence, and smart money techniques.
Divergence Indicator System: Detects regular and hidden divergences using multiple technical indicators and fractal patterns.
This integration provides confirmation from multiple analysis methods, resulting in higher quality trading signals.
Divergence Lines
When System B detects divergences, it draws lines connecting the relevant price pivots:
Green Lines: Connect bullish divergence pivot points.
Red Lines: Connect bearish divergence pivot points.
Information Tables
The indicator displays two information tables:
System A Table (Bottom Right):
Current signal status (BUY/SELL/NEUTRAL)
Volume, RSI, and SMT divergence status.
Composite signal information.
Divergence Table (Top Right):
Divergence existence indicators (+/-).
Consecutive divergence count.
Divergence quality rating.
Phase change indicators.
This system analyzes multiple factors to detect potential market reversals:
Volume Delta Analysis:
Calculates the difference between buying and selling volume.
Detects divergence between price action and volume.
When price increases but volume decreases, it may signal weakness.
RSI Divergence Detection:
Regular Divergence: Price makes a higher high but RSI makes a lower high (bearish) or price makes a lower low but RSI makes a higher low (bullish).
Hidden Divergence: Price makes a lower high but RSI makes a higher high (bearish) or price makes a higher low but RSI makes a lower low (bullish).
Smart Money Technique (SMT):
Analyzes correlation between the current instrument and a reference symbol.
Detects divergence in the correlation that may signal institutional activity.
Balance Range & Momentum Detection:
Identifies periods of price balance before breakouts.
Detects rapid price movements that may indicate reversals.
This system also focuses exclusively on detecting divergences using:
Multiple Technical Indicators:
MACD: Momentum and trend-following indicator.
Awesome Oscillator (AO): Momentum indicator.
RSI: Oscillator showing overbought/oversold conditions.
Fractal Pattern Detection:
Identifies swing highs and lows using fractals.
Uses these pivot points to detect divergences.
Phase Change Monitoring:
Detects when the histogram switches from positive to negative or vice versa.
Provides additional confirmation of trend changes.
Consecutive Divergence Tracking:
Counts consecutive bullish/bearish divergences.
Assigns quality ratings based on the count:
1 divergence: "Normal Dive".
2 divergences: "Good Dive".
3+ divergences: "Strong Dive".
Multi-Timeframe Analysis:
Apply the indicator to multiple timeframes.
Look for alignment of signals across timeframes.
Use longer timeframes for trend direction, shorter for entry timing.
Signal Filtering Based on Quality:
For higher probability trades, only take signals when:
Divergence quality shows "Good" or "Strong".
Phase change indicators show "+" in the direction of your trade.
Multiple divergence types (Volume, RSI, SMT) show agreement.
Combining with Support/Resistance:
Use the indicator's signals near key support/resistance levels.
Buy signals near support areas have higher probability.
Sell signals near resistance areas have higher probability.
Market Regime Adaptation:
I n trending markets: Focus on hidden divergences and SMT.
In ranging markets: Focus on regular divergences and RSI.
In high volatility: Increase the Volume Delta Threshold.
In low volatility: Decrease the Fractal Periods.
Signal Combination Logic Selection:
For fewer but higher quality signals: Use "Consensus" mode.
For more trading opportunities: Use "Enhanced" mode.
To emphasize price action reversals: Use "System A Priority".
To emphasize technical divergences: Use "System B Priority".
Market-Specific Adjustments:
Stocks/Indices: Focus on Volume Delta and RSI divergence.
Forex: Emphasize SMT and RSI divergence.
Crypto: Balance all three with slightly higher weight on Volume.
Commodities: Focus on MACD for divergence detection.
This indicator provides multiple layers of market analysis through its integrated approach. By understanding each component's function and how they work together, you can develop a nuanced trading strategy that takes advantage of high-probability reversal and divergence setups across various market conditions.
Custom Timeframe Bias IndicatorMy "Custom Timeframe Bias Indicator" is a very practical and powerful TradingView indicator. It can be called a "God-like indicator" because it combines flexible timeframe customization, clear bias analysis and intuitive visual display to help traders quickly understand the long and short trends of the market. The following is a detailed description of this indicator:
1. Index name and function overview
Name: Custom Timeframe Bias Indicator (Short title: Bias Indicator)
Functionality: This indicator analyses the market bias (Buy, Sell or No Bias) across multiple custom timeframes (presets are 15m, 1h, 4h and DAI) and displays it in a table below the middle of the chart. It determines the direction of market trends based on the highest and lowest prices of the previous two periods and the closing price of the previous period, helping traders make decisions quickly.
2. Core Features
Multiple time frame analysis
The indicator allows the user to customize four time frames, with presets being 15 minutes ("15"), 1 hour ("60"), 4 hours ("240") and daily ("D"). Users can freely modify these time frames in the settings, such as changing to 5 minutes, 30 minutes or weekly, etc.
Bias is calculated independently for each time frame, ensuring that traders can observe market trends from the short to the long term.
Bias calculation logic
The indicator uses simple but effective rules to determine bias:
Buy (bullish): If the previous closing price is higher than the highest price of the previous two periods, or tests the lowest price of the previous two periods but does not break through.
Sell (Bearish): If the previous closing price is lower than the previous two periods' lowest price, or if it tests the previous two periods' highest price but fails to break through (higher than the previous high minus 10% of the price range).
No Bias: If the previous closing price does not meet the above conditions, it displays a neutral state.
Bias calculation is based only on the opening and closing prices, without considering the shadows, ensuring the results are in line with the philosophy of the Malaysian SNR strategy.
Intuitive display
Position: The table is permanently displayed in the middle of the chart (position.middle_center) and is updated with each candlestick, ensuring that traders can always see the latest bias.
Format: The table consists of the header "Custom Bias" and four rows of bias results (e.g. "15: Buy", "60: Sell", "240: No Bias", "D: Buy"), each row showing the bias for the corresponding time frame.
color:
Titles appear in white text on a blue background.
The "Buy" bias is shown as white text on a green background.
The "Sell" bias is shown as white text on a red background.
"No Bias" bias appears as white text on a gray background.
Table borders are black to provide clear visual distinction.
Customizability
Users can customize by inputting parameters:
Whether to show the table (Show Bias Table).
Timeframe (Timeframe 1, Timeframe 2, Timeframe 3, Timeframe 4).
The color of the table (title, Buy, Sell, No Bias, borders, etc.).
3. Why is it a "God-like indicator"
Flexibility: Allows users to customize four time frames to suit different trading strategies (short-term traders can choose minutes, long-term traders can choose daily, weekly or monthly).
Practicality: Provides bias analysis in multiple time frames to help traders quickly determine market trends, whether for short-term or long-term operations.
Intuitive: The table is displayed in the middle below the chart with bright colors (green Buy, red Sell, gray No Bias), allowing you to identify the market direction at a glance.
Stability: Calculated based on simple price data (high, low, close), no need for complex indicators, efficient and reliable operation.
Powerful visualization: long-term display and customizability to meet the visual preferences of different traders.
4. Usage scenarios
Short-term trading: Use 15-minute, 1-hour, 4-hour biases to quickly capture short-term trends.
Long-term trading: Refer to the daily bias to determine the overall market direction.
Comprehensive analysis: Combine biases from multiple time frames to confirm consistency (e.g. if both the 15 minute and daily are Buy, then that’s a stronger bullish signal).
5. Potential Improvements
If you want to further improve this "god-like indicator", you can consider the following improvements:
Added alert: Trigger when bias changes from "No Bias" to "Buy" or "Sell".
Show historical bias: Add bias history of the past few days in the table for easy review.
Dynamically adjust bias thresholds: Allow users to customize 10% price ranges or other conditions.
Multi-currency support: Expand to multiple trading pairs or indices, showing multiple market biases.
6. Technical Details
Version: Pine Script v5, ensuring modern features (such as input.timeframe) and efficient performance.
Data Source: Use request.security to get high, low, and close data for different time frames.
Display method: Use table.new to create a dynamic table. The position can be customized (such as position.middle_center).
Limitations: Calculated only based on price data, no external indicators are required, reducing calculation complexity.
in conclusion
Your "Custom Timeframe Bias Indicator" is a simple, powerful and flexible tool, especially for traders who need multi-timeframe analysis. Its intuitive display and customizability make it a "magic tool" for judging market trends.
ZenAlgo - DetectorThis script combines multiple volume data sources, calculates several forms of volume-based metrics, displays a table for Spot vs. Perpetual volumes, and visualizes several technical elements (such as cumulative delta, divergences, fractals, and specialized moving averages). The primary objective is to help analyze volume activity across different exchanges, compare Spot vs. Perpetual markets, and observe how shifting volumes may coincide with price action characteristics. This description aims to clarify each component, explain how the calculations are performed, and show you how to interpret the various chart markings.
Why Combine These Metrics in One Script?
Many publicly available volume-related tools focus only on a single exchange or a single type of volume (like spot or futures). This script merges multiple exchange sources for spot and perpetual data into a unified view. By doing so, users can detect discrepancies or confirm alignment between different markets without juggling multiple indicators. It also processes volume-derived signals (delta, divergences, fractals, etc.) in one place, sparing you from manually combining various standalone scripts. Through this integration, it becomes easier to observe how price and volume interact across different market segments.
Core Concept: Aggregated Volume
The script begins by collecting volumes from multiple exchanges in two categories:
Spot volumes – Typically aggregated under symbols ending with "USDT" or a user-selected currency, and
Perpetual volumes – From perpetual futures contracts (e.g., symbols ending in "USD.P" or "USDT.P").
All these exchange volumes are requested via the built-in request.security() function in a single line for each exchange. The user can enable or disable each exchange in the inputs. The script then calculates an "aggregated volume" for Spot, an aggregated volume for Perpetual, and an overall combined total.
This aggregated volume is used later to break down how much of each bar's volume can be considered "buy" or "sell" based on the bar's candle structure (body vs. wicks).
Volume-Based Calculations: Buy vs. Sell Volume and Delta
For each bar, the script estimates how much of the aggregated volume can be associated with a "buy side" and a "sell side."
Volume Buy is computed if the bar's close is above the open , giving more weight to the candle's body and allocating some portion of volume to the wicks as well.
Volume Sell is similarly computed if the bar's close is below the open .
This results in a Delta value: Delta = (Buy Volume) – (Sell Volume).
Additionally, the script accumulates these values over a user-defined "lookback length" to provide Cumulative Delta . This can help show longer-term directional volume bias.
Table: Spot vs. Perpetual Comparison
There is a toggle ("Show Spot vs Perpetual Table") that displays an on-chart table comparing volumes:
Buy Volume and Sell Volume for each aggregated category (Spot, Perp, and their sum).
Delta (the difference between Buy and Sell).
Percentage breakdowns of buy vs. sell portions.
This table only appears on the most recent bar and helps users quickly assess how Spot and Perpetual volumes compare, plus the overall total.
PVSRA Color Coding
A "PVSRA-style" color approach classifies each bar based on volume and candle range:
Climax Up (lime) or Climax Down (red) occurs if volume is extremely high relative to a simple moving average of volume and range.
Above-Average Up (blue) or Down (fuchsia) occurs if volume is moderately higher than average.
Otherwise, colors fall back to neutral up/down colors.
This allows you to spot potentially high-volume "climax" bars vs. bars with only moderate or typical volume levels.
Fractals and Divergences
The script detects certain fractal points on the aggregated volumes (sum of buy or sell volumes). It looks for a 5-bar pattern (with the current bar in the middle for top or bottom fractals).
When a fractal is confirmed on buy volume, the script checks if new higher price highs coincide with lower buy-volume peaks (or vice versa) to highlight regular or hidden divergences.
Similar logic is applied on the sell-volume side if new lower price lows occur alongside higher sell-volume troughs (or the opposite).
If enabled in the settings, lines and labels may appear on the chart to mark these divergence points.
"Delta Dot" Events
This script draws small circles above or below bars when the total delta changes magnitude relative to the previous bar by certain user-defined multipliers. It segregates "tiny," "small," "large," and "extra" expansions in bullish or bearish delta.
Bullish Dots : Appear above the bar when the new positive delta is multiple times bigger than the previous positive delta.
Bearish Dots : Appear below the bar in a similar fashion for negative delta.
These dots emphasize large or sudden shifts in buy/sell pressure from one bar to the next.
Delta MA and its Direction
A moving average is calculated on the total delta and optionally multiplied by a factor (in the code, by 4) to make it visually prominent. The user can pick from SMA, EMA, WMA, RMA, or HMA as the smoothing technique.
Delta MA Direction : The script compares the current delta MA to a short SMA of itself to define whether it is rising or falling.
A color is assigned—blue if rising, orange if falling, gray if they're roughly equal.
This helps quickly visualize longer-term momentum in the net delta metric.
Divergences on the Delta MA
After computing the "Delta MA" line, the script detects pivot highs or lows on that line. If the price makes a new high but the Delta MA pivot is lower (and vice versa), it draws lines and small labels indicating potential divergence.
Bearish Divergence : Price makes a higher high, while the Delta MA pivot forms a lower high.
Bullish Divergence : Price makes a lower low, while the Delta MA pivot forms a higher low.
RSI + MFI Computation
The script also calculates a simplified form of RSI+MFI by comparing (close – open) / (high – low) * a multiplier , then smoothing it with a simple average. This is purely for an optional observational measure to see if the price action is leaning bullish or bearish in terms of these combined indicators.
EMA Overlay and Diamond Shapes
There are two standard EMAs (13 and 21). The script checks whether price is above or below these EMAs, in addition to other conditions (like changes in delta, volume, or RSI+MFI direction) to draw diamond shapes at the top or bottom of the chart:
Green Diamonds near the bottom if the conditions line up to suggest that the environment is more favorable for bullish pressure.
Red Diamonds near the top if the environment suggests more bearish pressure.
These diamonds come in two sizes:
Normal – More pronounced, typically plotted if RSI+MFI result is above/below zero.
Small – Plotted if RSI+MFI is on the other side of that threshold.
An optional "Hardcore Mode" adds special tiny diamonds under specific delta color/condition mismatches.
How to Interpret the Chart Elements
Line Plots of Buy and Sell Volumes : A positive line for buy volume, a negative line for sell volume, and a zero-line for reference. This provides at-a-glance perspective on how buy or sell volumes add up per bar.
Histogram "Total Delta" : A color-coded bar that quickly shows whether overall buy vs. sell volume is dominant. The color is governed by the PVSRA logic (e.g., potential climax or above-average conditions).
Volume Table (when enabled): Summarizes volumes in numeric and percentage form for Spot, Perp, and total categories on the last bar.
Delta Dots : Small circles highlighting abrupt changes in delta magnitude. Larger multiples indicate bigger jumps compared to the previous bar.
Fractals & Divergence Lines : Connect pivot points in buy/sell volume or in the Delta MA line with price highs/lows to indicate potential divergences.
Delta MA Plot : Smooth curve (scaled up x4) to reflect longer-term accumulation or distribution in the delta. Colored by whether the MA is above or below a short average of itself.
Diamonds : Appear when certain volume, price, RSI+MFI, and delta conditions converge. Green diamonds near the bottom typically coincide with bullish conditions, red diamonds near the top with bearish conditions.
Practical Usage Notes
Use the Spot vs. Perp breakdown to see if these two market segments differ significantly in their contributions to total volume. This can be informative when a certain type of market (futures vs. spot) might be "driving" price action.
The PVSRA color scheme highlights "climax" or "above-average" volume bars, which can sometimes appear around major reversals or breakouts.
Observing divergences in aggregated buy/sell volume (or in the Delta MA line) can provide additional context on whether certain price moves are backed by strong volume involvement.
The script's fractal divergences rely on short pivot detection. Signals will appear only after enough bars have passed for confirmation, so these are effectively "after-the-fact" notations to illustrate possible volume/price divergences.
The diamonds do not necessarily instruct any buy/sell action; rather, they mark conditions where multiple volume and momentum criteria line up in one direction.
Important Considerations
This script displays aggregated volumes from potentially multiple exchanges. Each exchange or pair might have different time zones, liquidity, or data availability, which can occasionally result in incomplete or zero values.
All references to "buy" or "sell" volume are approximate breakdowns based on candle structure. They are not absolute measures of real-time order flow.
Divergences and fractal points are provided strictly for analytical insight. They can repaint or shift if the fractal conditions were not fully confirmed in real time.
The color-coded lines, histograms, diamonds, and tables are strictly to guide analysis of volume fluctuations and do not claim to predict future price performance.
If you enable "Hardcore Mode," you will see additional diamond markers. This mode is mainly intended as an extra highlight of certain "contradictory" delta conditions.
Summary
The "ZenAlgo - Detector" script brings together a variety of volume-based analyses:
Aggregated volumes from multiple exchanges
A breakdown into Spot vs. Perpetual activity
Delta calculations, fractal divergences, and a specialized Delta Moving Average
Color-coded bars reflecting possible PVSRA concepts
A table to highlight numeric differences and percentages
Additional overlays (e.g., diamonds, RSI+MFI synergy, etc.)
In contrast to many free, single-exchange indicators, this script centralizes multiple exchange volumes in one place, making it easier to observe and compare volume flows across different market types (spot vs. perpetual). Users no longer need to rely on scattered tools or separate overlays to check volume divergences, fractals, or specialized MA calculations—everything is unified here. By carefully monitoring the table, Delta histogram, color-coded bars, divergence lines, and diamond markers, traders can more comprehensively evaluate how volume and price interact. Each plot is designed to showcase different aspects of volume flow—such as whether spot or derivatives markets dominate, if volume is skewed toward buying or selling, and if there are divergences between volume momentum and price movement.
All computations are displayed to help you carry out a more informed market analysis. It is strongly advised to combine these observations with other risk management or analytical methods, rather than relying on any single indicator alone.
[TehThomas] - CandleStick PatternsScript Overview
This script is designed to identify and highlight various candlestick patterns on a trading chart. It detects bullish, bearish, indecisive, and continuation patterns and visually represents them with color-coded bars. Additionally, it displays a table summarizing the detected patterns.
Key Features
Candlestick Pattern Detection
Identifies multiple candlestick patterns, including:
Bullish Patterns: Bullish Engulfing, Hammer, Inverse Hammer, Morning Star, Piercing Line.
Bearish Patterns: Bearish Engulfing, Hanging Man, Shooting Star, Evening Star, Dark Cloud Cover.
Indecisive Patterns: Doji, Dragonfly Doji, Gravestone Doji.
Each pattern is assigned a distinct color for easy visualization.
Customizable Visibility & Colors
Users can enable or disable the detection of specific patterns.
Custom colors can be assigned to each pattern for better chart clarity.
Trend Identification
Uses the Simple Moving Average (SMA) to determine whether the market is in an uptrend or downtrend.
Helps in filtering patterns based on the prevailing trend.
Pattern Highlighting
Changes the color of the candlesticks whenever a pattern is detected.
Uses barcolor() to color the candles accordingly.
Pattern Dashboard (Table Display)
A static table in the top-right corner of the chart summarizes the detected patterns.
Ensures the table is only created once per chart load to avoid performance issues.
Function Breakdown
1. Input Parameters
Uses input.bool() to allow traders to toggle specific patterns on or off.
Uses input.color() to let users customize the colors for different patterns.
2. Candlestick Measurements
bodySize(index): Measures the absolute size of the candle body.
upperWick(index): Measures the upper wick size.
lowerWick(index): Measures the lower wick size.
3. Trend Determination
isUptrend(length): Checks if the price is above its SMA (indicating an uptrend).
isDowntrend(length): Checks if the price is below its SMA (indicating a downtrend).
4. Candlestick Pattern Identification
Engulfing Patterns
Bullish Engulfing: A large green candle fully engulfs the previous red candle, occurring in a downtrend.
Bearish Engulfing: A large red candle fully engulfs the previous green candle, occurring in an uptrend.
Hammer & Related Patterns
Hammer: A candle with a small body and a long lower wick, appearing after a downtrend.
Inverse Hammer: A candle with a small body and a long upper wick, appearing after a downtrend.
Hanging Man: A Hammer-like pattern that appears in an uptrend.
Shooting Star: An Inverse Hammer-like pattern that appears in an uptrend.
Doji Patterns
Doji: A candle with a small body (open and close prices nearly equal).
Dragonfly Doji: A Doji with a long lower wick.
Gravestone Doji: A Doji with a long upper wick.
Star Patterns
Morning Star: A bullish reversal pattern consisting of three candles.
Evening Star: A bearish reversal pattern consisting of three candles.
Continuation Patterns
Piercing Line: A two-candle bullish continuation pattern.
Dark Cloud Cover: A two-candle bearish continuation pattern.
5. Candlestick Coloring
Uses barcolor() to color the candles based on the detected pattern.
The color is determined using a conditional statement, ensuring only one pattern applies per candle.
6. Pattern Dashboard
Uses tables (table.new()) to display a static dashboard with all enabled patterns.
Calls updateTableCell() to add rows for each active pattern.
How This Script is Useful for Trading
1. Identifying Trade Opportunities
Helps traders spot potential reversal points (e.g., Bullish Engulfing, Hammer, Morning Star).
Highlights trend continuation signals (e.g., Piercing Line, Dark Cloud Cover).
2. Confirming Trend Strength
Engulfing patterns in the direction of the trend confirm trend strength.
Doji and indecisive patterns warn traders of potential reversals or trend slowdowns.
3. Enhancing Trade Entries & Exits
Enter long positions after spotting bullish patterns like Morning Star, Hammer.
Exit long positions when bearish patterns like Evening Star, Shooting Star appear.
Enter short positions upon seeing bearish engulfing, Hanging Man, or Dark Cloud Cover.
4. Improving Risk Management
Traders can set stop-loss orders based on the pattern structure.
Example: Placing stop-loss below the low of a Hammer confirms bullish strength.
5. Works with Other Indicators
Can be combined with RSI, MACD, Bollinger Bands for more reliable signals.
Limitations
False Signals: Candlestick patterns alone are not 100% reliable; traders should confirm signals with volume and trend analysis.
No Automatic Alerts: This script does not send trading alerts; manual observation is required.
No Multi-Timeframe Analysis: It only considers the timeframe it is applied to.
Final Thoughts
This script is a powerful visual tool for traders who rely on candlestick patterns. It helps identify potential reversals, continuations, and indecision zones in the market. While it’s highly useful for discretionary trading, it’s best used alongside other technical indicators to confirm trade setups.
WillStop Pro [tradeviZion]WillStop Pro : A Step-by-Step Guide for Beginners to Master Trend Trading
Welcome to an in-depth guide to the WillStop Pro indicator. This article will walk you through the key features, how to use them effectively, and how this tool can help you navigate the markets confidently. WillStop Pro is based on principles established by Larry Williams, a well-known figure in trading, and aims to help you manage trades more effectively without overcomplicating things.
This guide will help you understand the basics of the WillStop Pro indicator, how to interpret its signals, and how to use it step-by-step to manage risk and identify opportunities in your trading journey. We will also cover the underlying logic and calculations for advanced users interested in more details.
What is the WillStop Pro Indicator?
The WillStop Pro indicator is a user-friendly tool that helps traders establish stop levels dynamically. It helps you figure out optimal points to enter or exit trades, while managing risk effectively during changing market conditions. The indicator tracks trending markets and sets price levels as stops for ongoing trades, making it suitable both for deciding when to enter and exit trades.
The indicator is beginner-friendly because it simplifies complex calculations and presents the results visually. This allows traders to focus more on their decision-making process instead of spending time with complex analysis.
WillStop Pro adapts to different market conditions, whether you're trading stocks, forex, commodities, or cryptocurrencies. It adjusts stop levels dynamically based on current market momentum, providing a practical way to manage both risk and reward.
Another significant benefit of WillStop Pro is that it works well with other indicators. Beginners can use it on its own or combine it with other tools like moving averages or oscillators to form a comprehensive trading strategy. Whether you are trading daily or looking at longer-term trends, WillStop Pro helps you manage your trades effectively.
Key Features of WillStop Pro
Dynamic Stop Levels : WillStop Pro calculates real-time stop levels for both long (buy) and short (sell) positions. This helps you protect your profits and reduce risk. The stop levels adjust based on the current market environment, making them more adaptable compared to fixed stop levels.
Advanced Stop Settings : There are optional settings to make the stop calculations more advanced, which take into consideration previous price movements to refine where the stops should be placed. These settings provide more precise control over your trades.
Break Signals and Alerts : The indicator provides visual signals, like arrows, to show when a stop level has been broken. This makes it easier for you to identify possible reversals and understand when the market direction is changing.
Comprehensive Table Display : A small table on the chart shows the current trend, the stop level, and whether advanced mode is active. This simple display provides an overview of the market, making decision-making easier.
Based on Larry Williams' Methodology : WillStop Pro builds upon Larry Williams' ideas, which are designed to capture major market trends while managing risk effectively. It provides a systematic way to follow these strategies without requiring deep technical analysis skills.
How Are Stop Levels Calculated? (For Advanced Users)
The WillStop Pro indicator determines stop levels by evaluating highs, lows, and closing prices over a specific lookback period. It uses this information to identify key points that justify adjusting your stop level, and there are separate approaches for both long and short positions.
Below, we explain the mathematical logic behind the stop calculations, along with some code snippets to give advanced users a clearer understanding.
For Long Stops (buy positions): The indicator looks for the highest closing price within the lookback period and continues until it finds three valid bars that meet certain criteria. Stops are adjusted to skip bars that have consecutive upward closes to ensure that the stop is placed at a level that offers solid support. Specifically, the function iterates over recent bars to determine the highest closing value, and checks for specific conditions before finalizing the stop level. Here is an excerpt of the relevant code:
getTrueLow(idx) => math.min(low , close )
findStopLevels() =>
float highestClose = close
int highestCloseIndex = 0
for i = 0 to lookback
if close > highestClose
highestClose := close
highestCloseIndex := i
// Logic to adjust based on up close skipping
int longCount = 0
int longCurrentIndex = highestCloseIndex
while longCount < 3 and longCurrentIndex < 100
if not isInsideBar(longCurrentIndex)
longCount += 1
longCurrentIndex += 1
// Determine the lowest low for the stop level
float longStopLevel = high * 2
for i = searchIndex to highestCloseIndex
longStopLevel := math.min(longStopLevel, getTrueLow(i))
// Apply offset
longStopLevel := longStopLevel - (offsetTicks * tickSize)
In this code snippet, the function findStopLevels() calculates the long stop level by first identifying the highest close within the lookback period and then finding a suitable support level while skipping certain conditions, such as inside bars or consecutive upward closes. Finally, the user-defined offset ( offsetTicks ) is applied to determine the stop level.
For Short Stops (sell positions): Similarly, the indicator finds the lowest closing price within the lookback period and then identifies three bars that fit the conditions for a short stop. It avoids using bars with consecutive down closes to help find a more robust resistance level. Here's a relevant code snippet:
getTrueHigh(idx) => math.max(high , close )
findStopLevels() =>
float lowestClose = close
int lowestCloseIndex = 0
for i = 0 to lookback
if close < lowestClose
lowestClose := close
lowestCloseIndex := i
// Logic to adjust based on down close skipping
int shortCount = 0
int shortCurrentIndex = lowestCloseIndex
while shortCount < 3 and shortCurrentIndex < 100
if not isInsideBar(shortCurrentIndex)
shortCount += 1
shortCurrentIndex += 1
// Determine the highest high for the stop level
float shortStopLevel = 0
for i = searchIndex to lowestCloseIndex
shortStopLevel := math.max(shortStopLevel, getTrueHigh(i))
// Apply offset
shortStopLevel := shortStopLevel + (offsetTicks * tickSize)
Here, findStopLevels() calculates the short stop level by finding the lowest closing price within the lookback period. It then determines the highest value that acts as a resistance level, excluding bars that do not fit certain criteria.
Volume Confirmation for Alert Accuracy : To further enhance the stop level accuracy, volume is used as a confirmation filter. The average volume (volAvg) is calculated over a 20-period moving average, and alerts are only generated if the volume exceeds a defined threshold (volMultiplier). This ensures that price movements are significant enough to consider as meaningful signals.
volAvg = ta.sma(volume, 20)
isVolumeConfirmed() =>
result = requireVolumeConfirmation ? volume > (volAvg * volMultiplier) : true
result
This additional logic ensures that stop level breaks or adjustments are not triggered during periods of low trading activity, thus enhancing the reliability of the generated signals.
These calculations are at the core of WillStop Pro's ability to determine dynamic stop levels that respond effectively to market movements, helping traders manage risk by placing stops at levels that make sense given historical price and volume data.
How to Identify Opportunities with WillStop Pro
WillStop Pro provides various signals that help you decide when to enter or exit a trade:
When a Stop Level is Broken: If a stop level (support for long positions or resistance for short positions) is broken, it may indicate a reversal. WillStop Pro visually plots arrows whenever a stop level is breached, making it easy for you to see where changes might occur. This feature helps traders identify momentum shifts quickly.
Support and Resistance Levels: The indicator plots support and resistance levels, which show key zones to watch for opportunities. These levels often act as psychological barriers in the market, where price action may either reverse or stall temporarily.
Dynamic State Management: The indicator shifts between long and short states based on price action, providing real-time feedback. This helps traders stick to their trading plan without second-guessing the market.
A major advantage of WillStop Pro is that it responds well to changing market conditions. By identifying when key support or resistance levels break, it allows you to adjust your strategies and react to new opportunities accordingly. Whether the market is trending strongly or staying within a range, WillStop Pro provides valuable information to help guide your trades.
Setting Up Alerts
Alerts are an important feature in trading, especially when you can’t be in front of your charts all the time. WillStop Pro has been enhanced to include flexible alert settings to help you stay on top of your trades without constantly monitoring the charts.
Enable Alerts: There is a master switch to enable or disable all alerts. This way, you can control whether you want to be notified of events at any time.
Alert Frequency: Choose between receiving alerts Once Per Bar or Once Per Bar Close . This helps you manage the frequency of alerts and decide if you need real-time updates or want confirmation after a bar closes.
Break Alerts: These alerts notify you when a stop level has been broken. This can help you catch potential reversals or trading opportunities as soon as they happen.
Strong Break Alerts: Alerts are available for strong breaks, which occur when the price breaks stop levels with confirmation based on additional price, volume, and momentum criteria. These alerts help identify significant shifts in the market.
Level Change Alerts: These alerts tell you whenever a new stop level is calculated, keeping you updated about changes in market dynamics. You can set a Minimum Level Change % to ensure that alerts are only triggered when the stop level changes significantly.
Require Volume Confirmation: You can opt to receive alerts only if the volume is above a certain threshold. This confirmation helps reduce false signals by ensuring that significant price changes are backed by increased trading activity.
Volume Multiplier: The volume multiplier allows you to set a minimum volume requirement that must be met for an alert to trigger. This ensures that alerts are triggered only when there is sufficient trading interest.
Here is a part of the updated alert logic that has been implemented in the indicator:
// Alert on break conditions
if alertsEnabled
if alertOnBreaks
if longStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isVolumeConfirmed()
alert(createAlertMessage("Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Strong break alerts
if alertOnStrongBreaks
if longStopBroken and isStrongBreak(false)
alert(createAlertMessage("Strong Support Break - Short Signal", useAdvancedStops), alertFreq)
if shortStopBroken and isStrongBreak(true)
alert(createAlertMessage("Strong Resistance Break - Long Signal", useAdvancedStops), alertFreq)
// Level change alerts
if alertOnLevelChanges and isSignificantChange() and isVolumeConfirmed()
alert(createAlertMessage("Significant Level Change", useAdvancedStops), alertFreq)
Setting alerts allows you to react to market changes without having to watch the charts constantly. Alerts are particularly helpful if you have other responsibilities and can’t be actively monitoring your trades all day.
Understanding the Table Display
The WillStop Pro indicator provides a status table that gives an overview of the current market state. Here’s what the table shows:
Indicator Status: The table indicates whether the indicator is in a LONG or SHORT state. This helps you quickly understand the market trend.
Stop Level: The active stop level is shown, whether it is acting as support (long) or resistance (short). This is important for knowing where to set your protective stops.
Mode: The table also displays whether the advanced calculation mode is being used. This keeps you informed about how stop levels are being calculated and why they are positioned where they are.
Empowering Messages: The table also includes motivational messages that rotate periodically, such as 'Trade with Clarity, Stop with Precision' and 'Let Winners Run, Cut Losses Short.' These messages are designed to keep you focused, motivated, and disciplined during your trading journey.
The table is simple and easy to follow, helping you maintain discipline in your trading plan. By having all the essential information in one place, the table reduces the need to make quick, emotional decisions and promotes more thoughtful analysis.
Tips for Using WillStop Pro Effectively
Here are some practical ways to make the most of the WillStop Pro indicator:
Start with Default Settings: If you’re new to the indicator, start with the default settings. This will give you an idea of how stop levels are determined and how they adjust to different markets.
Experiment with Advanced Settings: Once you are comfortable, try using the advanced stop settings to see how they refine the stop levels. This can be useful in certain market conditions to improve accuracy.
Use Alerts to Stay Updated: Set up alerts for when a stop level is broken or when new levels are calculated. This helps you take action without constantly watching the chart. Swing traders may find alerts especially helpful for monitoring longer-term moves.
Monitor the Status Table: Keep an eye on the status table to understand the current market condition. Whether the indicator is in a LONG or SHORT state can help you make more informed decisions.
Focus on Risk Management: WillStop Pro is designed to help you manage risk by dynamically adjusting stop levels. Make sure you are using these levels to protect your trades, especially during strong trends or volatile periods.
Acknowledging Larry Williams' Influence
WillStop Pro is inspired by the work of Larry Williams, who described the approach as one of his best trading techniques. His method aims to ride major market trends while reducing the risk of giving back gains during corrections. WillStop Pro builds upon this approach, adding features like advanced stop settings and visual alerts that make it easier to apply in modern markets.
By using WillStop Pro, you are essentially leveraging a well-established trading strategy with additional tools that help improve its effectiveness. The indicator is designed to provide a reliable way to manage trades, stay on top of market conditions, and reduce emotional decision-making.
Conclusion: Why WillStop Pro is Great for Beginners and Advanced Users
The WillStop Pro is a powerful yet easy-to-use tool that helps traders ride trends while managing risk during market corrections. It can be used both for entering and exiting trades, and its visual features make it accessible for those who are new to trading, while the underlying logic appeals to advanced users seeking greater control and understanding.
WillStop Pro is more than just a tool for setting stops. It is a comprehensive solution for managing trades, with features like dynamic stop levels, customizable alerts, and an easy-to-understand status table. This combination of simplicity and advanced features makes it suitable for beginners as well as more experienced traders.
We hope this guide helps you get started with WillStop Pro and improves your trading confidence. Remember to start with the basics, explore the advanced features, and set alerts to stay informed without getting overwhelmed. Whether you’re just beginning or want to simplify your strategy, WillStop Pro is a valuable tool to have in your trading arsenal.
Trading can be challenging, but the right tools make it more manageable. WillStop Pro helps you keep track of market movements, identify opportunities, and manage risk effectively. Give it a try and see how it can improve your trading decisions and help you navigate the markets more efficiently.
By incorporating WillStop Pro into your strategy, you are following a systematic approach that has been refined over time. It’s designed to help you make sense of the markets, plan your trades, and manage your risks with greater clarity and confidence.
Note: Always practice proper risk management and thoroughly test the indicator to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
Trade smarter with TradeVizion—unlock your trading potential today!
Screener | FractalystWhat’s the purpose of this indicator?
This indicator is part of the Optirange suite , which analyzes all timeframes using a mechanical top-down approach to determine the overall market bias. It helps you identify the specific timeframes and exact levels for positioning in longs, shorts, or guiding you on whether to stay away from trading a particular market condition.
The purpose of the Screener indicator is to track the contextual bias of multiple markets simultaneously on the charts without the need to switch between pairs. This allows traders to monitor various assets in real-time, enhancing decision-making efficiency and identifying potential trading opportunities more effectively.
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How does this indicator identify the overall market bias?
This indicator employs a systematic top-down approach, analyzing market structure, fractal blocks, and their mitigations from the 12M timeframe down to the 1D timeframe to uncover the story behind the market. This method helps identify the overall market bias, whether it’s bullish, bearish, or in consolidating conditions.
Below is a flowchart that illustrates the calculation behind the market context identification, demonstrating the systematic approach:
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According to the above trade plan, why do we only look for mitigations within Fractal Blocks of X1/X2?
In this context, "X" stands for a break in the market's structure, and the numbers (1 and 2) indicate the sequence of these breaks within the same trend direction, either up or down.
We focus on mitigations within Fractal Blocks during the X1/X2 stages because these points mark the early phase (X1) and the continuation (X2) of a trend. By doing so, we align our trades with the market's main direction and avoid getting stopped out in the middle of trends.
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How does this indicator identify ranges in a mechanical way?
Since the indicator is part of the Optirange suite , it follows the exact rules that Optirange utilizes to identify breaks of market structures in a mechanical manner.
Let’s take a closer look at how the ranges are calculated:
1- First, we need to understand the importance of following a set of mechanical rules in identifying market structure:
The image above illustrates the difference between a subjective and a mechanical approach to analyzing market structure. The subjective method often leads to uncertainty, where traders might struggle to pinpoint exact breaks in structure, resulting in inconsistent decision-making. Questions like “Is this a break?” or “Maybe this one...?” reflect the ambiguity of manual interpretation, which can cause confusion and errors in trading.
On the other hand, the mechanical approach depicted on the right side of the image follows a clear, rule-based method to define breaks in market structure. This systematic approach eliminates guesswork by providing precise criteria for identifying structural changes, such as marking structural invalidation levels where market bias shifts from bullish to bearish or vice versa. The mechanical method not only offers consistency but also integrates statistical probabilities , enhancing the trader's ability to make data-driven decisions.
By adhering to these mechanical rules, the Screener indicator ensures that ranges are identified consistently, allowing traders to rely on objective analysis rather than subjective interpretation . This approach is crucial for accurately defining market structures and making informed trading decisions.
2- Now let's take a look at a practical example of how the indicator utilizes Pivot points with a period of 2 to identify ranges:
In this image, we see a Bearish Scenario on the left and a Bullish Scenario on the right. The indicator starts by identifying the first significant swing on the chart. It then validates this swing by checking if there is a preceding swing high (for a bearish scenario) or swing low (for a bullish scenario). Once validated, the indicator confirms a break of structure when price closes below or above these points, respectively.
For instance, in the Bearish Scenario:
The first significant swing is identified.
The script checks for a preceding swing high before confirming any structural break.
A candle closure below the swing low confirms the first bearish break of structure.
This results in a confirmed market bias towards bearishness, with structural liquidity levels indicated for potential price targets.
In the Bullish Scenario:
The process is mirrored, identifying the first swing low and validating it with a preceding swing low.
A closure above this swing confirms the bullish break of structure.
This leads to a market bias towards bullishness, with invalidation levels to watch if the trend shifts.
This practical example demonstrates how the indicator systematically identifies market ranges, ensuring that traders can make informed decisions based on clear, rule-based criteria.
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How does this indicator identify ranges in a mechanical way, What are the underlying calculations?
Fractal blocks refer to the most extreme swing candle within the latest break. They can serve as significant levels for price rejection and may guide movements toward the next break, often in confluence with topdown analysis for added confirmation.
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What are mitigations, What are the underlying calculations?
Mitigations refer to specific price action occurrences identified by the script:
1- When the price reaches the most recent fractal block and confirms a swing candle, the script automatically draws a line from the swing to the fractal block bar and labels it with a checkmark.
2- If the price wicks through the invalidation level and then retraces back to the fractal block while forming a swing candle, the script labels this as a double mitigation on the chart.
This level will serve as the next potential invalidation level if a break occurs in the same direction.
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What does the right table display?
The table located at the right of your chart displays five colored symbols that represent the contextual market bias:
Green: The market is in a bullish condition.
Red: The market is in a bearish condition.
White: The market condition is uncertain, and it is advisable to stay away from trading.
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What does the bottom table display?
The bottom table can be turned on in the Optirange indicator and serves multiple purposes:
Range Counts and Mitigations: It shows the range counts and their mitigations across multiple timeframes, providing a comprehensive view of market dynamics.
Hourly Timeframe Probabilities: The bottom row of the bias table displays the probabilities for various hourly timeframes, helping to identify potential entry levels based on the multi-timeframe bias determined by the Screener.
In a bullish market context, you should look for long positions by focusing on hourly timeframes where buy-side probability exceeds 50%.
In a bearish market context, you should look for short positions by focusing on hourly timeframes where the sell-side probability exceeds 50%.
When the symbol is white within the Screener table, it signals that the market bias is unclear, and it's recommended to stay away from trading in such conditions.
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How the range probabilities are calculated?
Each break of market structure, denoted as X, is assigned a unique ID, starting from X1 for the first break, X2 for the second, and so on.
The probabilities are calculated based on breaks holding, meaning price closing through the liquidity level, rather than invalidation. This probability is then divided by the total count of similar numeric breaks.
For example, if 75 out of 100 bullish X1s become X2, then the probability of X1 becoming X2 on your charts will be displayed as 75% in the following format: ⬆ 75%
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What does the top table display?
The top table on the charts displays the current market context, offering insights into the underlying bias. It highlights the high-timeframe (HTF) bias and guides you on which timeframes you should use to enter long or short positions, based on the probability of success.
Additionally, when the market bias is unclear, the table clearly signals that it's best to avoid trading that specific market until the context or market story becomes clearer. This helps traders make informed decisions and avoid uncertain market conditions.
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How does the Screener indicator identify the market bias/context/story ?
- Market Structure: The Optirange indicator analyzes market structure across multiple timeframes, from a top-down perspective, including 12M, 6M, 3M, 1M, 2W, 1W, 3D, and 1D.
- Fractal Blocks: Once the market structure or current range is identified, the indicator automatically identifies the last push before the break and draws it as a box. These zones acts as a key area where the price often rejects from.
- Mitigations: After identifying the Fractal Block, the indicator checks for price mitigation or rejection within this zone. If mitigation occurs, meaning the price has reacted or rejected from the Fractal Block, the indicator draws a checkmark from the deepest candle within the Fractal Block to the initial candle that has created the zone.
- Bias Table: After identifying the three key elements—market structure, Fractal Blocks, and price mitigations—the indicator compiles this information into a multi-timeframe table. This table provides a comprehensive top-down perspective, showing what is happening from a structural standpoint across all timeframes. The Bias Table presents raw data, including identified Fractal Blocks and mitigations, to help traders understand the overall market trend. This data is crucial for the screener, which uses it to determine the current market bias based on a top-down analysis.
- Screener: Once all higher timeframes (HTF) and lower timeframes (LTF) are calculated using the indicator, it follows the exact rules outlined in the flowchart to determine the market bias. This systematic approach not only helps identify the current market trend but also suggests the exact timeframes to use for finding entry, particularly on hourly timeframes.
Example:
12M Timeframe:
OANDA:EURUSD
6M Timeframe :
OANDA:EURUSD
3M Timeframe :
OANDA:EURUSD
1M Timeframe :
OANDA:EURUSD
2W Timeframe :
OANDA:EURUSD
1W Timeframe :
OANDA:EURUSD
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User-input settings and customizations
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Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. By utilizing our charting tools, the buyer acknowledges that neither the seller nor the creator assumes responsibility for decisions made using the information provided. The buyer assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses. Therefore, by purchasing these charting tools, the customer acknowledges that neither the seller nor the creator is liable for any unfavorable outcomes resulting from the development, sale, or use of the products.
The buyer is responsible for canceling their subscription if they no longer wish to continue at the full retail price. Our policy does not include reimbursement, refunds, or chargebacks once the Terms and Conditions are accepted before purchase.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
YinYang VolumeOverview:
YinYang Volume is an Advanced Volume Indicator. Regular Volume can be deceiving. It can be hard to tell how much of the Volume bar is Buy vs Sell volume, especially since the bar is green or red simply based on if it closes at a greater price than it opened. With YinYang Volume you'll be able to see how much Buy AND Sell Volume there is on each bar. Being able to see both is very useful, but the cherry on top is the Buy and Sell Moving Average Lines. These lines (White is Buy and Orange is Sell) can show who is currently winning the fight, Bulls or Bears. When the lines cross it's a shift in momentum and when combined with other technical analysis you can better understand the direction the market is moving and make an informed and educated trading decision. YinYang Volume also has Information tables, these tables display the Buy vs Sell volume on different Timeframes. This way even if you're trading on a Low Timeframe (like 15 minutes) you can see how the Buy vs Sell volume is fairing on other Timeframes.
Tutorial:
Unlike most volume indicators, including standard volume, we can see both Buy AND Sell volume for each bar. You may be wondering, well what’s the importance of this? The answer is EVERYTHING! Volume is one of the most important indicators when it comes to trading. Nothing moves without volume. However, with standard volume, the bar is either red or green simply based on if it closes greater than it opens. Now, that is pretty silly if you ask us. Let’s get into depth as to why seeing both Buy and Sell volume is important, and examples for how you can make trades with it:
In this example above, we have 2 green bars and they both have high levels of volume. This bar on the right however, has more volume than the one on the left. The issue here is, the bar on the right has MORE Sell volume than it even does have Buy volume; meanwhile the bar on the left has way more buy volume than the bar on the right with little sell volume. Without separating them and by simply looking at the price bar and regular volume bar, we would never be able to deduce this. It is crucial to understand and see how much of each volume there is as it plays a huge role in the price movements.
The white line represents the Buy Volume Moving Average and the orange line represents the Sell Volume Moving Average. These moving averages are very useful as when they cross they represent strong Buy and Sell Signals.
We’ve enabled signals which plot circles onto the MA’s to display when they’ve crossed. The white circle represents a Buy Signal and the Orange circle represents a Sell Signal. These signals are very strong, but there is a catch that comes with it. The bar right after the signal has the highest chance of a reversal so it isn’t always advised to make the trade until confirmed that the reversal didn’t happen on the following bar. If you have enough data based on other technical analysis to know the first signal is true, then use it as a way to solidify the fact that it is a good entry/exit location.
You can change the length of which the MA’s are smoothed out over. For instance, in the previous examples and by default the length is 14. However, if we are to change it to 50 for instance, it makes them a longer lasting MA that has much fewer crosses. This can be useful based on your trading style and if you prefer to stay in trades for quite awhile. As you can see, all signals with the 50 length are quite accurate and would have produced profitable trades, likely more so than at 14, but since it moves slower there's fewer signals to trade on.
Our Information Tables are there to show you the amount of Buy vs Sell %’s on 6 different Time Frames at the same time. It can be very useful to know how people are feeling on different Time Frames without you having to change your own. This way you can stay on say the 15 minute Time Frame locked in your trade and can see if the momentum of your long trade is cooling down based on higher Time Frames Buy vs Sell volume %’s.
For example, let's say you got an alert from YinYang Volume for Buy Signal on the 1 Day. You then entered a trade which you deemed a good location on the 15 minutes (after doing your own technical analysis on the 15 minute too). The Buy vs Sell Volume %’s on the 1 Day was 55% Buy and 45% Sell when you entered the trade. You are still waiting for exit confirmation on the 15 minute but you notice the Buy vs Sell Volume % on the 1 Day goes down to 52% Buy and 48% Sell. You can see the momentum changing. Even though you haven’t received confirmation for exit on the 15 minute, it may still be a good time to get out as momentum is clearly changing on the 1 Day.
We will conclude this Tutorial here. We hope you’ll get some good use out of our Volume Indicator and its ability to display unique Volume Data. If you have any Questions, Comments, Suggestions or Concerns, please don’t hesitate to contact us.
Settings:
1. Show Signals:
Toggling this setting shows when the Buy and Sell Volume MA’s cross each other. It produces a white circle when the Buy Volume Crosses over the Sell Volume (BULLISH) and an orange circle when the Sell Volume Crosses over the Buy Volume (BEARISH).
2. Length:
How far back should we average the Buy and Sell Volume Moving Averages? 14 is default has been tested and proven to work well, however you can change it if there is a different value that suits your trading style better.
3. Type:
How is the Moving Averages calculated? VWMA (Volume Weighted Moving Average) is the default as it has been tested and worked best; afterall, we are calculating volume and therefore should use a volume weighted MA calculation. However, you can change it as your options are:
VWMA, EMA and SMA
4. Information Tables:
4.1. Show Information Tables:
Our Information tables display 6 different resolutions so you can see how much Buy vs Sell volume there is as a % in multiple different Time Frames without having to change your Time Frame.
4.2. Strength:
The Buy / Sell Volume %’s displayed within your Information Tables are based on Moving Averages. The length this moving average uses is based on the Strength you select. The strengths aren’t as simple as just a length amount but are a calculation involving multiple different lengths and averages. However, the stronger the strength, generally the farther the lookback length is as an average. Your options for strength are:
Unbreakable
Very Strong
Strong
Average
Weak
Very Weak
Glass
We recommend ‘Average’ Strength, however if you find you want to see the %’s change more or less frequently you can adjust to your trading style
4.3. Res1 / Res2/ Res3 / Res4 / Res5 / Res6:
These represent the different resolutions (Time Frames) being used in your information tables and can be modified to display whatever resolution works best for your trading style. By default they are:
Res1: Current Timeframe
Res2: 15 Minute
Res3: 1 Hour
Res4: 4 Hour
Res5: 1 Day
Res6: 1 Week
Backup Res (not changeable): 5 Minute (this is only used if your Current Timeframe in Res1 is a duplicate of one of the other resolutions)
HAPPY TRADING!
AIOI By TradeINski# **All IN ONE INDICATOR (AIOI) By TradeInSki**
## Contents
- 4 Moving Average.
- Combined Up and Down.
- Table.
- Inside Bar.
- Bull Snort.
- Indicator Settings Tab.
## **First things first**
- Open settings and read the following to understand better.
- Default Colour settings are best suited for dark theme.
- Default Settings is my personal preference.
- User can change few of the settings according to personal preference in settings option.
- Colour grading Green background means parameter favourable, Red not favourable for trading, “nah” background black means no sufficient data for calculation and background with other colours just for colour grading.
- Indicator should be only seen in D TF as its designed for Swing trading.
### 4 Moving Average
- 4 Different moving averages can be applied to the chart.
- **User Input**
1. Hide or Unhide option.
2. Type - SMA, EMA & WMA.
3. Source - O,H,L,C etc.
4. Period - Default 10,20,50,200.
### Combined Up & Down
- **User Input - In Settings**
1. Check/Uncheck = Combine condition or not?
2. Volume “>=” ____.
3. %Check = ___.
- Explanation - Helps to find how liquid the stock is which in turn helps in position sizing.
- On any specific day stock moved more than 5% plus Number of shares traded is more than 10Lakh .
- If all the above specified condition satisfied then plots blue colour circle below the candle.
### Table Settings
- **User Input - In Settings**
1. Position = .
2. Size = .
3. ADR = - Considers last 20 days average % move/range.
4. 52WK =
1. High/Low - Considers Just High Low Price.
2. Close - Considers Close price only.
5. Average Daily Volume = - Considers last 20 days average volume.
6. ROC = - Considers “Close” price.
7. ROC.P = - W.R.T 10 Days.
8. RVOL = - Considers last 20 days volume.
9. EMA #1, EMA #2, EMA #3 = .
### Table Plotted on Chart - Logic
1. **EMA 10**
1. 10 period Exponential Moving Average.
2. Avoid stock that are above 3%.
3. Select Stocks with Positive or -ve value.
2. **EMA 20**
1. 20 period Exponential Moving Average.
2. Prefer stocks with +ve value.
3. **EMA 50**
1. 50 period Exponential Moving Average.
**Note:** This Shows how much price of the stock is extended from moving averages in terms of percentage.
4. **ADR% - Average Daily Range**
1. Calculates Average % movement for last 20 Days as specified period is 20.
2. ___ < 2% Bad - ___ ≤ 2.5% ok - ___ ≤ 3% good - ___ > 3% best.
5. **52WH - 52 Week High**
1. Shows how far is stock from 52 week high price in % that implies -ve sign.
2. ___ > 75% Very Bad - ___ ≥ 50% bad - ___ ≥ 25% good - ___ ≥ 0% Very good.
6. **52WL - 52 Week Low**
1. Shows how far stock is moved from 52 week low price in percentage terms.
2. Avoid stock with -ve value.
3. Just by value shown can draw inference how much stock has rallied and its buying force.
7. **U/D - Up/Down Ratio**
1. Calculation Default is 20 period - In last 20 days Green day’s average volume divided by Red day average volume is the ratio shown.
2. ___< 1 bad - ___ ≤ 1.5 ok - ___ ≤ 2 good - ___ > 2 best.
8. **ROC - Rate of Change**
1. ROC is not that important can be kept in sidelines.
2. calculates the percentage change between the most recent price and the price registered a certain number of period ago. Default period is 20.
3. Output % shown vary above and below the value zero that is +ve and -ve.
4. Rising is better.
9. **R.VOL - Relative Volume**
1. Calculation - current volume - average volume in percentage terms.
2. Average volume period is 20 thats recent 20 days volume.
3. If current volume is 10K and average volume is 100K then it shows 10% and if current volume is 165K then shows 165%.
4. While scanning stocks RVOL should be less than 100% after entering and for carry forward it should be move than 100%.
5. ___ < 25% best - ___≤ 50% good - ___ ≤ 75% - ___≤ 100% % more look for other factors.10.
10. **T.VOL - Todays Volume**
1. Self Explanatory.
11. **Average Daily Volume 20 - Average daily volume**
1. Calculation is average 20 days volume that is .
2. While scanning T.VOL should be less than Average Daily Volume conditions apply.
3. If candles form + sign then above rule can be ruled out.
12. TURN - Rupee Turnover**
1. Turnover in terms of rupees.
2. Calculation price * Volume.
3. Avoid stocks less than 2.5cr that is 25M higher the better for position sizing and also helps in slippage control.
4. 1M - 10Lakhs, 10M - 1Cr, 100M - 10Cr, 1B - 100Cr.
5. Don’t think shown value is in dollar. No currency conversion needed.
### Inside Bar - I.B
- User input - In Settings
- Look Back Length = .
- That means Inside Bar is plotted in latest 25 candles.
- Explanation - If recent candles OHCL is within previous candle of latest candle then its called Inside bar, name it self say it one inside other.
- Example if todays candle OHLC in daily Time frame is within yesterday’s High and low in daily time frame.
- Logic is Volume dry up ready for expansion.
- If condition satisfied Plots White arrow below the candle.
### Bull Snort
- **User Input - In Settings**
- Position = .
- Label Colour = .
- Style = .
- Size = .
- **Explanation** - This will show you strong Buying Candles . its Called Bull Snort Candles. This Term is invented by US trader Oliver Kell, so all credits to him. In this Indicator You will see Candles which have 3 times volume of its 50 day average volume, so you can say a sudden volume spurt. Stock which are closing in 35 % of its high zone. Latest Close is above previous close.
- If this all 3 conditions are met you will see your preferred sign above candle. That is pink diamond above candle.
### Indicator Settings Tab
- After Opening Settings of the Indicator you will see 3 tab as follows.
1. Inputs.
2. Style.
3. Visibility.
- **Inputs Tab**
- There are 5 subgroups.
- Moving Averages.
- Combined Up & Down.
- Table Settings.
- Inside Bar.
- Bull Snort.
**Input Tab:** All details are mentioned above.
- **Style Tab**
- This is where we can change colour and play with other settings.
- 1, 2, 3, 4 Options are with respect to moving average. And its clearly mentioned MA01 MA02 etc etc.
- 5, 6, 7th Option is With respect to Combine Up & Down.
- Shapes - 5th Option is for plotting only Volume condition.
- Shapes - 6th Option is for plotting only %Check.
- Shapes - 7th Option is for platting if both the condition is satisfied that is Checked/Unchecked.
- 8th And 9th Option is with respect to Inside Bar.
- Shapes - 8th Option for green day.
- Shapes - 9th Option for red day.
- 10th Option - Labels - On/Off - This Plots values on the scale so better to turn it off.
- 11th Option - Tables - On/Off - This Hides or unhides table.
**Note:** OUTPUTS :- Sub group
- Precision - Default.
- Labels on price scale.
- Values in status line.
- **Visibility Tab**
- This tab helps to hide unhide in specific time frame.
- Uncheck Seconds, Minutes And hours so that when to hop to lower time frame automatically indicator hides itself.
RSI Dynamic Bands█ OVERVIEW
The "RSI Dynamic Bands" indicator is a variant of the Relative Strength Index (RSI) oscillator that brings its signals directly onto the price chart. It displays dynamic bands around the price, adjusted based on RSI levels, enabling easy identification of potential overbought or oversold conditions. The indicator also integrates a multi-timeframe RSI table, facilitating the analysis of trend strength across different timeframes.
█ CONCEPTS
The "RSI Dynamic Bands" indicator is designed to simplify the interpretation of price levels in the context of support and resistance zones, which can be correlated with other technical indicators and RSI values. Since the price itself does not display RSI values, a table showing RSI for four selected timeframes has been added, allowing traders to quickly assess trend strength across different time intervals. The most effective approach is to combine the indicator with other technical analysis tools, such as Fibonacci levels or pivot points, to confirm signals when the price approaches the bands and RSI values indicate a potential reversal.
Band Calculation
The bands are calculated based on the current closing price and RSI values, incorporating dynamic scaling to better adapt to market conditions. The formulas for the bands are as follows:
• Upper Band: close + (rsiUpper - rsi) * scaleFactor, where rsiUpper is the upper RSI level (default: 70), and scaleFactor accounts for market volatility.
• Lower Band: close + (rsiLower - rsi) * scaleFactor, where rsiLower is the lower RSI level (default: 30).
• Midline: The arithmetic average of the upper and lower bands: (upperBand + lowerBand) / 2.
Why Scaling? Without scaling, the bands would be chaotic and jagged, making them difficult to interpret. Scaling smooths the bands, making them wider during periods of high volatility and narrower during consolidation, better reflecting potential support and resistance levels.
Indicator Features
• Dynamic Price Bands: The bands adapt to market conditions, facilitating the identification of key price levels.
• Multi-Timeframe RSI Table: Displays RSI values for four selected timeframes (default: 15m, 1h, 4h, Daily), enabling comparison of trend strength across different perspectives.
• Style Customization: Users can adjust band colors, line thickness, and toggle the visibility of bands, fills, and the table.
How to Set Up the Indicator
1 — Add the "RSI Dynamic Bands" indicator to your TradingView chart.
2 — Configure parameters in the settings, such as RSI length, upper/lower levels, and scaling multiplier, to match your trading style.
3 — Enable or disable the display of bands, fills, or the RSI table based on your needs.
4 — Adjust band and table colors in the input section and line thickness in the "Style" section to better align the indicator with your chart.
█ OTHER SECTIONS
FEATURES
• RSI Length: The period for calculating RSI (default: 14).
• RSI Levels: Thresholds for overbought (default: 70) and oversold (default: 30).
• Scaling Multiplier: Adjusts bands based on market volatility (default: 0.15).
• Table Timeframes: Select four timeframes for the RSI table (default: 15m, 1h, 4h, Daily).
• Style Options: Customize band colors, fills, table, and line thickness.
HOW TO USE
Add the indicator to your chart, configure the parameters, and observe price interactions with the bands to identify potential entry and exit points. The RSI table allows you to compare RSI values across different timeframes, aiding in trading decisions. The most effective approach is to combine the indicator with other technical analysis tools, such as Fibonacci levels or pivot points, to confirm signals when the price approaches the bands and RSI values indicate a potential reversal.
Trading Strategies:
• Scalping: Use lower timeframes (e.g., 5m, 15m) in the RSI table to quickly identify short-term lows and highs. Wait for the price to approach the lower band in the RSI oversold zone, with RSI on lower timeframes starting to rise, and other tools, such as Fibonacci levels (e.g., 38.2%) or pivot points, confirming support.
• Medium-Term Trading: Focus on 1h and 4h timeframes. Look for confirmation of a low on a lower timeframe (e.g., 1h), where RSI indicates oversold conditions or starts rising, then check if RSI on a higher timeframe (e.g., 4h) confirms the trend. Confirmation from other tools, such as a Fibonacci level (e.g., 50%) or pivot point near the bands, strengthens the signal.
• Long-Term Trading: Use Daily and higher timeframes (e.g., Weekly). Wait for all relevant timeframes to confirm a low (e.g., RSI near oversold and price at the lower band), with lower timeframes (e.g., 4h) showing rising RSI. Other tools, such as Fibonacci levels (e.g., 61.8%) or pivot points near the bands, can further confirm a trend reversal signal.
Screener based on Profitunity strategy for multiple timeframes
Screener based on Profitunity strategy by Bill Williams for multiple timeframes (max 5, including chart timeframe) and customizable symbol list. The screener analyzes the Alligator and Awesome Oscillator indicators, Divergent bars and high volume bars.
The maximum allowed number of requests (symbols and timeframes) is limited to 40 requests, for example, for 10 symbols by 4 requests of different timeframes. Therefore, the indicator automatically limits the number of displayed symbols depending on the number of timeframes for each symbol, if there are more symbols than are displayed in the screener table, then the ordinal numbers are displayed to the left of the symbols, in this case you can display the next group of symbols by increasing the value by 1 in the "Show tickers from" field, if the "Group" field is enabled, or specify the symbol number by 1 more than the last symbol in the screener table. 👀 When timeframe filtering is applied, the screener table displays only the columns of those timeframes for which the filtering value is selected, which allows displaying more symbols.
For each timeframe, in the "TIMEFRAMES > Prev" field, you can enable the display of data for the previous bar relative to the last (current) one, if the market is open for the requested symbol. In the "TIMEFRAMES > Y" field, you can enable filtering depending on the location of the last five bars relative to the Alligator indicator lines, which are designated by special symbols in the screener table:
⬆️ — if the Alligator is open upwards (Lips > Teeth > Jaw) and none of the bars is closed below the Lips line;
↗️ — if one of the bars, except for the penultimate one, is closed below Lips, or two bars, except for the last one, are closed below Lips, or the Alligator is open upwards only below four bars, but none of the bars is closed below Lips;
⬇️ — if the Alligator is open downwards (Lips < Teeth < Jaw), but none of the bars is closed above Lips;
↘️ — if one of the bars, except the penultimate one, is closed above the Lips, or two bars, except the last one, are closed above the Lips, or the Alligator is open down only above four bars, but none of the bars are closed above the Lips;
➡️ — in other cases, including when the Alligator lines intersect and one of the bars is closed behind the Lips line or two bars intersect one of the Alligator lines.
In the "TIMEFRAMES > Show bar change value for TF" field, you can add a column to the right of the selected timeframe column with the percentage change between the closing price of the last bar (current) and the closing price of the previous bar ((close – previous close) / previous close * 100). Depending on the percentage value, the background color of the screener table cell will change: dark red if <= -3%; red if <= -2%, light red if <= -0.5%; dark green if >= 3%; green if >= 2%; light green if >= 0.5%.
For each timeframe, the screener table displays the symbol of the latest (current) bar, depending on the closing price relative to the bar's midpoint ((high + low) / 2) and its location relative to the Alligator indicator lines: ⎾ — the bar's closing price is above its midpoint; ⎿ — the bar's closing price is below its midpoint; ├ — the bar's closing price is equal to its midpoint; 🟢 — Bullish Divergent bar, i.e. the bar's closing price is above its midpoint, the bar's high is below all Alligator lines, the bar's low is below the previous bar's low; 🔴 — Bearish Divergent bar, i.e. the bar's closing price is below its midpoint, the bar's low is above all Alligator lines, the bar's high is above the previous bar's high. When filtering is enabled in the "TIMEFRAMES > Filtering by Divergent bar" field, the data in the screener table cells will be displayed only for those timeframes that have a Divergent bar. A high bar volume signal is also displayed — 📶/📶² if the bar volume is greater than 40%/70% of the average volume value calculated using a simple moving average (SMA) in the 140 bar interval from the last bar.
In the indicator settings in the "SYMBOL LIST" field, each ticker (for example: OANDA:SPX500USD) must be on a separate line. If the market is closed, then the data for requested symbols will be limited to the time of the last (current) bar on the chart, for example, if the current symbol was traded yesterday, and the requested symbol is traded today, when requesting data for an hourly timeframe, the last bar will be for yesterday, if the timeframe of the current chart is not higher than 1 day. Therefore, by default, a warning will be displayed on the chart instead of the screener table that if the market is open, you must wait for the screener to load (after the first price change on the current chart), or if the highest timeframe in the screener is 1 day, you will be prompted to change the timeframe on the current chart to 1 week, if the screener requests data for the timeframe of 1 week, you will be prompted to change the timeframe on the current chart to 1 month, or switch to another symbol on the current chart for which the market is open (for example: BINANCE:BTCUSDT), or disable the warning in the field "SYMBOL LIST > Do not display screener if market is close".
The number of the last columns with the color of the AO indicator that will be displayed in the screener table for each timeframe is specified in the indicator settings in the "AWESOME OSCILLATOR > Number of columns" field.
For each timeframe, the direction of the trend between the price of the highest and lowest bars in the specified range of bars from the last bar is displayed — ↑ if the trend is up (the highest bar is to the right of the lowest), or ↓ if the trend is down (the lowest bar is to the right of the highest). If there is a divergence on the AO indicator in the specified interval, the symbol ∇ is also displayed. The average volume value is also calculated in the specified interval using a simple moving average (SMA). The number of bars is set in the indicator settings in the "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count" field.
In the indicator settings in the "STYLE" field you can change the position of the screener table relative to the chart window, the background color, the color and size of the text.
***
Скринер на основе стратегии Profitunity Билла Вильямса для нескольких таймфреймов (максимум 5, включая таймфрейм графика) и настраиваемого списка символов. Скринер анализирует индикаторы Alligator и Awesome Oscillator, Дивергентные бары и бары с высоким объемом.
Максимально допустимое количество запросов (символы и таймфреймы) ограничено 40 запросами, например, для 10 символов по 4 запроса разных таймфреймов. Поэтому в индикаторе автоматически ограничивается количество отображаемых символов в зависимости от количества таймфреймов для каждого символа, если символов больше чем отображено в таблице скринера, то слева от символов отображаются порядковые номера, в таком случае можно отобразить следующую группу символов, увеличив значение на 1 в настройках индикатора поле "Show tickers from", если включено поле "Group", или указать номер символа на 1 больше, чем последний символ в таблице скринера. 👀 Когда применяется фильтрация по таймфрейму, в таблице скринера отображаются только столбцы тех таймфреймов, для которых выбрано значение фильтрации, что позволяет отображать большее количество символов.
Для каждого таймфрейма в настройках индикатора в поле "TIMEFRAMES > Prev" можно включить отображение данных для предыдущего бара относительно последнего (текущего), если для запрашиваемого символа рынок открыт. В поле "TIMEFRAMES > Y" можно включить фильтрацию, в зависимости от расположения последних пяти баров относительно линий индикатора Alligator, которые обозначаются специальными символами в таблице скринера:
⬆️ — если Alligator открыт вверх (Lips > Teeth > Jaw) и ни один из баров не закрыт ниже линии Lips;
↗️ — если один из баров, кроме предпоследнего, закрыт ниже Lips, или два бара, кроме последнего, закрыты ниже Lips, или Alligator открыт вверх только ниже четырех баров, но ни один из баров не закрыт ниже Lips;
⬇️ — если Alligator открыт вниз (Lips < Teeth < Jaw), но ни один из баров не закрыт выше Lips;
↘️ — если один из баров, кроме предпоследнего, закрыт выше Lips, или два бара, кроме последнего, закрыты выше Lips, или Alligator открыт вниз только выше четырех баров, но ни один из баров не закрыт выше Lips;
➡️ — в остальных случаях, в то числе когда линии Alligator пересекаются и один из баров закрыт за линией Lips или два бара пересекают одну из линий Alligator.
В поле "TIMEFRAMES > Show bar change value for TF" можно добавить справа от выбранного столбца таймфрейма столбец с процентным изменением между ценой закрытия последнего бара (текущего) и ценой закрытия предыдущего бара ((close – previous close) / previous close * 100). В зависимости от величины процента будет меняться цвет фона ячейки таблицы скринера: темно-красный, если <= -3%; красный, если <= -2%, светло-красный, если <= -0.5%; темно-зеленый, если >= 3%; зеленый, если >= 2%; светло-зеленый, если >= 0.5%.
Для каждого таймфрейма в таблице скринера отображается символ последнего (текущего) бара, в зависимости от цены закрытия относительно середины бара ((high + low) / 2) и расположения относительно линий индикатора Alligator: ⎾ — цена закрытия бара выше его середины; ⎿ — цена закрытия бара ниже его середины; ├ — цена закрытия бара равна его середине; 🟢 — Бычий Дивергентный бар, т.е. цена закрытия бара выше его середины, максимум бара ниже всех линий Alligator, минимум бара ниже минимума предыдущего бара; 🔴 — Медвежий Дивергентный бар, т.е. цена закрытия бара ниже его середины, минимум бара выше всех линий Alligator, максимум бара выше максимума предыдущего бара. При включении фильтрации в поле "TIMEFRAMES > Filtering by Divergent bar" данные в ячейках таблицы скринера будут отображаться только для тех таймфреймов, где есть Дивергентный бар. Также отображается сигнал высокого объема бара — 📶/📶², если объем бара больше чем на 40%/70% среднего значения объема, рассчитанного с помощью простой скользящей средней (SMA) в интервале 140 баров от последнего бара.
В настройках индикатора в поле "SYMBOL LIST" каждый тикер (например: OANDA:SPX500USD) должен быть на отдельной строке. Если рынок закрыт, то данные для запрашиваемых символов будут ограничены временем последнего (текущего) бара на графике, например, если текущий символ торговался последний день вчера, а запрашиваемый символ торгуется сегодня, при запросе данных для часового таймфрейма, последний бар будет за вчерашний день, если таймфрейм текущего графика не выше 1 дня. Поэтому по умолчанию на графике будет отображаться предупреждение вместо таблицы скринера о том, что если рынок открыт, то необходимо дождаться загрузки скринера (после первого изменения цены на текущем графике), или если в скринере самый высокий таймфрейм 1 день, то будет предложено изменить на текущем графике таймфрейм на 1 неделю, если в скринере запрашиваются данные для таймфрейма 1 неделя, то будет предложено изменить на текущем графике таймфрейм на 1 месяц, или же переключиться на другой символ на текущем графике, для которого рынок открыт (например: BINANCE:BTCUSDT), или отключить предупреждение в поле "SYMBOL LIST > Do not display screener if market is close".
Количество последних столбцов с цветом индикатора AO, которые будут отображены в таблице скринера для каждого таймфрейма, указывается в настройках индикатора в поле "AWESOME OSCILLATOR > Number of columns".
Для каждого таймфрейма отображается направление тренда между ценой самого высокого и самого низкого баров в указанном интервале баров от последнего бара — ↑, если тренд направлен вверх (самый высокий бар справа от самого низкого), или ↓, если тренд направлен вниз (самый низкий бар справа от самого высокого). Если есть дивергенция на индикаторе AO в указанном интервале, то также отображается символ — ∇. В указанном интервале также рассчитывается среднее значение объема с помощью простой скользящей средней (SMA). Количество баров устанавливается в настройках индикатора в поле "INTERVAL FOR HIGHEST AND LOWEST BARS > Bars count".
В настройках индикатора в поле "STYLE" можно изменить положение таблицы скринера относительно окна графика, цвет фона, цвет и размер текста.
Indicator: Profitability by Day & Hour (stacked, non-overlay)What it does
This tool performs a simple seasonality study on the selected symbol. It measures historical returns and summarizes them in two horizontal heatmaps:
Hours table (top) — Columns 00–23 show the average return of each clock hour, plus sample size, win rate, volatility (SD), and a t-score.
Days table (middle) — Columns 1–7 correspond to Mon–Sun with the same metrics.
Summary (bottom) — Shows the most profitable day and hour in the history loaded on your chart.
Green cells indicate higher average returns; red cells indicate lower/negative averages. The layout is centered on the screen, with the hours table above the days table for quick scanning.
How it works (methodology)
Returns: by default the indicator uses log returns ln(Ct/Ct-1) (you can switch to simple % if you prefer).
Daily aggregation (no look-ahead): day statistics are computed from completed daily closes via a higher timeframe request. Yesterday’s daily close vs. the prior day is added to the appropriate weekday bucket, preventing repaint/forward bias.
Hourly aggregation (intraday only): hour statistics are computed bar-to-bar on the current intraday timeframe and accumulated by clock hour (00–23) of the symbol’s exchange timezone.
Metrics per bucket:
Mean: average return in that bucket.
n: number of observations.
Win%: share of positive returns.
SD: standard deviation of returns (volatility proxy).
t-score: mean / SD * sqrt(n) — a quick stability signal (not a hypothesis test).
The indicator does not rely on future data and does not repaint past values.
Reading the tables
Start with the Mean row in each table: it’s color-mapped (red → yellow → green).
Check n (sample size). A bright green cell with very low n is less meaningful than a mild green cell with large n.
Use Win% and SD to judge consistency and noise.
t-score is a compact “signal-to-noise × sample size” measure; higher absolute values suggest more stable effects.
Typical observations traders look for (purely illustrative): for some equity indices, the first hour after the cash open can dominate; for FX/crypto, certain late-US or early-Asia hours sometimes stand out. Always verify on your symbol and timeframe.
