ZenAlgo - Crypto TrendThe ZenAlgo - Crypto Trend indicator is a unique tool for analyzing cryptocurrency market trends, combining data from multiple sources such as BTC , ETH , market caps, dominance metrics, and the DXY index . Unlike standalone indicators, it integrates these data points to deliver actionable insights on macro and micro market movements, helping traders better navigate complex market conditions.
Features
Multi-Asset Trend Analysis: Monitors trends across BTC , ETH , USDT dominance , DXY , SOL , ETHBTC and total market caps ( TOTAL , TOTAL2 , TOTAL3 ), providing a holistic market view.
Dynamic Labels: Real-time market conditions are summarized with labels such as "FIRE SELL," "BTC UP," or "ALT PUMP" for instant clarity.
Customizable Display: Options for dark mode, text size, and table position allow traders to personalize their experience.
Market Sentiment Table: Summarizes trends and percentage changes for multiple assets in a structured, easy-to-read table.
Composite Signals: Identifies unique states like "Mega Boost" or "Outflow" by analyzing the interplay of market trends.
Enhanced Heikin Ashi Analysis: Applies Heikin Ashi trends in a broader context, combining them with other metrics to overcome standalone limitations.
ZenAlgo Theme: A visually distinct and professional theme for enhanced usability.
Added Value: Why Is This Indicator Original/Why Shall You Pay for This Indicator?
The ZenAlgo - Crypto Trend indicator transcends the limitations of free tools in several ways:
Integrated Insights: While Heikin Ashi is freely available, this indicator applies it in tandem with market dominance, total market caps, and macroeconomic indicators like the DXY . This integration creates composite signals (e.g., "Mega Boost," "Defi Mega Boost") that standalone Heikin Ashi cannot provide.
Advanced Contextualization: Free Heikin Ashi indicators lack contextual data about dominance shifts, altcoin performance, and macroeconomic trends. Our indicator integrates these elements to give a broader market perspective.
Time-Saving: Instead of switching between multiple indicators, ZenAlgo - Crypto Trend combines them in one cohesive tool, offering a comprehensive market overview in a single glance.
Custom Features: Unlike generic Heikin Ashi indicators, this tool includes dynamic labels and a market sentiment table that summarize trends and provide immediate insights.
How It Works
1. Heikin Ashi Trend Detection
Calculates smoothed Heikin Ashi trends for BTC , ETH , USDT dominance , DXY , and total market caps ( TOTAL , TOTAL2 , TOTAL3 ).
Functionality: Heikin Ashi values are derived from the weighted average of open, high, low, and close prices. The "open" averages the previous bar's open and close, while the "close" averages the current bar's open, high, low, and close. A trend is assigned as Up (+1) or Down (-1) based on whether the close exceeds the open.
2. Market Metrics Analysis
Tracks daily percentage changes and trends for key metrics like BTC dominance and total market caps.
Outputs: Displays trends (Up/Down) and percentage changes for each asset, helping assess market strength and sentiment.
3. Composite Signal Generation
Combines individual asset trends to define broader market states such as "Mega Boost" or "Outflow."
Logic: Signals are triggered by predefined conditions, e.g., "Mega Boost" occurs when DXY trends down, market caps ( TOTAL , TOTAL2 , TOTAL3 ) trend up, and BTC dominance trends down.
4. Dynamic Labels and Sentiment Table
Displays real-time labels (e.g., "FIRE SELL," "BTC + ALT PUMP") directly on the chart for actionable insights.
A market sentiment table summarizes trends and percentage changes, with customizable display options (position, text size, theme).
Usage Examples
Spotting Bullish Momentum: Use "BTC + ALT PUMP" signals to identify synchronized bullish trends in BTC and altcoins.
Avoiding Bearish Trends: React to "CRYPTO DOWN" or "FIRE SELL" signals to minimize exposure during downturns.
Evaluating Altcoin Opportunities: Identify "ALT PUMP" or "ALTS DUMP" signals to time entries and exits in altcoin markets.
Tracking Dominance Shifts: Monitor "BTC.D UP" or "BTC.D DOWN" trends to assess shifts in market dominance between BTC and altcoins.
Macro Market Awareness: Use "Mega Boost" or "Mega Outflow" states to align with macroeconomic trends, such as dollar strength or weakness.
Seasonal Trends: Observe "ETH PUMP" or "BTC DOWN + ALT PUMP" states to understand specific altcoin or BTC-led market cycles.
Settings
ZenAlgo Theme: Enable a custom ZenAlgo visual style for improved clarity.
Table Text Size: Adjust text size (options: tiny, small, normal, large, huge) for better visibility.
Dark Mode: Toggle dark mode for improved viewing in low-light environments.
Table Position: Choose table placement (e.g., Top Left, Bottom Center) based on your preferences.
Important Notes
Synthetic and Lagging Nature of Heikin Ashi: Heikin Ashi values are synthetic and inherently lagging. They provide smoothed trends but do not represent precise entry or exit points. This indicator does not produce buy or sell signals.
Limitations in Low-Volume Markets: The indicator may underperform in low-liquidity markets or during periods of high volatility, where data discrepancies can distort trends.
Trend Reversals in Choppy Markets: In sideways or choppy markets, the composite signals may lag behind sudden reversals, potentially resulting in delayed recognition of trend changes.
False Positives During Macro News Events: Abrupt macroeconomic news or policy changes can cause the indicator to emit signals (e.g., "Mega Boost") that may not align with sustained market movements.
Dominance Metrics Sensitivity: Heavy reliance on BTC.D or TOTAL3 can sometimes result in misleading insights when these metrics are influenced by atypical events, such as large-scale liquidations or isolated token movements.
Use in Conjunction with Other Tools: While powerful, this indicator should be combined with other technical and fundamental analysis tools for a comprehensive trading strategy.
No Guaranteed Results: Trading involves risk. This tool is designed to support decision-making, not to guarantee trading success.
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Uptrick: Oracle Metrics +
Introduction
Uptrick: Oracle Metrics + is a multi-dimensional trading indicator designed to consolidate various technical and risk-oriented signals into one accessible framework. It allows traders to observe market volatility, identify potential reversal points, and assess numerous performance metrics, all within a single interface.
Purpose
The main goal of this indicator is to simplify a broad array of market insights. It merges trend analysis, volatility indicators, on-chart signals, and risk-performance metrics to help traders quickly evaluate the state of a market and make more informed decisions.
Features
1. Cloud Visualization
A colored cloud overlays the chart, indicating market conditions. When the cloud narrows, it can signal upcoming breakout scenarios, as volatility compresses and price movement may accelerate. In contrast, when the cloud is wide, this could hint at an extended trend that might be nearing a pullback or retracement. Observing shifts between narrow and wide phases helps anticipate shifts in momentum.
This can be seen here:
Simple Cloud Overlay
You can also use the cloud like this: when it turns purple you sell when it turns aqua color you buy. These signals are not very accurate in ranging markets but therefore they are usually better on almost all timeframes and assets in trending markets. :
Bounces of cloud. The cloud can also be used as a type of support/resistance. In the example below you can see how the trend bounces off of the cloud. For example, you could add up to your position every time it touches the cloud and then you could fully exit when the cloud turns purple or the trend breaks below the cloud:
An example of a way you could use this indicator as a confirmation is here. In the image below, a fake signal is generated, you can eliminate this signal by waiting for the cloud to turn purple in order to have confirmation for a potential downward move:
2. Bar Coloring for Volatility and System States
Traders can choose between two bar-coloring methods:
• Volatility: Bars change color intensity based on the level of current volatility relative to a historical average. This helps in spotting abrupt changes in market behavior, where bars become more pronounced when volatility is higher. You can see the volatility information in the volatility table.
• System Score: Bars receive a color gradient determined by the indicator’s final overall score. This simplifies spotting bullish, bearish, or neutral phases without needing to inspect multiple metrics separately. The closer the final score is to zero the less the color difference between bullish and bearish is.
3. Reversion Signals and Potential Reversal Alerts
Two sets of on-chart markers help in spotting sudden shifts in momentum:
• Reversion Signals marked with the letter R: These signals combine RSI thresholds, stochastic crossovers, and EMA confirmation to identify potential reversals. RSI highlights overbought (above 70) or oversold (below 30) conditions, while stochastic crossovers confirm shifts in momentum. The EMA ensures signals align with the broader trend, reducing false positives in volatile markets. Together, these components provide a reliable way to spot potential market corrections or reversals.
• Potential Reversal Signals marked with small circles: These signals detect subtle shifts in momentum using a smoothed RSI (via TEMA) and changes in its slope. When the slope turns positive or negative near key levels, it highlights early-stage reversals. This approach helps traders identify timely entry or exit opportunities by capturing potential trend changes before they fully develop.
4. Main Metrics Table
A primary dashboard shows detailed performance measures and market analytics. Next to each value, there is a bullish or bearish arrow to hint at the current direction of that metric. The table includes the following:
• Sharpe Ratio: Offers a view of risk-adjusted returns, hinting at whether rewards outweigh the variability in price.
• Sortino Ratio: A variation of risk-adjusted return focusing more on downside risk.
• Treynor Ratio: Displays returns relative to systematic risk, referencing a user-provided beta.
• Information Ratio: Shows how the instrument is outperforming or underperforming a benchmark, scaled by tracking error.
• ROC: Rate of change in price over a specified period, reflecting momentum.
• MACD Histogram: The difference between fast and slow moving average convergence, illustrating momentum shifts.
• CMF: Chaikin Money Flow, evaluating buying or selling pressure by combining price and volume.
• Ulcer Index: A measure of drawdown intensity to gauge how severe downtrends or pullbacks have been.
• Amihud Ratio: Assesses illiquidity by comparing price impact to volume.
• Market Depth Ratio: Looks at price ranges relative to volume activity, indicating how deeply the market can absorb trades.
• S2F Ratio: Incorporates the asset’s circulating supply relative to its yearly production, sometimes referenced in markets with a defined issuance schedule.
• NVT Ratio: A network value to transactions ratio, typically applied to on-chain data.
• MVRV Ratio: Compares the asset’s market value with its realized value, highlighting overall valuation conditions.
• Autocorrelation: Shows how current price movement may be echoing previous price changes.
• Alpha: Measures excess return over what might be expected from a risk-free rate plus systematic market exposure.
• Skewness: Reveals the asymmetry of the return distribution.
• Kurtosis: Looks at whether returns have heavier or lighter tails than typical distributions.
• Max Drawdown: The largest peak-to-trough drop within a lookback window, a key measure of downside risk.
• Calmar Ratio: Evaluates returns in light of drawdowns, relating performance to the severity of pullbacks.
• Omega Ratio: Considers gains versus losses around a threshold return level to measure reward-to-risk balance.
• January Performance: A snapshot of how price behaves in January over a lookback, connected to the idea of seasonality.
• Bid-Ask Spread: Reflects the percentage difference between highest and lowest price in a period, hinting at market liquidity costs.
5. Final Score Table
After analyzing individual metrics, the indicator calculates an overall score that determines if the broader environment appears bullish, bearish, or neutral. This final score then influences optional color schemes across the chart, allowing traders to see at a glance how multiple data points combine into one stance. For those who prefer a visual “gauge,” an additional grid table can be enabled, where boxes fill with varying color intensities based on the current score. The score calculation is complex and uses a similar technique to TPI. It assigns values to each metric and then divides the score by the amount of metrics. The score is then visualized in the System Generation bar coloring option according to how intense the signal is.
Grids (visualization of how much more the score needs to be a full signal.):
6. Volatility Table
A separate table focuses on how current volatility compares with an average measure. When current volatility differs significantly from historical norms, the bars become more vividly colored. If volatility nears its average, the bars are more subdued. This helps traders know when to be cautious of sudden moves or to adapt their position sizing.
Indicator Inputs
Users can tailor numerous inputs to suit the nature of each instrument:
• Risk-Free Rate (annualized rate used for risk calculations)
• Benchmark Return (expected return of the market benchmark)
• Beta (measure of systematic risk, particularly for Treynor Ratio calculations)
• Lookback Period (window of time used for many rolling calculations)
• ROC Period (time span for the rate of change calculation)
• CMF Period (window for the Chaikin Money Flow measure)
• Ulcer Index Period (depth for the Ulcer Index reading)
• Amihud Illiquidity Period (period for measuring price impact relative to volume)
• Market Depth Ratio Period (time range for examining price breadth versus volume)
• Circulating Supply (used for the stock-to-flow calculation)
• Yearly Production (helps update the stock-to-flow ratio)
• Market Cap (overall value of the instrument, often used in ratio metrics)
• Transaction Volume (on-chain or traded volume data for NVT ratio)
• Realized Value (alternative valuation data, used in MVRV calculation)
• Threshold Return for Omega (sets a custom threshold above which returns are considered favorable)
• Bar Coloring Method (choose between volatility-based or final-score-based color themes)
• Table Text Size (adjust the display size of table entries)
• Additional parameters related to internal signals (like RSI lengths or smoothing settings) can be fine-tuned for different market behaviors. It is important to customize these fields according to the characteristics of the specific asset you are trading.
Important!
Adjust the inputs according to your current asset! The inputs under the 'Vital' section have to be adjusted so that the metrics function properly. If not well adjusted to your asset, your final score will be mixed up and System Bar coloring as well! These inputs include: Circulating Supply, Yearly Production, Market Cap, Transaction Volume, and Realized Value!
Originality and Uniqueness
Uptrick: Oracle Metrics + stands out by combining complex metrics, including calculations similar to the Trend Probability Indicator (TPI), to provide a deeper analysis of market conditions. The indicator offers multiple signals tailored to different trading scenarios, allowing users to filter and customize them manually through a variety of features. This flexibility, combined with its advanced risk and trend analysis tools, makes it a versatile solution for both momentum and long-term trading strategies.
Warnings
In some scenarios, overlapping numbers or markers may crowd the chart. A practical fix for any visual overlap is removing the indicator and then reapplying it, which generally resets the tables and color overlays.
Summary
Uptrick: Oracle Metrics + merges cloud-based analytics, bar-coloring for volatility or system state, reversion alerts, and a detailed metrics dashboard into one seamless interface. This synergy of short-term signals and long-term performance metrics aims to give traders a fuller perspective on risk, trend changes, and valuation. By tuning the inputs to each asset, traders can capture more relevant data, while the color-coded approach simplifies quick decision-making in a dynamic market environment.
Disclaimer
The Uptrick: Oracle Metrics + indicator is a tool designed to assist traders in analyzing market conditions and making informed decisions. It is not a guarantee of future performance or a substitute for independent financial advice. Trading involves significant risk, and past results do not guarantee future outcomes. Users are advised to conduct their own research, consider their financial situation, and consult with a licensed financial professional if necessary. Uptrick and its affiliates are not responsible for any financial losses incurred while using this indicator. Use at your own discretion and risk.
Asset Correlation with XAU/USD (Macroeconomics X Gold)This Pine Script calculates the correlation of economic assets with gold (XAU/USD), including indicators such as the DXY, the S&P 500, the US 10-year yield (US10Y), oil (USOIL), the USD/JPY pair, and the AUD/USD pair. The goal is to analyze the impact of these variables on the price of gold, particularly in a macroeconomic context.
Main Features:
Asset Monitoring: The script monitors 24-hour variations of six key assets (DXY, S&P 500, US10Y, USOIL, USDJPY, AUDUSD), along with the price of XAU/USD.
Percentage Change Calculation: The percentage change for each asset is calculated based on the previous day's close, compared to the most recent 5-minute close.
Direction Determination: The direction of each asset (whether the change is positive, negative, or neutral) is calculated and used to determine the potential impact on the price of gold.
Interactive Tables: The results of directions, variations, and impacts are displayed in a table on the screen, with each asset being evaluated by its weight (influence on gold) and direction. The table also includes arrows indicating the impact of each asset on the price of gold, based on the correlation between them.
Dominance: The overall dominance of gold is calculated based on the weights and directions of the assets, generating a result that reflects whether gold is trending upwards or downwards due to the other observed assets. An arrow symbol indicates whether the dominance is positive (⬆️), negative (⬇️), or neutral (—).
Table Details:
The table displays the monitored assets, their assigned weights, the direction (arrows up, down, or neutral), the percentage change of each asset, and the impact of these assets on the price of gold.
The last column shows the "dominance" overall, with the final impact of these assets on the direction of the XAU/USD price.
Usage: This script is useful for traders and analysts who want to monitor how different macroeconomic factors (such as the value of the dollar, the S&P 500, US interest rates, oil prices, and currency pairs) influence the price of gold. It provides a clear view of how these assets correlate with gold, helping to make more informed decisions in the market.
For a better view of the table, right-click on >> visual order >> bring it to the top.
Asset Corr. with BTC/USD (Macroeconomics X BTC)This indicator provides a comprehensive analysis of the correlation between multiple assets (DXY, Gold, S&P 500, US10Y, and USDT Dominance) and their potential impact on the BTC/USD price. The script calculates the 24-hour percentage variation of these assets, determines their direction (bullish, bearish, or neutral), and displays this information in a table, helping traders assess how each asset is influencing BTC.
How the Script Works:
Asset Monitoring:
The script tracks the following assets:
DXY: The U.S. Dollar Index.
Gold (XAUUSD): The price of gold in U.S. dollars.
S&P 500 (SP500): A stock market index of U.S. companies.
US10Y: U.S. 10-year treasury yield.
USDT Dominance (USDT.D): The market dominance of USDT (Tether) in the crypto market.
Variation Calculation:
The script calculates the percentage variation for each asset over the last 24 hours using the close price of the previous day and the current close price on the 5-minute chart.
Based on the variation, the script determines the direction of each asset:
Bullish (1): Positive variation.
Bearish (-1): Negative variation.
Neutral (0): No significant change.
Impact Assessment:
The script uses weighted values for each asset to calculate its potential impact on BTC. The assets are given different weights:
DXY = 3
Gold = 2
S&P 500 = 2
US10Y = 3
USDT.D = 3
The direction and correlation of each asset are assessed to determine whether they are having a positive or negative impact on BTC. This impact is represented by arrows in the table.
Table Display:
The script displays a table on the chart, providing detailed information for each asset:
Asset: The name of the asset being analyzed.
Weight (Wgt): The assigned weight of the asset.
Direction (Dir): The current direction of the asset (up, down, or neutral).
24h Variation (Var %): The percentage change of the asset over the last 24 hours.
BTC Impact: The predicted impact of each asset on BTC, based on its direction and correlation.
Dominance Calculation:
A final "Dominance" score is calculated by summing the weighted values of each asset's direction and correlation with BTC.
This result is displayed in the table, providing a clear indication of whether the overall market sentiment is bullish or bearish for BTC.
How to Use the Script:
Add the Indicator: Apply the script to any chart with a 5-minute timeframe. The indicator works by analyzing the correlation of multiple assets with BTC, so it is best used for short-term traders looking to gauge BTC's price movement based on broader market trends.
Interpret the Table: The table shows the direction, variation, and impact of each asset on BTC. The "Dominance" row at the end of the table provides an overall sentiment score, helping traders understand whether the broader market is leaning bullish or bearish on BTC.
Monitor the Correlation: By tracking the assets with the highest weights and monitoring their influence on BTC, traders can make informed decisions on potential BTC price movements.
Key Concepts:
Asset Correlation: The script monitors multiple key assets that typically influence BTC's price, including the U.S. Dollar Index, Gold, S&P 500, US10Y, and USDT Dominance.
Impact Assessment: Uses weighted calculations to assess how each asset’s direction affects BTC.
Dominance Score: Provides a summary score of overall market sentiment, helping traders understand the broader influence on BTC.
Short-Term Trading: This tool is optimized for short-term traders who want to gauge market sentiment and its effect on BTC in real time.
For a better view of the table, right-click on >> visual order >> bring it to the top.
Average Up and Down Candles Streak with Predicted Next CandleThis indicator is designed to analyze price trends by examining the patterns of up and down streaks (consecutive bullish or bearish candles) over a defined period. It uses this data to provide insights on whether the next candle is likely to be bullish or bearish, and it visually displays relevant information on the chart.
Here’s a breakdown of what the indicator does:
1. Inputs and Parameters
Period (Candles): Defines the number of candles used to calculate the average length of bullish and bearish streaks. For example, if the period is set to 20, the indicator will analyze the past 20 candles to determine average up and down streak lengths.
Bullish/Bearish Bias Signal Toggle: These options allow users to show or hide visual signals (green or red circles) when there’s a bullish or bearish bias in the trend based on the indicator’s calculations.
2. Streak Calculation
The indicator looks at each candle within the period to identify if it closed up (bullish) or down (bearish).
Up Streak: The indicator counts consecutive bullish candles. When there’s a bearish candle, it resets the up streak count.
Down Streak: Similarly, it counts consecutive bearish candles and resets when a bullish candle appears.
Averages: Over the defined period, the indicator calculates the average length of up streaks and average length of down streaks. This provides a baseline to assess whether the current streak is typical or extended.
3. Current and Average Streak Display
The indicator displays the current up and down streak lengths alongside the average streak lengths for comparison. This data appears in a table on the chart, allowing you to see at a glance:
The current streak length (for both up and down trends)
The average streak length for up and down trends over the chosen period
4. Trend Prediction for the Next Candle
Next Candle Prediction: Based on the current streak and its comparison to the average, the indicator predicts the likely direction of the next candle:
Bullish: If the current up streak is shorter than the average up streak, suggesting that the bullish trend could continue.
Bearish: If the current down streak is shorter than the average down streak, indicating that the bearish trend may continue.
Neutral: If the current streak length is near the average, which could signal an upcoming reversal.
This prediction appears in a table on the chart, labeled as “Next Candle.”
5. Previous Candle Analysis
The Previous Candle entry in the table reflects the last completed candle (directly before the current candle) to show whether it was bullish, bearish, or neutral.
This data gives a reference point for recent price action and helps validate the next candle prediction.
6. Visual Signals and Reversal Zones
Bullish/Bearish Bias Signals: The indicator can plot green circles on bullish bias and red circles on bearish bias to highlight points where the trend is likely to continue.
Reversal Zones: If the current streak length reaches or exceeds the average, it suggests the trend may be overextended, indicating a potential reversal zone. The indicator highlights these zones with shaded backgrounds (green for possible bullish reversal, red for bearish) on the chart.
Summary of What You See on the Chart
Bullish and Bearish Bias Signals: Green or red circles mark areas of expected continuation in the trend.
Reversal Zones: Shaded areas in red or green suggest that the trend might be about to reverse.
Tables:
The Next Candle prediction table displays the trend direction of the previous candle and the likely trend of the next candle.
The Streak Information table shows the current up and down streak lengths, along with their averages for easy comparison.
Practical Use
This indicator is helpful for traders aiming to understand trend momentum and potential reversals based on historical patterns. It’s particularly useful for swing trading, where knowing the typical length of bullish or bearish trends can help in timing entries and exits.
OrderFlow [Adjustable] | FractalystWhat's the indicator's purpose and functionality?
This indicator is designed to assist traders in identifying real-time probabilities of buyside and sellside liquidity .
It allows for an adjustable pivot level , enabling traders to customize the level they want to use for their entries.
By doing so, traders can evaluate whether their chosen entry point would yield a positive expected value over a large sample size, optimizing their strategy for long-term profitability.
For advanced traders looking to enhance their analysis, the indicator supports the incorporation of up to 7 higher timeframe biases .
Additionally, the higher timeframe pivot level can be adjusted according to the trader's preferences,
Offering maximum adaptability to different strategies and needs, further helping to maximize positive EV.
EV=(P(Win)×R(Win))−(P(Loss)×R(Loss))
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What's the purpose of these levels? What are the underlying calculations?
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Pivot levels.
3. Identifying Discount and Premium Zones.
4. Importance of Risk-Reward in Premium and Discount Ranges
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How does the script calculate probabilities?
The script calculates the probability of each liquidity level individually. Here's the breakdown:
1. Upon the formation of a new range, the script waits for the price to reach and tap into pivot level level. Status: "⏸" - Inactive
2. Once pivot level is tapped into, the pivot status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
4. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
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What does the multi-timeframe functionality offer?
In the adjustable version of the orderflow indicator, you can incorporate up to 7 higher timeframe probabilities directly into the table.
This feature allows you to analyze the probabilities of buyside and sellside liquidity across multiple timeframes, without the need to manually switch between them.
By viewing these higher timeframe probabilities in one place, traders can spot larger market trends and refine their entries and exits with a better understanding of the overall market context.
This multi-timeframe functionality helps traders:
1. Simplify decision-making by offering a comprehensive view of multiple timeframes at once.
2. Identify confluence between timeframes, enhancing the confidence in trade setups.
3. Adapt strategies more effectively, as the higher timeframe pivot levels can be customized to meet individual preferences and goals.
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What are the multi-timeframe underlying calculations?
The script uses the same calculations (mentioned above) and uses security function to request the data such as price levels, bar time, probabilities and booleans from the user-input timeframe.
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How does the Indicator Identifies Positive Expected Values?
OrderFlow indicator instantly calculates whether a trade setup has the potential for positive expected value (EV) in the long run.
To determine a positive EV setup, the indicator uses the formula:
EV=(P(Win)×R(Win))−(P(Loss)×R(Loss))
where:
P(Win) is the probability of a winning trade.
R(Win) is the reward or return for a winning trade, determined by the current risk-to-reward ratio (RR).
P(Loss) is the probability of a losing trade.
R(Loss) is the loss incurred per losing trade, typically assumed to be -1.
By calculating these values based on historical data and the current trading setup, the indicator helps you understand whether your trade has a positive expected value over a large sample size.
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How can I know that the setup I'm going to trade with has a postive EV?
If the indicator detects that the adjusted pivot and buy/sell side probabilities have generated positive expected value (EV) in historical data, the risk-to-reward (RR) label within the range box will be colored blue and red .
If the setup does not produce positive EV, the RR label will appear gray.
This indicates that even the risk-to-reward ratio is greater than 1:1, the setup is not likely to yield a positive EV because, according to historical data, the number of losses outweighs the number of wins relative to the RR gain per winning trade.
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What is the confidence level in the indicator, and how is it determined?
The confidence level in the indicator reflects the reliability of the probabilities calculated based on historical data. It is determined by the sample size of the probabilities used in the calculations. A larger sample size generally increases the confidence level, indicating that the probabilities are more reliable and consistent with past performance.
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How does the confidence level affect the risk-to-reward (RR) label?
The confidence level (★) is visually represented alongside the probability label. A higher confidence level indicates that the probabilities used to determine the RR label are based on a larger and more reliable sample size.
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How can traders use the confidence level to make better trading decisions?
Traders can use the confidence level to gauge the reliability of the probabilities and expected value (EV) calculations provided by the indicator. A confidence level above 95% is considered statistically significant and indicates that the historical data supporting the probabilities is robust. This high confidence level suggests that the probabilities are reliable and that the indicator’s recommendations are more likely to be accurate.
In data science and statistics, a confidence level above 95% generally means that there is less than a 5% chance that the observed results are due to random variation. This threshold is widely accepted in research and industry as a marker of statistical significance. Studies such as those published in the Journal of Statistical Software and the American Statistical Association support this threshold, emphasizing that a confidence level above 95% provides a strong assurance of data reliability and validity.
Conversely, a confidence level below 95% indicates that the sample size may be insufficient and that the data might be less reliable . In such cases, traders should approach the indicator’s recommendations with caution and consider additional factors or further analysis before making trading decisions.
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How does the sample size affect the confidence level, and how does it relate to my TradingView plan?
The sample size for calculating the confidence level is directly influenced by the amount of historical data available on your charts. A larger sample size typically leads to more reliable probabilities and higher confidence levels.
Here’s how the TradingView plans affect your data access:
Essential Plan
The Essential Plan provides basic data access with a limited amount of historical data. This can lead to smaller sample sizes and lower confidence levels, which may weaken the robustness of your probability calculations. Suitable for casual traders who do not require extensive historical analysis.
Plus Plan
The Plus Plan offers more historical data than the Essential Plan, allowing for larger sample sizes and more accurate confidence levels. This enhancement improves the reliability of indicator calculations. This plan is ideal for more active traders looking to refine their strategies with better data.
Premium Plan
The Premium Plan grants access to extensive historical data, enabling the largest sample sizes and the highest confidence levels. This plan provides the most reliable data for accurate calculations, with up to 20,000 historical bars available for analysis. It is designed for serious traders who need comprehensive data for in-depth market analysis.
PRO+ Plans
The PRO+ Plans offer the most extensive historical data, allowing for the largest sample sizes and the highest confidence levels. These plans are tailored for professional traders who require advanced features and significant historical data to support their trading strategies effectively.
For many traders, the Premium Plan offers a good balance of affordability and sufficient sample size for accurate confidence levels.
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What is the HTF probability table and how does it work?
The HTF (Higher Time Frame) probability table is a feature that allows you to view buy and sellside probabilities and their status from timeframes higher than your current chart timeframe.
Here’s how it works:
Data Request : The table requests and retrieves data from user-defined higher timeframes (HTFs) that you select.
Probability Display: It displays the buy and sellside probabilities for each of these HTFs, providing insights into the likelihood of price movements based on higher timeframe data.
Detailed Tooltips: The table includes detailed tooltips for each timeframe, offering additional context and explanations to help you understand the data better.
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What do the different colors in the HTF probability table indicate?
The colors in the HTF probability table provide visual cues about the expected value (EV) of trading setups based on higher timeframe probabilities:
Blue: Suggests that entering a long position from the HTF user-defined pivot point, targeting buyside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size.
Red: Indicates that entering a short position from the HTF user-defined pivot point, targeting sellside liquidity, is likely to result in a positive expected value (EV) based on historical data and sample size.
Gray: Shows that neither long nor short trades from the HTF user-defined pivot point are expected to generate positive EV, suggesting that trading these setups may not be favorable.
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How to use the indicator effectively?
For Amateur Traders:
Start Simple: Begin by focusing on one timeframe at a time with the pivot level set to the default (50%). This helps you understand the basic functionality of the indicator.
Entry and Exit Strategy: Focus on entering trades at the pivot level while targeting the higher probability side for take profit and the lower probability side for stop loss.
Use simulation or paper trading to practice this strategy.
Adjustments: Once you have a solid understanding of how the indicator works, you can start adjusting the pivot level to other values that suit your strategy.
Ensure that the RR labels are colored (blue or red) to indicate positive EV setups before executing trades.
For Advanced Traders:
1. Select Higher Timeframe Bias: Choose a higher timeframe (HTF) as your main bias. Start with the default pivot level and ensure the confidence level is above 95% to validate the probabilities.
2. Align Lower Timeframes: Switch between lower timeframes to identify which ones align with your predefined HTF bias. This helps in synchronizing your trading decisions across different timeframes.
3. Set Entries with Current Pivot Level: Use the current pivot level for trade entries. Ensure the HTF status label is active, indicating that the probabilities are valid and in play.
4. Target HTF Liquidity Level: Aim for liquidity levels that correspond to the higher timeframe, as these levels are likely to offer better trading opportunities.
5. Adjust Pivot Levels: As you gain experience, adjust the pivot levels to further optimize your strategy for high EV. Fine-tune these levels based on the aggregated data from multiple timeframes.
6. Practice on Paper Trading: Test your strategies through paper trading to eliminate discretion and refine your approach without financial risk.
7. Focus on Trade Management: Ultimately, effective trade management is crucial. Concentrate on managing your trades well to ensure long-term success. By aiming for setups that produce positive EV, you can position yourself similarly to how a casino operates.
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🎲 Becoming the House (Gaining Edge Over the Market):
In American roulette, the house has a 5.26% edge due to the 0 and 00. This means that while players have a 47.37% chance of winning on even-money bets, the true odds are 50%. The discrepancy between the true odds and the payout ensures that, statistically, the casino will win over time.
From the Trader's Perspective: In trading, you gain an edge by focusing on setups with positive expected value (EV). If you have a 55.48% chance of winning with a 1:1 risk-to-reward ratio, your setup has a higher probability of profitability than the losing side. By consistently targeting such setups and managing your trades effectively, you create a statistical advantage, similar to the casino’s edge.
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🎰 Applying the Concept to Trading:
Just as casinos rely on their mathematical edge, you can achieve long-term success in trading by focusing on setups with positive EV. By ensuring that your probabilities and risk-to-reward (RR) ratios are in your favor, you create an edge similar to that of the house.
And by systematically targeting trades with favorable probabilities and managing your trades effectively, you improve your chances of profitability over the long run. Which is going to help you “become the house” in your trading, leveraging statistical advantages to enhance your overall performance.
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What makes this indicator original?
Real-Time Probability Calculations: The indicator provides real-time calculations of buy and sell probabilities based on historical data, allowing traders to assess the likelihood of positive expected value (EV) setups instantly.
Adjustable Pivot Levels: It features an adjustable pivot level that traders can modify according to their preferences, enhancing the flexibility to align with different trading strategies.
Multi-Timeframe Integration: The indicator supports up to 7 higher timeframes, displaying their probabilities and biases in a single view, which helps traders make informed decisions without switching timeframes.
Confidence Levels: It includes confidence levels based on sample sizes, offering insights into the reliability of the probabilities. Traders can gauge the strength of the data before making trades.
Dynamic EV Labels: The indicator provides color-coded EV labels that change based on the validity of the setup. Blue indicates positive EV in a long bias, red indicates positive EV in a short bias and gray signals caution, making it easier for traders to identify high-quality setups.
HTF Probability Table: The HTF probability table displays buy and sell probabilities from user-defined higher timeframes, helping traders integrate broader market context into their decision-making process.
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Terms and Conditions | Disclaimer
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.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Sessions [TradingFinder] New York, London, Tokyo & Sydney ForexTiming is one of the influential factors in a trader's position. This indicator categorizes transactions into three sessions (Asia, Europe, and America). Five significant trading cities (New York, London, Frankfurt, Tokyo, and Sydney) are selectable.
I recommend using the tool on a 5-minute time frame, but it is usable on all time frames.
Settings:
• Trading sessions: Display or hide each trading session as needed.
• Color: Change the color of each box.
• Session time intervals: The default is based on the main working hours for each time interval and can be adjusted.
• Information table: Delete or display additional information table.
Information Table:
• Trading sessions
• Opening and closing times of each trading session
How to Use:
Initiating trading sessions involves entering with increased liquidity, and the market usually experiences significant movements. Many trading strategies are based on "time" and "session openings." This tool empowers traders to focus intensely on each time interval.
These trading sessions are crucial for all Forex, stock, and index traders:
The total price ceiling and floor in the Asia session (Tokyo and Sydney) are crucial for traders in the European session.
The European session starts with Frankfurt, and an hour later, London begins, collectively forming the European session.
The dashboard provides additional information, displaying hours based on UTC.
Customization options are considered in all sections so that everyone can apply their own settings.
Important: Default times are the most accurate for each region, and in most indicators, this time is not correctly selected. Therefore, the level of influence and time intervals are specified at the beginning of each session. If you are using another indicator, match its default time to the announced time and share the results with me in the comments.
YinYang MomentumOverview:
YinYang Momentum is a Price, Volume and Momentum Oscillator. Its job is to help you see swings in momentum and the strength of it. It also creates signals (Blood Diamond (Bear) and Support Cross (Bull)) where these momentum swings may occur. YinYang Momentum features 3 Price and 3 Volume 'Mountains with Ice'. There are Predictive, Regular and Confirming Mountains. You have the ability to overlay them on top of each other which helps to decipher momentum swings. The Volume Mountains are very important for showing the strength behind the Price Mountains and their Signals. If you look, you'll notice, as the 'Ice' starts to curve into the 'Mountains' it signals a potential shift in Momentum. The green Mountain is the Predictive, the Blue is the Regular and the Purple is the Confirming. You'll also notice that the Predictive Mountains movements happen first and move much more drastically. When you notice the regular starts to follow suit, there is a potential for a momentum shift. Shortly after, a signal will occur if this shift is actually happening. You can also check the Confirming Mountain for more confirmation (however, leaving the Confirming Mountain active can be a little confusing and make it harder to read signals). YinYang Momentum also features Information Tables. These tables display how the Blood Diamonds and Support Cross' are fairing on different Timeframes. This way, you'll be able to see if it's in a Bullish or Bearish state on critical Time Frames no matter what Timeframe you're trading on.
Before we move onto the tutorial, let's discuss what each of these Mountains and Ice are and how they work. All of our Mountains and Ice are calculated using the same algorithm but with varying sources, lengths and multipliers. We are essentially calculating differences in movement and then sending those differences into an EMA for the Mountain Base and SMA for the mountain Ice. The values we use for the Predictive are much lower and therefore occur much quicker as they aren’t averaged out on longer lengths/time frames; this helps to make it more of a leading Indicator which may predict momentum changes. Our Regular is over a medium length and multipliers that result in a smooth but generally also gradual movement that helps reliability; this helps it act as more of an ‘in the now’ Indication of momentum changes. Our Confirming uses lengths and multipliers that are of a higher value and longer span; this makes it more difficult to use for determining entry / exit locations as it's more of a lagging indicator, but it helps to add confirmation as to whether the momentum change has occurred and wasn't a false signal.
Tutorial:
YinYang Momentum may look like a lot is going on.. And well that’s cause there is.. But that doesn’t mean it's confusing or hard to read once you know what you’re looking for!
To make this tutorial a little easier to understand, let's turn off a few settings and dissect this indicator one thing at a time. YinYang Momentum features Price and Volume mountains. Currently in the photo above we have 2 Price Mountains and 1 Volume Mountain turned on (this is how it's set by default and how we recommend using it), however there are 3 Mountains available for both Price and Volume:
Predictive
Regular
Confirming
We are going to deactivate everything so it's the Regular Price Mountain + Ice enabled.
Now that it is just the Regular Price Mountain and Ice it is much easier to teach and understand. As you can see there are two different colors on the mountain. The dark blue is the Mountain and the light blue is the Ice.
The Ice moves before the mountain does and when the momentum happens it is larger than it (below or above). When the momentum starts to change however, the Ice curves inside of the mountain. As you can see here, where the BUY signal (red cross) is, the Ice curves into the mountain; also where the SELL signal (red circle) is, the Ice curves into the mountain. The Ice curving into the mountain is a very important leading indication that momentum is changing and the Signals (crosses and diamonds) help solidify this momentum change.
The Index levels for YinYang Momentum is a little different than most oscillators that range from 0-100. Instead YinYang Momentum’s neutral level is 0 and it ranges from -100 to 100. For these reasons, the Viable Range for Buying is -40 to -70 and the Optimal Range for Buying is -70 to -100. For Selling, the Viable Range is 40 to 70 and the Optimal Range is 70 to 100.
If you look at the example above, you can see whenever it has been in the optimal range and the signal occurred, it may potentially be an amazing time to buy or sell. However, when it is within the Viable Range it can be hit or miss. The reason for this is because we are only looking at the Regular Price Mountain and Ice. Once we turn on the Predictive Price and Regular Volume we will have a much clearer idea as to what is noise and what is a true purchase signal. Why don’t we turn on Predictive Price Mountains and Ice so you can see what we’re talking about:
So there are 2 big things that changed when we added the predictive price mountains + ice.
We can see that where the orange circle is, is just noise, it isn’t a viable buy signal.
We can see that where the red circle is, is actually a better spot to sell than the previous marked white circle slightly to the right of it.
We will explain why both above are true, but first let's explain how we were able to deduce this information.
There are 5 rules when deciphering if the signal is a true signal or just noise.
You want the predictive mountain to be decently spaced out from the regular mountain. Refer to the example above how that should look. Remember it's predictive so with parabolic movements it will get quite spaced out. If the price went up but slowly, it generally won’t be as spaced and isn’t as strong of a signal predictor.
You want the Ice to be of a decent size and to curve in on both the Predictive and Regular Mountains. Both arrows (red and white circle arrows) are pointing to Ice that does just that. The Predictive mountain is of decent size and spaced out and the Ice curves in sharply on the Predictive, before curving in sharply on the Regular and then we get both Predictive and Regular Support Cross on the Same Bar.
When you get the Signals (Predictive and Regular) the amount of bars between them matters a lot! On the same Bar is ideal, however 1-2, max 3 bars between them is acceptable. Any more than 3 bars spacing and it's too risky of a signal because that means momentum change was happening but then stopped before picking back up. This doesn’t mean it can’t be a good signal, it just means it is much more risky and we don’t recommend it.
You don’t want Signal Clustering. You can see an example of this from the picture above. Signal Clustering is where signals are back to back over and over. During this time the momentum is in a consolidation phase and easily swaps back and forth between signals. These signals are not reliable and should not be traded on. We only want to act on clear momentum based signals.
Last but certainly not least, actually, the most important! Ensure that the Mountain + Ice for both the Predictive and Regular is at the bare minimum touching (preferably inside) the Viable Range. The Optimal range is best, but most mountains don’t make it that far. Viable Range is where you will make most of your trades from. Sometimes a great signal happens with all 5 of these rules but it is only touching the Viable Range right at 40 or -40. This CAN be okay, but is also much more risky than if it was at 50 to 60 or -50 to -60.
Based on the 5 rules mentioned, take a second and look back at the photo where we initially added the Predictive Price mountains and Ice, can you decipher why the orange circle is just noise, and can you see why the red circle is a better sell location than the white circle slightly to the right of it?
Let’s bring that photo back up now and let’s discuss this:
Let's start with the orange circle:
This orange circle, without the predictive, was hard to tell if it was a good location to buy or not, but the second we turned it on we could clearly see it was just noise.
The spacing between the Predictive mountains and the Regular is almost non-existent.
There was signal clustering shortly before this signal.
Remember, there doesn’t have to be many rules broken for a signal to be either too risky or not valid at all. The safest trades are ones where it meets the requirements of all 5 rules (6 once we talk about volume, but 5 price rules).
Now, let's discuss the red circle:
This red circle, although it could have been chosen with just the regular, was much more noticeable with the predictive added on top.
It has a perfect spacing between the Predictive and the Regular all the way to the peak.
The Ice is large and both curve in very nicely towards the mountains.
The signals are within 2 bars apart from each other.
There is no signal clustering.
The Predictive is within the Viable Range and the Regular is just touching it.
For these reasons, the red circle actually would have been where you sold and not the white circle beside it.
This pretty much covers the Price Mountains, but wait! The most important Cherry on Top to your decision making process is coming next!
We have just enabled our Regular Volume Mountains and Ice (which are the black mountains + ice). As you can see, we have circled what we call the ‘Perfect Combo’. This Perfect combo is when you have all 5 Price rules met COMBINED with a high volume mountain. The Volume Mountain and Ice act as strength. They aren’t biased towards bulls or bears, they simply show strength to whatever signal is present with it.
For example, if all 5 rules are met with Price on a Blood Diamond (Bear) Signal and there is a High Volume Mountain then this is also a ‘Perfect Combo’. That Blood Diamond signal will potentially have great strength behind it. The Viable and Optimal Ranges don’t apply to volume mountains. Any volume mountain, even close to the Viable Range, is considered to be a very high mountain. High volume is when the mountain is above 0 and low volume is when it's below 0. Any signal with low volume has less of a chance of being correct, regardless of whether it abides by all 5 price rules.
You can see here that the 5 Price rules are achieved but the volume mountain is low. It is at -25. Since the 5 Price rules are right, there is still a decent amount of accuracy to this signal and the price did plummet after, but not nearly as much as it would have if the volume mountain was high with it.
We have turned our Confirming Price Mountain on here so you can get an idea of what it looks like and how it’s used. If you refer to the Support Crosses and Blood Diamonds circled in white, you’ll see that although they both received their signals on the Predictive and Regular, neither of them received it on the Confirming. This shows that these signals lost momentum shortly after. However if you look at both the red and green circles, you’ll see that they both received their confirming signals and that it helped give those signals momentum. The Confirming Price Mountain is meant to help confirm if the momentum change is still on track and the max 3 bars from the regular signal rule still applies to it. However its height within the viable and optimal range is important, just not as relevant
Before we move on to our Information Tables we want to take a second just to discuss our Volume Mountains and Ice. We haven’t had a chance yet to discuss the Predictive or Confirming Volume. When it comes to our Volume Mountains + Ice, we don’t recommend having more than 1 on at a time. The reason we have included the Predictive and Confirming is in case you find they suit your Trading Style best, not necessarily to be used the same way the Price Mountains and Ice are. The main reason for this is due to the fact that the Volume Mountains are much smaller and when overlaid on top of each other can make a confusing blur that is hard to decipher.
In this example above we have enabled both Predictive and Regular Volume just so you can understand what we are talking about. The two together can be rather confusing and actually interfere with your decision making process. For this reason, we highly recommend finding the Volume Mountain that suits your trading style best and solely sticking to that.
Our Predictive Volume Mountains and Ice may help sense volume changes before they’ve even happened. This can be very useful if your Trading Style revolves around heavy volume changes.
Our Confirming Volume Mountains and Ice are much slower and smaller, but they help show the movement of volume that has occurred already. This can be used to help see the movement of volume without fearing it may or may not happen.
Our Information Tables are there to show you valuable information on whether it is in a state of Support Cross or Blood Diamond on 6 different Time Frames at the same time. The % it shows you displays how much of a price change has occurred since that signal has happened. It is important to note, if for instance you see it is in a state of Support Cross but the % is negative, this generally means it is going to switch to Blood Diamond soon and vice versa. Therefore if you are in a trade, especially on a lower Time Frame and you are watching the 1 Day or a higher Time Frame and notice that the % is getting less and less, it may be a good time to get out.
We will conclude our Tutorial here. If you have any Questions, Concerns, Suggestions or Comments please don’t hesitate to contact us.
Settings:
1. Show Predictive to Confirmed Trendline:
The Predictive to Confirmed Trendline is very useful for seeing when the predictive (Support Cross or Blood Diamond) has hit the confirmed (It’s a strong confirmation that the trend may be shifting). This trendline also features a Moving Average which helps give you a solid marker for when the Regular / Predictive mountains cross under or over it that a momentum swing may occur. Somewhat like when the RSI crosses above/below its Moving Average it dictates momentum change, that is likewise how to interpret when it happens with the mountains and this trendline.
2. Show Price Ice and Mountains based on:
The Price Ice and Mountains are very important when it comes to deciphering signal strength. For example, When the mountains are very low (regular and predictive) and are between the 2 red line (undervalued) or even possibly below the bottom red line, and the Ice on the mountains starts to curve into the mountains and then the Predictive and Regular Support Cross occur; this is a very strong Bullish Signal. But wait, that's not all, the cherry on top is when the volume mountain (black) is ALSO high while this occurs; the Volume Mountain adds Strength to the signal. When the volume mountain is high too during this ‘Perfect Combo’ this may potentially lead to very bullish price movement occurring soon. Here is an overview of each mountain:
2.1. Predictive: Are the least reliable, but they move first and nothing will move without the predictive moving first, and getting you ready.
2.2. Regular: Are the most accurate, they don't signify strength on its own, but they sure show some momentum.
2.3. Confirming: Are slightly behind when it comes to displaying data, and therefore shouldn't be used for entry / exit, but rather to show if the trend movement has truly been confirmed or not.
When the Ice starts to curve into the Mountain, (either upward or below) it signifies possible momentum change. There are Crosses (Bull), and Diamonds (Bear) to show when they've crossed. Cross' and Diamonds balance each other out and therefore there can never be more than 1 in a row (of the same type). When the Ice and Mountain size is very large (between 40 and 70), and the predictive Ice starts to curve into its mountain, and then the predictive curves into the Regular, and the Regular Ice is curving into its Mountain, then it may have some strong weight behind that signal.\nIMPORTANT: refer to Volume tooltip below for how to increase the signal strength even more.
3. Show Volume Ice and Mountains based on:
The Volume Ice and Mountains are for giving strength to the Price's signals and Size. When there is the perfect combo (described above) AND the Volume Ice + Mountain is high, then there may be a lot of strength to that Price signals (whether it is Cross (Bull), or Diamond (Bear)).
IMPORTANT: High volume mountains, unlike Price, don't mean good or bad. Volume shows strength to the Price, and therefore if there are high Volume mountains during a Diamond (Bearish), then there may be a lot of strength to that signal and vice versa.
4. Show Information Tables:
Information tables are used to display 6 different Time Frames and whether or not each time frame is in a state of Blood Diamond (red) or Support Cross (green). They also show how much % in price has changed since the current signal happened. These are very useful for seeing how the price is fairing on different Time Frames without having to constantly change your timeframe. For instance, maybe you base your entry off the 1 day time frame but then you swing trade on the 15 minute. Well, after you’ve confirmed your entry position and are sitting on the 15 minute, you can stay on the 15 minute and see how it is fairing on the 1 day, 5 minute or whatever time frame you choose. This way you aren’t distracted from the trade at hand. All of these Time Frames can be adjusted in the Settings (GUI) to whatever resolution you wish.
5. 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!
Goldbach Time IndicatorGoldbach Time Indicator (Minute Algebra + Core Levels)
A time-based discovery tool that maps minute arithmetic to a curated set of “Goldbach levels” (0–77) and highlights core reliable levels (29, 35, 71, 77) on any symbol/timeframe. It’s designed for session timing, event clustering, and pattern research—not price prediction.
What it shows
Three per-bar minute transforms:
Min = current minute (00–59)
Min+Hr = minute + hour (mapped, 60 → 00; valid up to 77)
Min−Hr = |minute − hour| (auto-chooses positive variant; 60 → 00)
Hit detection: marks a bar if any transform lands on an allowed Goldbach level.
Core emphasis: special tint/labels for 29, 35, 71, 77.
Optional background highlight (green for hits, blue tint when a core level is present).
Large corner readouts (optional): current Min / Min+Hr / Min−Hr with ✓ or ⭐ for core.
Detailed table: current time (your chosen timezone) + the three values and their status.
Histogram (optional): total hits and core hits under the chart.
Hover tooltips: per-bar time + which transforms hit (and whether they’re core).
Inputs & controls
Timezone Preset: UTC, New York, Tokyo, London, Sydney, or Custom UTC Offset.
Display toggles: Large number panels, Detailed table, Histogram, Horizontal reference lines.
Levels:
Standard set: 0,3,7,11,14,17,23,29,35,41,44,47,50,53,56,59,65,71,77
Core Only: show just 29, 35, 71, 77
Custom: paste your own comma-separated list (0–77)
Test Mode: assists with visual verification (e.g., consistent tooltips across all bars).
Core highlighting: stronger visual emphasis when a core level is hit.
How it helps
Session research: check if your strategy events cluster around certain minute signatures.
Timing filters: avoid entries during “no-hit” windows or focus on core hits.
Backtest guidance: the histogram and info panels make it easy to log/compare timing regimes.
Multi-market: independent of price scale—works for FX, indices, crypto, metals, single stocks.
Reading the visuals
Dots:
Yellow = Min, Lime = Min+Hr, Orange = Min−Hr, Blue = Core
Background:
Green = at least one hit, Blue tint = core level present
Tables/Panels: show current time (with timezone), raw values, and ✓/⭐ status.
Quick start
Choose your Timezone Preset (or set Custom UTC offset).
Start with Standard Levels; enable Core highlighting.
Turn on Detailed Table to confirm values match your venue/session.
(Optional) Show Histogram to see hit density; add Horizontal Lines for fixed references.
If needed, switch to Core Only or define Custom Levels to fit your hypothesis.
Notes & disclaimers
This is a time analytics overlay, not a buy/sell signal engine.
“Goldbach levels” here are a research framework (minute algebra 0–77) used for market-timing studies.
Always forward-test any timing rules with your strategy and risk plan.
Tags: timing, minute math, session research, clustering, core levels, UTC offset, macro timing, exploration
Regime Reaper | QuantEdgeB📊 Regime Reaper | QuantEdgeB
🔍 What is Regime Reaper?
Regime Reaper is QuantEdgeB’s premier regime detection engine, designed to quantify market behavior through a scientific blend of stationarity tests, trend diagnostics, and reversion signals.
Rather than guessing if a market is trending or mean-reverting, Regime Reaper mathematically determines it—blending econometrics with market momentum, volatility texture, and predictive correlation.
💡 Think of Regime Reaper as a financial MRI — probing deep statistical layers to tell you what kind of environment you're in before you make a move.
⚙️ Core Components
✅ Z-Blend Framework
At its core, Regime Reaper combines up to 15 independent signals, each normalized via Z-Scores, including:
• 🧪 Stationarity Tests: ADF, KPSS, PP Test — detecting mean-reverting pressure or randomness
• 🌀 Cycle Predictors: Hurst exponent, Fourier approximation
• 🔥 Trend Strength: ADX, Price Momentum Correlation (PMC), Relative Price Change
• 💣 Volatility Analysis: GARCH, BBW, VAM
• ⚡ Behavioral Texture: Choppiness Index, Wavelet Energy, Half-Life
Each signal is optionally enabled/disabled — allowing surgical custom blends tailored to your asset or timeframe.
✅ Z-Avg Value Engine
• All active signals are aggregated into a composite Z-Score (Z-Avg)
• This value forms the backbone of regime classification logic
• Combined with adaptive percentile thresholds for precision detection
🎯 Regime Classification Logic
🧭 Z-Avg-Based Threshold Model
Regime Reaper classifies markets into three states:
Z-Avg Score Market Regime
≥ Threshold + Percentile 🔺 Trending
≥ Threshold Only ⚖️ Neutral / Weak Trend
≤ Reversion Threshold 🔻 Mean-Reverting
These scores are colored, plotted, and displayed in a histogram view to make regime transitions immediately visible.
✅ Custom threshold values via:
• Trending Threshold
• Reverting Threshold
• Percentile Rank Comparison
📊 Dashboard Overlay (Optional)
Regime Reaper includes three live tables:
1. Metrics Panel (𝓡𝓮𝓰𝓲𝓶𝓮 𝓡𝓮𝓪𝓹𝓮𝓻)
o Displays the Z-Score of each active metric
o Highlights total Z-Blend Score
o Shows current regime stage (Trending, Reverting, Neutral)
2. Signal Scanner Table
o Explains current Z-Avg score & decision logic
o Displays thresholds for trend/revert neutrality
o Delivers a stage verdict with live updates
3. Info Panel
o Visual color-coded regime bars
o Snapshot of all 3 possible states
🎨 Visual Signal System
• Z-Avg Histogram — core value colored by regime state
• Background Coloring — lightly shades trending vs reverting periods
• Table Text Coloring — shows metric strength in live table updates
• User-Specified Color Themes — switch between Magic, Strategy, Cool, etc.
🧠 Why Use Regime Reaper?
Because knowing the market’s regime changes everything:
• Reversion strategies fail in strong trends
• Trend systems bleed during choppy reverts
• Random walks are dangerous to both
With Regime Reaper, you no longer have to guess — you measure.
💼 Ideal Use Cases
• Trend vs Mean-Reversion Filters
• System Mode Switching (Auto Toggle)
• Volatility Regime Adaptation
• Signal Confidence Boosting (by regime match)
• Portfolio Allocation Strategy Filters
🧬 Default Config
• Composite Model: All 15 metrics ON
• Trending Threshold: +0.15
• Reversion Threshold: −0.15
• Adaptive Filtering via Percentile Ranks
🧬 In Summary
Regime Reaper | QuantEdgeB is more than a filter — it's a regime recognition system built on powerful statistical indicators and dynamic Z-Score fusion. It doesn’t just observe behavior; it categorizes it.
Use it to confirm entries, time exits, suppress signals in bad regimes, or dynamically change your system logic.
📌 Trade the Right Logic in the Right Market | Powered by QuantEdgeB
🔹 Disclaimer: No indicator guarantees future performance.
🔹 Tip: Tune metric
Cross-Exchange Open Interest[nakano]## Cross-Exchange Open Interest
This Pine Script® indicator aggregates **Open Interest (OI)** across multiple exchanges and trading pairs, displaying it as a single, easy-to-understand candlestick chart. OI represents the total number of outstanding derivative contracts and is a crucial metric for gauging market sentiment and liquidity.
このPine Script®インジケーターは、複数の取引所と複数の取引ペアにわたる**オープンインタレスト (OI)** を集計し、単一の分かりやすいローソク足チャートとして表示します。OIは未決済のデリバティブ契約の総数を表し、市場のセンチメントと流動性を測る重要な指標となります。
### Key Features
* **Cross-Exchange Aggregation:** Integrates OI data from several major exchanges (e.g., Binance, OKX, BitMEX, Kraken). You can configure up to 10 exchange slots.
* **クロス取引所集計:** 複数の主要な取引所 (例: Binance, OKX, BitMEX, Kraken) からのOIデータを統合します。最大10個の取引所スロットを設定できます。
* **Multi-Pair Support:** For each exchange, you can specify multiple trading pairs (e.g., `USDT.P`, `USD.P`) separated by commas, and their OIs will be summed up.
* **複数ペアサポート:** 各取引所に対し、カンマ区切りで複数の取引ペア（例: `USDT.P`, `USD.P`）を指定し、それらのOIを合計して表示できます。
* **Flexible Asset Settings:**
* **Chart Symbol:** Automatically aggregates OI for the base asset of the current chart (e.g., BTC if on a BTCUSDT chart).
* **Custom Asset:** Allows you to manually specify a base asset (e.g., ETH, SOL) for OI aggregation.
* **柔軟な資産設定:**
* **チャートシンボルに連動:** 現在表示しているチャートの基本資産（例: BTCUSDTチャートならBTC）のOIを自動的に集計します。
* **カスタム資産:** 特定の基本資産（例: ETH, SOL）のOIを手動で指定して集計することも可能です。
* **OI Candlestick Display:** Plots the aggregated OI data as candlesticks.
* **Up/Down Candles:** OI increases are shown as "up" candles, and decreases as "down" candles, with customizable colors.
* **OIローソク足表示:** 集計されたOIデータをローソク足としてプロットします。
* **陽線/陰線:** OIが増加した場合は陽線、減少した場合は陰線として表示され、色をカスタマイズできます。
* **Bar Coloring based on OI Change:** Features the ability to change the color of the main chart's price bars based on significant OI changes.
* **Dynamic Threshold:** Calculates a dynamic threshold based on historical OI changes and a user-defined multiplier to automatically identify "significant changes" in OI.
* **Color-coded:** Highlights the main chart's bars with customizable colors when there is a large increase or decrease in OI.
* **OI変化に基づくバーカラーリング:** メインチャートの価格バーの色を、OIの大きな変化に基づいて変更する機能があります。
* **動的閾値:** 過去のOI変化を基に動的な閾値を計算し、設定した乗数に応じてOIの「大きな変化」を自動で識別します。
* **色分け:** OIの大幅な増加または減少があった場合に、メインチャートのバーをカスタマイズ可能な色でハイライトします。
* **Debug Table (Optional):** When enabled, a debug table appears on the chart, showing raw OI data, quantity-based OI, and USD-converted OI for each exchange and pair in real-time, which helps in verifying the data.
* **デバッグテーブル (オプション):** 有効にすると、各取引所・ペアごとの生OIデータ、数量ベースのOI、USD換算OIをリアルタイムで表示するデバッグテーブルがチャート上に表示され、データの確認に役立ちます。
### How to Use
This indicator helps you understand the overall trend of open positions for a specific asset across the market. An increase in OI generally indicates an influx of capital and growing market interest, while a decrease suggests the opposite. By combining price movements with OI changes, you can gain deeper insights into bullish/bearish signals and the potential for trend continuation or reversal.
このインジケーターは、特定の資産に対する市場全体の未決済ポジションの動向を把握するのに役立ちます。OIの増加は通常、市場への資金流入と関心の高まりを示し、OIの減少はその逆を示唆します。価格変動とOIの変化を組み合わせることで、市場の強気・弱気の兆候や、トレンドの継続・反転の可能性をより深く分析することが可能です。
### Settings
* **OI Candle Settings:** Configure the colors for the up and down OI candles.
* **OIローソク足設定:** OIローソク足の陽線と陰線の色を設定します。
* **Asset & Exchange Settings:**
* **Asset Source:** Choose "Chart Symbol" to link to the current chart's symbol, or "Custom" to specify the asset in "Base Asset (Custom)".
* **Slot 1-10:** Enable/disable each exchange slot and set the exchange name and comma-separated trading pairs you wish to aggregate.
* **資産と取引所の設定:**
* **資産ソース:** 「Chart Symbol」を選択すると現在のチャートのシンボルに連動し、「Custom」を選択すると「Base Asset (Custom)」で指定した資産のOIを集計します。
* **スロット 1-10:** 各スロットで取引所を有効/無効にし、取引所名と、集計したい取引ペア（カンマ区切り）を設定します。
* **Bar Coloring on OI Change:**
* **Enable Bar Coloring:** Toggles whether the main chart's bars change color based on significant OI changes.
* **Threshold Calculation Period / Multiplier:** Sets the period and multiplier for dynamic threshold calculation.
* **OI Increase Color / OI Decrease Color:** Sets the colors applied to the main chart's bars for large OI increases/decreases.
* **OI変化に基づくバーカラーリング:**
* **バーカラーリングを有効にする:** OIの大きな変化に基づいてメインチャートのバーの色を変更するかどうかを切り替えます。
* **閾値計算期間 / 乗数:** 動的な閾値計算に使用する期間と乗数を設定します。
* **OI増加時の色 / OI減少時の色:** OIの大きな増加/減少があった場合にメインチャートのバーに適用される色を設定します。
* **Debug Table Settings:**
* **Show Debug Table:** Toggles the display of the debug table and sets its position.
* **Font Size / BG Color:** Configures the font size and background color for the debug table.
* **デバッグテーブル設定:**
* **デバッグテーブルを表示:** デバッグテーブルの表示/非表示を切り替え、表示位置を設定します。
* **フォントサイズ / 背景色:** デバッグテーブルのフォントサイズと背景色を設定します。
EMI, RSI, Pivot based technical IndicatorsMulti-Indicator Trading Toolkit for Comprehensive Market Analysis
This Pine Script-based trading tool integrates multiple technical indicators to provide traders with a holistic view of market trends, volatility, and key price levels. Designed for flexibility, the script allows users to customize settings to match their trading strategy.
Key Features & Functionalities
1. Exponential Moving Averages (EMA)
Plots four configurable EMAs (default: 9, 21, 50, and 200) to identify trend direction and potential support/resistance zones.
2. Relative Strength Index (RSI)
Calculates RSI (default length: 14) to highlight overbought (70) and oversold (30) market conditions.
Customizable thresholds allow traders to adapt the RSI to different market conditions.
3. Pivot Points with Support & Resistance Levels
Computes pivot levels based on the previous day’s high, low, and close.
Includes dynamic support (S1-S5) and resistance (R1-R5) levels to assist in trade decision-making.
4. Volume-Weighted Average Price (VWAP)
Tracks the average price weighted by volume over a session, helping traders determine fair value zones.
5. Opening Range Breakout (ORB)
Identifies potential breakout opportunities based on the highest and lowest price within a user-defined opening range (5m, 15m, or 30m, etc.).
Highlights these levels to assist in trade entries and exits.
6. Multi-Timeframe RSI Analysis
Retrieves and displays RSI values from multiple timeframes (e.g., 1m, 5m, 15m, 1H, 1D).
Helps traders analyze RSI trends across different timeframes in a single view.
7. Volatility Index (VIX) Tracking
Monitors VIX data to gauge market volatility.
Displays daily percentage change and short-term variations (15 min, 1 hour), aiding in risk assessment.
8. Dynamic Table Display
Organizes key data (RSI values, VIX levels, and volatility changes) in customizable tables for an easy-to-read format.
Users can modify table position, colors, and display settings for personalized analysis.
9. Advanced Plotting for Visual Clarity
Clearly plots EMA, RSI, pivot levels, ORB levels, VWAP, and VIX movements on the chart.
Uses distinct colors and styles to enhance readability.
10. Customizable Inputs for Personalized Analysis
Provides a user-friendly input panel to modify settings, including EMA periods, RSI thresholds, ORB duration, table position, and plotting preferences.
Enables traders to tailor the script to their preferred trading style.
🧠 How the Indicators Work Together (Strategy Logic)
This script is not just a visual dashboard of common indicators — it’s a cohesive trading assistant designed to help traders make data-driven decisions through multi-layered confluence logic:
1. Trend Confirmation using EMAs:
The combination of 9/21/50/200 EMAs filters trades based on overall trend strength.
For example, long trades are considered only when the 21 EMA is above the 50 EMA and price is above the 9 EMA, confirming bullish momentum.
2. Momentum Alignment via Multi-Timeframe RSI:
Traditional RSI can give early or false signals. This script fetches RSI values from multiple timeframes (1m, 5m, 15m, 1H, 1D) to identify consistent strength or weakness across market structures.
3. Only when RSI is oversold/overbought across multiple timeframes does the signal become valid — reducing noise.
Breakout Confirmation with ORB + VWAP:
The script detects opening range breakouts (ORB) and filters them using VWAP and EMA zones to confirm whether breakouts are supported by volume and trend.
For instance, a long breakout above the ORB high is validated only when price is also above VWAP and EMAs align.
4. Volatility Context with VIX:
Incorporates VIX changes (live, 15m, 1h) to assess whether market conditions favor breakouts or consolidation.
If VIX is rising sharply, the script highlights caution zones — useful for adjusting position size or avoiding false breakouts.
5. Dynamic Signal Filtering:
Instead of triggering alerts directly, this script displays aligned conditions visually in a dynamic table.
Traders can see at a glance whether all confluence layers are in agreement, helping reduce over trading and enhance timing.
🌟 What Makes This Script Unique
✅ Strategic Integration of trend, momentum, volatility, and range-breakout concepts — not just plotted indicators.
✅ Multi-timeframe RSI logic presented in a table — letting traders spot alignment across timeframes without switching charts.
✅ Built-in volatility filter (VIX) for risk context, a feature rarely combined with ORB and trend indicators in a single script.
✅ Adaptive to all timeframes and instruments, especially useful for high-beta indices like Bank Nifty or Nasdaq.
✅ User-friendly customization, allowing traders to tailor everything from ORB window size to table position and indicator settings.
This all-in-one trading toolkit is designed for traders seeking a structured, data-driven approach to technical analysis. Whether you’re a short-term trader or a long-term investor, this script offers the flexibility and insight needed to navigate the markets effectively.
Massive Market Order Detector by GSK-VIZAG-AP-INDIA
Massive Market Order Detector by GSK-VIZAG-AP-INDIA
Purpose of the Indicator:
This indicator is designed to detect massive market orders (high-volume trades) in real-time, helping traders identify potential accumulation or distribution zones. It highlights sudden spikes in volume that exceed a calculated threshold, signaling strong buying or selling pressure.
Core Logic & Unique Aspects:
Volume Spike Detection: Compares the current volume to the average volume over a user-defined lookback period. If the volume exceeds the threshold (calculated using a multiplier), it is classified as a Massive Order.
Buy vs. Sell Order Identification: Determines whether the detected massive order is a buy (green marker) or a sell (red marker) based on candlestick price action.
Time Zone Adjustment: Allows traders to adjust the timestamp according to their local timezone, ensuring accurate interpretation of order timings.
Table Display of Recent Orders: A table is created within the chart to list the last 15 detected massive orders, showing key details such as time, volume, type (buy/sell), price, and volume percentage change.
How It Works:
The indicator calculates the average volume over a lookback period (default: 20 bars).
If the current volume exceeds the threshold (average volume × multiplier), it is marked as a Massive Order.
The order is classified as:
Massive Buy Order (MB) → If the closing price is higher than the opening price.
Massive Sell Order (MS) → If the closing price is lower than the opening price.
The detected orders are visually represented as green (MB) and red (MS) labels on the chart.
The most recent 15 massive orders are logged in a table for easy reference.
Intended Use Cases:
🔹 Scalping & Intraday Trading – Spot unusual market activity to enter or exit trades quickly.
🔹 Swing Trading – Identify strong buying or selling pressure at key support/resistance levels.
🔹 Breakout Confirmation – Validate if price breakouts are backed by significant volume.
🔹 Market Manipulation Detection – Recognize potential institutional buying/selling activity.
Input settings:
Lookback Period: Adjust the number of bars to calculate average volume.
Volume Multiplier: Set the threshold as 1/2/3 for defining a massive order.
Time Zone Offset: Modify timestamps to match your local market time.
Max Signals in Table: Control how many signals are displayed in the table.
Why Use This Indicator?
✅ Identifies smart money activity
✅ Works across multiple timeframes (5m, 15m, 1H, Daily, etc.)
✅ No repainting – Reliable real-time signals
✅ Easy-to-read visual cues & table logs
Disclaimer:
"This indicator is for educational and informational purposes only and should not be considered financial advice. Always do your own research (DYOR) and consult with a qualified financial professional before making investment decisions. Trading involves significant risk, and past performance does not guarantee future results. I am not a licensed financial advisor and hold no liability for any losses incurred. This indicator may not work in all market conditions, and results are based on backtesting or hypothetical scenarios. Use at your own discretion and ensure compliance with local regulations."
Bayesian TrendEnglish Description (primary)
1. Overview
This script implements a Naive Bayesian classifier to estimate the probability of an upcoming bullish, bearish, or neutral move. It combines multiple indicators—RSI, MACD histogram, EMA price difference in ATR units, ATR level vs. its average, and Volume vs. its average—to calculate likelihoods for each market direction. Each indicator is “binned” (categorized into discrete zones) and assigned conditional probabilities for bullish/bearish/neutral scenarios. The script then normalizes these probabilities and paints bars in green if bullish is most likely, red if bearish is most likely, or blue if neutral is most likely. A small table is also displayed in the top-right corner of the chart, showing real-time probabilities.
2. How it works
Indicator Calculations: The script calculates RSI, MACD (line and histogram), EMA, ATR, and Volume metrics.
Binning: Each metric is converted into a discrete category (e.g., low, medium, high). For example, RSI < 30 is binned as “low,” while RSI > 70 is binned as “high.”
Conditional Probabilities: User-defined tables specify the conditional probabilities of each bin under three hypotheses (Up, Down, Neutral).
Naive Bayesian Formula: The script multiplies the relevant conditional probabilities, normalizes them, and derives the final probabilities (Up, Down, or Neutral).
Visualization:
Bar Colors: Bars are green when the Up probability exceeds 50%, red for Down, and blue otherwise.
Table: Displays numeric probabilities of Up, Down, and Neutral in percentage terms.
3. How to use it
Add the script to your chart.
Observe the colored bars:
Green suggests a higher probability for bullish movement.
Red suggests a higher probability for bearish movement.
Blue indicates a higher probability of sideways or uncertain conditions.
Check the table in the top-right corner to see exact probabilities (Up/Down/Neutral).
Use the input settings to adjust thresholds (RSI, MACD, Volume, etc.), define alert conditions (e.g., when Up probability crosses 50%), and decide whether to trigger alerts on bar close or in real-time.
4. Originality and usefulness
Originality: This script uniquely applies a Naive Bayesian approach to a blend of classic and volume-based indicators. It demonstrates how different indicator “zones” can be combined to produce probabilistic insights.
Usefulness: Traders can interpret the probability breakdown to gauge the script’s bias. Unlike single indicators, this approach synthesizes several signals, potentially offering a more holistic perspective on market conditions.
5. Limitations
The conditional probabilities are manually assigned and may not reflect actual market behavior across all instruments or timeframes.
Results depend on the user’s choice of thresholds and indicator settings.
Like any indicator, past performance does not guarantee future results. Always confirm signals with additional analysis.
6. Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risk, and you should make decisions based on your own analysis. Neither the script’s author nor TradingView is liable for any financial losses.
Русское описание (Russian translation, optional)
Этот индикатор реализует наивный Байесовский классификатор для оценки вероятности предстоящего роста (Up), падения (Down) или бокового движения (Neutral). Он комбинирует несколько индикаторов—RSI, гистограмму MACD, разницу цены и EMA в единицах ATR, уровень ATR относительно своего среднего значения и объём относительно своего среднего—чтобы вычислить вероятности для каждого направления рынка. Каждый индикатор делится на «зоны» (low, mid, high), которым приписаны условные вероятности для бычьего/медвежьего/нейтрального исхода. Скрипт нормирует эти вероятности и раскрашивает бары в зелёный, красный или синий цвет в зависимости от того, какая вероятность выше. Также в правом верхнем углу отображается таблица с текущими значениями вероятностей.
The Flip by Tren10xWhat the Script Does:
"The Flip" is a simple trading script designed to enhance market analysis and trading decisions by detecting key price levels and timeframe shifts. It identifies when timeframes switch from bullish to bearish or vice versa and displays this information using the 50% levels and the Full Time Frame Continuity (FTFC) table.
How the Script Works:
Detection of Key Levels:
50% Level of the Previous Candle: The script calculates and displays the midpoint of the previous candle, helping traders quickly identify potential reversal points and key support or resistance levels.
Opening Print Levels: The script tracks the opening prices for various timeframes (Day, Week, Month, Quarter, and Year), indicating whether the current price is above or below these levels to understand market sentiment and trends.
High/Low Levels: It monitors and displays the Previous Day High/Low, Week High/Low, Month High/Low, Quarter High/Low, and Year High/Low, highlighting significant price levels and potential breakout or breakdown points.
Full Time Frame Continuity Table:
The script provides a visual table showing the alignment of different timeframes (bullish or bearish), allowing traders to make informed decisions based on the overall market structure.
How to Use the Script:
Add to Chart:
Load "The Flip" script onto your TradingView chart.
Customize Settings:
Adjust the appearance and display settings to fit your trading preferences.
Analyze the Chart:
Use the 50% level of the previous candle to identify potential reversal points.
Track the opening print levels for various timeframes to gauge market sentiment.
Monitor the high/low levels to spot significant price levels and potential breakout or breakdown points.
Refer to the FTFC table to see the alignment of different timeframes and make decisions based on the overall market structure.
What Makes This Script Original:
Integration with "The Strat"
Inspired by "The Strat" created by Rob Smith, "The Flip" focuses on the critical moment when timeframes switch from bullish to bearish or vice versa, providing a unique perspective on market movements.
Comprehensive Market View:
By displaying the 50% level of the previous candle, opening print levels, high/low levels, and a full time frame continuity table, the script offers a holistic view of the market, helping traders make more informed decisions.
User-Friendly Visualization:
The script's visual indicators and FTFC table make it easy to quickly assess market conditions and potential trading opportunities, enhancing both the efficiency and effectiveness of market analysis.
When Full Time-Frame Continuity is bullish, you will see a green check mark ✔️, indicating all major timeframes (Daily, Weekly, Month, Quarter, and Year) are aligned.
When Full Time-Frame Continuity is bearish, you will see a red drop 🩸, indicating all major timeframes (Daily, Weekly, Month, Quarter, and Year) are aligned.
Otherwise, you will see mixed timeframes.
Multi-Timeframe Trend IndicatorMulti-Timeframe Trend Indicator
The “Multi-Timeframe Trend Indicator” is a versatile tool designed to help traders identify trends across multiple timeframes using Exponential Moving Averages (EMAs). This indicator is suitable for both novice and experienced traders. It allows users to customize the lengths of the short and long EMAs, providing a clear visualization of the trend direction (UP, DOWN, SIDE) for various intervals including 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, and 4 hours. The indicator offers extensive customization options, enabling adjustments for table position, colors, and more to suit individual trading preferences.
How the Calculation Works
The Multi-Timeframe Trend Indicator uses EMAs to calculate trends. EMAs give more weight to recent prices, making them responsive to new information. The short EMA, calculated over a shorter period, reacts quickly to price changes, while the long EMA, calculated over a longer period, smooths out fluctuations to show the overall trend.
For each timeframe, the indicator calculates both the short EMA and the long EMA. If the short EMA is above the long EMA, the trend is considered “UP”. If the short EMA is below the long EMA, the trend is “DOWN”. If the absolute difference between the short and long EMAs is within a user-defined threshold, the trend is classified as “SIDE” (sideways).
This calculation is repeated for multiple timeframes: 1 minute, 5 minutes, 15 minutes, 30 minutes, 1 hour, and 4 hours. The results are displayed in a table, providing a comprehensive view of the trend direction across different timeframes.
How the Code Works
Input Parameters: Users can input the lengths of the short and long EMAs and the threshold for identifying sideways trends. These inputs allow for a high degree of customization to match individual trading strategies.
Trend Calculation Function: The trend function calculates the trend direction based on the EMAs. It uses the math.abs function to find the absolute difference between the EMAs and determines if the trend is “UP”, “DOWN”, or “SIDE” based on the threshold.
Requesting Data for Multiple Timeframes: The script uses the request.security function to fetch price data and calculate the EMAs for different timeframes independently of the current chart timeframe. This ensures consistency in trend analysis regardless of the displayed timeframe.
Creating and Updating the Table: A table is created to display the trend directions for each timeframe. The table’s position and appearance can be customized. The trend data for each timeframe is color-coded (green for UP, red for DOWN, gray for SIDE) and displayed in the table.
Customization Options: Users can customize the colors, table position, and EMA lengths through the indicator settings, providing flexibility to adapt the indicator to their trading style.
Disclaimer
This indicator is for informational purposes only and should not be considered financial advice. It does not predict future price movements and does not guarantee accurate trend calculations, as market conditions can vary. Trading involves substantial risk and is not suitable for everyone. Always conduct your own research before making any trading decisions.
Live Economic Calendar by toodegrees⚠️ PLEASE READ ⚠️
Although this indicator is accurate in showcasing live and upcoming News Events, checking the original sources is always suggested. This indicator aims to save Time, but due to limitations it may not be 100% correct 100% of the Time.
Description:
The Live Economic Calendar indicator seamlessly integrates with external news sources to provide real-Time, upcoming, and past financial news directly on your Tradingview chart.
By having a clear understanding of when news are planned to be released, as well as their respective impact, analysts can prepare their weeks and days in advance. These injections of volatility can be harnessed by analysts to support their thesis, or may want to be avoided to ensure higher probability market conditions. Fundamentals and news releases transcend the boundaries of technical analysis, as their effects are difficult to predict or estimate.
Designed for both novice and experienced traders, the Live Economic Calendar indicator enhances your analysis by keeping you informed of the latest and upcoming market-moving news.
This is achieved with three different visual components:
News Table: A dedicated News Table shows the Day of the Week, Date, Time of the Day, Currency, Expected Impact, and News Name for each event (in chronological order). Once a news event has occurred, or the day is over, it will be greyed out – helping to focus on the next upcoming news events.
News Lines: Vertical lines plotted in the future help analysts monitor upcoming news events; vertical lines in the past help analysts spot and backtest previous news events that already occurred.
News Labels: Color-coded news labels will plot once the news events have occurred. This not only gives analysts a minimalistic visual cue, but also retains the information of which news were released at that Time in their tooltips.
Forex Factory Calendar News Feed:
The Forex Factory Data Feed includes news events from January 2007 to the present. The data is updated daily. Please see the Technical Description below for more information.
Forex Factory provides news for all major currencies and markets:
Australia (AUD)
Canada (CAD)
Switzerland (CHF)
China (CNY)
European Union (EUR)
United Kingdom (GBP)
Japan (JPY)
New Zealand (NZD)
United States of America (USD)
Further, there are four types of news impact, defined by respective color-coding which is retained to avoid confusion:
⚪ Holiday
🟡 Low Impact
🟠 Medium Impact
🔴 High Impact
News' Time of the day data is in 24H format, and 'All Day' news are marked at Daily candle open.
⚠️ Original Release Notes ⚠️
The original release of this indicator supports the Forex Factory News Calendar in EST (New York Time). Future updates will include multiple news sources, as well as supporting different Timezones.
Given Data limitations, the Daily chart can omit some data due to the market being close on some days. This will be fixed in the future once an efficient solution is implemented.
Key Features:
Impact-Based News Filtering: Filter news items based on their expected impact (holiday, low, medium, high) to focus on the most market-critical information.
Symbol-Specific News: Automatically filter news to display only what's relevant to the currency pair or trading symbol you are analyzing.
Custom Currency News: Want to see more than the news relevant to the current symbol? Toggle which markets' news you are most interested in.
Chart History: Keep your charts clean by displaying only the drawings of Today's news, or This Week's news.
Custom Lookback: Look further back in Time by choosing a custom number of Lookback Days, allowing you to backtest and keep in mind salient news events from the past.
Line and Label Customization: Both the News Lines and Labels are highly customizable (except the colors), allowing you to make the indicator yours.
Table History: Choose whether to focus on Today's news only, or the news for This Week.
Table Customization: The table colors and position are highly customizable, allowing you to make it fit your visual preference and your layouts' aesthetic.
"Wondering how it's done? 👇"
Technical Description:
This script utilizes Pine Seeds , a service integrated with TradingView for importing custom data. This stunning feature enables users to upload and access custom End Of Day (EOD) data, which can be updated as frequently as five times daily.
This data can be imported in one of two formats:
Single Value: integer or float
Candle Data: open, high, low, close, volume
Upon encountering Pine Seeds, I recognized its potential for importing financial news events. Given that Forex Factory is a primary source of financial news in my personal analysis, integrating it into my layouts seemed like an exciting opportunity. This integration is expected to provide significant value to users looking to integrate additional news feeds all in one place.
Development Challenges:
Format Limitations: News events must be converted into numerical values for import, due to the required Pine Seeds format.
Amount of Data: With all currencies considered, the system may encounter over 40 news events in a single day.
Data Availability: The reliance on End Of Day (EOD) data means that information for the current day is displayed with a delay, and accessing future data is not possible.
Solutions:
Encoding: Each news event is encoded as an integer in the "DCHHMMITYP" format.
D = day of the week
C = currency
HHMM = Time of day
I = news impact
TYP = event ID (see Event Library A and Event Library B )
To ensure data assignment for each candle across the open, high, low, close, and volume series, the value "999" is used as a placeholder:
Importing: Utilizing the encoding system, up to five news events per day can be imported for a singular Pine Seeds custom symbol.
By creating multiple custom Pine Seeds Symbols, efficient imports of a larger number of events is then easily achievable. Nine unique symbols have been established, accommodating up to 45 news events per day.
These symbols are searchable, and accessible as " TOODEGREES_FOREX_FACTORY_SLOT_N " where N ranges from 1 to 9.
The Pine Seeds data feed appears as follows:
Uploading Schedule: To ensure analysts are informed about current and upcoming week's news, events are uploaded one week in advance.
This approach is vital for preparing for potential market impacts across various asset classes and currencies, allowing visibility of an entire week's news ahead of Time.
Data Scraping:
Unfortunately Forex Factory doesn't offer an API to fetch their news feed.
Hence an ad hoc python scraper was developed to read and save news events from January 2007 till the present leveraging Selenium. The scraper algorithm is part of a larger script responsible for scraping data, formatting data, and creating all necessary datasets.
The pseudo-code for the python script is as follows:
Read and save news event data on Forex Factory
Format day of the week, currency, Time of the day, and impact data for the Encoding
Encode and save News Event IDs – Event ID dataset is created
Format news data for Pine Seeds (roll-back date by one week, assign news to open, high, low, close, and volume values)
Create Pine Seeds Datasets
This script is ran everyday at Futures market close (16:00 EST) to update the last part of the each dataset, ensuring accuracy, and taking into account last-minute news additions or revisions.
Once the data (next week's news) is imported by the Live Economic Calendar indicator, it's immediately decoded by leveraging the Forex Factory Decoding Library , and saved into an array.
Upon a new week open, the decoded data is used to plot news events on the chart and in the news table.
See the inner workings of these processes in the Forex Factory Utility Library .
Although these libraries are specifically built for this indicator, feel free to use them to create your own scripts. Looking forward to see what the Pine Script community comes up with!
Thank you for making it this far. Enjoy!
Ciao,
toodegrees
This tool is available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the user agrees that Toodegrees and the Toodegrees Team are not responsible for any decisions made based on the information provided by these charting tools. The user assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by using these charting tools, the user accepts and acknowledges that Toodegrees and the Toodegrees Team are not liable nor responsible for any unwanted outcome that arises from the development, or the use of these charting tools. Finally, the user indemnifies Toodegrees and the Toodegrees Team from any and all liability.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
Demand & Supply Zone Scoring: Rally Base & Drop ConceptDemand & Supply Zone Scoring Indicator
The Demand & Supply Zone Scoring indicator is designed to calculate the Trade Strength Score based on the concepts of demand and supply zones, specifically RBR (Rally Base Rally), RBD (Rally Base Drop), DBD (Drop Base Drop), and DBR (Drop Base Rally).
The Demand & Supply Zone Scoring indicator is specifically designed to facilitate a top-down approach with multiple timeframe analysis. It considers the higher timeframe (HTF) for curve analysis, intermediate timeframes (ITF) for trend analysis, and lower timeframes (LTF) for zone-specific analysis.
The indicator provides a table displayed on the chart, offering valuable information for analysis. Let's go through each row of the table:
1. Location:
This row represents the analysis of the curve on the higher time frame (HTF) to identify key levels. It determines whether the price is in a retail area (high on the curve) or a wholesale area (low on the curve). Trading within the wholesale area is considered a strong sign.
2. Trend:
This row focuses on the intermediate time frame (ITF) trend. It indicates whether the trend is upward or downward. If the ITF trend is up and you intend to buy, it suggests a strong point.
3. Achievement:
This row analyzes the achievement of the zone on the lower time frame (LTF). It considers whether the leg-out candle or follow-through candles of the zone have broken any opposite side zone or pivot level. A breakout in the opposite direction is seen as an excellent point.
4. Strength:
This row assesses the strength of the zone on the lower time frame (LTF) where the trade is planned. It looks at the strength of the leg-out candle, such as whether it's a gap candle, an exciting candle, or a candle with follow-through. A strong leg-out candle indicates an excellent point.
5. Time:
This row evaluates the time spent by base candles inside the zone on the lower time frame (LTF). It considers the number of base candles and the duration spent in the zone. Typically, 1 to 3 base candles are seen as strong, while more than 6 base candles receive 0 points.
6. Reward-to-Risk Ratio (RR):
This row focuses on the Risk-to-Reward (RR) ratio of the zone on the lower time frame (LTF) where the trade is planned. It compares the potential reward to the risk. A higher RR ratio, such as 1:3 or greater, is considered excellent.
7. Freshness:
This row analyzes the freshness of the zone on the lower time frame (LTF). It indicates whether the zone is new or has been tested multiple times. A fresh zone or one that has been tested only once is preferable.
Furthermore, it's important to mention that you have the flexibility to customize the text for each parameter according to your specific requirements. The table is designed to be fully customizable, allowing you to adapt the wording to your preferences and trading strategy.
This customization feature ensures that the indicator aligns with your personal trading approach and makes it easier for you to interpret and analyze the information provided in the table.
Additionally, please note that only the total score is displayed in the table on the chart by default. This is to avoid any visibility issues caused by displaying all the parameters. However, if you wish to see all the parameters in the table on the chart, you can easily enable them through the settings.
By enabling the parameters, you will have a comprehensive view of each factor's contribution to the Trade Strength Score directly on the chart.
By utilizing this indicator, calculating the Trade Strength Score becomes easier, providing a comprehensive analysis of various factors that influence trading decisions.
This indicator is developed by Afnan Tajuddin to assist fellow traders in conducting a top-down approach in an effective and efficient manner.
For more educational articles and trade setup ideas, feel free to follow me on TradingView and join me on the journey towards financial freedom through trading.
Path of the Planets🪐 Path of the Planets
Path of the Planets is an open-source Pine Script™ v6 indicator. It is inspired by W.D. Gann’s Path of Planets chart, specifically the Chart 5-9 artistic replica by Patrick Mikula "shown below". The script visualizes planetary positions so you can explore possible correlations with price. It overlays geocentric and heliocentric longitudes and declinations using the AstroLib library and includes an optional positions table that shows, at a glance, each body’s geocentric longitude, heliocentric longitude, and declination. This is an educational tool only and not trading advice.
Key Features
Start point: Choose a date and time to begin plotting so studies can align with market events.
Adjustments: Mirror longitudes and shift by 360° multiples to re-frame cycles.
Planets: Toggle geocentric and heliocentric longitudes and declinations for Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto. Moon declination is available.
Positions table: Optional color-coded table (bottom-right) with three columns labeled Geo, Helio, and Dec. Values show degrees with the zodiac sign for the longitudes and degrees for declinations.
Visualization: Solid lines for geocentric longitudes, circles for heliocentric longitudes, and columns for declinations. Includes a zero-declination reference line.
How It Works
Converts bar timestamps to Julian days via AstroLib.
Fetches positions with AstroLib types: geocentric (0), heliocentric (1), and declination (3).
Normalizes longitudes to the −180° to +180° range, applies optional mirroring and 360° shifts, and converts longitudes to zodiac sign labels for the table.
Plots and the table update only on and after the selected start time.
Usage Tips
Apply on daily or higher timeframes when studying broader cycles. For degrees, use the left scale.
Limitations at the moment: default latitude, longitude, and timezone are set to 0; aspects and retrogrades are not included; the focus is on raw paths.
License and Credits
Dependency: @BarefootJoey Astrolib
Contributions and observations are welcome.
MTF Confluence Dashboard (Multi‑Timeframe Trend/Bias)MTF Confluence Dashboard — Multi‑Timeframe Trend/Bias Table + EMA
The MTF Confluence Dashboard is a fast, non‑repainting multi‑timeframe (MTF) confluence tool that shows higher‑timeframe trend and bias alignment in a compact, on‑chart table. It’s built for prop‑firm challenges and futures day traders who need instant top‑down confirmation without switching charts. Get a clean read of trend direction across your selected timeframes, plus on‑chart MAs for timing.
Why traders use it
* MTF Confluence at a glance: Trend/Bias table aggregates short vs long MA on 1m→1W (you pick which TFs show).
* Non‑repainting: Uses closed-bar higher‑TF data; reliable for alerts and evaluations.
* Futures + prop‑firm friendly: Minimal lag, lightweight, session‑agnostic; perfect for ES/NQ/CL/GC scalping or intraday swings.
Core features
* Trend/Bias Table: “Up / Down” per timeframe and an overall AVG sentiment.
* MA Engine: Choose MA type (SMA/EMA/WMA/HMA) and lengths (e.g., 50/200) to define bias.
* On‑Chart Confirmation: Plots short/long MAs for entry timing on your trading TF.
* Smart Alerts: Built‑in alerts for Strong Up/Up/Neutral/Down/Strong Down average bias.
* Custom Layout: Vertical or Horizontal table, resizable text (Tiny → Huge), corner positioning.
* Pro Visual Themes:
* Dark Intergalactic (neon/futuristic for dark charts)
* Light Minimal (clean light mode)
* Pro Modern (low‑saturation, desk‑ready)
How to trade it
* Scalps (1m–5m): Only take longs when 5m/15m/1H/D are “Up” and AVG is Up/Strong Up; use MA crosses/pulls for entries.
* Intraday swings (5m–15m–1H): Wait for a higher‑TF flip to align; trail under the long MA.
* Risk discipline: If AVG shifts to Neutral/Down, stop looking for longs until bias realigns.
Settings you’ll care about
* Timeframes to display (1m, 2m, 3m, 5m, 10m, 15m, 30m, 1H, 2H, 4H, 6H, 12H, 1D, 1W).
* MA Type: SMA / EMA / WMA / HMA.
* Short/Long lengths (defaults 50/200).
* Theme, orientation, and size.
Notes
* Works on all symbols and timeframes.
* No repainting; alerts trigger on closed conditions.
* Built by PineProfits.
[killerbee] MTF RetracementKey Features
Multi-Timeframe (MTF) Analysis: Plot the high, low, and open from up to four user-defined higher timeframes. This allows you to see the bigger picture and identify key levels that institutional traders are watching.
Dynamic Support & Resistance: Lines are drawn at these key MTF levels and extend until price breaks through them, providing a clean and dynamic view of support and resistance.
Session Highlighting: Automatically draw boxes and high/low lines for the Asia, London, and RTH (Regular Trading Hours) sessions. This helps you understand the context of price action throughout the trading day.
Customizable Opening Price Lines: Pinpoint significant opening prices with dedicated lines for events like the "Midnight Open," "8:30 Open," and "9:30 Open."
"NQ STATS TABLE": A powerful statistical table that provides real-time insights:
Break/Hit Confirmation: Instantly see when a key MTF high/low has been broken or when an opening price has been retraced to.
9 AM Directional Bias: A bullish or bearish bias based on the close of the 9 AM (New York time) hourly candle.
Historical Probabilities: The table displays historical probabilities for price to either break a previous high/low or retrace to the open, based on the current hour of the trading session.
Extensive Customization: Nearly every visual aspect of the indicator can be customized to your preference, including colors, line styles, visibility of each component, and the position of the stats table.
How to Use
Identify Key Levels: The lines from the higher timeframes (HTF1, HTF2, etc.) represent significant support and resistance. Pay close attention to these levels as price approaches them.
Look for Breaks and Retracements:
When a high or low line is broken, the line will stop extending. This can signal a shift in market structure and a potential continuation in the direction of the break.
The "Open Line" for each timeframe represents the opening price. When the line stops extending, it means price has retraced back to that open, a common occurrence in the market.
Utilize the Sessions:
The Asia, London, and RTH boxes help you frame your trading day. The highs and lows of these sessions are often critical levels of support and resistance.
Breakouts from these session ranges can lead to strong directional moves.
Leverage the STATS TABLE:
Use the "Break" and "Hit" columns to quickly confirm when key levels have been breached or revisited.
The "Direction" row gives you a quick sentiment reading based on the 9 AM candle.
The "Trades Back %" and "High/Low Forms" provide a statistical edge by showing you the historical likelihood of certain price behaviors based on the time of day. This can help you decide whether to play for a breakout or a retracement.
Mavericks ORBMavericks ORB – Opening Range Breakout Zones
Overview:
Mavericks ORB is a fully customizable Opening Range Breakout (ORB) indicator designed for serious intraday traders. It dynamically plots the ORB range for your chosen session and timeframe (5 min, 15 min, or any custom range), projects powerful price zones above and below the range, and automatically includes key midpoints—giving you actionable levels for breakouts, reversals, and dynamic support/resistance.
How It Works:
Configurable Session & Duration:
Choose any session start time and range length (e.g., 5 or 15 minutes) to define your personal ORB window.
Automatic Range Detection:
The indicator marks the high, low, and midpoint of the ORB range as soon as your defined period completes.
Dynamic Zones & Midpoints:
Three replicated price zones are projected both above and below the initial ORB, each calculated using the original ORB’s range and evenly spaced. Each zone includes its own midpoint for nuanced trade management and target planning.
Pre-Market Levels:
Tracks pre-market high and low (with fully customizable colors), giving you crucial context as the regular session opens.
Session Range Visualization:
Highlights the defined trading session with an adjustable background color for easy visual tracking.
Real-Time Info Table:
Displays a summary of all key levels—ORB range, highs, lows, and pre-market levels—right on your chart.
Full Customization:
Adjust all colors, enable/disable session range shading, show/hide labels, and tweak all session settings to fit your trading style.
Key Features:
Select any ORB start time and duration (fully customizable)
Plots ORB High, Low, and Midpoint in real time
Automatically projects 3 zones above and 3 zones below, each with its own midpoint
Pre-market high/low detection and labeling
Configurable session shading for visual clarity
At-a-glance info table with all major levels
Multiple color customizations for all zones and lines
Ready-to-use alert conditions for session and pre-market events
How to Use:
Set your preferred ORB start time and duration (e.g., 9:30 AM, 5 min for US equities).
Watch as the ORB forms and updates in real time.
Once complete, the high, low, and midpoint are plotted.
Monitor the projected zones above and below.
Use these for breakouts, targets, or support/resistance.
Reference the info table for all levels and pre-market context.
Customize as you go: Adjust colors, shading, and session settings to your needs.
Who is this for?
Intraday traders who trade the opening range breakout strategy (stocks, futures, forex, crypto)
Price action traders who want clean, actionable levels
Anyone looking for a reliable, highly visual ORB framework on TradingView
Short Description (for TradingView):
Mavericks ORB is a customizable Opening Range Breakout indicator that plots your session’s high, low, midpoint, and projects three dynamic zones above and below the range including midpoints for powerful trade planning. Includes pre-market levels, session highlights, and a real-time info table. Perfect for intraday price action traders.
What Makes Mavericks ORB Unique?
Flexible: Works with any timeframe or session.
Visual: Clean, uncluttered, and fully customizable.
Strategic: Automatic zone and midpoint projection, not just lines.
Practical: At-a-glance info table and real pre-market context.
Alert-ready: Triggers for session and pre-market events.
If you want to include any tips or a personal note (some script publishers do), you could add:
Tip: Use the midpoints for partial profit-taking or to gauge momentum strength. Adjust your ORB window for different asset classes or volatility environments.
ZenAlgo - DominatorThis indicator provides a structured multi-ticker overview of market momentum and relative strength by analyzing short-term price behavior across selected assets in comparison with broader crypto dominance and Bitcoin/ETH performance.
Ticker and Market Data Handling
The script accepts up to 9 user-defined symbols (tickers) along with BTCUSD and ETHUSD. For each symbol:
It retrieves the current price.
It also requests the daily opening price from the "D" timeframe to compute intraday percentage change.
For BTC, ETH, and dominance (sum of BTC, USDT, and USDC dominance), daily change is calculated using this same method.
This comparison enables tracking relative performance from the daily open, which provides meaningful insight into intraday strength or weakness among different assets.
Dominance Logic
The indicator aggregates dominance data from BTC , USDT , and USDC using TradingView’s CRYPTOCAP indices. This combined dominance is used as a reference in directional and status calculations. ETH dominance is also analyzed independently.
Changes in dominance are used to infer whether market attention is shifting toward Bitcoin/stablecoins (typically indicating risk-off sentiment) or away from them (typically risk-on behavior, benefiting altcoins).
Price Direction Estimation
The script estimates directional bias using an EMA-based deviation technique:
A short EMA (user-defined lookback , default 4 bars) is calculated.
The current close is compared to the EMA to assess directional bias.
Recent candle changes are also inspected to confirm a consistent short-term trend (e.g., 3 consecutive higher closes for "up").
A small threshold is used to avoid classifying flat movements as trends.
This directionality logic is applied separately to:
The selected ticker's price
BTC price
Combined dominance
This allows the script to contextualize the movement of each asset within broader market conditions.
Market Status Evaluation
A custom function analyzes ETH and BTC dominance trends along with their relative strength to define the overall market regime:
Altseason is identified when BTC dominance is declining, ETH dominance rising, and ETH outperforms BTC.
BTC Season occurs when BTC dominance is rising, ETH dominance falling, and BTC outperforms ETH.
If neither condition is met, the state is Neutral .
This classification is shown alongside each ticker's row in the table and helps traders assess whether market conditions favor Bitcoin, Ethereum, or altcoins in general.
Ticker Status Classification
Each ticker is analyzed independently using the earlier directional logic. Its status is then determined as follows:
Full Bull : Ticker is trending up while dominance is declining or BTC is also rising.
Bullish : Ticker is trending up but not supported by broader bullish context.
Bearish : Ticker is trending down but without broader confirmation.
Full Bear : Ticker is trending down while dominance rises or BTC falls.
Neutral : No strong directional bias or conflicting context.
This classification reflects short-term momentum and macro alignment and is color-coded in the results table.
Table Display and Plotting
A configurable table is shown on the chart, which:
Displays the name and status of each selected ticker.
Optionally includes BTC, ETH, and market state.
Uses color-coding for intuitive interpretation.
Additionally, price changes from the daily open are plotted for each selected ticker, BTC, ETH, and combined dominance. These values are also labeled directly on the chart.
Labeling and UX Enhancements
Labels next to the current candle display price and percent change for each active ticker and for BTC, ETH, and combined dominance.
Labels update each bar, and old labels are deleted to avoid clutter.
Ticker names are dynamically shortened by stripping exchange prefixes.
How to Use This Indicator
This tool helps traders:
Spot early rotations between Bitcoin and altcoins.
Identify intraday momentum leaders or laggards.
Monitor which tickers align with or diverge from broader market trends.
Detect possible sentiment shifts based on dominance trends.
It is best used on lower to mid timeframes (15m–4h) to capture intraday to short-term shifts. Users should cross-reference with longer-term trend tools or structural indicators when making directional decisions.
Interpretation of Values
% Change : Measures intraday move from daily open. Strong positive/negative values may indicate breakouts or reversals.
Status : Describes directional strength relative to market conditions.
Market State : Gives a general bias toward BTC dominance, ETH strength, or altcoin momentum.
Limitations & Considerations
The indicator does not analyze liquidity or volume directly.
All logic is based on short-term movements and may produce false signals in ranging or low-volume environments.
Dominance calculations rely on external CRYPTOCAP indices, which may differ from exchange-specific flows.
Added Value Over Other Free Tools
Unlike basic % change tables or price overlays, this indicator:
Integrates dominance-based macro context into ticker evaluation.
Dynamically classifies market regimes (BTC season / Altseason).
Uses multi-factor logic to determine ticker bias, avoiding single-metric interpretation.
Displays consolidated information in a table and chart overlays for rapid assessment.
