Quantify [Entry Model] | FractalystWhat’s the indicator’s purpose and functionality?
Quantify is a machine learning entry model designed to help traders identify high-probability setups to refine their strategies.
➙ Simply pick your bias, select your entry timeframes, and let Quantify handle the rest for you.
Can the indicator be applied to any market approach/trading strategy?
Absolutely, all trading strategies share one fundamental element: Directional Bias
Once you’ve determined the market bias using your own personal approach, whether it’s through technical analysis or fundamental analysis, select the trend direction in the Quantify user inputs.
The algorithm will then adjust its calculations to provide optimal entry levels aligned with your chosen bias. This involves analyzing historical patterns to identify setups with the highest potential expected values, ensuring your setups are aligned with the selected direction.
Can the indicator be used for different timeframes or trading styles?
Yes, regardless of the timeframe you’d like to take your entries, the indicator adapts to your trading style.
Whether you’re a swing trader, scalper, or even a position trader, the algorithm dynamically evaluates market conditions across your chosen timeframe.
How can this indicator help me to refine my trading strategy?
1. Focus on Positive Expected Value
• The indicator evaluates every setup to ensure it has a positive expected value, helping you focus only on trades that statistically favor long-term profitability.
2. Adapt to Market Conditions
• By analyzing real-time market behavior and historical patterns, the algorithm adjusts its calculations to match current conditions, keeping your strategy relevant and adaptable.
3. Eliminate Emotional Bias
• With clear probabilities, expected values, and data-driven insights, the indicator removes guesswork and helps you avoid emotional decisions that can damage your edge.
4. Optimize Entry Levels
• The indicator identifies optimal entry levels based on your selected bias and timeframes, improving robustness in your trades.
5. Enhance Risk Management
• Using tools like the Kelly Criterion, the indicator suggests optimal position sizes and risk levels, ensuring that your strategy maintains consistency and discipline.
6. Avoid Overtrading
• By highlighting only high-potential setups, the indicator keeps you focused on quality over quantity, helping you refine your strategy and avoid unnecessary losses.
How can I get started to use the indicator for my entries?
1. Set Your Market Bias
• Determine whether the market trend is Bullish or Bearish using your own approach.
• Select the corresponding bias in the indicator’s user inputs to align it with your analysis.
2. Choose Your Entry Timeframes
• Specify the timeframes you want to focus on for trade entries.
• The indicator will dynamically analyze these timeframes to provide optimal setups.
3. Let the Algorithm Analyze
• Quantify evaluates historical data and real-time price action to calculate probabilities and expected values.
• It highlights setups with the highest potential based on your selected bias and timeframes.
4. Refine Your Entries
• Use the insights provided—entry levels, probabilities, and risk calculations—to align your trades with a math-driven edge.
• Avoid overtrading by focusing only on setups with positive expected value.
5. Adapt to Market Conditions
• The indicator continuously adapts to real-time market behavior, ensuring its recommendations stay relevant and precise as conditions change.
How does the indicator calculate the current range?
The indicator calculates the current range by analyzing swing points from the very first bar on your charts to the latest available bar it identifies external liquidity levels, also known as BSLQ (buy-side liquidity levels) and SSLQ (sell-side liquidity levels).
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
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.
What does the multi-timeframe functionality offer?
You can incorporate up to 4 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.
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.
How does the Indicator Identifies Positive Expected Values?
Quantify instantly calculates whether a trade setup has the potential to generate positive expected value (EV).
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.
How can I know that the setup I'm going to trade with has a positive 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.
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.
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.
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.
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.
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.
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.
What machine learning techniques are used in Quantify?
Quantify offers two main machine learning approaches:
1. Adaptive Learning (Fixed Sample Size): The algorithm learns from the entire dataset without resampling, maintaining a stable model that adapts to the latest market conditions.
2. Bootstrap Resampling: This method creates multiple subsets of the historical data, allowing the model to train on varying sample sizes. This technique enhances the robustness of predictions by ensuring that the model is not overfitting to a single dataset.
How does machine learning affect the expected value calculations in Quantify?
Machine learning plays a key role in improving the accuracy of expected value (EV) calculations. By analyzing historical price action, liquidity hits, and market bias patterns, the model continuously adjusts its understanding of risk and reward, allowing the expected value to reflect the most likely market movements. This results in more precise EV predictions, helping traders focus on setups that maximize profitability.
What is the Kelly Criterion, and how does it work in Quantify?
The Kelly Criterion is a mathematical formula used to determine the optimal position size for each trade, maximizing long-term growth while minimizing the risk of large drawdowns. It calculates the percentage of your portfolio to risk on a trade based on the probability of winning and the expected payoff.
Quantify integrates this with user-defined inputs to dynamically calculate the most effective position size in percentage, aligning with the trader’s risk tolerance and desired exposure.
How does Quantify use the Kelly Criterion in practice?
Quantify uses the Kelly Criterion to optimize position sizing based on the following factors:
1. Confidence Level: The model assesses the confidence level in the trade setup based on historical data and sample size. A higher confidence level increases the suggested position size because the trade has a higher probability of success.
2. Max Allowed Drawdown (User-Defined): Traders can set their preferred maximum allowed drawdown, which dictates how much loss is acceptable before reducing position size or stopping trading. Quantify uses this input to ensure that risk exposure aligns with the trader’s risk tolerance.
3. Probabilities: Quantify calculates the probabilities of success for each trade setup. The higher the probability of a successful trade (based on historical price action and liquidity levels), the larger the position size suggested by the Kelly Criterion.
What is a trailing stoploss, and how does it work in Quantify?
A trailing stoploss is a dynamic risk management tool that moves with the price as the market trend continues in the trader’s favor. Unlike a fixed take profit, which stays at a set level, the trailing stoploss automatically adjusts itself as the market moves, locking in profits as the price advances.
In Quantify, the trailing stoploss is enhanced by incorporating market structure liquidity levels (explain above). This ensures that the stoploss adjusts intelligently based on key price levels, allowing the trader to stay in the trade as long as the trend remains intact, while also protecting profits if the market reverses.
Why would a trader prefer a trailing stoploss based on liquidity levels instead of a fixed take-profit level?
Traders who use trailing stoplosses based on liquidity levels prefer this method because:
1. Market-Driven Flexibility: The stoploss follows the market structure rather than being static at a pre-defined level. This means the stoploss is less likely to be hit by small market fluctuations or false reversals. The stoploss remains adaptive, moving as the market moves.
2. Riding the Trend: Traders can capture more profit during a sustained trend because the trailing stop will adjust only when the trend starts to reverse significantly, based on key liquidity levels. This allows them to hold positions longer without prematurely locking in profits.
3. Avoiding Premature Exits: Fixed stoploss levels may exit a trade too early in volatile markets, while liquidity-based trailing stoploss levels respect the natural flow of price action, preventing the trader from exiting too soon during pullbacks or minor retracements.
🎲 Becoming the House: Gaining an Edge Over the Market
In American roulette, the casino has a 5.26% edge due to the presence of the 0 and 00 pockets. On even-money bets, players face a 47.37% chance of winning, while true 50/50 odds would require a 50% chance. This edge—the gap between the payout odds and the true probabilities—ensures that, statistically, the casino will always win over time, even if individual players win occasionally.
From a Trader’s Perspective
In trading, your edge comes from identifying and executing setups with a positive expected value (EV). For example:
• If you identify a setup with a 55.48% chance of winning and a 1:1 risk-to-reward (RR) ratio, your trade has a statistical advantage over a neutral (50/50) probability.
This edge works in your favor when applied consistently across a series of trades, just as the casino’s edge ensures profitability across thousands of spins.
🎰 Applying the Concept to Trading
Like casinos leverage their mathematical edge in games of chance, you can achieve long-term success in trading by focusing on setups with positive EV and managing your trades systematically. Here’s how:
1. Probability Advantage: Prioritize trades where the probability of success (win rate) exceeds the breakeven rate for your chosen risk-to-reward ratio.
• Example: With a 1:1 RR, you need a win rate above 50% to achieve positive EV.
2. Risk-to-Reward Ratio (RR): Even with a win rate below 50%, you can gain an edge by increasing your RR (e.g., a 40% win rate with a 2:1 RR still has positive EV).
3. Consistency and Discipline: Just as casinos profit by sticking to their mathematical advantage over thousands of spins, traders must rely on their edge across many trades, avoiding emotional decisions or overleveraging.
By targeting favorable probabilities and managing trades effectively, you “become the house” in your trading. This approach allows you to leverage statistical advantages to enhance your overall performance and achieve sustainable profitability.
What Makes the Quantify Indicator Original?
1. Data-Driven Edge
Unlike traditional indicators that rely on static formulas, Quantify leverages probability-based analysis and machine learning. It calculates expected value (EV) and confidence levels to help traders identify setups with a true statistical edge.
2. Integration of Market Structure
Quantify uses market structure liquidity levels to dynamically adapt. It identifies key zones like swing highs/lows and liquidity traps, enabling users to align entries and exits with where the market is most likely to react. This bridges the gap between price action analysis and quantitative trading.
3. Sophisticated Risk Management
The Kelly Criterion implementation is unique. Quantify allows traders to input their maximum allowed drawdown, dynamically adjusting risk exposure to maintain optimal position sizing. This ensures risk is scientifically controlled while maximizing potential growth.
4. Multi-Timeframe and Liquidity-Based Trailing Stops
The indicator doesn’t just suggest fixed profit-taking levels. It offers market structure-based trailing stop-loss functionality, letting traders ride trends as long as liquidity and probabilities favor the position, which is rare in most tools.
5. Customizable Bias and Adaptive Learning
• Directional Bias: Traders can set a bullish or bearish bias, and the indicator recalculates probabilities to align with the trader’s market outlook.
• Adaptive Learning: The machine learning model adapts to changes in data (via resampling or bootstrap methods), ensuring that predictions stay relevant in evolving markets.
6. Positive EV Focus
The focus on positive EV setups differentiates it from reactive indicators. It shifts trading from chasing signals to acting on setups that statistically favor profitability, akin to how professional quant funds operate.
7. User Empowerment
Through features like customizable timeframes, real-time probability updates, and visualization tools, Quantify empowers users to make data-informed decisions.
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.
Cerca negli script per "Buy sell"
IBD Market School [tradeviZion]IBD Market School Indicator: User Guide and Settings Reference
A comprehensive guide to configuring and using the IBD Market School indicator for TradingView
Introduction
The IBD Market School indicator is an advanced market analysis tool that implements Investor's Business Daily's methodology for identifying optimal trading opportunities. By tracking key market indexes and analyzing price and volume patterns, it provides actionable buy and sell signals based on the CANSLIM investment system.
The indicator offers a comprehensive set of features:
Complete Signal System
10 primary buy signals (B1-B10)
Additional buy-side indicators (HH - Higher High, ED - Expired Days)
14 sell signals (S1-S14)
Index Rise 6% signal for Distribution/Stalling Day expiration
Market Health Tracking
Distribution Day detection and counting
Stalling Day identification and validation
Automatic 25-day signal expiration
6% price rise monitoring for signal clearing
Market Condition Analysis
Rally Day detection (major and minor)
Follow-Through Day confirmation
Dynamic market exposure management (0-100%)
Power Trend analysis with multiple states
Risk Management Features
Circuit Breaker system for major declines
Buy Switch system for exposure control
Customizable volume analysis (Nasdaq/S&P 500)
Distribution day clustering detection
Visual Analysis Tools
IBD-style candle display option
Power Trend state visualization
Signal line drawing system
Customizable tooltips and alerts
Proper configuration of the indicator's settings is essential as it affects:
Signal detection sensitivity and accuracy
Market exposure calculations and adjustments
Volume confirmation requirements
Visual display of market conditions and signals
Alert system behavior and notifications
This guide provides detailed explanations of each component and setting to help you optimize the indicator for your trading strategy while maintaining adherence to IBD's proven methodology.
📊 General Settings
This section controls the indicator's tooltip display, alert behavior, and candle visualization preferences.
The General Settings panel allows you to configure tooltip modes, alert types, and candle appearance.
Tooltip Display Mode
Select how detailed the tooltips should be when hovering over signals and indicators:
The three tooltip display modes: Simple (left), Detailed (center), and Market Analysis (right).
Simple Mode
Displays concise signal definitions
Shows basic entry and exit conditions
Focuses on essential trigger points
Perfect for experienced traders
Detailed Mode
Provides in-depth explanations of each buy/sell signal
Shows complete validation criteria and conditions
Includes volume requirements and percentage thresholds
Explains the context and significance of each signal
Market Analysis Mode
Focuses on broad market health metrics
Shows market exposure percentage and trend
Displays buy switch and power trend status
Tracks distribution days and signal buffers
Note: Choose the tooltip mode based on your needs:
- Simple: Provides quick, essential information on signals for fast decision-making
- Detailed: Breaks down conditions for each buy/sell signal, ideal for users wanting in-depth explanations
- Market Analysis: Focuses on broad market health, including exposure, buy switch, distribution days, and trends
Market Exposure Alert System
The indicator alerts you when market exposure levels change, helping you adjust your positions accordingly.
Alert Types
On Close (Recommended)
Triggers only after bar closes
More reliable signals as price action is confirmed
Real-Time
Triggers immediately when conditions are met
Note: Signals may change by bar close
Setting Up Alerts
Click the "..." (More) button on the indicator label "$tradeviZion - IBD Market School"
Select "Add alert on $tradeviZion - IBD Market School..."
In the Create Alert dialog:
Settings tab:
Verify the symbol and timeframe (e.g., NASDAQ:IXIC , 1D)
Condition: Select "$tradeviZion - IBD Market School"
Alert function: Choose "Any alert() function call"
Expiration: Set to "Open-ended alert"
Alert name will auto-populate
Switch to Notifications tab:
Enable "Notify in app" for push notifications in the mobile app
Enable "Show toast notification" for on-screen alerts
Enable "Play sound" and customize duration (e.g., Thin, 10 seconds)
Optional settings:
Send email (requires profile settings configuration)
Webhook URL for POST requests
Send plain text for alternative email format
Click Create to activate the alert
Alert Messages
Message format: "Market exposure change for : Market exposure from % to %"
Example: "Market exposure change for NASDAQ:IXIC : 📈 Market exposure reduced from 100% to 75%"
📈 Arrow indicates exposure increase
📉 Arrow indicates exposure decrease
Messages include previous and new exposure percentages
Note: These alerts specifically track changes in market exposure levels, helping you stay aligned with market conditions. They are essential for maintaining proper position sizing and risk management.
Chart Style Options
IBD-style Candles
Enable to match Investor's Business Daily chart style
For MarketSmith style setup, right-click on chart and go to Settings
Navigate to Symbol tab
Uncheck Body, Borders, and Wicks
Press Alt+R to restore chart view if zoom affects display
To revert to original style, right-click on chart and go to Settings
Navigate to Symbol tab
Check Body, Borders, and Wicks
Color Based on Previous Close
Colors bars based on close vs. previous close
When enabled, determines colors by comparing current close to previous close
Use blue color for closes above previous
Use pink color for closes below previous
📈 Market Exposure Table Settings
Configure how the market exposure information is displayed on your chart.
The Market Exposure Table Settings panel allows you to customize the appearance and layout of the market status display.
Layout Options
• Hide Table
Completely hides the market status display
• Basic (2 Columns)
Shows main indicators in two columns
Compact view without signal list
Ideal for minimalist chart view
• Detailed (2 Columns with Signals)
Displays main indicators plus signal panel
Shows Buy and Sell signals in separate columns
Provides comprehensive market overview
• Stacked (1 Column, Compact)
Vertical layout with single column
Most space-efficient option
Ideal for smaller chart windows
Color Settings
Background : Dark gray background for the table
Text : White text for general information
Buy Signal : Green highlighting for buy signals
Sell Signal : Red highlighting for sell signals
Additional Options
Show Trading Wisdom: Enable rotating trading messages
Displays empowering trading messages
Helps reinforce disciplined trading practices
Updates every 5 bars with new wisdom
Includes tooltips with comprehensive trading guidance
Customizable yellow text color for messages
💹 Buy Signals Settings
This section controls the visibility and behavior of buy signals and related indicators.
The Buy Signals Settings panel allows you to configure signal visibility, volatility calculations, and visual appearance of buy signals.
Signal Display Options
Buy Signals Display : Choose display mode
Show Selected Signals
Hide All
Compact Signals
Individual Signal Toggles
Primary Buy Signals (B1-B10)
Special Indicators (HH, ED)
Understanding Buy Signals
B1: Follow-Through Day (FTD)
Buy on the initial FTD with volume higher than the previous day. You may use an FTD from an index other than the NASDAQ:IXIC , but if you do, you must stay within that index for future Buy and Sell Signals.
B2: Additional Follow-Through
Buy on all additional follow-through days within 25 days from a rally day that closes above the low of the initial follow-through day.
B3: Low Above EMA21
Buy on an up or flat day when the intraday low is at or above the EMA21. Note: Once you have a B3 or B4, you can't have another until it is reset by an S5.
Special Buy Indicators
HH: Higher High (No FTD after Rally)
Triggers when current close exceeds highest point since last confirmed rally. Must not have a Follow-Through Day (FTD). Buy switch turns on when close exceeds last rally's high and turns off if close drops below that high.
ED: Expired Days
Tracks Distribution and Stalling days that have aged out. Days are tracked for a specific trading period and expired days are removed from the count.
Index Rise Settings
Index Rise 6% from DD & SD
Toggle to enable/disable monitoring of price rises above Distribution and Stalling Days. Default value of 6% (adjustable) for monitoring rises above these days.
Understanding Index Rise
This feature tracks significant market recoveries by monitoring when the index rises substantially above Distribution Days (DD) or Stalling Days (SD). When the index rises 6% or more above the closing price of any DD or SD, it indicates a strong market recovery. This is an important signal because it helps identify when the market has shown enough strength to potentially overcome previous distribution periods. When triggered, this signal reduces the distribution day count, effectively acknowledging that the previous distribution pattern may no longer be as relevant due to the market's strong recovery.
B1 Signal Configuration
Volatility Settings
B1 Auto Volatility: Calculates FTD price requirement based on 200-day volatility
B1 Manual Volatility: Fixed value (default 1.245) when auto is disabled
Visual Settings
Label Size: Small (options: Tiny, Small, Normal, Large)
Signal Color: Light green background for buy signals
Text Color: Customizable text color for signal labels
Important Notes
Signal visibility affects both chart display and calculations
Auto volatility is recommended for most users
Manual volatility should only be adjusted by experienced users
Visual settings apply to all enabled buy signals
Confirmation Rules
Price Requirements
Follow-Through Day (B1) thresholds based on 200-day volatility:
Below 0.4% volatility: 0.7% gain required
0.4% to 0.55% volatility: 0.85% gain required
0.55% to 1% volatility: 1% gain required
Above 1% volatility: 1.245% gain required
EMA Breaks (S5/S6): 0.2% threshold below 21 EMA
Downside Reversal (B9): 1.75% high-to-low spread required
Volume Requirements
Distribution Days: Volume > previous day, with -0.20% or more price decline
Stalling Days: Volume ≥ 95% of previous day
Follow-Through Days (B1/B2): Volume > previous day
Accumulation Days (B7): Volume > previous day, close in upper 25% range
Sell Signals Settings
This section controls the visibility and behavior of sell signals and market weakness indicators.
The Sell Signals Settings panel allows you to configure signal visibility and visual appearance of sell signals and market health indicators.
Signal Display Options
Sell Signals Display: Dropdown with options to control signal visibility:
Show Selected Signals
Hide All
Compact Signals
Individual Signal Toggles
Primary Sell Signals: S1-S14 and CB (Circuit Breaker)
Market Health Indicators:
Distribution Days (DD): Indicative of institutional selling. Occurs when:
Market closes down by at least 0.2%
Volume greater than or equal to prior day
Tracked for 25 trading days
Stalling Days (SD): Sign of heavy volume without upside progress. Occurs when:
Market at/near new highs
Closes with small gain (0% to 0.4%)
High volume in lower half of day's range
Understanding Sell Signals
S1: Follow-Through Day Undercut
Sell if the index closes below the low of the initial follow-through day.
S2: Failed Rally Attempt
Sell if the index undercuts the major low of the rally attempt. Market exposure is reduced to zero and the Buy Switch is turned off.
S2ml: Minor Low Undercut
Minor Low undercut of rally attempt. Market exposure is reduced by two. This does not turn off the Buy Switch.
S3: Full Distribution Minus One
Sell after the distribution count increases to one less than the full distribution count.
S4: Full Distribution
Sell after reaching the full distribution count.
S5: Break Below EMA21
Sell if the index closes 0.2% or more below the EMA21. Note: Once you have an S5, S6, or S7, you can't have another until it is reset by a B3.
S6: Overdue Break Below EMA21
Sell if the index closes down 0.2% or more below the EMA21 after 30 days have passed since the last B3 without triggering an S5.
S7: Trending Below EMA21
Sell after S5 on the 5th consecutive day that the high is below the EMA21 and a down day.
S8: Living Below EMA21
Sell after S5 on the 10th and every 5th consecutive day after that (15th, 20th, 25th, etc.) that the high is below the EMA21.
S9: Break Below 50-Day MA
Sell if the index closes below the 50-Day Moving Average. Triggers only if a B6 signal was previously printed.
S10: Bad Break
Sell if the close is down 2.25% or greater in the bottom 25% of the range. Close below the MA50 or intraday high below EMA21.
S11: Downside Reversal
Sell after a Downside Reversal Day, which occurs with:
New High within 13 weeks
Close in bottom quartile of range
Close Down for the day
Spread of 1.75% or greater
S12: Lower Low
Sell after closing below the last marked low as defined by MarketSmith.
S13: Distribution Cluster
Distribution and stalling days increase to four up to eight days within a rolling eight-day period.
S14: Break Below Higher High
Sell after closing below the last marked high that printed a B8 (Higher High).
CB: Circuit Breaker
Triggers when the index drops 10% from the highest high since the FTD (B1) and falls 5% or more below the 50-Day MA intraday.
Buy/Sell Undercut Lines
This section controls the visibility and appearance of important price level lines on your chart.
The Buy/Sell Undercut Lines panel allows you to configure which signal lines are displayed and their visual appearance.
Line Visibility
Buy Signal Lines :
B8 Line: First high above the last pivot high
HH Line: Close above the prior high since last confirmed rally without FTD
Sell Signal Lines :
S1 Line: Close below the initial follow-through day
S2 Line: Undercut of major low
S2ml Line: Minor low undercut
S12 Line: Close below last marked low
S14 Line: Close below last marked high
Line Appearance
Color Settings :
B8: Green (Buy signal)
HH: Green (Buy signal)
S1: Red (Sell signal)
S2: Red (Sell signal)
S2ml: Orange (Modified sell signal)
S12: Purple (Pivot low signal)
S14: Blue (Close below pivot)
Line Style : Dashed (options: solid, dotted, dashed)
Line Width : 1 (adjustable)
📈 Rally Signal Settings
The Rally Signal Settings panel allows you to configure Rally Day detection and visualization.
Rally Day:
Toggle to enable/disable Rally Day signals. These mark the beginning of potential market uptrends when the market closes higher than the previous day, following a significant decline.
Visual Settings:
Label Size: small (options: tiny, small, normal, large)
Background Color: Customizable background for Rally Day labels
Text Color: Customizable text color for Rally Day labels
Distribution Day Settings:
Use Manual FullDDcount: Option to manually set the minimum combined number of Distribution and Stalling Days
Count Value: Default is 6 days (adjustable when manual mode is enabled)
This setting determines how many Distribution/Stalling Days are required to trigger a new rally
Pivot Point Settings
The Pivot Point Settings panel allows you to configure the display of high/low points and percentage changes between pivots.
Display Options
Display H/L Points
Toggle to show or hide pivot levels (high and low points) on the chart
%Change
Toggle to display percentage changes between pivot points
Color Settings
Positive % Color : Blue (customizable) - Used for positive percentage changes
Negative % Color : Pink (customizable) - Used for negative percentage changes
Precision Settings
Decimal Places: Set the number of decimal places (default: 2) for:
Pivot point price levels
Percentage change calculations
⚡ Power Trend Settings
This section controls how Power Trend information is visualized on your chart.
The Power Trend Settings panel allows you to configure how trend states are displayed and customize their visual appearance.
Example of Power Trend visualization showing both boxes (green background) and trend lines. The boxes indicate trend state while lines show trend transitions.
Display Options
Show Power Trend Line : Display trend states as lines on the chart
Show Boxes : Display trend states as boxes
Show Background : Display trend states as background colors
Power Trend Color Settings
On : Light green - Full power trend active
Resume : Light green - Power trend resuming
Off : Gray - Power trend inactive
With Floor : Yellow - Under pressure with support
No Floor : Orange - Under pressure without support
Power Trend Line Settings
Line Width : Set line thickness (default: 1)
Line Offset : Adjust line position (default: 5)
Power Trend Box Settings
Text Align : Set text alignment (left, center, right)
Text Position : Set vertical position (top, middle, bottom)
Size : Set box size (tiny, small, normal, large)
Color : Customize box background color
Power Trend States
Full Power (On)
Represents strongest market condition with maximum exposure of +7
Base maximum exposure of 5 plus 2 buffer signals
Buffer allows maintaining high exposure during normal pullbacks
2 sell signals reduce count from 7 to 5 without affecting base
Indicates very healthy market that can absorb normal profit-taking
Resume State
Shows successful market recovery after pressure period
Requires 10+ days without S2 minor, S9, or S13 signals
Must reestablish all initial strength conditions
Maintains same benefits as Full Power (+7 max, +2 floor)
Shows as light green in visualization
Under Pressure With Floor
First warning stage triggered by S2 minor or S13 signals
Reduces maximum exposure to +5
Maintains minimal protection with +1 floor
Suggests defensive positioning while keeping core positions
Shows as yellow in visualization
Under Pressure No Floor
Severe warning stage triggered by S9 signal
Maintains +5 maximum exposure but removes floor protection
Indicates higher risk of continued market decline
Requires careful position management
Shows as orange in visualization
Power Trend Off
Triggered by EMA/MA crossdowns with declining price
Can also be activated by S2 or Circuit Breaker signals
Maximum exposure limited to +5 with no buffer signals
Suggests focus on capital preservation
Shows as gray in visualization
Power Trend System Rules
Each state enforces strict exposure limits with automatic floor and ceiling adjustments
Power Trend can activate Buy Switch when entering Full Power state
Restraint Rule limits exposure to +2 until significant progress or B4 signal when starting from zero exposure
State transitions immediately update exposure limits and Buy Switch status
Distribution Cluster (S13) can move Power Trend to Under Pressure With Floor state
System maintains exposure floors to prevent panic selling while allowing flexibility below floor levels
Weekly SMAs Settings
The Weekly SMAs Settings panel allows you to configure the weekly moving averages display and calculations.
SMA 1: 10 periods (enabled), Red
Length: 10
Optional EMA toggle
Width: 1
SMA 2: 20 periods, Pink
Length: 20
Optional EMA toggle
Width: 1
SMA 3: 30 periods, Green
Length: 30
Optional EMA toggle
Width: 1
SMA 4: 40 periods (enabled), White
Length: 40
Optional EMA toggle
Width: 1
SMAs Settings
The SMAs Settings panel allows you to configure the daily moving averages display and calculations.
MA 1: 10 periods, Optional EMA, Pink
Length: 10
Optional EMA toggle
Width: 1
MA 2: 21 periods (enabled), EMA, Green
Length: 21
EMA enabled
Width: 1
MA 3: 50 periods (enabled), SMA, Red
Length: 50
EMA disabled
Width: 1
MA 4: 200 periods (enabled), SMA, White
Length: 200
EMA disabled
Width: 1
Volume Settings (NASDAQ & S&P 500)
This section controls volume data sources for market analysis. Proper volume settings are crucial for confirming market signals and analyzing institutional participation.
The Volume Settings panel allows you to configure volume data sources and custom ticker options for accurate market analysis.
Important Volume Source Information
TradingView's default volume data differs from IBD's Yahoo Finance data source
Current default settings (IXIC and TVOL) provide the most accurate results compared to IBD signals
Volume differences between TradingView and IBD are expected due to different data sources
Custom ticker options are provided for future compatibility with Yahoo Finance volume data
Volume Configuration
Nasdaq Volume Settings
Default Source: NASDAQ:IXIC (Nasdaq Composite Index)
Custom Ticker Option: USI:TVOL.NQ
Enable custom source by checking "Use Custom Nasdaq Ticker?"
Note: Custom ticker must be price-based for accurate volume analysis
S&P 500 Volume Settings
Default Source: TVOL (S&P 500 Total Volume)
Custom Ticker Option: USI:TVOL.NY
Enable custom source by checking "Use Custom S&P 500 Ticker?"
Note: Custom ticker must be price-based for accurate volume analysis
Volume Analysis Impact
Used for Distribution Day confirmation
Required for Follow-Through Day validation
Helps identify institutional buying/selling
Critical for Stalling Day detection
Recommendations
Keep default settings for most accurate current results
Only use custom tickers if you have confirmed price-based volume sources
Be aware that volume-based signals might slightly differ from IBD due to data source differences
Future updates may add Yahoo Finance volume compatibility
Market Status Table
The Market Status Table provides a real-time visual overview of current market conditions and signal status. Users can customize the table's appearance through the Market Exposure Table Settings.
The Market Status Table can be displayed in three different layouts: Basic (left), Detailed (center), and Stacked (right).
Layout Options
Hide Table
Completely hides the market status display
Basic (2 Columns)
Shows main indicators in two columns
Compact view without signal list
Ideal for minimalist chart view
Detailed (2 Columns with Signals)
Displays main indicators plus signal panel
Shows Buy and Sell signals in separate columns
Provides comprehensive market overview
Stacked (1 Column, Compact)
Vertical layout with single column
Most space-efficient option
Ideal for smaller chart windows
Main Indicators
• Market Exposure
Displayed as colored dots: 🟠 🟢 🟢 🟢 🟢
Shows current exposure level (0-100%)
(⚪ ⚪ ⚪ ⚪ ⚪): 0% exposure
(🟠 ⚪ ⚪ ⚪ ⚪): 30% exposure
(🟠 🟡 ⚪ ⚪ ⚪): 55% exposure
(🟠 🟡 🟢 ⚪ ⚪): 75% exposure
(🟠 🟡 🟢 🟢 ⚪): 90% exposure
(🟠 🟡 🟢 🟢 🟢): 100% exposure
• Key Status Indicators
Buy Switch: Shows ON (forced) or OFF status
Power Trend: Displays current state with floor and maximum values
Restraint Rule: Indicates ON or OFF status
Count / Signals Buffer: Shows current count and available buffer (e.g., "7 / (+0)")
Dist. Days / Cluster: Displays distribution day count and cluster status (e.g., "1 / 0")
• Signal Panel (Available in Detailed layout)
Lists all active Buy and Sell signals
Highlighted signals indicate currently active conditions
Green highlighting shows confirmed signals
Provides quick reference for all available signals
Status Indicator Colors
🟢 indicates "ON" or positive conditions (e.g., Buy Switch ON, Power Trend Full Power)
🟡 indicates "Under Pressure" or caution (e.g., Power Trend Under Pressure With Floor)
🟠 indicates "Under Pressure No Floor" or increased caution
🔴 indicates "OFF" or negative conditions (e.g., Buy Switch OFF, Power Trend OFF)
• Signal Colors
Green background for buy signals
Red background for sell signals
Black text on signal backgrounds for better visibility
• Number Formats
Count / Buffer signals shown as "7 / (+2)"
Distribution Days / Cluster count shown as "1 / 0"
Exposure percentage shown with dots (e.g., "90%")
Trading Wisdom - Market Risk Management
"The key to successful trading is not just knowing when to enter, but managing your exposure based on market health. Always check two critical indicators before any trade:
1. Market Exposure Levels
100% (5 dots): Full positions in strong market
90% (4 dots): Slightly reduced positions
75% (3 dots): Moderate positions, more cautious
55% (2 dots): Half positions only
30% (1 dot): Small positions only
0% (0 dots): Stay in cash
2. Distribution Days Risk Levels
1-2 Days: Normal market behavior
3 Days: Caution - reduce new positions
4+ Days: High risk - defensive positioning
5-6 Days: Consider moving to cash
Remember: It's better to miss an opportunity than to catch a falling market. Let the Market Exposure Table be your guide to smart position sizing."
Pro Tip: Make checking these two indicators part of your daily routine. They're your first line of defense against major drawdowns.
Conclusion
The IBD Market School indicator brings William O'Neil's proven methodology to TradingView, providing a comprehensive system for market analysis and risk management. This tool automates the complex task of tracking market signals while maintaining strict adherence to IBD's time-tested principles.
Key Features
Follows IBD's core methodology for identifying market direction
Automates tracking of Distribution Days, Follow-Through Days, and market signals
Provides clear market exposure guidance through the Power Trend system
Helps maintain discipline through systematic Buy Switch control
Offers multiple layers of risk management
Best Practices
Always check Market Exposure and Distribution Day count before making trades
Let the Buy Switch guide your market participation
Follow Power Trend states for proper position sizing
Use the default volume settings for most accurate signal generation
Monitor all confirmation rules for proper signal validation
Remember: This indicator is designed to replicate IBD's methodology as closely as possible within TradingView's environment. While it automates signal detection and exposure management, successful trading still requires discipline, patience, and strict adherence to risk management principles.
"The goal is not to be right about the market - it's to make money by following the market's signals and managing risk."
MTFHTS with Moving Average Ribbon and Buy/Sell Signals 3.2Multi-Timeframe Moving Average Strategy with Buy and Sell Signals
Purpose
This strategy is designed to provide clear, data-driven buy and sell signals based on moving average crossovers across multiple timeframes. It aims to help traders identify potential trend reversals and entry/exit points using a systematic approach.
How it Works
Moving Averages Across Multiple Timeframes:
Five customizable moving averages (MA №1 to MA №5) are calculated using different lengths and types, including SMA, EMA, WMA, and VWMA, to suit various trading styles.
The MAs are plotted on different timeframes, allowing traders to visualize trend alignment and identify market momentum across short, medium, and long terms.
Signals for Buying and Selling:
Buy Signals: When the shorter-term MA (MA №1) crosses above a longer-term MA (MA №2 or MA №3), the strategy triggers a buy signal, indicating potential upward momentum.
Sell Signals: When MA №1 crosses below a longer-term MA (MA №2 or MA №3), a sell signal is triggered, suggesting potential downward movement.
Visual Aids and Alerts:
The strategy uses color fills between MAs to indicate bullish (green) or bearish (red) trends, helping traders assess market conditions at a glance.
Alerts for buy and sell signals keep traders notified in real-time, helping to avoid missed opportunities.
Important Note
This strategy is purely educational and does not constitute investment advice. It serves as a tool to help traders understand how multi-timeframe moving averages and crossovers can be used in technical analysis. As with any trading strategy, we recommend testing in a simulated environment and exercising caution.
Custom 4 Moving Averages with Styles & ThresholdsThis Pine Script indicator is designed to provide traders with a unique method of analyzing price action through four customizable moving averages, alongside buy and sell threshold detection. The script is fully original and adds value by allowing traders to configure and visualize multiple MAs with different smoothing options, and by detecting critical buy/sell moments based on the interaction between price and the moving averages.
What the Script Does:
Custom Moving Averages: The script plots four distinct moving averages (MA1, MA2, MA3, and MA4) on the chart. Each MA can be configured for length, offset, and optional smoothing to match different trading strategies. This flexibility allows traders to tailor the script for various timeframes, trend detection, and market conditions.
Buy (BT) and Sell (ST) Threshold Detection: The indicator identifies critical points for buying and selling:
Buy Threshold (BT): The script identifies potential buy points when the current candle's low is above the MA2 from the previous candle, suggesting potential upward momentum.
Sell Threshold (ST): It detects potential sell points when the current MA2 falls below the previous candle’s low, indicating possible downward momentum. These thresholds are clearly marked on the chart with green arrows for BT (Buy) and red arrows for ST (Sell).
Horizontal Threshold Lines: Horizontal lines are drawn when BT or ST conditions are met. These lines help traders visualize support and resistance levels, providing clarity in decision-making. The length of these lines is customizable, allowing users to control how long they remain visible on the chart.
Dynamic Cleanup of Old Lines: To keep the chart clean and reduce clutter, the script automatically removes old BT and ST lines after a set period, ensuring that traders can focus on the most relevant data.
Underlying Concepts:
Moving Averages: Moving averages are a fundamental tool in technical analysis for identifying trends. This script uses various moving averages (calculated from high, low, close, and HL2) and allows for smoothing to adjust the sensitivity to price movements. Traders can apply this flexibility to multiple trading styles, from scalping to swing trading.
Threshold Conditions: The buy and sell conditions in this script are based on simple but effective price action patterns, where the interaction between price and MA2 determines entry or exit points. This approach is useful in trend-following strategies, where traders aim to capitalize on momentum shifts.
How to Use the Script:
Configure Moving Averages: Start by adjusting the lengths, offsets, and smoothing options for each moving average. For short-term trading, shorter MA lengths might be more suitable, while longer MAs can help identify broader trends.
Observe Buy and Sell Signals: Look for green arrows (BT) as potential buy signals and red arrows (ST) as potential sell signals. These signals appear when certain conditions between price and MA2 are met, giving traders clear visual cues for entries and exits.
Support/Resistance Levels: Pay attention to the horizontal lines drawn when BT or ST conditions occur. These lines can act as support or resistance levels, helping you identify potential price targets or stop-loss points.
Why This Script is Useful:
This indicator combines the power of multiple moving averages with customizable features, making it versatile for different market conditions. By adding clear buy and sell signals based on a logical threshold system, the script helps traders make informed decisions with minimal guesswork. Unlike many basic indicators, this one provides flexibility and original insight into market dynamics, making it a valuable tool for both beginner and experienced traders.
Delta Dashboard with Custom Candle Count "Delta Dashboard with Custom Candle Count," creates a dynamic table on a chart that shows Buying Delta, Selling Delta, and Cumulative Delta for a user-defined number of candles. It is designed to give traders an easy-to-read visual dashboard for analyzing volume-based deltas, potentially helping to identify bullish or bearish trends.
Script Overview:
Custom Timeframe Input: The user has the option to enable a custom lower timeframe (useCustomTimeframeInput). If enabled, the script uses the lowerTimeframeInput (default is 1 minute) to request data from a lower timeframe. If not enabled, the script automatically selects a timeframe based on the chart’s current settings.
Candle Count Input: The script allows the user to specify the number of candles (numCandlesInput) for which they want to track volume deltas. This input determines how many columns are included in the delta dashboard.
Proportional Buy/Sell Volume Calculation: The script calculates the buy and sell volume for each candle. The buy volume is based on how much the price has moved up from the low, while the sell volume is based on how much the price has moved down from the high. The total volume is then split between buyers and sellers for a more accurate volume-based analysis.
Lower Timeframe Volume Data: The script requests volume data from the lower timeframe and uses it to calculate the positive (buying) and negative (selling) volume arrays over the specified number of candles.
Cumulative Delta: The cumulative delta is calculated as the difference between buying volume (positiveVolume) and selling volume (negativeVolume). The delta is accumulated over the day, and it resets at the start of each new day.
Dashboard Creation: The script creates a table (deltaTable) that is displayed on the chart, showing the following for each candle:
Buying Delta: The volume of buy orders.
Selling Delta: The volume of sell orders.
Cumulative Delta: The net difference between buying and selling volumes over the course of the day.
Dynamic Table Updating: The table updates with each new candle. The current candle's data is dynamically added to the table, and older candles shift to the left. When the maximum number of candles (as defined by numCandlesInput) is reached, the table wraps around, continuously updating with the latest data.
Abnormal Volume Detection: The script highlights candles where abnormal volume is detected. If the buying or selling volume for a particular candle is greater than twice the 50-period moving average volume, it highlights the respective cells in the table with shaded background colors:
Green: Indicates abnormal buying volume.
Red: Indicates abnormal selling volume.
Blue: Highlights abnormal cumulative delta spikes.
Daily Reset: The script automatically clears the table at the start of each new day, ensuring that the dashboard only reflects data from the current trading day.
How to Use:
Adding to Chart: To use this script, apply it to your TradingView chart. The dashboard will automatically appear in the upper left corner of the chart, showing volume-based delta data for each candle.
Customizing Timeframe: If you want to use a different timeframe for delta calculation (e.g., 1-second or 1-minute chart data), enable the Use Custom Timeframe option and specify the desired timeframe in the input section.
Adjusting the Number of Candles: You can adjust the number of candles shown in the delta dashboard by changing the Number of Candles input. The script will track the volume deltas for this number of candles, displaying them in the dashboard.
Interpreting the Dashboard:
Buying Delta: A higher positive value indicates stronger buying pressure in that candle.
Selling Delta: A higher negative value indicates stronger selling pressure in that candle.
Cumulative Delta: This value gives the net result of buying versus selling pressure across the trading day. Positive cumulative delta suggests buying dominance, while negative cumulative delta suggests selling dominance.
Abnormal Volume Detection: When abnormal volume spikes occur, pay attention to highlighted rows:
Green cells show that buying volume is unusually high.
Red cells indicate unusually high selling volume.
Blue cells mark large spikes in cumulative delta.
This script can be particularly useful for traders who want to gauge market sentiment based on volume distribution and detect abnormal trading activity, which could precede significant price movements.
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))
-----
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
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
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.
----
🎲 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.
----
🎰 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.
----
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.
----
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.
Uptrick: Volume-Weighted EMA Signal### **Uptrick: Volume-Weighted EMA Signal (UVES) Indicator - Comprehensive Description**
#### **Overview**
The **Uptrick: Volume-Weighted EMA Signal (UVES)** is an advanced, multifaceted trading indicator meticulously designed to provide traders with a holistic view of market trends by integrating Exponential Moving Averages (EMA) with volume analysis. This indicator not only identifies the direction of market trends through dynamic EMAs but also evaluates the underlying strength of these trends using real-time volume data. UVES is a versatile tool suitable for various trading styles and markets, offering a high degree of customization to meet the specific needs of individual traders.
#### **Purpose**
The UVES indicator aims to enhance traditional trend-following strategies by incorporating a critical yet often overlooked component: volume. Volume is a powerful indicator of market strength, providing insights into the conviction behind price movements. By merging EMA-based trend signals with detailed volume analysis, UVES offers a more nuanced and reliable approach to identifying trading opportunities. This dual-layer analysis allows traders to differentiate between strong trends supported by significant volume and weaker trends that may be prone to reversals.
#### **Key Features and Functions**
1. **Dynamic Exponential Moving Average (EMA):**
- The core of the UVES indicator is its dynamic EMA, calculated over a customizable period. The EMA is a widely used technical indicator that smooths price data to identify the underlying trend. In UVES, the EMA is dynamically colored—green when the current EMA value is above the previous value, indicating an uptrend, and red when below, signaling a downtrend. This visual cue helps traders quickly assess the trend direction without manually calculating or interpreting raw data.
2. **Comprehensive Moving Average Customization:**
- While the EMA is the default moving average in UVES, traders can select from various other moving average types, including Simple Moving Average (SMA), Smoothed Moving Average (SMMA), Weighted Moving Average (WMA), and Volume-Weighted Moving Average (VWMA). Each type offers unique characteristics:
- **SMA:** Provides a simple average of prices over a specified period, suitable for identifying long-term trends.
- **EMA:** Gives more weight to recent prices, making it more responsive to recent market movements.
- **SMMA (RMA):** A slower-moving average that reduces noise, ideal for capturing smoother trends.
- **WMA:** Weighs prices based on their order in the dataset, making recent prices more influential.
- **VWMA:** Integrates volume data, emphasizing price movements that occur with higher volume, making it particularly useful in volume-sensitive markets.
3. **Signal Line for Trend Confirmation:**
- UVES includes an optional signal line, which applies a secondary moving average to the primary EMA. This signal line can be used to smooth out the EMA and confirm trend changes. The signal line’s color changes based on its slope—green for an upward slope and red for a downward slope—providing a clear visual confirmation of trend direction. Traders can adjust the length and type of this signal line, allowing them to tailor the indicator’s responsiveness to their trading strategy.
4. **Buy and Sell Signal Generation:**
- UVES generates explicit buy and sell signals based on the interaction between the EMA and the signal line. A **buy signal** is triggered when the EMA transitions from a red (downtrend) to a green (uptrend), indicating a potential entry point. Conversely, a **sell signal** is triggered when the EMA shifts from green to red, suggesting an exit or shorting opportunity. These signals are displayed directly on the chart as upward or downward arrows, making them easily identifiable even during fast market conditions.
5. **Volume Analysis with Real-Time Buy/Sell Volume Table:**
- One of the standout features of UVES is its integration of volume analysis, which calculates and displays the volume attributed to buying and selling activities. This analysis includes:
- **Buy Volume:** The portion of the total volume associated with price increases (close higher than open).
- **Sell Volume:** The portion of the total volume associated with price decreases (close lower than open).
- **Buy/Sell Ratio:** A ratio of buy volume to sell volume, providing a quick snapshot of market sentiment.
- These metrics are presented in a real-time table positioned in the top-right corner of the chart, with customizable colors and formatting. The table updates with each new bar, offering continuous feedback on the strength and direction of the market trend based on volume data.
6. **Customizable Settings and User Control:**
- **EMA Length and Source:** Traders can specify the lookback period for the EMA, adjusting its sensitivity to price changes. The source for EMA calculations can also be customized, with options such as close, open, high, low, or other custom price series.
- **Signal Line Customization:** The signal line’s length, type, and width can be adjusted to suit different trading strategies, allowing traders to optimize the balance between trend detection and noise reduction.
- **Offset Adjustment:** The offset feature allows users to shift the EMA and signal line forward or backward on the chart. This can help align the indicator with specific price action or adjust for latency in decision-making processes.
- **Volume Table Positioning and Formatting:** The position, size, and color scheme of the volume table are fully customizable, enabling traders to integrate the table seamlessly into their chart setup without cluttering the visual workspace.
7. **Versatility Across Markets and Trading Styles:**
- UVES is designed to be effective across a wide range of financial markets, including Forex, stocks, cryptocurrencies, commodities, and indices. Its adaptability to different markets is supported by its comprehensive customization options and the inclusion of volume analysis, which is particularly valuable in markets where volume plays a crucial role in price movement.
#### **How Different Traders Can Benefit from UVES**
1. **Trend Followers:**
- Trend-following traders will find UVES particularly beneficial for identifying and riding trends. The dynamic EMA and signal line provide clear visual cues for trend direction, while the volume analysis helps confirm the strength of these trends. This combination allows trend followers to stay in profitable trades longer and exit when the trend shows signs of weakening.
2. **Volume-Based Traders:**
- Traders who focus on volume as a key indicator of market strength can leverage the UVES volume table to gain insights into the buying and selling pressure behind price movements. By monitoring the buy/sell ratio, these traders can identify periods of strong conviction (high buy volume) or potential reversals (high sell volume) with greater accuracy.
3. **Scalpers and Day Traders:**
- For traders operating on shorter time frames, UVES provides quick and reliable signals that are essential for making rapid trading decisions. The ability to customize the EMA length and type allows scalpers to fine-tune the indicator for responsiveness, while the volume analysis offers an additional layer of confirmation to avoid false signals.
4. **Swing Traders:**
- Swing traders, who typically hold positions for several days to weeks, can use UVES to identify medium-term trends and potential entry and exit points. The indicator’s ability to filter out market noise through the signal line and volume analysis makes it ideal for capturing significant price movements without being misled by short-term volatility.
5. **Position Traders and Long-Term Investors:**
- Even long-term investors can benefit from UVES by using it to identify major trend reversals or confirm the strength of long-term trends. The flexibility to adjust the EMA and signal line to longer periods ensures that the indicator remains relevant for detecting shifts in market sentiment over extended time frames.
#### **Optimal Settings for Different Markets**
- **Forex Markets:**
- **EMA Length:** 9 to 14 periods.
- **Signal Line:** Use VWMA or WMA for the signal line to incorporate volume data, which is crucial in the highly liquid Forex markets.
- **Best Use:** Short-term trend following, with an emphasis on identifying rapid changes in market sentiment.
- **Stock Markets:**
- **EMA Length:** 20 to 50 periods.
- **Signal Line:** SMA or EMA with a slightly longer length (e.g., 50 periods) to capture broader market trends.
- **Best Use:** Medium to long-term trend identification, with volume analysis confirming the strength of institutional buying or selling.
- **Cryptocurrency Markets:**
- **EMA Length:** 9 to 12 periods, due to the high volatility in crypto markets.
- **Signal Line:** SMMA or EMA for smoothing out extreme price fluctuations.
- **Best Use:** Identifying entry and exit points in volatile markets, with the volume table providing insights into market manipulation or sudden shifts in trader sentiment.
- **Commodity Markets:**
- **EMA Length:** 14 to 21 periods.
- **Signal Line:** WMA or VWMA, considering the impact of trading volume on commodity prices.
- **Best Use:** Capturing medium-term price movements and confirming trend strength with volume data.
#### **Customization for Advanced Users**
- **Advanced Offset Usage:** Traders can experiment with different offset values to see how shifting the EMA and signal line impacts the timing of buy/sell signals. This can be particularly useful in markets with known latency or for strategies that require a delayed confirmation of trend changes.
- **Volume Table Integration:** The position, size, and colors of the volume table can be adjusted to fit seamlessly into any trading setup. For example, a trader might choose to position the table in the bottom-right corner and use a smaller size to keep the focus on price action while still having access to volume data.
- **Signal Filtering:** By combining the signal line with the primary EMA, traders can filter out false signals during periods of low volatility or when the market is range-bound. Adjusting the length of the signal line allows for greater control over the sensitivity of the trend detection.
#### **Conclusion**
The **Uptrick: Volume-Weighted EMA Signal (UVES)** is a powerful and adaptable indicator designed for traders who demand more from their technical analysis tools. By integrating dynamic EMA trend signals with real-time volume analysis, UVES offers a comprehensive view of market conditions, making it an invaluable resource for identifying trends, confirming signals, and understanding market sentiment. Whether you are a day trader, swing trader, or long-term investor, UVES provides the versatility, precision, and customization needed to make more informed and profitable trading decisions. With its ability to adapt to various markets and trading styles, UVES is not just an indicator but a complete trend analysis solution.
Price and Volume Stochastic Divergence [MW]Introduction
This indicator creates signals of interest for entering and exiting long and short positions on equities. It primarily uses up and down trends defined by the change in cumulative volume with some filtering provided by a short period exponential moving average (9 EMA by default).
Settings
Moving Average Period : The moving average over which the cumulative volume delta is calculated. Default: 14
Short Period EMA : The EMA used to represent price action, and is used to generate the EMA Delta line. Default: 27 (3*3*3)
Long Period EMA : The second EMA used to calculate the EMA Delta line. Default: 108 (2*2*3*3*3)
Stochastic K Value : The value used for stochastic curve smoothing. Default: 3
Dot Size : The diameter of the larger indicator. Default: 10
Dot Transparency : The transparency level of the outer ring of the primary BUY/SELL signal. Default: 50 (0 is opaque, 100 is transparent)
Band Distance from 0 to 100 : The upper and lower band distance. Default: 20
Calculations
The cumulative volume delta (CVD) is calculated using candle bodies and wicks. For a red candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks, while Selling Volume is calculated multiplying the volume by the spread percentage of the average of the top and bottom wicks - in addition to the spread percentage of the candle body.
For a green candle, buying volume is calculated by multiplying the volume by the spread percentage of the average of the top and bottom wicks - plus the spread percentage of the candle body - while Selling Volume is calculated using only the spread percentage average of the top and bottom wicks.
Once we have the CVD, we can then perform a stochastic calculation of the CVD value.
stochastic calculation = (current value - lowest value in period) / (highest value in period - lowest value in period)
We’ll do the same stochastic calculation for the short term EMA (27 EMA default) as well as for the difference between the short term and long term EMA.
When the stochastic CVD value is rising from zero and the short term EMA stochastic value equals 100, then it’s a major bullish signal. When the stochastic CVD value is falling from 100 and the short term EMA stochastic value equals 0, then it’s a major bearish signal.
Sometimes, after a bullish or bearish signal, the stochastic CVD will reverse direction triggering a new opposing signal.
How to Interpret
The CVD indicates when there is either more buying than selling or vice versa. A value over 50 for the stochastic CVD curve represents more buying taking place. A value below 50 represents more selling. One might intuitively believe that when there is more buying volume than selling volume that the price would follow suit. This is not always the case.
Most of the time buying volume will precede consistent price movement upwards, and selling volume will precede consistent price movement downwards. When this divergence occurs, the indicator generates a signal. When this divergence begins to fail, and buying or selling volume reverses, then another signal is generated indicating that the buying/selling impulse is headed back into the direction of price action.
These interactions are visually represented on the chart with the coral line that represents CVD, and the yellow line that represents the EMA, or the average price. When the coral line goes up and the yellow line stays down, that’s the BUY signal. When the coral line goes down and the yellow line stays up, that’s the sell signal. When the coral line switches direction, the chart generates another signal showing that volume is moving in a direction that supports the price.
The orange line represents the stochastic representation of the difference between the short EMA (27 by default) and the long EMA (108 by default). EMA differences is a method that can be used to define a trend. When a short term EMA is above a longer term EMA, that may represent a bullish trend. When it is below, that may represent a bearish trend. When all 3 lines are rising or falling in the same direction at the same time, it tends to indicate a movement that has the potential to continue.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
This indicator can be paired with the MW Volume Impulse indicator if it is desired to see the actual buying and selling cumulative volume deltas. Also, in many cases, the BUY and SELL signals tend to correspond with Keltner Bands (ATR Bands) becoming extended. Lastly, volume weighted average price (VWAP) along with other macro events can impact price and negate signals. To view VWAP lines, you may choose to use the Multi VWAP or Multi VWAP for Gaps indicator to help ensure that the signals you see in this indicator are not being affected by VWAP lines.
Heeger Alert | Didi's Needles setup [HeegerBot]Indicator based on Color Candles - Didi's Needles setup , but now exclusively focused on generating alerts.
With this indicator, you can set up alerts and notifications on TradingView for up to 15 assets based on Didi Aguiar's setup. Additionally, you can specify whether the alert should trigger at the candle close or X minutes before the close.
A session filter has also been added, allowing you to configure alerts to trigger only during a specific session.
Description of monitored signals:
The setup involves the crossing of three moving averages, along with the trend analysis in the ADX and the open Bollinger Bands.
The moving averages will be named "Didi Index". We will have the 3-period average as "Fast Average", the 8-period average as "Median Average", and the 20-period average as "Slow Average". When the Fast Average crosses the Median Average, we will have an alert, and when the Slow Average crosses the Median Average, we will have a confirmation. To adjust the Didi Index in the signals, the Median Average was normalized, that is, it will always be equal to 0. For the Slow and Fast Average, we will only consider the percentage difference in relation to the Median Average.
In addition to the moving averages, we analyze whether the ADX is rising, with DI+ above DI- to indicate an uptrend, or if the ADX is rising, with DI- above DI+ to indicate a downtrend. We also check if the Bollinger Bands are open. With these conditions, we will have a Needle.
Now I'm going to detail how I set this up on the indicator and some filters that I inserted for my personal use, along with some additional signals from the setup.
# Needle Alert
Firstly, we have the "Needle Alert" signal. This signal occurs when the Fast Average crosses the Median Average, along with the trend confirmation in the ADX and the opening of the Bollinger Bands. The filter is set at "1", which means we will only consider the needle alert when the percentage difference between the Slow Average and the Median Average is below 1%. This signal can be used as an entry point or to monitor the asset. Let's go through the examples:
• For a "Buy Alert", the Fast Average must cross the Median Average from bottom to top, and the percentage difference between the Slow Average and the Median Average should be less than +1% and greater than 0, as indicated by the Didi Index.
• For a "Sell Alert", the Fast Average must cross the Median Average from top to bottom, and the percentage difference between the Slow Average and the Median Average should be greater than -1% and less than 0, as indicated by the Didi Index.
We also have the alert projection, which serves as a signal to attract attention and monitor the asset. I use a "0.1" filter, which means that the percentage difference between the Fast Average and the Median Average must be equal to or less than 0.1%. Let's look at the example:
• For a "Buy Alert Projection", the Fast Average should be below the Median Average, and the percentage difference between the Fast Average and the Median Average should be greater than -0.1% and less than 0. In addition, the Slow Average should be above the Median Average in the Didi Index.
• For a "Buy Alert Projection", the Fast Average should be below the Median Average, and the percentage difference between the Fast Average and the Median Average should be greater than -0.1% and less than 0. In addition, the Slow Average should be above the Median Average in the Didi Index.
# Needle
After the Needle Alert, we have the Needle Confirmation, which occurs when the Slow Average crosses the Median Average after the alert. This signal is used to enter the operation. Let's divide this signal into two parts:
1. Needle: We use a filter of "3" (adjustable). This means that, to be considered a "Needle", the candle distance between the Alert (crossing of the Fast Average with the Median Average) and the Confirmation (crossing of the Slow Average with the Median Average) must be equal to or less than 3 candles. Also, there needs to be a trend on the ADX and the Bollinger Bands should be open.
2. Queijo Minas Needle (QM): Essentially, it's a Needle that occurs outside of the filter, with a candle distance between the Alert and the Confirmation above "3" candles. A trend on the ADX and open Bollinger Bands are also necessary.
To anticipate the Needle Confirmation, we use the "Needle Projection" signal. This signal has two filters: the "Needle Projection with Alert", set as "0.1%", and the "Needle Projection after the Alert", set as "0.3%".
1. The "Needle Projection with Alert" generates the signal when the "Needle Alert" occurs (crossing of the Fast Average with the Median Average), as long as the difference between the Slow Average and the Median Average is less than 0.1%.
2. The "Needle Projection after the Alert" generates the signal when the Fast Average has already crossed the Median Average, and the difference between the Slow Average and the Median Average should be less than 0.3%.
# BJMA (Spider Woman's Kiss)
There is another variation of the needle called BJMA. Essentially, it occurs when the Fast Average and the Slow Average approach the Median Average (each on one pole), but do not cross the Median and return to where they came from. In this signal, we have two filters: "Delta BJMA previous candle" and "Delta BJMA current candle". Let's see an example:
• Buy BJMA: First, we observe the previous candle, where the Fast Average must be above 0 (above the Median Average) and the percentage difference should be less than 0.02. In relation to the Slow Average, the configuration is the same, but in the negative sense, that is, it should be below 0 and above -0.02. Now, in the current candle, the Fast Average should be above 0 and below 0.05, while the Slow Average should be below 0 and above -0.05.
• Sell BJMA: First, we observe the previous candle, where the Fast Average must be below 0 (below the Median Average) and the percentage difference should be greater than -0.02. In relation to the Slow Average, the configuration is the same, but in the positive sense, that is, it should be above 0 and below 0.02. Now, in the current candle, the Fast Average should be below 0 and above -0.05, while the Slow Average should be above 0 and below 0.05.
Now, let's look at two signals that are commonly used to stay in a position.
# Fake Point
The Fake Point is primarily used to identify retracements before a continuation of the prevailing trend. Typically, it is preceded by a Needle Confirmation or BJMA signal. Here are some examples:
• Fake Sell (Signal to Maintain a Buy Position): The Fast Average crosses the Median from top to bottom (entering the negative pole of the Didi Index), while the Slow Average, which is already below the Median (below 0), continues to decline further, increasing the percentage difference between the Fast and Slow Averages in the negative pole.
• Fake Buy (Signal to Maintain a Sell Position): It is the same as the fake sell scenario but in the positive pole. The Fast Average crosses the Median, entering the positive pole of the Didi Index, while the Slow Average, which was already above the Median, continues to increase the percentage difference with the Median. For example, if the Slow Average was at +1 on the Didi Index, it would now be at +1.3.
There is also another variation of the Fake Breakout that takes into consideration the ADX (Average Directional Index) to confirm the trend direction. In other words, if we have a fake sell signal that suggests a buy position, we want the ADX to indicate a buying trend, and vice versa.
# Bought and Sold
This signal basically checks whether the indicators continue to confirm the previous signals. There are two variations: "Bought/Sold" and "Bought/Sold without Bollinger Bands". Let's see an example:
• Bought: The Didi Index is in the buying position, which means the Fast Average is above the Median Average (above 0), and the Slow Average is below the Median Average. Additionally, the ADX is indicating a buying trend and the Bollinger Bands are open.
• Sold: The Didi Index is in the selling position, which means the Fast Average is below 0 and the Slow Average is above 0. Moreover, the ADX is indicating a selling trend and the Bollinger Bands are open.
• Bought/Sold without Bollinger Bands: It's the same signal, but without considering whether the Bollinger Bands are open or not.
We can also consider the "Bought/Sold" signal based on the Trix and Stochastic, which would be additional confirmations of the movement.
Personally, I do not activate the Bought/Sold signal.
Now we come to signals to exit the position or take partial profits.
# Close
This exit signal is based on the following indicators: ADX, Bollinger Bands, Trix, and Stochastic. We wait for the ADX Kick or the falling ADX, along with the Bollinger Bands closing, and the Trix and Stochastic changing to the opposite side. Let's see some examples:
• Close a Buy: The ADX was in a buying trend (ADX rising and DI+ above DI-), but then the ADX Kick occurs or the ADX starts to fall. In addition, the Bollinger Bands close, and the Trix and Stochastic should switch to the sell signal.
• Close a Sell: The ADX was in a selling trend (ADX rising and DI- above DI+), but then the ADX Kick occurs or the ADX starts to fall. Also, the Bollinger Bands close, and the Trix and Stochastic should switch to the buy signal.
All indicators must provide signals together, but it is not necessary for all to occur in the exact same candle. For example:
1. The ADX Kick may occur, and the Trix and Stochastic switch to the buy signal, but the Bollinger Bands still remain open. In this case, we still do not have the exit signal.
2. In the next candle, the ADX continues to fall (after the Kick), the Trix and Stochastic continue to indicate buying, but this time the Bollinger Bands close. In this case, we have the "Close a Sell" signal.
It is important that all indicators are in accordance with the necessary signals, even if they occur in different candles, in order for the exit signal to be triggered.
# Close with Alert
This signal occurs when the Didi Index switches to the opposite side from where it was, along with a trend on the ADX, provided it's not a fake point. Let's see some examples:
• Close Buy - Sell Alert: Suppose we were in a buy position on the previous candle. In the current candle, the Fast Average crosses the Median Average from top to bottom, and the ADX indicates a sell trend. In this case, we completely close our buy position or make a partial realization.
• Close Sell - Buy Alert: Suppose we were in a sell position on the previous candle. In the current candle, the Fast Average crosses the Median Average from bottom to top, and the ADX indicates a buy trend. In this case, we completely close our sell position or make a partial realization.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Indicador baseado no Color Candles - Didi's Needles setup , mas agora focado exclusivamente na geração de alertas.
Com esse indicador, você pode configurar alertas e notificações no TradingView para até 15 ativos com base no setup de Didi Aguiar. Além disso, é possível definir se o alerta deve ser acionado no fechamento do candle ou X minutos antes do fechamento.
Também foi adicionado um filtro de sessão que permite configurar os alertas para serem acionados apenas durante uma sessão específica.
Descrição dos sinais monitorados:
O setup consiste no cruzamento de 3 médias móveis, juntamente com a análise da tendência no ADX e das bandas de Bollinger abertas.
As médias móveis serão nomeadas "Didi Index". Teremos a média de 3 períodos como "Média Rápida", a média de 8 períodos como "Média Mediana" e a média de 20 períodos como "Média Lenta". Quando a Média Rápida cruzar a Média Mediana, teremos um alerta e, quando a Média Lenta cruzar a Média Mediana, teremos uma confirmação. Para ajustar o Didi Index nos sinais, a Média Mediana foi normalizada, isto é, ela sempre será igual a 0. Para a Média Lenta e a Média Rápida, levaremos em consideração apenas a diferença percentual em relação à Média Mediana.
Além das médias móveis, analisamos se o ADX está em ascensão, com o DI+ acima do DI- para indicar uma tendência de alta, ou se o ADX está subindo, com o DI- acima do DI+ para indicar uma tendência de baixa. Também verificamos se as bandas de Bollinger estão abertas. Com essas condições, teremos uma Agulhada.
Agora vou detalhar como estabeleci isso no indicador e alguns filtros que inseri para o meu uso pessoal, além de alguns sinais adicionais do setup.
# Alerta de Agulhada
Primeiramente, temos o sinal de "Alerta de Agulhada". Este sinal acontece quando a Média Rápida cruza a Média Mediana, junto com a confirmação da tendência no ADX e a abertura das Bandas de Bollinger. O filtro está ajustado em "1", o que significa que só levaremos em consideração o alerta de agulhada quando a diferença percentual entre a Média Lenta e a Média Mediana estiver abaixo de 1%. Esse sinal pode ser utilizado como um ponto de entrada ou para monitorar o ativo. Vamos aos exemplos:
• Para um "Alerta de Compra", a Média Rápida deve cruzar a Média Mediana de baixo para cima, e a diferença percentual entre a Média Lenta e a Média Mediana deve ser menor que +1% e maior que 0, conforme indicado pelo Didi Index.
• Para um "Alerta de Venda", a Média Rápida deve cruzar a Média Mediana de cima para baixo, e a diferença percentual entre a Média Lenta e a Média Mediana deve ser maior que -1% e menor que 0, conforme indicado pelo Didi Index.
Também temos a projeção do alerta, que serve como um sinal para chamar atenção e monitorar o ativo. Eu uso um filtro de "0.1", o que significa que a diferença percentual entre a Média Rápida e a Média Mediana deve ser igual ou menor que 0.1%. Vamos ver o exemplo:
• Para uma "Projeção de Alerta de Compra", a Média Rápida deve estar abaixo da Média Mediana, e a diferença percentual entre a Média Rápida e a Média Mediana deve ser maior que -0.1% e menor que 0. Além disso, a Média Lenta deve estar acima da Média Mediana no Didi Index.
• Para uma "Projeção de Alerta de Compra", a Média Rápida deve estar abaixo da Média Mediana, e a diferença percentual entre a Média Rápida e a Média Mediana deve ser maior que -0.1% e menor que 0. Além disso, a Média Lenta deve estar acima da Média Mediana no Didi Index.
# Agulhada
Após o Alerta de Agulhada, temos a confirmação da Agulhada, que ocorre quando a Média Lenta cruza a Média Mediana após o alerta. Esse sinal é utilizado para entrar na operação. Vamos dividir esse sinal em duas partes:
1. Agulhada: Utilizamos um filtro de "3" (ajustável). Isso significa que, para ser considerada uma "Agulhada", a distância em velas entre o Alerta (cruzamento da Média Rápida com a Média Mediana) e a Confirmação (cruzamento da Média Lenta com a Média Mediana) deve ser igual ou menor que 3 velas. Além disso, é necessário ter uma tendência no ADX e as Bandas de Bollinger devem estar abertas.
2. Agulhada Queijo Minas (QM): Basicamente, é uma agulhada que ocorre fora do filtro, com uma distância em velas entre o Alerta e a Confirmação acima de "3" velas. Também é necessário ter uma tendência no ADX e as Bandas de Bollinger devem estar abertas.
Para antecipar a confirmação da Agulhada, utilizamos o sinal de "Projeção de Agulhada". Esse sinal possui dois filtros: o "Projeção de Agulhada com Alerta", configurado como "0.1%", e o "Projeção de Agulhada após o Alerta", configurado como "0.3%".
1. "Projeção de Agulhada com Alerta" gera o sinal quando ocorre o "Alerta de Agulhada" (cruzamento da Média Rápida com a Média Mediana), desde que a diferença entre a Média Lenta e a Média Mediana seja menor que 0.1%.
2. "Projeção de Agulhada após o Alerta" gera o sinal quando a Média Rápida já cruzou a Média Mediana, e a diferença entre a Média Lenta e a Média Mediana deve ser menor que 0.3%.
# BJMA (Beijo da Mulher Aranha)
Existe uma outra variação da agulhada chamada BJMA. Essencialmente, ocorre quando a Média Rápida e a Média Lenta se aproximam da Média Mediana (cada uma em um polo), mas não cruzam a Mediana e voltam para o lado de onde vieram. Nesse sinal, temos dois filtros: "Delta BJMA vela anterior" e "Delta BJMA vela atual". Vejamos um exemplo:
• BJMA de Compra: Primeiramente, observamos a vela anterior, onde a Média Rápida deve estar acima de 0 (acima da Média Mediana) e a diferença percentual deve ser menor que 0.02. Em relação à Média Lenta, a configuração é a mesma, porém no sentido negativo, ou seja, ela deve estar abaixo de 0 e acima de -0.02. Agora, na vela atual, a Média Rápida deve estar acima de 0 e abaixo de 0.05, enquanto a Média Lenta deve estar abaixo de 0 e acima de -0.05.
• BJMA de Venda: Primeiramente, observamos a vela anterior, onde a Média Rápida deve estar abaixo de 0 (abaixo da Média Mediana) e a diferença percentual deve ser maior que -0.02. Em relação à Média Lenta, a configuração é a mesma, porém no sentido positivo, ou seja, ela deve estar acima de 0 e abaixo de 0.02. Agora, na vela atual, a Média Rápida deve estar abaixo de 0 e acima de -0.05, enquanto a Média Lenta deve estar acima de 0 e abaixo de 0.05.
Agora vamos abordar dois sinais que são normalmente utilizados para manter uma posição.
# Ponto Falso (Fake Point)
O Ponto Falso é usado para identificar uma retração antes de retomar o movimento. Geralmente, ele ocorre após um sinal de Agulhada ou BJMA. Vejamos exemplos:
• Venda Falsa (sinal para manter uma posição de compra): A Média Rápida cruza a Média Mediana de cima para baixo (entrando no polo negativo do Didi Index), enquanto a Média Lenta, que já está abaixo da Média Mediana (abaixo de 0), continua caindo, aumentando assim a diferença percentual entre a Média Lenta e a Média Mediana no polo negativo.
• Compra Falsa (sinal para manter uma posição de venda): O cenário é semelhante, mas no polo positivo. A Média Rápida cruza a Média Mediana, passando para o lado positivo do Didi Index, enquanto a Média Lenta, que já estava acima da Média Mediana, continua aumentando a diferença percentual em relação à Média Mediana. Por exemplo, se a Média Lenta estava em +1 no Didi Index, agora ela está em +1.3.
Também existe uma variação do Ponto Falso em que verificamos se a tendência no ADX está se mantendo na mesma direção. Ou seja, se tivermos uma Venda Falsa (que seria um sinal para permanecermos em uma posição de compra), é importante que o ADX esteja indicando uma tendência de compra, e vice-versa. Dessa forma, consideramos não apenas o cruzamento das médias, mas também a confirmação da tendência no ADX. Essa variação é chamada de Ponto Falso com Tendência (Fake Point with Trend).
# Comprado e Vendido
Esse sinal, essencialmente, verifica se os indicadores estão mantendo a confirmação dos sinais anteriores. Existem duas variações: "Comprado/Vendido" e "Comprado/Vendido sem Bandas de Bollinger". Vejamos um exemplo:
• Comprado: O Didi Index está em compra, o que significa que a Média Rápida está acima da Média Mediana (acima de 0) e a Média Lenta está abaixo da Média Mediana. Além disso, o ADX está indicando uma tendência de compra e as Bandas de Bollinger estão abertas.
• Vendido: O Didi Index está em venda, o que significa que a Média Rápida está abaixo de 0 e a Média Lenta está acima de 0. Além disso, o ADX está indicando uma tendência de venda e as Bandas de Bollinger estão abertas.
• Comprado/Vendido sem Bollinger: É o mesmo sinal, porém sem considerar se as Bandas de Bollinger estão abertas ou não.
Podemos também considerar o "Comprado/Vendido" com base no Trix e no Estocástico, que seriam confirmações adicionais do movimento.
Eu, pessoalmente, não deixo ativado o sinal de Comprado/Vendido.
Agora chegamos aos sinais de saída da posição ou de realização parcial.
# Fechar (Close)
Este sinal de saída baseia-se nos seguintes indicadores: ADX, Bandas de Bollinger, Trix e Estocástico. Aguardamos o Kick do ADX ou o ADX em queda, juntamente com as Bandas de Bollinger se fechando, e o Trix e o Estocástico mudando para o lado oposto. Vamos ver alguns exemplos:
• Fechar uma Compra (Close Buy): O ADX estava em uma tendência de compra (ADX subindo e DI+ acima do DI-), mas em seguida ocorre o Kick do ADX ou o ADX começa a cair. Além disso, as Bandas de Bollinger se fecham e o Trix e o Estocástico devem mudar para o sinal de venda.
• Fechar uma Venda (Close Sell): O ADX estava em uma tendência de venda (ADX subindo e DI- acima do DI+), mas em seguida ocorre o Kick do ADX ou o ADX começa a cair. Além disso, as Bandas de Bollinger se fecham e o Trix e o Estocástico devem mudar para o sinal de compra.
Todos os indicadores devem fornecer os sinais em conjunto, mas não é necessário que todos ocorram exatamente na mesma vela. Por exemplo:
1. Pode ocorrer o Kick do ADX e o Trix e o Estocástico mudarem para o sinal de compra, mas as Bandas de Bollinger ainda permanecerem abertas. Nesse caso, ainda não teremos o sinal de saída.
2. No candle seguinte, o ADX continua caindo (após o Kick), o Trix e o Estocástico continuam indicando compra, mas desta vez as Bandas de Bollinger se fecham. Nesse caso, teremos o sinal de "Fechamento de uma Venda".
É importante que todos os indicadores estejam em conformidade com os sinais necessários, mesmo que ocorram em velas diferentes, para que seja acionado o sinal de saída.
# Fechar com Alerta (Close with Alert)
Esse sinal ocorre quando o Didi Index muda para o lado oposto do que estava, juntamente com uma tendência no ADX, desde que não seja um ponto falso. Vejamos exemplos:
• Fechar Compra - Alerta de Venda: Suponha que estávamos em uma posição de compra no candle anterior. No candle atual, a Média Rápida cruza a Média Mediana de cima para baixo, e o ADX indica uma tendência de venda. Nesse caso, encerramos completamente nossa posição de compra ou realizamos uma realização parcial.
• Fechar Venda – Alerta de Compra: Suponha que estávamos em uma posição de venda no candle anterior. No candle atual, a Média Rápida cruza a Média Mediana de baixo para cima, e o ADX indica uma tendência de compra. Nesse caso, encerramos completamente nossa posição de venda ou realizamos uma realização parcial.
Color Candles - Didi's Needles setup [HeegerBot]Coloration Indicator based on Didi Aguiar's needle setup.
Indicador de Coloração baseado no setup de agulhadas do Didi Aguiar.
The setup consists of the crossover of three moving averages, along with the analysis of an ascending trend in the ADX and the opening of Bollinger Bands.
The setup involves the crossing of three moving averages, along with the trend analysis in the ADX and the open Bollinger Bands.
The moving averages will be named "Didi Index". We will have the 3-period average as "Fast Average", the 8-period average as "Median Average", and the 20-period average as "Slow Average". When the Fast Average crosses the Median Average, we will have an alert, and when the Slow Average crosses the Median Average, we will have a confirmation. To adjust the Didi Index in the signals, the Median Average was normalized, that is, it will always be equal to 0. For the Slow and Fast Average, we will only consider the percentage difference in relation to the Median Average.
In addition to the moving averages, we analyze whether the ADX is rising, with DI+ above DI- to indicate an uptrend, or if the ADX is rising, with DI- above DI+ to indicate a downtrend. We also check if the Bollinger Bands are open. With these conditions, we will have a Needle.
Now I'm going to detail how I set this up on the indicator and some filters that I inserted for my personal use, along with some additional signals from the setup.
# Needle Alert
Firstly, we have the "Needle Alert" signal. This signal occurs when the Fast Average crosses the Median Average, along with the trend confirmation in the ADX and the opening of the Bollinger Bands. The filter is set at "1", which means we will only consider the needle alert when the percentage difference between the Slow Average and the Median Average is below 1%. This signal can be used as an entry point or to monitor the asset. Let's go through the examples:
• For a "Buy Alert", the Fast Average must cross the Median Average from bottom to top, and the percentage difference between the Slow Average and the Median Average should be less than +1% and greater than 0, as indicated by the Didi Index.
• For a "Sell Alert", the Fast Average must cross the Median Average from top to bottom, and the percentage difference between the Slow Average and the Median Average should be greater than -1% and less than 0, as indicated by the Didi Index.
We also have the alert projection, which serves as a signal to attract attention and monitor the asset. I use a "0.1" filter, which means that the percentage difference between the Fast Average and the Median Average must be equal to or less than 0.1%. Let's look at the example:
• For a "Buy Alert Projection", the Fast Average should be below the Median Average, and the percentage difference between the Fast Average and the Median Average should be greater than -0.1% and less than 0. In addition, the Slow Average should be above the Median Average in the Didi Index.
• For a "Buy Alert Projection", the Fast Average should be below the Median Average, and the percentage difference between the Fast Average and the Median Average should be greater than -0.1% and less than 0. In addition, the Slow Average should be above the Median Average in the Didi Index.
# Needle
After the Needle Alert, we have the Needle Confirmation, which occurs when the Slow Average crosses the Median Average after the alert. This signal is used to enter the operation. Let's divide this signal into two parts:
1. Needle: We use a filter of "3" (adjustable). This means that, to be considered a "Needle", the candle distance between the Alert (crossing of the Fast Average with the Median Average) and the Confirmation (crossing of the Slow Average with the Median Average) must be equal to or less than 3 candles. Also, there needs to be a trend on the ADX and the Bollinger Bands should be open.
2. Queijo Minas Needle (QM): Essentially, it's a Needle that occurs outside of the filter, with a candle distance between the Alert and the Confirmation above "3" candles. A trend on the ADX and open Bollinger Bands are also necessary.
To anticipate the Needle Confirmation, we use the "Needle Projection" signal. This signal has two filters: the "Needle Projection with Alert", set as "0.1%", and the "Needle Projection after the Alert", set as "0.3%".
1. The "Needle Projection with Alert" generates the signal when the "Needle Alert" occurs (crossing of the Fast Average with the Median Average), as long as the difference between the Slow Average and the Median Average is less than 0.1%.
2. The "Needle Projection after the Alert" generates the signal when the Fast Average has already crossed the Median Average, and the difference between the Slow Average and the Median Average should be less than 0.3%.
# BJMA (Spider Woman's Kiss)
There is another variation of the needle called BJMA. Essentially, it occurs when the Fast Average and the Slow Average approach the Median Average (each on one pole), but do not cross the Median and return to where they came from. In this signal, we have two filters: "Delta BJMA previous candle" and "Delta BJMA current candle". Let's see an example:
• Buy BJMA: First, we observe the previous candle, where the Fast Average must be above 0 (above the Median Average) and the percentage difference should be less than 0.02. In relation to the Slow Average, the configuration is the same, but in the negative sense, that is, it should be below 0 and above -0.02. Now, in the current candle, the Fast Average should be above 0 and below 0.05, while the Slow Average should be below 0 and above -0.05.
• Sell BJMA: First, we observe the previous candle, where the Fast Average must be below 0 (below the Median Average) and the percentage difference should be greater than -0.02. In relation to the Slow Average, the configuration is the same, but in the positive sense, that is, it should be above 0 and below 0.02. Now, in the current candle, the Fast Average should be below 0 and above -0.05, while the Slow Average should be above 0 and below 0.05.
Now, let's look at two signals that are commonly used to stay in a position.
# Fake Point
The Fake Point is primarily used to identify retracements before a continuation of the prevailing trend. Typically, it is preceded by a Needle Confirmation or BJMA signal. Here are some examples:
• Fake Sell (Signal to Maintain a Buy Position): The Fast Average crosses the Median from top to bottom (entering the negative pole of the Didi Index), while the Slow Average, which is already below the Median (below 0), continues to decline further, increasing the percentage difference between the Fast and Slow Averages in the negative pole.
• Fake Buy (Signal to Maintain a Sell Position): It is the same as the fake sell scenario but in the positive pole. The Fast Average crosses the Median, entering the positive pole of the Didi Index, while the Slow Average, which was already above the Median, continues to increase the percentage difference with the Median. For example, if the Slow Average was at +1 on the Didi Index, it would now be at +1.3.
There is also another variation of the Fake Breakout that takes into consideration the ADX (Average Directional Index) to confirm the trend direction. In other words, if we have a fake sell signal that suggests a buy position, we want the ADX to indicate a buying trend, and vice versa.
# Bought and Sold
This signal basically checks whether the indicators continue to confirm the previous signals. There are two variations: "Bought/Sold" and "Bought/Sold without Bollinger Bands". Let's see an example:
• Bought: The Didi Index is in the buying position, which means the Fast Average is above the Median Average (above 0), and the Slow Average is below the Median Average. Additionally, the ADX is indicating a buying trend and the Bollinger Bands are open.
• Sold: The Didi Index is in the selling position, which means the Fast Average is below 0 and the Slow Average is above 0. Moreover, the ADX is indicating a selling trend and the Bollinger Bands are open.
• Bought/Sold without Bollinger Bands: It's the same signal, but without considering whether the Bollinger Bands are open or not.
We can also consider the "Bought/Sold" signal based on the Trix and Stochastic, which would be additional confirmations of the movement.
Personally, I do not activate the Bought/Sold signal.
Now we come to signals to exit the position or take partial profits.
# Close
This exit signal is based on the following indicators: ADX, Bollinger Bands, Trix, and Stochastic. We wait for the ADX Kick or the falling ADX, along with the Bollinger Bands closing, and the Trix and Stochastic changing to the opposite side. Let's see some examples:
• Close a Buy: The ADX was in a buying trend (ADX rising and DI+ above DI-), but then the ADX Kick occurs or the ADX starts to fall. In addition, the Bollinger Bands close, and the Trix and Stochastic should switch to the sell signal.
• Close a Sell: The ADX was in a selling trend (ADX rising and DI- above DI+), but then the ADX Kick occurs or the ADX starts to fall. Also, the Bollinger Bands close, and the Trix and Stochastic should switch to the buy signal.
All indicators must provide signals together, but it is not necessary for all to occur in the exact same candle. For example:
1. The ADX Kick may occur, and the Trix and Stochastic switch to the buy signal, but the Bollinger Bands still remain open. In this case, we still do not have the exit signal.
2. In the next candle, the ADX continues to fall (after the Kick), the Trix and Stochastic continue to indicate buying, but this time the Bollinger Bands close. In this case, we have the "Close a Sell" signal.
It is important that all indicators are in accordance with the necessary signals, even if they occur in different candles, in order for the exit signal to be triggered.
# Close with Alert
This signal occurs when the Didi Index switches to the opposite side from where it was, along with a trend on the ADX, provided it's not a fake point. Let's see some examples:
• Close Buy - Sell Alert: Suppose we were in a buy position on the previous candle. In the current candle, the Fast Average crosses the Median Average from top to bottom, and the ADX indicates a sell trend. In this case, we completely close our buy position or make a partial realization.
• Close Sell - Buy Alert: Suppose we were in a sell position on the previous candle. In the current candle, the Fast Average crosses the Median Average from bottom to top, and the ADX indicates a buy trend. In this case, we completely close our sell position or make a partial realization.
# Divergence in Didi Index and Stochastic.
The signal of divergence in the Didi Index and the Stochastic is used to identify situations where there is a divergence in one of these indicators. When identified, a box will be drawn in the region where the divergence occurred. This region is considered an area of conflict or strength.
Depending on the context of the chart, these regions can be used as points for total or partial exit of positions. This happens because there may be a correction of the movement after these divergences occur. In some cases, if there is an ignition candle that breaks through this region, it can be used as a possible entry point into the position, taking advantage of a possible pullback.
It is recommended to wait for the candle to close before considering the signals, as this allows for a more solid confirmation.
---------------------------------------------------------------------------------------------------------------------
Indicador de Coloração baseado no setup de agulhadas do Didi Aguiar.
O setup consiste no cruzamento de 3 médias móveis, juntamente com a análise da tendência no ADX e das bandas de Bollinger abertas.
As médias móveis serão nomeadas "Didi Index". Teremos a média de 3 períodos como "Média Rápida", a média de 8 períodos como "Média Mediana" e a média de 20 períodos como "Média Lenta". Quando a Média Rápida cruzar a Média Mediana, teremos um alerta e, quando a Média Lenta cruzar a Média Mediana, teremos uma confirmação. Para ajustar o Didi Index nos sinais, a Média Mediana foi normalizada, isto é, ela sempre será igual a 0. Para a Média Lenta e a Média Rápida, levaremos em consideração apenas a diferença percentual em relação à Média Mediana.
Além das médias móveis, analisamos se o ADX está em ascensão, com o DI+ acima do DI- para indicar uma tendência de alta, ou se o ADX está subindo, com o DI- acima do DI+ para indicar uma tendência de baixa. Também verificamos se as bandas de Bollinger estão abertas. Com essas condições, teremos uma Agulhada.
Agora vou detalhar como estabeleci isso no indicador e alguns filtros que inseri para o meu uso pessoal, além de alguns sinais adicionais do setup.
# Alerta de Agulhada
Primeiramente, temos o sinal de "Alerta de Agulhada". Este sinal acontece quando a Média Rápida cruza a Média Mediana, junto com a confirmação da tendência no ADX e a abertura das Bandas de Bollinger. O filtro está ajustado em "1", o que significa que só levaremos em consideração o alerta de agulhada quando a diferença percentual entre a Média Lenta e a Média Mediana estiver abaixo de 1%. Esse sinal pode ser utilizado como um ponto de entrada ou para monitorar o ativo. Vamos aos exemplos:
• Para um "Alerta de Compra", a Média Rápida deve cruzar a Média Mediana de baixo para cima, e a diferença percentual entre a Média Lenta e a Média Mediana deve ser menor que +1% e maior que 0, conforme indicado pelo Didi Index.
• Para um "Alerta de Venda", a Média Rápida deve cruzar a Média Mediana de cima para baixo, e a diferença percentual entre a Média Lenta e a Média Mediana deve ser maior que -1% e menor que 0, conforme indicado pelo Didi Index.
Também temos a projeção do alerta, que serve como um sinal para chamar atenção e monitorar o ativo. Eu uso um filtro de "0.1", o que significa que a diferença percentual entre a Média Rápida e a Média Mediana deve ser igual ou menor que 0.1%. Vamos ver o exemplo:
• Para uma "Projeção de Alerta de Compra", a Média Rápida deve estar abaixo da Média Mediana, e a diferença percentual entre a Média Rápida e a Média Mediana deve ser maior que -0.1% e menor que 0. Além disso, a Média Lenta deve estar acima da Média Mediana no Didi Index.
• Para uma "Projeção de Alerta de Compra", a Média Rápida deve estar abaixo da Média Mediana, e a diferença percentual entre a Média Rápida e a Média Mediana deve ser maior que -0.1% e menor que 0. Além disso, a Média Lenta deve estar acima da Média Mediana no Didi Index.
# Agulhada
Após o Alerta de Agulhada, temos a confirmação da Agulhada, que ocorre quando a Média Lenta cruza a Média Mediana após o alerta. Esse sinal é utilizado para entrar na operação. Vamos dividir esse sinal em duas partes:
1. Agulhada: Utilizamos um filtro de "3" (ajustável). Isso significa que, para ser considerada uma "Agulhada", a distância em velas entre o Alerta (cruzamento da Média Rápida com a Média Mediana) e a Confirmação (cruzamento da Média Lenta com a Média Mediana) deve ser igual ou menor que 3 velas. Além disso, é necessário ter uma tendência no ADX e as Bandas de Bollinger devem estar abertas.
2. Agulhada Queijo Minas (QM): Basicamente, é uma agulhada que ocorre fora do filtro, com uma distância em velas entre o Alerta e a Confirmação acima de "3" velas. Também é necessário ter uma tendência no ADX e as Bandas de Bollinger devem estar abertas.
Para antecipar a confirmação da Agulhada, utilizamos o sinal de "Projeção de Agulhada". Esse sinal possui dois filtros: o "Projeção de Agulhada com Alerta", configurado como "0.1%", e o "Projeção de Agulhada após o Alerta", configurado como "0.3%".
1. "Projeção de Agulhada com Alerta" gera o sinal quando ocorre o "Alerta de Agulhada" (cruzamento da Média Rápida com a Média Mediana), desde que a diferença entre a Média Lenta e a Média Mediana seja menor que 0.1%.
2. "Projeção de Agulhada após o Alerta" gera o sinal quando a Média Rápida já cruzou a Média Mediana, e a diferença entre a Média Lenta e a Média Mediana deve ser menor que 0.3%.
# BJMA (Beijo da Mulher Aranha)
Existe uma outra variação da agulhada chamada BJMA. Essencialmente, ocorre quando a Média Rápida e a Média Lenta se aproximam da Média Mediana (cada uma em um polo), mas não cruzam a Mediana e voltam para o lado de onde vieram. Nesse sinal, temos dois filtros: "Delta BJMA vela anterior" e "Delta BJMA vela atual". Vejamos um exemplo:
• BJMA de Compra: Primeiramente, observamos a vela anterior, onde a Média Rápida deve estar acima de 0 (acima da Média Mediana) e a diferença percentual deve ser menor que 0.02. Em relação à Média Lenta, a configuração é a mesma, porém no sentido negativo, ou seja, ela deve estar abaixo de 0 e acima de -0.02. Agora, na vela atual, a Média Rápida deve estar acima de 0 e abaixo de 0.05, enquanto a Média Lenta deve estar abaixo de 0 e acima de -0.05.
• BJMA de Venda: Primeiramente, observamos a vela anterior, onde a Média Rápida deve estar abaixo de 0 (abaixo da Média Mediana) e a diferença percentual deve ser maior que -0.02. Em relação à Média Lenta, a configuração é a mesma, porém no sentido positivo, ou seja, ela deve estar acima de 0 e abaixo de 0.02. Agora, na vela atual, a Média Rápida deve estar abaixo de 0 e acima de -0.05, enquanto a Média Lenta deve estar acima de 0 e abaixo de 0.05.
Agora vamos abordar dois sinais que são normalmente utilizados para manter uma posição.
# Ponto Falso (Fake Point)
O Ponto Falso é usado para identificar uma retração antes de retomar o movimento. Geralmente, ele ocorre após um sinal de Agulhada ou BJMA. Vejamos exemplos:
• Venda Falsa (sinal para manter uma posição de compra): A Média Rápida cruza a Média Mediana de cima para baixo (entrando no polo negativo do Didi Index), enquanto a Média Lenta, que já está abaixo da Média Mediana (abaixo de 0), continua caindo, aumentando assim a diferença percentual entre a Média Lenta e a Média Mediana no polo negativo.
• Compra Falsa (sinal para manter uma posição de venda): O cenário é semelhante, mas no polo positivo. A Média Rápida cruza a Média Mediana, passando para o lado positivo do Didi Index, enquanto a Média Lenta, que já estava acima da Média Mediana, continua aumentando a diferença percentual em relação à Média Mediana. Por exemplo, se a Média Lenta estava em +1 no Didi Index, agora ela está em +1.3.
Também existe uma variação do Ponto Falso em que verificamos se a tendência no ADX está se mantendo na mesma direção. Ou seja, se tivermos uma Venda Falsa (que seria um sinal para permanecermos em uma posição de compra), é importante que o ADX esteja indicando uma tendência de compra, e vice-versa. Dessa forma, consideramos não apenas o cruzamento das médias, mas também a confirmação da tendência no ADX. Essa variação é chamada de Ponto Falso com Tendência (Fake Point with Trend).
# Comprado e Vendido
Esse sinal, essencialmente, verifica se os indicadores estão mantendo a confirmação dos sinais anteriores. Existem duas variações: "Comprado/Vendido" e "Comprado/Vendido sem Bandas de Bollinger". Vejamos um exemplo:
• Comprado: O Didi Index está em compra, o que significa que a Média Rápida está acima da Média Mediana (acima de 0) e a Média Lenta está abaixo da Média Mediana. Além disso, o ADX está indicando uma tendência de compra e as Bandas de Bollinger estão abertas.
• Vendido: O Didi Index está em venda, o que significa que a Média Rápida está abaixo de 0 e a Média Lenta está acima de 0. Além disso, o ADX está indicando uma tendência de venda e as Bandas de Bollinger estão abertas.
• Comprado/Vendido sem Bollinger: É o mesmo sinal, porém sem considerar se as Bandas de Bollinger estão abertas ou não.
Podemos também considerar o "Comprado/Vendido" com base no Trix e no Estocástico, que seriam confirmações adicionais do movimento.
Eu, pessoalmente, não deixo ativado o sinal de Comprado/Vendido.
Agora chegamos aos sinais de saída da posição ou de realização parcial.
# Fechar (Close)
Este sinal de saída baseia-se nos seguintes indicadores: ADX, Bandas de Bollinger, Trix e Estocástico. Aguardamos o Kick do ADX ou o ADX em queda, juntamente com as Bandas de Bollinger se fechando, e o Trix e o Estocástico mudando para o lado oposto. Vamos ver alguns exemplos:
• Fechar uma Compra (Close Buy): O ADX estava em uma tendência de compra (ADX subindo e DI+ acima do DI-), mas em seguida ocorre o Kick do ADX ou o ADX começa a cair. Além disso, as Bandas de Bollinger se fecham e o Trix e o Estocástico devem mudar para o sinal de venda.
• Fechar uma Venda (Close Sell): O ADX estava em uma tendência de venda (ADX subindo e DI- acima do DI+), mas em seguida ocorre o Kick do ADX ou o ADX começa a cair. Além disso, as Bandas de Bollinger se fecham e o Trix e o Estocástico devem mudar para o sinal de compra.
Todos os indicadores devem fornecer os sinais em conjunto, mas não é necessário que todos ocorram exatamente na mesma vela. Por exemplo:
1. Pode ocorrer o Kick do ADX e o Trix e o Estocástico mudarem para o sinal de compra, mas as Bandas de Bollinger ainda permanecerem abertas. Nesse caso, ainda não teremos o sinal de saída.
2. No candle seguinte, o ADX continua caindo (após o Kick), o Trix e o Estocástico continuam indicando compra, mas desta vez as Bandas de Bollinger se fecham. Nesse caso, teremos o sinal de "Fechamento de uma Venda".
É importante que todos os indicadores estejam em conformidade com os sinais necessários, mesmo que ocorram em velas diferentes, para que seja acionado o sinal de saída.
# Fechar com Alerta (Close with Alert)
Esse sinal ocorre quando o Didi Index muda para o lado oposto do que estava, juntamente com uma tendência no ADX, desde que não seja um ponto falso. Vejamos exemplos:
• Fechar Compra - Alerta de Venda: Suponha que estávamos em uma posição de compra no candle anterior. No candle atual, a Média Rápida cruza a Média Mediana de cima para baixo, e o ADX indica uma tendência de venda. Nesse caso, encerramos completamente nossa posição de compra ou realizamos uma realização parcial.
• Fechar Venda – Alerta de Compra: Suponha que estávamos em uma posição de venda no candle anterior. No candle atual, a Média Rápida cruza a Média Mediana de baixo para cima, e o ADX indica uma tendência de compra. Nesse caso, encerramos completamente nossa posição de venda ou realizamos uma realização parcial.
# Divergência no Didi Index e no Estocástico.
O sinal de divergência no Didi Index e no Estocástico é usado para identificar situações onde há uma divergência em um desses indicadores. Quando identificada, uma caixa será desenhada na área onde a divergência ocorreu. Essa área é considerada uma zona de briga ou força.
Dependendo do contexto do gráfico, essas zonas podem ser usadas como pontos de saída total ou parcial das posições. Isso acontece porque pode haver uma correção do movimento após a ocorrência dessas divergências. Em alguns casos, se houver uma vela de ignição que quebre essa zona, ela pode ser usada como um possível ponto de entrada na posição, aproveitando um possível pullback.
É recomendado aguardar o fechamento do candle para levar os sinais em consideração, pois isso permite obter uma confirmação mais sólida.
FalconRed 5 EMA Indicator (Powerofstocks)Improved version:
This indicator is based on Subhashish Pani's "Power of Stocks" 5 EMA Strategy, which aims to identify potential buying and selling opportunities in the market. The indicator plots the 5 EMA (Exponential Moving Average) and generates Buy/Sell signals with corresponding Target and Stoploss levels.
Subhashish Pani's 5 EMA Strategy is a straightforward approach. For intraday trading, a 5-minute timeframe is recommended for selling. In this strategy, you can choose to sell futures, sell calls, or buy puts as part of your selling strategy. The goal is to capture market tops by selling at the peak, anticipating a reversal for profitable trades. Although this strategy may result in frequent stop losses, they are typically small, while the minimum target should be at least three times the risk taken. By staying aligned with the trend, significant profits can be achieved. Subhashish Pani claims that this strategy has a 60% success rate.
Strategy for Selling (Short Future/Call/Stock or Buy Put):
1. When a candle completely closes above the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle.
2. If the next candle is also entirely above the 5 EMA and does not break the low of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle.
3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the low of the Alert Candle, take a short trade (e.g., short futures, calls, stocks, or buy puts).
4. Set the stop loss above the high of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss).
Strategy for Buying (Buy Future/Call/Stock or Sell Put):
1. When a candle completely closes below the 5 EMA (with no part of the candle touching the 5 EMA), it is considered an Alert Candle.
2. If the next candle is also entirely below the 5 EMA and does not break the high of the previous Alert Candle, ignore the previous Alert Candle and consider the new candle as the new Alert Candle.
3. Continue shifting the Alert Candle in this manner. However, when the next candle breaks the high of the Alert Candle, take a long trade (e.g., buy futures, calls, stocks, or sell puts).
4. Set the stop loss below the low of the Alert Candle, and the minimum target should be 1:3 (at least three times the stop loss).
Buy/Sell with Additional Conditions:
An additional condition is added to the buying/selling strategy:
1. Check if the closing price of the current candle is lower than the closing price of the Alert Candle for selling, or higher than the closing price of the Alert Candle for buying.
- This condition aims to filter out false moves, potentially preventing entering trades based on temporary fluctuations. However, it may cause you to miss out on significant moves, as you will enter trades after the candle closes, rather than at the breakout point.
Note: According to Subhashish Pani, the recommended timeframe for intraday buying is 15 minutes. However, this strategy can also be applied to positional/swing trading. If used on a monthly timeframe, it can be beneficial for long-term investing as well. The rules remain the same for all types of trades and timeframes.
If you need a deeper understanding of this strategy, you can search for "Subhashish Pani's (Power of Stocks) 5 EMA Strategy" on YouTube for further explanations.
Note: This strategy is not limited to intraday trading and can be applied to positional/swing
Option ScalperWhat is Scalping?
Scalping is a trading strategy aimed at profiting from quick momentum in a volatile index or stock or any other instrument that can be traded.
Traders who use such strategies place anywhere from 10 to a few hundred trades in a single day.
The idea behind such type of trading is that small moves in an index or stock price are much easier to capture than the larger moves.
Traders who use such strategies are known as scalpers. When you take many small profits a number of times, say 10 points scalped 20 times per day, they can easily add up to large gains.
An Option Buyer's Biggest Enemy is Time Decay and when you scalp, you do not allow the time decay to eat your Option Premium as your Entry and Exit is often quick enough.
What is Option Scalper?
Option Scalper indicator is a momentum-based indicator that tries to detect momentum based upon a number of factors as given below:
(1) Price action accumulated over a period of time when big candles are nowhere
(2) Repeatedly Occurring, certain Candle patterns which indicate if buyers have the upper hand or sellers are ruling the market.
(3) Gradient of moving averages which shows consistency of net buying/selling force
(4) Price jumping normal distribution line and landing in outlying areas, signalling increasing momentum of buying/selling activity.
Based upon the above factors, when Option Scalper thinks a move has the potential to turn into a big move, it generates its Buy/Sell Signals.
When aggressive buying or selling starts where Buying & Selling Forces become unequal, the Price starts moving in one direction with candles making Higher Highs or Lower Lows, moving average lines start scaling up or down or volumes start increasing.
Option Scalper detects these (1) Higher Highs or Lower Lows, (2) scaling up moving average lines, and/or (3) price breaking out of channels; and generates Buy or Sell signals.
In order to use this indicator, simply deploy this on your chart, and wait for Buy/Sell signals. When a Buy/Sell Signal appears, a small line starts forming up at the closing level of Buy/Sell signal candle. Your Entry will be above that line for Buy Signal and below that line for Sell Signal.
It works on all time frames.
Whenever a Buy Signal is followed by Sell signal (let it be after 7 - 8 candles or after many candles) or vice-versa, you have to switch your position to make most of the reverse move.
It is a general purpose indicator and may be used on stocks, commodities, forex and any other instruments alike and is not meant for any specific market.
How to Take Buy/Sell Entry with Option Scalper?
Whenever a Buy/Sell Signal appears on a candle, Option Scalper starts marking its closing price with a horizontal line that keeps extending towards right side with every new candle. This line is Blue in Color for Buy Signal and dark golden color for Sell Signal.
Initially this horizontal line will be very small but as more and more candles appear with the passage of time, the length of the line keeps increasing.
The purpose of this line is to mark the closing price of Signal candle and you have to take your Buy Entry above this line (if last signal is BUY) or you have to take your trade Below this line (if last signal is SELL).
The indicator will also draw another line at the Opening Price of Signal Candle, which can act as your initial stop loss. If trade starts moving in your direction and price goes above upper variance line (light green curvy line) or goes below lower variance line (purple wavy line), then that line becomes your trailing stop loss line from that point onwards.
The indicator also marks the consolidation zone for you. If the Buy/Sell Signal has come but price is in consolidation zone (grey colour cloud), do not take any positions yet and wait for the price to come out of the cloud and breach the Entry Line.
Exiting Buy/Sell Positions and Re-Entry Rules
1. Exiting your Buy Trade: When a Buy Trade is active, indicator can detect where the ongoing upmove may end or retrace for a while and it will print an X symbol (RED COLOR) to warn you. After you see a Red Color X symbol, if price starts making lower lows, you can exit your Buy Trade there or if you are in good profit, you can wait for the price to go below upper variance line (the green color Trailing Stop Loss Line for Buy Trade). See the image below for Red Color X symbol which warns you to be prepared for EXIT from Buy Trade:
2. Re-Entry for Buy Trade: If the last signal on your chart is still Buy Signal but your stop loss has been hit once or twice and you have no open positions now, you can RE-ENTER in buy trade if and when price again climbs above the grey cloud.
3. Exiting your Sell Trade: When a Sell Trade is active, indicator can detect where the ongoing down-move may end or retrace for a while and it will print an X symbol (Green COLOR) to warn you. After you see a Green Color X symbol, if price starts making higher highs, you can exit your Sell Trade there or if you are in good profit, you can wait for the price to go above lower variance line (the purple color Trailing Stop Loss Line for Sell Trade).
4. Re-Entry for Sell Trade: If the last signal on your chart is Sell Signal but your stop loss has been hit once or twice and you have no open positions now, you can RE-ENTER in Sell trade if and when price again crosses below the grey color cloud.
See the image below for recognizing Red and Green X symbols which indicate that temporary retracement or reversal signal is developing:
What are the other features of Option Scalper?
1. End to End Horizontal Support/Resistance Lines: Indicator also detects, prints and deletes horizontal support and resistance lines which can help in your trading decisions. For example, a Buy Signal comes and price crosses above upper variance line and also crosses nearby horizontal resistance line means it has higher probability of moving further up. The reverse is also true (for Sell Signal). See an example of a resistance line below:
2. Star Symbols: If 5 or more consecutive candles are of the same color, then Star Symbol (*) starts appearing above or below the candles. When price has moved too high or too low from the upper or lower variance line, these stars indicate that there is higher probability of retracement happening now which should prompt you to book full or partial profit. See the circled stars in the below image
3. Color Changing Candles: If a candle changes its color from Red to Purple or from Green to light green, they indicate increased intensity of Selling or Buying activity. For example, if each 1 min candle within a 5 min candle is red, then that 5 min candle will turn purple which means Selling pressure is too much and there are very few or no buyers at all. Reverse is also true when Green Candle becomes Light Green. Example images of such candles can be seen below:
4. Consolidation Zone: It is very important for an option buyer to strike only when there is momentum and not to take any fresh trade (or if you already have a position, then closing it for the time being) when price is in consolidation zone. Consolidation zone is marked by a grey colour cloud as seen in below image.
What Type of Alerts Can be Set up: You can set up 3 type of alerts with this indicator (a) Buy Entry Signal which happens when Price closes above the marked Buy Price Level (b) Sell Signal which happens when Price closes below the marked Sell Price Level or (c) Any signal (if you want to be alerted when either Buy or Sell Signal happens)
How to get this indicator?
This is invite-only indicator. Get in touch with us using information given below in Signature field to try this indicator FREE. You may also chat with us through Private Chat feature of TradingView.
Pressure - Buying and SellingThis is the Pressure Indicator.
The Pressure Indicator analyzes a number of price ratios to measure the pressure of Buyers and Sellers.
I’ve also added to the indicator:
1) Moving Averages (MA) – You can choose 3 types of MA:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA) - default
- Volume Weighted Moving Average (VWMA)
- Arnaud Legoux Moving Average (ALMA)
By default the MA are not displayed. You can turn them on or off.
2) Standard Deviation Bands and MA Bands – Bands only for the MA type 1 selection. Usually, the Pressureis inside the Bands. If it is beyond the Bands that could mean the current trend is ending. The MA Bands are turned off by default but you can turn them on the Styles Tab Menu.
3) Levels for Overbought and Oversold Zones:
- Gray Overbought 60
- Gray Oversold 40
4) Levels for Buying and Selling Pressure (3 types of pressure + 1 more). If the Pressure is crossing various intermediate levels that means there is Buying or Selling Pressure at those levels.
5) Signals for Crossing Overbought and Oversold Levels:
- Top Red fills for Crossing Down Overbought Level
- Bottom Lime fills for Crossing Up Oversold Level
6) Signals for Buying and Selling Pressure:
- Buy Pressure 1 and 2 are the smaller lime dots.
- Buy Pressure 1 and 2 together are the bigger lime dots.
- Buy Pressure 3 (Crossing Deviation Bands Up) are the blue dots.
- Sell Pressure 1 and 2 are the smaller red dots.
- Sell Pressure 1 and 2 together are the bigger red dots.
- Sell Pressure 3 (Crossing Deviation Bands Down) are the orange dots.
If there are more than one dot appearing at the same moment they will appear displaced in a vertical way at the same time.
If there is something wrong with the code or its calculations, please let me know.
If you want to modify or improve the code, feel free to do that, but please let me know the changes you made.
This Indicator is very accurate when using the Weekly Timeframe . I hope you enjoy it!
PowerOfStocks_5EMAThis indicator is based of Subhashish Pani's (power of stocks) 5 EMA Strategy.
It plots 5 EMA and Buy/Sell signals with Target & Stoploss levels.
What is Subhashish Pani's (power of stocks) 5 EMA Strategy :-
His strategy is very simple to understand. for intraday use 5 minutes timeframe for selling. You can sell futures, sell call or buy Puts in selling strategy.
What this strategy tries to do is , it tries to catch the tops, so when you sell at top & it turns out to be a reversal point then you can get good profit.
this will hit stop losses often, but stop losses are small and minimum target should be 1:3. but if you stay with the trend you can get big profits.
According to Subhashish Pani this strategy has 60% success rate.
Strategy for Selling (Short future/Call/stock or buy Put)
When ever a Candle closes completely above 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely above 5 ema and it has not broken the low of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the low of the Alert Candle we should take the Short trade (Short future/Call/stock or buy Put).
Stoploss will be above high of the Alert Candle and minimum target will be 1:3.
Strategy for Buying (Buy future/Call/stock or sell Put)
When ever a Candle closes completely below 5 ema (no part of candle should be touching the 5ema), then that candle should be considered as Alert Candle.
If the next candle is also completely below 5 ema and it has not broken the high of previous alert candle, Then the previous Alert Candle should be ignored and the new candle should be considered as new Alert Candle.
so if this goes on then continue shifting the Alert Candle, but whenever the next candle breaks the high of the Alert Candle we should take the Long trade (Buy future/Call/stock or sell Put).
Stoploss will be below low of the Alert Candle and minimum target will be 1:3.
Buy/Sell with extra conditions :
it just adds 1 more condition to buying/selling
1. checks if closing of current candle is lower than alert candles closing for Selling & checks if closing of current candle is higher than alert candles closing for Buyling.
This can sometimes save you from false moves but by using this, you can also miss out on big moves as you'll enter trade after candle closing instead of entering at break of high/low.
Note :- According to Subhashish Pani Timeframe for intraday buying should be 15 minutes Timeframe.
If you haven't understood the strategy by reading above description, then search for "Subhashish Pani's (power of stocks) 5 EMA Strategy" on youtube to get a deeper understanding.
Note:- This is not only for Intraday trading , you can use this strategy for Positional/Swing trading as well. If you use this on Monthly Timeframe then it can be very good for Long Term Investing as well.
Rules will be same for all types of trades & Timeframes.
TriexDev - SuperBuySellTrend (PLUS+)Minimal but powerful.
Have been using this for myself, so thought it would be nice to share publicly. Of course no script is correct 100% of the time, but this is one of if not the best in my basic tools. (This is the expanded/PLUS version)
Github Link for latest/most detailed + tidier documentation
Base Indicator - Script Link
TriexDev - SuperBuySellTrend (SBST+) TradingView Trend Indicator
---
SBST Plus+
Using the "plus" version is optional, if you only want the buy/sell signals - use the "base" version.
## What are vector candles?
Vector Candles (inspired to add from TradersReality/MT4) are candles that are colour coded to indicate higher volumes, and likely flip points / direction changes, or confirmations.
These are based off of PVSRA (Price, Volume, Support, Resistance Analysis).
You can also override the currency that this runs off of, including multiple ones - however adding more may slow things down.
PVSRA - From MT4 source:
Situation "Climax"
Bars with volume >= 200% of the average volume of the 10 previous chart TFs, and bars
where the product of candle spread x candle volume is >= the highest for the 10 previous
chart time TFs.
Default Colours: Bull bars are green and bear bars are red.
Situation "Volume Rising Above Average"
Bars with volume >= 150% of the average volume of the 10 previous chart TFs.
Default Colours: Bull bars are blue and bear are blue-violet.
A blue or purple bar can mean the chart has reached a top or bottom.
High volume bars during a movement can indicate a big movement is coming - or a top/bottom if bulls/bears are unable to break that point - or the volume direction has flipped.
This can also just be a healthy short term movement in the opposite direction - but at times sets obvious trend shifts.
## Volume Tracking
You can shift-click any candle to get the volume of that candle (in the pair token/stock), if you click and drag - you will see the volume for that range.
## Bollinger Bands
Bollinger Bands can be enabled in the settings via the toggle.
Bollinger Bands are designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold (bottom lines) or overbought (top lines).
>There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band.
>The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but they can be modified.
---
Base Indicator
## What is ATR?
The average true range (ATR) is a technical analysis indicator, which measures market volatility by decomposing the entire range of an asset price for that period.
The true range indicator is taken as the greatest of the following:
- current high - the current low;
- the absolute value of the current high - the previous close;
- and the absolute value of the current low - the previous close.
The ATR is then a moving average, generally using 10/14 days, of the true ranges.
## What does this indicator do?
Uses the ATR and multipliers to help you predict price volatility, ranges and trend direction.
> The buy and sell signals are generated when the indicator starts
plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
> It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
> A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it will be less effective in a sideways-moving market.
Thanks to KivancOzbilgic who made the original SuperTrend Indicator this was based off
---
## Usage Notes
Two indicators will appear, the default ATR multipliers are already set for what I believe to be perfect for this particular (double indicator) strategy.
If you want to break it yourself (I couldn't find anything that tested more accurately myself), you can do so in the settings once you have added the indicator.
Basic rundown:
- A single Buy/Sell indicator in the dim colour; may be setting a direction change, or just healthy movement.
- When the brighter Buy/Sell indicator appears; it often means that a change in direction (uptrend or downtrend) is confirmed.
---
You can see here, there was a (brighter) green indicator which flipped down then up into a (brighter) red sell indicator which set the downtrend. At the end it looks like it may be starting to break the downtrend - as the price is hitting the trend line. (Would watch for whether it holds above or drops below at that point)
Another example, showing how sometimes it can still be correct but take some time to play out - with some arrow indicators.
Typically I would also look at oscillators, RSI and other things to confirm - but here it held above the trend lines nicely, so it appeared to be rather obvious.
It's worth paying attention to the trend lines and where the candles are sitting.
Once you understand/get a feel for the basics of how it works - it can become a very useful tool in your trading arsenal.
Also works for traditional markets & commodities etc in the same way / using the same ATR multipliers, however of course crypto generally has bigger moves.
---
You can use this and other indicators to confirm likeliness of a direction change prior to the brighter/confirmation one appearing - but just going by the 2nd(brighter) indicators, I have found it to be surprisingly accurate.
Tends to work well on virtually all timeframes, but personally prefer to use it on 5min,15min,1hr, 4hr, daily, weekly. Will still work for shorter/other timeframes, but may be more accurate on mid ones.
---
This will likely be updated as I go / find useful additions that don't convolute things. The base indicator may be updated with some limited / toggle-able features in future also.
[VC] Cumulative Delta Histogram V1.0The V.C Cumulative Delta Histogram shows the market's ongoing Buying/Selling pressure. It helps to determine whether Supply or Demand is dominating and in control.
➤If the Cumulative Delta Increases, the buyers are in control.➚
➤If the Cumulative Delta Decreases, the sellers are in control.➘
The use cases for this Indicator are vast and correlated with our other Delta Indicators. The following examples will explain how to use this Indicator.
Example 1 EUR / USD
In the above example, Negative Cumulative Delta Decreased & Turned into Positive Cumulative Delta. That indicates that sellers are losing control & buyers are getting power.
As a confirmation on the ' 'Box Chart Histogram'' it is evident that Demand is also increasing.
And on ''Wave Chart Index'' as a 3rd confirmation, you can see that the Delta has also increased compared to previous waves.
Example 2
Positive Delta on Cumulative Delta Histogram is decreasing & Negative Delta started increasing.
On the Box Chart Histogram , Demand is decreasing & Supply is increasing.
Additionally, on the Wave Chart Index , the Delta of the wave is also decreasing.
(in short, besides ''Cumulative Delta Histogram," Box chart Histogram & Wave Chart Index is also adding additional confirmation)
Note: Two types of Delta sources are included in this Cumulative Delta Indicator.
Type A: Simple Delta
Type B: Delta %
Simple Delta is the difference between Net Buying - Selling pressure.
Delta % also works in the same calculation, but a Volume weighted algorithm is applied on it.
You may use any of them that suits your analysis.
VC Cumulative Delta Histogram Settings & Inputs
Source:
Allows you to choose the source, Between Simple Delta & Delta %.
Cumulative Length:
Allows you to Change the cumulative length.
Positive & Negative Color:
It allows you to change the colors.
Style Menue
Allows you to change the style & color of the histogram.
Disclaimer Note:
V.C Cumulative Delta Histogram It is purely Volume , Delta, Demand & Supply imbalance and comparative analysis-based tool. Before applying this Indicator to your study, you should know about Volume , Delta & Spread, Demand & Supply, and Aggressive & Passive behaviour of buyers/sellers.
Some basic understanding of Sir Richerd Wyckoff's Theory can also be helpful.
Rebalance as a Bear/Bull indicatorCheck if the current market has a Bear tendency or a Bull tendency.
Bear areas are marked as red squares going down from 0.
Bull areas are marked as green squares going up from 0.
Buying/Selling windows of opportunity
On top of the Bear/Bull squares, this indicator tries to show you the windows where to look for good buying/selling opportunities.
These are marked as full columns:
Blue columns represent a window to look out for good buying opportunities
Pink columns represent a window to look out for good selling opportunities
How is this possible?
This is an indicator of a simple idea to check if the market has a Bear or Bull tendency:
1. Start with a virtual portfolio of 60/40 tokens per fiat.
2. Rebalance it when its ratio oscillates by a given % (first input)
3. Count the number of times the rebalancer buys, and sells
4. When the number of buys is greater than the number of sells => the market is going down
5. When the number of sells is greater than the number of buys => the market is going up
This is shown as the "Bear/Bull Strength" squares (red when bear, green when bull)
An extra rebalancer is also kept that works at each bar (regardless of the input %).
This is used to calculate an amount of tokens beying sold/bought and used as a "market force" coefficient.
Another extra: based on both the bear/bull strengh and market force an attempt is made to
provide good buying/selling windows of analysis.
The blue background is a buying opportunity, the red background is a sell opportunity.
In a bear market sales are delayed, and in a bull market buys are delayed.
MRP WEEKLY LEVELIntraday Indicator: #MRP_WEEKLY_LEVEL
This indicator plots support and resistance levels based on fibonnaci levels for the entire week.
1. Understanding The Levels:
Intermediate Zone is two pink coloured lines.
Resistance is two blue coloured lines above intermdiate zone.
Support is two blue coloured lines below intermediate zone.
Buy target and Sell Target 1 & 2 are yellow and red coloured lines on both sides.
-Price is strong when it is above the Intermediate Zone.
-Price is weak when it is below the Intermediate Zone.
-Price remains range bound when it stays inside the Intermediate Zone.
-Price is very strong when it's above Weeky Resistance Zone
-Price is very weak when it's below Weekly Support Zone
-Buy Target & Sell Target are the zones where you should take or trail your profit.
2.For Buying/Selling:
-Buy only when 30min close above Resistance Zone . SL below Resistance Zone .
-If 30min close is in huge range, you can buy/sell after pullback to Resistance/ Support Zone .
-Also you can buy/sell if 30min close is above/below Buy/Sell target zone if you missed the rally.
-Sell only when the 30min close below Support Zone . SL above Support Zone .
MRP_DAILY_LEVELIntraday Indicator: #MRP_DAILY_LEVEL
This indicator plots support and resistance levels based on fibonnaci levels.
1. Understanding The Levels:
Intermediate Zone is two brown coloured lines.
Resistance is two red coloured lines.
Support is two green coloured lines.
Buy target and Sell Target are white coloured lines on both sides.
-Price is strong when it is above the Intermediate Zone.
-Price is weak when it is below the Intermediate Zone.
-Price remains range bound when it stays inside the Intermediate Zone.
-Price is very strong when it's above Resistance Zone
-Price is very weak when it's below Support Zone
-Buy Target & Sell Target are the zones where you should take or trail your profit.
2.For Buying/Selling:
-Buy only when 15min close above Resistance Zone. SL below Resistance Zone.
-If 15min close is in huge range, you can buy/sell after pullback to Resistance/Support Zone.
-Also you can buy/sell if 15min close is above/below Buy/Sell target zone if you missed the rally.
-Sell only when the 15min close below Support Zone. SL above Support Zone.
FlipSignalsFlipSignals is a TradingView indicator designed to help you make smarter, more efficient trading decisions by simplifying your trading. Specific symbols show up directly on price action to help you easily visualize trade setups and interpret market movement. The framework behind FlipSignals is systematic yet simple: First, establish a dominant trend with the Trend Level. Then, identify optimal entry points. With a complete understanding of FlipSignals you'll be able to confidently interpret and navigate any market with strong conviction.
Trend Level
The Trend Level is the step line that runs through price action and establishes a dominant directional trend, either green or red. When the Trend Level is green, buyers are in control and price action is bullish - suggesting buying pressure and higher prices. Conversely, when the Trend Level is red, sellers are in control and price action is bearish - suggesting selling pressure and lower prices.
During an uptrend, price action will trade above the Trend Level and use the Trend Level as support. Conversely in a downtrend, price action will trade below the Trend Level, which will act as resistance. When the Trend Level flat lines and flips from one color to another, this signals that price action is resting and could potentially indicate that the trend is shifting or consolidating for a continuation move.
The Trend Level can also be used as a trail stop level when you are in a position. For example, if you are long when the Trend Level is green and stair stepping higher, you can incrementally place your stop right below the Trend Level as price action increases in order to protect your unrealized profit.
Momentum Shifts - ShiftUp / ShiftDown
Small blue and orange triangles indicate short term momentum shifts in price action. When momentum shifts upwards, a small blue up triangle will appear below the candle and when momentum shifts downwards, a small orange, down triangle will appear above the candle.
ShiftUp and ShiftDown signals generally confirm short term tops/bottoms although consecutive momentum shifts within a short period of candles can indicate consolidation and stalled price action.
Buy/Sell XOB/XOS Levels
FlipSignals’ algorithm calculates a sentiment score that measures the net buying and selling in any given market. This score oscillates above and below zero identifying extended buying and selling pressure. A positive score indicates that buyers are in control whereas a negative score signals that sellers are in control.
FlipSignals generates buy and sell level Dot Clusters and Extreme Overbought/Oversold (XOB/XOS) symbols based on the sentiment score to easily visualize overextended buying or selling directly on price action candles.
Dot Clusters - Buy/Sell Levels
FlipSignals allows users to set 3 buy and 3 sell levels to determine when dot clusters will appear. Dot clusters will appear when sentiment score breaches each level.
Buy level dot clusters will appear below candles indicated by yellow and green circles, while sell level dot clusters will appear as yellow and red circles above candles.
Generally, dot clusters indicate that price action is extended one way or the other. Notice that buy dot clusters appear below the Trend Level while sell dot clusters appear above the Trend Level for the majority of the time.
Extreme Overbought/Oversold Signal
Extreme Overbought (XOB) signals will appear as neon green X's above the candle indicating price action has entered extreme overbought levels. Typically, XOB signals serve as a warning that prices could continue higher.
Extreme Oversold (XOS) signals will appear as red X's below the candle indicating price action has entered extreme oversold levels. Typically, XOS signals serve as a warning that prices could continue lower.
Generally, sentiment scores of +/-4 are considered extreme readings although this can vary by asset. User defined inputs of buy/sell and XOB/XOS levels determine when signals will appear.
Additional Support/Resistance Indicators Include:
VWAP
3 EMAs
3 SMAs
Weekly Pivot Points
Monthly Pivot Points
Quarterly Pivot Points
Previous Day OHLC
Please use the link below to our website to obtain access to this indicator.
Jackrabbit.modulus.TrailingThis is a full, true, and pure implementation of trailing buy/sell for the Jackrabbit suite and modulus framework.
This module is not a standalone and relies on previous modules to send a signal data in order to function properly. This module acts on buy and sell data from within the indicator on indicator framework that TradingView supports.
This module adds the ability to trail a buying position to its lowest value or if it breaks a retracement percentage (user defined). It also allows trailing a sell position with an user defined retracement. It can managing buy and selling or just buying or selling.
This module does NOT allow accumulation during the trailing process. If a buy signal is received while the module is already trailing a previous position, if the price is lower then the previous position, the current position is used, otherwise it is ignored. The same holds true for selling. Once the position is bought, accumulation will resume as normal for the next position.
The chart displays (for both buying and selling):
The current price, its retracement value, and the original price.
Note that the buy or sell does NOT actually take place until the price action crosses retracement.
The Jackrabbit modulus framework is a plug in play paradigm built to operate through TradingView's indicator on indicatior (IoI) functionality. As such, this script receives a signal line from the previous script in the IoI chain, and evaluates the buy/sell signals appropriate to the current analysis.
This script is by invitation only. To learn more about accessing this script, please see my signature or send me a PM. Thank you.
lineAlertslineAlerts is a powerful tool to define Buys, Sells and Buy-Sell lines for repeating actions.
The possibilities vary from 1 Buy and/or Sell to repetitive Buying and Selling at definable lines from a specified point in time (Year, Month, Day and Hour to begin).
lineAlerts provides:
+ optional StartBuy and optional EndSell
+ in repeat mode: optional definable ending-action (Buy or Sell, which overwrites Stop-Out/Abort)
+ buy- and sell Lines can be angled separately by using non-zero entries in the Angle %perDay parameter
+ configurable Stop Loss (Percentage, Stop-Out/Abort-Only, Flat or Angled like Buy-Sell-Lines)
+ profit calculation and effective alerts can be set further than the beginning time (ActiveAfter#Hours)
+ empty-bar-correction for lower-liquidity pairs on short timescales (automatically on)
+ optional visual extension to the right for currently active buy-sell lines
+ Slippage Max. Percentage parameter, added to order price for Buying, subtracted for Selling
(represented in the Buy-Sell markings and LastPrice lines, also calculated in Profit/Loss percentages)
+ Full Autoview Alerts automation in the Order parameters (for spot trading, this can be replaced with
your own API commands while creating or modifying the TradingView alerts):
- Separate order size entries for Buying and Selling
- Choice between Percentage or absolute Amount for both Buying and Selling
(choose the corresponding alert-drop-down option when creating an alert!)
The timeframe for running lineAlerts depends on the scale (duration) of the defined pattern.
Running on a very small resolution, e.g. 1-5 Min, is suitable for a pattern of a few days to a week at most.
This is because of the limited available historic data. Keeping your pattern lines shorter than a week on these micro-timeframes will produce accurate results/output. A pattern which may last a few weeks or even months can run flawlessly on a 1H resolution for example.
"Once per bar" is the best alert option in any case. To avoid multiple signals within 1 bar in highly volatile times, it is better to create the alert on the 1 or 4 Hour chart in stead of the daily chart for a pattern of multiple weeks for example.
lineAlerts is suitable for any timeframe on any chart which is open 24/7, like most crypto currencies.
My other published indicators contain a handy combination of new and classical indicators and oscillators.
With lineAlerts, the one defining the lines is in complete control. Results might indicate how good one is at defining trade patterns and at defining suitable stop losses, but lineAlerts is not an indicator as such.
lineAlerts is more something like a visually definable price-line alerter with various stop loss and ending options. There will be a video available with some more explaining.
WARNING:
Note that if an Autoview extension is active for the charted exchange and the according TradingView alerts are activated, it works right out of the box, so make sure to have all order decimals right...
GuidoN - December 2019, July 2020
Double EMA + Ma Pullback by vimel🧠 Combined Double EMA + MA Pullback Strategy
This indicator merges two popular trend-following and pullback trading concepts into a single, powerful tool:
🔹 1. Double EMA Pullback Logic
Uses two EMAs (default 20 & 50) to define trend direction.
Buy Signal: Triggered when price crosses above the shorter EMA and is above the longer EMA.
Sell Signal: Triggered when price crosses below the shorter EMA and is below the longer EMA.
Ideal for momentum-based trend continuation setups.
🔸 2. MA Cloud Pullback Strategy
Uses three EMAs to form a dynamic cloud zone.
Cloud Buy: Price dips into the cloud (pullback) and breaks out upward with bullish momentum.
Cloud Sell: Price rallies into the cloud and breaks down with bearish momentum.
Additional filters:
Candle body % strength (momentum validation).
Historical interaction with cloud (bar_limit lookback).
Designed to catch pullbacks within strong trends.
📈 Visuals
EMA lines and dynamic cloud with color fill.
Clear Buy and Sell markers for both systems:
D Buy / D Sell: Double EMA Pullback.
Buy / Sell: MA Cloud Pullback.
⚙️ Inputs
Fully customizable EMA lengths and sources.
Toggle each EMA independently.
Adjust candle strength % and backstep limit for fine-tuning entries.
📣 Ideal For
Trend traders who want both momentum and pullback confirmation.
Works well in strong directional markets (crypto, forex, indices).
Can be combined with volume or higher timeframe filters for added precision.
