CE_ZLSMA_5MIN_CANDLECHART-- Overview
The "CE_ZLSMA_5MIN_CANDLECHART" strategy, developed by DailyPanda, is a comprehensive trading strategy designed for analyzing trading on 5-minute candlestick charts.
It aims to use some indicators calculated from a Hekin Ashi chart, while running it on a normal candlestick chart, making sure that no price distortion affects the strategy results .
It also brings a feature to show, on the candlestick chart, where the entries would take place on the HA chart, to also be able to study the effect that the price distortion would make on your backtest.
-- Credit
The code in this script is based on open-source indicators originally written by veryfid and everget, I've made significant changes and additions to the scripts but all credit for the idea goes to them, I just built on top of it:
-- Key Features
It incorporate already built indicators (ZLSMA) and CandelierExit (CE)
-- Zero Lag Least Squares Moving Average (ZLSMA) - by veryfid
The ZLSMA is used to detect trends with minimal lag, improving the accuracy of entry and exit signals.
It incorporates a double-smoothed linear regression to minimize lag and enhance trend-following capabilities.
Buy signals are generated when the price closes above the ZLSMA together with the CE signal.
It is calculated based on the HA candlestick pattern.
-- Chandelier Exit (CE) - by everget
The Chandelier Exit indicator is used to dynamically manage stop-loss levels based on the Average True Range (ATR).
It ensures that stop-loss levels are adaptive to market volatility, protecting profits and limiting losses.
The ATR period and multiplier can be customized to fit different trading styles and risk tolerances.
It is calculated based on the HA candlestick pattern.
-- Heikin Ashi Candles
The strategy leverages Heikin Ashi candlesticks to be able identify trends more clearly and leverage this to stay on winning trades longer.
Traders can choose to display Heikin Ashi candlesticks and order fills on the chart for better visualization.
-- Risk Management
The strategy includes multiple risk management options to protect traders' capital.
Maximum intraday loss limit based on a percentage of equity.
Maximum stop-loss in points to filter out entries with excessive risk.
Daily profit target to stop trading once the goal is achieved.
Options to use fixed contract sizes or dynamically adjust based on a percentage of equity.
These features help traders manage risk and ensure sustainable trading practices.
Moving Averages
Several moving averages (EMA 9, EMA 20, EMA 50, EMA 72, EMA 200, SMA 200, and SMA 500) are plotted to provide additional context and trend confirmation.
A "Zone of Value" is highlighted between the EMA 200 and SMA 200 to identify potential support and resistance areas.
-- Customizable Inputs
The strategy includes various customizable inputs, allowing traders to tailor it to their specific needs.
Start and stop trading times.
Risk management parameters (e.g., maximum stop-loss, daily drawdown limit, and daily profit target).
Display options for Heikin Ashi candles and moving averages.
ZLSMA length and offset.
-- Usage
-- Setting Up the Strategy
Configure the start year for the strategy and the trading hours using the input fields. The first candle of each day will be filled black for easy identification, while candles that are outside the allowed time range will be filled purple.
Customize the risk management parameters to match your risk tolerance and trading style.
Enable or disable the display of Heikin Ashi candlesticks and moving averages as desired.
-- Interpreting Signals
Buy signals are indicated by a "Buy" label when the Heikin Ashi close price is above the ZLSMA and the Chandelier Exit indicates a long position.
The strategy will automatically enter a long position with a stop-loss level determined the swing low.
Positions are closed when the close price falls below the ZLSMA.
-- Risk Management
The strategy monitors the maximum intraday loss and stops trading if the loss limit is reached.
If enabled, also stops trading once the daily profit target is achieved, helping to lock in gains.
You have the option to filter operations based on a maximum accepted stop-loss level, based on your risk tolerance.
You can also operate with a fixed amount of contracts or dynamically adjust it based on your allowed risk per trade, ensuring optimal protection of capital.
-- Visual Aids
The strategy plots various moving averages to provide additional trend context.
The "Zone of Value" between the EMA 200 and SMA 200 highlights potential support and resistance areas.
Heikin Ashi candlesticks and order fills can be displayed to enhance the difference this strategy would take if you were to backtest it on a Heikin Ashi chart.
-- Table of results
This strategy also breaks down the results on a monthly basis for better understanding of your capital development along the way.
-- Conclusion
The "CE_ZLSMA_5MIN_CANDLECHART" strategy is a tool for intraday traders looking to understand and leaverage the Heikin Ashi chart while still using the normal candle chart. Traders can customize the strategy to fit their specific needs, making it a versatile addition to any trading toolkit.
Chart patterns
MTF Regime Filter II [CHE]Regime Filter II - Comprehensive Guide
Introduction
The "Regime Filter II " indicator is a tool designed to help traders identify market trends by smoothing price data and applying a color scheme to visualize bullish and bearish conditions. This guide provides a detailed explanation of the script's functionality, benefits, and how to use it effectively in TradingView.
Key Benefits
1. Trend Identification: Smooths price data to highlight underlying trends, making it easier for traders to spot potential buying or selling opportunities.
2. Visual Clarity: Uses distinct color schemes to differentiate between bullish and bearish market conditions, enhancing visual analysis.
3. Customization: Offers various settings to adjust smoothing and averaging lengths, choose between different color schemes, and set visibility for different timeframes.
4. Neutral Candle Option: Provides an option to display neutral candles for clearer visual representation when market conditions are neither strongly bullish nor bearish.
5. Timeframe Adaptability: Includes functions to determine appropriate step sizes based on different timeframes, ensuring the indicator remains accurate across various trading periods.
Script Breakdown
1. Indicator Declaration
The script starts by declaring itself as a TradingView indicator using the latest version of Pine Script. This sets up the framework for the indicator's functionality.
2. User Inputs for Smoothing and Averaging Lengths
The script allows users to input specific lengths for smoothing and averaging intervals. These inputs are crucial for determining how the price data is processed to identify trends. By adjusting these lengths, users can fine-tune the sensitivity of the indicator to market movements.
3. Color Scheme Selection
Users can choose between two color schemes: "Traditional" and "WT1 0 Rule". The selected color scheme will determine how the indicator colors the candles to represent bullish and bearish conditions. This customization enhances the visual appeal and usability of the indicator according to personal preferences.
4. Settings for Timeframe Visibility
The script includes settings that allow users to specify which timeframes the indicator should be visible on. This feature helps traders focus on the most relevant timeframes for their trading strategies. Additionally, users can set the number of recent candles to display, providing a clear view of the most recent market trends.
5. Color Definitions
The indicator defines specific colors for bearish and bullish candles. Bearish candles are colored red, while bullish candles are green. These color definitions are applied based on the selected color scheme and the calculated trend, providing a quick visual reference for market conditions.
6. Time Constants
To manage different timeframes effectively, the script uses constants that represent various time intervals in milliseconds, such as minutes, hours, and days. These constants are used to convert timeframes into a format that the script can work with to determine the appropriate step size for calculations.
7. Step Size Determination
The script includes a function that determines the step size based on the selected timeframe. This function ensures that the indicator adapts to different timeframes, maintaining its accuracy and relevance across various trading periods. The step size is calculated based on time intervals, and appropriate labels (like "60", "240", "1D") are assigned.
- For timeframes less than or equal to 1 minute, the step size is set to "60".
- For timeframes less than or equal to 5 minutes, the step size is set to "240".
- For timeframes less than or equal to 1 hour, the step size is set to "1D" (daily).
- For timeframes less than or equal to 4 hours, the step size is set to "3D" (three days).
- For timeframes less than or equal to 12 hours, the step size is set to "7D" (weekly).
- For timeframes less than or equal to 1 day, the step size is set to "1M" (monthly).
- For timeframes less than or equal to 1 week, the step size is set to "3M" (three months).
- For all other timeframes, the step size is set to "12M" (yearly).
8. Trend Calculation
The core of the indicator is its ability to calculate market trends. Here's a detailed breakdown of how the `calculateTrend` function works:
- Initialization: Variables for the middle price and scale, and summations of high/low prices and ranges, are initialized.
- Summation Loop: A loop runs over the smoothing length to calculate the sum of high and low prices and their range.
- Middle and Scale Calculation: The middle price is determined as the average of high/low sums, and the scale is calculated as a fraction of the average range.
- Normalization: The high, low, and close prices are normalized based on the middle price and scale.
- HT Calculation: The normalized prices are smoothed using a simple moving average (SMA).
- Frequency and Exponential Calculations: The frequency and related constants (a, c1, c2, c3) are calculated for further smoothing.
- Smoothed Moving Average (SMA): A smoothed moving average is computed using the HT values and exponential constants.
- WT1 and WT2 Calculation: The final smoothed values (WT1) and their average (WT2) are derived.
9. Color Application Based on Trend
Once the trend is calculated, the script applies the appropriate color to the candles based on the selected color scheme. This function ensures that the visual representation of the trend is consistent with the user’s preferences.
10. Label Plotting for Timeframes
If the option to display timeframe labels is enabled, the script plots labels on the chart to indicate the current timeframe. This feature helps users quickly identify which timeframe they are analyzing.
11. Shape Plotting Based on Trend and Color Scheme
The indicator plots shapes (squares) on the chart based on the calculated trend and selected color scheme. These shapes provide an additional visual cue for market conditions, enhancing the overall clarity of the indicator.
12. Neutral Candle Color Option
The script includes an option to set the color of neutral candles when market conditions are neither strongly bullish nor bearish. This option helps traders better visualize periods of market indecision.
Summary
The "Regime Filter II " is a powerful and customizable tool for traders, offering clear visual cues for market trends and adaptability to various timeframes. By smoothing price data and applying intuitive color schemes, it helps traders make more informed decisions. With features like adjustable smoothing lengths, multiple color schemes, and optional neutral candle displays, this indicator enhances market analysis and trading strategy development. By following this comprehensive guide, traders can effectively utilize the "Regime Filter II " indicator to enhance their market analysis and make more informed trading decisions.
Best regards
ICT Balance Price Range [UAlgo]The "ICT Balance Price Range " indicator identifies and visualizes potential balance price ranges (BPRs) on a price chart. These ranges are indicative of periods where the market exhibits balance between bullish and bearish forces, often preceding significant price movements.
🔶 What is Balanced Price Range (BPR) ?
Balanced Price Range is a concept based on Fair Value Gap. Balanced price range (BPR) is the area on price chart where two opposite fair value gaps overlap.
When price approaches the Balanced Price Range (BPR), we assume that the price will react quickly and strongly here. This is because its the combination of two fair value gaps and being a good point of interest for smart money traders.
🔶 Key Features:
Bars to Consider: Determines the number of bars to evaluate for BPR conditions.
Threshold for BPR: Sets the minimum range required for a valid BPR to be identified.
Remove Old BPR: Option to automatically remove invalidated BPRs from the chart.
Bearish/Bullish Box Color: Customizable colors for visual representation of bearish and bullish BPRs.
🔶 Disclaimer
This indicator is provided for educational and informational purposes only.
It should not be considered as financial advice or a recommendation to buy or sell any financial instrument.
The use of this indicator involves inherent risks, and users should employ their own judgment and conduct their own research before making any trading decisions. Past performance is not indicative of future results.
🔷 Related Scripts
Fair Value Gaps (FVG)
Smart Money Concept Strategy - Uncle SamThis strategy combines concepts from two popular TradingView scripts:
Smart Money Concepts (SMC) : The strategy identifies key levels in the market (swing highs and lows) and draws trend lines to visualize potential breakouts. It uses volume analysis to gauge the strength of these breakouts.
Smart Money Breakouts : This part of the strategy incorporates the idea of "Smart Money" – institutional traders who often lead market movements. It looks for breakouts of established levels with significant volume, aiming to catch the beginning of new trends.
How the Strategy Works:
Identification of Key Levels: The script identifies swing highs and swing lows based on a user-defined lookback period. These levels are considered significant points where price has reversed in the past.
Drawing Trend Lines: Trend lines are drawn connecting these key levels, creating a visual representation of potential support and resistance zones.
Volume Analysis: The script analyzes the volume during the formation of these levels and during breakouts. Higher volume suggests stronger moves and increases the probability of a successful breakout.
Entry Conditions:
Long Entry: A long entry is triggered when the price breaks above a resistance line with significant volume, and the moving average trend filter (optional) is bullish.
Short Entry: A short entry is triggered when the price breaks below a support line with significant volume, and the moving average trend filter (optional) is bearish.
Exit Conditions:
Stop Loss: Customizable stop loss percentages are implemented to protect against adverse price movements.
Take Profit: Customizable take profit percentages are used to lock in profits.
Credits and Compliance:
This strategy is inspired by the concepts and code from "Smart Money Concepts (SMC) " and "Smart Money Breakouts ." I've adapted and combined elements of both scripts to create this strategy. Full credit is given to the original authors for their valuable contributions to the TradingView community.
To comply with TradingView's House Rules, I've made the following adjustments:
Clearly Stated Inspiration: The description explicitly mentions the original scripts and authors as the inspiration for this strategy.
No Direct Copying: The code has been modified and combined, not directly copied from the original scripts.
Educational Purpose: The primary purpose of this strategy is for learning and backtesting. It's not intended as financial advice.
Important Note:
This strategy is intended for educational and backtesting purposes only. It should not be used for live trading without thorough testing and understanding of the underlying concepts. Past performance is not indicative of future results.
Gold Option Signals with EMA and RSIIndicators:
Exponential Moving Averages (EMAs): Faster to respond to recent price changes compared to simple moving averages.
RSI: Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Signal Generation:
Buy Call Signal: Generated when the short EMA crosses above the long EMA and the RSI is not overbought (below 70).
Buy Put Signal: Generated when the short EMA crosses below the long EMA and the RSI is not oversold (above 30).
Plotting:
EMAs: Plotted on the chart to visualize trend directions.
Signals: Plotted as shapes on the chart where conditions are met.
RSI Background Color: Changes to red for overbought and green for oversold conditions.
Steps to Use:
Add the Script to TradingView:
Open TradingView, go to the Pine Script editor, paste the script, save it, and add it to your chart.
Interpret the Signals:
Buy Call Signal: Look for green labels below the price bars.
Buy Put Signal: Look for red labels above the price bars.
Customize Parameters:
Adjust the input parameters (e.g., lengths of EMAs, RSI levels) to better fit your trading strategy and market conditions.
Testing and Validation
To ensure that the script works as expected, you can test it on historical data and validate the signals against known price movements. Adjust the parameters if necessary to improve the accuracy of the signals.
US M2### Relevance and Functionality of the "US M2" Indicator
#### Relevance
The "US M2" indicator is relevant for several reasons:
1. **Macro-Economic Insight**: The M2 money supply is a critical indicator of the amount of liquidity in the economy. Changes in M2 can significantly impact financial markets, including equities, commodities, and cryptocurrencies.
2. **Trend Identification**: By analyzing the M2 money supply with moving averages, the indicator helps identify long-term and short-term trends, providing insights into economic conditions and potential market movements.
3. **Trading Signals**: The indicator generates bullish and bearish signals based on moving average crossovers and the difference between current M2 values and their moving averages. These signals can be useful for making informed trading decisions.
#### How It Works
1. **Data Input**:
- **US M2 Money Supply**: The indicator fetches the US M2 money supply data using the "USM2" symbol with a monthly resolution.
2. **Moving Averages**:
- **50-Period SMA**: Calculates the Simple Moving Average (SMA) over 50 periods (months) to capture short-term trends.
- **200-Period SMA**: Calculates the SMA over 200 periods to identify long-term trends.
3. **Difference Calculation**:
- **USM2 Difference**: Computes the difference between the current M2 value and its 50-period SMA to highlight deviations from the short-term trend.
4. **Amplification**:
- **Amplified Difference**: Multiplies the difference by 100 to make the deviations more visible on the chart.
5. **Bullish and Bearish Conditions**:
- **Bullish Condition**: When the current M2 value is above the 50-period SMA, indicating a positive short-term trend.
- **Bearish Condition**: When the current M2 value is below the 50-period SMA, indicating a negative short-term trend.
6. **Short-Term SMA of Amplified Difference**:
- **14-Period SMA**: Applies a 14-period SMA to the amplified difference to smooth out short-term fluctuations and provide a clearer trend signal.
7. **Plots and Visualizations**:
- **USM2 Plot**: Plots the US M2 data for reference.
- **200-Period SMA Plot**: Plots the long-term SMA to show the broader trend.
- **Amplified Difference Histogram**: Plots the amplified difference as a histogram with green bars for bullish conditions and red bars for bearish conditions.
- **SMA of Amplified Difference**: Plots the 14-period SMA of the amplified difference to track the trend of deviations.
8. **Moving Average Cross Signals**:
- **Bullish Cross**: Plots an upward triangle when the 50-period SMA crosses above the 200-period SMA, signaling a potential long-term uptrend.
- **Bearish Cross**: Plots a downward triangle when the 50-period SMA crosses below the 200-period SMA, signaling a potential long-term downtrend.
### Summary
The "US M2" indicator provides a comprehensive view of the US M2 money supply, highlighting significant trends and deviations. By combining short-term and long-term moving averages with amplified difference analysis, it offers valuable insights and trading signals based on macroeconomic liquidity conditions.
BTC x M2 Divergence (Weekly)### Why the "M2 Money Supply vs BTC Divergence with Normalized RSI" Indicator Should Work
IMPORTANT
- Weekly only indicator
- Combine it with BTC Halving Cycle Profit for better results
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator leverages the relationship between macroeconomic factors (M2 money supply) and Bitcoin price movements, combined with technical analysis tools like RSI, to provide actionable trading signals. Here's a detailed rationale on why this indicator should be effective:
1. **Macroeconomic Influence**:
- **M2 Money Supply**: Represents the total money supply, including cash, checking deposits, and easily convertible near money. Changes in M2 reflect liquidity in the economy, which can influence asset prices, including Bitcoin.
- **Bitcoin Sensitivity to Liquidity**: Bitcoin, being a digital asset, often reacts to changes in liquidity conditions. An increase in money supply can lead to higher asset prices as more money chases fewer assets, while a decrease can signal tightening conditions and lower prices.
2. **Divergence Analysis**:
- **Economic Divergence**: The indicator calculates the divergence between the percentage changes in M2 and Bitcoin prices. This divergence can highlight discrepancies between Bitcoin's price movements and broader economic conditions.
- **Market Inefficiencies**: Large divergences may indicate inefficiencies or imbalances that could lead to price corrections or trends. For example, if M2 is increasing (indicating more liquidity) but Bitcoin is not rising proportionately, it might suggest a potential upward correction in Bitcoin's price.
3. **Normalization and Smoothing**:
- **Normalized Divergence**: Normalizing the divergence to a consistent scale (-100 to 100) allows for easier comparison and interpretation over time, making the signals more robust.
- **Smoothing with EMA**: Applying Exponential Moving Averages (EMAs) to the normalized divergence helps to reduce noise and identify the underlying trend more clearly. This double-smoothed divergence provides a clearer signal by filtering out short-term volatility.
4. **RSI Integration**:
- **RSI as a Momentum Indicator**: RSI measures the speed and change of price movements, indicating overbought or oversold conditions. Normalizing the RSI and incorporating it into the divergence analysis helps to confirm the strength of the signals.
- **Combining Divergence with RSI**: By using RSI in conjunction with divergence, the indicator gains an additional layer of confirmation. For instance, a bullish divergence combined with an oversold RSI can be a strong buy signal.
5. **Dynamic Zones and Sensitivity**:
- **Good DCA Zones**: Highlighting zones where the divergence is significantly positive (good DCA zones) indicates periods where Bitcoin might be undervalued relative to economic conditions, suggesting good buying opportunities.
- **Red Zones**: Marking zones with extremely negative divergence, combined with RSI confirmation, identifies potential market tops or bearish conditions. This helps traders avoid buying into overbought markets or consider selling.
- **Peak Detection**: The sensitivity setting for detecting upside down peaks allows for early identification of potential market bottoms, providing timely entry points for traders.
6. **Visual Cues and Alerts**:
- **Clear Visualization**: The plots and background colors provide immediate visual feedback, making it easier for traders to spot significant conditions without deep analysis.
- **Alerts**: Built-in alerts for key conditions (good DCA zones, red zones, sell signals) ensure traders can act promptly based on the indicator's signals, enhancing the practicality of the tool.
### Conclusion
The "M2 Money Supply vs BTC Divergence with Normalized RSI" indicator integrates macroeconomic data with technical analysis to offer a comprehensive view of Bitcoin's market conditions. By analyzing the divergence between M2 money supply and Bitcoin prices, normalizing and smoothing the data, and incorporating RSI for momentum confirmation, the indicator provides robust signals for identifying potential buying and selling opportunities. This holistic approach increases the likelihood of capturing significant market movements and making informed trading decisions.
Sniper Entry using RSI confirmationThis is a sniper entry indicator that provides Buy and Sell signals using other Indicators to give the best possible Entries (note: Entries will not be 100 percent accurate and analysis should be done to support an entry)
Moving Average Crossovers:
The indicator uses two moving averages: a short-term SMA (Simple Moving Average) and a long-term SMA.
When the short-term SMA crosses above the long-term SMA, it generates a buy signal (indicating potential upward momentum).
When the short-term SMA crosses below the long-term SMA, it generates a sell signal (indicating potential downward momentum).
RSI Confirmation:
The indicator incorporates RSI (Relative Strength Index) to confirm the buy and sell signals generated by the moving average crossovers.
RSI is used to gauge the overbought and oversold conditions of the market.
A buy signal is confirmed if RSI is below a specified overbought level, indicating potential buying opportunity.
A sell signal is confirmed if RSI is above a specified oversold level, indicating potential selling opportunity.
Dynamic Take Profit and Stop Loss:
The indicator calculates dynamic take profit and stop loss levels based on the Average True Range (ATR).
ATR is used to gauge market volatility, and the take profit and stop loss levels are adjusted accordingly.
This feature helps traders to manage their risk effectively by setting appropriate profit targets and stop loss levels.
Combining the information provided by these, the indicator will provide an entry point with a provided take profit and stop loss. The indicator can be applied to different asset classes. Risk management must be applied when using this indicator as it is not 100% guaranteed to be profitable.
Goodluck!
Percentile Nearest Rank Without Arrays [CHE] Presentation of the "Percentile Nearest Rank Without Arrays " Indicator
The "Percentile Nearest Rank Without Arrays " is a robust trading indicator designed to calculate the percentile value of a specific price within a defined time frame. This indicator provides traders with a visual representation that helps identify market trends and potential turning points.
Key Features and Functions:
- Percentile Calculation: The indicator calculates the percentile of the closing price within a specified period (default length is 15 periods). This allows traders to view the current price in the context of its historical distribution.
- Customizable Parameters: Traders can adjust the length of the observed period and the desired percentile value, making the analysis more tailored to their trading strategies.
- Color-Coded Visualization: The indicator uses color coding to signal whether the current closing price is above (green) or below (red) the calculated percentile value, providing visual clarity and quick decision-making.
- Efficiency Without Arrays: By avoiding the use of arrays, the indicator is more efficient in terms of computation and memory usage. This results in faster performance, especially when dealing with large datasets or real-time data.
Importance for Traders:
1. Trend Identification: By analyzing whether the current price is above or below a specific percentile value, traders can identify trends early and act accordingly.
2. Risk Management: The indicator helps traders better understand volatility and price distribution, leading to more effective risk management.
3. Trading Strategies: It can be used as part of trading strategies to identify entry and exit points based on statistical distributions.
4. Simplicity and Efficiency: As the indicator operates without the use of arrays, it is more efficient and simpler to implement, reducing computation time and improving the performance of the trading platform.
Scientific Explanation of Percentile Nearest Rank:
The Percentile Nearest Rank method is a statistical technique used to determine the relative standing of a value within a data set. For a given dataset of length \( n \) and a desired percentile \( p \), the method follows these steps:
1. Index Calculation: The index corresponding to the desired percentile is calculated using the formula:
index = ( p / 100 n ) -1
where "ceiling" denotes rounding up to the nearest integer.
2. Value Sorting: The values in the dataset are conceptually sorted from smallest to largest.
3. Count Comparison: For each value in the dataset, count how many values are smaller. When the count matches the calculated index, the value at this position is the percentile value.
4. Result Assignment: The value identified as the percentile value is then used for further analysis or plotting.
This method is advantageous for trading because it provides a non-parametric way to understand price distributions, making it less sensitive to outliers and more robust in volatile markets.
Scientific Context and Utility:
- Statistical Robustness: Unlike mean and median, the percentile provides a robust measure of the data distribution, less influenced by extreme values. This robustness is crucial for traders dealing with volatile markets.
- Non-Parametric Analysis: Percentiles do not assume any underlying distribution (e.g., normal distribution) of the data, making the analysis more flexible and broadly applicable.
- Quantitative Decision Making: By using percentiles, traders can make data-driven decisions based on the relative standing of current prices within historical data, enhancing the objectivity of their strategies.
- Efficiency Without Arrays: Avoiding the use of arrays reduces memory consumption and computational overhead, making the indicator more suitable for real-time applications and large datasets. This improves overall performance and responsiveness on trading platforms, which is crucial for making timely trading decisions.
In summary, the "Percentile Nearest Rank Without Arrays " indicator is a powerful tool for traders seeking to integrate statistical price distribution insights into their trading strategies. It provides a robust, non-parametric, and visually intuitive method to analyze market trends and volatility, while offering enhanced computational efficiency by avoiding the use of arrays.
HPotter Last PriceIf you, like me, like to watch the market in real time for a long time, then this script will be useful to you. Stay tuned.
A script that helps you navigate the current price and the latest highs and lows
IMPORTANT: For the script to work correctly, you must enable "On every tick" in Preoperties.
Throw it on any chart.
On the right appears:
white price - last transaction price
green price - current high that has not been reached (looks at bars in history)
red price - current low that has not been reached (looks at bars in history)
yellow price - new high or low installed
QuasimodoThis indicator helps traders spot certain patterns on a price chart that might indicate a change in price direction. These patterns are known as "engulfing patterns."
How It Works1.
Bullish Engulfing Patterns:- The current bar (or candle) closes higher than it opens (it's a green or white candle).- The previous bar closed lower than it opened (it was a red or black candle).- The current bar's high is higher than the previous bar's high, and its low is lower than the previous bar's low.- There's another variation where both the current and previous bars are green, but the current bar is still higher and lower than the previous one.
2. Bearish Engulfing Patterns:- The current bar closes lower than it opens (it's a red or black candle).- The previous bar closed higher than it opened (it was a green or white candle).- The current bar's low is lower than the previous bar's low, and its high is higher than the previous bar's high.- There's another variation where both the current and previous bars are red, but the current bar is still higher and lower than the previous one.
What It Shows-
When the indicator spots one of these patterns, it colors the previous candle:-
Yellow for a bullish pattern (price might go up).-
Pink for a bearish pattern (price might go down).
Alerts- The indicator can also send an alert to let you know when it finds one of these patterns, so you don't miss it.
Han Algo - Moving average strategyHan Algo Indicator Strategy Description
Overview:
The Han Algo Indicator is designed to identify trend directions and signal potential buy and sell opportunities based on moving average crossovers. It aims to provide clear signals while filtering out noise and minimizing false signals.
Indicators Used:
Moving Averages:
200 SMA (Simple Moving Average): Used as a long-term trend indicator.
100 SMA: Provides a medium-term perspective on price movements.
50 SMA: Offers insights into shorter-term trends.
20 SMA: Provides a very short-term perspective on recent price actions.
Trend Identification:
The indicator identifies the trend based on the relationship between the closing price (close) and the 200 SMA (ma_long):
Uptrend: When the closing price is above the 200 SMA.
Downtrend: When the closing price is below the 200 SMA.
Sideways: When the closing price is equal to the 200 SMA.
Buy and Sell Signals:
Buy Signal: Generated when transitioning from a downtrend to an uptrend (buy_condition):
Displayed as a green "BUY" label above the price bar.
Sell Signal: Generated when transitioning from an uptrend to a downtrend (sell_condition):
Displayed as a red "SELL" label below the price bar.
Signal Filtering:
Signals are filtered to prevent consecutive signals occurring too closely (min_distance_bars parameter):
Ensures that only significant trend reversals are captured, minimizing false signals.
Visualization:
Background Color:
Changes to green for uptrend and red for downtrend (bgcolor function):
Provides visual cues for current market sentiment.
Usage:
Traders can customize the indicator's parameters (long_term_length, medium_term_length, short_term_length, very_short_term_length, min_distance_bars) to align with their trading preferences and timeframes.
The Han Algo Indicator helps traders make informed decisions by highlighting potential trend reversals and aligning with market trends identified through moving average analysis.
Disclaimer:
This indicator is intended for educational purposes and as a visual aid to support trading decisions. It should be used in conjunction with other technical analysis tools and risk management strategies.
ET's FlagsPurpose:
This Pine Script is designed for the TradingView platform to identify and visually highlight specific technical chart patterns known as "Bull Flags" and "Bear Flags" on financial charts. These patterns are significant in trading as they can indicate potential continuation trends after a brief consolidation. The script includes mechanisms to manage signal frequency through a cooldown period, ensuring that the trading signals are not excessively frequent and are easier to interpret.
Functionality:
Input Parameters:
flagpole_length: Defines the number of bars to consider when identifying the initial surge in price, known as the flagpole.
flag_length: Determines the number of bars over which the flag itself is identified, representing a period of consolidation.
percent_change: Sets the minimum percentage change required to validate the presence of a flagpole.
cooldown_period: Specifies the number of bars to wait before another flag can be identified, reducing the risk of overlapping signals.
Percentage Change Calculation:
The script calculates the percentage change between two price points using a helper function percentChange(start, end). This function is crucial for determining whether the price movement within the specified flagpole_length meets the threshold set by percent_change, thus qualifying as a potential flagpole.
Flagpole Identification:
Bull Flagpole: Identified by finding the lowest close price over the flagpole_length and determining if the subsequent price rise meets or exceeds the specified percent_change.
Bear Flagpole: Identified by finding the highest close price over the flagpole_length and checking if the subsequent price drop is sufficient as per the percent_change.
Flag Identification:
After identifying a flagpole, the script assesses if the price action within the next flag_length bars consolidates in a manner that fits a flag pattern. This involves checking if the price fluctuation stays within the bounds set by the percent_change.
Signal Plotting:
If a bull or bear flag pattern is confirmed, and the cooldown period has passed since the last flag of the same type was identified, the script plots a visual shape on the chart:
Green shapes below the price bar for Bull Flags.
Red shapes above the price bar for Bear Flags.
Line Drawing:
For enhanced visualization, the script draws lines at the high and low prices of the flag during its formation period. This visually represents the consolidation phase of the flag pattern.
Debugging Labels:
The script optionally displays labels at the flag formation points, showing the exact percentage change achieved during the flagpole formation. This feature aids users in understanding why a particular segment of the price chart was identified as a flag.
Compliance and Usage:
This script does not automate trading but provides visual aids and potential signals based on historical price analysis. It adheres to TradingView's scripting policies by only accessing publicly available price data and user-defined parameters without executing trades or accessing any external data.
Conclusion:
This Pine Script is a powerful tool for traders who follow technical analysis, offering a clear, automated way to spot potential continuation patterns in the markets they monitor. By emphasizing visual clarity and reducing signal redundancy through cooldown periods, the script enhances decision-making processes for chart analysis on TradingView.
Inside Bar Setup [as]Inside Bar Setup Indicator Description
The **Inside Bar Setup ** indicator is a powerful tool for traders to identify and visualize inside bar patterns on their charts. An inside bar pattern occurs when the current candle's high is lower than the previous candle's high, and the current candle's low is higher than the previous candle's low. This pattern can indicate a potential breakout or a continuation of the existing trend.
Key Features:
1. **Highlight Inside Bar Patterns:**
- The indicator highlights inside bar patterns with distinct colors for bullish and bearish bars. Bullish inside bars are colored with the user-defined bull bar color (default lime), and bearish inside bars are colored with the user-defined bear bar color (default maroon).
2. **Marking Mother Candle High and Low:**
- The high and low of the mother candle (the candle preceding the inside bar) are marked with horizontal lines. The high is marked with a green line, and the low is marked with a red line.
- These levels are labeled as "Range High" and "Range Low" respectively, with the labels displayed a few bars to the right for clarity. The labels have a semi-transparent background for better visibility.
3. **Target Levels:**
- The indicator calculates and plots potential target levels (T1 and T2) for both long and short positions based on user-defined multipliers of the mother candle's range.
- For long positions, T1 and T2 are plotted above the mother candle's high.
- For short positions, T1 and T2 are plotted below the mother candle's low.
- These target levels are optional and can be toggled on or off via the input settings.
4. **Customizable Inputs:**
- **Colors:**
- Bull Bar Color: Customize the color for bullish inside bars.
- Bear Bar Color: Customize the color for bearish inside bars.
- **Long Targets:**
- Show Long T1: Toggle the display of the first long target.
- Show Long T2: Toggle the display of the second long target.
- Long T1: Multiplier for the first long target above the mother candle's high.
- Long T2: Multiplier for the second long target above the mother candle's high.
- **Short Targets:**
- Show Short T1: Toggle the display of the first short target.
- Show Short T2: Toggle the display of the second short target.
- Short T1: Multiplier for the first short target below the mother candle's low.
- Short T2: Multiplier for the second short target below the mother candle's low.
5. **New Day Detection:**
- The indicator detects the start of a new day and clears the inside bar arrays, ensuring that the pattern detection is always current.
#### Usage:
- Add the indicator to your TradingView chart.
- Customize the inputs to match your trading strategy.
- Watch for highlighted inside bars to identify potential breakout opportunities.
- Use the marked range highs and lows, along with the calculated target levels, to plan your trades.
This indicator is ideal for traders looking to capitalize on inside bar patterns and their potential breakouts. It provides clear visual cues and customizable settings to enhance your trading decisions.
Note:
This indicator is based on famous 15 min inside bar strategy shared by Subashish Pani on his youtube channel Power of stocks. Please watch his videos to use this indicator for best results.
First 12 Candles High/Low BreakoutThis indicator identifies potential breakout opportunities based on the high and low points formed within the first 12 candles after the market opens on a 5-minute timeframe. It provides visual cues and labels to help traders make informed decisions.
Features:
Market Open High/Low: Marks the highest and lowest price of the first 12 candles following the market open with horizontal lines for reference.
Breakout Signals: Identifies potential buy or sell signals based on the first 5-minute candle closing above the open high or below the open low.
Target and Stop-Loss: Plots horizontal lines for target prices (100 points by default, adjustable) and stop-loss levels (100 points by default, adjustable) based on the entry price.
Visual Cues: Uses green triangles (up) for buy signals and red triangles (down) for sell signals.
Informative Labels: Displays labels with "Buy" or "Sell" text, target price, and stop-loss price next to the entry signals (optional).
Customization:
You can adjust the target and stop-loss point values using the provided inputs.
How to Use:
Add the script to your TradingView chart.
The indicator will automatically plot the open high, open low, potential entry signals, target levels, and stop-loss levels based on the first 12 candles after the market opens.
Use the signals and price levels in conjunction with your own trading strategy to make informed decisions.
JDT Support & Resistance LevelsJDT Support & Resistance Levels
This Pine Script indicator identifies and dynamically plots pivot-based support and resistance levels on your chart. Unlike traditional pivot point calculations, this script uses a user-defined lookback period to identify swing highs and lows, providing a more adaptable approach to identifying potential price reversal zones.
Originality
This script stands out due to its flexible approach to pivot identification. Instead of relying on fixed periods like daily, weekly, or monthly pivots, it allows users to customize the lookback period. This is particularly useful for traders who analyze different timeframes or markets, as the optimal lookback period may vary.
How it works
* Pivot Calculation: The script utilizes the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows within the specified lookback period.
* Line Plotting: Horizontal lines are plotted at these pivot levels, extending to the right edge of the chart.
* Dynamic Updates: As new swing highs and lows form, the lines automatically update, ensuring the levels remain relevant to the current price action.
How to use it
* Add the script to your chart.
* Adjust the "Lookback Period" input parameter. A higher value will result in fewer but more significant levels, while a lower value will produce more frequent but potentially less reliable levels.
* Use the levels to identify potential support and resistance zones. Observe how price interacts with these levels. A break above a resistance level could signal a bullish move, while a break below a support level could indicate a bearish move.
Additional Considerations
* This script is most effective when used in conjunction with other technical analysis tools and indicators.
* The accuracy of the levels depends on the chosen lookback period and the specific market conditions.
* Always backtest your strategies before implementing them in live trading.
Let me know if you'd like any further clarification or have additional questions.
Engulfing with Fibonacci LevelsIndicator Explanation
The indicator identifies bullish and bearish engulfing patterns and plots Fibonacci levels based on these patterns. Here's a detailed explanation of the script:
1. Bullish Engulfing Pattern
A bullish engulfing pattern is identified when:
- The previous candle is bearish (`close < open `).
- The current candle is bullish (`close > open`).
- The low of the current candle is lower than the low of the previous candle (`low < low `).
- The current candle's close is higher than the previous candle's open (`close > open `).
When a bullish engulfing pattern is identified:
- Fibonacci levels are plotted from the low (0%) to the high (100%) of the bullish candle.
- A green dot is plotted below the bullish candle to indicate a buy signal.
2. Bearish Engulfing Pattern
A bearish engulfing pattern is identified when:
- The previous candle is bullish (`close > open `).
- The current candle is bearish (`close < open`).
- The high of the current candle is higher than the high of the previous candle (`high > high `).
- The current candle's close is lower than the previous candle's open (`close < open `).
When a bearish engulfing pattern is identified:
- Fibonacci levels are plotted from the high (0%) to the low (100%) of the bearish candle.
- A red dot is plotted above the bearish candle to indicate a sell signal.
3. Plotting Fibonacci Levels
For both bullish and bearish patterns, Fibonacci levels are plotted at:
- 0% (high for bullish, low for bearish)
- 50%
- 61.8%
- 79%
- 100% (low for bullish, high for bearish)
Smart Money Concept (SMC) Explanation
Bearish Signal
In the context of Smart Money Concepts (SMC), a bearish engulfing pattern can indicate:
- **Buy Side Liquidity Grab**: The high of the current bearish candle goes above the high of the previous bullish candle, potentially grabbing buy-side liquidity (stop losses of short positions or buy stops).
- **Break of Structure (BoS)**: The close of the bearish candle below the open of the previous bullish candle indicates a shift in market structure.
After identifying this bearish engulfing pattern, a smart money trader might:
1. Wait for the market to retrace 50% of the bearish candle.
2. Enter a sell trade around the 50% retracement level, anticipating a continuation of the downward move.
#### Bullish Signal
Similarly, a bullish engulfing pattern can indicate:
- **Sell Side Liquidity Grab**: The low of the current bullish candle goes below the low of the previous bearish candle, potentially grabbing sell-side liquidity (stop losses of long positions or sell stops).
- **Break of Structure (BoS)**: The close of the bullish candle above the open of the previous bearish candle indicates a shift in market structure.
After identifying this bullish engulfing pattern, a smart money trader might:
1. Wait for the market to retrace 50% of the bullish candle.
2. Enter a buy trade around the 50% retracement level, anticipating a continuation of the upward move.
The indicator helps traders identify key engulfing patterns that align with smart money concepts of liquidity grabs and breaks of structure. By plotting Fibonacci levels, it visually aids traders in waiting for optimal retracement levels (50%) to enter trades in the direction of the anticipated move. This approach leverages the idea that significant market participants often seek liquidity and cause structural shifts, providing entry opportunities for informed traders.
QTY@RISK VWAP based calculationVWAP Volatility-Based Risk Management Calculator for Intraday Trading
Overview
This script is an innovative tool designed to help traders manage risk effectively by calculating position sizes and stop-loss levels using the Volume Weighted Average Price (VWAP) and its standard deviation (StdDev). Unlike traditional methods that rely on time-based calculations, this approach is time-independent within the intraday timeframe, making it particularly useful for traders seeking precision and efficiency.
Key Concepts
VWAP (Volume Weighted Average Price): VWAP is a trading benchmark that represents the average price a security has traded at throughout the day, based on both volume and price. It provides insight into the average price level over a specific period, helping traders understand the market trend.
StdDev (Standard Deviation): In the context of VWAP, the standard deviation measures the volatility around the VWAP. It provides a quantifiable range that traders can use to set stop-loss levels, ensuring they are neither too tight nor too loose.
How the Script Works
1. VWAP Calculation: The script calculates the VWAP continuously as the market trades, integrating both price and volume data.
2. Volatility Measurement: It then computes the standard deviation of the VWAP, giving a measure of market volatility.
3. Stop-Loss Calculation: Using user-defined StdDev factors, the script calculates two stop-loss levels. These levels adjust dynamically based on market conditions, ensuring they remain relevant throughout the trading session.
4. Position Sizing: By incorporating your risk tolerance, the script determines the appropriate position size. This ensures that your maximum loss per trade does not exceed your predefined risk value.
How to Use the Calculator
1. Select Two VWAP StdDev Factors: Choose two standard deviation factors for calculating stop-loss levels. For example, you might choose 0.5 and 0.75 to set conservative and aggressive stop-losses respectively.
2. Set Your Trading Account Size: Enter your total trading capital. For example, $50,000.
3. Maximum Lot Size: Define the maximum number of shares you are willing to trade in a single position. For instance, 200 shares.
4. Risk Value per Trade: Input the maximum amount of money you are willing to risk on a single trade. For instance, $50.
5. Plotting Options: If you wish to visualize the stop-loss levels, enable the plot option and choose the price base for the plot, such as the closing price or the average of the high and low prices (hl2).
Example of Use
1. Initial Setup: After the market opens, wait for at least 15 minutes to ensure the VWAP has stabilized with sufficient volume data.
2. Parameter Configuration: Input your desired parameters into the calculator. For instance:
- VWAP StdDev Factors: 0.5 and 0.75
- Trading Account Size: $50,000
- Maximum Lot Size: 200 shares
- Risk Value per Trade: $50
- Plot Option: On, using "hl2" or "close" as the price base
3. Execution: Based on the inputs, the script calculates the position size and stop-loss levels. If the calculated stop-loss falls within the selected VWAP StdDev range, it will provide you with precise stop-loss prices.
4. Trading: Use the calculated position size and stop-loss levels to execute your trades confidently, knowing that your risk is managed effectively.
Advantages for Traders
- Time Independence: By relying on VWAP and its StdDev, the calculations are not dependent on specific time intervals, making them more adaptable to real-time trading conditions.
- Focus on Strategy: Novice traders can focus more on their trading strategies rather than getting bogged down with complex calculations.
- Dynamic Adjustments: The script adjusts stop-loss levels dynamically based on evolving market conditions, providing more accurate and relevant risk management.
- Flexibility: Traders can tailor the calculator to their risk preferences and trading style by adjusting the StdDev factors and risk parameters.
By incorporating these concepts and using this risk management calculator, traders can enhance their trading efficiency, improve their risk management, and ultimately make more informed trading decisions.
Prometheus Polarized Fractal Efficiency (PFE)This indicator uses market data to calculate Polarized Fractal Efficiency (PFE) on an asset, so traders can have a better idea of which direction it may go.
Users can control the lookback length for the fractal calculation, the lookback length for the Exponential Moving Average (EMA), and whether or not to display lines at the -50 and 50 level, or -25 and 25 level.
Polarized Fractal Efficiency:
The Polarized Fractal Efficiency (PFE) indicator is a value between -100 and 100 with 0 as a midpoint.
A PFE above 0 indicates the asset may trend higher, a PFE below 0 indicates the asset may trend lower.
There are many ways to trade with PFE, the intuitive trend riding as described above, or reversals.
Even when the PFE is above 0, if it gets high enough, it may also be an indication of a reversal. A PFE of 90 - 100, or -100 - -90, may indicate price is ready to revert the other direction. Furthermore, traders already in a position may look to breaks of other levels to be their take profit or stop out spot.
Calculation:
Pi = 100 x (Price - Price )2 + N2 / Summation, j= 0, to N-2 (Price - Price )2 + 1
If Close < Close Pi = -Pi
PFEi = EMA(Pi, M)
Where:
N = period of indicator
M = smoothing period
Citation: www.investopedia.com
Scenarios:
Inputs are (9, 5) and every display option is on.
Trend example
Step 1: A short trade appears as PFE crosses below -25. We reach a safe take profit as PFE crosses below -50. Traders can use these levels to exit as well as enter.
Step 2: On the cross above 25 there is a safe long. As the PFE value breaks 0 a safe, early take profit could be appropriate for this trade. No guarantee we would see 50.
Step 3: Long scenario at break of 25, straight to 50. Simple, straightforward setup.
Step 4: This long results in a stop loss. Once again entry as PFE crosses 25, but as we cross the 0 line it is for a loss.
Step 5: The last trade in this example is reminiscent of step 3. This is a short trade entry at break of 25 and exit at break of 50.
Traders have liberty to use the PFE value to determine spots to enter and exit trades, long or short. 25 and 50 were chosen arbitrarily, values like 10 and 60 may work as well, we encourage traders to use their own discretion along with tools.
Reversal example
Step 1: PFE is around -100, crossing below it at one point! Strong zone for a potential reversal.
Step 2: PFE crosses above 25 adding conviction.
Step 3: Option to exit at 70.
Step 4: Option to exit at 90.
There is no “one size fits all method”, this approach may be more intuitive for some users and is just as feasible as the first.
Longer trend example
Step 1: Using -50 and 50 this time instead of -25 and 25 to be safer on our entries we see a short here. Was a good entry and as the value gets closer to -70 we can safely close.
Step 2: On this candle we see a long for the break of 50. On the next candle we break the 0 line, but because of our safe entry at 50, we could hold this and only stop out at a break of -25. We get close but stay in it and close at 70.
Step 3: Break of 50 for a long once again. This time the break of 0 line occurs as we are in profit, not letting a green trade go red is a golden rule of trading, so an early exit here.
Step 4: Same at step 2, break of 50 to long and stay in it, not stopping out at break of 0 line. The PFE value eventually reaches 70 and there is a good exit.
Quicker Reversal example
Step 1: Notice a close with PFE below -90, enter long for the reversal. Then close for profit when the PFE crosses above 70.
Step 2: When the PFE breaks above 90 we have a short entry. Like the long closing it when it crosses below -70.
Step 3: This step is the same setup as step 2. As PFE breaks above 90 we have a short entry. Closing it when it crosses below -70.
Recap:
Described above are 4 different examples with many different trades. Both trend and reversal trades. The PFE value is an indicator that can be used by traders in many different ways and Prometheus encourages traders to use their own discretion along with tools and not follow indicators blindly.
Options:
Users can control the input for the lookback of the indicator. The default is 9.
The smoothing factor for the EMA is also changeable, default is 5.
Users have options to display lines at -50, -25, 25, and 50.
Support and Resistance Breakouts By RICHIESupport and resistance are fundamental concepts in technical analysis used to identify price levels on charts that act as barriers, preventing the price of an asset from getting pushed in a certain direction. Here’s a detailed description of each and how breakout strategies are typically used:
Support
Support is a price level where a downtrend can be expected to pause due to a concentration of demand. As the price of an asset drops, it hits a level where buyers tend to step in, causing the price to rebound.
Support Level Identification: Support levels are identified by looking at historical data where prices have repeatedly fallen to a certain level but have then rebounded.
Strength of Support: The more times an asset price hits a support level without breaking below it, the stronger that support level is considered to be.
Resistance
Resistance is a price level where an uptrend can be expected to pause due to a concentration of selling interest. As the price of an asset increases, it hits a level where sellers tend to step in, causing the price to drop.
Resistance Level Identification: Resistance levels are identified by looking at historical data where prices have repeatedly risen to a certain level but have then fallen back.
Strength of Resistance: The more times an asset price hits a resistance level without breaking above it, the stronger that resistance level is considered to be.
Breakouts
A breakout occurs when the price moves above a resistance level or below a support level with increased volume. Breakouts can be significant because they suggest a change in supply and demand dynamics, often leading to strong price movements.
Breakout Above Resistance: Indicates a bullish market sentiment. Traders often interpret this as a sign to enter a long position (buy).
Breakout Below Support: Indicates a bearish market sentiment. Traders often interpret this as a sign to enter a short position (sell).
Breakout Trading Strategies
Confirmation: Wait for a candle to close beyond the support or resistance level to confirm the breakout.
Volume: Increased volume on a breakout adds credibility, suggesting that the price move is supported by strong buying or selling interest.
Retest: Sometimes, after a breakout, the price will return to the breakout level to test it as a new support or resistance. This retest offers another entry point.
Stop-Loss: Place stop-loss orders just below the resistance (for long positions) or above the support (for short positions) to limit potential losses in case of a false breakout.
Take-Profit: Identify target levels for taking profits. These can be set based on previous support/resistance levels or using tools like Fibonacci retracements.
TASC 2024.07 Gaps and Extreme Closes█ OVERVIEW
This script, inspired by Perry Kaufman's article "Trading Opening Gaps and Extreme Closes in Stocks" from the TASC's July 2024 edition of Traders' Tips , provides analytical insights into stock price behaviors following significant price moves. The information about the frequency, pullbacks, and closing patterns of these extreme price movements can aid in developing more effective trading strategies by understanding what to expect during volatile market conditions.
█ CONCEPTS
Perry Kaufman's article investigates the behavior of stock prices following substantial opening gaps and extreme closing moves to identify patterns and expectations that traders can utilize to make informed decisions. The motivation behind the article is to offer traders a more scientific approach to understanding price movements during volatile market conditions, particularly during earnings season or significant economic events. Kaufman's analysis reveals that stock prices have a history of exhibiting certain behaviors after substantial price gaps and extreme closes. This script follows Perry Kaufman's study and helps provide insight into how prices often behave after significant price changes. This analysis can help traders establish price movement expectations and potential strategies for trading such occurrences.
█ CALCULATIONS
Input Parameters:
This script offers users the choice to analyze "Opening Gaps" or "Extreme Closes" for price movements of different predefined magnitudes in a specified direction ("Upward" or "Downward").
Outputs:
Based on the specified inputs, the script performs the following calculations for the active ticker displayed on the chart:
Frequency of Extreme Price Movements : Quantifies the occurrences of directional price movements within predefined percentage ranges.
Average Pullbacks : Computes the average retracement (pullback) from analyzed price movements within each percentage range.
Average Closes : Analyzes the typical closing behavior relative to the directional price movements within each range.
The script organizes the results from these calculations within the table on a separate chart pane, providing users with helpful insights into how a stock historically behaved following significant price movements.
Strong Support and Resistance with EMAs @viniciushadek
### Strategy for Using Continuity Points with 20 and 9 Period Exponential Moving Averages, and Support and Resistance
This strategy involves using two exponential moving averages (EMA) - one with a 20-period and another with a 9-period - along with identifying support and resistance levels on the chart. Combining these tools can help determine trend continuation points and potential entry and exit points in market operations.
### 1. Setting Up the Exponential Moving Averages
- **20-Period EMA**: This moving average provides a medium-term trend view. It helps smooth out price fluctuations and identify the overall market direction.
- **9-Period EMA**: This moving average is more sensitive and reacts more quickly to price changes, providing short-term signals.
### 2. Identifying Support and Resistance
- **Support**: Price levels where demand is strong enough to prevent the price from falling further. These levels are identified based on previous lows.
- **Resistance**: Price levels where supply is strong enough to prevent the price from rising further. These levels are identified based on previous highs.
### 3. Continuity Points
The strategy focuses on identifying trend continuation points using the interaction between the EMAs and the support and resistance levels.
### 4. Buy Signals
- When the 9-period EMA crosses above the 20-period EMA.
- Confirm the entry if the price is near a support level or breaking through a resistance level.
### 5. Sell Signals
- When the 9-period EMA crosses below the 20-period EMA.
- Confirm the exit if the price is near a resistance level or breaking through a support level.
### 6. Risk Management
- Use appropriate stops below identified supports for buy operations.
- Use appropriate stops above identified resistances for sell operations.
### 7. Validating the Trend
- Check if the trend is validated by other technical indicators, such as the Relative Strength Index (RSI) or Volume.
### Conclusion
This strategy uses the combination of exponential moving averages and support and resistance levels to identify continuity points in the market trend. It is crucial to confirm the signals with other technical analysis tools and maintain proper risk management to maximize results and minimize losses.
Implementing this approach can provide a clearer view of market movements and help make more informed trading decisions.
Prometheus Analytics Hurst ExponentThis indicator uses market data to calculate the Hurst Exponent so traders can have knowledge of the long memory of the asset.
Users can control the lookback length for the H value (Hurst Exponent), lookback length for the SMA (Simple Moving Average) of the Hurst Exponent, to show either, and what to calculate the H value and SMA on.
Hurst Exponent:
The Hurst Exponent is a value between 0 and 1 with 0.5 as a midline.
An H value(Hurst Exponent) above 0.5 indicates a trending market, and a market that should have larger, longer moves.
An H value below 0.5 indicates a mean reverting market, and a market that should have smaller, shorter moves.
An H value of0.5 indicates a random walk. This would mean the price would follow a Brownian Motion model and future prices would be independent from past prices.
Just because the H value is above 0.5 does not indicate that there should be an UP trend, just as a value below 0.5 does not indicate a DOWN trend. It indicates that there should be a trend, up or down.
Scenarios:
An intuitive way to use the Hurst Exponent is as an asset is trending in whatever direction, as the H value crosses below 0.5 it indicates a reversal. It indicates that what was happening before isn’t impacting what is happening now as much.
Steps explained from picture:
Step 1: Strong uptrend is identified with the asset moving up aggressively with H above 0.5.
Step 2: The H value crosses below 0.5 and prices stay elevated.
Step 3: Price reverts back down as the H value stays below 0.5
Just because the H value is above 0.5 doesn’t mean the asset has to be uptrending. In this example we see the asset fall as the H value is above 0.5. Not only that, but every time it crosses below 0.5, the asset takes a breather on the way down
Step 1: As the H value crosses above 0.5, we can expect trends to appear in the asset.
Step 2: After the trend switches to down, we only see a breather and some chop after the H value crosses back below 0.5.
Step 3: Once The H value crosses back over we see the downtrend continue and new lows be made.
Step 4: We see it once again, simply the area of chop is bigger. We don’t see a higher high, breaking the overall downtrend, but once the H value crosses over again the downturn continues and we see a lower low.
It may occur when no strong trend is made in either direction. The H value above 0.5 does indeed sometimes correlate with an uptrend sometimes.
Step 1: After the strong downtrend we see a break below 0.5 with some consolidation.
Step 2: No clear big move on the asset or H value.
Step 3: H value above 0.5 leads to a break of highs and a new uptrend.
Users have the option to decide what to calculate the H value on. Close is the default, or dollar return per bar are the options. Dollar return per bar and offer an H value that may give a better indication of when price moves will be small and sporadic.
Using dollar move per bar.
Step 1: H value cross above 0.5, we see large candles and fast moves.
Step 2: H value crosses below 0.5, the candles immediately following are shorter. The big red candles come right before the cross back above.
Step 3: H value cross back above 0.5, after some chop, large move down.
Similar story
Step 1: H value above 0.5, big trends either direction
Step 2: After the H value crosses below, the moves are short and choppy.
Settings:
Options to show or remove either the H value or it’s SMA.
Options to adjust the period uses, default is (32, 16)
