EMA DSWThis Pine Script indicator implements a trading strategy based on the crossover of 5-period and 9-period Exponential Moving Averages (EMA). It generates entry signals when the 5 EMA crosses above the 9 EMA, and exit signals when the 5 EMA crosses below the 9 EMA. The script also calculates and displays stop-loss and target levels for each trade. Users can customize the EMA periods, stop-loss percentage, and target percentage through input parameters. The indicator plots the EMAs on the chart and displays entry and exit markers for visual reference
Search in scripts for "nifty"
Donchian Breakout StrategyOverview
The Donchian Breakout Strategy is a trend-following system that identifies potential long trade opportunities based on price breakouts from a specified range (Donchian Channel). This script enhances the traditional Donchian breakout strategy by adding an optional volume filter and integrating the Supertrend indicator for additional confirmation.
This indicator is particularly effective on daily or weekly charts of indices like Nifty and BankNifty, but it can also be used on other instruments with strong trending characteristics.
Key Features
Donchian Channel:
Calculates the highest high and lowest low over a user-defined period.
Provides visual cues for price breakouts (upper band) and breakdowns (lower band).
Optional Volume Filter:
Filters buy signals by requiring volume to exceed its 20-period moving average (enabled/disabled via a toggle).
Supertrend Indicator:
Confirms the trend direction.
Plots a green line for bullish trends and a red line for bearish trends.
Configurable Exit Options:
Multiple exit strategies, including lower Donchian band, mid-band (basis line), or Supertrend.
Trailing stop-loss option to lock in profits.
Backtest Date Range:
Specify the start and end dates for backtesting the strategy.
Inputs and Settings
1. Donchian Channel
Length: The number of bars used to calculate the highest high and lowest low (default: 21).
2. Volume Filter
Enable Volume Filter: Toggles the volume filter on or off. When enabled, long entries require the volume to exceed its 20-period moving average.
3. Supertrend
Multiplier: Adjusts the sensitivity of the Supertrend indicator (default: 1).
Length: Defines the period for the Supertrend calculation (default: 10).
4. Exit Options
Exit Option:
Option 1: Exit when the price crosses below the lower Donchian band.
Option 2: Exit when the price crosses below the mid-band (basis line).
Option 3: Exit when the price crosses below the Supertrend line.
Option 4: Use a trailing stop-loss (default percentage: 3%).
5. Backtesting Range
Start/End Date: Define the period for backtesting trades. Entries and exits will only occur within this range.
How to Use
Step 1: Add the Indicator
Apply this script to your TradingView chart.
Use it on instruments with strong trending characteristics, such as indices or trending stocks.
Step 2: Configure Inputs
Adjust the Donchian length based on your preferred timeframe and market conditions (e.g., 21 for daily, 52 for weekly charts).
Toggle the volume filter to filter false signals during low-volume periods.
Customize the Supertrend multiplier and length to align with your risk tolerance.
Step 3: Interpret Signals
Long Entry:
Triggered when the price closes above the upper Donchian band.
(Optional) Volume must exceed its 20-period moving average if the filter is enabled.
Exit:
Select an exit strategy that matches your trading style:
Trend-following: Use the Supertrend line.
Range-bound: Use the lower Donchian band or mid-band.
Example Usage Scenarios
Trending Markets:
Apply on indices like Nifty or BankNifty with daily/weekly timeframes.
Enable the volume filter to confirm strong breakouts.
Use the Supertrend for trend direction and trailing stops.
Swing Trading:
Use shorter Donchian lengths (e.g., 10) to capture smaller price movements.
Disable the volume filter for highly liquid instruments.
Best Practices
Combine with higher timeframes (e.g., weekly chart) for trend confirmation.
Use the Supertrend indicator to stay in trades during trending markets.
Backtest with various settings to identify optimal parameters for your preferred instruments.
Warnings
This strategy works best in trending markets; performance may degrade in choppy or range-bound conditions.
The volume filter might reduce the number of signals, which could limit opportunities in low-volume instruments.
Always combine this indicator with proper risk management practices.
Visualization
Donchian Channel:
Upper band: Represents breakout levels.
Lower band: Represents breakdown levels.
Mid-band (orange): Average of the upper and lower bands.
Supertrend:
Green line: Bullish trend.
Red line: Bearish trend.
Volume Filter:
Ensure volume exceeds the 20-period moving average for valid long entries (when enabled).
Lukhi EMA Crossover_TWL strategy### Description of the Script
This Pine Script implements the **Lukhi EMA Crossover_TWL Strategy** for use on TradingView. It is designed to generate buy and sell signals based on an Exponential Moving Average (EMA) crossover combined with Relative Strength Index (RSI) confirmation. The strategy also incorporates capital management features such as stop-loss and take-profit levels, along with detailed entry labels and failure indications. Here's a detailed breakdown:
---
### **Features**
1. **Customizable Parameters**:
- **Capital**: Define the total trading capital (`₹15,000` by default).
- **Risk per Trade**: Set the maximum amount you are willing to risk per trade (`₹1,000` by default).
- **Target Profit per Trade**: Define the desired profit per trade (`₹5,000` by default).
- **Lot Size**: Specify the number of contracts/lots for the trade (`75` by default for Nifty).
- **Stop-Loss Distance**: Use a fixed point-based stop-loss (`20` points by default).
2. **Indicators**:
- **Exponential Moving Averages (EMAs)**:
- Short EMA (`9-period`) and Long EMA (`21-period`).
- Used to identify trend direction and crossover signals.
- **Relative Strength Index (RSI)**:
- Configurable `14-period` RSI.
- RSI levels help confirm overbought/oversold conditions.
3. **Entry Signals**:
- **Buy Signal**: Triggered when the short EMA crosses above the long EMA and RSI is above 50.
- **Sell Signal**: Triggered when the short EMA crosses below the long EMA and RSI is below 50.
4. **Exit Logic**:
- Stop-loss and take-profit levels are dynamically calculated based on the risk per trade and position size.
- The script automatically exits the trade when either the stop-loss or take-profit levels are reached.
5. **Visual Elements on Chart**:
- **EMA Lines**:
- Plots the short EMA (blue) and long EMA (orange) on the chart for easy visualization.
- **Buy and Sell Labels**:
- Buy and sell signals are marked on the chart with labels showing:
- Entry price
- Target price
- Stop-loss price
- **Failure Indicators**:
- Displays a red cross on the chart if a stop-loss is hit (indicating a failed trade).
---
### **How It Works**
1. **Setup**:
- The script calculates the short and long EMAs using the closing prices of the selected asset.
- RSI is calculated for additional confirmation of trade signals.
2. **Signals**:
- A **Buy Signal** is generated when:
- Short EMA crosses above the long EMA.
- RSI is above 50 (indicating bullish momentum).
- A **Sell Signal** is generated when:
- Short EMA crosses below the long EMA.
- RSI is below 50 (indicating bearish momentum).
3. **Risk Management**:
- Position size is determined dynamically using the stop-loss distance and risk per trade.
- Stop-loss and take-profit levels are calculated for both long and short trades.
4. **Trade Execution**:
- The script automatically places orders based on buy/sell signals and exits them when stop-loss or take-profit levels are reached.
5. **Visual Feedback**:
- The chart displays the calculated entry, stop-loss, and target prices for each signal.
- Failed trades (where stop-loss is hit) are marked with a red cross.
---
### **Applications**
- Suitable for trading Nifty and other similar instruments with defined lot sizes.
- Ideal for traders who follow systematic EMA crossover strategies combined with RSI for confirmation.
- Helps in automating entry and exit signals while incorporating robust risk management.
---
### **Usage**
1. Copy the script into TradingView’s Pine Editor.
2. Adjust the input parameters (capital, risk, lot size, stop-loss, etc.) according to your trading requirements.
3. Apply the strategy to your desired chart and timeframe.
4. Monitor the buy/sell labels and review stop-loss or target levels before placing trades.
---
### **Notes**
- This script is configured for educational purposes and should be tested on a demo account before live trading.
- Proper risk management and backtesting are recommended to adapt the strategy to different market conditions.
Metaphor Vigour Ratio### **Script Name:** Metaphor Vigour Ratio
**Short Title:** Metaphor Vigour Ratio
**Author:** Sovit Manjani, CMT
**Description:**
The Metaphor Vigour Ratio (MVRatio) is a powerful Relative Strength Indicator designed for assessing normalized relative strength. It is versatile and can be applied to any script or used to rank symbols based on their intermarket relative strength.
---
### **Features:**
1. **Bullish and Bearish Signals:**
- **Above 100:** Indicates a bullish trend.
- **Below 100:** Indicates a bearish trend.
2. **Trend Analysis with Slope:**
- **Slope Rising:** Suggests bullish momentum.
- **Slope Falling:** Suggests bearish momentum.
3. **Stock Selection Strategy:**
- Identify and rank stocks based on the MVRatio. For example, buy the top 10 stocks of Nifty with the highest MVRatio values for strong performance potential.
---
### **Inputs:**
1. **Fast EMA Period (RSEMAFast):** Default set to 10. Controls the sensitivity of the Fast Moving Average.
2. **Slow EMA Period (RSEMASlow):** Default set to 30. Provides a stable trend base with the Slow Moving Average.
3. **Smooth EMA Period (SmoothEMA):** Default set to 3. Smooths the MVRatio for better clarity.
4. **Close Source:** Default is the closing price, but it can be customized as needed.
5. **Comparative Symbol (ComparativeTickerId):** Default is "NSE:NIFTY," allowing comparison against a benchmark index.
---
### **Calculation Logic:**
1. **Relative Strength (RS):**
- Calculated as the ratio of the base symbol's price to the comparative symbol's price.
2. **Exponential Moving Averages (FastMA and SlowMA):**
- Applied to the RS to smooth and differentiate trends.
3. **Metaphor Vigour Ratio (MVRatio):**
- Computed as the ratio of FastMA to SlowMA, scaled by 100, and further smoothed using SmoothEMA.
---
### **Visualization:**
1. **MVRatio Plot (Blue):**
- Represents the relative strength dynamics.
2. **Reference Line at 100 (Gray):**
- Helps quickly identify bullish (above 100) and bearish (below 100) zones.
---
### **How to Use:**
1. Add the indicator to your chart from TradingView's Pine Script editor.
2. Compare the performance of any symbol relative to a benchmark (e.g., Nifty).
3. Analyze trends, slopes, and ranking based on MVRatio values to make informed trading decisions.
---
**Note:** This indicator is for educational purposes and should be used alongside other analysis methods to make trading decisions.
Sunil 2 Bar Breakout StrategyDetailed Explanation of the Sunil 2 Bar Breakout Strategy
Introduction
The Sunil 2 Bar Breakout Strategy is a simple yet effective price-action-based approach designed to identify breakout opportunities in financial markets. This strategy analyzes the movement of the last three candles to detect momentum and initiates trades in the direction of the breakout. It is equipped with a built-in stop-loss mechanism to protect capital, making it suitable for traders looking for a structured and disciplined trading system.
The strategy works well across different timeframes and asset classes, including indices, stocks, forex, and cryptocurrencies. Its versatility makes it ideal for both intraday and swing trading.
Core Concept
The strategy revolves around two primary conditions: breakout identification and risk management.
Breakout Identification:
Long Trade Setup: The strategy identifies bullish breakouts when:
The current candle's closing price is higher than the previous candle's closing price.
The high of the previous candle is greater than the highs of the two candles before it.
Short Trade Setup: The strategy identifies bearish breakouts when:
The current candle's closing price is lower than the previous candle's closing price.
The low of the previous candle is lower than the lows of the two candles before it.
Risk Management:
Stop-Loss: For each trade, a stop-loss is automatically set:
For long trades, the stop-loss is set to the low of the previous candle.
For short trades, the stop-loss is set to the high of the previous candle.
This ensures that losses are minimized if the breakout fails.
Exit Logic:
The trade is closed automatically when the stop-loss is hit.
This approach maintains discipline and prevents emotional trading.
Strategy Workflow
Entry Criteria:
Long Entry: A long trade is triggered when:
The current close is greater than the previous close.
The high of the previous candle exceeds the highs of the two candles before it.
Short Entry: A short trade is triggered when:
The current close is less than the previous close.
The low of the previous candle is below the lows of the two candles before it.
Stop-Loss Placement:
For long trades, the stop-loss is set at the low of the previous candle.
For short trades, the stop-loss is set at the high of the previous candle.
Trade Management:
Trades are exited automatically if the stop-loss level is hit.
The strategy avoids re-entering trades until new breakout conditions are met.
Default Settings
Position Sizing:
The default position size is set to 1% of the account equity. This ensures proper risk management and prevents overexposure to the market.
Stop-Loss:
Stop-loss levels are automatically calculated based on the previous candle’s high or low.
Timeframes:
The strategy is versatile and works across multiple timeframes. However, it is recommended to test it on 15-minute, 1-hour, and daily charts for optimal performance.
Key Features
Automated Trade Execution:
The strategy handles both trade entry and exit automatically based on pre-defined conditions.
Built-In Risk Management:
The automatic stop-loss placement ensures losses are minimized on failed breakouts.
Works Across Markets:
The strategy is compatible with a wide range of instruments, including indices, stocks, forex, and cryptocurrencies.
Clear Signals:
Entry and exit points are straightforward and based on objective conditions, reducing ambiguity.
Versatility:
Can be used for both day trading and swing trading, depending on the chosen timeframe.
Best Practices for Using This Strategy
Backtesting:
Test the strategy on your chosen instrument and timeframe using TradingView's Strategy Tester to evaluate its performance.
Market Conditions:
The strategy performs best in trending markets or during periods of high volatility. Avoid using it in range-bound or choppy markets.
Position Sizing:
Use the default position size (1% of equity) or adjust based on your risk tolerance and account size.
Instrument Selection:
Focus on instruments with good liquidity and volatility, such as indices (e.g., NIFTY, BANKNIFTY), forex pairs, or major cryptocurrencies (e.g., Bitcoin, Ethereum).
Potential Enhancements
To make the strategy even more robust, consider adding the following optional features:
Stop-Loss Multiplier:
Allow users to customize the stop-loss distance as a multiple of the default level (e.g., 1.5x the low or high of the previous candle).
Take-Profit Levels:
Add user-defined take-profit levels, such as a fixed risk-reward ratio (e.g., 1:2).
Time Filter:
Include an option to restrict trading to specific market hours (e.g., avoid low-liquidity times).
Conclusion
The Sunil 2 Bar Breakout Strategy is an excellent tool for traders looking to capitalize on breakout opportunities while maintaining disciplined risk management. Its simplicity, combined with its effectiveness, makes it suitable for traders of all experience levels. By adhering to the clearly defined rules, traders can achieve consistent results while avoiding emotional trading decisions.
This strategy is a reliable addition to any trader’s toolbox and is designed to work seamlessly across different market conditions and instruments.
Accurate Bollinger Bands mcbw_ [True Volatility Distribution]The Bollinger Bands have become a very important technical tool for discretionary and algorithmic traders alike over the last decades. It was designed to give traders an edge on the markets by setting probabilistic values to different levels of volatility. However, some of the assumptions that go into its calculations make it unusable for traders who want to get a correct understanding of the volatility that the bands are trying to be used for. Let's go through what the Bollinger Bands are said to show, how their calculations work, the problems in the calculations, and how the current indicator I am presenting today fixes these.
--> If you just want to know how the settings work then skip straight to the end or click on the little (i) symbol next to the values in the indicator settings window when its on your chart <--
--------------------------- What Are Bollinger Bands ---------------------------
The Bollinger Bands were formed in the 1980's, a time when many retail traders interacted with their symbols via physically printed charts and computer memory for personal computer memory was measured in Kb (about a factor of 1 million smaller than today). Bollinger Bands are designed to help a trader or algorithm see the likelihood of price expanding outside of its typical range, the further the lines are from the current price implies the less often they will get hit. With a hands on understanding many strategies use these levels for designated levels of breakout trades or to assist in defining price ranges.
--------------------------- How Bollinger Bands Work ---------------------------
The calculations that go into Bollinger Bands are rather simple. There is a moving average that centers the indicator and an equidistant top band and bottom band are drawn at a fixed width away. The moving average is just a typical moving average (or common variant) that tracks the price action, while the distance to the top and bottom bands is a direct function of recent price volatility. The way that the distance to the bands is calculated is inspired by formulas from statistics. The standard deviation is taken from the candles that go into the moving average and then this is multiplied by a user defined value to set the bands position, I will call this value 'the multiple'. When discussing Bollinger Bands, that trading community at large normally discusses 'the multiple' as a multiplier of the standard deviation as it applies to a normal distribution (gaußian probability). On a normal distribution the number of standard deviations away (which trades directly use as 'the multiple') you are directly corresponds to how likely/unlikely something is to happen:
1 standard deviation equals 68.3%, meaning that the price should stay inside the 1 standard deviation 68.3% of the time and be outside of it 31.7% of the time;
2 standard deviation equals 95.5%, meaning that the price should stay inside the 2 standard deviation 95.5% of the time and be outside of it 4.5% of the time;
3 standard deviation equals 99.7%, meaning that the price should stay inside the 3 standard deviation 99.7% of the time and be outside of it 0.3% of the time.
Therefore when traders set 'the multiple' to 2, they interpret this as meaning that price will not reach there 95.5% of the time.
---------------- The Problem With The Math of Bollinger Bands ----------------
In and of themselves the Bollinger Bands are a great tool, but they have become misconstrued with some incorrect sense of statistical meaning, when they should really just be taken at face value without any further interpretation or implication.
In order to explain this it is going to get a bit technical so I will give a little math background and try to simplify things. First let's review some statistics topics (distributions, percentiles, standard deviations) and then with that understanding explore the incorrect logic of how Bollinger Bands have been interpreted/employed.
---------------- Quick Stats Review ----------------
.
(If you are comfortable with statistics feel free to skip ahead to the next section)
.
-------- I: Probability distributions --------
When you have a lot of data it is helpful to see how many times different results appear in your dataset. To visualize this people use "histograms", which just shows how many times each element appears in the dataset by stacking each of the same elements on top of each other to form a graph. You may be familiar with the bell curve (also called the "normal distribution", which we will be calling it by). The normal distribution histogram looks like a big hump around zero and then drops off super quickly the further you get from it. This shape (the bell curve) is very nice because it has a lot of very nifty mathematical properties and seems to show up in nature all the time. Since it pops up in so many places, society has developed many different shortcuts related to it that speed up all kinds of calculations, including the shortcut that 1 standard deviation = 68.3%, 2 standard deviations = 95.5%, and 3 standard deviations = 99.7% (these only apply to the normal distribution). Despite how handy the normal distribution is and all the shortcuts we have for it are, and how much it shows up in the natural world, there is nothing that forces your specific dataset to look like it. In fact, your data can actually have any possible shape. As we will explore later, economic and financial datasets *rarely* follow the normal distribution.
-------- II: Percentiles --------
After you have made the histogram of your dataset you have built the "probability distribution" of your own dataset that is specific to all the data you have collected. There is a whole complicated framework for how to accurately calculate percentiles but we will dramatically simplify it for our use. The 'percentile' in our case is just the number of data points we are away from the "middle" of the data set (normally just 0). Lets say I took the difference of the daily close of a symbol for the last two weeks, green candles would be positive and red would be negative. In this example my dataset of day by day closing price difference is:
week 1:
week 2:
sorting all of these value into a single dataset I have:
I can separate the positive and negative returns and explore their distributions separately:
negative return distribution =
positive return distribution =
Taking the 25th% percentile of these would just be taking the value that is 25% towards the end of the end of these returns. Or akin the 100%th percentile would just be taking the vale that is 100% at the end of those:
negative return distribution (50%) = -5
positive return distribution (50%) = +4
negative return distribution (100%) = -10
positive return distribution (100%) = +20
Or instead of separating the positive and negative returns we can also look at all of the differences in the daily close as just pure price movement and not account for the direction, in this case we would pool all of the data together by ignoring the negative signs of the negative reruns
combined return distribution =
In this case the 50%th and 100%th percentile of the combined return distribution would be:
combined return distribution (50%) = 4
combined return distribution (100%) = 10
Sometimes taking the positive and negative distributions separately is better than pooling them into a combined distribution for some purposes. Other times the combined distribution is better.
Most financial data has very different distributions for negative returns and positive returns. This is encapsulated in sayings like "Price takes the stairs up and the elevator down".
-------- III: Standard Deviation --------
The formula for the standard deviation (refereed to here by its shorthand 'STDEV') can be intimidating, but going through each of its elements will illuminate what it does. The formula for STDEV is equal to:
square root ( (sum ) / N )
Going back the the dataset that you might have, the variables in the formula above are:
'mean' is the average of your entire dataset
'x' is just representative of a single point in your dataset (one point at a time)
'N' is the total number of things in your dataset.
Going back to the STDEV formula above we can see how each part of it works. Starting with the '(x - mean)' part. What this does is it takes every single point of the dataset and measure how far away it is from the mean of the entire dataset. Taking this value to the power of two: '(x - mean) ^ 2', means that points that are very far away from the dataset mean get 'penalized' twice as much. Points that are very close to the dataset mean are not impacted as much. In practice, this would mean that if your dataset had a bunch of values that were in a wide range but always stayed in that range, this value ('(x - mean) ^ 2') would end up being small. On the other hand, if your dataset was full of the exact same number, but had a couple outliers very far away, this would have a much larger value since the square par of '(x - mean) ^ 2' make them grow massive. Now including the sum part of 'sum ', this just adds up all the of the squared distanced from the dataset mean. Then this is divided by the number of values in the dataset ('N'), and then the square root of that value is taken.
There is nothing inherently special or definitive about the STDEV formula, it is just a tool with extremely widespread use and adoption. As we saw here, all the STDEV formula is really doing is measuring the intensity of the outliers.
--------------------------- Flaws of Bollinger Bands ---------------------------
The largest problem with Bollinger Bands is the assumption that price has a normal distribution. This is assumption is massively incorrect for many reasons that I will try to encapsulate into two points:
Price return do not follow a normal distribution, every single symbol on every single timeframe has is own unique distribution that is specific to only itself. Therefore all the tools, shortcuts, and ideas that we use for normal distributions do not apply to price returns, and since they do not apply here they should not be used. A more general approach is needed that allows each specific symbol on every specific timeframe to be treated uniquely.
The distributions of price returns on the positive and negative side are almost never the same. A more general approach is needed that allows positive and negative returns to be calculated separately.
In addition to the issues of the normal distribution assumption, the standard deviation formula (as shown above in the quick stats review) is essentially just a tame measurement of outliers (a more aggressive form of outlier measurement might be taking the differences to the power of 3 rather than 2). Despite this being a bit of a philosophical question, does the measurement of outlier intensity as defined by the STDEV formula really measure what we want to know as traders when we're experiencing volatility? Or would adjustments to that formula better reflect what we *experience* as volatility when we are actively trading? This is an open ended question that I will leave here, but I wanted to pose this question because it is a key part of what how the Bollinger Bands work that we all assume as a given.
Circling back on the normal distribution assumption, the standard deviation formula used in the calculation of the bands only encompasses the deviation of the candles that go into the moving average and have no knowledge of the historical price action. Therefore the level of the bands may not really reflect how the price action behaves over a longer period of time.
------------ Delivering Factually Accurate Data That Traders Need------------
In light of the problems identified above, this indicator fixes all of these issue and delivers statistically correct information that discretionary and algorithmic traders can use, with truly accurate probabilities. It takes the price action of the last 2,000 candles and builds a huge dataset of distributions that you can directly select your percentiles from. It also allows you to have the positive and negative distributions calculated separately, or if you would like, you can pool all of them together in a combined distribution. In addition to this, there is a wide selection of moving averages directly available in the indicator to choose from.
Hedge funds, quant shops, algo prop firms, and advanced mechanical groups all employ the true return distributions in their work. Now you have access to the same type of data with this indicator, wherein it's doing all the lifting for you.
------------------------------ Indicator Settings ------------------------------
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---- Moving average ----
Select the type of moving average you would like and its length
---- Bands ----
The percentiles that you enter here will be pulled directly from the return distribution of the last 2,000 candles. With the typical Bollinger Bands, traders would select 2 standard deviations and incorrectly think that the levels it highlights are the 95.5% levels. Now, if you want the true 95.5% level, you can just enter 95.5 into the percentile value here. Each of the three available bands takes the true percentile you enter here.
---- Separate Positive & Negative Distributions----
If this box is checked the positive and negative distributions are treated indecently, completely separate from each other. You will see that the width of the top and bottom bands will be different for each of the percentiles you enter.
If this box is unchecked then all the negative and positive distributions are pooled together. You will notice that the width of the top and bottom bands will be the exact same.
---- Distribution Size ----
This is the number of candles that the price return is calculated over. EG: to collect the price return over the last 33 candles, the difference of price from now to 33 candles ago is calculated for the last 2,000 candles, to build a return distribution of 2000 points of price differences over 33 candles.
NEGATIVE NUMBERS(<0) == exact number of candles to include;
EG: setting this value to -20 will always collect volatility distributions of 20 candles
POSITIVE NUMBERS(>0) == number of candles to include as a multiple of the Moving Average Length value set above;
EG: if the Moving Average Length value is set to 22, setting this value to 2 will use the last 22*2 = 44 candles for the collection of volatility distributions
MORE candles being include will generally make the bands WIDER and their size will change SLOWER over time.
I wish you focus, dedication, and earnest success on your journey.
Happy trading :)
JJ Psychological Levels (125 Increments)Psychological Levels Indicator
Description:
The Psychological Levels Indicator is a versatile tool designed for traders to identify key price levels that often act as support or resistance zones in the market. These levels are plotted at regular intervals, customizable by the user, starting from a base price level. This is particularly useful for spotting psychological price points that traders and investors frequently monitor.
Key Features:
1.Dynamic Psychological Levels:
- The script calculates and displays horizontal lines at price levels separated by customizable increments (default: 125 points).
- These levels are dynamically adjusted to the visible range of the chart.
2. Customizable Inputs:
- Starting Level: Set the base level from which increments are calculated (e.g., 0 or 1000).
- Step Size: Define the interval between levels (e.g., 125 for indices like Bank NIFTY).
3. Visual Representation:
- Horizontal lines are drawn at each psychological level, helping traders quickly identify key zones.
- Labels are placed next to each level, displaying the corresponding price for easy reference.
4. Application Across Instruments:
- This indicator works seamlessly with various asset classes, including stocks, indices, forex, and cryptocurrencies.
How to Use:
1.Identify Key Price Zones:
- Use the plotted psychological levels to spot areas where price action is likely to react.
- Levels such as 1125, 1250, and 1375 (for a step size of 125) are visually highlighted.
2. Plan Trades Around Key Levels:
- These levels can act as support/resistance or breakout points, providing opportunities for entry, exit, and stop-loss placement.
3. Customizable Settings:
- Adjust the starting level and step size to tailor the indicator to your trading instrument or strategy.
Why Psychological Levels Matter:
Psychological levels are widely followed by traders and often coincide with key market turning points due to their significance in human behavior and market psychology. They are frequently used by institutional traders, making them valuable reference points for intraday and swing trading.
Custom Settings:
- **Starting Level:** Default: `0`
- **Step Size:** Default: `125`
Disclaimer:
This indicator is a technical analysis tool and is not intended to provide financial advice. Always combine it with other indicators and perform your due diligence before making trading decisions.
OHOL_VWAP_STIts all about OH and OL concept for Nifty Future.
1.When OH candle formed and breaks the high we can enter the position, candle should be below supertrend , moving average and vwap .
2..When OL candle formed and breaks the high we can enter the position, candle should be above supertrend , moving average and vwap .
Swing Structure Scanner [LuxAlgo]The Swing Structure Scanner Indicator is a dashboard type indicator which displays a Consolidated "High/Low-Only" view of swing structure, with the capability to retrieve and display swing points from up to 6 different tickers and timeframes at once.
🔶 USAGE
This indicator displays swing structure data from up to 6 unique tickers or timeframes; Each graph represents the current swing structure retrieved from the requested chart/s.
Each swing graph displays the current live swing point positioning relative to the previous swing points. By analyzing the different formations, patterns can more easily be recognized and found across multiple tickers or timeframes at once.
This indicator serves as a nifty tool for confluence recognition, whether that's confluence throughout market tickers, or confluence through higher timeframes on the same ticker.
Alternatively, viewing the relative positioning of each swing point to each other, should give a clearer idea when higher lows or lower highs are formed. This can potentially indicate a newly forming trend, as well as serving as a warning to watch for breakouts.
The swing length can be changed to align with each individual's strategy, as well as a display look back can be adjusted to show more or less swing points at one time.
The display is fairly customizable, it is not fixed to 6 symbols at all times and can be minimized to only display the number of symbols needed; Additionally, the display can be set to vertical mode or horizontal(default) to utilize as needed.
Note: Hover over the swing point in the dashboard to get a readout of the exact price level of the swing point.
🔶 SETTINGS
Swing Length: Set the swing length for the structure calculations.
Swing Display Lookback: Sets the number of swing points (Pairs) to display in each Swing Graph display.
Symbols: Sets the Timeframe and Symbol for each Swing Graph.
Vertical Display: Display the Swing Graphs up and down, rather than side to side.
Scaling Factor: Scales the entire indicator up or down, to fit your needs.
Option Time ValueThis TradingView script calculates and visualizes the time value of an option (Call or Put) based on its market price and intrinsic value. The time value represents the premium paid for the option above its intrinsic value, and it is a key metric for analyzing the cost of holding an option.
This script is suitable for traders analyzing options on indices or stocks, such as the NIFTY 50, and supports both Call and Put options. By dynamically extracting the strike price and option type from the input symbol, it adapts seamlessly to the selected instrument.
Key Features:
Dynamic Instrument Selection:
Users can input the underlying asset (e.g., NSE:NIFTY) and the specific option instrument (e.g., NSE:NIFTY250327C24000 for a Call or NSE:NIFTY250327P24000 for a Put).
Automatic Option Type Detection:
The script detects whether the option is a Call or a Put by parsing the input symbol for the characters "C" (Call) or "P" (Put).
Dynamic Strike Price Extraction:
The strike price is dynamically extracted from the input option symbol, eliminating the need for hardcoding and reducing user errors.
Key Metrics Plotted:
Time Value: The premium paid above the intrinsic value, plotted in blue.
Intrinsic Value: The calculated intrinsic value of the option, plotted in green.
Seamless Integration:
Designed for ease of use and integration into existing TradingView setups.
Automatically adjusts to the timeframe and pricing data of the selected instruments.
Options Cumulative Chart AnalysysThis Pine Script is a comprehensive tool designed for traders analyzing options data on TradingView. It aggregates multiple symbols to calculate and visualize cumulative performance, providing essential insights for decision-making.
Key Features:
Symbol and Strike Price Configuration:
Supports up to four configurable symbols (e.g., NIFTY options).
Allows defining buy/sell actions, quantities, and entry premiums for each symbol.
Customizable Chart Display:
Plot candlesticks and line charts for cumulative data.
Configurable Exponential Moving Averages (EMAs) for technical analysis.
Entry and price lines with customizable colors.
Timeframe Management:
Supports higher timeframe (HTF) candles.
Ensures compatibility with the current chart timeframe to maintain accuracy.
Dynamic Coloring and Visualization:
Red, green, and gray color schemes for body and wicks of candlesticks based on price movements.
Customizable positive and negative color schemes.
Table for Data Representation:
Displays an info table showing symbols, quantities, entry prices, and latest traded prices (LTP).
Adjustable table position, overlay, and styling.
Premium and Profit/Loss Calculations:
Calculates cumulative open, high, low, and close prices considering premiums and quantities.
Tracks the profit and loss dynamically based on cumulative premiums and market prices.
Alerts and Notifications:
Alerts triggered on specific conditions, such as when the profit/loss turns negative.
Modular Functions:
Functions for calculating high/low/open/close values, combining premiums, and drawing candlesticks.
Utilities for symbol management and security requests.
Custom Settings:
Includes a wide range of input options for customization:
Timeframes, EMA lengths, colors, table configurations, and more.
Error Handling:
Validates timeframe inputs to ensure compatibility and prevent runtime errors.
This script is designed for advanced traders looking for a customizable tool to analyze cumulative options data efficiently. By leveraging its modular design and visual elements, users can make informed trading decisions with a holistic view of market movements.
Option vs Index Performance**Indicator Name:** Option vs Index Performance
**Description:**
This indicator helps traders analyze the relative performance of options compared to their underlying index (e.g., Nifty 50). It evaluates and highlights zones based on two key metrics:
1. **Bar-to-Bar Performance:** Compares the percentage movement of the option price against the index movement on a bar-by-bar basis.
- **Green Zone**: Option outperforms the index.
- **Yellow Zone**: Option moves in sync with the index.
- **Red Zone**: Option underperforms the index.
2. **Swing Alignment:** Tracks the swing structure of the index (higher highs, higher lows) and compares it with the option chart. The indicator checks if the option's swings align with or deviate from the index's swing pattern.
The final output combines both conditions, providing clear visual zones below the chart:
- **Green**: Overperformance and alignment with the index.
- **Yellow**: Neutral performance or partial alignment.
- **Red**: Underperformance or misalignment with the index.
Use this tool on option charts to quickly identify opportunities and assess whether the option's movement is in line with the broader market trend.
Ticker Tape with Multiple Inputs# Ticker Tape
A customizable multi-symbol price tracker that displays real-time price information in a scrolling ticker format, similar to financial news tickers.
This indicator is inspired from Tradingciew's default tickertape indicator with changes in the way inputs are given.
### Overview
This indicator allows you to monitor up to 15 different symbols simultaneously across any supported exchanges on TradingView. It displays essential price information including current price, price change, and percentage change in an easy-to-read format at the bottom of your chart.
### Features
• Monitor up to 15 different symbols simultaneously
• Support for any exchange available on TradingView
• Real-time price updates
• Color-coded price changes (green for increase, red for decrease)
• Smooth scrolling animation (can be disabled)
• Customizable scroll speed and position offset
### Input Parameters
#### Ticker Tape Controls
• Running: Enable/disable the scrolling animation
• Offset: Adjust the starting position of the ticker tape
#### Symbol Settings
• Exchange (1-15): Enter the exchange name (e.g., NSE, BINANCE, NYSE)
• Symbol (1-15): Enter the symbol name (e.g., BANKNIFTY, RELIANCE, BTCUSDT)
### Display Format
For each symbol, the ticker shows:
1. Symbol Name
2. Current Price
3. Price Change (Absolute and Percentage)
### Example Usage
Input Settings:
Exchange 1: NSE
Symbol 1: BANKNIFTY
Exchange 2: NSE
Symbol 2: RELIANCE
The ticker tape will display:
`NIFTY BANK 46750.00 +350.45 (0.75%) | RELIANCE 2456.85 -12.40 (-0.50%) |`
### Use Cases
1. Multi-Market Monitoring: Track different markets simultaneously without switching between charts
2. Portfolio Tracking: Monitor all your positions in real-time
### Tips for Best Use
1. Group related symbols together for easier monitoring
2. Use the offset parameter to position important symbols in your preferred viewing area
3. Disable scrolling if you prefer a static display
4. Leave exchange field empty for default exchange symbols
### Notes
• Price updates occur in real-time during market hours
• Color coding helps quickly identify price direction
• The indicator adapts to any chart timeframe
• Empty input pairs are automatically skipped
### Performance Considerations
The indicator is optimized for efficiency, but monitoring too many high-frequency symbols might impact chart performance. It's recommended to use only the symbols you actively need to monitor.
Version: 2.0 Stock_Cloud
Last Updated: December 2024
Stock_Cloud-EMA,VWAP,ST Indicator_V1Stock_Cloud V1 - EMA, VWAP, SuperTrend Strategy Indicator
This indicator combines three powerful technical indicators (EMA, VWAP, and SuperTrend) to create a comprehensive trading system that helps identify high-probability trading setups when all components align.
Strategy Components & Logic:
• EMA (Exponential Moving Average): Acts as a dynamic support/resistance and trend direction indicator
• VWAP (Volume Weighted Average Price): Provides important institutional price levels and volume-based trend strength
• SuperTrend: Offers trend direction and potential reversal points
Why These Components Work Together:
1. EMA filters out market noise while maintaining responsiveness to price changes
2. VWAP adds volume-based price validation, especially useful for intraday trading
3. SuperTrend confirms trend direction and potential reversal points
4. When all three indicators align, it creates a high-probability setup
Signal Generation:
• Bullish Signal: Generated when price crosses above all three indicators (EMA, VWAP, and SuperTrend turns bullish)
• Bearish Signal: Generated when price crosses below all three indicators (EMA, VWAP, and SuperTrend turns bearish)
• Background color changes help visualize the current market condition
Settings:
- EMA Length: 20 (default, adjustable)
- SuperTrend Period: 10 (default, adjustable)
- SuperTrend Multiplier: 3.0 (default, adjustable)
How to Use:
1. Look for potential entries when all three indicators align
2. Small triangles mark key entry points when alignment occurs
3. Use background color as additional confirmation
4. Monitor price action relative to all three indicators for exit signals
Best Timeframes:
Works well on all timeframes, but particularly effective on 5-minute to daily charts for stocks and indices.
Note: This indicator combines traditional technical analysis tools in a unique way to provide clear, actionable signals. Always use proper risk management and consider other factors like market conditions and support/resistance levels.
Created by Stock_Cloud
Version 2.0
simple swing indicator-KTRNSE:NIFTY
1. Pivot High/Low as Lines:
Purpose: Identifies local peaks (pivot highs) and troughs (pivot lows) in price and draws horizontal lines at these levels.
How it Works:
A pivot high occurs when the price is higher than the surrounding bars (based on the pivotLength parameter).
A pivot low occurs when the price is lower than the surrounding bars.
These pivots are drawn as horizontal lines at the price level of the pivot.
Visualization:
Pivot High: A red horizontal line is drawn at the price level of the pivot high.
Pivot Low: A green horizontal line is drawn at the price level of the pivot low.
Example:
Imagine the price is trending up, and at some point, it forms a peak. The script identifies this peak as a pivot high and draws a red line at the price of that peak. Similarly, if the price forms a trough, the script will draw a green line at the low point.
2. Moving Averages (20-day and 50-day):
Purpose: Plots the 20-day and 50-day simple moving averages (SMA) on the chart.
How it Works:
The 20-day SMA smooths the closing price over the last 20 days.
The 50-day SMA smooths the closing price over the last 50 days.
These lines provide an overview of short-term and long-term price trends.
Visualization:
20-day SMA: A blue line showing the 20-day moving average.
50-day SMA: An orange line showing the 50-day moving average.
Example:
When the price is above both moving averages, it indicates an uptrend. If the price crosses below these averages, it might signal a downtrend.
3. Supertrend:
Purpose: The Supertrend is an indicator based on the Average True Range (ATR) and is used to track the market trend.
How it Works:
When the market is in an uptrend, the Supertrend line will be green.
When the market is in a downtrend, the Supertrend line will be red.
Visualization:
Uptrend: The Supertrend line will be plotted in green.
Downtrend: The Supertrend line will be plotted in red.
Example:
If the price is above the Supertrend, the market is considered to be in an uptrend, and if the price is below the Supertrend, the market is in a downtrend.
4. Momentum (Rate of Change):
Purpose: Measures the rate at which the price changes over a set period, showing if the momentum is positive or negative.
How it Works:
The Rate of Change (ROC) measures how much the price has changed over a certain number of periods (e.g., 14).
Positive ROC indicates upward momentum, and negative ROC indicates downward momentum.
Visualization:
Positive ROC: A purple line is plotted above the zero line.
Negative ROC: A purple line is plotted below the zero line.
Example:
If the ROC line is above zero, it means the price is increasing, suggesting bullish momentum. If the ROC is below zero, it indicates bearish momentum.
5. Volume:
Purpose: Displays the volume of traded assets, giving insight into the strength of price movements.
How it Works:
The script will color the volume bars based on whether the price closed higher or lower than the previous bar.
Green bars indicate bullish volume (closing price higher than the previous bar), and red bars indicate bearish volume (closing price lower than the previous bar).
Visualization:
Bullish Volume: Green volume bars when the price closes higher.
Bearish Volume: Red volume bars when the price closes lower.
Example:
If you see a green volume bar, it suggests that the market is participating in an uptrend, and the price has closed higher than the previous period. Red bars indicate a downtrend or selling pressure.
6. MACD (Moving Average Convergence Divergence):
Purpose: The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of the price.
How it Works:
The MACD Line is the difference between the 12-period EMA (Exponential Moving Average) and the 26-period EMA.
The Signal Line is the 9-period EMA of the MACD Line.
The MACD Histogram shows the difference between the MACD line and the Signal line.
Visualization:
MACD Line: A blue line representing the difference between the 12-period and 26-period EMAs.
Signal Line: An orange line representing the 9-period EMA of the MACD line.
MACD Histogram: A red or green histogram that shows the difference between the MACD line and the Signal line.
Example:
When the MACD line crosses above the Signal line, it’s considered a bullish signal. When the MACD line crosses below the Signal line, it’s considered a bearish signal.
Full Chart Example:
Imagine you're looking at a price chart with all the indicators:
Pivot High/Low Lines are drawn as red and green horizontal lines.
20-day and 50-day SMAs are plotted as blue and orange lines, respectively.
Supertrend shows a green or red line indicating the trend.
Momentum (ROC) is shown as a purple line oscillating around zero.
Volume bars are green or red based on whether the close is higher or lower.
MACD appears as a blue line and orange line, with a red or green histogram showing the MACD vs. Signal line difference.
How the Indicators Work Together:
Trend Confirmation: If the price is above the Supertrend line and both SMAs are trending up, it indicates a strong bullish trend.
Momentum: If the ROC is positive and the MACD line is above the Signal line, it further confirms bullish momentum.
Volume: Increasing volume, especially with green bars, suggests that the trend is being supported by active participation.
By using these combined indicators, you can get a comprehensive view of the market's trend, momentum, and potential reversal points (via pivot highs and lows).
Divides company with IndexOverview:
This indicator simplifies the comparison of a stock's performance against a specified index, such as the Nifty 50. By calculating and plotting the ratio between the two, it provides a clear visual representation of relative strength.
Key Features:
-Direct Comparison: Easily compare any stock against a selected index.
-Customizable Index: Choose from a dropdown menu or input a custom index symbol.
-Visual Clarity: Maximizing the chart provides a clear view of the relative performance.
-SMA Overlay: Add a Simple Moving Average (SMA) to identify trends and potential entry/exit
points.
-Customizable Appearance: Adjust background color, text color, and label size for personalized
visualization.
How to Use:
Add the Indicator: Add the indicator to your chart.
Select the Index: Choose the desired index from the dropdown menu or input a custom symbol.
Analyze the Ratio:
-A rising ratio indicates the stock is outperforming the index.
-A falling ratio suggests underperformance.
-The SMA can help identify potential trends and momentum.
Customize the Appearance: Adjust the background color, text color, and label size to suit your preferences.
Benefits:
-Improved Decision Making: Gain insights into a stock's relative strength.
-Faster Analysis: Quickly compare multiple stocks against a benchmark index.
-Enhanced Visualization: Customize the chart for better understanding.
-By leveraging this indicator, you can make informed trading decisions and gain a deeper
understanding of market dynamics.
Weekly Range & Trend (Signed)Weekly Trend & Range is basically calculated every week.
It helps to get a broad idea whether coming week market can be directional , volatile or range bound action. So this helps me to get a hint which style of approach should be given more important on positional basis like directional or non-directional.
I mostly track in NSE:BANKNIFTY , NSE:NIFTY , BSE:SENSEX
For example:
Average range difference of past 4 weeks is bigger in compare to current week range difference means good chance for directional opportunities.
Average range difference of past 4 weeks is lesser in compare to current week range difference means good chance for non-directional opportunities.
Directional or Non-directional hint is been shown in terms of probability . So based on this i plan my week and trades.
Options Series - Technical Analysis Chart➤ Simple Technical Chart Only:
➤ With MA-20 Overlay and Volatility background bars:
➤ With RSI Candles:
⭐ Overview and How It Works:
This script provides a multi-asset analysis tool to assess various market conditions across four symbols simultaneously. It combines several indicators such as daily price change, Moving Averages (MA), Bollinger Bands (BB), Parabolic SAR, RSI, and VWAP to generate buy/sell signals and trend indicators. Its strength lies in the layered use of indicators to enhance signal reliability, making it valuable for traders needing cross-validation in decision-making.
⭐ Key Features and Functionality:
The script evaluates each symbol's price against various indicators and conditions:
Daily Price Conditions: It checks if each symbol’s close price is above or below the previous day’s open, close, and intra-day ranges, forming a foundational bullish/bearish condition.
Range Breakout 1st 5min Candle (ORB): Opening Range Breakout levels are calculated and compared with current close prices, detecting breakout/breakdown conditions.
ORB Body: This basically calculates the previous day Daily candle body size, if todays Daily candle body size is greater than previous day, then we can say that we are having good momentum else its likely to be in-sidebar trading.
Moving Averages (MA): It leverages EMA-20, 2-day, and 3-day exponential moving averages to gauge short to medium-term trends.
RSI and VWAP: Relative Strength Index (RSI) determines overbought or oversold conditions, while VWAP compares prices to volume-weighted levels.
Bollinger Bands and Trend Analysis: Detects volatility and potential breakout conditions.
Concept of ORB Body:
Current_PrevDay_Body = (math.max(var_Current_PrevD_Open, var_Current_PrevD_Close) - math.min(var_Current_PrevD_Open, var_Current_PrevD_Close))
Current_Upper_ORB = var_Current_D_Open + Current_PrevDay_Body
Current_Lower_ORB = var_Current_D_Open - Current_PrevDay_Body
Current_TodayDay_Body = math.max(var_Current_D_Open, var_Current_Close) - math.min(var_Current_D_Open, var_Current_Close)
Current_ORBBody = Current_TodayDay_Body > Current_PrevDay_Body
Current_Upper_ORB_bull = (var_Current_Close > Current_Upper_ORB)
Current_Lower_ORB_bear = (var_Current_Close < Current_Lower_ORB)
🎨 Visualizations and User Experience:
The script can dynamically display colored backgrounds indicating trends when conditions are met. For example, the bgcolor function changes the background when certain trend-based criteria are satisfied, offering visual cues to users. Additionally, the checkbox input toggles trend bar visualizations, enhancing user experience by providing a quick visual reference without needing to interpret individual data points manually.
RSI-Based Candle Coloring:
➤ The script customizes candle colors based on RSI thresholds, specifically defining upper (60) and lower (40) RSI levels. When the RSI value exceeds the upper threshold, candles are colored as bullish (green), and if it falls below the lower threshold, candles are colored as bearish (red). Neutral RSI values result in a default color (gray).
➤ This setup offers a visually intuitive way to identify potential trend directions based on RSI levels, making it ideal for traders looking to gauge momentum visually.
⭐ Settings and Customization:
With multiple user-configurable inputs, the script allows for tailored analysis. Customizable parameters, such as enabling/disabling trend bars and setting various look-back periods for indicators like Bollinger Bands and Moving Averages, make it adaptable to various trading styles and preferences. It also allows users to modify visual elements like colors and styles, improving flexibility.
⭐ Uniqueness of the Concept:
The unique aspect of this script is its multi-symbol approach combined with complex conditions. By comparing not only one but four symbols simultaneously, it provides a broader market view and allows traders to correlate signals across different assets, offering a potential edge for diversified or comparative strategies. Additionally, the incorporation of ORB and multi-timeframe MAs gives it a robustness often lacking in simpler single-symbol scripts.
🚀 Conclusion:
This script is a powerful multi-indicator tool suited for traders looking for a comparative, multi-symbol analysis. With features like ORB, Bollinger Band-based trend detection, and MA cross-verification, it can assist traders in identifying and validating trend signals across assets. The user-friendly visualizations and customizable settings further enhance its usability, making it versatile for various trading strategies and preferences.
Percent Trend Change [BigBeluga]The Percent Trend Change indicator is a trend-following tool that provides real-time percentage changes during trends based on entry prices. Using John Ehlers’ Ultimate Smoother filter, it detects trend direction, identifies uptrends and downtrends, and tracks percentage changes during the trend. Additionally, it has a channel that can be toggled on or off, and the width can be customized, adding an extra visual layer to assess trend strength and direction.
NIFTY50:
META:
🔵 IDEA
The Percent Trend Change indicator helps traders visualize the progression of a trend with percentage changes from entry points. It identifies trends and marks percentage changes during the trend, making it easier to assess the strength and sustainability of the ongoing trend.
The use of John Ehlers' Ultimate Smoother filter helps detect trend changes based on consecutive price movements over five bars, making it highly responsive to short- and medium-term trends.
🔵 KEY FEATURES & USAGE
◉ Ultimate Smoother Filter for Trend Detection:
The trend is detected using the Ultimate Smoother filter. If the smoothed line rises five times in a row, the indicator identifies an uptrend. If it falls five times in a row, it identifies a downtrend.
◉ Trend Entry with Price Labels:
The indicator marks trend entry points with up (green) and down (red) triangles. These triangles are labeled with the entry price, allowing traders to track the starting price of the trend.
◉ Percentage Change Labels During Trends:
During a trend, the indicator periodically plots percentage change labels based on the bar period set in the settings.
In an uptrend, positive changes are marked in green, while negative changes are marked in orange. In a downtrend, negative changes are marked in red, while positive changes are marked in orange.
Each plotted percentage label also includes a count of the trend points, allowing traders to track how many times the percentage labels have been plotted during the current trend.
These percentage labels help traders understand how much the price has changed since the trend began and can be used to define potential take-profit targets.
◉ Channel Toggle and Width Customization:
The indicator includes a channel that visually highlights the trend. Traders can toggle this channel on or off, and the width of the channel can be adjusted to match individual preferences. The channel helps visualize the overall trend direction and the range within which price fluctuations occur.
🔵 CUSTOMIZATION
Smoother Length: Adjusts the length of the Ultimate Smoother filter, affecting how responsive the indicator is to price fluctuations.
Bars Percent: Defines how many bars must pass before a new percentage label is plotted. A smaller value plots labels more frequently, while a higher value shows fewer labels.
Channel Width & Show Channel: The width of the channel can be customized, and traders can toggle the channel on or off depending on their preferences.
Color Customization: Traders can customize the colors for the uptrend, downtrend, and percentage labels, providing flexibility in how the indicator is displayed on the chart.
By combining trend-following capabilities with percentage change tracking, the Percent Trend Change indicator offers a powerful tool for identifying trend direction and setting potential take-profit targets. The ability to customize the channel and percentage labels makes it adaptable to various trading strategies.
Donchian Channels Osciliator with MA validationWhat's it all about?
This nifty little tool, the Donchian Channels Oscillator, helps you spot when a stock might be overbought or oversold. It's like a price detective, looking for clues in the historical data to figure out if it's time to buy or sell.
How does it work?
Think of it as a seesaw. When the price is way above the Donchian Channels, it's like the seesaw is tilted too far to one side. That might mean it's time to sell before it falls. On the other hand, if the price is way below the channels, it's like the seesaw is tilted too far to the other side. This could be a good sign to buy, as the price might be ready to bounce back.
Key Points:
Donchian Channels: These are like safety nets. They're calculated based on the highest and lowest prices over a certain period.
Oscillator: This is just a fancy word for a tool that swings back and forth. In this case, it swings between overbought and oversold zones.
EMA-Line: This is a smoothed-out version of the oscillator. It helps you see the overall trend more clearly.
How to Use It:
Add it to your chart: Find it in the indicator search bar.
Adjust settings: You can tweak the length of the Donchian Channels and the offset to fit your trading style.
Watch the swings: When the oscillator goes way up, it might be time to sell. When it goes way down, it might be time to buy. But always use this with other indicators for confirmation.
Remember: This is just a tool, not a magic crystal ball. Don't rely solely on it for trading decisions. Always do your own research and consider other factors.
Happy trading!
CANSLIM IBD Relative Strength NIFTYSMLCAP250 (Daily & Weekly)This Pine Script (written in version 5) is designed to calculate the IBD Relative Strength for both daily and weekly timeframes, comparing the current chart's security to the NIFTY SMLCAP 250 index. Here's a breakdown of the code:
1. Indicator Initialization: This line sets up the indicator with both a short and full title. The overlay=true means the plot will be drawn on top of the price chart.
2. Fetching Data: This fetches the daily ("D") and weekly ("W") close prices for the NIFTY SMLCAP 250 index.
3. Relative Strength Calculation: Relative strength is calculated as the ratio of the security's current close price to the close price of the NIFTY SMLCAP 250, multiplied by 100 for both daily and weekly timeframes.
4. Timeframe-Based Selection: Here, the script checks whether the chart is in daily or weekly mode and selects the corresponding relative strength value.
5. Scaling with Multiplier: This section ensures there are at least 60 bars of data and scales the relative strength by using a multiplier derived from the 60th previous bar's close price.
6. Plotting: Finally, the scaled relative strength is plotted on the chart in black.
Improvements :
Dynamic Timeframe Handling: You might want to extend this for other timeframes, e.g., monthly.
Customization: You can add user input parameters to adjust the timeframe, scale factor, or period dynamically.
Color Enhancements: You can add color variation to indicate strength/weakness more clearly.
Sector Performance v0.3Sector Performance Dashboard v0.3 (Work In Progress)
- Provides a comprehensive view of sector and stock performance across multiple timeframes
Features:
- Displays performance data for various Indian market sectors and their constituent stocks
- Allows selection of different sector groups (e.g., NIFTY, BANKNIFTY, CNXAUTO, etc.)
- Shows performance over four customizable time periods (default: Year, Quarter, Month, Week)
- Calculates percentage change for each time period
- Presents current price, 250-day high and low, and percentage distance from these extremes
- Uses color-coding to quickly identify positive (green) and negative (red) performance
- Adjustable text size for better visibility
- Functionality:
- Creates a table in the center of the chart
- Populates the table with up to 15 symbols per sector
- Updates data in real-time on daily timeframe
- Allows for easy comparison of different stocks within a sector
- User Inputs:
- Sector selection
- Four customizable date inputs for different time periods
- Adjustable text size for the table
- Use Cases:
- Quick sector rotation analysis
- Identifying outperforming and underperforming stocks within a sector
- Monitoring multiple timeframes simultaneously for comprehensive market view
- Assisting in stock screening and selection process
Half Trend HeikinAshi [BigBeluga]This indicator is a cool combo of the half-trend methodology and Heikin Ashi candles. The main idea is to help spot where the market is trending and where it might be reversing by using a mix of moving averages and the highest and lowest price data values. What’s nice is that it doesn’t just give you trend lines but also converts them into Heikin Ashi candles, so you can visually gauge the strength of a trend based on candle sizes.
NIFTY50:
NVIDIA:
🔵 IDEA
The thinking behind this Half Trend HeikinAshi indicator is pretty straightforward: it’s designed to give you a flexible way to detect trends and trend reversals, but with an added bonus—measuring trend strength via Heikin Ashi candles. The core idea is based on the classic half-trend strategy, where it adjusts to the highest and lowest price values within a certain period. The Heikin Ashi transformation smooths out half-trend line, making it easier to spot solid trends and potential reversals.
🔵 KEY FEATURES & USAGE
◉ Half Trend Calculation with Reversal Signals:
The main feature here is spotting trends based on a moving average of the close price and the highest/lowest price data.
//#region ———————————————————— Calculations
// Calculate moving average of close prices
series float closeMA = ta.sma(close, amplitude)
// Calculate highest high and lowest low
series float highestHigh = ta.highest(amplitude)
series float lowestLow = ta.lowest(amplitude)
// Initialize hl_t on the first bar
if barstate.isfirst
hl_t := close
// Update hl_t based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
When the trend flips, you’ll see arrows on your chart—either pointing up or down—marking the exact price where that reversal occurred. This makes it easy to see where the market might turn, which is helpful for timing entries and exits.
◉ Heikin Ashi Candlestick Transformation:
There’s a Heikin Ashi mode that transforms the half-trend line into Heikin Ashi candles.
These smooth out market noise and make the overall trend much clearer.
◉ Trend Strength Calculation:
The indicator doesn’t just stop at showing trends. It also calculates trend strength based on the size of the Heikin Ashi candles. Bigger candles mean stronger trends, and smaller ones indicate weaker momentum. You can see this displayed on the dashboard, so you know exactly how strong the current trend is at any moment.
◉ Graphical Dashboard Display:
You’ve got a small dashboard right on the chart that shows key info like the ticker, timeframe, and whether the trend is up or down. If you’re in Heikin Ashi mode, it shows trend strength instead. So, no need to dig through the data—you can just glance at the dashboard for a quick market read.
🔵 CUSTOMIZATION
Amplitude Input: You can tweak the amplitude to control how sensitive the half-trend line is. A lower setting makes it more reactive to small price moves, while a higher setting smooths it out for longer-term trends.
Heikin Ashi Toggle: You can easily switch between standard half-trend lines and Heikin Ashi candle mode, depending on how you prefer to see the market.
Trend Colors: You’ve got control over the colors for up and down trends, so you can adjust the appearance to fit your charting style.
Signal Labels size: Change Labels signal sizes for your preference
🔵 CONCLUSION
The Half Trend HeikinAshi indicator is a solid tool for tracking trends and measuring their strength. By combining the usual half-trend signals with Heikin Ashi candles, you get a clearer picture of what’s happening in the market. Whether you're looking to spot potential reversals or just want to measure the strength of a current trend, this indicator gives you plenty of flexibility to do both.
