Elliott Wave AnalysisInitially, Elliott wave analysis is designed to simplify and increase the objectivity of graph analysis using the Elliott method. Probably, this indicator can be successfully used in trading without knowing the Elliott method.
The indicator is based on a supertrend. Supertrends are built in accordance with the Fibonacci grid. The degree of waves in the indicator settings corresponds to a 1-hour timeframe - this is the main mode of working with the indicator. I also recommend using weekly (for evaluating large movements) and 1-minute timeframes.
When using other timeframes, the baseline of the indicator will correspond to:
1 min-Submicro
5 minutes-Micro
15 minutes-Subminuette
1 hour-Minuette
4 hours-Minute
Day-Minor
Week-Intermediate
Month-Primary
Those who are well versed in the Elliott method can see that the waves fall on the indicator almost perfectly. To demonstrate this, I put the markup on the graph
Komut dosyalarını "supertrend" için ara
Bank Nifty ScalpingThis indicator is designed for scalping purposes.
Users have the option to input the desired source and enable or disable the following indicators:
Multiple EMA (Exponential moving average)
Simultaneously displays multiple moving averages to quickly identify shifts in momentum and obtain confirmation from slower-moving averages.
By default, the EMA display settings are configured to show the 20-day EMA and the 200-day EMA. However, users have the flexibility to modify the display settings according to their preferences. This means that users can customize the indicator to show the EMA values of their choice, such as EMA 50 and EMA 100.
VWAP ( Volume weighted average price )
Default value is set to ‘hl2’
A bullish trend is indicated when the price is above the Volume Weighted Average Price (VWAP), while a bearish trend is indicated when the price is below the VWAP.
VWMA ( Volume weighted moving average )
In the VWMA (Volume Weighted Moving Average) indicator, a default value of 20 is used. If the price is higher than the VWMA, it typically indicates a bullish trend. Conversely, if the price is lower than the VWMA, it suggests a bearish trend. The VWMA takes into account both price and volume, providing a weighted average that can help identify shifts in market sentiment.
Multiple SuperTrends
Default value is 10 and 2 / 10 and 3
A bullish trend is identified when the price is above the SuperTrend indicator, whereas a bearish trend is observed when the price is below the SuperTrend indicator.
Camarilla Pivot Points (Level 3 and 4 only)
Levels 3 and 4 serve as crucial support and resistance levels, acting as the final line of defense against strong trends. These levels are expected to generate reversals, where price often changes direction.
CPR ( Central Pivot Points)
The Daily Central Pivot Point Indicator is a popular tool used in technical analysis. It calculates several levels based on the previous day's high, low, and closing prices.
Strong Volume
The user has the ability to set the average volume for Nifty and BankNifty indices to calculate strong volume.
Elder Impulse System
The Impulse System, developed by Alexander Elder and discussed in his book "New Trading for a Living," is a censorship trading system designed to determine whether a trade should be allowed or prohibited. Additionally, it can be used to identify when a trend is starting to weaken. The Impulse System relies on the following factors:
1. Slope of a Fast Exponential Moving Average (EMA): The fast EMA's slope reflects the price's inertia or momentum.
2. Slope of the Moving Average Convergence Divergence (MACD): The MACD's slope indicates the strength or power of the price movement.
Based on these factors, the Impulse System categorizes candles or price bars into three colors:
* Green Candle: When both the fast EMA and MACD are rising, indicating upward momentum.
* Red Candle: When both the fast EMA and MACD are declining, suggesting downward momentum.
* Blue Candle: In all other cases where the conditions for green or red candles are not met, representing a neutral or uncertain market condition.
By applying the Impulse System, traders can gain insights into the market trend, its strength, and potential shifts in momentum, helping them make informed trading decisions.
Happy Trading
Trailing stopHi all!
This script helps to alert you when a trailing stop is hit. More specifically it alerts you when the low of the candle crosses below your trailing stop. A trailing stop follows a price positive movements. It raises your stop when price goes up, but keeps it at the same level if price goes down, so it "locks" in your profit. You define your long entry bar and choose one of the following methods for the stop:
ATR
The Average True Range (ATR) is popular to trail stops. The trailing stop is raised by the low minus the ATR (times a factor that can be set under the settings for ATR).
EMA
The Exponential Moving Average (EMA) can be used to trail your stop. When the low goes below the EMA an alert is sent about the stop. Its length can be set in the settings.
SMA
The Simple Moving Average (SMA) can be used to trail your stop. When the low goes below the SMA an alert is sent about the stop. Its length can be set in the settings.
Source
An external source can be useful as a stop signal. You can use this option that will stop you out when the signal returns anything else than "na". E.g. if you want a stop when KivancOzbilgic script "SuperTrend" () turns red, you set the source to "Supertrend: Down Trend". This option will not draw pretty things on the chart, but it will alert you!
Please note that this is for long entries only.
Best of trading luck!
Buy/Sell on the levelsThis script is generally
My describe is:
There are a lot of levels we would like to buy some crypto.
When the price has crossed the level-line - we buy, but only if we have the permission in array(2)
When we have bought the crypto - we lose the permission for buy for now(till we will sell it on the next higher level)
When we sell some crypto(on the buying level + 1) we have the permission again.
There also are 2 protect indicators. We can buy if these indicators both green only(super trend and PIVOT )
Jun 12
Release Notes: Hello there,
Uncomment this section before use for real trade:
if array.get(price_to_sellBue, i) >= open and array.get(price_to_sellBue, i) <= close// and
//direction < 0 and permission_for_buy != 0
Here is my script.
In general - this is incredible simple script to use and understand.
First of all You can see this script working with only long orders, it means we going to get money if crypto grows only. Short orders we need to close the position on time.
In this script we buy crypto and sell with step 1% upper.
You can simply change the step by changing the price arrays.
Please note, if You want to see where the levels of this script is You Have to copy the next my indicator called LEVEL 1%
In general - if the price has across the price-level we buy some crypto and loose permission for buying for this level till we sell some crypto. There is ''count_of_orders" array field with value 2. When we bought some crypto the value turns to 0. 0 means not allowed to by on this level!!! The script buy if the bar is green only(last tick).
The script check every level(those we can see in "price_to_sellBue" array).
If the price across one of them - full script runs. After buying(if it possible) we check is there any crypto for sell on the level.
We check all levels below actual level( of actual level - ''i'' than we check all levels from 0 to i-1).
If there is any order that has value 0 in count of orders and index <= i-1 - we count it to var SELL amount and in the end of loop sell all of it.
Pay attention - it sells only if price across the level with red bar AND HAS ORDERS TO SELL WHICH WAS BOUGHT BELOW!!!
In Strategy tester it shows not-profitables orders sometimes, because if You have old Long position - it sells it first. First in - first out.
If the price goes down for a long time and You sell after 5 buys You sell the first of it with the highest value.
There is 2 protection from horrible buying in this strategy. The first one - Supertrend. If the supertrend is red - there is no permission for buy.
The second one - something between PIVOT and supertrend but with switcher.
If the price across last minimum - switcher is red - no permission for buy and the actual price becomes last minimum . The last maximum calculated for last 100 bars.
When the price across last maximum - switcher is green, we can buy. The last minimum calculation for last 100 bars, last maximum is actual price.
This two protections will save You from buying if price get crash down.
Enjoy my script.
Should You need the code or explanation, You have any ideas how to improve this crypt, contact me.
Vladyslav.
Jun 12
Release Notes: Here has been uncommented the protection for buy in case of price get down.
5 hours ago
Release Notes: Changed rages up to actual price to make it work
Zigzag Trend/Divergence DetectorPullbacks are always hardest part of the trade and when it happen, we struggle to make decision on whether to continue the trade and wait for recovery or cut losses. Similarly, when an instrument is trending well, it is often difficult decision to make if we want to take some profit off the table. This indicator is aimed to make these decisions easier by providing a combined opinion of sentiment based on trend and possible divergence.
⬜ Process
▶ Use any indicator to find trend bias. Here we are using simple supertrend
▶ Use any oscillator. I have added few inbuilt oscillators as option. Default used is RSI.
▶ Find divergence by using zigzag to detect pivot high/low of price and observing indicator movement difference between subsequent pivots in the same direction.
▶ Combine divregence type, divergence bias and trend bias to derive overall sentiment.
Complete details of all the possible combinations are present here along with table legend
⬜Chart Legend
C - Continuation
D - Divergence
H - Hidden Divergence
I - Indeterminate
⬜ Settings
▶ Zigzag parameters : These let you chose zigzag properties. If you check "Use confirmed pivots", then unconfirmed pivot will be ignored in the table and in the chart
▶ Oscillator parameters : Lets you select different oscillators and settings. Available oscillators involve
CCI - Commodity Channel Index
CMO - Chande Momentum Oscillator
COG - Center Of Gravity
DMI - Directional Movement Index (Only ADX is used here)
MACD - Moving average convergence divergence (Can chose either histogram or MACD line)
MFI - Money Flow Index
MOM - Momentum oscillator
ROC - Rate Of Change
RSI - Relative Strength Index
TSI - Total Strength Index
WPR - William Percent R
BB - Bollinger Percent B
KC - Keltner Channel Percent K
DC - Donchian Channel Percent D
ADC - Adoptive Donchian Channel Percent D ( Adoptive-Donchian-Channel )
▶ Trend bias : Supertrend is used for trend bias. Coloring option color candles in the direction of supertrend. More option for trend bias can be added in future.
▶ Stats : Enables you to display history in tabular format.
Overview of settings present here:
⬜ Notes
Trend detection is done only with respect to previous pivot in the same direction. Hence, if chart has too many zigzags in short period, try increasing the zigzag length or chart timeframe. Similarly, if there is a steep trend, use lower timeframe charts to dig further.
Oscillators does not always make pivots at same bar as price. Due to this some the divergence calculation may not be correct. Hence visual inspection is always recommended.
⬜ Possible future enhancements
More options for trend bias
Enhance divergence calculation. Possible options include using oscillator based zigzag as primary or using close prices based zigzag instead of high/low.
Multi level zigzag option - Can be messy to include more than one zigzag. Option can be added to chose either Level1 or Level2 zigzags.
Alerts - Alerts can only be added for confirmed pivots - otherwise it will generate too many unwanted alerts. Will think about it :)
If I get time, I will try to make a video.
AshishBediSPLThis Pine Script indicator, "AshishBediSPL," is designed to help you visualize and analyze the combined premium of a short straddle strategy using Call and Put options. It fetches real-time and historical data for your chosen index or stock (NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, SENSEX, BANKEX, or RELIANCE) and a specified expiry date and strike price.
You can opt to view the combined premium of both Call and Put options, or analyze just the Call or Put premium individually. The indicator then allows you to overlay and generate trading signals based on a selection of popular technical indicators, including:
EMA Crossover: Identify trend changes with configurable fast and slow Exponential Moving Averages.
Supertrend: Determine the prevailing trend direction and potential reversal points.
VWAP (Volume Weighted Average Price): Track the average price traded based on volume, resetting daily.
RSI (Relative Strength Index): Gauge momentum and potential overbought/oversold conditions (note: RSI buy/sell logic is set to trigger on overbought/oversold levels, which can be interpreted for contrarian or trend-following strategies depending on your approach).
SMA (Simple Moving Average): Smooth price data to identify support and resistance.
The indicator plots the combined premium as a dynamic line, changing color based on its opening and closing values. Buy and Sell signals are clearly marked on the chart, and you can set up alerts to notify you of these trading opportunities.
This tool is ideal for traders looking to monitor straddle premiums and integrate multiple indicator-based signals into their analysis.
Machine Learning Price Target Prediction Signals [AlgoAlpha]Introducing the Machine Learning Price Target Predictions, a cutting-edge trading tool that leverages kernel regression to provide accurate price targets and enhance your trading strategy. This indicator combines trend-based signals with advanced machine learning techniques, offering predictive insights into potential price movements. Perfect for traders looking to make data-driven decisions with confidence.
What is Kernel Regression and How It Works
Kernel regression is a non-parametric machine learning technique that estimates the relationship between variables by weighting data points based on their similarity to a given input. The similarity is determined using a kernel function, such as the Gaussian (RBF) kernel, which assigns higher weights to closer data points and progressively lower weights to farther ones. This allows the model to make smooth and adaptive predictions, balancing recent data and historical trends.
Key Features
🎯 Predictive Price Targets : Uses kernel regression to estimate the magnitude of price movements.
📈 Dynamic Trend Analysis : Multiple trend detection methods, including EMA crossovers, Hull Moving Average, and SuperTrend.
🔧 Customizable Settings : Adjust bandwidth for kernel regression and tweak trend indicator parameters to suit your strategy.
📊 Visual Trade Levels : Displays take-profit and stop-loss levels directly on the chart with customizable colors.
📋 Performance Metrics : Real-time win rate, recommended risk-reward ratio, and training data size displayed in an on-chart table.
🔔 Alerts : Get notified for new trends, take-profit hits, and stop-loss triggers.
How to Use
🛠 Add the Indicator : Add it to your favorites and apply it to your chart. Configure the trend detection method (SuperTrend, HMA, or EMA crossover) and other parameters based on your preferences.
📊 Analyze Predictions : Observe the predicted move size, recommended risk-reward ratio, and trend direction. Use the displayed levels for trade planning.
🔔 Set Alerts : Enable alerts for trend signals, take-profit hits, or stop-loss triggers to stay informed without constant monitoring.
How It Works
The indicator calculates features such as price volatility, relative strength, and trend signals, which are stored during training periods. When a trend change is detected, the kernel regression model predicts the likely price move based on these features. Predictions are smoothed using the specified bandwidth to avoid overfitting while ensuring timely responses to feature changes. Visualized take-profit and stop-loss levels help traders optimize risk management. Real-time metrics like win rate and recommended risk-reward ratios provide actionable insights for decision-making.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
Portfolio Management [TrendX_]Portfolio Management is a powerful tool that helps you create and manage your own portfolio of stocks, based on your risk and return preferences.
*** Note: You should select the appropriate index for each stock as the benchmark to compare your portfolio’s performance.
*** Note: You should apply the indicator to the same chart as the benchmark, so that it can capture the historical trends of all the 10 stocks in your portfolio.
USAGE
Analyze your portfolio’s return factor, which shows the compound annual growth rate (CAGR) of each stock and the portfolio as a whole, as well as the weight of each stock in the portfolio.
The Weighting approach contains 2 options, Equal and Growth-based method:
Customize your portfolio by selecting up to 10 stocks from a wide range of markets and sectors:
Compare your portfolio’s performance with a benchmark of your choice, which is the S&P500 by default setting.
Evaluate your portfolio’s risk factor, which includes the capital asset pricing model (CAPM), the portfolio beta, and the Sharpe ratio of both the portfolio and the benchmark:
- CAPM is a model that calculates the expected return of the portfolio based on its risk and the risk-free rate of return.
- Portfolio beta is a measure of how sensitive the portfolio is to the movements of the benchmark. A beta of 1 means the portfolio moves in sync with the benchmark, a beta of less than 1 means the portfolio is less volatile than the benchmark, and a beta of more than 1 means the portfolio is more volatile than the benchmark.
- Sharpe ratio measures how much excess return the portfolio generates per unit of risk. It is calculated by subtracting the risk-free rate of return from the portfolio’s return, and dividing by the portfolio’s standard deviation. A higher Sharpe ratio means the portfolio has a better risk-adjusted return. A Sharpe ratio of more than 1 is considered good, a Sharpe ratio of more than 2 is considered very good, and a Sharpe ratio of more than 3 is considered excellent .
Adjust your portfolio’s rebalancing strategy, which determines when and how to change the weight of each stock in the portfolio to optimize your return and risk objectives. The tool also suggests a default hedging-stock asset, which is the US dollar interpreted through the dollar index (DXY):
- The dollar index is a measure of the value of the US dollar relative to a basket of other major currencies. It is often used as a proxy for the global economic sentiment and the demand for safe-haven assets. A rising dollar index means the US dollar is strengthening, which may indicate a bearish outlook for the stock market. A falling dollar index means the US dollar is weakening, which may indicate a bullish outlook for the stock market.
- The rebalancing strategy suggest increasing the weight of the hedging-stock asset when the dollar index is under positive supertrend condition, and decreasing the weight of the hedging-stock asset when the dollar index is in the downward supertrend. This way, you can hedge against the adverse effects of the stock market fluctuations on your portfolio, simply you can just cash out at the suggested hedging weight.
CONCLUSION
Investors can gain a deeper insight into their portfolio’s performance, risk, and potential, and make informed decisions to achieve their financial goals with confidence and ease.
DISCLAIMER
The results achieved in the past are not all reliable sources of what will happen in the future. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, you should always exercise caution and judgment when making decisions based on past performance.
Multi IND Dashboard [Skiploss]Multi IND Dashboard is dashboard combine with price change, RSI, ATR, Alligator and Supertrend. With a maximum of 10 timeframes, I think it's going to make your life easier. In looking at the momentum of each chart.
How it work??
Change :
It is the distance from the close price of previous candlestick and shows the movement value of the candlestick in that timeframe.
RSI :
Default setting are 14 and source close
Value >= 75 : Fill text color maximum overbought
Value >= 65 : Fill text color medium overbought
Value >= 55 : Fill text color minimum overbought
Value >= 45 : Fill text color minimum overbought
Value >= 35 : Fill text color medium overbought
Value >= 25 : Fill text color maximum overbought
ATR :
Default setting are 14 length and RMA smoothing, It like the average swing of the candlesticks.
Alligator :
Default setting are 13, 8 and 5
Bullish status is value lips > teeth and teeth > jaw
Bearish status is value lips < teeth and teeth < jaw
Neutral status status is value lips > teeth and teeth < jaw or lips < teeth and teeth > jaw
Supertrend :
Default setting are 8 and 3.0
Bullish status is uptrend
Bearish status is downtrend
WonderTrend IndicatorDetermining trends and reversals are the keys to trading, yet very difficult. Parabolic SAR is hard to trade during choppy price action. SuperTrend is a bit late in determining changes of trend and not great and exit signals.
So WonderTrend is a bit of both, a more stubborn PSAR, also a faster SuperTrend. The green is up, red is down, and yellow is caution helps traders read the chart patterns to enter and exit.
Enjoy!
Momentum Trading Strategy (Weekly Chart)The strategy will open position when there is momentum in the stock
The strategy will ride up your stop loss based on the super trend.
The strategy will close your operation when the market price crossed the stop loss.
The strategy will close operation when the line based on the volatility will crossed
AlignedMA and Cumulative HighLow Strategy V2Based on earlier strategy published - AlignedMA and Cumulative HighLow Strategy. Adjustments are done in entry and exit criteria to make it work for shares.
Modified to preserve existing entry criteria + additional MA shift condition. Exit criteria is set based on supertrend and trailing stops.
Most of the parameters are already optimized. You only need to alter SupertrendMult for individual shares based on individual share volatility. Usually works within 2-4.
There might be bit of repainting. I am unable to understand if there is any. Any suggestions on further improvements welcome :)
Note to moderators : I have used 1000 as initial capital with 100% on each trade. As strategy does not compound - I believe this is reasonable. I have kept this setting as this makes it easier to compare with buy and hold return.
RinganTrend 0.4This is from SuperTrend.
But I changed manything. so now i call it ringanTrend.
now v0.4
buy at green arrow. (end of black line)
sell at red arrow. (end of blue line)
but be carefull. it may take your money.
look at the chart. left side it take trader's money often.(but small)
also i published v0.3 before
so you can use 0.3 and 0.4 at the same time.
you can change 4 value.
v0.3 setting is 4, 13, 8, 5
0.4's default setting is for shooter(maybe)
2, 4, 1, 1
you trade often in 0.4 default setting than v0.3
and i fixed small bug.
I am not sure i will make v0.5
cause ...i guess i cannot make better than this.
SuperTrend is so nice idea already!! especially for alt-coin
you can see difference.
in korean
빨간화살표에서 파세요 (파란선이 끝나는 점)
녹색화살표에서 사세요 (검은선이 끝나는 점)
VARNI-LINE-CHART//@version=5
indicator("VARNI-LINE-CHART",shorttitle = "VARNI-LINE-CHART", overlay=false)
// Input for Index and Expiry Date
spot_ = input.string("BANKNIFTY", title = "Spot Symbol", options = , group = "Index")
tooltip_day = "Enter the day of the expiry. Add 0 in front if the day is a single digit. For example: 05 instead of 5"
tooltip_month = "Enter the month of the expiry. Add 0 in front if the month is a single digit. For example: 06 instead of 6"
tooltip_year = "Enter the year of the expiry. Use the last two digits of the year. For example: 24 instead of 2024"
_day = input.string("13", title = "Expiry Day", tooltip = tooltip_day, group="Expiry Date")
_month = input.string("02", title = "Expiry Month", tooltip = tooltip_month, group="Expiry Date")
_year = input.string("25", title = "Expiry Year", tooltip = tooltip_year, group="Expiry Date")
// Input for Strikes
tooltip_ = "You can select any Strike, and choose to include both strikes or just one"
strike_ce = input.int(23500, "Call Strike", tooltip = tooltip_,step = 50, group = "Select Strike")
strike_pe = input.int(23500, "Put Strike", tooltip = tooltip_,step = 50, group = "Select Strike")
var string spot = na
if spot_ == "SENSEX"
spot := "BSX"
else if spot_ == "BANKEX"
spot := "BKX"
else
spot := spot_
// Option to include both strikes
strike_choice = input.string("Combined", title = "Select Strike", options = , group = "Select Strike")
// Generate symbols for Call and Put options
var string symbol_CE = spot + _year + _month + _day + "C" + str.tostring(strike_ce)
var string symbol_PE = spot + _year + _month + _day + "P" + str.tostring(strike_pe)
// Request security data for both Call and Put options
= request.security(symbol_CE, timeframe.period, )
= request.security(symbol_PE, timeframe.period, )
call_volume = request.security( symbol_CE, timeframe.period , volume )
put_volume = request.security( symbol_PE, timeframe.period , volume )
var float combined_open = 0
var float combined_high = 0
var float combined_low = 0
var float combined_close = 0
var float combined_vol = 0
// Calculate combined premium based on strike choice
if strike_choice == "Combined"
combined_open := call_open + put_open
combined_close := call_close + put_close
combined_high := math.max(combined_open, combined_close)
combined_low := math.min(combined_open, combined_close)
combined_vol := call_volume + put_volume
else if strike_choice == "Only Call"
combined_open := call_open
combined_close := call_close
combined_high := call_high
combined_low := call_low
combined_vol := call_volume
else
combined_open := put_open
combined_close := put_close
combined_high := put_high
combined_low := put_low
combined_vol := put_volume
// Plot combined premium as a line chart
plot(combined_close, title = "Combined Premium", color = combined_close > combined_open ? color.green : color.red, linewidth = 2)
// Indicator selection
use_ema_crossover = input.bool(false, title = "Use EMA Crossover", group = "Indicators")
use_supertrend = input.bool(false, title = "Use Supertrend", group = "Indicators")
use_vwap = input.bool(true, title = "Use VWAP", group = "Indicators")
use_rsi = input.bool(false, title = "Use RSI", group = "Indicators")
use_sma = input.bool(false, title = "Use SMA", group = "Indicators")
pine_supertrend_value(factor, atrPeriod) =>
src = combined_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := combined_close > upperBand ? -1 : 1
else
_direction := combined_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
superTrend
pine_supertrend_dir(factor, atrPeriod) =>
src = combined_close
atr = ta.atr(atrPeriod)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand )
prevUpperBand = nz(upperBand )
lowerBand := lowerBand > prevLowerBand or combined_close < prevLowerBand ? lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or combined_close > prevUpperBand ? upperBand : prevUpperBand
int _direction = na
float superTrend = na
prevSuperTrend = superTrend
if na(atr )
_direction := 1
else if prevSuperTrend == prevUpperBand
_direction := combined_close > upperBand ? -1 : 1
else
_direction := combined_close < lowerBand ? 1 : -1
superTrend := _direction == -1 ? lowerBand : upperBand
_direction
// Input for EMA lengths
fastLength = input.int(7, 'Fast EMA Length', group = "EMA")
slowLength = input.int(12, 'Slow EMA Length', group = "EMA")
// Input for SuperTrend
atrLength = input.int(7, 'ATR Length', group = "SuperTrend")
fac = input.float(2, 'Factor', group = "SuperTrend")
// Input for RSI
rsi_length = input.int(7, 'Length', group="RSI")
rsi_ob_level = input.int(80, 'Overbought', group="RSI")
rsi_os_level = input.int(20, 'Oversold', group="RSI")
// Input for SMA
sma_length = input.int(7, 'SMA Length', group = "SMA")
var float fast_ema = na
var float slow_ema = na
var float supertrend = na
var int direction = na
var float rsi_val = na
var float sma_val = na
var float sumPriceVolume = na
var float sumVolume = na
var float vwap = na
// Fast EMA
if use_ema_crossover
fast_ema := ta.ema(combined_close, fastLength)
slow_ema := ta.ema(combined_close, slowLength)
// Supertrend
if use_supertrend
supertrend := pine_supertrend_value( fac, atrLength)
direction := pine_supertrend_dir( fac, atrLength)
// VWAP
if use_vwap
if (dayofweek != dayofweek )
sumPriceVolume := 0.0
sumVolume := 0.0
vwap := 0.0
sumPriceVolume += combined_close * combined_vol
sumVolume += combined_vol
vwap := sumPriceVolume / sumVolume
// RSI
if use_rsi
rsi_val := ta.rsi(combined_close, rsi_length)
// SMA
if use_sma
sma_val := ta.sma(combined_close, sma_length)
plot(fast_ema, title='Fast EMA', color=color.blue, linewidth=2)
plot(slow_ema, title='Slow EMA', color=color.yellow, linewidth=2)
plot(direction < 0 ? supertrend : na, "Up direction", color = color.green, style=plot.style_linebr)
plot(direction > 0 ? supertrend : na, "Down direction", color = color.red, style=plot.style_linebr)
plot(vwap, title='VWAP', color=color.purple, linewidth=2)
plot(sma_val, title='SMA', color=color.maroon, linewidth=2)
// Define buy and sell conditions based on selected indicators
var bool buy = false
var bool sell = false
var int buyC = 0
var int sellC = 0
if dayofweek != dayofweek
buyC := 0
sellC := 0
if use_ema_crossover
buy := ( ta.crossover(fast_ema, slow_ema) ) and buyC == 0
sell := ( ta.crossunder(fast_ema, slow_ema) ) and sellC == 0
if use_vwap
buy := ( buy ? buy and (combined_close > vwap and combined_close <= vwap ) : (combined_close > vwap and combined_close <= vwap )) and buyC == 0
sell := ( sell ? sell and (combined_close < vwap and combined_close >= vwap ) : (combined_close < vwap and combined_close >= vwap )) and sellC == 0
if use_rsi
buy := ( buy ? buy and ta.crossover(rsi_val, rsi_ob_level) : ta.crossover(rsi_val, rsi_ob_level) ) and buyC == 0
sell := ( sell ? sell and ta.crossunder(rsi_val, rsi_os_level) : ta.crossunder(rsi_val, rsi_os_level) ) and sellC == 0
if use_sma
buy := ( buy ? buy and ta.crossover(combined_close, sma_val) : ta.crossover(combined_close, sma_val) ) and buyC == 0
sell := ( sell ? sell and ta.crossunder(combined_close, sma_val) : ta.crossunder(combined_close, sma_val) ) and sellC == 0
if use_supertrend
buy := ( buy ? direction == -1 : direction == -1 and direction == 1 ) and buyC == 0
sell := ( sell ? direction == 1 : direction == 1 and direction == -1 ) and sellC == 0
if buy
buyC := 1
sellC := 0
if sell
sellC := 1
buyC := 0
// Plot buy and sell signals
plotshape(buy, title = "Buy", text = 'Buy', style = shape.labeldown, location = location.top, color= color.green, textcolor = color.white, size = size.small)
plotshape(sell, title = "Sell", text = 'Sell', style = shape.labelup, location = location.bottom, color= color.red, textcolor = color.white, size = size.small)
// Alert conditions
alertcondition(buy, "Buy Alert", "Buy Signal")
alertcondition(sell, "Sell Alert", "Sell Signal")
Multi indicators tableThis is a comprehensive trading tool that presents an overview of the market in a tabular format. It consists of five distinct categories of trading indicators : Volatility, Trend, Momentum, Reversal, and Volume. Each category includes a series of indicators that are widely used in the trading communauty.
The Volatility category includes the Average True Range (ATR) and Bollinger Bands indicators. The Trend category comprises the Average Directional Index (ADX), four Exponential Moving Averages (EMAs), Aroon, Parabolic SAR, and the Supertrend. The Momentum category includes the Stochastic Relative Strength Index (StochRSI), Money Flow Index (MFI), Williams %R, Relative Strength Index (RSI), and Commodity Channel Index (CCI). The Reversal category includes Parabolic SAR, Moving Average Convergence Divergence (MACD), and PP Supertrend. Finally, the Volume category includes the Volume Exponential Moving Average (EMA) indicator.
The indicators states are easily readable, the indicator case is colored based on his actual state. A bullish color (green by default), a bearish color (red by default),
a very bullish color (dark green by default), a very bearish color (dark red by default) and a neutral color (gray by default) displayed when the indicator doesn't give us a clear signal. Some indicators do not have a very bullish or very bearish state. Concerning volatility indicators, the bullish color indicates high volatility, the bearish color indicates low volatility, and the neutral color indicates normal volatility.
Most of the indicators displayed in the table are customizable, and traders can choose to hide the categories they don't want to use. The Indicator provides a quick and easily readable view on the market and allows traders to reduce the number of indicators on their chart making it lighter and more readable.
Distance Oscillator - Support and Resistance by DGT
Prices high above the Moving Average (MA) or low below it are likely to be remedied in the future by a reverse price movement as stated in the article by Denis Alajbeg, Zoran Bubas and Dina Vasic published in International Journal of Economics, Commerce and Management
This study is the third variant that aims to present this idea, and the output of the study is presented as lines that serve as possible support and resistance levels in the future.
1st variant of the idea is presented as an centered oscillator, link to Price Distance to its MA Study , within its description you may find more about the idea and some statistical observations. Also some derivatives with MACD-X, More Than MACD and P-MACD
2nd variant of the idea are presented as colored triangle line (Volatility Colored Price/MA Line), using the same calculation methods and presented in the bottom of price chart.
Link to studies where it is included : Colored Directional Movement and Bollinger Band's Cloud , SuperTrendRange and Pivot Points vX
3rd variant (this study) as stated earlier aims to present the same idea as support and resistance levels.
Options
The users can adjust source and length of the moving average that is used as base for the distance oscillator
Signal triggering options includes length for the deviation bands, multiplier as well as smoothing of the oscillator
Line customization settings
Additionally an alert can be configured to be warned earlier to watch out for probable pullbacks or reversals
Technical details for whom interested
Calculating the price distance to the MA results in a centered oscillator lets call it Distance Oscillator (quite similar to the RSI), as shown in the blow chart
Unlike RSI, oscillations with the distance oscillator are not limited within a specific range, hence identifying overbought and oversold is not as straight forward as it is with RSI. To determine overbought and oversold levels, standard deviation of distance oscillator is calculated and bands generated with the same approach applied with Bollinger Bands.
Once we have the threshold bands then crossing those bands we may assume as important levels and draw a line, if oscillator values keeps above the threshold bands (deviation bands) the logic behind the code will update the line drawing accordingly.
To reduce noise a smoothing can be applied
Alerts :
Please note that the implementation applied here can be applied to any oscillator such as RSI, Stochastic, MFI etc even Volume (if bear candle volumes are multiplied by -1)
Disclaimer :
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
QuantumTrend SwiftEdgeQuantumTrend SwiftEdge - A Trend-Following Indicator for TradingView
Overview:
QuantumTrend SwiftEdge is a visually engaging and customizable trend-following indicator that combines the power of Supertrend, Keltner Channels, and a 100-period EMA to generate precise buy and sell signals. Designed to help traders identify trends and breakouts, this indicator offers a unique blend of technical tools with a modern gradient color effect, making it both functional and visually appealing.
What It Does:
This indicator identifies trend directions and potential entry/exit points:
- Supertrend determines the overall trend direction, showing a green line below the price during uptrends and a red line above the price during downtrends. The line only appears when the price is close to it, indicating an active trend.
- Keltner Channels highlight volatility and breakouts, with the upper and lower bands dynamically adjusting to market conditions.
- A 100-period EMA provides a longer-term trend perspective, helping to filter out noise.
- Buy and sell signals are generated when specific conditions align across these indicators, ensuring robust trade setups.
How It Works:
The indicator uses three components to generate signals:
1. **Supertrend**: Calculates trend direction using the Average True Range (ATR) and a multiplier. It switches between uptrend (green) and downtrend (red) based on price movements relative to the Supertrend line.
2. **Keltner Channels**: Consists of an EMA (default 20 periods) with upper and lower bands based on ATR. A breakout above the upper band signals potential buying opportunities, while a breakout below the lower band signals potential selling opportunities.
3. **100-period EMA**: Acts as a trend filter, ensuring signals align with the broader market direction.
**Buy Signal**:
- Price is above the 100-period EMA (bullish market).
- Price breaks above the Keltner Channel upper band (indicating a breakout).
- Supertrend switches to an uptrend (trend changes from down to up).
**Sell Signal**:
- Price is below the 100-period EMA (bearish market).
- Price breaks below the Keltner Channel lower band (indicating a breakout).
- Supertrend switches to a downtrend (trend changes from up to down).
Visual Features:
- **Gradient Colors**: Supertrend lines and Keltner Channels use a smooth gradient color transition between green (uptrend) and red (downtrend), reflecting the trend's strength. The gradient is based on a smoothed trend value, creating a visually appealing effect.
- **Keltner Channel Fill**: The area between the upper and lower Keltner Channels is filled with a transparent gradient, enhancing the trend visualization.
- **Dynamic Supertrend Visibility**: Supertrend lines only appear when the price is close to the line (within an ATR-based threshold), indicating an active trend.
How to Use:
1. Add the "QuantumTrend SwiftEdge" indicator to your chart in TradingView.
2. Customize the settings:
- **Signal Sensitivity (1=Low, 5=High)**: Default is 3. Lower values (e.g., 1) make signals less frequent by using wider parameters, while higher values (e.g., 5) make signals more frequent by tightening parameters.
- **Use Manual Settings**: If enabled, you can manually adjust all parameters (ATR Period, ATR Multiplier, Keltner Channel Length, Keltner Channel Multiplier, Keltner ATR Length, EMA Length) to fine-tune the indicator.
- **Change ATR Calculation Method**: Toggle between standard ATR calculation and a simple moving average of true range.
- **Show Buy/Sell Signals**: Toggle to show or hide buy (green "Buy" label) and sell (red "Sell" label) signals.
- **Highlighter On/Off**: Toggle to show or hide the gradient fill between the price and Supertrend line when the line is visible.
3. Interpret the signals:
- A green "Buy" label below the price indicates a potential buying opportunity.
- A red "Sell" label above the price indicates a potential selling opportunity.
- Use the Keltner Channel gradient fill and Supertrend lines to confirm the trend direction and strength.
Why This Combination?
- **Supertrend** provides a robust trend-following mechanism, ensuring signals align with the market direction.
- **Keltner Channels** add a volatility component, identifying breakouts that often precede significant price movements.
- **100-period EMA** filters out noise, ensuring signals are generated in the context of the broader trend.
Together, these indicators create a balanced approach: Supertrend and EMA confirm the trend, while Keltner Channels pinpoint actionable entry and exit points. The gradient visuals and dynamic visibility make it easier to focus on active trends.
Originality:
QuantumTrend SwiftEdge stands out with its unique features:
- Gradient color transitions for a modern, dynamic look.
- A filled gradient between Keltner Channels, visually emphasizing the trend.
- Supertrend lines that only appear when the price is close, reducing clutter and focusing on active trends.
- Flexible settings with both sensitivity-based and manual adjustments for maximum customization.
Default Settings:
The default sensitivity is set to 3, providing a balanced approach for most markets and timeframes (e.g., 5-minute charts for crypto like BTC/USD). This setting uses moderate parameters (ATR Period=10, ATR Multiplier=3.0, Keltner Channel Length=20, Keltner Channel Multiplier=1.5, Keltner ATR Length=10, EMA Length=100). Users can adjust the sensitivity or switch to manual settings for more control.
Important Notes:
- This indicator is a tool to assist in identifying trends and potential entry/exit points. It does not guarantee profits and should be used in conjunction with other analysis and risk management practices.
- The signals are based on historical price data and do not predict future performance. Always test the indicator on a demo account before using it in live trading.
- The gradient effect is purely visual and does not affect the signal logic.
Quantile DEMA Trend | QuantEdgeB🚀 Introducing Quantile DEMA Trend (QDT) by QuantEdgeB
🛠️ Overview
Quantile DEMA Trend (QDT) is an advanced trend-following and momentum detection indicator designed to capture price trends with superior accuracy. Combining DEMA (Double Exponential Moving Average) with SuperTrend and Quantile Filtering, QDT identifies strong trends while maintaining the ability to adapt to various market conditions.
Unlike traditional trend indicators, QDT uses percentile filtering to adjust for volatility and provides dynamic thresholds, ensuring consistent signal performance across different assets and timeframes.
✨ Key Features
🔹 Trend Following with Adaptive Sensitivity
The DEMA component ensures quicker responses to price changes while reducing lag, offering a real-time reflection of market momentum.
🔹 Volatility-Adjusted Filtering
The SuperTrend logic incorporates quantile percentile filters and ATR (Average True Range) multipliers, allowing QDT to adapt to fluctuating market volatility.
🔹 Clear Signal Generation
QDT generates clear Long and Short signals using percentile thresholds, effectively identifying trend changes and market reversals.
🔹 Customizable Visual & Signal Settings
With multiple color modes and customizable settings, you can easily align the QDT indicator with your trading strategy, whether you're focused on trend-following or volatility adjustments.
📊 How It Works
1️⃣ DEMA Calculation
DEMA is used to reduce lag compared to traditional moving averages. It is calculated by applying a Double Exponential Moving Average to price data. This smoother trend-following mechanism ensures responsiveness to market movements without introducing excessive noise.
2️⃣ SuperTrend with Percentile Filtering
The SuperTrend component adapts the trend-following signal by incorporating quantile percentile filters. It identifies dynamic support and resistance levels based on historical price data:
• Upper Band: Calculated using the 75th percentile + ATR (adjusted with multiplier)
• Lower Band: Calculated using the 25th percentile - ATR (adjusted with multiplier)
These dynamic bands adjust to market conditions, filtering out noise while identifying the true direction.
3️⃣ Signal Generation
• Long Signal: Triggered when price crosses below the SuperTrend Lower Band
• Short Signal: Triggered when price crosses above the SuperTrend Upper Band
The indicator provides signals with corresponding trend direction based on these crossovers.
👁 Visual & Custom Features
• 🎨 Multiple Color Modes: Choose from "Strategy", "Solar", "Warm", "Cool", "Classic", and "Magic" color palettes to match your charting style.
• 🏷️ Long/Short Signal Labels: Optional labels for visual cueing when a long or short trend is triggered.
• 📉 Bar Color Customization: Bar colors dynamically adjust based on trend direction to visually distinguish the market bias.
👥 Who Should Use QDT?
✅ Trend Followers: Use QDT as a dynamic tool to confirm trends and capture profits in trending markets.
✅ Swing Traders: Use QDT to time entries based on confirmed breakouts or breakdowns.
✅ Volatility Traders: Identify market exhaustion or expansion points, especially during volatile periods.
✅ Systematic & Quant Traders: Integrate QDT into algorithmic strategies to enhance market detection with adaptive filtering.
⚙️ Customization & Default Settings
- DEMA Length(30): Controls the lookback period for DEMA calculation
- Percentile Length(10): Sets the lookback period for percentile filtering
- ATR Length(14): Defines the length for calculating ATR (used in SuperTrend)
- ATR Multiplier(1.2 ): Multiplier for ATR in SuperTrend calculation
- SuperTrend Length(30):Defines the length for SuperTrend calculations
📌 How to Use QDT in Trading
1️⃣ Trend-Following Strategy
✔ Enter Long positions when QDT signals a bullish breakout (price crosses below the SuperTrend lower band).
✔ Enter Short positions when QDT signals a bearish breakdown (price crosses above the SuperTrend upper band).
✔ Hold positions as long as QDT continues to provide the same direction.
2️⃣ Reversal Strategy
✔ Take profits when price reaches extreme levels (upper or lower percentile zones) that may indicate trend exhaustion or reversion.
3️⃣ Volatility-Driven Entries
✔ Use the percentile filtering to enter positions based on mean-reversion logic or breakout setups in volatile markets.
🧠 Why It Works
QDT combines the DEMA’s quick response to price changes with SuperTrend's volatility-adjusted thresholds, ensuring a responsive and adaptive indicator. The use of percentile filters and ATR multipliers helps adjust to varying market conditions, making QDT suitable for both trending and range-bound environments.
🔹 Conclusion
The Quantile DEMA Trend (QDT) by QuantEdgeB is a powerful, adaptive trend-following and momentum detection system. By integrating DEMA, SuperTrend, and quantile percentile filtering, it provides accurate and timely signals while adjusting to market volatility. Whether you are a trend follower or volatility trader, QDT offers a robust solution to identify high-probability entry and exit points.
🔹 Key Takeaways:
1️⃣ Trend Confirmation – Uses DEMA and SuperTrend for dynamic trend detection
2️⃣ Volatility Filtering – Adjusts to varying market conditions using percentile logic
3️⃣ Clear Signal Generation – Easy-to-read signals and visual cues for strategy implementation
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Bewakoof stock indicator**Title**: "Bewakoof Stock Indicator: Multi-Timeframe RSI and SuperTrend Entry-Exit System"
---
### Description
The **Bewakoof Stock Indicator** is an original trading tool that combines multi-timeframe RSI analysis with the SuperTrend indicator to create reliable entry and exit signals for trending markets. This indicator is designed for traders looking to follow strong trends with built-in risk management. By filtering entries through short- and long-term momentum and utilizing dynamic trailing exits, this indicator provides a structured approach to trading.
#### Indicator Components
1. **Multi-Timeframe RSI Analysis**:
- The Relative Strength Index (RSI) is calculated across three timeframes: Daily, Weekly, and Monthly.
- By examining multiple timeframes, the indicator confirms that trends align over short, medium, and long-term intervals, making buy signals more reliable.
- **Buy Condition**: All three RSI values must meet these thresholds:
- **Daily RSI > 50** – indicates short-term upward momentum,
- **Weekly RSI > 60** – signals medium-term strength,
- **Monthly RSI > 60** – confirms long-term trend alignment.
- This filtering process ensures that buy signals are generated only in stable, upward-trending markets.
2. **SuperTrend Confirmation**:
- The SuperTrend (20-period ATR with a multiplier of 2) acts as a trend filter and trailing stop mechanism.
- For a buy condition to be valid, the closing price must be above the SuperTrend level, verifying that the market is trending up.
- The combination of RSI and SuperTrend helps to avoid false signals, focusing only on well-established trends.
#### Trade Signals
- **Buy Signal**: When both the multi-timeframe RSI and SuperTrend conditions are met, a buy signal is triggered, indicated by a “BUY” label on the chart with details:
- **Entry Price**,
- **Initial Stop-Loss** (set at the SuperTrend level for risk control),
- **Target 1** – calculated with a 1:1 risk-reward ratio based on the initial stop-loss,
- **Target 2** – calculated with a 1:2 risk-reward ratio based on the initial stop-loss.
- **Exit Signals**: This indicator provides two exit strategies to protect profits:
1. **Fixed Stop-Loss**: Automatically set at the SuperTrend level at the time of entry to limit risk.
2. **Trailing Exit**: Exits are triggered if the price crosses below the SuperTrend level, adapting to potential trend reversals.
#### Labeling & Alerts
The **Bewakoof Stock Indicator** offers intuitive labeling and alert options:
- **Labels**: Buy and exit points are clearly marked, showing entry, stop-loss, and targets directly on the chart.
- **Alerts**: Custom alerts can be set for:
- **Buy signals** when both conditions are met, and
- **Exit signals** triggered by the stop-loss or trailing exit.
#### Use Case and Benefits
This indicator is ideal for trend-following traders who value risk control and trend confirmation:
- **Stronger Trend Signals**: By requiring RSI alignment across multiple timeframes, this indicator focuses only on trades with strong trend momentum.
- **Dynamic Risk Management**: Using both fixed and trailing exits enables flexible trade management, balancing risk and potential reward.
- **Simple Trade Execution**: The chart labels and alerts simplify trade decisions, making it easy to enter, manage, and exit trades.
#### How to Use
1. **Add** the Bewakoof Stock Indicator to your chart.
2. **Watch** for the "BUY" label as your entry point.
3. **Manage the trade** using the labeled stop-loss and target levels.
4. **Exit** on either a stop-loss hit or when the price crosses below the SuperTrend for a trailing exit.
The **Bewakoof Stock Indicator** is a complete solution for trend-following traders, combining the strength of multi-timeframe RSI with the SuperTrend’s trend-following capabilities. This systematic approach aims to provide high-confidence entries and effective risk management, empowering traders to follow trends with precision and control.
ema cross by himanshu and sunilCombined EMA & SuperTrend Indicator
The "Combined EMA & SuperTrend Indicator" is a powerful technical analysis tool designed to assist traders in identifying trends and potential entry/exit points in the markets. This indicator combines two popular indicators: Exponential Moving Averages (EMAs) and the SuperTrend indicator, providing a comprehensive view of market conditions.
Key Features:
EMA Visualization: The indicator plots both short-term and long-term Exponential Moving Averages (EMAs) on the chart. The EMAs help traders identify the underlying trend and potential reversals.
SuperTrend Indicator: The SuperTrend indicator is used to identify trends and potential stop-loss levels. The indicator adapts to changing market conditions by factoring in the Average True Range (ATR) and a user-defined factor.
Alerts: The indicator generates alerts for specific conditions, such as crossovers of the EMAs and SuperTrend direction changes. This helps traders stay informed about potential trading opportunities.
How to Use:
EMA Crossovers: Pay attention to the crossovers of the short-term and long-term EMAs. When the short-term EMA crosses above the long-term EMA, it may indicate a potential bullish trend. Conversely, when the short-term EMA crosses below the long-term EMA, it may suggest a bearish trend.
SuperTrend Direction: Watch the color of the SuperTrend line. A green line indicates an uptrend, while a red line suggests a downtrend. This can help you confirm the overall trend direction.
Alerts: Take advantage of the built-in alerts to receive notifications when significant events occur, such as EMA crossovers or SuperTrend direction changes. This can help you stay informed even when you're not actively monitoring the chart.
Usage:
Apply the "Combined EMA & SuperTrend Indicator" to any chart on TradingView to visualize the EMAs and SuperTrend lines.
Configure the EMA periods, ATR length, and SuperTrend factor according to your trading style and preferences.
Utilize the generated alerts to promptly react to potential trading opportunities.
Note: This indicator is intended for educational and informational purposes. Always perform thorough analysis and consider risk management practices before making trading decisions.
Disclaimer: This indicator does not guarantee profitable trades. Past performance is not indicative of future results. Trading involves risk, and you should only trade with funds you can afford to lose.
Super Secret 200 EMAThe indicator is called "Super Secret 200 EMA." It combines two technical indicators, the Supertrend and the 200 Exponential Moving Average (EMA), to generate buy and sell opportunities in a trading chart.
Here's how the indicator works and how you can use it:
Supertrend Calculation:
The Supertrend indicator helps identify the current trend in the market. It uses two parameters: Length and Multiplier.
Length: This parameter determines the number of periods used for the calculation.
Multiplier: It controls the width of the Supertrend line, indicating the level of volatility considered in the calculation.
The Supertrend is calculated by looping through the historical data from length to 1.
For each period, it checks whether the closing price has increased or decreased compared to the previous period.
If the closing price has increased, it updates the highestHigh value with the maximum of the current highest high and the high of the current period.
If the closing price has decreased, it updates the lowestLow value with the minimum of the current lowest low and the low of the current period.
Finally, it calculates the Supertrend value using the following formula:
If the change in the closing price is positive: Supertrend = lowestLow + (multiplier * Average True Range (ATR))
If the change in the closing price is negative: Supertrend = highestHigh - (multiplier * ATR)
The Supertrend line will be green if it is above the 200 EMA line and red if it is below.
200 EMA Calculation:
The 200 EMA is a widely used moving average indicator that gives more weight to recent prices.
The EMA period is set to 200 in this case.
The 200 EMA is calculated using the EMA formula, taking into account the closing prices over the specified period.
Plotting:
The Supertrend and 200 EMA lines are plotted on the chart using the plot function.
The Supertrend line is colored green if it is above the 200 EMA line and red if it is below.
The 200 EMA line is colored green if the closing price is above it and red if it is below.
Buy and Sell Conditions:
The indicator determines the buy and sell conditions based on the crossover and crossunder of the closing price with the 200 EMA line and the Supertrend line.
Buy Condition: A buy signal is generated when the closing price crosses above the 200 EMA line and is also above the Supertrend line.
Sell Condition: A sell signal is generated when the closing price crosses below the 200 EMA line and is also below the Supertrend line.
Plotting Buy and Sell Signals:
You can use this indicator to identify potential buy and sell opportunities in your trading strategy. However, please note that this is a simplified explanation, and it's essential to thoroughly understand the indicator's principles and backtest it with historical data before relying on it for actual trading decisions.
Use this with other confluences for best results and never rely on a single indicator
Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB
🛠️ Overview
Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions.
By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision.
✨ Key Features
🔹 Percentile-Based Median Filtering
Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action.
🔹 Linear Regression Smoothing
A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag.
🔹 SuperTrend Structure with Adaptive Bands
The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength.
🔹 Dynamic Long/Short Conditions
Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart.
🔹 Multiple Visual Themes
Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout.
📊 How It Works
1️⃣ Percentile Filtering
The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes.
2️⃣ Linear Regression Trend Base
A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction.
3️⃣ SuperTrend Engine
ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips.
4️⃣ Trend Signal Logic
• When price stays above the dynamic lower band → Bullish trend
• When price breaks below the upper band → Bearish trend
• Trend direction remains stable until violated by price.
⚙️ Custom Settings
• Percentile Length → Lookback for percentile smoothing (default: 35)
• LSMA Length → Determines the base trend via linear regression (default: 24)
• ATR Length → ATR period used in dynamic bands (default: 14)
• Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8)
• Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9)
✅ How to Use
1️⃣ Trend-Following Strategy
✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend
✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions
✔️ Remain in trend direction until the SuperTrend flips
2️⃣ Visual Confirmation
✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction
✔️ Optional Long/Short labels highlight key signal flips
👥 Who Should Use Linear % ST?
✅ Swing & Position Traders → To ride trends confidently
✅ Trend Followers → As a primary directional filter
✅ Breakout Traders → For clean signal generation post-range break
✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups
📌 Conclusion
Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection.
🔹 Key Takeaways:
1️⃣ Percentile + Regression = Noise-Reduced Core Trend
2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation
3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy
📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum.
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
