SuperTrend with Chebyshev FilterModified Super Trend with Chebyshev Filter
The Modified Super Trend is an innovative take on the classic Super Trend indicator. This advanced version incorporates a Chebyshev filter, which significantly enhances its capabilities by reducing false signals and improving overall signal quality. In this post, we'll dive deep into the Modified Super Trend, exploring its history, the benefits of the Chebyshev filter, and how it effectively addresses the challenges associated with smoothing, delay, and noise.
History of the Super Trend
The Super Trend indicator, developed by Olivier Seban, has been a popular tool among traders since its inception. It helps traders identify market trends and potential entry and exit points. The Super Trend uses average true range (ATR) and a multiplier to create a volatility-based trailing stop, providing traders with a dynamic tool that adapts to changing market conditions. However, the original Super Trend has its limitations, such as the tendency to produce false signals during periods of low volatility or sideways trading.
The Chebyshev Filter
The Chebyshev filter is a powerful mathematical tool that makes an excellent addition to the Super Trend indicator. It effectively addresses the issues of smoothing, delay, and noise associated with traditional moving averages. Chebyshev filters are named after Pafnuty Chebyshev, a renowned Russian mathematician who made significant contributions to the field of approximation theory.
The Chebyshev filter is capable of producing smoother, more responsive moving averages without introducing additional lag. This is possible because the filter minimizes the worst-case error between the ideal and the actual frequency response. There are two types of Chebyshev filters: Type I and Type II. Type I Chebyshev filters are designed to have an equiripple response in the passband, while Type II Chebyshev filters have an equiripple response in the stopband. The Modified Super Trend allows users to choose between these two types based on their preferences.
Overcoming the Challenges
The Modified Super Trend addresses several challenges associated with the original Super Trend:
Smoothing: The Chebyshev filter produces a smoother moving average without introducing additional lag. This feature is particularly beneficial during periods of low volatility or sideways trading, as it reduces the number of false signals.
Delay: The Chebyshev filter helps minimize the delay between price action and the generated signal, allowing traders to make timely decisions based on more accurate information.
Noise Reduction: The Chebyshev filter's ability to minimize the worst-case error between the ideal and actual frequency response reduces the impact of noise on the generated signals. This feature is especially useful when using the true range as an offset for the price, as it helps generate more reliable signals within a reasonable time frame.
The Great Replacement
The Modified Super Trend with Chebyshev filter is an excellent replacement for the original Super Trend indicator. It offers significant improvements in terms of signal quality, responsiveness, and accuracy. By incorporating the Chebyshev filter, the Modified Super Trend effectively reduces the number of false signals during low volatility or sideways trading, making it a more reliable tool for identifying market trends and potential entry and exit points.
In-Depth Guide to the Modified Super Trend Settings
The Modified Super Trend with Chebyshev filter offers a wide range of settings that allow traders to fine-tune the indicator to suit their specific trading styles and objectives. In this section, we will discuss each setting in detail, explaining its purpose and how to use it effectively.
Source
The source setting determines the price data used for calculations. The default setting is hl2, which calculates the average of the high and low prices. You can choose other price data sources such as close, open, or ohlc4 (average of open, high, low, and close prices) based on your preference.
Up Color and Down Color
These settings control the color of the trend line when the market is in an uptrend (up_color) and a downtrend (down_color). You can customize these colors to your liking, making it easier to visually identify the current market trend.
Text Color
This setting controls the color of the text displayed on the chart when using labels to indicate trend changes. You can choose any color that contrasts well with your chart background for better readability.
Mean Length
The mean_length setting determines the length (number of bars) used for the Chebyshev moving average calculation. A shorter length will make the moving average more responsive to price changes, while a longer length will produce a smoother moving average. It is crucial to find the right balance between responsiveness and smoothness, as a too-short length may generate false signals, while a too-long length might produce lagging signals. The default value is 64, but you can experiment with different values to find the optimal setting for your trading strategy.
Mean Ripple
The mean_ripple setting influences the Chebyshev filter's ripple effect in the passband (Type I) or stopband (Type II). The ripple effect represents small oscillations in the frequency response, which can impact the moving average's smoothness. The default value is 0.01, but you can experiment with different values to find the best balance between smoothness and responsiveness.
Chebyshev Type: Type I or Type II
The style setting allows you to choose between Type I and Type II Chebyshev filters. Type I filters have an equiripple response in the passband, while Type II filters have an equiripple response in the stopband. Depending on your preference for smoothness and responsiveness, you can choose the type that best fits your trading style.
ATR Style
The atr_style setting determines the method used for calculating the Average True Range (ATR). By default (false), it uses the traditional high-low range. When set to true, it uses the absolute difference between the open and close prices. You can choose the method that works best for your trading strategy and the market you are trading.
ATR Length
The atr_length setting controls the length (number of bars) used for calculating the ATR. Similar to the mean_length, a shorter length will make the ATR more responsive to price changes, while a longer length will produce a smoother ATR. The default value is 64, but you can experiment with different values to find the optimal setting for your trading strategy.
ATR Ripple
The atr_ripple setting, like the mean_ripple, influences the ripple effect of the Chebyshev filter used in the ATR calculation. The default value is 0.05, but you can experiment with different values to find the best balance between smoothness and responsiveness.
Multiplier
The multiplier setting determines the factor by which the ATR is multiplied before being added
Super Trend Logic and Signal Optimization
The Modified Super Trend with Chebyshev filter is designed to minimize false signals and provide a clear indication of market trends. It does so by using a combination of moving averages, Average True Range (ATR), and a multiplier. In this section, we will discuss the Super Trend's logic, its ability to prevent false signals, and the early warning crosses added to the indicator.
Super Trend Logic
The Super Trend's logic is based on a combination of the Chebyshev moving average and ATR. The Chebyshev moving average is a smooth moving average that effectively filters out market noise, while the ATR is a measure of market volatility.
The Super Trend is calculated by adding or subtracting a multiple of the ATR from the Chebyshev moving average. The multiplier is a user-defined value that determines the distance between the trend line and the price action. A larger multiplier results in a wider channel, reducing the likelihood of false signals but potentially missing out on valid trend changes.
Preventing False Signals
The Super Trend is designed to minimize false signals by maintaining its trend direction until a significant change in the market occurs. In a downtrend, the trend line will only decrease in value, and in an uptrend, it will only increase. This helps prevent false signals caused by temporary price fluctuations or market noise.
When the price crosses the trend line, the Super Trend does not immediately change its direction. Instead, it employs a safety logic to ensure that the trend change is genuine. The safety logic checks if the new trend line (calculated using the updated moving average and ATR) is more extreme than the previous one. If it is, the trend line is updated; otherwise, the previous trend line is maintained. This mechanism further reduces the likelihood of false signals by ensuring that the trend line only changes when there is a significant shift in the market.
Early Warning Crosses
To provide traders with additional insight, the Modified Super Trend with Chebyshev filter includes early warning crosses. These crosses are plotted on the chart when the price crosses the trend line without the safety logic. Although these crosses do not necessarily indicate a trend change, they can serve as a valuable heads-up for traders to monitor the market closely and prepare for potential trend reversals.
In conclusion, the Modified Super Trend with Chebyshev filter offers a significant improvement over the original Super Trend indicator. By incorporating the Chebyshev filter, this modified version effectively addresses the challenges of smoothing, delay, and noise reduction while minimizing false signals. The wide range of customizable settings allows traders to tailor the indicator to their specific needs, while the inclusion of early warning crosses provides valuable insight into potential trend reversals.
Ultimately, the Modified Super Trend with Chebyshev filter is an excellent tool for traders looking to enhance their trend identification and decision-making abilities. With its advanced features, this indicator can help traders navigate volatile markets with confidence, making more informed decisions based on accurate, timely information.
Cari dalam skrip untuk "range"
Bar Magnified Volume Profile/Fixed Range [ChartPrime]This indicator draws a volume profile by utilizing data from the lower timeframe to get a more accurate representation of where volume occurred on a bar to bar basis. The indicator creates a price range, and then splits that price range into 100 grids by default. The indicator then drops down to the lower timeframe, approximately 16 times lower than the current timeframe being viewed on the chart, and then parses through all of the lower timeframe bars, and attributes the lower timeframe bar volume to all grids that it is touching. The volume is dispersed proportionally to the grids which it is touching by whatever percent of the candle is inside each grid. For example, if one of the lower timeframe bars is interacting with "2" of the grids in the profile, and 60% of the candle is inside of the top grid, 60% of the volume from said candle will be attributed to the grid.
To make all of this magic happen, this script utilizes a quadratic time complexity algorithm while parsing and attributing the volume to all of the grids. Due to this type of algorithm being used in the script, many of the user inputs have been limited to allow for simplicity, but also to prevent possible errors when executing loops. For the most part, all of the settings have been thoroughly tested and configured with the right amount of limitations to prevent these errors, but also still give the user a broad range of flexibility to adjust the script to their liking.
📗 SETTINGS
Lookback Period: The lookback period determines how many bars back the script will search for the "highest high" and the "lowest low" which will then be used to generate the grids in-between
Number Of Levels: This setting determines how many grids there will be within the volume profile/fixed range. This is personal preference, however it is capped at 100 to prevent time complexity issues
Profile Length: This setting allows you to stretch or thin the volume profile. A higher number will stretch it more, vise versa a smaller number will thin it further. This does not change the volume profiles results or values, only its visual appearance.
Profile Offset: This setting allows you to offset the profile to the left or right, in the event the user does not appreciate the positioning of the default location of the profile. A higher number will shift it to the right, vise versa a lower number will shift it to the left. This is personal preference and does not affect the results or values of the profile.
🧰 UTILITY
The volume profile/fixed range can be used in many ways. One of the most popular methods is to identify high volume areas on the chart to be used as trade entries or exits in the event of the price revisiting the high volume areas. Take this picture as an example. The image clearly demonstrates how the 2 highest areas of volume within this magnified volume profile also line up to great areas of support and resistance in the market.
Here are some other useful methods of using the volume profile/fixed range
Identify Key Support and Resistance Levels for Setups
Determine Logical Take Profits and Stop Losses
Calculate Initial R Multiplier
Identify Balanced vs Imbalanced Markets
Determine Strength of Trends
Volume-Weighted Closing Range (TG Fork)Volume-weighted closing range of each bar. Closing range is (high - close) relative to the length of the wick (high - low). A close at the top of the wick would be 100%, middle 50%, bottom 0%. This is then multiplied by volume to weight towards high volume bars.
A moving average is applied to visualize trend in volume-weighted closing range over time.
Options include changing the threshold of bullish closes. The default is 50%, but you can view a close above 40% as a bullish .
How to use:
Columns indicate per-bar closing range, and can be used as either a buying-selling pressure indicator, or as an overreaction detector (eg, bars that are abnormally big can be used to start a fading/contrarian trade next bars). Green means the bar closed in the upper range, red in the lower range.
The cloud is the moving average over several bars (by default using EMA). This tends to represent sentiment over a period of time, and hence trend/momentum. Can be used in any timescale, even on weekly, then this represents the market cycles.
If you like this indicator, please show the original author your appreciation:
30 Second Futures Session Open RangeThis indicator displays 30 second opening ranges from Globex, Europe, and RTH sessions.
From the RTH session range, it also displays infinitely generating Price Targets based on a % of the opening range size.
I am retrieving the 30 second data using the new "request.security_lower_tf()" function.
The importance of these levels is based on the idea that when the market opens, algorithms establish their positions within the first 30 seconds.
These areas can also be seen as potential areas of support and resistance throughout the sessions.
Enjoy!
True Range Adjusted Exponential Moving Average [CC]The True Range Adjusted Exponential Moving Average was created by Vitali Apirine (Stocks and Commodities Jan 2023 pgs 22-27) and this is the latest indicator in his EMA variation series. He has been tweaking the traditional EMA formula using various methods and this indicator of course uses the True Range indicator. The way that this indicator works is that it uses a stochastic of the True Range vs its highest and lowest values over a fixed length to create a multiple which increases as the True Range rises to its highest level and decreases as the True Range falls. This in turn will adjust the Ema to rise or fall depending on the underlying True Range. As with all of my indicators, I have color coded it to turn green when it detects a buy signal or turn red when it detects a sell signal. Darker colors mean it is a very strong signal and let me know if you find any settings that work well overall vs the default settings.
Let me know if you would like me to publish any other scripts that you recommend!
TNTThis script just changes the background of the chart to show Trending(Green) / Range Bound(Red) Regions.
The concept is very simple, al each candle we look at the size of the candle and use a moving average of these candle body size (ABS (close-open)) and compare it agains a double smoothened average, i.e. moving average of this average to find trending or not trending periods.
I find it useful primarily for entry in options, a green background is more favourable for option buying and a red background is more favourable for option selling.
This script tells you nothing about the direction of trade.
ka66: Candle Range IndicatorVisually shows the Body Range (open to close) and Candle Range (high to low).
Semi-transparent overlapping area is the full Candle Range, and fully-opaque smaller area is the Body Range. For aesthetics and visual consistency, Candle Range follows the direction of the Body Range, even though technically it's always positive (high - low).
The different plots for each range type also means the UI will allow deselecting one or the other as needed. For example, some strategies may care only about the Body Range, rather than the entire Candle Range, so the latter can be hidden to reduce noise.
Threshold horizontal lines are plotted, so the trader can modify these high and low levels as needed through the user interface. These need to be configured to match the instrument's price range levels for the timeframe. The defaults are pretty arbitrary for +/- 0.0080 (80 pips in a 4-decimal place forex pair). Where a range reaches or exceeds a threshold, it's visually marked as well with a shape at the Body or Candle peak, to assist with quicker visual potential setup scanning, for example, to anticipate a following reversal or continuation.
Normalised Dynamic RangeNormalised Dynamic Range is an indicator that identifies when an asset is going to trend. It uses the concept of Dynamic Range.
The indicator takes 3 look back periods (Default: 45, 30, 15) and calculates the dynamic range as follows:
Dynamic Range (DR) = Maximum(Close, Look back Period) / Minimum (Close, Look back Period)
This gives the Dynamic Range for a given look back period. Similarly 3 different DRs are calculated for 3 look back periods (Long, Mid and Short). These DRs are averaged to get Average Dynamic Range (ADR)
ADR = (Long DR + Mid DR + Short DR) / 3
Since, the short look back candles are also considered in the Mid and Long look backs, the average is weighted more towards the closer candles.
This ADR, is now normalised over a relative look back period (Default: 10) to generate Normalised Dynamic Range (NDR). The formula for normalising is as follows:
Normalised Dynamic Range (NDR) = ((Current ADR - Minimum(ADR, relative look back) / (Maximum(ADR, relative look back) - Minimum(ADR, relative look back)) * 100
How To Read
When NDR is below 20, the asset is getting into range bound
When NDR is above 20, the asset is trending
Caution
NDR only signals if an asset is trending or not. It does not give the direction of the trend.
Stochastic ChannelsDonchain trend following system with overbought/ oversold areas inspired by stochastic. Multiplier to get non repainting HTF capability. features a smoothed price as well as moving average of the smoothed price, also inspired by the stochastic indicators %K and %D. This and slow stochastics compliment each other nicely.
%D line colored by direction.
Filled color areas represent overbought/oversold.
Shows breakouts as well as giving targets and entries in rangebound markets.
Fear Of Missing Out grid of forex tradingAbstract
This script finds potential safe grids placing limit orders without fear of missing out.
This script computes grids according to power of 1.0025 .
You can reference those price levels for your trading.
Introduction
Grid trading is a popular trading method.
Traders plan several price levels as grids and repeat buying at lower grids and selling at higher grids.
Grids can be round number like multiple of 100 pips.
Grids can also be support and resistance according to price history.
Some traders may think they need to adjust grids to trade.
However, there are several problems in choosing grids.
One problem is rate of change is related and therefore exponential. 20 to 30 is different from 30 to 40.
Another interesting point is there are some special impressing reversal price levels.
Several months ago, I had a question why usdjpy bounced near 108.3 .
After using a calculator, I found that 108.3 = 100 * 1.083 ≒ 100 * pow(1.0025,31) .
1.0025 , as known as 0.25% of change, is a potential stop out zone.
Therefore, we can compute grids and one grid is a little more than 1.0025 times than an another one.
After we finished computing grids, we can consider buy and sell near those grids.
Note that different traders may obtain different grid values.
For example, from 1.0 to 2.0 , it can be splited as 270 grids or 277 grids because pow(1.0025,277)<2 .
Those grids cannot always imply potential reversal points but they can be useful for traders looking for 0.25% profit targets with reducing fearing of buying or selling too early.
Computing grids
This script split from 1.0 to 10.0 into three segments.
One is 1.0 to 2.0 .
The second segment is from 2.0 to 5.0 .
The third segment is from 5.0 to 10.0 .
This script does the same thing for 0.1 to 1.0 , 10.0 to 100.0 , and so on.
For 1.0 to 2.0 and 5.0 to 10.0 , this script split a segment as 270 grids.
For 2.0 to 5.0 , this script split a segment as 360 grids.
The last step is display the next grids to the daily low and daily high.
Maybe also display the grids behind grids shown.
Parameters
x1,x2,x3,x4 : display the next x1,x2,x3,x4 grids to daily high and daily low. 1 means the next grid to daily high and daily low. 2 means the next grid to 1.
x_seg : default 2.0 . This script split from 1.0 to 10.0 into three segments. One is 1.0 to x_seg. The second segment is from x_seg to 10.0/x_seg . The third segment is from 10.0/x_seg to 10.0 .
x_grid1 : how many grids in the first segment
x_grid2 : how many grids in the second segment
x_lowprice : add this number for bigger grid distance. Generally, you don't need this number when trading forex but you may need it in stock trading. For stocks with price between 50 to 100, I recommend you use x_lowprice=100.
Conclusion and suggestions
This script can find potential grids for trading.
If price touches grids usually, we can consider buy and sell after price touches grids.
If price reverses before touching grids usually, we may consider buy and sell before price touches grids.
Those grids can remind us don't buy too much unless the price touches the next grid.
For instruments with less volatility, maybe we need more grids.
For traders with more money, they may also consider more grids for more dedicated range trading to collect more profit.
Reference
Sorry, I forgot them.
Central Pivot Range 2xBased on a modified Hancock Pivot Range.
Displays the Central Pivot Range for 2 customisable Timeframes Along with Targets which are based on Classic Pivot Point Extensions.
The Pivot Point Extensions are Extended to the right of the price chart which helps eliminate unnecessary clutter
TF1 Displays Right Extensions R3 to S3 + the pivot point
TF2 Displays only Right Extensions R2 to S2
I would have liked to have provided more Right Extensions plus Labels however that would have exceeded Tradingviews memory limits, having said that R3 to S3 for both timeframes can still be displayed as historical levels
Central Pivot Range High Low and Mid Levels + the Targets work great as Support and Resistance and help with analysing the trend
A Thick Central Pivot Range generally indicates consolidation whereas a Thin Central Pivot Range generally indicates a trending market
vol_rangesThis script shows three measures of volatility:
historical (hv): realized volatility of the recent past
median (mv): a long run average of realized volatility
implied (iv): a user-defined volatility
Historical and median volatility are based on the EWMA, rather than standard deviation, method of calculating volatility. Since Tradingview's built in ema function uses a window, the "window" parameter determines how much historical data is used to calculate these volatility measures. E.g. 30 on a daily chart means the previous 30 days.
The plots above and below historical candles show past projections based on these measures. The "periods to expiration" dictates how far the projection extends. At 30 periods to expiration (default), the plot will indicate the one standard deviation range from 30 periods ago. This is calculated by multiplying the volatility measure by the square root of time. For example, if the historical volatility (hv) was 20% and the window is 30, then the plot is drawn over: close * 1.2 * sqrt(30/252).
At the most recent candle, this same calculation is simply drawn as a line projecting into the future.
This script is intended to be used with a particular options contract in mind. For example, if the option expires in 15 days and has an implied volatility of 25%, choose 15 for the window and 25 for the implied volatility options. The ranges drawn will reflect the two standard deviation range both in the future (lines) and at any point in the past (plots) for HV (blue), MV (red), and IV (grey).
LKK - Extended Range Candles GapOANDA:EURUSD
The indicator will highlight the Extended Range Candles (ERC) price gap.
Extended Range is the price excessively moving in one direction, it can be one or more candles.
ERC Gap is the range of price that doesn’t have any resistant.
To classified as ERC I use the range (highest price minus lowest price) of the candle before the ERC and divide with ERC range. If result less than given percentage (ERC %) then confirm it is ERC.
RedK_9/30 Trader_v1: aka The MusicianThis is my implementation of a simple trading system inspired by the 9/30 trading strategy, which i came across few years ago. i hope some traders are still using it :)
(please google "9/30 trading strategy" if you're not sure what it is)
- the improvements i added focus on: faster (long/short) signals, discovery of best entry "zone", ride the trend
- no exit option, trader can use a pre-set target, a trailing stop, or any other mechanisms
- i tried to explain some of the definitions and rules on the below chart
- in spite if its simplicity, the 9/30 has a lot to offer - different traders will also use it differently and add their own "do's and don't's"
default settings should be adjusted to suit timeframe, type of trader and what is being traded (Stocks, FOREX,..etc) - the concept itself is very flexible and well-tested for mechanical trading.
code-named "The Musician" due to the 5-line plot :)
i will continue to improve this work whenever i find time - i liked it a lot.. (please tag the idea to receive the updates)
Extras and improvements (compared to the classic 9/30 concept)
---------------------------------------------------------------------------------
* signal line is a smoothed zero-lag WMA of a shorter length (responds faster to trend change = faster signal)
* instead of a single longer MA line, we utilize an "average range" -based channel (not ATR, but provides the same concept) to provide the ideal "entry zones" in both directions - an adjustable multiplier is included in the settings to adjust the channel width
* adds an optional long EMA as additional filter (take longs only above, take shorts only below)
* clearer visualization
What's next:
==============
* clean-up code
* add signals (arrow-up & arrow-dn) for entry and for exit
* tri-color signal line (green on long, red on short, gray on no trade)
* other options for the channel (ATR-based, DC center-line..etc)
* other MA-type options for the Filter MA (SMA, WMA ?)
* maybe: convert to strategy and back-test
Please feel free to explore and test - Comments and feedback are welcome.
Good Luck!
Volume using Candle RangeAnother way of finding out a rough estimate of the volume or how much bulls or bears were in control using only the range of the candlesticks in relation to the closing price. If the close is in the higher range zone then the volume is said to have been positive, if the close is in the lower range zone then the volume is said to have been negative. The close is compared to the midpoint of the candle to see how far from the midpoint the close was.
The columns bars show how far each candlestick's close price is to the midpoint of its high and low. It's possible for the column bar to be a different color than the candlestick itself if the close was above or below the midpoint. An average line is shown that takes the average of a given length amount of column bars. There is an option to show the absolute value only of the columns and the average line.
This is based on an idea I found about candlestick range bars implying volume. This is an attempt to put that theory into practice and to see if there's any truth to it. It's not exactly volume and may not always look like it, and it does not show how many trades took place but instead tries to use price in relation to the high and low range.
PnD [Intromoto]This scripts forms a range based on time, then looks for the levels of premium (the difference between spot and perpetual price) and plots a signal depending on breakout or breakout.
The indicator only works properly on Binance perpetual futures charts. If you're not on a Binance perp chart, the metrics will default to a Biannce:BTCUSDT vs Binance:BTCUSDTPERP premium comparison.
This indicator automatically calls the appropriate spot vs future comparison. i.e if you're on the Binance:MATICUSDTPERP chart it knows to check the Binance:MATICUSDT chart for contrast.
"Super Pumps" are range breakouts with extreme levels of backwardation - set in user inputs
"Pumps" are range breakouts with less extreme backwardation - no user input
"Push" occurs where there are irregularities in the premium vs price sequence, indicating a potential bottom
"Pull" occurs where there are irregularities in the premium vs price sequence, indicating a potential top
"Dumps" are range breakdowns with extreme levels of premium - set in user inputs by %, indicating a potential top
Users can set the base range period, i.e the duration (length) of the range, as well as the range height, established by the first candle of the new range.
User inputs a resolution of candle close required to trigger the signal. i.e "15" would mean price needs to close a 15 minute candle outside of the established range for the signal to appear.
Example: Base period 240, Range Period 15. This would create an invisible range every 4 hours from its first fifteen minute candle. Any price closing (based on resolution in the inputs) would alert a breakout or breakdown.
DM for access.
Thanks
Predictive Period Risk RangeThis script produces a band range that uses a stochastic volatility process to come up with maximum and minimum price ranges over the specified period (using the length variable).
The sample used to predict volatility can be modified using the VolLength parameter, and the extremes can be modified using the VolInflator parameter.
For example, a VolLength of 30 uses the prior thirty days to predict volatility , but that volatility prediction is then adjusted to the period of Length and still only applied to that range
Please PM me for a free trial and for pricing
Consolidation ZonesConsolidation is the term for a stock or security that is neither continuing nor reversing a larger price trend. Consolidated stocks typically trade within limited price ranges and offer relatively few trading opportunities until another pattern emerges .Identifying consolidating stocks involves looking for those that have steady support and resistance levels, trade in a narrow range, and have low trading volumes.Trading on narrowly consolidated stocks can happen but there is often less room for profit due to the small range.Once a consolidation zones appears , keep an eye out for any possible breakouts above or below the upper and lower trading range bounds. These breakouts can be accompanied by large increases in volume and lead to large gains or losses in a short period of time, especially if the stock has been in consolidation for a longer stretch of time.
cATRpillerThis indicator is used to identify range breakouts using an ATR multiplier. My first script, Im sure there are indies out there like this, but this my favorite way to identify breakouts and trends.
Complete Pivot RangesI forgot what book I read this from. But basically a successful trader would create a range using the open/high/low/close of the previous day, and the high/low of the previous day.
I created the indicator from the book, but also added a few other pivots to it. You can hide the ones you don't need in settings.
He also mentioned that the resistance of this area is a lot like a samurai and armour, and that if price falls through the pivot, it will fall faster. Just like a sword that penetrates armour will go straight through your body.
Green = half day pivot. :: I've noticed price can be rejected from these areas against the trend during the day
Blue = daily pivot. :: My favourite. You can see how the trend is going by checking how it steps. There is good value in putting orders on in this range, especially when price is touching a 50 ema on the 15 min chart.
Red = 5 day rolling pivot :: collects the open/high/low/close of the last 5 days and makes a daily range with them. Best used with 50ema on the hour chart. The book used a 3 day rolling pivot but I find this more useful.
Yellow = 5 week rolling pivot :: like the red rolling pivot above but using the last 5 weeks. Best on 4 hour chart.
As with all indicators see if it can give you value and if it's right for your trading.
Cheers
All past LevelsContains all past levels that we need
1. Previous Monthly High
2. Previous Monthly Low
3. Previous Weekly High
4. Previous Weekly Low
5. Previous Daily High
6. Previous Daily Low
7. Previous Monthly Range Average (PMH+PML)/2
8. Previous WeeklyRange Average (PWH+PWL)/2
9. Previous Daily Range Average (PDH+PDL)/2
10. Monthly Open
11. Weekly Open
12. Daily Open
VPTbollfib & Camarilla (Danarilla)I do not own the original indicators. This is just a combination of the two because of their nature to work in a similar way.
Camarilla Pivots run on the basis of intraday range trading. Usually after daily open you look the fade whatever move happened before. by shorting R3/H3 levels or longing R3/L3. Targeting the other side of the range. This is the infamous PivotBoss level calculations and you would want to activate camarilla and turn off the normal pivots. They use the previous days volatility to plot the next days levels.
But what about some confirmation?
Well RafaelIzoni (who made it open source for improvement) threw together this VPTbollfib. It is volume price trend crossing down a fib line using bollinger bands as price envelope. The beauty of this is that It will signal usually counter to current price action based on selling into uptrends or vise versa. Meaning you get signals to counter price. Which is what you might be looking for on range day trade scalps for camarilla. A wick reversal or engulfing + volume based signal is a very happy pairing together. And those signals are usually suitable for the target of the range you are day trading. Hourly time frame works quite well for both. And camarilla should also be on daily settings.
Special Thanks to Nanda (who published the pivotboss indicator AND) Helped to merge the scripts together.
This indicator alone is an entire trade system. Camarilla already is. If you know the rules. it can be used for entries, exits, risk management to trade the range on TREND, COUNTER TREND, and BREAKOUT plays. The bollinger band fibs add confirmation to the trends levels. And the VPT adds a secondary confirmation to take a camarilla trade.
Try it out. I think you will find both the levels on camarilla and the VPT signals quite suprising.
LTP - Buddy Carter Expected Range
Expected Price Ranges based on Buddy Carter:
"Many years ago after reading a Paul Tudor Jones Risk Manual -- I created an "expected range" calculation to suit my circumstances -- it worked exceptionally well -- the simple equation is:
[ ]"
