ICT TGIF_V2 [MK]The ICT T.G.I.F (Thank God Its Friday) works on the following strategy:
1. Friday makes the High/Low of the Week.
2. The Weekly High/Low range is used to calculate 20-30% levels. (see chart above)
3. Trades are taken in the Friday PM session (NY EST) with the idea that price may retrace to the 20-30% level.
The indicator plots the following levels:
1. Week High
2. Week Low
3. Week Open
3. 20-30% level in upper part of weekly range (only shows if Friday has made the high of the week)
4. 20-30% level in lower part of weekly range (only shows if Friday has made the low of the week)
It is possible to show all historical levels listed above for the purpose of back-testing the TGIF strategy.
Also it is possible to disable all the historical and current levels, in which case only the 20-30% levels will show when Friday has made the Week High/Low (the 20-30% level only shows from 1200-1600 on Friday to keep charts as clean as possible.
Users of this script, and any script for that matter, should always do proper back-testing before taking any trades.
Many thanks should be given to ICT (The Inner Circle Trader) for bringing this strategy to the trading community.
Below shows indicator with all levels turned ON
Below shows indicator with all levels turned OFF (this allows for cleaner charts)
Komut dosyalarını "high low" için ara
EMA ProHi Traders!
This Improved EMA Cross Pro Indicator does a few things that Ease Up Our Charting.
Personally it Saved me Tons of Time searching for structure highs / lows, measuring ranges and distances from my entry to stop or take profit.
It's like having most of your trade in front of you, charted for you.
Works Across Assets & Time Frames.
The Functions
1. Signals EMA Crosses - green for Bull Cross & Red for Bear Cross
2. Signals Touches to the 55 EMA
a. In a Bull Cross it will only signal touches and closes Above the 55
b. In a Bear Cross it will only signal touches and closes Under the 55
3. Plots Current Horizontals:
a. The current position of the 55
b. The last High & Low
4. Calculation:
a. % from the 55 to the High & Low
b. Risk / Reward Ratio ("Bad Risk Management" message appears if ratio is not favorable)
c. Over Range between the Low and the High
5. Labels - Current prices for all horizontals marked as Entry, Exit & Stop
Notes:
* This Indicator is Interchanging between bull and bear crosses, it recognizes the trend and adapts its high and low output.
* You Can and Should make your personal changes. everything can be changed in the settings inputs.
* You can Turn On & Off most functions in the settings inputs.
BYBIT:BTCUSDT.P
Dual Dynamic Fibonacci Retracement — Long and Short Duration
Title : "The Dual-Dynamic Fibonacci Retracement Script: An Advanced Tool for Comprehensive Market Analysis"
As the author of the "Dual-Dynamic Fibonacci Retracement Script", I am delighted to introduce you to this cutting-edge tool for technical analysis. Unlike conventional Fibonacci scripts, this advanced model incorporates multiple unique features and adjustments that make it a powerful asset for any market analyst. Whether you're dealing with forex, commodities, equities or any other market, this script is versatile enough to enhance your trading strategy.
Uniqueness & Differentiation:
The "Dual-Dynamic Fibonacci Script" stands out by offering two distinct lookback periods. This feature is what separates it from other scripts available in the market. The first lookback period is longer, focusing on capturing broader market trends. The second lookback period is shorter, allowing for a more granular analysis of near-term market fluctuations. This dual perspective provides a more comprehensive view of the market, allowing you to see both the forest and the trees at the same time.
Fibonacci Levels:
While offering the standard Fibonacci retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, and 1.0), the script also gives you the ability to plot 0.114 and 0.886 levels. These additional levels offer an extra layer of depth to your analysis, and can prove crucial in high-volatility markets where they often serve as significant support and resistance points.
Customizable Line Shifts and Extends:
This script provides options for customization of the shift and extension of the plotted lines. This means you can adjust the start and end points of the Fibonacci lines according to your personal trading style and strategy. This level of personalization is not typically available in other scripts, and it allows for a more tailored visual representation.
Flexible Trading Positioning:
Depending on whether the closing price is above or below the midpoint of the pivot high and pivot low, the Fibonacci retracement levels are adjusted accordingly. This ensures the script remains relevant and useful regardless of market conditions.
Clean Visualization:
To prevent clutter and maintain focus on the most relevant price action, the script removes old Fibonacci lines and plots new ones once a new pivot high or low is identified. This clean visualization helps keep your analysis focused and sharp.
How to Use the Script:
To get started, simply adjust the lookback periods according to your trading strategy. If you're a long-term investor or prefer swing trading, a longer lookback period might be appropriate. Conversely, if you're a day trader, a shorter lookback period might be more beneficial.
The "Shift" and "Extend" inputs allow you to control the positioning of the Fibonacci lines on your chart. Positive values shift the lines to the right, while negative values shift them to the left.
You also have the choice to plot the additional Fibonacci levels (0.114 and 0.886) via the "Plot 0.114 and 0.886 levels?" input. Similarly, the "Plot second set of levels?" input lets you decide whether to display the second set of Fibonacci levels derived from the shorter lookback period.
Like any technical analysis tool, this script is most effective when used in conjunction with other indicators and methods of analysis. It is designed to work well in trending markets, where Fibonacci retracements can often indicate potential reversal levels. However, it's always recommended to use a holistic approach to market analysis to maximize the likelihood of successful trades.
Note: the two lines drawn on the chart are there to help the user identify the levels from which the two respective Fib sequences are calculated.
~~~
Input Explanations:
Long Period Pivot High/Low Lookback and Short Period Pivot High/Low Lookback : These settings determine the length of the lookback periods for the long-term and short-term pivot points, respectively. A pivot point is a technical analysis indicator used to determine the overall trend of the market over different time frames. The pivot points are then used to calculate the Fibonacci levels. A longer lookback period will identify pivot points over a broader time frame, capturing major market trends, while a shorter lookback period will identify pivot points over a narrower time frame, capturing more immediate market movements.
Long Period Fibonacci Level Shift and Short Period Fibonacci Level Shift : These inputs control the shift of the Fibonacci levels based on the long and short lookback periods, respectively. If you want to shift the Fibonacci levels to the right, increase the value. If you want to shift the Fibonacci levels to the left, decrease the value. This allows you to adjust the Fibonacci levels to better align with your analysis.
Long Period Fibonacci Level Extend and Short Period Fibonacci Level Extend : These inputs control the extension of the Fibonacci levels based on the long and short lookback periods, respectively. If you want the Fibonacci levels to extend further to the right, increase the value. If you want the Fibonacci levels to extend less to the right, decrease the value. This feature provides the flexibility to adjust the length of the Fibonacci levels according to your personal trading preferences and strategy.
Plot 0.114 and 0.886 levels? : This setting gives you the ability to plot the additional 0.114 and 0.886 Fibonacci levels. These levels provide extra depth to your analysis, particularly in highly volatile markets where they can act as significant support and resistance levels.
Plot second set of levels? : This input allows you to decide whether to plot the second set of Fibonacci levels based on the short lookback period. Displaying this second set of levels can provide a more granular view of market movements and potential reversal points, enhancing your overall analysis.
Draw Several Horizontal Lines [MsF]Japanese below / 日本語説明は英文の後にあります。
-------------------------
This indicator that automatically draws a horizontal line by copying from the input High/Low. Useful for doing horizon analysis. It's possible to display Fibonacci based on the entered High/Low. You can get the alert of each Fibonacci point.
- Parameter
Input Upper Value: Enter the High value
Input Lower Value: Enter the Low value
Band Range Count : Enter the number of horizontal lines
Fibonacci : visible or invisible
-------------------------
入力したHigh/Lowを起点に水平線を上下にコピーして自動で描画するインジケーターです。水平線分析を行うのに役立ちます。
また、入力したHigh/Lowを元にfibonacciを表示することも可能です。fibonacciについては、各ポイント毎にアラートの設定も可能です。
＜パラメータ説明＞
Input Upper Value：起点となるHighを入力してください
Input Lower Value：起点となるLowを入力してください
Band Range Count ：水平線を上下にコピーする本数を入力してください
Fibonacci ：フィボナッチが不要な場合はfalseにしてください
Extension %This is a tracking tool to measure two different kinds of distances:
- Gaps, from the open/close or the high/low value to the nearest open/close or high/low value.
- Price extensions of one or two candles from a preferred starting point (open, high, low or close) to a final point (open, high, low or close). The two-candles mode includes an optional rectangle to help you visualize the first and the last point of the measurement.
The script will plot a label with a percentage when the extension reaches the value you set. Unless you choose to track the one-candle price extension, the label will always be displayed on the high/low value of the second candle.
DB Change Forecast ProDB Change Forecast Pro
What does the indicator do?
The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction.
Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor.
A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected.
The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe.
The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar.
You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction.
The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history.
How should this indicator be used?
First, very important,
1. Settings > Set Symbol to Desired
2. Settings > Set High Timeframe to "Chart"
3. Settings > Ensure "Use price as divisor" is checked.
It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen.
The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts.
Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones.
For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting.
At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above.
Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe.
This is only an example of use. Please use this indicator as your own risk and after doing your due diligence.
Does the indicator include any alerts?
Yes,
"DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired.
"DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired.
"DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected.
"DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected.
"DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level.
"DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level.
Any other tips?
Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too!
Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes.
You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works.
Why am I not selling this indicator?
I would like to bless the TradingView community, and I enjoy publishing custom indicators.
If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations.
Enjoy!
Parkinson's Historical Volatility Bands [Loxx]Parkinson's Historical Volatility Bands are constructed using:
Average as the middle line.
Upper and lower bands using the Parkinson's historical volatility (instead of "regular" Historical Volatility) for bands calculation.
What is Parkinson's Historical Volatility?
The Parkinson's number, or High Low Range Volatility developed by the physicist, Michael Parkinson in 1980, aims to estimate the Volatility of returns for a random walk using the High and Low in any particular period. IVolatility.com calculates daily Parkinson values. Prices are observed on a fixed time interval: n = 10, 20, 30, 60, 90, 120, 150, 180 days.
SH is stock's High price in t day.
SL is stock's Low price in t day.
High/Low Return (xt^HL) is calculated as the natural logarithm of the ratio of a stock's High price to stock's Low price.
Return:
And Parkinson's number: 1 / (4 * math.log(2)) * 252 / n * Σ (n, t =1) {math.log(Ht/Lt)^2}
An important use of the Parkinson's number is the assessment of the distribution prices during the day as well as a better understanding of the market dynamics. Comparing the Parkinson's number and periodically sampled volatility helps traders understand the tendency towards mean reversion in the market as well as the distribution of stop-losses.
The color of the middle line, unlike the bands colors, has 3 colors. When colors of the bands are the same, then the middle line has the same color, otherwise it's white.
Included
Alerts
Signals
Loxx's Expanded Source Types
Bar coloring
Intraday Buy/Sell using Gann Angles - RiTzIntraday Buy/Sell Levels using Gann Angles based on Todays Open/previous Day High/Low/Close prices
How to use this :
The Buy/Sell levels will be calculated on 1 of 4 things (you can choose any one which you prefer)
1. Todays Open price
2. Previous Day High
3. Previous Day Low
4. Previous Day Close
The Buy/Sell levels will be displayed in these ways
1. In a Table
2. on the Chart
You can turn them on/off according to your preference!
I can't seem to find the original documentation or a link to it.
i have it's excel file, in which we have to enter following data :
1. Todays Open price
2. Previous Day High
3. Previous Day Low
4. Previous Day Close
and the buy/sell levels are calculated by using the above data in following manner :
Based On Today's Opening Price
(lets call it TDO)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(TDO)-0.0625)^2``````` =(sqrt(TDO)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(TDO)+0.125)^2```````` =(sqrt(TDO)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(TDO)+0.25)^2````````` =(sqrt(TDO)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(TDO)+0.5)^2`````````` =(sqrt(TDO)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(TDO)+0.75)^2````````` =(sqrt(TDO)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(TDO)+1)^2```````````` =(sqrt(TDO)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(TDO)+1.25)^2````````` =(sqrt(TDO)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(TDO)+1.5)^2`````````` =(sqrt(TDO)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(TDO)+1.75)^2````````` =(sqrt(TDO)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(TDO)+2)^2```````````` =(sqrt(TDO)-2)^2`````````` Target-8
sqrt = square root
TDO = Today's Opening Price
PDH = Previous Days High
PDL = Previous Days Low
PDC = Previous Days Close
Based On Previous Days High Price
(lets call it PDH)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDH)-0.0625)^2``````` =(sqrt(PDH)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDH)+0.125)^2```````` =(sqrt(PDH)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDH)+0.25)^2````````` =(sqrt(PDH)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDH)+0.5)^2`````````` =(sqrt(PDH)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDH)+0.75)^2````````` =(sqrt(PDH)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDH)+1)^2```````````` =(sqrt(PDH)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDH)+1.25)^2````````` =(sqrt(PDH)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDH)+1.5)^2`````````` =(sqrt(PDH)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDH)+1.75)^2````````` =(sqrt(PDH)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDH)+2)^2```````````` =(sqrt(PDH)-2)^2`````````` Target-8
Based On Previous Days Low Price
(lets call it PDL)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDL)-0.0625)^2``````` =(sqrt(PDL)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDL)+0.125)^2```````` =(sqrt(PDL)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDL)+0.25)^2````````` =(sqrt(PDL)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDL)+0.5)^2`````````` =(sqrt(PDL)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDL)+0.75)^2````````` =(sqrt(PDL)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDL)+1)^2```````````` =(sqrt(PDL)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDL)+1.25)^2````````` =(sqrt(PDL)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDL)+1.5)^2`````````` =(sqrt(PDL)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDL)+1.75)^2````````` =(sqrt(PDL)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDL)+2)^2```````````` =(sqrt(PDL)-2)^2`````````` Target-8
Based On Previous Days Close Price
(lets call it PDC)
Degree's````````````````` Degree Factor```````````````````````` Buy````````````````````````` Sell
11.25```````````````````` =degree/180=11.25/180=0.0625````````` =(sqrt(PDC)-0.0625)^2``````` =(sqrt(PDC)+0.0625)^2````` SL
22.5````````````````````` =degree/180=22.5/180=0.125``````````` =(sqrt(PDC)+0.125)^2```````` =(sqrt(PDC)-0.125)^2`````` Buy/Sell At
45``````````````````````` =degree/180=45/180=0.25`````````````` =(sqrt(PDC)+0.25)^2````````` =(sqrt(PDC)-0.25)^2``````` Target-1
90``````````````````````` =degree/180=90/180=0.5``````````````` =(sqrt(PDC)+0.5)^2`````````` =(sqrt(PDC)-0.5)^2```````` Target-2
135`````````````````````` =degree/180=135/180=0.75````````````` =(sqrt(PDC)+0.75)^2````````` =(sqrt(PDC)-0.75)^2``````` Target-3
180`````````````````````` =degree/180=180/180=1```````````````` =(sqrt(PDC)+1)^2```````````` =(sqrt(PDC)-1)^2`````````` Target-4
225`````````````````````` =degree/180=225/180=1.25````````````` =(sqrt(PDC)+1.25)^2````````` =(sqrt(PDC)-1.25)^2``````` Target-5
270`````````````````````` =degree/180=270/180=1.5`````````````` =(sqrt(PDC)+1.5)^2`````````` =(sqrt(PDC)-1.5)^2```````` Target-6
315`````````````````````` =degree/180=315/180=1.75````````````` =(sqrt(PDC)+1.75)^2````````` =(sqrt(PDC)-1.75)^2``````` Target-7
360`````````````````````` =degree/180=360/180=2```````````````` =(sqrt(PDC)+2)^2```````````` =(sqrt(PDC)-2)^2`````````` Target-8
example based On Today's Opening Price = 4339
Degree's```````` Degree Factor```````` Buy`````````` Sell
11.25``````````` 0.0625``````````````` 4330.77`````` 4347.24```````` SL
22.5```````````` 0.125```````````````` 4355.48`````` 4322.55```````` Buy/Sell At
45`````````````` 0.25````````````````` 4372.00`````` 4306.13```````` Target-1
90`````````````` 0.5`````````````````` 4405.12`````` 4273.38```````` Target-2
135````````````` 0.75````````````````` 4438.37`````` 4240.76```````` Target-3
180````````````` 1```````````````````` 4471.74`````` 4208.26```````` Target-4
225````````````` 1.25````````````````` 4505.24`````` 4175.88```````` Target-5
270````````````` 1.5`````````````````` 4538.86`````` 4143.64```````` Target-6
315````````````` 1.75````````````````` 4572.61`````` 4111.51```````` Target-7
360````````````` 2```````````````````` 4606.48`````` 4079.52```````` Target-8
Note : ignore the '`' , inserted them to fill up the spaces , it was looking very weird!, tried to fix it as much as I can.
Note :- Please correct me if I'm wrong , as I've already mentioned I don't have it's original documentation.
if anyone can find it or already has it then please feel free to share it.
Day Week Month High & LowThis is a small little script that helps visually mark the high and lows of the DAY, WEEK or MONTH (of your choosing). It's best when paired with my High and Low Fibonacci Pivot Points indicator to help emphasize the high and lows of the day, week or month.
Moving Average Filters Add-on w/ Expanded Source Types [Loxx]Moving Average Filters Add-on w/ Expanded Source Types is a conglomeration of specialized and traditional moving averages that will be used in most of indicators that I publish moving forward. There are 39 moving averages included in this indicator as well as expanded source types including traditional Heiken Ashi and Better Heiken Ashi candles. You can read about the expanded source types clicking here . About half of these moving averages are closed source on other trading platforms. This indicator serves as a reference point for future public/private, open/closed source indicators that I publish to TradingView. Information about these moving averages was gleaned from various forex and trading forums and platforms as well as TASC publications and other assorted research publications.
________________________________________________________________
Included moving averages
ADXvma - Average Directional Volatility Moving Average
Linnsoft's ADXvma formula is a volatility-based moving average, with the volatility being determined by the value of the ADX indicator.
The ADXvma has the SMA in Chande's CMO replaced with an EMA, it then uses a few more layers of EMA smoothing before the "Volatility Index" is calculated.
A side effect is, those additional layers slow down the ADXvma when you compare it to Chande's Variable Index Dynamic Average VIDYA.
The ADXVMA provides support during uptrends and resistance during downtrends and will stay flat for longer, but will create some of the most accurate market signals when it decides to move.
Ahrens Moving Average
Richard D. Ahrens's Moving Average promises "Smoother Data" that isn't influenced by the occasional price spike. It works by using the Open and the Close in his formula so that the only time the Ahrens Moving Average will change is when the candlestick is either making new highs or new lows.
Alexander Moving Average - ALXMA
This Moving Average uses an elaborate smoothing formula and utilizes a 7 period Moving Average. It corresponds to fitting a second-order polynomial to seven consecutive observations. This moving average is rarely used in trading but is interesting as this Moving Average has been applied to diffusion indexes that tend to be very volatile.
Double Exponential Moving Average - DEMA
The Double Exponential Moving Average (DEMA) combines a smoothed EMA and a single EMA to provide a low-lag indicator. It's primary purpose is to reduce the amount of "lagging entry" opportunities, and like all Moving Averages, the DEMA confirms uptrends whenever price crosses on top of it and closes above it, and confirms downtrends when the price crosses under it and closes below it - but with significantly less lag.
Double Smoothed Exponential Moving Average - DSEMA
The Double Smoothed Exponential Moving Average is a lot less laggy compared to a traditional EMA. It's also considered a leading indicator compared to the EMA, and is best utilized whenever smoothness and speed of reaction to market changes are required.
Exponential Moving Average - EMA
The EMA places more significance on recent data points and moves closer to price than the SMA (Simple Moving Average). It reacts faster to volatility due to its emphasis on recent data and is known for its ability to give greater weight to recent and more relevant data. The EMA is therefore seen as an enhancement over the SMA.
Fast Exponential Moving Average - FEMA
An Exponential Moving Average with a short look-back period.
Fractal Adaptive Moving Average - FRAMA
The Fractal Adaptive Moving Average by John Ehlers is an intelligent adaptive Moving Average which takes the importance of price changes into account and follows price closely enough to display significant moves whilst remaining flat if price ranges. The FRAMA does this by dynamically adjusting the look-back period based on the market's fractal geometry.
Hull Moving Average - HMA
Alan Hull's HMA makes use of weighted moving averages to prioritize recent values and greatly reduce lag whilst maintaining the smoothness of a traditional Moving Average. For this reason, it's seen as a well-suited Moving Average for identifying entry points.
IE/2 - Early T3 by Tim Tilson
The IE/2 is a Moving Average that uses Linear Regression slope in its calculation to help with smoothing. It's a worthy Moving Average on it's own, even though it is the precursor and very early version of the famous "T3 Indicator".
Integral of Linear Regression Slope - ILRS
A Moving Average where the slope of a linear regression line is simply integrated as it is fitted in a moving window of length N (natural numbers in maths) across the data. The derivative of ILRS is the linear regression slope. ILRS is not the same as a SMA (Simple Moving Average) of length N, which is actually the midpoint of the linear regression line as it moves across the data.
Instantaneous Trendline
The Instantaneous Trendline is created by removing the dominant cycle component from the price information which makes this Moving Average suitable for medium to long-term trading.
Laguerre Filter
The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation.
Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness.
Leader Exponential Moving Average
The Leader EMA was created by Giorgos E. Siligardos who created a Moving Average which was able to eliminate lag altogether whilst maintaining some smoothness. It was first described during his research paper "MACD Leader" where he applied this to the MACD to improve its signals and remove its lagging issue. This filter uses his leading MACD's "modified EMA" and can be used as a zero lag filter.
Linear Regression Value - LSMA (Least Squares Moving Average)
LSMA as a Moving Average is based on plotting the end point of the linear regression line. It compares the current value to the prior value and a determination is made of a possible trend, eg. the linear regression line is pointing up or down.
Linear Weighted Moving Average - LWMA
LWMA reacts to price quicker than the SMA and EMA. Although it's similar to the Simple Moving Average, the difference is that a weight coefficient is multiplied to the price which means the most recent price has the highest weighting, and each prior price has progressively less weight. The weights drop in a linear fashion.
McGinley Dynamic
John McGinley created this Moving Average to track price better than traditional Moving Averages. It does this by incorporating an automatic adjustment factor into its formula, which speeds (or slows) the indicator in trending, or ranging, markets.
McNicholl EMA
Dennis McNicholl developed this Moving Average to use as his center line for his "Better Bollinger Bands" indicator and was successful because it responded better to volatility changes over the standard SMA and managed to avoid common whipsaws.
Non lag moving average
The Non Lag Moving average follows price closely and gives very quick signals as well as early signals of price change. As a standalone Moving Average, it should not be used on its own, but as an additional confluence tool for early signals.
Parabolic Weighted Moving Average
The Parabolic Weighted Moving Average is a variation of the Linear Weighted Moving Average. The Linear Weighted Moving Average calculates the average by assigning different weight to each element in its calculation. The Parabolic Weighted Moving Average is a variation that allows weights to be changed to form a parabolic curve. It is done simply by using the Power parameter of this indicator.
Recursive Moving Trendline
Dennis Meyers's Recursive Moving Trendline uses a recursive (repeated application of a rule) polynomial fit, a technique that uses a small number of past values estimations of price and today's price to predict tomorrows price.
Simple Moving Average - SMA
The SMA calculates the average of a range of prices by adding recent prices and then dividing that figure by the number of time periods in the calculation average. It is the most basic Moving Average which is seen as a reliable tool for starting off with Moving Average studies. As reliable as it may be, the basic moving average will work better when it's enhanced into an EMA.
Sine Weighted Moving Average
The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting from the first half of a Sine Wave Cycle and the most weighting is given to the data in the middle of that data set. The Sine WMA closely resembles the TMA (Triangular Moving Average).
Smoothed Moving Average - SMMA
The Smoothed Moving Average is similar to the Simple Moving Average (SMA), but aims to reduce noise rather than reduce lag. SMMA takes all prices into account and uses a long lookback period. Due to this, it's seen a an accurate yet laggy Moving Average.
Smoother
The Smoother filter is a faster-reacting smoothing technique which generates considerably less lag than the SMMA (Smoothed Moving Average). It gives earlier signals but can also create false signals due to its earlier reactions. This filter is sometimes wrongly mistaken for the superior Jurik Smoothing algorithm.
Super Smoother
The Super Smoother filter uses John Ehlers’s “Super Smoother” which consists of a a Two pole Butterworth filter combined with a 2-bar SMA (Simple Moving Average) that suppresses the 22050 Hz Nyquist frequency: A characteristic of a sampler, which converts a continuous function or signal into a discrete sequence.
Three pole Ehlers Butterworth
The 3 pole Ehlers Butterworth (as well as the Two pole Butterworth) are both superior alternatives to the EMA and SMA. They aim at producing less lag whilst maintaining accuracy. The 2 pole filter will give you a better approximation for price, whereas the 3 pole filter has superior smoothing.
Three pole Ehlers smoother
The 3 pole Ehlers smoother works almost as close to price as the above mentioned 3 Pole Ehlers Butterworth. It acts as a strong baseline for signals but removes some noise. Side by side, it hardly differs from the Three Pole Ehlers Butterworth but when examined closely, it has better overshoot reduction compared to the 3 pole Ehlers Butterworth.
Triangular Moving Average - TMA
The TMA is similar to the EMA but uses a different weighting scheme. Exponential and weighted Moving Averages will assign weight to the most recent price data. Simple moving averages will assign the weight equally across all the price data. With a TMA (Triangular Moving Average), it is double smoother (averaged twice) so the majority of the weight is assigned to the middle portion of the data.
The TMA and Sine Weighted Moving Average Filter are almost identical at times.
Triple Exponential Moving Average - TEMA
The TEMA uses multiple EMA calculations as well as subtracting lag to create a tool which can be used for scalping pullbacks. As it follows price closely, it's signals are considered very noisy and should only be used in extremely fast-paced trading conditions.
Two pole Ehlers Butterworth
The 2 pole Ehlers Butterworth (as well as the three pole Butterworth mentioned above) is another filter that cuts out the noise and follows the price closely. The 2 pole is seen as a faster, leading filter over the 3 pole and follows price a bit more closely. Analysts will utilize both a 2 pole and a 3 pole Butterworth on the same chart using the same period, but having both on chart allows its crosses to be traded.
Two pole Ehlers smoother
A smoother version of the Two pole Ehlers Butterworth. This filter is the faster version out of the 3 pole Ehlers Butterworth. It does a decent job at cutting out market noise whilst emphasizing a closer following to price over the 3 pole Ehlers.
Volume Weighted EMA - VEMA
Utilizing tick volume in MT4 (or real volume in MT5), this EMA will use the Volume reading in its decision to plot its moves. The more Volume it detects on a move, the more authority (confirmation) it has. And this EMA uses those Volume readings to plot its movements.
Studies show that tick volume and real volume have a very strong correlation, so using this filter in MT4 or MT5 produces very similar results and readings.
Zero Lag DEMA - Zero Lag Double Exponential Moving Average
John Ehlers's Zero Lag DEMA's aim is to eliminate the inherent lag associated with all trend following indicators which average a price over time. Because this is a Double Exponential Moving Average with Zero Lag, it has a tendency to overshoot and create a lot of false signals for swing trading. It can however be used for quick scalping or as a secondary indicator for confluence.
Zero Lag Moving Average
The Zero Lag Moving Average is described by its creator, John Ehlers, as a Moving Average with absolutely no delay. And it's for this reason that this filter will cause a lot of abrupt signals which will not be ideal for medium to long-term traders. This filter is designed to follow price as close as possible whilst de-lagging data instead of basing it on regular data. The way this is done is by attempting to remove the cumulative effect of the Moving Average.
Zero Lag TEMA - Zero Lag Triple Exponential Moving Average
Just like the Zero Lag DEMA, this filter will give you the fastest signals out of all the Zero Lag Moving Averages. This is useful for scalping but dangerous for medium to long-term traders, especially during market Volatility and news events. Having no lag, this filter also has no smoothing in its signals and can cause some very bizarre behavior when applied to certain indicators.
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What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following:
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Expanded generic source types:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
Included:
-Toggle bar color on/off
-Toggle signal line on/off
Equal Highs and Equal LowsA simple indicator that detects if two candles lows or highs are equal. The pattern simply indicates the possibility of a reversal. However, many traders also use the Equal highs/lows within a broader context of market analysis to provide insights for trend traders, especially to detect pullbacks.
Equal Highs/Lows are a pattern that can indicate a shift in a trend direction or to find pullbacks within an established trend. The idea behind the equal highs and lows is that the first candle shows a strong move in the current direction, and the second candle pauses the previous candlestick price action. It's a clear sign that the momentum is slowing down. This insight is valuable for traders and can detect a potential change in the trend direction.
Usage
Use the pattern to find reversals.
Use the pattern to find pullbacks.
Disclaimer: No financial advice, only for educational/entertainment purposes.
HLC True Strength Indicator (with Vix)HLC True Strength Indicator Volume Weighted with Vix Line by SpreadEagle71
This indicator is a True Strength Indicator with Close, High and Low used together, along with the TSI of the Vix.
The white line is the close. The red line is the lows and the blue is the highs. These are also volume-weighted.
How to Interpret:
1. zero line crosses. If SPY/SPX500 crosses the zero line, then its bullish. If the purple Vix line crosses up, watch out because this is bearish.
2. white/blue/red lines cross purple (Vix). If they cross upwards, this is bullish. If downward, this is bearish. Basically, SPX, ES1!, SPY or even DIA can be used. The security and the Vix should travel in opposite directions and cross the zero-line at the same time. But this is not always the case.
3. Black area infills. These are used between the close and the highs (blue) and the lows(red). Close should not be between these in order to have momentum.
4. Close (white line) leads. Close is the last price so it tends to show where the others (highs and lows) are going. If the close is sagging below a high where the blue lines are on top, this could mean that there is a reversal coming. Same holds true for a white line above a "valley" formed by the blue and red lines; it could mean a reversal to the upside soon.
5. The Black Infill areas as a squeeze or contraction/expansion area. The thinner the black infill areas, the more of a momentum "squeeze" could be present. Wide black infill areas mean increased volatility and what may come next is a reversion to the mean for volatility. See TTM Squeeze Indicator or the Squeeze Momentum Indicator (kudos LazyBear).
Lastly, just remember indicators indicate; they are not magic. :)
SpreadEagle71
JNSAR-DPJNSAR:
Take Last 5 days, 5 periods High, Low and Close EMA. We shall have 15 such EMAs. Its average is JNSAR.
EMAs:
Plot High and Low EMAs for the 5 periods.
If close is above high EMA, fill the band with green color, if close is below low ema, fill the band with red color. If close is between high and low EMAs, fill the band with
grey color.
Display the indicator in a Day and Week and Hour time frames.
How to use:
When you see a green color band, there are high chances of price to move higher. If you see a red color band, there are high chances of the price to move lower. If you
see more grey color, there are high chances of the price to move sideways.
Disclaimer:
This indicator is for education or study purpose. There is no recommendation to buy or sell any scrip here. Take your own risks and rewards and you are only the
responsible for any outcome after using this indicator.
Mean Shift Pivot ClusteringCore Concepts
According to Jeff Greenblatt in his book "Breakthrough Strategies for Predicting Any Market", Fibonacci and Lucas sequences are observed repeated in the bar counts from local pivot highs/lows. They occur from high to high, low to high, high to low, or low to high. Essentially, this phenomenon is observed repeatedly from any pivot points on any time frame. Greenblatt combines this observation with Elliott Waves to predict the price and time reversals. However, I am no Elliottician so it was not easy for me to use this in a practical manner. I decided to only use the bar count projections and ignore the price. I projected a subset of Fibonacci and Lucas sequences along with the Fibonacci ratios from each pivot point. As expected, a projection from each pivot point resulted in a large set of plotted data and looks like a huge gong show of lines. Surprisingly, I did notice clusters and have observed those clusters to be fairly accurate.
Fibonacci Sequence: 1, 2, 3, 5, 8, 13, 21, 34...
Lucas Sequence: 2, 1, 3, 4, 7, 11, 18, 29, 47...
Fibonacci Ratios (converted to whole numbers): 23, 38, 50, 61, 78, 127, 161...
Light Bulb Moment
My eyes may suck at grouping the lines together but what about clustering algorithms? I chose to use a gimped version of Mean Shift because it doesn't require me to know in advance how many lines to expect like K-Means. Mean shift is computationally expensive and with Pinescript's 500ms timeout, I had to make due without the KDE. In other words, I skipped the weighting part but I may try to incorporate it in the future. The code is from Harrison Kinsley . He's a fantastic teacher!
Usage
Search Radius: how far apart should the bars be before they are excluded from the cluster? Try to stick with a figure between 1-5. Too large a figure will give meaningless results.
Pivot Offset: looks left and right X number of bars for a pivot. Same setting as the default TradingView pivot high/low script.
Show Lines Back: show historical predicted lines. (These can change)
Use this script in conjunction with Fibonacci price retracement/extension levels and/or other support/resistance levels. If it's no where near a support/resistance and there's a projected time pivot coming up, it's probably a fake out.
Notes
Re-painting is intended. When a new pivot is found, it will project out the Fib/Lucas sequences so the algorithm will run again with additional information.
The script is for informational and educational purposes only.
Do not use this indicator by itself to trade!
Volume Pace & Pressure TableHave you ever wanted to know if a particular tickers volume is above or below average while still in the trading day? This indicator displays an easy-to-read table that informs the user exactly what is occurring in intraday volume. And a whole lot more!
Description
This indicator displays a variable table with either two or three columns and always three rows. It packs everything a user needs to know about volume in one small table. The table shows:
Current trading days volume
Average daily volume
Volume Pace
Volume Pressure (Buying & Selling)
Volume Pace
Volume Pace is a mathematical calculation invented by the author, Infinity_Trading . The problem was to figure out a way to know if the current days volume was below average or above average while still in the trading day. Calculations like Percent Daily Volume don’t work during the intraday trading hours. For example, say SPY has a 20-day volume average of 100 million shares. If in the first hour SPY has only traded 10 million shares then dividing the current volume into the average daily volume doesn’t tell the user anything when there is still 5.5 hours of trading left in the trading day. There had to be a better way! The solution was to chop up the trading day into evenly divisible time periods (i.e. <= 30 minutes). The Volume Pace algorithm takes the average daily volume and chops it up into small time periods based upon the charts current timeframe. This is the average volume per smaller time period. Then use the current days volume and the number of time periods that have occurred in the trading day so far (at the current moment in time i.e. the current candlestick) to form a calculation that returns the volume above or below the average volume up to that point in time.
Volume Pace Equations
Intraday Vol. Pace = Today’s Current Vol. - ( ( Average Daily Vol. / Time periods in trading day ) * Time periods that have occurred so far in trading day )
Postday Vol. Pace = Today’s Trading Vol. - Average Daily Vol.
^ Vol. = Volume (because TradingViews pine tags are dumb)
Volume Pace Definitions
Volume Pace is the difference in cumulative volume between todays current volume and the average daily volume up to same time of the day
Volume Pace Usage
If the Volume Pace is a positive number then it means that up to the current trading time the volume is that amount greater than the average daily volume over that same intraday time span.
If the Volume Pace is a negative number then it means that up to the current trading time the volume is that amount smaller than the average daily volume over that same intraday time span.
If the Volume Pace is positive during the intraday then the volume is on track to be an above average volume trading day.
If the Volume Pace is negative during the intraday then the volume is on track to be a below average volume trading day.
The Percent Volume Pace is the percent increase or decrease of the current volume compared to the average volume up to the same time of day. Or the Percent Volume Pace is the Volume Pace expressed as a percentage.
After the trading day is complete the Volume Pace will be the difference between the Daily Volume and the Average Daily Volume. And the same thing applies to the Percent Volume Pace.
Volume Pressure
The author, Infinity_Trading, did not invent the calculations for Volume Pressure but the definitions and explanations of Volume Pressure are their own creations. In specific terms, Volume Pressure is a mathematical calculation that uses the direction and distances of individual candlesticks bodies and wicks to assign a numerical value to volume.
buyingPressure = vol * (close - low) / (high - low)
sellingPressure = vol * (high - close) / (high - low)
^ vol = Volume (because TradingViews pine tags are dumb)
The author wants to make clear that volume “pressure” isn’t a real thing. Trades in any market require a buyer and a seller. So there is always an equal number of buyers and sellers. Thus, the idea that there are more buyers or more sellers isn’t rooted in reality. BUT the author believes that the calculation and understanding of “volume pressure” takes a very complex subject (price moment in a market) and condenses into something that intuitively makes sense to humans (pressure) and places it onto something that is already on everyone’s charts (volume bars).
The calculation for Buying Pressure is really calculating the upward distance between the low and the close of the candle. While Selling Pressure is measuring the downward distance from the high to the close. And both are using volume bars to express these measurements. So if an individual candle goes down then the red Selling Pressure will be more on the stacked bar chart than the green Buying Pressure. And vice versa for candles that went up. If a Volume Pressure bar is completely one color then it means, for a downward candle, the low and close were equivalent, and for an upward candle, the high and the close were the same. Lastly, the Buying & Selling Pressure will always add up to 100%.
Inputs and Style
In the Input section the user can set the number of days to use for all of the average calculations. All aspects of the table can be controlled. The background color, text color, border widths, and border colors. Also, the table can be moved to 9 unique locations around the chart for complete user control. Also, the user can use their cursor to hover over each cell in the table to reveal a tooltip definition of the calculation in the cell.
Special Notes
The volume table won’t display when the chart timeframe is weekly or monthly because the logic uses “daily” volume.
The Volume Pace column in the table disappears when the timeframe is greater than 30 minutes. Because for Volume Pace to work the time periods must be equally divisible into 6.5 hours (the duration of trading day).
HersG High Low Bar Charts Layout
Hello friends,
The following indicator will create a new form of chart layout in High & Low as candle-like full bars instead of Open and Close. There are no wicks, only full bars highlighting High and Low of the select time frame. Two dots inside a bar will represent Open (Red dot) and Close (Green dot).
How can it help you as a trader?
High and Low candle-like bars will clear the noise from charts in identifying support & resistance, higher-highs and lower-lows will be clearly visible thus helping you make trades.
First add the indicator and then hover the mouse pointer over the ticker in the charts and click on the “eye-shaped” symbol to hide the candlesticks chart pattern.
The type of chart layout is standard charts. Data are not re-calculated or manipulated.
Regards!
Pythagorean Means of Moving AveragesDESCRIPTION
Pythagorean Means of Moving Averages
1. Calculates a set of moving averages for high, low, close, open and typical prices, each at multiple periods.
Period values follow the Fibonacci sequence.
The "short" set includes moving average having the following periods: 5, 8, 13, 21, 34, 55, 89, 144, 233, 377.
The "mid" set includes moving average having the following periods: 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597.
The "long" set includes moving average having the following periods: 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181.
2. User selects the type of moving average: SMA, EMA, HMA, RMA, WMA, VWMA.
3. Calculates the mean of each set of moving averages.
4. User selects the type of mean to be calculated: 1) arithmetic, 2) geometric, 3) harmonic, 4) quadratic, 5) cubic. Multiple mean calculations may be displayed simultaneously, allowing for comparison.
5. Plots the mean for high, low, close, open, and typical prices.
6. User selects which plots to display: 1) high and low prices, 2) close prices, 3) open prices, and/or 4) typical prices.
7. Calculates and plots a vertical deviation from an origin mean--the mean from which the deviation is measured.
8. Deviation = origin mean x a x b^(x/y)/c.
9. User selects the deviation origin mean: 1) high and low prices plot, 2) close prices plot, or 3) typical prices plot.
10. User defines deviation variables a, b, c, x and y.
Examples of deviation:
a) Percent of the mean = 1.414213562 = 2^(1/2) = Pythagoras's constant (default).
b) Percent of the mean = 0.7071067812 = = = sin 45˚ = cos 45˚.
11. Displaces the plots horizontally +/- by a user defined number of periods.
PURPOSE
1. Identify price trends and potential levels of support and resistance.
CREDITS
1. "Fibonacci Moving Average" by Sofien Kaabar: two plots, each an arithmetic mean of EMAs of 1) high prices and 2) low prices, with periods 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, 987, 1597, 2584, 4181.
2. "Solarized" color scheme by Ethan Schoonover.
Fr3d0's Volume Profile Visible RangeLow level implementation
At the core of VPVR there’s a concept called “bucketization”.
Question : what is bucketization?
Answer : bucketization consists of identifying metrics with high predictive power and combine them appropriately.
I think this is a problem of bucketization because what the VPVR does is to take a price range, divide it into buckets and fill them up with the volume that was produced in each bucket’s range over the given period.
The more we divide our price range the finer the resolution, but also the less significant each bucket will become.
The steps are :
1. Get the price range with min and max over the give period;
2. Divide the range into buckets;
3. Loop over each candle of the given period and proportionally assign volume to one or more bucket.
Question : how to assign volume to buckets?
Answer : we need to calculate the right amount to add to each bucket for each candle. If 20% of a candle lies on a bucket then that bucket needs to have 20% of the volume of that candle, the rest 80% belongs to other buckets.
To get the percentage of a candle on a given bucket we have to find the price range of the candle contained within the bucket, then divide that amount by the entire length of the candle.
How to bucketize
Question : what are the formulas of A, B, C and Target respectively?
Answer :
- A = Max(candle_high, bucket_top) - Min(candle_low, bucket_bottom);
- B = Max(candle_high, bucket_top) - Min(candle_high, bucket_top);
- C = Max(candle_low, bucket_bottom) - Min(candle_low, bucket_bottom);
- Target = A - B - C.
Now that we now how to calculate the price range belonging to each bucket we need to calculate a percentage of volume to fill the bucket with.
The formula is trivially simple :
Volume * Target / (candle_high - candle_low).
Question : can we distinguish between buy volume and sell volume? If so, how?
Answer : yes we can and the following paragraph will teach you how.
Put it simply we can use the difference between the extremes of a candle (low and high) and its close price to get the buy and sell volumes.
The formulas for that are :
- Buy volume = Volume * (close - low) / (high - low);
- Sell volume = Volume * (high - close) / (high - low).
I know this is rather simplicistic but it makes sense.
Closing thoughts
This script is a working progress and I’m going to give more details if necessary, just let me know in the comments down below.
Qullamaggie Breakout V2After publishing the Qullamaggie Breakout script and seeing that it had some decent results, I wanted to explore it a bit further. There were a few things I didn't like about that methodology that didn't really jive with the way I like to trade. So what I did was combined the Breakout Trend Follower strategy I had been using for entries with the Qullamaggie strategy for trailing stops once in profit. The results seem pretty good to me and an approach that fits my personality and something I can actually trade. Typically better profit than the Breakout Trend Follower by giving more room for your winners to run, while still protecting your entries by moving up the trailing stop until you are in profit, all while taking less trades, so that's great.
Everything is done with stop orders. So you set your buy stop at the recent swing high point and wait for a breakout. Once in a position you set your sell stop at the recent swing low point. The most recent swing high and low are shown on the chart for easy reference with the blue and orange horizontal lines. Once in a trade, trail your sell stop after a new swing low is registered (shown by the thicker orange stop line). Once you are in profit, leave that hard stop level there (the orange line will stay there helping you). Now, you wait for price to cross a Moving Average of your choosing (default is Daily 10 MA). Once the bar crosses that moving average, you move your stop to the low of that candle (shown by the blue stop line) and trail your stop along every crossing of the moving average until the trend changes and takes out your stop. So managing this trade is pretty easy...just wait for the stop lines to move and move your stop with them. It's a great way to trade when you can't be at your computer all the time because the stop orders take care of execution on both buy and sell side. If you use a daily timeframe for your moving averages (the default), you really only need to move stops around about once a day, so is a good part time trader's strategy in my opinion.
The best opportunities will come by scanning for stocks in the longer term timeframe of your moving averages. Wait for a consolidation on that timeframe so the anticipated breakout has some room to run. Once you've identified a good candidate, zoom in to your lower timeframe where the swing highs/lows will act as your entry and exit points, all while keeping the moving averages consistent between timeframes.
Hope you guys find it useful.
A few options available:
- Choose any timeframe for your moving averages, while using swing high/low points on intraday charts.
- Choose one of two moving averages shown for your trailing stops (default 10 and 20 MA).
- Choose to use the third moving average as a filter for keeping you out of trades that are below it (trading with the trend).
- Use the charts resolution candle or the moving average resolution candle for the moving average trailing stop.
- Only take trades where your buy level minus stop level is below a % of the Average Daily Range (ADR). This allows you to potentially have better risk/reward. I added a little table that shows the ADR of the stock/ticker as well as the range between the recent buy and sell levels (shown by the orange and blue horizontal lines) for easy reference.
Detrended Rhythm Oscillator (DRO)How to detect the current "market beat" or market cycle?
A common way to capture the current dominant cycle length is to detrend the price and look for common rhythms in the detrended series. A common approach is to use a Detrended Price Oscillator (DPO). This is done in order to identify and isolate short-term cycles.
A basic DPO description can be found here:
www.tradingview.com
Improvements to the standard DPO
The main purpose of the standard DPO is to analyze historical data in order to observe cycle's in a market's movement. DPO can give the technical analyst a better sense of a cycle's typical high/low range as well as its duration. However, you need to manually try to "see" tops and bottoms on the detrended price and measure manually the distance from low-low or high-high in order to derive a possible cycle length.
Therefore, I added the following improvements:
1) Using a DPO to detrend the price
2) Indicate the turns of the detrended price with a ZigZag lines to better see the tops/bottoms
3) Detrend the ZigZag to remove price amplitude between turns to even better see the cyclic turns ("rhythm")
4) Measure the distance from last detrended zigzag pivot (high-high / low-low) and plot the distance in bars above/below the turn
Now, you can clearly see the rhythm of the dataset indicated by the Detrended Rhythm Oscillator including the exact length between the turns. This makes the procedure to "spot" turns and "measure" distance more simple for the trader.
How to use this information
The purpose is to check if there is a common rhythm or beat in the underlying dataset. To check that, look for recurring pattern in the numbers. E.g. if you often see the same measured distance, you can conclude that there is a major dominant cycle in this market. Also watch for harmonic relations between the numbers. So in the example above you see the highlighted cluster of detected length of around 40,80 and 120. There three numbers all have a harmonic relation to 40.
Once you have this cyclic information, you can use this number to optimize or tune technical indicators based on the current dominant cycle length. E.g. set the length parameter of a technical indicator to the detected harmonic length with the DRO indicator.
Example Use-Case
You can use this information to set the input for the following free public open-source script:
Disclaimer
This is not meant to be a technical indicator on its own and the derived cyclic length should not be used to forecast the next turn per se. The indicator should give you an indication of the current market beat or dominant beats which can be use to further optimize other oscillator or trading related settings.
Options & settings
The indicator allows to plot different versions. It allows to plot the original DPO, the DRO with ZigZag lines, the DRO with detrended ZigZag lines and length labels on/off. You can turn on or off these version in the indicator settings. So you can tweak it visually to your own needs.
Intrangle - Straddle / StrangleIntrangle is an indicator to assist Nifty / Bank Nifty Option Writers / Sellers to identify the PE / CE legs to Sell for Straddle and Strangle positions for Intraday.
Basic Idea : (My Conclusion for making this Indicator)
1) Last 10 Years data says Nifty / Bank Nifty More than 66% of times Index are sideways or rangebound (within 1% day) .
2) Mostly, First one hour high and low working as good support and resistance.
Once First one hour complete, this indicator will show Strangle High (CE), Strangle Low (PE) and Straddle (CE/PE).
Straddle:
If you want to do straddle strategy, sell at the money strike (CE/PE) when price comes near to the straddle line (black line),
Strangle:
If you want to do Strangle strategy, sell Strangle High (CE) and Strangle Low (PE) when price comes near to the straddle line (black line). Both Strangle High and Low will be out of the money when price near to the straddle line (black line).
Adjustment: option adjustment to be done based on the price movement. Adjustment purely up to the user / trader.
Note1: If price not comes to near straddle line after first hour, better to stay light…
Note2: If first hour not giving wide High / Low, don’t use strangle strike based on this indicator. Straddle can be done any day with require adjustment / hedge. This Indicator is purely for education purpose, user / trader has to be back-tested before their start using it.
This indicator will work in Nifty / Bank Nifty only. Best Time frames are 3/5/15 Mins. This is purely made for Intraday
Happy Trading 😊
Euler Cubes - CubᵋI give you the "Euler Cubes", inspired by the mathematical number 'e' (Euler's number).
It is suggested (fibonacci ratios analogy) that price/e ratio can give Support/Resistance area's.
The first cube is made by a low/high of choice, for example:
You set the 'source low'/'source high' in position:
Then you choose the 'e ratio' (x times 'e')
This multiplies the distance 'high-low' times '0.271828' times 'the set number' .
For example, choosing 5 gives 5 x 0.271828 = 1.35914, the distance 'high-low' hereby multiplied by 1.35914, the following cubes multiply the previous distance by 1.35914.
(Settings below 5 will give cubes smaller than the 'high-low' distance)
In the case of x times 'e' = 5:
You can extend the lines:
Now you can give it an angle:
Do mind, using it over very little bars and using an angle can cause some lines to not align as intended, because for now, it is not possible to plot in between bars.
There are also 'Euler' SMA and EMA available with following length's:
27, 54, 82,109, 136, 163, 190 and 217
Cheers!
ADX with SignalsThis indicator basicly usind ADX ( Average Directional Index )
ADX can show us how trend is strong
ADX below 20: the market is currently not trending
ADX crosses above 20: signifies that a new trend is emerging. Traders may start placing sell or buy orders in the direction of the price movement.
ADX between 20 and 40: When the ADX is growing between 20 and 40 it is considered as a confirmation of an emerging trend. Traders should use this opportunity to buy or short sell in the trend's direction.
ADX above 40: the trend is very strong.
ADX crosses 50: the trend is extremely strong.
ADX crosses 70: a very rare occasion, which is called a “Power Trend.”
If we use ADX with DI+ and DI+ indactor can tell us to buy.
How can we calculate this all?
Directional Movement (DI) is defined as the largest part of the current period’s price range that lies outside the previous period’s price range. For each period calculate:
+DI = positive or plus DI = High - Previous High
-DI = negative or minus DI = Previous Low - Low
The smaller of the two values is reset to zero, i.e., if +DI > -DI , then -DI = 0. On an inside bar (a lower high and higher low), both +DI and -DI are negative values, so both get reset to zero as there was no directional movement for that period.
The True Range ( TR ) is calculated for each period, where:
TR = Max of ( High - Low ), ( High -PreviousClose ), ( PreviousClose - Low )
The +DI , -DI and TR are each accumulated and smoothed using a custom smoothing method proposed by Wilder. For an n period smoothing, 1/n of each period’s value is added to the total each period, similar to an exponential smoothing:
+DIt = (+DIt-1 - (+DIt-1 / n)) + (+DIt)
-DIt = (-DIt-1 - (-DIt-1 / n)) + (-DIt)
TRt = (TRt-1 - (TRt-1 / n)) + ( TRt )
Compute the positive/negative Directional Indexes, +DI and -DI , as a percentage of the True Range:
+DI = ( +DI / TR ) * 100
-DI = ( -DI / TR ) * 100
Compute the Directional Difference as the absolute value of the differences: DIdiff = | (( +DI ) - ( -DI )) |
Sum the directional indicator values: DIsum = (( +DI ) + ( -DI )) .
Calculate the Directional Movement index: DX = ( DIdiff / DIsum ) * 100 . The DX is always between 0 and 100.
Finally, apply Wilder’s smoothing technique to produce the final ADX value:
ADXt = ( ( ADXt-1 * ( n - 1) ) + DXt ) / n
When indicator tell us to buy?
If when DI+ crosses DI- and ADX is bigger than DI- indicator tell us to buy.
