Multi Time Period Box Analysis v2 [ HDBhagat ]The "Multi Time Period Chart" indicator in Pine Script is designed to overlay multiple sets of boxes on the chart, each representing price movements on different timeframes. It allows traders to visually compare price action across various timeframes simultaneously. The indicator offers flexibility by allowing users to choose between automatic mode (where timeframes are selected based on predefined rules) or manually defining custom timeframes.
Key Features:
Multi-Timeframe Analysis: The indicator enables traders to analyze price action across multiple timeframes concurrently, facilitating a comprehensive view of market dynamics.
User-Defined Timeframes: Traders can customize the timeframes for each set of boxes according to their preferences. They have the option to choose between automatic mode, which selects timeframes based on predefined rules, or manually inputting custom timeframes.
Visual Representation: Price movements are visually represented by boxes drawn on the chart, with each box indicating the price range (from high to low) within a specific timeframe. The color of the boxes indicates whether the closing price is higher or lower than the opening price.
Dynamic Updates: The indicator dynamically updates the boxes as new price data becomes available. It ensures that the visualization remains accurate and reflects the most recent market conditions.
Customizable Styling: Traders can customize the appearance of the boxes, including color, border style, and text display. This allows for personalization to suit individual preferences and improve readability.
Efficient Resource Management: The script efficiently manages computing resources by only processing data when necessary, avoiding unnecessary calculations and reducing runtime errors.
Compatibility: The script is compatible with the Pine Script language on the TradingView platform, making it accessible to a wide range of traders who use this platform for technical analysis.
Overall, the "Multi Time Period Chart" indicator provides traders with a powerful tool for conducting multi-timeframe analysis, aiding in trend identification, pattern recognition, and decision-making in the financial markets.
"Pattern recognition"に関するスクリプトを検索
Bar ReplayThis indicator mirrors TradingView's bar replay feature to a certain extent, offering traders a streamlined way to analyze past market movements. It's a practical tool for strategy testing, pattern recognition, and refining trading approaches.
While it may have some limitations, it offers a practical solution for strategy testing and refining trading approaches for free and gets the job done. After all, having a tool is better than having none.
This is just an experiment so don't take it that seriously. I hope you guys find it useful.
If you have some ideas for improvement or found any bugs, kindly let me know.
How to use it?
Step 1 : Add the indicator to the chart.
Step 2 : Select the candle .
Step 3 : Make the changes visible.
Step 4 : How to Navigate
Step 5 : Change the date easily
The blank screen issue.
Note : There are some limitations
The data is limited to the free plan.
It's not smooth as the real Bar replay feature.
I haven't checked the bugs so let me know if you found any.
Relative VolumeHello traders,
"There's nothing new on Wall Street" is an age-old saying that still shows its relevance in modern day financial markets; volume still serves as a valuable tool for any trader just as it did for those that came and succeeded before us; in order to succeed in modern day markets one has to take it up a notch and dabble in complicated topics, like math. Now I dunno about you reader but I’m not keen on sitting around all day just to watch numbers on a screen; it’s pretty important to add some color into your life before it becomes dull but how can someone add colors into their trading toolkit as an aid rather than bother? With a bit of help from 3 other amazing open-source indicators you too can become a statistics enjoyer by combining math and colors to make pattern recognition much more intuitive and offering more peace of mind when trading. “Sir but how?”, glad you didn’t ask, it helps with simplifying statistics, in this case a Gaussian bellcurve
“HUH?”, you say? Alright class, Gaussian bellcurves for math dislikers 101 is in session
- Imagine that we have a bunch of numbers that we want to graph. We could just draw a line and plot the numbers on it, but that might not be very interesting.
- Instead, we can use the shape of a bell to show how many of each number we have.
- Let's say we have a lot of people and we want to graph how tall they are. We would start by making a line from the shortest person to the tallest person, and then we would draw the bell shape around the line.
- The bell shape is called a "Gaussian Bell Curve," and it shows us how many people are a certain height.
- In the middle of the bell, where it's the widest, we have the most people who are about average height. As we move to the sides of the bell, the curve gets lower because there are fewer people who are really tall or really short.
The bell curve discussed is the main idea for the candle coloring component of this indicator as being able to analyze the distribution of an entire dataset, in this case volume, can alert us when volume/participation in the market is away from its average using color, and therefore an opportunity could be present. Fair warning, it’s important to not strictly focus on volume as volume is meant to be confluence to the current structure of the market rather than causing tunnel vision.
Why 3 indicators to combine?
It starts with the RVOL by Mik3Christ3ns3n indicator as the backbone by calculating the average volume over a specified period of time, and then compares each new volume value to this average to determine whether it is above or below the average. The indicator then normalizes the volume data and calculates the z-score/standard deviation to determine whether the volume is within normal range or is an anomaly beyond a specified threshold which can also be set into an alert to aid in eyeing possible opportunities.
The code also includes Candle Coloring by Morty as it calculates a function to get the z-score for the size of the candle's body, and then compares it to the z-score for volume to determine whether the body size is a factor in the price action.
Finally, the code plots the anomalies and the normalized volume data on the chart using the first RVOL indicator mentioned, and colors the bars of the chart based on whether they are within normal range or are anomalies which comes from using code from veryfid's relative volume indicator.
Overall, this custom technical indicator is best used to identify unusual changes in trading volume, which may indicate potential price movements in the underlying.
How about some examples?
This first example is for my scalpers wanting to get in and out but not having much of an idea where or let alone how; using a tool like VWAP can be great for determining the area value to execute mean reversion trades once a speculator spots a colored candle anomaly at standard deviation band. Works best when VWAP is flat as it signals lack of conviction from both bulls and bears
This second example is for my fire and forget intraweek swing traders who want to execute a higher timeframe trend-following bias. A speculator starting 2023 off notices that the negative sentiment around Binance from late last year has quieted down and has conviction in upside after BTC began an uptrend as monthly VWAP (right chart) has began sloping up as well as a rally with momentum shown with the blue colored candle so the trader waits wait for a pullback for entry. On the chart to the left of the 4H the speculator notices a pullback into the area of interest to do business so a limit bid is left to enter for continued upside in Bitcoin through January 2023 just by keeping things simple
That’s really the main purpose of this indicator: simplicity of statistics for confluence using volume
Volume precedes price and price moves only for narrative to follow- why wait for your subjective Twitter timeline to give you a biased narrative to trade when you can use objective analysis by combining statistics and colors to allow for a cleaner execution process
“But what about risk management?” Glad you didn’t ask reader!
One last example then, we meet our trend following trader again feeling euphoric so they know profit taking season is coming soon but wants to leave emotion out of it. How to go about it? Same idea as our last trend following example: we see on the 4h chart to the right side shows Bitcoin lose and trade back within the 2nd standard deviation of quarterly VWAP which is telling our speculator that the uptrend has broken on top of which notices on the 30 minute chart on the left that aggressive market buyers have been steadily absorbed by limit sellers on multiple occasions of retesting 30,500 shown with the green colored candles and volume bars below, time to sell.
Turns out that selling was proactive risk management because price dumped thereafter
Hope this explanation gave you some useful insights on using statistics as colors from cherrypicked examples, remember that just because my examples are cherrypicked doesn’t invalidate these concepts at all as the market only does two things, initiate aggressive auctions and respond passively to auctions. This tool makes for seeing where that initiative aggressive activity is happening much simpler to deduce if others will respond to an anomaly of initiative aggressive activity or if the aggression will continue.
If there’s just one thing you take from this- simplicity above all, cheers and good luck
DB KCBB%D Wave SignalsDB KCBB%D Wave Signals
What does the indicator do?
This indicator is a version of my DB KCBB%D indicator updated with signal detection. It results from weeks of analysis of the KCBB%D waves for patterns. I'm releasing it publicly to help those who like the KCBB%D indicator but desire a version with signals built into it.
The indicator plots the percent difference between the low and high prices against a combined Kelpler Channel Bollinger Bands for the current timeframe. The low percent difference and the high percent difference each have their own waves plotted. A mirror mode default allows both waves to be visualized in a mirrored plot that clearly shows when outer bands are present and when they swap. Each percent difference band is displayed with a 1 bar lookback to visualize local tops/bottoms.
The overall trend is displayed using two sets of green/red colors on the percent difference waves so that each wave is recognizable, but the overall price trend is visible. A fast 3 SMA is taken of each percent difference wave to obtain the overall trend and then averaged together. The trend is then calculated based on direction from the previous bar period.
How should this indicator be used?
By default, the indicator will display in a mirror mode which will display both the low and high percent change waves mirrored to allow for the most pattern recognition possible. You will notice the percent difference waves swap from inner to outer, showing the overall market direction for that timeframe. When each percent difference wave interacts with the zero line, it indicates either buys or sells opportunities depending on which band is on the inside. When the inner wave crosses zero, special attention should be paid to the outer wave to know if it's a significant move. Likewise, when the outer wave peaks, it can indicate buy or sell opportunities depending on which wave is on the outside.
A zero line and other lines are displayed from the highest of the high percent difference wave over a long period of time. The lines can measure movement and possible oversold/overbought locations or large volatility . You can also use the lines for crossing points for either wave as alerts to know when to buy or sell zones are happening.
When individual percent difference waves are designed to be reviewed without mirroring, the mirror checkbox can be unchecked in the settings. Doing so will display both the high and low percent difference waves separately. Using this display, you can more cleanly review how each wave interacts with various line levels.
For those who desire to only have half of the mirror or one set of waves inverted against each other, check the "mirrored" and the "mirrored flipped" checkboxes in the settings. Doing so will display the top half of the mirror indicator, which is the low percent difference wave with the high percent difference wave inverted.
The indicator will also change the background color of its own pane to indicate possible buy/sell periods (work in progress).
Does the indicator include any alerts?
Yes, they are a work in progress but starting out with this release, we have:
NOTE: This is an initial release version of this indicator. Please do not use these alerts with bots yet, as they will repaint in real-time.
NOTE: A later release may happen that will delay firing the events until 1/2 of the current bar time has passed.
NOTE: As with any indicator, watch your upper timeframe waves first before zooming into lower.
DB KCBB%D Buy Signal
DB KCBB%D Buy Warning Signal
DB KCBB%D Sell Signal
DB KCBB%D Sell Warning Signal
DB KCBB%D Death Cross Sell Signal
DB KCBB%D Trend Up Alert
DB KCBB%D Trend Down Alert
Use at your own risk and do your own diligence.
Enjoy!
DB KCBB%D WavesDB KCBB%D Waves
What does the indicator do?
The indicator plots the percent difference between the low and high prices against a combined Kelpler Channel Bollinger Bands for the current timeframe. The low percent difference and the high percent difference each have their own waves plotted. A mirror mode default allows both waves to be visualized in a mirrored plot that clearly shows when outer bands are present and when they swap. Each percent difference band is displayed with a 1 bar lookback to visualize local tops/bottoms.
The overall trend is displayed using two sets of green/red colors on the percent difference waves so that each wave is recognizable, but the overall price trend is visible. A fast 3 SMA is taken of each percent difference wave to obtain the overall trend and then averaged together. The trend is then calculated based on direction from the previous bar period.
How should this indicator be used?
By default, the indicator will display in a mirror mode which will display both the low and high percent change waves mirrored to allow for the most pattern recognition possible. You will notice the percent difference waves swap from inner to outer, showing the overall market direction for that timeframe. When each percent difference wave interacts with the zero line, it indicates either buys or sells opportunities depending on which band is on the inside. When the inner wave crosses zero, special attention should be paid to the outer wave to know if it's a significant move. Likewise, when the outer wave peaks, it can indicate buy or sell opportunities depending on which wave is on the outside.
A zero line and other lines are displayed from the highest of the high percent difference wave over a long period of time. The lines can measure movement and possible oversold/overbought locations or large volatility. You can also use the lines for crossing points for either wave as alerts to know when to buy or sell zones are happening.
When individual percent difference waves are designed to be reviewed without mirroring, the mirror checkbox can be unchecked in the settings. Doing so will display both the high and low percent difference waves separately. Using this display, you can more cleanly review how each wave interacts with various line levels.
For those who desire to only have half of the mirror or one set of waves inverted against each other, check the "mirrored" and the "mirrored flipped" checkboxes in the settings. Doing so will display the top half of the mirror indicator, which is the low percent difference wave with the high percent difference wave inverted.
The indicator will also change the background color of its own pane to indicate possible buy/sell periods (work in progress).
Does the indicator include any alerts?
Yes, they are a work in progress but starting out with this release, we have:
NOTE: This is an initial release version of this indicator. Please do not use these alerts with bots yet, as they will repaint in real-time.
NOTE: A later release may happen that will delay firing the events until 1/2 of the current bar time has passed.
NOTE: As with any indicator watch your upper timeframe waves first before zooming into lower.
DB KCBB%D Buy Zone Alert
DB KCBB%D MEDIUM Buy Alert
DB KCBB%D STRONG Buy Alert
DB KCBB%D Sell Alert
DB KCBB%D STRONG Sell Alert
DB KCBB%D Trend Up Alert
DB KCBB%D Trend Down Alert
Use at your own risk and do your own diligence.
Enjoy!
1+KillZoneLiteRemove plot line for a better view. I've made this to work on "US30 Global Prime" probably works on other pairs the codes left open to mod.
This Indicator shows 3 sessions to help you focus on timing. This will help you with learning pattern recognition aswell.
1. Gray zone is spreads. The gray zone will show up 30 min before spreads open up.
2. Blue is new york
3. Red is london reversal zone.
4. Look between the zones and also how price reacts within the zones and at what time.
5. This indicator also prints the sessions 1 day in advance to help with back testing aswell.
MACD-V Volatility Normalized MomentumFull Credit to Alex Spiroglou, DipTA(ATAA), CFTe, and author of the MACD-V.
papers.ssrn.com
Alex recently received the CMT Dow Award for his work to improve on the classic MACD indicator. The MACD-V tackles some obvious challenges with the classic MACD indicator, which is normally an unbounded indicator and inconsistent between different symbols and markets.
"Our goal is to improve an existing tool (MACD), so that - by eliminating its shortcomings - we will be creating a unique type of hybrid 'boundless oscillator', that opens the doors for several pattern recognition opportunities which would not be definable using the classic MACD."
When the oversold/overbought range of 150 and -150 was determined, Alex tested where 95% of the data fell within the bands using the S&P price history as reference. Users are encouraged to find ranges relevant to the securities/instruments they are analyzing.
Enjoy!
Wedge and Flag Finder (Multi - zigzag)Here is a small attempt to automatically identify wedges and flags.
Tradingview standard wedge checks for only 4 pivots. In this version, I have considered 5 pivots instead - which can help reduce noise as 4 pivots forming wedge can be quite common. In future, will also try to add more pivots in pattern recognition to make the signal more accurate.
If wedge comes with a tail, then it is marked as flag :)
Settings are quite simple and they are as shown below
FunctionPatternDecompositionLibrary "FunctionPatternDecomposition"
Methods for decomposing price into common grid/matrix patterns.
series_to_array(source, length) Helper for converting series to array.
Parameters:
source : float, data series.
length : int, size.
Returns: float array.
smooth_data_2d(data, rate) Smooth data sample into 2d points.
Parameters:
data : float array, source data.
rate : float, default=0.25, the rate of smoothness to apply.
Returns: tuple with 2 float arrays.
thin_points(data_x, data_y, rate) Thin the number of points.
Parameters:
data_x : float array, points x value.
data_y : float array, points y value.
rate : float, default=2.0, minimum threshold rate of sample stdev to accept points.
Returns: tuple with 2 float arrays.
extract_point_direction(data_x, data_y) Extract the direction each point faces.
Parameters:
data_x : float array, points x value.
data_y : float array, points y value.
Returns: float array.
find_corners(data_x, data_y, rate) ...
Parameters:
data_x : float array, points x value.
data_y : float array, points y value.
rate : float, minimum threshold rate of data y stdev.
Returns: tuple with 2 float arrays.
grid_coordinates(data_x, data_y, m_size) transforms points data to a constrained sized matrix format.
Parameters:
data_x : float array, points x value.
data_y : float array, points y value.
m_size : int, default=10, size of the matrix.
Returns: flat 2d pseudo matrix.
Advanced Bollinger Bands StrategyAdvanced Bollinger Bands Strategy
Why is it an advanced Bollinger Bands Strategy?
The purpose of Bollinger Bands is to provide a relative definition of high and low prices of a market. By definition, prices are high at the upper band and low at the lower band. This definition can aid in rigorous pattern recognition and is useful in comparing price action to the action of indicators to arrive at systematic trading decisions. Adding a Moving Average filter which only allows trades if MA and Price are outside of the BB increases the probability of profitable trades with the sacrifice of a lower trade-frequency.
Inputs for Bollinger Bands
-> BB Source
-> BB Length
-> BB Multiplier
-> Moving Average Period
-> Moving Average Source
-> Strategy Condition Options:
-> Exit Trades if Price crosses Basis Line
-> Enable Moving Average Filter
function: Array DownsamplingA low cost function to down sample a array.
specially useful for pattern recognition algorithms.
Regularized MomentumThis is a 1 bar momentum using a regularized ema (Chris Satchwell, Pattern Recognition And Trading Decisions pag.192) with a limit lambda (John F. Ehlers Cybernetic Analysis for Stocks and Futures pag.188), some say that is better than macd.
[RS]Simple ZigZag V3EXPERIMENTAL:
optional:
custom timeframe
custom fib ab_extension/bc_retrace zone
Display base zigzag
Display zigzag
Display Tops and Bottoms Lines
Display Fib. Ret./Ext.
Display Pattern Recognition
[RS]ZigZag (MA, Pattern Recognition) V2EXPERIMENTAL:
Best method so far to draw the zigzag.
Multi time frame options
