[potatoshop] Volume Profile lower timeframeThis script is a volume profile that displays the volume of transactions in price blocks over a recent period of time.
For a more detailed representation, OHCLV values on the time frame lower than the time zone on the chart were called and expressed.
Low time frames are adjustable.
You can adjust the number of blocks and the most recent time period that you want to view.
Although it cannot be compared to the volume indicators provided for paid users of Trading-View, it has functioned by displaying transactions that are difficult to find on open source.
Displays the amount traded in each block and the percentage of the total over a given period.
POC represents the middle value of the block with the highest transaction volume as a line.
TPOC represents the block that stayed the longest regardless of the volume of transaction.
The reversal line appears when you determine the trading advantage of the rising and falling closing on a block basis and then have a different value from the neighboring blocks.
(I didn't mean it much, but I just put it in for fun.)
It represents the total volume of transactions traded in each block, and there are also check boxes in the settings window that represent the volume of transactions that closed higher and closed lower.
You can specify the color of each block.
The highest and lowest values for the set period and the total sum of each block are displayed at the bottom of the box.
Because it was made using a lot of arrays, the total transaction volume was marked separately to check the value.
When expressing the price block according to the trading volume percentage, it was a pity that the minimum pixel was 1 bar, so it could not be expressed delicately.
Although set to bar_time in Box properties xloc, 1 bar was actually the minimum unit of the X-axis value.
The logic used to place the transaction volume for each block is as follows.
1. Divide the difference between the high and low values of 1 LTF bar by the transaction volume .
2. Find the percentage of this LTF bar within each block.
3. Multiply the ratio by the transaction volume again.
4. Store the value in each block cell.
Below are the codes of the people I referred to this time.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
The script is for informational and educational purposes only.
이 스크립트는 최근 일정 기간동안의 거래량을 가격 블록단위로 표시해 주는 볼륨 프로화일입니다.
좀 더 자세한 표현을 위해 차트상의 시간대보다 낮은 시간 프레임상의 OHCLV 값들을 호출하여 표현하였습니다.
낮은 시간 프레임은 조절 가능합니다..
보고 싶은 최근 일정 기간과 블럭 갯수를 조절할 수 있습니다.
트뷰 유료 사용자들을 위해 제공하는 지표와는 비교할 수는 없지만, 오픈 소스상에서는 찾기 힘든 거래량을 표시해 기능을 넣었습니다.
각 블럭에서 거래되었던 양 과 주어진 기간 동안의 총량 대비 퍼센트를 표시해 줍니다.
POC는 거래량이 가장 많았던 블럭의 중간값을 라인으로 표현해 줍니다.
TPOC는 거래량에 상관없이 가장 오랜 시간 머물렸던 블럭을 표현해 줍니다.
반전선은 블럭 단위로 상승 마감과 하락 마감의 거래량 우세를 결정한 뒤, 이웃 블럭들하고 다른 값을 가질 때 나타납니다.
(어떤 뜻을 갖고 만든 건 아니고 그냥 재미로 넣어 보았습니다.)
각 블럭에서 거래되었던 총거래량을 표현해 주며, 또한 설정창에서 상승 마감한 거래량과 하락 마감한 거래량을 표현하는 체크 박스가 있습니다.
각 블럭의 색깔을 지정하실 수 있습니다.
설정된 기간 동안의 최고값과 최저값, 각 블럭을 합친 총량을 박스 하단에 표시해 두었습니다.
어레이를 많이 사용하여 만들었기 때문에 값의 확인을 위해 전체 거래량을 따로 표시하였습니다.
가격 블럭을 거래량 퍼센트에 따라 표현할 때, 최소 픽셀이 1bar 이어서 섬세하게 표현 할 수 없어 안타까웠습니다.
박스 속성을 xloc.bar_time 로 설정하였지만 실제로는 1 bar가 X축 값의 최소 단위였습니다.
각 블록 별로 거래량을 배치 할 때 쓰인 로직은 다음과 같습니다.
1. 1 LTF bar의 하이 와 로우 값의 차이를 거래량으로 나누어 줍니다.
2. 각 블록 안에서 이 LTF bar가 차지 하는 비율을 구합니다.
3. 그 비율에 다시 거래량을 곱해 줍니다.
4. 그 값을 각 블록 셀에 저장해 줍니다.
밑에 제가 이번에 참고한 분들의 코드들입니다.
1. ‘Time & volume point of control (TPOC & VPOC)’ by quantifytools
2. ‘Volume Profile ’ by LuxAlgo
3. ‘Volume Profile and Volume Indicator by DGT’ by dgtrd
Поиск скриптов по запросу "volume indicator"
Tick StrategyTick Strategy:
Questions many pine coders/traders have is, How to enter/exit trade as soon as trade condition is met i.e. do not wait till candle completion to enter/exit the trade. This strategy will help you to understand one of the way to achieve it.
This is an educational strategy to demonstrate, how one can trade based on tick data. This being a strategy based on tick data, it can be tested only on real time candles. This strategy will not take any trades on historical candles and cannot be used for back testing. All the strategy trades taken on real time candles will disappear (repainting) once chart is refreshed and new trades will be entered on real time candles.
The strategy will do nothing during off market hours and will not take any trades.
The strategy has been designed based on rules/inputs below:
1. Count the ticks from start of a candle till end of candle
2. Bifurcate ticks as up-ticks and down-ticks. If tick price is above previous tick price the tick is considered as up-tick and vice versa
3. Count the successive up-ticks and successive down-ticks
Strategy rules:
1. Track candle type (green or red) continuously on each tick (green candle is when latest tick price > previous tick price)
2. Take a long trade if work in progress (WIP) candle is green candle and we get successive up-ticks equal to user input ticks for trade
3. Take a short trade if work in progress (WIP) candle is red candle and we get successive down-ticks equal to user input ticks for trade
4. Exit the trade when we get successive ticks equal to user input ticks in opposite direction
5. Optionally for trade entry, user can decide whether to calculate successive up-ticks/down-ticks from beginning of candle or successive up-ticks/down-ticks anytime during the candle formation
6. Optionally for trade exit/square off, user can decide whether to apply exit rules on the entry candle or only from subsequent candle
Strategy setting:
1. '' – This is just to describe when trades are entered. This parameter is not used for any calculation
2. 'No of successive ticks to enter the trade' – User input to decide, number of successive ticks for trade entry
3. 'Count successive ticks for trade only from start of candle' – check this to count successive ticks only from beginning of a candle
4. 'Exit if succussive ticks in opposite direction' - User input to decide, number of successive ticks in opposite direction for exiting the trade
5. 'Apply exit criteria on entry candle' – check to allow exit of trade on the entry candle, if un-checked, trade will not be exited on the entry candle i.e. opposite direction ticks will be counted from subsequent candle
Information below will be displayed continuously on the chart:
1. Candle no – Candles are counted from start of the trading session. This is current candle being formed on the chart
2. Candle now – This shows either ‘Green’ or ‘Red’ based on type of candle being formed
3. Tick count – This is current tick number being processed. Tick number starts from 1 for each new candle
4. Up-tick count – Number of up-ticks during formation of current candle
5. Down-tick count – Number of down-ticks during formation of current candle
6. Successive up-ticks – Current successive up-tick count
7. Successive down-ticks – Current successive down-tick count
8. Up-tick volume – Volume associated with up-ticks
9. Down-tick volume – Volume associated with down-ticks
10. Up-tick volume % - This is % of volume associated with up-ticks
11. Total volume – Candle volume till now. (Some times you might observe small difference between total volume and the volume shown by volume indicator. The difference could be because of refresh rate of your screen)
12. Candle completion % - This shows current candles completion %. This is candle progress from start of candle till close of candle
scalping with market facilitationThis strategy is for scalping low timeframes for 10 pips. I have yet to see a strategy with this unique combo of indicators.
First we have volume indicator market facilitation, where we are looking for volume and mfi to be up, then we want the adx 5 to be above level 30 and above its ema period 3, then if these conditions are good we take shorts when ema 8 is below ema 100 and longs when ema8 is above ema 100 with parabolic sar in its propet place, also to verify trend we have obv over or under its ema of 55 and macd line over its signal line.
I have heikenashi bars on with the regular priceline showing so j see actual price levels, when i get a buy signal i set a buystop above the high of that bar and have a stoploss of 7.5 pips and a take profit of 10 pips, reverse for sells, i have to use metatrader to trade so i use this as my signals to trade.
Note this is not advice trade at your own risk no guarantees in anything in life, but i wanted to share this for it is helping me with my trades to be more strict and semi mechanical. I use it for forex time frames 1 3 5 15 mjn
Everything Bitcoin [Kioseff Trading]Hello!
This script retrieves most of the available Bitcoin data published by Quandl; the script utilizes the new request.security_lower_tf() function.
Included statistics,
True price
Volume
Difficulty
My Wallet # Of Users
Average Block Size
api.blockchain size
Median Transaction Confirmation Time
Miners' Revenue
Hash Rate
Cost Per Transaction
Cost % of Transaction Volume
Estimated Transaction Volume USD
Total Output Volume
Number Of Transactions Per Block
# of Unique BTC Addresses
# of BTC Transactions Excluding Popular Addresses
Total Number of Transactions
Daily # of Transactions
Total Transaction Fees USD
Market Cap
Total BTC
Retrieved data can be plotted as line graphs; however, the data is initially split between two tables.
The image above shows how the requested Bitcoin data is displayed.
However, in the user inputs tab, you can modify how the data is displayed.
For instance, you can append the data displayed in the floating statistics box to the stagnant statistics box.
The image above exemplifies the instance.
You can hide any and all data via the user inputs tab.
In addition to data publishing, the script retrieves lower timeframe price/volume/indicator data, to which the values of the requested data are appended to center-right table.
The image above shows the script retrieving one-minute bar data.
Up arrows reflect an increase in the more recent value, relative to the immediately preceding value.
Down arrows reflect a decrease in the more recent value relative to the immediately preceding value.
The ascending minute column reflects the number of minutes/hours (ago) the displayed value occurred.
For instance, 15 minutes means the displayed value occurred 15 minutes prior to the current time (value).
Volume, price, and indicator data can be retrieved on lower timeframe charts ranging from 1 minute to 1440 minutes.
The image above shows retrieved 5-minute volume data.
Several built-in indicators are included, to which lower timeframe values can be retrieved.
The image above shows LTF VWAP data. Also distinguished are increases/decreases for sequential values.
The image above shows a dynamic regression channel. The channel terminates and resets each fiscal quarter. Previous channels remain on the chart.
Lastly, you can plot any of the requested data.
The new request.security_lower_tf() function is immensely advantageous - be sure to try it in your scripts!
MY:Aggregated Volume BTC:DERIVATIVES█ MY Aggregated Volume BTC DERIVATIVES
This indicator shows a panel to display the Bitcoin Trading Volume of different exchanges. A lot of traders follow the default volume indicator provided by tradingview. This default indicator shows the volume for the current ticker (example BTCUSD:BITSTAMP), but each exchange has its own volume.
In a matter of visibility and accessibility, I've decided to aggregate the volume of almost all the Bitcoin exchanges (tickers) in tradingview.
This indicator helps identifying decreasing volume, where the volume comes from (spot or derivatives). A decreasing DERIVATIVES volume isn't a good sign as it shows a decrease in the buying pressure.
The panel has 1 main configuration : Display mode, showing Aggregated (all exchanges in one bar) or Difference (Stacked bar)
The other configuration Legend Item Gap and Legend X Gap is for when the difference mode is selected. It affects the position of the legend. Some might have smaller screens, bigger screens, viewport zoomed in etc.
Due to the number of exchanges, and pinescript limitations, I had to split the volume in 2 indicators, the SPOT volume, and the DERIVATIVES volume. The script in this page is specific to the DERIVATIVES volume. For the SPOT, please refer to my other available script.
Exchange list :
// OKEX:BTCUSDPERP
// OKEX:BTCUSDTPERP
// FTX:BTCPERP
// BTSE:BTCPFC
// KRAKEN:XBTUSDPERP
// BITMEX:XBTUSD
// HUOBI:BTCPERP
// DERIBIT:BTCPERP
// BINANCE:BTCPERP
// BINANCE:BTCUSDTPERP
// PHEMEX:BTCUSD
// BITGET:BTCUSDPERP
// BITGET:BTCUSDTPERP
Net VolumeNet Volume, or NV in short, is a cumulative volume indicator similar to OBV and A/D. Though it might look similar to these two indicators (especially A/D), rest assured it's better and more accurate than both. What it basically does, is dividing the volume session into buyers and sellers volumes; then subtracts former from the latter and adds the result to previous session's net volume (In the script, these two intermediate volumes are not calculated and only the subtraction is formulated in an integrated form).
Another important difference between NV and A/D indicator, is that it brings price gaps into account. That's why it requires next session's open price to calculate current session's NV. What it actually mean is that the price gap, in either direction, is the result of the traders' efforts in respective direction in previous session, as if the current session closes where next session opens.
RSI Support & Resistance by DGTRSI Sᴜᴘᴘᴏʀᴛ & Rᴇꜱɪꜱᴛᴀɴᴄᴇ ʙʏ DGT
This experimental study attempts to translate Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones as probable Price Support and Resistance levels
█ OPTIONS
Support & Resistance Levels , the main aim of the study. Level calculations are based on Relative Strength Index (RSI) threshold levels of oversold/overbought and bull/bear zones, where all threshold values are customizable through the user dialog box. Background of the levels can be colored optionally
RSI Weighted Colored Bars and/or Mark Overbought/Oversold Bars , Bar colors can be painted to better emphasis RSI values. Darker colors when the oscillator is in oversold/overbought zones, light colors when oscillator readings are below/above the bull/bear zone respectively, and remain unchanged otherwise. Besides the colors, with “Display RSI Overbought/Oversold Price Bars” option little triangle shapes can be plotted on top or bottom of the bars when RSI is in oversold/overbought zones
Example usage of the study with explanations
█ OTHERS
More regarding Support & Resistance concept (definition, identifying levels, trading S&R, etc) you are kindly invited to check my previous publication
Price Action - Support & Resistance by DGT
More regarding Relative Strength Index (RSI) and Relative Strength of Volume Indicators , please check Relative Strength of Volume Indicators by DGT
Disclaimer:
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
The script is for informational and educational purposes only. Use of the script does not constitute professional and/or financial advice. You alone have the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Estimated Up Down VolumeThis indicator plot estimated Up volume and Down volume.
Adjust colors to the default volume indicator.
Bollinger Bands Strategy with Intraday Intensity IndexFor Educational Purposes. Results can differ on different markets and can fail at any time. Profit is not guaranteed.
This only works in a few markets and in certain situations. Changing the settings can give better or worse results for other markets.
This is a mean reversion strategy based on Bollinger Bands and the Intraday Intensity Index (a volume indicator). John Bollinger mentions that the Intraday Intensity Index can be used with Bollinger Bands and is one of the top indicators he recommends in his book. It seems he prefers it over the other volume indicators that he compares to for some reason. III looks a lot like Chaikin Money Flow but without the denominator in that calculation. On the default settings of the BBs, the III helps give off better entry signals. John Bollinger however is vague on how to use the BBs and it's hard to say if one should enter when it is below/above the bands or when the price crosses them. I find that with many indicators and strategies it's best to wait for a confirmation of some sort, in this case by waiting for some crossover of a band. Like most mean reversion strategies, the exit is very loose if using BBs alone. Usually the plan to exit is when the price finally reverts back to the mean or in this case the middle band. This can potentially lead to huge drawdowns and/or losses. Mean reversion strategies can have high win/loss ratios but can still end up unprofitable because of the huge losses that can occur. These drawdowns/losses that mean reversion strategies suffer from can potentially eat away at a large chunk of all that was previously made or perhaps up to all of it in the worst cases, can occur weeks or perhaps up to months after being profitable trading such a strategy, and will take a while and several trades to make it all back or keep a profitable track record. It is important to have a stop loss, trailing stop, or some sort of stop plan with these types of strategies. For this one, in addition to exiting the trade when price reverts to the middle band, I included a time-based stop plan that exits with a gain or with a loss to avoid potentially large losses, and to exit after only a few periods after taking the trade if in profit instead of waiting for the price to revert back to the mean.
Freedom of MovementFreedom of Movement Indicator
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In “Evidence-Based Support & Resistance” article, author Melvin Dickover introduces two new indicators to help traders note support and resistance areas by identifying supply and demand pools. Here you can find the support-resistance technical indicator called "Freedom of Movement".
The indicator takes into account price-volume behavior in order to detect points where movement of price is suddenly restricted, the possible supply and demand pools. These points are also marked by Defended Price Lines (DPLs).
DPLs are horizontal lines that run across the chart at levels defined by following conditions:
* Overlapping bars: If the indicator spike (i.e., indicator is above 2.0 or a custom value) corresponds to a price bar overlapping the previous one, the previous close can be used as the DPL value.
* Very large bars: If the indicator spike corresponds to a price bar of a large size, use its close price as the DPL value.
* Gapping bars: If the indicator spike corresponds to a price bar gapping from the previous bar, the DPL value will depend on the gap size. Small gaps can be ignored: the author suggests using the previous close as the DPL value. When the gap is big, the close of the latter bar is used instead.
* Clustering spikes: If the indicator spikes come in clusters, use the extreme close or open price of the bar corresponding to the last or next to last spike in cluster.
DPLs can be used as support and resistance levels. In order confirm and refine them, FoM (Freedom of Movement) is used along with the Relative Volume Indicator (RVI), which you can find here:
Clustering spikes provide the strongest DPLs while isolated spikes can be used to confirm and refine those provided by the RVI. Coincidence of spikes of the two indicator can be considered a sign of greater strength of the DPL.
More info:
S&C magazine, April 2014.
Dynamic Money Flow with color switch [aamonkey]"Dynamic Money Flow is a volume indicator based on Marc Chaikin's Money Flow with a few improvements.
It can be used to confirm break-outs and trends." (RezzaHmt)
This is the script from RezzaHmt called "Dynamic Money Flow".
All I did is the color change of the line because I find it easier to read that way.
Here you can find the original script explaining the theory behind this indicator:
R100 Wave v2 (*v*)This is a Wave (or Zig Zag) indicator I made to use in conjunction with the Wave Volume indicator I use.
It uses the Jurik moving average to determine turning points, and will plot the tops and bottoms of the wave based on the most recent high- so you can also use to quickly find pivot highs and lows. If you are using with the R100 Wave Volume indicator, first adjust the wave to fit better (if required) using the Jurik length and/or power, and then use the same settings on the Wave Volume indicator. Default settings work pretty well for most stocks, but adjusting the length between 8 and 14 should be enough for a good fit, or adjust the power between 1 and 3, or get fussy and tweak it with both.
The Jurik MA has been modified to include a VWAP component, so will only work where you have volume. The last "leg" of the wave will move about until the next pivot high or low is found and then will remain fixed.
I hope you find some value with it. Only conditions of use are that if you improve it, let me know and if you publish something that uses it, don't hide the code! Enjoy!
Code pinched and modified from Zero Lag ZigZag by Duyck - thankyou
Jurik Moving Average (for turning points) by Everget - thankyou
and Weis Wave by Modhelius - thankyou
Better X-Trend /Better Volume Paint BarThese are Emini-Watch's free indicators, Better X-Trend and Better Volume paint bar.
For more information go to:
emini-watch.com emini-watch.com
Volume Balance Indicator Stealthy7Find out if Bulls (buys) or Bears (sells) are moving the price. This gives a clear view of activity, even if you are using a higher time period. The lookback is in minutes, I believe. This is a superior volume indicator. Bars are recolored to show the underlying activity per the look back (minutes).
Normalized VolumeA simple study of normalized volume. Normalizing the volume can sometimes make it easier to see when it is above average. Normalizing volume in this way portrays the total volume as a percentage above or below the moving average chosen. By this method, its output number is the percentage above 100% or below 100% (ie. a value of 110 really means the day's volume is 10% greater than the moving average.)
I have also included a monochrome option, that I prefer on my charts as well as a rising/falling (1 period) indication on the moving average, which I have defaulted to 9 periods (fully customizable).
For me, displaying the moving average rising/falling makes sense as oftentimes when the volume flow changes direction, it heralds an end or pause in the move.
The default settings are for normalization off, and monochromatic display. Check their respective boxes for your preferred view.
I sincerely hopes this helps any fans of volume indicators.
And as always, trade responsibly, I am not responsible for gains/losses incurred and make no claim to authorship of this idea.
Good Trading folks, enjoy.
Shiroki
Volume CCIHere simply calculate the CCI of the volume, this will use to measure the strength of the trend of the volume
Background:
I think the volume as the price could be represented by candles or other graphic to use indicators and strengthen their analysis, due to lack of registration of this it is first necessary to calculate a volume graph, if the candle traditionally negative price brand then the total volume is taken as negative for the period. An example of this is in the On Balance Volume indicator, the problem is that there is no way to analyze the volume using other methods. An approximate volume of the spread could be the use of the price spread to make a synthetic behavior
As traditionally is observed if Open> Close then the candle and the volume will be negative and vice versa; the next step, is estimate the amounts of the candle necessary to calculate the ratio to use for the volume and thus idealize their spread within the candle:
VLOW = Volume x Low
vHigh = x High Volume
VOpen = vClose
vClose = Volume x Close
This graph can show a stable synthetic form of fluctuations in the volume trend affected by price.
ideas, comments and suggestions (or corrections).They are always welcome
Propagation Volumes and TrendsWith this, i calculate RSI of the HL2 of the volume and use like an oscillator, this will use to measure the strength of the trend and the "Volume Flow" to follow the trend.
I use like foundation the LazyBear "Volume Flow Indicator" "honor a quien honor merece"
Background:
I think the volume as the price could be represented by candles or other graphic to use indicators and strengthen their analysis, due to lack of registration of this it is first necessary to calculate a volume graph, if the candle traditionally negative price brand then the total volume is taken as negative for the period. An example of this is in the On Balance Volume indicator, the problem is that there is no way to analyze the volume using other methods. An approximate volume of the spread could be the use of the price spread to make a synthetic behavior
As traditionally is observed if Open> Close then the candle and the volume will be negative and vice versa; the next step, is estimate the amounts of the candle necessary to calculate the ratio to use for the volume and thus idealize their spread within the candle:
VLOW = Volume x Low
vHigh = x High Volume
VOpen = vClose
vClose = Volume x Close
This graph can show a stable synthetic form of fluctuations in the volume trend affected by price.
ideas, comments and suggestions (or corrections).They are always welcome
Quadro Volume Profile- ArchitThe volume profile indicator is an advanced charting tool that displays trading activity (volume) at specific price levels during a selected time period. Unlike traditional volume indicators, which show volume over time (below the price chart), the volume profile plots a histogram on the price axis to show where the most trading has occurred for each price point.
Trend Bars with Okuninushi Line Filter# Trend Bars with Okuninushi Line Filter: A Powerful Trading Indicator
## Introduction
The **Trend Bars with Okuninushi Line Filter** is an innovative technical indicator that combines two powerful concepts: trend bar analysis and the Okuninushi Line filter. This indicator helps traders identify high-quality trending moves by analyzing candle body strength relative to the overall price range while ensuring the price action aligns with the dominant market structure.
## What Are Trend Bars?
Trend bars are candles where the body (distance between open and close) represents a significant portion of the total price range (high to low). These bars indicate strong directional momentum with minimal indecision, making them valuable signals for trend continuation.
### Key Characteristics:
- **Strong directional movement**: Large body relative to total range
- **Minimal upper/lower shadows**: Shows sustained pressure in one direction
- **High conviction**: Represents decisive market action
## The Okuninushi Line Filter
The Okuninushi Line, also known as the Kijun Line in Ichimoku analysis, is calculated as the midpoint of the highest high and lowest low over a specified period (default: 52 periods).
**Formula**: `(Highest High + Lowest Low) / 2`
This line acts as a dynamic support/resistance level and trend filter, helping to:
- Identify the overall market bias
- Filter out counter-trend signals
- Provide confluence for trade entries
## How the Indicator Works
The indicator combines these two concepts with the following logic:
### Bull Trend Bars (Green)
A candle is colored **green** when ALL conditions are met:
1. **Bullish candle**: Close > Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Above trend filter**: Close > Okuninushi Line
### Bear Trend Bars (Red)
A candle is colored **red** when ALL conditions are met:
1. **Bearish candle**: Close < Open
2. **Strong body**: |Close - Open| ≥ Threshold × (High - Low)
3. **Below trend filter**: Close < Okuninushi Line
### Neutral Bars (Gray)
All other candles that don't meet the complete criteria are colored **gray**.
## Customizable Parameters
### Trend Bar Threshold
- **Range**: 10% to 100%
- **Default**: 75%
- **Purpose**: Controls how "strong" a candle must be to qualify as a trend bar
**Threshold Effects:**
- **Low (10-30%)**: More sensitive, catches smaller trending moves
- **Medium (50-75%)**: Balanced approach, filters out most noise
- **High (80-100%)**: Very selective, only captures the strongest moves
### Okuninushi Line Length
- **Default**: 52 periods
- **Purpose**: Determines the lookback period for calculating the midpoint
- **Common Settings**:
- 26 periods: More responsive to recent price action
- 52 periods: Standard setting, good balance
- 104 periods: Longer-term trend perspective
## Trading Applications
### 1. Trend Continuation Signals
- **Green bars**: Look for bullish continuation opportunities
- **Red bars**: Consider bearish continuation setups
- **Gray bars**: Exercise caution, mixed signals
### 2. Market Structure Analysis
- Clusters of same-colored bars indicate strong trends
- Alternating colors suggest choppy, indecisive markets
- Transition from red to green (or vice versa) may signal trend changes
### 3. Entry Timing
- Use colored bars as confirmation for existing trade setups
- Wait for color alignment with your market bias
- Avoid trading during predominantly gray periods
### 4. Risk Management
- Gray bars can serve as early warning signs of weakening trends
- Color changes might indicate appropriate exit points
- Use in conjunction with other risk management tools
## Advantages
1. **Dual Filtering**: Combines momentum (trend bars) with trend direction (Okuninushi Line)
2. **Visual Clarity**: Immediate visual feedback through candle coloring
3. **Customizable**: Adjustable parameters for different trading styles
4. **Versatile**: Works across multiple timeframes and instruments
5. **Objective**: Rule-based system reduces subjective interpretation
## Limitations
1. **Lagging Nature**: Based on historical price data
2. **False Signals**: Can produce whipsaws in choppy markets
3. **Parameter Sensitivity**: Requires optimization for different instruments
4. **Market Conditions**: May be less effective in ranging markets
## Best Practices
### Optimization Tips:
- **Volatile Markets**: Use higher thresholds (80-90%)
- **Steady Trends**: Use moderate thresholds (60-75%)
- **Short-term Trading**: Shorter Okuninushi Line periods (26)
- **Long-term Analysis**: Longer Okuninushi Line periods (104+)
### Combination Strategies:
- Pair with volume indicators for confirmation
- Use alongside support/resistance levels
- Combine with other trend-following indicators
- Consider market context and overall trend direction
## Conclusion
The Trend Bars with Okuninushi Line Filter offers traders a sophisticated yet intuitive way to identify high-quality trending moves. By combining the momentum characteristics of trend bars with the directional filter of the Okuninushi Line, this indicator helps traders focus on the most promising opportunities while avoiding low-probability setups.
Remember that no single indicator should be used in isolation. Always consider market context, risk management, and other technical factors when making trading decisions. The true power of this indicator lies in its ability to quickly highlight periods of strong, aligned price action – exactly what trend traders are looking for.
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*Disclaimer: This article is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider your risk tolerance before making any trading decisions.*
MTF MACD 4-Color Momentum System🎯 Overview
The MTF MACD 4-Color Momentum System is an advanced MACD indicator that provides crystal-clear momentum visualization through an innovative 4-color state system. Unlike traditional MACD indicators that only show positive/negative values, this indicator identifies four distinct market states to help traders make more informed decisions.
📊 Key Features
1. Four-State Color System:
🟢 Lime: Above zero + Rising (Strong Bullish Momentum)
🟢 Dark Green: Above zero + Falling (Weakening Bullish Momentum)
🔴 Red: Below zero + Falling (Strong Bearish Momentum)
🔴 Maroon: Below zero + Rising (Weakening Bearish Momentum)
2. Multi-Timeframe Analysis:
View higher timeframe MACD on lower timeframe charts
Confirm trends across multiple timeframes
Reduce false signals with multi-timeframe confluence
3. Flexible Display Options:
Three visualization styles: Histogram, Columns, or Line
Toggle individual color states on/off
Customizable colors and line widths
4. Advanced Features:
Optional histogram smoothing to reduce noise
Zero-cross alerts with visual markers
Color state change alerts
Real-time value display
Customizable signal line overlay
💡 How to Use
1. Momentum Identification:
Lime bars indicate strong upward momentum - ideal for long entries
Dark green suggests momentum is slowing - consider taking profits
Red bars show strong downward momentum - ideal for short entries
Maroon indicates potential reversal brewing - prepare for direction change
2. Zero Line Crosses:
Blue triangles mark bullish crosses above zero
Pink triangles mark bearish crosses below zero
Use these as confirmation signals with other indicators
3. Multi-Timeframe Confirmation:
Set to higher timeframe (e.g., 4H on 15m chart)
Look for alignment between timeframes before entering trades
Avoid trades against higher timeframe momentum
⚙️ Settings Guide
MACD Parameters:
Fast EMA: 12 (default) - Adjust for more/less sensitivity
Slow EMA: 26 (default) - Standard MACD setting
Signal: 9 (default) - Smoothing period
Display Customization:
Choose between Histogram, Columns, or Line display
Enable/disable specific color states
Adjust visual properties to match your chart theme
Alerts:
Zero cross alerts for trend changes
Color state alerts for momentum shifts
📈 Trading Strategies
1. Momentum Continuation:
Enter longs when MACD turns lime (above zero + rising)
Enter shorts when MACD turns red (below zero + falling)
Exit when color shifts to "weakening" state
2. Reversal Trading:
Watch for maroon in downtrends (potential bottom)
Watch for dark green in uptrends (potential top)
Confirm with price action and support/resistance
3. Multi-Timeframe Confluence:
Use daily MACD on 1H chart for trend direction
Enter on lower timeframe signals in direction of higher timeframe
Avoid counter-trend trades when higher timeframe shows strong momentum
🎓 Pro Tips
Combine with volume indicators for confirmation
Use with support/resistance levels for better entries
Enable smoothing in choppy markets to reduce false signals
Pay attention to divergences between price and MACD
⚠️ Risk Disclaimer
This indicator is for educational purposes only. Always use proper risk management and combine with other analysis methods. Past performance does not guarantee future results.
Triple Exponential Moving Average (TEMA)The Triple Exponential Moving Average (TEMA) is an advanced technical indicator designed to significantly reduce the lag inherent in traditional moving averages while maintaining signal quality. Developed by Patrick Mulloy in 1994 as an extension of his DEMA concept, TEMA employs a sophisticated triple-stage calculation process to provide exceptionally responsive market signals.
TEMA's mathematical approach goes beyond standard smoothing techniques by using a triple-cascade architecture with optimized coefficients. This makes it particularly valuable for traders who need earlier identification of trend changes without sacrificing reliability. Since its introduction, TEMA has become a key component in many algorithmic trading systems and professional trading platforms.
▶️ **Core Concepts**
Triple-stage lag reduction: TEMA uses a three-level EMA calculation with optimized coefficients (3, -3, 1) to dramatically minimize the delay in signal generation
Enhanced responsiveness: Provides significantly faster reaction to price changes than standard EMA or even DEMA, while maintaining reasonable smoothness
Strategic signal processing: Employs mathematical techniques to extract the underlying trend while filtering random price fluctuations
Timeframe effectiveness: Performs well across multiple timeframes, though particularly valued in short to medium-term trading
TEMA achieves its enhanced responsiveness through an innovative triple-cascade architecture that strategically combines three levels of exponential moving averages. This approach effectively removes the lag component inherent in EMA calculations while preserving the essential smoothing benefits.
▶️ **Common Settings and Parameters**
Length: Default: 12 | Controls sensitivity/smoothness | When to Adjust: Increase in choppy markets, decrease in strongly trending markets
Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2/HLC3 for more balanced price representation
Corrected: Default: false | Adjusts internal EMA smoothing factors for potentially faster response | When to Adjust: Set to true for a modified TEMA that may react quicker to price changes. false uses standard TEMA calculation
Visualization: Default: Line | Display format on charts | When to Adjust: Use filled cloud to see divergence from price more clearly
Pro Tip: For optimal trade signals, many professional traders use two TEMAs (e.g., 8 and 21 periods) and look for crossovers, which often provide earlier signals than traditional moving average pairs.
▶️ **Calculation and Mathematical Foundation**
Simplified explanation:
TEMA calculates three levels of EMAs, then combines them using a special formula that amplifies recent price action while reducing lag. This triple-processing approach effectively eliminates much of the delay found in traditional moving averages.
Technical formula:
TEMA = 3 × EMA₁ - 3 × EMA₂ + EMA₃
Where:
EMA₁ = EMA(source, α₁)
EMA₂ = EMA(EMA₁, α₂)
EMA₃ = EMA(EMA₂, α₃)
The smoothing factors (α₁, α₂, α₃) are determined as follows:
Let α_base = 2/(length + 1)
α₁ = α_base
If corrected is false:
α₂ = α_base
α₃ = α_base
If corrected is true:
Let r = (1/α_base)^(1/3)
α₂ = α_base * r
α₃ = α_base * r * r = α_base * r²
The corrected = true option implements a variation that uses progressively smaller alpha values for the subsequent EMA calculations. This approach aims to optimize the filter's frequency response and phase lag.
Alpha Calculation for corrected = true:
α₁ (alpha_base) = 2/(length + 1)
r = (1/α₁)^(1/3) (cube root relationship)
α₂ = α₁ * r = α₁^(2/3)
α₃ = α₂ * r = α₁^(1/3)
Mathematical Rationale for Corrected Alphas:
1. Frequency Response Balance:
The standard TEMA (where α₁ = α₂ = α₃) can lead to an uneven frequency response, potentially over-smoothing high frequencies or creating resonance artifacts. The geometric progression of alphas (α₁ > α₁^(2/3) > α₁^(1/3)) in the corrected version aims to create a more balanced filter cascade. Each stage contributes more proportionally to the overall frequency response.
2. Phase Lag Optimization:
The cube root relationship between the alphas is designed to minimize cumulative phase lag while maintaining smoothing effectiveness. Each subsequent EMA stage has a progressively smaller impact on phase distortion.
3. Mathematical Stability:
The geometric progression (α₁, α₁^(2/3), α₁^(1/3)) can enhance numerical stability due to constant ratios between consecutive alphas. This helps prevent the accumulation of rounding errors and maintains consistent convergence properties.
Practical Impact of corrected = true:
This modification aims to achieve:
Potentially better lag reduction for a similar level of smoothing
A more uniform frequency response across different market cycles
Reduced overshoot or undershoot in trending conditions
Improved signal-to-noise ratio preservation
Essentially, the cube root relationship in the corrected TEMA attempts to optimize the trade-off between responsiveness and smoothness that can be a challenge with uniform alpha values.
🔍 Technical Note: Advanced implementations apply compensation techniques to all three EMA stages, ensuring TEMA values are valid from the first bar without requiring a warm-up period. This compensation corrects initialization bias and prevents calculation errors from compounding through the cascade.
▶️ **Interpretation Details**
TEMA excels at identifying trend changes significantly earlier than traditional moving averages, making it valuable for both entry and exit signals:
When price crosses above TEMA, it often signals the beginning of an uptrend
When price crosses below TEMA, it often signals the beginning of a downtrend
The slope of TEMA provides insight into trend strength and momentum
TEMA crossovers with price tend to occur earlier than with standard EMAs
When multiple-period TEMAs cross each other, they confirm significant trend shifts
TEMA works exceptionally well as a dynamic support/resistance level in trending markets
For optimal results, traders often use TEMA in combination with momentum indicators or volume analysis to confirm signals and reduce false positives.
▶️ **Limitations and Considerations**
Market conditions: The high responsiveness can generate false signals during highly choppy, sideways markets
Overshooting: More aggressive lag reduction leads to more pronounced overshooting during sharp reversals
Parameter sensitivity: Changes in length have more dramatic effects than in simpler moving averages
Calculation complexity: Triple cascaded EMAs make behavior less predictable and more resource-intensive
Complementary tools: Should be used with confirmation tools like RSI, MACD or volume indicators
▶️ **References**
Mulloy, P. (1994). "Smoothing Data with Less Lag," Technical Analysis of Stocks & Commodities .
Mulloy, P. (1995). "Comparing Digital Filters," Technical Analysis of Stocks & Commodities .
Wick SweepThe Wick Sweep indicator identifies potential trend reversal zones based on price action patterns and swing points. Specifically, it looks for "Wick Sweeps," a concept where the market temporarily breaks a swing low or high (creating a "wick"), only to reverse in the opposite direction. This pattern is often indicative of a market attempting to trap traders before making a larger move. The indicator marks these zones using dashed lines, helping traders spot key areas of potential price action.
Key Features:
* Swing Low and High Detection: The indicator identifies significant swing lows and highs within a user-defined period by employing Williams fractals.
* Wick Sweep Detection: Once a swing low or high is identified, the indicator looks for price movements that break through the low or high (creating a wick) and then reverses direction.
* Fractal Plotting: Optionally, the indicator plots fractal points (triangle shapes) on the chart when a swing low or high is detected. This can assist in visually identifying the potential wick sweep areas.
* Line Plotting: When a wick sweep is detected, a dashed line is drawn at the price level of the failed low or high, visually marking the potential reversal zone.
Inputs:
* Periods: The number of bars used to identify swing highs and lows. A higher value results in fewer, more significant swing points.
* Line Color: The color of the dashed lines drawn when a wick sweep is detected. Customize this to match your chart's theme or preferences.
* Show Fractals: A toggle that, when enabled, plots triangle shapes above and below bars indicating swing highs (up triangles) and swing lows (down triangles).
Functionality:
* Swing High and Low Calculation:
- The indicator calculates the swing low and swing high based on the periods input. A swing low is identified when the current low is the lowest within a range of (2 * periods + 1), with the lowest point being at the center of the period.
- Similarly, a swing high is identified when the current high is the highest within the same range.
* Wick Sweep Detection:
- Once a swing low or high is detected, the script looks for a potential wick. This happens when the price breaks the swing low or high and then reverses in the opposite direction.
- For a valid wick sweep, the price should briefly move beyond the identified swing point but then close in the opposite direction (i.e., a bullish reversal for a swing low and a bearish reversal for a swing high).
- A line is drawn at the price level of the failed low or high when a wick sweep is confirmed.
Confirmations for Reversal:
* The confirmation for a wick sweep requires that the price not only break the swing low/high but also close in the opposite direction (i.e., close above the low for a bullish reversal or close below the high for a bearish reversal).
* The confirmation is further refined by checking that the price movement is within a reasonable distance from the original swing point, which prevents the indicator from marking distant, unimportant price levels.
Additional Notes:
* The Wick Sweep indicator does not provide standalone trading signals; it is best used in conjunction with other technical analysis tools, such as trend analysis, oscillators, or volume indicators.
* The periods input can be adjusted based on the trader’s preferred level of sensitivity. A lower period value will result in more frequent swing points and potentially more signals, while a higher value will focus on more significant market swings.
* The indicator may work well in ranging markets where price tends to oscillate between key support and resistance levels.
Stacked Bullish vs Bearish VolumeThis indicator visually represents buying (bullish) and selling (bearish) pressure within each candle by stacking both portions inside a single volume bar. Unlike traditional volume indicators that use only one color per bar, this script splits each volume bar into two segments:
Green portion (Bullish Volume) → Represents the buying pressure when the price moves up.
Red portion (Bearish Volume) → Represents the selling pressure when the price moves down.
By stacking buy and sell volume inside the same column, traders can easily assess the balance of buying vs selling activity within each trading session.
Stacking the Bars:
The bullish portion (green) is plotted first.
The bearish portion (red) is plotted slightly offset to create a stacked effect.
