Breakout Accumulation/DistributionBasic modification of my SFP Momentum Indicator showing accumulation/distribution patterns based on breakouts above previous anchor points.
Candles are colored based on whether accumulation or distribution was last.
Best if used at HTF then confirmed at LTF.
Birikim / Dağıtım Çizgisi (ADL)
SFP MomentumCustom swing fail detector with levels and breakouts both major and minor plus colored candles based on SFP momentum.
Buy and Hold, which day of month is best to buy?I wanted to invest a certain fiat amount each month and was wondering which day would be best to do this.
So, with this script, you can set your entry day. On the last day of the date range, it will close all positions. You can then see what amount of the asset you have accumulated to date. If you try all the days of the month and see when you can sell the most amount of the asset, you've found the best buy date of the month for that asset.
A second option is to set an exit day. This is good for a strategy where you would go long (buy) on the entry date and short (sell) on the exit day.
This was inspired by people running out of money by the end of the month and selling their asset, which could make the price fall. Then when they receive the wages by the 5th or so, they would rebuy, causing the price to go up.
Accumulation/Distribution %This script takes the signal from the Accumulation Distribution indicator invented by Larry Williams and normalizes it such that it becomes an oscillator about a zero line as described by John Bollinger in his book Bollinger on Bollinger Bands . The purpose of the indicator is to serve as a volume-based confirmation of signals given by other indicators, typically Bollinger Bands paired with a momentum indicator . In the example shown, Bollinger Bands are paired with Bollinger Bands %B and the Bollinger Bands %B indicator is interpreted similar to the Relative Strength Index ( RSI ) which is a momentum indicator .
The AD% indicator is colorized such that positive readings are green and negative readings are red. The readings become darker when approaching the zero line. The colorization is also displayed on the price chart. The chart type needs to be set to "bars" for price colorization to work properly.
The formula for this indicator is presented in the John Bollinger book as follows:
10-day sum of /10-sum of volume
How to use (my take on a strategy from the book):
1. Look for %B readings that are oversold or overbought (less than 0.00 or greater than 1.00)
2. Check for bearish divergence or bullish convergence of price and %B as shown on the chart
3. Verify divergence or convergence with AD%
4. Note previous trending/crossover behavior of AD% and %B and compare to situation being analyzed
5. A conservative trader may consider buying/selling on a close beyond the 20-day moving average and an AD% zero line crossover (color change)
6. An aggressive trader may consider buying/selling on a color change alone, on a breakdown of %B, or some other signal(s).
Securities behave differently from one another and this strategy doesn't work for all of them. As with any strategy, check past performance to make sure this approach is a good fit. Bandwidth ( volatility ) squeeze is another strategy which seems to work well for this security. For that reason, it was used to demonstrate buy signals, but squeezes aren't always so predictable. AD% may be useful for determining which direction a squeeze will resolve itself, as was the case here. Further information on volatility squeeze trading can be found in the John Bollinger book Bollinger on Bollinger Bands or online.
The default TradingView Accumulation Distribution indicator does not incorporate opening price. The formula used for this indicator does, so there are multiple versions of the A/D formula.
Despite the buy signal indicated, I'm not going long Hecla Mining here and I don't recommend it. I'd need to do further DD before doing so.
Please feel free to ask questions.
Volume using Candle RangeAnother way of finding out a rough estimate of the volume or how much bulls or bears were in control using only the range of the candlesticks in relation to the closing price. If the close is in the higher range zone then the volume is said to have been positive, if the close is in the lower range zone then the volume is said to have been negative. The close is compared to the midpoint of the candle to see how far from the midpoint the close was.
The columns bars show how far each candlestick's close price is to the midpoint of its high and low. It's possible for the column bar to be a different color than the candlestick itself if the close was above or below the midpoint. An average line is shown that takes the average of a given length amount of column bars. There is an option to show the absolute value only of the columns and the average line.
This is based on an idea I found about candlestick range bars implying volume. This is an attempt to put that theory into practice and to see if there's any truth to it. It's not exactly volume and may not always look like it, and it does not show how many trades took place but instead tries to use price in relation to the high and low range.
OBV Accumulation / Distribution Strategy CryptoThis version its made for 8-12h and works amazingly on the ETH pairs. Can be adapted to others as well
For this example, I used an initial 1$ account, using always full capital on each trade(without using any leverage), together with a 0.1% commission/fees for each deal, on Coinbase broker.
This is a long only strategy
The components for the inside of the strategy are the next one :
1. OBV Accumulation/Distribution
3. EMA
The rules here are simple : we check for cross up or above on OBV and EMAmoving average and after that we check for the trend direction based on ascending/descending OBV. Based on this we enter long or exit long.
RISK WARNING
Trading on any financial market involves a risk of loss. Please consider carefully if such trading is appropriate for you. Past performance is not indicative of future results.
If you have any questions or you are interested in trying it, private message me and I will give you as soon as I see the message a trial for it.
Divergence TemplateDivergence Template!
This public indicator helps you to find as many divergences with as many indicators you like, without the long hassle of knowing and coding the divergence yourself.
Just replace the "Divergence Condition" with your formula and give it a title in the second step, everything simply illustrated to someone without any coding experience!
This example is calculating A/D Divergences.
Let's make 2021 great!
With help of @madoqa.
A/D + 21/200EMASimple Accumulation & Distribution indicator with the 21 and 200EMA plotted on it. Might be a useful tool in your arsenal.
Whale Hunter [Gu5]Indicator to show a big change (Whale) in the same candle
The candles change color, until the Momentum returns to zero
After the movement of a whale, the market is usually on range, and there may be false entries
The default values (2.618% and 20 lenght), are optimized for BTCUSD 15m
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Spanish
Este indicador muestrar un gran cambio porcentual (ballena) en la misma vela
Las velas cambian de color, hasta que el Momentum vuelve a cero
Luego de el movimiento de una ballena, el mercado suele quedar en lateral, y puede haber falsas entradas
Los valores por defecto (2.618% y 20 lenght), están optimizados para BTCUSD 15m
Accumulation/Distribution Open Interest Money Flow Hi, this script is the version of Accumulation / Distribution Money Flow (ADMF) that uses Open Interes ts in the required markets instead of Volume.
Can be set from the menu. (Futures/Others)
NOTE: I only modified this script.
The original script belongs to cl8DH.
Original of the script:
I think it will make a difference in the future and commodity markets.
Since the system uses CFTC data, use only for 1W timeframe.
With my best regards..
Whale Trading SystemThis script is an advanced version of the distributional blocks script.
In distributional buys and sells:
I used a high - low cloud filter, which makes it more prudent to sell the next sell higher for sells and to buy the next purchase lower for buys.
I also used the Stochastic Money Flow Index function because it also uses volume to separate regions.
The long period is 52 weeks, which is equal to one year,
The short period is one-fourth of its value, which is equal to a financial quarter.
Then the values calculated with these periods are calculated by stochastic - rsi logic within the function, giving us two averages and separating the regions according to crossovers and crossunders .
In buys and sales, the higher your next distributional position size makes your profit more .
In the old system, there was a confusion as it was not divided into zones.
Because we divide into zones here, zone changes are the last stop to free up existing positions, and you must reopen each time you change zones.
And I changed standard distribution days, depending on the price change and the histogram, as StochMFI also took into account the volume.
In this way, there is sustainability.
I am also sharing my educational idea that explains the logic of this system in more detail :
Now that we have been divided into regions, a maximum of 10 pieces will suffice us.
And the regional shifts will allow us to sell and buy all of our position size, and now we will feel much more comfortable.
The most timeframe I find most accurate are the weekly bars.
Even in the example, we see how we have benefited from the sharp drop in bitcoin, while the price is falling, and we have lowered the average with higher-weight purchases than the previous one.
In both buys and sales here, both the histogram intensities and the average of the purchases you have reduced with the transactions, or the earnings you have increased with the sales, guide you.
In areas with high volatility ,if we adjust our positions properly, even if we follow the changes in the region, we will get rid of those situations with few wounds and we will surely catch the trend!
NOTE : Crossover/crossunder and distributional buy/sell alerts added.
Best regards , Noldo.
Distribution Position Size Panel
This panel is an example position size panel that I prepared and I consider the rates reasonable.
I have prepared this panel so that the money allocated to the investment ends 14 consecutive signals.
The sum of the ratios is 100 units.
You can adjust your positions according to this panel.
The first steps are low rates.
If the phrases are strong, you can specify a position size from the lower digits.
Likewise, when you make a big profit, you can empty your profits in the lower steps.
In the event of a color change, you can return to the beginning or lower limit.
NOTE: This script is an auxiliary command to the distribution blocks script,
if you want to use another script, you can add distribution days to yours.
14 th stake does not appear in the preview, you need to reduce the size of the distribution blocks indicator slightly.
Rafael Zioni's examples of the panels helped a lot, thanks to him.
Stay tuned ! Regards , Noldo.
Distribution BlocksThis idea has been created by the combination of the two existing systems as a result of my efforts to create a distributional buying and selling guide that has plagued my head for a long time.
1st idea is Accumulation / Distribution Line :
2nd idea is Distribution Day :
These two ideas, the intellectual assistance of professional brokers, and my observations of cot data played a role in the formation of this idea.
Let's start.
No matter how often we divide our risk, both our minds are not comfortable and our capital may end at any moment, and if we do not use professional systems, our chances of success are 50 percent.
If we take this system as an aid to our classic systems, we can determine the amount of risk with those predictions and gradually trade.
If we don't use leverage and we have a little predictive ability, our chances of success go above 50 percent.
But for the first time, we can keep our first lot very low and increase the number of positions in the same order of orders (example: buy and buy and buy).
If we keep the first amount low, the folds won't hurt us.
When we catch up with the trend, purchases with larger position sizes than lower prices lower our average price, so that we can make a good profit when the rising trend starts.
By accepting the zone changes as the reset point just like in the martingale system, we enter the folds in the new zone with our first lot weight.
Although we cannot catch the trend, we determine the stoploss level by adding the first point we entered or the first point we entered and the commission cost.
In fact, this method is the method of buying and selling very large traders and producers, banks, pro-brokers, hedge funds and in other words the new popular phrase "whales".
Because if he trades otherwise, he cannot find buyers because his goods are too big.
I like the comfort of mind in this way.
Finally, your methods separating the negative and positive regions (macd, rsi, interpretation observation etc.)
the stronger you are, the higher your success rate.
I think the Accumulation Distribution method is very successful, but it can be adjusted for the period.
I can't wait to integrate my relativity system on this.
And when my deep learning series is over, I will integrate them on ANN series and share them publicly.
To start with, I can say briefly.
If your capital is 100:
(first lot + (increase multiplier * first lot) + (increase multiplier * increase multiplier * first lot) + .....) = 100
I tell you that you can have the same position in this series 10 - 15 times,
this will help you decide how small a position size is to be used as the starting rate and choose a low increment multiplier!
I think that this idea cannot be converted into strategy, because when our expectations come true, we may want to free all positions and start again.And I think that's better.
And in sudden movements and developments we take action with different expectations.
I'm going to talk about this script's calculations and profits on educational ideas.
Regards , Noldo.
Volume Ticks - Increasing Volume Bar Count [LucF]Volume Ticks is a zero-lag market sentiment indicator. It works by providing a cumulative count of increasing volume columns.
A one count is added for each increasing volume column where close>open, and one is subtracted on an increasing volume column if close<open. That’s it. The count does not change when volume hasn’t increased compared to the previous bar’s volume, nor when price does not change. Price movement during the bar, whether 0.001% or 100%, is irrelevant to Volume Ticks; it only moves by 1 at a time.
Given that price is not used in Ticks, it is intriguing how well it tracks—or often leads—price movement. The fact that it doesn’t use price also makes it an ideal companion to most indicators that do use price, whether in momentum or mean-reversion based strategies.
As with my TLD indicator , the postulate behind Ticks is that price movement occurring on increasing volume is more significant than otherwise. In my opinion, the usefulness of Ticks tends to validate this.
Features
The averages can be turned on and off.
A long-term sentiment marker can be turned on.
Markers for BB exits and pause-reversals can be turned on, with the option of showing only long or short markers.
9 alerts can be defined on markers, with the option of choosing only long or short markers.
Use cases
Provides perspective when reading momentum indicators.
Helps identify false momentum tops or bottoms.
Comes in handy in detecting subtle sentiment in consolidations. Instances where slight price movement is accompanied by more important Ticks movements often predate more important price movements.
Helps detect exhaustion in trends.
Things to keep in mind
Volume Ticks show sentiment—not price nor trend. Because it so often mimics price, this is easy to forget.
Volume Ticks is not bound. Its position with regards to the zero line is not particularly useful either; position relative to and interplay between the MAs is much more useful.
Readings are more reliable with many data points. When used on monthly, weekly or daily charts, readings should be validated at shorter intervals. Over the same length of time, a compressed view of a shorter interval will usually provide more reliable readings than the longer interval view.
Being zero-lag, Ticks is inherently noisy. You will see this when using the Pause-Reversal markers.
The signal line will not move if no increasing volume is accompanying price movement, however important that movement may be.
Linear regressions are used in lieu of MAs, except the slow long MA (T5) which uses a simple moving average. The fast MA (T2) is double-smoothed.
Markers 2 are brighter when T3 and T4 are in the direction of the marker. The markers are not this indicator’s most useful feature.
Here is Ticks in action on a chart also using TLD:
Distribution Days-BuschiThis script is a simple extension of the script "Distribution Day" from user "kalle2017". Thanks to him!
As the name suggests, the idea is to recognize "distribution days", when the "firm hands sell to the shaky hands" (Kostolany). So, too many distribution days in a certain timeframe can be a sign for a coming correction / bear market.
A distribution day gets triggered when a loss compared on the day before exceeds 0.2 % and the trading volume is higher.
This indicator works on any daily chart symbol but should be primarily used on major indexes.
Possible inputs are "days back" to count how many trading should be examined(default: 25). Additionally, I implemented the possibility to draw a moving average (default: exponential, 50), to eliminate distribution days below, because it is more of an indicator for the upside. Perhaps a little bit too much / too complicated, therefore it is off by default.
IO_EMA_Delta_OscillatorThis is a EMA Delta Oscillator: An attempt to show ranging markets based on the slope of the EMA.
Green = Bullish Market
Blue = Ranging Market
Red = Bearish Market
The EMA Slope is normalized to make it work like an oscillator with values between 0 and 1.
Bar colors show the oscillator colors, bar borders show the actual candle colors.
- Invsto
(sarangab)
XBT Volatility Weighted Bottom Finder. [For Daily Charts]An update to:
Made it into and indicator.
v. 0.0.1
DESIGNED FOR DAILY CHARTS
Accumulation/Distribution Volume (ADV) [cI8DH]This is the simplified and optimized version of my original ADV indicator. It shows both regular volume bars and the accumulated/distributed (A/D) portion of them. The equation is elegant and intuitive. It calculates candle body to candle height ratio and multiplies it by volume: volume*(close-open)/(high-low). This is the building block of my three other indicators, ADL, ADP and ADMF.
- The volume bars has two shades of green and red. The dark shade shows amount of A/D and the light shade shows total volume (what you see on a regular volume indicator).
When money volume is enabled, volume is multiplied by price. As you can see in the chart below, trade volume in terms of USD was growing over the past years.
- Blue line is the moving average of A/D and the orange line is for total volume. When "Baseline Chart" option is enabled, this moving average is identical to ADMF indicator which can be a powerful indicator for assessing buy/sell pressure as well as money flow and volume divergences. You can turn off volume bars (from style menu) for better visibility or you can use the below indicators.
Please note that ADMF is now available as a part of ADP indicator as well and I recommend using the latter since ADP can also replace CMF and MFI indicators.
- If you change the aggregation to cumulative (while having money volume disabled), the gray line becomes identical to On Balance Volume (OBV) and the blue line identical to my ADL indicator. The latter I would argue is more accurate than Chaikin's ADL, William's A/D and OBV.
Accumulation/Distribution Level (ADL) [Cyrus c|:D]This indicator shows Accumulation/Distribution level which can be used for confirming trends or reversals (via divergence). It is an alternative to Chaikin's Accumulation/Distribution Line (ADL) and On Balance Volume (OBV) indicators. It can also replicate PVT and OBV via options in the input menu.
Here is a comparison of four related indicators:
OBV is too simple and has serious flaws as explained in PVT's wiki.
Chaikin's ADL is a broken indicator as can be seen in the chart below:
A/D Level addresses the flaws in these two indicators. It simply sums up portions of the volume that contributes to price change. These portions are visualized in dark green and red on "Accumulation/Distribution Volume (ADV)" indicator. This can also be achieved by ADV indicator if you are nerd enough.
PS: There is Williams A/D as well which is also a broken indicator.
