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
Screener - Multi Timeframe [WYCKOFF ARSENAL]Screener - Multi Timeframe WYCKOFF ARSENAL
The general idea of The Wyckoff Method is that the trader can see the market as well-structured periods of Accumulation , Markup , Distribution and Markdown .
The price of an asset depends on its supply and demand .
There is more than one stock available for trading, and there is more than just Bitcoin on the Cryptocurrency market.
This means that one may choose to trade more than one asset and this perspective opens up a world of opportunities in which Supply and Demand are the masters.
For example, you have invested some money in a cryptocurrency, and you wait for it to Markup already.
But it is still in a long period of accumulation - it doesn't move much.
You should leave it and find another crypto that is moving.
To aid in the discovery of such opportunities, a Market Screener is available.
Method used: The Wyckoff Method of course.
The indicators used:
• Optimism Pessimism
• Force
• Technometer
• Momentum
The Wyckoff Arsenal Indicators can be used individually, and they are very useful when trading a single pair.
But the Market Screener can scan for opportunities in a wide range of pairs, or same asset but different trading platforms.
The indicators are based on volume, so the symbols must have volume data for the Screener to work.
Multiple indicator instances can be used to track a specific asset, like Bitcoin.
This way, all Bitcoin data available on TradingView could be used instead of data coming from a single trading platform.
Alerts: Overbought/Oversold conditions, Bollinger Bands crossings, Divergence detection.
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.
Hashem Accumulation/Distribution (V2)Hashem Accumulation/Distribution. Accumulative Net Delta.
Accumulation/Distribution Line with the Histogram of it. Basically shows the buyers and sellers on a move and trend.
Can analyze it to verify if the volume in a trend is confirming it or not.
Added markers when it cross the 0 Line in a Distribution. (after Accumulation) and Vice Versa.
Can be used for the Histogram Divergences and the A/D Line Slope logic for identifying a trend that is supported by the Volume.
Hybrid Profile [DW]This is an experimental study inspired by J. Peter Steidlmayer's Market Profile tool with an alternative set of calculations for analyzing price action and distribution over a defined interval.
This tool is geared toward finding price reactive points for better entry and exit positions.
In this script, price range over a user defined interval (up to 4000 bars) is divided into 50 sections, then TPOs are counted for each section to generate the distribution histogram. Histogram lines are calculated in real time, and recalculate on each new bar.
Areas of significance are displayed as purple lines in the histogram, making it incredibly simple to identify levels that price will likely react to. The significance sensitivity can be manually adjusted for desired output.
Rather than using POC, I created a series of proprietary calculations to generate what I call the Point Of Focus (POF). This line is similar to POC, but does not always follow the highest count in the distribution.
The POF is designed to experience less whipsaws than POC, which makes trading using the POF much simpler since its value is more consistent. On historical data, price has shown to either revert to or launch from the POF rather frequently.
Unlike a conventional Market Profile, this profile doesn't have a "value area". Instead it has a Mean Value Zone, which is calculated using a series of custom VWAP calculations. The output is similar to VA, but much smoother.
This script has a built in tick volume substitution for charts with no real volume data, making all elements of the script compatible with any cryptocurrency, stock, currency pair, or index you want to analyze.
A bar color scheme is included within this script which can be used to help determine dominant trend and local extremes of the interval.
This tool is not necessarily better or worse than the classic Market Profile, nor is it a replacement for Volume Profile.
However, this is a powerful alternative that can both simplify and improve your technical analysis.
Jurik RSX+A free addon for Profitable RSX . Equipped with RSX Values Distribution Profile, Point of Control, Value Area (customizable % based) and alert system.
RSI+A free addon for Profitable RSI . Equipped with RSI Values Distribution Profile, Point of Control, Value Area (customizable % based) and alert system.
Close-to-Close % Change DistributionThis is a graphical representation of things you see everyday in your watchlists - % Changes. This tool uses the entire history of an instrument. Different instruments have different distributions.
Oil
Gold
Bitcoin
Gaussian distribution %sWith 4 Moving averages options, length input and source input this script will help you test so you can find the best moving average type and length according to the gaussian distribution theory.
Gaussian Distribution Theory:
68% of all data points fit within 1 Standard deviations of the mean
95% of all data points fit within 2 Standard deviations of the mean
99.7% of all data points fit within 3 Standard deviations of the mean
Volume Extension [DepthHouse]DepthHouse Volume Extension uses average calculations to determine the dynamic range which the volume travels through. Any spike above the line represents an over extension in average volume.
The colored bars are then calculated in a similar way, which measures a combination of both price and volume action to determine bull & bear exhaustion levels, and possible entry/exit points for big players.
This indicator is 100% free , so if you benefit from using it, please consider supporting me by checking out the several other indicators available on my page :)
Ichimoku A/D Breakoutthis is basically a clone of the super a/d indicator but we're using a standard ichimoku as the source for the trend instead of the supertrend indicator
Average Hourly VolumesHello traders!
This indicator shows you the average hourly volumes across the instrument history.
It can help you to find time frames with the highest and the lowest activity of traders. Thus, you will know when to jump into the train and when to jump out.
What is included
An option to include/exclude weekends from calculation
An option to start calculations from specific date
An option to hide zero volumes
It works on ANY instrument that has available volume data.
It works on all resolutions
I attached some screenshots to show you how it works with other instruments.
How to get access
You can buy it for only 59$ to get lifetime access
Good luck and happy trading!
Cumulative Hourly VolumesHello traders!
This indicator shows you cumulative hourly volumes across the instrument history.
It can help you to find time frames with the highest and the lowest activity of traders. Thus, you will know when to jump into the train.
I attached some screenshots to show you how it works with other instruments.
How to get access
You can buy it for only 79$ to get lifetime access
Good luck and happy trading!
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.
Volume CandlesHello traders!
Well, I was trying to implement EquiVolume Charts that were developed by Richard W. Arms, but unfortunately I got a poor result.
Instead, I used my groundwork on EquiVolumes to create Volume Candles indicator to help you make better, smarter trades.
What are the cool features?
Excellently filters the instrument's movements
Gives a better view of the accumulation/distribution phases
Completely removes price gaps
Works on ANY instrument that has available volume data.
Personally, I am a big fan of the volume-based indicators and to clarify my position I cite the following words of Buff Pelz Dormeier from his book "Investing with Volume Analysis: Identify, Follow, and Profit from Trends" :
A trade produces only two pieces of information: the price and price's neglected sibling, volume. Perhaps the least appreciated piece of the puzzle, volume represents fertile ground for technical analysis. Proficiency in volume analysis is a rare skill. Properly understood, though, volume analysis can provide its practitioner with the power to peer deeply into market mechanics.
Benjamin Graham, the father of value investing and a mentor of Warren Buffett, often called the market a 'voting machine'. If so, then volume is the ballot box. Volume is a literal illustration of the power behind the forces of supply and demand.
Volume is understood as the validation of price, the source of liquidity, the substantiation of information, the fulfillment of convictions, the revelation of divergent opinions, the fuel of the market, the proponent of truth, and the energy behind the velocity of money. If you believe any of this information might be important in making an investment decision, volume analysis is important to you.
I attached some screenshots to show you how it works with other instruments.
How to get access
Buy for only 129$ to get lifetime access to this indicator
Like and follow for more cool indicators!
Happy Trading!
Ultimate Money Flow (UMF), Stoch, Multi Time Frame (MTF) [cI8DH]This indicator adds stochastic, multi time frame, signal line, histogram, and bar coloring options to my previous indicators. It can also replicate standard Money Flow Index ( MFI ), Chaikin's Accumulation/Distribution Line ( ADL ), On Balance Volume ( OBV ) and Price-Volume Trend ( PVT ). This indicator can be used for analyzing momentum, buy/sell pressure, overbought/oversold conditions, and trendiness/choppiness, as well as identifying swings (stoch). Chart below shows example multi-TF setup with bar coloring.
For analyzing price, I made a similar indicator based on Absolute and Relative Strength Indices, which you can find in the link below.
Equation
Here is part of the code used in the script: pastebin.com
Standard MFI, OBV, ADL and PVT
To validate the calculations, I stacked UMF on MFI, OBV, ADL, and PVT in the chart below (100% overlaps validate the calculations). It also shows how you can replicate these indicator if you'd like to use them, or if you want to make your own custom indicator by combining features from different indicators. I do not recommend MFI, ADL or OBV; read "why invent a new indicator" section below. (bear in mind that MFI scale is 0-100, while UMF scales is -100 to 100)
Money Flow based on "Balance of Power" (this is the default mode)
Balance of Power (BoP) equation is: (close - open) / (high - low)
In my opinion, BoP is the most accurate equation to measure the amount of volume accumulated or distributed. I used BoP in my previous open source indicators ADV , ADL , ADP and ADMF . I applied the "True Range" fix to BoP equation similar to what Twiggs did on CMF .
Aggregation Method
By changing aggregation methods, you can replicate my previous indicators which are also linked at the bottom of this page. Please read more about their applications in their respective pages.
aggregation method = Cumulative => ADL indicator: accumulation/distribution (price factoring should be turned off)
aggregation method = MA => ADMF indicator: accurate buy/sell pressure, momentum and divergence
aggregation method = MA Percent => ADP indicator: overbought/oversold conditions, buy/sell pressure, momentum and divergence, failure swings
Smoothing, signal line and histogram to detect trend and choppiness
You can apply additional smoothing to UMF. Also, you can add a signal line and histogram (histogram is the difference between main line and signal line). To do so, set the signal length to a number greater than one. Signal line can help you detect changes in trend similar to the signal line on MACD. If signal line criss-crosses UMF, it shows market is choppy. The worst case is when this criss-crossing coincides with UMF flattening near neutral line and histogram height is short; that means market is ded (until it is not; expansion following a contraction period is a common phenomena)! (Bear in mind that histogram will not show in stoch mode.)
Stochastic
To enable stoch, change the stoch length to a number greater than 1 (default stoch length for the built-in stoch RSI is 14). This length should be calibrated depending on TF and asset. If done correctly, it can be a powerful tool for identifying swings. Stoch can be combined with any aggregation method. I recommend using stoch with MA or cumulative aggregation methods. For conventional uses of stochastic, please read www.tradingview.com(STOCH) and www.tradingview.com(STOCH_RSI).
Experimental Bar coloring Feature
There is an option to color bars depending on UMF's position relative to the signal line. If both TFs are used in coloring and they are in disagreement, the TF with greater histogram height wins. There are two shades of green and red. The darker shade means both TFs agree. If you use the signal line, bar coloring can help with calibrating the indicator (play with parameters until you see a good looking chart i.e. a lot of green candles followed by a lot of red candles in a row). Please note that bar colors might change until candle(s) close(s). The bar coloring rules will most likely change in the future.
Notes
- Uncheck "Factor Price" for Bitmex or any other exchange that shows volume in terms of money.
- UMF is a replacement to ADP , ADMF and ADL , so no more updates for the old indicators!
- Smooth MA length N = EMA length 2*N-1
- Combined tickers, e.g. (COINBASE:BTCUSD+BITSTAMP:BTCUSD+KRAKEN:XBTUSD)/3, can mitigate inconsistency issues between different exchanges (I recommend not mixing USD and USDT pairs together)
Why invent a new indicator
I have spent a great deal of time to find the best equation that represents accumulation/distribution. Each of the well-known methods have a major flaw.
- Winner-take-all problem
MFI, OBV and to some extent Williams AD assign accumulation or distribution based on the direction of change in price. They don't account for the amount of change. That means the indicator does not differentiate between a full candle and a doji candle.
- Extreme divergence problem
Chaikin tried to avoid winner-take-all problem. However, he ended up with a solution that, in my opinion, is even worse. A big flaw of Chaikin's indicators is that they can diverge too much from price. Most responsive indicators in this class, require at least two candles to diverge from price, but CMF/ADL can diverge in a single candle. Chaikin used the same component ( aka Chaikin's money flow multiplier) in both CMF and ADL. CMF 's flaws may not be as visible because it is a normalized oscillator. However, this common flaw is more evident in accum/dist indicator which keeps all past information in its memory. As you can see in the chart below, accum/dist is constantly rising during an obviously distribution period.
ADV (Volume)
ADP
ADMF
ADL
Please give a like, and share the interesting configurations you find in the comments.
Supertrend A/D BreakoutModified Hoffman A/D:
1. uses standard supertrend to determine up/down direction (previous version used ema crossover)
2. uses improved A/D candlestick patterns
I'm optimistic about this one
A/D Levelsuses reversal candles to determine accumulation and distribution candles
remembers the last reversal candle and draws a support or resistance line at the reversal level
does a barcolor if the price breaks support/resistance
similar to the hoffman a/d breakout indicator but there is no trend detection components
Stoch Money Flow (ADMF) & Absolute Strength Index (ASI) [cI8DH]This indicator can apply my previous indicator, Historical and Standard Stochastic, to Money Flow (ADMF) or Absolute Strength Index (ASI) or both at the same time. It can also display those two indicators in regular mode as well as showing visual cues when the indicators make new ATH or ATL.
ASI is basically a new name I am giving to my Gain/Loss Moving Average indicator. If you normalize ASI with the moving average of all the changes in price, it becomes identical to RSI. So ASI is basically non-normalized RSI, that is why it should be a more accurate representation of price momentum.
ADMF is an accumulation/distribution and money flow momentum indicator. Both ASI and ADMF are not range-bound so it is not easy to compare them against each other. When stochastic equation is applied to them, they both become range-bound and comparable. The gaps between the two indicator can reveal valuable information about market dynamics. The chart below shows some examples (note the settings).
For conventional usages of stochastic, please read www.tradingview.com(STOCH) and www.tradingview.com(STOCH_RSI). I recommend you to find the optimal length by playing with the stoch length in the indicator settings. If this parameter is calibrated properly, this indicator can be a powerful tool for identifying market cycle.
You can get these features ( ATH , ATL detection and historical stochastic) for any other indicator using the script below:
Hoffman A/D BreakoutStudy based on Rob Hoffman's Accumulation/Distribution Breakout strategy.
- Green circle on the top wick indicates a "Distribution" wick
- Red circle on the bottom wick indicates an "Accumulation" wick
- A distribution wick in an uptrend gets marked as a Key Resistance. This is marked with green crosses
- An Accumulation wick in a downtrend gets marked as a Key Support. This is marked with red crosses
- Breaking above the Key Resistance indicates a buy entry. This is marked by a green background.
- Breaking below the Key Support indicates a sell entry. This is marked by a red background
TTPro High Low Signals 2 v6TTPro High Low Signals 2 v6 is a leading indicator that can identify trends, anticipating trend reversals and highlight overbought and oversold levels. It is also useful in identifying bullish and bearish divergences and detecting early momentum shifts. Visit www.turbotraderpro.com for more details.
