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.
Distribution
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
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.
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
Sectors Relative Strength Normal DistributionI wrote this indicator as an attempt to see the Relative Strengths of different sectors in the same scale, but there is also other ways to do that.
This indicator plots the normal distribution for the 10 sectors of the SPY for the last X bars of the selected resolution, based on the selected comparative security. It shows which sectors are outperforming and underperforming the SPY (or any other security) relatively to each other by the given deviation.
Volume (D)EMAA simple yet configurable indicator that shows recent traffic volumes.
The time period is specified as weeks/days/hours/minutes, not as bars.
Set the volume period to non-zero if you want to use a generalized double EMA instead of plain.
The "ratio" option will show the size of the current volume compared to the average volume as computed for the specified time period; say hello to fat tails and goodby to "standard" and "normal" and "average". With the "together" option, it compares the current volume to the both sides together (buy+sell), otherwise it compares it to just its respective side.
GEOMETRIC STANDARD DEVIATION BANDS v1 by @XeL_ArjonaGEOMETRIC STANDARD DEVIATION BANDS
Ver.1 By Ricardo M Arjona @XeL_Arjona
DISCLAIMER:
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
WHAT'S THIS?
This IS NOT the wheel "Re-Invention"... This is exactly what the name says: A pair of Envelope Bands to measure "volatility", constructed at statistical relation from within price series and their Rolling back MEAN (Simple Moving Average). YES, What Mr. Bollinger did and put it's name to this simple, cleaver and popular formula.
This time, I took the time to make another simple mod, but seems to me to be quite functional in REAL VOLATILE assets like in the example chart: TO USE THEIR GEOMETRIC MODE!!
Cheers!
Any feedback or public modification(s) are quite welcome to the community....!
@XeL_Arjona
Apr 28 2016
