Willspread Chart + POIV & ADVolumen TrendColor sπThe Indicator is a combination of different types of measurements to the Price Action.
1. Spread: The Spread is set to measure your Symbol to another chosen Market like Dollar as Contra . But you can switch also between different markets.
2. Accumulation/Distribution with True Range of High or Low including OpenInterest. This only works with Futures .
--Energies, Metals, Bonds, Softs, Currencies, Livestock, live cattle , feeder cattle, lean hogs , index--
Open Interest for:
ZW, ZC, ZS, ZM, ZL, ZO, ZR, CL, RB, HO, NG, GC, SI, HG, PA, PL, ZN, ZB, ZT, ZF, CC, CT, KC, SB, JO, LB, AUDUSD, GBPUSD, USDCAD, EURUSD, USDJPY, USDCHF, USDMXN, NZDUSD, USDRUB, DX, BTC, ETH, LE, GF, HE, NQ, NDX, ES, SPX, RTY, VIX,
3. Accumulation/Distribution with True Range of High or Low including Volume .
4. The color shows if the Market has positive or negative (Willspread, Volume or Open Interest)
5. The Indicator also shows Divergences to Price and Willspread Movements.
If you want to have more information just give me a message.
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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. Indicator
+ Accumulation/DistributionThis is an updated version (with lots of extras added) of the Accumulation/Distribution indicator coded by @Cl8DH.
You can read about what he says about his indicator, and how to use it, here:
So, from that, what have I done?
I added a moving average (of which there are many types to choose from) so that you can use this as a "two lines cross" indicator, as well as a "mid-line cross" indicator.
I added Bollinger Bands (primarily for when "range" is turned off, but if you want to use the Bands with it in fixed range mode too, that's fine. You do you.).
I added candle coloring for both ways of using this indicator:
In rangebound mode there is overbought and oversold coloring, as well as bullish (ADP above the MA and median) and bearish (ADP below the MA and median), and neutral (ADP is above the MA but below the median, or below the MA and above the median). With range turned off there is no overbought or oversold of course. Above the MA and median is bullish, below both is bearish, and neutral covers that grey area where it's neither one nor the other.
The indicator itself is also colored in the same way the candles are. The MA and BBands are biased colored as well (green/red).
Alerts for pretty much every condition imaginable.
Please note in the image above the indicator is pretty gaudy. I don't use it like that, and you can turn a lot of that stuff off (lines, shading, etc.). That is just the default settings.
Like I said, I think Bollinger Bands make most sense if you have it set to range off, but they could be useful either way. Depends on you, the trader.
The candle color is 100% based on the moving average, so if you are using the BBands, set your MA to the default 20 SMA because that's what BBands use for the basis. If you just turn off the MA, whatever it is set to the indicator will still see that and use it (unless you turn off candle colors) to color the candles.
Above is the same image, but just with range turned off, and the Bollinger Bands turned off.
That's all. Hope you like this! It's becoming a favorite of mine, and a lot of what I've implemented here will be added to my previously released indicators, as well as any new ones. Indicator
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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.
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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.
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