BTC Composite Man V.1Wyckoff's theory t is one of the most influential theories of market expression, and the most important components of which are lateral movement areas and trends. This theory turns the graph into something like Dots and lines (stations and paths).
After getting acquainted with Wyckoff's theory, I read several books on the subject, hoping that they could help me identify this area of lateral movement, the area of accumulation, or distribution. But there was a fundamental drawback. It is challenging to diagnose this issue. The rules discussed in these books are highly interpretive and subjective, and two different individual traders may come to exactly opposite conclusions based on their interpretation.
But as I became more familiar with the onchain analysis, an idea came to my mind that might be useful for more objectively recognizing charts based on Wyckoff's theory.
Composite Man: Wyckoff proposed a theory to help understand stock price movements. this is the “Composite Man” theory. (The same concept of whales or strong hands.)
he said: “…all the fluctuations in the market and all the various stocks should be studied as if they were the result of one man’s operations. Let us call him the Composite Man, who, in theory, sits behind the scenes and manipulates the stocks to your disadvantage if you do not understand the game as he plays it; and to your great profit if you do understand it.” (The Richard D. Wyckoff Course in Stock Market Science and Technique, section 9, p. 1-2)
Composite Man is a hypothetical man who has so much money and stocks that when he wants he can gradually increase the price by buying stocks and creating demand, and when the price goes high enough he sells his stock and lower the price. The composite man is the main player in the market. Wyckoff says that if you want to make a good profit from the market, figure out what a composite man game is.
Having a way of showing us where the Composite Man is in the market, can help us understand future trends
Who are the strong hands in the cryptocurrency market? (I use the strong hand word here instead of the composite man)
Some buy or sell more per capita than other market participants (retailers).
To understand this in the bitcoin market, I have used 3 charts and concepts:
1- Sending Addresses: The number of coins addresses making inflow transactions to the exchange.
Indicates the number of sellers' wallets (number of sellers)
2- buyers Addresses: The number of coins addresses making outflow transactions from the exchange.
Indicates the number of buyers' wallets (number of buyers)
3- Pay attention to this issue: the volume of transactions shows both the volume of sales and the buy ( Volume of buy and sale is equal in the market)
The Composite Man indicator is created by dividing the Receiving Addresses of bitcoin by the Sending Addresses. After dividing these addresses, the moving average of Alma was calculated for them and compared with the moving average of 100 days.
Considering the above 3 issues, it can be concluded:
- If the number of Receiving Addresses is higher than the Sending Addresses (the number of people who bought compared to the number of those who sold), it indicates that more people bought and fewer people sold (given that the volume of sales and buys are the same) So the sellers were stronger hands. In such a situation, the composite man is on the sales side.
- If the number of Sending Addresses is higher than the Receiving Addresses (number of people who have sold more than the number of people who have bought), it indicates that more people have been sellers and fewer people have been buyers (given that the volume of sales and buys are the same) so the buyers were stronger hands. In such a situation, the Composite man is on the buying side.
Accordingly, if the swing line is above the 100-day moving average line, it indicates that stronger addresses are being sold and retailers are buying, and vice versa.
Forecasting
Ichimoku Cloud MasterIchimoku Cloud Master aims to provide the ichimoku trader with easy alert functionality to not miss out on valuable trade setups. The key purpose of this script is to better visualise crucial moments in Ichimoku trading. These alerts should not be used for botting in my opinion as they always need a human to confirm the ichimoku market structure. For example, is the Kijun-Sen flat and too far away from price? A good ichimoku trader will not enter at such a point in time.
Explanation of script:
Chikou(lagging span): pink line, this is price plotted 26 bars ago. People ignore the power of this it is crucial to see how chikou behaves towards past price action as seen in the chart below where we got an entry at red arrow because chikou bounced from past fractal bottom.
Kijun-Sen(base line): Black line or color coded line. This is the equilibrium of last 26 candles. To me this is the most important line in the system as it attracts price.
Kijun = (Highest high of 26 periods + Lowest low of 26 periods) ÷ 2
Tenkan-Sen(conversion line): Blue line. This is the equilibrium of last 9 candles. In a strong uptrend price stays above this line.
Tenkan = (Highest high of 9 periods + Lowest low of 9 periods) ÷ 2
Senkou A (Leading span A)= Pink cloud line, this is the average of the 2 components projected 26 bars in the future.
Senkou A = (Tenkan + Kijun) ÷ 2
Senkou B (Leading span B) = Green cloud line, this is the 52 day equilibrium projected 26 bars in the future.
Senkou B = (Highest high of prior 52 periods + Lowest low of prior 52 periods) ÷ 2
Notice how the distance between Chikou and the cloud is also 52 bars. This is all part of Hosoda's numbers which I am not going to explain here.
Fractals: These are the black triangles you find at key turning point. If you want to know how they work reseach williams fractals. I've used fractals with a period of 9 as it is an ichimoku number. These fractals are useful when working with ichimoku wave theory. Again I will not explain that here but in further education
Fractal Support: Ability to extend lines from the fractals which can be used as an entry/exit mechanism in your trading. For example wait for tenkan to cross kijun and then enter on fractal breakout.
Signals:
Crossing of Chikou (lagging span) with past Kijun-Sen: this will color code the Bars / Kijun-Sen (you can turn this off in options)
The script also has a signal for this, this will be the green and purple diamonds. Where green is bullish and purple is bearish.
wy is this important?
When current price plotted 26 candles back (chikou) crosses over the past equilibrium (kijun-sen) this usualy means price has moved past resistance levels where sellers come in. This indicates a switch in market structure and price is bullish from this point, this is the same in the other direction.
Kumo Twist: when the kumo cloud (future) has a crossover from for example green to red (bull to bear). The script plots these using the colored cross symbols as seen in the picture above. A chikou cross + a Kumo twist at same bar of next to eachother below the cloud can be a great entry sign: this would be an entry after cross in the chart above.
Kijun Bounce: when in an uptrend the price retraces back to Kijun-Sen and starts to go back up. These are marked by the yellow circles as seen in chart below:
low below Kijun-Sen and close above it
Strong Trend: when Tenkan is above Kijun, price above cloud, future cloud green, chikou above close, chikou above Kijun we establish a strong bullish trend. For bearish the exact opposite. The script has a function to send an alert at the start of such trends and to plot them with small colored circles above the bars.
Customisation:
I've added options to disable specific aspects of the indicator for those traders who do not want to use all aspects of the indicator. In the customisation tab I've given each part a clear title so you can use your own colors/shapes.
The perfect entry?
Further info:
Look into my education pane, I will be adding education in the future. The chance of me making a more advanced version of the script including line forecasting etc is rather high so watch out for that.
For those who want to master this system I recommend reading the book:
How to make money with the ichimoku system by Balkrishna M. Sadekar
Or the originals books by Hosoda the inventor of Ichimoku if you can get your hands on them and can read Japanese.
Almost all info about the ichimoku system you find on the internet will lose you money because they reduce the system to simple signals that do not generate money.
I will be providing educational material on tradingview using this indicator.
[2021] SISIv SCALPER V1/0script of a scalping crypto strategy
aim to capture very short reversal on low timeframe
make lead signalAdd derivative of a signal for leading behaviour
formula: sig = (lambda/100)*source + (1-lambda/100)**momentum )
it has a multiplier and an offset for adjustment of result.
final formula: sig = multiplier*( (lambda/100)*src + (1-lambda/100)*mom_coef*mom ) + offset
Bitcoin Best Value CorridorHere is my interpretation of the "Best Time To Buy" Bitcoin over its lifetime using a logarithmic regression trendline. The upper and lower lines are 10% deviations from the centre line. I calculated the trendline in excel and then coded my results into pine script.
CapX Core SignalsThis is an indicator that generates Long and Short Signals on multiple marketable instruments such as Indices, Stocks and Crypto. This indicator has almost everything for intraday and Swing trading. Works perfectly on multiple timeframe and give signal on real time. Tested on Indices.
We make use of Relative Strength and Moving Averages to Generate Signal but at the same time, a signal is confirmed by Volatility Indicators and trend. This way we are able generate a few signals but more precise one. While generating a signal, system gives us Stop Loss Level Instantly which is calculated from Average Ture Range.
MACD Level Modified - The Smooth Line help reduce false break out
RSI is confirmed with Crossover of RSI and EMA
ADX level used to Identify Volatility ,
ATR Multiplied with float factor to give Stop Loss Range. - User get option to input ATR Float Value
EMA 9, EMA 14 and EMA 21 Used to Identify Short trend in market
DEMA 100 and DEMA 200 used to find Long Trend in Market
Support Resistance Levels marked
What makes this Indicator Unique is that it is free from clutters, indicators and signals. Less Number of signals but precise one are only generated. Charts are not cluttered with many drawing or indicators so you get a clear view of price actions and you can further work on chart and candle Pattern.
We have placed a Information Dashboard on top right corner that work real time to give you exact trend checked with EMA and Confirmed by other moving averages. The Dashboard also informs about On Going Market volatility in simple words and gives faster signal in color coded cells.
Mean Shift Pivot ClusteringCore Concepts
According to Jeff Greenblatt in his book "Breakthrough Strategies for Predicting Any Market", Fibonacci and Lucas sequences are observed repeated in the bar counts from local pivot highs/lows. They occur from high to high, low to high, high to low, or low to high. Essentially, this phenomenon is observed repeatedly from any pivot points on any time frame. Greenblatt combines this observation with Elliott Waves to predict the price and time reversals. However, I am no Elliottician so it was not easy for me to use this in a practical manner. I decided to only use the bar count projections and ignore the price. I projected a subset of Fibonacci and Lucas sequences along with the Fibonacci ratios from each pivot point. As expected, a projection from each pivot point resulted in a large set of plotted data and looks like a huge gong show of lines. Surprisingly, I did notice clusters and have observed those clusters to be fairly accurate.
Fibonacci Sequence: 1, 2, 3, 5, 8, 13, 21, 34...
Lucas Sequence: 2, 1, 3, 4, 7, 11, 18, 29, 47...
Fibonacci Ratios (converted to whole numbers): 23, 38, 50, 61, 78, 127, 161...
Light Bulb Moment
My eyes may suck at grouping the lines together but what about clustering algorithms? I chose to use a gimped version of Mean Shift because it doesn't require me to know in advance how many lines to expect like K-Means. Mean shift is computationally expensive and with Pinescript's 500ms timeout, I had to make due without the KDE. In other words, I skipped the weighting part but I may try to incorporate it in the future. The code is from Harrison Kinsley . He's a fantastic teacher!
Usage
Search Radius: how far apart should the bars be before they are excluded from the cluster? Try to stick with a figure between 1-5. Too large a figure will give meaningless results.
Pivot Offset: looks left and right X number of bars for a pivot. Same setting as the default TradingView pivot high/low script.
Show Lines Back: show historical predicted lines. (These can change)
Use this script in conjunction with Fibonacci price retracement/extension levels and/or other support/resistance levels. If it's no where near a support/resistance and there's a projected time pivot coming up, it's probably a fake out.
Notes
Re-painting is intended. When a new pivot is found, it will project out the Fib/Lucas sequences so the algorithm will run again with additional information.
The script is for informational and educational purposes only.
Do not use this indicator by itself to trade!
Momentum CloudThis is a modified Ichimoku Cloud:
-The default Lookback-Length and Displacement settings have been modified to operate optimally on 24/7 markets - which is popular among Crypto analysts.
-The Lagging Span, Base Line, and Conversion Line have been removed - leaving just the bare cloud.
-Additionally, the Cloud's color will shift blue when it is compressed. (More specifically - when Leading Span A retreats to Leading Span B, the color changes.)
This allows the user to easily identify when the Cloud is "thinning", either to the upside, or the downside.
Being that the "spread" or "width" of an Ichimoku Cloud generally gauges it's efficacy as potential Support or Resistance, this tool is particularly useful for highlighting when momentum is weakening.
*This script will be updated in the future to allow the user to view the Momentum Cloud of alternate time-frames! (e.g, Viewing the 1D Momentum Cloud on the 1H timeframe)
High Low Index SPY Top 40Modification from original code for "High Low Index" by © LonesomeTheBlue
- Made modification specifically for Top 40 AMEX:SPY holdings
- Added Market sentiment histogram (Total count green vs red), and SMA line for it
- Added arrows for peaks and dips on High Low Index and Market Sentiment MA
Idea behind this indicator is that SPY should follow the overall sentiment of its top holdings. I believe this bring great value to SPY traders.
Enjoy~!
Current bar predicted volumeDrag this indicator in the same panel with the volume in the object tree, then right click on the scale bar and set "merge all scale into one" for a correct visualization.
This indicator multiply the current traded volume of a candle with the total time of that candle. This offer a prediction of where, in case the volumes would keep trading at a comparable magnitude, the volume bar would close when the candle will close.
The predicted volume is indicated with a blue short line above the current volume bar, and updates in real time.
I find this indicator extremely useful to offer at a glance an idea of an ascending or descending volume pattern, that can serve as confirmation for a reversal or breakout for example.
Very suitable for short time frames, where decisions have to be taken fast.
Enjoy,
Luca.
Cubic Bézier Curve Extrapolation [LuxAlgo]The following script allows for the extrapolation of a Cubic Bézier Curve fit using custom set control points and can be used as a drawing tool allowing users to estimate underlying price trends or to forecast future price trends.
Settings
Extrapolation Length: Number of extrapolated observations.
Source: Source input of the script.
Style
Width: Bézier curve line width.
Colors: The curve is colored based on the direction it's taking, the first color is used when the curve is rising, and the second when it is declining.
The other settings determine the locations of the control points. The user does not need to change them from the settings, instead only requiring adjusting their location on the chart like with a regular drawing tool. Setting these control points is required when adding the indicator to your chart.
Usage
Bézier curves are widely used in a lot of scientific and artistic fields. Using them for technical analysis can be interesting due to their extrapolation capabilities as well as their ease of calculation.
A cubic Bézier curve is based on four control points. Maxima/Minimas can be used as control points or the user can set them such that part of the extrapolated observation better fits the most recent price observations.
A possible disadvantage of Bézier curves is that obtaining a good fit with the data is not their primary goal. Rational Bézier curves can be used if obtaining a good fit is the primary user goal.
Details
At their core, Bézier curves are obtained from nested linear interpolation between each control point and the resulting linearly interpolated results. The Bézier curve point located at the first control point P0 and the last curve point located at the last control point Pn are equal to their respective control points. However, this script does not make use of this approach, instead using a more explicit form.
As mentioned previously, the complexity of a Bézier curve can be determined by its number of control points which is related to the Bézier curve degree (number of control points - 1). Instead of using nested linear interpolations to describe Bézier curves, one can describe them as a polynomial of a degree equal to the degree of the wanted Bézier curve.
The Bounded Slope IndicatorThis indicator uses the concept of slopes and normalizes the values so that they are bounded between 0 and 100. The steps required to calculate the indicator are as follows:
* Calculate the slope of the price using a lookback period (by default, it is either 14 or 21). The slope is calculated by subtracting the current close price from the close price 21 (or 14) periods ago and dividing the result by 21 (or 14).
* Calculate the RSI of the slope calculations to get a normalized slope indicator.
The bounded slope indicator can be used the same way as the RSI:
* Through oversold and overbought levels. A bullish bias is present whenever the indicator is close to its oversold level (by default, it is 30) and a bearish bias is present whenever the indicator is close to its overbought level (by default, it is 70).
* Through the divergence technique. A bullish bias is present whenever the indicator is making higher lows and the market is making lower lows. A bearish bias is present whenever the indicator is making lower highs and the market is making higher highs.
The main advantage of the indicator is its different approach to measuring momentum which can be a good uncorrelated indicator to other classical ones (such as the stochastic oscillator and the MACD).
Financial GrowthThis indicator will acquire the financial data provided by Tradview.
the data is compare between Quarter, Annual and TTM in term of percent of growth.
YoY, QoQ and CAGR is also available by this script (The minimum is 4).
in addition, ploting of data, label and table also available (you can check the mark to toggle on / off).
Data : Revenue, Net Income, EBITDA, EPS, DVPS, Free Cash Flow and Forward PE .
How to use it.
just select the financial data, period and size of data to compare.
you can check the box to toggle the plotting line, label and table.
Enjoy.
Nifty_Price_Movement_BuildUPDashboard to see Price Momentum Build-Up at Nifty.
It cumulates all prices and their respective weightage.
During initial of a candle, we are not aware of volume is High or Not, we only get it in later buildup. But Price buildup will display it at the same instant that what is going with the price of all stocks.
The logic used here is that
1) If a stock close > open at a particular instant it will add that stock multiplied with its weightage in Nifty to the list of stocks that are positive.
2) If a stock close < open at a particular instant it will add that stock multiplied with its weightage in Nifty to the list of stocks that are negative.
3) Above two will give you data that how many of them are positive and are negative at a particular instant and how they are going to affect Nifty.
In one of the many possible ways, it is superior than that of Volume buildup is that, to determine volume is higher than previous volume, we have to wait for first few seconds/minutes/hours (depending on timeframe you are in) to see volume buildup. The Volume buildup function based indicator is kind of lagging, though volume itself being instant.
Saylor to Schiff RatioI'm reposting the Saylor to Schiff Ratio indicator that was originally developed by Michael Silva
This indicator may be used to predict key momentum shifts in the price of Bitcoin
I've set up this indicator for it to be used on the weekly timeframe as was intended.
The indicator plots in any BTCUSD spot, futures , BLX index and BTCEUR .
It paints in all time frames, but Weekly time frame is the correct one to interpret the 'official' read of it.
For that reason, I've enabled by default an option that forces the indicator to display on the Weekly value even though the time frame could be higher or lower.
Credit for this idea goes to Michael Silva: @mikepsilva
Compound Indicator Strategy - BTC/USDT 3hThis is an Strategy finds and utilise end points of short term market trends and this is a combination of many indicators such as
1. Volume change oscillator
2. Money flow index ( MFI )
3. Momentum Oscillator (MOM)
4. Stochastic Indicator
6. Relative Strength Indicator ( RSI )
7. Relative volatility index (RVI)
8. Balance of power (BOP)
9. Small moving average ( SMA )
10. Exponential moving average ( EMA )
11. Parabolic SAR
12. Super trend indicator
this script forms a compound indicator after analysing movements of those indicators through different time frames and measure its co-relation and variance with the price action. buy doing that, indicator in a position to identify short term market reversals and presented.
after generating a common indicator, it evaluates standard deviation and standard variance with currant market price action and generates a buy and sell signals. you can determine your own trading method based on available options.
Wave Chart v1##Wave Chart v1##
For analyzing Neo-wave theory
Plot the market's highs and lows in real-time order.
Then connect the highs and lows
with a diagonal line. Next, the last plot of one day (or bar) is connected with a straight line to the
first plot of the next day (or bar).
##How To Use##
if you want a weekly chart you drop the time frame to the daily chart.
Then you set the range to 7(if the market opens 7 days per week).
Then you click "highlight the bar that runs to plot" and you must shift the highlight to the last day that the weekly chart bar close(Sunday / Friday)
##Example 1
Weekly chart BTCUSDT on BINANCE
first open daily chart, set range = 7 and Bars_shift = 3 (shift highlight to Sunday)
##Example 2
Weekly chart XAUUSD on FXOPEN
first open daily chart, set range = 5 (market open 5 days per week) and Bars_shift = 1 (shift highlight to Friday)
##Note##
If the market has a special holiday Wave Chart may be inaccurate.
Bitcoin Inflation-Adjusted Support and Resistance5year breakeven inflation rate fitted for log BTC chart as Support and Resistance
STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft
Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies.
As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC )
Strategy is built on combination of:
- MACD
- RSI
- FIBONACCI levels
- BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default))
I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself).
You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable.
Reverse option open reverse positions of the strategy
The Namib FlowThis is an alert/notification system consisting of the building on the following existing indicators:
Hull Suite by InSilico
Follow Line Indicator by Dreadblitz
QQE MOD by Mihkel00
It is not my strategy - it is based on a video I watched.
It will give and alert/notification once the following conditions are aligned:
Bullish Alert
Hull Suite Line Fully Green
Follow Line Indicator Blue
QQE MOD Green
First Bullish Candle after the three indicators hit the conditions as described above.
Bearish Alert
Hull Suite Line Fully Red
Follow Line Indicator Red
QQE MOD Red
First Bearish Candle after the three indicators hit the conditions as described above.
Notes:
This alert system only works on the first three candles (bullish or bearish after the Hull Suite band color change) otherwise there would be too many candles.
The buy is at the close of the candle.
The SL is at the follow line indicator.
The TP is at a RRR of 1:2.
Comments appreciated.
Lankou Shad helperdisplay values of the current price x2 and x4 and /2, /4
it permit to compare the security values to its past and see if x2 is nearly probable are totally out of reach, he same for /2 of price.
It can be used for Sell Half At Double strategy: SHAD.
Probability ConesA probability cone is an indicator that forecasts a statistical distribution from a set point in time into the future.
Features
Forecast a Standard or Laplace distribution.
Change the how many bars the cones will lookback and sample in their calculations.
Set how many bars to forecast the cones.
Let the cones follow price from a set number of bars back.
Anchor the cones and they will not update from their last location.
Show or hide any set of cones.
Change the deviation used of any cone's upper or lower line.
Change any line's color, style, or width.
Change or toggle the fill colors between any two cone lines.
Basic Interpretations
First, there is an assumption that the distribution starting from the cone's origin, based on the number of historical bars sampled, is likely to represent the distribution of future price.
Price typically hangs around the mean.
About 68% of price stays within the first deviation cones.
About 95% of price stays within the second deviation cones.
About 99.7% of price stays within the third deviation cones.
When price is between the first and second deviation cones, there is a higher probability for a reversal.
However, strong momentum while above or below the first deviation can indicate a trend where price maintains itself past the first deviation. For this reason it's recommended to use a momentum indicator alongside the cones.
There is no mean reversion assumption when price deviates. Price can continue to stay deviated.
It's recommended that the cones are placed at the beginning of calendar periods. Like the month, week, or day.
Be mindful when using the cones on various timeframes. As the lookback setting, which selects the number of bars back to load from the cone's origin, will load the number of bars back based on the current timeframe.
Second Deviation Strategy
How to react when price goes beyond the second deviation is contingent on your trading position.
If you are holding a losing trade and price has moved past the second deviation, it could be time to stop trading and exit.
If you are holding a winning trade and price has moved past the second deviation, it would be best to look at exit strategies to capitalize on the outperformance.
If price has moved beyond the second deviation and you hold no position, then do not open any new trades.
The Echo Forecast [LuxAlgo]This indicator uses a simple time series forecasting method derived from the similarity between recent prices and similar/dissimilar historical prices. We named this method "ECHO".
This method originally assumes that future prices can be estimated from a historical series of observations that are most similar to the most recent price variations. This similarity is quantified using the correlation coefficient. Such an assumption can prove to be relatively effective with the forecasting of a periodic time series. We later introduced the ability to select dissimilar series of observations for further experimentation.
This forecasting technique is closely inspired by the analogue method introduced by Lorenz for the prediction of atmospheric data.
1. Settings
Evaluation Window: Window size used for finding historical observations similar/dissimilar to recent observations. The total evaluation window is equal to "Forecast Window" + "Evaluation Window"
Forecast Window: Determines the forecasting horizon.
Forecast Mode: Determines whether to choose historical series similar or dissimilar to the recent price observations.
Forecast Construction: Determines how the forecast is constructed. See "Usage" below.
Src: Source input of the forecast
Other style settings are self-explanatory.
2. Usage
This tool can be used to forecast future trends but also to indicate which historical variations have the highest degree of similarity/dissimilarity between the observations in the orange zone.
The forecasting window determines the prices segment (in orange) to be used as a reference for the search of the most similar/dissimilar historical price segment (in green) within the gray area.
Most forecasting techniques highly benefit from a detrended series. Due to the nature of this method, we highly recommend applying it to a detrended and periodic series.
You can see above the method is applied on a smooth periodic oscillator and a momentum oscillator.
The construction of the forecast is made from the price changes obtained in the green area, denoted as w(t) . Using the "Cumulative" options we construct the forecast from the cumulative sum of w(t) . Finally, we add the most recent price value to this cumulated series.
Using the "Mean" options will add the series w(t) with the mean of the prices within the orange segment.
Finally the "Linreg" will add the series w(t) to an extrapolated linear regression fit to the prices within the orange segment.
