Machine Learning : Torben's Moving Median KNN BandsWhat is Median Filtering ?
Median filtering is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise (but see the discussion below), also having applications in signal processing.
The main idea of the median filter is to run through the signal entry by entry, replacing each entry with the median of neighboring entries. The pattern of neighbors is called the "window", which slides, entry by entry, over the entire signal. For one-dimensional signals, the most obvious window is just the first few preceding and following entries, whereas for two-dimensional (or higher-dimensional) data the window must include all entries within a given radius or ellipsoidal region (i.e. the median filter is not a separable filter).
The median filter works by taking the median of all the pixels in a neighborhood around the current pixel. The median is the middle value in a sorted list of numbers. This means that the median filter is not sensitive to the order of the pixels in the neighborhood, and it is not affected by outliers (very high or very low values).
The median filter is a very effective way to remove noise from images. It can remove both salt and pepper noise (random white and black pixels) and Gaussian noise (randomly distributed pixels with a Gaussian distribution). The median filter is also very good at preserving edges, which is why it is often used as a pre-processing step for edge detection.
However, the median filter can also blur images. This is because the median filter replaces each pixel with the value of the median of its neighbors. This can cause the edges of objects in the image to be smoothed out. The amount of blurring depends on the size of the window used by the median filter. A larger window will blur more than a smaller window.
The median filter is a very versatile tool that can be used for a variety of tasks in image processing. It is a good choice for removing noise and preserving edges, but it can also blur images. The best way to use the median filter is to experiment with different window sizes to find the setting that produces the desired results.
What is this Indicator ?
K-nearest neighbors (KNN) is a simple, non-parametric machine learning algorithm that can be used for both classification and regression tasks. The basic idea behind KNN is to find the K most similar data points to a new data point and then use the labels of those K data points to predict the label of the new data point.
Torben's moving median is a variation of the median filter that is used to remove noise from images. The median filter works by replacing each pixel in an image with the median of its neighbors. Torben's moving median works in a similar way, but it also averages the values of the neighbors. This helps to reduce the amount of blurring that can occur with the median filter.
KNN over Torben's moving median is a hybrid algorithm that combines the strengths of both KNN and Torben's moving median. KNN is able to learn the underlying distribution of the data, while Torben's moving median is able to remove noise from the data. This combination can lead to better performance than either algorithm on its own.
To implement KNN over Torben's moving median, we first need to choose a value for K. The value of K controls how many neighbors are used to predict the label of a new data point. A larger value of K will make the algorithm more robust to noise, but it will also make the algorithm less sensitive to local variations in the data.
Once we have chosen a value for K, we need to train the algorithm on a dataset of labeled data points. The training dataset will be used to learn the underlying distribution of the data.
Once the algorithm is trained, we can use it to predict the labels of new data points. To do this, we first need to find the K most similar data points to the new data point. We can then use the labels of those K data points to predict the label of the new data point.
KNN over Torben's moving median is a simple, yet powerful algorithm that can be used for a variety of tasks. It is particularly well-suited for tasks where the data is noisy or where the underlying distribution of the data is unknown.
Here are some of the advantages of using KNN over Torben's moving median:
KNN is able to learn the underlying distribution of the data.
KNN is robust to noise.
KNN is not sensitive to local variations in the data.
Here are some of the disadvantages of using KNN over Torben's moving median:
KNN can be computationally expensive for large datasets.
KNN can be sensitive to the choice of K.
KNN can be slow to train.
Search in scripts for "bands"
Linear Regression Channel (Log)The Linear Regression Channel (Log) indicator is a modified version of the Linear Regression channel available on TradingView. It is designed to be used on a logarithmic scale, providing a different perspective on price movements.
The indicator utilizes the concept of linear regression to visualize the overall price trend in a specific section of the chart. The central line represents the linear regression calculation, while the upper and lower lines indicate a certain number of standard deviations away from the central line. These bands serve as support and resistance levels, and when prices remain outside the channel for an extended period, a potential reversal may be anticipated.
I have replaced the Pearson values with trend strength levels to enhance understanding for individuals unfamiliar with Pearson correlation.
SMI Momentum Bollinger Squeeze Signals - TradeUIMomentum Bollinger Squeeze Signals - TradeUI
The Squeeze Momentum Indicator (SMI) uses the principles of the Squeeze Indicator, which is a volatility indicator, and combines them with a momentum calculation to provide a more comprehensive view of the market.
The original Squeeze Indicator uses the relationship between the Bollinger Bands and Keltner Channels to identify periods of low volatility, known as "Squeezes", and potential breakout points. The SMI takes this one step further by adding a momentum calculation, making it a more dynamic tool for trading.
The momentum calculation is based on the rate of change of the asset's price. When the price increases rapidly, it signifies positive momentum, and when the price decreases rapidly, it signifies negative momentum.
Realized PriceBitcoin Realized Price is a metric that determines the value of all bitcoins in circulation by dividing the total purchase price by the number of bitcoins. This provides traders with the average cost basis for all bitcoins in circulation, which is also known as Realized Price.
Unlike the current Market Price that reflects the current value of CRYPTOCAP:BTC , Realized Price shows the average purchase price of all bitcoins in circulation. It is essential to note that Realized Price values each UTXO based on the value when it last moved from one wallet to another, assuming that the movement represents the purchase of the bitcoins.
The significance of Bitcoin Realized Price lies in its ability to provide traders with an overall economic perspective of the Bitcoin market. When the CRYPTOCAP:BTC Market Price exceeds the Realized Price, the market participants are making a profit on average. Conversely, when the CRYPTOCAP:BTC Market Price is lower than the Realized Price, traders are incurring paper losses on average.
It's worth noting that Realized Price is a modification of Realized Cap, created in 2018 by Antoine Le Calvez.
In addition to BTC I have added LTC and ETH
NB!
Script is history data depended - use on charts with most history data
BTC -> BNC:BLX
ETH -> BITSTAMP:ETHUSD
LTC -> BITFINEX:LTCUSD
it plots realized price and its deviation - when price break out from these bands it explodes hard - near the realized price is good to accumulate the coin - it is fair price
Examples
BTC
ETH
LTC
BBPullback1.0.2This is a simple strategy script based on Bollinger Bands pullbacks.
The strategy is simple, as follows:
For LONGS: At the close of any candle, it check to see if this candle is an UP candle where the low broke below the lower Bollinger Band. If so, we call this the trigger candle. For the next bar, we issue a BUY signal if the price breaks above the high of the trigger candle. The stoploss is the low of the trigger candle. We take profit when the price goes above the middle Bollinger Band (the mean/average line).
For SHORTS: At the close of any candle, it check to see if this candle is an DOWN candle where the high broke above the upper Bollinger Band. If so, we call this the trigger candle. For the next bar, we issue a SELL signal if the price breaks below the low of the trigger candle. The stoploss is the high of the trigger candle. We take profit when the price goes below the middle Bollinger Band (the mean/average line).
Trend Bands [starlord_xrp]This indicator uses multiple trendlines to determine the overall trend and trend changes. It also highlights areas of potential pullbacks to entry.
Mora's Compression IndicatorIntroducing Mora's Price Compression indicator.
One of the biggest challenges in trading strategies is to differentiate between zones in which price is consolidated (so called squeezed) and zones of price expansion. Zones of consolidation can indicate traders' indecision or the creation of order blocks, but regardless of their mechanism, most indicators behave differently in those areas as oppose to times when price is trending.
A traditional indicator of consolidation zones is the so call Squeeze, which combines Bollinger Bands and Keltner’s Channels.. although broadly used, its interpretation is not quite straightforward.
Here a new indicator is introduced to identify areas of consolidation or expansion based on current and historical volatility.
Ultimately we know the price is consolidated (current volatility) when it starts raging within a narrower band that we are use to see (Historical volatility), so the ratio of the current to historical volatility becomes a straightforward identification of consolidation zones and that is what this indicator provides.
The indicator is scaled such that values near zero mean price is compressed and values near 100 price is over-extended. The indicators is designed to allow different time-frames, while avoiding repainting.
[Uhokang] Bollinger Band BB EMA SMMA SMA Multy timeframeYou can view indicators from the specified upper timeframe together.
( Bollinger Bands, SMMA, EMA, SMA )
If it is based on a 1-hour bar, you can see indicators for 4-hour bars and 1-day bars at the same time.
=> =>
Minutes
1 => 5 => 30
2 => 10 => 60
3 => 15 => 90
4 => 20 => 120
5 => 30 => 120
6 => 30 => 120
10 => 60 => 240
15 => 60 => 240
30 => 120 => 480
45 => 180 => 450
over Hours
1 => 4 => D
2 => 8 => 2D
3 => 12 => 3D
4 => D => W
D => W => M
W => M => Y
VWAP 3x Session Reset- This VWAP aims to be used with futures and forex.
- The VWAP is reset at the beginning of each session.
- 3 different sessions can be specified.
- The lines are not drawn when there is no active session.
- The upper and lower bands with standard deviation 2 are also drawn.
Info: The time zone of the picture is Europe/Berlin
Band Based Trend FilterSimilar to RelativeBandwidthFilter , this script is also a simple trend filter which can be used to define your trading zone.
🎲 Concept
On contrary to reversal mindset, we define trend when price hits either side of the band. If close price hits upper band then it is considered as bullish and if close price hits lower band, then it is considered bearish. Further, trend strength is measured in terms of how many times the price hits one side of the band without hitting other side. Hit is counted only if price has touched middle line in between the touches. This way price walks on the bands are considered as just one hit.
🎲 Settings
Settings are minimal and details can be found in the tooltips against each parameters
🎲 Usage
This can be used with your own strategy to filter your trading/non-trading zones based on trend . Script plots a variable called "Trend" - which is not shown on chart pane. But, it is available in the data window. This can be used in another script as external input and apply logic.
Trend values can be
1 : Allow only Long
-1 : Allow only short
0 : Do not allow any trades
ka66: Alpha-Configurable EMAAllows directly modifying the Alpha/Smoothing Factor parameter of an EMA. This can allow for very close fits to price movement, instead of the more standard coarse-grained approach of adjusting smoothing via the look-back period.
Furthermore, we allow smoothing this EMA further by passing the original EMA through the EMA function again, and the output of this, yet again, to as many smoothing iterations are desired. For efficiency and practicality, limited to 10 iterations. This is inspired by indicators such as the DEMA.
Finally, we allow producing bands, with a configurable multiplier, around the final EMA. Useful for dynamic S/R levels, e.g. to use as trailing stop zones.
Impulse Alerts - Riccardo Di GiacomoThis is the Impulse indicator that allows you to receive alerts in the case one of the following situation occurs:
1) Buy Setup
- Price above Exponential Moving Average 260
- Moving Average 21 above Exponential Moving Average 260
- Moving Average 9 above Moving Average 21
- RSI(14) above 50
- Stochastic equal or below 20
2) Sell Setup
- Price below Exponential Moving Average 260
- Moving Average 21 below Exponential Moving Average 260
- Moving Average 9 below Moving Average 21
- RSI(14) below 50
- Stochastic equal or above 80
The Bollinger Bands represents another useful information:
- If the price is near the upper band when the first situation occurs, it is another green light, otherwise be careful
- If the price is near the lower band when the second situation occurs, it is another green light, otherwise be careful
Oscillator ExtremesThe Oscillator Extremes indicator plots the normalized positioning of the selected oscillator versus the Bollinger Bands' upper and lower boundaries. Currently, this indicator has four different oscillators to choose from; RSI, CMO, CCI, and ROC.
When the oscillator pushes towards one extreme, it will bring the value of the prevailing line closer to zero. If the bullish or bearish line crosses the zero line, the oscillator is past the extreme of the Bollinger Band.
Example: If the RSI crosses over the upper boundary of the Bollinger, the bullish(green) line will cross under the zero line.
Crossovers of the bullish and bearish lines can indicate a shift in momentum and are a signal. Where the line crossing under, towards zero, is the prevailing trend. The plotted lines will highlight green(bullish) or red(bearish) to show the prevailing trend. This is similar to a DI+- crossover that is commonly associated with the ADX.
We have included an optional normalized ADX to help validate signals. The ADX will change color based on the slope of the ADX. Purple indicates a positive slope and white for a negative slope.
Enterprise Value on Earnings / FCF / FFO Band Enterprise Value per Diluted Share plotted as black line.
Bands start at 5x and stops at 30x, each represents a 5x increment.
Band Options (per Diluted Share, Fiscal Year):
①Free Cash Flow
②Operating Income
③Adjusted Funds from Operations
④Core Earnings
where:
AFfO = FFO - Unusual Income/Expenses + Tax Distortion (dafault 25% tax rate)
Core Earnings = Net Income - Unusual Income/Expenses + Tax Distortion (default 25% tax rate)
These two adjustments are coarse and watered-down, so take them with a grain of salt.
For professional assessments of Core Earnings versus GAAP Earnings you may go to David Trainer at Great Speculations(costs money). I am unaffiliated with these entities.
Tips:
①③ are unapplicable to financials.
③ may work for REIT-like companies whose depreciation is mostly overstated(e.g. hydro-elec utility companies whose dams typically don't wear out in ten years; companies with assets that APPRECIATE in reality but they D&A them anyway).
Probably none works for cyclicals, especially extreme boom-bust cyclicals such as oil, aluminum & shipping etc.
Beware unnaturally low (dividend_payout+buyback)/net_income ratio as some majority shareholders may funnel money to themselves/cronies at the expense of small shareholders.
Disclaimer: Use at your own discretion. No guarantees for any accuracy or usefulness. If you decide to use it, I take no responsibility whatsoever for any consequences. Does not constitute financial advice. Past performance is not Indicative of future results.
Fibonacci Bollinger Band ClusterThis indicator creates moving averages based on Fibonacci numbers (3-233, divided by 10 to average) sourced by high, low, and ohlc4 and plots lines based on these three. The Fib MA High line is either green or red (Fib High < Close), the Fib MA Low line is either lime or orange (Fib Low < Close), and the Fib MA OHLC4 line is constantly white. A cluster or series of Bollinger Bands is then created using the Fib MA OHLC4 line as the basis. Fibonacci-based deviations (1, 2, 3, 5, 8) are then used to create three upper and three lower Bollinger lines.
Colorful Channelwhat is "Colorful Channel"?
it is a overbought - oversold indicator.
what it does?
It fills the area between the upper band of the channel and the price line with green, the area between the lower band of the channel and the price line with red color and applies a transparency to these colors according to the distance of the price from the channel lines. thus allowing users to get an idea of ??the current value of the price.
how it does it?
subtracts the percentage of the price from the lower channel from the transparency ratio of the red color, and the percentage of the price from the upper band from the transparency ratio of the green color. thus, a different transparency value is obtained for each percentile. In addition, the transparency rate can be changed with a multiplier determined by the users.
how to use it?
In the "lenght" section, you select the number of bars that the indicator will base backwards on. For example, if length=100, the indicator determines the upper and lower bands according to the distances from the highest and lowest values ??within 100 bar. so the length part works like donchian channels.
You can change the transparency ratio of the colors in the "transp" section.
1 saat transp
yan trend
4 saat
