Ehler Fisher applied on distance EMAThis is an improved version of Fisher, which use as a source the distance from EMA , compared to the initial source which was on the close of a candle.
It can be used in any market, any time frame .
For conditions we have multiple conditions for the logic, in this case initially if our fisher is above 0 is a long direction ,if its belowe 0 its a short direction.
Also we can improve this condition even further, in this case if we cross up our previous line its a buy signal, and if we cross down its a sell signal.
For best usage combine the cross together with the position of fisher respecting the 0.
If you have any other questions, let me know with a private message.
Cerca negli script per "Futures"
John Carter Pivot Points
This script is based on John Carter Mastering The Trade book. Pivot calculation is based on the previous day high, low, and close.
What Are the Trading Rules for Pivot Buys on Trending Days?
Sells are reversed.
1. Each day I update the appropriate pivot levels on the charts to reflect the previous day’s action. On Mondays, I also
update the weekly pivots, and on the first trading day of a new month, I update the monthly pivots.
2. The first pivot play is done in conjunction with the gap, if there is one. If there is a gap down, then I buy a decline into
the closest pivot level. If there isn’t a playable gap (more than 10 YM points or 1 ES point), then I will wait until
9:45 a.m. eastern to initiate the first play.
3. If the volume on the five-minute ES chart is more than 25,000 contracts, then I’ll wait for the markets to penetrate a
pivot level and move up at least a quarter of the way to the next pivot level. Once this happens, I will then set up a
bid to buy the first retracement back to the violated pivot level.
4. I enter my trades with limit orders only. I place orders “just in front of” the pivot. For the YM, I use 3 points; for the
ES, 0.25 point; for the NQ, 0.50 point; for the TF, 0.20 point; and for individual stocks, 5 cents. For example, if I’m
trading the YM and the pivot level is 10,000, then I would buy a decline to 10,003 and short a rally to 9997
.Sometimes the pivot will be an odd number, such as 1117.38 on the ES. In this case, I always round in the direction of
the trade. So, if I’m bidding for a long, I will round 1117.38 to 1117.50, and my bid will be 1117.75. If I’m offering a
short, I will round 1117.38 down to 1117.25 and place my offer at 1117.00. My stops and targets, then, would be “just
in front of” these appropriate long and short levels.
5. Once filled, I place an order to close the first half at the next pivot level and the second half at the pivot level after
that, using the same “just in front of” parameters.
6. I place a stop at 20 points for the YM, 2 points for the ES, 4 points for the NQ, and 1.50 points for the Russell. For
stocks, I will use a stop based roughly on the price of the stock. If the stock is under $10 a share, I will use a stop of
20 cents. If it is between $10 and $20, I will use a stop of 30 cents; if it is between $20 and $30, I will use a stop of
40 cents, and so on, adding another 10 cents for each $10 increment in price. (A $75 stock would have an 80-cent
stop, for example.)
7. If the first target is hit, I will then move up the stop to my entry-level pivot, minus the “just in front of” fractions
discussed in rule 3. For example, if I get in a YM long at 10,003 and the pivot is at 10,000, then my new stop would
be 9997 once the first target is hit.
8. If I am in a trade at the market close and neither my stop nor my target has been hit, I will close out my position “at the
market” at 4:10 p.m. eastern for futures, and at 3:58 p.m. eastern for stocks.
9. I don’t initiate any new positions after 3:30 p.m. eastern, but I will manage existing positions into the close.
10. The markets rarely have a sustained move above R3 or below S3. If I trade to those levels, I will always fade the
move.
11. After two losers in a row, I’m done with pivots for the day.
What Are the Trading Rules for Pivot Buys on Choppy Days?
Once again, sells are the same, just reversed. The rules for choppy days are identical except for the targets. On choppy days, I
just focus on the YM and the ES. My first target is mechanical: 10 points for the YM and 1 point for the ES on half of my
position. Once this is hit, I will trail up my stop in the same way I would for a trending trade. The second target becomes the
“just in front of” level for the actual next pivot level
Market Traffic LightThis indicator visualizes warning and panic signs, which are shown separately.
1. Section (Fear & Greed)
Approximation of the CNN Money Fear & Greed index based on code of user MagicEins. The index shows values between 0 (extreme fear, red) and 100 (extreme greed, green).
2. Section (warning signs)
VIX: Values above 20 are red and below green. The legend shows the value of the current bar including the change from the bar before. The average VIX is about 16. Values over 20 are a sign of stressed market.
Distribution days: A distribution day (loss to the day before > 0,2 % and higher volume) is marked with a yellow dot. In case there are more than four distributions days within 25 markets days the dot is orange. When big players redistribute their investments distribution days can occur. If this is done often (more than four times within 25 market days) it is possible that the markets changes or that a sector rotation occurs. For calculation distribution days futures of S&P 500 (ES1!) and NASDAQ (NQ1!) are used because the volume for this calculation is needed. TradingView does not support volumes for S&P 500 or NASDAQ directly.
Markets: A green/red dot signals that the market is above/below its 25-Daily-EMA. A green/red square signals that the market is above/below its 25-Weekly-EMA. Markets can give as a feeling about where investors store their money. E.g. when markets are falling but DUX (Down Jones Utility Average) is rising this means that investors put their money into save haven. This can be a sign that the markets will fall more.
3. Section (panic signs, = signs of reaching a low within a correction of a crash)
VIX-Reversion: A VIX reversion day (VIX > 20 & VIX high > VIX high of the day before & VIX high – VIX close > 3) is marked as a yellow dot
VVIX: A value equal or above 140 is marked with a yellow dot and shows absolute panic.
PCR Intra max: A value equal or above 1.4 is marked with a yellow dot.
New high/lows: New highs/lows are shown for AMEX, NYSE and NASDAQ. A yellow dot is shown if the ratio is less or equal than 0.01.
Down-Day: Down days are shown for AMEX, NYSE and NASDA. A yellow dot is shown if at least 90 % of the whole volume (up and down) is a down volume.
In Addition to the warning signs in the second section a check of the Advance Decline Line (NYSE and NASDAQ) for bullish and bearish divergences is useful. The whole set-up can be seen in the screenshot.
Only one signal normally does not give us a good prediction. Therefore we need to see these indication as a bundle. TradingView gives us the opportunity to check some striking market situations in the past. So feel free to test this indication for building up your own opinion.
Please feel free to comment in case of failures, improvements or experiences (good or bad).
Machine Learning: Logistic RegressionMulti-timeframe Strategy based on Logistic Regression algorithm
Description:
This strategy uses a classic machine learning algorithm that came from statistics - Logistic Regression (LR).
The first and most important thing about logistic regression is that it is not a 'Regression' but a 'Classification' algorithm. The name itself is somewhat misleading. Regression gives a continuous numeric output but most of the time we need the output in classes (i.e. categorical, discrete). For example, we want to classify emails into “spam” or 'not spam', classify treatment into “success” or 'failure', classify statement into “right” or 'wrong', classify election data into 'fraudulent vote' or 'non-fraudulent vote', classify market move into 'long' or 'short' and so on. These are the examples of logistic regression having a binary output (also called dichotomous).
You can also think of logistic regression as a special case of linear regression when the outcome variable is categorical, where we are using log of odds as dependent variable. In simple words, it predicts the probability of occurrence of an event by fitting data to a logit function.
Basically, the theory behind Logistic Regression is very similar to the one from Linear Regression, where we seek to draw a best-fitting line over data points, but in Logistic Regression, we don’t directly fit a straight line to our data like in linear regression. Instead, we fit a S shaped curve, called Sigmoid, to our observations, that best SEPARATES data points. Technically speaking, the main goal of building the model is to find the parameters (weights) using gradient descent.
In this script the LR algorithm is retrained on each new bar trying to classify it into one of the two categories. This is done via the logistic_regression function by updating the weights w in the loop that continues for iterations number of times. In the end the weights are passed through the sigmoid function, yielding a prediction.
Mind that some assets require to modify the script's input parameters. For instance, when used with BTCUSD and USDJPY, the 'Normalization Lookback' parameter should be set down to 4 (2,...,5..), and optionally the 'Use Price Data for Signal Generation?' parameter should be checked. The defaults were tested with EURUSD.
Note: TradingViews's playback feature helps to see this strategy in action.
Warning: Signals ARE repainting.
Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours/Days
Combo Backtest 123 Reversal & Laguerre-based RSI This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This is RSI indicator which is more sesitive to price changes.
It is based upon a modern math tool - Laguerre transform filter.
With help of Laguerre filter one becomes able to create superior
indicators using very short data lengths as well. The use of shorter
data lengths means you can make the indicators more responsive to
changes in the price.
WARNING:
- For purpose educate only
- This script to change bars colors.
Machine Learning: Perceptron-based strategyPerceptron-based strategy
Description:
The Learning Perceptron is the simplest possible artificial neural network (ANN), consisting of just a single neuron and capable of learning a certain class of binary classification problems. The idea behind ANNs is that by selecting good values for the weight parameters (and the bias), the ANN can model the relationships between the inputs and some target.
Generally, ANN neurons receive a number of inputs, weight each of those inputs, sum the weights, and then transform that sum using a special function called an activation function. The output of that activation function is then either used as the prediction (in a single neuron model) or is combined with the outputs of other neurons for further use in more complex models.
The purpose of the activation function is to take the input signal (that’s the weighted sum of the inputs and the bias) and turn it into an output signal. Think of this activation function as firing (activating) the neuron when it returns 1, and doing nothing when it returns 0. This sort of computation is accomplished with a function called step function: f(z) = {1 if z > 0 else 0}. This function then transforms any weighted sum of the inputs and converts it into a binary output (either 1 or 0). The trick to making this useful is finding (learning) a set of weights that lead to good predictions using this activation function.
Training our perceptron is simply a matter of initializing the weights to zero (or random value) and then implementing the perceptron learning rule, which just updates the weights based on the error of each observation with the current weights. This has the effect of moving the classifier’s decision boundary in the direction that would have helped it classify the last observation correctly. This is achieved via a for loop which iterates over each observation, making a prediction of each observation, calculating the error of that prediction and then updating the weights accordingly. In this way, weights are gradually updated until they converge. Each sweep through the training data is called an epoch.
In this script the perceptron is retrained on each new bar trying to classify this bar by drawing the moving average curve above or below the bar.
This script was tested with BTCUSD, USDJPY, and EURUSD.
Note: TradingViews's playback feature helps to see this strategy in action.
Warning: Signals ARE repainting.
Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours+/Days
Combo Backtest 123 Reversal & Signal To Noise This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
The signal-to-noise (S/N) ratio.
And Simple Moving Average.
WARNING:
- For purpose educate only
- This script to change bars colors.
Relative Volume at Time█ OVERVIEW
This indicator calculates relative volume, which is the ratio of present volume over an average of past volume.
It offers two calculation modes, both using a time reference as an anchor.
█ CONCEPTS
Calculation modes
The simplest way to calculate relative volume is by using the ratio of a bar's volume over a simple moving average of the last n volume values.
This indicator uses one of two, more subtle ways to calculate both values of the relative volume ratio: current volume:past volume .
The two calculations modes are:
1 — Cumulate from Beginning of TF to Current Bar where:
current volume = the cumulative volume since the beginning of the timeframe unit, and
past volume = the mean of volume during that same relative period of time in the past n timeframe units.
2 — Point-to-Point Bars at Same Offset from Beginning of TF where:
current volume = the volume on a single chart bar, and
past volume = the mean of volume values from that same relative bar in time from the past n timeframe units.
Timeframe units
Timeframe units can be defined in three different ways:
1 — Using Auto-steps, where the timeframe unit automatically adjusts to the timeframe used on the chart:
— A 1 min timeframe unit will be used on 1sec charts,
— 1H will be used for charts at 1min and less,
— 1D will be used for other intraday chart timeframes,
— 1W will be used for 1D charts,
— 1M will be used for charts at less than 1M,
— 1Y will be used for charts at greater or equal than 1M.
2 — As a fixed timeframe that you define.
3 — By time of day (for intraday chart timeframes only), which you also define. If you use non-intraday chart timeframes in this mode, the indicator will switch to Auto-steps.
Relative Relativity
A relative volume value of 1.0 indicates that current volume is equal to the mean of past volume , but how can we determine what constitutes a high relative volume value?
The traditional way is to settle for an arbitrary threshold, with 2.0 often used to indicate that relative volume is worthy of attention.
We wanted to provide traders with a contextual method of calculating threshold values, so in addition to the conventional fixed threshold value,
this indicator includes two methods of calculating a threshold channel on past relative volume values:
1 — Using the standard deviation of relative volume over a fixed lookback.
2 — Using the highs/lows of relative volume over a variable lookback.
Channels calculated on relative volume provide meta-relativity, if you will, as they are relative values of relative volume.
█ FEATURES
Controls in the "Display" section of inputs determine what is visible in the indicator's pane. The next "Settings" section is where you configure the parameters used in the calculations. The "Column Coloring Conditions" section controls the color of the columns, which you will see in three of the five display modes available. Whether columns are plotted or not, the coloring conditions also determine when markers appear, if you have chosen to show the markers in the "Display" section. The presence of markers is what triggers the alerts configured on this indicator. Finally, the "Colors" section of inputs allows you to control the color of the indicator's visual components.
Display
Five display modes are available:
• Current Volume Columns : shows columns of current volume , with past volume displayed as an outlined column.
• Relative Volume Columns : shows relative volume as a column.
• Relative Volume Columns With Average : shows relative volume as a column, with the average of relative volume.
• Directional Relative Volume Average : shows a line calculated using the average of +/- values of relative volume.
The positive value of relative volume is used on up bars; its negative value on down bars.
• Relative Volume Average : shows the average of relative volume.
A Hull moving average is used to calculate the average used in the three last display modes.
You can also control the display of:
• The value or relative volume, when in the first three display modes. Only the last 500 values will be shown.
• Timeframe transitions, shown in the background.
• A reminder of the active timeframe unit, which appears to the right of the indicator's last bar.
• The threshold used, which can be a fixed value or a channel, as determined in the next "Settings" section of inputs.
• Up/Down markers, which appear on transitions of the color of the volume columns (determined by coloring conditions), which in turn control when alerts are triggered.
• Conditions of high volatility.
Settings
Use this section of inputs to change:
• Calculation mode : this is where you select one of this indicator's two calculation modes for current volume and past volume , as explained in the "Concepts" section.
• Past Volume Lookback in TF units : the quantity of timeframe units used in the calculation of past volume .
• Define Timeframes Units Using : the mode used to determine what one timeframe unit is. Note that when using a fixed timeframe, it must be higher than the chart's timeframe.
Also, note that time of day timeframe units only work on intraday chart timeframes.
• Threshold Mode : Five different modes can be selected:
— Fixed Value : You can define the value using the "Fixed Threshold" field below. The default value is 2.0.
— Standard Deviation Channel From Fixed Lookback : This is a channel calculated using the simple moving average of relative volume
(so not the Hull moving average used elsewhere in the indicator), plus/minus the standard deviation multiplied by a user-defined factor.
The lookback used is the value of the "Channel Lookback" field. Its default is 100.
— High/Low Channel From Beginning of TF : in this mode, the High/Low values reset at the beginning of each timeframe unit.
— High/Low Channel From Beginning of Past Volume Lookback : in this mode, the High/Low values start from the farthest point back where we are calculating past volume ,
which is determined by the combination of timeframe units and the "Past Volume Lookback in TF units" value.
— High/Low Channel From Fixed Lookback : In this mode the lookback is fixed. You can define the value using the "Channel Lookback" field. The default value is 100.
• Period of RelVol Moving Average : the period of the Hull moving average used in the "Directional Relative Volume Average" and the "Relative Volume Average".
• High Volatility is defined using fast and slow ATR periods, so this represents the volatility of price.
Volatility is considered to be high when the fast ATR value is greater than its slow value. Volatility can be used as a filter in the column coloring conditions.
Column Coloring Conditions
• Eight different conditions can be turned on or off to determine the color of the volume columns. All "ON" conditions must be met to determine a high/low state of relative volume,
or, in the case of directional relative volume, a bull/bear state.
• A volatility state can also be used to filter the conditions.
• When the coloring conditions and the filter do not allow for a high/low state to be determined, the neutral color is used.
• Transitions of the color of the volume columns determined by coloring conditions are used to plot the up/down markers, which in turn control when alerts are triggered.
Colors
• You can define your own colors for all of the oscillator's plots.
• The default colors will perform well on light or dark chart backgrounds.
Alerts
• An alert can be defined for the script. The alert will trigger whenever an up/down marker appears in the indicator's display.
The particular combination of coloring conditions and the display settings for up/down markers when you create the alert will determine which conditions trigger the alert.
After alerts are created, subsequent changes to the conditions controlling the display of markers will not affect existing alerts.
• By configuring the script's inputs in different ways before you create your alerts, you can create multiple, functionally distinct alerts from this script.
When creating multiple alerts, it is useful to include in the alert's message a reminder of the particular conditions you used for each alert.
• As is usually the case, alerts triggering "Once Per Bar Close" will prevent repainting.
Error messages
Error messages will appear at the end of the chart upon the following conditions:
• When the combination of the timeframe units used and the "Past Volume Lookback in TF units" value create a lookback that is greater than 5000 bars.
The lookback will then be recalculated to a value such that a runtime error does not occur.
• If the chart's timeframe is higher than the timeframe units. This error cannot occur when using Auto-steps to calculate timeframe units.
• If relative volume cannot be calculated, for example, when no volume data is available for the chart's symbol.
• When the threshold of relative volume is configured to be visible but the indicator's scale does not allow it to be visible (in "Current Volume Columns" display mode).
█ NOTES
For traders
The chart shown here uses the following display modes: "Current Volume Columns", "Relative Volume Columns With Average", "Directional Relative Volume Average" and "Relative Volume Average". The last one also shows the threshold channel in standard deviation mode, and the TF Unit reminder to the right, in red.
Volume, like price, is a value with a market-dependent scale. The only valid reference for volume being its past values, any improvement in the way past volume is calculated thus represents a potential opportunity to traders. Relative volume calculated as it is here can help traders extract useful information from markets in many circumstances, markets with cyclical volume such as Forex being one, obvious case. The relative nature of the values calculated by this indicator also make it a natural fit for cross-market and cross-sector analysis, or to identify behavioral changes in the different futures contracts of the same market. Relative volume can also be put to more exotic uses, such as in evaluating changes in the popularity of exchanges.
Relative volume alone has no directional bias. While higher relative volume values always indicate higher trading activity, that activity does not necessarily translate into significant price movement. In a tightly fought battle between buyers and sellers, you could theoretically have very large volume for many bars, with no change whatsoever in bid/ask prices. This of course, is unlikely to happen in reality, and so traders are justified in considering high relative volume values as indicating periods where more attention is required, because imbalances in the strength of buying/selling power during high-volume trading periods can amplify price variations, providing traders with the generally useful gift of volatility.
Be sure to give the "Directional Relative Volume Average" a try. Contrary to the always-positive ratio widely used in this indicator, the "Directional Relative Volume Average" produces a value able to determine a bullish/bearish bias for relative volume.
Note that realtime bars must be complete for the relative volume value to be confirmed. Values calculated on historical or elapsed realtime bars will not recalculate unless historical volume data changes.
Finally, as with all indicators using volume information, keep in mind that some exchanges/brokers supply different feeds for intraday and daily data, and the volume data on both feeds can sometimes vary quite a bit.
For coders
Our script was written using the PineCoders Coding Conventions for Pine .
The description was formatted using the techniques explained in the How We Write and Format Script Descriptions PineCoders publication.
Bits and pieces of code were lifted from the MTF Selection Framework and the MTF Oscillator Framework , also by PineCoders.
█ THANKS
Thanks to dgtrd for suggesting to add the channel using standard deviation.
Thanks to adolgov for helpful suggestions on calculations and visuals.
Look first. Then leap.
Heikin-Ashi Change Strategy/ Indicator
Today I bring you a simple and efficient indicator/strategy based only on HA.
Can be used together with other TA tools or alone.
The idea behind is simple :
We have to forms to calculate the candle, using inner HA candles or normal candles. Once we have that we apply certain rules to get the max high, min low, open and close(ohlc)
With that then we check for changing in the patters like for example
For long close is higher than open and the previos close is lower than open. For short is going to be the opposite of long condition.
For the purpose of this example, I only use long direction and exit once we have the short signal.
If you have any questions, please let me know in private chat !
Expected Range and SkewThis is an open source and updated version of my previous "Confidence Interval" script. This script provides you with the expected range over a given time period in the future and the skew of that range. For example, if you wanted to know the expected 1 standard deviation range of MSFT over the next 20 days, this will tell you that. Additionally, this script will also tell you the skew of the expected range.
How to use this script:
1) Enter the length, this will determine the number of data points used in the calculation of the expected range.
2) Enter the amount of time you want projected forward in minutes, hours, and days.
3) Input standard deviation of the expected range.
4) Pick the type of data you want shown from the dropdown menu. Your choices are either the expected range or the skew of the expected range.
5) Enter the x and y coordinates of the label (optional). This is useful so it doesn't impede your view of the plot.
Here are a few notes about this script:
First, the expected range line gives you the width of said range (upper bound - lower bound), and the label will tell you specifically what the upper and lower bounds of the expected range are.
Second, this script will work on any of the default timeframes, but you need to be careful with how far out you try to project the expected range depending on the timeframe you're using. For example, if you're using the 1min timeframe, it probably won't do you any good trying to project the expected range over the next 20 days; or if you're using the daily timeframe it doesn't make sense to try to project the expected range for the next 5 hours. You can tell if the time horizon you're trying to project doesn't work well with the chart timeframe you're using if the current price is outside of either the upper or lower bounds provided in the label. If the current price is within the upper and lower bounds provided in the label, then the time horizon that you're projecting over is reasonable for the chart timeframe you're using.
Third, this script does not countdown automatically, so the time provided in the label will stay the same. For example, in the picture above, the expected range of Dow Futures over the next 23 days from January 12th, 2021 is calculated. But when tomorrow comes it won't count down to 22 days, instead it will show the range over the next 23 days from January 13th, 2021. So if you want the time horizon to change as time goes on you will have to update this yourself manually.
Lastly, if you try to set an alert on this script, you will get a warning about it possibly repainting. This is because of the label, not the plot itself. The label constantly updates itself, which triggers the warning. I tested setting alerts on this script both with and without the inclusion of the label, and without the label the repainting warning did not occur. So remember, if you set an alert on this script you will get a warning about it possibly repainting, but this is because of the label constantly updating, not the plot itself.
Exponential Regression Slope Annualized with R-squared HistogramMy other indicator shows the linear regression slope of the source. This one finds the exponential regression slope and optionally multiplies it by R-squared and optionally annualizes it. Multiplying by R-squared makes sure that the price movement was significant in order to avoid volatile movements that can throw off the slope value. Annualizing the exponential slope will let you see how much percentage you will make in a year if the price continues at its current pace.
The annualized number is the number of trading days in a year. This and the length might need adjusting for the extra bars that might be in futures or other markets. The number does not have to be a year. For example, it can be a month if you set the number to 20 or so trading days to find how much you would make in a month if price continues at its current pace, etc. This can also be used as an alternative to relative strength or rate of change.
Exchanges [Intromoto]This indicator shows the popular crypto exchanges for Bitcoin spot and futures . This allows you to not have all of the "compare" indicators on the chart, as this combines it all in one.
This indicator can be useful to show contango or backwardation between spot and derivative prices via exchange, giving potential indication for funding and reversal. Based on resolution restrictions, this will only show down to the 1 minute price.
I'll be updating it with more exchanges as I see fit.
Donchian Channels with StrategyDonchian Channels are three lines generated by moving average calculations that comprise an indicator formed by upper and lower bands around a mid-range or median band. The upper band marks the highest price of a security over N periods while the lower band marks the lowest price of a security over N periods. The area between the upper and lower bands represents the Donchian Channel. Career futures trader Richard Donchian developed the indicator in the mid-twentieth century to help him identify trends. He would later be nicknamed "The Father of Trend Following."
How To Calculate Donchian Channels
Channel High:
Choose time period (N minutes/hours/days/weeks/months).
Compare the high print for each minute, hour, day, week or month over that period.
Choose the highest print.
Plot the result.
Channel Low:
Choose time period (N minutes/hours/days/weeks/months).
Compare the low print for each minute, hour, day, week or month over that period.
Choose the lowest print.
Plot the result.
Center Channel:
Choose time period (N minutes/hours/days/weeks/months).
Compare high and low prints for each minute, hour, day, week or month over that period.
Subtract the highest high print from lowest low print and divide by 2.
Plot the result.
This scripts gives you to alerts
If price above the center channel this means BUY and script tells you are at the BUY ZONE
Effective Divergence Indicator
What is EffDI?
Effective Divergence Indicator(EffDI) is a modified Momentum indicator designed to detect divergences in stocks, futures, forex, and crypto, just to name a few.
How does it work?
It uses the EMA of daily velocity.
Isn't this the same as Momentum
No. Momentum compares the price x days ago, while this takes the EMA of the daily velocity.
Why is it better than momentum in detecting divergence?
Because it uses an EMA, an EMA gives weight to the latest prices. I don't know how to explain the logic behind this, but it works :)
ok,ok, I get it, but how do I use it to buy, sell, and get a ton of profits?
Refer to the diagram below.
Steps:
Step 1: Locate the divergence(marked A,B,C and D): no divergence, no trade.
Step 2: Locate the last EffDI high. Mark that E.
Step 3(entry): Buy when price goes above E. For shorts, Short Sell when price goes below E.
Step 4(exit): Exit position when another divergence is detected,
OR
When A new Lower Low is formed.
As you can see, if you follow the steps, there is a good chance the profits will come to you. Cheers!
DO YOU WANT MORE GOOD INDICATORS LIKE THESE TO IMPROVE YOUR TRADING? Then, make sure to follow @Trader_ph (or i will eat all of your cookies)
Feel free to use my code below, BUT make sure to credit me if you make any modifications. :)
Machine Learning: kNN-based StrategykNN-based Strategy (FX and Crypto)
Description:
This strategy uses a classic machine learning algorithm - k Nearest Neighbours (kNN) - to let you find a prediction for the next (tomorrow's, next month's, etc.) market move. Being an unsupervised machine learning algorithm, kNN is one of the most simple learning algorithms.
To do a prediction of the next market move, the kNN algorithm uses the historic data, collected in 3 arrays - feature1, feature2 and directions, - and finds the k-nearest
neighbours of the current indicator(s) values.
The two dimensional kNN algorithm just has a look on what has happened in the past when the two indicators had a similar level. It then looks at the k nearest neighbours,
sees their state and thus classifies the current point.
The kNN algorithm offers a framework to test all kinds of indicators easily to see if they have got any *predictive value*. One can easily add cog, wpr and others.
Note: TradingViews's playback feature helps to see this strategy in action.
Warning: Signals ARE repainting.
Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours+++/Days
ABUs EurorampThis strategy backtests the opening ramp of Europe at 9am European time, which is 2am Chicago time ( CME ES timezone ) on the ES Futures Contract.
The following conditions are embedded in the strategy:
- Market entry at 2 am Chicago time
- Size = 2 contracts
- Stop = -5 points
- TP 1 = +3 points (1 Contract)
- Stop to Break even (entry + 0.5) after TP 1 is reached
- Set a TP 2 stop to +5 if entry is +10 points
- Close all positions EOD RTH
As the script entry / stops / TPs work on candle closes, best is to use the strategy on the 5min chart.
