Multi SMI Ergodic OscillatorThe Multi SMI Ergodic Oscillator (Multi SMIEO) indicator can be used to identify potential buy and sell signals based on the relationship between the TSI and EMA lines.
The script is creating an indicator that plots multiple (3) sets of Time Series Indicator (TSI-Indicator) and Exponential Moving Average (EMA-Signal) lines as a single indicator.
The TSI is a momentum oscillator that helps identify overbought and oversold conditions. It is calculated using the close prices of an asset, a short-term moving average, and a long-term moving average. The script uses three different pairs of input values for the short-term and long-term periods, which can be adjusted by the user.
The EMA is a type of moving average that gives more weight to recent prices. It is calculated by applying a weighting factor to the most recent price, and then adding that weighted value to the previous EMA value. The script uses three different input values for the length of the EMA, which can also be adjusted by the user.
After calculating the TSI and EMA for each set, the script plots them on the same graph, with different colors and widths to differentiate them. The three sets of TSI and EMA lines are plotted to allow the user to compare the results of different periods. The script also plots a horizontal line at zero, which is used as a reference point for the oscillations of the indicator lines.
One way to use this indicator is to look for crossovers between the TSI and the EMA lines. A bullish crossover occurs when the TSI crosses above the EMA. This suggests that the buying pressure is increasing and a potential buy signal is generated. A bearish crossover occurs when the TSI crosses below the EMA. This suggests that the selling pressure is increasing and a potential sell signal is generated.
Some other ways that the indicator can be used include:
1. Identifying trends: The TSI and EMA lines can be used to identify the direction of the trend. An uptrend is present when the TSI and EMA lines are both trending upwards, while a downtrend is present when the TSI and EMA lines are both trending downwards.
2. Overbought and oversold conditions: The TSI can be used to identify overbought and oversold conditions. When the TSI is above the upper limit of the range, the asset is considered overbought and may be due for a price correction. Conversely, when the TSI is below the lower limit of the range, the asset is considered oversold and may be due for a price rebound.
3. Confirming price action: The Multi SMIEO indicator can be used to confirm price action. If a bullish divergence is present, it confirms a potential bullish reversal. If a bearish divergence is present, it confirms a potential bearish reversal.
4. Multiple time frame analysis: By using different periods for the TSI and EMA lines, the indicator can be used to analyze the asset on multiple time frames. It can be useful to compare the results of different periods to get a better understanding of the asset's price movements.
5. Risk management: This indicator can be used as an element of risk management strategy, it can help traders to identify overbought and oversold conditions to set stop loss or take profit levels.
The Multi SMI Ergodic Oscillator (Multi SMIEO) is a versatile indicator that can be used in a number of ways to analyze the price movements of an asset. It can be used to identify potential buy and sell signals, trends, overbought and oversold conditions, and to confirm price action. By using different periods for the TSI and EMA lines, the indicator can also be used to analyze the asset on multiple time frames. However, it is important to remember that indicators are based on historical data, and past performance does not guarantee future results.
It is important to use the indicator as part of a comprehensive trading strategy that includes risk management and other analysis techniques, such as fundamental and technical analysis. It is also important to keep in mind that indicators are not a standalone solution for trading, they should be used in conjunction with other market analysis and research techniques to generate better results.
Lastly, it is important to keep in mind that trading in financial markets comes with a certain level of risk and it is crucial to always have a proper risk management plan in place. Never invest more than you can afford to lose.
Trend
Probability Oscillator (Expo)█ Overview
The Probability Oscillator uses a Bayesian approach to measure the probability of a price movement and trend continuation. This approach considers the prior probability of a price movement and the current market conditions to identify trends, sentiment, momentum, and retracements.
█ How does the indicator work?
The Probability Oscillator is based on the idea of Bayesian probability , which is a way of using existing data to make predictions about the likelihood of an event occurring. This indicator uses the Bayesian probability model to analyze past trading activity and calculate the probability of a trend continuing. This function also considers the prior probability of a price movement and the current market conditions to analyze the likelihood of a retracement.
█ How to use
Investors can use this indicator to measure the market sentiment and the strength/direction of a trend. It does also give insights into momentum moves and retracements.
█ Indicator Customization
The user can change the trend approaches and input source as well as adjust the overbought and oversold areas to make the calculation more sensitive to retracements.
The user can change the sensitivity of the momentum function to adjust it only to identify the most significant momentum moves.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Market Structure MA Based BOS [liwei666]
🎲 Overview
🎯 This BOS(Break Of Structure) indicator build based on different MA such as EMA/RMA/HMA, it's usually earlier than pivothigh() method
when trend beginning, customer your BOS with 2 parameters now.
🎲 Indicator design logic
🎯 The logic is simple and code looks complex, I‘ll explain core logic but not code details.
1. use close-in EMA's highest/lowest value mark as SWING High/Low when EMA crossover/under,
not use func ta.pivothigh()/ta.pivotlow()
2. once price reaching EMA’s SWING High/Low, draw a line link High/Low to current bar, labled as BOS
3. find regular pattern benefit your trading.
🎲 Settings
🎯 there are 4 input properties in script, 2 properties are meaningful in 'GRP1' another 2 are display config in 'GRP2'.
GRP1
MA_Type: MA type you can choose(EMA/RMA/SMA/HMA), default is 'HMA'.
short_ma_len: MA length of your current timeframe on chart
GRP2
show_short_zz: Show short_ma Zigzag
show_ma_cross_signal: Show ma_cross_signal
🎲 Usage
🎯 BOS signal usually worked fine in high volatility market, low volatility is meaningless.
🎯 We can see that it performs well in trending market of different symbols, and BOS is an opportunity to add positions
BINANCE:BTCUSDTPERP
BINANCE:ETHUSDTPERP
🎯 MA Based signal is earlier than pivothigh()/pivotlow() method when trend beginning. it means higher profit-loss rate.
🎯 any questions or suggestion please comment below.
Additionally, I plan to publish 20 profitable strategies in 2023; indicatior not one of them,
let‘s witness it together!
Hope this indicator will be useful for you :)
enjoy! 🚀🚀🚀
Trend Movement S1-TMIdea:
This script combines: Moving Average (MA), Directional Movement (DMI), MACD
When condition of long or short position from all mentioned indicator are met script opens position. Once trend changes, it closes the position.
Then add some filter conditions to avoid noise.
Concept:
(Note that we take the close to get the closing price)
-Using only cross up down with MA will give a reversal point, but the downside is that it can be noisy.
-MACD will show the current trend detected by cross point.
-Then the +DI , -DI , ADX values are taken into account to confirm the price direction and movement strength.
-This strategy solves this problem by combining 2 more moving averages called 2 trend lines 1 long and 1 short. When the short line crosses up, it will show that the price trend is increasing (at this time the background between these 2 lines will be green) and vice versa (red). To determine if the current trend is bullish or bearish . This will avoid buying when price tend to go down.
-However, there will be many points where some more complex logic is needed. It will add conditions and calculate the probabilities before triggering the signals (You can see them through the item symbols B1, B2, ... ).
How it works:
1. The thin line is stand for short term moving average, and the thick line is stand for long term moving average.
If thin lines cross the thick lines, their color and background will turn green, the price is tend to go up (Uptrend).
If thin lines cross down thick lines, their color and background will turn red, the price is tend to go down (Downtrend).
2. Ability to check the checkbox in setting to show the Golden/De*ath cross.
The yellow symbol "+" is the Golden cross.
The black symbol "+" is the De*th cross.
3. Buy and Sell are show clearly on strategy as the buy and sell point. The default source from bar is CLOSE
4. Setting "Buy only" it using for spot market.
5. When "Not buy in down trend" is checked, it will not trigger buy when in down trend (thin lines cross down thick lines like description in 1.)
6. Setting High spread will call Close buy when it match the High spread bar with the High spread % value
7. It provides setting "Back test From date/To date" for backtest feature. You can set "BacktestFrom date" as the begin of test period. If check box "Using To Date" is check: "Backtest To Date" will be the end of test period.
Suitable time frames:
4h, 1D, 1W
* Please note that this logic does not attempt to predict future prices or 100% accurate signal; Strategy Tester are available to test the profitability of this strategy.
(INVITE ONLY indicator. Please direct message or visit website to try it out)
Hope you guys enjoy!
Examples:
BTCUSD 4H
TSLA 4H
[UPRIGHT Trading] Aroon Exit OscillatorHello Traders -
I'm releasing this as a friend was talking about how he used to use it as an exit indicator. The Aroon Oscillator isn't the most accurate for entries, but we find its strength in its exits.
The Aroon Oscillator was developed by legendary technical analyst, T. Chande , in 1995 as part of his "Aroon Indicator system." Chande's intention was for his system to determine trend changes. The name "Aroon" comes from the Sanskrit language and roughly translates to "Dawn's early light."
Typically, Aroon uses 25 periods; looking for the high and low 25 periods back, to show its "Aroon Up" and "Aroon Down" lines. The Aroon lines go from 0 to 100, with 100 showing a strong trend and 0 showing a weak trend.
The Aroon Oscillator is like the DMI (Directional Movement Index) created by W. Wilder, in that it, too, uses up and down directional lines; however, Aroon is looking at periods back, while DMI looks at Price difference.
I do not recommend using this indicator alone, it will give late or false signals. Only really meant as a complimentary indicator.
Included:
—A clean interface.
—Zones for easier identification of the indicator's lines movements.
—Exit Signals - All signals are off by default, but these use around the 80 level for and an exit.
—Exit Short and Exit Long alerts.
—Added Option of Early Exits for Both Long and Short.
—Attempted to Add Buy/Sell Signals
—Default is without signals.
Cheers,
Mike
(UPRIGHT Trading)
HL-D Close Fraction Oscillator | AdulariDescription:
This indicator calculates the difference between price high's and low's, and fractions it by the close price. If it calculates the difference between a high and low or low and high is defined by whether the current close is higher than the previous close. It is then also rescaled to ensure the value is always appropriate compared to the last set amount of bars.
This indicator can be used to determine whether a market is trending or ranging, and if so in which direction it is trending.
How do I use it?
Never use this indicator as standalone trading signal, it should be used as confluence.
When the value is above the middle line this shows the bullish trend is strong.
When the value is below the middle line this shows the bearish trend is strong.
When the value crosses above the upper line this indicates the trend may reverse downwards.
When the value crosses below the lower line this indicates the trend may reverse upwards.
When the value crosses above the signal this indicates the current bearish trend is getting weak and may reverse upwards.
When the value crosses below the signal this indicates the current bullish trend is getting weak and may reverse downwards.
Features:
Oscillator value indicating the difference between highs and lows fractioned by the close price.
Signal indicating a clear trend and base line value.
Horizontal lines such as oversold, overbought and middle lines, indicating possible interest zones.
How does it work?
1 — Define trend by checking if current close is above or below previous close.
2 — If the current close is above the previous close, calculate the oscillator's value using this formula:
(high - low) / close
2 — If the current close is below the previous close, calculate the oscillator's value using this formula:
(low - high) / close
3 — Smooth the original value using a specified moving average.
4 — Rescale the value using this formula:
newMin + (newMax - newMin) * (value - oldMin) / math.max(oldMax - oldMin, 10e-10)
5 — Calculate signal value by applying smoothing to the oscillator's value.
BitCoin RSI TrendWhat is it?
This indicator will plot the RSI of BTC with a red or green background based on the top and bottom values which you can set.
How to use it?
For example, you want to trade only if the RSI of BTC is between 50 and 70, so the top value is 70 and bottom is 50. If the RSI value between those values the background will be green, else it will be red.
Why to use it?
The buy and sell strength of the BTC controls the other coins, and it is noticeable when the BTC is over sold and the RSI exceeding the 70, the price will reverse its movement to down, thus it is advisable to not open long position if the RSI of BTC is above the 70-75. Also, if the RSI is under 50 there is a big possibility to move down further to the over bought areas. The best is to buy a altcoins when the BTC RSI is between 50 and 70.
For example, I could avoid a bad long trade on MATICUSDT when the RSI of BTC is going under 50
Or, get a good long trade on MATICUSDT when the RSI of BTC is between 50 and 70
Cuban's Reversion Bands V2Cuban's Reversion Bands V2
Cubans Reversion Bands, are a great indication of price overextension by using specified standard deviations, extended from a moving average basis line, the Volume Weighted Average Trend.
Reversion Bands V2 builds off the original foundation in a big way but utilizes completely new band logic and a more stable basis line, the stability leads to a more consistent band reversion zones.
The basis line is calculated with volatility metrics and long term range determinants.
The band extension points are then weighted on this basis line with the asset's average extensions taken into consideration to fit each asset individually.
Users gain the ability to customize:
EQ Sensitivity
Band Sensitivity
EQ sensitivity will control the reaction time of the basis line e.g. a comparison of the default 1, and below an increase EQ to 100:
1 EQ Sensitivity (Default)
100 EQ Sensitivity
Band Sensitivity will control the distance of deviation from the basis point, this can be used to fine tune the reversion location which could be useful in higher beta environments.
1 Band Sensitivity
100 Band Sensitivity
As a result of overextension we can take this as a means for a potential market shift, for example, in range bound conditions we expect the market to revert at the given reversion zones in the Cuban Reversion Bands V2.
Failure to revert at a band level, and extension above could signify a change in market structure and lead to a trending environment thus giving us the ability to determine a trending environment.
To Do:
alerts
implement additional confluence via other proprietary tools to increase the signal ratio
Generalized Smooth StepHello, folks. Sorry for not posting anything for a long time, just busy with my university studies for the moment.
Quick script for today — Smooth Step.
You can search for it in Wikipedia, but saying shortly and informatively, this is just an advanced type of oscillator, used as momentum indicator.
In the codes across the Internet everybody uses the 3rd order equation, BUT I found it kinda boring to use indicator this simple, so I made an option to choose the order of the equation in the settings — parameter "Order of the equation". This why it is called generalized smooth step, as it makes possible to use equation of virtually any order.
It is limited to 18 because very strange behaviour that you get after passing 18th order (it jsut becomes not tradeable any longer).
As I've mentioned above, it is an advanced version of classical oscillator, used as momentum indicator .
How to use it?
If smooth step is above 50, then the price momentum is bullish;
If smooth step is below 50, then the price momentum is bearish.
As simple as it is, it becomes useful enough on the higher timeframes (>=1H), so feel free to play with it and find optimal settings for yourself.
Hints
Try perform different smoothing and leading methods (developed by Ehler) to get better results;
You can use smooth step as confirmation/filter for trend-following trades.
Hope you will find it valueable.
Take your profits!
- Tarasenko Fyodor
RU:
Привет, ребята. Извините, что долго ничего не выкладывал, просто сейчас занят учебой в университете.
Быстрый скрипт на сегодня — Smooth Step.
Вы можете поискать его теоретическое обоснование в Википедии, но если говорить кратко и информативно, то это совершенствованный тип классического осциллятора, используемый в качестве моментум-индикатора .
В кодах в интернете все используют уравнение 3-го порядка, НО Мне было скучно пользоваться таким простым индикатором, поэтому я сделал возможность выбирать порядок уравнения в настройках — параметр " Порядок уравнения». Поэтому он называется обобщеннымsmooth step, так как позволяет использовать уравнение практически любого порядка.
Я ограничил порядок уравнения 18 , потому что индикатор показывает начинается очень странное поведение, когда вы делаете порядок больше 18 (индикатор просто начинается вести семя хаотично, что ли).
Как я уже упоминал выше, это усовершенствованная версия классического осциллятора, используемого в качестве моментум-индикатора .
Как им пользоваться?
Если smooth step выше 50, то импульс цены бычий;
Если smooth steз\p ниже 50, то импульс цены медвежий.
Хоть это и очень простой индикатор, он может оказаться достаточно полезным на старших таймфреймах (>=1H), так что не стесняйтесь играть с ним и находить оптимальные настройки для себя.
Советы
Попробуйте использовать различные методы сглаживания и лидирования (разработан Джоном Элером (John Ehler)), чтобы получить лучшие результаты;
Вы можете использовать smooth step в качестве подтверждения/фильтра для сделок, следующих за трендом.
Надеюсь, этот скрипт будет вам полезен.
Получите прибыль!
- Тарасенко Фёдор
[GTH] Minervini++ (Minervini's trend template, augmented)This indicator summarizes many of famous trader Mark Minervini's investment criteria into one (hopefully) easy to read indicator.
It is comprised of two general sections: technical and fundamental.
Within the technical section there are 4/5 groups:
(1) Price location (above SMA 50/150/200). Optional: EMA 21
(2) SMAs sequence (SMA 50 above SMA 150 above SMA 200). Optional: EMA 21
(3) SMAs trending, based on a 21 day lookback (adjustable). Optional: EMA 21
(4) Price range (between 25% above 52W low and 25% below 52W high, adjustable)
(5) Optional: Relative Strength (MarketSmith style) in comparison to the SPY (adjustable). Disabled by default, since I personally don't find it very meaningful.
Within the fundamental section there are three groups:
(1) EPS growth over 4 quarters (adjustable), average growth over before mentioned number of quarters, growth acceleration over the same
(2) Revenue, same as for EPS
(3) Net Profit Margin, same as for EPS
There is a "LED" in front of every criterion. If fulfilled it's green, otherwise red. The horizontal "LED strips" summarize the results in a sorted manner, from left to right: green, yellow, red.
The indicator also plots the (EMA 21)/SMA 50/150/200 lines used by Minervini by default (can be disabled). The location on the screen can be chosen, as well as the text size. By default the 52W high/low lines are plotted as well (can be disabled).
Notes:
Although the calculations and values displayed at the right border are based on internally retrieved daily price data and should therefore be independent from the chart's time frame, at times some figures change when a different timeframe is selected.
On rare occasions the indicator is not displayed, but appears after reloading the chart.
Asteroid Belt ScreenerAsteroid Belt Screener Observe the market in relation to the dynamic trend strength Asteroids Belt indicator, reference for trend trading opportunities.
SCAN MULTI ASSETS WITH ALL 3 RESPONSIVE TIMES ALL AT ONCE
The New Compliment Indicator to the much loved Asteroids Belt, providing a unique way to scan the market, never miss an opportunity with multi Asset Alerts and customizable display.
With additional Pre configured Aggregators, users of asteroids belt will be pleased to know that the indicator does come with 50 automated aggregation settings,
Using the custom position coordinates X,Y users can load multiple instances of the screener, choose individual assets, place them on their chart as they wish and scan for 5 assets PER screener.
Users can also choose to use assets outside of the list of 50, and control the aggregators manually, this allows for complete customization with no limit to symbols.
Users are also given the chance to set alerts for the following:
Alerts
Bullish Trend: Fast,Normal Slow (belt trend color change)
Bearish Trend: Fast,Normal Slow (belt trend color change)
Entering Belt: Fast Normal Slow (belt level detections)
Leaving Belt: Fast,Normal Slow (belt level detections)
TO DO:
Additional alerts e.g. fast trend green with red slow belt. Allowing for filtered opportunities.
Increase pre made aggregator asset lists, and improve.
Trend Line Adam Moradi v1 (Tutorial Content)
The Pine Script strategy that plots pivot points and trend lines on a chart. The strategy allows the user to specify the period for calculating pivot points and the number of pivot points to be used for generating trend lines. The user can also specify different colors for the up and down trend lines.
The script starts by defining the input parameters for the strategy and then calculates the pivot high and pivot low values using the pivothigh() and pivotlow() functions. It then stores the pivot points in two arrays called trend_top_values and trend_bottom_values. The script also has two arrays called trend_top_position and trend_bottom_position which store the positions of the pivot points.
The script then defines a function called add_to_array() which takes in three arguments: apointer1, apointer2, and val. This function adds val to the beginning of the array pointed to by apointer1, and adds bar_index to the beginning of the array pointed to by apointer2. It then removes the last element from both arrays.
The script then checks if a pivot high or pivot low value has been calculated, and if so, it adds the value and its position to the appropriate arrays using the add_to_array() function.
Next, the script defines two arrays called bottom_lines and top_lines which will be used to store trend lines. It also defines a variable called starttime which is set to the current time.
The script then enters a loop to calculate and plot the trend lines. It first deletes any existing trend lines from the chart. It then enters two nested loops which iterate over the pivot points stored in the trend_bottom_values and trend_top_values arrays. For each pair of pivot points, the script calculates the slope of the line connecting them and checks if the line is a valid trend line by iterating over the price bars between the two pivot points and checking if the line is above or below the close price of each bar. If the line is found to be a valid trend line, it is plotted on the chart using the line.new() function.
Finally, the script colors the trend lines using the colors specified by the user.
Tutorial Content
'PivotPointNumber' is an input parameter for the script that specifies the number of pivot points to consider when calculating the trend lines. The value of 'PivotPointNumber' is set by the user when they configure the script. It is used to determine the size of the arrays that store the values and positions of the pivot points, as well as the number of pivot points to loop through when calculating the trend lines.
'up_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be upward trends. The value of 'up_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the upward trend lines. It determines the visual appearance of the upward trend lines on the chart.
'down_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be downward trends. The value of 'down_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the downward trend lines. It determines the visual appearance of the downward trend lines on the chart.
'pivothigh' is a variable in the script that stores the value of the pivot high point. It is calculated using the pivothigh() function, which returns the highest high over a specified number of bars. The value of 'pivothigh' is used in the calculation of the trend lines.
'pivotlow' is a variable in the script that stores the value of the pivot low point. It is calculated using the pivotlow() function, which returns the lowest low over a specified number of bars. The value of 'pivotlow' is used in the calculation of the trend lines.
'trend_top_values' is an array in the script that stores the values of the pivot points that are determined to be at the top of the trend. These are the pivot points that are used to calculate the upward trend lines.
'trend_top_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_top_values' array. These positions correspond to the locations of the pivot points on the chart.
'trend_bottom_values' is an array in the script that stores the values of the pivot points that are determined to be at the bottom of the trend. These are the pivot points that are used to calculate the downward trend lines.
'trend_bottom_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_bottom_values' array. These positions correspond to the locations of the pivot points on the chart.
apointer1 and apointer2 are variables used in the add_to_array() function, which is defined in the script. They are both pointers to arrays, meaning that they hold the memory addresses of the arrays rather than the arrays themselves. They are used to manipulate the arrays by adding new elements to the beginning of the arrays and removing elements from the end of the arrays.
apointer1 is a pointer to an array of floating-point values, while apointer2 is a pointer to an array of integers. The specific arrays that they point to depend on the arguments passed to the add_to_array() function when it is called. For example, if add_to_array(trend_top_values, trend_top_posisiton, pivothigh) is called, then apointer1 would point to the tval array and apointer2 would point to the tpos array.
'bottom_lines' (short for "Bottom Lines") is an array in the script that stores the line objects for the downward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
'top_lines' (short for "Top Lines") is an array in the script that stores the line objects for the upward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
Both 'bottom_lines' and 'top_lines' are arrays of type "line", which is a data type in PineScript that represents a line drawn on a chart. The line objects are created using the line.new() function and are used to draw the trend lines on the chart. The variables are used to store the line objects so that they can be manipulated and deleted later in the script.
Loops
maxline is a variable in the script that specifies the maximum number of trend lines that can be drawn on the chart. It is used to determine the size of the bottom_lines and top_lines arrays, which store the line objects for the trend lines.
The value of maxline is set to 3 at the beginning of the script, meaning that at most 3 trend lines can be drawn on the chart at a time. This value can be changed by the user if desired by modifying the assignment statement "maxline = 3".
'count_line_low' (short for "Count Line Low") is a variable in the script that keeps track of the number of downward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
'count_line_high' (short for "Count Line High") is a variable in the script that keeps track of the number of upward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
Both 'count_line_low' and 'count_line_high' are initialized to 0 at the beginning of the script and are incremented each time a new trend line is drawn. If either variable exceeds the value of maxline, then no more trend lines are drawn.
'pivot1', 'up_val1', 'up_val2', up1, and up2 are variables used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'pivot1' is a loop variable that is used to iterate through the pivot points (stored in the trend_bottom_values and trend_bottom_position arrays) that are being considered for use in the trend line calculation.
'up_val1' and 'up_val2' are variables that store the values of the pivot points that are used to calculate the downward trend line.
up1 and up2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in 'up_val1' and 'up_val2', respectively. These positions correspond to the locations of the pivot points on the chart.
'value1' and 'value2' are variables that are used to store the values of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine whether a trend line can be drawn between the two pivot points.
For example, if 'value1' is the value of a pivot point at the top of the trend and 'value2' is the value of a pivot point at the bottom of the trend, then a trend line can be drawn between the two points if 'value1' is greater than 'value2'. The values of 'value1' and 'value2' are used in the calculation of the slope and intercept of the trend line.
'position1' and 'position2' are variables that are used to store the positions (i.e., bar indices) of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine the distance between the pivot points, which is necessary for calculating the slope of the trend line.
For example, if 'position1' is the position of a pivot point at the top of the trend and 'position2' is the position of a pivot point at the bottom of the trend, then the distance between the two points is given by 'position1' - 'position2'. This distance is used in the calculation of the slope of the trend line.
'different', 'high_line', 'low_location', 'low_value', and 'valid' are variables that are used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'different' is a variable that stores the slope of the downward trend line being calculated. It is calculated as the difference in value between the two pivot points (stored in up_val1 and up_val2) divided by the distance between the pivot points (calculated using their positions, stored in up1 and up2).
'high_line' is a variable that stores the current value of the trend line being calculated at a given point in the loop. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop using the value of different.
'low_location' is a variable that stores the position (i.e., bar_index) on the chart of the point where the trend line being calculated first touches the low price. It is initialized to the position of the second pivot point (stored in up2) and is updated on each iteration of the loop if the trend line touches a lower low.
'low_value' is a variable that stores the value of the trend line at the point where it first touches the low price. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop if the trend line touches a lower low.
'valid' is a Boolean variable that is used to indicate whether the trend line being calculated is valid. It is initialized to true and is set to false if the trend line does not pass through all the lows between the pivot points. If valid is still true after the loop has completed, then the trend line is considered valid and is drawn on the chart.
d_value1, d_value2, d_position1, and d_position2 are variables that are used in the loop that calculates the upward trend lines in the script. They are used to store intermediate values during the calculation process.
d_value1 and d_value2 are variables that store the values of the pivot points that are used to calculate the upward trend line.
d_position1 and d_position2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in d_value1 and d_value2, respectively. These positions correspond to the locations of the pivot points on the chart.
The variables d_value1, d_value2, d_position1, and d_position2 have the same function as the variables uv1, uv2, up1, and up2, respectively, but for the calculation of the upward trend lines rather than the downward trend lines. They are used in a similar way to store intermediate values during the calculation process.
thank you.
Trend and Momentum DashboardI created this indicator to tell me when it's time to trade (going long) and when it's time to wait (or going short).
You can enter up to 13 ticker (default is S&P500 and key market segments).
For each ticker, fibonacci levels are calculated and represented either in 5 color or 3 color mode as single lines.
(Thanks to eykpunter for the fibonacci level implementation. I'm using his code and modified it slightly).
Color coding (5 color mode) explanation:
blue = in uptrend area
light blue = in prudent buyers area
gray = in center area
light red = in prudent sellers area
red = in downtrend area
The topline is a combination of all ticker and shows if the market is either bullish or bearish (threshold adjustable in settings)
The bullish/bearish trend can also be used as background color. Alternatively the last bar in the selected time period is been highlighted.
How to use it:
The indicator works on all timeframes. Use the color coding explanation above to see the status of each asset.
a) You can evaluate "long" term trend using day or week timeframe. e.g. I'm usually trading only long and stay out of the market when it is not bullish (top line & background = blue). I'm also using it to know which segments/assets are currently "hot".
b) You can evaluate short term momentum (using 1h or lower timeframe) and see in which direction the market/assets are moving. e.g. I use this when the exchanges open to see how the day is going to move.
I've attached 3 examples in the screenshot - first is the default, in the second one I'm using different asset classes and the third one is for crypto.
Limitations:
There are security request limits as well as string limitations for the security calls in pine script, so I went to the maximum what is currently possible.
(No financial advise, for testing purposes only)
Cosmic Channel LiteCosmic Channel Lite ( CC Lite) draws dynamic non-repainting trendlines and helps
⭐ know when a breakout is about to begin
⭐ predict the position and timing of the next swing reversal
⭐ predict sudden changes in volatility
⭐ recognize whether the price is in bearish or bullish territory
👀 HOW IT WORKS
Cosmic Channel Lite draws a dynamic channel consisting of a support line, basis line and resistance line. These are calculated by applying the Reduced Median Method to groups of moving averages of different type over several periods each, effectively taking 20 data points and reducing them to 3. In between, 6 internal levels are left to give context inside the channel with stable levels, the extremes of which help highlight the SR lines (see chart). The basis line color is determined by its smoothed angle with positive angles in green and negative in purple. The aim of this indicator is to provide a consistent and generic price context that works out-of-the-box and accordingly the settings have been stripped to the bare minimum with no need to continually adjust them.
📗 HOW TO USE IT
The Cosmic Channel Lite plots are meant to be used as a guide for entering and exiting positions and setting stop-loss and take profit levels. The indicator is deemed effective for any particular timeframe as long as the price stays within the maximum bounds of the indicator's plots. For this reason it is recommended to use Cosmic Channel Lite in a multi-chart layout where each chart has a different timeframe. The 5 primary strategies are:
long when the price reverses off of the support line and short when the price reverses off of the resistance line
long when the support line is highlighted and short when the resistance line is highlighted
long when the price breaks above the resistance line and short when the price breaks below the support line
long when the price moves above the basis line after being below it for a prolonged period and visa-versa (short when the price moves below the basis line)
long/short in the direction the price takes after a stable level ends
🔔 SMART ALERTS
Get notified at the most critical times by settings just one alert. Simply select CC Lite and Any alert() function call as the conditions when creating an alert and you will be tipped-off on bar-close as follows:
R─ (resistance line is highlighted)
S─ (support line is highlighted)
For example, an alert such as CC Lite 6h R─ would mean that during the last 6-hour bar the resistance line has been highlighted. The highlight lasts at least 15 bars from the first highlight bar regardless of price action.
Open DriveOpen Drive is a market profile concept introduced by Jim Dalton. It occurs when the price moves directionally and persistently for the first 30 minutes from the cash market open.
It is necessary to use 30-minute bars as there needs to be enough time to measure an extreme move of the cash open. This means there will be fewer trades than other strategies using faster time periodicities.
The script finds open drives from these time points 0700/ 0800 and 1300/1430.
The entry signal also has a breakout threshold using the 5-bar high and 5-bar low to only take trades moving away from the prior 5-bar range. This weeds out most mid-range trades and small range expansion bars.
If the price has had a strong move from the open and has broken either below the prior 5-bar low or above the prior 5-bar high by an amount equal to the prior 5-bar range a trade is entered in the direction of the move.
The Exit criteria; exit after 3 bars which is 90mins when using a 30min periodicity.
Note, this script is shared to show that momentum generated on or around the cash open tends to persist. The entry and exits of this strategy are quite naive but there are plenty of ways to take more aggressive entries on faster time frames when an open drive occurs. The times chosen for this strategy will suit stock index futures mainly. The user can experiment with other futures products and their corresponding pit/ cash open hours.
Google "open drive market profile" for more information on open drives and market profile concepts.
Happy trading!
Price Filter [AstrideUnicorn]The indicator calculates a fast price filter based on the closing price of the underlying asset. Overall, it is intended to provide a fast, reliable way to detect trend direction and confirm trend strength, using statistical measures of price movements.
The algorithm was adapted from Marcus Schmidberger's (2018) article "High Frequency Trading with the MSCI World ETF". It demeans the price time series using the long-term average and then normalizes it with the long-term standard deviation. The resulting time series is then compared to specified thresholds to determine the trend direction.
HOW TO USE
The indicator surface is colored green if the price is trending upwards and red if the price is trending downwards. If the indicator outline is the opposite color of the indicator surface, it indicates that the price is moving against the trend and the current trend may be losing strength.
If the 'Use threshold' setting is enabled, the indicator will be colored blue if its value is within the range defined by the upper and lower thresholds. This indicates that the price is trending sideways, or that the current trend is losing strength.
SETTNGS
Length - the length of the long-term average used to calculate the price filter. Recommended range 20 - 200. The sensitivity of the indicator increases as the value becomes smaller, allowing it to detect smaller price moves and swings earlier.
Threshold - the threshold value used to detect trend direction.
Use threshold - a boolean (true/false) input that determines whether to use the threshold value for confirmation.
Slope NormalizerBrief:
This oscillator style indicator takes another indicator as its source and measures the change over time (the slope). It then isolates the positive slope values from the negative slope values to determine a 'normal' slope value for each.
** A 'normal' value of 1.0 is determined by the average slope plus the standard deviation of that slope.
The Scale
This indicator is not perfectly linear. The values are interpolated differently from 0.0 - 1.0 than values greater than 1.0.
From values 0.0 to 1.0 (positive or negative): it means that the value of the slope is less than 'normal' **.
Any value above 1.0 means the current slope is greater than 'normal' **.
A value of 2.0 means the value is the average plus 2x the standard deviation.
A value of 3.0 means the value is the average plus 3x the standard deviation.
A value greater than 4.0 means the value is greater than the average plus 4x the standard deviation.
Because the slope value is normalized, the meaning of these values can remain generally the same for different symbols.
Potential Usage Examples/b]
Using this in conjunction with an SMA or WMA may indicate a change in trend, or a change in trend-strength.
Any values greater than 4 indicate a very strong (and unusual) trend that may not likely be sustainable.
Any values cycling between +1.0 and -1.0 may mean indecision.
A value that is decreasing below 0.5 may predict a change in trend (slope may soon invert).
Auto Trend Lines Breakouts and Bounces Signals and AlertsAuto Trend Lines Breakout with Confirmation Bounce Signals and Alerts
This indicator draws trend lines automatically based on the 2 pivot points, which are calculated based on the specified number of bars (length), which is of course customizable. The indicator then shows you when these trend lines get touched (potential bounce) or “almost touched” (Yes! The script can do that as well!) by the current price of the instrument or broken and then confirmed by the “after break come back touch” – classic! Everything is shown on the chart, and for everything - alarms can be set up with just a few clicks!
Now there are 2 modes here (you can hide all signals as well and just use the trend lines):
1) Current/recent trend lines only: will only show 2 current upper/lower trend lines as well as previous 2 for reference.
2) All time (historical) trend lines: will show 2 current upper/lower trend lines as well as the historical lines from the past and these lines are often very respected by the price!
Besides that, you can set the indicator to show you exactly what you want: Just the trend lines touches/bounces, breaks with confirmation touches/bounces or BOTH.
In addition to that, you can set the indicator to only show you these touches/bounces and breaks with additional confirmations, only if confirmed by :
- Moving Average (customizable length): LONG signals based off the trend lines will only be shown if above EMA, SHORT if below.
- Signals where the candle color confirms the direction of the trade, but the candle type is opposite (like a green colored bearish hammer for example) will be avoided (such candles can be very uncertain/deceptive)
- Signals where the signal candle is doji will be avoided (uncertain)
- Signals will only be shown if supported by the trend line slope (for example, with this feature turned on, if there is an upper line trend line, but the line is actually above, touching the top of the candles and the price touches/crosses it or it gets broken – there will be no signal as even though the trend line is an upper line above candles, it’s slope is positive (going up), if the slope would be down, like a classical down/bearish trend line and the price touches/bounces off it or the line gets broken, only then the indicator will show the signal/alert.
- OFFSET: this one is really cool! With this feature you can hunt these conditions when the price comes very near the trend line, but never touches it. With this setting turned on, with a correct offset amount – you will be able to catch these! You will need to play around with the offset amount, depending on the timeframe/instrument, be quick-n-easy!
The indicator also includes Round Number lines on the chart, which are customizable for any instrument. As you know round numbers are appreciated by the price and can be very nicely used with this indicator looking for combos or using trend lines for signals, while round numbers as partial profit price targets or stop-loss areas.
Important economic events are also shown on the chart as red vertical lines (during these events, volatility can suddenly spike, so it’s best to stay away from trading!)
This is a very powerful indicator with plenty of customizations to find the best approaches, can be used for any instrument and on any timeframe! Awesome for scalping and could be used with swing trading as well! Enjoy!
To add the alerts
-Right-click anywhere on the TradingView chart
-Click on Add alert
-Condition: Auto Trend Lines Breakout with Confirmation Bounce Signals and Alerts
-Alert name: DO NOT TOUCH THIS
-Hit “Create”
-Note: If you change ANY Settings within the indicator – you must DELETE the current alert and create a new one per steps above, otherwise it will continue triggering alerts per old Settings!
A few strategies how this indicator can be used (these were actually tested and showed awesome results!):
1) Bounce Scalping: Simply hunting bounces off the trend lines. Often the price will slightly cross the trend line and then immediately bounces from it for nice little price move, which is great for scalping or if you for example take 2/3s off the position and leave the remaining, often with such bounces – the price may reverse from the trend line and go in the opposite direction considerably.
2) Break-Bounce-Confirm: this is the “Breaks with Confirmation Bounce” option of the script which fully automates the classical trend lines break confirmation, where the trend line is broken (which could be a fake out), so you wait for a touch/bounce of that trend line back from the initial break and open the position right there or wait and see if after the touch/bounce back, the price once again goes into the direction of the break.
For stop-loss and take-profit areas, you can use:
1) Pivots (these are marked with red and green crosses on the chart), which are used to draw the actual trend lines.
2) The actual trend lines themselves (if one gets broken + confirmation, you can set your stop-loss if that same line gets broken again in the opposite direction | similar for take-profit, you can take profit or partial profit at next trend line on the chart if the price reaches it.
3) Use the Round Numbers included, for example: use the closest round number as a visual soft stop-loss and the furthest one away as a visual soft take-profit.
You can try combining this indicator with divergence, stochastic, Bollinger bands, pretty much anything!
If you wish to try this out for a week or so – please reach out and I will give you access.
Theory Affinity TrendlinesThis indicator is perfect for traders who want to identify trend lines on a chart. It draws higher low uptrends and lower high downtrends, making it easy to see where the trend is going. You can also customize the settings to fit your needs, making it the perfect tool for your trading arsenal.
With this new tool, you can easily customize your experience to get the most out of your trading and analysis. With options like max lines, strength multiplier, pivot plots/text, and more, you can easily create the perfect trading analysis environment.
So why wait? Try it out today!
Leave feedback and let me know what you think.
// ############################################################################################## Input Descriptions
Pivot Left ----------------- look left n bars
Pivot Right ---------------- look right n bars
Strength ------------------- Pivot multiplier (Higher = Wider Trend lines)
Max Lines ------------------ Number of lines for each Uptrend and Downtrend
Structure Text ------------ Show HH, LL, etc. on chart
Structure Markers -------- Dots at the Pivot Highs and Lows
Plots ------------------------ Draw a line at Pivot Highs and Lows
Last Up Width ------------- Width of the current Uptrend line
Historical Up Width ------ Width of previous Uptrend lines
Last Down Width --------- Width of the current Downtrend lines
Historical Down Width --- Width of previous Downtrend lines
Line Offset ---------------- Shift trend lines right or left
* Lines may or may not "repaint". For use to identify trends that are more than likely already established and to identify trend line breaks.
Musashi_Fractal_Dimension === Musashi-Fractal-Dimension ===
This tool is part of my research on the fractal nature of the markets and understanding the relation between fractal dimension and chaos theory.
To take full advantage of this indicator, you need to incorporate some principles and concepts:
- Traditional Technical Analysis is linear and Euclidean, which makes very difficult its modeling.
- Linear techniques cannot quantify non-linear behavior
- Is it possible to measure accurately a wave or the surface of a mountain with a simple ruler?
- Fractals quantify what Euclidean Geometry can’t, they measure chaos, as they identify order in apparent randomness.
- Remember: Chaos is order disguised as randomness.
- Chaos is the study of unstable aperiodic behavior in deterministic non-linear dynamic systems
- Order and randomness can coexist, allowing predictability.
- There is a reason why Fractal Dimension was invented, we had no way of measuring fractal-based structures.
- Benoit Mandelbrot used to explain it by asking: How do we measure the coast of Great Britain?
- An easy way of getting the need of a dimension in between is looking at the Koch snowflake.
- Market prices tend to seek natural levels of ranges of balance. These levels can be described as attractors and are determinant.
Fractal Dimension Index ('FDI')
Determines the persistence or anti-persistence of a market.
- A persistent market follows a market trend. An anti-persistent market results in substantial volatility around the trend (with a low r2), and is more vulnerable to price reversals
- An easy way to see this is to think that fractal dimension measures what is in between mainstream dimensions. These are:
- One dimension: a line
- Two dimensions: a square
- Three dimensions: a cube.
--> This will hint you that at certain moment, if the market has a Fractal Dimension of 1.25 (which is low), the market is behaving more “line-like”, while if the market has a high Fractal Dimension, it could be interpreted as “square-like”.
- 'FDI' is trend agnostic, which means that doesn't consider trend. This makes it super useful as gives you clean information about the market without trying to include trend stuff.
Question: If we have a game where you must choose between two options.
1. a horizontal line
2. a vertical line.
Each iteration a Horizontal Line or a Square will appear as continuation of a figure. If it that iteration shows a square and you bet vertical you win, same as if it is horizontal and it is a line.
- Wouldn’t be useful to know that Fractal dimension is 1.8? This will hint square. In the markets you can use 'FD' to filter mean-reversal signals like Bollinger bands, stochastics, Regular RSI divergences, etc.
- Wouldn’t be useful to know that Fractal dimension is 1.2? This will hint Line. In the markets you can use 'FD' to confirm trend following strategies like Moving averages, MACD, Hidden RSI divergences.
Calculation method:
Fractal dimension is obtained from the ‘hurst exponent’.
'FDI' = 2 - 'Hurst Exponent'
Musashi version of the Classic 'OG' Fractal Dimension Index ('FDI')
- By default, you get 3 fast 'FDI's (11,12,13) + 1 Slow 'FDI' (21), their interaction gives useful information.
- Fast 'FDI' cross will give you gray or red dots while Slow 'FDI' cross with the slowest of the fast 'FDI's will give white and orange dots. This are great to early spot trend beginnings or trend ends.
- A baseline (purple) is also provided, this is calculated using a 21 period Bollinger bands with 1.618 'SD', once calculated, you just take midpoint, this is the 'TDI's (Traders Dynamic Index) way. The indicator will print purple dots when Slow 'FDI' and baseline crosses, I see them as Short-Term cycle changes.
- Negative slope 'FDI' means trending asset.
- Positive most of the times hints correction, but if it got overextended it might hint a rocket-shot.
TDI Ranges:
- 'FDI' between 1.0≤ 'FDI' ≤1.4 will confirm trend following continuation signals.
- 'FDI' between 1.6≥ 'FDI' ≥2.0 will confirm reversal signals.
- 'FDI' == 1.5 hints a random unpredictable market.
Fractal Attractors
- As you must know, fractals tend orbit certain spots, this are named Attractors, this happens with any fractal behavior. The market of course also shows them, in form of Support & Resistance, Supply Demand, etc. It’s obvious they are there, but now we understand that they’re not linear, as the market is fractal, so simple trendline might not be the best tool to model this.
- I’ve noticed that when the Musashi version of the 'FDI' indicator start making a cluster of multicolor dots, this end up being an attractor, I tend to draw a rectangle as that area as price tend to come back (I still researching here).
Extra useful stuff
- Momentum / speed: Included by checking RSI Study in the indicator properties. This will add two RSI’s (9 and a 7 periods) plus a baseline calculated same way as explained for 'FDI'. This gives accurate short-term trends. It also includes RSI divergences (regular and hidden), deactivate with a simple check in the RSI section of the properties.
- BBWP (Bollinger Bands with Percentile): Efficient way of visualizing volatility as the percentile of Bollinger bands expansion. This line varies color from Iced blue when low volatility and magma red when high. By default, comes with the High vols deactivated for better view of 'FDI' and RSI while all studies are included. DDWP is trend agnostic, just like 'FDI', which make it very clean at providing information.
- Ultra Slow 'FDI': I noticed that while using BBWP and RSI, the indicator gets overcrowded, so there is the possibility of adding only one 'FDI' + its baseline.
Final Note: I’ve shown you few ways of using this indicator, please backtest before using in real trading. As you know trading is more about risk and trade management than the strategy used. This still a work in progress, I really hope you find value out of it. I use it combination with a tool named “Musashi_Katana” (also found in TradingView).
Best!
Musashi
Linear Regression AngleThere are several Linear Regression indicator in the Public Library, but I don't think there is one that converts the Linear Regression (LR) curve into angle in degrees, relative to a set reference frame. Due to the large price range between tickers, creating this indicator isn't as straight forward as I originally thought. For example, given the same time period, a stock that fluctuate in the 10's will have a true linear regression angle dramatically different from a penny stock. Even changing the scale on your chart will affect the "apparent" angle you see on the chart. Hence, this indicator DOES NOT provide the true linear regression angle, but only a relative one based on a defined number of historical bars.
Originality and usefulness
This indicator provides Linear Regression (LR) Angle in degree that may be more easily interpreted by some traders as we are more accustomed to line angles in degree and know how to visualize them.
This script also provides the option to overlay up to four LR curves of different periods, as well as an average curve of the enabled curves. This allows traders to analysis short to long term trends.
Furthermore, slope (rate of change) of each LR curves can be toggled. The slope plot can help traders visualize accelerations and decelerations of the LR curves which may help in spotting trend reversals.
Data table provides real time data for each curve.
Example of using slope plot with a 30 bars Linear Regression Angle:
MAGIC MACDMAGIC MACD ( MACD Indicator with Trend Filter and EMA Crossover confirmation and Momentum). This MACD uses Default Trading view MACD
from Technical indicators library and adding a second MACD along with 3 EMA's to detect Trend and confirm MACD Signal.
Eliminates usage of 3different indicators (Default MACD , MACD-2,EMA5, EMA20, EMA50)
Basic IDEA.
Idea is to filter Histogram when price is above or below 50EMA. Similar to QQE -mod oscillator but Has a EMA Filter
1.Take DEFAULT MACD crossover signals with lower period
2.check with a Higher MACD Histogram.
3.Enter upon EMA crossover signal and Histogram confirmation.
Histogram changes to GRAY when price is below EMA 50 or above EMA 50 (Follows Trend)
4.Exit on next Default MACD crossover signal.
Overview :
Moving Average Convergence Divergence Indicator Popularly Known as MACD is widely used. MACD Usually generates a lots of False signals
and noise in Lower Time Frames, making it difficult to enter a trade in sideways market. Divergence is a major issue along with sideways
movement and tangling of MACD and Signal Lines. There is no way to confirm a Default MACD signal, except to switch time frames and
verify.
Magic MACD Can be used to in combination with other signals.
This MACD uses two MACD Signals to verify the signal given by Default MACD . The Histogram Plot shown is of a higher period
MACD (close,5,50,30) values. When a signal is generated on a lower MACD it is verified by the histogram with higher time period.
Technicals Used:
1. Lower MACD-1 values 12,26 and signal-9 (crossover Signals)
2. Higher MACD-2 values 5,50 and signal-30 (Histogram)
3. EMA 50 (Histogram Filter to allow only if price above or below Ema 50)
4. EMA 5 and EMA 20 for crossover confirmation of trend
What's is in this Indicator?
1.Histogram-(higher period 5,50 and 30signal)
2. MACD crossover Signals-(lower period Default MACD setting)
3.Signal Lines-( EMA 5 & 20)
Implemented & Removed in this Indicator
1. Default MACD and Signal Lines are removed completely
2. MACD crossover are taken on lower periods and plotted as signals(Blue Triangle or Red Triangle)
3. Histogram is plotted from a higher Period providing a clear picture with Higher Time period
4. EMA 5 and EMA 20 are used for MACD signal confirmation
How to use?
Up Signal
1. MACD Default (12,26,30) up signals are shown in Blue
2. Wait till the Histogram changes Blue
3. Look for EMA signals crossover near by
Down Signal
1. MACD Default (12,26,30) up signals are shown in Red
2. Wait till the Histogram changes Red
3. Look for EMA signals crossover near by
Do's
Consider only opposite color as signals
1. Red Triangle on Blue Histogram(likely to move down direction)
2. Blue Triangle on Red Histogram (Likely to move up direction)
Don'ts
1.Ignore Blue Signal on Blue Histogram (pull back signals can be used to enter trade if you miss first crossover)
2.Ignore Red Signal on Red Histogram(pull back signals can be used to enter trade if you miss first crossover)
3.Ignore Up and Down signals till Gray or Blacked out area is finished in Histogram
Tips:
1. EMA plot also shows pull back areas along with signals
2.side by side opposite signals shows sides ways movement
3. EMA 5,20 is plotted on MACD Histogram for Additional Benefit
Thanks & Credits
To Tradingview Team for allowing me to use their default MACD version and coding it in to a MAGIC MACD by adding a few lines of code that
makes it more enhanced.
Warning...!
This is purely for Educational purpose only. Not to be used as a stand alone indicator. Usage is at your own Risk. Please get familiar with its working before implementing. Its not a Financial Advice or Suggestion . Any losses or gains is at your own risk.
Trend Finder with Coefficient of VariationCoefficient of variation (“COV”) is a statistical measure used to describe the variability of values within a data set, it’s calculated by taking the standard deviation divided by the mean.
Traditionally, COV is applied to the expected returns of competing investment portfolios. A risk adverse investor prefers to accept a portfolio with a relatively lower COV value.
On the other hand, when applying COV to price charts, the difference is that instead of looking at expected returns, we now treat price as the source of data. We look at price from a moving average perspective. This script purely focuses on price.
What this indicator does:
Firstly, to go over the parameters:
Let ‘n’ be the lookback period for computing COV, and ‘m’ be the period for comparing the ranking of COVs.
Logics in a nutshell:
This program will (A) calculate the COV by dividing the moving standard deviation by moving average over ‘n’ bars, and then (B) illustrate the relationship of how COV at each bar ranks compared to COVs over past ‘m’ bars. We use a color scale (default black and yellow) for visualizing ranking in terms of percentiles. If COV is below its median value, then we assume that price is consolidating.
Hypothesis:
Using COV on top of regular SMA signals should reduce a lot of unwanted noise such as consecutive crossovers during ranging-periods. Traders want volatility, but not too much of it when sniping for entry opportunities (speaking of initial position; need to add to winning positions after, but this is for another topic). For this reason, the median value of COV is suitable as a metric for signals.
Applications:
We use the median value of COV to form a decision rule. A signal is generated when COV > median(COV,m), and the direction of trend is determined based on relative position of price with respect to sma(price,n). When the value of COV is increasing, it can also be thought of seeing Bollinger Bands beginning to bulge. When trends begin, this program will plot triangles to signify entry opportunities.
