Step-MA Filtered CCI [Loxx]Step-MA Filtered CCI is a CCI indicator that is filtered using a stepping moving average function. This produces a CCI that is much cleaner due to noise reduction.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
Included:
Bar coloring
3 signal variations w/ alerts
Loxx's Expanded Source Types
Commodity Channel Index (CCI)
Reversal MagictrendThis indicator combine multiple indicator in one pine script : Main indicator is Exponential Moving Average (EMA), Commodity Channel Index (CCI), Average True Range (ATR), Crossover Signal & Alert.
1)
For Exponential Moving Average (EMA) have 5 type :
EMA 7 : Green Color (Transparent)
EMA 21 : Red Color (Transparent)
EMA 34 : Orange Color (Faint)
EMA 50 : Purple Color (Transparent)
EMA 90 : Aqua Color (Faint)
Trendband / Background Color in between EMA line :
EMA 7 Cross up EMA 21 : Green
EMA 7 Cross down EMA 21 : Red
EMA 21 Cross up EMA : Yellow
Crossover Signal :
EMA 7 Cross up EMA 21 = Golden Cross : Blue Diamond
EMA 7 Cross down EMA 21 = Death Cross : Red Diamond
Example :
2)
Commodity Channel Index (CCI) :
Have background color : Green for positive value
CCI Signal = Anchor / Hook
- As a signal of reversal. Strong reversal when appear on weekly chart
Example :
Weekly :
Daily :
I am inspired from : www.tradingview.com
Check out his indicator here :
3)
Average True Range (ATR) as Supertrend
Green (Start) New Start for uptrend
Red (End) New Start for downtrend
Also Add on value for each signal.
Example :
I am inspired from : www.tradingview.com
Check out his Supertrend here :
4)
For this indicator, user have option to turn on / off :
- Previous Signal as a backtest
- Previous Trend as a backtest
- ATR to make chart more clean.
Modified for Altcoinsstepping algorithm to smooth RSI and CCI combined . This allows for noise reduction and better identification of breakouts/breakdowns/reversals.
Green is buy and Red is sell
Commodity Channel Relative StrengthNew concept(I think atleast) I've joined the Standard RSI and CCI at the hip with another plotcandle, which gives a picture of a larger candle With more interesting movement imo. Includes Fib Retracement Levels, High/Low and a couple of coppock curves for more confirmation. Broadening candles seem to indicate a weakening of trend strength (from what i've seen atleast) although exceptions do occur. Vice versa for tapering to a lesser degree I imagine. RSI has been shifted down to 0 to align the center point with the CCI , so the usual 30/70 RSI Levels are now -20/20 (although I have 30/-30 instead for the hlines).
Digital Kahler CCI [Loxx]Digital Kahler CCI is a Digital Kahler filtered CCI. This modification significantly reduces noise.
What is Digital Kahler?
From Philipp Kahler's article for www.traders-mag.com, August 2008. "A Classic Indicator in a New Suit: Digital Stochastic"
Digital Indicators
Whenever you study the development of trading systems in particular, you will be struck in an extremely unpleasant way by the seemingly unmotivated indentations and changes in direction of each indicator. An experienced trader can recognise many false signals of the indicator on the basis of his solid background; a stupid trading system usually falls into any trap offered by the unclear indicator course. This is what motivated me to improve even further this and other indicators with the help of a relatively simple procedure. The goal of this development is to be able to use this indicator in a trading system with as few additional conditions as possible. Discretionary traders will likewise be happy about this clear course, which is not nerve-racking and makes concentrating on the essential elements of trading possible.
How Is It Done?
The digital stochastic is a child of the original indicator. We owe a debt of gratitude to George Lane for his idea to design an indicator which describes the position of the current price within the high-low range of the historical price movement. My contribution to this indicator is the changed pattern which improves the quality of the signal without generating too long delays in giving signals. The trick used to generate this “digital” behavior of the indicator. It can be used with most oscillators like RSI or CCI .
First of all, the original is looked at. The indicator always moves between 0 and 100. The precise position of the indicator or its course relative to the trigger line are of no interest to me, I would just like to know whether the indicator is quoted below or above the value 50. This is tantamount to the question of whether the market is just trading above or below the middle of the high-low range of the past few days. If the market trades in the upper half of its high-low range, then the digital stochastic is given the value 1; if the original stochastic is below 50, then the value –1 is given. This leads to a sequence of 1/-1 values – the digital core of the new indicator. These values are subsequently smoothed by means of a short exponential moving average . This way minor false signals are eliminated and the indicator is given its typical form.
Calculation
The calculation is simple
Step1 : create the CCI
Step 2 : Use CCI as Fast MA and smoothed CCI as Slow MA
Step 3 : Multiple the Slow and Fast MAs by their respective input ratios, and then divide by their sum. if the result is greater than 0, then the result is 1, if it's less than 0 then the result is -1, then chart the data
if ((slowr * slow_k + fastr * fast_k) / (fastr + slowr) > 50.0)
temp := 1
if ((slowr * slow_k + fastr * fast_k) / (fastr + slowr) < 50.0)
temp := -1
Step 4 : Profit
Other implementations of Digital Kahler
This is to better understand the process the DK process and it's result, and furthermore, I'm linking these because for many in the Forex community, they see DK filtered indicators as the best implementations of standard indicators.
MACD
VHF-Adaptive, Digital Kahler Variety RSI w/ Dynamic Zones
Included:
Bar coloring
Signals
Alerts
Loxx's Expanded Source Types
Loxx's Moving Averages
Cyatophilum 3Commas DCA Bot BacktesterAn indicator to backtest and automate 3Commas DCA Bots.
═════════════════════════════════════════════════════════════════════════
█ HOW IT WORKS
The indicator allows you to replicate your bot settings and get backtest results from the Strategy Tester and also a backtest panel with additional information on the safety orders.
You can also create alerts for each of the strategy events.
█ HOW TO USE
Choose a symbol that corresponds to your bot pair and exchange.
Pick a chart time frame as small as possible, usually 1 minute. The timeframe should always be smaller or equal to the deal start conditions timeframes.
Always use regular candle type.
Configure your deal start condition . You can combine several technical indicators to trigger an entry using a AND logical gate.
Configure your profit target
Use the Take Profit feature to set a target in percentage of price. You can also make it trail.
There is also a Stop Loss feature that is turned off by default.
Configure your safety orders
Replicate the safety orders from your bot into the indicator inputs.
Check your backtest parameters
Make sure that the initial capital and order size make sense. Since it is a pyramiding strategy with safety orders, the sum of all deals should not be bigger than the initial capital.
In this example: Initial capital is 0.02 BTC, which around 600$. I used 1000$ to be safe.
If you use % equity as order size, please note that it will create compounding.
Check the fees, by default they are set to 0.1%.
I also recommend to set a slippage that corresponds to your exchange's spread.
█ FEATURES
• Strategy direction
Configure wether to go long or short.
• Deal Start Conditions
The current conditions available are:
- Up to 4 MTF Trading View ratings conditions (Buy/Sell, Strong Buy/Sell)
- Up to 4 MTF RSI with configurable start conditions (Less/Greater than, Crossing Up/Down)
- Up to 2 MTF Ultimate Oscillator with configurable start conditions (Less/Greater than, Crossing Up/Down)
- MTF BB%-20-1 (length-deviation) with configurable start conditions (Less/Greater than, Crossing Up/Down)
- MTF BB%-20-2 (length-deviation) with configurable start conditions (Less/Greater than, Crossing Up/Down)
- Up to 2 MTF TA presets with the following options (Bollinger Bands, MFI, CCI, MACD, PSAR, SMA crosses, Heikin Ashi)
• Stop Loss and Take Profit
Configure your stop loss and take profit for long and short trades.
You can also make a trailing take profit.
• DCA (Safety orders)
Create up to 100 safety orders with configurable options for step and volume scaling, take profit from total volume, base and safety order size.
• Backtest Settings
Choose a backtest period, longs or shorts, wether to use limit orders or not.
Graphics
A Configuration panel with all the indicator settings, useful for sharing/saving a strategy.
A Backtest Results panel with additional information from the strategy tester.
█ ALERTS
The indicator is using the alert() calls: it only uses 1 alert slot to send order messages for each event (Long/Short entry, stop loss, take profit, safety order). This means free TV plans can create 1 complete strategy.
To set your alert messages, open the indicator settings and scroll to the bottom of the "inputs" tab.
Create your alert after you set the messages in the indicator settings, and make sure "Any alert() function call" is set in the alert option.
█ BACKTEST RESULTS
The backtest settings used in this snapshot are the following:
Initial Capital: 1000€
Order size: 0.003 BTC
Commission: 0.1 % per order
Slippage : 1 tick
Please read the author instructions below for access.
Adaptive-Lookback CCI w/ Double Juirk Smoothing [Loxx]Adaptive-Lookback CCI w/ Double Juirk Smoothing is a CCI indicator with Adaptive period inputs. The adaptive calculation in this case is the count of pivots in historical bars. This indicator is also double smoothing using Jurik smoothing to reduce noise and refine the signal.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Included:
Bar coloring
3 signal variations w/ alerts
Stepped Moving Average of CCI [Loxx]Stepped Moving Average of CCI is a CCI that applies a stepping algorithm to smooth CCI. This allows for noice reduction and better identification of breakouts/breakdowns/reversals.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
Included:
Bar coloring
4 signal variations w/ alerts
Loxx's Expanded Source Types
Loxx's Moving Averages
CFB-Adaptive CCI w/ T3 Smoothing [Loxx]CFB-Adaptive CCI w/ T3 Smoothing is a CCI indicator with adaptive period inputs and T3 smoothing. Jurik's Composite Fractal Behavior is used to created dynamic period input.
What is Composite Fractal Behavior ( CFB )?
All around you mechanisms adjust themselves to their environment. From simple thermostats that react to air temperature to computer chips in modern cars that respond to changes in engine temperature, r.p.m.'s, torque, and throttle position. It was only a matter of time before fast desktop computers applied the mathematics of self-adjustment to systems that trade the financial markets.
Unlike basic systems with fixed formulas, an adaptive system adjusts its own equations. For example, start with a basic channel breakout system that uses the highest closing price of the last N bars as a threshold for detecting breakouts on the up side. An adaptive and improved version of this system would adjust N according to market conditions, such as momentum, price volatility or acceleration.
Since many systems are based directly or indirectly on cycles, another useful measure of market condition is the periodic length of a price chart's dominant cycle, (DC), that cycle with the greatest influence on price action.
The utility of this new DC measure was noted by author Murray Ruggiero in the January '96 issue of Futures Magazine. In it. Mr. Ruggiero used it to adaptive adjust the value of N in a channel breakout system. He then simulated trading 15 years of D-Mark futures in order to compare its performance to a similar system that had a fixed optimal value of N. The adaptive version produced 20% more profit!
This DC index utilized the popular MESA algorithm (a formulation by John Ehlers adapted from Burg's maximum entropy algorithm, MEM). Unfortunately, the DC approach is problematic when the market has no real dominant cycle momentum, because the mathematics will produce a value whether or not one actually exists! Therefore, we developed a proprietary indicator that does not presuppose the presence of market cycles. It's called CFB (Composite Fractal Behavior) and it works well whether or not the market is cyclic.
CFB examines price action for a particular fractal pattern, categorizes them by size, and then outputs a composite fractal size index. This index is smooth, timely and accurate
Essentially, CFB reveals the length of the market's trending action time frame. Long trending activity produces a large CFB index and short choppy action produces a small index value. Investors have found many applications for CFB which involve scaling other existing technical indicators adaptively, on a bar-to-bar basis.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
What is the T3 moving average?
Better Moving Averages Tim Tillson
November 1, 1998
Tim Tillson is a software project manager at Hewlett-Packard, with degrees in Mathematics and Computer Science. He has privately traded options and equities for 15 years.
Introduction
"Digital filtering includes the process of smoothing, predicting, differentiating, integrating, separation of signals, and removal of noise from a signal. Thus many people who do such things are actually using digital filters without realizing that they are; being unacquainted with the theory, they neither understand what they have done nor the possibilities of what they might have done."
This quote from R. W. Hamming applies to the vast majority of indicators in technical analysis . Moving averages, be they simple, weighted, or exponential, are lowpass filters; low frequency components in the signal pass through with little attenuation, while high frequencies are severely reduced.
"Oscillator" type indicators (such as MACD , Momentum, Relative Strength Index ) are another type of digital filter called a differentiator.
Tushar Chande has observed that many popular oscillators are highly correlated, which is sensible because they are trying to measure the rate of change of the underlying time series, i.e., are trying to be the first and second derivatives we all learned about in Calculus.
We use moving averages (lowpass filters) in technical analysis to remove the random noise from a time series, to discern the underlying trend or to determine prices at which we will take action. A perfect moving average would have two attributes:
It would be smooth, not sensitive to random noise in the underlying time series. Another way of saying this is that its derivative would not spuriously alternate between positive and negative values.
It would not lag behind the time series it is computed from. Lag, of course, produces late buy or sell signals that kill profits.
The only way one can compute a perfect moving average is to have knowledge of the future, and if we had that, we would buy one lottery ticket a week rather than trade!
Having said this, we can still improve on the conventional simple, weighted, or exponential moving averages. Here's how:
Two Interesting Moving Averages
We will examine two benchmark moving averages based on Linear Regression analysis.
In both cases, a Linear Regression line of length n is fitted to price data.
I call the first moving average ILRS, which stands for Integral of Linear Regression Slope. One simply integrates the slope of a linear regression line as it is successively fitted in a moving window of length n across the data, with the constant of integration being a simple moving average of the first n points. Put another way, the derivative of ILRS is the linear regression slope. Note that ILRS is not the same as a SMA ( simple moving average ) of length n, which is actually the midpoint of the linear regression line as it moves across the data.
We can measure the lag of moving averages with respect to a linear trend by computing how they behave when the input is a line with unit slope. Both SMA (n) and ILRS(n) have lag of n/2, but ILRS is much smoother than SMA .
Our second benchmark moving average is well known, called EPMA or End Point Moving Average. It is the endpoint of the linear regression line of length n as it is fitted across the data. EPMA hugs the data more closely than a simple or exponential moving average of the same length. The price we pay for this is that it is much noisier (less smooth) than ILRS, and it also has the annoying property that it overshoots the data when linear trends are present.
However, EPMA has a lag of 0 with respect to linear input! This makes sense because a linear regression line will fit linear input perfectly, and the endpoint of the LR line will be on the input line.
These two moving averages frame the tradeoffs that we are facing. On one extreme we have ILRS, which is very smooth and has considerable phase lag. EPMA has 0 phase lag, but is too noisy and overshoots. We would like to construct a better moving average which is as smooth as ILRS, but runs closer to where EPMA lies, without the overshoot.
A easy way to attempt this is to split the difference, i.e. use (ILRS(n)+EPMA(n))/2. This will give us a moving average (call it IE /2) which runs in between the two, has phase lag of n/4 but still inherits considerable noise from EPMA. IE /2 is inspirational, however. Can we build something that is comparable, but smoother? Figure 1 shows ILRS, EPMA, and IE /2.
Filter Techniques
Any thoughtful student of filter theory (or resolute experimenter) will have noticed that you can improve the smoothness of a filter by running it through itself multiple times, at the cost of increasing phase lag.
There is a complementary technique (called twicing by J.W. Tukey) which can be used to improve phase lag. If L stands for the operation of running data through a low pass filter, then twicing can be described by:
L' = L(time series) + L(time series - L(time series))
That is, we add a moving average of the difference between the input and the moving average to the moving average. This is algebraically equivalent to:
2L-L(L)
This is the Double Exponential Moving Average or DEMA , popularized by Patrick Mulloy in TASAC (January/February 1994).
In our taxonomy, DEMA has some phase lag (although it exponentially approaches 0) and is somewhat noisy, comparable to IE /2 indicator.
We will use these two techniques to construct our better moving average, after we explore the first one a little more closely.
Fixing Overshoot
An n-day EMA has smoothing constant alpha=2/(n+1) and a lag of (n-1)/2.
Thus EMA (3) has lag 1, and EMA (11) has lag 5. Figure 2 shows that, if I am willing to incur 5 days of lag, I get a smoother moving average if I run EMA (3) through itself 5 times than if I just take EMA (11) once.
This suggests that if EPMA and DEMA have 0 or low lag, why not run fast versions (eg DEMA (3)) through themselves many times to achieve a smooth result? The problem is that multiple runs though these filters increase their tendency to overshoot the data, giving an unusable result. This is because the amplitude response of DEMA and EPMA is greater than 1 at certain frequencies, giving a gain of much greater than 1 at these frequencies when run though themselves multiple times. Figure 3 shows DEMA (7) and EPMA(7) run through themselves 3 times. DEMA^3 has serious overshoot, and EPMA^3 is terrible.
The solution to the overshoot problem is to recall what we are doing with twicing:
DEMA (n) = EMA (n) + EMA (time series - EMA (n))
The second term is adding, in effect, a smooth version of the derivative to the EMA to achieve DEMA . The derivative term determines how hot the moving average's response to linear trends will be. We need to simply turn down the volume to achieve our basic building block:
EMA (n) + EMA (time series - EMA (n))*.7;
This is algebraically the same as:
EMA (n)*1.7-EMA( EMA (n))*.7;
I have chosen .7 as my volume factor, but the general formula (which I call "Generalized Dema") is:
GD (n,v) = EMA (n)*(1+v)-EMA( EMA (n))*v,
Where v ranges between 0 and 1. When v=0, GD is just an EMA , and when v=1, GD is DEMA . In between, GD is a cooler DEMA . By using a value for v less than 1 (I like .7), we cure the multiple DEMA overshoot problem, at the cost of accepting some additional phase delay. Now we can run GD through itself multiple times to define a new, smoother moving average T3 that does not overshoot the data:
T3(n) = GD ( GD ( GD (n)))
In filter theory parlance, T3 is a six-pole non-linear Kalman filter. Kalman filters are ones which use the error (in this case (time series - EMA (n)) to correct themselves. In Technical Analysis , these are called Adaptive Moving Averages; they track the time series more aggressively when it is making large moves.
Included:
Bar coloring
Signals
Alerts
Double CCIWith this variant of the CCI indicator you have 2 CCIs. I call it convenience the fast and the slow.
The slow one has the default period of 20. The fast one has a lower value and will therefore also change his direction much faster.
I don't use this as a decisive indicator, but the fast one does indicate where the standard CCI might go and so you are already prepared for the decisive moment.
I've added a zero line so you can visually track whether the buyers or the sellers are predominant.
Between 0 and +100, as well as between 0 and -100 there is still a battle between buyers and sellers and it is better to wait a little longer before entering a trade.
From +100 to +250 I have colored the zone green; here the buyers are winning and it is a confirmation that you can safer enter the BUY.
From -100 to -250 it's colored red; here the sellers are firmly winning and it is a confirmation to go into a SELL.
Most values are adjustable via the settings and can be switched on or off.
This indicator is not intended to be used as the sole decision element, but rather to fine-tune your entry and exit points . Maybe wait a little longer than you normally would, but then be able to step in at the right time that there is enough volume in your desired direction.
Good luck with it and I would love feedback.
Thank you Tradingview-community.
CCI+MACD+VWAP+BreakoutDesign for LONG and Day Trade only
- Identify buy and sell signal using CCI
- Green Zone when
-- Price over VWAP
-- EMA9 > EMA50 > EMA200
-- MACD fast > MACD slow
- Yellow Zone when either one failed
- White line occurs when breakout of Higher High + Higher Low
TMS CCI is based on Commodity Channel IndexThis indicator is based on CCI, but draws the CCI link green/red. If CCI line is above zero, then it is painted green. If CCI is lower than zero, then it is painted red.
How to trade:
Buy Side
1. When CCI crosses above zeroline from under, it is a bullish signal, Wait for the candle to close and place an order at the closing price. Exit when CCI crosses below zeroline.
Sell Side
2. When CCI crosses below zeroline from above, it is a bearish signal, Wait for the candle to close and place an order at the closing price. Exit when CCI crosses above zeroline.
VHF-Adaptive CCI [Loxx]VHF-Adaptive CCI is a CCI indicator with adaptive period inputs using vertical horizontal filtering.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
What is VHF Adaptive Cycle?
Vertical Horizontal Filter (VHF) was created by Adam White to identify trending and ranging markets. VHF measures the level of trend activity, similar to ADX DI. Vertical Horizontal Filter does not, itself, generate trading signals, but determines whether signals are taken from trend or momentum indicators. Using this trend information, one is then able to derive an average cycle length.
Included
Bar coloring
Signals
Alerts
Rajiv Patel Strategy with ATR RSI CCI MACD EMA IchimokuRajiv Patel Strategy with alerts helps to identify entry and exit levels based on following Indicators.
1. ATR Trailing Stoploss
2. RSI
3. CCI
4. MACD
5. EMA
6. SMA
7. Ichimoku
This Strategy is fully customizable as per your trading style. Below are some examples of how once can use the Strategy.
Options Based on Each Indicator Individually.
1. ATR Trailing Stoploss – When price is above ATR Trailing Stoploss line its in buy zone and when below its in sell zone. The setting of ATR Trailing Stoploss are customizable like ATR Periods and ATR Multiplier. Suggest increasing ATR Multiplier with lower timeframe. Aggressive buyers can decrease ATR Period in higher timeframe as per trade plan.
2. RSI – RSI above EMA Length is buy zone and below is sell zone. Conservative buyers can increase the RSI & EMA Length period while aggressive and reduce. Higher the timeframe gives better results.
3. CCI – Similar to RSI the buy zone is when CCI crosses above EMA Length. Again CCI & EMA Length can be customised as per trade plan. Higher timeframe is advised.
4. MACD – MACD parameters default settings are based on trying to get early entry. One can change to 26, 13 and 9 in lower timeframe. When MACD crosses above Signal line its buy zone and when below its sell zone.
5. EMA – 5 EMA lines and 2 SMA lines can be plotted. The settings of both EMA lines and SMA lines can be adjusted based on timeframe and trade plan.
6. EMA – EMA line 1 and 2 can be used as buy when EMA1 crosses above EMA2 and sell when below. The length of EMA1 & 2 is adjustable. Suggest modifying based on timeframe and trade plan.
7. SMA – SMA1 can also be used as solo indicator. If price is below SMA1 then its no buy area and if above, then in buy area. SMA2 can be used to identify if trend is upward or downward based on user settings.
8. Ichimoku – It predicts price movements bit like moving averages. Offers a unique perspective of support and resistance levels.
Conversion Line (Tenkan Sen)
- Measures Short Term Trend
- Signals an area of minor support and resistance
Base Line (Kijun Sen)
- Measures Medium term trend
- Used as Trailing Stop Level
Lagging Span (Chikou Span)
- Used for confirmation of signals
- Can also serve as Support and Resistance Level
Kumo Cloud
- Formed of two lines: Senkou Span A (Green Line) and Senkou Span B (Red Line)
- Dynamic Support and Resistance
HOW TO READ ICHIMOKU INDICATOR
Conversion Line (Tenkan Sen)
- If Price is above the Conversion Line = Short term upward movement
- If Price is below the Conversion Line = Short term downward movement
- Increasing Conversion Line = Short term uptrend
- Decreasing Conversion Line = Short term downtrend
Base Line (Kijun Sen)
- If Price is above the baseline = Medium term uptrend
- If the Market price is below the baseline = Medium term downtrend
- Increasing Base Line = Medium term uptrend
- Decreasing Base Line = Medium term downtrend
Lagging Span
- The Evolution of the current price action in relation to previous price action
- If the Lagging span is above the current price = Bullish Bias
- If the Lagging span is below the current price = Bearish Bias
- Lagging span near the current price = Trading range
Kumo Cloud
- Dynamic Support and Resistance based upon price action.
- The longer the price stays below/above the Kumo cloud, stronger the trend
- When the cloud is wide, the expected support or resistance is strong
- When the cloud is thin, the expected support or resistance is weak
- Never trade when price is inside Kumo Cloud
HOW TO TRADE WITH ICHIMOKU CLOUD
1. Baseline and conversion Line crossover (Lagging Span as a Filter)
crossover (conversion line, baseline) = Buy
crossunder (conversion line, baseline) = Sell
FILTER
Crossover (conversion line, baseline) and lagging span is Bullish (i.e above the price) = Buy
Crossunder (conversion line, baseline) and lagging span is Bearish (i.e below the price) = Sell
2. Baseline - Conversion line crossover (Kumo cloud Filter)
Crossover (conversion line, baseline) above the Kumo Cloud = Strong Buy
Crossover (conversion line, baseline) below the Kumo cloud = Weak Buy
Crossunder (conversion line, baseline) below the Kumo Cloud = Strong Sell
Crossunder (conversion line, baseline) above the Kumo Cloud = Weak Sell
3. Kumo Cloud Breakout
When the price enters the Kumo Cloud, and breaks its Upper wall upward = Bullish Signal
When the price enters the Kumo Cloud, and breaks its Lower wall downward = Bearish Signal
4. Kumo Cloud Crossover
When Span A crosses the Span B from below to the upside and prices are positioned above the Kumo Cloud = Strong Buy Signal
When Span A crosses the Span B from upside to the bottom and the prices are positioned below the Kumo Cloud = Strong Sell
When Span A crosses Span B from bottom to the upside and prices are positioned below the Kumo Cloud = Weak Buy Signal
When Span A crosses Span B from the upside to the bottom and the prices are positioned above the Kumo Cloud = Weak Sell Signal
Options Based on Combining Multiple Indicators.
One can select and combine multiple conditions based on above understanding of individual indicator to create a strong Long Entry, Short Entry, Long Exit and Short Exit. This Strategy also provides Alert signal for all entry and exit based on the combinations of conditions selected.
Since this is a strategy one can use STRATEGY TESTER to understand how the strategy has performed over the selected time span. This however does not guarantee similar results in present or future trades.
Please enter commission or total charges charged by your broker in “Properties” Tab of the strategy. Modify all parameters of “Properties” Tab as needed. Note, this can affect the performance results of the strategy.
Need to be very careful in selecting conditions as it becomes very complex with many options available.
Note:
Triangles at the top and bottom indicates the zone. Can be turned on / off using condition “Show Conditions Visually”.
1. Red triangle at top pointing down with ‘S’ indicates in Long Exit zone.
2. Red triangle at top pointing down with ‘EnS’ indicates in Enter Short zone.
3. Green triangle at bottom pointing up with ‘B’ indicates in Long Entry zone.
4. Green triangle at bottom pointing up with ‘ExS’ indicates in Exit Short zone.
5. When the is no triangle either at top or bottom means there is no zone.
Send me your suggestions, will try to incorporate the same in next revision.
All TimeFrame OscillatorsI have always fighted to understand the market direction because it looks different on different timeframes.
I wanted an indicator where I can see all the different timeframes at once.
This indicator shows already existing oscillators but not only in the current chart's timeframe, but all the most important higer timeframes at once.
I have started with the stoch, then added as many oscillators as I could.
Experimenting with this I have saw that confluence of 4H 1D and 1W Stoch can be very interesting and can highlight higher timeframe take profit areas and sometimes major tops/bottoms.
Also bounces can be interesting when a lower timeframe stoch is bounced or rejected from a higher one.
Oscillators:
Stoch - Stochastic Oscillator
SMI - Stochastic Momentum Index
Rsi - Relative Strength Index
StochRsi - Stochastic RSI
WaveTrend - Vumanchu alias Market Cypher Wave Trend line
CCI - Commodity Channel Index
CCIStoch - Stochastic CCI
Williams Percent Range - Williams %R
Norm. MACD - Normalized Moving Average Convergence Divergence
Norm. MACD Hist - Normalized MACD Histogramm
PVT - Normalized Price Volume Trend
MFI - Money Flow Index
CMF - Chaikin Money Flow
Chande Momentum - Chande Momentum
Volume - Normalized Volume
CandleValue - Vumanchu alias Market Cypher MoneyFlow
BBWP - Bollinger Band Width Percentile
Line Type
Smooth: lines are smoothed, but the actualy not closed values are not shown
Step: Step lines, the actually open timeframes are calculated as they closed at the current values
Plot Oscillator or it's Slope:
its possible to not plot the oscillator but it's slope
Print dots when:
Cross Up/Down oversold/overbougt level - best for most oscillators. for example when Stoch crosses above 20 or below 80
Cross os/ob and the one higher TF is about to cross - when it's crosses beolw 80 and the higher timeframe oscillator is still above ans sloping down
Cross above/below middle line - for example on RSI being above or below 50 can be interesting
Print triangles when:
All Slope Match - all visible timeframe lines are pointing up or down at the same time
All above/belove middle line - all visible lines are above or belove the middle line
All above/belove middle line and slope match - like the previous one and the slope direction is the same
All above/below oversold/overbougt - all lines are above or below os/ ob. this is the default. it can be a very important confluence
Lower TF in order - 5, 15, 30, 60 minute timeframes are in order.
Higher TF in order - 4H 1D 1W in order (like 4H above 1D abd 1D above 1W). can be interesting at RSI
4H-1D in order - 4H 1D in order .
Print triangles
Print all triangles - print all triangles when the condition is met
Print only first triangles - only show when the condition starts to met
Print only last triangles - small triangles when the condition met first, large when last. tis is the default.
Timeframes to show:
You can turn on/off different timeframs to show or not from the list below:
1m 5m 15m 30m 1H 4H D 5D W M
This is for experimenting/ understanding the market direction on multiple timeframes at once.
Don't take it's signals (and any other indicator's) as exact trade signals. use it as confirmation instead.
Any comments, insights, ideas are welcome.
Genesis Matrix [Loxx]Over a decade ago, the Genesis Matrix system was one of best strategies for new traders looking to learn how to really trade trends. Fast forward to 2022, a new version of Genesis Matrix has emerged using TVI, CCI, HL Channel & T3
What is T3?
The T3 moving average is an indicator of an indicator since it includes several EMAs of another EMA. Unlike any other moving average, it adds the so-called volume factor, a value between 0 and 1. Like the SMA, traders typically use this indicator to spot trends and trend reversals.
What is CCI?
The Commodity Channel Index ( CCI ) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
Genesis matrix uses Jurik-Smoothed CCI w/ MA Deviation--a spin on regular CCI .Usually CCI is calculated as using average ( Simple Moving Average ) and mean deviation. In this version, average is replaced with well known JMA (Jurik Moving Average) instead for the smoothing phase and the deviation is replaced with variety moving average deviation. The result in this one is responsive and fast (as expected) and also it is smoother than the original CCI (as expected).
What is SSL?
Known as the SSL, the Semaphore Signal Level channel chart alert is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. For our purposes here, SSL has been modified to allow for different moving average selection and different closing price look back periods.
What is William Blau Ergodic Tick Volume?
This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods.
William Blau's definition of TVI ergodicity is that the indictor is ergodic when periods are set to 32, 5, 1, and the signal is set to 5. Other combinations are not ergodic, according to Blau.
How to use
Long signal: All 4 indicators turn green
Short signal: All 4 indicators turn red
Included
Bar coloring
Jurik-Smoothed CCI w/ MA Deviation [Loxx]Jurik-Smoothed CCI w/ MA Deviation is a spin on regular CCI. Usually CCI is calculated as using average (Simple Moving Average) and mean deviation. In this version, average is replaced with well known JMA (Jurik Moving Average) instead for the smoothing phase and the deviation is replaced with variety moving average deviation. The result in this one is responsive and fast (as expected) and also it is smoother than the original CCI (as expected).
What is CCI?
The Commodity Channel Index (CCI) measures the current price level relative to an average price level over a given period of time. CCI is relatively high when prices are far above their average. CCI is relatively low when prices are far below their average. Using this method, CCI can be used to identify overbought and oversold levels.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Included:
Bar coloring
35+ moving averages
Moon Phases Strategy with CCI EXTRIME TPHELLO TO ALL ASTROLGY TRADING LOVERS
***im not a native english speaker and im not going to google translte it so soory for mastakes ****
this is an amzing script of moon cycle strategy
for long -
price need to be above MA
it will buy in full moon and will sell at new moon
i added an extrime CCI TP that if cci is over bought above 200 line it will close position- it cant be edited out so enjoy it.
for short-
price need to be below MA
it will short when new moon and buy back when fullmoon
i added an extrime CCI tp that if cci is oversold under -200 line it will close position - it cant be edited out so enjoy it.
just edit the new moon Reference date by your UTC TIME!!! ׂ( GOOGLE 'NEW MOON DATE')
לכל אוהבי האסטרולוגיה ומסחר בכוכבים
סקריפט פשוט מעולה!
ללונג- האסטרטגיה קונה כאשר המחיר מעל הממוצע ויש ירח מלא-היא מוכרת כאשר יש ירח חדש או כאשרס.ס.י חוצה את קו ה200
בשורט היא עושה ההפך ומוכרת כאשר יש ירח חדש והמחיר מתחת לממוצע-היא סוגרת את הפוזציה כאשר יש ירח מלא או כאשר ס.ס.י חוצה מטה את רמת המינוס 200
אנא ערכו את התאריך רפרנס לירח לפי אזור הזמן שלכם חפשו בגוגל ''תאריך ירח חדש'.
BACKTEST RETURNS SOOOOOO GOOOOD !
הבאק טסטים חוזרים מושלמים
trade with the stars and rip markets
Jurik Filtered Perfect CCI (PCCI) [Loxx]Jurik Filtered Perfect CCI (PCCI) is a faster and more accurate version of CCI with Jurik Filtering.
What is the PCCI (Perfect Commodity Channel Index)?
PCCI (Perfect Commodity Channel Index) indicator is calculated by the following formula:
PCCI(bar) = close(bar) – DF(bar)
PCCI resembles D. Lambert's Commodity Channel Index by the method of its calculation.
Actually, CCI index is calculated as a normalized difference between the current price and its moving average. PCCI is calculated as a difference between a day closing price and its statistical expectation presented by a Digital Fitler value. Therefore, PCCI is more efficient than CCI.
PCCI index is a high frequency part of the exchange rate fluctuations normalized according to its standard deviation.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun.
Included:
-Bar coloring
Commodity Channel IndexThis is a great indicator to use when following the trend. If the indicator line moves ABOVE +200 then you are in a STRONG trend until it moves back BELOW -200. Watch the indicator bounce of the 50 line and continue in the direction of your trade.
Nifty-15mins-Trend-followerThis script is developed for Nifty on 15mins timeframe intervals. It is purely developed on CCI, RSI and SR (Support and Resistance)
Don't use this script results for trading purpose. Use this as an study purpose
Artharjan Market AnalysisHi,
I have created Artharjan Market Analysis dashboard to help traders to take complete view of the stocks of a particular sector or a benchmark index and track them simultaneously.
With this indicator dashboard, traders will be able to track 13 scripts simultaneously. This dashboard has following features and will help gain loads of valuable information during intraday as well as positional trading.
Information provided:
1] Traders will be able to track 13 scripts of their choice and get real time Buy/Sell Signals
2] Traders will be able to chose the timeframe of their choice by changing the setting called "Timeframe" OR keep the timeframe as that on the chart by keeping the Timeframe = "Chart".
3] Traders will be able to adjust the thickness of the Moving Averages Plotted on the Chart
4] Traders will be able to select the Table position and Table Text Size.
5] For volume analysis select a separate Lookback period for Daily/Weekly/Monthly timeframes and a separate Lookback period for Intraday timeframe. You may keep both same as per your choice.
6] Plot smoothed RSI (WMA of closing price used as an input for RSI) . Default smoothing used is 5. But if you dont want to use smoothing then set it to 1 and RAW RSI will be plotted.
7] For plotting RSI select a separate Lookback period for Daily/Weekly/Monthly timeframes and a separate Lookback period for Intraday timeframe. You may keep both same as per your choice.
8] For RSI set the Overbought and Oversold Levels of your choice.
9] Similarly user will be able to set its own timeframe for calculating Elders Force Index and Commodity Channel Index, and also set the Overbought and Oversold Levels of your choice.
10] Traders will have a choice to monitor Stock Price with reference to 3 Super Trend indicators based on 3 different parameters of their choice.
11] To calculate the Relative Strength and Moving Average High/Low Bands I have used the lookback period of 55 and used RMA instead of SMA or EMAs since I found that RMAs are more reliable than SMA or EMAs.
12] To measure the relative strength of a Stock w.r.t. a Benchmark Index or a Sectoral Index, user will have to select the RS - Comparative Symbol. This Comparative Symbol (Script) will be used to measure the relative strength of all the 13 scripts.
13] Kindly note that since this Dashboard will monitor 13 scripts simultaneously it will occupy huge space on the chart, hence I have made a provision to select the number of scripts to be shown on the dashboard minimum is 1 and max is 13.
14] With this indicator you will be able to monitor the price action and following indicators.
a) Last Traded Price
b) Price Change (Between Current candle and previous candle of the selected timeframe)
c) Price Change Percentage (Between Current candle and previous candle of the selected timeframe)
d) Volume Change (Between Current candle and previous candle of the selected timeframe)
e) Volume vs. SMA(Volume) with different color shaded ranging from -ve values to 100%, 100% to 200%, 200% to 500% and more than 500%
f) If Price is above VWAP then its a Buy else its a Sell signal
g) Signals based on RSI values and its corresponding relation with Overbought and Oversold Levels -such as Bullish, Bearish, Long Unwinding, Short Covering, Long Buildup, Short Buildup, Neutral levels
h) 3 Supertrend Indicators
i) Central Pivot Range (Calculated on a Daily Timeframe) - If LTP > CPR = Bullish, LTV < CPR = Bearish else Neutral
j) Elders Force Index - If EFI > 0 Buy if EFI < 0 Sell
k) Signals based on CCI values and its corresponding relation with Overbought and Oversold Levels -such as Bullish, Bearish, Long Unwinding, Short Covering, Long Buildup, Short Buildup, Neutral levels
l) Moving Average Envelop of 55 RMA calculated on Highs and Lows. If Low > Upperband = Bullish, if High < Lowerband = Bearish else Neutral
m) Relative Strength (RS). If RS of a Script in comparison to the Comparative Symbol is positive then it will shown in Green else it will be shown in Red color.
Kindly note that for Index scripts have got no volume so all indicators (Volume, SMA(Volume), VWAP and EFI) which require Volume as an Input parameter will be shown in Gray color because there is no volume data available to calculate these Indicator values and determine whether the Index is in Bullish Territory or in Bearish territory.
I hope you would enjoy using this indicator and it will act as a light house in your trading journey.
Warm regards
Rahul Desai
@Artharjan
CCI High Performance long onlyThis strategy is based on the classic Commodity Channel Index and only works long.
The system enters the market when this indicator is very low ( CCI <-150 or user-defined threshold) and as soon as it regains strength (i.e. CCI> CCI of the previous candle) with a filter on the "strength" of the prices themselves (i.e. the closing of the candle that provides the signal must be higher than a certain difference - fixed at 0.25% - at the opening of the candle itself).
You exit the market when you either incur a stop loss or when the prices are above the upper band of the CCI.
This system is used to have a high number of profitable operations (well over 50%) with little effort in terms of number of bars, rather than wanting to capture the actual duration of a trend. It is therefore recommended for those who "suffer to see the potential losses".
CCI and ADX_by RMCCI and ADX
ENTRY:
Buy: When CCI crosses -100 level from -200 level(1hr/15min Time Frame)
Short: When CCI crosses 100 level from 200 level (1hr/15min Time Frame)
Closing of Position : 1:1 OR 1:2 (Or As per Value Zone)