GKD-C Momentum Ratio Oscillator [Loxx]Giga Kaleidoscope GKD-C Momentum Ratio Oscillator is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Momentum Ratio Oscillator as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Momentum Ratio Oscillator
What is an EMA?
EMA stands for Exponential Moving Average , which is a type of moving average that is commonly used in technical analysis to smooth out price data and identify trends.
In a simple moving average ( SMA ), each data point is given equal weight when calculating the average. For example, if you are calculating the 10-day SMA , you would add up the prices for the past 10 days and divide by 10 to get the average. In contrast, in an EMA , more weight is given to recent prices, while older prices are given less weight.
The formula for calculating an EMA involves using a smoothing factor that is multiplied by the difference between the current price and the previous EMA value, and then adding this to the previous EMA value. The smoothing factor is typically calculated based on the length of the EMA being used. For example, a 10-day EMA might use a smoothing factor of 2/(10+1) or 0.1818.
The result of using an EMA is that the line produced is more responsive to recent price changes than a simple moving average . This makes it useful for identifying short-term trends and potential trend reversals. However, it can also be more volatile and prone to whipsaws, so it is often used in combination with other indicators to confirm signals.
Overall, the EMA is a widely used and versatile tool in technical analysis , and its effectiveness depends on the specific context in which it is applied.
What is Momentum?
In technical analysis , momentum refers to the rate of change of an asset's price over a certain period of time. It is often used to identify trends and potential trend reversals in financial markets.
Momentum is calculated by subtracting the closing price of an asset X days ago from its current closing price, where X is the number of days being used for the calculation. The result is the momentum value for that particular day. A positive momentum value suggests that prices are increasing, while a negative value indicates that prices are decreasing.
Traders use momentum in a variety of ways. One common approach is to look for divergences between the momentum indicator and the price of the asset being traded. For example, if an asset's price is trending upwards but its momentum is trending downwards, this could be a sign of a potential trend reversal.
Another popular strategy is to use momentum to identify overbought and oversold conditions in the market. When an asset's price has been rising rapidly and its momentum is high, it may be considered overbought and due for a correction. Conversely, when an asset's price has been falling rapidly and its momentum is low, it may be considered oversold and due for a bounce back up.
Momentum is also often used in conjunction with other technical indicators, such as moving averages or Bollinger Bands , to confirm signals and improve the accuracy of trading decisions.
Overall, momentum is a useful tool for traders and investors to analyze price movements and identify potential trading opportunities. However, like all technical indicators, it should be used in conjunction with other forms of analysis and with consideration of the broader market context.
What is Momentum Ratio Oscillator?
The theory behind this indicator involves utilizing a sequence of exponential moving average ( EMA ) calculations to achieve a smoother value of momentum ratio, which compares the current value to the previous one. Although this results in an outcome similar to that of some pre-existing indicators (such as volume zone or price zone oscillators), the use of EMA for smoothing is what sets it apart. EMA produces a smooth step-like output when values undergo sudden changes, whereas the mathematics used for those other indicators are completely distinct. This is a concept by the beloved Mladen of FX forums.
To utilize this version of the indicator, you have the option of using either levels, middle, or signal crosses for signals. The indicator is range bound from 0 to 1.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
Tìm kiếm tập lệnh với "momentum"
Impulse Momentum MACD - Slow and FastImpulse Momentum MACD - Slow and Fast
The Momentum indicator is a technical indicator that measures the speed and strength of the price movement of a financial asset. This indicator is used to identify the underlying strength of a trend and predict potential changes in price direction, when the indicator crosses the zero line, it can signal a change of direction in the price trend.
On the other hand, the MACD is an indicator used to identify the trend and strength of the market and shows the difference between two exponential moving averages ( EMA ) of different periods. The MACD is commonly used to determine the direction of an asset's price trend.
COPOSITION AND USE OF THE INDICATOR
This script is an implementation of the Impulse Momentum MACD indicator with two variations: slow and fast. It uses a combination of the Momentum indicator and the Moving Average Convergence/Divergence (MACD) indicator to identify trend reversals and momentum changes in an asset's price.
The combination of both indicators can help traders identify market entry and exit opportunities. The Impulse Momentum MACD is a Modified MACD, it is formed by filtering the values in a range of Modifiable Moving Averages by calculating their high and low ranges,This indicator has two parts: a slow part and a fast part. The slow part uses input values for the lengths of the moving averages and the length of the signal for the MACD indicator. The fast part uses different input values for the lengths of the moving averages. Also, each part has its own set of line colors and histogram colors for easy visualization.
The script also includes inputs to choose the type of moving average to use (SMA, EMA, etc.), the lookback period, the colors for the histogram lines and bars, and a zero trend line (also known as a horizontal trend line). ).
* Highest performing custom settings for the zero trend line. For Operations of:
- One Minute: Trend Line Time Frame = Five Minutes.
- Three Minutes: Trend Line Time Frame = Fifteen Minutes.
- Five Minutes: Trend Line Time Frame = Thirty Minutes.
- Fifteen Minutes: Trend Line Time Frame = Sixty Minutes.
Rules For Trading
🔹 Bullish:
* The Zero Horizontal Trend Line should be in Green Color.
* The Slow Histogram Bar should be in Green Color.
* The Fast Histogram Bar must be in Blue or Black Color or No Bar Appears.
* The Momentum Line or Momentum Area must be in Green Color.
crosses:
- When the Impulse Momentum MACD Slow line crosses the Impulse Momentum MACD Slow signal line upwards.
- When the Impulse Momentum MACD Fast line crosses the Impulse Momentum MACD Fast signal line upwards.
- Note 1: A Position is Opened when the condition of any of the aforementioned crossovers is met.
- Note 2: If the two aforementioned crossings anticipate the condition of the Zero Horizontal Tendency Line because it is in Red; A position is only opened immediately when the Zero Horizontal Trend line turns Green.
🔹 Bearish:
* The Zero Horizontal Trend Line should be in Red Color.
* The Slow Histogram Bar should be in Red Color.
* The Fast Histogram Bar must be in Blue or Black Color or No Bar Appears.
* The Momentum Line or Momentum Area must be in Red Color.
crosses:
- When the Impulse Momentum MACD Slow line crosses the Impulse Momentum MACD Slow signal line downwards.
- When the Impulse Momentum MACD Fast line crosses the Impulse Momentum MACD Fast signal line downwards.
- Note 1: A Position is Opened when the condition of any of the aforementioned crossovers is met.
- Note 2: If the two aforementioned crossings anticipate the condition of the Zero Horizontal Tendency Line because it is Green, an immediate position is only opened when the Zero Horizontal Tendency line turns Red.
This script can be used in different markets such as forex, indices and cryptocurrencies for analysis and trading. However, it is important to note that no trading strategy is guaranteed to be profitable, and traders should always conduct their own research and risk management.
Momentum Regime Filter BTC by [VanHelsing]Momentum Regime Filter BTC by
This is a usefull indicator what shows you a macro state of BTC trend.
Most of the trend indicators get lost in the ranging market or switch to bearish during simple pullbacks.
And I decided to creat it to ignore all this noise from a market and see what exactly major trend is!
-How it Works:
For find out what curent trend on BTC is, it using RSI and Normalized Momentum square.
When squre of both momentum and rsi is above zero it is an uptrend when below it is down trend.
I can say it is an momentum indicator. It works only on BTC and on all exchanges of it.
-How to read it
-BackTest (2D BTC Index, momentum length = 15, linear reg = 5) it works on any BTC exchange
Smoother Momentum MACD w/ DSL [Loxx]Smoother Momentum MACD w/ DSL uses two different EMA calculations to derive momentum and then calculates the MACD between those momentum outputs. This indicator uses a variation of Discontinued Signal Lines for the breakout/breakdown/reversal signals . There are three different signal types: middle, levels, and slope. I've also added alerts and signals. The discontinued signal lines can be smoothed using EMA or Fast EMA.
What are DSL Discontinued Signal Line?
A lot of indicators are using signal lines in order to determine the trend (or some desired state of the indicator) easier. The idea of the signal line is easy : comparing the value to it's smoothed (slightly lagging) state, the idea of current momentum/state is made.
Discontinued signal line is inheriting that simple signal line idea and it is extending it : instead of having one signal line, more lines depending on the current value of the indicator.
"Signal" line is calculated the following way :
When a certain level is crossed into the desired direction, the EMA of that value is calculated for the desired signal line
When that level is crossed into the opposite direction, the previous "signal" line value is simply "inherited" and it becomes a kind of a level
This way it becomes a combination of signal lines and levels that are trying to combine both the good from both methods.
In simple terms, DSL uses the concept of a signal line and betters it by inheriting the previous signal line's value & makes it a level.
Included:
Loxx's Expanded Source Types
Alerts
Signals
Bar coloring
Other momentum indicators
CFB-Adaptive Velocity Histogram
Variety-Filtered, Squeeze Moving Averages
William Blau Ergodic Tick Volume Indicator (TVI)
STD Aadaptive, floating RSX Dynamic Momentum Index [Loxx]STD Aadaptive, floating RSX Dynamic Momentum Index is an attempt to improve Chande's original work on Dynamic Momentum Index. The full name of this indicator is "Standard-Deviation-Adaptive, floating-level, Dynamic Momentum Index on Jurik's RSX".
What Is Dynamic Momentum Index?
The dynamic momentum index is used in technical analysis to determine if a security is overbought or oversold. This indicator, developed by Tushar Chande and Stanley Kroll, is very similar to the relative strength index (RSI). The main difference between the two is that the RSI uses a fixed number of time periods (usually 14), while the dynamic momentum index uses different time periods as volatility changes, typically between five and 30.
What is RSX?
RSI is a very popular technical indicator, because it takes into consideration market speed, direction and trend uniformity. However, the its widely criticized drawback is its noisy (jittery) appearance. The Jurk RSX retains all the useful features of RSI, but with one important exception: the noise is gone with no added lag.
Differences
RSX is used instead of RSI for the calculation, producing a much smoother result
Standard deviation is used to adapt the RSX calculation
Floating levels are used instead of fixed levels for OB/OS
Included
-Change bar colors
GD MomentumGD Momentum plots short, medium, and long term momentum indicators. The indicators are inspired by momentum structural analysis techniques, and are the % above or below different moving averages. The short term plot is the % above or below the 30 unit moving average, medium is 200 units, and long is 1000 units.
Draw trend lines and horizontal lines to identify the momentum structure and detect trend changes before they show up in price action.
NeverBot Basic Momentum ShiftNeverBots Basic Momentum Shift Script
This script is a basic up/down indicator to tell you which way momentum has shifted, this should be used as part of another system to add confluence to your already existing long or short thesis. Uses a simple algebraic equation to define the momentum and when up or down has shifted above/below the other.
Combine this with an MA strategy to get entries for a good hit rate. Typically used for intraday but you can still use this as an indicator for higher time frames.
Crypto is very volatile and momentum can shift within a few minutes which is why you will see some failed signals, but typically it works very well for catching the big moves in crypto as momentum becomes very strong due to FOMO etc..
Super Momentum OscillatorA new momentum oscillator. I uploaded this previously but it got deleted I believe because apparently my chart was too cluttered.
Hopefully this is good enough... made some updates as well since then.
What you have is six (!) momentum oscillators that can be weighed together however you please. They are centered on 0 with a fill so its also easy to overlay them (as shown).
Since momentum oscillators vary heavily chart to chart, in terms of resolution, I added that as an option so you can keep the hlines as they are.
Can be useful for spotting higher time frame moves on lower time frames without any of the repaint or needing 6 chart screens. Also a solid improvement over the indicators where people just throw a dozen different length plots together and you have no idea where to look in the end. IMO, at least.
Mix and match high and low lengths however you please.
Also it looks wicked with rasta colors. SMOke (super momentum oscillator kills everything)... your way into financial freedom, mon!
Cyber Momentum V2This Oscillator is another version of my previous Oscillator Cyber Momentum … in this version the CCI formula added to the core calculation therefore there is small differential behavior rather than Cyber Momentum because of different calculation methods …
But both of them are in the same concept; the most optimized signals are those that are in confluence of Cyber Momentum and Cyber Momentum V2 ...
LB Squeeze Momentum DivergencesThis study tries to highlight LazyBear Squeeze Momentum divergences
as they are defined by
TradingLatino TradingView user
Squeeze momentum green peaks are connected by a line
Associated prices to these green peaks are also connected
If both lines have a different slope orientation
then there is a divergence.
It only shows two last divergence lines and angles.
The original chart screenshot shows some divergence lines
on the top or main chart
these were drawn manually
because you cannot write to two different charts
from the same pine script study (Well, not in August 2020 anyways)
It's aimed at BTCUSDT pair and 4h timeframe.
HOW IT WORKS
Simple geometric mathematics are used
to calculate the two lines degrees
Then both degrees are compared
to show if both lines agree ( // or \\ )
or if they disagree ( /\ or \/ )
SETTINGS
(SQZDiver) Show degrees : Show degrees of each Squeeze Momentum Divergence
lines to the x-axis.
(SQZDiver) Show desviation labels : Whether to show
or not desviation labels for the Squeeze Momentum Divergences.
(SQZDiver) Show desviation lines : Whether to show
or not desviation lines for the Squeeze Momentum Divergences.
(ADX) Smoothing
(ADX) DI Length
(ADX) key level
(ADX) Print : Whether to show
or not scaled ADX line
(SQZMOM) BB Length
(SQZMOM) BB MultFactor
(SQZMOM) KC Length
(SQZMOM) KC MultFactor
(SQZMOM) Use TrueRange (KC)
(SQZMOM) Print : Whether to show
or not Squeeze Momentum indicator.
WARNING
Some securities and timeframes might output degrees
too next to zero.
The code might need to be tweaked to meet your needs.
USAGE
One strategy is to sell when you are in a long entry
when you find out that the price slope is upwards ( / )
while the lb smilb slope is downwards: ( \ )
E.g. You will see:
/
\
on the indicator.
Why?
Because it might signal you that the price is
going to correct downwards soon.
FEEDBACK 1
Please let me know if there is any
other strategy based on the red side of
LB Squeeze Momentum
so that I might add support for it in the future.
FEEDBACK 2
Calculating degrees in a chart
with a different x-axis scale
is a nightmare
that's why I did not a range settings
so that values next to zero are
converted into zero
and thus showing an horizontal line.
Feedback is welcome on this matter.
EXTRA 1
If you turn off showing the divergence lines
and if you turn off showing the divergence labels
you almost get what TradingLatino user uses
as its default momentum indicator.
EXTRA 2
Optionally this indicator can show you
a rescaled ADX (it only works properly on 2020 Bitcoin charts)
ABOUT COLOURS
TradingLatino user has both dark green and light green
inverted compared to this LB SQZMOM chart.
CREDITS
I have reused and adapted some code from
'Squeeze Momentum Indicator' study
which it's from TradingView LazyBear user.
I have reused and adapted some code from
'Directional Movement Index + ADX & Keylevel Support' study
which it's from TradingView console user.
Squeeze Momentum Indicator [LazyBear] vHMAThis is a remake of the famous LazyBear Indicator, the Squeeze Momentum Indicator.
All i did was take out the SMA's and replace them with HMA's. HMA is a more responsive moving average.
Hull Moving Average.
This is a derivative of John Carter's "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11).
Black crosses on the midline show that the market just entered a squeeze ( Bollinger Bands are with in Keltner Channel). This signifies low volatility , market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release".
Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator , while I have used a different method (linreg based) to plot the histogram.
More info:
- Book: Mastering The Trade by John F Carter
Here is the original version:
🔗Blockchain Fundamentals - BTC Network Momentum - Cryptorhythms🔗Blockchain Fundamentals - Bitcoin Network Momentum by Cryptorhythms
Description
Network Momentum is a view created by PositiveCrypto which looks into the value transmitted through the Bitcoin blockchain denominated in BTC value plotted against Bitcoin`s price. It serves as a leading indicator of Bitcoin bull markets. Sufficiently high levels of value throughput is needed drive bull markets.
Network Momentum, if it was corrected for Bitcoin`s expanding token supply, would essentially be Bitcoin Velocity. In other words an inverse chart of NVT Ratio.
Bitcoin Network Momentum is another piece of the puzzle to help our understanding of Bitcoin fundamentals and their impact on price. Bitcoin Network Momentum looks at the relationship between Bitcoin’s price and the BTC value of daily transactions flowing through the blockchain.
It is important to note here that we are using the BTC daily value flowing through the blockchain, not the USD daily value which NVT Signal uses.
What we see when we look at this is that the BTC value of daily transactions acts as a leading indicator of Bitcoin’s major market phases.
Extras
We give you the option of changing the median price lookback length
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Power Momentum by Atilla YurtsevenThe Power Momentum indicator calculates momentum in a different way. The graph may look similar. The important part is the color of the bars.
If you set the "Base Line" to "Zero", there are two important things to notice. The orange color when the bars are below the base and the blue color when the bars are above the base.
If you set the "Base Line" to "Stats", instead of coloring bar, you see the bars in exact positions. For example; "Zero" shows you orange bar below the base line but "Stats" shifts the bars over the Base line.
Momentum is calculated statistically. If the momentum moves over to the preset levels, bar colors change concurrently.
BAR STATES
Orange: Orange bar below the base line means high possibility of an upcoming up movement
Blue: Blue bar above the base line means high possibility of an upcoming down movement
I hope you enjoy this indicator. As I stated in my previous indicators, i use statistical methods while developing my indicators.
Disclaimer: All the information in this article, including the indicator, was provided and published for informational purposes only and should not be considered legal or financial advice. Please use at your own risk.
Please remember to follow me and post some comments so i can share more indicators.
Happy trading! :)
Atilla Yurtseven
--SPYDERCRUSHER-- Momentum Peaks™SPYDERCRUSHER MARKET RESEARCH
There are many markets, strategies, and investment timeframes, but one thing never changes – accurate, timely information makes a huge difference to your bottom line results.
The SPYderCrusher Market Research Analysis Suite takes the guesswork out of price changes with clear, actionable data, supported by extensive quantitative testing. We help make your work easier, your results better, and your insight more precise.
The Analysis Suite was formerly a paid add-on package in direct partnership with TradingView. It was the highest-selling software on the platform for good reason – it’s effective. To expand our data, features, and user-experience, we made the move to host client resources on our own. Becoming a client is easy – just a few clicks at www.scmrtrends.com and you’re activated!
Aside from software access, membership includes:
- Free upgrades
- Interactive video training & documentation
- Quantitative modeling & resources
All designed specifically to improve your market timing and expertise. Our value proposition clear: the SPYderCrusher Analysis Suite finds attractive opportunities faster and more accurately than competitors. Clear understanding of price changes increases your confidence, saves you time, and lowers your costs.
About SPYderCrusher Momentum Peaks™
Uses: SPYderCrusher Momentum Peaks™ shows the strength of price trends on two different timeframes. In addition to momentum, it’s an excellent tool to find choppy market conditions. Many tools focus on trends or mean-reversion, but few can accurately measure chop (i.e. non-trending markets).
- Easily find Long-Term Momentum (positive and negative)
- Identify Short-Term Momentum ranges (the brighter green and the brighter red)
- Forecast the expected volatilities of momentum (blue horizontal dots)
Example Chart Above: The sample chart above shows the SPYderCrusher Momentum Peaks™ on BITFINEX:BTCUSD .
- When the Long-Term momentum (positive or negative) is above (below) the Expected Percent bands (blue horizontal dots) then a trend is in place
- When neither are above or below the dots, or only slightly above, the market has no long-term trend, and mean-reversion strategies work best
- The dark green and red show when short-term momentum conditions are stretched and can mean-revert - forward returns tend to be lower short-term when these readings are high
SPYderCrusher Momentum Peaks™ helps you measure expected ranges and visualize trend size - this is a great complement to the other entry/exit/analysis tools in the Suite. PURCHASE HERE .
_________
Thank you for your interest and your support - it's incredibly appreciated
- Daniel Jassy, CFA
Founder of SPYderCrusher Market Research
About - learn about our background and our expertise in quantitative finance
Email: support scmrtrends com
Quick Disclosure: Nothing in this writeup / demonstration should ever be considered as advice or an invitation to buy or sell any securities. Please see the Terms of Use / Privacy Policy for a full disclaimer.
The CFA Institute does not endorse, promote, or warrant the accuracy or quality of SPYderCrusher Market Research. CFA® and Chartered Financial Analyst® designations are registered trademarks owned by the CFA Institute.
© 2018 — SPYderCrusher Market Research™. All Rights Reserved.
DepthHouse - Relative Momentum Range CandlesticksDepthHouse Relative Momentum & Range Candlesticks is a candlestick indicator based off of my previously released RMRO Oscillator.
DepthHouse Relative Momentum Range Candlesticks uses several calculations between the relative momentum and range to help determine trend direction and strength.
Candlestick meanings:
Green : Bullish trend
Blue (default is lime): Bullish trend weakening / possible consolidation
Red: Bearish trend
Salmon (default is orange): Bearish trend weakening / possible consolidation
White : Uncertain
How to get:
As you can see this is an invite only script. In the coming month this indicator, along with many others will become pay to use only. (website on my profile page)
However all my indicators will be FREE until May 1, 2018 . So please try them out!
T o take advantage of this FREE trial:
1. Leave comment on this indicator post! Maybe even give me a follow :D
2. Check out and take advantage of all my other indicators!
Here is the link to the DepthHouse RMRO Oscillator:
Please Note: There are NOT trading signals. Each colored candle represents nothing other than a possibility of which way the trend may go. Be sure to use your own adequate analysis. Use at your own financial risk.
CMO (Chande Momentum Oscillator) Strategy This indicator plots Chande Momentum Oscillator. This indicator was
developed by Tushar Chande. A scientist, an inventor, and a respected
trading system developer, Mr. Chande developed the CMO to capture what
he calls "pure momentum". For more definitive information on the CMO and
other indicators we recommend the book The New Technical Trader by Tushar
Chande and Stanley Kroll.
The CMO is closely related to, yet unique from, other momentum oriented
indicators such as Relative Strength Index, Stochastic, Rate-of-Change,
etc. It is most closely related to Welles Wilder`s RSI, yet it differs
in several ways:
- It uses data for both up days and down days in the numerator, thereby
directly measuring momentum;
- The calculations are applied on unsmoothed data. Therefore, short-term
extreme movements in price are not hidden. Once calculated, smoothing
can be applied to the CMO, if desired;
- The scale is bounded between +100 and -100, thereby allowing you to
clearly see changes in net momentum using the 0 level. The bounded scale
also allows you to conveniently compare values across different securities.
Momentum Master v1Momentum Master v1 - Advanced Multi-Filter Confluence Trading System
### Technical Methodology
Multi-timeframe EMA crossover system with institutional flow analysis, proprietary Fair Value Gap (FVG) retracement detection, and Point of Control (POC) proximity filtering.
The script combines six distinct confirmation filters: 3/21 EMA crossover signals, RSI momentum analysis (14-period), proprietary FVG retracement algorithm with 200-bar lookback, multi-timeframe POC proximity calculation (Volume/Session/Daily/Weekly), institutional order block detection with retest confirmation, and adaptive ATR-based risk management.
### Unique Features
1. Proprietary FVG Retracement Algorithm - Institutional Flow Analysis
2. Multi-Timeframe POC Proximity Filtering - Key Level Analysis
3. Adaptive Confidence Scoring System - Dynamic Risk Management
### How It Works
Long entries require: Fast EMA (3) crosses above Slow EMA (21) + RSI < 70 + volume > 1.1x average + FVG retracement confirmation + POC proximity within 2.0x ATR + order block direction alignment.
Uses ATR-based stop loss placement with 1.0x multiplier. Take profit levels at 2:1, 4:1, 6:1, 8:1, 10:1, and 12:1 risk/reward ratios.
### Value Proposition
This script combines 6 different institutional flow analysis techniques that would require multiple free scripts to replicate. The proprietary FVG retracement algorithm, multi-timeframe POC analysis, and adaptive confidence scoring system are not available in any single free script.
### Use Cases
Best timeframes: 5-minute for scalping, 15-minute for swing trades
Suitable markets: Forex major pairs, Crypto, major indices
Market conditions: Trending markets with high volume sessions
### Access Instructions
To request access to this invite-only script:
Contact: pinescriptedge@gmail.com with your TradingView username
Requirements: Include your TradingView username and brief trading experience
Process: I will review requests within 24 hours and grant access to qualified traders
2 days ago
Release Notes
Momentum Master v1 - Multi-Filter EMA Crossover with Institutional Flow Analysis
### Technical Methodology
The script uses a 3/21 EMA crossover system combined with six confirmation filters: RSI momentum analysis (14-period), proprietary Fair Value Gap (FVG) retracement detection with 200-bar lookback, multi-timeframe Point of Control (POC) proximity calculation, institutional order block detection with retest confirmation, volume analysis (1.1x average threshold), and adaptive ATR-based risk management (14-period ATR with 1.0x multiplier).
### Unique Features
1. Proprietary FVG Retracement Algorithm - Tracks whether price retraces into recent Fair Value Gaps before generating signals, using 200-bar lookback with 20% ATR tolerance for retest confirmation
2. Multi-Timeframe POC Analysis - Combines Volume Profile POC (30-bar), Session POC (previous session HLC/3), Daily POC (previous day HLC/3), and Weekly POC (previous week HLC/3) with 2.0x ATR proximity filtering
3. Adaptive Confidence Scoring - Proprietary algorithm scores signal confidence 0-100% based on filter confluence, adjusting stop loss distance (0.9x to 1.2x ATR) based on signal quality
### How It Works
Long entries require: Fast EMA (3) crosses above Slow EMA (21) + RSI < 70 + volume > 1.1x average + FVG retracement confirmation within 15 bars + POC proximity within 2.0x ATR + order block direction alignment. Optional filters include ADX > 20 for trending markets and divergence confirmation.
Exit strategy uses ATR-based stop loss (1.0x multiplier) with take profit levels at 2:1, 4:1, 6:1, 8:1, 10:1, and 12:1 risk/reward ratios. Multiple concurrent trades allowed with 5-bar cooldown between entries.
### Value Proposition
This script combines 6 different institutional flow analysis techniques that would require multiple free scripts to replicate. The proprietary FVG retracement algorithm, multi-timeframe POC analysis, and adaptive confidence scoring system are not available in any single free script. Most free scripts only provide basic EMA crossover signals without institutional context.
### Use Cases
Best timeframes: 5-minute for scalping, 15-minute for swing trades, 1-hour for position entries
Suitable markets: Forex major pairs (EUR/USD, GBP/USD), Crypto (BTC/USD, ETH/USD), major indices (S&P 500, NASDAQ)
Market conditions: Trending markets with ADX > 20, high volume sessions (London/NY overlap)
### Access Instructions
To request access to this invite-only script:
Contact: pinescriptedge@gmail.com with your TradingView username
Requirements: Include your TradingView username and brief trading experience
Process: I will review requests within 24 hours and grant access to qualified traders
D1 Momentum Trigger (Filter ADX)D1 MOMENTUM TRIGGER + ADX – Added ADX filter to avoid strong trend periods during reversal trades. The ADX period is configurable.
D1 Momentum Trigger (with filter D1 + Slope Filter)Multi‐timeframe indicator that identifies trend and entry points with daily confirmation and volatility filters:
Daily Trend Filter
Verifies that 4-, 6-, and 8-period momentum are all above (long) or below (short) their EMA(3) on the D1 chart, ensuring signals align with the higher-timeframe trend.
Entry Signals (Current Timeframe)
Momentum 4/6/8 > (or <) EMA(3) of the 8-period momentum
Price in the lower (long) or upper (short) 20% of the Bollinger Bands (20,2)
Positive (long) or negative (short) 50-EMA slope above a customizable threshold
Visual Overlays
Triangles for long/short entries
Dots to show active daily confirmation
Adjustable Settings
DifferenceThreshold: EMA50 slope sensitivity
BB% thresholds to define acceptable volatility
Ideal for traders seeking a systematic multi-timeframe approach with trend confirmation and volatility control.
GOOD TRADING!
True Range MomentumThe indicator calculates the momentum of bullish and bearish based on the average true range and the highest highs and lowest lows of the historical price.
The indicator displays the strength for either taking a long position, or a short position.
The simplest way to use the indicator is to take a long position when the M+ line crosses above the 0 line. Similarly, to short, the M- line should cross above the 0 line. The exit would be when the respective line crosses below the 0 line.
The contrarian traders should wait for the lines to start rising towards the 0 line and taking an exit. In essence, the line should be going from negative to 0.
The greater the divergence between the M+ and M-, the stronger the trend.
The small table of Long and Short suggests what is in strength. A 100 will show a strong trend in the respective direction. It will be 50-50 when there is no clear direction, ideally identifying a consolidation range.
[TTI] Stage Analysis Momentum Index––––History & Credit
The credit to this indicator goes to Stan Weinstein, the father of Stage Analysis. By studying his books and methods he has disclosed the exact way of calculating the Momentum Index that is being used by him and his team in order to gauge the market.
–––––What it does
The indicator falls into the category of technical indicators used by Stan. It calculates an simple moving average based on the difference between the Advancing and Declining issues on various markets.
The settings of the indicator allow to adjust the length of the moving average as well to choose 1 of the 3 markets for which it has been scripted to work: NYSE, NASDAQ or Total US Stocks.
–––––How to use it
The indicator ought to be used on the daily chart
The most important thing to look for is if the indicator is if it is above zero and below zero. A below zero Momentum index is an outright bearish signal and traders should consider stepping out of the market or initiate short positions.
The other things that ought to be considered are the depth and length of the prior to a violating action. In a nutshell the longer, stronger the above zero action the more powerful a below zero cross will be.
Dynamic Zones Polychromatic Momentum Candles [Loxx]Dynamic Zones Polychromatic Momentum Candles is a candle coloring, momentum indicator that uses Jurik Filtering and Dynamic Zones to calculate the monochromatic color between two colors.
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.
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading lev- els. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
Included
Loxx's Expanded Source Types
Momentum [SignalCave]Momentum Indicator helps you to identify potential reversal areas .
Calculation done with using Relative Strength Index (RSI), Money Flow Index (MFI) and Average Directional Movement Index (ADX) indicators.
On full strength bearish movement bars paints as light red , full strength bullish movement bars paints as light green color.
They indicates that trend can be change to opposite direction in a short period of time.
Momentum Strength have three modes which are "Aggressive, Moderate and Conservative" . You can customize the mode on settings screen.
Alerts are available for "Bullish Momentum, Bearish Momentum" conditions.
Type asset name on symbol search area.
Adjust your timeframe that you wish to track.
Click "Create Alert" .
Select one of the condition that you wish to get inform from create alert panel.
Select "Once Per Bar Close" option.
Click "Create" .
