Triangular Momentum Oscillator & Real Time Divergences [LuxAlgo]Oscillators are widely used in technical analysis and can return a large amount of information to the trader depending on their design. It is common to use oscillators to detect divergences with the price, divergences occur when the tops/bottoms made by the oscillator and price are negatively correlated.
The following oscillator is based on the momentum of a triangular moving average, hence the name "triangular momentum" because of the very smooth property of the triangular moving average, we aimed at a real-time detection of divergences instead of using more common methods such as relying on pivot high/low detection which are suitable for more noisy oscillators.
The oscillator can also be colored based on a gradient derived from the correlation between its output and the price which can be useful to detect when the oscillator is out of phase (significantly lagging or leading the price).
Settings
length : Period of the oscillator, higher values return a smoother output.
src : Input source of the indicator.
Show Lines : Show lines connecting the current top/bottom with the previous one made by the oscillator when a divergence is detected. True by default.
Color Based On Price/Oscillator Correlation : Allows the color of the oscillator to change based on its correlation with the price, with red colors suggesting a negative correlation.
Usages
The advantage of having a smoother oscillator for divergences detection is that it can be done in real-time since a top or bottom is present when the oscillator first difference cross 0. Smoother oscillators are also easier to interpret, however, they will still suffer from lag.
The divergences detected by the oscillator are regular divergences, where the oscillator leads price variations.
Using higher values of length allows the oscillator to filter out longer-term variations thus being smoother as a result.
By using the color mode based on the price/oscillator correlation we can see where the oscillator leads or lag the price, and since divergences are based on the price and oscillator going in the opposite direction we can have information where price might reverse.
It is also possible to interpret the oscillator without relying on the divergence detection, with a decreasing value of the oscillator indicating a downtrend and an increasing value indicating an uptrend.
在腳本中搜尋"momentum"
True Momentum Oscillator"TMO calculates momentum using the delta of price. Giving a much better picture of trend, trend reversals and divergence than momentum oscillators using price". This is comparable to the WaveTrend Oscillator, gives more or less better or worse signals depending on the time frame and markets. This is a free and open source indicator found in many platforms, now ported to TV.
This indicator uses the closing and opening of the price in a way that reminds me of the Qstick indicator but it seems different. It's an oscillator with overbought and oversold zones and crossovers for entry and exits. I included the option of changing the moving averages from the standard exponential types used in its 3 functions to calculate the main and signal lines just in case the settings need to be changed further or if anyone wants to experiment to find better settings on top of just changing the lengths for each length type. I added dots for when the Main line crosses the Signal line. The Main line is darkened in case anyone needs to see it better.
Relative Momentum Index (RMI) OscillatorThe Relative Momentum Index (RMI) is a sibling to the RSI. Where the RSI measures trend based on the average (RMA) of gains and draws over a length of time , the RMI measures based on the SUM of gains and draws . Myself and many others have found that the RMI oscillates better than the RSI does.
I paired the RMI with the oscillation method the Fisher Transformation uses to oscillate the value from -1.0 to 1.0 instead of the Stochastic way of 0 to 100. This way you can enable the Fisher transform, if desired. But I also just prefer the appearance of that.
Some options and features I have coded in-
RMI Length: This is the length of the Relative Momentum Index itself. Like the length of RSI, default 14
Oscillation Length: This is your oscillation length, like a Stochastic. If you put the length at 1 it will turn the indicator into the straight up RMI indicator. (If you select to use the Fisher Transform, the overbought/oversold lines will not show nicely)
Source Pre-Smoothing: The option of smoothing out the source, ie close, before you even run it through the RMI, oscillation, and/or transform
Oscillator Post-Smoothing: The option of smoothing the output of the script
Trailing MA: If desired, you can check the box to Use a Trailing Signal, and enter the length of lookback for a Simple Moving Average (SMA) of the RMI Osc value
Use Fill Colors on MA: If enabled, it will fill the area between the RMI Osc and the trailing MA. I chose to use colors that are similar to some educational ideas I have published, whereby nearing the bottom of the oscillation you get Green to signal Accumulation, and near the top you get Red to signal Distribution. Following red is Black, where you typically get late signal sellers that Capitulate and sell stops trigger. Blue is where traders tend to Chase price up.
The most primitive way of using this indicator would be sell when the value exceeds the overbought/top line and buy when it falls below the oversold/bottom line. You can find ways to use the fill colors, or MA crossovers, rising lows or rising highs, etc. for signals.
Here's a comparison of this indicator to the Stochastic RSI, using similar values-
Here's showing the indicator on intraday values at defaults with some pre- and post-smoothing-
Same thing, but with Fisher Transform enabled-
And an example of the fill bands in action-
Please feel free to use any part of this code as desired.
Linear Scientific Momentum Based on science formula , momentum = mass* velocity
here mass = volume , and velocity here is average velocity .
For VOLUME , MOMENTUM , VOLATILITY = it gives accurate value ( not slow like bb and ma )
(NKC) MTF Squeeze Pro MultiTimeframe Squeeze Momentum Pro
Dots indicate squeeze
Fills indicate momentum
COVID-19: Daily momentumThis indicator shows 14-days moving average of daily rate of change (momentum, acceleration), in other words:
- up trends means that virus accelerates at the rate displayed on the right scale
- consolidation/horizontal movement - virus spreads at constant rate
- down trend - virus looses momentum IMPORTANT: the virus STILL accelerates but at a lower rate
By default the graphic displays World vs. EU vs. US vs. Asia while individual countries are available in Settings.
- EU includes the following countries (DE, FR, IT, ES, CH), all with more than 10k confirmed cases and more than 1k new daily infections.
- Asia includes CH and KR
To use the indicator it is important to disconnect main chart from the right scale, on main chart click on More (the 3 dots) -> Pin to scale -> Select "No Scale".
Combo Backtest 123 Reversal & Dynamic Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Strategy 123 Reversal & Dynamic Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum
Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator
is covered in detail in their book The New Technical Trader.
The DMI is identical to Welles Wilder`s Relative Strength Index except the
number of periods is variable rather than fixed. The variability of the time
periods used in the DMI is controlled by the recent volatility of prices.
The more volatile the prices, the more sensitive the DMI is to price changes.
In other words, the DMI will use more time periods during quiet markets, and
less during active markets. The maximum time periods the DMI can reach is 30
and the minimum is 3. This calculation method is similar to the Variable
Moving Average, also developed by Tushar Chande.
The advantage of using a variable length time period when calculating the RSI
is that it overcomes the negative effects of smoothing, which often obscure short-term moves.
The volatility index used in controlling the time periods in the DMI is based
on a calculation using a five period standard deviation and a ten period average
of the standard deviation.
WARNING:
- For purpose educate only
- This script to change bars colors.
Squeeze X Alerts BFThis is an alerts script for my Squeeze X strategy .
The default settings are the same. The alerts are based on the long and short signals that occur upon a cross of the momentum line to the positive or negative respectively.
Green background is bullish, red is bearish. Bright green lines indicate a long signal, bright red a short signal.
White background means no trade since we are in a period of choppy/sideways price action.
It can be useful to use momentum as a divergence indicator against price as an aside.
Strategy based on Squeeze Momentum Indicator [LazyBear]This Strategy is based on LazyBear Squeeze Momentum Indicator.
I added some custom feature and filters.
You can customize a lot of features to get a profitable strategy.
Here is a link to original study.
Please use comment section for any feedback.
Next improvement (only to whom is interested to this script and follows me): study with alerts on multiple tickers all at one. Leave a comment if you want to have access to study.
********************************** IMPORTANT*******************************
I have developed an expert advisor for metatrader4 (MT4) and for jforex platform: results of expert advisor form 2015-01-01 to 2018-11-25 are very good with low drawdown and good profit.
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Chande Momentum OscillatorChande Momentum Oscillator script.
This indicator was developed and described by Tushar S. Chande and Stanley Kroll in their book "The New Technical Trader" (1994, Chapter 5: New Momentum Oscillators).
Stochastic Momentum multi. strategyThe Stochastic Momentum Index (Stoch MTM, SMI) is based on the Stochastic Oscillator. The difference is that the Stochastic Oscillator calculates where the close is relative to the high/low range, while the SMI calculates where the close is relative to the midpoint of the high/low range. The values of the SMI range from +100 to -100. When the close is greater than the midpoint, the SMI is above zero, when the close is less than than the midpoint, the SMI is below zero.
The SMI is interpreted the same way as the Stochastic Oscillator. Extreme high/low SMI values indicate overbought/oversold conditions. A buy signal is generated when the SMI rises above -50, or when it crosses above the signal line. A sell signal is generated when the SMI falls below +50, or when it crosses below the signal line. Also look for divergence with the price to signal the end of a trend or indicate a false trend.
The Stochastic Momentum Index was developed by William Blau and was introduced in his article in the January, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
Missile RSI (RSI of momentum w/ Dominant Cycle length + Fisher)This is a predictive indicator that looks for explosions in momentum of the cycles in price and large shifts in Momentum (Fisher turns the Bimodal PDF into Guassian like) as statistically unlikely events, showing points to exit or reverse positions.
You can adjust the lowpass frequency cuttoff (Aka what cycles you want to remove from the calculations through the super smoother filter).
To be honest you can monkey trade the direction of the Signal if you'd like but the Divergences and Maxing of the values is whats most useful.
Let me know if you guys want me to add anything else.
Grimes Modified MACD + Highest / Lowest Momentum IndicatorModified MACD without histogram, using SMA instead of EMA and a higher and lower band to make it easy to compare the current momentum push to the last momentum push.
Strenght and MomentumThe scope of this script is to measure momentum and strenght of EURO and DOLLAR using their indexes.
Forza (line) above 0 means EURO is stonger than DOLLAR
Momento (histogram) above 0 means EURO has a positive momentum against DOLLAR
The added value to see MACD and RSI directly on EURUSD chart is that indexes consider also other pairs so their RSI and MACD has a larger view on forex markets.
Script has also an option for multi timeframes.
I think that could be used as filters for LONG or SHORT positions in lower time frames.
Up/Down RangeMeasuring the difference between the highs and lows from the average, this measure can serve as a proxy for the volatility, just like the ATR.
However, it breaks the range into an upward and a downward moving component, so it also gives information about the current trend direction.
In fact, I turned it into a momentum indicator here:
Stochastic Momentum IndexStochastic Momentum Index
William Blau "Momentum, Direction, and Divergence",
John Wiley and Sons, Inc. 1995, ISBN 0-471-02729-4, page 29:
SM(q) = close - 0.5*(HH(q) + LL(q))
SMI(q, r, s) = 100*(EMA(EMA(SM(q), r)), s)/(0.5*EMA(EMA(HH(q)-LL(q)), r), s)
MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point.
Long Term:
- If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts
Medium Term:
- If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries.
Short Term:
- If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend.
Close Trade:
- Trade is closed when the Medium term SmoothK Crosses under/above SmoothD.
You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan.
Best of luck!
Squeeze Momentum Alert ScriptThis is the alert script for the squeeze momentum strategy found here...
Long on Green,
Short on Red,
Close Longs on Aqua,
Close Shorts on Orange.
FREE INDICATOR: Relative Momentum Index (RMI)RMI, as requested by glaz
Description:
The Relative Momentum Index was developed by Roger Altman and was introduced in his article in the February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While your typical RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago. The result is an RSI that is a bit smoother.
Usage:
Use in the same way you would any other RSI. There are overbought and oversold zones, and can also be used for divergence and trend analysis .
Grab the source code here: pastebin.com
Installation video by @ChrisMoody here : vimeopro.com
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I'd like as many people as possible to get it :)
MNQ 3m Momentum BreakoutThis MNQ 3-minute momentum breakout strategy identifies high-probability trades in the direction of the 1-hour trend, enters with 2 contracts on breakouts, and intelligently scales out after reaching an ATR-based profit target. The remaining position is managed with a trailing stop or closed after a timeout.
**Entry Logic:**
* **Long:** Price breaks above 20-bar high **and** 1H trend is up (EMA 200 + MACD > 0)
* **Short:** Price breaks below 20-bar low **and** 1H trend is down
**Position Management:**
* **Start:** Enter with 2 contracts
* **Scale out:** Close 1 contract after reaching ATR-based profit trigger
* **Final exit:** Trailing stop or timeout (30 bars)
**Filters:**
* Multi-timeframe EMA + MACD for trend confirmation
* 3-minute chart for high-frequency entries with precision
Market Entropy Strategy V2.5This strategy is an updated version of a market entropy-based trading system. It removes EMA dependencies and introduces two indicators:
1. **Volatility Momentum Index (VMI)**: Measures volatility acceleration for timing entries (from calm to active phases) and exits (at peak chaos).
2. **Volume-Weighted Price Center (VWPC)**: A volume-weighted trend filter using typical price to determine overall market direction.
The strategy enters trades on transitions from low volatility ("calm") to increasing activity, filtered by trend direction. Exits occur when volatility reaches a high "chaos" threshold. It supports long, short, or both directions, with configurable parameters for optimization.
Backtest results depend on market conditions; use with caution and combine with your own analysis. No guarantees of performance.
