Up/Down Range Momentum MTFSo using the script of
and adding non repainting MTF function to it we create this momentum model
You can enter either at cross of blue line or at cross of 0 and vice versa at red line.
since it has MTF function you can look it on different time frames just set int 2 to the TF of your desire
Indicateur de Momentum (MOM)
JSE Market Breadth Stocks>MAThis indicator is for the Johannesburg Stock Exchange (JSE) and indicates the number of stocks in the Top 40 Index above its selected Smooth Moving Average (SMA). Typically the 200SMA is used to see the longer term health of the market and the 50SMA for a short term view. Currently the market has reached a point that less than 2% of stocks were above their 200SMA which is the lowest since 2013.
Volatility Based Momentum (VBM)The Volatility Based Momentum (VBM) indicator is a variation on the rate-of-change (ROC) indicator. Instead of expressing momentum in a percentage gain or loss, VBM normalizes momentum using the historical volatility of the underlying security.
The VBM indicator offers numerous benefits to traders who orient their trading around volatility. For these traders, VBM expresses momentum in a normalized, universally applicable ‘multiples of volatility’ (MoV) unit. Given the universal applicability of MoV, VBM is especially suited to traders whose trading incorporates numerous timeframes, different types of securities (e.g., stocks, Forex pairs), or the frequent comparison of momentum between multiple securities.
The calculation for a volatility based momentum (VBM) indicator is very similar to ROC, but divides by the security’s historical volatility instead. The average true range indicator (ATR) is used to compute historical volatility.
VBM(n,v) = (Close - Close n periods ago) / ATR(v periods)
For example, on a daily chart, VBM(22,65) calculates how many MoV price has increased or decreased over the last 22 trading days (approximately one calendar month). The second parameter is the number of periods to use with the ATR indicator to normalize the momentum in terms of volatility.
For more details, there is an article further describing VBM and its applicability versus ROC.
[RESEARCH] MomentumHello traders and developers!
I compared different techniques to get momentum of the series.
The 4 samples are:
1) Raw difference between price and price some bars ago
2) Built-in "change" function
3) Built-in "mom" function
4) Jedi's momentum - difference between current and previous SMA multiplied by it's period
All results are identical.
So, we have two built-in functions that do the same thing: "change" and "mom". For brevity it is better to use "mom" when you need to get momentum of the series.
Good luck!
Asymmetrical RSIThis indicator was originally developed by Sylvain Vervoort (Stocks & Commodities, V.26:11 (October, 2008): "ARSI, The Asymmetrical RSI").
Coppock CurveThis indicator was originally developed by Edwin "Sedge" Coppock (Barron's Magazine, October 1962).
Specially for @AlexMayorov :
1) Buy when indicator crosses the zero line upside
2) Sell when indicator crosses the zero line downside
Phase Change IndexPhase Change Index script.
This indicator was developed and described by M. H. Pee (Stocks & Commodities V.22:5 (28-37): Phase Change Index).
Other indicators of M. H. Pee:
Ehlers Smoothed Adaptive MomentumEhlers Smoothed Adaptive Momentum script.
This indicator was developed and described by John F. Ehlers in his book "Cybernetic Analysis for Stocks and Futures" (2004, Chapter 12: Adapting to the Trend).
Stoch Momentum Index* Original code from UCSgears.
* Added circles for when Stoch MI and signal line crosses.
TrapTradingBuy on dips and sell into rallies. Simple as that.
- Short line (green)
- Base line (white)
- Long line (red)
When the market price touches the white or the red(green) lines, buy(sell) orders are generated.
The exit points are 2 lines above(below) the entries.
Parameters
- Period: It affects the value of Base line and the spacing of each line.
- Multiple: Specify the spacing between each line.
Dynamic Momentum Index (DMI) Backtest 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.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Dynamic Momentum Index (DMI) 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:
- This script to change bars colors.
Trend Continuation FactorTrend Continuation Factor indicator script.
This indicator was originally developed by M.H. Pee (Stocks & Commodities V. 20:3 (58-64): Trend Continuation Factor).
