Strategy

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Squeeze M + ADX + TTM (Trading Latino & John Carter) by [Rolgui]About this indicator:
This indicator aims to combine two good performing strategies, which can be used separately or together, mainly for investment positions, although it can also be used for intraday trading.
Strategy 1) Squeeze Oscillator and Average Directional Index:
This strategy is taught by Jaime Aibsai, which determines market entries based on reading the direction of the price movement (Directionality of the Oscillator) along with the strength of the Oscillator (Slope of the ADX).
Both tools are configured according to Jaime Abisai's strategy, by default (note that point 23 of the ADX is represented by point 0 on the panel, to make reading easier, its interpretation is not affected). Anyway you can adjust the input data according to your interest.
*You can see this setting in the first panel.
Strategy 2) Squeeze Momentum and Trade The Market Waves:
This strategy can be consulted either in John F. Carter's books or on his website.
This market reading is based on Price Volatility (Bollinger Bands and Keltner Channels interaction) and its Trend (Exponential Moving Averages), showing entries at times when price volatility is low and taking filtering active trend using T.T.M. Waves.
To configure the indicator in the same way that Carter does, it would be enough to turn off the ADX, turn on the Squeeze Momentum signals along with the T.T.M. Waves, and importantly, change the Linear Momentum value to 12 (this configuration can be found in his book).
*You can see this setting in the second panel.
Why this indicator?
I've added and removed the above flags as I needed to query them (which became tedious for me). The main objective of having merged them into one is to make their reading more agile and comfortable and thus improve the decision-making capacity of the trader who wishes to use them.
Credits and Acknowledgments:
I would like to give credits to other authors, for the sections of code that I have used to make this technical indicator. Thanks to @LazyBear, @matetaronna, @jombie and @joren for contributing to the community and keeping their code open. It is priceless!
Feel free to combine and practice your trading with both strategies, personally, they improved my profitability and this is why I recommend researching more about them. I've been using it for crypto investing, let me know if it's worth for you on stock market!
If you have any questions or suggestions you can leave it in the comments!
Greetings! Indicator

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Strategy

Strategy

Measure Volume, Momentum, Trend, VolatilityThis script displays the following indicators in one pane to quickly determine several important factors regarding price action. It allows the user to quickly see all of most important factors surrounding price action in one pane with one quick glance. This should be incredibly helpful and allow things like double divergence and trend confirmation to be spotted much more quickly. I personally use the data in this indicator to replace four separate indicators and it has brought my win rate and profit factor significantly higher. I hadn't seen any place where all of the best J. Welles Wilder indicators such as RSI, Parabolic SAR, and DMI/ADX were brought into one easy to use interface. This is my attempt at fixing that gap. For a much deeper understanding of how to use these indicators, I recommend reading New Concepts in Technical Trading Systems written by J. Welles Wilder.
Momentum via RSI (Relative Strength Index)
Volume via MFI (Money Flow Index)
Volatility via DMI/ADX (Direction Movement Index/Average Directional Index)
Trend via Parabolic SAR (Parabolic Stop and Reverse)
It is worth noting that DMI/ADX and Parabolic SAR can both help determine trend strength and volatility.
The Volatility mechanism is measured by DMI and ADX and displayed at the top of the pane using circles. The top, tiny circles reflect if show if positive DI or negative DI has a higher value. The small circles directly underneath indicate whether or not the ADX is above 20 (configurable, some may choose to increase this to 25 or even 30).
The Momentum mechanism is shown as standard RSI with the default being a white line and default period of 14, which is all configurable.
The Volume mechanism is shown as standard MFI with the default being a fuchsia line and default period of 14, which is also configurable.
The momentum and volume oscillators should be used in conjunction to help spot whether the trend is strong or weak using divergences and the middle, overbought, and oversold levels. These levels are also configurable.
The Trend mechanism is measured by Parabolic SAR and displayed at the bottom of the pane using diamonds. The default is red diamonds when in a bear trend, green when in an uptrend which is configurable. When price is above the Parabolic SAR, it is considered to be an uptrend. When price is below the Parabolic SAR, it is considered to be a downtrend. The way price is measured is also configurable (i.e. open, close, ohlc4, hlc3, etc.). When price crossed above or below the Parabolic SAR, the diamonds will change colors.
All the indicators displayed should be used in a well rounded strategy. For instance, I only trade when ADX is above 20 and rarely trade against the trend shown via PSAR. When trend shifts and divergences helped indicate a trend shift would occur using the RSI and MFI, it can be a great spot to take an entry. RSI/MFI can also confirm the trend is strong when they are not showing divergences and inline with price action. All of this data should be used in conjunction with good fundamental data and technical levels. Divergences with RSI and MFI on double tops or bottoms can also be incredibly powerful. There is no right or wrong way to use all the data displayed in this indicator, however using all four pillars of trading (Momentum, Volume, Trend, Volatility) will help ensure only the best trades are taken. Indicator

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adx: Configurable ADX (library) Library "adx"
Calculate ADX (and its constituent parts +DI, -DI, ATR),
using different moving averages and periods.
adx(atrMA, diMA, adxMA, atrLen, diLen, adxLen, h, l, c)
Parameters:
atrMA : Moving Average used for calculating the Average True Range.
Traditionally RMA, but using SMA here and in adxMA gives good results too.
diMA : Moving Average used for calculating the Directional Index.
Traditionally, RMA.
adxMA : Moving Average used for calculating the Average Directional
Index. Traditionally RMA, but using SMA here and in atrMA gives good results
too.
atrLen : Length of the Average True Range.
diLen : Length of the Directional Index.
adxLen : Length (smoothing) of the Average Directional Index.
h : Candle's high.
l : Candle's low.
c : Candle's close.
Returns: Library

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TAExtLibrary "TAExt"
Indicator functions can be used in other indicators and strategies. This will be extended by time with indicators I use in my strategies and studies.
atrwo(length, stdev_length, stdev_mult) ATR without outliers
Parameters:
length : The length of the ATR
stdev_length : The length of the standard deviation, used for detecting outliers
stdev_mult : The multiplier of the standard deviation, used for detecting outliers
Returns: The ATR value
atrwma(src, period, type, atr_length, stdev_length, stdev_mult) ATR without outlier weighted moving average
Parameters:
src : The source of the moving average
period : The period of the moving average
type : The type of the moving average, possible values: SMA, EMA, RMA
atr_length : The length of the ATR
stdev_length : The length of the standard deviation, used for detecting outliers
stdev_mult : The multiplier of the standard deviation, used for detecting outliers
Returns: The moving average value
jma(src, period, phase, power) Jurik Moving Average
Parameters:
src : The source of the moving average
period : The period of the moving average calculation
phase : The phase of jurik MA calculation (-100..100)
power : The power of jurik MA calculation
Returns: The Jurik MA series
anyma(src, period, type, offset, sigma, phase, power) Moving Average by type
Parameters:
src : The source of the moving average
period : The period of the moving average calculation
type : The type of the moving average
offset : Used only by ALMA, it is the ALMA offset
sigma : Used only by ALMA, it is the ALMA sigma
phase : The phase of jurik MA calculation (-100..100)
power : The power of jurik MA calculation
Returns: The moving average series
wae(macd_src, macd_fast_length, macd_slow_length, macd_sensitivity, bb_base_src, bb_upper_src, bb_lower_src, bb_length, bb_mult, dead_zone_length, dead_zone_mult) Waddah Attar Explosion (WAE)
Parameters:
macd_src : The source series used by MACD
macd_fast_length : The fast MA length of the MACD
macd_slow_length : The slow MA length of the MACD
macd_sensitivity : The MACD diff multiplier
bb_base_src : The source used by stdev
bb_upper_src : The source used by the upper Bollinger Band
bb_lower_src : The source used by the lower Bollinger Band
bb_length : The lenth for Bollinger Bands
bb_mult : The multiplier for Bollinger Bands
dead_zone_length : The ATR length for dead zone calculation
dead_zone_mult : The ATR multiplier for dead zone
Returns:
ssl(length, high_src, low_src) Semaphore Signal Level channel (SSL)
Parameters:
length : The length of the moving average
high_src : Source of the high moving average
low_src : Source of the low moving average
Returns:
adx(atr_length, di_length, adx_length, high_src, low_src, atr_ma_type, di_ma_type, adx_ma_type) Average Directional Index + Direction Movement Index (ADX + DMI)
Parameters:
atr_length : The length of ATR
di_length : DI plus and minus smoothing length
adx_length : ADX smoothing length
high_src : Source of the high moving average
low_src : Source of the low moving average
atr_ma_type : MA type of the ATR calculation
di_ma_type : MA type of the DI calculation
adx_ma_type : MA type of the ADX calculation
Returns: Library

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DMI (Multi timeframe) DI Strategy [KL]Directional Movement Index Strategy
Entry conditions:
- (a) when DI+ > DI- on timeframe #1, and
- (b) Confirmation: when DI+ > DI- on timeframe #2
In the shown example, timeframe1 was same as the chart (1H) and timeframe2 was 1D.
Stop Loss: ATR based trailing stop
About DMI
Can refer to Investopedia for general understanding.
Applications of DMI in this strategy:
- Assumes uptrend when DI+ is above DI- (when green DI+ lines above red DI-), vice versa for downtrend. This is checked in two different timeframes that can be set by user in settings.
- DX is ignored, it doesn't give a direction of the trend. But if DX was applied, it would be a good indicator for quantifying the strength of uptrend/downtrend. This measurement would typically be read along a threshold (i.e. if below 20, then market is likely consolidating). All of these have been commented out (ignored by pinescript's interpreter via //) in the codes, as said; we are not using DX for sake of simplicity.
Visualizations
To make the chart look cleaner, DMI plots have been simplified to just down/up arrows placed at bottom of the chart.
Referring to the example chart:
- Green arrows : when DI+ > DI- for both timeframes, implies uptrend
- Red arrows: other way around (DI+ < DI-), implies downtrend Strategy

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