HA UtilityOften we need to see HA candles along with the regular candles, to stay longer in the momentum trades.
Also the replay feature does not work on HA candles.
This indicator does two things -
1) Prints a configurable number of HA candles on the chart. You can specify where they get printed by specifying a percentage.
2) Shows a green line when a Solid Red candle turns into a Solid Green candle
3) Shows a red line when a Solid Green candle turns into a Solid Red candle
Hacandles
Smoothed RSI Heikin Ashi Oscillator w/ Expanded Types [Loxx]Smoothed RSI Heikin-Ashi Oscillator w/ Expanded Types is a spin on Heikin Ashi RSI Oscillator by @JayRogers. The purpose of this modification is to reduce noise in the original version thereby increasing suitability of the signal output. This indicator is tuned for Forex markets.
Differences:
35+ Smoothing Options for RSI
35+ Smoothing Options for HA Candles
Heiken-Ashi Better Expanded Source input. This source input is use for the RSI calculation only.
Signals
Alerts
What are Heiken-Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following :
(Open+Close)/2+(((Close-Open)/( High-Low ))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
Future updates
Expand signal options to include RSI-, Zero-, and color-crosses
Stepped Heiken Ashi Moving Average w/ Jurik Filtering [Loxx]Stepped Heiken Ashi Moving Average w/ Jurik Filtering is a Heiken Ashi moving average with Jurik Filtering and stepping by pips. This can be used as a moving average channel.
What is Jurik Volty used in the Juirk Filter?
One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive.
What is the Jurik Moving Average?
Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines.
Included:
Toggle fill color
Toggle bar color
Toggle candles
loxxexpandedsourcetypesLibrary "loxxexpandedsourcetypes"
Expanded source types used in Loxx's indicators and strategies.
rclose()
rClose: regular close
Returns: float
ropen()
rClose: regular open
Returns: float
rhigh()
rClose: regular high
Returns: float
rlow()
rClose: regular low
Returns: float
rmedian()
rClose: regular hl2
Returns: float
rtypical()
rClose: regular hlc3
Returns: float
rweighted()
rClose: regular hlcc4
Returns: float
raverage()
rClose: regular ohlc4
Returns: float
ravemedbody()
rClose: median body
Returns: float
rtrendb()
rClose: trend regular
Returns: float
rtrendbext()
rClose: trend extreme
Returns: float
haclose(haclose)
haclose: heiken-ashi close
Parameters:
haclose : float
Returns: float
haopen(haopen)
haopen: heiken-ashi open
Parameters:
haopen : float
Returns: float
hahigh(hahigh)
hahigh: heiken-ashi high
Parameters:
hahigh : float
Returns: float
halow(halow)
halow: heiken-ashi low
Parameters:
halow : float
Returns: float
hamedian(hamedian)
hamedian: heiken-ashi median
Parameters:
hamedian : float
Returns: float
hatypical(hatypical)
hatypical: heiken-ashi typical
Parameters:
hatypical : float
Returns: float
haweighted(haweighted)
haweighted: heiken-ashi weighted
Parameters:
haweighted : float
Returns: float
haaverage(haweighted)
haaverage: heiken-ashi average
Parameters:
haweighted : float
Returns: float
haavemedbody(haclose, haopen)
haavemedbody: heiken-ashi median body
Parameters:
haclose : float
haopen : float
Returns: float
hatrendb(haclose, haopen, hahigh, halow)
hatrendb: heiken-ashi trend
Parameters:
haclose : float
haopen : float
hahigh : float
halow : float
Returns: float
hatrendbext(haclose, haopen, hahigh, halow)
hatrendext: heiken-ashi trend extreme
Parameters:
haclose : float
haopen : float
hahigh : float
halow : float
Returns: float
habclose(smthtype, amafl, amasl, kfl, ksl)
habclose: heiken-ashi better open
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habopen(smthtype, amafl, amasl, kfl, ksl)
habopen: heiken-ashi better open
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habhigh(smthtype, amafl, amasl, kfl, ksl)
habhigh: heiken-ashi better high
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
hablow(smthtype, amafl, amasl, kfl, ksl)
hablow: heiken-ashi better low
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habmedian(smthtype, amafl, amasl, kfl, ksl)
habmedian: heiken-ashi better median
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtypical(smthtype, amafl, amasl, kfl, ksl)
habtypical: heiken-ashi better typical
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habweighted(smthtype, amafl, amasl, kfl, ksl)
habweighted: heiken-ashi better weighted
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habaverage(smthtype, amafl, amasl, kfl, ksl)
habaverage: heiken-ashi better average
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habavemedbody(smthtype, amafl, amasl, kfl, ksl)
habavemedbody: heiken-ashi better median body
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtrendb(smthtype, amafl, amasl, kfl, ksl)
habtrendb: heiken-ashi better trend
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
habtrendbext(smthtype, amafl, amasl, kfl, ksl)
habtrendbext: heiken-ashi better trend extreme
Parameters:
smthtype : string
amafl : int
amasl : int
kfl : int
ksl : int
Returns: float
Better Heiken-Ashi Candles w/ Expanded Source Types [Loxx]Better Heiken-Ashi Candles w/ Expanded Source Types is an indicator to compare regular candles to traditional Heiken-Ashi candles to "better" Heiken Ashi candles. This indicator and comparison study appears an oscillator. The purpose of this indicator is to demonstrate a better way to calculate HA candles and also to demonstrate expanded source types. This indicator is meant to be used by advanced Pine Coders who wish to add fine-tuning to their indicators and strategies.
What are Heiken Ashi "better" candles?
The "better formula" was proposed in an article/memo by BNP-Paribas (In Warrants & Zertifikate, No. 8, August 2004 (a monthly German magazine published by BNP Paribas, Frankfurt), there is an article by Sebastian Schmidt about further development (smoothing) of Heikin-Ashi chart.)
They proposed to use the following :
(Open+Close)/2+(((Close-Open)/(High-Low))*ABS((Close-Open)/2))
instead of using :
haClose = (O+H+L+C)/4
According to that document the HA representation using their proposed formula is better than the traditional formula.
What are traditional Heiken-Ashi candles?
The Heikin-Ashi technique averages price data to create a Japanese candlestick chart that filters out market noise.
Heikin-Ashi charts, developed by Munehisa Homma in the 1700s, share some characteristics with standard candlestick charts but differ based on the values used to create each candle. Instead of using the open, high, low, and close like standard candlestick charts, the Heikin-Ashi technique uses a modified formula based on two-period averages. This gives the chart a smoother appearance, making it easier to spots trends and reversals, but also obscures gaps and some price data.
What's going on with this indicator?
- First, we have the options to select the candlestick type: Regular, HA, HA Better
- Next, and to demonstrate the expanded source types, I've added a simple moving average. In the drop down for the SMA source you'll notice something very different from the typical TradingView source selector. Here's how to decode the new names for the sources:
Close = close
Open = open
High = high
Low = low
Median = hl2
Typical = hlc3
Weighted = hlcc4
Average = ohlc4
Average Median Body = (open+close)/2
Trend Biased = (see code, too complex to explain here)
Trend Biased (extreme) = (see code, too complex to explain here)
... for HA and HA better, see the same set up as above but with different open and close values to calcualate the other source types
- For the HA better calculations, we run the close value through either an Adaptive, Kaufman, or T3 smoothing filter. The length for these smoothing filters, either 2 or 3, can be found in the code and is a constant value that shouldn't be changed. This smoothing is in inline with what is described in the article mentioned above
- Lastly, I've placed an SMA over the oscillator so that the user can test out the various sources explained above
Included:
- Toggle on/off bar coloring
