How to find data of wma at the open position? - charts

I have this plot:
WMA_point = wma(close, 9)
plot(WMA_point, title='WMA', color=#000000)
It makes a line on the chart. When the price goes up, the line moves up, and vice versa, when the price goes down, it moves down.
I know that it depends on the "close" data.
I would like to find the price data of this wma when (close == open)
EDIT:
I mean: I want to get the first data of the close line wma(close, 9), when the new candle appears, when the (close == open) . I dont need the data of the open line wma(open, 9)

You can either use WMA_point[1], which is generally where the price value of the current bar will open at. If you want to take into consideration gapping, you'll need to calculate the wma using n-1 historical close values and with the nth value the current bar's open.
//#version=5
indicator("wma open", overlay = true)
len = input.int(10)
float wtd_close_sum = 0.0
int denom = 0
for i = 1 to len - 1
wt = len - i
wtd_close_sum += close[i] * wt
denom += wt
wtd_close_sum += open * len
denom += len
wma_open = wtd_close_sum / denom
plot(wma_open)
as a function :
f_wma_open(_open, _close, _len) =>
float _wtd_close_sum = 0.0
int _denom = 0
for i = 1 to _len - 1
_wt = _len - i
_wtd_close_sum += _close[i] * _wt
_denom += _wt
_wtd_close_sum += _open * _len
_denom += _len
_wma_open = _wtd_close_sum / _denom
_wma_open

Try using open as your source:
WMA_point = wma(open, 9)
plot(WMA_point, title='WMA', color=#000000)
Cheers, and best of luck with your trading and coding

So, you need to store the price in a var when your condition is true.
var float p = na
WMA_point = wma(close, 9)
if (open == close)
p := WMA_point // This will have the wma value of the last time open == close
plot(WMA_point, title='WMA', color=#000000)

Related

Code not plotting - Function should be called on each calculation for consistency. It is recommended to extract the call from this scope"

I am getting this as an orange error - not sure what I have done wrong or whether this error is the reason that the code doesn't plot. I am brand new to Pine-script and any assistance would be invaluable. Many thanks in advance Alastair
//#version=5
indicator("PCY TEST4")
//Get User Inputs
fast_length = input(title="Fast Length", defval=12)
slow_length = input(title="Slow Length", defval=26)
src = input(title="Source", defval=close)
signal_length = input.int(title="Signal Smoothing", minval = 1, maxval = 50, defval = 9)
sma_source = input.string(title="Oscillator MA Type", defval="EMA", options=["SMA", "EMA"])
sma_signal = input.string(title="Signal Line MA Type", defval="EMA", options=["SMA", "EMA"])
//Variables
a = 0.33
PCY = 0.0
PCYi = 0.0
// Calculating
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
minMacd=0.0
for i = 0 to (signal_length[1])
minMacd := ta.min(macd)
maxMacd=0.0
for i = 0 to (signal_length[1])
maxMacd := ta.max(macd)
//maxMacd = ta.min(macd)
//minMacd = ta.max(macd)
//signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
//hist = macd - signal
delta = maxMacd-(fast_ma - slow_ma)/(maxMacd -minMacd)
for i = 0 to (signal_length)
PCYi := a*((delta - PCYi[1])+PCYi[1])
PCYi
//Plotting
plot(PCYi)
I think it's because you're calculating the min/max in a for loop
Those functions should (not mandatory but strongly recommended) be calculated at every candle instead
for i = 0 to (signal_length[1])
minMacd := ta.min(macd)
maxMacd=0.0
for i = 0 to (signal_length[1])
maxMacd := ta.max(macd)
If you want to calculate the min/max over a X period of time, maybe use the ta.highest/ta.lowest functions instead :)
And of course, those 2 should be called at every candle (i.e. not in a if, for,... statement)

How to find the first value of Bollinger Bands when bar open

Actually, the Bollinger Bands code is:
//#version=4
study(title="AAAA", shorttitle="AAAA", overlay=true)
len = 5
multi = 2
bb5med = sma(close, len)
devBB5 = mult2 * stdev(close, len)
bb5top = bb5med + devBB5
bb5bot = bb5med - devBB5
I would want to find the first value of those 3 lines when the new bar comes, means, when close==open.
Also, I need it to work when I change the len to 20, 50 and/or when I change the multi to 3
Please help me. Thank you.
//#version=5
indicator("BB Open", overlay = true)
len = input.int(20)
mult = input.float(2.000)
basis = (math.sum(close, len - 1)[1] + open) / len
float dev_sum = 0.0
for i = 1 to len - 1
dev_sum += math.pow(basis - close[i], 2)
dev_sum += math.pow(basis - open, 2)
stdev = math.sqrt(dev_sum / len)
up = basis + stdev * mult
dn = basis - stdev * mult
plot(basis, color = color.yellow)
plot(up)
plot(dn)
Function :
f_BBopen(_close, _open, _len, _mult) =>
_basis = (math.sum(_close, _len - 1)[1] + _open) / _len
float _dev_sum = 0.0
for i = 1 to _len - 1
_dev_sum += math.pow(_basis - _close[i], 2)
_dev_sum += math.pow(_basis - _open, 2)
_stdev = math.sqrt(_dev_sum / _len)
_up = _basis + _stdev * _mult
_dn = _basis - _stdev * _mult
[_basis, _up, _dn]
[basis, up, dn] = f_BBopen(close, open, len, mult)

Find the first value of a plot line

I have the plot:
//#version=4
study(title="Line", shorttitle="Line", overlay=true)
theline(src, len) => wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))
Line = theline(close, 9)
plot(Line, title='Line', color=#0066ff, linewidth=3)
That line will move up or down depending on the close value.
How do I find the first value of that line, when the new bar appears, when the first close==open.
I need that value to compare, to see if the current line is above or under that first value.
Thank you for helping me.
The answer is the same principle as your last question, you have to refactor the wma equation in order to obtain the sum of the first n-1 values as normal and replace the nth value (current bar's value) calculated using open instead of close.
//#version=5
indicator("hull open", overlay = true)
len = input.int(9)
f_wma_open(_close, _open, _len) =>
float _wtd_sum = 0.0
int _denom = 0
for i = 1 to _len - 1
_wt = _len - i
_wtd_sum += _close[i] * _wt
_denom += _wt
_wtd_sum += _open * _len
_denom += _len
_wma_open = _wtd_sum / _denom
_wma_open
f_hull_open(_close, _open, _len) =>
_a = 2 * ta.wma(_close, _len / 2) - ta.wma(_close, _len)
_b = 2 * f_wma_open(_close, _open, _len / 2) - f_wma_open(_close, _open, _len)
_slen = math.round(math.sqrt(_len))
float _wtd_sum = 0.0
float _denom = 0.0
for i = 1 to _slen - 1
_wt = _slen - i
_wtd_sum += _a[i] * _wt
_denom += _wt
_wtd_sum += _b * _slen
_denom += _slen
_hull_open = _wtd_sum / _denom
_hull_open
f_hull(_src, _len) =>
ta.wma(2 * ta.wma(_src, _len / 2) - ta.wma(_src, _len), math.round(math.sqrt(_len)))
hull = f_hull(close, len)
hull_open = f_hull_open(close, open, len)
plot(hull, color = color.gray)
plot(hull_open, color = color.yellow)
You can use varip to freeze and hold real time values and update them conditionally. I wrote a custom function for you that will freeze the real time open value of the wma line. Please note this will only work in real time or for alerts. It will only freeze the open if you are watching the open live, and alerts will begin working on the first open after adding to the chart.
//#version=4
study(title="Line", shorttitle="Line", overlay=true)
theline(src, len) => wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))
openVal(src) =>
varip float lineOpen = na
if barstate.isnew
lineOpen := src
result = barstate.islastconfirmedhistory[1] or barstate.isconfirmed ? src : lineOpen
Line = theline(close, 5)
Line2 = openVal(Line)
plot(Line, title='Line', color=#0066ff, linewidth=4)
plot(Line2, title='Alt Line', color=color.white)
cheers and best of luck

Encoding - What is this function?

I'm porting and updating an old app and I came across this function. I'd like to know more about it, but I don't actually know what it's called. I'm assuming it has a popular name. Does anyone know?
This version is in Python, although it was originally in Java.
def encode(msg): # msg is a string
msg_len = len(msg)
j = (msg_len + 6) / 7
k = 0
cbytesOutput = [ctypes.c_byte(0)]*(msg_len + j) # return is msg length + j bytes long
for l in xrange(j):
i1 = l * 8
j1 = i1
byte0 = ctypes.c_byte(-128)
byte1 = ctypes.c_byte(1)
k1 = 0
while k1 < 7 and k < msg_len:
byte2 = ctypes.c_byte(ord(msg[k]))
if (byte2.value & 0xffffff80) != 0:
byte0 = ctypes.c_byte(byte0.value | byte1.value)
j1 += 1
cbytesOutput[j1] = ctypes.c_byte(byte2.value | 0xffffff80)
byte1 = ctypes.c_byte(byte1.value << 1)
k += 1
k1 += 1
cbytesOutput[i1] = byte0
return cbytesOutput
Any comments on the algorithm in general? I'm thinking of replacing it. Profiler says it's the worst function in the entire app (it's 60% of the time on the slowest code path) and it bloats the data as well.
Thanks

Calculate IRR (Internal Rate Return) and NPV programmatically in Objective-C

I am developing a financial app and require IRR (in-built functionality of Excel) calculation and found such great tutorials in C here and such answer in C# here.
I implemented code of the C language above, but it gives a perfect result when IRR is in positive. It is not returning a negative value when it should be. Whereas in Excel =IRR(values,guessrate) returns negative IRR as well for some values.
I have referred to code in above C# link too, and it seems that it follows good procedures and returns errors and also hope that it returns negative IRR too, the same as Excel. But I am not familiar with C#, so I am not able to implement the same code in Objective-C or C.
I am writing C code from the above link which I have implemented for helping you guys.
#define LOW_RATE 0.01
#define HIGH_RATE 0.5
#define MAX_ITERATION 1000
#define PRECISION_REQ 0.00000001
double computeIRR(double cf[], int numOfFlows)
{
int i = 0, j = 0;
double m = 0.0;
double old = 0.00;
double new = 0.00;
double oldguessRate = LOW_RATE;
double newguessRate = LOW_RATE;
double guessRate = LOW_RATE;
double lowGuessRate = LOW_RATE;
double highGuessRate = HIGH_RATE;
double npv = 0.0;
double denom = 0.0;
for (i=0; i<MAX_ITERATION; i++)
{
npv = 0.00;
for (j=0; j<numOfFlows; j++)
{
denom = pow((1 + guessRate),j);
npv = npv + (cf[j]/denom);
}
/* Stop checking once the required precision is achieved */
if ((npv > 0) && (npv < PRECISION_REQ))
break;
if (old == 0)
old = npv;
else
old = new;
new = npv;
if (i > 0)
{
if (old < new)
{
if (old < 0 && new < 0)
highGuessRate = newguessRate;
else
lowGuessRate = newguessRate;
}
else
{
if (old > 0 && new > 0)
lowGuessRate = newguessRate;
else
highGuessRate = newguessRate;
}
}
oldguessRate = guessRate;
guessRate = (lowGuessRate + highGuessRate) / 2;
newguessRate = guessRate;
}
return guessRate;
}
I have attached the result for some value which are different in Excel and the above C language code.
Values: Output of Excel: -33.5%
1 = -18.5, Output of C code: 0.010 or say (1.0%)
2 = -18.5,
3 = -18.5,
4 = -18.5,
5 = -18.5,
6 = 32.0
Guess rate: 0.1
Since low_rate and high_rate are both positive, you're not able to get a negative score. You have to change:
#define LOW_RATE 0.01
to, for example,
#define LOW_RATE -0.5