ChatGPT, BARD, Other AI Scripts Which Can't Be Used In ThinkOrSwim

[MerryDay]

90% of the members attempting chatGPT scripting; do not provide good detailed specifications.

Members know what end result that they want but lack the ability to tell chatGPT, the step-by-step logic required to code a script to achieve that end result.
This results in chatGPT providing poor code.

Here is a video on how to successfully have chatGPT create functional scripts.

The above video, explains the basics of providing good specifications to AI which results in better scripts.

 

[halcyonguy]

Getting error as below

Invalid statement: for at 26:5
Invalid statement: } at 32:5

# Open Interest Script

# Define the inputs
input symbol = "AAPL";
input expiration = 0;
input show_all_expirations = no;

# Determine the current date and time
def current_time = GetYYYYMMDD() * 10000 + GetTime() / 100;

# Get the option chain for the specified symbol and expiration date
def chain = OptionChain(symbol, expiration);

# Define the aggregation period
def aggregation_period = AggregationPeriod.DAY;

# Determine whether to use all expirations or just the specified one
def expirations = if show_all_expirations then GetExpirations(symbol) else expiration;

# Loop over each expiration date and display the open interest for each option
for exp in expirations do {
    # Get the options for the current expiration date
    def options = chain.GetOptions(exp, OptionClass.ALL);

    # Loop over each option and display the open interest
    for option in options do {
        # Get the open interest for the current option
        def oi = option.GetOpenInterest(aggregation_period);

        # Display the open interest in a label on the chart
        AddLabel(yes, "OI: " + oi, if current_time == option.GetExpirationDate() then Color.CYAN else Color.GRAY);
    }
}

Any other way who can help to modify this, do we need to check in discord?

on a given particular day I am looking for any indication or line where we have high open interest on puts and call options

when posting questions, start out by stating,
.. where you want to see something
.. what you want to see

when you have highlighted red regions of code, go to the online manual and look up the words
https://tlc.thinkorswim.com/center/reference/thinkScript/Functions/Look---Feel/Color

you will find that OptionChain( ) isn't a valid function.
you will find that chatgpt does poorly at conversions.
it makes up functions that don't exist in thinkscript.

it is just a program , created by humans, that is far from perfect. if it was perfect, they could change a lot to use it.


-------------------------

EDIT 3/2
some posts have been changed around in the thread.
post #1 now has the current version.
https://usethinkscript.com/threads/option-heatmap-and-oi-strikes.10664/

===============


this might be of interest. it plots rows, that represent OI for different strikes.
https://usethinkscript.com/threads/option-heatmap-and-oi-strikes.10664/page-4#post-94445
post67
i haven't read all the posts after this one to know if a newer version is available.

 

[MerryDay]

Any other way who can help to modify this, do we need to check in discord?

If your intention is to loop through all the options for a particular instrument, please be aware that it cannot be done.

The ThinkScript on the ToS platform enables you to analyze one single individual option.
Unfortunately, there is no provision to compare or analyze a group of options.

On a given particular day I am looking for any indication or line where we have high open interest on puts and call options

As the ToS platform does not provide the ability to scan options for custom criteria, it is not possible.
Read more for what is available using standard filters:
https://usethinkscript.com/threads/options-scan-hacker-in-thinkorswim.5114/page-3#post-82892

 

[Doc2b191]

Hello,

I'm looking to create a watchlist where tickers are added if they're out of the StandardErrorChannel and removed when they're within it. I have this code below and I wanted to run it by you guys to confirm that this is what I should be using. Thank you!

# Define the input parameters for the study
input length = 21;
input deviation = 2.0;

# Calculate the upper and lower bounds of the channel
def price = close;
def sdev = stdev(data = price, length = length);
def midLine = Average(price, length);
def upperLine = midLine + deviation * sdev;
def lowerLine = midLine - deviation * sdev;

# Check whether the current price is inside or outside the channel
def inChannel = high <= upperLine and low >= lowerLine;
def outOfChannel = (high > upperLine and close < upperLine) or (low < lowerLine and close > lowerLine);

# Add a custom watchlist column that displays the signal when the ticker is out of the channel
AddLabel(outOfChannel, "Out of Channel", Color.CYAN);

# Remove the ticker from the watchlist when it's back inside the channel
if inChannel {
    RemoveFromWatchlist();
}

 

[halcyonguy]

Hello,

I'm looking to create a watchlist where tickers are added if they're out of the StandardErrorChannel and removed when they're within it. I have this code below and I wanted to run it by you guys to confirm that this is what I should be using. Thank you!

# Define the input parameters for the study
input length = 21;
input deviation = 2.0;

# Calculate the upper and lower bounds of the channel
def price = close;
def sdev = stdev(data = price, length = length);
def midLine = Average(price, length);
def upperLine = midLine + deviation * sdev;
def lowerLine = midLine - deviation * sdev;

# Check whether the current price is inside or outside the channel
def inChannel = high <= upperLine and low >= lowerLine;
def outOfChannel = (high > upperLine and close < upperLine) or (low < lowerLine and close > lowerLine);

# Add a custom watchlist column that displays the signal when the ticker is out of the channel
AddLabel(outOfChannel, "Out of Channel", Color.CYAN);

# Remove the ticker from the watchlist when it's back inside the channel
if inChannel {
    RemoveFromWatchlist();
}

no. the last 4 lines are not thinkscript code

i think you want to modify this and save it as a scan study
.. change def outofchannel = .... to plot outofchannel = ....
.. disable the code lines after that line

then create a watchlist, that uses the scan study as a data source


====================

@Doc2b191 i edited my answer


i made a lower study for testing. i think it will work as a scan.

use this in a scan.
save the scan, as a watchlist.
go to watchlists and open it.

# scan_col_std_err_ch_00_lower

#chatgpt
#https://usethinkscript.com/threads/chatgpt.13822/page-2#post-120172
#Doc2b191
# #23

# I'm looking to create a watchlist where,
# tickers are added if they're out of the StandardErrorChannel
#  and removed when they're within it. 
# I have this code below and I wanted to run it by you guys to confirm that this is what I should be using. Thank you!


declare lower;

# Define the input parameters for the study
input length = 21;
input deviation = 2.0;

# Calculate the upper and lower bounds of the channel
def price = close;
def sdev = stdev(data = price, length = length);

def midLine = Average(price, length);
def upperLine = midLine + deviation * sdev;
def lowerLine = midLine - deviation * sdev;

# Check whether the current price is inside or outside the channel
def inChannel = high <= upperLine and low >= lowerLine;
#def outOfChannel = (high > upperLine and close < upperLine) or (low < lowerLine and close > lowerLine);
def outOfChannel = !inchannel;

plot z4 = outofchannel;


# Add a custom watchlist column that displays the signal when the ticker is out of the channel
#AddLabel(outOfChannel, "Out of Ch", Color.CYAN);

#AddLabel(1,
#if outOfChannel then "Out of Ch" else "-",
#if outOfChannel then Color.CYAN else color.gray);


# Remove the ticker from the watchlist when it's back inside the channel
#if inChannel {
#    RemoveFromWatchlist();
#}
#

---------------

made an upper for testing

# scan_col_std_err_ch_00_upper


# scan_col_std_err_ch_00_lower

#chatgpt
#https://usethinkscript.com/threads/chatgpt.13822/page-2#post-120172
#Doc2b191
# #23

# I'm looking to create a watchlist where,
# tickers are added if they're out of the StandardErrorChannel
#  and removed when they're within it. 
# I have this code below and I wanted to run it by you guys to confirm that this is what I should be using. Thank you!

#declare lower;

# Define the input parameters for the study
input length = 21;
input deviation = 2.0;

# Calculate the upper and lower bounds of the channel
def price = close;
def sdev = stdev(data = price, length = length);

def midLine = Average(price, length);
def upperLine = midLine + deviation * sdev;
def lowerLine = midLine - deviation * sdev;

plot z1 = upperline;
plot z2 = midline;
plot z3 = lowerline;

#plot z4 = outofchannel;

# Check whether the current price is inside or outside the channel
def inChannel = high <= upperLine and low >= lowerLine;
#def outOfChannel = (high > upperLine and close < upperLine) or (low < lowerLine and close > lowerLine);
def outOfChannel = !inchannel;



# Add a custom watchlist column that displays the signal when the ticker is out of the channel
#AddLabel(outOfChannel, "Out of Ch", Color.CYAN);
AddLabel(1,
if outOfChannel then "Out of Ch" else "-",
if outOfChannel then Color.CYAN else color.gray);


# Remove the ticker from the watchlist when it's back inside the channel
#if inChannel {
#    RemoveFromWatchlist();
#}

#

upper, lower, column

--------------


made a column study

# zerrdev
#

# scan_col_std_err_ch_00_lower

#chatgpt
#https://usethinkscript.com/threads/chatgpt.13822/page-2#post-120172
#Doc2b191
# #23

# I'm looking to create a watchlist where,
# tickers are added if they're out of the StandardErrorChannel
#  and removed when they're within it. 
# I have this code below and I wanted to run it by you guys to confirm that this is what I should be using. Thank you!

#declare lower;

# Define the input parameters for the study
input length = 21;
input deviation = 2.0;

# Calculate the upper and lower bounds of the channel
def price = close;
def sdev = stdev(data = price, length = length);

def midLine = Average(price, length);
def upperLine = midLine + deviation * sdev;
def lowerLine = midLine - deviation * sdev;

# Check whether the current price is inside or outside the channel
def inChannel = high <= upperLine and low >= lowerLine;
#def outOfChannel = (high > upperLine and close < upperLine) or (low < lowerLine and close > lowerLine);
def outOfChannel = !inchannel;



# Add a custom watchlist column that displays the signal when the ticker is out of the channel
#AddLabel(outOfChannel, "Out of Ch", Color.CYAN);
AddLabel(1,
if outOfChannel then "Out of Ch" else "-",
color.black);
#if outOfChannel then Color.CYAN else color.gray);


assignbackgroundcolor( if outOfChannel then Color.CYAN else color.gray);


# Remove the ticker from the watchlist when it's back inside the channel
#if inChannel {
#    RemoveFromWatchlist();
#}
#

 

[MerryDay]

@halcyonguy
I hereby bestow upon you the title of the forum's in-house expert in ChatGPT.
While the title may be questionable, your contributions to this thread greatly assist ChatGPT users in finding the correct path.

 

[halcyonguy]

@halcyonguy
I hereby bestow upon you the title of the forum's in-house expert in ChatGPT.
While the title may be questionable, your contributions to this thread greatly assist ChatGPT users in finding the correct path.

oh my... thanks ? heh

at first , i was against chatgpt. but if someone takes the time to go to a site ( even that one) and search a little and copy/paste some code with questions, i guess it's worth looking at and trying to answer. that is a little better than someone asking for a study to be made with no code.
my secret goal is to show that it is usually wrong and a long way from replacing someone studying and learning a topic.

 

[METAL]

So I have been experimenting with @Christopher84 Ehlers Distant Coefficient. I wanted to create a dual Ehlers with slow and fast and use the fast to exit trades while using the slow to buy/sell trades. I gave the info to Chat GPT and this is what it spit out. For some reason it also provided buy and sell exits for the slow line which you can jus turn off. I will try to remove them. This actually seems to be a pretty sound strategy. Take a look at it and let me know what your thought are.

# Ehler's Distant Coefficient Filter Strategy with Fast and Slow Lines
# Created by Christopher84 05/17/2022
# Updated by ChatGPT 02/19/2023

input fastLength = 10;
input slowLength = 34;
input coloredCandlesOn = yes;

def price = (high + low) / 2;

# Fast Line
def fastCoeff = fastLength * price * price - 2 * price * sum(price, fastLength)[1] + sum(price * price, fastLength)[1];
plot fastEhlers = sum(fastCoeff * price, fastLength) / sum(fastCoeff, fastLength);
fastEhlers.SetDefaultColor(GetColor(2));

# Slow Line
def slowCoeff = slowLength * price * price - 2 * price * sum(price, slowLength)[1] + sum(price * price, slowLength)[1];
plot slowEhlers = sum(slowCoeff * price, slowLength) / sum(slowCoeff, slowLength);
slowEhlers.SetDefaultColor(GetColor(1));

# Buy and Sell Conditions
def buyCond = close > slowEhlers and close > fastEhlers;
def sellCond = close < slowEhlers and close < fastEhlers;

# Buy and Sell Orders on Slow Line
AddOrder(OrderType.BUY_TO_OPEN, condition = buyCond, price = open[-1], tickcolor = GetColor(1), arrowcolor = Color.GREEN, name = "LE");
AddOrder(OrderType.SELL_TO_CLOSE, condition = buyCond, price = open[-1], tickcolor = GetColor(1), arrowcolor = Color.GREEN, name = "LX");
AddOrder(OrderType.SELL_TO_OPEN, condition = sellCond, price = open[-1], tickcolor = GetColor(2), arrowcolor = Color.RED, name = "SE");
AddOrder(OrderType.BUY_TO_CLOSE, condition = sellCond, price = open[-1], tickcolor = GetColor(2), arrowcolor = Color.RED, name = "SX");

# Buy and Sell Exit Conditions on Fast Line
def buyExitCond = close < fastEhlers;
def sellExitCond = close > fastEhlers;
AddOrder(OrderType.SELL_TO_CLOSE, condition = buyExitCond, price = open[-1], tickcolor = GetColor(1), arrowcolor = Color.MAGENTA, name = "FLX");
AddOrder(OrderType.BUY_TO_CLOSE, condition = sellExitCond, price = open[-1], tickcolor = GetColor(2), arrowcolor = Color.MAGENTA, name = "FSX");

# Coloring Candles based on Long or Short
def long = buyCond;
def short = sellCond;
AssignPriceColor(if coloredCandlesOn and long then Color.GREEN else if coloredCandlesOn and short then Color.RED else Color.GRAY);

 

[BiggySmall]

Sorry guys, I definitely did not think this question through nor explain it clearly.

I used chatgpt to for seasonality to calculate average of each day of the week, but have some error in the array. Can anyone take a look and let me know how to correct them? Thank you!

# Daily Seasonality Averages
# Calculate the average of each day of the week over a specified period

input length = 252; # lookback period in trading days
input showLabels = yes; # toggle on/off day labels on the chart

# define the number of trading days in a week
def daysPerWeek = 5;

# define an array to hold the closing price for each day of the week
def dayClose = array.new_float(daysPerWeek, 0);

# loop through the data and populate the dayClose array
for i = 0 to length - 1 {
    # get the day of the week for the current bar
    def dayOfWeek = getDayOfWeek(GetYYYYMMDD());

    # get the closing price for the current bar
    def closePrice = close[i];

    # add the closing price to the appropriate element in the dayClose array
    array.set(dayClose, dayOfWeek - 1, array.get(dayClose, dayOfWeek - 1) + closePrice);
}

# calculate the average closing price for each day of the week
def avgClose = array.new_float(daysPerWeek, 0);
for i = 0 to daysPerWeek - 1 {
    array.set(avgClose, i, array.get(dayClose, i) / (length / daysPerWeek));
}

# plot the average closing price for each day of the week
plot Monday = if showLabels then array.get(avgClose, 0) else double.nan;
plot Tuesday = if showLabels then array.get(avgClose, 1) else double.nan;
plot Wednesday = if showLabels then array.get(avgClose, 2) else double.nan;
plot Thursday = if showLabels then array.get(avgClose, 3) else double.nan;
plot Friday = if showLabels then array.get(avgClose, 4) else double.nan;

Monday.SetDefaultColor(Color.CYAN);
Tuesday.SetDefaultColor(Color.MAGENTA);
Wednesday.SetDefaultColor(Color.YELLOW);
Thursday.SetDefaultColor(Color.GREEN);
Friday.SetDefaultColor(Color.RED);

 

[halcyonguy]

I used chatgpt to for seasonality to calculate average of each day of the week, but have some error in the array. Can anyone take a look and let me know how to correct them? Thank you!

# Daily Seasonality Averages
# Calculate the average of each day of the week over a specified period

input length = 252; # lookback period in trading days
input showLabels = yes; # toggle on/off day labels on the chart

# define the number of trading days in a week
def daysPerWeek = 5;

# define an array to hold the closing price for each day of the week
def dayClose = array.new_float(daysPerWeek, 0);

# loop through the data and populate the dayClose array
for i = 0 to length - 1 {
    # get the day of the week for the current bar
    def dayOfWeek = getDayOfWeek(GetYYYYMMDD());

    # get the closing price for the current bar
    def closePrice = close[i];

    # add the closing price to the appropriate element in the dayClose array
    array.set(dayClose, dayOfWeek - 1, array.get(dayClose, dayOfWeek - 1) + closePrice);
}

# calculate the average closing price for each day of the week
def avgClose = array.new_float(daysPerWeek, 0);
for i = 0 to daysPerWeek - 1 {
    array.set(avgClose, i, array.get(dayClose, i) / (length / daysPerWeek));
}

# plot the average closing price for each day of the week
plot Monday = if showLabels then array.get(avgClose, 0) else double.nan;
plot Tuesday = if showLabels then array.get(avgClose, 1) else double.nan;
plot Wednesday = if showLabels then array.get(avgClose, 2) else double.nan;
plot Thursday = if showLabels then array.get(avgClose, 3) else double.nan;
plot Friday = if showLabels then array.get(avgClose, 4) else double.nan;

Monday.SetDefaultColor(Color.CYAN);
Tuesday.SetDefaultColor(Color.MAGENTA);
Wednesday.SetDefaultColor(Color.YELLOW);
Thursday.SetDefaultColor(Color.GREEN);
Friday.SetDefaultColor(Color.RED);

people, if you are going to post this chat stuff, please post the words that you entered into it , to give others a clue of what it is supposed to be. also i'm curious how well it coverts from a description, and how well you described the problem.


short answer, thinkscript doesn't have array functions,
so we need a very good description of what you are trying to do, in order to 'fix' (completely rewrite) this

that thing generated mostly pine code, not thinkscript. so the code is worthless.


-------------------------------------


i started to look at this........ but i have no idea what you want


1. read the close from many candles during a day, and find an average of them ?

2. look at the last five days, read the close of the day, and calculate an average from those 5 ?


what time frame will the chart be set to , day ?

------------------------

the following comments are just that. questions from what i come across. there is no emotion in my words, so don't add any. i am just trying to get you to describe the problem better.


these words were a big red flag, that your post would probably be confusing... and it was

...chatgpt to for seasonality...

if you can't compose a sentence, how is anyone going to help you?

seasonality ?? adding words that have no meaning, adds confusion.


--------------------------------
--------------------------------



EDIT
@BiggySmall

this version needs after hours turned on

i took a guess and made this , a study that finds the average each day, of all the closes on that day

# chat_daily_seasonality_array_fix_00

#------------------------------
# each day,
#   read the close price from all the bars during normal hours, and calc an average for past x days,
#     plot a line at the avg
#     display bubbles with the day average
#------------------------------

#https://usethinkscript.com/threads/chatgpt.13822/page-2#post-120235
#post29    BiggySmall   2/19
#I used chatgpt to for seasonality to calculate average of each day of the week, but have some error in the array. Can anyone take a look and let me know how to correct them? Thank you!
#--------------------------

def na = double.nan;
def bn = barnumber();

# -----------------------------------
# day count
def istoday = if GetLastDay() == GetDay() then 1 else 0;
def newday = if getday() != getday()[1] then 1 else 0;
def daycnt = if bn == 1 then 1 else if (!isnan(close) and newday) then daycnt[1] + 1 else daycnt[1];
def maxdays = highestall(daycnt);
def revdaycnt = maxdays - daycnt + 1;
input days_to_display = 5;
def daystoomany = if days_to_display < 1 or days_to_display > maxdays then 1 else 0;
addlabel(daystoomany, " ONLY " + MAXDAYS + " DAYS ON CHART. enter a different number for days back", color.cyan);
#----------------------

#----------------------
# https://usethinkscript.com/threads/finding-the-first-and-last-bar-of-the-day-in-thinkorswim.526/
# find last bar of day
# korygill
#def nan = Double.NaN;
def isRollover = GetYYYYMMDD() != GetYYYYMMDD()[1];
def beforeStart = GetTime() < RegularTradingStart(GetYYYYMMDD());
def afterEnd = GetTime() > RegularTradingEnd(GetYYYYMMDD());
def firstBarOfDay = if (beforeStart[1] == 1 and beforeStart == 0) or (isRollover and beforeStart == 0) then 1 else 0;
def lastBarOfDay = if
    (afterEnd[-1] == 1 and afterEnd == 0) or
    (isRollover[-1] and firstBarOfDay[-1])
    then 1
    else 0;

def rth = (GetTime() >= RegularTradingStart(GetYYYYMMDD()) and GetTime() < RegularTradingEnd(GetYYYYMMDD()) );
def ah = beforeStart or afterEnd;

#----------------------

# if first bar of day,
#  read all bars of day, during RTH, calc an avg of close prices
#    add up all, div by the qty of bars

def big = 99999;
def barz;
def davg2;
def lowz;
if (bn == 1 and !firstBarOfDay) or ah then {
barz = 1;
davg2 = 0;
lowz = 0;
} else if firstBarOfDay then {

# cnt bars during each day
barz = fold j = 0 to 500
 with q
 while !isnan(getvalue(close, -j)) and getvalue(rth, -j) == 1
# while !isnan(getvalue(close, -j)) and getvalue(lastBarOfDay, -j) == 0
 do q + 1;

# calc an average
davg2 = (fold i = 0 to 500
 with p
 while !isnan(getvalue(close, -i)) and getvalue(rth, -i) == 1
 do (p + getvalue(close, -i))) / barz;

# find low of day
lowz = fold k = 0 to 500
 with r = big
# while !isnan(getvalue(close, -k)) and getvalue(rth, -k) == 1
 while !isnan(getvalue(close, -k)) and getvalue(lastBarOfDay, -k) == 0
 do min(r, getvalue(low, -k));

} else {
barz = barz[1];
davg2 = davg2[1];
lowz = lowz[1];
}

def dayz = (revdaycnt <= days_to_display and !isnan(close));
def davg = round(davg2,2);

# plot daily avg line
plot zdavg = if dayz and rth then davg else na;
zdavg.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
zdavg.SetDefaultColor(Color.light_gray);
#x.setlineweight(1);
zdavg.hidebubble();


input show_avg_bubble = yes;
AddChartBubble(show_avg_bubble and dayz and firstBarOfDay,
# low*0.995,
 lowz,
 "day avg\n" +
 davg
# + "\n" +
# barz
, Color.yellow, no);

# Identify first bar of day and last bar of day on chart
input show_first_last_bubbles = no;
AddChartBubble(show_first_last_bubbles and firstBarOfDay, high,
  "First"
, Color.GREEN, yes);

AddChartBubble(show_first_last_bubbles and lastBarOfDay, low,
  "Last"
, Color.magenta, no);

#---------------------------------
# test stuff


input test2_rth_lines = no;
plot ahlines = if test2_rth_lines and ah then low*0.99 else na;
plot rthlines = if test2_rth_lines and rth then high*1.003 else na;


input test1 = no;
addchartbubble(test1, low,
newday + " new\n" +
daycnt + " cnt\n" +
revdaycnt + " rev\n" +
maxdays + " max\n"
, color.yellow, no);
#------------------------------------------

input test_show_revdaycnt = no;
addchartbubble( test_show_revdaycnt, low,
revdaycnt
, color.yellow, no);

#

 

[crscrs85]

This is what i got but it wont accept GetEventCount

# Define length of pre-market average
input length = 5;

# Define start and end time for pre-market volume
def start_time = 0400;
def end_time = 0930;

# Calculate pre-market volume and average
def preMarketVolume = if SecondsTillTime(start_time) >= 0 and SecondsTillTime(end_time) > 0 then volume(period = AggregationPeriod.DAY)[1] else double.NaN;
def preMarketAvgVolume = Average(if SecondsTillTime(start_time) >= 0 and SecondsTillTime(end_time) > 0 then volume(period = AggregationPeriod.DAY)[1] else double.NaN, length);

# Determine if pre-market volume is twice as much as the average
def twiceAvgVolume = preMarketVolume >= 2 * preMarketAvgVolume;

# Determine if there is breaking news
def breakingnews = GetEventCount() > 0;


# Create a scan for stocks with pre-market volume twice the 5 day pre-market average
plot signal = twiceAvgVolume and Breakingnews;

 

[MerryDay]

This is what i got but it wont accept GetEventCount

# Define length of pre-market average
input length = 5;

# Define start and end time for pre-market volume
def start_time = 0400;
def end_time = 0930;

# Calculate pre-market volume and average
def preMarketVolume = if SecondsTillTime(start_time) >= 0 and SecondsTillTime(end_time) > 0 then volume(period = AggregationPeriod.DAY)[1] else double.NaN;
def preMarketAvgVolume = Average(if SecondsTillTime(start_time) >= 0 and SecondsTillTime(end_time) > 0 then volume(period = AggregationPeriod.DAY)[1] else double.NaN, length);

# Determine if pre-market volume is twice as much as the average
def twiceAvgVolume = preMarketVolume >= 2 * preMarketAvgVolume;

# Determine if there is breaking news
def breakingnews = GetEventCount() > 0;


# Create a scan for stocks with pre-market volume twice the 5 day pre-market average
plot signal = twiceAvgVolume and Breakingnews;

there is no:

GetEventCount()

The study that you are looking to create cannot be done within the ToS.
The ToS platform does not provide the ability to access news feeds, so we can not write scripts that act on news.

 

[sunil]

when posting questions, start out by stating,
.. where you want to see something
.. what you want to see

when you have highlighted red regions of code, go to the online manual and look up the words
https://tlc.thinkorswim.com/center/reference/thinkScript/Functions/Look---Feel/Color

you will find that OptionChain( ) isn't a valid function.
you will find that chatgpt does poorly at conversions.
it makes up functions that don't exist in thinkscript.

it is just a program , created by humans, that is far from perfect. if it was perfect, they could change a lot to use it.


-------------------------

this might be of interest. it plots rows, that represent OI for different strikes.
https://usethinkscript.com/threads/option-heatmap-and-oi-strikes.10664/page-4#post-94445
post67
i haven't read all the posts after this one to know if a newer version is available.

Thanks for the information it has been helped to check another script which was created by Sudoshu.

 

[tinfox]

This works quite well on the 5min /m2k and whatnot. Its pine scirpt
https://www.tradingview.com/script/K6YXCogW-RSI-true-swings/
https://usethinkscript.com/threads/convert-tradingview-rsi-true-swings-indicator.14590/
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Using chatgpt got this failed attempt:


#RSI true swings indicator declare lower; input upthresh = 60; input lwthresh = 40; #volume criteria checkup def volcheck = volume > SimpleMovingAvg(volume, 20); def my_rsi = RSI(close, 14); #Candle size must be above average def bullbar_check = close > high[1] and (high - low) > SimpleMovingAvg(high - low, 20) and (close - low) > (high - close) and low <= high[1]; def bearbar_check = close < low[1] and (high - low) > SimpleMovingAvg(high - low, 20) and (high - close) > (close - low) and high >= low[1]; #RSI crossover/crossunder must fulfilling following criteria def rsicrossover = Crosses(my_rsi, lwthresh) > 0 and volcheck and bullbar_check and volume > volume[1] and close > high[1] and open < close and close > high[2] and my_rsi[1] > lwthresh - 10; def rsicrossunder = Crosses(my_rsi, upthresh) < 0 and volcheck and close < low[1] and bearbar_check and volume > volume[1] and open > close and close < low[2] and my_rsi[1] < upthresh + 10; #Plotting the signal confirming plotshape(rsicrossover, title="Short exit or Buy Entry", style=shape.labelup, location=LabelLocation.BELOW_BAR, color=color.green, size=size.tiny, text="BUY", textcolor=color.white); plotshape(rsicrossunder, title="Bull exit or Short entry", style=shape.labeldown, location=LabelLocation.ABOVE_BAR, color=color.red, size=size.tiny, text="SELL", textcolor=color.white); def rec_high = Highest(high, 5); def rec_low = Lowest(low, 5); if rsicrossover { Alert(str.format("{0}: Exit SELL or BUY now\n Stoploss below {1}\n CMP {2}", GetSymbolName(), rec_low, close), Alert.freq_once_per_bar_close); } if rsicrossunder { Alert(str.format("{0}: Exit BUY or SELL now\n Stoploss above {1}\n CMP {2}", GetSymbolName(), rec_high, close), Alert.freq_once_per_bar_close); }

 

[Thinker]

This works quite well on the 5min /m2k and whatnot. Its pine scirpt
https://www.tradingview.com/script/K6YXCogW-RSI-true-swings/

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © tradeswithashish
//@version=5
indicator(title="RSI true swings indicator", shorttitle="RSI True swings", overlay=true)
upthresh=input.int(title="RSI Upper threshhold", defval=60, minval=50, step=5, maxval=90)
lwthresh=input.int(title="RSI Lower threshhold", defval=40, minval=10, step=5, maxval=50)
//volume criteria checkup
volcheck=volume>ta.sma(volume, 20)
my_rsi=ta.rsi(close, 14)
//Candle size must be above average
bullbar_check= close>high[1] and (high-low)>ta.sma(high-low, 20) and (close-low)>(high-close) and low<=high[1]
bearbar_check= close<low[1] and (high-low)>ta.sma(high-low, 20) and (high-close)>(close-low) and high>=low[1]
//RSI crossover/crossunder must fulfilling following criteria
rsicrossover=ta.crossover(my_rsi, lwthresh) and volcheck and bullbar_check and volume>volume[1] and close>high[1] and open<close and close>high[2] and my_rsi[1]>lwthresh-10
rsicrossunder=ta.crossunder(my_rsi, upthresh) and volcheck and close<low[1] and bearbar_check and volume>volume[1] and open>close and close<low[2] and my_rsi[1]<upthresh+10

//Plotting the signal confirming
plotshape(rsicrossover, title="Short exit or Buy Entry", style= shape.labelup, location=location.belowbar, color=color.green, size=size.tiny, text="BUY", textcolor=color.white)
plotshape(rsicrossunder, title="Bull exit or Short entry", style= shape.labeldown, location=location.abovebar, color=color.red, size=size.tiny, text="SELL", textcolor=color.white)
rec_high=ta.highest(high,5)
rec_low=ta.lowest(low, 5)
if rsicrossover
alert(str.tostring(syminfo.ticker)+": Exit SELL or BUY now"+"\n Stoploss below " + str.tostring(rec_low) + "\n CMP "+ str.tostring(close), alert.freq_once_per_bar_close)
if rsicrossunder
alert(str.tostring(syminfo.ticker)+": Exit BUY or SELL now \n Stoploss above"+ str.tostring(rec_high) + "\n CMP "+ str.tostring(close), alert.freq_once_per_bar_close)




------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Using chatgpt got this:


#RSI true swings indicator declare lower; input upthresh = 60; input lwthresh = 40; #volume criteria checkup def volcheck = volume > SimpleMovingAvg(volume, 20); def my_rsi = RSI(close, 14); #Candle size must be above average def bullbar_check = close > high[1] and (high - low) > SimpleMovingAvg(high - low, 20) and (close - low) > (high - close) and low <= high[1]; def bearbar_check = close < low[1] and (high - low) > SimpleMovingAvg(high - low, 20) and (high - close) > (close - low) and high >= low[1]; #RSI crossover/crossunder must fulfilling following criteria def rsicrossover = Crosses(my_rsi, lwthresh) > 0 and volcheck and bullbar_check and volume > volume[1] and close > high[1] and open < close and close > high[2] and my_rsi[1] > lwthresh - 10; def rsicrossunder = Crosses(my_rsi, upthresh) < 0 and volcheck and close < low[1] and bearbar_check and volume > volume[1] and open > close and close < low[2] and my_rsi[1] < upthresh + 10; #Plotting the signal confirming plotshape(rsicrossover, title="Short exit or Buy Entry", style=shape.labelup, location=LabelLocation.BELOW_BAR, color=color.green, size=size.tiny, text="BUY", textcolor=color.white); plotshape(rsicrossunder, title="Bull exit or Short entry", style=shape.labeldown, location=LabelLocation.ABOVE_BAR, color=color.red, size=size.tiny, text="SELL", textcolor=color.white); def rec_high = Highest(high, 5); def rec_low = Lowest(low, 5); if rsicrossover { Alert(str.format("{0}: Exit SELL or BUY now\n Stoploss below {1}\n CMP {2}", GetSymbolName(), rec_low, close), Alert.freq_once_per_bar_close); } if rsicrossunder { Alert(str.format("{0}: Exit BUY or SELL now\n Stoploss above {1}\n CMP {2}", GetSymbolName(), rec_high, close), Alert.freq_once_per_bar_close); }

From "if rsicrossunder {" on, TOS doesn't accept the code.

 

[MerryDay]

From "if rsicrossunder {" on, TOS doesn't accept the code.

chatGPT does not provide scripts that are useable.
Read more: https://usethinkscript.com/threads/chatgpt.13822/#post-115063

 

[halcyonguy]

This works quite well on the 5min /m2k and whatnot. Its pine scirpt
https://www.tradingview.com/script/K6YXCogW-RSI-true-swings/

@Thinker

converted here
https://usethinkscript.com/threads/convert-tradingview-rsi-true-swings-indicator.14590/

the pine code was short enough, that i just started from scratch, converting the pine, line by line.
i don't trust chatgpt code to start with it.

 

[Bladeof300]

I keep getting error messages when I try to translate this code from PineScript.
https://www.tradingview.com/script/27DO5DG7-Range-Identifier/

I'll provide both scripts below, but can someone explain my mistake to me?

MY ATTEMPT

# Range Identifier
# This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
# © Mango2Juice

declare lower;

# Inputs
input i_maSource = close;
input i_maType = MovingAverageType.WMA;
input i_maLen1 = 3;
input i_maLen2 = 24;
input i_atrLen1 = 3;
input i_atrLen2 = 24;
input i_treshold = no;
input i_custom = 0.1;
input i_showBG = yes;

# Moving Averages
def ma(MovingAverageType type, input src, int len) {
    def result = 0.0;
    if (type == MovingAverageType.SIMPLE) { # Simple
        result = SimpleMovingAvg(src, len);
    } else if (type == MovingAverageType.EXPONENTIAL) { # Exponential
        result = ExpAverage(src, len);
    } else if (type == MovingAverageType.DOUBLE_EXPONENTIAL) { # Double Exponential
        def e = ExpAverage(src, len);
        result = 2 * e - ExpAverage(e, len);
    } else if (type == MovingAverageType.TRIPLE_EXPONENTIAL) { # Triple Exponential
        def e = ExpAverage(src, len);
        result = 3 * (e - ExpAverage(e, len)) + ExpAverage(ExpAverage(e, len), len);
    } else if (type == MovingAverageType.WEIGHTED) { # Weighted
        result = WeightedMovingAvg(src, len);
    } else if (type == MovingAverageType.VOLUME_WEIGHTED) { # Volume Weighted
        result = VolumeWeightedMovingAvg(src, len);
    } else if (type == MovingAverageType.SMMA) { # Smoothed
        def w = WeightedMovingAvg(src, len);
        result = if IsNaN(w[1]) then SimpleMovingAvg(src, len) else (w[1] * (len - 1) + src) / len;
    } else if (type == MovingAverageType.HULL) { # Hull
        result = WeightedMovingAvg(2 * WeightedMovingAvg(src, len / 2) - WeightedMovingAvg(src, len), Round(Sqrt(len)));
    } else if (type == MovingAverageType.LEAST_SQUARES) { # Least Squares
        result = Inertia(src, len, 0);
    } else if (type == MovingAverageType.KIJUN) { # Kijun-sen
        def kijun = (Lowest(len) + Highest(len)) / 2;
        result = kijun;
    } else if (type == MovingAverageType.MCGINLEY) {
        def mg = if IsNaN(mg[1]) then ExpAverage(src, len) else mg[1] + (src - mg[1]) / (len * Pow(src / mg[1], 4));
        result = mg;
    }
    result;
}

# Auto Set Treshold
def treshold;
switch (GetAggregationPeriod()) {
    case AggregationPeriod.MONTH:
    case AggregationPeriod.WEEK:
        treshold = 0.5;
    case AggregationPeriod.DAY:
        treshold = 0.4;
    case AggregationPeriod.HOUR:
        treshold = 0.14;
    case AggregationPeriod.MINUTE:
        treshold = 0.08;

PINESCRIPT CODE BELOW

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © Mango2Juice

//@version=4
study("Range Identifier")

// Inputs
i_maSource = input(close, "Source", input.source)
i_maType   = input("WMA", "MA Type", input.string, options = ["EMA", "DEMA", "TEMA", "WMA", "VWMA", "SMA", "SMMA", "HMA", "LSMA", "Kijun", "McGinley"])
i_maLen1   = input(3, "MA Fast Length", input.integer)
i_maLen2   = input(24, "MA Slow Length", input.integer)
i_atrLen1  = input(3, "ATR Period 1", input.integer)
i_atrLen2  = input(24, "ATR Period 2", input.integer)
i_treshold = input(false, "Custom Treshold ? Default is Auto.", input.bool)
i_custom   = input(0.1, "Custom Treshold", input.float, minval = 0.001)
i_showBG   = input(true,"Show Background Color?")

// Moving Averages
ma(type, src, len) =>
    float result = 0
    if type=="SMA" // Simple
        result := sma(src, len)
    if type=="EMA" // Exponential
        result := ema(src, len)
    if type=="DEMA" // Double Exponential
        e = ema(src, len)
        result := 2 * e - ema(e, len)
    if type=="TEMA" // Triple Exponential
        e = ema(src, len)
        result := 3 * (e - ema(e, len)) + ema(ema(e, len), len)
    if type=="WMA" // Weighted
        result := wma(src, len)
    if type=="VWMA" // Volume Weighted
        result := vwma(src, len)
    if type=="SMMA" // Smoothed
        w = wma(src, len)
        result := na(w[1]) ? sma(src, len) : (w[1] * (len - 1) + src) / len
    if type == "RMA"
        result := rma(src, len)
    if type=="HMA" // Hull
        result := wma(2 * wma(src, len / 2) - wma(src, len), round(sqrt(len)))
    if type=="LSMA" // Least Squares
        result := linreg(src, len, 0)
    if type=="Kijun" //Kijun-sen
        kijun = avg(lowest(len), highest(len))
        result :=kijun
    if type=="McGinley"
        mg = 0.0
        mg := na(mg[1]) ? ema(src, len) : mg[1] + (src - mg[1]) / (len * pow(src/mg[1], 4))
        result :=mg
    result

// Auto Set Treshold
float treshold = na
if timeframe.period == "M" or timeframe.period == "W"
    treshold := 0.5
else
    if timeframe.period == "D"
        treshold := 0.4
    else
        if timeframe.period == "240"
            treshold := 0.14
        else
            if timeframe.period == "60"
                treshold := 0.08
            else
                if timeframe.period == "30"
                    treshold := 0.05
                else
                    if timeframe.period == "15"
                        treshold := 0.04
                    else
                        if timeframe.period == "5"
                            treshold := 0.02
                        else
                            if timeframe.period == "1"
                                treshold := 0.01

ma1   = 100 * (ma(i_maType, i_maSource, i_maLen1) - ma(i_maType, i_maSource, i_maLen2)) * atr(i_atrLen1) + 0.00001
ma2   = ma1 / ma(i_maType, i_maSource, i_maLen2) / atr(i_atrLen2)
range = (exp(2.0*ma2) - 1.0) / (exp(2.0 * ma2) + 1.0)

// Plots
c_range      = range >= (i_treshold ? i_custom : treshold) ? color.lime : range <= -(i_treshold ? i_custom : treshold) ? color.red : color.gray
c_background = range >= (i_treshold ? i_custom : treshold) ? color.lime : range <= -(i_treshold ? i_custom : treshold) ? color.red : color.gray

plot(range, "Range", c_range, 4, plot.style_line)
plot((i_treshold ? i_custom : treshold), "Upper Treshold", color.gray, 1, plot.style_circles)
plot(-(i_treshold ? i_custom : treshold), "Lower Treshold", color.gray, 1, plot.style_circles)
bgcolor(i_showBG ? c_background : na)

 

[kelvin]

https://www.tradingview.com/script/LgjsidVh-ATR-Stop-Loss-Finder/

Original Pine Script as below:

/@version=4
study(title="Average True Range Stop Loss Finder", shorttitle="ATR", overlay=true)
length = input(title="Length", defval=14, minval=1)
smoothing = input(title="Smoothing", defval="RMA", options=["RMA", "SMA", "EMA", "WMA"])
m = input(1.5, "Multiplier")
src1 = input(high)
src2 = input(low)
pline = input(true, "Show Price Lines")
col1 = input(color.blue, "ATR Text Color")
col2 = input(color.teal, "Low Text Color",inline ="1")
col3 = input(color.red, "High Text Color",inline ="2")
collong = input(color.teal, "Low Line Color",inline ="1")
colshort = input(color.red, "High Line Color",inline ="2")
ma_function(source, length) =>
if smoothing == "RMA"
rma(source, length)
else
if smoothing == "SMA"
sma(source, length)
else
if smoothing == "EMA"
ema(source, length)
else
wma(source, length)

a = ma_function(tr(true), length) * m
x = ma_function(tr(true), length) * m + src1
x2 = src2 - ma_function(tr(true), length) * m
p1 = plot(x, title = "ATR Short Stop Loss", color= colshort, transp=20, trackprice = pline ? true : false)
p2 = plot(x2, title = "ATR Long Stop Loss", color= collong, transp=20, trackprice = pline ? true : false)
var table Table = table.new(position.bottom_center, 3, 1, border_width = 3)
f_fillCell(_table, _column, _row, _value, _timeframe) =>
_cellText = _timeframe+ tostring(_value, "#.#")
table.cell(_table, _column, _row, _cellText, text_color = col1)
table.cell_set_text_color(Table, 1, 0, color.new(col3, transp = 0))
table.cell_set_text_color(Table, 2, 0, color.new(col2, transp = 0))

if barstate.islast
f_fillCell(Table, 0, 0, a, "ATR: " )
f_fillCell(Table, 1, 0, x, "H: " )
f_fillCell(Table, 2, 0, x2, "L: " )

I managed to convert by myself but failed, please see as below for what I got:

input length = 14;
input smoothing = {default "RMA", "SMA", "EMA", "WMA"};
input multiplier = 1.5;
input src1 = high;
input src2 = low;
input showPriceLines = yes;

def ma_function(source, len) {
switch (smoothing) {
case "RMA":
return RMA(source, len);
case "SMA":
return SimpleMovingAvg(source, len);
case "EMA":
return ExpAverage(source, len);
case "WMA":
return WMA(source, len);
}
}

def atr = AvgTrueRange(length = length);
def a = ma_function(atr, length) * multiplier;
def x = ma_function(atr, length) * multiplier + src1;
def x2 = src2 - ma_function(atr, length) * multiplier;

def shortStopLoss = plot(x, "ATR Short Stop Loss", color = Color.RED, transp = 20, trackPrice = showPriceLines);
def longStopLoss = plot(x2, "ATR Long Stop Loss", color = Color.GREEN, transp = 20, trackPrice = showPriceLines);

AddChartBubble(showPriceLines, a, "ATR: " + Round(a, 1), Color.BLUE);
AddChartBubble(showPriceLines, x, "H: " + Round(x, 1), Color.GREEN);
AddChartBubble(showPriceLines, x2, "L: " + Round(x2, 1), Color.RED);

Appreciate any legend could give a hand

 

[tinfox]

I'd like to scan the universe for when RSI is below X for X number of bars. I'm looking for stuff that is showing extreme weakness or strength.


Also I'd like a price line on the chart for when it first crossed this threshold. This line will provide support and resistance later.

I'd like to scan the universe for when RSI is below X for X number of bars. I'm looking for stuff that is showing extreme weakness or strength.


Also I'd like a price line on the chart for when it first crossed this threshold. This line will provide support and resistance later.

I got this from ChatGPT but there is no price line:

# Define variables
input rsiLength = 14;
input overSold = 30;
input overBought = 70;
input lookBackBars = 10;

# Calculate RSI
def NetChgAvg = MovingAverage(AverageType.EXPONENTIAL, close - close[1], rsiLength);
def TotChgAvg = MovingAverage(AverageType.EXPONENTIAL, AbsValue(close - close[1]), rsiLength);
def ChgRatio = if TotChgAvg != 0 then NetChgAvg / TotChgAvg else 0;
def RSI = 50 * (ChgRatio + 1);

# Scan for RSI below 40 for 10 bars
def rsiBelow40 = Lowest(RSI, lookBackBars) < 40;
def rsiBelow40Count = if rsiBelow40 then rsiBelow40Count[1] + 1 else 0;
def scanCondition = rsiBelow40Count == lookBackBars;

# Plot price line when RSI first goes under 30 during the scan
def rsiBelow30 = RSI < overSold;
def rsiBelow30Count = if rsiBelow30 then rsiBelow30Count[1] + 1 else 0;
def plotCondition = scanCondition and rsiBelow30Count == 1;

plot priceLine = if plotCondition then low else Double.NaN;
priceLine.SetPaintingStrategy(PaintingStrategy.HORIZONTAL);
priceLine.SetLineWeight(2);
priceLine.SetDefaultColor(Color.CYAN);

 

[MBF]

Hi all,
I have been trying to write this strategy script and I am new at strategy writing. I kind of have a grip but I've strayed from the path and am now confused.
The strategy is simple except for trying to figure out the two timeframe conundrum.
Strategy : Daily StochRSI KPeriod is above DPeriod.
4 Hour StochRSI DPeriod is below Oversold and RSI 2 Period is below Oversold.
If anyone can find some time to look at it, I would appreciate it.


Here is my attempt at the script for strategy:

#####
input tradetype = { "long"};

def timeFrame = GetAggregationPeriod();
def lowestAggregation;
def highestAggregation;


input timePeriods = { "day", default "Four" };

# RSI
input rsiLength = 2;
input rsiAverageType = AverageType.WILDERS;
input OverBought =  90;
input Oversold  = 10;

def R = rsiLength < 10;
def Q = rsiLength > 90;

# Stochastic
input KPeriod = 16;
input DPeriod = 10;
input RSILength2 = 14;
input Oversld = 10;
input OverBot = 90;
def T = KPeriod > DPeriod;
def S = KPeriod < DPeriod;
def OS = DPeriod < 10;
def OB = KPeriod > 90;


##Scan##
def Uptrend;


if timePeriods == timePeriods.day {
 Uptrend = if T then 1 else 0;

} and if timePeriods == timePeriods.Four {
    UpTrend1 = if OS  and R   then 1 else 0;
    plot Uptrend;
    if timePeriods {
    day and fourHours == 1 then 1 else 0;


plot ExitUpTrend;


ExitUpTrend = if R  and OB then 1 else 0;


def LongBuy = if Uptrend and UpTrend1 == 1 then 1 else 0;
def LongExit = if R  and OB == 1 and ExitUpTrend[1] == 0 then 1 else 0;


     
##Labels##

  AddLabel(yes, if Uptrend == 1 and ExitUpTrend == 0 then "::Go Long::" else if DownTrend == 1 and ExitDownTrend == 0 then "::Go Short::" else "::Do Nothing::", if Uptrend == 1 and ExitUpTrend == 0 then Color.CYAN else if DownTrend == 1 and ExitDownTrend == 0 then Color.MAGENTA else Color.GRAY);

 def bar = BarNumber();

 def longSignal = if Uptrend == 1 and ExitUpTrend == 0 then 1 else 0;
  Alert(Buy == 1,"Stoch Uptrend",Alert.BAR, Sound.Ring);


  plot upArrow = if (LongBuy == 1 and (tradetype == tradetype.long))  or  (LongExit == 1) and  Active then low else Double.NaN;
        upArrow.SetPaintingStrategy(PaintingStrategy.ARROW_UP);
        upArrow.SetDefaultColor(Color.CYAN);

       
##BUY###
 AddOrder(OrderType.BUY_AUTO, LongBuy == 1 and (tradetype == tradetype.long) and Active and testTimeFrames, price = close, tickcolor = Color.CYAN, arrowcolor = Color.CYAN, name = "BUY");
 AddOrder(OrderType.SELL_TO_CLOSE, LongExit == 1 and (tradetype == tradetype.long) and testTimeFrames, price = open[-1], tickcolor = Color.MAGENTA, arrowcolor = Color.MAGENTA, name = "Sell To Close");
 AddOrder(OrderType.SELL_TO_CLOSE,