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plot myData = gamma()*0.5*Sqr(close(getUnderlyingSymbol())/100);
alot of custom scans were stuck on loading today, TOS had some issues, try loading and let it load for about 10-15 mins and should work if the code is working code and criteria is met.
# Gamma Exposure at each strike is calculated by the formula option gamma * open interestRate * 100 (calls, x-100 for puts)
plot data = if IsPut() then ceil(gamma() * -100 * open_interest ()) else ceil(gamma() * 100 * open_interest());Yes, I'd be interested in the gaming gamma code. Do you have any of his other stuff as well?I'm late to the party, but this what NextSignal Doc had on his twitter that I came across while browsing his blog. Not sure why the page is dead now:
7 days agoTo identify the high GEX strike for the strategy, you can simply add a custom column to the options chain. Here's the code I use. If you don't know how to add a custom column in Thinkorswim ... Google is your friend. (I'm not teaching or supporting on this.) No advice. 12:16 PM · Sep 10, 2022·Twitter Web App, Retweets, MattGTheJeweler,
Code:# Gamma Exposure at each strike is calculated by the formula option gamma * open interestRate * 100 (calls, x-100 for puts) plot data = if IsPut() then ceil(gamma() * -100 * open_interest ()) else ceil(gamma() * 100 * open_interest());
I added to my columns and I have nice fat positive and negative numbers (on the put side). I guess this is how you use it:
I also grabbed his Gaming Gamma code - will post if anyone wants it:
Still trying to figure out how to include it in my strategy: Looks that pic in the above tweet the volume studies may be custom? Couldn't find any defaults. Here's what I have with his Adaptive Moving Avg study as well:
# Buy Signal: Buy when Gamma and price simultaneously decline
# Filters: 1-bar lower OHLC4 and selling pressure (buying into weakness)
# Strike choice: Strike with highest OI (GEX) and near-the-money
def offset = sqrt ((high - low)) * 0.2;
def gamma = gamma();
def gamma1 = gamma()[1];
def price = close();
def price1 = price[1];
def sellpress = ((high - close) / (high-low)) > 0.6;
plot buyArrow = if price < price1 and gamma < gamma1 and sellpress and OHLC4 < OHLC4[1] then low - offset else 0;
buyArrow.setpaintingstrategy(paintingstrategy.arrow_up);
buyArrow.setdefaultcolor(createcolor(38,115,255));
buyArrow.setlineweight(2);
buyArrow.hidebubble();
buyArrow.hidetitle();
plot buyValue = if price < price1 and gamma < gamma1 and sellpress and OHLC4 < OHLC4[1] then close else double.nan;
buyValue.setpaintingstrategy(paintingstrategy.values_BELOW);
buyValue.setdefaultcolor(color.Yellow);
buyValue.setlineweight(2);
buyValue.hidebubble();
buyValue.hidetitle();@Iceman1205usI'm late to the party, but this what NextSignal Doc had on his twitter that I came across while browsing his blog. Not sure why the page is dead now:
7 days agoTo identify the high GEX strike for the strategy, you can simply add a custom column to the options chain. Here's the code I use. If you don't know how to add a custom column in Thinkorswim ... Google is your friend. (I'm not teaching or supporting on this.) No advice. 12:16 PM · Sep 10, 2022·Twitter Web App, Retweets, MattGTheJeweler,
Code:# Gamma Exposure at each strike is calculated by the formula option gamma * open interestRate * 100 (calls, x-100 for puts) plot data = if IsPut() then ceil(gamma() * -100 * open_interest ()) else ceil(gamma() * 100 * open_interest());
I added to my columns and I have nice fat positive and negative numbers (on the put side). I guess this is how you use it:
I also grabbed his Gaming Gamma code - will post if anyone wants it:
Still trying to figure out how to include it in my strategy: Looks that pic in the above tweet the volume studies may be custom? Couldn't find any defaults. Here's what I have with his Adaptive Moving Avg study as well:
I'd think one could just copy the GEX code from the WL Column to the chart as a study. Premiums, no - not sure.
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