Create strategies codes with ChatGPT for ProRealTime
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I have used AI/ChatGPT a bit lately, summarizing trading books and creating strategies from that book for me. For that use case it works really nice! Included strategies down below are from the trading book “Long term secrets to short term trading” by Larry Williams. Have fun, and please share any refinements or proper strategies based on these 🙂
1234567891011121314151617// 1. 1-2-3 Low Reversaldefparam cumulateorders = false// 1-2-3 Low setupif low[2] < low[3] and high[1] > low[2] and low < low[2] thenbuyTrigger = high[1]endifif not onmarket and close crosses over buyTrigger thenbuy 1 contract at marketentryBar = barindexendif// Exit after 2 daysif onmarket and (barindex - entryBar) >= 2 thensell at marketendif1234567891011121314151617//2. Oops! Tradedefparam cumulateorders = false// Oops! Tradeif (open < low[1]) and (close > low[1]) thenbuy 1 contract at marketentryBar = barindexendif// Exit: 1% profit or closetargetPrice = tradeprice(1) * 1.01if onmarket and close >= targetPrice thensell at marketendifif onmarket and barindex = entryBar + 1 thensell at marketendif12345678910111213141516171819//Anti Setup (NR4 Breakout)defparam cumulateorders = falserange = high - lownr4 = range < range[1] and range < range[2] and range < range[3]if nr4 thenbuyTrigger = high + 0.1sellTrigger = low - 0.1buy 1 contract at buyTrigger stopsellshort 1 contract at sellTrigger stopentryBar = barindexendif// Exit after 2 daysif onmarket and (barindex - entryBar) >= 2 thensell at marketexitshort at marketendif12345678910111213//Monday Reversaldefparam cumulateorders = falsemondayDown = (dayofweek = 1 and close < open)if mondayDown and dayofweek = 2 and close > open thenbuy 1 contract at marketentryBar = barindexendif// Exit after 2 daysif onmarket and (barindex - entryBar) >= 3 thensell at marketendif1234567891011121314151617181920//Inside Day + Narrow Rangedefparam cumulateorders = falseMyrange = high - lowinsideDay = high < high[1] and low > low[1]narrow = Myrange < Myrange[1]if insideDay and narrow thenbuyTrigger = high + 0.1sellTrigger = low - 0.1buy 1 contract at buyTrigger stopsellshort 1 contract at sellTrigger stopentryBar = barindexendif// Exit after 2 daysif onmarket and (barindex - entryBar) >= 2 thensell at marketexitshort at marketendif5 users thanked author for this post.
I have used AI/ChatGPT a bit lately, summarizing trading books and creating strategies from that book for me. For that use case it works really nice! Included strategies down below are from the trading book “Long term secrets to short term trading” by Larry Williams. Have fun, and please share any refinements or proper strategies based on these 🙂
// 1. 1-2-3 Low Reversal
defparam cumulateorders = false// 1-2-3 Low setup
if low[2] < low[3] and high[1] > low[2] and low < low[2] then
buyTrigger = high[1]
endifif not onmarket and close crosses over buyTrigger then
buy 1 contract at market
entryBar = barindex
endif// Exit after 2 days
if onmarket and (barindex – entryBar) >= 2 then
sell at market
endif// I did a backtest and liked this code. I have added a short and did some updates. it shows promis and I will backtest on live data for a few days and see if I can refine it a bit more. 1H Timeframe
// === SETTINGS ===
DEFPARAM CumulateOrders = False// === VARIABLES ===
if barindex = 0 then
entryBar = 0
buyTrigger = 0.0
sellTrigger = 0.0
endif// === 1-2-3 LOW REVERSAL SETUP (LONG) ===
if low[2] < low[3] AND high[1] > low[2] AND low < low[2] THEN buyTrigger = high[1] endif // === 1-2-3 HIGH REVERSAL SETUP (SHORT) === if high[2] > high[3] AND low[1] < high[2] AND high > high[2] THEN
sellTrigger = low[1]
endif// === LONG ENTRY ===
if NOT onmarket AND close crosses over buyTrigger THEN
buy 10 CONTRACT AT MARKET
entryBar = barindex
endif// === SHORT ENTRY ===
if NOT onmarket AND close crosses under sellTrigger THEN
sellshort 10 CONTRACT AT MARKET
entryBar = barindex
endif// === LONG EXIT ===
if LONGONMARKET AND (barindex – entryBar) >= 20 AND close > tradeprice THEN
sell AT MARKET
endif// === SHORT EXIT ===
if SHORTONMARKET AND (barindex – entryBar) >= 20 AND close < tradeprice THEN exitshort AT MARKET endif3 users thanked author for this post.
24 Hours of Live Testing the above Code. it has promis and will continue to Live Test in my Demo Account.
1 user thanked author for this post.
Hi Grahal, that’s from your friend here (see below).
Ask him how he got that in there.
Anyway it will just be spam.You didn’t sign up with GPT so it can fire up its own computing, did you ? (this is new since a few days)
1 user thanked author for this post.
GPTs are customized versions of ChatGPT that have additional information, knowledge, instructions, and skills about a specific subject — for example, ProRealTime… 😉
In ChatGPT, you can create these custom versions yourself…
You can also search under “Explore GPTs” for specific topics (see screenshot)…
When you use these specialized GPTs, the answers will generally be more relevant and contain fewer errors, as the GPT is already “trained” on the specific topic…
Currently, there are 8 GPTs (in the free version) related to ProRealTime…1 user thanked author for this post.
Just to clear up a common mix-up 🙂: custom GPTs in ChatGPT aren’t re-trained models.
They’re the same underlying ChatGPT, but with added instructions, reference docs, or even API hooks.It works a bit like RAG (retrieval-augmented generation) when you ask something, the GPT first looks through that extra material you’ve provided, then uses its usual reasoning skills to create the answer.
That’s why they can feel more accurate on a topic and not because the AI “learned” it from scratch, but because it’s got the right notes in front of it.I’m currently working on two projects around ProRealTime coding:
- ProRealBlocks – lets you build ProBuilder code by assembling visual blocks. The code is generated in real time as you connect them. Perfect for learning how to code through block-based reasoning. This one’s always ready (for the new website launch) and currently delivers basic code reasoning based on its built-in knowledge (see attached examples).
- An advanced ProRealTime coding chatbot – designed to be the most accurate bot for generating ProRealTime code. Still deep in development (lots of trial and error! and model training can take a lot of time..), but very promising. There’s still a lot to do before it’s production-ready.
7 users thanked author for this post.
Fun to see the strategy looks promising! I cant seem to reproduce your results. Do you mind uploading .ITF per instrument?
Here is the .ITF and a printed P/L from the 5th of Aug showing untouched transactions. Also attached Current position, I’m running it on a 5 minute TF and will let it run for 30 days
1 user thanked author for this post.
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