Sebinho

@masked_stat @PieroErMatto 🤣 right forgot about my username....I think @masked_stat is indeed french, that is my main language as well but I am from Belgium 🇧🇪, no WC win for us

@sebinho17 @PieroErMatto Sebinho > Ronaldinho 😄 same same Brazilian level my friend 🇧🇷 But careful… World Cup this year guys 😎 FR for the win 🇫🇷🐒

@masked_stat Thank you sir! Using market entries from now on.

@PieroErMatto @masked_stat whaattt??? no sorry mate

@sebinho17 @masked_stat Are you brazilian or portughese by any chance?

@MKM1224 sure!

@sebinho17 Can I keep asking you if I need help?

@masked_stat So I fully ported my version of the Monkey Strategy to NT8. It maches 1 to 1. I have trying to implement an entry system to avoid market entries. But today it missed the trade as price hit TP before a fill. What is your approach for entries?

@MKM1224 nope, all in the strategy

@sebinho17 Did you create it as a separate indicator?

@MKM1224 it is a bit annoying but you have to construct them manually after fetching OHLC with the extra data series

@sebinho17 I see in the image that you've managed to draw the HTF candlesticks. Could you help me do the same? Any ideas, tips, or tricks would be greatly appreciated. Thanks

@MKM1224 the way I do it is the add a 60min data series: AddDataSeries(BarsPeriodType.Minute, 60) Then you will have to cache this data in some variables before drawing them manually using draw.rectangle(), draw.line() and align with price

@masked_stat Now you are teasing us with this "passing evals" strategy, the alpha monkey is naugthy 🐒🤣🤣

Yeah 😄 Costs almost nothing to try it on a small evaluation account anyway , put your hard work to the test🐒 But another very important parameter: I actually do NOT use this strategy to pass accounts. I only use it on funded accounts because the objective there is simply: 🐒 stack 5 consistent $150+ days 🐒 collect payouts Completely different game Passing evaluations aggressively is another problem entirely… and for that I actually use another strategy that I never revealed 🍌

@masked_stat Makes sense. TBH, I am running this on a funded account as well. But only 1 account for now...

@masked_stat Thanks, I guess I will market in then 😄 Here are my BT results on NT8. I would say that is good enough to run on a test account.

Analyse the MAE and you will quickly understand why limit orders are probably not the right approach 😄🐒 The only case where I personally use limit orders is on FVGs that happen before the break. Because those are lower probability IVFGs anyway, so either: 🐒 you catch them deep 🐒 or you simply don’t take them For everything else… market order ( settings below in screenshot) At the end of the day you either trust the model or you don’t. And with ~95% WR over ~250 trades… I’d rather not complicate my monkey life any further and take the money while watching netflix😄🍌

@masked_stat I know that in theory we should not miss too many trades using limit orders. But as it already does not trade much, that is a bit annoying. Market entries on the other end can really punish you badly....😅

@masked_stat @lukeskyhere @masked_stat All this tuning is great and has a lot of potential. But if I run this version on older data like 2024 it collapses. This goes as well for the Open Source version of the script. How do you deal with this? Do you only optimize on older data and test on a fresh data?

@sebinho17 @lukeskyhere Good stuff 🐒 Yes, you always have to balance number of trades vs P&L 😄 Now the good news is that the work you’ve done here is probably transferable to another asset with a different range. Spoiler alert GC. Range: 02:12 → 03:12 Range: 10:12 → 11:12 Target: 19 ticks

Impressive mister 😄🐒 Be careful though… people are soon going to ping you on X accusing you of “fake screenshots” and Photoshop like they do with me without even opening the open source code I gave 😂 Welcome to trading Twitter my friend. One thing I would say though: for 2026, my NY target is now closer to 70 ticks instead of 33. Volatility has increased a lot compared to 2025, so the market is offering much larger MFE on good days. That part comes later though once your model is stable: → review all trades → study MAE / MFE → optimize where the real maximum extraction is That’s where the fun statistical work actually starts 🐒

@lukeskyhere @masked_stat maybe I should stop, eventually I am gonna reach diminishing returns...and trade count will be too low.

@masked_stat @sebinho17 hey guys, hey @masked_stat I'd like to get in touch with you but I can't send you DMs cause I'm not a premium user.... would like to talk about what I've been able to achieve so far (thanks to your hints and some my further tweakings), and how to improve it even more :) Thx! 🐒

@mohbelcry @masked_stat I have put a lot of effort to get to the state it is in right now. I added many filters to reach this performance. So I will not be publicly sharing it. I don't think @masked_stat will share his version either. Put in the work and anybody can get there 🔥🐒

@sebinho17 @masked_stat can you send to me your variant

@lukeskyhere @masked_stat A snapshot is worth a thousand words...not yet as good as the alpha monkey but this is solid. @masked_stat

@lukeskyhere @masked_stat And my max DD is 730$

@lukeskyhere @masked_stat Good stuff! 🐒 I am currently sitting at 214 trades for same period with 90% win rate and PF of 5.1

@mohbelcry @masked_stat I have my modified version of the strategy with several new filters after analyzing the losers

@masked_stat @sebinho17 do you use a defaut config or there is a variations

@masked_stat @mohbelcry

@mohbelcry @sebinho17 Aoutch 😄 You really think Monkey is not smart enough to do that? 🐒 You literally cannot access proper 1-minute data prior to May 2025 on TradingView for this type of research 😄