amiacat

@Positive_Equity btw seems like there's a wrong hyperlink when accessing the "Careers" via the "Who we are" page. Might wanna get it fixed. positive.ie/category/who-w…

Market Wizards reflects our philosophy: risk first, longevity over hype. We hire selectively — top academic and competitive performers. Remote internships. Paid trainee roles (EU). Experienced traders. Small losses. Long careers.

@WorkflowWhisper mcp

Claude and Cursor can now deploy n8n workflows directly into your instance. Not "generate code you have to fix." DEPLOY. 95% complete. Ready to run. And you don't change a single thing about your setup. Same Claude you already use. Same Cursor you already use. Same n8n instance you already run. Just connect Synta's MCP and watch what happens. I typed: "Build a competitor monitoring system that scrapes pricing, analyzes with AI, and alerts Slack when I'm being undercut" Didn't open n8n. Didn't configure a single node. Didn't debug a single webhook. Closed Cursor. Made coffee. Came back. 6 workflows sitting in my instance. Connected. Running. Time: 4 minutes Nodes configured manually: 0 Consultant quote for this: $14,000 Here's why this changes everything: Most AI tools generate broken JSON you spend 3 hours fixing. Synta's MCP: → Interviews you before building → Scrapes real-time n8n docs (not 2023 training data) → Deploys directly to YOUR instance → Auto-debugs before you even see errors Your workflow. Your instance. Your existing tools. Just 10x faster. While consultants schedule "technical scoping calls"... You already shipped. Comment "MCP" and I'll send you: → Setup guide for Claude + Cursor → 5 workflows to deploy in your first hour → Link to check if you got early access The barrier to automation just became a conversation.

@cole_medin may i check if there is an option for a lifetime membership? would gladly pay for it. do drop me a PM if it can be done!

After months of hard work, I’m BEYOND excited to finally announce Dynamous AI Mastery - an exclusive community for early AI adopters who are serious about using AI to transform their careers and businesses. Spots are limited, so this is your chance! 👉 dynamous.ai

@mikefutia REELS

This Instagram Reels AI agent is absolutely wild 🤯 It scrapes trending Reels in your niche, analyzes them with AI, and extracts every creative insight you need. All inside n8n + Airtable. Perfect for DTC brands & agencies who need to know what's working on Instagram before they create content. Here's the problem: Manual Instagram research takes forever. You're scrolling for hours, screenshotting videos, manually noting hooks, trying to remember what worked. And by the time you act on it, the trend is dead. This n8n automation solves it: → Enter a keyword (e.g., "skincare", "fitness", "productivity") → AI scrapes trending Instagram Reels automatically → Writes all videos to Airtable with views, likes, comments → Click "Analyze Video" button in Airtable → Gemini watches each video and extracts: Hook, Proof Point, Theme → Click "Analyze Comments" for instant comment insights No manual scrolling. No spreadsheets. No missing trends. What you get in Airtable: → Video URL, creator handle, performance metrics → AI-extracted hooks (what stopped the scroll) → Proof points (what built credibility) → Creative themes (the narrative structure) → Comment insights (what the audience is asking) Built 100% in n8n. Want the complete n8n template + Airtable base? > Comment "REELS" > Like this post And I'll send it over (must be following so I can DM)

@mikefutia reels

@TheOneLanceB @realmiahlee 4. Re-entry after being wrong: How do you decide when to get back in thinking that you are now on the right side of the V (after being stopped out) vs when to accept you’re wrong and wait for the next setup? Re-entries can easily lead to chop — how do you manage that?

@TheOneLanceB 3. Anticipatory stops: What’s your view on taking anticipatory stops (based on red flags or price action) before your defined risk is hit? I’ve seen @realmiahlee do it well — but is that generally something you recommend?

Making a video on risk management. What questions do you have? What areas of it do you want covered?

@JulianGoldieSEO sop

New AI just replaced N8N forever. And it’s completely free right now. Here’s how I built 3 workflows → ✔ Gmail → Slack → ClickUp (3 mins). ✔ YouTube → Blog → LinkedIn posts (auto). ✔ Competitor tracker → SEO briefs (instantly). No setup. No coding. Just talk to the AI and it builds everything. Save this video, you’ll rethink automation. DM “SOP” for the full workflow. 💬

@YanniTrades checklist

If you could trade the same A+ setups senior traders focus on — and actually know what they look like — you’d likely scale up much quicker. I created a free Rating Guide that breaks it all down step-by-step for my strat. Like, retweet, and reply "checklist" — I’ll DM it to you.

@henrythe9ths AI Guide

There's a shocking fact about AI that nobody tells you: You can catch up to the public AI research frontier in just 2 weeks. Yes, really. I've built a $150M annual revenue startup over the last 8 years and If I were to start a company today, I’d drop everything and go all-in on AI. But like many busy software builders, I felt lost—overwhelmed by the noisy, crowded and fast-moving modern AI landscape. And I wasn’t alone. So I spent my entire holiday diving deep into AI research—reading 30+ papers, watching hours of lectures, analyzing trends, and catching up to the research frontier. ✨ Here’s what I learned: - You don’t need months (or years) to catch up. - You don’t need a PhD or decades of ML experience. - You need fewer than 20 papers and 2 weeks to understand the major breakthroughs shaping AI today. It's because the technology is extremely nascent and most techniques that came before are no longer relevant: - ChatGPT is barely 2 years old and Transformers are only 7 years old. - Most game-changing discoveries happened within the last 4 years, driven by a few breakthrough ideas, scaling laws, and efficient matrix multiplication. The biggest secret? Many groundbreaking AI papers with thousands of citations are surprisingly simple and applied, like adding "let's think step by step" to the prompt, or simply asking the LLM over and over again to improve its answer (Self-Refine). I realized there are tons of founders and builders in the same boat—wanting to dive deeper into AI but unsure where to start. I've created an essential AI Guide that helped me catch up, in just 2 weeks, to the frontier of public AI research to figure out where the next opportunities and gaps were: - Curated list of only the most important papers - Simple explanations of key concepts - Clear pathway to understanding the frontier of modern AI It’s perfect for: - Founders expanding into AI - Builders wanting to innovate at the frontier of AI - Investors looking to separate the signal from the noise 👇 Want the full guide? - Like and Share this post - Comment "AI Guide" - I'll send you the complete guide (ps, I’m also teaming up with @VishalVasishth, co-founder of @obviousvc with @ev (focused on large-scale societal impact companies like Twitter, Medium, Beyond Meat), to host a small meetup to discuss what's working and needs to be solved in the AI stack in SF. Message me if you're interested)

@HangukQuant have an awesome bday ma man!

🚨🚨🚨alright it's hangukquant's birthday, so I am going to do a GIVEAWAY. super long since i done one - about 20k worth of quant content to give out. here are the prizes with (# winners) I will allocate. last time I did this I got 500 signups, good luck! forms.gle/EUSUAcrbyvW8wR… all you gotta do is rt and like this, maybe comment and tell me happy birthday or that you hate me or whatever lol🤣. cheers! love you guys (some, at least) the form is here

@BrianLeeTrades getting in? e.g. throwing in small size (esp w limit orders) and see how easily you get filled. Not sure why some algos will still frontrun you even with small size, but they do happen, and potentially some information can be inferred here to give greater conviction on the entry

@BrianLeeTrades Thanks for the detailed answer, love every bit. Just exploring here. While i understand that getting punished by MMs are typically mistakes on traders' end and we should fix them, but what are your thoughts on making use of the "MM's punishment" to test out the prices before...

Question regarding "stop hunts" [1] First thing's first, in my experience, I have noticed that people tend to misunderstand trading ranges and placing too much importance on the short term volatility. Much of the time the most important points of the chart are the extremes, I'm talking about HOD/LOD depending on your bias. A lot of the volatility within is pretty much noise. This is actually a very complex topic so I'll try to touch on some points but there are numerous examples of specific situations that are contradictory but the overall application of this mindset yields a positive trading psychology (less stress/less emotional/more grounded). Examples of contradictions: 1. Level 2 / Tape showing clear change of character such as large/illiquid spreads 2. Outlier volume in both directions, either drying up or extreme relative volume 3. Breaking news/filings There are definitely a few more but generally speaking you're dealing with a normal market and the market is not to blame for having poor stop placement. Let me define poor stop placement: Poor stop placement is when you're placing a stop at a level that has no logical basis. People tend to generate their own logic by creating a reason or justification for their placement, a really good example would be using a swing high/low as "where I am wrong". Well are you wrong? Most likely not, you're not accounting for the total range of the stock, the ADR or considering what type of mode the stock is in. Mode: Range-bound market or Trending market. (There are more but these are the most common) Range bound markets tend to oscillate between supply and demand zones. I'm talking moving averages, pivot levels, daily levels, high volume nodes or levels of high interest such as a breakout or gap. Trending markets are when you can expect supply or demand to overwhelm the other and forms structure like lower highs/higher lows. Even in these cases, however, you can still experience whiplash by anchoring to the last swing high/low because markets tend to be emotional... emotions can cause traders to panic in the short term and it only takes one trader with meaningful size or a horde of traders to create a short term move that might FEEL like a "stop hunt". (See my quoted image [3] for an excerpt regarding this) Which brings me to my next topic, emotions. Just like I mentioned above, emotions and how traders or market participants react to pressure can be all that matters. It only takes one trader to freak out to the penny and make a stock temporarily breakout. It might seem like a foreign concept but it happens regularly to me, and I never really understood exactly how trading was zero-sum until I began experiencing slippage, system degradation and moving markets. Let's say for example, a large whale trader is on vacation then you may see less volatility because orders that might move the market are not present, also in reverse, if they were present on this day. I've seen it plenty of times that a trader will hold a market with something like a TWAP or a larger order iceberged etc and that induces panic in terms of other traders reacting to the non-movement / slight uptrend created. Same thing for inducing halts which gets a lot of attention generally as well. Notice that traders have a lot more power in these circumstances than traditionally taught. You have to lean on my experience for this until it rightfully makes sense when you experience the same. Other things that I speak from experience with... In very unfortunate conditions like a very cheap stock, illiquid stock or just generally meeting these criteria, traders sometimes get flagged for something called "Large Trader" by the SEC (read more: investopedia.com/terms/l/larget…). I've had this applied to my accounts which you are obligated to disclose annually for a couple of years now and it's not been any issue. I've had ECN's call my broker in the past asking about my orders, clearly acknowledging that it's being observed. I've experienced market makers just doing their job by punishing my mistakes and moving markets against me but only because of either being illiquid or moving the market in an unnatural way. These are almost always my fault and easily detectable, it's easy to detect any order that isn't the usual 100 share prints or even lots that you see painted on the tape all day. Typically market makers are neutral and just capturing spreads and providing liquidity, it's not to blame, however they can react to large orders in a way that isn't beneficial to you. Algos can pick on this and I've also witnessed plenty of algos and how they've changed throughout the years or adapted. I don't really consider it my concern as they usually can engineer these low float trades to appear thick and then blow them up on a dime, it's typically one's own fault for not reading the room or having a proper read on the setup itself (nano floats, heavily manipulated underwriting, sketchy agenda, foreign companies with unusual finances, large illiquid spreads, liquidation names etc). Generally speaking, and sorry to preface so much detail but it is necessary, hard stops are recommended very much and are not blatantly being abused aside from people having too tight of risk, not knowing the mechanics of the stock they are trading and not having a fair view of the entire range expansion created for such an opportunity. Platforms like DAS have stops on server side, meaning they trigger once price hits and isn't on the book. Interestingly I've seen other platforms with stops on the book get better fills, it goes both ways I guess. This is why thinking that one can scalp with huge leverage on futures or large caps can equate to massive R gains leads to denial in that each point is pretty wide and also the ATR might not agree with their stop placement. Or why you can't just used a fixed position size like 1000 shares on every single smallcap stock you trade as some will be $1, $5 or $10 and everything in between, each position will have a completely different effect based on how significant the position is relative to price/volatility/implied range. As you can see in image [2], I've thrown out market orders on pretty good size and that even had my broker confused but you need to realize that liquidity is something dynamic that you must have a good understanding of and if you do, you can account for risk in a different light. The goal is to be trading with the mentality that you might get slipped somewhat, you might even get really pissed off, but there are numerous situations where that stop loss is 1000% a better decision than your own in the moment, especially fueled by emotion (undeniable physiology). If you're sizing correctly and growing it through a tempered compound, you should be able to experience all of the levels associated with that growth and the degradation/liquidity concerns. I can say that it really goes a long way and I don't think I've had any major issues... it also saves your ass on halts vs limits or mental (think big gap up, 10m halts etc). There's so much to say but one of the last things I want to hit on is actual strategy vs reality. If your trading plan implements things like adding to winners/pyramidding or trend following, then you might experience whiplash where you're not NATURALLY wrong on your initial thesis but still get stopped out. This can feel personal but it is not. If you employ such a strategy it's imperative to understand that you getting stopped was in service of a greater gain potentially but you simply got cooked by the market for trying to maximize the potential. In a lot of ways this maximization fuels the "stop hunt' feeling, traders who seldom touch their initial position actually experience the benefits of the greatest EV trade, the one closest to their optimal risk level and thus are less likely to feel "hunted" by the market. Coming in anywhere where the EV is decreasing as your potential entry drifts from your ideal exit point creates this mental trap. It is EXTREMELY important not to take the market personally, it could quite literally be another person or group of persons or yourself but ultimately the range the stock created during expansion is the most important objective way to view fluctuations. Take a look into Auction Market theory. My simple way of explaining it is that the market is just in search of large demand or supply and will do what it does in between those points. As it goes between these areas the price action with bounce, spike, drop, consolidate etc... all normal market behavior. It's actually MORE weird to see a stock that goes straight up or straight down, something is not sustainable about that. Markets move in zig zags and create structure in doing so, that's just normal so understand where the stock reversed in an extreme fashion is where you should substantially more weight on.

@BrianLeeTrades @Joe05113 given your use of hard stops, does this mean you dont believe the whole "stop hunt" situation that pple say in the retail space? would you say that if someone got "stop hunted" before eventually reaching their PT, it just means that their stop out strategy is not robust?

@Joe05113 I use hard stops, there’s no reason not to unless you are trading with a ton of size. It becomes a lot more difficult to manage those but for vast majority I would say it’s necessary and effective.

What questions do you have? I’ll answer in the replies.

@HangukQuant would love to be part of the giveaway!! I'd be so insanely happy and run out to my street naked if I'm so lucky to be selected

‼️‼️ QT301: Modern Techniques in Quantitative Trading. Our new quant course is up! In this lecture we discuss advanced quant trading/dev/research system infrastructure. hangukquant.thinkific.com/courses/qt301-… This is easily the most advanced and powerful system I have released to the public...if you were impressed by the QT101 or QT201 lectures, this is a whole new level. If you thought the other lectures were information dense, this is...alot more packed. As with QT101,QT201 - I will be doing some giveaways (a few spots already taken), so you can try your luck at it - I appreciate all rts and sharing. Yes, it is somewhat pricey relative to the previous two - like I said, easily the most valuable codebase and material I have put out there since inception. In my opinion, I think it is at least worth an iPhone, if you are serious about your craft. There are also different access options, so be sure to check out which ones are applicable for you.

@HangukQuant rly interested in this course to understand more about quant trading

‼️‼️ QT101: Introductory Lectures in Quantitative Trading. Our new quant course is up! It is currently free-of-charge, but...not open to public. For a chance to get invited, share/rt/dm/whatever/do your thing to make me notice...and fill out form below. hangukquant.thinkific.com/courses/qt101-…

@DownhillEdge @t1alpha Which platform do you get this ss from?

1/ Are hedge funds massively net short? Lets take a closer look. 🧵 $SPX *Spoiler Alert* There is no big hedge fund short.