Pattern Recognition

Former Inter-dealer Broker | Derivatives Trader #FDAX #ES_F | Market insights, profiling & microstructure | Intraday analysis | Educational content

[Pattern Recognition @PRTAcademy]

An introduction to my account 'Pattern Recognition' and trading style:

All content on my account is for educational purposes. Not financial advice. 🚫

◻️Market / Trader Profiling

Trader profiling entails understanding the natural thinking and learning structure inherent in our brains. This foundational knowledge assists in navigating the intangible environment of the stock market. The primary focus centres on technical analysis, the preference among traders, complemented by insights from classic fundamental and portfolio theory approaches.

◻️Understanding Human Thought Patterns in Trading

Acknowledging our innate tendency to assign causes to observed effects, logical thought processes, and analysis of actor behaviour in the stock market is necessary. Visual representation of stock market prices facilitates this understanding, revealing strengths, limitations, and potential thinking errors that may influence decision-making.

◻️Motivation in Market Activities

Every human activity, including those within the stock market, arises from specific motivations. This cause-and-effect principle governs price history. A market actor's interactions with others leave behind a trace, represented in the price trend. This graphical representation simplifies the understanding of turnovers and the satisfaction of supply and demand.

◻️Analysis of Market Participants

A deeper analysis unfolds by examining various market participants:

▫️The final market actor and the commission dealer, viewed as a unified group.
▫️Exploration of the futures exchange, with attention to the capital and cash markets.
▫️The role of the options trader and the significance of options in institutional markets.
▫️The crucial link of index arbitrage between cash and futures markets, ensuring liquidity.

◻️Operational Dynamics and Decision-making

Understanding the environment in which market actors operate and the stock exchange's structural components is paramount. Derivative superstructures, especially in the DAX index, can be studied to an advantage. Additionally, the role of index arbitrageurs and the factors they consider, such as basis, interest rate, dividend, and maturities.

◻️Practical Implementation and Trading Strategies

Practical aspects of a trader's work will involve an emphasis placed on creating a script for the trading day using options market open interest reports. Identification of price trends and formulation of practical, implementable strategies take a primary role. The delta calculation of options and subsequent analysis guide decision-making.

◻️Institutional Short-Term Traders

The largest institutional group, the short-term trader, is considered a day trader's host, so exploring their activities as scalpers, phase or building block traders, and swing traders is important. A chronological approach is employed to prepare, trade, and follow up on a trading day. This includes chart preparation, identification of activity zones, and understanding individual price trends in the market.

◻️Chart Analysis as Actor Confirmation

The exploration continues with chart analysis. The chart is a confirmation tool for actor interpretation, not for classic signal generation. The focus is on understanding the actual price trend as the effect, not the cause. Examining and comparing typical trace patterns can gain a nuanced understanding of the operational principles of distinct groups of market actors.

◻️The 5 Vs an introduction

In a 2D linearity of typical charts with price + time, understanding the dynamics through the lens of the 5 Vs (variants) can provide a comprehensive framework:

▫️Volume
Higher volume often confirms trends or significant price movements, supporting or challenging the current market direction. It adds depth to the market by showing the strength behind price movements.

▫️Volatility
The rate at which the price of a security increases or decreases for a given set of returns. Volatility stretches or compresses the market's range, providing a measure of potential price movement. It can be thought of as an oscillator, affecting how far prices might deviate from their mean. Specifically, the VDAX measures the implied volatility of options on the DAX.

▫️Value
Refers to intrinsic, market, or perceived value based on fundamental analysis and sentiment. Value acts as a foundational force, pulling prices back towards what they "should" be according to fundamental analysis. Discrepancies between market price and intrinsic value can lead to movements where market prices adjust over time, sometimes creating or breaking market ranges.

▫️Vectors
These include market forces like index arbitrage, correlation between instruments, and movements in currency pairs, among others. These vectors create directional movements between markets on the z-axis, creating sliding or stabilising movements.

▫️Velocity
The speed at which prices change or information spreads, often catalysed by news or data releases. Velocity impacts the element of time, acting as an accelerant to market movements. High velocity might amplify the effects of volume, volatility, or even shift perceptions of value, potentially leading to rapid shifts in market direction or range.

These five factors interact in complex ways, shaping the three-dimensional landscape of the trading environment. By considering these elements, traders can gain a more nuanced understanding of market behaviour beyond the simplicity of two-dimensional price + time charts.

[Pattern Recognition @PRTAcademy]

@jeeniuzx 🫠

Same shit different day 💩🤡

[Pattern Recognition @PRTAcademy]

@jeeniuzx Ginger PW idiot. ICT kicked off when PW left the spaces.

Those two have been beefing for years. All show 🎩🎭

[Pattern Recognition @PRTAcademy]

@Peregrino1708 Happy Monday my friend 🤝

[Pattern Recognition @PRTAcademy]

@DAX40 Wow... nice restoration project! 🛵

[Pattern Recognition @PRTAcademy]

@steveruffley @Uber They ain't lying 😅

[Pattern Recognition @PRTAcademy]

@CostaMooney Wow, that looks super fresh and tasty! 🍛

[Pattern Recognition @PRTAcademy]

@Peregrino1708 Good Morning and have a great Sunday PG!

[Pattern Recognition @PRTAcademy]

@AnantaSumantera Nice window on the staircase there 👌

[Pattern Recognition @PRTAcademy]

@Trading_Balance @XennialTrader There's also speed running, and the final boss (Trump)!

[Pattern Recognition @PRTAcademy]

@6Epro It does. I miss my burner from my old place. An open fire is 👌🔥

[Pattern Recognition @PRTAcademy]

Some really interesting points made here from The Cigarette Man 👇👇👇

I had never coded before, so AI has obviously opened a huge gate for me. I’ve been able to get some amazing projects off the ground that I never would have managed otherwise.

Your advice about setting up a department, heading it, and examining the employment model for governance is priceless. Your corporate background has clearly served you well here.

There’s a real trap - a fine line between working for the AI versus having the AI work for you - and you’ve outlined that distinction really well.

With current intelligence and memory available, writing and running code isn’t all that different from long-form editorial work. You still need a clear remit, the right registers, and proper phase-gating plus guardrails, and of course solid prompting.

So treating yourself as the CEO of your own little operation is a clever move.

Building a second brain is definitely advisable (Obsidian or something similar). For now I’m making do with Claude project files. This prevents the dreaded drift!

[The Cigarette Man @str0ngl4nd]

I think I understand your frustration even though I am approaching development with AI Agents from the opposite side of the spectrum. Which I think qualifies me to give you some advice from my perspective, and it became a bit long as I got a little bit inspired here but I hope this is helpful to you somehow.

At the core it sounds to me that problem boils down to that you experienced what happens when you completely outsource engineering responsibility to your agents, without providing them with the structure required to actually perform reliable software engineering work.

You probably need to do an 180 on this and ground yourself in that agents does not provide you with freedom, they provide you with leverage and output amplification. AI agents does not allow you to escape the age-old fact of "garbage in, garbage out", and with agents, this problem is significantly amplified and spins out of control very quickly.

I have 15+ years experience from mission-critical enterprise software projects in industrial and military IT that often had safety requirements as well. This background has helped me a lot in how I approach using AI in my own projects because I knew why these projects were so reluctant to introduce AI into their software engineering processes.

In projects that are about sending megawatts across nations and cities, code for jetfighters, industrial robotics, automatic on/off-loading of 40-foot ship containers, the last thing you want to do is to let an AI agent ship code without being 100% sure that it is not going to do stupid (read: dangerous or expensive) shit because the liabilities are very serious. And I saw what could happen and it wasn't pretty.

So I adopted this view for myself and in hindsight, my reluctancy at using AI agents was a good decision and I don't mind being relatively late to the game because it's still very early by any metric.

I actually only started to use AI agents seriously a few weeks ago. There are various reasons for this, not the least that I'm mainly coding MQL5 in MetaTrader 5 and really want to control the process, as I discovered very quickly in earlier testing that if I tried to maximise agent autonomy, my architectural ownership would degrade very quickly, and reliable software engineering output decayed immediately, and in trading code, this is a very bad thing, therefore I deferred all this until later, which ultimately became much later.

What you are describing is exactly what I suspected would happens if you focus is "let's have agents write code for me. I write prompts, they build my thing."

The focus you need to have is "Let's build a software engineering department."

The next potential devastating mistake is to use an AI agent to design the engineering department. Use an existing repo as a starting point, yes that will save time, but the core principle must still be to retain 100% understanding, ownership and internal control.

In other words, you need to step in to the role of a department manager, combined with lead engineer who is extremely nit-picky about how the employees do their work, at a degree at which any human engineer would leave within a week after experiencing your level of control freak.

The goal I arrived at is I need them to code exactly like I would. So I must give them a broad playbook of patterns, decision-making priorities and all the rest of it. A simple auto-linter will not cut it.

The alternative is that every PR becomes a nightmare of being annoyed at how they did it even though it technically works and having to clean up their shit, only for them to do it again before you even finished.

So one must start in the other end of things. Control agent behavior. Make sure they behave, that they remember, that they document.

Make it your prime directive to create engineering leverage extending from your own principles. Any shortcuts you take in structure will amplify far far worse with agents than when you make a mistake yourself due to the leverage agents give you.

I hope this helps.

[Pattern Recognition @PRTAcademy]

Thanks Peter. I love both reading and trading, so please keep ’em coming! I reckon you hold the longest and best self-established trading track record.
I love your stories and the advice you give to the younger generation of aspiring traders.
In this industry you can build a great career, and potentially span 6–7 decades, by focusing on long-term growth rather than immediate riches.
As you say, markets are math, and thank you for mentioning who inspired you.
The markets are indeed maths. Besides working on a desk, I’ve also been an engineer/technician and puzzle solver. Renaissance is a great mention.
The industry has shifted with the rise of the prop-firm scene. There are now different types of traders: market traders who trade the financial markets, and “gamers” who trade prop firms.
My passion will always be the financial markets, so I’m grateful to traders like you for keeping us anchored.
Much appreciated.

[Pattern Recognition @PRTAcademy]

@CostaMooney An AI trading system needs guardrails. Sounds like a decent project!

[Pattern Recognition @PRTAcademy]

Retail losses can arise from leverage, costs, negative expectancy, adverse selection, poor education, execution, overtrading, behavioural factors.

Not just a psychological problem. Labelling it as such is unjustified.

[Pattern Recognition @PRTAcademy]

@Peregrino1708 Good Morning!

I opted for a bike ride. Now relaxing.

Enjoy your weekend PG

[Pattern Recognition @PRTAcademy]

@AshleyGPT You can take the pleb out of the village, but not the village out of the pleb… okay 😝

[Pattern Recognition @PRTAcademy]

@RoyalFlowTrader @leahlager End of an era! 🇸🇪 - 🇬🇧

[Pattern Recognition @PRTAcademy]

@mxzzr1100 Have a great weekend Renato! 🥂

[Pattern Recognition @PRTAcademy]

Hey, how's everyone doing? 👋

Turns out posting less is surprisingly effective if the plan is actually getting some work done. The algorithm considers that a character flaw.

I've been quieter lately, but not because I've disappeared. The market did what it usually does, stole most of my attention. It's a demanding employer, and to its credit it's never once asked to see my engagement metrics before letting me place a trade.

Creating meaningful educational content takes an enormous amount of time, and if you're not careful it becomes the thing rather than the point. Trading has always been the profession for me; content has been a distant second. I'd rather spend my time in the markets, trading, researching, refining ideas, than trying to convince an algorithm that market structure can compete with someone pointing at a giant red arrow shouting "THIS CHANGES EVERYTHING."

Over the last year it's become clear that social media rewards entertainment over education. That's not a complaint, it's just the game. It was never really the game I wanted to play. I'd rather be genuine than viral.

So instead, I've spent the year quietly building.

The Discord has quietly become my favourite corner of the internet, which, admittedly, isn't the most competitive award these days. It's become a place where ideas actually get challenged, markets get discussed properly, and learning takes priority over noise. The conversations there have been far more rewarding than chasing impressions ever was.

The other milestone is that I've finally finished writing my trading course. It isn't public, and won't be, but it represents well over a year of work and I'm genuinely proud of what it's become. It reflects everything I believe trading should be, a complete framework for understanding how markets actually function. Market structure, auction theory, options positioning, macro context, execution, risk management. Turns out explaining how markets actually work takes a little longer than selling another three-candle pattern.

I've also become more intentional about who I work with. Rather than collecting referral links like Pokémon cards, I'd rather represent one or two firms who recognise the work and value experience, professionalism, and integrity, and earn that relationship rather than rent attention for it. The industry still puts a lot of weight on marketing reach over trading experience, but I think that shifts eventually. Good traders have a habit of recognising substance in the end.

After the school holidays, I'll be running live streams inside the Discord. Sharing the markets as they unfold, walking through the decision-making in real time, and showing the process rather than posting pretty charts after the move has already happened. You'll probably see the occasional mistake too. Unlike social media, the market doesn't let you quietly delete the losing ones.

To everyone who's kept following the work through the quiet spell, genuinely, thank you. I've never been interested in building the biggest trading community. Quality has always interested me far more than volume. I'd rather build one of the best.

If you're curious about the Discord, or simply fancy talking markets with people more interested in the process than the payout screenshot, drop me a message.

Anyway, before the algorithm marks me down for using more than 280 characters, have a great weekend, everyone.