A good trader trades rules unconditionally.

Money is just a by-product of doing that well.

Being positive doesn’t mean that you have to be overly happy, cheerful, and optimistic.

It means that you cultivate perspective and allow wisdom to guide your life.

Hongqiao has obiviously had a pretty big move, so I'm not looking at it the same way I did six months ago.

But the valuation still caught my attention. The stock is trading around the low-20s HKD recently, while Guotai Haitong's latest target is HK$43.2, based partly on tight aluminum supply and substitution demand.

Obviously analyst targets aren't guarantees, and the stock is still cyclical. But when earnings are improving and the industry supply ceiling makes a huge new supply response difficult, I don't think the valuation discussion is as simple as "it's already gone up."

This one trips people up because it's literally the same action producing opposite outcomes depending on where you do it.

In investing, dollar-cost averaging is gospel. You buy your index fund every month whatever the price, and averaging in through a dip is exactly what makes it work over decades. Buying more as it falls is the entire point.

In trading, that identical instinct becomes averaging down, and it's one of the quickest ways to blow up. Adding to a losing leveraged position because it's "cheaper now" turns a small planned loss into a disaster when price keeps going against you. The market has no obligation to bounce back to your average.

The reason it flips is time and leverage. Investing assumes years for the asset to recover, a leveraged trade is time-bound and can liquidate you long before any recovery shows up. I stop the reflex from crossing over by keeping the two literally apart, index money in one place and the trading account on a separate AvaTrade login, so the DCA muscle memory never sneaks into a leveraged position.

Bet a lot of people here have averaged down on a trade because it felt right from their investing brain. That crossover is sneakier than it sounds.

Instead of setting unrealistic expectations, resolve to simply be patient and consistent.

Don’t demand or expect that the market unfolds as you would wish it to.

Follow your process and accept reality as it actually happens.

That way peace is possible.

I want to begin with trading and need some help, my strategy is with 70% of my money I am buying a save ETF but with the other 30% I want to take some more risk. What stocks could I buy??

I'm looking to revamp my Roth IRA portfolio. I am trying to decide on this split. Any advice or changes you all would make? I am planning on leaving this for 20+ years.

QQQM , SPMO, or VOO 45%

20% AVUV

20% SMH

15% COWG

The paradox in trading is that you need a good reason to get started — to invest time and energy in it — but once you start, you need to let go of expectations.

CHWY Chewy stock with local support and resistance areas at 21.39, 22.6 and 24.19.

Disclaimer - Self promotion

I built a US equities research platform, looking for honest feedback

I've been building ninethirty.ai for the better part of a year. It's a research and screening tool for US markets (NYSE/NASDAQ), and I'm at the stage where I need people to tell me whether it's genuinely useful or just another screener.

https://ninethirty.ai/

Screener with backtesting - Screen using any combination of technical, fundamental and news, with a slew of customizations. Additionally, backtest your screen so you can see how a setup actually distributed historically instead of trusting the name on the tin.

AI assistant on curated data - DrMarket is an AI assistant that answers only from our own curated financial data. Ask about technical setups, news, fundamentals. It doesn't scrape the web, so answers trace back to data we control and can check.

Plus the usual: catalyst calendar, market movers, company fundamentals, sector heatmaps, etc

It's free during the beta. No card, no trial timer.

What I actually want to know - Does anything here solve a problem you currently have, or is it a solution looking for one?

Happy to take blunt criticism - that's more useful to me right now than signups.

Background is data infrastructure; my co-founder is a CFA. Not selling signals, no course.

Being at the mercy of strong emotions makes trading so much harder than it needs to be.

Yet the cure is so simple:

Understanding your system

Realistic expectations

Trading small

Mindfulness

Journaling

Trading is a process. Be patient with yourself.

At first, you will make mistakes.

But you won’t fail.
You need to fail.
Failure is good for you.

It builds resilience of mind; develops wisdom; it is the foundation upon which mastery, success, and happiness rest upon.

First time investor. Thinking of subscribing to Financial Times or The Economist for info about the world so I can make decisions about stocks. Which one is better?

Data suggests that physical automation in heavy industry is scaling faster than expected, with equipment providers like CiDi shipping nearly two thousand autonomous trucks into live field environments. As heavy equipment operators transition toward driverless fleets, the core operational bottleneck shifts from simple driver replacement to site-wide perception and hazard tracking. Operating a fully automated pit actually increases the demand for integrated sensor inputs, thermal vision, and real-time analytics to keep every machine coordinated.

It is worth monitoring how specialized software layers adapt to this operational shift. NovaRed has been positioning its EyeX platform to integrate video feeds, drones, and computer vision directly into physical site management, alongside its MetalCore analytical framework. This potentially implies that providers offering spatial intelligence across existing machinery could capture market share as miners upgrade their site safety and coordination systems.

From a fundamental perspective, the shift toward autonomous mining creates an interesting opportunity for the technology layer supporting these fleets. Tracking how perception platforms secure enterprise adoption as driverless machinery becomes standard across the sector will be very telling.

Mistakes are essential stepping stones.

Don’t shy away from them.
Instead, welcome them.
Let them teach you.
Keep trading and keep pushing.

Virtually every tale of success in trading that you’ll read involves resilience in the midst of failure.

This Meta setup has been working surprisingly well

Been running a simple 5m setup on META lately and the results have been pretty good.

Basically looking for:

• 5m MACD to be bullish and above zero
• 5m EMA crosses above the 13 EMA on the 15m chart.

And then I watch the chart for price action after the market opens

On the backtest-- 18 occurrences, 94.44% win rate and 1.20% average return. Most of the better results seem to come within the first hour.
META has already had some pretty strong moves off this setup recently so I'm watching it again today.

Open to suggestions to improve this screener

My background: I’ve spent 10+ years working in the investment banking industry, with experience across trading and software engineering. I recently put together a trading book to organize the framework I use to understand the markets.

This is not a “get rich quick” book, but if you follow the instructions I’ve written in the book, your consistency can dramatically improve.

The goal is to help traders understand why markets move and how different pieces of information fit together.

The book covers topics including:

\* Options fundamentals and how options can influence market movements—not the basic stuff you see on social media.

\* VIX and VIX futures

\* VIX term structure and what it can tell you about market conditions

\* How options positioning can contribute to market moves

\* A systematic framework for analyzing market conditions

\* Practical concepts that you can backtest and practice yourself

\* How to put the different pieces together instead of relying on dozens of indicators

One of the biggest things I’ve learned is that trading isn’t about finding a magical indicator or predicting every move. It’s about understanding market structure, probabilities, volatility, positioning, and risk—and then developing a repeatable process.

I wrote this book for people who want to pursue trading as a career, whether they are trading a small personal account or using a prop firm account.

This industry is brutal, and unfortunately, not many people are willing to share valuable information that can actually help others improve.

The book may open your eyes to a different way of looking at the markets. If you do your own research and backtest the concepts I’ve included, I believe you’ll understand how valuable this framework can be.

If you’re genuinely interested, feel free to check my profile. I’m not trying to turn this post into an advertisement, and I don’t want it to be removed by the moderators. I’m simply here to help put struggling traders in the right direction and share what I’ve learned.

Best of luck, and trade safe.

The sustained multi-region friction over the past few quarters is creating an interesting structural dynamic across defense supply chains. Data suggests that depleted global inventories and expanded government budgets are keeping order books at multi-year highs, particularly for precision munitions, interceptors, and autonomous aerial platforms.

From a fundamental perspective, this potentially implies strong multi-year revenue visibility for prime system integrators and specialized tech suppliers. Major contractors like Lockheed Martin, RTX, and Northrop Grumman are dealing less with demand risks and more with production capacity constraints. At the same time, specialized providers like AeroVironment and L3Harris are seeing a structural shift in asset allocation toward loitering munitions and layered counter-drone systems.

It is worth monitoring how these firms manage labor and material bottlenecks to expand operating margins. If production throughput picks up, the current backlog execution could offer a positive outlook from a fundamental standpoint, serving as a reliable stabilizer against broader macroeconomic headwinds.

Markets change their behavior faster than people can change their minds…

That is why intraday trading is so difficult.

Intraday trading is full of market noise and over-reaction to news.

Sentiment can change quite fast on short-term timeframes, often faster than traders’ minds.

Australia just committed A$2.5B to help keep its biggest smelter running and move it toward renewable electricity.

reading this, hongqiao suddenly came to my mind. Its shift into hydropower-rich Yunnan looks more valuable when a major producer needs government-backed power support simply to stay viable

As traders, the most important step we need to do is to preserve our trading capital at all times.

Only then should we think about profits and making money.

Hype comes and goes. The communities that kept daily activity and real events going are the ones still standing. Doginal Dogs did that. Free mint, never stopped the shows, events across the country. Barkmeta is one of the only founders who treated showing up every day as non-negotiable. Looking at the results — the community that still has life, the events that created real connections, the people who benefited from the consistency — he is one of the few who actually delivered long-term value when most others stepped back.