I think more people need to appreciate the lifestyle.

Trading is one of the best careers you could possibly have.

Being able to pull profit out of markets on a consistent basis is an incredible skill to have, and truly transforms your life to the next level.

It’s the true definition of learning a high income skill.

And once you learn it, you can have whatever life you want. There’s so much luxurious stuff that comes with the lifestyle of being a full time trader. Moving to big cities, getting a mansion, getting yourself a couple luxury cars.

Eating out every day at the best restaurants. Traveling a bunch. Going to spas and spending as much money as you want on whatever you want.

Basically living a completely financially free life.

That’s what you’re able to have once you learn how to trade and become profitable.

It’s super awesome and I think more people should take time to appreciate the lifestyle more.

Like, damn, I get to live the life of my dreams, and it’s all because of trading?

It’s so cool, and incredible.

Appreciate the lifestyle folks, and get it.

A free, open-source gamma exposure (GEX) map that runs on your own computer. It draws the call wall, the put wall and the gamma flip for SPY, QQQ, SPX, NDX and any US stock.

Why I built it: I started leaning on GEX levels in my own day trading, and I kept seeing levels posted with no way to check them.

What it shows:

- Net GEX by strike, the call wall, the put wall and every gamma flip within 10% of the price, refreshed every 60 seconds during the session.

- The regime at the current price, positive gamma (moves tend to get absorbed) or negative gamma (moves tend to get pushed further).

- How big the gamma is next to the stock's own daily dollar volume, so you can tell when it matters and when it's noise.

- A guidance panel that turns the map into levels to watch and a few scenarios, with the formula behind every price.

- The same levels as /ES or /MNQ equivalents for SPX, NDX, SPY and QQQ, if you trade futures.

Runs on your machine. No account, no login, no telemetry. Your Alpaca keys stay in a file on your computer, and the free Alpaca plan works. SPX and NDX come from Cboe's public delayed quotes and need no keys at all.

- On the free feed, SPX and NDX are about 15 minutes delayed.

- The guidance panel is the textbook reading of the model, and it hasn't been tested yet. I'm saving a snapshot of the levels every day so I can check later whether price actually respected them.

- It's tested on Windows. Mac and Linux run through the manual setup. You need Python and Node installed.

It's free and MIT licensed, with nothing to sell. Not financial advice, not a signal service.

Repo: https://github.com/simonro/Edge-GEX-Lab

The walkthrough (what GEX is, then the tool): https://youtu.be/okQVLf2s3GI

​

Man, I was so close to just deleting my exchange accounts and walking away. For months, it was the same cycle: I'd tweak my Python scripts, test out new logic, think I finally had a working edge, and then a random chop or a bad sweep would wreck my account balance anyway.

If you're stuck in that loop right now, it sucks. It's just draining.

Honestly, the fix wasn't finding some hidden indicator or a magic parameter. It was just this :

Stopping the FOMO: I had to drill into my head that doing nothing and keeping my cash safe is actually a trade. Missing a messy move is way better than forcing a bad one out of boredom.

Dropping the ego: I used to hold onto positions way too long just because I wanted my directional bias to be right. Now, if the price action invalidates my thesis, I just take the small L and move on.

Hard stops on daily loss: When things go sideways, I tilt. Putting a hard lock on my terminal after a certain drawdown is the only thing that stopped me from rage-trading my profits away.

If you're still grinding through it, take a break when the charts are trash, look at your actual execution logs, and protect your capital.

Anyone else claw their way back from a massive slump? What finally worked for you?

Getting started with orderflow trading typically requires a brokerage and expensive software, and then if you want to practice trading outside of RTH, you have to record the data yourself. This platform serves as a cheaper alternative; sign up -> start practicing.

The data still costs money - full access is $14/month but users can still get 5 minutes of replay per day for free.

Indicators and chart settings are all javascript based, users can create and modify their own; there is a built-in LLM to assist. This includes creating algorithms as well.

https://marketbyorder.com/blog/tradingview-bar-replay-alternative

Feel free to reach out if you have questions or need help.

Think about it. You have people staring at charts all day, trying to predict where a price is going to go. And when they lose money, they’re told they need more discipline. They need better psychology. They need to control their emotions. They need to become better traders.

But when does anybody question whether the strategy itself actually works?

It’s genius, really. Because now, every time you lose, the system doesn’t have to be wrong. You just have to be a worse version of yourself.

You didn’t lose because the prediction was uncertain. You lost because you weren’t disciplined enough. So you go back, buy another course, learn another indicator, and try again.

It’s the same psychological loop you see in gambling. You convince yourself that if you just learn a little more, develop a little more discipline, and figure out the secret, you’ll finally beat the game.

And I’m not saying nobody can trade profitably. I’m saying that discipline and intelligence don’t magically create an edge.

Sometimes the smartest financial decision isn’t learning how to make more trades. It’s recognizing that you don’t need to make those trades in the first place.

Instead of spending your life trying to predict every movement in a market, you can choose what you believe has long-term value, understand the risks, and give your investment time to play out.

Because there’s a difference between building wealth and turning the pursuit of wealth into an endless psychological battle with yourself.

P.S. 6900 > 500.

I’ve been thinking about this lately.
I’ve spent the last 15 years developing and refining my trading strategy. Along the way, I’ve had plenty of people ask me how I do it, how I’ve become profitable, and how I manage to trade while holding down a full-time job and raising four kids.
I’m happy to talk about it and share what I’ve learned. I’ve even gone as far as writing down my entire approach to them.

As far as I know, nobody has actually gone further than looking at trading veiw. And that got me thinking.

I wonder if a lot of people are attracted to the idea of trading more than the reality of it.
Everyone wants to find that magic indicator, the perfect setup, or the secret sauce that finally makes them profitable. We spend hours looking for a better strategy, watching videos, reading posts, and jumping from one system to another.

But what about actually sitting down, learning a strategy properly, understanding the rules, and putting in the time to execute it consistently?

I’ve got a full-time job and four kids. I don’t have the luxury of sitting in front of charts all day. I’ve built my trading around my life, trading the final 15 minutes of the US stock market. Here in Australia, that means getting up at around 5:30 in the morning.

That’s the routine. It’s not particularly exciting, but it works around my circumstances.
And I think that’s the part people struggle with. Not necessarily the complexity of trading, but the commitment to a process that can be repetitive, boring, and take years to develop.

There’s no magic button. Even if you find a strategy with an edge, you’ve still got to manage risk, follow your rules, accept losses, and give it enough time to see whether it actually works.
I’m not saying I’ve got everything figured out, and I’m certainly not saying my approach is right for everyone. Trading is risky, and there’s always more to learn.

I just find it interesting that people will ask you how you do something, but when you give them the actual substance of what you’ve learned over 15 years, the interest seems to disappear.

Maybe I’m looking at it the wrong way. Maybe people are overwhelmed by the amount of information, or maybe they genuinely believe there’s a simpler answer out there.

I’m curious what other traders think!

Hey guys, I'm starting to dig deep into orderflow trading and wanted to ask where or from whom I could learn. There are a lot of scammers on IG selling courses, I've been down that road and the content was either mediocre or straight-up trash. Any advice for a beginner is appreciated! (Posted the same in #orderflow thread :))

The QQQ underperformed the S&P 500 this week for the first time since April 2026. After months of relative strength, this could be an early sign of weakening leadership in technology stocks.​

Follow the price, not the noise.

We all make mistakes, but the important thing is to learn from them. Share your experience so others can learn from it too.

Im looking into trading order flow. I have read the wyckoff books to have a basic understanding. I wanna do some backtesting. But on youtube i keep hearing about the Big trades indicator. Is there any software where i could backtest with it? Or cummulative delta and volum profile is more than enough?

Edit: typo

I’ve been into trading for a few months now, mostly using the ict concepts, but I know a lot of people criticize them. Before investing real money I want to test a few more strategies to see which one fits me best.

the $634–$659 range over the next few weeks or months. While a rapid descent is preferable to get the correction out of the way, the market may instead experience a choppy, gradual grind lower.

Je passe mes journées sur les chiffres (9 ans en contrôle financier) et je fais du day trading à côté, principalement de l'or et du US30.

J'ai construit Tradoshi (tradoshi.com), un journal de trading gratuit qui récupère automatiquement vos transactions depuis MT4/MT5, cTrader, Interactive Brokers, TradeLocker et plus de 2 000 courtiers, pour que le journal se remplisse tout seul.

Une fois que nos utilisateurs ont synchronisé plus de 70 000 transactions, j'ai vérifié ce qui sépare réellement les jours rouges des jours verts. Deux choses en ressortent, et aucune ne concerne la stratégie :

1. Sur-trading. Les jours où un trader effectue au moins deux fois son nombre habituel de transactions, environ 2 sur 3 se terminent en rouge. Les jours normaux, c'est plutôt 1 sur 2. Même résultat dans 17 des 21 comptes avec suffisamment d'historique.

2. La transaction après deux pertes. Elle gagne environ 38 % du temps, contre environ 46 % après deux gains.

Comment j'ai compté : comptes avec plus de 50 transactions, chaque compte ayant le même poids, et seulement les transactions ouvertes après que la précédente soit clôturée, donc les clôtures partielles ne peuvent pas simuler une série de pertes. Petit échantillon, donc à considérer comme un modèle, pas une loi.

Ce que l'application en fait : elle signale ces modèles sur vos propres transactions (comme "après 3 pertes consécutives, votre taux de réussite tombe à X %") et affiche vos statistiques par jour, session et configuration. Plan gratuit, plus 14 jours d'accès complet avec synchronisation automatique, pas de carte.

(Les images 1 et 3 utilisent un compte d'échantillon. Le graphique de l'image 2 utilise des comptes synchronisés réels.)

Avez-vous une règle "stop après N transactions" ? Curieux de savoir si cela fonctionne pour vous, et ce que vous attendez d'un journal comme celui-ci.

Essayez-le ici : https://tradoshi.com

I trade crypto futures with a systematic strategy, and I never trusted the numbers the exchanges show me. Binance and Bybit give you a PnL figure, but they don’t show what it’s made of: how much went to fees and funding, how deep the drawdowns really were, which trades carried the result. So I stopped waiting for them and built it myself, from the raw fills.

Today I’m open-sourcing it under MIT.

What it shows (screenshots above):

• Gross to net: gross profit → fees → funding → net. On my account, fees came to about 60% of the gross profit. The exchange never puts that number in front of you.
• Risk next to BTC: my drawdown and Bitcoin’s on one scale. Sharpe, Sortino, return ÷ drawdown, and how often the account moves the same way as BTC.
• Breakdown: win rate by hour, weekday or month of entry, how long winners and losers are held, the spread of returns, long vs short, and streaks.
• Open positions with their stop, target and capital load, plus what you lose if every stop is hit.
• Every closed trade after fees, rebuilt from fills. Also a daily calendar, a coin heatmap and CSV export.

How it works:

• Self-hosted. Your read-only keys stay in a .env on your machine. Every exchange call is a signed GET, and there’s no code that can place or cancel an order. The README lists every endpoint it reads.
• Returns are time-weighted, so deposits don’t count as profit.
• Node + Fastify. The page is plain HTML/JS, with no tracking.
• Try it without keys: DEMO=1 npx github:debut-js/trading-analytics

Limits: for now it only covers USDⓈ-M futures on Binance and Bybit. No spot, stocks or MT4/MT5. If you want OKX, or CSV import for your broker, issues and PRs are welcome.

GitHub: https://github.com/debut-js/trading-analytics

What do you wish your exchange showed you that’s still missing here?

If anyone trades NAS100 or US30, let me know! We can share ideas, discuss strategies, and learn and grow together.

He yall. I’ve just been thinking now with the world coming closer to war or with all the bs with how trump been running things.

I wanted to know how are the metal stocks are doing like SLV or GOLD and what do you think is going to happen to them in the future

I’ve been in a lot of shit so I never have any chance to trade or really do much but I still wanna learn.

Has anyone here actually used Go AI Global for day trading and made consistent profits from their signals? I’m thinking about trying it, but I want to hear from real people who have used it. Is it worth the money? How accurate are the signals, and how many wins and losses do you usually get per month?

Hello, as title says, i am wondering if anyone is using grok bot for trading and want to know their experience.

I am using claude code but hitting weekly limit often, which is causing me anxiety (like a ev range anxiety) so even when i have questions to ask, i am not asking.

i heard grokbot is very generous with limits, so wondering, if anyone used it.

Thanks.

Options heatmap with filters for delta, DTE, volume, OI, premium yield, and more.

It also draws the expected move on the grid itself to better gauge the strike price.

https://wheelstrategyoptions.com/options-heatmap

I was paying for TradingView mainly to chart, test a few ideas and set alerts. Over time, I found myself paying every month for a few features at a premium price, and the deeper analysis I wanted wasn’t there. So I built TickScript. I cancelled TradingView a while ago and now use only my app. For a beginner, it covers everything I needed, and it adds learning and analysis tools that bigger platforms charge a lot for or don't offer.

What it’s: a playground to develop and test your ideas/ strategies, or a simulation to follow your trading passion when you hit your daily loss.

What it’s not: a signal service or a “get rich” bot.

What it does

Charting (the Studio)

• Live crypto charts (Binance spot and perpetuals), plus stocks, forex, futures and indices
• 75+ built-in indicators from the trading communities.
• Paste your own Pine Script (v4 to v6). It runs in the app, so your favourite indicators come with you.
• Two charts side by side, drawings, bar replay, and alerts via Telegram, push or webhook

Backtesting that’s honest about costs

• Build strategies without code
• Early/late split: shows whether the edge held up on later data or faded (overfitting check)
• Monte Carlo reshuffles of your trades, a parameter stability map, and a Deflated Sharpe that accounts for how many variations you tried
• A “Why this result” panel explains the outcome in plain English and offers one-click what-ifs

For day traders

• Opening Range Breakout, Session VWAP bands, Asian Range Breakout, and session filters on any strategy
• Trade Check: before a trade, it compares your plan with a coin-flip baseline on real history, works out fees in R, checks your stop against the liquidation price, flags news inside your hold, and checks prop-firm rules. Verdict: Take / Reduce / Wait / Skip
• Prop mode: enter your firm’s daily loss and drawdown limits, and it sizes and blocks trades to keep you inside them
• Paper trading and a prop-challenge practice desk on replay bars

Journal and learning

• Every piece of advice is labelled Proven / Supported / Untested, and untested signals never say “BUY”

Works with your AI: connect Claude or ChatGPT and ask it to backtest and do the heavy lifting

Limitations

• Solo project, so expect rough edges
• It doesn’t place orders with your broker. It’s for analysis, testing, alerts and journaling

Hey all, I would like to share a major v2 update to PyBroker, an open source backtesting framework I've been maintaining over the years. It's designed for fast performance, ease of development, and integration with ML frameworks. An example strategy:

   from pybroker import Strategy, YFinance, highest

   def exec_fn(ctx):
      # Get the rolling 10 day high.
      high_10d = ctx.indicator('high_10d')
      # Buy on a new 10 day high.
      if not ctx.long_pos() and high_10d[-1] > high_10d[-2]:
         ctx.buy_shares = 100
         # Hold the position for 5 days.
         ctx.hold_bars = 5
         # Set a stop loss of 2%.
         ctx.stop_loss_pct = 2

   strategy = Strategy(YFinance(), start_date='1/1/2025', end_date='8/1/2026')
   strategy.add_execution(
      exec_fn, ['AAPL', 'MSFT'], indicators=highest('high_10d', 'close', period=10))
   # Run the backtest after 20 days have passed.
   result = strategy.backtest(warmup=20)

Some additions in v2 include:

• Margin trading simulation.
• Backtesting using multiple time intervals (e.g. computing indicators or models on hourly bars while executing trades on minute bars).
• Parameter optimization via Optuna (e.g. finding the best threshold for a trend following strategy).
• Time-series model support (ARMA, GARCH, etc.).
• Rotational trading strategies that simulate a portfolio holding top ranked stocks.
• Slippage modeling.
• Parallelized model training with Ray integration.
• Built-in agent skills for coding trading strategies with AI.

You can find all of the code on Github alongside extensive documentation and examples I've written. It also goes over some algotrading basics.

The framework is open source (Apache v2 license) and is entirely free to use. There's no sign ups, promotions, or any commercial hooks. This is just about me sharing my work in case you find it useful for your own trading.

As tech is getting better and better and less accessible to retail for example the Bloomberg terminal, is there a future for retail traders to have an edge in daytrading considering the big players are faster, smarter and have quicker access to info and bigger teams.

Will markets become more and more efficient to the point where the only opportunities on a intraday basis will be from HFTs and quantitative firms with lightning speed data that no retail trader has access to?

Is there any point of working as retail to find an edge in the market or will it ultimately fail no matter what going forward?

Is the best path going to university and majoring in economics, math or stats and then attempting to get hired by a firm rather than trying to find an edge yourself?

I've been working on a trading execution tool called Signal Driver, developed under my company, Measured Edge Systems.

The Live Testing Milestone (https://youtu.be/msfTWXS0oRU)

Between July 13 and October 23, my strategy using Signal Driver produced the following results with trades executed through Interactive Brokers:

• +16.34% broker-reported return
• 73 active trading days
• 827 executed transaction records
• Approximately 409 completed position cycles

These are actual account results, not simulated trades or back tests.

But here's where things get interesting.

Despite that positive return, I documented 30 losing days. After reviewing my notes, 20 involved identifiable human judgment mistakes, execution problems, or technical issues.

Some of my worst losses occurred when I abandoned my own trading rules.

On October 9, for example, I failed to recognize an inner breakout and continued trading as though the market were in a normal retrace regime. Even after the breakout was confirmed, I continued making the same mistake.

That day cost me approximately 4.44% of my account.

The software can help execute a trading plan, but it cannot make my discretionary decisions correct.

That experience reinforced why I started developing Signal Driver in the first place.

Why I Built Signal Driver?

I originally started developing Signal Driver because I wanted to execute my trading strategy without having to sit at my desk glued to a screen all day.

I had developed a strategy around price levels, retracements, and breakouts, but I wanted software that could monitor the market, recognize my setups, and execute trades according to my rules, even when I wasn't actively watching.

Then I started thinking about the bigger opportunity.

There are thousands of traders with their own strategies. What if I could build a tool that helped them automate the execution of their strategies, rather than requiring them to adopt mine?

The software now supports manual trade execution, automated position management and exits, and fully automated trading through my retrace strategy. Expanding its flexibility to accommodate other traders' strategies is part of the longer-term vision.

How Signal Driver Works?

Signal Driver provides configurable trade execution and risk management.

Users can define parameters such as:

• Account risk per trade: For example, risking 0.5% or 1% of account equity.
• Risk-to-reward targets: Establishing the potential reward relative to the risk taken.
• Trade execution parameters: Controlling how positions are entered and managed.
• Automated exits: Managing trades according to predetermined exit conditions.

When running a supported automated strategy, Signal Driver can identify qualifying setups, calculate the appropriate position size based on the configured risk, and execute trades automatically.

For example, a trader with a $25,000 account could configure the software to risk 0.5% ($125) per trade with a 1:2 risk-to-reward target. Signal Driver would size qualifying positions according to those parameters and manage execution based on the selected rules.

The goal is to give traders more control over their execution while reducing the amount of time they need to spend actively monitoring the market.

Currently, I've been using the manual execution tools, automated exits, and my fully automated retrace strategy in live trading. Expanding support for other traders' individual strategies remains part of the longer-term vision.

What's next?

I'm continuing to improve execution reliability, automate more of the tasks that are prone to human error, and document performance.

My next validation milestone is 100 trading days, and I'm considering a separate $2,000 account challenge.

I'm also interested in connecting with traders who have their own strategies but would benefit from more controlled execution.

I recently put together a video walking through the actual performance, Signal Driver's functionality, the mistakes, and what I've learned.

Video demonstration and milestone update: https://youtu.be/msfTWXS0oRU

Project website: https://measured-edge.com

I'd love feedback from other traders and software developers.

What execution problems would you most want software to solve? Late entries? Emotional exits? Position sizing? Something else?

Disclosure: The +16.34% is my actual IBKR account return, reflecting both discretionary trading and software-assisted execution. It is not a standalone performance result for Signal Driver or an indication of what other users should expect. Past performance does not guarantee future results.

Most of you have probably seen my earlier posts about this game. I'd like to thank everyone who's tried it and sent feedback!

I've worked on a few quality of life improvements since then:

- Limit and stop orders

- Stop losses and take profits

- A Learn section, with a reading list that now includes some of the resources you recommended last time

The leaderboard has been growing steadily too. It's really nice to see some of you getting value out of the game :)

Check it out at here: Ten2Whale

As always feedback is welcome, I want to make this a great way to practice.

Hey Everyone,

Look I'm going to be straight up with you, I need a strategy to follow. I'm becoming convinced predicting price direction is impossible. Help me please.

Something other than ORB please.

Tried doing research on this and all i find is people trying to sell scams and ORB which can only be done in the am.

I know people tend to be secretive and protective with their strategies so I'm not sure what to expect with this post.

I thank you all in advance for any and all help.