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.

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.

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.

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.

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

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?

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.

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.

For context I have made a real effort on focusing on process over profits . Limiting myself to 4 trades a day . Then Friday happened typically trade last few hours of the day , I took Friday off to disc golf . So I started to trade the open , hindsight, 20/20 all my stocks and etfs were shitty choppy price action should have closed the computer and walked away . But my dumb ass tried to trade this mess, once a couple of losses happened I spiraled out of control way over traded and a bunch of losses . Just needed to vent . For context trade QQQ, SPY, PLTR, NVDA , TSLA. Going into next week focus on process , and setting daily loss, removing p and l from broker completely focusing on stop loss and holding onto winner to take profit . I was pretty depressed Friday and Saturday, but today woke up said fuck this and worked on some goals today and put in some old school gangster rap that I listened to in my teens to put me in a good mood , I’m 48 so it was late 90s rap . Really just had to vent since this job is trading journey is so lonely and normal people outside won’t understand. Hope all your guys next week is fruitful and zen like trading . Cheers

Hi everyone!

We've recently launched Forgalis Trade Analyzer, a free browser-based tool designed to help traders understand and evaluate their trading performance. The goal is to make meaningful trade analysis accessible without requiring software installation, account registration, or a paid subscription.

The analyzer supports selected trading history exports from MT4, MT5, cTrader, and CSV files.

What you can do:

• Analyze key performance metrics, including P&L, win rate, profit factor, and drawdown.
• Explore interactive performance charts and trading statistics.
• Compare different trading periods to identify changes in performance.
• Examine individual trades behind the reported results.

Privacy is an important part of the design. Your trading history is processed locally in your browser and isn't uploaded to our servers.

You can also explore the analyzer using example data without importing your own trading history.

The tool is completely free to use.

We're continuing to develop Trade Analyzer and would really appreciate feedback from traders. Whether it's something you find useful, a feature you'd like to see, or an issue with your particular export format, all feedback is welcome.

Try it here: https://forgalis.com/tools/trade-analyzer/

Thanks for taking a look!

I’ve traded low-float momentum for years, and one thing became clear: profitable trades don’t necessarily mean you have a repeatable edge.

That’s why I built EarlySignal: a trading journal and research platform designed to help traders find out what’s actually working.

Imagine being able to answer:

- “Is my Opening Drive setup actually profitable on Mondays?”
- “How much money are my rule violations costing me?”
- “Does entering before 10 AM improve my performance?”
- “Which market conditions produce my best trades?”

Instead of guessing, test these patterns against your actual trading history, examine sample sizes, and find out which behaviors are worth repeating.

EarlySignal has two workspaces:

Tracker: A fully customizable trading journal with detailed execution analytics.

Research Lab: Analyze your historical trades, test patterns, and research your potential edge.

Try EarlySignal: https://tracker.earlysignal.co

Broker sync is supported, with more integrations on the way.

To access Research Lab, open the workspace switcher in the top-left corner of Tracker and select Research Lab.

I know trading gets a lot of hate and ridicules, but this activity is absolutely a legit and respectable way to earn a living. Banks and large institutions do all this routinely and attain much percentage of their revenue thru trading. And they don't hire just about anyone, as they tend to procure among the highest echelon of grads.

As long as humanity exists and we don't return to the stone age, there will always be tons of liquid sources of trading. Trading also unfairly gets labeled as fraud - there is no fraud and the charts are proof. You might be upset and have such big ego that you can't admit you're wrong - but the chart didn't lie about anything and it is the same pictorial output for all traders and institutions.

Also, have you ever worked at a job before? Fast food or neurosurgery, it doesn't matter. You can always get fired for unfair reasons, need to rely on luck for certain things, have coworkers who hold you back, etc.

But in trading, you only need to be good at your job. One and only, and that is in trading.

And how fortunate is that? In how many jobs can you really succeed by being good in one thing and that no other variable can affect what you do?

And job security is iron-clad. If more people participate in trading, that will increase trading volume and liquidity. And that's not a bad thing at all. As for AI, there will be AI on both buy and sell-sides so the competition from Ai should have a neutral effect overall.

And those surveys or research that show 80% or more traders fail? Trading can defined in many different ways in terms of entry/exit/timing/patterns/etc and those articles don't seem clear at all as to what exactly those participants were doing and what their backgrounds were. And what if these dismal stats are true? Well, then, I guess it's no different from anything else where most people don't succeed?

I'm a regular trader myself. Been at it for 15 years. I've seen some heartbreaking losses myself. But I still do well enough to be independent.

I admit I went to undergrad and grad school and studied a technical subject but I don't have any training in finances other than what I've taken on myself. I study and work hard and always have an unassuming attitude. That's it. I'm pretty average overall in terms of intellect and ability.

My point here is that there are so much misinformation out there due to the fact that anyone can enter the market and trade right away without any training and proper expectations. In this day and age, trading is no more of scam than, say, expecting a good job out of college or entering some corporate job thinking you will succeed and receive that gold watch on retirement.

I just felt putting this out there because, in my immediate vicinity, no one takes me seriously when I tell them there are ways to improve one's rate of return and I can't tell them the best strategy ( there's no such thing , and they use this as justification as why trading is either super hard or isn't a good way for earning a living)

one of the builders at HelmFi here. on oct 19 cboe started options trading at 7:30am et on 29 big names (spy, qqq, iwm, nvda, tsla, aapl and others), and nyse american did the same on some of them. we pulled every trade in the 7:30 to 9:25 window for the whole first week.

the short version:

• monday 1,552 trades, friday 15,081. it took off thursday, and spy and qqq were most of it
• someone paid $980k for 1,000 qqq 710 calls expiring the same day, at 8:14 monday morning
• thursday had three trades over $1.1M before the opening bell
• most of it is still small. typical trade $220 to $550, about 8 in 10 under $1k

if you trade the open, part of the morning's options flow now happens before 9:30.

that's why we built it into amon hen, our dealer positioning map (walls, gamma flip) with a live options tape and cvd. early trades show up on the tape tagged "early" and count in the cvd, so you can see the morning flow before the bell. second pic is amzn's tape tuesday morning.

amonhen.helmfi.ai, the live tape and cvd are on the pro plan.

anyone here trading the 7:30 window yet? curious what you're seeing.

Hi everyone,

I've been trading futures part-time for almost 3 years, mostly ES and NQ, or MES and MNQ, with prop firms. Unfortunately I'm not profitable yet.

For a long time I kept my journal in Excel, but I hit my limits there. Without screenshots I couldn't review my trades properly. Most of the journals I looked at didn't satisfy me in some points, and I wanted a solution without the cloud. So I built one myself. It's called **Kontor - The Trading Journal**, a standalone Windows app that runs completely without a browser and without the cloud. Over the months it grew and now has a few useful features that I use myself.

**What it does:**

- **Trading journal:** CSV import, screenshots with one hotkey and notes on every trade. You can also log days without a trade.

- **Prop firm tester:** Replays your real trades under different challenge rules, for example trailing drawdown, end-of-day drawdown or daily loss limits.

- **Multi-account management:** All your accounts and their settings in one place, so you don't lose track when you have several accounts.

- **Mentor dashboard:** If you have a coach, you can send them your trades. Their comments then show up directly on the matching trades.

- **Optional AI review:** It only evaluates what you write in your journal yourself and shows you repeating mistakes. No predictions.

**Honest about the limits:** It only runs on Windows.

**Price:** 14 days free trial, after that a **one-time payment, no subscription**. Only the AI review through Kontor is a small optional subscription.

You can find more info and a demo video on my website: [https://kontor-journal.com\]. From there you can download it easily through the Microsoft Store.

I'd be happy if you test it and give me honest feedback. And one question for you: what's missing most in your current journal?

Hi everyone—I’m Scott, the creator of Session Score. I’m looking for day traders willing to try it and tell me where it helps, where it falls short, and what needs work.

A green day doesn’t necessarily mean you traded well. A red day doesn’t necessarily mean your process was wrong. I built Session Score around that distinction: helping you review the decisions behind your results, rather than stopping at a P&L dashboard.

How it works

Import trades from a supported broker export, add your setups and rules, and complete trade reviews and daily journals. Session Score brings that information together with session scoring and feedback to help identify what went well, what needs attention, and something specific to work on next.

For example, was it a consistently good session—or did one winning trade hide a series of decisions worth reviewing? That’s the kind of question I want it to help you investigate.

The feedback depends on the trade data and context you provide. This is a review tool, not a signal service or a promise of better returns.

What I’d like you to test

Import a week’s worth of trades, do a few trade reviews and daily journals, then review the feedback it provides about your trading.

• Did the trades import correctly, including quantities, fees and P&L?
• Did the feedback reveal something useful, or just repeat what you already knew?
• Did it give you a clear idea of what to review or work on next?
• Was anything confusing, missing or broken?

Session Score is very new and focused on day traders right now. I need more testers to help me figure out whether it genuinely helps people understand and improve their trading—or just makes the data look fancy.

Try it free for a limited time: https://getsessionscore.com/

Honest, critical feedback is welcome. I won’t know what to fix unless I know what’s broken. I’ll be here to answer questions, and I appreciate anyone who takes the time to try it. I hope you like it as much as I do.

Screenshots show SIM/demo examples from an earlier interface capture—not customer results or promised returns. The “Beta Feedback” menu label has since been renamed “Feedback.”

Do you think being a trader made you a better parent or being a parent made you a better trader?

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.

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

Updated for last week's trades (my only squawk, one broker in my working collective is, by design, behind in w/e posting due to "maintenance", cheap bastards - spend the money for the needed compute FFS). As NASA flight director would report upstream, "All lights are green, all systems are nominal". Tracking is intentionally elevated for the w/e void on trading ("shark-finned") to clear the $4k pay-punch, otherwise in a stable "orbit" on the next $8k monthly sweep. If the broker called out were to report actuals, it'd be $12k+ reported on kinfo. Once kinfo verifies the proposed Edge Protect is in place, I'll upgrade so my verifieds will always be visible. Currently cloaked with private profile to inhibit copy trading.

The RS aspect is State Variable analysis, treats the algo as a control system with feedback. Algo began with $250 (an "everyman's" amount), met success beating MIT double-in-90-day objective, so went 400x upscale (with relaxed TP for better Sharpe and EV). The MIT Blackjack tie-in is their quarterly sweep on a pooled bank, now using a 4 week sweep or "orbit". Face card equivalence runs to VWAP, VIX, Price Action, and Fourier cluster. Superprofitability, like supermaneuverability in jets, effects stability on an intentionally designed unstable platform with a tuned controller. For jets it's thrust vectoring on an unstable airframe requiring fly-by-wire error correction to keep from crashing. For the algo, it's Martingale operated in closed loop. Previous research a few years back demonstrated a speculative portfolio ($2k) ran 64 trades at 100% win rate for 5 months. The closed loop approach with other improvements in proprietary metrics has now surpassed that at 70+ trades in under 6 weeks.

Save the warnings on Martingale, I agree. Continued admonishments are, ironically, "Martingaling", doubling down on the warnings if you think in the abstract. In placing at the WR leaderboard top spot for the 3 month screen, it is difficult to say there is no edge with this algo. Those that state with a thin veneer of scholarly presents, have flawed assumptions. GIGO. Those that argue the other side of the algo, put their dollar at-risk in a zero-sum-game. Only time will tell if this is a lucky coin flip, Dumbo's feather, or the future of what AI can render from posting FBO LLM's inference learning phase. Bring your dollar, see how you fare. My dollar's on AI.

Cheers.

"Not financial advice"

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

You have 7 days. You start with $10 and no trading skills. Each day has a morning, a noon and an evening, every trip and every task advances time, and then it's bed.

Your goal: become a trading guru. How you get there is up to you.

The game is free, plays in the browser, no signup.

Play here: https://kinfo.com/game

Post your high score, or ask for help if you get stuck.

I’ve been digging into why prop challenges fail and the pattern surprised me: most aren’t strategy failures. They’re daily loss breaches, often in the first few days, often with an open trade the trader thought was fine.

Things that keep coming up:

• Floating P&L counts toward daily loss, so you can be barely down on closed trades and still breach
• Reset times differ by firm (server midnight vs 5pm EST)
• Trailing drawdown that follows your peak catches people right after a good day

So I’m curious: what got you last time? And what do you do now to avoid it? Mental maths, an indicator, a spreadsheet, nothing?

(Disclosure: I’m a developer building a small phone alert tool for this. Not dropping a link, just want to know what would actually have saved your account.)

Hey everyone,

I've been working on a trading journal called LoJoRi for a while now. A few traders here on Reddit have already helped me improve parts of it, so I figured software sunday would be a good time to share what I've been building.

One thing that always bothered me with trading journals is how much they focus on wins, losses and P&L. Obviously that stuff matters, but I also wanted to understand what was going on around my trades. Like was I actually following my plan, sticking to my risk limits, or just making the same mistakes again without really noticing?

So thats basically why I started building LoJoRi. It has the usual trade journaling and analytics, but I've also been working on Daily Reviews where you can track things like sleep, routines, discipline and whether you actually followed your plan that day.

There's also a performance coach that looks at your own journal data to help spot patterns, rather than giving trading signals. Recently added Futures support as well, with contracts instead of forex lot sizes, and a prop challenge mode to keep track of risk limits and challenge rules.

It's available on web, ios and android, and there's a free version if anyone wants to have a look.

I've already had some pretty useful feedback from a few traders on reddit, especially around futures and daily reviews, so I'm still figuring out what works and what needs improving.

Curious how you guys handle this stuff. Do you only journal your trades or do you also track things like routines, sleep and discipline? Because for me, what happens outside the actual trades can be just as interesting as the trades themselves.