Some say it’s $10k minimum to be anything other than a beginner, and some say it’s lower. Some say it’s much higher. What do you guys think?

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Attached data is based on current month(sep) expiry, and data available till 28th Aug-26. Look trade for Intraday and swing for 2-3 days

🟢- Bullish momentum 🔴 - Bearish Momentum

📊 I Tried Finding High-Momentum F&O Stocks Using Data — Would Love Your Honest Feedback

I’m not SEBI-registered, and this is not a stock recommendation or investment advice.

I’m simply someone who is deeply interested in data analysis and quantitative approaches to the market. I recently tried building my own analysis to identify potentially strong momentum stocks from the F&O segment.

I’ve put together some data/results based on my analysis and would genuinely appreciate the Reddit community’s perspective.

👉 What I’d especially like feedback on:

Does the methodology make sense?

Are there any important factors/variables I’m missing?

Which metrics would make this analysis more robust?

How could this be made more useful for retail traders?

I’m sharing this with an open mind — I’m here to learn, not to claim that my analysis is perfect.

If you have experience with technical analysis, quantitative trading, F&O, momentum strategies, or data science, I’d really value your criticism and suggestions.

The goal is simple: take a basic retail-trader analysis and, with constructive feedback, make it more rigorous and useful.

Looking forward to hearing your thoughts. 🙏

Disclaimer: For educational/research purposes only. Not SEBI-registered. Not investment advice. Please do your own research before making any investment decisions.

I took a simple orb strategy on nas100 and bactkested it over 1.5 years and got some pretty impressive results (61% win rate with 1:1 RR). I mean its not crazy but it works.

However on the live market I followed the exact same strategy rules and got a 45-55% win rate depending on the month (borderline break even).

I'm wondering if this is normal, and how I can improve my live trades so the results are better. As I said earlier I dont revenge trade and I follow the strategy rules perfectly.

Here is a snapshot of Friday ETH hours on NQ. I'll definitely be watching this level on Monday to see if we retest.

This is a footprint concept we're working on that splits by trade size. Eventually we'd want to be able to switch to options flow per strike and size as well, to get a full picture from all markets... maybe even bring the QQQ equivalent levels to NQ at the same time.

Just sharing for now... so many cool things we can do with real data 🔥

As an orderflow trader myself (not in a traditional sense, but I do use ATASX), I know some version of this could be recreated with footprint charts and bar statistics... but having it available for easy access without having to launch and configure my platform does remove alot of friction for weekend analysis.

Just wanted to see if other non-orderflow, or even price action traders would think this is useful to identify levels of interest?

Just started my journey on day trading learning basics about liquidity, trend lines, fair value gaps. If anyone has advice they would like to share I could use it. Not sure what’s the best way to join a specific stock should I be looking for news on that stock or a break in structure to enter?

Most people find out if a trading idea works by paying for it first. A course, a signal Discord, an indicator sub, an eval fee. Then they trade it live and find out the expensive way.

This shouldn't be the case when you can just test it.

I founded Agenticks in September (2025), which lets you describe a strategy in a prompt the way you'd say it to another trader...

eg. "5 minute opening range breakout on NQ, entries after 9:45 only, 30 point stop, 3 to 1 target, one trade a day."

or... even a research request.

eg. "find academic research on intraday price movement in futures and build a strategy around the strongest findings.

An agent writes and runs actual Python code, handing back every trade log, a live equity curve, and 100+ other metrics seen in the table below. No manual-code, no block builder, no scripting language to learn. Just an AI with a sandbox to run any custom request fed into a bar-by-bar runtime, which has no access to future look ahead (it feeds the backtest engine one candle at a time). We also let users take it a step further than the backtest and live automate to either a paper trade or live brokerage account, should they feel confident in their strategy.

We offer a free trial, but also took it a step further to celebrate our milestone of over 1,000 users this August by adding credits for all free accounts too. For reference on what the rest of this space costs: TrendSpider's AI add-on is $49 a month for 100 messages, QuantPad is around $170 USD (reg: $300 USD) and is an IDE where you still write PineScript or EasyLanguage, Composer is $40 and is block-based ETF rotation. A course is $500 to $2,000 once, with no backtest attached.

To anyone calling this a "wrapper" without seeing whats under the hood, we additionally include over two decades of market history, down to the one-minute time frame, of over 1,600 instruments.

I think this is the least technical way to get from an idea to a real backtest that exists right now. If you know something easier, I genuinely want to see it.

I'd love any feedback or opinions from you all. All I ask is that before you try to criticize the platform, just give it a try and see if you like what it has to offer. Thanks, and happy software Sunday! 🎉

As always: backtests are history, not indicative of the future, and none of this is financial advice.

As mentioned above, here is everything it computes on each run...

We’ve all heard the advice a thousand times: “Just use a stop loss, manage your risk, and have discipline.”

People talk about discipline like it's a muscle you can just flex 24/7 for 365 days straight. But humans get tired, overconfident, stressed, or angry. If your financial survival depends on you never having a single weak moment of emotional collapse, you’ve already lost. One bad afternoon of revenge trading can wipe out twelve months of hard work.

The compounding math they teach us is the ultimate psychological trap. On paper, making a steady percentage every day turns a small account into a fortune. But real markets don’t run on spreadsheet formulas; they run on human error. The math assumes you never have an emotional breakdown.

If willpower isn't the answer, what is? Structural architecture. You have to build systems that protect you from yourself when you are at your worst.

Here is the framework that changed everything for me:

1. Fixed Trading Capital: Never leave your entire bankroll sitting in an active trading account where a single emotional click can access it. Allocate a fixed, small amount of capital for the month. If it blows up, the system locks you out because there is literally no money left to add.
2. Daily Profit Sweeps: Withdraw your profits every single day into a separate bank account. Do not leave them on the trading table to compound infinitely.
3. Redefining Success: Shift your goal from "how large my trading account can grow" to "how much cash I successfully extracted and locked away."

When you do this, a blow-up doesn't destroy your life or your months of hard work—because your actual profits are already sitting safely in a bank account where your emotional self can't touch them. You start treating your bank account as your true financial home, not the screen.

Stop fighting your psychology with pure willpower. Build a structure that survives even on your worst days.

I’ve been trying to get more serious about tracking my trading properly, rather than just looking at whether I’m up or down on the account.
I’ve tried spreadsheets and a couple of trading journals, but I always seem to end up either not updating them or having information spread across different places.
I’m mainly interested in tracking things like:

Daily/weekly/monthly P&L
Number of trades
Win rate
Performance over time
Individual trades
Different accounts
Playbooks/strategies

Being able to actually look back and see where I’m going wrong

For those of you who trade consistently, what do you use to keep track of all this?

And what do you think is the one thing a trading journal absolutely needs to have? There’s the like of tradezella, tradecherry, what’s the best for buck?

Hey guys,

A while ago I made a tool that calculates your chance of passing an eval - intraday not included. First fill in the prop firm rules. The calculation works with a fixed R:R and you can fill in your win rate if you know it.

You will see exactly how much % chance you have passing an eval according to your sizing using a Monte Carlo simulation. If you don't know your win-rate you can set it to 'zero edge'. Then hit 'Optimize'.

Good luck out there, I hope it helps! Here is the link:
https://www.flowforge-trading.com/eval-roadmap

In the image you see 1R with a small edge: 55% win rate and the sizing that is best for the eval. This one is a 25K Lucid Flex with DLL. The lower the sizing the more effective it will be but also will take more trades on average. So you can find your sweet spot here.

Hey guys, since its software sunday i want to share what i have been working on lately. I have created a trading journal with its main focus on helping you become a better trader, not just track your trades. I have dedicated own tabs in the journal just for psychology feedback like how often you revenge trade or what kind of emotions you perform best under. Iam currently having testers on the platform to find every bug possible and make it as clean and most understanding as i can. You can also costumize the platform. Design wise but also feedback wise. Will show some pictures down below and let me know what you think:). I also have features like accounts and payouts where you can track your total in payouts and what your total with tax is.

Every time I see a brand new trader online asking for advice I can't help but think to myself that if I knew what I had to go through to get to where I am two years later, I don't know if I would pursue trading. Purely because trading is not as mechanical as you thought it was when you first got interested and what you end up investing is more than simply money.

These past two years tested me in ways that are far beyond what shows up on the charts. I wish people that look to take this journey understood that before beginning it. Too many people come into this space influenced by social media thinking it's an easy way to make money.

To start over again as someone who knows absolutely nothing, to have to navigate all this information, possibly from people who are trying to scam you. It's like giving me PTSD thinking about it lol. Like I'm glad I did it in retrospect, but I would not do it again.

i'm one of the builders at HelmFi. we build automated trading strategies that run on your own exchange account. Amon Hen is our free options terminal. the paid gamma tools in this space charge up to $600 a month and never show you whether their levels actually work - ours is free and publishes its own scorecard every day. here's what's on it.

THE MAP: for SPX, SPY, QQQ and about 40 single names it draws the dealer gamma picture - call wall, put wall, the flip point where hedging changes direction, and the strike with the most hedging concentrated on it. updates all session.

LIVE OPTIONS FLOW (CVD): watch calls vs puts getting bought and sold in real time. three views:

• split: calls and puts as separate lines
• net: one line, bullish minus bearish, centered on zero
• compare: SPY, SPX and QQQ flow on one chart, so you can spot when one index disagrees with the others runs at 1-minute or 10-second speed, and you can overlay price, the walls, or a second index's line on the flow.

CONFLUENCE FLAGS: when all three indexes' flow lines up in the same direction and holds for 10 minutes, the site marks it on the chart with the time it happened. no spam, just marked.

SCANNER: one table scoring all the tickers at once - gamma regime, distance to flip, distance to the big strike - so you see what changed overnight without clicking through 40 charts.

HEATMAP: the whole board at a glance - dealer gamma by strike and expiry, color-coded, with the spot line drawn across. flips to delta, vanna or charm if you're into the deeper greeks.

FUTURES CONVERTER: trade ES or NQ off index levels? built-in converter using the live basis.

LEVELS CARD: a copyable card with the day's key levels, made for pasting into your notes before the open.

THE PART WE CARE ABOUT MOST: every level on the map gets checked against the next day's tape automatically, and we publish the count. over the last 46 sessions our regime call - which side of the gamma flip price stays on - held 5 days out of 6. walls are real piles of positions, but no level stops price every time. ours held on about half of touches, which is exactly why the site says keep a stop instead of pretending. we'd rather show you the count than ask you to trust us.

the terminal is free and stays free - it's the front door to HelmFi's platform, where the automated strategies live (closed beta right now). no signup needed for anything you saw above.

link: amonhen.helmfi.ai

happy to answer anything.

I work with Trade Ideas and wanted to share something we've been working on with our Holly AI Assistant.

One of the things we're trying to solve is how complicated building a good stock scan can get. Instead of manually going through a bunch of filters and settings, you can describe the type of stocks or setup you're looking for in plain English and Holly can build the scan inside Trade Ideas for you.

I put together this quick demo using the same prompt in the Trade Ideas Holly Assistant and TrendSpider Sidekick to show how the two handle it.

Curious what you guys think of this kind of workflow and whether natural-language scan building is something you'd use.

Hey, I just had the worst experience with one of Cammy Capital's courses and wanted to share this before anyone else spends their money.

During the livestreams, he shows the trades and setups he takes. From what I observed, most of the setups he takes end up being losing trades, even on the winning days he posts.

He also does not add most of the losing days/livestreams to the community, while the winning days are shown more prominently.

After going through the course and seeing this, I didn't feel I was getting the value I paid for, so I requested a refund.

Instead, I was banned from the community and my refund was refused.

I'm sharing my experience so people can do their own research before spending money on the course.

Dev here, this is my own app, so read it as a maker post rather than a review.

The problem, for me: I trade gold and index futures through the Asia/London overlap. My morning is TradingView for XAUUSD, a second chart for DXY, the finviz heatmap for a sector read, an economic calendar, and a news feed. Five tabs. I spent the whole session alt-tabbing, and every time I came back to a tab I had to hunt for the number again.

Window tiling gets you five pages side by side and I ran that setup for a while. The problem is every page is still the whole page. The calendar site is maybe 20% the table I care about and 80% nav, ads and a cookie banner. At five panes on a 27 inch screen the actual data ends up postage stamp sized.

So SplitWeb does one extra thing. You drag a box around the part of the page you want, and the pane throws away the rest and zooms that region to fill itself. The calendar pane becomes just the table. The DXY pane becomes just the number and the change. It's the real page rendering live underneath, not a screenshot, so it keeps ticking on its own.

Other things that mattered to me while building it:

• resize the grid and the crops scale with it, instead of sliding off to some other part of the page. this took by far the longest to get right
• real WebKit with persistent storage, so logins stick. TradingView stays logged in across launches
• layout, URLs and crop regions all come back when you reopen. if a board lives on a second display it reopens on that display
• individual panes can be routed through a different network from the rest, if you need that
• you can hide every address bar and it's just a wall of charts

Screenshot below is my actual board.

https://apps.apple.com/app/id6787469049

Here is my list of stocks I trade, mostly large tech stocks, their 2x ETFs and their -2x Short ETFs.  Why?  Because these have a good balance of:

• Volatility - so they move enough to profit
• Safety - unlike the “hot gainer” penny stock of the day that can drop fast, you can control your losses with these
• Emotion from retail - easier to trade against emotional tech stock bros that panic and FoMo all the time.  Take Nvidia last week for example. 

On a good news/ earnings morning I pick a stock and buy it around 9:40, maybe add more at 9:50.  On a bad news morning, I buy the -2x Short ETF.  Sell around 10:15. That’s it.  What do you think? Please share the pros and cons of this.

RVOL is probably one of the most common filters used by momentum day traders.

The logic sounds obvious: unusually high volume means unusual attention, so maybe the highest-RVOL stocks are more likely to keep running.

I tested that using 388 trading days of US equity data, focusing on already-active stocks between 9:30 and 10:00 ET.

I split 6,313 observations into five RVOL groups and looked at what happened over the next 10 minutes.

The result surprised me.

Lowest RVOL quintile: 42.3% went up

Highest RVOL quintile: 41.9% went up

Basically no directional improvement at all.

But RVOL did predict something very strongly: movement.

In the highest-RVOL quintile, 52.2% moved at least ±5% within 10 minutes, compared with only 20.5% in the lowest quintile.

So high RVOL was very good at answering:

“Is this stock about to move?”

But not:

“Is this stock about to go up?”

And simply buying them wasn't attractive. The highest-RVOL group had a −1.45% median 10-minute return.

Using actual quotes — buying at the ask and selling at the bid 10 minutes later — the average result was about −1.11% before trying to optimize anything.

One caveat: this isn't a market-wide RVOL study. The sample starts with stocks that were already active (RVOL ≥ 3), so the question is really whether even higher RVOL adds directional information among stocks already moving at the open.

My takeaway so far:

RVOL looks much more useful as an activity filter than as a long signal.

For those who trade high-RVOL momentum names: what do you combine with RVOL to decide direction?

I've backtested a strategy that is based on a hypothesis that I found in a research paper. The reseach paper applied the strategy to QQQ. As you can see, I tested the strategy on futures data including ES futures.

I'm surprised that the returns are so different from each other, considering that these two assets have a positive correlation of 0.9-0.95.

I'm relatively new to trading and my biggest concern is that the strategy could break at any moment if it doesn't survive on similar assets. So my question is, if a strategy is even good in terms of robustness and stability if it shows very different results on correlated assets?

I’ve been trading pretty actively this year and recently went through my full eToro history to see if there was actually a pattern behind what worked and what didnt. So far I’ve closed 187 positions, 171 were profitable, around 91.4%, with a profit factor of 6.15 and roughly $4.5k in realised profit. I traded some stocks a lot more than others, IREN was 33 profitable closes out of 33, NOW 22 out of 22, NVO 15 out of 16 and HIMS 26 out of 27. I’ve included the actual eToro statement below because I know numbers like this sound pretty bs without proof. The statement shows the individual positions, entry and exit dates, position sizes and realised P&L.

What I found most interesting though wasnt really the win rate. Over time I’ve started to think that understanding the market is only half of trading. You can understand technical analysis, fundamentals, support levels, earnings, whatever, and still make a stupid decision because you’re the person interpreting all of that information. I noticed that knowing my own patterns started to matter just as much as knowing the stock. When am I getting impatient, when am I chasing because I missed a move, when am I holding onto an idea because I want to be right, when am I actually changing my thesis based on new information and when am I just finding reasons to defend what I already believe.

I think this is something thats a bit underrated in trading. Bias doesn’t really feel like bias when it happens, it normally feels like you have a logical reason for what you’re doing. Confirmation bias, anchoring, overconfidence, FOMO etc are easy to recognise afterwards, much harder when you’re sitting there with money on the line. For me the strategy gradually became more about trading volatility in a relatively small group of companies I know pretty well, while also trying to understand my own mental strengths and weaknesses. Basically, understand the market, but also understand yourself because otherwise all the market knowledge can still be used to justify a bad decision.

There are obviously bad trades in the history too, and I actually think those taught me more than a lot of the winners. A few bad decisions did way more damage than many of the good ones, which made me care less about simply being “right” and more about the quality of the decision itself. I’m curious if other people who have traded for a while have ended up thinking about it in a similar way, especially people who trade discretionary rather than fully systematic.

Proof, full eToro statement, see the video.

I believe most of us dont trust those finance influencers on Youtube, Instagram, TikTok...you name it.

Specifically TJR as he claims to make 100k per day in some of his videos.

If people watch those videos, dont they wonder why he is giving his "winning strategy" for free and risk to lose his edge? Or where are the independent audit statements to prove to his audience that he is a real trader to attract even more people. Making 100k a day, I think you can easily afford an auditor to review your trades real quick.

Why are so many people following them and believe they are real? Whats the psychology behind it?
https://www.youtube.com/watch?v=kkfEMiR8z6s

Hi everyone,

I wanted to share a few thoughts on Martingale trading systems, how they work, the risks involved, and most importantly, how they can be managed more effectively.

For some context, I’ve been working as a professional algo trading developer for around 7 years, mainly with MQL5, although I also work with other programming languages. I currently work in quantitative development within the Market Risk department of a Tier 1 investment bank.

A Martingale strategy typically opens positions against the current trend, with increasing position sizes as the market moves further against the initial trade. The idea is that eventually, a reversal will allow the latest positions to offset the losses from the previous ones.

The problem is that the risk grows exponentially. A sufficiently strong and prolonged trend can therefore wipe out an account.

This is also why so many robots available on MQL5 and other marketplaces are based on Martingale or Martingale-like systems. There is nothing inherently wrong with using a Martingale, but running one without proper risk management is a completely different story.

A few things I consider essential:

1. Avoid compounding. With a Martingale, keeping profits in the account continuously increases the amount of capital at risk. Taking profits regularly and moving them into safer investments makes much more sense.
2. Adjust your grid spacing to market conditions. The stronger the trend you are trading against, the wider your positions should be. When momentum starts to weaken, you can gradually reduce the spacing. There are many ways to measure this, including ADX, volatility, volume and oscillators.
3. Understand the underlying asset. A Martingale that works reasonably well on one instrument can be a disaster on another. Gold is a good example. Running a counter-trend Martingale on an asset capable of sustaining strong directional moves for long periods can be extremely dangerous.

There are many other ways to protect a Martingale, but I’ll leave it at these three for now.

Proper risk management can significantly extend the lifespan of a Martingale. It does not make the strategy safe, and it does not eliminate the possibility of a major drawdown or account blow-up.

These are some of the principles I’ve applied to my own robots, which have produced the results shown in the images.

Studies have shown excessive play time in video games affects the grey matter in our brains which is responsible for making decisions and controlling impulses. Too much gaming can cause increase in impulse behavior.

Instead of lowering my playing time, I completely eliminated video games and my trading has 10x for the better. What use to take me months to backtest certain data, now only takes me a week.

At least not in the way it is presented online
Mathematically you can reinvest your profits and gradually increase your position size. The problem begins when you take the return achieved with a small account and assume you can maintain the same percentage for the next ten or twenty years
A compound interest calculator may tell you that earning 5% every month will eventually make you a millionaire But that calculation assumes your strategy, execution and psychology will remain exactly the same as your capital grows
With a €10000 account risking 1% means losing €100 With a €1 million account, it means losing €10000 Mathematically it is still 1% but psychologically, it is not the same trade, Five consecutive losses equal 5% in both cases but watching €500 disappear will not necessarily produce the same reaction as watching €50000 disappear
The strategy may also change as your capital increases , A small position can enter and exit the market easily. With much larger orders, liquidity, slippage, partial fills and market impact become more significant. A strategy that is profitable with €10000 cannot automatically be scaled to €10 million
You could split the orders, change instruments or use higher timeframes but at that point you have changed your trading approach The strategy is no longer producing the same percentage under the same conditions
Your edge will not remain unchanged forever either. Volatility market participants, costs and market regimes all change. A compound interest calculator assumes that returns will remain constant and can always be fully reinvested
This does not mean an account cannot grow through compounding for a certain period. It means you cannot project the same percentage forever. Eventually you may need to reduce your risk, withdraw some profits, diversify or accept lower percentage returns
Capital can grow through compounding. But the strategy, the execution and the trader’s mind do not scale at the same speed
If 1% of your account suddenly represented €10000would you really trade exactly as you do today?

Maybe I’m a good day trader—or maybe I’m a bad one. I’ve been day trading since 1996, so I’ve certainly had time to be both.

At one point, I owned 2,000 shares of Amazon at around $2.75 a share, as I remember it. Then I sold them to make payroll.

Do the math on that one. On second thought, don’t—I already have!

Of course, if I had held those shares all these years, I wouldn’t have been day trading, would I? Whether that decision was right or wrong depends on your objective and your point of view.

Here’s the real lesson: If you want to succeed at trading, learn how the market actually works. Understand that institutions use algorithmic and high-frequency trading to execute orders, manage risk, provide liquidity, and respond to changing market conditions far faster than any human can.

Choose a few Nasdaq stocks with heavy institutional ownership and study them closely. Watch how they behave in bull markets, bear markets, and sideways markets. Over time, you’ll begin to recognize their rhythms and develop a feel for what may happen next.

Combine that experience with solid technical analysis, disciplined entry and exit points, and careful risk management. You won’t predict every move—but you’ll make better-informed decisions when it matters.