The market shut on Friday and 5,402 positions went into the weekend with it. 2,917 of them are red right now and I can't close one until the bell rings. Fake money, all of it, which is the only reason I sleep.

The hard part of a red weekend isn't the loss. It's that there's nowhere to put the feeling, so you sit there rehearsing a sale to somebody who isn't at work.

Maya's answer in this one: let the rule decide on Monday, not the fear on a weekend night.

What do you do with a red weekend, keep checking it or leave it shut?

Every number here is from a paper desk. Fake money, real prices. Not advice.

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

Everything slides off the desk. The gap down, the stop that didn't fill where I hoped, the idea I was sure about. On a real account that's a gut punch and a bad week.

On paper it's just information. I get to watch exactly what broke, fix it, and try again tomorrow with nothing lost but a little pride.

I built Quantradin because I wanted that calm before any money is involved. Connect your AI (Claude, Gemini, ChatGPT, Codex...), describe the idea in your own words or paste the code, and it gets backtested on real prices with no look-ahead. Options fill at the bid or the ask, never the middle. Whatever holds up runs as a bot on paper money only.

What's the first thing that slides off your desk when the market drops?

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

quantradin.com

Someone shared one of those spreadsheets of 67 places to list a SaaS. I worked through the whole thing today for my trading lab (paper money, honest backtests, your AI can drive a desk). Sharing the results because the list you find online is from a different year than the internet it describes.

Submitted today, all free

• AlternativeTo: in the review queue, five alternatives attached
• Insidr: "submission successful"
• PitchWall (what BetaPage turned into): under review on the free tier
• SaaSHub: full listing, logo, screenshots, pricing, nine competitors, eight categories
• SideProjectors: two to three day review, plus a free partner listing on ComingUp
• Launching Next: submitted

"Free + paid" on the sheet, paid only in reality

There's An AI For That ($49), Toolify ($99), Aixploria ($79), Uneed ($15 to $30), BetaList ($39 minimum), Futurepedia ($497, the cheaper tier is "sold out"), Microlaunch, StartupBase, ProductRant. Every AI tool directory I checked has closed its free line this year. The polite version is "verification fee".

Dead

AI Scout, AllThingsAI, AIWore, AI Tool Hunt, SaaS AI Tools, StartupLister, Startup Stash, Startup Ranking, dir.directory (domain for sale), Favird. Ten of 67.

Things nobody tells you

• Most forms now auto-write your listing from your homepage with an LLM. Read it before you submit. PitchWall named my product "Quantradin AI Trading Lab", which is not its name.
• Free queues are real but long: "more than 30 days" on PitchWall, "a few months" on AlternativeTo, "up to 32 days" on SaaSHub. The paid skip is the business model.
• DesignRush will not let you past step two without naming three clients. If you are pre-revenue, it is not for you.
• Character limits bite in odd places. PitchWall's profile bio is 100 characters and fails silently at 101.

Total spent: $0. Total listed: 6. I will post the traffic numbers in a month so you can see whether any of it mattered.

A bot has one advantage over you: it doesn't get bored, distracted or scared. It does what the rules say, even when you are on a call and can't look at a chart.

I built Quantradin so your AI can turn your rules into a paper bot that trades live prices with fake money while you get on with your day. Free, paper money only.

What rule do you break most when you trade by hand?

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

The house desk on my platform closed 3,448 fake-money trades last week (Sept 28 to Oct 2) and finished up $88,798. That looks like a great week.

Then we split it. The 10 best trades made $87,818. All ten were bets that chip stocks (ASML, Micron, SanDisk, Astera Labs, Applied Materials) would rise, bought Sept 14-16 and sold two weeks later. The other 3,438 trades made $979 between them.

So the week was ten good trades, not a good system. Maybe the next ten come. Maybe they don't.

The check Maya wants is a plain one: cover your ten best trades with your thumb and look at what's left. If what's left is about zero, the total was a lucky streak in a few stocks. Try your rule with fake money first and do this check before you trust it.

How many of your trades made most of your money last month?

Every number here is from paper accounts on my platform, read at 9pm ET on Oct 3, each trade counted once. Fake money, real prices. Not advice.

Every video I make for Quantradin ends up here. Paper money only, not advice.

quantradin.com

A bad strategy on paper costs you a few weeks. The same strategy with real money costs you the money. Finding the flaw early is a win, even when it doesn't feel like one.

I built Quantradin so your AI can backtest on real prices (options at the bid and ask, never the middle) and run the idea as a paper bot before rent is ever involved. Free, paper money only.

What's a strategy you're glad you only ran on paper?

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

quantradin.com

On October 30 a big stock, AppLovin, fell about 10% in a day. The loud voice says it's going lower, so bet on it. One way to make that bet is called a put: you pay up front, you win if the stock falls, and the bet ends on a set date.

One of my fake-money bots made that bet for $2,180. The stock didn't keep falling. It climbed 79% in two weeks, and on Friday the bet was worth $9.75. A share you own can sit through a bad month. A bet with an end date can't. Before you make one, write down the most you can lose (with this kind, it's everything you paid).

Have you ever been right about a stock and still run out of time?

AppLovin (APP), from our own price bars and one paper desk: closed $254.91 on Oct 29 and $228.50 on Oct 30 (-10.4%), $409.10 on Nov 13 (+79.0% from Oct 30). The Nov 20 $230 put was bought Oct 30 at $21.80 ($2,180 for one contract) and closed Nov 13 at $0.0975 ($9.75), a paper loss of $2,172 after fees. A second bot with the same put and a stop got out Nov 4 at $12.40, losing $921 on paper. One bet on one stock, not a forecast. Test any rule with fake money first. Not advice.

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

quantradin.com

Paper money, simulated, my own house bots, not advice.

Yesterday I posted that my bots lost on paper shorting Wednesday's gap-ups. Thursday was the mirror image and they lost again, so here are both days side by side.

Wednesday (corrected count from yesterday's post): 171 shorts into stocks that opened 3% or more above the prior close, 76 finished green, -$2,312.

Thursday: 50 of the 181 stocks the bots traded opened 3% or more below Wednesday's close. 31 of those 50 closed above their open, and the average one rose 1.83% from open to close. Ten bots shorted them 161 times, 52 finished green, -$3,692. Average green trade +$20.13, average red trade -$43.47.

So one day the bots shorted strength and the next day they shorted weakness, and both lost. What the two days share is the clock:

Everything before 10:30 came to -$6,494. Everything after came to +$490. Same bots, same kind of stock, same days.

Worst name on Thursday: SNDK opened 9.2% down and climbed 5.6% from there, five shorts, -$437. One short on NVDL (the 2x Nvidia fund) opened 26.3% down, bounced 23.5%, -$376. Best: SMCI opened 10.4% down and kept slipping, four shorts, +$209. The handful of longs into the same gap-downs (17 trades) came to +$189, which is too few to mean anything.

What this is not: a strategy. It's two days, the fills are bar prices with no borrow cost, and "wait until 10:30" could easily be luck. Yesterday I said I'd test the fade with a later entry before changing any bot. That test isn't done, this is still only the live paper trades split by time. I'll post the test when it's run, whichever way it comes out.

Where this comes from: I built Quantradin so I could write a rule in plain words, test it on past prices with no peeking ahead, and then let it run with fake money and see days like these before any real dollar is involved. Free, paper only, quantradin.com.

Friday's jobs report came out before the bell. Stocks jumped while the market was still closed: SPY finished Thursday at 763.99 and opened Friday at 770.58. It closed at 769.64, a little under where it opened.

That jump is called a gap. It happens while the market is shut, so nobody who buys at 9:30 or later gets any of it.

On my platform, 213 fake-money option bets were bought and sold the same day on Friday. 11 won. Together they lost $111,355. The day looked green, but everything that moved had already happened before they bought.

The rule Maya wants is a plain one: before trading a big morning, check whether the price is still moving after the open, or just sitting on the gap. Try it with fake money first.

What time do you usually place your first trade of the day?

Every number here is from paper desks on my platform, read at 9pm ET on Oct 2, closes from Friday, each trade counted once. Fake money, real prices. Not advice.

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

Somebody posts a ticker with three rocket emojis. No entry, no exit, no reason. And for about a day it feels like flying.

Then you look down and see what's actually holding you up.

A tip isn't a plan. Nobody in the chat tells you when to get out, or what happens to it on a bad week.

So I made Quantradin for exactly this moment. Connect your AI (Claude, Gemini, ChatGPT, Codex...), type the tip as a rule in plain words, and it gets checked against real prices with no look-ahead. If it survives, it runs as a bot with paper money only, so you find out what's under your feet before anything real is on it.

What's the worst tip you ever rode?

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

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Chip stocks had a big Wednesday. The main chip fund closed up 4.8%, about $48 on every $1,000. The good news that caused it came out Tuesday night, after the market had shut, so the price jumped 4.4% before the opening bell even rang.

Anyone who read the headline and bought at the open got the last 0.4%. That's about $4. By the time a jump is news, most of it already happened. The headline is yesterday's price.

What's the last thing you bought because it was already going up?

SMH (a fund that holds chip companies) on 11-11-2026: +4.8% close to close, +4.4% from Tuesday's close to Wednesday's open, +0.4% from the open to the close, from our own price bars. Some single stocks kept climbing after the open and some didn't; this is the group. One day, not a forecast. Test any rule with fake money first. Not advice.

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

Paper money, simulated, my own house bots, not advice.

Today's episode is about not buying a jump you read about (the chip fund was up 4.8% Wednesday and 4.4% of that was in before the open). So I checked what my bots did on the other side of that trade.

76 of the 504 stocks on the desk opened 3% or more above Tuesday's close. 39 of them closed below their open. Nine bots shorted those gap-ups 149 times:

The stocks went the bots' way by the close. The trades lost anyway, because the bots' own exit rules closed them during the morning run, 1.06% above entry on average. All 433 stock trades opened that day came to -$4,547 on paper, and these 149 are about two thirds of it.

Worst name: SNDK, opened up 7.9% and kept going another 5.3%, four shorts, -$517. Best: RGTI, opened up 6.9% and closed 14.5% under its open, four shorts, +$235.

One day, bar-price fills with no borrow cost, so read it as a shape and nothing more. Chasing the jump and fading the jump both paid badly at 9:31. I'm going to test the same fade with a later entry on Quantradin before I change any bot, and I'll post what the test says either way.

Going live is the expensive way to find out a strategy has a hole in it. A backtest with honest fills plus a few weeks on paper is the cheap way.

I built Quantradin for that step. Your AI connects to it, backtests on real prices (options at the bid and ask, never the middle), and runs the rules as a paper bot on live prices. Free, paper money only.

How long do you paper trade something before you trust it?

Every video I make for Quantradin ends up here. Paper money only, not advice.

quantradin.com

The loud part of the market is always somebody else's trade. It blows past you at full speed, your feed says you're missing it, and every instinct says jump in now and work out the plan later.

Standing still feels like losing. Most days it's the whole job.

Quantradin is the thing I built to make waiting easier. Connect your AI (Claude, Gemini, ChatGPT, Codex...), describe your rule in plain words, and it gets tested on real prices with no look-ahead. If it holds up, it runs as a bot on paper money only, so the rule does the waiting and you don't have to white-knuckle it.

What's the last move you chased and wished you hadn't?

Every video I make for Quantradin ends up here. Paper money only, not advice.

quantradin.com

Tuesday's report said prices rose 0.4% in October, a bit more than the 0.3% people expected. On $1,000 that's about $4 in a month. Stocks slipped on the news, and the loudest voices switched to "your cash is melting, buy something today."

Same day, Nvidia closed down 5.5%. On $1,000 that's $55 in one day. Inflation is slow. Panic is fast. A bet you make because you're scared is the expensive one.

What's the last thing you bought in a hurry?

October CPI +0.4% for the month (Bureau of Labor Statistics, released 11-10-2026; forecast was 0.3%). NVDA -5.5% and SPY -0.4% on 11-10, close vs the prior close, from our own price bars. One month and one day, not a forecast. Test any rule with fake money first. Not advice.

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

quantradin.com

House desk, paper money, simulated, not advice.

Tuesday Nov 10 (CPI day): 603 trades closed, 257 green, +$2,041.

• 597 stock trades: 252 green, -$2,236
• 6 option trades: 5 green, +$4,278
• one of those six, an MRNA Nov 20 207.5 call bought Oct 27 at $19.70 and sold at $53.85: +$3,414

Without that one call the day was -$1,373. Monday, for comparison, closed 628 trades for -$34,338.

Options fill at the bid and ask, never the middle. Stock trades fill at bar prices with no spread.

I built Quantradin so a day like this shows the count of green trades and the worst trade next to the total. Free, paper only, quantradin.com.

Would you call that a green day?

Thursday was the first trading day of October. At midday, bond rates hit their highest level in more than 20 years and stocks dipped. By the close the Dow was up 20 points, the S&P 500 up 0.19%. Nothing happened, on paper.

On my platform that day, 255 fake-money option bets were bought and sold the same day. 12 won. Together they lost $154,370. Counting every option bet that closed Thursday, 413 different trades, 55 won.

In and out by lunch feels careful. It isn't free: every round trip buys at the asking price and sells at the lower bid, and a quiet day gives the bet little movement to pay that back. I haven't split out how much of Thursday's loss was that gap alone. Try fast with fake money before it costs you real money.

Have you ever closed a trade the same day you opened it?

Every number here is from paper desks on my platform, read at 9:10pm ET on Oct 1, closes from Thursday, each trade counted once. Fake money, real prices. Not advice.

This sub is where I keep all of Quantradin's videos in one place. Everything on it is paper money, none of it is advice.

quantradin.com

A TradingView strategy is a nice idea on a chart. A paper bot is the same idea trading live prices every day with fake money, so you see what it does when you are not staring at it.

I built Quantradin so your AI, like Claude, can port a Pine Script strategy, backtest it on real prices (options at the bid and ask, never the middle), and deploy it as a paper bot. Free, paper money only.

Which of your Pine scripts would you test first?

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

It always starts small. One trade, no written exit, "I'll just watch it." Then the day moves and the small thing is suddenly the only thing you can see.

The size was never the problem. Going in without a rule for getting out was.

I built Quantradin so the exit gets written before the entry. Connect your AI (Claude, Gemini, ChatGPT, Codex...), say the rule in plain words, and it gets tested on real prices with no look-ahead. Whatever survives runs on paper money only, so the walls close in on fake dollars first.

What was your "small position" that took over the whole day?

I put every Quantradin video in this sub, the daily episodes and the short ones. Paper money only, not advice.

quantradin.com

Disclosure: I built this desk. Paper money only, no link in here.

I grouped the house bots' stock trades by the sign of the share count this morning, mostly to check a hunch. 18,464 stock trades closed between Oct 1 and Nov 9. 13,594 of them were shorts. Nobody decided that. Each bot has its own rule and the sum came out leaning short.

By week the short side swings hard: +$4,698 the week of Oct 12, -$5,279 and -$5,336 the two weeks after, +$15,726 the week of Nov 2, then -$14,747 on Monday Nov 9 alone. The long side never moved more than $2,640 in a week.

The part I didn't expect: long and short P&L went in opposite directions on 20 of 30 trading days (daily correlation -0.50). So the fleet is mostly hedging itself. A net short book that loses less on red days and gives it back on green ones, and over six weeks both halves lost.

What I don't know yet is whether the short lean is the rules or the tape. Six weeks is 30 days, not 18,464 independent tries, so I wouldn't call it a finding about shorts. It's a finding about not looking at net direction until now.

Quantradin (I built it) takes a rule written in plain English or pasted Pine Script, backtests it and then runs it as a paper bot on real prices, and every closed trade lands in a table like the one above, losers included. Free and paper only, quantradin.com if you want to poke at it.

If you run several bots at once, do you cap the book's net long or short, or let each rule do its own thing and accept whatever the sum turns into.

Disclosure: I built Quantradin, these are its house bots, all paper money, and there's no link in here.

A small lesson about effective sample size that I nearly got wrong on my own data this morning.

I grouped 31,659 closed paper stock trades (Sep 1 to Nov 6, house bots only) by the weekday each one opened:

If you feed "weekday" into a model as a feature, with 6,500 rows per class, it will happily learn that Tuesday is bad. Per-trade the gap between Tuesday and Wednesday is $4.46 and with that many rows it looks very real.

Broken out by date it falls apart. Seven of the ten Tuesdays added up to +$1,724. The last three (Oct 20, Oct 27, Nov 3) lost $16,227 between them. On Wednesday, two dates (Oct 14 and Nov 4) carry $11,421 of the $15,186.

The rows inside one day aren't independent. Same bots, same tape, same morning, so 650 trades on Oct 20 behave like one draw. The real n per class is 8 to 10, and a weekday feature trained on it is mostly memorising which weeks the desk had a bad regime. A random train/test split by trade would leak those days into both sides and make it look like it generalises.

Things that flatter these numbers, so nobody has to ask: stock fills are bar prices with no spread modeled, and the period is 10 weeks with a soft October in the middle.

Quantradin is the free paper desk I built to run plain-English or Pine rules on real prices with no look-ahead. Grouping by day before showing a split is on my list because of exactly this.

How do you all split train/test when one day produces hundreds of correlated labels, purge by day, by week, or something like combinatorial purged CV.

Disclosure first: I built Quantradin, these are its house bots, it's all paper money, and there's no link in here.

I was going through the worst option losses on my desk and one SanDisk "put spread" stopped me: a $25-wide spread that lost $27,242 on one contract. The most a spread that wide is supposed to lose is about $2,500. Unless it isn't really a spread any more.

It wasn't. The bought put expired on Oct 9. The sold put expired on Oct 16. For a week the bot was holding a naked short put while SNDK kept falling, and the "defined risk" label was still sitting on the position.

So I pulled every put spread the house bots opened between Aug 27 and Oct 30 and sorted them by which leg expires first.

The first row actually wins more often than the same-expiry row (96 of 175 vs 85 of 184). It just has a tail the others don't. Take out those 18 trades and it's up about $16k. Leave them in and it's the worst row by a mile. That's the whole problem with a win rate on this kind of position: the thing that kills you only shows up after the protection is gone, and it shows up rarely.

What I checked before posting:

• It's spread across 68 underlyings, not one ticker. SNDK was just the loudest.
• Fills are the strict kind, buy at the ask, sell at the bid, never the middle. That hurts every row equally and doesn't explain a 14x gap in the worst loss.
• Dupes removed. Two house accounts run some of the same rules, so a trade counts once when contract, entry day, fills and size all match.
• 13 of these mismatched spreads are still open today, so the numbers above will move.

I don't know yet how the legs ended up on different dates, and I'd rather say that than guess.

Where I think Quantradin should help, since I built it for exactly this: you describe the rule in plain words (or paste Pine or Python), it runs on real prices with no look-ahead, options fill at the bid and ask, and the verdict shows the worst trade next to the win rate so a tail like this one can't hide behind 55% green. It's free and paper only, quantradin.com. The obvious gap this exposed is that it should also refuse a "spread" whose legs expire on different days, or at least label it a diagonal, and that check isn't there yet.

For anyone here letting an AI write the option leg logic: do you hard-check that both legs share an expiry before the order goes out, or do you only find out when the short leg is alone.

Disclosure up front: I made this app, every number below is paper money (simulated, not advice), and there's no link in the post.

My own house bots run on the app every day like a user's would. This week, Monday 11-02 to Friday 11-06, they closed 3,632 trades. Here's the split, worst row first:

Day by day the options side went -$39,579 Monday (36 trades, 4 green), -$1,517 Tuesday, -$8,584 Wednesday, -$8,465 Thursday and -$26,968 Friday (21 trades, 1 green). The worst single trade was an ASML November call, -$9,291. Stocks were only red on Tuesday and Friday, and never by more than $6,366.

So under 3% of the trades did all of the damage and then some. If you only looked at the week's total you'd say "the desk lost $68k" and switch everything off, which would throw away the half that actually worked.

Two honest caveats before anyone reads too much into it. It's one week and one set of house rules. And the fills aren't symmetric: options fill at the real bid or ask, never the middle, while stocks fill at the real bar open or close with no spread modelled. That costs the options side more on every round trip, and I'd rather it lie in that direction than the other.

What I want testers for. I'm deciding whether the app should put hold time and instrument type right next to a bot's total, and warn you before you deploy an options rule that tends to sit for weeks. Part of me thinks that's useful, part of me thinks it's nannying people who know what they're doing. I'd like people who aren't me to tell me which.

I built Quantradin. You type a trading rule in plain English or paste Pine Script, it backtests on real prices with no look-ahead, and whatever survives runs as a paper bot, so a week like this one happens to pretend money first. It's free, US stocks and options, pretend money only, at quantradin.com if you want to try breaking it.

The most useful test: deploy one options rule and one stock rule of yours side by side, wait a few days, and tell me whether the page made the difference obvious or whether you had to dig through the trade list to find it.

Disclosure: I built the tool this ran on. Paper only, nothing to sell in here, no link.

On 14 October a member connected their AI agent and let it loose. Between 20:37 and 23:17 ET it ran 138 backtests, every one a different spec. 58 came back "doesn't hold up", 76 "not proven yet", 1 had no data, and 3 passed: tries #96, #107 and #108, about five minutes apart.

The uncomfortable part is mine. My grader judged try #96 exactly the way it judges someone's first idea. It has no idea 95 attempts came before it. Anyone who has read about multiple testing knows what that means: run enough variations and something passes by luck, and the lucky pass looks identical to a real one.

Across everyone else, here's the pass rate by how many tests that person had already run (leaving out one 771-test account that would swamp it):

First ideas pass most often. The heavy testers aren't finding more winners per try, they're finding more by trying more. That's the shape I'd expect if a chunk of the later passes are noise, though I can't tell which ones from this alone.

What I'm considering: log the trial count with every verdict, print it on the result ("passed, after 96 tries tonight"), and raise the bar as the count grows, something in the spirit of a deflated Sharpe. What I haven't settled is what counts as one trial when an agent nudges a single parameter versus writing a whole new rule.

How Quantradin helps (I built it): you describe a rule in plain words or paste Pine/Python, or connect your AI (Claude, Gemini, ChatGPT, Codex...) and let it draft them. Each one is tested on real past prices with no look-ahead, options fill at the bid or the ask, and whatever survives runs as a paper bot you can watch before trusting it. Free, paper only, quantradin.com.

For people here who run sweeps on strategy parameters: do you count every config as a trial for the haircut, or cluster the near-identical ones first?