Rafael Lima

(=◑ᆽ◑=)ฅ

[Rafael Lima @_rafael_lima]

@vibeonX69 C++

[VALIX @RetroValix]

This guy built an HFT algorithm on Polymarket with an average trade size of $60 and a 55% win rate

Result: +$311,667

His bot trades short-term crypto Up/Down markets using a combination of directional trading and dynamic hedging:

1. Looks for mispricing using its model

For each market, it records the reference price and uses fast spot/perp feeds to track the underlying asset

Its model continuously recalculates outcome probabilities based on price relative to the reference, momentum, acceleration, volatility, time to resolution, and order flow

Its signal looks like this:

> Model Edge = p_model(outcome) - PM price

For example:

> p_model(Up) = 67c
> Current Up price = 60c

Model Edge = 7c

As long as this gap remains, it keeps buying that side

2. Uses the opposite outcome to adjust its inventory

If the market reverses and its fair probability estimate shifts toward the other side, it often buys the opposite outcome

This reduces net exposure and, at favorable prices, can turn part of the position into complete sets costing less than $1 each

Matched inventory acts as a hedge, while the remainder stays directional

Its Polymarket account: antsaslyku

The algorithm uses external price feeds to continuously update its fair probability estimates. Buying the opposite outcome lets it hedge its inventory while continuing to follow its directional signal

[kiosa @thegreatest_sv]

this is absolutely f*cking insane

Black Rock just leaked 5 GitHub repos that give you the trading desk a fund pays millions for:

want a full research team arguing over every trade?

-> TradingAgents: a multi-agent trading firm in one repo. analysts, researchers, a risk desk
https://t.co/WrZdnNZxlO

want the data terminal without the terminal bill?

-> OpenBB: an open data platform for analysts, quants and AI agents
https://t.co/VcaWozjiGU

want a bot that actually places the orders?

-> freqtrade: free, open-source crypto trading bot with backtesting built in
https://t.co/NIvu9ZHRNq

want the engine serious quants run in production?

-> NautilusTrader: a Rust-native trading engine where the backtest and the live run use the same code
https://t.co/zIlVSBDwrU

want all of it in one place?

-> QuantDinger: an AI trading OS. research, Python strategies, backtest, paper and live trading
https://t.co/4snHSFdFIC

~282k stars of trading infrastructure. $0 in licences.

now the part worth trying.

every one of these has the same slow spot: the moment before the order, where something has to say yes or no.

that's where Jev goes.

it can't write a word. it returns BUY / SELL / HOLD with a probability in 70 to 500 milliseconds.

QuantDinger already ships it as the pre-trade gate. and one repo, jev-trader, asks it buy or sell every ~300 ms and quotes a limit order on every single block.

the stack in one line: OpenBB brings the data, the agents do the research, Jev makes the call, the bot places the order.

the catch: fast is not the same as right. none of this is an ATM. paper trade it first.

Jev + these five is the setup to test this month.

bookmark and share with a friend

[Rafael Lima @_rafael_lima]

@MatthewBerman Awesome!

[Matthew Berman @MatthewBerman]

Reverse Engineer Anything 😂

Software is done.

[savip. @savipww]

OKAY THIS IS GETTING F*CKING INSANE, MY CRAWLER WRAPS SCAM COINS IN SILK WHILE I SLEEP AND JEV + MY GROK BOTS TOOK MY $100 TO $23,879

my crawler post hit 1.2M views on night 3, then half my timeline copied it

so last night i taught mine three new moves

the crawler = a bot that combs crypto Twitter for me all night

Jev = an AI with two answers, yes and no, quicker than a blink, cheaper than a gumball

spider reads, Jev rules, Grok bots click buy and sell

the new moves:
→ radar, circles the top wallets, pings big sellers
→ cocoon, wraps a fake coin in silk, drops it
→ audit, zigzags over my balance, checks every fill

the coin:
HOOKI, 3 hours old, $460K at 10pm, Jev gave it a yes

overnight:
→ 10:20pm first entry came too early, -$271
→ 11:15pm it crashed to $150K, holders down 67%
→ 11:20pm buyers came back, Jev said buy at $366K
→ 11:55pm sold at $718K, +$2,008
→ 1:45am night's bottom $279K, Jev said go, sold $558K, +$2,188
→ 6:15am Jev said buy at $224K, out on the 6:50am close, +$750
→ two smaller wins, +$1,910

anyone who bought HOOKI at 10pm and held woke up 40% poorer

my bots finished up 35.6% trading that exact chart

honestly i'd pay for the cocoon alone, the coins i skip save me more than the ones i buy

night 1 $2,197, night 2 $4,962, night 3 $12,161, night 4 $17,608, night 5 $23,879

at 0:11 the spider wraps a scam coin and drops it

bookmark it, night 6 is tonight

all of it is below ↓ free

send this to whoever copied the crawler first

be honest, who picks better coins at 3am, you or a spider?

[Rafael Lima @_rafael_lima]

@axhiii88547 Gentoo

[kiosa @thegreatest_sv]

whoever leaked this is f*cking crazy

someone mapped 300+ AI agents into one GitHub repo - and basically leaked the shortlist of what's actually worth trying.

coding agents. browser agents. memory. research. multi-agent teams. sandboxes.

all sitting on one page.

but everyone opens it and installs the same five names. the interesting stuff is what nobody reposts.

want an AI that hacks your own app before someone else does?

-> Strix
https://t.co/gi7kWVX4I0

want a thousand agents arguing about what happens next, so you get a forecast instead of a guess?

-> MiroFish
https://t.co/qESbV4WUFu

want your agent to know everything you did on your computer this week?

-> screenpipe
https://t.co/pKyPy99ulo

want memory that understands how facts connect, not a pile of old chats?

-> Graphiti
https://t.co/GgepxkkJgc

want an agent clicking through a whole desktop that isn't your laptop?

-> Cua
https://t.co/O6XuEKyXcv

and that's barely scratching it.

~225k stars across five repos most people have never opened.

the real cheat code isn't downloading all of them.

it's opening the repo before you build anything and asking:

"has someone already solved this?"

because there's a pretty good chance the answer is yes - and the open-source version already has thousands of people testing it for you.

I went through the map and pulled out the agents I'd actually start with.

full AI agent list below

[Trending GitHub Repositories @trending_repos]

Trending repository of the day 📈

rea

Reverse engineer anything with agents, from app behavior down to native binaries.

Last 24h: 2,963 ⭐
Total: 6,869 ⭐️
https://t.co/9HkZxH52yN

[Diogo Almeida @CompleteSkeptic]

@svpino as far as we can measure, they very much are (though there is always more intelligence + calibration to have). we have calibration cookbooks in our docs!

[Simplifying AI @simplifyinAI]

so we already have an open source alternative to jev... and it's 6-7x faster?!

it's a typed-decision classification system: no chat, no generated text, just fast yes/no, scoring, or choice answers.

> runs in under 1gb of memory
> free on hugging face
> runs on a laptop, or even a phone

there's a real demo where it plays snake live, making a fresh decision every single move.

two honest limits, straight from the project itself:

> only 512-1,024 token context, some cases won't fit
> weaker generalization than jev out of the box

[Rafael Lima @_rafael_lima]

@farman4x 25?

[The Math Flow @TheMathFlow]

Sine and cosine are the same wave seen from a different perspective.

[Rafael Lima @_rafael_lima]

@Ai_Vaidehi Backend

[1/4 Black Garrett @QTRBlackGarrett]

First article you find in a Resident Evil game

[Fermat's Library @fermatslibrary]

Visual Proof: 1/4 + 1/16 + 1/64 + … = 1/3

three colors, three equal shares.

[Rafael Lima @_rafael_lima]

@CodebyNihan Fable

[Rafael Lima @_rafael_lima]

@sesthegreat_ 48

[Rafael Lima @_rafael_lima]

@xMBGx Ps2