As someone who builds institutional-level quant systems, this is the closest thing to a quant desk i've seen publicly shared.
Feed these 151 trading strategies pdf to grok bot & build a one-person AI hedge fund that prints alpha 24/7 (full guide below) BOOKMARK NOW.
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robert engle won the nobel prize in economics for proving something hedge funds already knew
they never bothered to mention it to retail
price direction is mostly noise. but volatility? predictable. mathematically, provably, across every liquid market ever studied
it clusters - that's not a pattern someone found, it's a structural law. high vol today predicts high vol tomorrow with 70%+ historical accuracy
the model is called GARCH. published in every econometrics textbook on earth, chapter 4, about 60 lines of python to run
quant desks at citadel and D.E. Shaw don't ask "will it go up?" - they ask "will the next move be large or small?"
because sizing correctly inside a vol regime is worth more than being right on direction
a trader right 48% of the time who sizes with vol awareness beats someone right 62% of the time sizing blindly - every time, over any long enough sample
run it on 10 years of SPY data:
> low vol state -> 74% chance next session stays low vol
> vol spike -> 81% chance next session is also elevated
now you're not predicting markets. you're reading a state machine the market keeps filling in for you every single session with real data
the predictable part of markets was never price direction
it was the distribution of price. the size of the moves. which regime you're currently inside
math is free, data is free, implementation is free
you were just told to stare at candlesticks instead
Bookmark this before the feed buries it
I’ve been forward-testing and deploying this Nifty weekly-expiry strategy live every trading day, and the numbers are getting interesting.
81 trading days
₹3.72L NET P&L
16.57% NET return
Only 2.23% max drawdown
2.59 Profit Factor
4.74 Sharpe
61.5% winning days
5/5 positive months
Most importantly, these are NET numbers after estimated trading costs, not a backtest headline.
I’m sharing the complete TradeTron deployment report below.
This is still a forward test, no claims, no hype. Just live data.
The next milestone is simple: let the strategy run through more market conditions and see whether the edge survives.
Let the data speak.
Total Lots 10
Tired of stock "tips" with no reasoning behind them? WealthStar ranks all 500 NSE stocks by relative strength and tags each one's Weinstein stage - refreshed daily. A transparent screen you can verify, not advice to follow. Built by a CA + CPA. Educational analysis only.
Every trader should use this website.
You can access 797,000 trading strategies for free.
Every one comes with the profit factor, drawdown, trade count and win rate.
Search, copy the code and backtest the strategies with Claude.
The website is https://t.co/eChh7hBdNg.
A Yale professor who saw the 2008 crash coming taught the entire theory of finance, for free, better than a $200,000 MBA ever could.
Almost nobody watches it to the end.
300 agents just finished your research in 40 minutes. congrats, now go read 300 documents.
that's what a swarm gives you. a pile.
the useful part isn't in any single one of them. it's in how they link up. 100 assets have 4,950 possible connections between them.
nobody holds that in their head.
kimi agent swarm keeps the links. 300 agents in one launch, up to 4,000 steps. every asset and every wallet an agent touches becomes a node. two agents hit the same counterparty, it draws an edge between them.
you don't get 300 answers. you get one map.
point it at your own trading portfolio and the picture gets uncomfortable. positions you thought were unrelated land in the same cluster, because the same market maker quotes all of them.
one bridge lights up as the hub half your holdings route through. that's your single point of failure, and nobody asked for it in the prompt.
Renaissance hedge fund keeps around a hundred PhDs on staff to catch things like that.
it also doesn't die when you close the tab. next launch adds to the same graph.
that's the gap opening right now. one guy re-reads 300 docs every week. the other one has a base that gets smarter every run.
my friend broke down the full framework and wrote the guide in the article below. read it, then go look at what your last agent run left you with.
I was travelling in Himachal when @ybhrdwj dropped this banger.
was already missing the pahadi bangers on the bus ride, so had to make my own version.
https://t.co/KJvqNQRZ3X
My exact systems for trading with Volume
In this article I'll share:
- Volume Trading Strategies
- Liquidity Filters
+ Live Trade Examples
Includes a free cheat sheet (download).
Enjoy↓
There's a famous technical study called Bollinger Bands. It covers trend, momentum, and volatility all in one, because that band automatically adjusts itself."
"Out of 750 stocks, I only want stocks closing beyond 3.7 standard deviations. Normal setting is 2 standard deviations, that already covers 95% of all price points. At 3.7, you're going up to 99%. You're only picking that top 0.5-1% of stocks."
"Why 3.7? I used this in prop trading first, then rolled it out on smallcase in 2023. If the price closes beyond 3.7 standard deviations on a Friday, you buy at Monday's opening price. That's it."
In an interaction with @sanjaykathuria@RakeshPujara1 (Founder, Compounding Wealth Advisors LLP)
has revealed complete strategy with detailed rules
Do watch : 👇👇
Watch Full Podcast : https://t.co/bTu0ztAwNf…
Discl: Strategies/stocks discussed are not a recommendation. Please consult a SEBI/SEC regd. advisor.
Imagine a mind that's finally on your side.
Your thoughts respected, your reassurance immediately soothing doubt, comparison no longer holds you back.
Once you've pictured it, I invite you to practice the exact protocol that unlocks this for you, access here: https://t.co/ReGhnuKrZf
since y’all asked, here’s the exact prompt i used to build it.
steal it, remix it, make something weird ↓
PROMPT:
Build a complete, production-quality single-page music website inspired by the attached reference image.
Working title: QUARTER ROOM
Tamil title: குவாட்டர் ரூம்
Tagline: தமிழ் குடிகாரர்களின் அதிகாரப்பூர்வ ரேடியோ
The product is a cinematic Tamil music player for drinking songs, soup songs, breakup songs and late-night Tamil melodies. It should feel like entering a living Tamil street scene, not like browsing another Spotify playlist directory.
Technical foundation
If the repository already has a working frontend, preserve its stack and adapt it.
Otherwise, use Next.js App Router, TypeScript and Tailwind CSS.
Keep it as a single-page website.
No authentication, database, dashboard, backend or payments.
Build clean, reusable components without overengineering.
Make the page fully functional, responsive and deployment-ready.
Do not stop after producing a rough scaffold.
Run the project, inspect the result and fix visual, responsive and console issues.
Main experience
The entire browser viewport should be a cinematic illustrated Tamil street at evening.
The composition should resemble the reference:
Full-screen atmospheric illustrated background.
A small red Tamil bar/shop at the centre.
Chennai or Tamil Nadu street architecture.
Banana leaves, electric wires, plastic chairs, parked scooter, tea-shop details and warm street lights.
A few friends sitting together outside the shop.
Deep blue evening sky contrasting with warm red and orange buildings.
Subtle grain, texture and imperfect hand-painted details.
The interface should feel embedded into the scene.
Do not make it look like a standard SaaS landing page.
No white cards, feature grids, pricing sections, testimonials or conventional hero layout.
Do not copy the reference artwork directly. Create an original Tamil environment using local SVG/vector artwork, CSS layers and gradients.
Do not depend on random remote stock images.
If a background asset is required, create a polished local SVG illustration and store it inside /public.
The page should occupy exactly the viewport on desktop with no unnecessary scrolling.
Header
Place a minimal transparent header over the illustration.
Top left:
Live local time in 12-hour format.
Update automatically every minute.
Small Tamil Nadu/Chennai location label beneath it.
Top centre or slightly right:
A small pulsing green dot.
Text: “LIVE”
Do not show a fake listener count.
Top right:
Spotify icon and label.
YouTube Music icon and label.
Clicking either changes the active music provider.
Clearly indicate the selected provider.
Keep the styling minimal and integrated with the scene.
Central identity
Place the Tamil title prominently on the building:
குவாட்டர் ரூம்
Under it, display:
தமிழ் குடிகாரர்களின் அதிகாரப்பூர்வ ரேடியோ
The Tamil typography must be large, confident and readable.
Use a Tamil-compatible font such as Noto Sans Tamil. Pair it with a clean sans-serif font for English text. Ensure font loading does not break the page if the external font fails.
The title should feel painted or mounted onto the building, not floating randomly in the viewport.
Music stations
Create five curated mood stations:
கடை திறந்தாச்சு
Description: “Full TASMAC energy”
Mood: energetic red and orange street scene.
அவள நினைச்சா
Description: “Love failure. Full volume.”
Mood: darker red with subtle rain and lonely lighting.
மணி 2:17 AM
Description: “Everyone suddenly became silent.”
Mood: deep blue terrace or empty late-night street.
அவன் நினைச்சா
Description: “Soup songs are not just for the boys.”
Mood: purple and warm bedroom or bus-window lighting.
பழைய சரக்கு
Description: “Ilaiyaraaja, Rahman and old wounds.”
Mood: dim amber 80s/90s bar atmosphere.
Add a small “Change mood” button near the music player. Clicking it should open an elegant station selector above the player.
Each station card should show:
Tamil station name.
Short English description.
A distinct colour.
A simple illustrated icon.
Active station indicator.
When the station changes:
Crossfade the background colours and environmental overlays.
Update the station title.
Load the corresponding provider playlist.
Keep transitions smooth and restrained.
Do not reload the page.
On mobile, the station selector can become a bottom sheet.
Playlist configuration
Keep every playlist URL and ID inside one easy-to-edit configuration file such as:
src/data/stations.ts
Each station should support:
id
nameTamil
nameEnglish
description
accentColor
backgroundVariant
spotifyPlaylistUrl
spotifyPlaylistId
youtubePlaylistUrl
youtubePlaylistId
Use these public playlists initially:
கடை திறந்தாச்சு
Spotify:
https://t.co/EVwgaAIcAd
YouTube playlist ID:
PLxQpegrlImYt1j0PXBEl1-BO3n57kbTDC
அவள நினைச்சா
Spotify:
https://t.co/w2QPgsM2jt
YouTube playlist ID:
PL5Zj_jk7tf5oCbRDVI2noHRi3l4JyL07h
மணி 2:17 AM
Spotify:
https://t.co/VfKemV073M
அவன் நினைச்சா
Spotify:
https://t.co/bWAcXt5tqE
பழைய சரக்கு
Create a clearly marked configuration placeholder so the playlist can be inserted later.
Never scatter playlist URLs across components.
Music player
Place one floating player at the bottom centre, matching the composition of the reference.
The player should look like a long translucent pill with:
Dark warm glass background.
Soft blur.
Thin highlight border.
Subtle shadow.
Rounded ends.
Album artwork on the left.
Song title.
Artist name.
Current station name.
Previous button.
Large central play/pause button.
Next button.
Progress bar.
Current time and total duration.
Provider indicator.
“Open in Spotify” or “Open in YouTube Music” link.
The player should be approximately 620–720px wide on desktop and nearly full-width on mobile.
Do not build decorative controls that pretend to work.
Spotify playback
Use Spotify’s official embed or iframe API.
Load the active station playlist.
Connect play and pause actions where officially supported.
Display the official embedded player in a compact, visually integrated form.
Do not illegally hide mandatory Spotify branding.
Do not request a Spotify client secret.
If browser or Spotify restrictions prevent a custom control from working, disable that control and rely on the official Spotify embed.
Always include an “Open in Spotify” fallback.
YouTube playback
Use the official YouTube IFrame Player API.
Embed playlists using:
https://t.co/sI3VQw0HW2
Connect play, pause, previous, next and progress updates.
Use playsinline=1.
Do not autoplay with sound before user interaction.
Add an “Open in YouTube Music” link using the corresponding playlist URL.
Handle unavailable, private or region-blocked videos gracefully.
Initial interaction
Because browsers block autoplay, show a tasteful first-entry overlay:
Title: ஒரு mood தேர்ந்தெடு.
Buttons:
கடை திறந்தாச்சு
அவள நினைச்சா
மணி 2:17 AM
அவன் நினைச்சா
பழைய சரக்கு
After the user chooses a mood:
Close the overlay.
Set that station as active.
Begin playback only through the user’s click.
Remember the selected mood and provider in localStorage.
Track information
When the provider exposes metadata, show:
Track title.
Artist.
Artwork or video thumbnail.
Current playback position.
Duration.
While metadata is loading, use an elegant skeleton state.
If metadata cannot be retrieved, show the station name and provider without inventing track information.
Animation and atmosphere
Add restrained ambient animation:
Slight movement in banana leaves.
Gentle light flicker.
Occasional passing shadow.
Slow grain movement.
Small smoke or steam effect near the shop.
Subtle rain only for the heartbreak station.
Very slow background parallax based on pointer movement.
Player entrance animation after mood selection.
Animations must remain subtle and should never distract from playback.
Respect prefers-reduced-motion.
Responsive behaviour
Desktop:
Full illustration visible.
Tamil title centred on the building.
Player at bottom centre.
Header aligned to the viewport edges.
Mood selector expands above the player.
Tablet:
Preserve the full cinematic composition.
Slightly reduce title and player width.
Mobile:
Use 100dvh.
Reframe the illustration vertically instead of merely shrinking it.
Keep title readable.
Header must not overlap.
Player becomes a compact bottom player.
Station selector opens as a bottom sheet.
Keep touch targets at least 44px.
Avoid horizontal scrolling.
Account for iPhone safe areas.
Visual standards
Use dark red, burnt orange, faded coral, midnight blue, dusty green and warm cream.
Avoid neon gradients, generic glassmorphism and overly clean corporate styling.
Use glass effects only for the player and small controls.
Add subtle paper, film-grain and paint texture.
Maintain strong text contrast.
Keep every text element deliberately positioned.
No words should appear randomly around the screen.
Avoid oversized empty areas.
All alignment should follow a consistent visual grid.
The experience should look intentional at 1440px, 1024px, 768px, 430px and 375px widths.
Accessibility and quality
Use semantic HTML.
Add accessible labels to every control.
Support keyboard play/pause using the spacebar when focus is not inside an interactive element.
Add visible focus states.
Ensure the station selector can be navigated by keyboard.
Escape should close overlays.
Avoid hydration errors.
Avoid console warnings.
Lazy-load provider embeds where possible.
Do not expose API keys.
Add error and empty states.
Add a small responsible drinking line in the bottom corner:
“Drink responsibly. இசை மட்டும் unlimited.”
Metadata
Page title:
Quarter Room | Tamil Soup Radio
Description:
Tamil drinking songs, soup songs and late-night heartbreak playlists in one cinematic radio experience.
Create a simple matching favicon using the Tamil letter “கு” or a quarter-glass silhouette.
Final acceptance criteria
The work is complete only when:
The page feels visually close in quality and atmosphere to the supplied reference.
It is an original Tamil street illustration.
A user can select a mood.
Spotify playlists load correctly.
YouTube playlists load correctly where IDs are provided.
Provider switching works.
Player controls work wherever supported by the official APIs.
Playback restrictions are handled honestly.
The selected station persists after refresh.
The page works on desktop and mobile.
There are no broken controls, random text placements, layout overflows or console errors.
The site looks like a finished cultural music experience, not a template.
Build the complete implementation now. Do not return only a plan. After implementation, run the application, test every interaction and refine the visual alignment until it is polished.
An Indian physicist put the entire secret behind Renaissance's $100 billion on one chalkboard: a coin that barely beats 50/50.
he is V. Balakrishnan, and his lecture went viral years after he recorded it. it has been free the whole time. almost nobody who trades has watched it.
lecture one is the humblest thing in all of finance. a coin that lands your way a little more than half the time. that is the entire edge. that is all Renaissance ever had.
the post above is the one equation for what to do with that coin. not what to bet. how much. bet too little and you die of old age. bet too much and one flip ends you.
that same coin is every trade, every hand, every prediction market. a tiny edge, flipped a million times. the whole machine fits on his board, and he charged nothing for it.
no slides. no notes. one coin and a stick of chalk.
a quant I know says this old Indian lecture taught him probability better than his entire degree.
the coin is free. the equation is free. the discipline to size it is the only thing left to earn.