Learning Daily | Clicking buttons @float_xyz @N3RDROOF
Joined May 2022
- Tweets 6,156
- Following 1,171
- Followers 1,129
- Likes 4,399
352 Photos and videos
Pinned Tweet
Mar 12
I built a DVR for financial markets using Pyth Pro.
Markets move in milliseconds but most tools only show the final chart after everything is aggregated. When volatility spikes or spreads explode it is almost impossible to inspect the exact sequence of events.
Market DVR records the market so it can be replayed frame by frame.
Live at dvr.masterwattson.site
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Jun 6
The Memory Reef Breaks
@WalrusProtocol
@at_bellyseal
Make It shows Walrus guarding a decentralized underwater memory reef; Break It mutates the same template into a glitched archive of coral servers and data fragments while keeping Walrus recognizable.
๐ Bonus for anyone already registered for Session 3.
Submit your entry through WalForm too and you could be one of 20 random winners taking home $25 WAL.
WalForm is a form app one of our past Session winners built on Walrus.
Takes a minute. ๐๐ฆญ
walform.wal.app/f?formId=0x7โฆ
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Wattson retweeted
May 26
Took 5 years but here we are
Blockchain oracles are dead
Long live (1st party) financial data providers
May 26
NEWS: Pyth Core is getting an infrastructure upgrade on July 31 ๐ข
But one important change: All Pyth Price Feeds API access will require a Starter or Pro subscription.
More subscriptions โ more revenue โ more PYTH purchases
Everything you need to know ๐งต
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Wattson retweeted
May 25
We are delighted to inform you that โOut of Officeโ is dead
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May 23
Pyth keeps expanding beyond crypto-native assets.
Cocoa, Coffee, Raw Sugar, and Live Cattle futures feeds are now live on Pyth Pro.
Softs, grains, livestock, energy, metals, crypto, FX, equities one market data layer for builders who need real-world prices onchain.
May 18
The softs and a side of beef ๐ฅฉ
Cocoa (CA), Coffee (CF), Raw Sugar (RS), and Live Cattle (LC) future feeds are now live on Pyth Pro.
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Wattson retweeted
May 22
You can leave civilization behind.
But the markets will be inescapable.
June.
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May 14
Built Walrus Feedback for @WalrusProtocol Sessions.
Itโs a Walrus-native form feedback platform with walletless submissions, Walrus storage, Sui provenance, admin triage, CSV export, team roles, and optional Seal-encrypted private responses.
Live app: form.masterwattson.site
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Wattson retweeted
Apr 28
The Pyth Community Hackathon is complete ๐ฎ
A 6-week global build sprint exploring what becomes possible when real market data is open, accessible, and programmable.
The result: high-quality submissions across trading, analytics, prediction markets, and some weirdness in between.
Proud to announce the hackathon winners below:
๐ฅ Ouroboros - @Pstar
๐ฅ Pyth Correlation - @xzolmoney
๐ฅ Market DVR - @masterwattson
๐ Most Creative Use of Pyth Pro - @scp_web3
๐ Best Educational Content - @droo4you
The Pythians turned up, got creative, and built with impact.
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Wattson retweeted
Apr 22
our boi @masterwattson built a dopamine simulator for financial markets.
83,000 data points archived. Every Pyth Pro tick across 16 assets โ crypto, forex, commodities โ with millisecond timestamps.
Shit your pants at 3am with a god candle? Rewind it frame by frame. First party data doesn't lie.
dvr.masterwattson.site
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Mar 23
Mar 12
I built a DVR for financial markets using Pyth Pro.
Markets move in milliseconds but most tools only show the final chart after everything is aggregated. When volatility spikes or spreads explode it is almost impossible to inspect the exact sequence of events.
Market DVR records the market so it can be replayed frame by frame.
Live at dvr.masterwattson.site
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Wattson retweeted
Mar 19
Introducing Pyth Pro X.
Institutional market data built for exchanges.
One subscription. Every asset class. No exchange fees, no redistribution barriers, no vendor lock-in.
Powering @coinbase, @cryptocom, @tradexyz, @Dreamcash, @bitget, @BitMEX, @LMAX, and others.
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Wattson retweeted
Mar 14
๐จ BREAKING: Pyth has secured $100B in volume on Hyperliquid
Always-on, 24/7 markets are powered by Pyth on @tradexyz and @Dreamcash
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Mar 12
I built a DVR for financial markets using Pyth Pro.
Markets move in milliseconds but most tools only show the final chart after everything is aggregated. When volatility spikes or spreads explode it is almost impossible to inspect the exact sequence of events.
Market DVR records the market so it can be replayed frame by frame.
Live at dvr.masterwattson.site
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Mar 12
Pyth Pro makes this possible because of the resolution and the confidence signal.
High frequency updates combined with confidence data allow the system to capture market structure changes that normal feeds smooth out.
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Mar 12
The goal is simple.
Markets should be inspectable.
Just like engineers replay logs to debug complex systems, analysts should be able to replay the market to understand volatility events.
This is the idea behind Market DVR built with Pyth Pro.
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