Bitquery.io ( Bloxy )

2.3K posts

Bitquery.io ( Bloxy ) banner
Bitquery.io ( Bloxy )

Bitquery.io ( Bloxy )

@Bitquery_io

Streaming Useful Trading Data on TRON, Solana, ETH, BSC | Try https://t.co/SQNXvxAczM and @DEXRabbit_Com | https://t.co/DVrTOHcCN4 on Telegram

New York, USA Inscrit le Eylül 2018
111 Abonnements6K Abonnés
Bitquery.io ( Bloxy )
Bitquery.io ( Bloxy )@Bitquery_io·
@papa_couch Prop trading firms face this attack too. Even with KYC in place, bad actors still use mule accounts and follow the same attack pattern you described.
English
1
0
1
60
Potato
Potato@rdbotato·
A coin graduates from Pump.fun. Days later it rips 20x or more. You never even knew it existed. No screener shows you what's moving after the bonding curve. DexScreener buries them. Axiom doesn't track them. Also, you just see the chart after it's too late. So I built one. Real-time bubbles for every graduated memecoin on Solana. memebubbles.io
Potato tweet media
English
121
106
1.1K
124.9K
Kunal Doshi
Kunal Doshi@Kunallegendd·
A look into how @Polymarket crude oil markets compare against traditional WTI April options in pricing geopolitical risk. With tensions pushing WTI toward $100, I compared two markets pricing the same event: -Polymarket’s “Will WTI settle ≥ $100 by end of March?” -The probability implied by CME crude oil options To make the comparison fair, I converted raw option prices into an equivalent touch probability, matching the same barrier structure Polymarket uses. The divergence is striking. For most of March, Polymarket priced the event 10–30 percentage points higher than the options market. When WTI surged to $91, options markets repriced almost instantly. Polymarket lagged, then overshot as momentum traders piled in. When oil later fell to $83, options markets quickly adjusted while Polymarket held elevated probabilities for nearly two days. One caveat: Polymarket resolves against the active month WTI contract, which rolls from March to April during the window. If April trades above March as escalation risk builds, the $100 barrier becomes slightly easier to reach, pushing the true options-implied probability closer to Polymarket’s odds. That said, liquidity likely explains most of the gap. Large traders can express commodity views in size on venues like Hyperliquid, but Polymarket books remain relatively thin. A ~$1k trade currently incurs ~0.8% slippage, high by commodity market standards. If deeper liquidity arrives through market makers or internal liquidity programs, volumes could scale quickly and prediction market probabilities may start converging with traditional derivatives markets.
Kunal Doshi tweet media
English
3
6
33
4.7K
Bitquery.io ( Bloxy )
Bitquery.io ( Bloxy )@Bitquery_io·
The prediction market currently anticipates a moderate decline in U.S. crude oil reserves, likely settling around the mid-330M range by May 1. From the data 👇 P(reserves < 375M) ≈ high P(reserves < 350M) ≈ moderate P(reserves < 325M) ≈ ~50% P(reserves < 300M) ≈ low Understand Crude Oil sentiment on Polymarket through real-time stats via @Bitquery_io API -> ide.bitquery.io/Crude-Oil-mark…
English
0
2
1
157
Bitquery.io ( Bloxy ) retweeté
divyasshree
divyasshree@divyasshree_·
@ethmumbai tomorrow. Real-time pool/slippage/signals data without data limits or byte costs —> if that's what you need, let's chat. We help teams stream it. @Bitquery_io
English
0
3
3
312
Bitquery.io ( Bloxy ) retweeté
Rachit.sol
Rachit.sol@Rachit_twts·
built: signal-six-lime.vercel.app real-time Solana trading signal terminal powered by @Bitquery_io Kafka Streams, streaming raw DEX trades directly from Solana → real-time whale trade detection ($10k+ swaps across Solana DEXs) → new token discovery as soon as liquidity appears → volume spike alerts when trading activity accelerates → live signal dashboard with token scoring, history, and price activity under the hood is @Bitquery PROTO Kafka streams for raw Solana DEX trades next: adding momentum detection to surface tokens before they trend thanks @Bitquery_io for the Kafka streams access checkout docs: docs.bitquery.io/docs/streams/k…
English
0
1
6
244
Bitquery.io ( Bloxy )
Bitquery.io ( Bloxy )@Bitquery_io·
Prediction markets are data-rich—if you can access the data fast. Today, we’re sharing a look at some Polymarkets analytics built on top of our new Prediction Market APIs. With these APIs, you can pull: - Latest market trades - Market metadata & management - Volume + liquidity - Outcomes / resolution data And more You can query historical + real-time datasets, and if you need live feeds at scale, we also stream real-time prediction market data via: - WebSockets - Kafka If you’re building trading/monitoring dashboards, research pipelines, alerting, or market intelligence—this is designed for you. Want access / docs / a quick demo? Comment “API” or DM me. Check our data dexrabbit.com/polymarket-pre… docs.bitquery.io/docs/examples/… cc @DEXRabbit_Com #PredictionMarkets #Polymarket #Prediction
GIF
Bitquery.io ( Bloxy ) tweet mediaBitquery.io ( Bloxy ) tweet mediaBitquery.io ( Bloxy ) tweet media
English
2
2
10
1.2K