Zhiao biefong

[deepcharts ™ @Deepcharts]

lol

[PolymarketHistory @PolymarketStory]

Somebody made $860,000+ in one day

This wallet made $300k just from yesterday's UFC fight trades

He has traded over 12,000 times with a total volume of $1.3b

His current positions are worth $2,100,000+

[OpenMarket @openmarket_xyz]

Lighter is now live on OpenMarket, with 208 markets.

120 crypto perps, plus 50 stocks and pre-IPO names like NVDA, OpenAI and Anthropic, and FX, gold and oil.

Every perp comes with full order flow data, including footprints, a live order book heatmap, open interest, funding and liquidations.

[Luckshury @Luckshuryy]

After an aggressive expansion the only level I care about is the high volume node on the pullback.

That's the must hold level for another leg up.

[Luckshury @Luckshuryy]

what a failed auction looks like in real-time (footprint)

[OpenMarket @openmarket_xyz]

All second intervals and tape mode are now free on OpenMarket.

We're giving you 1s, 5s, 15s and 30s candles on every major crypto exchange, with tape mode on top. Other sources will follow shortly.

Tape mode is the order book and every trade, live, one second at a time. Zoom in and you see every single order in the book.

[Ted @TedPillows]

$ETH is being shorted too aggressively here.

Damnn...

[Miles Deutscher @milesdeutscher]

Hyperliquid ($HYPE) perps are officially live on Bloomberg Terminal!

Pretty insane to see this in action.

[Michael McDonough @M_McDonough]

Hyperliquid perps, live on the Terminal:

[OpenMarket @openmarket_xyz]

TradingView charges $2,399 a year to plot 16 charts on one screen.

Starting today, you can do the same for free on OpenMarket.

Everyone now gets:
→ up to 16 charts per layout, any grid from 1x1 to 4x4
→ no limit on classic indicators: RSI, MACD, moving averages, Bollinger and more
→ 5,000+ economic series from 200+ countries and 50+ central banks

And beyond candles: footprints from every trade, not estimates, and live order book heatmaps from real depth, on crypto, CME futures and more.

Every market, one terminal:
• US stocks and tokenized stocks
• Crypto
• CME futures
• Forex, commodities, indices
• Prediction markets
• Macro: CPI, GDP, rates, M2 for 200+ countries

https://t.co/U91agdMf58

[SabrTrader @SabrTrader1]

This is Sabrtrader. Six panels. Zero lag. Every edge you need on ES.

Footprint • volume profile • liquidity heatmap • one-click DOM • order flow — one platform, no more tab-switching.

[Ted @TedPillows]

Leverage in the crypto market is now at its highest level since October 10th.

You guys really need to chill a bit.

[Suraj Sharma @suraj_sharma14]

If you learn inference infra, you will never be unemployed again.

Stage 1: Systems Foundations
C/C++ or Rust basics, Python performance, Linux, memory hierarchy, CPU vs GPU execution.

Stage 2: GPU Architecture Fundamentals
CUDA cores, tensor cores, VRAM, memory bandwidth, SM occupancy, nvidia-smi profiling.

Stage 3: Transformer Inference Anatomy
Prefill vs decode phases, KV cache growth, attention memory math, arithmetic intensity.

Stage 4: Serving Engines
vLLM, SGLang, TGI: continuous batching, PagedAttention, scheduling, throughput vs latency.

Stage 5: KV Cache Optimization
Prefix caching, chunked prefill, KV quantization, cache offloading, multi-turn reuse.

Stage 6: Quantization and Compression
FP8, INT8, AWQ, GPTQ, sparsity; measuring quality drop against speed gains.

Stage 7: Speculative Decoding and Parallelism
Draft-target models, Medusa heads, tensor vs pipeline parallelism tradeoffs.

Stage 8: Kernel-Level Optimization
Triton kernels, FlashAttention, CUDA graphs, operator fusion, Nsight profiling.

Stage 9: Distributed Inference
Multi-node serving, NVLink and InfiniBand, disaggregated prefill/decode, MoE expert parallelism.

Stage 10: Autoscaling and Economics
Queue-based scaling with KEDA, cold starts, spot GPUs, cost per token, MFU utilization.

Stage 11: Gateway, Routing, and Reliability
AI gateways, fallback chains, rate limits, TTFT and ITL SLOs, observability, chaos testing.

Stage 12: Portfolio and Benchmarks
Self-hosted cluster, published latency/throughput/cost benchmarks, kernel optimization writeups.

Most people stay stuck watching tutorials.

Builders get hired.

(Bookmark it)

[Ted @TedPillows]

Someone just opened a $70,100,000 $BTC short with 40x leverage.

Liquidation Price: $80,103

[VALIX @RetroValix]

This guy built an HFT algorithm on Polymarket that buys markets with an average trade size of just $27

Result: +$1,365,350

His bot trades short crypto Up/Down markets using directional repricing, dynamic hedging, and near-resolution sniping:

1. Continuously recalculates fair value and adjusts directional exposure

After the market starts, it compares the reference price with a fast spot feed and estimates the probability of Up and Down. If it detects a mispricing, it enters a position

If the signal gets stronger, it keeps buying the same outcome. If the market reverses, it starts buying the opposite side as a hedge

2. Concentrates larger size on outcomes that are almost decided

As the market approaches resolution, the bot starts building its largest positions on the dominant outcome near 99c

His Polymarket username: Bonereaper

You can trade on Polymarket and copy the top-performing traders here:

https://t.co/RWGHhTTIPV

Copytrading currently has 0% fees on this tool

[Ricker @0xRicker]

300 agents shouldn’t be running all day. they should just appear for 28 minutes, finish the job, and disappear until next task

the bigger an agent swarm gets, the less the individual agent matters.

what matters is the system connecting them.

100 agents can create up to 4,950 possible pairwise relationships.

300 = 44,850.

when a real signal appears, it spins up the workforce:

1 trigger
→ 100–300 Kimi agents
→ 5 live data feeds
→ up to 4,000 steps
→ verified artifact

and that’s before adding:

sources → claims → memory → tool calls → contradictions → retries

so the architecture has to continuously compress all that activity into one shared state.

more agents gives you more compute.

the graph is what stops that compute from turning into noise.

[Swapna Kumar Panda @swapnakpanda]

Go GOD LEVEL in Agentic AI by finishing these Courses w/ Projects:

[Ted @TedPillows]

Big Week Ahead For Crypto Holders 🚨

▫️ 8th September: US market opens after US-Iran escalation, Fed's closed board meeting

▫️ 9th September: Treasury's $12,500,000,000 debt buyback

▫️ 10th September: US PPI and Core PPI data

▫️ 11th September: US CPI and Core CPI data

This week's data is primarily focused on inflation, which will confirm the Fed's interest rate decision.

If inflation gets hotter, rate hike odds will go up.

If inflation shows signs of cooling, rate pause odds will go up.

[Ted @TedPillows]

The next 2 weeks could decide crypto’s next major move.

The market has multiple catalysts stacked on top of each other:

• PPI Thursday
• CPI Friday
• CLARITY Act vote Sept. 15
• Fed decision Sept. 16, with hike odds around 60%

That’s a lot of potential volatility packed into a very short window.

And the truth is, nobody knows which way this breaks.
That’s exactly why I’m not chasing.

When uncertainty is this high, patience matters. Let the data, the Fed and the political headlines reveal the direction.

I’d rather react to confirmation than force a trade based on a guess.

[Crypto Rover @cryptorover]

BREAKING: Historical Bitcoin Bull Market signal called the "Supertrend" flips GREEN.

This signal predicted every bull market in $BTC history!