Deciphering Market Physics. Complexity, translated. 📈 🔑💲 Disclaimer: This is for educational and informational purposes only. Not financial advice.
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🤖 The AI trade cracked this week: 📉
• Semis −11.4% (SOX, 8 straight down days)
• CoreWeave −25%; bonds 76–81¢, CDS ~1,200bp on $51B debt
• Fear spread to software: CrowdStrike −17%
• Equal-weight S&P's best week vs tech since 2009
Rotation: from promises to proof.
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$INTC is a turnaround priced like a victory lap. Read the filing numbers instead of the narrative. 📊📈📉
Financing: Intel sold $20B of stock at $95 in August. Shares now trade below it. Adjusted free cash flow was -$8.4B last quarter. Capex has exceeded operating cash flow every year since 2022. The turnaround is funded by shareholders, not operations.
Foundry: -$2.1B a quarter. External revenue ~$1B annualized. TSMC does ~$150B. Server CPU share fell 77% → 53%. TSMC's CEO publicly questioned Intel's packaging moat. The Tesla 14A deal is real. The volume is years away.
Valuation: ~58x forward earnings for a foundry that doesn't exist in the numbers yet. JPMorgan just upgraded — to Neutral, target $85. Earnings print Oct 29, the day after the FOMC. The price has already voted: -36% from the June peak.
Not financial advice. For educational purposes only.
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Jev has been exploding in popularity recently.
If you already have access to the Jev API but aren’t sure how to start experimenting with it, just copy this checklist:
1. agent-desktop
Desktop automation. Read the system's accessibility tree, judge which button, menu, or input field to click next. github.com/lahfir/agent-desk…
2. typesafe-mario
Have Jev play Super Mario. No screenshots—just read the structured state in the emulator's RAM, then decide to run, jump, or dodge. github.com/fhshaik/typesafe-…
3. jev-drone
Use Jev to control a drone. The underlying flight control still handles stability and safety; Jev just does higher-level judgments like climbing, braking, and navigating obstacles. github.com/RomanSlack/jev-dr…
4. OneVOneJev
1v1 FPS in the browser. Every decision tick, judge movement, view angle, aiming, firing, and jumping. github.com/emrickgarrett/One…
5. jev-trader
High-frequency market making on Monad testnet. Jev judges the next buy or sell based on spreads and trade direction, with model latency around 81ms. github.com/jarrodwatts/jev-t…
6. Prism
Doesn't directly have Jev place orders. It judges states like toxic flow, market pressure, mean reversion, etc., then hands off to the original strategy. github.com/irfndi/prism-liqu…
7. neo4jev
Stuff Jev into a knowledge graph. At each node, judge the most worthwhile edge to take next, then follow it all the way. github.com/jexp/neo4jev
8. jev-curate
Use Jev to screen training data. For JSONL / Parquet, first judge quality, relevance, and risk, then decide which ones go into the next training round. github.com/AkashPriyadarshii…
9. Canny
Prevents Coding Agents from stubbornly claiming they're done. Look at tool outputs, code diffs, and test results, then judge if the completion claim is reliable. github.com/qkal/Canny
10. killmyidea
Input a startup idea, and Jev scores it from multiple angles, finally giving you KILL, FIX, or SHIP. github.com/monteduro/killmyi…
Copy these complete Jev blueprints - then read full Jev setup below ↓ ↓
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this is f*cking gold
12 open-source repos that plug Jev into real AI work, 550.7k stars combined
Jev decides, your LLM writes. these repos are where that split already runs:
agents
> browser-use/jev-ultrafast (~20.3k): Jev picks the next action + DOM element, a small LLM only types. Zürich to London flights in ~7s
github.com/browser-use/jev-u…
> awlevin/typesafe-computer-use (~978): macOS computer use, OCR reads the screen, Jev picks the next click
github.com/awlevin/typesafe-…
local decision models
> jaredpalmer/kev (~7.1k): Jev-like models on Qwen, same /v1/systemone wire format
github.com/jaredpalmer/kev
> mizorewww/laya-mlx (~6.4k): Laya, the main open Jev-style engine, running on Apple silicon
github.com/mizorewww/laya-ml…
> TheoLeeCJ/SemIf-OpenJev (~4.3k): local semantic ifs from frozen open models, not a TypeSafe project
github.com/TheoLeeCJ/SemIf-O…
> contrastive-lm/clm (~1.3k): open System One model with a Choice / Noul / Score API
github.com/contrastive-lm/cl…
> vinnylarouge/jevlike (~1.3k): community trainer and tooling for your own Jev-like model
github.com/vinnylarouge/jevl…
context + skills
> tamaratran/fast-jev-compaction (~6.9k): Claude Code plugin, Jev keeps, drops or truncates tool results instead of summarizing context
github.com/tamaratran/fast-j…
> typesafe-ai/skills (~2.2k): official TypeSafe skill for Claude Code and Codex
github.com/typesafe-ai/skill…
trading
> jarrodwatts/jev-trader (~2.4k): one Jev buy/sell decision per Monad block
github.com/jarrodwatts/jev-t…
catalogs
> yibie/awesome-jev (~1.7k): the biggest map of Jev projects and discussions
github.com/yibie/awesome-jev
> Anil-matcha/awesome-jev-by-typesafe (~851): use cases, patterns and starter code
github.com/Anil-matcha/aweso…
start with jev-ultrafast
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MarketDecoder.io retweeted
Jev is the FASTEST AI model ever built for trading
It makes calibrated buy/sell decisions in under 100 ms
That is one real decision on every single block, 24/7
In this article I've shown EXACTLY how to build HFT trading system with Jev (from scratch)
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Know what flips the book.🤔📈📉
01 💰
Fed pause or dovish hike
Soft inflation, weaker jobs or “we’ve done enough” language would pull hike odds down. Banks lose NII momentum; utilities, REITs, builders and software re-rate higher.
02 🛢
Oil supply resolution
Iran diplomacy, full Saudi pipeline normalization or more OPEC+ barrels breaks the $100+ Brent pillar. XOM and correlated commodity exposure weaken while inflation pressure eases.
03 📖
Weak data or credit event
A PMI rollover, jump in claims or credit accident ends the hiking story abruptly. Bank reserve risk rises while long-duration technology and homebuilders can rally on rate relief.
04 👔
Policy relief
Tariff or immigration-policy changes around the November midterms could ease goods and construction-cost inflation, taking pressure off the long end.
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MarketDecoder.io retweeted
Bookmark this first. Once it scrolls away, you will not find it again.
Regular people read the news. Rich people read holdings.
50 Free Websites That Show What Billionaires Are Buying and Reading
1.) dataroma.com/m/home.php → Latest holdings of Buffett-class investors
2.) whalewisdom.com → Hedge fund 13F buy/sell tracker
3.) capitoltrades.com/ → The public ledger of U.S. lawmakers’ stock trades
4.) openinsider.com → Whether the CEO is buying or heading for the exit
5.) sec.gov/cgi-bin/browse-edgar → Official filings search
6.) sec.gov/edgar/searchedgar/co… → 10-Ks, 13Fs, and source documents
7.) berkshirehathaway.com/letter… → The complete Buffett shareholder letters
8.) buffett.cnbc.com→ Video library of annual meeting Q&A
9.) oaktreecapital.com/insights → Marks’ cycle memos
10.) bridgewater.com/research-and… → Bridgewater’s public research
11.) principles.com → Dalio’s principles, free to read
12.) gmo.com/americas/research-li… → Grantham’s extreme-valuation notes
13.) aqr.com/Insights → Serious research from a quant shop
14.) pages.stern.nyu.edu/~adamoda… → Damodaran’s market-wide valuation tables
15.) aswathdamodaran.blogspot.com → The valuation professor explaining the principles
16.) collaborativefund.com/blog → Columns from the author of The Psychology of Money
17.) fs.blog/mental-models → Decision models that reduce unforced errors
18.) am.jpmorgan.com/us/en/asset-… → JPMorgan’s quarterly markets handbook
19.) ark-invest.com/research → High-growth theme research
20.) paulgraham.com/articles.html → Foundational Silicon Valley venture essays
21.) csinvesting.org → Homework-grade value investing notes
22.) gsb.columbia.edu/valueinvest… → Columbia’s value investing archive
23.) fred.stlouisfed.org → Fed raw data, unfiltered by media
24.) federalreserve.gov/monetaryp… → Rate decisions and the dot plot
25.) data.ecb.europa.eu → ECB database
26.) bis.org/publ/index.htm → Bank for International Settlements reports
27.) data.worldbank.org → Country-level economic base tables
28.) macrotrends.net → 20- to 50-year charts on a single company
29.) gurufocus.com → Free financials and guru-holdings doorway
30.) companiesmarketcap.com → Who the real global giants are right now
31.) finviz.com/map.ashx → Heatmap of the entire market
32.) portfoliovisualizer.com/back… → Historical portfolio backtests
33.) tradingview.com → Charting and public analysis
34.) koyfin.com → A free “almost-terminal”
35.) sec.gov/search-filings → Search for company action reports
36.) investor.gov/introduction-in… → Investing class the SEC wrote for ordinary people
37.) bogleheads.org/wiki/Main_Pag… → Encyclopedia of index investing
38.) investopedia.com/financial-t… → Look up any term in one second
39.) ssga.com/us/en/intermediary/… → Free guides from a giant asset manager
40.) rpc.cfainstitute.org/en/rese… → CFA Institute papers
41.) morningstar.com/funds → Fund holdings and ratings
42.) visualcapitalist.com → Understand a company or the macro picture in one graphic
43.) intel.ark-invest.com → Public theses on thematic investing
44.) holdingschannel.com → What’s actually inside the fund box
45.) justetf.com/en/ → European ETF comparison
46.) alphaarchitect.com/blog/ → Data that punches holes in common sense
47.) econ.yale.edu/~shiller/data.… → Shiller’s long-run market data
48.) behaviouralinvestment.com → Post-mortems on investor psychology
49.) ourworldindata.org → Economy, energy, and population, told in charts
50.) ourfiniteworld.com → The long-constraint view mainstream coverage skips
Bookmark this. You will want it the next time you try to copy the homework.
This is not investment advice.
Like + follow + turn on notifications.
Don't miss the next tip.
(Not financial advice — DYOR)
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Macroeconomic Outlook:
Policy Pivot and Labor Resilience
The global macroeconomic landscape is currently defined by a transition from aggressive monetary tightening toward a data-dependent easing cycle. While headline inflation has moderated significantly from its peak, the "last mile" of disinflation remains complicated by persistent service-sector costs and geopolitical volatility affecting supply chains. Central banks, led by the Federal Reserve, are pivoting their focus toward the dual mandate's second pillar—the labor market—where cooling job growth and rising participation rates suggest a rebalancing rather than a recessionary collapse. This shift supports a "soft landing" consensus, though the inverted yield curve and contracting credit conditions continue to signal latent risks in the broader cyclical economy.
Microeconomic Fundamentals:
AI Secular Trends and Margin Discipline
At the micro level, equity market performance is increasingly bifurcated, driven by capital expenditure intensity in the artificial intelligence (AI) ecosystem. Large-cap technology firms continue to prioritize massive investment in data centers and semiconductor hardware, creating a robust tailwind for the hardware stack while enterprise software providers face greater scrutiny regarding AI-driven monetization. Key microeconomic themes include:
Margin Compression vs. Efficiency:
Corporations are aggressively utilizing automation to offset elevated labor costs, maintaining historically high net margins despite cooling top-line revenue growth.
Sectoral Dispersion: High-quality balance sheets are commanding significant premiums as the "higher-for-longer" interest rate environment increases the cost of capital for speculative, cash-burning growth companies.
Consumer Bifurcation: Discretionary spending shows signs of fatigue in lower-income cohorts, while high-net-worth consumption remains resilient, reflecting a K-shaped recovery in household balance sheets.
In conclusion, while macro headwinds regarding restrictive policy are beginning to abate, micro-level success remains contingent on disciplined capital allocation and the ability to navigate a structural shift in the technological landscape. Investors are increasingly shifting from broad beta exposure to alpha-seeking strategies centered on earnings quality and fundamental valuation support.
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Have you heard of the 'January Effect'? It is a historical market hypothesis where stock prices, particularly those of small-cap companies, have tended to rise during the first month of the year. Historically, researchers have attributed this to year-end tax-loss harvesting followed by reinvestment in January. While past performance does not dictate future results, it remains a notable example of seasonal data patterns in financial history.
#MarketHistory #FinanceFacts #DataAnalysis
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Ever wondered why economists watch the yield curve so closely? A yield curve inversion occurs when short-term interest rates exceed long-term rates. Historically, this phenomenon has often preceded economic shifts. It reflects market sentiment regarding future growth and inflation expectations.
#Economics101 #YieldCurve #FinanceEducation #MacroTrends
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🚨 MAKE-OR-BREAK DAY FOR CRYPTO. 🚨
The 635-page Clarity Act faces a massive Senate cloture vote TODAY at 2:15 PM ET.
Will it pass the 60-vote hurdle to create the first comprehensive federal crypto framework, or face a fatal filibuster?
Here is what you need to know right now:
* 📉 Odds Plunge: Polymarket implied odds for the bill passing in 2026 just plummeted from 30% to 18% today as Senate Democrats voice lingering concerns.
* 💸 Market Reaction: Bitcoin ($BTC) slid 3% back under $77,000 this morning as traders brace for gridlock.
* 🔄 Late Concessions: GOP leaders added 126 changes late Sunday, including strict rules on Trump's personal crypto ventures and state-level enforcement powers.
If this vote fails this afternoon, crypto regulation is likely dead in the water ahead of the November midterms.
Watch the roll call closely. 🗳️
#Crypto #ClarityAct #Bitcoin #Regulation #CryptoNews #Senate
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🤔📈📉📊 Stop Trading Blind:
@CharlesSchwab @bookmap_pro
Most traditional charts only show past price movements through candlesticks. Bookmap takes a different approach by visualizing live order flow and resting market depth as it happens.
The heatmap shows limit order book liquidity as bright color bands. These zones represent clusters of resting orders that frequently act as real support and resistance levels before price even touches them.
Overlaid on top of the heatmap are volume bubbles that track filled market orders. Larger bubbles show higher volume, while colors reveal aggressive buying versus aggressive selling.
Watching how these elements interact allows traders to read key market dynamics. When aggressive market orders flood a level but price refuses to budge, passive limit orders are absorbing that volume. When aggressive volume suddenly dries up, exhaustion sets in and signals a potential reversal.
By pairing resting market liquidity with executed trade volume, order flow visualization helps traders confirm genuine breakouts, spot early reversals, and avoid getting trapped by false moves.
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Daily News Decoded 📰
Geopolitics & Commodities
* Oil Nears $100: Brent crude futures approached $99.46 and WTI broke above $93 a barrel amid escalating U.S.-Iran military engagements, including strikes on tankers and a U.S. base in Jordan.
* Inflation Pressures: The sudden surge in energy costs is renewing fears of persistent inflation, weighing heavily on market sentiment heading into key economic data releases.
Monetary Policy & Economy
* Federal Reserve Action: Following an unexpectedly strong August jobs report—with 162,000 jobs added versus the 65,000 expected—and hawkish signaling from Fed Chairman Kevin Warsh, fed funds futures are pricing in a roughly 60% probability of a rate hike at the September 16 FOMC meeting. This upcoming meeting will mark the first major policy decision under Warsh's tenure.
* Data Watch: Markets are in a holding pattern ahead of crucial August inflation metrics, with the Producer Price Index (PPI) scheduled for Thursday and the Consumer Price Index (CPI) on Friday.
* Bank of Japan: Expectations are solidifying for a BOJ rate hike next week, pushing the yen stronger (around 153.67 per dollar) and applying downward pressure on Japanese export equities.
Equities & Fixed Income
* Index Declines: U.S. markets retreated broadly upon returning from the holiday weekend. The Dow Jones dropped 628 points (1.2%) to 52,786, the S&P 500 fell 0.6% to 7,673, and the Nasdaq slipped 0.3% to 26,421.
* Treasury Yields: The 10-year Treasury yield climbed to 4.79%—its highest point since late 2023—and the 2-year yield rose to 4.39% as bond markets adjust to the likelihood of further tightening.
* Sector Highlights: Energy and utilities were the rare bright spots, gaining roughly 1% in response to the geopolitical landscape. Healthcare dragged the broader market down, exacerbated by Novartis plunging 13.9% following poor clinical trial results. Meanwhile, AI and semiconductor stocks continue to demonstrate resilience, with Qualcomm and major Asian chipmakers posting solid gains ahead of central bank decisions.
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Stop paying $100/mo for black-box trading bots. The open-source quant and algorithmic trading ecosystem gives you full code transparency, institutional-grade execution, and zero subscription overhead.
1. Autonomous AI & LLM Trading
* TauricResearch/TradingAgents — Simulates an entire institutional trading floor with LLMs. Deploys specialized agent roles (Fundamental, Sentiment, Technical analysts, Risk Managers, and Bull/Bear researchers) that debate market conditions before executing.
* whchien/ai-trader — A config-driven backtesting system built on Backtrader that integrates a native Model Context Protocol (MCP) server, allowing AI assistants like Claude to analyze data and trigger backtests.
2. Production Execution & Live Crypto Bots
* freqtrade/freqtrade — The reigning open-source crypto bot with 25k+ stars. Supports 30+ exchanges via CCXT, paper trading, Telegram control, and the FreqAI module for machine-learning-driven strategy optimization.
* hummingbot/hummingbot — The gold standard for high-frequency trading, market making, cross-exchange liquidity mining, and DEX/CEX arbitrage.
* drakkar-software/octobot — Best for fast deployments; includes a modular web UI, prebuilt strategies (Grid, DCA), and integrations with TradingView alerts and local LLMs via Ollama.
3. Backtesting & Quant Research Engines
* QuantConnect/Lean — Institutional-grade multi-asset algorithmic trading engine written in C# and Python, supporting stocks, options, futures, forex, and crypto.
* polakowo/vectorbt — Operates entirely on Pandas and NumPy, accelerated by Numba. It runs vectorized simulations across thousands of parameter permutations in seconds.
* jesse-ai/jesse — Built specifically to eliminate look-ahead bias and unrealistic backtesting fills with strict slippage and fee modeling.
* mementum/backtrader — The classic Python event-driven backtesting engine featuring robust broker emulation and indicator libraries.
4. Market Data & Indicator Pipelines
* OpenBB-finance/OpenBB — A multi-asset financial data platform built specifically for data analysts, quantitative developers, and AI agents.
* TA-Lib & xgboosted/pandas-ta-classic — Essential feature-engineering suites offering battle-tested technical indicators, candlestick pattern recognitions, and momentum oscillators.
5. Strategy Repos & Academic Curations
* paperswithbacktest/awesome-systematic-trading — The ultimate directory: contains quantitative packages, books, and academic strategies categorized with Sharpe ratios and backtest scripts.
* stefan-jansen/machine-learning-for-trading — End-to-end notebooks from data ingestion to feature engineering, alpha factor testing, and reinforcement learning.
As a general rule of thumb, use Hummingbot for market-making and DEXs, Freqtrade for ML crypto swing strategies, vectorbt for large-scale parameter optimization, and TradingAgents for multi-agent LLM analysis. Bookmark this post before planning your next algorithmic build.
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Bitcoin explodes to $64K as a massive U.S. CPI beat sparks a violent structural short squeeze, completely vaporizing the morning's sovereign sell-side fears. 🏛️🚀
My live order flow scan confirms no single buy orders over 500 BTC on Binance spot. Whales are keeping their size hidden behind algorithmic icebergs, allowing the macro CPI catalyst to sweep the thin exchange float without exposing public block targets.
The Decode: The inflation beat is real. June CPI cooled to 3.5% (vs 3.8% expected), triggering the sharpest monthly decline since May 2020. This risk-on rocket has completely erased the drag of yesterday's -$424M ETF outflows and the U.S. Government's $300M Coinbase deposit. Compressing above the ironclad $53,600 macro Realized Price floor where whales hoarded 270k BTC, order book friction has vanished.
The Play: Stay aggressive but heavily disciplined. Both the 15-minute and 30-minute Volume Imbalances have flipped back to clean POSITIVE configurations, backed by a surging spot CVD gradient. Refuse to chase the vertical premium extension blindly; instead, focus on scaling long exposure on localized pullbacks into newly established limit bid blocks as the tape hunts the $67,735 institutional citadel. 🧱🏹
#Bitcoin #WhaleWatch #OrderFlow #SmartMoney #MarketDecoder #MacroReset #VolumetricAnalysis #CryptoQuant #TradingAlert #CPIBeat #ShortSqueeze #VolumeImbalance #CVD #CoinbasePremium
Disclaimer: Educational purposes only. NFA.
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MarketDecoder.io retweeted
The number 1 question every algo trader has:
Where can I find strategies?
Start with the 9 books everyone needs on their bookshelf:
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A sharp shift in lower-timeframe market microstructure forces an intraday reset as Bitcoin pulls back to test $62.1K. 🏛️📉
My live order flow scan confirms 15m and 30m Volume Imbalances have flipped NEGATIVE. Spot taker CVD is deflating into the morning, showing aggressive retail sell-side orders are chipping away at thin morning bid layers.
The Decode: The record-breaking 51-day Coinbase Premium discount (-0.074%) finally shows its teeth. While passive institutional ETF flows have been quietly absorbing OTC supply, the persistent lack of aggressive public market-taker volume has left the near-term tape vulnerable to standard mid-week leverage flushes. However, with whales having hoarded 270k BTC right above the ironclad $53,600 macro Realized Price bedrock, liquid exchange supply remains historically broken.
#Bitcoin #OrderFlow #SmartMoney #MarketDecoder #MacroReset #VolumetricAnalysis #CryptoQuant #TradingAlert #VolumeImbalance #CVD #CoinbasePremium
Disclaimer: Educational purposes only. NFA.
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