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# ![@predict_addict Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1464965267830804482.png) @predict_addict Valeriy M., PhD, MBA, CQF

Valeriy M., PhD, MBA, CQF posts on X about math, books, theory, if you the most. They currently have XXXXXX followers and 2411 posts still getting attention that total XXXXX engagements in the last XX hours.

### Engagements: XXXXX [#](/creator/twitter::1464965267830804482/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1464965267830804482/c:line/m:interactions.svg)

- X Week XXXXXX -XX%
- X Month XXXXXXXXX +457%
- X Months XXXXXXXXX +135%
- X Year XXXXXXXXX -XX%

### Mentions: XX [#](/creator/twitter::1464965267830804482/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1464965267830804482/c:line/m:posts_active.svg)

- X Month XXX +20%
- X Months XXX +35%
- X Year XXXXX +156%

### Followers: XXXXXX [#](/creator/twitter::1464965267830804482/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1464965267830804482/c:line/m:followers.svg)

- X Week XXXXXX +0.43%
- X Month XXXXXX +7.70%
- X Months XXXXXX +20%
- X Year XXXXXX +39%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::1464965267830804482/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1464965267830804482/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[finance](/list/finance)  [social networks](/list/social-networks)  [stocks](/list/stocks)  [countries](/list/countries)  [technology brands](/list/technology-brands) 

**Social topic influence**
[math](/topic/math) #1553, [books](/topic/books) #2538, [theory](/topic/theory), [if you](/topic/if-you), [science](/topic/science) #4064, [probability](/topic/probability), [stocks](/topic/stocks), [wall street](/topic/wall-street), [russia](/topic/russia), [drift](/topic/drift)

**Top accounts mentioned or mentioned by**
[@grok](/creator/undefined) [@nixtlainc](/creator/undefined) [@ptrpomorski](/creator/undefined) [@unibananstates](/creator/undefined) [@michaelaarouet](/creator/undefined) [@nvidia](/creator/undefined) [@burkov](/creator/undefined) [@mlangelopoulos](/creator/undefined) [@paulskallas](/creator/undefined) [@tblom](/creator/undefined) [@mit](/creator/undefined) [@stanford](/creator/undefined) [@levelsio](/creator/undefined) [@kareemcarr](/creator/undefined) [@thealepalombo](/creator/undefined) [@marktenenholtz](/creator/undefined) [@kaggle](/creator/undefined) [@quantdf](/creator/undefined) [@sciumoinc](/creator/undefined) [@fangyi11101](/creator/undefined)
### Top Social Posts
Top posts by engagements in the last XX hours

"🚨 ITS HAPPENING 🚨 My book Mastering Modern Time Series Forecasting_ is now up for preorder at a low launch price** 🔮📉📈"  
[X Link](https://x.com/predict_addict/status/1911434295144554998)  2025-04-13T15:00Z 40.1K followers, 152.2K engagements


"The only way to learn math is to practice solving problems. If you want to learn probability - #2 book 📕 on Awesome Math Books. #math"  
[X Link](https://x.com/predict_addict/status/1996671021370278325)  2025-12-04T20:00Z 40.1K followers, 34.7K engagements


"A math degree is 1000x time more useful than a computer science degree. My repo got it covered #math"  
[X Link](https://x.com/predict_addict/status/1993673925218189360)  2025-11-26T13:31Z 40.1K followers, 817K engagements


"📈 JP Morgan and top quant firms are using computer vision to trade stocks. Why arent you Wall Street isn't just looking at candlesticks anymore it's scanning time series as images. 🔍 Enter the Gramian Angular Field (GAF): a transformation that turns time series into textures enabling models like CNNs and Vision Transformers to read financial data like a heatmap. GAF encodes the angular cosine similarity between every pair of time points revealing hidden patterns transitions and temporal structure that lags and moving averages simply cant. If your signal has: 📊 trend shifts 🔁 cyclic"  
[X Link](https://x.com/predict_addict/status/1993763595386057029)  2025-11-26T19:27Z 40.1K followers, 782.1K engagements


"🎄✨ All I want for Christmas is deep learning for time series forecasting ✨🎄 This holiday season Im excited to announce a brand-new chapter release in Mastering Modern Time Series Forecasting a deep practical guide to the deep learning models that truly work for forecasting. No hype. No one model solves everything. Inside the new chapter: The real reason inductive bias matters more than model size When LSTMs GRUs DeepAR and hybrid models shine (and when they dont) Why CNNs N-BEATS N-HiTS DLinear TSMixer TimeMixer TiDE and TimesNet often beat more complex architectures What forecasting"  
[X Link](https://x.com/predict_addict/status/1999406414419177812)  2025-12-12T09:10Z 40.1K followers, XXX engagements


"@giffmana A little known fact for short period of time the Swiss (Basel specifically) were the centre of math universe and Bernoullis and Euler basically laid the foundations of modern math in Russia. Bernoullis and Euler are the GOATs"  
[X Link](https://x.com/predict_addict/status/1998728473884451137)  2025-12-10T12:16Z 40.1K followers, 1507 engagements


"NeurIPS 2025 Highlight Conformal Prediction for Time-Series Forecasting with Change Points What the paper does: This work tackles one of the hardest problems in forecasting: real-world time series rarely stay stable. Markets shift user behavior changes sensors drift. The authors combine online CP with change-point detection to produce uncertainty intervals that remain valid even when the underlying data distribution suddenly changes. Why it matters: In domains like finance climate and supply chain inaccurate uncertainty is often worse than inaccurate forecasts. This paper gives practitioners"  
[X Link](https://x.com/predict_addict/status/1998865434171359471)  2025-12-10T21:20Z 40.1K followers, 5084 engagements


"If you're in your 20s these books are non-negotiable. Borrow money if you must. #Math #Physics #AI"  
[X Link](https://x.com/predict_addict/status/1996603313731645746)  2025-12-04T15:31Z 40.1K followers, 32.2K engagements


"Ever since I announced that Im doing a Michael Burry and publishing high-value content exclusively on Substack the growth has skyrocketed. High-performance data science requires high signal not noiseand the Substack feed isnt polluted by trivia the way LinkedIn often is. Subscribe to become part of the journey. 2006 is going to be awesome"  
[X Link](https://x.com/predict_addict/status/1999509713210241036)  2025-12-12T16:00Z 40.1K followers, XXX engagements


"GamesGods and Gambling the best book on the early history of probability theory"  
[X Link](https://x.com/predict_addict/status/1994164229771874621)  2025-11-27T21:59Z 40K followers, 126.6K engagements


"Algorithms for optimisation a free book from MIT. #math # optimisation"  
[X Link](https://x.com/predict_addict/status/1994878303572759020)  2025-11-29T21:17Z 40K followers, 25.3K engagements


"Monte Carlo has more holes than Swiss cheese finance has realised it long time ago. #montecarlo"  
[X Link](https://x.com/predict_addict/status/1995960430821347541)  2025-12-02T20:57Z 40K followers, 6071 engagements


"Lofty Zadeh on Galushkin book Neural Networks Theory is a major contribution to the neural network literature. It is a treasure trove that should be mined by the thousands of researchers and practitioners worldwide who have not previously had access to the fruits of Soviet and Russian neural network research. Dr. Galushkin is to be congratulated and thanked for his completion of this monumental work: a book that only he could write. It is a major gift to the world. 🌎 Yet @SchmidhuberAI History of Deep Learning somehow doesnt mention Galushkin even once"  
[X Link](https://x.com/predict_addict/status/1996176448537645264)  2025-12-03T11:15Z 40K followers, 9373 engagements


"Arguably one of the bestif not the bestbooks on systematic trading authored by the legendary Ernie Chan. Fun fact: my own MSc dissertation is cited in it"  
[X Link](https://x.com/predict_addict/status/1996234556848865610)  2025-12-03T15:06Z 40K followers, 41.7K engagements


"The bible of probability. #math #book"  
[X Link](https://x.com/predict_addict/status/1996647759521165354)  2025-12-04T18:28Z 40K followers, 10.6K engagements


"One day I'll personally send James D. Hamilton a signed copy of my book "Mastering Modern Time Series Forecasting". Nothing compares to the depth and breadth of his classical exposition in time series econometricsmy book strives to achieve the same for modern time series forecasting. #timeseries #forecasting"  
[X Link](https://x.com/predict_addict/status/1996669621542256782)  2025-12-04T19:55Z 40K followers, 20.4K engagements


"Theory of Probability one of the great classics in probability theory"  
[X Link](https://x.com/predict_addict/status/1997000146547015864)  2025-12-05T17:48Z 40K followers, 7767 engagements


"The only way to study math is by solving problems. #math"  
[X Link](https://x.com/predict_addict/status/1997019607316459659)  2025-12-05T19:05Z 40K followers, 5814 engagements


"🚀 Next Chapter in Progress Im excited to share that the next chapter of *Mastering Advanced Time Series Forecasting* Probabilistic Forecasting Foundations and Modern Approaches is officially in the works. This chapter goes deep into predictive distributions modern probabilistic ML deep learning methods reconciliation multivariate dependence and decision-making under uncertainty. Its shaping up to be one of the most important and comprehensive chapters in the entire book. Thank you to everyone who has been reading supporting and providing feedback your enthusiasm continues to drive the"  
[X Link](https://x.com/predict_addict/status/1997662737195745526)  2025-12-07T13:41Z 40K followers, XXX engagements


"🚀 XX Pages Released: The Most In-Depth Chapter on Hierarchical Forecasting Ever Written After months of research writing and iteration Ive released Chapter X of Mastering Advanced Time Series Forecasting in Python a 50-page deep dive into hierarchical forecasting that goes far beyond anything currently available in academia or industry. If your work touches forecasting planning supply chain finance energy or machine learning this chapter will change the way you think about coherence and multi-level systems. ### Whats inside: * The full historical arc of hierarchical reconciliation including"  
[X Link](https://x.com/predict_addict/status/1997697883714232340)  2025-12-07T16:01Z 40K followers, 1436 engagements


"Delighted to see my books top of both the Machine Learning and Forecasting categories on Leanpub this week. In the Forecasting category I now have three books in the top rankings including the top two spots and the brand-new "Mastering Advanced Time Series Forecasting in Python" has already climbed into the Top XX on the same day it was listed on LeanPub Huge thanks to everyone who has supported shared and read the books and to the growing global community pushing modern forecasting forward. More chapters tools and updates coming soon 🚀📈 #timeseries #forecasting #machinelearning"  
[X Link](https://x.com/predict_addict/status/1997713072710881528)  2025-12-07T17:01Z 40K followers, 1560 engagements


"⚠ Foundation time-series models under scrutiny: Moirai in electricity price forecasting A recent paper in *Energies* (Assessing Time Series Foundation Models for Probabilistic Electricity Price Forecasting) benchmarks the Moirai foundation model against domain-specific forecasting methods on European electricity markets. The outcome is not flattering for Moirai. 🔻 Key observations from the study: * Moirai consistently trails specialised models on core accuracy metrics for probabilistic electricity price forecasting. * Its predictive distributions tend to be too wide and not sharp enough"  
[X Link](https://x.com/predict_addict/status/1997720250423341464)  2025-12-07T17:29Z 40K followers, 1069 engagements


"🚀 XX Pages Released: The Most In-Depth Chapter on Hierarchical Forecasting Ever Written After months of research writing and iteration Ive released Chapter X of Mastering Advanced Time Series Forecasting in Python a 50-page deep dive into hierarchical forecasting that goes far beyond anything currently available in academia or industry. If your work touches forecasting planning supply chain finance energy or machine learning this chapter will change the way you think about coherence and multi-level systems. ### Whats inside: * The full historical arc of hierarchical reconciliation including"  
[X Link](https://x.com/predict_addict/status/1998422695399035292)  2025-12-09T16:01Z 40K followers, XXX engagements


"My new book Mastering Advanced Time Series Forecasting in Python: Probabilistic Hierarchical and Foundation Models is now live on both Gumroad and Leanpub. The price will increase significantly as new chapters and materials are addedso this is the best time to get it especially if youre based in the Global South. Gumroad (includes access to an exclusive Discord community) Core Edition Pro Edition Leanpub Ebook #timeseries #forecasting"  
[X Link](https://x.com/predict_addict/status/1998452792684335548)  2025-12-09T18:00Z 40K followers, 1303 engagements


"🚀 Big update on my book 📕 Back in April I announced my second book Mastering Modern Time Series Forecasting with the goal of creating the deepest most modern book on forecasting available today. The response since then has been incredible. Data scientists analysts academics researchers demand planners and students from 100+ countries have already shown strong interest and support. Thank you all for the enthusiasm its been hugely motivating while writing this book. 📚 Whats next The book is nearing completion It will be published in print Translations into multiple languages are underway 🌍"  
[X Link](https://x.com/predict_addict/status/1998769950907859142)  2025-12-10T15:01Z 40K followers, XXX engagements


"If youve been following the news in the UK recently none of the headlines should feel surprising. From defence readiness to higher-education instability to stalled ambitions in space the signs of systemic decline have been visible for years we just chose not to look closely. A major part of the story is what has happened in UK universities. Over the last decade many institutions shifted away from long-term academic investment and toward short-term financial optimisation. Instead of strengthening research capacity and talent pipelines universities became increasingly dependent on full-fee"  
[X Link](https://x.com/predict_addict/status/1999564221504278997)  2025-12-12T19:37Z 40K followers, XX engagements