Markus Vogl {Business & Data Science}

Freelance Quantitative Finance, Data Science and IT Projects; Markus is a PhD Candidate (Financial & Risk Modelling, Nonlinear Dynamics and Chaos Theory)

[Markus Vogl {Business & Data Science} @VoglData]

Very proud and grateful to present time-varying #chaos measures at the #Nodycon23 #Nodycon at the #Sapienza in Rome today. Find my live talk here:
https://t.co/yWj9VkBR4M

#sp500 #stocks #nonlinear #timeseries #forecasts

[Markus Vogl {Business & Data Science} @VoglData]

Staying @CityofVancouver for 4 months. Lookin forward to meeting new people!

#vancouverbc

[Markus Vogl {Business & Data Science} @VoglData]

Live talk at the #isfconf2022 #isf2022 at the #OxfordUniversity in #oxford about #Hurst Exponent Dynamics of #SP500 returns. Indications for #financialcrises #multifractality and #forecasting

#meltdown #stocks #momentum
@michaeljburry

https://t.co/3JOTJFxUkY

[Markus Vogl {Business & Data Science} @VoglData]

Please find our latest #review on #chaos and #nonlinear #dynamics, #efficiency, #fractal ity and #longmemory with over 80,000 sampled papers here (free to download):🤓
https://t.co/yq1Jyv6dJr

[VKMacro @VKMacro]

This is a pretty interesting divergence regarding CFO optimism on the economy vs. their own company.

[Markus Vogl {Business & Data Science} @VoglData]

#ISF2022 #isfconf2022 #conference talk in #Oxford at #OxfordUniversity was really a great honor. I am grateful for the opportunity, the new connections and the various academic insights. Thank you all so much! #finance #stocks #SP500 #Hurst #quant #modelling #forecast

[Markus Vogl {Business & Data Science} @VoglData]

#IFKAD2022 #IFKAD #conference talk about #climatechange and #floodprotection and the reflection of practically derived success factors in the scientific literature with Mr. Scheffler.

[Turing Post @TheTuringPost]

3 free courses, the most popular ones!

1. CS109A Data Science @Harvard
2. Linear Algebra @MIT
3. Mathematics of Big Data and Machine Learning @MIT

Share this post with your friends to spread the word!

Links⬇️

[Markus Vogl {Business & Data Science} @VoglData]

Our latest video states the total invalidity of the efficient market hypothesis
https://t.co/fniWnKw3Vi

#Momentum #trading #stockmarketcrash #marketcrash #meltdown #momentumtrading #chaos #nonlineardynamics #fractals #finance #quant #StockMarket #equity

[Markus Vogl {Business & Data Science} @VoglData]

@MohitGNDUmaths You can check out my YouTube Channel: https://t.co/NmP32GNoRc

I will upload more content in the future!

[Markus Vogl {Business & Data Science} @VoglData]

On 05/10/2019 we had the opportunity to give a lecture about "Financial Time Series Analysis using Wavelets" at the 1. QX Data Science Event in Frankfurt am Main - DE.
https://t.co/BvnsZpdz9V

#DataScience, #Data, #Python, #future, #Wavelets, #mathematics

[Markus Vogl {Business & Data Science} @VoglData]

Looking forward to speak at the #ISFConf2022 at the #Oxford university in July 2022! We will talk about #financialcrises, #Hurst exponents and #momentum crashes and #prediciting stocks. #EfficientMarkets are dead and we can show it quantiatively.

[Markus Vogl {Business & Data Science} @VoglData]

Really enjoyed being part of the #IFKAD conference in #Lugano. Great time.

#research #IFKAD2022

[Markus Vogl {Business & Data Science} @VoglData]

I am speaking at ISF 2022: Oxford, England. Please check out my talk if you're attending the event! #ISFConf2022 - via #Whova event app

[Markus Vogl {Business & Data Science} @VoglData]

Check out our latest #research #paper about #wavelet #NeuralNetworks for #Finance #predictions, which is #opensource and freely available
https://t.co/xb0y9FLItE

#data #DataScience #MachineLearning #ArtificialIntelligence #quant #stocks #trading #modelling

[Markus Vogl {Business & Data Science} @VoglData]

@SeekingAlpha In addition, according to crises and save haven research, #gold or metal #commodities serve as a mid-term #hedge, whilst for example #BTC is less correlated with ##stock #crashes. Nonetheless, the "researcher's choice" is on #VIX.

[Ralph Sueppel @macro_synergy]

"We investigate normalized imbalance between option volumes...as a predictor for price movements in the spot market...We find strong signs of predictability of excess market overnight returns. The strongest signals come from Market-Maker volumes." https://t.co/FgP9VHWiQH 🇺🇦

[Markus Vogl {Business & Data Science} @VoglData]

@StealthQE4 Inversion already happened in 2022...

[Markus Vogl {Business & Data Science} @VoglData]

@MFHoz In addition, inversion in #T10Y2Y treasury constant maturity spread. Meanwhile, #margindebt, #federaldebt and the #SP500 growth are also quite similar...
#FlyingPigs360

[Markus Vogl {Business & Data Science} @VoglData]

@Cams_eth We produce music art, which shows you what you hear.
Each graphic has over 3000dpi and includes a video tour through the graphic. #digitalart #NFTartist

https://t.co/Qtr121sMFQ

[Markus Vogl {Business & Data Science} @VoglData]

@fiverr Nonlinear Dynamics, Chaos and Financial Markets.
Can we predict the next financial meltdown?
Can we describe the underyling evolutionary dynamics of economic systems?
Is it possible to earn money with it?
If so, how?