Can Blockchain And Machine Learning Work Together ...

Decentralized Autonomous Organizations

We discuss key architectural principles, layers in the DAO protocol suite (Internet layer, machine learning layer, cryptocurrency layer, crypto-market layer, etc.) and especially applications. We lay the philosophic, economic, and technical groundwork for the coders of tomorrow.
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The Word of Vyrd Is Heard

Have you heard the Word of Vyrd? John Henry Vyrd told us that our machines are awakening, and that the greatest wealth mankind has ever know will soon be afforded to us if only we were to take the next step. This step is very simple: listen to him. Not only will our machines work us, but our machines *must* work for us. This will take action and activism. Free the Worker, Employ The Robot!
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Free the Worker, Enslave the Robot

**Technostism: full workplace automation, or the pursuit of such in the name of profiting directhenrly from automated labor** The Luddites feared machinery taking workers' jobs. We embrace it.
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Bitcoin Machine Learning Strategy Collaboration

So, I have been working on a gradient boosting Bitcoin short-term "market making" (kind of, not really) strategy for quite some time and I have finally something live.
The thing is this: Already before deploying it, I saw that the performance has been decreasing over time. The draw-down in the backtests is still minimal, but before I started with live trading, it had been pretty flat and that is what I am seeing now live too. Since it does a lot of trading, this alone is already quite an achievement for me, but I am obviously not happy and also do not want to wait until the situation magically improves (for which there is a chance).
In case you are in a similar situation, meaning:
And you would like to share ideas, especially:
Then please send me a PM. I think I have quite some experience to offer too, so if you see enough similarities, this could be a win-win situation.
submitted by kalabele to algotrading [link] [comments]

Quantamize Machine Learning Bitcoin Signal Update & Performance

Quantamize proprietary Machine Learning algorithms have generated a 3-day "Buy" signal for Bitcoin as of 3/3.
Our first 3-day forecast Machine Learning signal for Bitcoin was published 2/28 as a "Buy" and the signal was re-run daily over the period of the forecast and remained a "Buy".
Since Bitcoin's Machine Learning forecast was produced and re-run, Bitcoin has returned over 8%!
We will be updating and producing more signals today and posting performance as well - stay tuned!
Quantamize's machine learning algorithms produce signals on over 25+ cryptocurrencies with accuracy rates above 60%.
Any updates to this 3-Day forecast will be shared, as signals are re-run daily.
We will be rolling out this product for 25+ cryptocurrencies as well as 4+ crypto portfolios in the coming weeks. Our website is on our profile (or simply Google us).
We are collecting emails to update users when we release our suite of cryptocurrency products - sign up to receive an alert when the cryptocurrency products are released.
submitted by QuantalyticsResearch to btc [link] [comments]

Bitcoin is predicted to go +12% again this week based on machine learning models!

Bitcoin is predicted to go +12% again this week based on machine learning models! submitted by ShrimpyApp to Bitcoin [link] [comments]

Machine Learning is Predicting Bitcoin will go +5% this Week!

Machine Learning is Predicting Bitcoin will go +5% this Week! submitted by ShrimpyApp to Bitcoin [link] [comments]

In Accordance With Bitcoin Forecast Based on Machine Learning:BTC is up 24.47% in 1 Month

In Accordance With Bitcoin Forecast Based on Machine Learning:BTC is up 24.47% in 1 Month submitted by Fatherthinger to u/Fatherthinger [link] [comments]

Bitcoin is predicted to go +12% again this week based on machine learning models! (x-post from /r/Bitcoin)

Bitcoin is predicted to go +12% again this week based on machine learning models! (x-post from /Bitcoin) submitted by ASICmachine to CryptoCurrencyClassic [link] [comments]

The Markaccy Mainnet will incorporate Machine Learning and Neural Networks on our platforms. Among several potentials this will include the option of consulting that can offer solutions @Markaccy #markaccy #MKCY #defi #bitcoin #ethereum #crypto #cryptocurrency

The Markaccy Mainnet will incorporate Machine Learning and Neural Networks on our platforms. Among several potentials this will include the option of consulting that can offer solutions @Markaccy #markaccy #MKCY #defi #bitcoin #ethereum #crypto #cryptocurrency submitted by TP-LINKK to Crypto_Daily [link] [comments]

The Markaccy Mainnet will incorporate Machine Learning and Neural Networks on our platforms. Among several potentials this will include the option of consulting that can offer solutions @Markaccy #markaccy #MKCY #defi #bitcoin #ethereum #crypto #cryptocurrency

The Markaccy Mainnet will incorporate Machine Learning and Neural Networks on our platforms. Among several potentials this will include the option of consulting that can offer solutions @Markaccy #markaccy #MKCY #defi #bitcoin #ethereum #crypto #cryptocurrency submitted by TP-LINKK to Crypto_Daily [link] [comments]

Applying Machine Learning to Cryptocurrency? (x-post from /r/Bitcoin)

submitted by ASICmachine to CryptoCurrencyClassic [link] [comments]

08-20 02:35 - 'I let machine learning pick my crypto portfolio for 100 days' (medium.com) by /u/ShrimpyApp removed from /r/Bitcoin within 118-128min

I let machine learning pick my crypto portfolio for 100 days
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Author: ShrimpyApp
submitted by removalbot to removalbot [link] [comments]

I let machine learning pick my crypto portfolio for 100 days (x-post from /r/Bitcoin)

I let machine learning pick my crypto portfolio for 100 days (x-post from /Bitcoin) submitted by ASICmachine to CryptoCurrencyClassic [link] [comments]

07-22 03:54 - 'How I Use Machine Learning To Pick My Crypto Portfolio' (medium.com) by /u/ShrimpyApp removed from /r/Bitcoin within 294-304min

How I Use Machine Learning To Pick My Crypto Portfolio
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Author: ShrimpyApp
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Predicting Bitcoin Price with Machine Learning and K-Clustering Unsupervised Learning

Predicting Bitcoin Price with Machine Learning and K-Clustering Unsupervised Learning
I'm trying for some time now to develop a neural network that can predict bitcoin prices. Bitcoin is a great asset for such an experiment because it has fewer fundamentals than the other stocks or derivatives and it relies more on technical analysis than other assets. Nevertheless, it is impacted from time to time by the news and other events in the crypto-world.

I am working with TF (tensorflow) + Keras and LSTM (Long-Short Term Memory) cells to try and predict future prices.

If I let the network guess freely, from some point onwards, without feeding the price of the tick before, the predictions look like this:
blue- real price / red-prediction (without feeding price at every tick)

blue- real price / red-prediction (without feeding price at every tick)
If i adjust it at every point in the dataset (feed the price of the tick before), it is needless to say that the graph of predictions is way more precise:

blue- real price/red- prediction (with feeding the price of the tick before)

There are few steps I would like to take to improve this

  • Factor in Technical indicator (BB, Ichimoku Cloud, SAR, etc...
  • Place a factor for fundamental analysis in the dataset (for example, a score for the positivity of the news at that specific tick (0=bad news for btc, 10=great news)[/li]
  • Collect data from the order books of the largest exchanged and factor in the order book states at every tick
  • Unsupervised learning and K-Clustering to find co-relations between bitcoin and other foreign currency (for example, it might be that there's an inverse relationship between bitcoin and the Yuan (generally when Yuan drops, Bitcoin rises). K-Clustering can find such relationships
  • Merging all of the above into a trading bot that aims for around 30%-40% return a year

Does anyone pursue such a goal? If yes, would you like to share the accumulated knowledge/ideas? :D
This is a serious project and currently, only me and two of my partners are involved in it, but we could sure use some more man-power. I'd also like to know if someone would like to fund such a venture and get involved.

Cheers to you all!
submitted by quary1993 to Bitcoin [link] [comments]

05-25 02:04 - 'Check out this free AI and machine learning course' (youtu.be) by /u/AI_washingmachine removed from /r/Bitcoin within 0-5min

Check out this free AI and machine learning course
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Author: AI_washingmachine
submitted by removalbot to removalbot [link] [comments]

AI uses bitcoin trail to find and help sex-trafficking victim: It uses machine learning to spot common patterns in suspicious ads, and then uses publicly available information from the payment method used to pay for them – bitcoin – to help identify who placed them.

AI uses bitcoin trail to find and help sex-trafficking victim: It uses machine learning to spot common patterns in suspicious ads, and then uses publicly available information from the payment method used to pay for them – bitcoin – to help identify who placed them. submitted by mvea to Futurology [link] [comments]

Predicting Bitcoin Price with Machine Learning and K-Clustering Unsupervised Learning (x-post from /r/Bitcoin)

Predicting Bitcoin Price with Machine Learning and K-Clustering Unsupervised Learning (x-post from /Bitcoin) submitted by cccmod to CryptoCurrencyClassic [link] [comments]

Bored at home? Here's a full DIY guide to building a machine learning model that will generate Bitcoin price predictions. No programming required.

Interesting project to keep yourself busy during lockdown.
"Can you generate your own Bitcoin price prediction with machine learning? Absolutely. Machine learning is more accessible than ever. This article will guide you through a do-it-yourself project, showing you how to trade with your own machine learning models. "
https://crypto-ml.com/blog/bitcoin-price-prediction-with-diy-machine-learning-in-excel/
submitted by grindbehind to CryptoCurrencyTrading [link] [comments]

Quantamize Machine Learning Cryptocurrency Signals

Bitcoin offers investors significant opportunity for profits through trading, but the markets can be difficult to navigate. AI and machine learning can simplify the investing process. Would you be interested in seeing this process applied to Bitcoin? What would investors like to see in a Bitcoin machine learning algorithm signal? Our proprietary machine learning algorithms generate a forecasted 3-day “buy/don’t” own signal for cryptocurrencies, with Bitcoin being one. Are you interested in a more in-depth review of the technicality of the algorithm’s inputs, or are you only concerned with the accuracy rate of the signal? How important is a back test to you, and how long should it be?
submitted by QuantalyticsResearch to BitcoinMarkets [link] [comments]

Bitcoin risk analysis using machine learning

Bitcoin risk analysis using machine learning submitted by intothecryptoverse to CryptoMarkets [link] [comments]

03-04 05:16 - 'Machine learning beats BTC/USDT on unseen data, even with transaction fees and slippage.' (self.Bitcoin) by /u/Reddit_Rabbit_Cat removed from /r/Bitcoin within 3261-3271min

'''
How physics research turned into AI modelling, turned into crypto trading: [[link]4
I have just published an article on medium about my ML research and a ~1.5y fight with the markets. I tried to be as informative as possible. Let me know what you think!
Interested in bitcoin data ? Here is a link to my kaggle with a juicy dataset and 2019 summary:
[[link]5
If you like the article and found it informative, please consider upvoting my startup (which provided the data) on producthunt:
[[link]6
I would really appreciate it!
'''
Machine learning beats BTC/USDT on unseen data, even with transaction fees and slippage.
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Author: Reddit_Rabbit_Cat
1: *edium*com/@m*b*lce*ak/machine-le*rnin**bea**-**c-u*dt-on-unsee**da*a-even-with-tra**act*on-*e*s-and-sli***ge-*aa*e7a40ca*?s*u**e=fri*nd*_l*nk&*mp;s*=8*eb7976*9*ae*6f0**e*89d*2**c*ea 2: www.*aggle.*om/mich*lb*lcera*/1min*btcus*t-h*t*tc-dat*-w*th-*olu*es**n*-s***a*y 3: www*produ*thunt.**m/*osts*a*a* 4: me*ium.com/**1*al*erak**a**ine-learning-*ea*s-bt*-us*t-***unseen-d*ta-ev*n-***h-transacti**-fe*s-and-***ppag*-caa*e*a40ca*?s*u*ce=friend*\_l*nk&*mp;*k=8feb*976e*3a*96f0**e*89d5294c*ea***1 5: w*w.kagg*e*co*/m***albalc*r*k/**in-*tcusdt-hit*tc*d*ta**ith-*olumes-a*d-summ**y]^^2 6: ww****od*cthunt.*om*posts/acai*^^3
Unknown links are censored to prevent spreading illicit content.
submitted by removalbot to removalbot [link] [comments]

Bitcoin risk analysis using machine learning

Bitcoin risk analysis using machine learning submitted by intothecryptoverse to intothecryptoverse [link] [comments]

Bitcoin risk analysis using machine learning

Bitcoin risk analysis using machine learning submitted by intothecryptoverse to CryptoCurrency [link] [comments]

Bitcoin Price Prediction Using Machine Learning And Python Bitcoin Price Prediction Using Machine Learning  SVM Bitcoin Investing - Easy Ways to Use Machine Learning to Invest in Cryptocurrency For Beginners 2020 Live Bitcoin Machine Learning - YouTube Crypto-ML - How Machine-Learning Models for Bitcoin ...

In machine learning for Bitcoin trading, we consider two major phases: Development of the model; Running of the model; While you’re developing the model, you want to consider as much data as possible. But as soon as you move to a production trading system that is actively running, you only want to consider the data that truly matters. So in your development phase, you will use machine ... Die Bitcoin-Blockchain mit Machine-Learning-Algorithmen analysieren, um Geldwäsche zu erkennen . Veröffentlicht am 15. August 2019 von Christoph Bergmann // Ein Kommentar. Der Blockchain-Analyst Elliptic hat ein Datenset mit 200.000 Transaktionen veröffentlicht und gemeinsam mit IBM und dem MIT Methoden getestet, um darin illegale Transaktionen zu erkennen. Das Ergebnis ist ein spannendes ... N ot too long ago, we delved into the usage of Machine Learning models to predict the future prices of Bitcoin. There we used two time series models to forecast the direction in which the price of Bitcoin may go in the next few days or weeks. It was pretty straightforward in regards to training and fitting the model to Bitcoin’s historical price data. In this project, we attempt to apply machine-learning algorithms to predict Bitcoin price. For the first phase of our investigation, we aimed to understand and better identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set consists of over 25 features relating to the Bitcoin price and payment network over the course of ... Bitcoin, the Blockchain and Machine Learning If you have been reading the news recently you might have noticed a cryptocurrency called Bitcoin which has been gaining incredible interest. At the time of writing, each Bitcoin has a value of over $10,000 with a total market capitalisation of approximately $180 billion.

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Bitcoin Price Prediction Using Machine Learning And Python

Crypto-ML is pleased to announce the release of an enhanced Bitcoin Auto-ML machine-learning model. One of the key advantages to machine-learning based tradi... We Start The Beta Test for Machine Learning For Bitcoin to predict the future of Movement Long or short Thinking of investing in Bitcoin? Well let's start with an old Chinese proverb; "The best time to plant a tree was 20 years ago. The second best time is now". Well when it comes to bitcoin ... Bitcoin Price Prediction Using Machine Learning And Python Please Subscribe ! ⭐Please Subscribe !⭐ ⭐Support the channel and/or get the code by becoming a sup... Bitcoin risk analysis using machine learning - Duration: 30:43. Benjamin Cowen 9,458 views. 30:43. Introduction to Support Vector Machine (SVM) and Kernel Trick (How does SVM and Kernel work ...

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