Predict Bitcoin Prices with Deep Learning by Marco ...

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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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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/r/Technology

Subreddit dedicated to the news and discussions about the creation and use of technology and its surrounding issues.
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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]

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]

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
Go1dfish undelete link
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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
submitted by removalbot to removalbot [link] [comments]

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
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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]

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]

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]

Bitcoin risk analysis using machine learning

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

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.
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Bitcoin risk analysis using machine learning

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

Bitcoin risk analysis using machine learning

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

Bitcoin risk analysis using machine learning

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

Live Signal For Bitcoin By Machine Learning - YouTube Live Bitcoin Machine Learning - YouTube What is Bitcoin? Bitcoin Explained Simply for Dummies ... How Bitcoin Works in 5 Minutes (Technical) - YouTube How to start Bitcoin mining for beginners (SUPER EASY ...

It’s close to impossible to predict the future of Bitcoin, but with machine learning, we can understand where it might go with a high degree of confidence. We wouldn’t suggest using these machine learning models to make all your investing decisions but it’s great to see what might happen for the future of Bitcoin and Cryptocurrency! low-latency trading hardware coupled with robust machine learning algorithms. Thus, it makes sense that this pre-diction methodology is replicated in the world of Bitcoin, as the network gains greater liquidity and more people develop an interest in investing profitably in the system. To do so, we feel it is necessary to leverage machine learning Last Updated on March 24, 2020. Machine learning is a highly effective tool for developing trading systems for Bitcoin and other cryptocurrencies. This post will explore some of the concepts that apply, potential issues you may encounter, and the competencies you’ll need to develop your own machine-learning based trading system. Our first bitcoin strategy will be very simple, as we’re going to use a random forest (a popular machine learning method) to predict wether the price moves up or down in the next 60 minutes. To do this, we will change the Lin reg node to a RForest node. Click on the circle item on the Lin Reg node. 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.

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Live Signal For Bitcoin By Machine Learning - YouTube

Start trading Bitcoin and cryptocurrency here: http://bit.ly/2Vptr2X Bitcoin is the first decentralized digital currency. All Bitcoin transactions are docume... This video will show you how to start bitcoin mining from home. It's very easy and "free" to do if you have a gaming PC. *****... We Start The Beta Test for Machine Learning For Bitcoin to predict the future of Movement Long or short We Start The Beta Test for Machine Learning For Bitcoin to predict the future of Movement Long or short A short introduction to how Bitcoin Works. Want more? Check out my new in-depth course on the latest in Bitcoin, Blockchain, and a survey of the most excitin...

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