How to Use Twitter Sentiment Analysis to Trade Bitcoin ...

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Key Opinion Leaders (KOL & Influencer Marketing)

Influencer Marketing 101 Content Creators: Learn how to turn your passion for social media into a full time job, become famous, and rule the world! Companies: Find influencers, and chat with others to learn how to use influencer marketing expert! *KOL stands for Key Opinion Leader and is the proper term for what is known in the west as Influencer Marketing
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@cz_binance: RT @digital_mine_: #BITCOIN #TWITTER sentiment analysis: Today POSITIVE vs NEGATIVE tweets Updated every hour #btc #cryptocurrency #blockchain #steem #digitalmine - https://t.co/SzZtO6Vweu

@cz_binance: RT @digital_mine_: #BITCOIN #TWITTER sentiment analysis: Today POSITIVE vs NEGATIVE tweets Updated every hour #btc #cryptocurrency #blockchain #steem #digitalmine - https://t.co/SzZtO6Vweu submitted by rulesforrebels to BinanceTrading [link] [comments]

Predicting Bitcoin Price based on twitter sentiment analysis and trading for 2 months !

Predicting Bitcoin Price based on twitter sentiment analysis and trading for 2 months ! submitted by mhh44 to Bitcoin [link] [comments]

Twitter sentiment analysis for Bitcoin and Ethereum (Daily average for last 7 days )

Twitter sentiment analysis for Bitcoin and Ethereum (Daily average for last 7 days ) submitted by gdruva to ethtrader [link] [comments]

Predicting Bitcoin Price based on twitter sentiment analysis and trading for 2 months ! /r/Bitcoin

Predicting Bitcoin Price based on twitter sentiment analysis and trading for 2 months ! /Bitcoin submitted by HiIAMCaptainObvious to BitcoinAll [link] [comments]

I built this tool crypto360.io because I was tired of going through all Bitcoin news sites. I listened to feedback and looking to see if people would actually use this daily. (Sentimental analysis, Social trends, Real-time coin tracker, twitter/Reddit feed, Charts,etc.) - Desktop Only

submitted by HiIAMCaptainObvious to BitcoinAll [link] [comments]

Can Twitter Sentimental Analysis Predict Bitcoin Price Fluctuation?

Can Twitter Sentimental Analysis Predict Bitcoin Price Fluctuation? submitted by Cryptofortune to Bitcoin [link] [comments]

Can Twitter Sentimental Analysis Predict Bitcoin Price Fluctuation?

Can Twitter Sentimental Analysis Predict Bitcoin Price Fluctuation? submitted by BitcoinAllBot to BitcoinAll [link] [comments]

Conflicted On Twitter Heading Into Earnings

Conflicted On Twitter Heading Into Earnings
TL;DR: Twitter has a horrible execution history and negative surprises on the most recent earnings call, but company has real long term value that has yet to be unlocked. The bet here is that TWTR has run up based on pin action from SNAP, but fundamentals and peer comparison cloud the picture.
I read this post calling for a short on Twitter and it became a bit of a WSB ear worm. I generally agreed with OP's assessment, but he was a bit short on DD and most of my thoughts are based on biases against the company's horrible execution/monetization history and a general disdain for Jack Dorsey wanting to move to Africa for a year rather than focusing on the TWO companies that have made him a billionaire.
I thought about it, researched some short term puts (high premium as expected given recent run up into all time high today, earnings Thursday) and basically ATM puts are running $2.76 for $51's expiring Friday or $3.36 if I want to give myself the extra week (ELECTION MADNESS!) for an extra swing at the payoff.
My initial thought is that Twitter has run up with SNAP and PINS after SNAP crushed earnings. I had started to look at PINS for an earnings play but didn't get to it before SNAP sent them all (and FB) off to the races. With that said, Twitter has a history of disappointing and I'm not aware of anything they've done recently to better monetize the site. I also haven't done any DD on them in forever after getting stuck long a few times and having to wait a quarter or so twice for what should have been a short term trade.
So, thanks to OP Justaryns, here's some follow on DD. Now I'm more conflicted.
Financials.
Strong balance sheet. Company had $7.8 Billion cash on hand end of June, adding $1 Billion of that during the first six (crash/shutdown) months of the year. Only $831 Million of current liabilities and total debt is $4.1 Billion. Market Cap is less than 4x book value. No issues here.
Income statement is a bit more hokey. They took a major charge last quarter for a "non-cash tax deferred asset". That messed up a slow but steady growing trendline. How much so? Check the CNBC graphic:

2Q: Whoops
Also during the last quarter, Twitter had a massive hack where some moron tried to use the accounts of famous people to try and sell (Edit; The currency that we doth not speak its name). No word on which autist here did that. The problems continued into the last few weeks, when Twitter had a massive outage that the President blamed cited the Babylon Bee as Biden protection. That's more of a reminder that headline and political risk remains in all communication services stocks, and tomorrow we'll get a better reminder as the CEO's of Twitter, Facebook, and Microsoft testify before a Congress that hates them more than their own voters.
So Twitter has execution problems, political risk, and a CEO that is still trying to decide what he wants to be when he grows up. Yet it's had a massive run up as pin action from SNAP. Does it have further room to run? Chart comparisons suggest it could.

Relative Performance of SNAP, PINS, TWTR, and FB
This is where I get heartburn on the short. Over the past year, PINS and SNAP have had over a 150% return. FB, much more established and with a market cap 20 times that of Twitter, has still given a respectable 46% return. Twitter is up 73%, which is a lot...until you compare it to peers like SNAP and PINS.
Further, analysts are sour on Twitter, with 32 of 41 giving hold or underperform ratings, and a stock price 20% below current prices. I tend to consider them a contra-indicator, in that they move after sentiment does, usually not before.

CNBC analyst summary
So, I'm torn. If Dorsey can demonstrate he has finally decided to execute a business plan and fix the recurring technical/security issues, there's real value to unlock here. Short term....I'm probably willing to take a gamble that he hasn't, and buy a few puts. What say y'all?
Related Positions: 6 FB 275 Nov 20 calls. No positions yet on TWTR.
submitted by One_Eyed_Man_King to wallstreetbets [link] [comments]

Price increase drives 98% of Bitcoin holders into a state of profit.

Price increase drives 98% of Bitcoin holders into a state of profit.
by Mickael Mosse
The price of bitcoin jumped significantly on Wednesday after the payment processor Paypal announced cryptocurrency support. The jump in value has pushed a large number of bitcoin holders into a state of profit, according to Glassnode “percent of UTXOs in profit” statistics. Based on the current data, 98% of all bitcoin UTXOs are in a state of profit touching levels previously recorded three years ago in December 2017.
The price of bitcoin (BTC) closed at a high at $13,184 per coin on Wednesday, October 21 following the announcement from Paypal. During the evening trading sessions, the onchain research and analysis firm Glassnode tweeted about the number of bitcoin unspent transaction outputs (UTXOs) in profit. A UTXO refers to the amount of bitcoin someone holds that has not been spent and is simply stored in a bitcoin wallet.
“98% of all bitcoin UTXOs are currently in a state of profit,” Glassnode tweeted. “A level not seen since Dec 2017, and typical in previous BTC bull markets.”

https://preview.redd.it/1dtqk311dvu51.png?width=1450&format=png&auto=webp&s=67b10a88f9891ade45f459dcf03fc70bad23b5c9
Since then the price has dropped a hair but the price of bitcoin (BTC) is still up 4.3% over the last seven days. Long term holders have seen a 72.4% increase during the last 12 months, 34.9% during the last 90-days and 22% against the 30-day span. Glassnode’s onchain stats report, details that the subindex measuring investor “sentiment” increased ending the week “at 70 points.”
A number of crypto analysts and traders believe that bitcoin’s current price range is a key indicator for moving forward. Moreover, BTC’s dominance level, it’s market cap measured against all 7,000+ crypto assets, has risen to 63.2%. The senior financial analyst at Fxpro, Alex Kuptsikevich, believes bitcoin is testing crucial macro levels.
“At current levels, Bitcoin is testing cyclical highs,” Kuptsikevich wrote in a note to investors. “Since the beginning of 2018, it has not been able to gain a foothold at levels above $12,000. It is equally important that at new highs, indicators like the RSI are far from the overbought condition, indicating significant potential for further growth. Closing the week above $12,800 would be the highest level in two and a half years, opening a direct path of growth to the historic highs of $20,000 that we saw three years ago.”
Kuptsikevich added:
Bitcoin breaking through two round levels of $12k and $13k opens doors for further growth. The current price dynamics led the coin to re-test the peak of july 2019, which at that time was the highest point of the rally. Nowadays, purchases take place against the background of confidence that bitcoin has more and more supporters in the traditional financial world.
Eric Demuth, cofounder and CEO of Bitpanda believes that cryptocurrencies, in general, started to “establish themselves as a trusted asset class of the worldwide financial market such as gold and stocks.” Demuth thinks that the Paypal support announced on Wednesday is just the start, as he believes more large players will be joining the crypto party.
“2020 has shown that crypto is here to stay,” Demuth explained. “There has been a huge inflow of institutional capital as well as record numbers of new retail customers adopting cryptocurrencies. I am certain we will see more big players like Paypal joining the party in 2021.”
Read the article here:https://mickaelmosse.com/price-increase-drives-98-of-bitcoin-holders-into-a-state-of-profit/
And don't miss out on any bitcoin news, daily on the mickaelmosse.com app.
submitted by williamsouza10 to u/williamsouza10 [link] [comments]

Weekly Wrap 07/08

Market News
Stocks rose further with the S&P edging ever closer to all-time highs. Trump signed an executive order banning TikTok from operating in the US if not sold from their Chinese parent company, ByteDance. So far, Microsoft is the most likely candidate to buy the video-sharing app’s US operations, which has 100 million users. This has triggered uncertainty for market-leading tech stocks.
Gold prices once again hit new all time highs this week after breaking the $2,000 per ounce level for the first time ever. Bank of America Securities analysts predict further upside potential given the extensive quantitative easing being implemented across the globe. With the U.S Fed targeting aggressive inflation, this further buoys the price forecasts for the precious metal.
Bitcoin broke through its key resistance a week prior to gold. Since the breakout, it set highs of over $12,000 before selling off and finding support. Ethereum reached and tested the $400 level while Ripple also recorded significant gains. Overall there is significant upward momentum with sentiment strongly in favour of the bulls.
The Invictus Margin Lending (IML) Fund had a record breaking week with daily annualized returns peaking at 32.83%. Annualized returns for the week totaled 19.78% as demand for credit increased in parallel with the upward price momentum of the cryptoasset class.
Industry News
Market Indicators
Other News
submitted by Camaa to InvictusCapital [link] [comments]

Weekly Wrap 07/08

Market News
Stocks rose further with the S&P edging ever closer to all-time highs. Trump signed an executive order banning TikTok from operating in the US if not sold from their Chinese parent company, ByteDance. So far, Microsoft is the most likely candidate to buy the video-sharing app’s US operations, which has 100 million users. This has triggered uncertainty for market-leading tech stocks.
Gold prices once again hit new all time highs this week after breaking the $2,000 per ounce level for the first time ever. Bank of America Securities analysts predict further upside potential given the extensive quantitative easing being implemented across the globe. With the U.S Fed targeting aggressive inflation, this further buoys the price forecasts for the precious metal.
Bitcoin broke through its key resistance a week prior to gold. Since the breakout, it set highs of over $12,000 before selling off and finding support. Ethereum reached and tested the $400 level while Ripple also recorded significant gains. Overall there is significant upward momentum with sentiment strongly in favour of the bulls.
The Invictus Margin Lending (IML) Fund had a record breaking week with daily annualized returns peaking at 32.83%. Annualized returns for the week totaled 19.78% as demand for credit increased in parallel with the upward price momentum of the cryptoasset class.
Industry News
Market Indicators
Other News
submitted by Camaa to cryptotwenty [link] [comments]

Cryptocurrency technical analysis: bears drive the crypto market movement

Cryptocurrency technical analysis: bears drive the crypto market movement

Cryptocurrency technical analysis: bears drive the crypto market movement
The negative sentiment continues to reign in the crypto asset market, as indicated by technical and fundamental analyzes. Thus, the drop in demand for many top altcoins caused by the bitcoin correction has already led to the fact that the bears have reached many targets located in the support area. At the same time, several interesting events took place on the crypto market over the past working week. On July 15, it became known that the Chinese authorities will test the digital yuan on the largest supplier of groceries and food delivery Meituan Dianping. The work of the Chinese CBDC is already being tested by McDonald’s corporations, Starbucks and DiDi, the largest taxi aggregator in the Middle Kingdom. On June 16, Samsung announced the start of a partnership with Stellar, within which the developments of the blockchain project will be integrated into the Samsung Blockchain Keystore and Samsung Galaxy smartphones. Also, one cannot fail to note the large-scale hacking of the social network Twitter. On the night of July 15–16, unknown attackers gained access to 130 accounts of prominent businessmen, politicians and opinion leaders. As a result, fake Elon Musk, Changpen Zhao, Bill Gates and Barack Obama posted messages calling for bitcoins to be sent to them, which allowed them to collect 12.86 BTC.

Bitcoin

On the four-hour chart, bitcoin develops a very clear movement along the levels from the point of view of technical analysis. After retesting the resistance at $9500 and the lower boundary of the “Triangle” pattern, BTC quotes rushed down to the first target at $9150. If in the coming days the price consolidates below the support level, then in the short term we should expect the development of a downtrend. The closest targets for sellers will be $9000 and $8760 (38.2% correction at Fibonacci levels). At the same time, the persistence of negative sentiment in the stock market will be a signal for the digital currency market, which will continue to fall until the beginning of autumn and the recovery of the business cycle.
In the long term, this may lead to a decline to supports at $8330 and $8050. But in order to push the price lower, the bears will need to exert enormous forces. Moreover, from these levels, whales will begin to gain new positions, which will push the bitcoin price up and launch a medium-term growth trend. It will confirm its departure above the 200-day simple moving average (SMA) line and the closing of Japanese candlesticks above $9500. In the long term, this will make it possible to achieve medium-term goals in the form of clusters of $9,900- $10,000 and $10,400- $10,500.

BTC / USD chart, four-hour timeframe

So far, the first cryptocurrency also cannot form a global trend, and this has led to the fact that Bitcoin continues to consolidate movement within the $8900 cluster (50% correction at Fibonacci levels) — $9580. BTC quotes have already dropped below the $9,300 level, which could lead to sales up to $8,900. In the future, we should expect Bitcoin to test the targets of $8600 and $8220, where the 200-day moving average (MA) line and the lower border of the technical analysis model “Triangle” (on the chart below, its borders are marked in orange).
For a short time, BTC quotes may even drop to supports at $7400 and $6800, but the forecast for the price rebound back up and the formation of a long-term upward trend seems more likely. This will allow Bitcoin to reach the $10,000 and $10,500 levels, and their subsequent breakout will allow the asset to rush to the $11,000, $11,200- $11,300 and $11,800 levels by the end of the year.

BTC / USD chart, daily timeframe

Ethereum

The altcoin market is also developing neutral dynamics so far, but more and more signals appear on the charts that speak in favor of the development of a downward movement.
Big capital is not yet ready to acquire digital assets at a price that has grown strongly since March.
Ether price develops along the $233 level (11.4% Fibonacci retracement line) and within the framework of consolidation within the $220- $251 range. The drop in the total demand for digital assets will lead to a decrease in the cost of ether towards the first target in the form of consolidation of $195- $200, where the 200-day MA line is located. The further course of trading will be determined by the appearance or absence of demand for cryptocurrencies. In the long term, by the end of the year, we should expect a move above $251 to the resistance areas of $280, $300 and $320.

ETH / USD chart, daily timeframe

Litecoin

On the daily chart, Litecoin continues to consolidate above the support boundaries in the form of a $40- $42 cluster, which takes the form of the Andrews Pitchfork technical analysis model. The development of the downward dynamics will lead to the fact that the cost of LTC will drop to $36 and $30.60. But in the medium term, we should expect the quotes to move above the 200-period MA line, which passes in the resistance area of $47.45. Overcoming it in the coming months will allow LTC quotes to soar to the levels of $51.50 (38.2% correctional level along the Fibonacci lines), $56.80, $60.80, $65 and $70.

LTC / USD chart, daily timeframe

Bitcoin Cash

The Bitcoin fork began to decline after the breakout and a very clear retest of the lower boundary of the technical analysis model “Triangle” (on the chart below, its boundaries are marked in pink). At the same time, the Bitcoin Cash quotes remain within the framework of a broader consolidation in the form of the “Horizontal Channel” $200- $272. However, the priority trading scenario remains a decline in Bitcoin Cash to the $200 level. There is also a high probability of updating the March lows in the $170 and $150 regions.
However, in the months ahead, expect BCH to move above $272, where the 200-day SMA line passes, paving the way to the $305, $356 and $400 levels.

BCH / USDT chart, daily timeframe

XRP

XRP is also under the influence of bears, leading to a decline towards the resistance level at $0.2050. In the coming weeks, the asset may test the support at $0.18, where the lower border of the Descending Triangle model lies. The development of the downward movement will allow XRP to test the support at $0.16 and $0.1470.
But in the medium term, a signal for a reversal of the downtrend may appear in the event of a break above the 200-day MA line passing at the level of $0.2360. If this happens, then in the second half of 2020 XRP will be able to reach important targets at the levels of $0.2540, $0.27, $0.2860 and $0.30.

XRP / USD chart, daily timeframe

Binance Coin

Binance Coin tried to break the bottom of the Ascending Triangle, but failed. The current quotes are supported by the 200-day SMA line and the boundaries of the $15.30- $16 area. Maintaining the downward momentum will allow BNB to rush down to the supports at $13.80 and $11.50.
But the most likely scenario looks like a final consolidation above the 200-day MA. This will open the way to the current resistances at $17 and $18.14, as well as the first target in the form of a $19.36- $20 cluster. Testing of the $21.30 and $23.50 levels is also expected in the coming months.

BNB / USDT chart, daily timeframe
Now more and more crypto assets are showing a willingness to succumb to bearish pressure, which will send quotes into a short decline that will last over the next few weeks. But by the end of the year, we should expect the activity of whales, which will begin to massively buy cryptocurrencies. This will undoubtedly send their value into a long-term upward rally.
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submitted by Smart_Smell to Robopay [link] [comments]

Ethereum, LINK, and Ren: These 3 altcoins are supposed to beat BTC

Ethereum, LINK, and Ren: These 3 altcoins are supposed to beat BTC
In the past two months, we have seen a significant decline in bitcoin dominance, While the value on May 15 was still 69.60%, it fell to around 62.60% by yesterday's Sunday.
So that means that many altcoins perform better than BTC.
However, in view of the more than 5000 altcoins, the question of which coins should now outperform Bitcoin naturally arises.
The spectrum ranges from the well-known alts such as Ethereum to the new top performers like Chainlink.
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In this article, let's take a look at an analysis by Santiment and see why they think Ethereum (ETH), Chainlink (LINK), and Ren (REN) could beat Bitcoin.

Santiment underlines the feeling of the Altcoin season

First of all, the Santiment report presented is about a so-called short-term outlook.
This means that all statements refer to a short-term period. And for this short-term period, the analysis company now sees the altcoins ETH, Link, and REN at the forefront.
The report begins with a brief summary of the situation.
While the Bitcoin price is largely still in the price range of $ 9,000 - $ 9,500, many altcoins, in particular, have seen strong increases.
Santiment sees the greatest potential here at Chainlink (LINK).

Chainlink as a winner in front of Ethereum and REN

In the report presented, Santiment uses 3 indicators to assess the short-term situation of the altcoins. Chainlink sees this in the first place.
In addition to the positive indicators, the company also attests to the token based on the Ethereum Blockchain a bullish signal through the use in the context of China's National Blockchain Service Network (BSN).
After this news was published on July 8, the LINK course saw strong growth.
Let's take a quick look at the chart:

https://preview.redd.it/azgvkypdosa51.png?width=1170&format=png&auto=webp&s=8045a983e858fa8d0551253064f7df6946492fc6
We can see from the 30-day chart that the price of Chainlink rose from around USD 4 to USD 6 at the beginning.
This makes LINK one of the best performers of the past 30 days.

Ethereum and REN are further candidates

In addition, the company says that they see Ethereum and REN as additional candidates for outperformance. As already mentioned, 3 indicators were considered for this.
Now let's take a look at the ones behind it. Then, of course, we also look at the values ​​for the individual altcoins.
NVT, DAA and Sentiment Volume Consumed as indicators
The first indicator examined is the Network Value to Transactions Ratio (NVT).
This is a metric that relates the volume of transactions divided by the number of coins/tokens in circulation to market capitalization. This is done over a period of time. In our case, that's the 3-day average.
The second indicator is the daily active addresses in relation to price divergence. Simply put, the price dynamic is set in relation to the number of active addresses.
You can find more information here. The third parameter is called Sentiment Volume Consumed. This is about the measured “sentiment” on Twitter.
Now let's look at the ratings for Bitcoin, Ethereum, LINK, and REN.
The company assigned a numerical value of 0-10 for each indicator, which varies between maximum bearish (0) and maximum bullish (10).

LINK before Ethereum, REN, and Bitcoin: the results

Let's start with the top dog Bitcoin. BTC received only a value of 2 for the indicator NVT. The DAA value was 5 and the value for Sentiment Volume Consumed was 6.5. This gives a total value of 4.5, which Santiment sees as a neutral rating.
Ethereum itself receives 5 points for NVT, 8 points for DAA, and 7.5 for SVC. This results in a total value of 6.8. Santiment rates this as bullish. Ethereum got the second-best total after Chainlink.
LINK itself received 9 points in the NVT area. 5.5 points were awarded for DAA and 7 points for SVC. This gives a value of 7.2.
REN received 8 points in NVT, 7.5 in DAA, and only 3.5 in SVC. This gives a total value of 6.3, which is still bullish overall.
Conclusion: Short-term outperformance possible
Santiment's report shows that the 3 cryptocurrencies Ethereum, Chainlink, and Ren offer the short-term potential to outperform the top cryptocurrency Bitcoin. However, it is important to understand that these figures only give a short-term outlook and therefore do not constitute a long-term trading recommendation.
submitted by jakkkmotivator to thecryptobasic [link] [comments]

I've reproduced 130+ research papers about "predicting the stock market", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict stock market" or "predict forex" or "predict bitcoin" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.
Here are the categories:
Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.
Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.
Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.
So in conclusion, if you're building trading strategies. Simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.
submitted by chiefkul to StockMarket [link] [comments]

Bitcoin vs. Altcoins: Which rocket will fire first?

Bitcoin vs. Altcoins: Which rocket will fire first?
As always, we present the latest findings and insights in the crypto world every 14 days. About 8 weeks ago, we wrote in our report for the first time in a long time that we assume that the altcoins will make another strong comeback. From today's perspective, we have hit the bull's eye.


The current situation on the market is interesting: It seems that we are in a panic phase in which everyone is looking for the next big Altcoin pump.
Good examples of this are the sometimes irrational rise in Dogecoin's price or the multitude of extremely bullish tweets about some DeFi tokens on Twitter.
In this report we look at the "boring" Bitcoin course and the altcoins.
On the one hand, we ask ourselves how BTC is as digital gold given the fact that gold is on the way to an absolute all-time high.
On the other hand, we want to see if there is any further upside potential for the alts.

The Altcoin casino is in full swing

Two weeks ago we looked at the Bitcoin dominance chart. We were able to identify an upward channel.
A look at the chart below shows that this channel has clearly been broken down.
The Altcoin casino is in full swing and shows how much interest (and longing for big profits) is among many investors.
Let’s finish dominance and take a look at the NASDAQ DeFi Index.
Since September 2019, NASDAQ has listed a DeFi index that tracks MakerDao, Augur, Gnosis, Numerai and 0x. Admittedly, the currently large projects such as COMP, Lend, KNC and SNX are missing.
Here too we can see that the DeFi market (according to the index) has been in the consolidation phase for a few days.
However, if we look at other projects like the ones just mentioned (COMP, LEND, etc.) or Dogecoin, we can see that there is still positive momentum in the Altcoin market.
It is important to understand that you should not be tempted by FOMO.
The entire DeFi market is in a young phase, growth has been high in the last few weeks, and investors should, therefore, expect consolidation before any further growth phase begins.

Bitcoin and altcoins: an overview of on-chain metrics

In contrast to chart analysis, on-chain metrics help us to understand more complex relationships and to identify long-term or sustainable trends.
In this case, we are now looking at a chart that shows us when Bitcoin was last moved:
We can see that the last time that so many BTC were not moved was in January 2016.
This time marked the end of a bear market. Let us be surprised by how the current journey will continue from here.

Ethereum Net Flow: What about the ETH offering on exchanges?

In addition to Bitcoin, we also want to look at Ethereum. We start with a well-known graphic: the netflows from Exchanges.
Here we can see over the period from mid-March that more Ethereum (ETH) flowed from exchanges than to the stock exchanges themselves.
The peak was June, in which around 800,000 ETH more flowed from exchanges than went to them.
Long story short: We see a shortening of the offer on the stock exchange, which is logically bullish for Ethereum.
In summary, we can say that the entire crypto market is currently in good condition. Bitcoin is stable at over $ 9,000 and some altcoins have been picking up speed over the past few weeks. At the same time, BTC dominance decreases, which gives the altcoins further scope. The on-chain metrics fit into this sentiment and make us bullish.
submitted by jakkkmotivator to thecryptobasic [link] [comments]

LOEx Market Research Report on July 10: Fluctuation continues, hot topics are frequent

LOEx Market Research Report on July 10: Fluctuation continues, hot topics are frequent
[Today's Hot Tips]
1. [BTT is reported at 0.000422 USDT, a new high since the end of February]
According to the LOEx market, BTT fell continuously this morning after reaching a maximum of 0.00045 USDT. It is now reported at 0.000422 USDT, a 24.7% increase of 24.77%. Sun Yuchen said in a personal Chinese Twitter yesterday that BTT will conduct viral marketing on TikTok. In addition, the total pledge of DLive BTT Staking has exceeded 20 billion. DLive donates and subscribes 25% of the total revenue for BTT staking rewards. This feature is a unique feature of DLive and aims to give back to the community by inspiring people to participate in the overall development of the platform.
2. [Russian encryption law takes effect early next year, Coinbase begins preparations for listing]
Foreign media: The Russian encryption law will take effect on January 1, 2021.
3. [Central Bank of Lithuania began pre-sale of digital currency LBCoin, which will be officially released on July 23]
According to the news of the Science and Technology Board Daily on July 10, on July 9, the digital currency LBCoin issued by the Central Bank of Lithuanian began to register for pre-sale on the website, and will be officially sold on July 23. On the 2nd of this month, the Central Bank of Lithuania announced that it will issue digital currency LBcoin. The digital currency is produced based on blockchain technology and is also part of digital currency and blockchain technology projects of Lithuania’s pilot with a state-backed background. LBCoin will consist of 6 digital currencies and 1 physical silver coin at a price of 99 Euros. 24,000 digital currencies and 4000 silver coins will be issued. It can be directly exchanged with the central bank and the dedicated blockchain network.
[Today's market analysis]
Bitcoin (BTC)In the early hours of this morning, BTC continued to fluctuate within a narrow range of 9300 USDT and is now adjusted around 9220 USDT. Mainstream currencies fell. BTC is now reported at 9223 USDT on LOEx Global, a 0.05% increase in 24h.
The currency circle has been more popular this year than it was in previous years. After experiencing the desperation of 312 in the epidemic, the halving of the market once every four years will quickly adjust the market back. The halving of Bitcoin, the big hot spot, is still in accordance with historical laws, which has caused a wave of bull markets in the entire market, prices have stabilized, and there has been no temporary decline in the short term.
In the follow-up, we encountered the overseas vibrato version, TikTok, and began to call out the phenomenon of single Dogecoin. A big V blogger made a video calling everyone to buy Dogecoin, which continued to bring heat to the market.
As soon as the market heats up, market sentiment will become more and more fanatical, and the market will naturally rise steadily. New hotspots have appeared frequently these days. It's a bit of a concept of the theme of speculation. Yesterday, I said that the market will continue to fluctuate here, so we adapt to speculation hotspots and fast in and out in the short term.
Operation suggestions:
Support level: the first support level is 9200 points, the second support level is 9000 integers;
Resistance level: the first resistance level is 9400 points, the second resistance level is 9500 points.
LOEx is registered in Seychelles. It is a global one-stop digital asset service platform with business distribution nodes in 20 regions around the world. It has been exempted from Seychelles and Singapore Monetary Authority (MAS) digital currency trading services. Provide services and secure encrypted digital currency trading environment for 2 million community members in 24 hours.
https://preview.redd.it/icsldgrywy951.png?width=616&format=png&auto=webp&s=06feccb78df46b8d129bf6c9dba829431e7b6cb7
submitted by LOEXCHANGE to u/LOEXCHANGE [link] [comments]

Daily Crypto Brief for Friday, June 26, 2020.

This is your ITB Media Daily Crypto Brief for Friday, June 26, 2020.
In Mainstream Financial News.
CNBC reports: Here’s what a new SEC chair could mean for crypto, according to Bitcoin investor Michael Novogratz
A potential change at the top of United States’ main securities regulator could be a good thing for cryptocurrencies, investor Michael Novogratz said on Monday.

Bloomberg Headline: Lobbyist Jack Abramoff Charged in CryptoCurrency Case, U.S. Says
Jack Abramoff, the onetime Washington insider who went to prison in a lobbying scandal, was charged by the U.S. with illegally lobbying for a fraudulent cryptocurrency project. Abramoff has agreed to plead guilty to conspiracy and violating the Lobbying Disclosure Act and faces as long as five years in prison, according to a court filing and U.S. Attorney David Anderson in San Francisco.

The Asia Times Reports: Australians can pay for bitcoin at post office
Australians Can Now Pay for Bitcoin at 3,500 Australia Post Offices. Australian residents can now pay for bitcoin at more than 3,500 national post offices. The new service launched by Bitcoin.com.au is aimed at promoting cryptocurrencies to mainstream audiences, alongside established businesses and organizations.

Wall Street Journal Headline: Lobbyist Jack Abramoff Charged With Fraud
On June 25th, 2020, lobbyist Jack Abramoff and CEO Roland Marcus Andrade were charged in San Francisco federal court with fraud in connection with a $5 million cryptocurrancy deal. Abramoff has agreed to a negotiated plea of guilty.

Forbes Headline: Legendary Investor Jim Rogers Warns Governments Will Have To ‘Eliminate’ Bitcoin
Bitcoin has made its fair share of enemies since it was created a little over ten years ago. ... Now, legendary investor Jim Rogers has warned bitcoin and similar "virtual currencies beyond the influence of the government" will not be allowed to survive—and said the bitcoin price is headed to zero.

In Crypto Publications headlines.

Bitcoin Dropping to $6K ‘Golden Pocket’ Isn’t Bearish, Says Trader by Cointelegraph
Bitcoin (BTC) could crash to $6,000 and still remain bullish, one trader claimed on June 26 as the largest cryptocurrency tested $9,000 support. In a Twitter analysis, the popular trader known as SteveCrypt0 offered an alternative to the bearish sentiment coming from markets this week. Trader: $6K is “healthy correction”

Trio of Bitcoin Tokens Lures DeFi Yield Farmers to New Pastures by CoinDesk

To recap, Synthetix is a platform for minting and exchanging synthetic tokens that mirror the price of other assets. On June 19, Synthetix joined the Ren Project and BitGo in creating a pool of bitcoin-backed tokens, for smooth liquidity between three crypto products that should be all but interchangeable. Plus, each of the DeFi platforms is promising token rewards in order to get more participation in the pool. This pool of sBTC, renBTC and WBTC lives on Curve, an automated market maker that has extremely low price slippage thanks in part to its specialization in stablecoins.

CryptoNews reports on its front page: Blockchain Game Firm Releases Samsung Phone Featuring a Crypto Wallet
Samsung has released three special-edition Galaxy smartphones in conjunction with WeMade Tree, the blockchain arm of South Korean gaming giant WeMade. The devices are customized versions of the Samsung Galaxy S20, S20+ and S20 Ultra, but come pre-loaded with WeMade Tree’s Wemix cryptocurrency wallet. According to a sales platform created for the phones, the most expensive of the three devices is priced at USD 1,329. This has been your ITB Media Daily Crypto Brief for Friday, June 26, 2020.
submitted by Gigantile to Bitcoin [link] [comments]

Bitcoin Dropping to $6K ‘Golden Pocket’ Isn’t Bearish, Says Trader

Bitcoin (BTC) could crash to $6,000 and still remain bullish, one trader claimed on June 26 as the largest cryptocurrency tested $9,000 support. In a Twitter analysis, the popular trader known as SteveCrypt0 offered an alternative to the bearish sentiment coming from markets this week. Trader: $6K is “healthy correction” With BTC/USD circling $9,200, analysts […]
submitted by FuzzyOneAdmin to fuzzyone [link] [comments]

XLM can reach $0.10 soon – here's why

XLM can reach $0.10 soon – here's why
Stellar is firmly occupying the 13th spot on the list of the cryptocurrencies with the largest market cap. Last week, we witnessed yet another proof of lumens’ potential: as all the coins dropped on June 02, it was XLM to recover faster than others.
There was a veritable crypto massacre on June 2, when the price of Bitcoin fell by 8% in just five minutes. As usual, other coins followed, with Stellar also losing 8%:
https://xlmwallet.co/
The Bitcoin sell-off was predictable. As soon as BTC makes a move beyond the psychologically important $10,000 mark, whales start selling. Plus, we feel that there are still many miners who have been stashing their mining proceeds for the past few months, waiting for a rally. They decided to hold on to their coins just after the halving, when the expected price explosion didn’t happen.
In fact, data suggests that over 60% of all Bitcoins in active circulation haven’t moved for several months. This is a major indicator of a HODLing sentiment in the market. But as soon, as there’s a bullish move, HODLers jump on the opportunity and sell.
As we’ve said, XLM dropped 8% from $0.083519 to $0.076917. That was a major disappointment to many traders and investors, as Stellar had been on a roll for the whole preceding week since May 26. During that period, it gained an amazing 29%, going from $0.06459 to $0.08352. There were all the reasons to expect a move above $0.10 — a very important mark for XLM.
However, after the ‘massacre’ it was finally Stellar’s time to shine. If you look at the chart for the past month, you can see that the drop was just the deepest among the many recent corrections on the way to a local peak of $0.085514 on June 4:

https://xlmwallet.co/
This marked an overall rise by 32% in just 10 days — an amazing result for a top-20 coin.
What about the slight downward movement that came after? It represents another 7% slump, but from a much higher peak. In the opinion of the XLMwallet analysts, this is nothing more than a regular correction before a new bullish stretch.
The key resistance level to break through will be $0.088. If Stellar manages to overcome it, there’s hardly any obstacles on the way to $0.10.
On the fundamentals side of things, there isn’t much to report: the Stellar Foundation has kept quiet in the past couple of weeks. Therefore, we can expect the price of XLM to largely follow that of Bitcoin. Here, there are more reasons to expect further growth, as BTC miners are quickly returning to the network. The average block time is now at its lowest since 2014: a bit over 8.5 minutes. Of course, mining difficulty will be soon adjusted upward, but generally such ‘difficulty runs’ are a very bullish sign.
Bloomberg updated its BTC price forecast to $20,000 by the end of 2020. A doubling of the BTC price can produce a rise of at least 80% in the price of XLM, taking it all the way to $0.18 or even higher. Therefore, our advice to everyone who is holding lumens in their XLMwallet remains the same: hold.
Don’t get us wrong: we love it when you use our fast, light-weight wallet to send XLM to your friends or pay for goods and services online. Stellar is indeed one of the best cryptocurrencies for payments. But right now the wisest thing is to HODL. If you need to pay in crypto, rather pay in stablecoins.
Do you agree with our analysis? Write your own XLM price forecast in the comments! And if you don’t have an XLMwallet yet, hop over to https://xlmwallet.co/ and activate one right now — it takes only 10 seconds!
Website — https://xlmwallet.co/
Medium — https://medium.com/@XLMwalletCo
Teletype — https://teletype.in/@XLMwalletCo
Twitter — https://twitter.com/XLMwalletCo
Reddit — https://www.reddit.com/XLM_wallet/
submitted by Stellar__wallet to XLM_wallet [link] [comments]

10 Malentendidos sobre El Web Scraping

1. El web scraping es ilegal
Muchas personas tienen falsas impresiones sobre el web scraping. Es porque hay personas que no respetan el gran trabajo en Internet y usan web scraping herramienta robando el contenido. El web scraping no es ilegal en sí mismo, sin embargo, el problema surge cuando las personas lo usan sin el permiso del propietario del sitio y sin tener en cuenta los Términos de Servicio (Términos de Servicio). Según el informe, el 2% de los ingresos en línea se pueden perder debido al mal uso del contenido a través del raspado web. Aunque el raspado web no tiene una ley clara y términos para abordar su aplicación, está abarcado por las regulaciones legales. Por ejemplo:
2. El web scraping y el web crawling son lo mismo
El web scraping implica la extracción de datos específicos en una página web específica, por ejemplo, extraer datos sobre clientes potenciales de ventas, listados de bienes inmuebles y precios de productos. Por el contrario, el web crawling es lo que hacen los motores de búsqueda. Escanea e indexa todo el sitio web junto con sus enlaces internos. "Crawler" puede navegar por la web sin un objetivo específico.
3. Puedes scrape cualquier sitio web
A menudo que las personas solicitan scraping cosas como direcciones de correo electrónico, publicaciones de Facebook o información de LinkedIn. Según un artículo titulado "¿Es legal el web scraping?" Es importante tener en cuenta las reglas antes de realizar el web scraping:
Una persona puede ser procesada bajo varias leyes. Por ejemplo, uno raspó cierta información confidencial y la vendió a un tercero, ignorando la carta de prohibición enviada por el propietario del sitio. Esta persona puede ser procesada bajo la ley de Trespass a Chattel, Violación de Digital Millennium Copyright Act (DMCA), Violación de la Ley de Computer Fraud and Abuse Act (CFAA) and Misappropriation
No significa que no pueda scrape canales de redes sociales como Twitter, Facebook, Instagram y YouTube. Son amigables con los servicios de scraping que siguen las disposiciones del archivo robots.txt. Para Facebook, debe obtener su permiso por escrito antes de realizar el comportamiento de la recopilación automatizada de datos.
4. Necesitas saber cómo codificar
Una herramienta de web scraping (herramienta de extracción de datos) es muy útil para profesionales no tecnológicos como especialistas en marketing, estadísticos, consultores financieros, inversores de bitcoin, investigadores, periodistas, etc. Octoparse lanzó una característica única: web scraping templates que scrapers preformateados que cubren más de 14 categorías en más de 30 sitios web, incluidos Facebook, Twitter, Amazon, eBay, Instagram y más. Todo lo que tiene que hacer es ingresar las palabras clave/URL en el parámetro sin ninguna configuración de tarea compleja. El web scraping con Python lleva mucho tiempo. Por otro lado, una plantilla de web scraping es eficiente y conveniente para capturar los datos que necesita.
5. Puede usar datos scraped para cualquier cosa
Es perfectamente legal si extrae datos de sitios web para consumo público y los utiliza para análisis. Sin embargo, no es legal si scrape información confidencial con fines de lucro. Por ejemplo, scraping información de contacto privada sin permiso y venderla a un tercero para obtener ganancias es ilegal. Además, reempaquetar contenido raspado como propio sin citar la fuente tampoco es ético. Debe seguir de reglas sobre no enviar spam o cualquier uso fraudulento de datos está prohibido de acuerdo con la ley.
6. Un web scraper es versátil
Tal vez ha experimentado sitios web particulares que cambian su diseño o estructura de vez en cuando. No se frustre cuando se encuentre con sitios web que su scraper no puede leer por segunda vez. Hay muchas razones. No se activa necesariamente al identificarte como un bot sospechoso. También puede ser causado por diferentes ubicaciones geográficas o acceso de la máquina. En estos casos, es normal que un web scraper no pueda analizar el sitio web antes de establecer el ajuste.
7. Puedes scraping web a alta velocidad
Es posible que haya visto anuncios de scraper que dicen cuán rápidos son sus scrapers. Suena bien ya que le dicen que pueden recopilar datos en segundos. Sin embargo, si causas daños a la empresa, serás un delincuente y será procesado. Esto se debe a que una solicitud de datos escalables a una velocidad rápida sobrecargará un servidor web, lo que podría provocar un bloqueo del servidor. En este caso, la persona es responsable por el daño bajo la ley de "trespass to chattels" (Dryer y Stockton 2013). Si no está seguro de si el sitio web es scrapable o no, pregúntele al proveedor de servicios de desguace web. Octoparse es un proveedor de servicios de raspado web responsable que coloca la satisfacción de los clientes en primer lugar. Para Octoparse es crucial ayudar a nuestros clientes a resolver el problema y tener éxito.
8. API y Web scraping son lo mismo
API es como un canal para enviar su solicitud de datos a un servidor web y obtener los datos deseados. API devolverá los datos en formato JSON a través del protocolo HTTP. Por ejemplo, Facebook API, Twitter API, y Instagram API. Sin embargo, no significa que pueda obtener los datos que solicite. El web scraping puede visualizar el proceso ya que le permite interactuar con los sitios web. Octoparse tiene plantillas de web scraping. Es aún más conveniente para los profesionales no tecnológicos extraer datos al completar los parámetros con palabras clave/URL.
9. The scraped data only works for our business after being cleaned and analyzed
Many data integration platforms can help visualize and analyze the data. In comparison, it looks like data scraping doesn’t have a direct impact on business decision making. Web scraping indeed extracts raw data of the webpage that needs to be processed to gain insights like sentiment analysis. However, some raw data can be extremely valuable in the hands of gold miners.
9. Los scraped data solo funcionan para nuestro negocio después de ser limpiados y analizados
Muchas plataformas de integración de datos pueden ayudar a visualizar y analizar los datos. En comparación, parece que el scraping de datos no tiene un impacto directo en la toma de decisiones comerciales. De hecho, el web scraping extrae datos sin procesar de la página web que deben procesarse para obtener información como el análisis de sentimientos. Sin embargo, algunos datos en bruto pueden ser extremadamente valiosos en manos de los mineros de oro.
Con la plantilla de web scraping de Octoparse Google Search para buscar un resultado de búsqueda orgánica, puede extraer información, incluidos los títulos y meta descripciones sobre sus competidores para determinar sus estrategias de SEO; Para las industrias minoristas, el web scraping se puede usar para controlar los precios y la distribución de los productos. Por ejemplo, Amazon puede crawl Flipkart y Walmart en el catálogo "Electrónico" para evaluar el rendimiento de los artículos electrónicos.
10. El web scraping solo puede usarse en negocios
El web scraping se usa ampliamente en varios campos además de la generación de leads, el monitoreo de precios, el seguimiento de precios y el análisis de mercado para empresas. Los estudiantes también pueden aprovechar una plantilla de web scraping de Google Académico para realizar investigaciones de tesis. Los agentes inmobiliarios pueden realizar investigaciones de vivienda y predecir el mercado inmobiliario. Podrá encontrar personas influyentes de Youtube o Twitter para promocionar su marca o su propia agregación de noticias que cubra los únicos temas que desea al scraping los medios de comunicación y los RSS feeds.
submitted by melisaxinyue to webscraping [link] [comments]

I've reproduced 130+ research papers about "predicting bitcoin", coded them from scratch and recorded the results. Here's what I've learnt.

ok, so firstly,
all of the papers I found through Google search and Google scholar. Google scholar doesn't actually have every research paper so you need to use both together to find them all. They were all found by using phrases like "predict bitcoin" or "predict stock market" or "predict forex" and terms related to those.

Next,
I only tested papers written in the past 8 years or so, I think anything older is just going to be heavily Alpha-mined so we can probably just ignore those ones altogether.

Then,
Anything where it's slightly ambiguous with methodology, I tried every possible permutation to try and capture what the authors may have meant. For example, one paper adds engineered features to the price then says "then we ran the data through our model" - it's not clear if it means the original data or the engineered data, so I tried both ways. This happens more than you'd think!

THEN,
Anything that didn't work, I tried my own ideas with the data they were using or substituted one of their models with others that I knew of.

Now before we go any further, I should caveat that I was a profitable trader at multiple Tier-1 US banks so I can say with confidence that I made a decent attempt of building whatever the author was trying to get at.

Oh, and one more thing. All of this work took about 7 months in total.

Right, let's jump in.

So with the papers, I found as many as I could, then I read through them and put them in categories and then tested each category at a time because a lot of papers were kinda saying the same things.

Here are the categories:

Results:
Literally every single paper was either p-hacked, overfit, or a subsample of favourable data was selected (I guess ultimately they're all the same thing but still) OR a few may have had a smidge of Alpha but as soon as you add transaction costs it all disappears.

Every author that's been publicly challenged about the results of their paper says it's stopped working due to "Alpha decay" because they made their methodology public. The easiest way to test whether it was truly Alpha decay or just overfitting by the authors is just to reproduce the paper then go further back in time instead of further forwards. For the papers that I could reproduce, all of them failed regardless of whether you go back or forwards. :)

Now, results from the two most popular categories were:

The most frustrating paper:
I have true hate for the authors of this paper: "A deep learning framework for financial time series using stacked autoencoders and long-short term memory". Probably the most complex AND vague in terms of methodology and after weeks trying to reproduce their results (and failing) I figured out that they were leaking future data into their training set (this also happens more than you'd think).

The two positive take-aways that I did find from all of this research are:
  1. Almost every instrument is mean-reverting on short timelines and trending on longer timelines. This has held true across most of the data that I tested. Putting this information into a strategy would be rather easy and straightforward (although you have no guarantee that it'll continue to work in future).
  2. When we were in the depths of the great recession, almost every signal was bearish (seeking alpha contributors, news, google trends). If this holds in the next recession, just using this data alone would give you a strategy that vastly outperforms the index across long time periods.

Hopefully if anyone is getting into this space this will save you an absolute tonne of time and effort.

So in conclusion, if you're building trading strategies, simple is good :)

Also one other thing I'd like to add, even the Godfather of value investing, the late Benjamin Graham (Warren Buffet's mentor) used to test his strategies (even though he'd be trading manually) so literally every investor needs to backtest regardless of if you're day-trading or long-term investing or building trading algorithms.


EDIT: in case anyone wants to read more from me I occasionally write on medium (even though I'm not a good writer)
submitted by chiefkul to CryptoCurrency [link] [comments]

Project Design Help! Ideas much appreciated!

Hello pythonistas,
I'm graduate student and working on a research project about getting insights from tweets and analyzing them. But I stuck and need a hand. Short info about my programming knowledge, I can read and understand the code though not able to develop mine without tutorials. I think that clarifies which level am I at.
So lately, I watched a tutorial about Twitter Sentiment Analysis made by LucidProgramming(Thanks to him!) and I came across to a crossroad. I'm able make search queries on Twitter API and print the tweet blobs on terminal but can't go any further. What I planned to do, in simple manner, getting 30 days of tweets about 'bitcoin' search query and then later analyzing sentiments of these tweets. In order acquire these, how should I design and deploy my script? My questions are:

1) Do I need deploy this script to a platform such as Heroku or something since it needs to be run 7/24 in order to get tweets from twitter and push to database?(Btw I have free Github Education pack, most of the premium applications are free)
2) Which database would fit my needs in means of ease of use for beginners and handling high amounts of tweets?(I don't know how many tweets I would get but let's say 100k tweets in total for 30 days)
MySQL, PostgreSQL, MongoDB, SQLite or others. Afaik SQLite is not recommended if you deploy your script on server right? Or would rather say other solutions like json or xml(maybe more easier for beginner like me) formatted storage methods?

3) Or would you recommend me to just forget about deploying this script to a server and run on my own computer since free Twitter API doesn't allow users to make queries about tweet updates older than 7 days. In short, would be better to just run the script at the end of each every upcoming day and store the tweets?(I think this is a completely silly idea since it clashes with programming mentality)
Or if you know more straightforward and easy solution about it, please let me know!
Thanks in advance. Your help will be much appreciated!
Cheers!
Code:
from tweepy import OAuthHandler from tweepy.streaming import StreamListener from tweepy import Stream from tweepy import API from tweepy import Cursor import twitter_credentials import numpy as np import pandas as pd # Class for authentication class TwitterAuthenticator(): def authenticate_twitter_app(self): auth = OAuthHandler(twitter_credentials.CONSUMER_KEY, twitter_credentials.CONSUMER_SECRET) auth.set_access_token(twitter_credentials.ACCESS_TOKEN, twitter_credentials.ACCESS_TOKEN_SECRET) return auth # A basic listener class that just prints received tweets to stdout. class TwitterListener(StreamListener): def __init__(self, fetched_tweets_filename): self.fetched_tweets_filename = fetched_tweets_filename def on_data(self, data): try: print(data) with open(self.fetched_tweets_filename, 'a') as tf: tf.write(data) return True except BaseException as e: print("Error on_data: %s" % str(e)) return True def on_error(self, status): if status == 420: # Returning False on_data method in case rate limits occurs return False print(status) # Class for streaming and processing live tweets. class TwitterStreamer(): def __init__(self): self.twitter_authenticator = TwitterAuthenticator() def stream_tweets(self, fetched_tweets_filename, hash_tag_list): # This handles Twitter authentication and the connection to the Twitter Streaming API listener = TwitterListener(fetched_tweets_filename) auth = self.twitter_authenticator.authenticate_twitter_app() stream = Stream(auth, listener) stream.filter(track=hash_tag_list) # Class turning our script to a Client class TwitterClient(): def __init__(self): self.auth = TwitterAuthenticator().authenticate_twitter_app() self.twitter_client = API(self.auth) def filter_specific_tweets(self, q, lang, count, until, num_tweets): filtered_tweets = [] for tweet in Cursor(self.twitter_client.search, q=q, lang=lang, count=count, until=until).items(num_tweets): filtered_tweets.append(tweet) return filtered_tweets if __name__ == "__main__": hash_tag_list = ["barack oboma", "donald trump"] fetched_tweets_filename = "tweets.json" #twitter_streamer = TwitterStreamer() #twitter_streamer.stream_tweets(fetched_tweets_filename, hash_tag_list) q = 'bitcoin' lang = 'en' #geocode = '51.507496,-0.127285,20km' count = 100 until = '2020-05-04' num_tweets = 5 twitter_client = TwitterClient() print(twitter_client.filter_specific_tweets(q, lang, count, until, num_tweets)) 
submitted by salbayrak to learnpython [link] [comments]

Twitter Sentiment Analysis NLP In Python #5 - YouTube Sentiment Analysis Python  Twitter Sentiment Analysis ... Bitcoin Price Prediction using Sentiment Analysis Crypto Daily Update 🌎 Bitcoin 🌍 Ethereum 🌏 Sentiment Analysis Reading Bitcoin Sentiment  Long vs Short Positions - YouTube

Twitter Sentiment Analysis to Predict Bitcoin Exchange Rate P a g e 2 Sept 2014 2 There are many different sources of sentiment online including websites, blogs, and social networking sites like Facebook and Twitter. The use of natural language processing, text analysis and computational linguistics enables computers to identify subjective human communication and classify it. This practice ... Twitter or rather Twitter sentiment analysis can potentially act as an instrument to be able to determine trade patterns and Bitcoin price prediction. This social media platform could thereby provide information indicative of users’ emotions and feelings. Bitcoin Twitter Sentiment Analysis. Program that analyzes sentiment of recent tweets related to Bitcoin and provides recommendation suitable to Bitcoin extremist's point of view. This is not a financial advice or financial advise generating program. :) It utilizes vader sentiment analysis tool, tweepy api and a FUD wordlist prepared from past few years of experience in the cryptoo market ... Twitter or rather Twitter sentiment analysis can potentially act as an instrument to be able to determine trade patterns and Bitcoin price prediction. This social media platform could thereby provide information indicative of users’ emotions and feelings. Yet, the question remains: How could prices be predicted in this manner? Speaking in terms of investment, irrespective of whether it’s ... Twitter Sentiment Analysis & Bitcoin Price Predictions. The digital asset markets are short on traditional fundamental data. However, it lends itself well to sentiment analysis. More than any traditional asset class, digital asset valuation is investor sentiment-driven. There is a growing body of data supporting the reliability of sentiment analysis as a predictor of crypto investment returns ...

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Twitter Sentiment Analysis NLP In Python #5 - YouTube

Twitter Sentiment Analysis - Learn Python for Data Science #2 - Duration: 6:53. Siraj Raval 334,052 views. 6:53 . The Contrarian Trading Approach - using Sentiment Analysis to Bet Against the ... Sentiment Analysis & The World Of Cryptocurrency Data Today we are joined by Josh from The Tie, a company providing professional research & sentiment analysis of many cryptocurrencies. The first video in my sentiment reading series. This video covers how to analyze long vs short margin positions using two rules. The 60%/40% rule and the pos... Welcome to the crypto daily update on the market prices and movements. We will do Bitcoin technical analysis on the daily chart, as well as Ethereum technica... Twitter Sentiment Analysis using Natural language processing. Pre-processing techniques are covered like: 1) Removing stop words 2)Removing punctuations and ...

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