Electroneum Mining: How to Mine Electroneum - Complete Guide

batching in Bitcoin

On May 6th, 2017, Bitcoin hit an all-time high in transactions processed on the network in a single day: it moved 375,000 transactions which accounted for a nominal output of about $2.5b. Average fees on the Bitcoin network had climbed over a dollar for the first time a couple days prior. And they kept climbing: by early June average fees hit an eye-watering $5.66. This was quite unprecedented. In the three-year period from Jan. 1 2014 to Jan. 1 2017, per-transaction fees had never exceeded 31 cents on a weekly average. And the hits kept coming. Before 2017 was over, average fees would top out at $48 on a weekly basis. When the crypto-recession set in, transaction count collapsed and fees crept back below $1.
During the most feverish days of the Bitcoin run-up, when normal users found themselves with balances that would cost more to send than they were worth, cries for batching — the aggregation of many outputs into a single transaction — grew louder than ever. David Harding had written a blog post on the cost-savings of batching at the end of August and it was reposted to the Bitcoin subreddit on a daily basis.
The idea was simple: for entities sending many transactions at once, clustering outputs into a single transaction was more space- (and cost-) efficient, because each transaction has a fixed data overhead. David found that if you combined 10 payments into one transaction, rather than sending them individually, you could save 75% of the block space. Essentially, batching is one way to pack as many transactions as possible into the finite block space available on Bitcoin.
When fees started climbing in mid-2017, users began to scrutinize the behavior of heavy users of the Bitcoin blockchain, to determine whether they were using block space efficiently. By and large, they were not — and an informal lobbying campaign began, in which these major users — principally exchanges — were asked to start batching transactions and be good stewards of the scarce block space at their disposal. Some exchanges had been batching for years, others relented and implemented it. The question faded from view after Bitcoin’s price collapsed in Q1 2018 from roughly $19,000 to $6000, and transaction load — and hence average fee — dropped off.
But we remained curious. A common refrain, during the collapse in on-chain usage, was that transaction count was an obfuscated method of apprehending actual usage. The idea was that transactions could encode an arbitrarily large (within reason) number of payments, and so if batching had become more and more prevalent, those payments were still occurring, just under a regime of fewer transactions.

“hmmm”
Some sites popped up to report outputs and payments per day rather than transactions, seemingly bristling at the coverage of declining transaction count. However, no one conducted an analysis of the changing relationship between transaction count and outputs or payments. We took it upon ourselves to find out.
Table Of Contents:
Introduction to batching
A timeline
Analysis
Conclusion
Bonus content: UTXO consolidation
  1. Introduction to batching
Bitcoin uses a UTXO model, which stands for Unspent Transaction Output. In comparison, Ripple and Ethereum use an account/balance model. In bitcoin, a user has no balances, only UTXOs that they control. If they want to transfer money to someone else, their wallet selects one or more UTXOs as inputs that in sum need to add up to the amount they want to transfer. The desired amount then goes to the recipient, which is called the output, and the difference goes back to the sender, which is called change output. Each output can carry a virtually unlimited amount of value in the form of satoshis. A satoshi is a unit representing a one-hundred-millionth of a Bitcoin. This is very similar to a physical wallet full of different denominations of bills. If you’re buying a snack for $2.50 and only have a $5, you don’t hand the cashier half of your 5 dollar bill — you give him the 5 and receive some change instead.
Unknown to some, there is no hardcoded limit to the number of transactions that can fit in a block. Instead, each transaction has a certain size in megabytes and constitutes an economic incentive for miners to include it in their block. Because miners have limited space of 2 MB to sell to transactors, larger transactions (in size, not bitcoin!) will need to pay higher fees to be included. Additionally, each transaction can have a virtually unlimited number of inputs or outputs — the record stands at transactions with 20,000 inputs and 13,107 outputs.
So each transaction has at least one input and at one output, but often more, as well as some additional boilerplate stuff. Most of that space is taken up by the input (often 60% or more, because of the signature that proves they really belong to the sender), while the output(s) account for 15–30%. In order to keep transactions as small as possible and save fees, Bitcoin users have two major choices:
Use as few inputs as possible. In order to minimize inputs, you can periodically send your smaller UTXOs to yourself in times when fees are very low, getting one large UTXO back. That is called UTXO consolidation or consolidating your inputs.
Users who frequently make transfers (especially within the same block) can include an almost unlimited amount of outputs (to different people!) in the same transaction. That is called transaction batching. A typical single output transaction takes up 230 bytes, while a two output transaction only takes up 260 bytes, instead of 460 if you were to send them individually.
This is something that many casual commentators overlook when comparing Bitcoin with other payment systems — a Bitcoin transaction can aggregate thousands of individual economic transfers! It’s important to recognize this, as it is the source of a great deal of misunderstanding and mistaken analysis.
We’ve never encountered a common definition of a batched transaction — so for the purposes of this study we define it in the loosest possible sense: a transaction with three or more outputs. Commonly, batching is understood as an activity undertaken primarily by mining pools or exchanges who can trade off immediacy for efficiency. It is rare that a normal bitcoin user would have cause to batch, and indeed most wallets make it difficult to impossible to construct batched transactions. For everyday purposes, normal bitcoiners will likely not go to the additional effort of batching transactions.
We set the threshold at three for simplicity’s sake — a normal unbatched transaction will have one transactional output and one change output — but the typical major batched transaction from an exchange will have dozens if not hundreds of outputs. For this reason we are careful to provide data on various different batch sizes, so we could determine the prevalence of three-output transactions and colossal, 100-output ones.
We find it helpful to think of a Bitcoin transaction as a mail truck full of boxes. Each truck (transaction) contains boxes (outputs), each of contains some number of letters (satoshis). So when you’re looking at transaction count as a measure of the performance and economic throughput of the Bitcoin network, it’s a bit like counting mail trucks to discern how many letters are being sent on a given day, even though the number of letters can vary wildly. The truck analogy also makes it clear why many see Bitcoin as a settlement layer in the future — just as mail trucks aren’t dispatched until they’re full, some envision that the same will ultimately be the case for Bitcoin.

Batching
  1. A timeline
So what actually happened in the last six months? Let’s look at some data. Daily transactions on the Bitcoin network rose steadily until about May 2017, when average fees hit about $4. This precipitated the first collapse in usage. Then began a series of feedback loops over the next six months in which transaction load grew, fees grew to match, and transactions dropped off. This cycle repeated itself five times over the latter half of 2017.

more like this on coinmetrics.io
The solid red line in the above chart is fees in BTC terms (not USD) and the shaded red area is daily transaction count. You can see the cycle of transaction load precipitating higher fees which in turn cause a reduction in usage. It repeats itself five or six times before the detente in spring 2018. The most notable period was the December-January fee crisis, but fees were actually fairly typical in BTC terms — the rising BTC price in USD however meant that USD fees hit extreme figures.
In mid-November when fees hit double digits in USD terms, users began a concerted campaign to convince exchanges to be better stewards of block space. Both Segwit and batching were held up as meaningful approaches to maximize the compression of Bitcoin transactions into the finite block space available. Data on when exchanges began batching is sparse, but we collected information where it was available into a chart summarizing when exchanges began batching.

Batching adoption at selected exchanges
We’re ignoring Segwit adoption by exchanges in this analysis; as far as batching is concerned, the campaign to get exchanges to batch appears to have persuaded Bitfinex, Binance, and Shapeshift to batch. Coinbase/GDAX have stated their intention to begin batching, although they haven’t managed to integrate it yet. As far as we can tell, Gemini hasn’t mentioned batching, although we have some mixed evidence that they may have begun recently. If you know about the status of batching on Gemini or other major exchanges please get in touch.
So some exchanges have been batching all along, and some have never bothered at all. Did the subset of exchanges who flipped the switch materially affect the prevalence of batched transactions? Let’s find out.
  1. Analysis
3.1 How common is batching?
We measured the prevalence of batching in three different ways, by transaction count, by output value and by output count.

The tl;dr.
Batching accounts for roughly 12% of all transactions, 40% of all outputs, and 30–60% of all raw BTC output value. Not bad.
3.2 Have batched transactions become more common over time?
From the chart in 3.1, we can already see a small, but steady uptrend in all three metrics, but we want to dig a little deeper. So we first looked at the relationship of payments (all outputs that actually pay someone, so total outputs minus change outputs) and transactions.

More at transactionfee.info/charts
The first thing that becomes obvious is that the popular narrative — that the drop in transactions was caused by an increase in batching — is not the case; payments dropped by roughly the same proportion as well.
Dividing payment count by transaction count gives us some insight into the relationship between the two.

In our analysis we want to zoom into the time frame between November 2017 and today, and we can see that payments per transactions have actually been rallying, from 1.5 payments per transaction in early 2017 to almost two today.
3.3 What are popular batch sizes?
In this next part, we will look at batch sizes to see which are most popular. To determine which transactions were batched, we downloaded a dataset of all transactions on the Bitcoin network between November 2017 and May 2018from Blockchair.
We picked that period because the fee crisis really got started in mid-November, and with it, the demands for exchanges to batch. So we wanted to capture the effect of exchanges starting to batch. Naturally a bigger sample would have been more instructive, but we were constrained in our resources, so we began with the six month sample.
We grouped transactions into “batched” and “unbatched” groups with batched transactions being those with three or more outputs.

We then divided batched transactions into roughly equal groups on the basis of how much total output in BTC they had accounted for in the six-month period. We didn’t select the batch sizes manually — we picked batch sizes that would split the sample into equal parts on the basis of transaction value. Here’s what we ended up with:

All of the batch buckets have just about the same fraction of total BTC output over the period, but they account for radically different transaction and output counts over the period. Notice that there were only 183,108 “extra large” batches (with 41 or more outputs) in the six-month period, but between them there were 23m outputs and 30m BTC worth of value transmitted.
Note that output value in this context refers to the raw or unadjusted figure — it would have been prohibitively difficult for us to adjust output for change or mixers, so we’re using the “naive” estimate.
Let’s look at how many transactions various batch sizes accounted for in the sample period:


Batched transactions steadily increased relative to unbatched ones, although the biggest fraction is the small batch with between 3 and 5 outputs. The story for output counts is a bit more illuminating. Even though batched transactions are a relatively small fraction of overall transaction count, they contain a meaningful number of overall outputs. Let’s see how it breaks down:


Lastly, let’s look at output value. Here we see that batched transactions represent a significant fraction of value transmitted on Bitcoin.


As we can see, even though batched transactions make up an average of only 12% of all transactions, they move between 30%-60% of all Bitcoins, at peak times even 70%. We think this is quite remarkable. Keep in mind, however that the ‘total output’ figure has not been altered to account for change outputs, mixers, or self-churn; that is, it is the raw and unadjusted figure. The total output value is therefore not an ideal approximation of economic volume on the Bitcoin network.
3.4 Has transaction count become an unreliable measure of Bitcoin’s usage because of batching?
Yes. We strongly encourage any analysts, investors, journalists, and developers to look past mere transaction count from now on. The default measure of Bitcoin’s performance should be “payments per day” rather than transaction count. This also makes Bitcoin more comparable with other UTXO chains. They generally have significantly variable payments-per-transaction ratios, so just using payments standardizes that. (Stay tuned: Coinmetrics will be rolling out tools to facilitate this very soon.)
More generally, we think that the economic value transmitted on the network is its most fundamental characteristic. Both the naive and the adjusted figures deserve to be considered. Adjusting raw output value is still more art than science, and best practices are still being developed. Again, Coinmetrics is actively developing open-source tools to make these adjustments available.
  1. Conclusion
We started by revisiting the past year in Bitcoin and showed that while the mempool was congested, the community started looking for ways to use the blockspace more efficiently. Attention quickly fell on batching, the practice of combining multiple outputs into a single transaction, for heavy users. We showed how batching works on a technical level and when different exchanges started implementing the technique.
Today, around 12% of all transactions on the Bitcoin network are batched, and these account for about 40% of all outputs and between 30–60% of all transactional value. The fact such that a small set of transactions carries so much economic weight makes us hopeful that Bitcoin still has a lot of room to scale on the base layer, especially if usage trends continue.
Lastly, it’s worth noting that the increase in batching on the Bitcoin network may not be entirely due to deliberate action by exchanges, but rather a function of its recessionary behavior in the last few months. Since batching is generally done by large industrial players like exchanges, mixers, payment processors, and mining pools, and unbatched transactions are generally made by normal individuals, the batched/unbatched ratio is also a strong proxy for how much average users are using Bitcoin. Since the collapse in price, it is quite possible that individual usage of Bitcoin decreased while “industrial” usage remained strong. This is speculation, but one explanation for what happened.
Alternatively, the industrial players appear to be taking their role as stewards of the scarce block space more seriously. This is a significant boon to the network, and a nontrivial development in its history. If a culture of parsimony can be encouraged, Bitcoin will be able to compress more data into its block space and everyday users will continue to be able to run nodes for the foreseeable future. We view this as a very positive development. Members of the Bitcoin community that lobbied exchanges to add support for Segwit and batching should be proud of themselves.
  1. Bonus content: UTXO consolidation
Remember that we said that a second way to systematically save transaction fees in the Bitcoin network was to consolidate your UTXOs when fees were low? Looking at the relationship between input count and output count allows us to spot such consolidation phases quite well.

Typically, inputs and outputs move together. When the network is stressed, they decouple. If you look at the above chart carefully, you’ll notice that when transactions are elevated (and block space is at a premium), outputs outpace inputs — look at the gaps in May and December 2017. However, prolonged activity always results in fragmented UTXO sets and wallets full of dust, which need to be consolidated. For this, users often wait until pressure on the network has decreased and fees are lower. Thus, after transactions decrease, inputs become more common than outputs. You can see this clearly in February/March 2017.

Here we’ve taken the ratio of inputs to outputs (which have been smoothed on a trailing 7 day basis). When the ratio is higher, there are more inputs than outputs on that day, and vice versa. You can clearly see the spam attack in summer 2015 in which thousands (possibly millions) of outputs were created and then consolidated. Once the ratio spikes upwards, that’s consolidation. The spike in February 2018 after the six weeks of high fees in December 2017 was the most pronounced sigh of relief in Bitcoin’s history; the largest ever departure from the in/out ratio norm. There were a huge number of UTXOs to be consolidated.
It’s also interesting to note where inputs and outputs cluster. Here we have histograms of transactions with large numbers of inputs or outputs. Unsurprisingly, round numbers are common which shows that exchanges don’t publish a transaction every, say, two minutes, but instead wait for 100 or 200 outputs to queue up and then publish their transaction. Curiously, 200-input transactions were more popular than 100-input transactions in the period.


We ran into more curiosities when researching this piece, but we’ll leave those for another time.
Future work on batching might focus on:
Determining batched transactions as a portion of (adjusted) economic rather than raw volume
Looking at the behavior of specific exchanges with regards to batching
Investigating how much space and fees could be saved if major exchanges were batching transactions
Lastly, we encourage everyone to run their transactions through the service at transactionfee.info to assess the efficiency of their transactions and determine whether exchanges are being good stewards of the block space.
Update 31.05.2018
Antoine Le Calvez has created a series of live-updated charts to track batching and batch sizes, which you can find here.
We’d like to thank 0xB10C for their generous assistance with datasets and advice, the people at Blockchair for providing the core datasets, and David A. Harding for writing the initial piece and answering our questions.
submitted by miguelfranco1412 to 800cc [link] [comments]

Decred Journal – August 2018

Note: you can read this on GitHub (link), Medium (link) or old Reddit (link) to see all the links.

Development

dcrd: Version 1.3.0 RC1 (Release Candidate 1) is out! The main features of this release are significant performance improvements, including some that benefit SPV clients. Full release notes and downloads are on GitHub.
The default minimum transaction fee rate was reduced from 0.001 to 0.0001 DCkB. Do not try to send such small fee transactions just yet, until the majority of the network upgrades.
Release process was changed to use release branches and bump version on the master branch at the beginning of a release cycle. Discussed in this chat.
The codebase is ready for the new Go 1.11 version. Migration to vgo module system is complete and the 1.4.0 release will be built using modules. The list of versioned modules and a hierarchy diagram are available here.
The testnet was reset and bumped to version 3.
Comments are welcome for the proposal to implement smart fee estimation, which is important for Lightning Network.
@matheusd recorded a code review video for new Decred developers that explains how tickets are selected for voting.
dcrwallet: Version 1.3.0 RC1 features new SPV sync mode, new ticket buyer, new APIs for Decrediton and a host of bug fixes. On the dev side, dcrwallet also migrated to the new module system.
Decrediton: Version 1.3.0 RC1 adds the new SPV sync mode that syncs roughly 5x faster. The feature is off by default while it receives more testing from experienced users. Other notable changes include a design polish and experimental Politeia integration.
Politeia: Proposal editing is being developed and has a short demo. This will allow proposal owners to edit their proposal in response to community feedback before voting begins. The challenges associated with this feature relate to updating censorship tokens and maintaining a clear history of which version comments were made on. @fernandoabolafio produced this architecture diagram which may be of interest to developers.
@degeri joined to perform security testing of Politeia and found several issues.
dcrdata: mainnet explorer upgraded to v2.1 with several new features. For users: credit/debit tx filter on address page, showing miner fees on coinbase transaction page, estimate yearly ticket rewards on main page, cool new hamburger menu and keyboard navigation. For developers: new chain parameters page, experimental Insight API support, endpoints for coin supply and block rewards, testnet3 support. Lots of minor API changes and frontend tweaks, many bug fixes and robustness improvements.
The upcoming v3.0 entered beta and is deployed on beta.dcrdata.org. Check out the new charts page. Feedback and bug reports are appreciated. Finally, the development version v3.1.0-pre is on alpha.dcrdata.org.
Android: updated to be compatible with the latest SPV code and is syncing, several performance issues are worked on. Details were posted in chat. Alpha testing has started, to participate please join #dev and ask for the APK.
iOS: backend is mostly complete, as well as the front end. Support for devices with smaller screens was improved. What works now: creating and recovering wallets, listing of transactions, receiving DCR, displaying and scanning QR codes, browsing account information, SPV connection to peers, downloading headers. Some bugs need fixing before making testable builds.
Ticket splitting: v0.6.0 beta released with improved fee calculation and multiple bug fixes.
docs: introduced new Governance section that grouped some old articles as well as the new Politeia page.
@Richard-Red created a concept repository sandbox with policy documents, to illustrate the kind of policies that could be approved and amended by Politeia proposals.
decred.org: 8 contributors added and 4 removed, including 2 advisors (discussion here).
decredmarketcap.com is a brand new website that shows the most accurate DCR market data. Clean design, mobile friendly, no javascript required.
Dev activity stats for August: 239 active PRs, 219 commits, 25k added and 11k deleted lines spread across 8 repositories. Contributions came from 2-10 developers per repository. (chart)

Network

Hashrate: went from 54 to 76 PH/s, the low was 50 and the new all-time high is 100 PH/s. BeePool share rose to ~50% while F2Pool shrank to 30%, followed by coinmine.pl at 5% and Luxor at 3%.
Staking: 30-day average ticket price is 95.6 DCR (+3.0) as of Sep 3. During the month, ticket price fluctuated between a low of 92.2 and high of 100.5 DCR. Locked DCR represented between 3.8 and 3.9 million or 46.3-46.9% of the supply.
Nodes: there are 217 public listening and 281 normal nodes per dcred.eu. Version distribution: 2% at v1.4.0(pre) (dev builds), 5% on v1.3.0 (RC1), 62% on v1.2.0 (-5%), 22% on v1.1.2 (-2%), 6% on v1.1.0 (-1%). Almost 69% of nodes are v.1.2.0 and higher and support client filters. Data snapshot of Aug 31.

ASICs

Obelisk posted 3 email updates in August. DCR1 units are reportedly shipping with 1 TH/s hashrate and will be upgraded with firmware to 1.5 TH/s. Batch 1 customers will receive compensation for missed shipment dates, but only after Batch 5 ships. Batch 2-5 customers will be receiving the updated slim design.
Innosilicon announced the new D9+ DecredMaster: 2.8 TH/s at 1,230 W priced $1,499. Specified shipping date was Aug 10-15.
FFMiner DS19 claims 3.1 TH/s for Blake256R14 at 680 W and simultaneously 1.55 TH/s for Blake2B at 410 W, the price is $1,299. Shipping Aug 20-25.
Another newly noticed miner offer is this unit that does 46 TH/s at 2,150 W at the price of $4,720. It is shipping Nov 2018 and the stats look very close to Pangolin Whatsminer DCR (which has now a page on asicminervalue).

Integrations

www.d1pool.com joined the list of stakepools for a total of 16.
Australian CoinTree added DCR trading. The platform supports fiat, there are some limitations during the upgrade to a new system but also no fees in the "Early access mode". On a related note, CoinTree is working on a feature to pay household bills with cryptocurrencies it supports.
Three new OTC desks were added to exchanges page at decred.org.
Two mobile wallets integrated Decred:
Reminder: do your best to understand the security and privacy model before using any wallet software. Points to consider: who controls the seed, does the wallet talk to the nodes directly or via middlemen, is it open source or not?

Adoption

Merchants:

Marketing

Targeted advertising report for August was posted by @timhebel. Facebook appeal is pending, some Google and Twitter campaigns were paused and some updated. Read more here.
Contribution to the @decredproject Twitter account has evolved over the past few months. A #twitter_ops channel is being used on Matrix to collaboratively draft and execute project account tweets (including retweets). Anyone with an interest in contributing to the Twitter account can ask for an invitation to the channel and can start contributing content and ideas there for evaluation by the Twitter group. As a result, no minority or unilateral veto over tweets is possible. (from GitHub)

Events

Attended:
For those willing to help with the events:
BAB: Hey all, we are gearing up for conference season. I have a list of places we hope to attend but need to know who besides @joshuam and @Haon are willing to do public speaking, willing to work booths, or help out at them? You will need to be well versed on not just what is Decred, but the history of Decred etc... DM me if you are interested. (#event_planning)
The Decred project is looking for ambassadors. If you are looking for a fun cryptocurrency to get involved in send me a DM or come talk to me on Decred slack. (@marco_peereboom, longer version here)

Media

Decred Assembly episode 21 is available. @jy-p and lead dcrwallet developer @jrick discussed SPV from Satoshi's whitepaper, how it can be improved upon and what's coming in Decred.
Decred Assembly episodes 1-21 are available in audio only format here.
New instructional articles on stakey.club: Decrediton setup, Deleting the wallet, Installing Go, Installing dcrd, dcrd as a Linux service. Available in both English and Portuguese.
Decred scored #32 in the August issue of Chinese CCID ratings. The evaluation model was explained in this interview.
Satis Group rated Decred highly in their cryptoasset valuation research report (PDF). This was featured by several large media outlets, but some did not link to or omitted Decred entirely, citing low market cap.
Featured articles:
Articles:
Videos:

Community Discussions

Community stats:
Comm systems news:
After another debate about chat systems more people began testing and using Matrix, leading to some gardening on that platform:
Highlights:
Reddit: substantive discussion about Decred cons; ecosystem fund; a thread about voter engagement, Politeia UX and trolling; idea of a social media system for Decred by @michae2xl; how profitable is the Obelisk DCR1.
Chats: cross-chain trading via LN; plans for contractor management system, lower-level decision making and contractor privacy vs transparency for stakeholders; measuring dev activity; what if the network stalls, multiple implementations of Decred for more resilience, long term vision behind those extensive tests and accurate comments in the codebase; ideas for process for policy documents, hosting them in Pi and approving with ticket voting; about SPV wallet disk size, how compact filters work; odds of a wallet fetching a wrong block in SPV; new module system in Go; security of allowing Android app backups; why PoW algo change proposal must be specified in great detail; thoughts about NIPoPoWs and SPV; prerequisites for shipping SPV by default (continued); Decred vs Dash treasury and marketing expenses, spending other people's money; why Decred should not invade a country, DAO and nation states, entangling with nation state is poor resource allocation; how winning tickets are determined and attack vectors; Politeia proposal moderation, contractor clearance, the scale of proposals and decision delegation, initial Politeia vote to approve Politeia itself; chat systems, Matrix/Slack/Discord/RocketChat/Keybase (continued); overview of Korean exchanges; no breaking changes in vgo; why project fund burn rate must keep low; asymptotic behavior of Decred and other ccs, tail emission; count of full nodes and incentives to run them; Politeia proposal translations and multilingual environment.
An unusual event was the chat about double negatives and other oddities in languages in #trading.

Markets

DCR started the month at USD 56 / BTC 0.0073 and had a two week decline. On Aug 14 the whole market took a huge drop and briefly went below USD 200 billion. Bitcoin went below USD 6,000 and top 100 cryptos lost 5-30%. The lowest point coincided with Bitcoin dominance peak at 54.5%. On that day Decred dived -17% and reached the bottom of USD 32 / BTC 0.00537. Since then it went sideways in the USD 35-45 / BTC 0.0054-0.0064 range. Around Aug 24, Huobi showed DCR trading volume above USD 5M and this coincided with a minor recovery.
@ImacallyouJawdy posted some creative analysis based on ticket data.

Relevant External

StopAndDecrypt published an extensive article "ASIC Resistance is Nothing but a Blockchain Buzzword" that is much in line with Decred's stance on ASICs.
The ongoing debates about the possible Sia fork yet again demonstrate the importance of a robust dispute resolution mechanism. Also, we are lucky to have the treasury.
Mark B Lundeberg, who found a vulnerability in atomicswap earlier, published a concept of more private peer-to-peer atomic swaps. (missed in July issue)
Medium took a cautious stance on cryptocurrencies and triggered at least one project to migrate to Ghost (that same project previously migrated away from Slack).
Regulation: Vietnam bans mining equipment imports, China halts crypto events and tightens control of crypto chat groups.
Reddit was hacked by intercepting 2FA codes sent via SMS. The announcement explains the impact. Yet another data breach suggests to think twice before sharing any data with any company and shift to more secure authentication systems.
Intel and x86 dumpsterfire keeps burning brighter. Seek more secure hardware and operating systems for your coins.
Finally, unrelated to Decred but good for a laugh: yetanotherico.com.

About This Issue

This is the 5th issue of Decred Journal. It is mirrored on GitHub, Medium and Reddit. Past issues are available here.
Most information from third parties is relayed directly from source after a minimal sanity check. The authors of Decred Journal have no ability to verify all claims. Please beware of scams and do your own research.
Feedback is appreciated: please comment on Reddit, GitHub or #writers_room on Matrix or Slack.
Contributions are welcome too. Some areas are collecting content, pre-release review or translations to other languages. Check out @Richard-Red's guide how to contribute to Decred using GitHub without writing code.
Credits (Slack names, alphabetical order): bee, Haon, jazzah, Richard-Red and thedecreddigest.
submitted by jet_user to decred [link] [comments]

Waltonchain All-in-One - Extended

Welcome!

I would like to warmly welcome everyone to waltonchain
This is an updated, extended community-written post and I will try to update it regularly over time.
Please respect our rules (see sidebar) and feel free to comment, contribute and ask questions.
Don’t forget to subscribe to the subreddit for any news on Waltonchain!
 

Getting Started

What is Waltonchain?

The Waltonchain Foundation is building a cross-industry, cross-data sharing platform by integrating Blockchain with the Internet of Things through self-developed RFID Chips with intellectual property rights.
The in-house developed Waltonchain RFID chips integrate a proprietary, genuine random number generator and an asymmetric encryption logic and hardware signature circuit, all of which are patent-protected.
The combination of self-developed RFID chips and the Waltonchain blockchain will ultimately achieve the interconnection of all things and create a genuine, believable, traceable businessmodel with totally shared data and transparent information.
Waltonchain will unfold a new era of the Value Internet of Things (VIoT).
 
Waltonchain Introduction Video
Launch of Waltonchain
 

The Project

The Waltonchain team has formulated a 4-phase development plan, starting from infrastructure platform establishment to gradually incorporating retail, logistics and product manufacturing, and to finally achieving the full coverage of the business ecosystem.
 
As for the phase 1.0 of the project, the team has developed the clothing system integration scheme based on RFID. The application scenarios at phase 1.0 will establish Golden demonstration template
At phase 2.0, our RFID beacon chip will be massproduced and can be used in clothing, B2C retail and logistics.
At phase 3.0, manufacturers will achieve traceable customization of intelligent packaging.
At the project phase 4.0, with the upgrading and iteration of assets information collection hardware and improvement of blockchain data structure, all assets can be registered in Waltonchain in the future.
 
Original Roadmap Thread

Project-Updates:

Video: WTC-Garment System by Waltonchain & Kaltendin
Video: WTC-Food System by Waltonchain
 

Official Resources

Waltonchain Whitepaper
Waltonchain Official Website
Waltonchain Github
 
Official Official Medium
Official Slack
Official Instagram
Official Facebook
Official Twitter @waltonchain
Official Telegram @waltonchain_en
 
Dedicated community Telegram channel for Waltonchain miners, MN & GMN holders.
@WaltonchainMining
 
 
Chinese Community
本群为沃尔顿链华文官方社群
Chinese Telegram @waltonchain_cn
官方网站 - Waltonchain China - Website
 
Korean Community
공식사이트 - Waltonchain Korea - Website
카카오톡 - Waltonchain Korea - Kakao
트위터 - Waltonchain Korea - Twitter
블로그 - Waltonchain Korea - Naver Blog
인스타그램 - Waltonchain Korea - Instagram
Freyr 공식텔레그램방(한국) - Freyrchain Korea - Telegram
Communities in Progress
Russian Twitter @waltonchain_ru
Russian Website
Japanese Twitter @waltonchain_jp
Japanese Website
Brazilian Twitter @waltonchain_br
 

Waltonchain Wallet

Please note that before the token swap,
DO NOT transfer your ERC20 WTC tokens to the WTC wallet!!
 
Wallet for PC (Github)
Web Wallet - Instruction Manual
Windows Wallet - User Manual
Windows Wallet - Tutorial Video
Wallet for Android
Google Playstore
Github
Android User Manual
Android Wallet - Tutorial Video
 
Wallet for IOS
(pending Apple Store approval)
 
Explorer
Waltonchain Explorer
Waltonchain Blockchain Explorer User Manual
 
Mining
Waltonchain GPU Mining User Manual
Waltonchain Progressive Mining Reward Program
 
Unofficial
Unofficial Guardian Masternode Tracker
waltonchain.tech - Unofficial collection of news and useful resources

The Foundation

>> Waltonchain Organizational Chart <<<--
 
Waltonchain Foundation Ltd. (Singapore) - 沃尔顿链
Waltonchain (HK) Development Co. Ltd. (Head company)
Walton Chain Technology Co. Ltd. (Korea)
Silicon (Shenzhen) Electronic Technology Co. Ltd.
Silicon (Xiamen) Electronic Technology Co.Ltd. (RFID Chip Research)
Silicon (Quanzhou) Electronic Technology Co. Ltd.(IoT Intelligent Switch Chip)
Nanjing Sleewa Information Technology Co. Ltd. (Blockchain)
Quanzhou KEDIHENG Electronic Technology Co. Ltd
Xiamen IOT Technology Co. Ltd.
Xiamen Citylink Technology Co.Ltd.
Xiamen ZhongChuan IOT Industry Research Institute Co.Ltd.
 

The Team

Founder:

Do Sanghyuk (都相爀) – Initiator in Korea
Korean, Vice Chairman of the China - Korea Cultural Exchange Development Committee, Director of the Korea Standard Products Association, Chairman of Seongnam Branch of the Korea Small and Medium Enterprises Committee, Chairman of Korea NC Technology Co., Ltd., Senior Reporter of IT TODAY News, Senior Reporter of NEWS PAPER Economic Department, Director of ET NEWS.
 
Xu Fangcheng (许芳呈) – Initiator in China
Chinese, majored in Business Management, former Director for Supply Chain Management of Septwolves Group Ltd., has rich practical experience in supply chain management and purchasing process management. Currently, he is the Director of Shenzhen Silicon, the Director of Xiamen Silicon and the Board Chairman of Quanzhou Silicon. He is also one of our Angel investors.
 

Senior Experts:

Kim Suk ki (金锡基)
Korean, South Koreas electronics industry leader, Doctor of Engineering (graduated from the University of Minnesota), Professor of Korea University, previously worked at Bell Labs and Honeywell USA, served as vice president of Samsung Electronics, senior expert in integrated circuit design field, IEEE Senior Member, Vice President of the Korea Institute of Electrical Engineers, Chairman of the Korea Semiconductor Industry Association. Has published more than 250 academic papers with more than 60 patents.
 
Zhu Yanping (朱延平)
Taiwanese, China, Doctor of Engineering (graduated from National Cheng Kung University), Chairman of the Taiwan Cloud Services Association, Director of Information Management Department of National Chung Hsing University. Has won the Youth Invention Award by Taiwan Ministry of Education and Taiwan Top Ten Information Talent Award. Has deeply studied blockchain applications over the years and led a block chain technology team to develop systems for health big data and agricultural traceability projects.
 

Chief Experts

Mo Bing (莫冰)
Chinese, Doctor of Engineering (graduated from Harbin Institute of Technology), Research Professor of Korea University, Distinguished Fellow of Sun Yat - sen University, Internet of Things expert, integrated circuit expert, Senior Member of Chinese Society of Micro-Nano Technology, IEEE Member. Has published more than 20 papers and applied for 18 invention patents. Began his research of BitCoin in 2013, one of the earliest users of btc 38.com and Korea korbit. Served as Technical Director of Korea University to cooperate with Samsung Group to complete the project Multi sensor data interaction and fusion based on peer to peer network. Committed to the integration of block chain technology and Internet of Things to create a real commercialized public chain.
 
Wei Songjie (魏松杰)
Chinese, Doctor of Engineering (graduated from the University of Delaware), Associate Professor of Nanjing University of Science and Technology, Core Member and Master Supervisor of Network Space Security Engineering Research Institute, Block Chain Technology expert in the field of computer network protocol and application, network and information security. Has published more than 20 papers and applied for 7 invention patents. Previously worked at Google, Qualcomm, Bloomberg and many other high-tech companies in the United States, served as R D engineer and technical expert; has a wealth of experience in computer system design, product development and project management.
 

Core Members

Shan Liang (单良)
Graduated from KOREATECH (Korea University of Technology and Education) Mechanical Engineering Department, Venture Capital PhD, GM of Waltonchain Technology Co., Ltd. (Korea), Director of Korea Sungkyun Technology Co., Ltd., Chinese Market Manager of the heating component manufacturer NHTECH, a subsidiary of Samsung SDI, economic group leader of the Friendship Association of Chinese Doctoral Students in Korea, one of the earliest users of Korbit, senior digital money player.
 
Chen Zhangrong (陈樟荣)
Chinese, graduated in Business Management, received a BBA degree in Armstrong University in the United States, President of TIANYU INTERNATIONAL GROUP LIMITED, leader of Chinese clothing accessories industry, Chinas well-known business mentor, guest of the CCTV2 Win in China show in 2008. Researcher in the field of thinking training for Practical Business Intelligence e-commerce and MONEYYOU course, expert on success for Profit Model course. Began to contact Bitcoin in 2013 with a strong interest and in-depth study of digital money and decentralized management thinking. Has a wealth of practical experience in the business management, market research, channel construction, business cooperation and business model.
 
Lin Herui (林和瑞)
Chinese, Dean of Xiamen Zhongchuan Internet of Things Industry Research Institute, Chairman of Xiamen Citylink Technology Co., Ltd., Chairman of Xiamen IOT. He successively served as Nokia RD Manager and Product Manager, Microsoft Hardware Department Supply Chain Director. In 2014, started to set up a number of IoT enterprises and laid out the industrial chain of the Internet of Things. The products and services developed under his guidance are very popular. Assisted the government in carrying out industrial and policy research and participated in planning of multiple government projects of smart cities, IoT towns and project reviews.
 
Ma Xingyi (马兴毅)
Chinese, China Scholarship Council (CSC) special student, Doctor of Engineering of Korea University, Research Professor of Fusion Chemical Systems Institute of Korea University, Korea Sungkyun Technology Co., Ltd. CEO, Member of Korea Industry Association, Associate Member of the Royal Society of Chemistry, has published his research results in the worlds top journal Nature Communications and participated in the preparation of a series of teaching materials for Internet of Things engineering titled Introduction to the Internet of Things. His current research direction covers cross-disciplines that combine blockchain technology with intelligent medical technology.
 
Zhao Haiming (赵海明)
Chinese, Doctor of Chemical Conductive Polymer of Sungkyunkwan University, core member of Korea BK21th conductive polymer project, researcher of Korea Gyeonggi Institute of Sensor, researcher of Korea ECO NCTech Co., Ltd., Vice President of the Chinese Chamber of Commerce, Director of Korea Sungkyun Technology Co., Ltd. He has been engaged in transfer of semiconductor, sensor and other technologies in South Korea. He is an early participant of the digital currency market.
 
Liu Cai (刘才)
Chinese, Master of Engineering, has 12 years of experience in design and verification of VLSI and a wealth of practical project experience in RFID chip design process, SOC chip architecture, digital-analog hybrid circuit design, including algorithm design, RTL design, simulation verification, FPGA prototype verification, DC synthesis, backend PR, package testing, etc. Has led a team to complete the development of a variety of navigation and positioning baseband chips and communication baseband chips, finished a series of AES, DES and other encryption module designs, won the first prize of GNSS and LBS Association of China for scientific and technological progress. Finally, he is an expert in the consensus mechanism principle of blockchain and the related asymmetric encryption algorithm.
 
Yang Feng (杨锋)
Chinese, Master of Engineering, worked at ZTE. Artificial intelligence expert, integrated circuit expert. Has 12 years of experience in VLSI research and development, architecture design and verification and 5 years of research experience in artificial intelligence and the genetic algorithm. Has won the Shenzhen Science and Technology Innovation Award. Has done an in-depth research on the principle and realization of the RFID technology, the underlying infrastructure of blockchain, smart contracts and the consensus mechanism algorithm.
 
Guo Jianping (郭建平)
Chinese, Doctor of Engineering (graduated from the Chinese University of Hong Kong), Associate Professor of the Hundred Talents Program of Sun Yat-sen University, academic advisor of masters degree students, IEEE senior member, integrated circuit expert. Has published more than 40 international journal conference papers in the field of IC design and applied for 16 patents in China.
 
Huang Ruimin (黄锐敏)
Chinese, Doctor of Engineering (graduated from the University of Freiburg, Germany), academic advisor of masters degree students, lecturer of the Department of Electronics of Huaqiao University, integrated circuit expert. Mainly explores digital signal processing circuit and system implementation and works on digital signal processing technology long-term research and development.
 
Guo Rongxin (郭荣新)
Chinese, Master of Engineering, Deputy Director of the Communication Technology Research Center of Huaqiao University. Has more than 10 years of experience in design and development of hardware and software for embedded systems, works on the long-term research and development of RFID and blockchain technology in the field of Internet of Things.
 
Dai Minhua (戴闽华)
Chinese, graduated in Business Management, received a BBA degree from Armstrong University, senior financial expert, served as Vice President and CFO of Tanyu International Group Co., Ltd. Has 13 years of financial work experience, has a wealth of experience in developing and implementing enterprise strategy and business plans, as well as achieving business management objectives and development goals.
 
Liu Dongxin (刘东欣)
Chinese, received an MBA from China Europe International Business School, Visiting Scholar of Kellogg School of Management at Northwestern University, strategic management consulting expert, investment and financing expert. His current research interest lies in the impact of the blockchain technology on the financial sector.
 

Angel Investors

Song Guoping (宋国平)
Qiu Jun (邱俊)
Yan Xiaoqian (严小铅)
Lin Jingwei (林敬伟)
He Honglian (何红连)

Advisory Team

Ko Sang Tae (高尚台)
Liu Xiaowei (刘晓为)
Su Yan (苏岩)
Zhang Yan (张岩)
Ma Pingping (马萍萍)
Peng Xiande (彭先德)
Fu Ke (傅克)
Xiao Guangjian (肖光坚)
Li Xiong (李雄)
 
The Team (pt.I)
The Team - The Engineers (pt. II)
The Team - Angel Investors & Advisors (pt. III)
WaltonChain Office Tour
Meet the team #1: Xu Fangcheng
Meet the team #2: South Korean Team
Meet the team #3: Wei Songjie
Meet the team #4: Suk Ki Kim
Meet the team #5: Lin Herui
Meet the team #6: Bing Mok (CEO)
 

Partnerships, Affiliations & Corporate Interests

Government Affiliations
Fujian IoT Industry Association
Air purification and smart monitoring project with Jinhu Provincial Government
"Smart Oceans" blockchain R&D project with Fujian Provincial Government
Building "Blockchain Silicon Valley" with Taiwan Cloud and Fujian Provincial Government
KISA and Korean IoT research centre
Taiwan Cloud Association
Korea University engineering department
Korea Blockchain Enterprise Promotion Association (authorized by South Korean National Assembly)
 
Smart Logistics / Smart Warehouse
Xiangyu Group
Fuyao Glass Industry Group co., Ltd
Kehua
Lipson Plastic
NanKang City Furniture industry
Direct delivery
Fujian Soonbox Logistics Park
Huodull Technology
 
Smart Retail
Guangdong Original Clothing Trading Center
Shenzhen M&A Association of Listed Companies
Septwolves
Fuguiniao
SMEN
TANYU
JoeOne
Lalabobo
Ishijah
Kaltendin
 
Technical Alliance
Alibaba Cloud
China Mobile IoT Alliance
Xiamen Branch of China Telecom Corporation Limited
Zhangzhou Branch of** China Telecom** Corporation Limited
NC Technologies
Shenzhen Card Cube Smart Technology co., Ltd
NIDS Sensor Technology
Sungkyun Technologies
NH Tech
Jiangsu Zhongke Internet of Things Technology Venture Capital Co., Ltd.
Fujian C-TOP Electronics co., Ltd.
 
Finance
Sinolink Securites
Gingko Capital (Investment Arm of Waltonchain) -> Investments
Gingko Investment List on Reddit
 
Blockchain Partner
Mobius
Freyrchain
Loci
Coinlink
SwftCoin
Morganchain
Aston
 
Media Partner
JU&KE Creative Design
Yunnan Yunshanghuaxia Trading co., Ltd.
ArtCrypto
Fanfangxiang Culture & Media co., Ltd.
 
Waltonchain Government Affiliations Infographic
Waltonchain Business Affiliations Infographic
Summary of Some of Waltonchain's Government and Business Partnerships
 
Child Chains
Freyrchain - Freyrchain - The world’s first blockchain-based collectibles data authenticity platform
Fashionchain Fashionchain - Fashionchain restructures the strongly-centralized pyramid structure inherent in the fashion industry ecology into a decentralized structure in which all parties connect point to point directly.
 
Click here for the News, PR & Awards Thread.
Click here for a Timeline of Official - Waltonchain-Medium - Posts.
 
Videos
Waltonchain Annual Meeting Presentation Video
Waltonchain Introduction Video
Waltonchain Visit and Product Demo! (Part 1 of 2) - Boxmining
Waltonchain Interview and Demo (Part 2 of 2) - Boxmining
Waltonchain Coinnest Meetup with Mo Bing
Dr. Mo Bing's First Live Interview with Coinnest CEO
Waltonchain CEO Mo Bing announcing the official launch of Waltonchain Mainnet
List of AMAs
First Reddit AMA - October 1, 2017
Technical AMA - October 9, 2017
Hardware AMA Summary - October 17,2017
Extended Hardware AMA - October 24, 2017
Retail Demo AMA - November 27, 2017
Masternode AMA - December 7, 2017
Slack AMA Live Thread - January 3, 2018
Waltonchain Beta Release AMA Part 1 - January 5, 2018
Waltonchain Beta Release AMA Part 2 - January 15, 2018
Waltonchain February Q&A - February 18, 2018
Waltonchain March AMA Part 1 - March 19, 2018
Waltonchain March AMA Part 2 - March 27, 2018
Progress Reports
Waltonchain Work Progress in Q2 2018
Waltonchain Work Progress in Q1 2018
Waltonchain: New Logo · New IC strategy ·New Journey!
The Summary of Waltonchain in 2017
Waltonchain Project Progress Report (Nov. – Dec. 2017)
Professor Kim Suk Ki Arrived at Xiamen for Project Review and to Provide Guidance
A letter to the waltonchain family
A Letter from Waltonchain Foundation
Waltonchain Alpha Version Internal Testing
Noteworthy Posts
Waltonchain’s Bigger Picture: OBOR
Waltonchain: Ushering an Era of IoT Mass Market Adoption
What is Waltonchain and Why Should We Care?
Waltonchain and the Chinese Government: Cooperation, Collaboration and a Bright Future
Top 5 Cryptocurrencies Set For Success In 2018 - Invest in Blockchain
 
Exchanges
Binance, Coinnest, HitBTC, LATOKEN, OKEx, Kucoin, COSS, Coinlink, Allcoin, Coinrail, Cobinhood, Huobi
 

Frequently Asked Questions

 
 
Walton Knights
u/fent11
u/NetworkTraveler
u/yayowam
u/Crypto_RALLY
u/TheSideQuest
RikkiTikki (slack)
Crypto Buff (telegram)
submitted by istaan69 to waltonchain [link] [comments]

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