Decentralized Machine Learning DML

$0.001146 (+5.48%)

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0.00000011 BTC (+10%)

0.00000517 ETH (+8.16%)

1h +1.32 %

24h +5.48%

Week +6.12%

Month -55.07%

Year -92.65%

+10%

-52.17%

-94.69%

+2.58%

+8.16%

+9.07%

-37.13%

-87.5%

It will be a blockchain-based decentralized machine learning protocol.

Decentralized Machine Learning [DML] is a token based on Ethereum blockchain. The most actual price for one Decentralized Machine Learning [DML] is $0.001146. Decentralized Machine Learning is listed on 3 Exchanges with a sum of 3 active markets. The 24h volume of [DML] is $3 130.80, while the Decentralized Machine Learning market cap is $72 214.00 which ranks it as #1034 of all cryptocurrencies. You can find more information about Decentralized Machine Learning [DML] on decentralizedml.com

Blockchain Service (168)
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Website: decentralizedml.com

Explorer: etherscan.io ethplorer.io

Discussion: Telegram [1], Telegram [2]

Social (followers): Medium , Facebook , Reddit (150)

DML to USD calculator

DML

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Youtube:	link

Buy Decentralized Machine LearningThe most liquid on Hotbit

Wallet for Decentralized Machine Learning: Download

Market Cap Rank 1034

All Time High

$72 214.00 6 BTC

$0.241260 09 May 2018 % to ATH (20 957.68%)

Circulating Supply

Volume (24h) Rank 1240

63 030 141 Total: 272 937 007

$3 130.80 0.300589 BTC

Vol / M Cap (24h)

Beta

4.34%

-1.73

Decentralized Machine Learning details

Whitepaper	Download

Development status	Alpha version
Org. Structure	Centralized
Open Source	No
Proof Type	Not mineable
Algorithm	None
Platform	Ethereum
Hardware wallet	Yes

Decentralized Machine Learning Price Chart Live

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ICO review

ICO started	16 Apr 2018
ICO ended	22 Apr 2018 about 1 year ago

Received Value	$2 200 000 12%

Total tokens	330000000
Available for Token Sale	36%
ICO Token Price	1 DML = 0.17 USD (0.00026455 ETH)

Events

Decentralized Machine Learning Past Events

Date	Event description
03 January 2019 7 months ago	Hotbit Listing

Decentralized Machine Learning Upcoming Events

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Decentralized Machine Learning Team

Name	Position	LinkedIn	Twitter	GitHub	Medium	Other
Victor Cheung	Blockchain Developer	-	-	-	-	-
Michael Kwok	Project Lead	-	-	-	-	-
Jacky Chan	Software Development	-	-	-	-	-
Wilson Lau	Machine Learning Engineer	-	-	-	-	-
Pascal Lejolif	Machine Learning Advisor	-	-	-	-	-

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Events
Decentralized Machine Learning Past Events
Date Event description
03 January 2019 7 months ago Hotbit Listing
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Decentralized Machine Learning Upcoming Events
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80
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Exchanges (3) / Markets

Decentralized Machine Learning Exchanges

#	Source	Volume (24h)	FIATs
1	Hotbit	94.71%	USD
2	IDEX	4.58%	-
3	DDEX	0.70%	-

#	Source

Decentralized Machine Learning Markets

By Volume

#	Exchange	Pair	Volume (24h)	Price	Volume (%)	Category	Fee Type	Updated
1	Hotbit	DML/ETH	$2 903.37	$0.001026	94.71%	Spot	Percentage	1 minute ago
2	IDEX	DML/ETH	$140.49	$0.000695	4.58%	Spot	Percentage	1 minute ago
3	DDEX	DML/WETH	$21.60	$0.019829	0.70%	Spot	Percentage	1 minute ago

#	Exchange

No items matched that search criteria

* Price / Volume Excluded - Outlier detected

** Volume Excluded - markets with no fees and transaction mining

*** Volume Excluded - no fresh data from exchange API

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Decentralized Machine Learning Tags:

Blockchain Service (168)

#	Name	MarketCap	Price	Volume (24h)	Circulating Supply	7d chart
121	OrbsORBS	$42 422 474	$0.023120	$669 247	1 834 882 928	-6.47 %
126	FantomFTM	$38 937 853	$0.021469	$5 334 977	1 813 658 595	3.48 %
411	TEMCOTEMCO	$6 445 645	$0.002579	$384 398	2 499 765 662	0.27 %
497	OmnitudeECOM	$4 553 046	$0.070249	$32 994.76	64 813 301	23.66 %
670	KlerosPNK	$1 843 631	$0.008175	$24 963.99	225 532 301	-6.6 %
695	Vodi XVDX	$1 684 067	$0.005861	$140 273	287 328 178	28.35 %
701	CardstackCARD	$1 626 411	$0.000685	$87 749.41	2 373 041 566	-10.6 %
727	Open PlatformOPEN	$1 393 930	$0.001939	$15 824.84	718 950 534	-17.23 %
914	GoNetworkGOT	$435 553	$0.007026	$61 285.88	61 994 620	-21.58 %
994	EvedoEVED	$156 248	$0.025141	$23 129.66	6 214 771	9.42 %
1789	DREPDREP	$0	$0.003714	$1 941 155	0	-6.1 %
1918	MSDMSD	$0	$0.006306	$74 313.18	0	-21.1 %

Users/Transfers

Token address

Decentralized Machine Learning token address:	0xbcdfe338d55c061c084d81fd793ded00a27f226d

Decentralized Machine Learning token address:
0xbcdfe338d55c061c084d81fd793ded00a27f226d

Wealth Distribution

Top Addresses	Value	Percentage
Top 10	228 945 937 DML	83.88%
Top 100	253 708 835 DML	92.96%
Top 1000	269 186 967 DML	98.63%
All	272 937 007 DML	100.00%

The Biggest Holders

#	Wallet	%
1	0xab376b3ec2ed446444911e549c7c953fb086070f	17.34%
2	0x2d8c705a66b2e87a9249380d4cdfe9d80bbf826b	14.95%
3	0x68500ffefb57d88a600e2f1c63bb5866e7107b6b	12.53%
4	0xc7b6dff52014e59cb88fac3b371fa955d0a9249f	12.33%
5	0x49c0d93d1d347c496fc4c7678795afb3840ef237	9.50%
6	0xcb52583d19fd42c0f85a0c83a45dea6c73b9ebfb	7.25%
7	0x138c43e07807a9ed20d10f8a14a4d20579766b7a	4.50%
8	0xa17f2df7788d01eb8bb4cae5ec21f9e4a7c13b03	3.00%
9	0x2a0c0dbecc7e4d658f48e01e3fa353f44050c208	1.33%
10	0x544d3957b6cb4a58dc1f5fc86d9aefd1108955bd	1.15%
11	0xc853b3d0a51dade1335a51ee92e4a5c2529ecc05	1.05%
12	0x274f3c32c90517975e29dfc209a23f315c1e5fc7	0.63%
13	0x1e9438299751917aa5eb0808a285127d5a1b9d4a	0.50%
14	0x8533a0bd9310eb63e7cc8e1116c18a3d67b1976a	0.38%
15	0x333f738597fe25d0d395a8045318145b70c32027	0.33%
16	0xb9ee572c5e547771eedea5c9e91c7bc590add383	0.30%
17	0xd1e3f5e4cb07e89fd92005630fc41abb8c02b708	0.28%
18	0x330136ff245a4798e1776448e724ffc2f426d1a6	0.25%
19	0x3541f9dd7bddca6a328a0e550772e821dbcbf327	0.25%
20	0xe0da8ed5b7b775b5fdf285131646fe2f54ef0005	0.20%
21	0x382940f956c5fef3fea448944fbb44778cccdaa1	0.18%
22	0x529af767c5e9b4cdaed304c94c7298b0d8d8bdd8	0.18%
23	0xb70404312962f2120fb338bcbc24457f319b07e9	0.17%
24	0x96c51c5070df65ee28e7379ba5b1b7f22206f189	0.17%
25	0xf21749506cdc7c684b096ba172c99a8878a816fb	0.12%
26	0x92ec28dd8426733d21d8e3fe40cac6a5098b3caf	0.12%
27	0xaf778b52acccb762ae990cb414dce61ee86bc4b7	0.11%
28	0xf9fd7dc5f5bc808385c079136c6ba4090052f7b8	0.11%
29	0x9f1c3a21fdc56247b5604c2e6984d3192883ae4c	0.11%
30	0xae0f83626d62b273ea2463eb49503c68e7767300	0.10%
31	0x86254e3e0bf303fe5b5922e4b31b30cd335f833e	0.10%
32	0x62726af6e82739411421d1220fc74f3b2ed30c71	0.10%
33	0x95a8637ad1448827cc553190045131ceef1efb81	0.09%
34	0xd86192a4d9bf590042095fb112ae3520633f644b	0.09%
35	0x1992070919b35b934d1a61cbfa2543cc25a86104	0.09%
36	0xdc158e0343b0870a7f0c59912f2aa0d181c8e82c	0.09%
37	0x356141e2b21a5a1527ee28a8a782efc0fb32d450	0.08%
38	0x7b3882941096a5c41df8fdc94379aa4e4a1a3688	0.08%
39	0x572865859dc28d19c94b0c461c92256e33019999	0.08%
40	0x246acd31950b8bc018516d0f7b22c9a1b52de99f	0.07%
41	0x6ec95018056ee917ea87d3d2b34ad2348b111195	0.07%
42	0x737647358494a853265befee8fc697d600234c1e	0.07%
43	0x4931168a5c058374173fb909c274867d2205d3ca	0.07%
44	0x47ad71beed8ed1042b7b16a876d909e66512f89c	0.07%
45	0x53cfc5cfb9acc200912eaeebf2fcc6f7e1d51968	0.07%
46	0xee46231b2b579f101a27a75d7e1b901564917e65	0.07%
47	0x5cc054389747a6b32f2016db8d48da8729e53f07	0.06%
48	0x6c08368f8467402dc0a241b4a51629da6a74c5e8	0.06%
49	0xfb1d87f1d5f91a237a6aab0a94c9686696907d34	0.06%
50	0xb556465cd53c8515116b9c75ca6cff7fc9e87181	0.06%
51	0x60137d61ab1412dd5cd61098a49524841f44b3cb	0.05%
52	0x817b0182d2ea50946d53562c63eefb0a7911a7b7	0.05%
53	0xa6346181e41c42435e5c624856c41dcd07b139d6	0.05%
54	0x4d995ab2349bc49a0924d23b384b7257a21570fe	0.05%
55	0x8cd9f9c08c6a3f891bc570f1d6a3dc91c1f62bb0	0.05%
56	0xbc3f584935f54d2af96074cba64254ddaa785b04	0.05%
57	0xad6d126000936f88ebdcca9775512fb185c77b1a	0.05%
58	0x59c25914c72322661bda31393dcd156e28a34ee6	0.05%
59	0x7765663f75ee9bf44c208e72102046fbb61a99a3	0.05%
60	0x8047969979d614e8ef567d5540bb41c07380180e	0.05%
61	0xaedeb7be45d2a977a55dcc0b5dd3d560703b3ff1	0.05%
62	0x4a84993e6aef08f1e55f797d5c9fd250cb45461e	0.05%
63	0x2439573fb48e5c627731b2b6f00a43262af09717	0.05%
64	0x84e326eaa0ca2bcaa995f66071a289eedcd9698a	0.04%
65	0x00138888221a216e5c865986a6e421ef6def30ea	0.04%
66	0xf059ce169a24b996941c25ef523f0e5b91871b0a	0.04%
67	0xf7d693d18d8c3b642fa211665261082d4a0d5b8f	0.04%
68	0x7ce97c0aa107506e05f9baeb5a2e91175f093ee5	0.04%
69	0x9715b7ec05bbb5483eb921afb3e228b801651731	0.04%
70	0x7f12878506ceba3dd50f5640ba1065dfa8c2f9b2	0.04%
71	0xd7c3852ede0226247430dbbd644ac2efc0664cf2	0.04%
72	0xb3aed65480ec4fe448a87a5c195a98263a86900f	0.04%
73	0x801ea3d25f8bed43e8fb9cd6c56af672e89dabf8	0.04%
74	0xa53735f93abf872c78452f44ae61cb3fc1e9e9b7	0.04%
75	0x39deee10eb303a3a5c897e802a278590cb236c24	0.04%
76	0xddeb381222b9b8c1783ffc980404c17346a8d8ed	0.04%
77	0xd85a4b28302b6f9cd0af9b3f9086b544812a878c	0.04%
78	0x076739de679fbac82fe5efcbc1a5af9545b66439	0.04%
79	0xfb27318b61a8d800024726e92a1fba16b138e5ab	0.04%
80	0xe4cf72eb3877ddc815371c24fd3c92c3fd408a06	0.04%
81	0x0424e64b9410880dc2376ef502e265a2d096c61d	0.04%
82	0x7ddda933a973507f7fac34510ba24e1dd1791d07	0.03%
83	0x218f0345af3eadaf9a911255d7bc3920ef31bf28	0.03%
84	0xef6a0644b746d95bc55cb1063f402ca35f61309d	0.03%
85	0x2aa98e09d39a19ad08c0cfa9ca1e69572e60392e	0.03%
86	0x31681265b5efdfb95bea2dd8aba28b0032282d81	0.03%
87	0xe606deb733c4e11882046399515f93069c73c45f	0.03%
88	0x78189b3232c700934f8061dd654eac5fed88caa1	0.03%
89	0xe8b583427415632a2f918cebd82c24d7810d264a	0.03%
90	0xe7b8eca19396047d91e3918542f31c9b893e5346	0.03%
91	0x6a7ca41fdd98e00207d2724d03e2bf72b5640bd1	0.03%
92	0x5943bd2ced3e2d52de5ebb0fd747a40af688cf5f	0.03%
93	0x3c79a5d49057c2def6b61c11a1519e757afc34a3	0.03%
94	0x3b2be8ff8f9001d7871e5bbc5f58c35079f7e363	0.03%
95	0x4fc03dc8fae4b3fc4a57e54937261e288f6c0f90	0.03%
96	0xaa2984c04f16d9ce881fec5fad0245c2e3f3b5f7	0.03%
97	0xa106379acb22df279f1ac3c0299742531b3ba6ee	0.03%
98	0xea05e9c0de8dddcb8a1a3052380be7fc8456e876	0.03%
99	0xa1b27d18351652efe9202c8be6d585ef339f4d69	0.03%
100	0xccf31a4f407dd90accd96ffc15cf2acf63974091	0.03%

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Users and Transfers daily

Daily Active Users (30 Days)

Daily Transfers (30 Days)

Daily Transfers Value (30 Days)

What is Market depth?
Market depth is a metric, which is showing the real liquidity of the markets. Due to rampant wash-trading and fake activity - volume currently isn't the most reliable indicator in the crypto space.

What is it measuring?
It's measuring 1% or 10% section of the order book from the midpoint price (1%/10% of the buy orders, and 1%/10% of the sell orders).
Why it is important to use only 1% or 10%?
It's important, because measurement of the whole order book is going to give false results due to extreme values, which can make false illusion of liquidity for a given market.

What is showing Historical Market Depth?
Historical Market Depth is showing the history of liquidity from the markets for a given asset. It’s a measure of combined liquidity from all integrated markets on the coinpaprika’s market depth module.

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Decentralized Machine Learning DML

Tags are important

Decentralized Machine Learning details

Decentralized Machine Learning Price Chart Live

ICO review

Events

Decentralized Machine Learning Past Events

Decentralized Machine Learning Upcoming Events

Decentralized Machine Learning Team

r/Decentralized Machine Learning

Decentralized Machine Learning Whitepapers

Events

Decentralized Machine Learning Past Events

Decentralized Machine Learning Upcoming Events

Exchanges (3) / Markets

Decentralized Machine Learning Exchanges

Decentralized Machine Learning Markets

Similar Coins

Similar to Decentralized Machine Learning

Users/Transfers

Token address

Wealth Distribution

The Biggest Holders

Users and Transfers daily