Decentralized Machine Learning DML

$0.001208 (-0.53%)

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0.00000012 BTC (+0%)

0.00000558 ETH (+0.18%)

1h +1.03 %

24h -0.53%

Week +20.41%

Month -92.23%

Year -84.99%

+20%

-92.21%

-89.83%

+1.27%

+0.18%

+0.9%

-93.33%

-84.3%

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 $0.001208. Decentralized Machine Learning is listed on 3 Exchanges with a sum of 3 active markets. The 24h volume of [DML] is $26 861.50, while the Decentralized Machine Learning market cap is $76 121.00 which ranks it as #1069 of all cryptocurrencies. You can find more information about Decentralized Machine Learning [DML] on decentralizedml.com

Blockchain Service (173)
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Website: decentralizedml.com

Explorer: etherscan.io ethplorer.io

Discussion: Telegram [1], Telegram [2]

Social (followers): Medium , Facebook , Reddit (146)

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 1069

All Time High

$76 121.00 7.00 BTC

$0.241260 09 May 2018 % to ATH (19 876.82%)

Circulating Supply

Volume (24h) Rank 906

63 030 141 Total: 272 937 007

$26 861.50 2.67 BTC

Vol / M Cap (24h)

Beta

35.29%

-2.07

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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Technical Analysis

ICO review

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

Received Value	$2 200 000.00 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 9 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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Rank 1096

Events
Decentralized Machine Learning Past Events
Date Event description
03 January 2019 9 months ago Hotbit Listing
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Decentralized Machine Learning Upcoming Events
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Exchanges (3) / Markets

Decentralized Machine Learning Exchanges

#	Source	Volume (24h)	FIATs
1	Hotbit	99.93%	USD
2	DDEX	0.07%	-
3	IDEX	0%	-

#	Source

Decentralized Machine Learning Markets

By Volume

#	Exchange	Pair	Volume (24h)	Price	Volume (%)	Category	Fee Type	Updated
1	Hotbit	DML/ETH	$26 390.53	$0.001176	99.93%	Spot	Percentage	2 minutes ago
2	DDEX	DML/WETH	$19.07	$0.017506	0.07%	Spot	Percentage	1 minute ago
3	IDEX	DML/ETH	$0	$0.001082	0%	Spot	Percentage	2 minutes 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

Similar Coins

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Decentralized Machine Learning Tags:

Blockchain Service (173)

#	Name	MarketCap	Price	Volume (24h)	Circulating Supply	7d chart
161	FantomFTM	$27 778 412	$0.015316	$3 747 294	1 813 658 595	-2.77 %
170	OrbsORBS	$25 771 613	$0.013690	$305 946	1 882 515 160	3.36 %
285	GoWithMiGMAT	$11 817 440	$0.004431	$916 252	2 667 100 000	-3.31 %
521	OmnitudeECOM	$3 968 867	$0.061235	$10 946.74	64 813 301	-11.22 %
526	TEMCOTEMCO	$3 904 309	$0.001250	$164 450	3 124 497 775	-6.83 %
664	KlerosPNK	$1 890 585	$0.008382	$1 261.79	225 563 810	28.24 %
723	NOIA NetworkNOIA	$1 488 229	$0.030604	$1 646 175	48 628 815	-15.02 %
801	CardstackCARD	$1 043 664	$0.000440	$54 799.83	2 370 456 121	5.01 %
860	Vodi XVDX	$666 671	$0.001914	$12 260.23	348 360 758	-10.56 %
864	Open PlatformOPEN	$653 130	$0.000908	$2 283.85	718 950 534	-7.94 %
924	GoNetworkGOT	$449 527	$0.006244	$50 500.36	71 994 620	4.69 %
943	MembranaMBN	$399 146	$0.008238	$44 672.06	48 452 433	-15.21 %
1526	EvedoEVED	$72 133.00	$0.009387	$517.66	7 684 771	5.58 %
1891	DREPDREP	$0	$0.003630	$1 368 731	0	45.59 %
2024	MSDMSD	$0	$0.006145	$51 791.92	0	-5.78 %
2035	XenoverseXENO	$0	$0.001510	$42 102.33	0	-20.66 %

Users/Transfers

Token address

Decentralized Machine Learning token address:	0xbcdfe338d55c061c084d81fd793ded00a27f226d

Decentralized Machine Learning token address:
0xbcdfe338d55c061c084d81fd793ded00a27f226d

Wealth Distribution

Top Addresses	Value	Percentage
Top 10	228 773 338 DML	83.82%
Top 100	253 567 955 DML	92.90%
Top 1000	269 194 215 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	1.27%
10	0x544d3957b6cb4a58dc1f5fc86d9aefd1108955bd	1.15%
11	0xc853b3d0a51dade1335a51ee92e4a5c2529ecc05	1.05%
12	0x274f3c32c90517975e29dfc209a23f315c1e5fc7	0.62%
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	0xf9fd7dc5f5bc808385c079136c6ba4090052f7b8	0.16%
26	0xf21749506cdc7c684b096ba172c99a8878a816fb	0.12%
27	0x92ec28dd8426733d21d8e3fe40cac6a5098b3caf	0.12%
28	0xaf778b52acccb762ae990cb414dce61ee86bc4b7	0.11%
29	0x9f1c3a21fdc56247b5604c2e6984d3192883ae4c	0.11%
30	0xae0f83626d62b273ea2463eb49503c68e7767300	0.10%
31	0x62726af6e82739411421d1220fc74f3b2ed30c71	0.10%
32	0x86254e3e0bf303fe5b5922e4b31b30cd335f833e	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	0x4931168a5c058374173fb909c274867d2205d3ca	0.07%
43	0x47ad71beed8ed1042b7b16a876d909e66512f89c	0.07%
44	0x53cfc5cfb9acc200912eaeebf2fcc6f7e1d51968	0.07%
45	0xee46231b2b579f101a27a75d7e1b901564917e65	0.07%
46	0x5cc054389747a6b32f2016db8d48da8729e53f07	0.06%
47	0x6c08368f8467402dc0a241b4a51629da6a74c5e8	0.06%
48	0xfb1d87f1d5f91a237a6aab0a94c9686696907d34	0.06%
49	0xb556465cd53c8515116b9c75ca6cff7fc9e87181	0.06%
50	0x60137d61ab1412dd5cd61098a49524841f44b3cb	0.05%
51	0x817b0182d2ea50946d53562c63eefb0a7911a7b7	0.05%
52	0xa6346181e41c42435e5c624856c41dcd07b139d6	0.05%
53	0x4d995ab2349bc49a0924d23b384b7257a21570fe	0.05%
54	0x8cd9f9c08c6a3f891bc570f1d6a3dc91c1f62bb0	0.05%
55	0xbc3f584935f54d2af96074cba64254ddaa785b04	0.05%
56	0xad6d126000936f88ebdcca9775512fb185c77b1a	0.05%
57	0x59c25914c72322661bda31393dcd156e28a34ee6	0.05%
58	0x2439573fb48e5c627731b2b6f00a43262af09717	0.05%
59	0x7765663f75ee9bf44c208e72102046fbb61a99a3	0.05%
60	0xaedeb7be45d2a977a55dcc0b5dd3d560703b3ff1	0.05%
61	0x4a84993e6aef08f1e55f797d5c9fd250cb45461e	0.05%
62	0x8047969979d614e8ef567d5540bb41c07380180e	0.05%
63	0x84e326eaa0ca2bcaa995f66071a289eedcd9698a	0.04%
64	0xea09431b6ddc2a52a997d690573934a72c8eb95b	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	0xfc7f623bc12dbeb984a9d618e9b07693ff35283f	0.04%
74	0x801ea3d25f8bed43e8fb9cd6c56af672e89dabf8	0.04%
75	0xa53735f93abf872c78452f44ae61cb3fc1e9e9b7	0.04%
76	0x39deee10eb303a3a5c897e802a278590cb236c24	0.04%
77	0xddeb381222b9b8c1783ffc980404c17346a8d8ed	0.04%
78	0xd85a4b28302b6f9cd0af9b3f9086b544812a878c	0.04%
79	0x076739de679fbac82fe5efcbc1a5af9545b66439	0.04%
80	0xfb27318b61a8d800024726e92a1fba16b138e5ab	0.04%
81	0xe4cf72eb3877ddc815371c24fd3c92c3fd408a06	0.04%
82	0x0424e64b9410880dc2376ef502e265a2d096c61d	0.04%
83	0xe8b583427415632a2f918cebd82c24d7810d264a	0.03%
84	0x218f0345af3eadaf9a911255d7bc3920ef31bf28	0.03%
85	0xef6a0644b746d95bc55cb1063f402ca35f61309d	0.03%
86	0x2aa98e09d39a19ad08c0cfa9ca1e69572e60392e	0.03%
87	0x31681265b5efdfb95bea2dd8aba28b0032282d81	0.03%
88	0xe606deb733c4e11882046399515f93069c73c45f	0.03%
89	0x78189b3232c700934f8061dd654eac5fed88caa1	0.03%
90	0xe7b8eca19396047d91e3918542f31c9b893e5346	0.03%
91	0x7ddda933a973507f7fac34510ba24e1dd1791d07	0.03%
92	0x6a7ca41fdd98e00207d2724d03e2bf72b5640bd1	0.03%
93	0x5943bd2ced3e2d52de5ebb0fd747a40af688cf5f	0.03%
94	0x3c79a5d49057c2def6b61c11a1519e757afc34a3	0.03%
95	0x3b2be8ff8f9001d7871e5bbc5f58c35079f7e363	0.03%
96	0xf49f8154adf80149073cc12e4c90b6289d1615e8	0.03%
97	0xaa2984c04f16d9ce881fec5fad0245c2e3f3b5f7	0.03%
98	0xa106379acb22df279f1ac3c0299742531b3ba6ee	0.03%
99	0xea05e9c0de8dddcb8a1a3052380be7fc8456e876	0.03%
100	0xa1b27d18351652efe9202c8be6d585ef339f4d69	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