In [1]:

    

import pandas as pd, matplotlib.pyplot as plt


    

In [2]:

    

#get currencies
cr=pd.read_html('https://coinmarketcap.com/exchanges/hitbtc/')[0]
cr=cr[1:]
cr['c']=[float(i[1:].replace(',','')) for i in cr[3]]
minvol=100000
currencys=cr[cr['c']>minvol][1].values
currencys


    

    
Out[2]:





array([u'Bitcoin Cash', u'Bitcoin', u'Ethereum', u'Dash', u'Monero',
       u'Zcash', u'Litecoin', u'Bitcoin Gold', u'DigitalNote', u'Ripple',
       u'Ethereum', u'Bitcoin Cash', u'Dogecoin', u'Nxt', u'Bytecoin',
       u'NEM', u'Litecoin', u'Dash', u'Dent', u'TRON', u'Bitcoin Cash',
       u'Monero', u'NEO', u'EOS', u'Zcash', u'Verge', u'EOS',
       u'Bitcoin Gold', u'Ardor', u'Eroscoin', u'NEO', u'Lisk',
       u'Ethereum Classic', u'Bytecoin', u'Dogecoin', u'DigitalNote',
       u'Tezos (Pre-Launch)', u'NEM', u'Verge', u'Hive', u'Stox',
       u'MaidSafeCoin', u'Ethereum Classic', u'Monero', u'TRON', u'TRON',
       u'Stratis', u'Nxt', u'DigiByte', u'MyBit Token', u'Polybius',
       u'Nxt', u'Centra', u'Viberate', u'Bancor', u'SportyFi',
       u'SunContract', u'Bitcoin Gold', u'Tezos (Pre-Launch)',
       u'MaidSafeCoin', u'LAToken', u'Status', u'EOS', u'Loopring',
       u'Litecoin', u'AdEx', u'Edgeless', u'Verge', u'NEM', u'Dogecoin',
       u'Stratis', u'Viberate', u'Dash', u'Cappasity', u'Cryptonex',
       u'Substratum', u'Status', u'Hive', u'iXledger', u'VeChain',
       u'Exchange Union', u'Tezos (Pre-Launch)', u'CoinDash', u'Ripple',
       u'Zcash', u'SegWit2x [Futures]', u'Cindicator', u'iXledger',
       u'ICON', u'NEO', u'0x', u'VIBE', u'0x', u'Stox', u'Exchange Union',
       u'Bancor', u'Ethereum Classic', u'SegWit2x [Futures]', u'Cappasity',
       u'Bytecoin', u'Po.et', u'Populous', u'Aeon', u'Peercoin',
       u'DigiByte', u'Stox', u'Siacoin'], dtype=object)

In [3]:

    

cv=pd.read_json('https://api.coinmarketcap.com/v1/ticker/?limit=300')


    

In [9]:

    

currencies=['bitcoin-cash','trackr','openanx','blackmoon-crypto','qtum','neo','stratis','bancor',\
           'monetha','eos','nem']
currencies=cv['id'].values[1:]
exchanges=['HitBTC','Bittrex','COSS','WEX','Binance','Allcoin','LiteBit.eu','GDAX','EtherDelta']
df=[]
for c in currencies:
    print c,
    url='https://coinmarketcap.com/currencies/'+c+'/#markets'
    df.append(pd.read_html(url)[0])


    

    




ethereum bitcoin-cash ripple litecoin cardano iota dash nem monero bitcoin-gold stellar eos neo ethereum-classic tron bitconnect qtum populous lisk omisego zcash waves tether stratis bitshares ardor verge hshare nxt bytecoin-bcn dogecoin monacoin status ark binance-coin veritaseum steem decred siacoin salt komodo augur digibyte einsteinium pivx golem-network-tokens qash byteball vertcoin tenx digixdao aeternity basic-attention-token electroneum vechain raiblocks factom kyber-network bytom iconomi walton santiment maidsafecoin cryptonex syscoin power-ledger gas decentraland bitcoindark zcoin 0x raiden-network-token gxshares gnosis-gno nexus funfair paypie streamr-datacoin gamecredits request-network monaco civic dragonchain bancor dent nav-coin metal substratum metaverse edgeless peercoin chainlink revain bitbay storj blocknet rchain skycoin enjin-coin pura quantstamp aion ink ripio-credit-network ethos achain time-new-bank minexcoin ubiq cobinhood zencash wabi sonm singulardtv adx-net attention-token-of-media groestlcoin quantum-resistant-ledger counterparty asch aragon yoyow reddcoin loopring particl jinn smartcash feathercoin potcoin kin lykke pepe-cash viacoin xp rlc rise voxels mercury mobilego kucoin-shares eidoo namecoin enigma-project aeon xtrabytes humaniq wings faircoin whitecoin poet tierion centra cofound-it emercoin coindash safe-exchange-coin library-credit agoras-tokens cloakcoin ethlend neblio hive pillar crown burst paypex firstblood district0x cindicator delphy amber airswap melon ion blocktix open-trading-network red-pulse modum zeusshield blockv diamond bridgecoin taas wagerr digitalnote gulden sibcoin guppy iocoin okcash etherparty steem-dollars trust decent bitcore spankchain shift omni moeda-loyalty-points russian-mining-coin elastic blackcoin bodhi gridcoin grid salus firstcoin xplay credo numeraire viberate nolimitcoin triggers monetaryunit agrello-delta bitcny presearch synereo stox monetha hempcoin vericoin obits ixledger genesis-vision gambit bitdice dentacoin atbcoin golos oraclechain global-currency-reserve everex rubycoin aventus waves-community-token icos phore pascal-coin adtoken radium bitsend florincoin neoscoin databits exchange-union bcap leocoin clams mooncoin nimiq transfercoin patientory domraider primas unikoin-gold expanse the-champcoin tokencard paragon heat-ledger soarcoin bitqy etheroll suncontract polybius lomocoin unobtanium rialto kickico casinocoin mothership swarm-city solarcoin maecenas mysterium foldingcoin xaurum fedoracoin rivetz spectrecoin alis nvo bitzeny bitbean incent boolberry vcash musicoin peerplays-ppy bitmark encryptotel nushares deeponion energycoin lunyr nexium novacoin sphere

In [10]:

    

best=[]
for j in range(len(currencies)):
    curr='BTC'
    d=df[j].loc[[i for i in df[j].index if df[j]['Source'][i] in exchanges]]
    d=d.loc[[i for i in d.index if curr in d['Pair'][i]]]
    d['p']=[float(i.replace('*','').strip()[1:]) for i in d['Price']]
    d['v']=[float(i.replace('*','').strip()[1:].replace(',','')) for i in d['Volume (24h)']]
    minvol=10000
    d=d[d['v']>minvol].sort_values('p')
    print j,
    try:
        best.append({"j":j,"vol(k)":min(d['v'].values[0],d['v'].values[-1])/1000.0,"cu":currencies[j],"v":d['p'].values[-1]*100/d['p'].values[0]-100,\
                     "sell":d['Source'].values[0],"buy":d['Source'].values[-1]})
    except: pass


    

    




0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298

In [6]:

    

pd.DataFrame(best).sort_values('v',ascending=False).head(10)


    

    
Out[6]:






  

    

      

      
buy
      
cu
      
j
      
sell
      
v
      
vol(k)
    
  
  

    

      
42
      
HitBTC
      
digibyte
      
42
      
Bittrex
      
29.310720
      
830.906
    
    

      
58
      
Bittrex
      
maidsafecoin
      
62
      
HitBTC
      
28.285994
      
907.684
    
    

      
38
      
HitBTC
      
siacoin
      
38
      
Bittrex
      
15.933089
      
102.066
    
    

      
21
      
HitBTC
      
waves
      
21
      
Bittrex
      
15.837104
      
37.047
    
    

      
139
      
HitBTC
      
cindicator
      
168
      
Binance
      
13.634274
      
20.001
    
    

      
23
      
HitBTC
      
stratis
      
23
      
Bittrex
      
12.429907
      
318.481
    
    

      
96
      
HitBTC
      
singulardtv
      
113
      
Bittrex
      
8.666194
      
42.496
    
    

      
125
      
HitBTC
      
centra
      
151
      
Binance
      
8.541824
      
695.690
    
    

      
138
      
Binance
      
district0x
      
167
      
HitBTC
      
7.501201
      
28.209
    
    

      
27
      
Binance
      
hshare
      
27
      
Allcoin
      
7.002938
      
8185.830
    
  

In [7]:

    

pd.DataFrame(best).sort_values('v',ascending=False).head(10)


    

    
Out[7]:






  

    

      

      
buy
      
cu
      
j
      
sell
      
v
      
vol(k)
    
  
  

    

      
42
      
HitBTC
      
digibyte
      
42
      
Bittrex
      
29.310720
      
830.906
    
    

      
58
      
Bittrex
      
maidsafecoin
      
62
      
HitBTC
      
28.285994
      
907.684
    
    

      
38
      
HitBTC
      
siacoin
      
38
      
Bittrex
      
15.933089
      
102.066
    
    

      
21
      
HitBTC
      
waves
      
21
      
Bittrex
      
15.837104
      
37.047
    
    

      
139
      
HitBTC
      
cindicator
      
168
      
Binance
      
13.634274
      
20.001
    
    

      
23
      
HitBTC
      
stratis
      
23
      
Bittrex
      
12.429907
      
318.481
    
    

      
96
      
HitBTC
      
singulardtv
      
113
      
Bittrex
      
8.666194
      
42.496
    
    

      
125
      
HitBTC
      
centra
      
151
      
Binance
      
8.541824
      
695.690
    
    

      
138
      
Binance
      
district0x
      
167
      
HitBTC
      
7.501201
      
28.209
    
    

      
27
      
Binance
      
hshare
      
27
      
Allcoin
      
7.002938
      
8185.830
    
  

In [206]:

    

#speed 1-5
#EDG 25 min
#PPC 50 min
#DOGE 10 min


    

In [ ]: