dexvaluation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "   # How to Evaluate Decentralized Exchanges\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "btc_price = 5500\n",
    "\n",
    "data = [\"DEX,status,PRICE,Circulating supply,Total Supply,BTC Value,USD Value\"\n",
    ", \"DTX,D,0.00000304,22099932,46094019,140.1258178,770691.9977\"\n",
    ", \"Dether,D,0.00000184,83600000,100000000,184,1012000\"\n",
    ", \"ATLANT DEX,D,0.00000551,37551901,54175041,298.5044759,1641774.618\"\n",
    ", \"Arbidex,D,0.00001481,20421954,25000000,370.25,2036375\"\n",
    ", \"Blocktrade,L,0.00001044,54125290,57746762,602.8761953,3315819.074\"\n",
    ", \"Aphelion,D,0.00000967,50000000,70188440,678.7222148,3732972.181\"\n",
    ", \"Blockport,D,0.00001165,52870933,69434800,808.91542,4449034.81\"\n",
    ", \"LocalCoinSwap,D,0.0000127,52327599,72732420,923.701734,5080359.537\"\n",
    ", \"Counterparty,L,0.00051642,2615923,2615923,1350.914956,7430032.256\"\n",
    ", \"Melon,L,0.00182069,599400,749400,1364.425086,7504337.973\"\n",
    ", \"Linke Coin,D,0.0000029,112776150,500000000,1450,7975000\"\n",
    ", \"Mercury,D,0.00001452,100000000,100000000,1452,7986000\"\n",
    ", \"STEX,L,0.00000152,522694673,1000000000,1520,8360000\"\n",
    ", \"Stakenet,D,0.0000229,73335305,82464882,1888.445798,10386451.89\"\n",
    ", \"NIX,L,0.00005968,41934450,41934450,2502.647976,13764563.87\"\n",
    ", \"Mothership,D,0.00001318,140000000,200000000,2636,14498000\"\n",
    ", \"Leverj,D,0.00000315,118090511,1000000000,3150,17325000\"\n",
    ", \"SafeX,L,0.00000165,1543157590,2147483647,3543.348018,19488414.1\"\n",
    ", \"DEW,D,0.00002236,103244553,200000000,4472,24596000\"\n",
    ", \"Allbit,L,?,?,?,4660,25630000\"\n",
    ", \"LAToken,L,0.00001342,81037294,400000000,5368,29524000\"\n",
    ", \"Republic Protocol,L,0.00000552,601586967,1000000000,5520,30360000\"\n",
    ", \"AirSwap,L,0.00001124,150000000,500000000,5620,30910000\"\n",
    ", \"NXT,L,0.00000895,998999942,1000000000,8950,49225000\"\n",
    ", \"Ethos,D,0.00004125,82358464,222295208,9169.67733,50433225.32\"\n",
    ", \"Digitext Future,L,0.00000941,731250000,1000000000,9410,51755000\"\n",
    ", \"Fusion,D,0.00017494,29704811,57344000,10031.75936,55174676.48\"\n",
    ", \"Kyper Network,L,0.00005023,134132697,215625349,10830.86128,59569737.04\"\n",
    ", \"Bibox,D,0.00005098,102384714,265986997,13560.01711,74580094.09\"\n",
    ", \"Bancor,L,0.00018907,64972731,77641928,14679.75933,80738676.3\"\n",
    ", \"Eidoo,L,0.00017919,29261461,90208328,16164.43029,88904366.62\"\n",
    ", \"Loopring,L,0.00001279,788984491,1374955752,17585.68407,96721262.37\"\n",
    ", \"WanChain,L,0.0001219,106152493,210000000,25599,140794500\"\n",
    ", \"Waves,L,0.00026815,100000000,100000000,26815,147482500\"\n",
    ", \"Bcex,L,?,?,?,33609,184849500\"\n",
    ", \"Bitshares,L,0.00001312,2672600000,3600570502,47239.48499,259817167.4\"\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "csv = [r.split(',') for r in data]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as p\n",
    "df=p.DataFrame.from_records(csv[1:], columns=csv[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3315819.0739999996"
      ]
     },
     "execution_count": 136,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['USD Value'] = p.to_numeric(df['USD Value'])\n",
    "launched=df.loc[df['status']=='L']\n",
    "dev=df.loc[df['status']=='D']\n",
    "\n",
    "xl=list(range(len(launched)))\n",
    "yl=list(launched['USD Value'])\n",
    "zl=launched['DEX']\n",
    "\n",
    "xd=list(range(len(dev)))\n",
    "yd=list(dev['USD Value'])\n",
    "zd=dev['DEX']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1152 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(18, 16))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.scatter(xd, yd, c='b', marker='o', label='Dev')\n",
    "for i, txt in enumerate(zd):\n",
    "    ax.annotate(txt, (xd[i], yd[i]))\n",
    "ax.scatter(xl, yl, c='r', marker='s', label='Launched')\n",
    "for i, txt in enumerate(zl):\n",
    "    ax.annotate(txt, (xl[i], yl[i]))\n",
    "plt.legend(loc='upper left');\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.scatter(xd[:15], yd[:15], c='b', marker='o', label='Dev')\n",
    "for i, txt in enumerate(zd[:15]):\n",
    "    ax.annotate(txt, (xd[i], yd[i]))\n",
    "ax.scatter(xl[:15], yl[:15], c='r', marker='s', label='Launched')\n",
    "for i, txt in enumerate(zl[:15]):\n",
    "    ax.annotate(txt, (xl[i], yl[i]))\n",
    "plt.legend(loc='upper left');\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(6, 6))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.scatter(xd[:8], yd[:8], c='b', marker='o', label='Dev')\n",
    "for i, txt in enumerate(zd[:8]):\n",
    "    ax.annotate(txt, (xd[i], yd[i]))\n",
    "ax.scatter(xl[:8], yl[:8], c='r', marker='s', label='Launched')\n",
    "for i, txt in enumerate(zl[:8]):\n",
    "    ax.annotate(txt, (xl[i], yl[i]))\n",
    "plt.legend(loc='upper left');\n",
    "plt.show()\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}