From 20292c6804d365a09a5f6b133c302d38cb640fdf Mon Sep 17 00:00:00 2001
From: Sergey Kikevich <sergey@rostsber.ru>
Date: Wed, 20 Jan 2021 08:25:21 +0300
Subject: [PATCH] feat: symbols_in_namespace() method in namespaces.py

---
 README.md                                     |   7 +-
 main.py                                       |   7 +-
 notebooks/01 howto.ipynb                      | 552 ++++++++++-----
 okama/__init__.py                             |  13 +-
 okama/api/__init__.py                         |   0
 okama/{data.py => api/api_methods.py}         | 133 +---
 okama/api/data_queries.py                     |  95 +++
 okama/api/namespaces.py                       |  44 ++
 okama/api/search.py                           |   8 +
 okama/assets.py                               | 665 +-----------------
 okama/frontier/__init__.py                    |   0
 .../multi_period.py}                          |   6 +-
 .../single_period.py}                         |   6 +-
 okama/macro.py                                |   3 +-
 okama/plots.py                                |   4 +-
 okama/portfolio.py                            | 665 ++++++++++++++++++
 okama/settings.py                             |   3 +-
 tests/conftest.py                             |   8 +-
 tests/test_assets.py                          |   3 +-
 tests/test_frontier.py                        |   2 +-
 tests/test_frontier_reb.py                    |   2 +-
 tests/test_macro.py                           |   1 -
 22 files changed, 1222 insertions(+), 1005 deletions(-)
 create mode 100644 okama/api/__init__.py
 rename okama/{data.py => api/api_methods.py} (53%)
 create mode 100644 okama/api/data_queries.py
 create mode 100644 okama/api/namespaces.py
 create mode 100644 okama/api/search.py
 create mode 100644 okama/frontier/__init__.py
 rename okama/{frontier_reb.py => frontier/multi_period.py} (99%)
 rename okama/{frontier.py => frontier/single_period.py} (99%)
 create mode 100644 okama/portfolio.py

diff --git a/README.md b/README.md
index 0281b18..5a5c427 100644
--- a/README.md
+++ b/README.md
@@ -4,7 +4,7 @@
         <img src="https://img.shields.io/badge/python-v3-brightgreen.svg"
             alt="python"></a> &nbsp;
     <a href="https://pypi.org/project/okama/">
-        <img src="https://img.shields.io/badge/pypi-v0.92-brightgreen.svg"
+        <img src="https://img.shields.io/badge/pypi-v0.93-brightgreen.svg"
             alt="pypi"></a> &nbsp;
     <a href="https://opensource.org/licenses/MIT">
         <img src="https://img.shields.io/badge/license-MIT-brightgreen.svg"
@@ -84,10 +84,13 @@ x.wealth_indexes.plot()
 ![](../images/images/readmi03.jpg?raw=true) 
 
 ### 2. Create a dividend stocks portfolio with base currency EUR
+
 ```python
+import okama.portfolio
+
 weights = [0.3, 0.2, 0.2, 0.2, 0.1]
 assets = ['T.US', 'XOM.US', 'FRE.XETR', 'SNW.XETR', 'LKOH.MOEX']
-pf = ok.Portfolio(assets, weights=weights, ccy='EUR')
+pf = okama.portfolio.Portfolio(assets, weights=weights, ccy='EUR')
 print(pf)
 ```
 ![](../images/images/readmi04.jpg?raw=true) 
diff --git a/main.py b/main.py
index fa95bd8..72c8aa2 100644
--- a/main.py
+++ b/main.py
@@ -1,8 +1,3 @@
 import okama as ok
-import pandas as pd
 
-x = ok.Portfolio(symbols=['RUB.FX', 'MCFTR.INDX'], ccy='RUB',
-                                      first_date='2015-01', last_date='2020-01', inflation=True)
-print(x.describe())
-print('\n\n*******************')
-print(pd.read_pickle('tests/data/portfolio_description.pkl'))
\ No newline at end of file
+print(ok.symbols_in_namespace('CBR').info)
diff --git a/notebooks/01 howto.ipynb b/notebooks/01 howto.ipynb
index 8eb49f9..cb0596c 100644
--- a/notebooks/01 howto.ipynb	
+++ b/notebooks/01 howto.ipynb	
@@ -34,15 +34,15 @@
     {
      "data": {
       "text/plain": [
-       "symbol                             VOO.US\n",
-       "name                 Vanguard S&P 500 ETF\n",
-       "country                               USA\n",
-       "exchange                        NYSE ARCA\n",
-       "currency                              USD\n",
-       "type                                  ETF\n",
-       "first date                        2010-10\n",
-       "last date                         2020-12\n",
-       "period length (Y)                   10.20\n",
+       "symbol                         VOO.US\n",
+       "name             Vanguard S&P 500 ETF\n",
+       "country                           USA\n",
+       "exchange                    NYSE ARCA\n",
+       "currency                          USD\n",
+       "type                              ETF\n",
+       "first date                    2010-10\n",
+       "last date                     2021-01\n",
+       "period length                    10.3\n",
        "dtype: object"
       ]
      },
@@ -64,7 +64,7 @@
     {
      "data": {
       "text/plain": [
-       "343.69"
+       "346.76"
       ]
      },
      "execution_count": 3,
@@ -137,13 +137,6 @@
        "  'Germany',\n",
        "  'XETR',\n",
        "  'EUR',\n",
-       "  'Common Stock'],\n",
-       " ['XONA.F',\n",
-       "  'XONA',\n",
-       "  'Exxon Mobil Corporation',\n",
-       "  'Germany',\n",
-       "  'F',\n",
-       "  'EUR',\n",
        "  'Common Stock']]"
       ]
      },
@@ -156,6 +149,13 @@
     "ok.search('exxon')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Namespaces"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 6,
@@ -164,7 +164,8 @@
     {
      "data": {
       "text/plain": [
-       "{'COMM': 'Commodities prices',\n",
+       "{'CBR': 'Central Banks official currency exchange rates',\n",
+       " 'COMM': 'Commodities prices',\n",
        " 'FX': 'FOREX currency market',\n",
        " 'INDX': 'Indexes',\n",
        " 'INFL': 'Inflation',\n",
@@ -187,6 +188,197 @@
     "ok.namespaces"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>symbol</th>\n",
+       "      <th>ticker</th>\n",
+       "      <th>name</th>\n",
+       "      <th>country</th>\n",
+       "      <th>exchange</th>\n",
+       "      <th>currency</th>\n",
+       "      <th>type</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>000906.INDX</td>\n",
+       "      <td>000906</td>\n",
+       "      <td>CHINA SECURITIES INDEX 800</td>\n",
+       "      <td>Unknown</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0O7N.INDX</td>\n",
+       "      <td>0O7N</td>\n",
+       "      <td>SCALE ALL SHARE GR EUR</td>\n",
+       "      <td>Germany</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>EUR</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3LHE.INDX</td>\n",
+       "      <td>3LHE</td>\n",
+       "      <td>ESTX 50 CORPORATE BOND TR</td>\n",
+       "      <td>Greece</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>EUR</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>990100.INDX</td>\n",
+       "      <td>990100</td>\n",
+       "      <td>MSCI International World Index Price</td>\n",
+       "      <td>Unknown</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>ACWI.INDX</td>\n",
+       "      <td>ACWI</td>\n",
+       "      <td>MSCI International ACWI Net Index US</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>582</th>\n",
+       "      <td>XNG.INDX</td>\n",
+       "      <td>XNG</td>\n",
+       "      <td>ARCA Natural Gas</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>583</th>\n",
+       "      <td>XOI.INDX</td>\n",
+       "      <td>XOI</td>\n",
+       "      <td>ARCA Oil</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>584</th>\n",
+       "      <td>XU030.INDX</td>\n",
+       "      <td>XU030</td>\n",
+       "      <td>BIST 30</td>\n",
+       "      <td>Turkey</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>TRY</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>XU100.INDX</td>\n",
+       "      <td>XU100</td>\n",
+       "      <td>BIST 100</td>\n",
+       "      <td>Turkey</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>TRY</td>\n",
+       "      <td>INDEX</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>YMU0.INDX</td>\n",
+       "      <td>YMU0</td>\n",
+       "      <td>E-mini Dow $5 Future Sept 20</td>\n",
+       "      <td>USA</td>\n",
+       "      <td>INDX</td>\n",
+       "      <td>USD</td>\n",
+       "      <td>Futures</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>587 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          symbol  ticker                                  name  country  \\\n",
+       "0    000906.INDX  000906            CHINA SECURITIES INDEX 800  Unknown   \n",
+       "1      0O7N.INDX    0O7N                SCALE ALL SHARE GR EUR  Germany   \n",
+       "2      3LHE.INDX    3LHE             ESTX 50 CORPORATE BOND TR   Greece   \n",
+       "3    990100.INDX  990100  MSCI International World Index Price  Unknown   \n",
+       "4      ACWI.INDX    ACWI  MSCI International ACWI Net Index US      USA   \n",
+       "..           ...     ...                                   ...      ...   \n",
+       "582     XNG.INDX     XNG                      ARCA Natural Gas      USA   \n",
+       "583     XOI.INDX     XOI                              ARCA Oil      USA   \n",
+       "584   XU030.INDX   XU030                               BIST 30   Turkey   \n",
+       "585   XU100.INDX   XU100                              BIST 100   Turkey   \n",
+       "586    YMU0.INDX    YMU0          E-mini Dow $5 Future Sept 20      USA   \n",
+       "\n",
+       "    exchange currency     type  \n",
+       "0       INDX      USD    INDEX  \n",
+       "1       INDX      EUR    INDEX  \n",
+       "2       INDX      EUR    INDEX  \n",
+       "3       INDX      USD    INDEX  \n",
+       "4       INDX      USD    INDEX  \n",
+       "..       ...      ...      ...  \n",
+       "582     INDX      USD    INDEX  \n",
+       "583     INDX      USD    INDEX  \n",
+       "584     INDX      TRY    INDEX  \n",
+       "585     INDX      TRY    INDEX  \n",
+       "586     INDX      USD  Futures  \n",
+       "\n",
+       "[587 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# available symbols in namespace\n",
+    "ok.symbols_in_namespace('INDX')"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -196,7 +388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -206,22 +398,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "symbols              [SPY.US, BND.US, GC.COMM, EUR.FX]\n",
-       "currency                                           EUR\n",
-       "first date                                     2007-05\n",
-       "last_date                                      2020-01\n",
-       "period length (Y)                   12 years, 9 months\n",
-       "inflation                                     EUR.INFL\n",
+       "symbols          [SPY.US, BND.US, GC.COMM, EUR.FX]\n",
+       "currency                                       EUR\n",
+       "first date                                 2007-05\n",
+       "last_date                                  2020-01\n",
+       "period length                   12 years, 9 months\n",
+       "inflation                                 EUR.INFL\n",
        "dtype: object"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -233,7 +425,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -245,7 +437,7 @@
        " 'EUR.FX': 'EUR'}"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -263,19 +455,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -292,19 +482,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -321,7 +509,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -451,7 +639,7 @@
        "[4659 rows x 4 columns]"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -469,19 +657,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -498,7 +684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -536,50 +722,50 @@
        "      <th>0</th>\n",
        "      <td>Compound return</td>\n",
        "      <td>YTD</td>\n",
-       "      <td>0.0307119</td>\n",
-       "      <td>0.0107</td>\n",
-       "      <td>0.0536547</td>\n",
-       "      <td>0.0102957</td>\n",
-       "      <td>-0.01</td>\n",
+       "      <td>0.030712</td>\n",
+       "      <td>0.010700</td>\n",
+       "      <td>0.053655</td>\n",
+       "      <td>0.010296</td>\n",
+       "      <td>-0.010000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 years</td>\n",
        "      <td>0.132887</td>\n",
-       "      <td>0.0319925</td>\n",
+       "      <td>0.031992</td>\n",
        "      <td>0.236526</td>\n",
        "      <td>0.253479</td>\n",
-       "      <td>0.0119145</td>\n",
+       "      <td>0.011915</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>10 years</td>\n",
-       "      <td>0.0606073</td>\n",
-       "      <td>0.0225434</td>\n",
-       "      <td>0.0624161</td>\n",
+       "      <td>0.060607</td>\n",
+       "      <td>0.022543</td>\n",
+       "      <td>0.062416</td>\n",
        "      <td>0.164265</td>\n",
-       "      <td>0.0128024</td>\n",
+       "      <td>0.012802</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>12 years, 9 months</td>\n",
-       "      <td>0.0600048</td>\n",
-       "      <td>0.0163635</td>\n",
-       "      <td>0.0861623</td>\n",
+       "      <td>0.060005</td>\n",
+       "      <td>0.016364</td>\n",
+       "      <td>0.086162</td>\n",
        "      <td>0.102419</td>\n",
-       "      <td>0.0129399</td>\n",
+       "      <td>0.012940</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>Dividend yield</td>\n",
        "      <td>LTM</td>\n",
-       "      <td>0.0266639</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0</td>\n",
-       "      <td>0.0174628</td>\n",
+       "      <td>0.026664</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.017463</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -597,9 +783,9 @@
        "      <td>CVAR</td>\n",
        "      <td>12 years, 9 months</td>\n",
        "      <td>0.049936</td>\n",
-       "      <td>0.0582125</td>\n",
-       "      <td>0.0924054</td>\n",
-       "      <td>0.0846775</td>\n",
+       "      <td>0.058213</td>\n",
+       "      <td>0.092405</td>\n",
+       "      <td>0.084677</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -609,7 +795,7 @@
        "      <td>-0.150839</td>\n",
        "      <td>-0.173337</td>\n",
        "      <td>-0.365001</td>\n",
-       "      <td>-0.46816</td>\n",
+       "      <td>-0.468160</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -636,11 +822,11 @@
        "      <th>10</th>\n",
        "      <td>Last asset date</td>\n",
        "      <td>None</td>\n",
-       "      <td>2020-12</td>\n",
+       "      <td>2021-01</td>\n",
+       "      <td>2021-01</td>\n",
+       "      <td>2021-01</td>\n",
        "      <td>2021-01</td>\n",
        "      <td>2020-12</td>\n",
-       "      <td>2020-12</td>\n",
-       "      <td>2020-11</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>11</th>\n",
@@ -657,36 +843,36 @@
        "</div>"
       ],
       "text/plain": [
-       "                 property              period     BND.US     EUR.FX  \\\n",
-       "0         Compound return                 YTD  0.0307119     0.0107   \n",
-       "1                    CAGR             1 years   0.132887  0.0319925   \n",
-       "2                    CAGR            10 years  0.0606073  0.0225434   \n",
-       "3                    CAGR  12 years, 9 months  0.0600048  0.0163635   \n",
-       "4          Dividend yield                 LTM  0.0266639          0   \n",
-       "5                    Risk  12 years, 9 months   0.107616   0.105235   \n",
-       "6                    CVAR  12 years, 9 months   0.049936  0.0582125   \n",
-       "7           Max drawdowns  12 years, 9 months  -0.150839  -0.173337   \n",
-       "8     Max drawdowns dates  12 years, 9 months    2011-04    2011-04   \n",
-       "9          Inception date                None    2007-05    2000-01   \n",
-       "10        Last asset date                None    2020-12    2021-01   \n",
-       "11  Common last data date                None    2020-01    2020-01   \n",
+       "                 property              period    BND.US    EUR.FX   GC.COMM  \\\n",
+       "0         Compound return                 YTD  0.030712  0.010700  0.053655   \n",
+       "1                    CAGR             1 years  0.132887  0.031992  0.236526   \n",
+       "2                    CAGR            10 years  0.060607  0.022543  0.062416   \n",
+       "3                    CAGR  12 years, 9 months  0.060005  0.016364  0.086162   \n",
+       "4          Dividend yield                 LTM  0.026664  0.000000  0.000000   \n",
+       "5                    Risk  12 years, 9 months  0.107616  0.105235  0.191243   \n",
+       "6                    CVAR  12 years, 9 months  0.049936  0.058213  0.092405   \n",
+       "7           Max drawdowns  12 years, 9 months -0.150839 -0.173337 -0.365001   \n",
+       "8     Max drawdowns dates  12 years, 9 months   2011-04   2011-04   2013-12   \n",
+       "9          Inception date                None   2007-05   2000-01   2000-09   \n",
+       "10        Last asset date                None   2021-01   2021-01   2021-01   \n",
+       "11  Common last data date                None   2020-01   2020-01   2020-01   \n",
        "\n",
-       "      GC.COMM     SPY.US  inflation  \n",
-       "0   0.0536547  0.0102957      -0.01  \n",
-       "1    0.236526   0.253479  0.0119145  \n",
-       "2   0.0624161   0.164265  0.0128024  \n",
-       "3   0.0861623   0.102419  0.0129399  \n",
-       "4           0  0.0174628        NaN  \n",
-       "5    0.191243   0.150574        NaN  \n",
-       "6   0.0924054  0.0846775        NaN  \n",
-       "7   -0.365001   -0.46816        NaN  \n",
-       "8     2013-12    2009-02        NaN  \n",
-       "9     2000-09    1993-02    2007-05  \n",
-       "10    2020-12    2020-12    2020-11  \n",
-       "11    2020-01    2020-01    2020-01  "
+       "      SPY.US inflation  \n",
+       "0   0.010296 -0.010000  \n",
+       "1   0.253479  0.011915  \n",
+       "2   0.164265  0.012802  \n",
+       "3   0.102419  0.012940  \n",
+       "4   0.017463       NaN  \n",
+       "5   0.150574       NaN  \n",
+       "6   0.084677       NaN  \n",
+       "7  -0.468160       NaN  \n",
+       "8    2009-02       NaN  \n",
+       "9    1993-02   2007-05  \n",
+       "10   2021-01   2020-12  \n",
+       "11   2020-01   2020-01  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -718,7 +904,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -856,7 +1042,7 @@
        "[153 rows x 4 columns]"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -874,7 +1060,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -945,7 +1131,7 @@
        "EUR.FX   0.251927  0.936976  0.223338  1.000000"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -963,7 +1149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1034,7 +1220,7 @@
        "EUR.FX   0.000294  0.000814  0.000333  0.000883"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1052,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1123,7 +1309,7 @@
        "EUR.FX   0.228765  0.769846  0.155727  1.000000"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1148,7 +1334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1159,22 +1345,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "symbols              [VNQ.US, DBXD.XETR, MCFTR.INDX]\n",
-       "weights                            [0.5, 0.25, 0.25]\n",
-       "currency                                         USD\n",
-       "first date                                   2007-02\n",
-       "last_date                                    2020-11\n",
-       "period length (Y)                13 years, 10 months\n",
+       "symbols          [VNQ.US, DBXD.XETR, MCFTR.INDX]\n",
+       "weights                        [0.5, 0.25, 0.25]\n",
+       "currency                                     USD\n",
+       "first date                               2007-02\n",
+       "last_date                                2020-12\n",
+       "period length                13 years, 11 months\n",
        "dtype: object"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1186,7 +1372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
@@ -1245,7 +1431,7 @@
        "2                           MOEX Total Return  MCFTR.INDX     0.25"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 22,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1263,19 +1449,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1287,7 +1471,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Basic Portfolio risk metrics"
+    "### Risk metrics"
    ]
   },
   {
@@ -1299,16 +1483,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.23444573877483746"
+       "0.23484229111125543"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1319,7 +1503,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -1328,7 +1512,7 @@
        "0.18244424518524313"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1339,16 +1523,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "0.5536551295307901"
+       "0.5534102598164486"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1359,7 +1543,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1368,7 +1552,7 @@
        "0.5149669298711217"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1379,7 +1563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1388,7 +1572,7 @@
        "-0.6482717473447118"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1406,7 +1590,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1443,63 +1627,63 @@
        "      <td>compound return</td>\n",
        "      <td>Not rebalanced</td>\n",
        "      <td>YTD</td>\n",
-       "      <td>-0.0510541</td>\n",
-       "      <td>0.012710</td>\n",
+       "      <td>-0.001624</td>\n",
+       "      <td>0.013621</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 year</td>\n",
        "      <td>1 years</td>\n",
-       "      <td>-0.0227783</td>\n",
-       "      <td>0.011798</td>\n",
+       "      <td>0.156068</td>\n",
+       "      <td>0.018205</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 year</td>\n",
        "      <td>5 years</td>\n",
-       "      <td>0.0850888</td>\n",
-       "      <td>0.018597</td>\n",
+       "      <td>0.085315</td>\n",
+       "      <td>0.017445</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 year</td>\n",
        "      <td>10 years</td>\n",
-       "      <td>0.0770575</td>\n",
-       "      <td>0.017513</td>\n",
+       "      <td>0.088282</td>\n",
+       "      <td>0.017191</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 year</td>\n",
        "      <td>13.8 years</td>\n",
-       "      <td>0.050489</td>\n",
-       "      <td>0.018327</td>\n",
+       "      <td>0.054018</td>\n",
+       "      <td>0.018282</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>1 month</td>\n",
        "      <td>13.8 years</td>\n",
-       "      <td>0.0443419</td>\n",
-       "      <td>0.018327</td>\n",
+       "      <td>0.047923</td>\n",
+       "      <td>0.018282</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>CAGR</td>\n",
        "      <td>Not rebalanced</td>\n",
        "      <td>13.8 years</td>\n",
-       "      <td>0.0353878</td>\n",
-       "      <td>0.018327</td>\n",
+       "      <td>0.038650</td>\n",
+       "      <td>0.018282</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>Risk</td>\n",
        "      <td>1 month</td>\n",
        "      <td>13.8 years</td>\n",
-       "      <td>0.234446</td>\n",
+       "      <td>0.234842</td>\n",
        "      <td>NaN</td>\n",
        "    </tr>\n",
        "    <tr>\n",
@@ -1531,21 +1715,21 @@
        "</div>"
       ],
       "text/plain": [
-       "             property     rebalancing      period  portfolio  inflation\n",
-       "0     compound return  Not rebalanced         YTD -0.0510541   0.012710\n",
-       "1                CAGR          1 year     1 years -0.0227783   0.011798\n",
-       "2                CAGR          1 year     5 years  0.0850888   0.018597\n",
-       "3                CAGR          1 year    10 years  0.0770575   0.017513\n",
-       "4                CAGR          1 year  13.8 years   0.050489   0.018327\n",
-       "5                CAGR         1 month  13.8 years  0.0443419   0.018327\n",
-       "6                CAGR  Not rebalanced  13.8 years  0.0353878   0.018327\n",
-       "7                Risk         1 month  13.8 years   0.234446        NaN\n",
-       "8                CVAR         1 month  13.8 years   0.514967        NaN\n",
-       "9        Max drawdown         1 month  13.8 years  -0.648272        NaN\n",
-       "10  Max drawdown date         1 month  13.8 years    2009-02        NaN"
+       "             property     rebalancing      period portfolio  inflation\n",
+       "0     compound return  Not rebalanced         YTD -0.001624   0.013621\n",
+       "1                CAGR          1 year     1 years  0.156068   0.018205\n",
+       "2                CAGR          1 year     5 years  0.085315   0.017445\n",
+       "3                CAGR          1 year    10 years  0.088282   0.017191\n",
+       "4                CAGR          1 year  13.8 years  0.054018   0.018282\n",
+       "5                CAGR         1 month  13.8 years  0.047923   0.018282\n",
+       "6                CAGR  Not rebalanced  13.8 years  0.038650   0.018282\n",
+       "7                Risk         1 month  13.8 years  0.234842        NaN\n",
+       "8                CVAR         1 month  13.8 years  0.514967        NaN\n",
+       "9        Max drawdown         1 month  13.8 years -0.648272        NaN\n",
+       "10  Max drawdown date         1 month  13.8 years   2009-02        NaN"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1558,7 +1742,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Forecasting portfolio return"
+    "### Forecasting return"
    ]
   },
   {
@@ -1570,19 +1754,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1599,19 +1781,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 864x432 with 1 Axes>"
+       "<Figure size 1200x600 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -1622,9 +1802,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "py38",
+   "display_name": "py39",
    "language": "python",
-   "name": "py38"
+   "name": "py39"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1636,7 +1816,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.8.5"
+   "version": "3.9.1"
   }
  },
  "nbformat": 4,
diff --git a/okama/__init__.py b/okama/__init__.py
index fd296d9..1e4db89 100644
--- a/okama/__init__.py
+++ b/okama/__init__.py
@@ -20,13 +20,16 @@
 
 """
 
-from okama.assets import Asset, AssetList, Portfolio
+from okama.assets import Asset, AssetList
+from okama.portfolio import Portfolio
 from okama.macro import Inflation, Rate
-from okama.frontier import EfficientFrontier
-from okama.frontier_reb import EfficientFrontierReb
+from okama.frontier.multi_period import EfficientFrontierReb
 from okama.plots import Plots
-from okama.data import QueryData, API, search, namespaces, assets_namespaces, macro_namespaces
+from okama.api.data_queries import QueryData
+from okama.api.search import search
+from okama.api.api_methods import API
+from okama.api.namespaces import namespaces, assets_namespaces, macro_namespaces, symbols_in_namespace
 from okama.helpers import Float, Frame, Rebalance, Date
 import okama.settings
 
-__version__ = '0.92'
+__version__ = '0.93'
diff --git a/okama/api/__init__.py b/okama/api/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/okama/data.py b/okama/api/api_methods.py
similarity index 53%
rename from okama/data.py
rename to okama/api/api_methods.py
index 12f9cdd..e876147 100644
--- a/okama/data.py
+++ b/okama/api/api_methods.py
@@ -1,128 +1,6 @@
-from typing import Dict
-from functools import lru_cache
-
-from io import StringIO
-import json
-
 import requests
-import pandas as pd
-import numpy as np
-
-from .settings import default_ticker
-
-
-def search(search_string: str) -> json:
-    string_response = API.search(search_string)
-    return json.loads(string_response)
-
-
-@lru_cache()
-def get_namespaces():
-    string_response = API.get_namespaces()
-    return json.loads(string_response)
-
-
-@lru_cache()
-def get_assets_namespaces():
-    string_response = API.get_assets_namespaces()
-    return json.loads(string_response)
-
-
-@lru_cache()
-def get_macro_namespaces():
-    string_response = API.get_macro_namespaces()
-    return json.loads(string_response)
 
-
-@lru_cache()
-def no_dividends_namespaces():
-    string_response = API.get_no_dividends_namespaces()
-    return json.loads(string_response)
-
-
-class QueryData:
-    """
-    Set of methods to select a source and get_ts the data.
-    """
-
-    @staticmethod
-    def get_symbol_info(symbol: str) -> Dict[str, str]:
-        json_input = API.get_symbol_info(symbol)
-        return json.loads(json_input)
-
-    @staticmethod
-    def csv_to_series(csv_input: str, period: str) -> pd.Series:
-        ts = pd.read_csv(StringIO(csv_input),
-                         delimiter=',',
-                         index_col=0,
-                         parse_dates=[0],
-                         dtype={1: np.float64},
-                         engine='python')
-        if not ts.empty:
-            ts.index = ts.index.to_period(period.upper())
-            ts = ts.squeeze('columns')
-        return ts
-
-    @staticmethod
-    def get_macro_ts(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01') -> pd.Series:
-        """
-        Requests API for Macroeconomic indicators time series (monthly data).
-        - Inflation time series
-        - Bank rates time series
-        """
-        csv_input = API.get_macro(symbol=symbol, first_date=first_date, last_date=last_date)
-        return QueryData.csv_to_series(csv_input, period='M')
-
-    @staticmethod
-    def get_ror(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
-        """
-        Requests API for rate of return time series.
-        """
-        csv_input = API.get_ror(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
-        return QueryData.csv_to_series(csv_input, period)
-
-    @staticmethod
-    def get_nav(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
-        """
-        NAV time series for funds (works for PIF namespace only).
-        """
-        csv_input = API.get_nav(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
-        return QueryData.csv_to_series(csv_input, period=period)
-
-    @staticmethod
-    def get_close(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
-        """
-        Gets 'close' time series for a ticker.
-        """
-        csv_input = API.get_close(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
-        return QueryData.csv_to_series(csv_input, period)
-
-    @staticmethod
-    def get_adj_close(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
-        """
-        Gets 'adjusted close' time series for a ticker.
-        """
-        csv_input = API.get_adjusted_close(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
-        return QueryData.csv_to_series(csv_input, period)
-
-    @staticmethod
-    def get_dividends(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01',) -> pd.Series:
-        """
-        Dividends time series daily data (dividend payment day should be considered).
-        """
-        if symbol.split('.', 1)[-1] not in no_dividends_namespaces():
-            csv_input = API.get_dividends(symbol, first_date=first_date, last_date=last_date)
-            ts = QueryData.csv_to_series(csv_input, period='D')
-        else:
-            # make empty time series when no dividends
-            ts = pd.Series(dtype=float)
-            ts.rename(symbol, inplace=True)
-        return ts
-
-    @staticmethod
-    def get_live_price(symbol: str) -> float:
-        price = API.get_live_price(symbol)
-        return float(price)
+from ..settings import default_ticker, default_namespace
 
 
 class API:
@@ -240,6 +118,10 @@ def get_macro(cls,
     def get_namespaces(cls):
         return cls.connect(endpoint=cls.endpoint_namespaces, symbol='')
 
+    @classmethod
+    def get_symbols_in_namespace(cls, namespace: str = default_namespace):
+        return cls.connect(endpoint=cls.endpoint_namespaces, symbol=namespace)
+
     @classmethod
     def get_assets_namespaces(cls):
         return cls.connect(endpoint=cls.endpoint_assets_namespaces, symbol='')
@@ -263,8 +145,3 @@ def search(cls, search_string: str):
     @classmethod
     def get_live_price(cls, symbol: str):
         return cls.connect(endpoint=cls.endpoint_live_price, symbol=symbol)
-
-
-namespaces = get_namespaces()
-assets_namespaces = get_assets_namespaces()
-macro_namespaces = get_macro_namespaces()
\ No newline at end of file
diff --git a/okama/api/data_queries.py b/okama/api/data_queries.py
new file mode 100644
index 0000000..3d86961
--- /dev/null
+++ b/okama/api/data_queries.py
@@ -0,0 +1,95 @@
+from typing import Dict
+
+from io import StringIO
+import json
+
+import pandas as pd
+import numpy as np
+
+from .api_methods import API
+from .namespaces import no_dividends_namespaces
+
+
+class QueryData:
+    """
+    Set of methods to get symbols data from API.
+    """
+
+    @staticmethod
+    def get_symbol_info(symbol: str) -> Dict[str, str]:
+        json_input = API.get_symbol_info(symbol)
+        return json.loads(json_input)
+
+    @staticmethod
+    def csv_to_series(csv_input: str, period: str) -> pd.Series:
+        ts = pd.read_csv(StringIO(csv_input),
+                         delimiter=',',
+                         index_col=0,
+                         parse_dates=[0],
+                         dtype={1: np.float64},
+                         engine='python')
+        if not ts.empty:
+            ts.index = ts.index.to_period(period.upper())
+            ts = ts.squeeze('columns')
+        return ts
+
+    @staticmethod
+    def get_macro_ts(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01') -> pd.Series:
+        """
+        Requests API for Macroeconomic indicators time series (monthly data).
+        - Inflation time series
+        - Bank rates time series
+        """
+        csv_input = API.get_macro(symbol=symbol, first_date=first_date, last_date=last_date)
+        return QueryData.csv_to_series(csv_input, period='M')
+
+    @staticmethod
+    def get_ror(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
+        """
+        Requests API for rate of return time series.
+        """
+        csv_input = API.get_ror(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
+        return QueryData.csv_to_series(csv_input, period)
+
+    @staticmethod
+    def get_nav(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
+        """
+        NAV time series for funds (works for PIF namespace only).
+        """
+        csv_input = API.get_nav(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
+        return QueryData.csv_to_series(csv_input, period=period)
+
+    @staticmethod
+    def get_close(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
+        """
+        Gets 'close' time series for a ticker.
+        """
+        csv_input = API.get_close(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
+        return QueryData.csv_to_series(csv_input, period)
+
+    @staticmethod
+    def get_adj_close(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01', period='M') -> pd.Series:
+        """
+        Gets 'adjusted close' time series for a ticker.
+        """
+        csv_input = API.get_adjusted_close(symbol=symbol, first_date=first_date, last_date=last_date, period=period)
+        return QueryData.csv_to_series(csv_input, period)
+
+    @staticmethod
+    def get_dividends(symbol: str, first_date: str = '1913-01-01', last_date: str = '2100-01-01',) -> pd.Series:
+        """
+        Dividends time series daily data (dividend payment day should be considered).
+        """
+        if symbol.split('.', 1)[-1] not in no_dividends_namespaces():
+            csv_input = API.get_dividends(symbol, first_date=first_date, last_date=last_date)
+            ts = QueryData.csv_to_series(csv_input, period='D')
+        else:
+            # make empty time series when no dividends
+            ts = pd.Series(dtype=float)
+            ts.rename(symbol, inplace=True)
+        return ts
+
+    @staticmethod
+    def get_live_price(symbol: str) -> float:
+        price = API.get_live_price(symbol)
+        return float(price)
diff --git a/okama/api/namespaces.py b/okama/api/namespaces.py
new file mode 100644
index 0000000..347c29f
--- /dev/null
+++ b/okama/api/namespaces.py
@@ -0,0 +1,44 @@
+import json
+from functools import lru_cache
+
+import pandas as pd
+
+from .api_methods import API
+from ..settings import default_namespace
+
+
+@lru_cache()
+def get_namespaces():
+    string_response = API.get_namespaces()
+    return json.loads(string_response)
+
+
+@lru_cache()
+def symbols_in_namespace(namespace: str = default_namespace):
+    string_response = API.get_symbols_in_namespace(namespace.upper())
+    list_of_symbols = json.loads(string_response)
+    df = pd.DataFrame(list_of_symbols[1:], columns=list_of_symbols[0])
+    return df.astype('string', copy=False)
+
+
+@lru_cache()
+def get_assets_namespaces():
+    string_response = API.get_assets_namespaces()
+    return json.loads(string_response)
+
+
+@lru_cache()
+def get_macro_namespaces():
+    string_response = API.get_macro_namespaces()
+    return json.loads(string_response)
+
+
+@lru_cache()
+def no_dividends_namespaces():
+    string_response = API.get_no_dividends_namespaces()
+    return json.loads(string_response)
+
+
+namespaces = get_namespaces()
+assets_namespaces = get_assets_namespaces()
+macro_namespaces = get_macro_namespaces()
diff --git a/okama/api/search.py b/okama/api/search.py
new file mode 100644
index 0000000..1f401a5
--- /dev/null
+++ b/okama/api/search.py
@@ -0,0 +1,8 @@
+import json
+
+from .api_methods import API
+
+
+def search(search_string: str) -> json:
+    string_response = API.search(search_string)
+    return json.loads(string_response)
\ No newline at end of file
diff --git a/okama/assets.py b/okama/assets.py
index b7aa278..bd16ba9 100644
--- a/okama/assets.py
+++ b/okama/assets.py
@@ -1,14 +1,13 @@
-from typing import Union, Optional, List, Tuple, Dict
+from typing import Union, Optional, List, Dict
 
 import pandas as pd
 import numpy as np
-import scipy.stats
-from matplotlib import pyplot as plt
 
 from .macro import Inflation
-from .helpers import Float, Frame, Rebalance, Date, Index
+from .helpers import Float, Frame, Date, Index
 from .settings import default_ticker, PeriodLength, _MONTHS_PER_YEAR
-from .data import QueryData, get_assets_namespaces
+from .api.data_queries import QueryData
+from .api.namespaces import get_assets_namespaces
 
 
 class Asset:
@@ -674,659 +673,3 @@ def kstest(self, distr: str = 'norm') -> dict:
             Low statistic numbers correspond to normal distribution.
         """
         return Frame.kstest_dataframe(self.ror, distr=distr)
-
-
-class Portfolio:
-    """
-    Implementation of investment portfolio.
-    Arguments are similar to AssetList (weights are added), but different behavior.
-    Works with monthly end of day historical rate of return data.
-    """
-    def __init__(self,
-                 symbols: Optional[List[str]] = None, *,
-                 first_date: Optional[str] = None,
-                 last_date: Optional[str] = None,
-                 ccy: str = 'USD',
-                 inflation: bool = True,
-                 weights: Optional[List[float]] = None):
-        self._list: AssetList = AssetList(symbols=symbols, first_date=first_date, last_date=last_date,
-                                          ccy=ccy, inflation=inflation)
-        self.currency: str = self._list.currency.name
-        self._ror: pd.DataFrame = self._list.ror
-        self.symbols: List[str] = self._list.symbols
-        self.tickers: List[str] = [x.split(".", 1)[0] for x in self.symbols]
-        self.names: Dict[str, str] = self._list.names
-        self._weights = None
-        self.weights = weights
-        self.assets_weights = dict(zip(self.symbols, self.weights))
-        self.assets_first_dates: Dict[str, pd.Timestamp] = self._list.assets_first_dates
-        self.assets_last_dates: Dict[str, pd.Timestamp] = self._list.assets_last_dates
-        self.first_date = self._list.first_date
-        self.last_date = self._list.last_date
-        self.period_length = self._list.period_length
-        self.pl = PeriodLength(self.returns_ts.shape[0] // _MONTHS_PER_YEAR, self.returns_ts.shape[0] % _MONTHS_PER_YEAR)
-        self._pl_txt = f'{self.pl.years} years, {self.pl.months} months'
-        if inflation:
-            self.inflation = self._list.inflation
-            self.inflation_ts: pd.Series = self._list.inflation_ts
-
-    def __repr__(self):
-        dic = {
-            'symbols': self.symbols,
-            'weights': self.weights,
-            'currency': self.currency,
-            'first date': self.first_date.strftime("%Y-%m"),
-            'last_date': self.last_date.strftime("%Y-%m"),
-            'period length': self._pl_txt
-        }
-        return repr(pd.Series(dic))
-
-    def __len__(self):
-        return len(self.symbols)
-
-    @property
-    def weights(self):
-        return self._weights
-
-    @weights.setter
-    def weights(self, weights: list):
-        if weights is None:
-            # Equally weighted portfolio
-            n = len(self.symbols)  # number of assets
-            weights = list(np.repeat(1/n, n))
-        else:
-            Frame.weights_sum_is_one(weights)
-            if len(weights) != len(self.symbols):
-                raise Exception(f'Number of tickers ({len(self.symbols)}) should be equal '
-                                f'to the weights number ({len(weights)})')
-        self._weights = weights
-
-    @property
-    def returns_ts(self) -> pd.Series:
-        """
-        Rate of return time series for portfolio.
-        Returns:
-            pd.Series
-        """
-        s = Frame.get_portfolio_return_ts(self.weights, self._ror)
-        s.rename('portfolio', inplace=True)
-        return s
-
-    @property
-    def wealth_index(self) -> pd.DataFrame:
-        if hasattr(self, 'inflation'):
-            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
-        else:
-            df = self.returns_ts
-        df = Frame.get_wealth_indexes(df)
-        if isinstance(df, pd.Series):  # return should always be DataFrame
-            df = df.to_frame()
-            df.rename({1: 'portfolio'}, axis='columns', inplace=True)
-        return df
-
-    @property
-    def wealth_index_with_assets(self) -> pd.Series:
-        if hasattr(self, 'inflation'):
-            df = pd.concat([self.returns_ts, self._ror, self.inflation_ts], axis=1, join='inner', copy='false')
-        else:
-            df = pd.concat([self.returns_ts, self._ror], axis=1, join='inner', copy='false')
-        return Frame.get_wealth_indexes(df)
-
-    def get_rebalanced_portfolio_return_ts(self, period='year') -> pd.Series:
-        return Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror, period=period)
-
-    @property
-    def mean_return_monthly(self) -> float:
-        return Frame.get_portfolio_mean_return(self.weights, self._ror)
-
-    @property
-    def mean_return_annual(self) -> float:
-        return Float.annualize_return(self.mean_return_monthly)
-
-    @property
-    def cagr(self) -> Union[pd.Series, float]:
-        if hasattr(self, 'inflation'):
-            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
-        else:
-            df = self.returns_ts
-        return Frame.get_cagr(df)
-
-    @property
-    def annual_return_ts(self) -> pd.DataFrame:
-        return Frame.get_annual_return_ts_from_monthly(self.returns_ts)
-
-    @property
-    def dividend_yield(self) -> pd.DataFrame:
-        """
-        Calculates dividend yield time series in all base currencies of portfolio assets.
-        For every currency dividend yield is a weighted sum of the assets dividend yields.
-        """
-        div_yield_assets = self._list.dividend_yield
-        currencies_dict = self._list.currencies
-        if 'asset list' in currencies_dict:
-            del currencies_dict['asset list']
-        currencies_list = list(set(currencies_dict.values()))
-        div_yield_df = pd.DataFrame(dtype=float)
-        for currency in currencies_list:
-            assets_with_the_same_currency = [x for x in currencies_dict if currencies_dict[x] == currency]
-            df = div_yield_assets[assets_with_the_same_currency]
-            weights = [self.assets_weights[k] for k in self.assets_weights if k in assets_with_the_same_currency]
-            weighted_weights = np.asarray(weights) / np.asarray(weights).sum()
-            div_yield_series = Frame.get_portfolio_return_ts(weighted_weights, df)
-            div_yield_series.rename(currency, inplace=True)
-            div_yield_df = pd.concat([div_yield_df, div_yield_series], axis=1)
-        return div_yield_df
-
-    @property
-    def real_mean_return(self) -> float:
-        if not hasattr(self, 'inflation'):
-            raise Exception('Real Return is not defined. Set inflation=True to calculate.')
-        infl_mean = Float.annualize_return(self.inflation_ts.mean())
-        ror_mean = Float.annualize_return(self.returns_ts.mean())
-        return (1. + ror_mean) / (1. + infl_mean) - 1.
-
-    @property
-    def real_cagr(self) -> float:
-        if not hasattr(self, 'inflation'):
-            raise Exception('Real Return is not defined. Set inflation=True to calculate.')
-        infl_cagr = Frame.get_cagr(self.inflation_ts)
-        ror_cagr = Frame.get_cagr(self.returns_ts)
-        return (1. + ror_cagr) / (1. + infl_cagr) - 1.
-
-    @property
-    def risk_monthly(self) -> float:
-        return Frame.get_portfolio_risk(self.weights, self._ror)
-
-    @property
-    def risk_annual(self) -> float:
-        return Float.annualize_risk(self.risk_monthly, self.mean_return_monthly)
-
-    @property
-    def semideviation_monthly(self) -> float:
-        return Frame.get_semideviation(self.returns_ts)
-
-    @property
-    def semideviation_annual(self) -> float:
-        return Frame.get_semideviation(self.returns_ts) * 12 ** 0.5
-
-    def get_var_historic(self, level=5) -> float:
-        rolling = self.returns_ts.rolling(12).apply(Frame.get_cagr)
-        return Frame.get_var_historic(rolling, level)
-
-    def get_cvar_historic(self, level=5) -> float:
-        rolling = self.returns_ts.rolling(12).apply(Frame.get_cagr)
-        return Frame.get_cvar_historic(rolling, level)
-
-    @property
-    def drawdowns(self) -> pd.Series:
-        return Frame.get_drawdowns(self.returns_ts)
-
-    def describe(self, years: Tuple[int] = (1, 5, 10)) -> pd.DataFrame:
-        """
-        Generate descriptive statistics for a given list of tickers.
-        Statistics includes:
-        - YTD compound return
-        - CAGR for a given list of periods
-        - risk (std) for a full period
-        - CVAR for a full period
-        - max drawdowns (and dates) for a full period
-        TODO: add dividend yield
-        """
-        description = pd.DataFrame()
-        dt0 = self.last_date
-        if hasattr(self, 'inflation'):
-            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
-        else:
-            df = self.returns_ts
-        # YTD return
-        year = dt0.year
-        ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror[str(year):], period='none')
-        value = Frame.get_compound_return(ts)
-        if hasattr(self, 'inflation'):
-            ts = df[str(year):].loc[:, self.inflation]
-            inflation = Frame.get_compound_return(ts)
-            row = {'portfolio': value, self.inflation: inflation}
-        else:
-            row = {'portfolio': value}
-        row.update({'period': 'YTD'})
-        row.update({'rebalancing': 'Not rebalanced'})
-        row.update({'property': 'compound return'})
-        description = description.append(row, ignore_index=True)
-        # CAGR for a list of periods (rebalanced 1 month)
-        for i in years:
-            dt = Date.subtract_years(dt0, i)
-            if dt >= self.first_date:
-                ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror[dt:], period='year')
-                value = Frame.get_cagr(ts)
-                if hasattr(self, 'inflation'):
-                    ts = df[dt:].loc[:, self.inflation]
-                    inflation = Frame.get_cagr(ts)
-                    row = {'portfolio': value, self.inflation: inflation}
-                else:
-                    row = {'portfolio': value}
-            else:
-                row = {x: None for x in df.columns}
-            row.update({'period': f'{i} years'})
-            row.update({'rebalancing': '1 year'})
-            row.update({'property': 'CAGR'})
-            description = description.append(row, ignore_index=True)
-        # CAGR for full period (rebalanced 1 year)
-        ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror, period='year')
-        value = Frame.get_cagr(ts)
-        if hasattr(self, 'inflation'):
-            ts = df.loc[:, self.inflation]
-            full_inflation = Frame.get_cagr(ts)  # full period inflation is required for following calc
-            row = {'portfolio': value, self.inflation: full_inflation}
-        else:
-            row = {'portfolio': value}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 year'})
-        row.update({'property': 'CAGR'})
-        description = description.append(row, ignore_index=True)
-        # CAGR rebalanced 1 month
-        value = self.cagr
-        if hasattr(self, 'inflation'):
-            row = value.to_dict()
-            full_inflation = value.loc[self.inflation]  # full period inflation is required for following calc
-        else:
-            row = {'portfolio': value}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 month'})
-        row.update({'property': 'CAGR'})
-        description = description.append(row, ignore_index=True)
-        # CAGR not rebalanced
-        value = Frame.get_cagr(self.get_rebalanced_portfolio_return_ts(period='none'))
-        if hasattr(self, 'inflation'):
-            row = {'portfolio': value, self.inflation: full_inflation}
-        else:
-            row = {'portfolio': value}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': 'Not rebalanced'})
-        row.update({'property': 'CAGR'})
-        description = description.append(row, ignore_index=True)
-        # risk (rebalanced 1 month)
-        row = {'portfolio': self.risk_annual}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 month'})
-        row.update({'property': 'Risk'})
-        description = description.append(row, ignore_index=True)
-        # CVAR (rebalanced 1 month)
-        row = {'portfolio': self.get_cvar_historic()}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 month'})
-        row.update({'property': 'CVAR'})
-        description = description.append(row, ignore_index=True)
-        # max drawdowns (rebalanced 1 month)
-        row = {'portfolio': self.drawdowns.min()}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 month'})
-        row.update({'property': 'Max drawdown'})
-        description = description.append(row, ignore_index=True)
-        # max drawdowns dates
-        row = {'portfolio': self.drawdowns.idxmin()}
-        row.update({'period': f'{self.period_length} years'})
-        row.update({'rebalancing': '1 month'})
-        row.update({'property': 'Max drawdown date'})
-        description = description.append(row, ignore_index=True)
-        if hasattr(self, 'inflation'):
-            description.rename(columns={self.inflation: 'inflation'}, inplace=True)
-        description = Frame.change_columns_order(description, ['property', 'rebalancing', 'period', 'portfolio'])
-        return description
-
-    @property
-    def table(self) -> pd.DataFrame:
-        """
-        Returns security name - ticker - weight DataFrame table.
-        """
-        x = pd.DataFrame(data={'asset name': list(self.names.values()), 'ticker': list(self.names.keys())})
-        x['weights'] = self.weights
-        return x
-
-    def get_rolling_cagr(self, years: int = 1) -> pd.Series:
-        """
-        Rolling portfolio CAGR (annualized rate of return) time series.
-        TODO: check if self.period_length is below 1 year
-        """
-        rolling_return = (self.returns_ts + 1.).rolling(_MONTHS_PER_YEAR * years).apply(np.prod, raw=True) ** (1 / years) - 1.
-        rolling_return.dropna(inplace=True)
-        return rolling_return
-
-    # Forecasting
-
-    def _test_forecast_period(self, years):
-        max_period_years = round(self.period_length / 2)
-        if max_period_years < 1:
-            raise ValueError(f'Time series does not have enough history to forecast. '
-                             f'Period length is {self.period_length:.2f} years. At least 2 years are required.')
-        if not isinstance(years, int) or years == 0:
-            raise ValueError('years must be an integer number (not equal to zero).')
-        if years > max_period_years:
-            raise ValueError(f'Forecast period {years} years is not credible. '
-                             f'It should not exceed 1/2 of portfolio history period length {self.period_length / 2} years')
-
-    def percentile_inverse(self, distr: str = 'norm', years: int = 1, score: float = 0, n: Optional[int] = None) -> float:
-        """
-        Compute the percentile rank of a score relative to an array of CAGR values.
-        A percentile_inverse of, for example, 80% means that 80% of the scores in distr are below the given score.
-
-        Args:
-            distr: norm, lognorm, hist - distribution type (normal or lognormal) or hist for CAGR array from history
-            years: period length when CAGR is calculated
-            score: score that is compared to the elements in CAGR array.
-            n: number of random time series (for 'norm' or 'lognorm' only)
-
-        Returns:
-            Percentile-position of score (0-100) relative to distr.
-        """
-        if distr == 'hist':
-            cagr_distr = self.get_rolling_cagr(years)
-        elif distr in ['norm', 'lognorm']:
-            if not n:
-                n = 1000
-            cagr_distr = self._get_monte_carlo_cagr_distribution(distr=distr, years=years, n=n)
-        else:
-            raise ValueError('distr should be one of "norm", "lognorm", "hist".')
-        return scipy.stats.percentileofscore(cagr_distr, score, kind='rank')
-
-    def percentile_from_history(self, years: int, percentiles: List[int] = [10, 50, 90]) -> pd.DataFrame:
-        """
-        Calculate given percentiles for portfolio CAGR (annualized rolling returns) distribution from the historical data.
-        Each percentile is calculated for a period range from 1 year to 'years'.
-
-        years - max window size for rolling CAGR (limited with half history of period length).
-        percentiles - list of percentiles to be calculated
-        """
-        self._test_forecast_period(years)
-        period_range = range(1, years + 1)
-        returns_dict = {}
-        for percentile in percentiles:
-            percentile_returns_list = [self.get_rolling_cagr(years).quantile(percentile / 100) for years in period_range]
-            returns_dict.update({percentile: percentile_returns_list})
-        df = pd.DataFrame(returns_dict, index=list(period_range))
-        df.index.rename('years', inplace=True)
-        return df
-
-    def forecast_wealth_history(self, years: int = 1, percentiles: List[int] = [10, 50, 90]) -> pd.DataFrame:
-        """
-        Compute accumulated wealth for each CAGR derived by 'percentile_from_history' method.
-        CAGRs are taken from the historical data.
-
-        Initial portfolio wealth is adjusted to the last known historical value (from wealth_index). It is useful
-        for a chart with historical wealth index and forecasted values.
-
-        Args:
-            years:
-            percentiles:
-
-        Returns:
-            Dataframe of percentiles for period range from 1 to 'years'
-        """
-        first_value = self.wealth_index['portfolio'].values[-1]
-        percentile_returns = self.percentile_from_history(years=years, percentiles=percentiles)
-        return first_value * (percentile_returns + 1.).pow(percentile_returns.index.values, axis=0)
-
-    def _forecast_preparation(self, years: int):
-        self._test_forecast_period(years)
-        period_months = years * _MONTHS_PER_YEAR
-        # make periods index where the shape is max_period
-        start_period = self.last_date.to_period('M')
-        end_period = self.last_date.to_period('M') + period_months - 1
-        ts_index = pd.period_range(start_period, end_period, freq='M')
-        return period_months, ts_index
-
-    def forecast_monte_carlo_returns(self, distr: str = 'norm', years: int = 1, n: int = 100) -> pd.DataFrame:
-        """
-        Generates N random monthly returns time series with normal or lognormal distributions.
-        Forecast period should not exceed 1/2 of portfolio history period length.
-        """
-        period_months, ts_index = self._forecast_preparation(years)
-        # random returns
-        if distr == 'norm':
-            random_returns = np.random.normal(self.mean_return_monthly, self.risk_monthly, (period_months, n))
-        elif distr == 'lognorm':
-            std, loc, scale = scipy.stats.lognorm.fit(self.returns_ts)
-            random_returns = scipy.stats.lognorm(std, loc=loc, scale=scale).rvs(size=[period_months, n])
-        else:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        return pd.DataFrame(data=random_returns, index=ts_index)
-
-    def forecast_monte_carlo_wealth_indexes(self, distr: str = 'norm', years: int = 1, n: int = 100) -> pd.DataFrame:
-        """
-        Generates N future random wealth indexes.
-        Random distribution could be normal or lognormal.
-
-        First value for the forecasted wealth indexes is the last historical portfolio index value. It is useful
-        for a chart with historical wealth index and forecasted values.
-        """
-        if distr not in ['norm', 'lognorm']:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        return_ts = self.forecast_monte_carlo_returns(distr=distr, years=years, n=n)
-        first_value = self.wealth_index['portfolio'].values[-1]
-        return Frame.get_wealth_indexes(return_ts, first_value)
-
-    def _get_monte_carlo_cagr_distribution(self,
-                                           distr: str = 'norm',
-                                           years: int = 1,
-                                           n: int = 100,
-                                           ) -> pd.Series:
-        """
-        Generate random CAGR distribution.
-        CAGR is calculated for each of N future random returns time series.
-        Random distribution could be normal or lognormal.
-        """
-        if distr not in ['norm', 'lognorm']:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        return_ts = self.forecast_monte_carlo_returns(distr=distr, years=years, n=n)
-        return Frame.get_cagr(return_ts)
-
-    def forecast_monte_carlo_cagr(self,
-                                  distr: str = 'norm',
-                                  years: int = 1,
-                                  percentiles: List[int] = [10, 50, 90],
-                                  n: int = 10000,
-                                  ) -> pd.Series:
-        """
-        Calculate percentiles for forecasted CAGR distribution.
-        CAGR is calculated for each of N future random returns time series.
-        Random distribution could be normal or lognormal.
-        """
-        if distr not in ['norm', 'lognorm']:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        cagr_distr = self._get_monte_carlo_cagr_distribution(distr=distr, years=years, n=n)
-        results = {}
-        for percentile in percentiles:
-            value = cagr_distr.quantile(percentile / 100)
-            results.update({percentile: value})
-        return results
-
-    def forecast_wealth(self,
-                        distr: str = 'norm',
-                        years: int = 1,
-                        percentiles: List[int] = [10, 50, 90],
-                        today_value: Optional[int] = None,
-                        n: int = 1000,
-                        ) -> Dict[int, float]:
-        """
-        Calculate percentiles of forecasted random accumulated wealth distribution.
-        Random distribution could be normal or lognormal.
-
-        today_value - the value of portfolio today (before forecast period). If today_value is None
-        the last value of the historical wealth indexes is taken.
-        """
-        if distr == 'hist':
-            results = self.forecast_wealth_history(years=years, percentiles=percentiles).iloc[-1].to_dict()
-        elif distr in ['norm', 'lognorm']:
-            results = {}
-            wealth_indexes = self.forecast_monte_carlo_wealth_indexes(distr=distr, years=years, n=n)
-            for percentile in percentiles:
-                value = wealth_indexes.iloc[-1, :].quantile(percentile / 100)
-                results.update({percentile: value})
-        else:
-            raise ValueError('distr should be "norm", "lognorm" or "hist".')
-        if today_value:
-            modifier = today_value / self.wealth_index['portfolio'].values[-1]
-            results.update((x, y * modifier)for x, y in results.items())
-        return results
-
-    def plot_forecast(self,
-                      distr: str = 'norm',
-                      years: int = 5,
-                      percentiles: List[int] = [10, 50, 90],
-                      today_value: Optional[int] = None,
-                      n: int = 1000,
-                      figsize: Optional[tuple] = None,
-                      ):
-        """
-        Plots forecasted ranges of wealth indexes (lines) for a given set of percentiles.
-
-        distr - the distribution model type:
-            norm - normal distribution
-            lognorm - lognormal distribution
-            hist - percentiles are taken from historical data
-        today_value - the value of portfolio today (before forecast period)
-        n - number of random wealth time series used to calculate percentiles (not needed if distr='hist')
-        """
-        wealth = self.wealth_index
-        x1 = self.last_date
-        x2 = x1.replace(year=x1.year + years)
-        y_start_value = wealth['portfolio'].iloc[-1]
-        y_end_values = self.forecast_wealth(distr=distr,
-                                            years=years,
-                                            percentiles=percentiles,
-                                            n=n)
-        if today_value:
-            modifier = today_value / y_start_value
-            wealth *= modifier
-            y_start_value = y_start_value * modifier
-            y_end_values.update((x, y * modifier)for x, y in y_end_values.items())
-        fig, ax = plt.subplots(figsize=figsize)
-        ax.plot(wealth.index.to_timestamp(), wealth['portfolio'], linewidth=1, label='Historical data')
-        for percentile in percentiles:
-            x, y = [x1, x2], [y_start_value, y_end_values[percentile]]
-            if percentile == 50:
-                ax.plot(x, y, color='blue', linestyle='-', linewidth=2, label='Median')
-            else:
-                ax.plot(x, y, linestyle='dashed', linewidth=1, label=f'Percentile {percentile}')
-        ax.legend(loc='upper left')
-        return ax
-
-    def plot_forecast_monte_carlo(self,
-                                  distr: str = 'norm',
-                                  years: int = 1,
-                                  n: int = 20,
-                                  figsize: Optional[tuple] = None,
-                                  ):
-        """
-        Plots N random wealth indexes and historical wealth index.
-        Forecasted indexes are generated accorded to a given distribution (Monte Carlo simulation).
-        Normal and lognormal distributions could be used for Monte Carlo simulation.
-        """
-        s1 = self.wealth_index
-        s2 = self.forecast_monte_carlo_wealth_indexes(distr=distr, years=years, n=n)
-        s1['portfolio'].plot(legend=None, figsize=figsize)
-        for n in s2:
-            s2[n].plot(legend=None)
-
-    # distributions
-    @property
-    def skewness(self):
-        """
-        Compute expanding skewness of the return time series.
-        For normally distributed data, the skewness should be about zero.
-        A skewness value greater than zero means that there is more weight in the right tail of the distribution.
-        """
-        return Frame.skewness(self.returns_ts)
-
-    def skewness_rolling(self, window: int = 60):
-        """
-        Compute rolling skewness of the return time series.
-        For normally distributed data, the skewness should be about zero.
-        A skewness value greater than zero means that there is more weight in the right tail of the distribution.
-
-        window - the rolling window size in months (default is 5 years).
-        The window size should be at least 12 months.
-        """
-        return Frame.skewness_rolling(self.returns_ts, window=window)
-
-    @property
-    def kurtosis(self):
-        """
-        Calculate expanding Fisher (normalized) kurtosis time series for portfolio returns.
-        Kurtosis is the fourth central moment divided by the square of the variance.
-        Kurtosis should be close to zero for normal distribution.
-        """
-        return Frame.kurtosis(self.returns_ts)
-
-    def kurtosis_rolling(self, window: int = 60):
-        """
-        Calculate rolling Fisher (normalized) kurtosis time series for portfolio returns.
-        Kurtosis is the fourth central moment divided by the square of the variance.
-        Kurtosis should be close to zero for normal distribution.
-
-        window - the rolling window size in months (default is 5 years).
-        The window size should be at least 12 months.
-        """
-        return Frame.kurtosis_rolling(self.returns_ts, window=window)
-
-    @property
-    def jarque_bera(self):
-        """
-        Performs Jarque-Bera test for normality.
-        It shows whether the returns have the skewness and kurtosis matching a normal distribution.
-
-        Returns:
-            (The test statistic, The p-value for the hypothesis test)
-            Low statistic numbers correspond to normal distribution.
-        """
-        return Frame.jarque_bera_series(self.returns_ts)
-
-    def kstest(self, distr: str = 'norm') -> dict:
-        """
-        Performs Kolmogorov-Smirnov test on portfolio returns and evaluate goodness of fit.
-        Test works with normal and lognormal distributions.
-
-        Returns:
-            (The test statistic, The p-value for the hypothesis test)
-        """
-        return Frame.kstest_series(self.returns_ts, distr=distr)
-
-    def plot_percentiles_fit(self, distr: str = 'norm', figsize: Optional[tuple] = None):
-        """
-        Generates a probability plot of portfolio returns against percentiles of a specified
-        theoretical distribution (the normal distribution by default).
-        Works with normal and lognormal distributions.
-        """
-        plt.figure(figsize=figsize)
-        if distr == 'norm':
-            scipy.stats.probplot(self.returns_ts, dist=distr, plot=plt)
-        elif distr == 'lognorm':
-            scipy.stats.probplot(self.returns_ts, sparams=(scipy.stats.lognorm.fit(self.returns_ts)), dist=distr, plot=plt)
-        else:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        plt.show()
-
-    def plot_hist_fit(self, distr: str = 'norm', bins: int = None):
-        """
-        Plots historical distribution histogram and theoretical PDF (Probability Distribution Function).
-        Lognormal and normal distributions could be used.
-        """
-        data = self.returns_ts
-        # Plot the histogram
-        plt.hist(data, bins=bins, density=True, alpha=0.6, color='g')
-        # Plot the PDF.Probability Density Function
-        xmin, xmax = plt.xlim()
-        x = np.linspace(xmin, xmax, 100)
-        if distr == 'norm':  # Generate PDF
-            mu, std = scipy.stats.norm.fit(data)
-            p = scipy.stats.norm.pdf(x, mu, std)
-        elif distr == 'lognorm':
-            std, loc, scale = scipy.stats.lognorm.fit(data)
-            mu = np.log(scale)
-            p = scipy.stats.lognorm.pdf(x, std, loc, scale)
-        else:
-            raise ValueError('distr should be "norm" (default) or "lognorm".')
-        plt.plot(x, p, 'k', linewidth=2)
-        title = "Fit results: mu = %.3f,  std = %.3f" % (mu, std)
-        plt.title(title)
-        plt.show()
-
diff --git a/okama/frontier/__init__.py b/okama/frontier/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/okama/frontier_reb.py b/okama/frontier/multi_period.py
similarity index 99%
rename from okama/frontier_reb.py
rename to okama/frontier/multi_period.py
index 0cd6fb6..a783676 100644
--- a/okama/frontier_reb.py
+++ b/okama/frontier/multi_period.py
@@ -6,9 +6,9 @@
 
 from scipy.optimize import minimize
 
-from .helpers import Float, Frame, Rebalance
-from .assets import AssetList
-from .settings import _MONTHS_PER_YEAR
+from okama.helpers import Float, Frame, Rebalance
+from okama.assets import AssetList
+from okama.settings import _MONTHS_PER_YEAR
 
 
 class EfficientFrontierReb(AssetList):
diff --git a/okama/frontier.py b/okama/frontier/single_period.py
similarity index 99%
rename from okama/frontier.py
rename to okama/frontier/single_period.py
index d74af2e..2fd52ec 100644
--- a/okama/frontier.py
+++ b/okama/frontier/single_period.py
@@ -5,9 +5,9 @@
 
 from scipy.optimize import minimize
 
-from .assets import AssetList
-from .helpers import Float, Frame
-from .settings import default_tickers_list
+from ..assets import AssetList
+from ..helpers import Float, Frame
+from ..settings import default_tickers_list
 
 
 class EfficientFrontier(AssetList):
diff --git a/okama/macro.py b/okama/macro.py
index f2c7342..41fdcab 100644
--- a/okama/macro.py
+++ b/okama/macro.py
@@ -3,7 +3,8 @@
 import numpy as np
 import pandas as pd
 
-from okama.data import QueryData, get_macro_namespaces
+from okama.api.data_queries import QueryData
+from okama.api.namespaces import get_macro_namespaces
 from okama.helpers import Float, Frame, Date
 from okama.settings import default_macro, PeriodLength, _MONTHS_PER_YEAR
 
diff --git a/okama/plots.py b/okama/plots.py
index dc3147f..295349b 100644
--- a/okama/plots.py
+++ b/okama/plots.py
@@ -3,9 +3,9 @@
 
 from matplotlib import pyplot as plt
 
-from .assets import AssetList, Portfolio
+from .assets import AssetList
 from .helpers import Float
-from .frontier import EfficientFrontier
+from .frontier.single_period import EfficientFrontier
 from .settings import default_ticker
 
 
diff --git a/okama/portfolio.py b/okama/portfolio.py
new file mode 100644
index 0000000..714fc3f
--- /dev/null
+++ b/okama/portfolio.py
@@ -0,0 +1,665 @@
+from typing import Optional, List, Dict, Union, Tuple
+
+import numpy as np
+import pandas as pd
+import scipy.stats
+from matplotlib import pyplot as plt
+
+from .assets import AssetList
+from .helpers import Frame, Rebalance, Float, Date
+from .settings import PeriodLength, _MONTHS_PER_YEAR
+
+
+class Portfolio:
+    """
+    Implementation of investment portfolio.
+    Arguments are similar to AssetList (weights are added), but different behavior.
+    Works with monthly end of day historical rate of return data.
+    """
+    def __init__(self,
+                 symbols: Optional[List[str]] = None, *,
+                 first_date: Optional[str] = None,
+                 last_date: Optional[str] = None,
+                 ccy: str = 'USD',
+                 inflation: bool = True,
+                 weights: Optional[List[float]] = None):
+        self._list: AssetList = AssetList(symbols=symbols, first_date=first_date, last_date=last_date,
+                                          ccy=ccy, inflation=inflation)
+        self.currency: str = self._list.currency.name
+        self._ror: pd.DataFrame = self._list.ror
+        self.symbols: List[str] = self._list.symbols
+        self.tickers: List[str] = [x.split(".", 1)[0] for x in self.symbols]
+        self.names: Dict[str, str] = self._list.names
+        self._weights = None
+        self.weights = weights
+        self.assets_weights = dict(zip(self.symbols, self.weights))
+        self.assets_first_dates: Dict[str, pd.Timestamp] = self._list.assets_first_dates
+        self.assets_last_dates: Dict[str, pd.Timestamp] = self._list.assets_last_dates
+        self.first_date = self._list.first_date
+        self.last_date = self._list.last_date
+        self.period_length = self._list.period_length
+        self.pl = PeriodLength(self.returns_ts.shape[0] // _MONTHS_PER_YEAR, self.returns_ts.shape[0] % _MONTHS_PER_YEAR)
+        self._pl_txt = f'{self.pl.years} years, {self.pl.months} months'
+        if inflation:
+            self.inflation = self._list.inflation
+            self.inflation_ts: pd.Series = self._list.inflation_ts
+
+    def __repr__(self):
+        dic = {
+            'symbols': self.symbols,
+            'weights': self.weights,
+            'currency': self.currency,
+            'first date': self.first_date.strftime("%Y-%m"),
+            'last_date': self.last_date.strftime("%Y-%m"),
+            'period length': self._pl_txt
+        }
+        return repr(pd.Series(dic))
+
+    def __len__(self):
+        return len(self.symbols)
+
+    @property
+    def weights(self):
+        return self._weights
+
+    @weights.setter
+    def weights(self, weights: list):
+        if weights is None:
+            # Equally weighted portfolio
+            n = len(self.symbols)  # number of assets
+            weights = list(np.repeat(1/n, n))
+        else:
+            Frame.weights_sum_is_one(weights)
+            if len(weights) != len(self.symbols):
+                raise Exception(f'Number of tickers ({len(self.symbols)}) should be equal '
+                                f'to the weights number ({len(weights)})')
+        self._weights = weights
+
+    @property
+    def returns_ts(self) -> pd.Series:
+        """
+        Rate of return time series for portfolio.
+        Returns:
+            pd.Series
+        """
+        s = Frame.get_portfolio_return_ts(self.weights, self._ror)
+        s.rename('portfolio', inplace=True)
+        return s
+
+    @property
+    def wealth_index(self) -> pd.DataFrame:
+        if hasattr(self, 'inflation'):
+            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
+        else:
+            df = self.returns_ts
+        df = Frame.get_wealth_indexes(df)
+        if isinstance(df, pd.Series):  # return should always be DataFrame
+            df = df.to_frame()
+            df.rename({1: 'portfolio'}, axis='columns', inplace=True)
+        return df
+
+    @property
+    def wealth_index_with_assets(self) -> pd.Series:
+        if hasattr(self, 'inflation'):
+            df = pd.concat([self.returns_ts, self._ror, self.inflation_ts], axis=1, join='inner', copy='false')
+        else:
+            df = pd.concat([self.returns_ts, self._ror], axis=1, join='inner', copy='false')
+        return Frame.get_wealth_indexes(df)
+
+    def get_rebalanced_portfolio_return_ts(self, period='year') -> pd.Series:
+        return Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror, period=period)
+
+    @property
+    def mean_return_monthly(self) -> float:
+        return Frame.get_portfolio_mean_return(self.weights, self._ror)
+
+    @property
+    def mean_return_annual(self) -> float:
+        return Float.annualize_return(self.mean_return_monthly)
+
+    @property
+    def cagr(self) -> Union[pd.Series, float]:
+        if hasattr(self, 'inflation'):
+            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
+        else:
+            df = self.returns_ts
+        return Frame.get_cagr(df)
+
+    @property
+    def annual_return_ts(self) -> pd.DataFrame:
+        return Frame.get_annual_return_ts_from_monthly(self.returns_ts)
+
+    @property
+    def dividend_yield(self) -> pd.DataFrame:
+        """
+        Calculates dividend yield time series in all base currencies of portfolio assets.
+        For every currency dividend yield is a weighted sum of the assets dividend yields.
+        """
+        div_yield_assets = self._list.dividend_yield
+        currencies_dict = self._list.currencies
+        if 'asset list' in currencies_dict:
+            del currencies_dict['asset list']
+        currencies_list = list(set(currencies_dict.values()))
+        div_yield_df = pd.DataFrame(dtype=float)
+        for currency in currencies_list:
+            assets_with_the_same_currency = [x for x in currencies_dict if currencies_dict[x] == currency]
+            df = div_yield_assets[assets_with_the_same_currency]
+            weights = [self.assets_weights[k] for k in self.assets_weights if k in assets_with_the_same_currency]
+            weighted_weights = np.asarray(weights) / np.asarray(weights).sum()
+            div_yield_series = Frame.get_portfolio_return_ts(weighted_weights, df)
+            div_yield_series.rename(currency, inplace=True)
+            div_yield_df = pd.concat([div_yield_df, div_yield_series], axis=1)
+        return div_yield_df
+
+    @property
+    def real_mean_return(self) -> float:
+        if not hasattr(self, 'inflation'):
+            raise Exception('Real Return is not defined. Set inflation=True to calculate.')
+        infl_mean = Float.annualize_return(self.inflation_ts.mean())
+        ror_mean = Float.annualize_return(self.returns_ts.mean())
+        return (1. + ror_mean) / (1. + infl_mean) - 1.
+
+    @property
+    def real_cagr(self) -> float:
+        if not hasattr(self, 'inflation'):
+            raise Exception('Real Return is not defined. Set inflation=True to calculate.')
+        infl_cagr = Frame.get_cagr(self.inflation_ts)
+        ror_cagr = Frame.get_cagr(self.returns_ts)
+        return (1. + ror_cagr) / (1. + infl_cagr) - 1.
+
+    @property
+    def risk_monthly(self) -> float:
+        return Frame.get_portfolio_risk(self.weights, self._ror)
+
+    @property
+    def risk_annual(self) -> float:
+        return Float.annualize_risk(self.risk_monthly, self.mean_return_monthly)
+
+    @property
+    def semideviation_monthly(self) -> float:
+        return Frame.get_semideviation(self.returns_ts)
+
+    @property
+    def semideviation_annual(self) -> float:
+        return Frame.get_semideviation(self.returns_ts) * 12 ** 0.5
+
+    def get_var_historic(self, level=5) -> float:
+        rolling = self.returns_ts.rolling(12).apply(Frame.get_cagr)
+        return Frame.get_var_historic(rolling, level)
+
+    def get_cvar_historic(self, level=5) -> float:
+        rolling = self.returns_ts.rolling(12).apply(Frame.get_cagr)
+        return Frame.get_cvar_historic(rolling, level)
+
+    @property
+    def drawdowns(self) -> pd.Series:
+        return Frame.get_drawdowns(self.returns_ts)
+
+    def describe(self, years: Tuple[int] = (1, 5, 10)) -> pd.DataFrame:
+        """
+        Generate descriptive statistics for a given list of tickers.
+        Statistics includes:
+        - YTD compound return
+        - CAGR for a given list of periods
+        - risk (std) for a full period
+        - CVAR for a full period
+        - max drawdowns (and dates) for a full period
+        TODO: add dividend yield
+        """
+        description = pd.DataFrame()
+        dt0 = self.last_date
+        if hasattr(self, 'inflation'):
+            df = pd.concat([self.returns_ts, self.inflation_ts], axis=1, join='inner', copy='false')
+        else:
+            df = self.returns_ts
+        # YTD return
+        year = dt0.year
+        ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror[str(year):], period='none')
+        value = Frame.get_compound_return(ts)
+        if hasattr(self, 'inflation'):
+            ts = df[str(year):].loc[:, self.inflation]
+            inflation = Frame.get_compound_return(ts)
+            row = {'portfolio': value, self.inflation: inflation}
+        else:
+            row = {'portfolio': value}
+        row.update({'period': 'YTD'})
+        row.update({'rebalancing': 'Not rebalanced'})
+        row.update({'property': 'compound return'})
+        description = description.append(row, ignore_index=True)
+        # CAGR for a list of periods (rebalanced 1 month)
+        for i in years:
+            dt = Date.subtract_years(dt0, i)
+            if dt >= self.first_date:
+                ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror[dt:], period='year')
+                value = Frame.get_cagr(ts)
+                if hasattr(self, 'inflation'):
+                    ts = df[dt:].loc[:, self.inflation]
+                    inflation = Frame.get_cagr(ts)
+                    row = {'portfolio': value, self.inflation: inflation}
+                else:
+                    row = {'portfolio': value}
+            else:
+                row = {x: None for x in df.columns}
+            row.update({'period': f'{i} years'})
+            row.update({'rebalancing': '1 year'})
+            row.update({'property': 'CAGR'})
+            description = description.append(row, ignore_index=True)
+        # CAGR for full period (rebalanced 1 year)
+        ts = Rebalance.rebalanced_portfolio_return_ts(self.weights, self._ror, period='year')
+        value = Frame.get_cagr(ts)
+        if hasattr(self, 'inflation'):
+            ts = df.loc[:, self.inflation]
+            full_inflation = Frame.get_cagr(ts)  # full period inflation is required for following calc
+            row = {'portfolio': value, self.inflation: full_inflation}
+        else:
+            row = {'portfolio': value}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 year'})
+        row.update({'property': 'CAGR'})
+        description = description.append(row, ignore_index=True)
+        # CAGR rebalanced 1 month
+        value = self.cagr
+        if hasattr(self, 'inflation'):
+            row = value.to_dict()
+            full_inflation = value.loc[self.inflation]  # full period inflation is required for following calc
+        else:
+            row = {'portfolio': value}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 month'})
+        row.update({'property': 'CAGR'})
+        description = description.append(row, ignore_index=True)
+        # CAGR not rebalanced
+        value = Frame.get_cagr(self.get_rebalanced_portfolio_return_ts(period='none'))
+        if hasattr(self, 'inflation'):
+            row = {'portfolio': value, self.inflation: full_inflation}
+        else:
+            row = {'portfolio': value}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': 'Not rebalanced'})
+        row.update({'property': 'CAGR'})
+        description = description.append(row, ignore_index=True)
+        # risk (rebalanced 1 month)
+        row = {'portfolio': self.risk_annual}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 month'})
+        row.update({'property': 'Risk'})
+        description = description.append(row, ignore_index=True)
+        # CVAR (rebalanced 1 month)
+        row = {'portfolio': self.get_cvar_historic()}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 month'})
+        row.update({'property': 'CVAR'})
+        description = description.append(row, ignore_index=True)
+        # max drawdowns (rebalanced 1 month)
+        row = {'portfolio': self.drawdowns.min()}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 month'})
+        row.update({'property': 'Max drawdown'})
+        description = description.append(row, ignore_index=True)
+        # max drawdowns dates
+        row = {'portfolio': self.drawdowns.idxmin()}
+        row.update({'period': f'{self.period_length} years'})
+        row.update({'rebalancing': '1 month'})
+        row.update({'property': 'Max drawdown date'})
+        description = description.append(row, ignore_index=True)
+        if hasattr(self, 'inflation'):
+            description.rename(columns={self.inflation: 'inflation'}, inplace=True)
+        description = Frame.change_columns_order(description, ['property', 'rebalancing', 'period', 'portfolio'])
+        return description
+
+    @property
+    def table(self) -> pd.DataFrame:
+        """
+        Returns security name - ticker - weight DataFrame table.
+        """
+        x = pd.DataFrame(data={'asset name': list(self.names.values()), 'ticker': list(self.names.keys())})
+        x['weights'] = self.weights
+        return x
+
+    def get_rolling_cagr(self, years: int = 1) -> pd.Series:
+        """
+        Rolling portfolio CAGR (annualized rate of return) time series.
+        TODO: check if self.period_length is below 1 year
+        """
+        rolling_return = (self.returns_ts + 1.).rolling(_MONTHS_PER_YEAR * years).apply(np.prod, raw=True) ** (1 / years) - 1.
+        rolling_return.dropna(inplace=True)
+        return rolling_return
+
+    # Forecasting
+
+    def _test_forecast_period(self, years):
+        max_period_years = round(self.period_length / 2)
+        if max_period_years < 1:
+            raise ValueError(f'Time series does not have enough history to forecast. '
+                             f'Period length is {self.period_length:.2f} years. At least 2 years are required.')
+        if not isinstance(years, int) or years == 0:
+            raise ValueError('years must be an integer number (not equal to zero).')
+        if years > max_period_years:
+            raise ValueError(f'Forecast period {years} years is not credible. '
+                             f'It should not exceed 1/2 of portfolio history period length {self.period_length / 2} years')
+
+    def percentile_inverse(self, distr: str = 'norm', years: int = 1, score: float = 0, n: Optional[int] = None) -> float:
+        """
+        Compute the percentile rank of a score relative to an array of CAGR values.
+        A percentile_inverse of, for example, 80% means that 80% of the scores in distr are below the given score.
+
+        Args:
+            distr: norm, lognorm, hist - distribution type (normal or lognormal) or hist for CAGR array from history
+            years: period length when CAGR is calculated
+            score: score that is compared to the elements in CAGR array.
+            n: number of random time series (for 'norm' or 'lognorm' only)
+
+        Returns:
+            Percentile-position of score (0-100) relative to distr.
+        """
+        if distr == 'hist':
+            cagr_distr = self.get_rolling_cagr(years)
+        elif distr in ['norm', 'lognorm']:
+            if not n:
+                n = 1000
+            cagr_distr = self._get_monte_carlo_cagr_distribution(distr=distr, years=years, n=n)
+        else:
+            raise ValueError('distr should be one of "norm", "lognorm", "hist".')
+        return scipy.stats.percentileofscore(cagr_distr, score, kind='rank')
+
+    def percentile_from_history(self, years: int, percentiles: List[int] = [10, 50, 90]) -> pd.DataFrame:
+        """
+        Calculate given percentiles for portfolio CAGR (annualized rolling returns) distribution from the historical data.
+        Each percentile is calculated for a period range from 1 year to 'years'.
+
+        years - max window size for rolling CAGR (limited with half history of period length).
+        percentiles - list of percentiles to be calculated
+        """
+        self._test_forecast_period(years)
+        period_range = range(1, years + 1)
+        returns_dict = {}
+        for percentile in percentiles:
+            percentile_returns_list = [self.get_rolling_cagr(years).quantile(percentile / 100) for years in period_range]
+            returns_dict.update({percentile: percentile_returns_list})
+        df = pd.DataFrame(returns_dict, index=list(period_range))
+        df.index.rename('years', inplace=True)
+        return df
+
+    def forecast_wealth_history(self, years: int = 1, percentiles: List[int] = [10, 50, 90]) -> pd.DataFrame:
+        """
+        Compute accumulated wealth for each CAGR derived by 'percentile_from_history' method.
+        CAGRs are taken from the historical data.
+
+        Initial portfolio wealth is adjusted to the last known historical value (from wealth_index). It is useful
+        for a chart with historical wealth index and forecasted values.
+
+        Args:
+            years:
+            percentiles:
+
+        Returns:
+            Dataframe of percentiles for period range from 1 to 'years'
+        """
+        first_value = self.wealth_index['portfolio'].values[-1]
+        percentile_returns = self.percentile_from_history(years=years, percentiles=percentiles)
+        return first_value * (percentile_returns + 1.).pow(percentile_returns.index.values, axis=0)
+
+    def _forecast_preparation(self, years: int):
+        self._test_forecast_period(years)
+        period_months = years * _MONTHS_PER_YEAR
+        # make periods index where the shape is max_period
+        start_period = self.last_date.to_period('M')
+        end_period = self.last_date.to_period('M') + period_months - 1
+        ts_index = pd.period_range(start_period, end_period, freq='M')
+        return period_months, ts_index
+
+    def forecast_monte_carlo_returns(self, distr: str = 'norm', years: int = 1, n: int = 100) -> pd.DataFrame:
+        """
+        Generates N random monthly returns time series with normal or lognormal distributions.
+        Forecast period should not exceed 1/2 of portfolio history period length.
+        """
+        period_months, ts_index = self._forecast_preparation(years)
+        # random returns
+        if distr == 'norm':
+            random_returns = np.random.normal(self.mean_return_monthly, self.risk_monthly, (period_months, n))
+        elif distr == 'lognorm':
+            std, loc, scale = scipy.stats.lognorm.fit(self.returns_ts)
+            random_returns = scipy.stats.lognorm(std, loc=loc, scale=scale).rvs(size=[period_months, n])
+        else:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        return pd.DataFrame(data=random_returns, index=ts_index)
+
+    def forecast_monte_carlo_wealth_indexes(self, distr: str = 'norm', years: int = 1, n: int = 100) -> pd.DataFrame:
+        """
+        Generates N future random wealth indexes.
+        Random distribution could be normal or lognormal.
+
+        First value for the forecasted wealth indexes is the last historical portfolio index value. It is useful
+        for a chart with historical wealth index and forecasted values.
+        """
+        if distr not in ['norm', 'lognorm']:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        return_ts = self.forecast_monte_carlo_returns(distr=distr, years=years, n=n)
+        first_value = self.wealth_index['portfolio'].values[-1]
+        return Frame.get_wealth_indexes(return_ts, first_value)
+
+    def _get_monte_carlo_cagr_distribution(self,
+                                           distr: str = 'norm',
+                                           years: int = 1,
+                                           n: int = 100,
+                                           ) -> pd.Series:
+        """
+        Generate random CAGR distribution.
+        CAGR is calculated for each of N future random returns time series.
+        Random distribution could be normal or lognormal.
+        """
+        if distr not in ['norm', 'lognorm']:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        return_ts = self.forecast_monte_carlo_returns(distr=distr, years=years, n=n)
+        return Frame.get_cagr(return_ts)
+
+    def forecast_monte_carlo_cagr(self,
+                                  distr: str = 'norm',
+                                  years: int = 1,
+                                  percentiles: List[int] = [10, 50, 90],
+                                  n: int = 10000,
+                                  ) -> pd.Series:
+        """
+        Calculate percentiles for forecasted CAGR distribution.
+        CAGR is calculated for each of N future random returns time series.
+        Random distribution could be normal or lognormal.
+        """
+        if distr not in ['norm', 'lognorm']:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        cagr_distr = self._get_monte_carlo_cagr_distribution(distr=distr, years=years, n=n)
+        results = {}
+        for percentile in percentiles:
+            value = cagr_distr.quantile(percentile / 100)
+            results.update({percentile: value})
+        return results
+
+    def forecast_wealth(self,
+                        distr: str = 'norm',
+                        years: int = 1,
+                        percentiles: List[int] = [10, 50, 90],
+                        today_value: Optional[int] = None,
+                        n: int = 1000,
+                        ) -> Dict[int, float]:
+        """
+        Calculate percentiles of forecasted random accumulated wealth distribution.
+        Random distribution could be normal or lognormal.
+
+        today_value - the value of portfolio today (before forecast period). If today_value is None
+        the last value of the historical wealth indexes is taken.
+        """
+        if distr == 'hist':
+            results = self.forecast_wealth_history(years=years, percentiles=percentiles).iloc[-1].to_dict()
+        elif distr in ['norm', 'lognorm']:
+            results = {}
+            wealth_indexes = self.forecast_monte_carlo_wealth_indexes(distr=distr, years=years, n=n)
+            for percentile in percentiles:
+                value = wealth_indexes.iloc[-1, :].quantile(percentile / 100)
+                results.update({percentile: value})
+        else:
+            raise ValueError('distr should be "norm", "lognorm" or "hist".')
+        if today_value:
+            modifier = today_value / self.wealth_index['portfolio'].values[-1]
+            results.update((x, y * modifier)for x, y in results.items())
+        return results
+
+    def plot_forecast(self,
+                      distr: str = 'norm',
+                      years: int = 5,
+                      percentiles: List[int] = [10, 50, 90],
+                      today_value: Optional[int] = None,
+                      n: int = 1000,
+                      figsize: Optional[tuple] = None,
+                      ):
+        """
+        Plots forecasted ranges of wealth indexes (lines) for a given set of percentiles.
+
+        distr - the distribution model type:
+            norm - normal distribution
+            lognorm - lognormal distribution
+            hist - percentiles are taken from historical data
+        today_value - the value of portfolio today (before forecast period)
+        n - number of random wealth time series used to calculate percentiles (not needed if distr='hist')
+        """
+        wealth = self.wealth_index
+        x1 = self.last_date
+        x2 = x1.replace(year=x1.year + years)
+        y_start_value = wealth['portfolio'].iloc[-1]
+        y_end_values = self.forecast_wealth(distr=distr,
+                                            years=years,
+                                            percentiles=percentiles,
+                                            n=n)
+        if today_value:
+            modifier = today_value / y_start_value
+            wealth *= modifier
+            y_start_value = y_start_value * modifier
+            y_end_values.update((x, y * modifier)for x, y in y_end_values.items())
+        fig, ax = plt.subplots(figsize=figsize)
+        ax.plot(wealth.index.to_timestamp(), wealth['portfolio'], linewidth=1, label='Historical data')
+        for percentile in percentiles:
+            x, y = [x1, x2], [y_start_value, y_end_values[percentile]]
+            if percentile == 50:
+                ax.plot(x, y, color='blue', linestyle='-', linewidth=2, label='Median')
+            else:
+                ax.plot(x, y, linestyle='dashed', linewidth=1, label=f'Percentile {percentile}')
+        ax.legend(loc='upper left')
+        return ax
+
+    def plot_forecast_monte_carlo(self,
+                                  distr: str = 'norm',
+                                  years: int = 1,
+                                  n: int = 20,
+                                  figsize: Optional[tuple] = None,
+                                  ):
+        """
+        Plots N random wealth indexes and historical wealth index.
+        Forecasted indexes are generated accorded to a given distribution (Monte Carlo simulation).
+        Normal and lognormal distributions could be used for Monte Carlo simulation.
+        """
+        s1 = self.wealth_index
+        s2 = self.forecast_monte_carlo_wealth_indexes(distr=distr, years=years, n=n)
+        s1['portfolio'].plot(legend=None, figsize=figsize)
+        for n in s2:
+            s2[n].plot(legend=None)
+
+    # distributions
+    @property
+    def skewness(self):
+        """
+        Compute expanding skewness of the return time series.
+        For normally distributed data, the skewness should be about zero.
+        A skewness value greater than zero means that there is more weight in the right tail of the distribution.
+        """
+        return Frame.skewness(self.returns_ts)
+
+    def skewness_rolling(self, window: int = 60):
+        """
+        Compute rolling skewness of the return time series.
+        For normally distributed data, the skewness should be about zero.
+        A skewness value greater than zero means that there is more weight in the right tail of the distribution.
+
+        window - the rolling window size in months (default is 5 years).
+        The window size should be at least 12 months.
+        """
+        return Frame.skewness_rolling(self.returns_ts, window=window)
+
+    @property
+    def kurtosis(self):
+        """
+        Calculate expanding Fisher (normalized) kurtosis time series for portfolio returns.
+        Kurtosis is the fourth central moment divided by the square of the variance.
+        Kurtosis should be close to zero for normal distribution.
+        """
+        return Frame.kurtosis(self.returns_ts)
+
+    def kurtosis_rolling(self, window: int = 60):
+        """
+        Calculate rolling Fisher (normalized) kurtosis time series for portfolio returns.
+        Kurtosis is the fourth central moment divided by the square of the variance.
+        Kurtosis should be close to zero for normal distribution.
+
+        window - the rolling window size in months (default is 5 years).
+        The window size should be at least 12 months.
+        """
+        return Frame.kurtosis_rolling(self.returns_ts, window=window)
+
+    @property
+    def jarque_bera(self):
+        """
+        Performs Jarque-Bera test for normality.
+        It shows whether the returns have the skewness and kurtosis matching a normal distribution.
+
+        Returns:
+            (The test statistic, The p-value for the hypothesis test)
+            Low statistic numbers correspond to normal distribution.
+        """
+        return Frame.jarque_bera_series(self.returns_ts)
+
+    def kstest(self, distr: str = 'norm') -> dict:
+        """
+        Performs Kolmogorov-Smirnov test on portfolio returns and evaluate goodness of fit.
+        Test works with normal and lognormal distributions.
+
+        Returns:
+            (The test statistic, The p-value for the hypothesis test)
+        """
+        return Frame.kstest_series(self.returns_ts, distr=distr)
+
+    def plot_percentiles_fit(self, distr: str = 'norm', figsize: Optional[tuple] = None):
+        """
+        Generates a probability plot of portfolio returns against percentiles of a specified
+        theoretical distribution (the normal distribution by default).
+        Works with normal and lognormal distributions.
+        """
+        plt.figure(figsize=figsize)
+        if distr == 'norm':
+            scipy.stats.probplot(self.returns_ts, dist=distr, plot=plt)
+        elif distr == 'lognorm':
+            scipy.stats.probplot(self.returns_ts, sparams=(scipy.stats.lognorm.fit(self.returns_ts)), dist=distr, plot=plt)
+        else:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        plt.show()
+
+    def plot_hist_fit(self, distr: str = 'norm', bins: int = None):
+        """
+        Plots historical distribution histogram and theoretical PDF (Probability Distribution Function).
+        Lognormal and normal distributions could be used.
+        """
+        data = self.returns_ts
+        # Plot the histogram
+        plt.hist(data, bins=bins, density=True, alpha=0.6, color='g')
+        # Plot the PDF.Probability Density Function
+        xmin, xmax = plt.xlim()
+        x = np.linspace(xmin, xmax, 100)
+        if distr == 'norm':  # Generate PDF
+            mu, std = scipy.stats.norm.fit(data)
+            p = scipy.stats.norm.pdf(x, mu, std)
+        elif distr == 'lognorm':
+            std, loc, scale = scipy.stats.lognorm.fit(data)
+            mu = np.log(scale)
+            p = scipy.stats.lognorm.pdf(x, std, loc, scale)
+        else:
+            raise ValueError('distr should be "norm" (default) or "lognorm".')
+        plt.plot(x, p, 'k', linewidth=2)
+        title = "Fit results: mu = %.3f,  std = %.3f" % (mu, std)
+        plt.title(title)
+        plt.show()
diff --git a/okama/settings.py b/okama/settings.py
index da6ddb0..9a525dd 100644
--- a/okama/settings.py
+++ b/okama/settings.py
@@ -1,7 +1,8 @@
 from collections import namedtuple
 
 default_ticker = 'SPY.US'
-default_tickers_list = ['SPY.US', 'BND.US']  # required in frontier.py
+default_namespace = 'US'
+default_tickers_list = ['SPY.US', 'BND.US']  # required in single_period.py
 default_macro = 'RUB.INFL'
 
 _MONTHS_PER_YEAR = 12
diff --git a/tests/conftest.py b/tests/conftest.py
index dd898d0..d714701 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -1,8 +1,10 @@
 import pytest
-from okama.assets import Asset, AssetList, Portfolio
+from okama.assets import Asset, AssetList
+from okama.portfolio import Portfolio
 from okama.macro import Inflation, Rate
-from okama.frontier import EfficientFrontier
-from okama import Plots, EfficientFrontierReb
+from okama.frontier.single_period import EfficientFrontier
+from okama.frontier.multi_period import EfficientFrontierReb
+from okama.plots import Plots
 
 
 @pytest.fixture(scope='class')
diff --git a/tests/test_assets.py b/tests/test_assets.py
index bed5581..e592d15 100644
--- a/tests/test_assets.py
+++ b/tests/test_assets.py
@@ -5,7 +5,8 @@
 import pytest
 from pytest import approx
 from pytest import mark
-from okama.assets import Portfolio, AssetList
+from okama.assets import AssetList
+from okama import Portfolio
 
 
 @mark.asset
diff --git a/tests/test_frontier.py b/tests/test_frontier.py
index f728aba..9c1fa0a 100644
--- a/tests/test_frontier.py
+++ b/tests/test_frontier.py
@@ -5,7 +5,7 @@
 import numpy as np
 from numpy.testing import assert_allclose
 
-from okama import EfficientFrontier
+from okama.frontier.single_period import EfficientFrontier
 
 
 @mark.frontier
diff --git a/tests/test_frontier_reb.py b/tests/test_frontier_reb.py
index 86ca407..1dacb86 100644
--- a/tests/test_frontier_reb.py
+++ b/tests/test_frontier_reb.py
@@ -5,7 +5,7 @@
 import numpy as np
 from numpy.testing import assert_allclose
 
-from okama import EfficientFrontierReb
+from okama.frontier.multi_period import EfficientFrontierReb
 
 
 @mark.rebalance
diff --git a/tests/test_macro.py b/tests/test_macro.py
index 7069408..66f4a26 100644
--- a/tests/test_macro.py
+++ b/tests/test_macro.py
@@ -1,5 +1,4 @@
 import pandas as pd
-import pytest
 from pytest import mark
 from pytest import approx