diff --git a/notebooks/_config.yml b/notebooks/_config.yml
index bff1b65..98efec3 100644
--- a/notebooks/_config.yml
+++ b/notebooks/_config.yml
@@ -2,8 +2,8 @@
 # Learn more at https://jupyterbook.org/customize/config.html
 
 title: Quantflow library
-author: Quantmind Team
-copyright: "2024"
+author: <a href="https://quantmind.com">quantmind</a>
+copyright: "2014-2025"
 logo: assets/quantflow-light.svg
 
 # Force re-execution of notebooks on each build.
diff --git a/notebooks/data/fiscal_data.md b/notebooks/data/fiscal_data.md
new file mode 100644
index 0000000..54a6f84
--- /dev/null
+++ b/notebooks/data/fiscal_data.md
@@ -0,0 +1,31 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+    format_version: 0.13
+    jupytext_version: 1.16.6
+kernelspec:
+  display_name: Python 3 (ipykernel)
+  language: python
+  name: python3
+---
+
+# Fiscal Data
+
+```{code-cell} ipython3
+from quantflow.data.fiscal_data import FiscalData
+```
+
+```{code-cell} ipython3
+fd = FiscalData()
+```
+
+```{code-cell} ipython3
+data = await fd.securities()
+data
+```
+
+```{code-cell} ipython3
+
+```
diff --git a/notebooks/data/fmp.md b/notebooks/data/fmp.md
index 707753e..380731b 100644
--- a/notebooks/data/fmp.md
+++ b/notebooks/data/fmp.md
@@ -18,10 +18,25 @@ The library provides a python client for the [Financial Modelling Prep API](http
 
 ```{code-cell} ipython3
 from quantflow.data.fmp import FMP
+import pandas as pd
 cli = FMP()
 cli.url
 ```
 
+## Get path
+
+```{code-cell} ipython3
+d = await cli.get_path("stock-list")
+pd.DataFrame(d)
+```
+
+## Search
+
+```{code-cell} ipython3
+d = await cli.search("electric")
+pd.DataFrame(d)
+```
+
 ```{code-cell} ipython3
 stock = "KNOS.L"
 ```
@@ -41,7 +56,7 @@ c
 ## Executive trading
 
 ```{code-cell} ipython3
-stock = "KNOS.L"
+stock = "AAPL"
 ```
 
 ```{code-cell} ipython3
@@ -58,3 +73,8 @@ await cli.insider_trading(stock)
 c = await cli.news(stock)
 c
 ```
+
+```{code-cell} ipython3
+p = await cli.market_risk_premium()
+pd.DataFrame(p)
+```
diff --git a/poetry.lock b/poetry.lock
index 9c0bda6..5cf6d8e 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
 
 [[package]]
 name = "accessible-pygments"
@@ -53,15 +53,15 @@ log = ["python-json-logger (>=3.2.1,<4.0.0)"]
 
 [[package]]
 name = "aio-fluid"
-version = "1.5.0"
+version = "1.5.1"
 description = "Tools for backend python services"
 optional = true
 python-versions = "<4.0,>=3.11"
 groups = ["main"]
 markers = "python_version == \"3.11\" and extra == \"data\""
 files = [
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-    {file = "aio_fluid-1.5.0.tar.gz", hash = "sha256:8ff43a1dc951c0b4a6bff4f78f26c76a01c71c09000a30c23c83bca3a985987a"},
+    {file = "aio_fluid-1.5.1-py3-none-any.whl", hash = "sha256:f658b07417d9d2d5812aa6fa9f0c3af8ebe45a9c694bc1ee97b5060f0ccd13f2"},
+    {file = "aio_fluid-1.5.1.tar.gz", hash = "sha256:de4b75b4d6b0b34a558d942490eb72f1db41e599fe3f67031f9115930602faba"},
 ]
 
 [package.dependencies]
@@ -116,98 +116,103 @@ files = [
 
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+version = "3.12.6"
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+    {file = "aiohttp-3.12.6-cp39-cp39-win_amd64.whl", hash = "sha256:a68cb45d2b01f1599e762d382ddac7c6bd62c95210db339827e973a7ba61673c"},
+    {file = "aiohttp-3.12.6.tar.gz", hash = "sha256:37b1c6034a1e14764adad1829cd710543b1699d7985e1d336f0aa52a2dd76ba9"},
 ]
 
 [package.dependencies]
-aiohappyeyeballs = ">=2.3.0"
+aiohappyeyeballs = ">=2.5.0"
 aiosignal = ">=1.1.2"
 attrs = ">=17.3.0"
 frozenlist = ">=1.1.1"
@@ -216,7 +221,7 @@ propcache = ">=0.2.0"
 yarl = ">=1.17.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"", "brotlicffi ; platform_python_implementation != \"CPython\""]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns (>=3.3.0)", "brotlicffi ; platform_python_implementation != \"CPython\""]
 
 [[package]]
 name = "aiosignal"
@@ -498,14 +503,14 @@ dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)"
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.13.3"
+version = "4.13.4"
 description = "Screen-scraping library"
 optional = false
 python-versions = ">=3.7.0"
 groups = ["book"]
 files = [
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-    {file = "beautifulsoup4-4.13.3.tar.gz", hash = "sha256:1bd32405dacc920b42b83ba01644747ed77456a65760e285fbc47633ceddaf8b"},
+    {file = "beautifulsoup4-4.13.4-py3-none-any.whl", hash = "sha256:9bbbb14bfde9d79f38b8cd5f8c7c85f4b8f2523190ebed90e950a8dea4cb1c4b"},
+    {file = "beautifulsoup4-4.13.4.tar.gz", hash = "sha256:dbb3c4e1ceae6aefebdaf2423247260cd062430a410e38c66f2baa50a8437195"},
 ]
 
 [package.dependencies]
@@ -605,14 +610,14 @@ holidays = ["holidays (>=0.63,<0.64)"]
 
 [[package]]
 name = "certifi"
-version = "2025.1.31"
+version = "2025.4.26"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 groups = ["main", "book"]
 files = [
-    {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
-    {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
+    {file = "certifi-2025.4.26-py3-none-any.whl", hash = "sha256:30350364dfe371162649852c63336a15c70c6510c2ad5015b21c2345311805f3"},
+    {file = "certifi-2025.4.26.tar.gz", hash = "sha256:0a816057ea3cdefcef70270d2c515e4506bbc954f417fa5ade2021213bb8f0c6"},
 ]
 markers = {main = "extra == \"data\""}
 
@@ -698,116 +703,116 @@ pycparser = "*"
 
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 name = "charset-normalizer"
-version = "3.4.1"
+version = "3.4.2"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
 groups = ["book"]
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 markers = {main = "extra == \"data\" or extra == \"cli\""}
 
@@ -847,75 +852,79 @@ test = ["pytest"]
 
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 [[package]]
@@ -1194,86 +1215,68 @@ dev = ["flake8", "markdown", "twine", "wheel"]
 
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 [package.extras]
@@ -1282,135 +1285,135 @@ test = ["objgraph", "psutil"]
 
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 markers = {main = "extra == \"data\""}
 
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 ]
 
 [[package]]
@@ -1431,20 +1434,20 @@ python-dateutil = "*"
 
 [[package]]
 name = "httpcore"
-version = "1.0.7"
+version = "1.0.9"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
 groups = ["main", "book"]
 files = [
-    {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
-    {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
+    {file = "httpcore-1.0.9-py3-none-any.whl", hash = "sha256:2d400746a40668fc9dec9810239072b40b4484b640a8c38fd654a024c7a1bf55"},
+    {file = "httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8"},
 ]
 markers = {main = "extra == \"data\""}
 
 [package.dependencies]
 certifi = "*"
-h11 = ">=0.13,<0.15"
+h11 = ">=0.16"
 
 [package.extras]
 asyncio = ["anyio (>=4.0,<5.0)"]
@@ -1508,14 +1511,14 @@ files = [
 
 [[package]]
 name = "importlib-metadata"
-version = "8.6.1"
+version = "8.7.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["book"]
 files = [
-    {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash = "sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
-    {file = "importlib_metadata-8.6.1.tar.gz", hash = "sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
+    {file = "importlib_metadata-8.7.0-py3-none-any.whl", hash = "sha256:e5dd1551894c77868a30651cef00984d50e1002d06942a7101d34870c5f02afd"},
+    {file = "importlib_metadata-8.7.0.tar.gz", hash = "sha256:d13b81ad223b890aa16c5471f2ac3056cf76c5f10f82d6f9292f0b415f389000"},
 ]
 
 [package.dependencies]
@@ -1591,14 +1594,14 @@ test = ["flaky", "ipyparallel", "pre-commit", "pytest (>=7.0)", "pytest-asyncio
 
 [[package]]
 name = "ipython"
-version = "9.0.2"
+version = "9.2.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.11"
 groups = ["book"]
 files = [
-    {file = "ipython-9.0.2-py3-none-any.whl", hash = "sha256:143ef3ea6fb1e1bffb4c74b114051de653ffb7737a3f7ab1670e657ca6ae8c44"},
-    {file = "ipython-9.0.2.tar.gz", hash = "sha256:ec7b479e3e5656bf4f58c652c120494df1820f4f28f522fb7ca09e213c2aab52"},
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+    {file = "ipython-9.2.0.tar.gz", hash = "sha256:62a9373dbc12f28f9feaf4700d052195bf89806279fc8ca11f3f54017d04751b"},
 ]
 
 [package.dependencies]
@@ -1620,7 +1623,7 @@ black = ["black"]
 doc = ["docrepr", "exceptiongroup", "intersphinx_registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinx_toml (==0.0.4)", "typing_extensions"]
 matplotlib = ["matplotlib"]
 test = ["packaging", "pytest", "pytest-asyncio (<0.22)", "testpath"]
-test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
+test-extra = ["curio", "ipykernel", "ipython[test]", "jupyter_ai", "matplotlib (!=3.2.0)", "nbclient", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
 
 [[package]]
 name = "ipython-pygments-lexers"
@@ -1639,22 +1642,22 @@ pygments = "*"
 
 [[package]]
 name = "ipywidgets"
-version = "8.1.5"
+version = "8.1.7"
 description = "Jupyter interactive widgets"
 optional = false
 python-versions = ">=3.7"
 groups = ["book"]
 files = [
-    {file = "ipywidgets-8.1.5-py3-none-any.whl", hash = "sha256:3290f526f87ae6e77655555baba4f36681c555b8bdbbff430b70e52c34c86245"},
-    {file = "ipywidgets-8.1.5.tar.gz", hash = "sha256:870e43b1a35656a80c18c9503bbf2d16802db1cb487eec6fab27d683381dde17"},
+    {file = "ipywidgets-8.1.7-py3-none-any.whl", hash = "sha256:764f2602d25471c213919b8a1997df04bef869251db4ca8efba1b76b1bd9f7bb"},
+    {file = "ipywidgets-8.1.7.tar.gz", hash = "sha256:15f1ac050b9ccbefd45dccfbb2ef6bed0029d8278682d569d71b8dd96bee0376"},
 ]
 
 [package.dependencies]
 comm = ">=0.1.3"
 ipython = ">=6.1.0"
-jupyterlab-widgets = ">=3.0.12,<3.1.0"
+jupyterlab_widgets = ">=3.0.15,<3.1.0"
 traitlets = ">=4.3.1"
-widgetsnbextension = ">=4.0.12,<4.1.0"
+widgetsnbextension = ">=4.0.14,<4.1.0"
 
 [package.extras]
 test = ["ipykernel", "jsonschema", "pytest (>=3.6.0)", "pytest-cov", "pytz"]
@@ -1730,18 +1733,18 @@ i18n = ["Babel (>=2.7)"]
 
 [[package]]
 name = "json5"
-version = "0.10.0"
+version = "0.12.0"
 description = "A Python implementation of the JSON5 data format."
 optional = false
 python-versions = ">=3.8.0"
 groups = ["book"]
 files = [
-    {file = "json5-0.10.0-py3-none-any.whl", hash = "sha256:19b23410220a7271e8377f81ba8aacba2fdd56947fbb137ee5977cbe1f5e8dfa"},
-    {file = "json5-0.10.0.tar.gz", hash = "sha256:e66941c8f0a02026943c52c2eb34ebeb2a6f819a0be05920a6f5243cd30fd559"},
+    {file = "json5-0.12.0-py3-none-any.whl", hash = "sha256:6d37aa6c08b0609f16e1ec5ff94697e2cbbfbad5ac112afa05794da9ab7810db"},
+    {file = "json5-0.12.0.tar.gz", hash = "sha256:0b4b6ff56801a1c7dc817b0241bca4ce474a0e6a163bfef3fc594d3fd263ff3a"},
 ]
 
 [package.extras]
-dev = ["build (==1.2.2.post1)", "coverage (==7.5.3)", "mypy (==1.13.0)", "pip (==24.3.1)", "pylint (==3.2.3)", "ruff (==0.7.3)", "twine (==5.1.1)", "uv (==0.5.1)"]
+dev = ["build (==1.2.2.post1)", "coverage (==7.5.4) ; python_version < \"3.9\"", "coverage (==7.8.0) ; python_version >= \"3.9\"", "mypy (==1.14.1) ; python_version < \"3.9\"", "mypy (==1.15.0) ; python_version >= \"3.9\"", "pip (==25.0.1)", "pylint (==3.2.7) ; python_version < \"3.9\"", "pylint (==3.3.6) ; python_version >= \"3.9\"", "ruff (==0.11.2)", "twine (==6.1.0)", "uv (==0.6.11)"]
 
 [[package]]
 name = "jsonpointer"
@@ -1757,14 +1760,14 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.23.0"
+version = "4.24.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["book"]
 files = [
-    {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
-    {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
+    {file = "jsonschema-4.24.0-py3-none-any.whl", hash = "sha256:a462455f19f5faf404a7902952b6f0e3ce868f3ee09a359b05eca6673bd8412d"},
+    {file = "jsonschema-4.24.0.tar.gz", hash = "sha256:0b4e8069eb12aedfa881333004bccaec24ecef5a8a6a4b6df142b2cc9599d196"},
 ]
 
 [package.dependencies]
@@ -1787,14 +1790,14 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2024.10.1"
+version = "2025.4.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
 groups = ["book"]
 files = [
-    {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash = "sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
-    {file = "jsonschema_specifications-2024.10.1.tar.gz", hash = "sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
+    {file = "jsonschema_specifications-2025.4.1-py3-none-any.whl", hash = "sha256:4653bffbd6584f7de83a67e0d620ef16900b390ddc7939d56684d6c81e33f1af"},
+    {file = "jsonschema_specifications-2025.4.1.tar.gz", hash = "sha256:630159c9f4dbea161a6a2205c3011cc4f18ff381b189fff48bb39b9bf26ae608"},
 ]
 
 [package.dependencies]
@@ -1891,14 +1894,14 @@ test = ["coverage", "ipykernel (>=6.14)", "mypy", "paramiko ; sys_platform == \"
 
 [[package]]
 name = "jupyter-core"
-version = "5.7.2"
+version = "5.8.1"
 description = "Jupyter core package. A base package on which Jupyter projects rely."
 optional = false
 python-versions = ">=3.8"
 groups = ["book"]
 files = [
-    {file = "jupyter_core-5.7.2-py3-none-any.whl", hash = "sha256:4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409"},
-    {file = "jupyter_core-5.7.2.tar.gz", hash = "sha256:aa5f8d32bbf6b431ac830496da7392035d6f61b4f54872f15c4bd2a9c3f536d9"},
+    {file = "jupyter_core-5.8.1-py3-none-any.whl", hash = "sha256:c28d268fc90fb53f1338ded2eb410704c5449a358406e8a948b75706e24863d0"},
+    {file = "jupyter_core-5.8.1.tar.gz", hash = "sha256:0a5f9706f70e64786b75acba995988915ebd4601c8a52e534a40b51c95f59941"},
 ]
 
 [package.dependencies]
@@ -1907,8 +1910,8 @@ pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_
 traitlets = ">=5.3"
 
 [package.extras]
-docs = ["myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
-test = ["ipykernel", "pre-commit", "pytest (<8)", "pytest-cov", "pytest-timeout"]
+docs = ["intersphinx-registry", "myst-parser", "pydata-sphinx-theme", "sphinx-autodoc-typehints", "sphinxcontrib-spelling", "traitlets"]
+test = ["ipykernel", "pre-commit", "pytest (<9)", "pytest-cov", "pytest-timeout"]
 
 [[package]]
 name = "jupyter-events"
@@ -1954,14 +1957,14 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.15.0"
+version = "2.16.0"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.9"
 groups = ["book"]
 files = [
-    {file = "jupyter_server-2.15.0-py3-none-any.whl", hash = "sha256:872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3"},
-    {file = "jupyter_server-2.15.0.tar.gz", hash = "sha256:9d446b8697b4f7337a1b7cdcac40778babdd93ba614b6d68ab1c0c918f1c4084"},
+    {file = "jupyter_server-2.16.0-py3-none-any.whl", hash = "sha256:3d8db5be3bc64403b1c65b400a1d7f4647a5ce743f3b20dbdefe8ddb7b55af9e"},
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 ]
 
 [package.dependencies]
@@ -2011,14 +2014,14 @@ test = ["jupyter-server (>=2.0.0)", "pytest (>=7.0)", "pytest-jupyter[server] (>
 
 [[package]]
 name = "jupyterlab"
-version = "4.3.6"
+version = "4.4.3"
 description = "JupyterLab computational environment"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 groups = ["book"]
 files = [
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+    {file = "jupyterlab-4.4.3-py3-none-any.whl", hash = "sha256:164302f6d4b6c44773dfc38d585665a4db401a16e5296c37df5cba63904fbdea"},
+    {file = "jupyterlab-4.4.3.tar.gz", hash = "sha256:a94c32fd7f8b93e82a49dc70a6ec45a5c18281ca2a7228d12765e4e210e5bca2"},
 ]
 
 [package.dependencies]
@@ -2032,14 +2035,14 @@ jupyter-server = ">=2.4.0,<3"
 jupyterlab-server = ">=2.27.1,<3"
 notebook-shim = ">=0.2"
 packaging = "*"
-setuptools = ">=40.8.0"
+setuptools = ">=41.1.0"
 tornado = ">=6.2.0"
 traitlets = "*"
 
 [package.extras]
-dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.6.9)"]
-docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.1.0)", "sphinx-copybutton"]
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+dev = ["build", "bump2version", "coverage", "hatch", "pre-commit", "pytest-cov", "ruff (==0.11.4)"]
+docs = ["jsx-lexer", "myst-parser", "pydata-sphinx-theme (>=0.13.0)", "pytest", "pytest-check-links", "pytest-jupyter", "sphinx (>=1.8,<8.2.0)", "sphinx-copybutton"]
+docs-screenshots = ["altair (==5.5.0)", "ipython (==8.16.1)", "ipywidgets (==8.1.5)", "jupyterlab-geojson (==3.4.0)", "jupyterlab-language-pack-zh-cn (==4.3.post1)", "matplotlib (==3.10.0)", "nbconvert (>=7.0.0)", "pandas (==2.2.3)", "scipy (==1.15.1)", "vega-datasets (==0.9.0)"]
 test = ["coverage", "pytest (>=7.0)", "pytest-check-links (>=0.7)", "pytest-console-scripts", "pytest-cov", "pytest-jupyter (>=0.5.3)", "pytest-timeout", "pytest-tornasync", "requests", "requests-cache", "virtualenv"]
 upgrade-extension = ["copier (>=9,<10)", "jinja2-time (<0.3)", "pydantic (<3.0)", "pyyaml-include (<3.0)", "tomli-w (<2.0)"]
 
@@ -2083,26 +2086,26 @@ test = ["hatch", "ipykernel", "openapi-core (>=0.18.0,<0.19.0)", "openapi-spec-v
 
 [[package]]
 name = "jupyterlab-widgets"
-version = "3.0.13"
+version = "3.0.15"
 description = "Jupyter interactive widgets for JupyterLab"
 optional = false
 python-versions = ">=3.7"
 groups = ["book"]
 files = [
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 ]
 
 [[package]]
 name = "jupytext"
-version = "1.16.7"
+version = "1.17.1"
 description = "Jupyter notebooks as Markdown documents, Julia, Python or R scripts"
 optional = false
 python-versions = ">=3.8"
 groups = ["book"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2113,14 +2116,14 @@ packaging = "*"
 pyyaml = "*"
 
 [package.extras]
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+dev = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (>=1.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-asyncio", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist", "sphinx", "sphinx-gallery (>=0.8)"]
 docs = ["myst-parser", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"]
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-test-cov = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist"]
-test-external = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (>=1.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-randomly", "pytest-xdist", "sphinx (<8)", "sphinx-gallery (<0.8)"]
-test-functional = ["pytest", "pytest-randomly", "pytest-xdist"]
-test-integration = ["ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-randomly", "pytest-xdist"]
-test-ui = ["calysto-bash"]
+test = ["pytest", "pytest-asyncio", "pytest-randomly", "pytest-xdist"]
+test-cov = ["black", "ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-asyncio", "pytest-cov (>=2.6.1)", "pytest-randomly", "pytest-xdist"]
+test-external = ["autopep8", "black", "flake8", "gitpython", "ipykernel", "isort", "jupyter-fs (>=1.0)", "jupyter-server (!=2.11)", "nbconvert", "pre-commit", "pytest", "pytest-asyncio", "pytest-randomly", "pytest-xdist", "sphinx", "sphinx-gallery (>=0.8)"]
+test-functional = ["black", "pytest", "pytest-asyncio", "pytest-randomly", "pytest-xdist"]
+test-integration = ["black", "ipykernel", "jupyter-server (!=2.11)", "nbconvert", "pytest", "pytest-asyncio", "pytest-randomly", "pytest-xdist"]
+test-ui = ["bash-kernel"]
 
 [[package]]
 name = "latexcodec"
@@ -2332,151 +2335,164 @@ tests = ["pytest (>=4.6)"]
 
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-version = "6.2.0"
+version = "6.4.4"
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 python-versions = ">=3.9"
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 markers = "extra == \"data\""
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 [[package]]
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-version = "24.2"
+version = "25.0"
 description = "Core utilities for Python packages"
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 python-versions = ">=3.8"
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 [[package]]
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 [[package]]
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 python-versions = ">=3.9"
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 [package.extras]
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 [package.dependencies]
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 [[package]]
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+version = "3.0.51"
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 ]
 markers = {main = "extra == \"cli\""}
 
@@ -3189,54 +3205,67 @@ tests = ["pytest"]
 
 [[package]]
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 typing-inspection = ">=0.4.0"
 
@@ -3326,111 +3355,111 @@ timezone = ["tzdata ; python_version >= \"3.9\" and platform_system == \"Windows
 
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 name = "pydantic-core"
-version = "2.33.0"
+version = "2.33.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -4150,7 +4202,7 @@ numpy = ">=1.23.5,<2.5"
 
 [package.extras]
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 [[package]]
@@ -4172,14 +4224,14 @@ win32 = ["pywin32 ; sys_platform == \"win32\""]
 
 [[package]]
 name = "setuptools"
-version = "78.1.0"
+version = "80.9.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "book"]
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 markers = {main = "extra == \"cli\""}
 
@@ -4219,26 +4271,26 @@ markers = {main = "extra == \"data\""}
 
 [[package]]
 name = "snowballstemmer"
-version = "2.2.0"
-description = "This package provides 29 stemmers for 28 languages generated from Snowball algorithms."
+version = "3.0.1"
+description = "This package provides 32 stemmers for 30 languages generated from Snowball algorithms."
 optional = false
-python-versions = "*"
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*"
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 [[package]]
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-version = "2.6"
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 optional = false
 python-versions = ">=3.8"
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 [[package]]
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 [[package]]
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 [package.dependencies]
@@ -4794,14 +4846,14 @@ widechars = ["wcwidth"]
 
 [[package]]
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-version = "9.0.0"
+version = "9.1.2"
 description = "Retry code until it succeeds"
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-python-versions = ">=3.8"
+python-versions = ">=3.9"
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 [package.extras]
@@ -4864,23 +4916,24 @@ test = ["pytest", "ruff"]
 
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+version = "6.5.1"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
-python-versions = ">=3.8"
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 [[package]]
@@ -4901,38 +4954,38 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "types-python-dateutil"
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+version = "2.9.0.20250516"
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+python-versions = ">=3.9"
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 [[package]]
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 python-versions = ">=3.8"
 groups = ["main", "book", "dev"]
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 [[package]]
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 description = "Runtime typing introspection tools"
 optional = false
 python-versions = ">=3.9"
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 [package.dependencies]
@@ -4982,14 +5035,14 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.3.0"
+version = "2.4.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
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 ]
 
 [package.extras]
@@ -5089,124 +5142,146 @@ test = ["pytest (>=6.0.0)", "setuptools (>=65)"]
 
 [[package]]
 name = "widgetsnbextension"
-version = "4.0.13"
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 description = "Jupyter interactive widgets for Jupyter Notebook"
 optional = false
 python-versions = ">=3.7"
 groups = ["book"]
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 ]
 
 [[package]]
 name = "yarl"
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 description = "Yet another URL library"
 optional = true
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "extra == \"data\""
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+    {file = "yarl-1.20.0-py3-none-any.whl", hash = "sha256:5d0fe6af927a47a230f31e6004621fd0959eaa915fc62acfafa67ff7229a3124"},
+    {file = "yarl-1.20.0.tar.gz", hash = "sha256:686d51e51ee5dfe62dec86e4866ee0e9ed66df700d55c828a615640adc885307"},
 ]
 
 [package.dependencies]
 idna = ">=2.0"
 multidict = ">=4.0"
-propcache = ">=0.2.0"
+propcache = ">=0.2.1"
 
 [[package]]
 name = "zipp"
-version = "3.21.0"
+version = "3.22.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
 groups = ["book"]
 files = [
-    {file = "zipp-3.21.0-py3-none-any.whl", hash = "sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
-    {file = "zipp-3.21.0.tar.gz", hash = "sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+    {file = "zipp-3.22.0-py3-none-any.whl", hash = "sha256:fe208f65f2aca48b81f9e6fd8cf7b8b32c26375266b009b413d45306b6148343"},
+    {file = "zipp-3.22.0.tar.gz", hash = "sha256:dd2f28c3ce4bc67507bfd3781d21b7bb2be31103b51a4553ad7d90b84e57ace5"},
 ]
 
 [package.extras]
@@ -5214,7 +5289,7 @@ check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["big-O", "importlib-resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+test = ["big-O", "importlib_resources ; python_version < \"3.9\"", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
 type = ["pytest-mypy"]
 
 [extras]
@@ -5224,4 +5299,4 @@ data = ["aio-fluid"]
 [metadata]
 lock-version = "2.1"
 python-versions = ">=3.11"
-content-hash = "78eb0c1b70b66f0fb86defeb09ce6a535dd56d11de7df99b7dae0ec1464287af"
+content-hash = "3b8e107b174a749cdc1648713d8ce637d52c76890e1e5110a94f00094a39617a"
diff --git a/pyproject.toml b/pyproject.toml
index aa370e5..9675154 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "quantflow"
-version = "0.3.2"
+version = "0.3.3"
 description = "quantitative analysis"
 authors = ["Luca <luca@quantmind.com>"]
 license = "BSD-3-Clause"
@@ -17,21 +17,21 @@ scipy = "^1.14.1"
 pydantic = "^2.0.2"
 ccy = { version = "^1.7.1" }
 python-dotenv = "^1.0.1"
-polars = {version = "^1.11.0", extras=["pandas", "pyarrow"]}
+polars = { version = "^1.11.0", extras = ["pandas", "pyarrow"] }
 asciichartpy = { version = "^1.5.25", optional = true }
 prompt-toolkit = { version = "^3.0.43", optional = true }
-aio-fluid = {version = "^1.2.1", extras=["http"], optional = true}
-rich = {version = "^13.9.4", optional = true}
-click = {version = "^8.1.7", optional = true}
-holidays = {version = "^0.63", optional = true}
-async-cache = {version = "^1.1.1", optional = true}
+aio-fluid = { version = "^1.2.1", extras = ["http"], optional = true }
+rich = { version = "^13.9.4", optional = true }
+click = { version = "^8.1.7", optional = true }
+holidays = { version = "^0.63", optional = true }
+async-cache = { version = "^1.1.1", optional = true }
 
 [tool.poetry.group.dev.dependencies]
 black = "^25.1.0"
 pytest-cov = "^6.0.0"
 mypy = "^1.14.1"
 ghp-import = "^2.0.2"
-ruff = "^0.11.2"
+ruff = "^0.11.12"
 pytest-asyncio = "^0.26.0"
 isort = "^6.0.1"
 
@@ -44,7 +44,7 @@ cli = [
     "prompt-toolkit",
     "rich",
     "click",
-    "holidays"
+    "holidays",
 ]
 
 [tool.poetry.group.book]
@@ -74,9 +74,7 @@ formats = "ipynb,myst"
 
 [tool.pytest.ini_options]
 asyncio_mode = "auto"
-testpaths = [
-    "quantflow_tests"
-]
+testpaths = ["quantflow_tests"]
 
 [tool.isort]
 profile = "black"
@@ -102,7 +100,7 @@ module = [
     "IPython.*",
     "pandas.*",
     "plotly.*",
-    "scipy.*"
+    "scipy.*",
 ]
 ignore_missing_imports = true
 disallow_untyped_defs = false
diff --git a/quantflow/__init__.py b/quantflow/__init__.py
index ac6e0f2..ecc96a1 100644
--- a/quantflow/__init__.py
+++ b/quantflow/__init__.py
@@ -1,3 +1,3 @@
 """Quantitative analysis and pricing"""
 
-__version__ = "0.3.2"
+__version__ = "0.3.3"
diff --git a/quantflow/cli/commands/crypto.py b/quantflow/cli/commands/crypto.py
index c449d1f..33e35de 100644
--- a/quantflow/cli/commands/crypto.py
+++ b/quantflow/cli/commands/crypto.py
@@ -8,7 +8,7 @@
 from cache import AsyncTTL
 from ccy.cli.console import df_to_rich
 
-from quantflow.data.deribit import Deribit
+from quantflow.data.deribit import Deribit, InstrumentKind
 from quantflow.options.surface import VolSurface
 from quantflow.utils.numbers import round_to_step
 
@@ -24,13 +24,34 @@ def crypto() -> None:
         ctx.set_as_section()
 
 
+@crypto.command()
+@click.argument("currency")
+@click.option(
+    "-k",
+    "--kind",
+    type=click.Choice(list(InstrumentKind)),
+    default=InstrumentKind.spot.value,
+)
+def instruments(currency: str, kind: str) -> None:
+    """Provides information about instruments
+
+    Instruments for given cryptocurrency from Deribit API"""
+    ctx = QuantContext.current()
+    data = asyncio.run(get_instruments(ctx, currency, kind))
+    df = pd.DataFrame(data)
+    ctx.qf.print(df_to_rich(df))
+
+
 @crypto.command()
 @click.argument("currency")
 @options.length
 @options.height
 @options.chart
 def volatility(currency: str, length: int, height: int, chart: bool) -> None:
-    """Provides information about historical volatility for given cryptocurrency"""
+    """Provides information about historical volatility
+
+    Historical volatility for given cryptocurrency from Deribit API
+    """
     ctx = QuantContext.current()
     df = asyncio.run(get_volatility(ctx, currency))
     df["volatility"] = df["volatility"].map(lambda p: round_to_step(p, "0.01"))
@@ -109,9 +130,16 @@ def prices(symbol: str, height: int, length: int, chart: bool, frequency: str) -
         )
 
 
+async def get_instruments(ctx: QuantContext, currency: str, kind: str) -> list[dict]:
+    async with Deribit() as client:
+        return await client.get_instruments(
+            currency=currency, kind=InstrumentKind(kind)
+        )
+
+
 async def get_volatility(ctx: QuantContext, currency: str) -> pd.DataFrame:
     async with Deribit() as client:
-        return await client.get_volatility(params=dict(currency=currency))
+        return await client.get_volatility(currency)
 
 
 @AsyncTTL(time_to_live=10)
diff --git a/quantflow/cli/commands/stocks.py b/quantflow/cli/commands/stocks.py
index 9faece5..c05ee4f 100644
--- a/quantflow/cli/commands/stocks.py
+++ b/quantflow/cli/commands/stocks.py
@@ -24,6 +24,15 @@ def stocks() -> None:
         ctx.set_as_section()
 
 
+@stocks.command()
+def indices() -> None:
+    """Search companies"""
+    ctx = QuantContext.current()
+    data = asyncio.run(get_indices(ctx))
+    df = pd.DataFrame(data)
+    ctx.qf.print(df_to_rich(df))
+
+
 @stocks.command()
 @click.argument("symbol")
 def profile(symbol: str) -> None:
@@ -78,6 +87,11 @@ def sectors(period: str) -> None:
     ctx.qf.print(df_to_rich(df))
 
 
+async def get_indices(ctx: QuantContext) -> list[dict]:
+    async with ctx.fmp() as cli:
+        return await cli.indices()
+
+
 async def get_prices(ctx: QuantContext, symbol: str, frequency: str) -> pd.DataFrame:
     async with ctx.fmp() as cli:
         return await cli.prices(symbol, frequency)
diff --git a/quantflow/data/deribit.py b/quantflow/data/deribit.py
index 704e942..a1dec57 100644
--- a/quantflow/data/deribit.py
+++ b/quantflow/data/deribit.py
@@ -1,9 +1,12 @@
+import enum
+from dataclasses import dataclass
 from datetime import datetime, timezone
 from decimal import Decimal
 from typing import Any, cast
 
 import pandas as pd
 from dateutil.parser import parse
+from fluid.utils.data import compact_dict
 from fluid.utils.http_client import AioHttpClient, HttpResponse, HttpResponseError
 
 from quantflow.options.surface import VolSecurityType, VolSurfaceLoader
@@ -14,47 +17,79 @@ def parse_maturity(v: str) -> datetime:
     return parse(v).replace(tzinfo=timezone.utc, hour=8)
 
 
+class InstrumentKind(enum.StrEnum):
+    """Instrument kind for Deribit API."""
+
+    future = enum.auto()
+    option = enum.auto()
+    spot = enum.auto()
+    future_combo = enum.auto()
+    option_combo = enum.auto()
+
+
+@dataclass
 class Deribit(AioHttpClient):
     """Deribit API client
 
-    Fetch market and static data from `Deribit`_.
+    Fetch market and static data from `Deribit`_ API.
 
     .. _Deribit: https://docs.deribit.com/
     """
 
-    url = "https://www.deribit.com/api/v2"
+    url: str = "https://www.deribit.com/api/v2"
 
-    async def get_book_summary_by_instrument(self, **kw: Any) -> list[dict]:
-        kw.update(callback=self.to_result)
+    async def get_book_summary_by_instrument(
+        self,
+        instrument_name: str,
+        **kw: Any,
+    ) -> list[dict]:
+        """Get the book summary for a given instrument."""
+        kw.update(params=dict(instrument_name=instrument_name), callback=self.to_result)
         return cast(
             list[dict],
             await self.get_path("public/get_book_summary_by_instrument", **kw),
         )
 
-    async def get_book_summary_by_currency(self, **kw: Any) -> list[dict]:
-        kw.update(callback=self.to_result)
+    async def get_book_summary_by_currency(
+        self, currency: str, kind: InstrumentKind | None = None, **kw: Any
+    ) -> list[dict]:
+        """Get the book summary for a given currency."""
+        kw.update(
+            params=compact_dict(currency=currency, kind=kind), callback=self.to_result
+        )
         return cast(
             list[dict], await self.get_path("public/get_book_summary_by_currency", **kw)
         )
 
-    async def get_instruments(self, **kw: Any) -> list[dict]:
-        kw.update(callback=self.to_result)
+    async def get_instruments(
+        self,
+        currency: str,
+        kind: InstrumentKind | None = None,
+        expired: bool | None = None,
+        **kw: Any,
+    ) -> list[dict]:
+        """Get the list of instruments for a given currency."""
+        kw.update(
+            params=compact_dict(currency=currency, kind=kind, expired=expired),
+            callback=self.to_result,
+        )
         return cast(list[dict], await self.get_path("public/get_instruments", **kw))
 
-    async def get_volatility(self, **kw: Any) -> pd.DataFrame:
-        kw.update(callback=self.to_df)
+    async def get_volatility(self, currency: str, **kw: Any) -> pd.DataFrame:
+        """Provides information about historical volatility for given cryptocurrency"""
+        kw.update(params=dict(currency=currency), callback=self.to_df)
         return await self.get_path("public/get_historical_volatility", **kw)
 
     async def volatility_surface_loader(self, currency: str) -> VolSurfaceLoader:
         """Create a :class:`.VolSurfaceLoader` for a given crypto-currency"""
         loader = VolSurfaceLoader()
         futures = await self.get_book_summary_by_currency(
-            params=dict(currency=currency, kind="future")
+            currency=currency, kind=InstrumentKind.future
         )
         options = await self.get_book_summary_by_currency(
-            params=dict(currency=currency, kind="option")
+            currency=currency, kind=InstrumentKind.option
         )
-        instruments = await self.get_instruments(params=dict(currency=currency))
+        instruments = await self.get_instruments(currency=currency)
         instrument_map = {i["instrument_name"]: i for i in instruments}
         min_tick_size = Decimal("inf")
         for future in futures:
diff --git a/quantflow/data/fed.py b/quantflow/data/fed.py
index fd3e5d2..707ab0f 100644
--- a/quantflow/data/fed.py
+++ b/quantflow/data/fed.py
@@ -6,12 +6,7 @@
 import pandas as pd
 from fluid.utils.http_client import AioHttpClient
 
-URL = (
-    "https://www.federalreserve.gov/datadownload/Output.aspx?"
-    "rel=H15&series=bf17364827e38702b42a58cf8eaa3f78&lastobs=&"
-)
-
-maturities = [
+MATURITIES = (
     "month_1",
     "month_3",
     "month_6",
@@ -23,7 +18,7 @@
     "year_10",
     "year_20",
     "year_30",
-]
+)
 
 
 @dataclass
@@ -52,7 +47,7 @@ async def yield_curves(self, **params: Any) -> pd.DataFrame:
         params.update(series="bf17364827e38702b42a58cf8eaa3f78", rel="H15")
         data = await self._get_text(params)
         df = pd.read_csv(data, header=5, index_col=None, parse_dates=True)
-        df.columns = ["date"] + maturities  # type: ignore
+        df.columns = list(("date",) + MATURITIES)  # type: ignore
         df = df.set_index("date").replace("ND", np.nan)
         return df.dropna(axis=0, how="all").reset_index()
 
diff --git a/quantflow/data/fiscal_data.py b/quantflow/data/fiscal_data.py
new file mode 100644
index 0000000..2a7d434
--- /dev/null
+++ b/quantflow/data/fiscal_data.py
@@ -0,0 +1,42 @@
+from dataclasses import dataclass
+from datetime import date, timedelta
+
+import pandas as pd
+from fluid.utils.http_client import AioHttpClient
+
+from quantflow.utils.dates import as_date
+
+
+@dataclass
+class FiscalData(AioHttpClient):
+    """Fiscal Data API client.
+
+    THis class is used to fetch data from the
+    [fiscal data api](https://fiscaldata.treasury.gov/api-documentation/)
+    """
+
+    url: str = "https://api.fiscaldata.treasury.gov/services/api/fiscal_service"
+
+    async def securities(self, record_date: date | None = None) -> pd.DataFrame:
+        """Get treasury constant maturities rates"""
+        rd = as_date(record_date)
+        pm = rd.replace(day=1) - timedelta(days=1)
+        params = {"filter": f"record_date:eq:{pm.isoformat()}"}
+        data = await self.get_all("/v1/debt/mspd/mspd_table_3_market", params)
+        return pd.DataFrame(data)
+
+    async def get_all(self, path: str, params: dict[str, str]) -> list:
+        """Get all data from the API"""
+        next_url: str | None = f"{self.url}{path}"
+        full_data = []
+        while next_url:
+            payload = await self.get(next_url, params=params)
+            full_data.extend(payload["data"])
+            if links := payload.get("links"):
+                if next_path := links.get("next"):
+                    next_url = f"{self.url}{next_path}"
+                else:
+                    next_url = None
+            else:
+                next_url = None
+        return full_data
diff --git a/quantflow/data/fmp.py b/quantflow/data/fmp.py
index 360ebcb..ad16f05 100644
--- a/quantflow/data/fmp.py
+++ b/quantflow/data/fmp.py
@@ -20,10 +20,10 @@ class FMP(AioHttpClient):
 
     Fetch market and financial data from `Financial Modeling Prep`_.
 
-    .. _Financial Modeling Prep: https://financialmodelingprep.com/developer/docs/
+    .. _Financial Modeling Prep: https://site.financialmodelingprep.com/developer/docs/stable
     """
 
-    url: str = "https://financialmodelingprep.com/api"
+    url: str = "https://financialmodelingprep.com/stable"
     key: str = field(default_factory=lambda: os.environ.get("FMP_API_KEY", ""))
 
     class freq(StrEnum):
@@ -37,22 +37,28 @@ class freq(StrEnum):
         four_hour = "4hour"
         daily = ""
 
+    async def market_risk_premium(self) -> list[dict]:
+        """Market risk premium"""
+        return await self.get_path("market-risk-premium")
+
     async def stocks(self, **kw: Any) -> list[dict]:
-        return await self.get_path("v3/stock/list", **kw)
+        return await self.get_path("stock-list", **kw)
 
     async def etfs(self, **kw: Any) -> list[dict]:
-        return await self.get_path("v3/etf/list", **kw)
+        return await self.get_path("etf-list", **kw)
 
     async def indices(self, **kw: Any) -> list[dict]:
-        return await self.get_path("v3/quotes/index", **kw)
+        """Retrieve a comprehensive list of stock market indexes
+        across global exchanges"""
+        return await self.get_path("index-list", **kw)
 
     async def profile(self, *tickers: str, **kw: Any) -> list[dict]:
         """Company profile - minute"""
-        return await self.get_path(f"v3/profile/{self.join(*tickers)}", **kw)
+        return await self.get_path(f"profile/{self.join(*tickers)}", **kw)
 
     async def quote(self, *tickers: str, **kw: Any) -> list[dict]:
         """Company quote - real time"""
-        return await self.get_path(f"v3/quote/{self.join(*tickers)}", **kw)
+        return await self.get_path(f"quote/{self.join(*tickers)}", **kw)
 
     # calendars
 
@@ -68,28 +74,28 @@ async def dividends(
         if not to_date:
             to_date = date.today() + timedelta(days=7)
         params = {"from": isoformat(from_date), "to": isoformat(to_date)}
-        return await self.get_path("v3/stock_dividend_calendar", params=params, **kw)
+        return await self.get_path("stock_dividend_calendar", params=params, **kw)
 
     # Executives
 
     async def executives(self, ticker: str, **kw: Any) -> list[dict]:
         """Company quote - real time"""
-        return await self.get_path(f"v3/key-executives/{ticker}", **kw)
+        return await self.get_path(f"key-executives/{ticker}", **kw)
 
     async def insider_trading(self, ticker: str, **kw: Any) -> list[dict]:
         """Company Insider Trading"""
         return await self.get_path(
-            "v4/insider-trading", **self.params(dict(symbol=ticker), **kw)
+            "insider-trading", **self.params(dict(symbol=ticker), **kw)
         )
 
     # Rating
 
     async def rating(self, ticker: str, **kw: Any) -> list[dict]:
         """Company rating - real time"""
-        return await self.get_path(f"v3/rating/{ticker}", **kw)
+        return await self.get_path(f"rating/{ticker}", **kw)
 
     async def etf_holders(self, ticker: str, **kw: Any) -> list[dict]:
-        return await self.get_path(f"v3/etf-holder/{ticker}", **kw)
+        return await self.get_path(f"etf-holder/{ticker}", **kw)
 
     async def ratios(
         self,
@@ -102,7 +108,7 @@ async def ratios(
         the trailing 12 months"""
         path = "ratios" if period else "ratios-ttm"
         return await self.get_path(
-            f"v3/{path}/{ticker}",
+            f"{path}/{ticker}",
             **self.params(compact_dict(period=period, limit=limit), **kw),
         )
 
@@ -110,14 +116,14 @@ async def peers(self, *tickers: str, **kw: Any) -> list[dict]:
         """Stock peers based on sector, exchange and market cap"""
         kwargs = self.params(**kw)
         kwargs["params"]["symbol"] = self.join(*tickers)
-        return await self.get_path("v4/stock_peers", **kwargs)
+        return await self.get_path("stock_peers", **kwargs)
 
     async def news(self, *tickers: str, **kw: Any) -> list[dict]:
         """Company quote - real time"""
         kwargs = self.params(**kw)
         if tickers:
             kwargs["params"]["tickers"] = self.join(*tickers)
-        return await self.get_path("v3/stock_news", **kwargs)
+        return await self.get_path("stock_news", **kwargs)
 
     async def search(
         self,
@@ -125,10 +131,10 @@ async def search(
         *,
         exchange: str | None = None,
         limit: int | None = None,
-        ticker: bool = False,
+        symbol: bool = False,
         **kw: Any,
     ) -> list[dict]:
-        path = "v3/search-ticker" if ticker else "v3/search"
+        path = "search-symbol" if symbol else "search-name"
         return await self.get_path(
             path,
             **self.params(
@@ -137,15 +143,20 @@ async def search(
         )
 
     async def prices(
-        self, ticker: str, frequency: str = "", to_date: bool = False, **kw: Any
+        self,
+        symbol: str,
+        frequency: str = "",
+        to_date: bool = False,
+        **kw: Any,
     ) -> pd.DataFrame:
         """Historical prices, daily if frequency is not provided"""
-        base = (
-            "historical-price-full/"
+        path = (
+            "historical-price-eod/full"
             if not frequency
             else f"historical-chart/{frequency}"
         )
-        data = await self.get_path(f"v3/{base}/{ticker}", **kw)
+        kw.update(params=dict(symbol=symbol))
+        data = await self.get_path(path, **kw)
         if isinstance(data, dict):
             data = data.get("historical", [])
         df = pd.DataFrame(data)
@@ -164,25 +175,23 @@ async def sector_performance(
         **kw: Any,
     ) -> dict | list[dict]:
         if not from_date:
-            data = await self.get_path("v3/sectors-performance", params=params, **kw)
+            data = await self.get_path("sectors-performance", params=params, **kw)
             return {d["sector"]: Decimal(d["changesPercentage"][:-1]) for d in data}
         else:
             params = params.copy() if params is not None else {}
             params.update(compact_dict({"from": from_date, "to": to_date}))
             data = await self.get_path(
-                "v3/historical-sectors-performance", params=params, **kw
+                "historical-sectors-performance", params=params, **kw
             )
             ts = [dict(nice_sector_performance(d)) for d in data]
             return summary_sector_performance(ts) if summary else ts
 
     async def sector_pe(self, **kw: Any) -> list[dict]:
-        return cast(
-            list[dict], await self.get_path("v4/sector_price_earning_ratio", **kw)
-        )
+        return cast(list[dict], await self.get_path("sector_price_earning_ratio", **kw))
 
     # forex
     async def forex_list(self) -> list[dict]:
-        return await self.get_path("v3/symbol/available-forex-currency-pairs")
+        return await self.get_path("symbol/available-forex-currency-pairs")
 
     def historical_frequencies(self) -> dict:
         return {
@@ -201,7 +210,7 @@ def historical_frequencies_annulaized(self) -> dict:
 
     # Crypto
     async def crypto_list(self) -> list[dict]:
-        return await self.get_path("v3/symbol/available-cryptocurrencies")
+        return await self.get_path("symbol/available-cryptocurrencies")
 
     # Internals
     async def get_path(self, path: str, **kw: Any) -> list[dict]:
diff --git a/quantflow/utils/dates.py b/quantflow/utils/dates.py
index 63829c9..e443c1d 100644
--- a/quantflow/utils/dates.py
+++ b/quantflow/utils/dates.py
@@ -22,3 +22,12 @@ def isoformat(date: str | date) -> str:
 
 def start_of_day(dt: date | None = None) -> datetime:
     return as_utc(dt).replace(hour=0, minute=0, second=0, microsecond=0)
+
+
+def as_date(dt: date | None = None) -> date:
+    if dt is None:
+        return date.today()
+    elif isinstance(dt, datetime):
+        return dt.date()
+    else:
+        return dt
diff --git a/quantflow_tests/test_data.py b/quantflow_tests/test_data.py
index 8ef5d6c..0295bac 100644
--- a/quantflow_tests/test_data.py
+++ b/quantflow_tests/test_data.py
@@ -4,6 +4,7 @@
 from aiohttp.client_exceptions import ClientError
 
 from quantflow.data.fed import FederalReserve
+from quantflow.data.fiscal_data import FiscalData
 from quantflow.data.fmp import FMP
 
 pytestmark = pytest.mark.skipif(not FMP().key, reason="No FMP API key found")
@@ -50,3 +51,14 @@ async def test_fed_rates() -> None:
             assert df.shape[1] == 2
     except (ConnectionError, ClientError) as e:
         pytest.skip(f"Skipping test_fed due to network issue: {e}")
+
+
+async def __test_fiscal_data() -> None:
+    try:
+        async with FiscalData() as fd:
+            df = await fd.securities()
+            assert df is not None
+            assert df.shape[0] > 0
+            assert df.shape[1] == 2
+    except (ConnectionError, ClientError) as e:
+        pytest.skip(f"Skipping test_fed due to network issue: {e}")