diff --git a/.pymon b/.pymon
new file mode 100644
index 00000000..3ab85a23
Binary files /dev/null and b/.pymon differ
diff --git a/poetry.lock b/poetry.lock
index 17bcec6c..12db6e97 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2,98 +2,98 @@
 
 [[package]]
 name = "aiohttp"
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 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.6"
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 [package.dependencies]
@@ -219,113 +219,133 @@ files = [
 
 [[package]]
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 optional = false
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 [[package]]
@@ -562,15 +582,96 @@ mypy = ["contourpy[bokeh,docs]", "docutils-stubs", "mypy (==1.4.1)", "types-Pill
 test = ["Pillow", "contourpy[test-no-images]", "matplotlib"]
 test-no-images = ["pytest", "pytest-cov", "wurlitzer"]
 
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+]
+
+[package.extras]
+dev = ["black (==22.3.0)", "hypothesis", "numpy", "pytest (>=5.30)", "pytest-xdist"]
+
 [[package]]
 name = "cycler"
-version = "0.12.0"
+version = "0.12.1"
 description = "Composable style cycles"
 optional = true
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
@@ -687,13 +788,13 @@ cython = ["cython"]
 
 [[package]]
 name = "dash"
-version = "2.13.0"
+version = "2.14.0"
 description = "A Python framework for building reactive web-apps. Developed by Plotly."
 optional = true
 python-versions = ">=3.6"
 files = [
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 ]
 
 [package.dependencies]
@@ -702,6 +803,7 @@ dash-core-components = "2.0.0"
 dash-html-components = "2.0.0"
 dash-table = "5.0.0"
 Flask = ">=1.0.4,<2.3.0"
+importlib-metadata = {version = "*", markers = "python_version >= \"3.7\""}
 nest-asyncio = "*"
 plotly = ">=5.0.0"
 requests = "*"
@@ -712,7 +814,7 @@ Werkzeug = "<2.3.0"
 
 [package.extras]
 celery = ["celery[redis] (>=5.1.2)", "importlib-metadata (<5)", "redis (>=3.5.3)"]
-ci = ["black (==21.6b0)", "black (==22.3.0)", "dash-dangerously-set-inner-html", "dash-flow-example (==0.0.5)", "flake8 (==3.9.2)", "flaky (==3.7.0)", "flask-talisman (==1.0.0)", "isort (==4.3.21)", "jupyterlab (<4.0.0)", "mimesis", "mock (==4.0.3)", "numpy", "openpyxl", "orjson (==3.5.4)", "orjson (==3.6.7)", "pandas (==1.1.5)", "pandas (>=1.4.0)", "preconditions", "pyarrow", "pyarrow (<3)", "pylint (==2.13.5)", "pytest-mock", "pytest-rerunfailures", "pytest-sugar (==0.9.6)", "xlrd (<2)", "xlrd (>=2.0.1)"]
+ci = ["black (==21.6b0)", "black (==22.3.0)", "dash-dangerously-set-inner-html", "dash-flow-example (==0.0.5)", "flake8 (==3.9.2)", "flaky (==3.7.0)", "flask-talisman (==1.0.0)", "isort (==4.3.21)", "jupyterlab (<4.0.0)", "mimesis", "mock (==4.0.3)", "numpy (<=1.25.2)", "openpyxl", "orjson (==3.5.4)", "orjson (==3.6.7)", "pandas (==1.1.5)", "pandas (>=1.4.0)", "preconditions", "pyarrow", "pyarrow (<3)", "pylint (==2.13.5)", "pytest-mock", "pytest-rerunfailures", "pytest-sugar (==0.9.6)", "xlrd (<2)", "xlrd (>=2.0.1)"]
 compress = ["flask-compress"]
 dev = ["PyYAML (>=5.4.1)", "coloredlogs (>=15.0.1)", "fire (>=0.4.0)"]
 diskcache = ["diskcache (>=5.2.1)", "multiprocess (>=0.70.12)", "psutil (>=5.8.0)"]
@@ -990,13 +1092,13 @@ test = ["pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)"]
 
 [[package]]
 name = "eth-utils"
-version = "2.2.1"
+version = "2.2.2"
 description = "eth-utils: Common utility functions for python code that interacts with Ethereum"
 optional = false
 python-versions = ">=3.7,<4"
 files = [
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+    {file = "eth-utils-2.2.2.tar.gz", hash = "sha256:5ca6265177ce544d9d43cdf2272ae2227e5d6d9529c270bbb707d17339087101"},
+    {file = "eth_utils-2.2.2-py3-none-any.whl", hash = "sha256:2580a8065273f62ca1ec4c175228c52e626a5f1007e965d2117e5eca1a93cae8"},
 ]
 
 [package.dependencies]
@@ -1007,19 +1109,19 @@ toolz = {version = ">0.8.2", markers = "implementation_name == \"pypy\""}
 
 [package.extras]
 dev = ["black (>=23)", "build (>=0.9.0)", "bumpversion (>=0.5.3)", "eth-hash[pycryptodome]", "flake8 (==3.8.3)", "hypothesis (>=4.43.0)", "ipython", "isort (>=5.11.0)", "mypy (==0.971)", "pydocstyle (>=5.0.0)", "pytest (>=7.0.0)", "pytest-watch (>=4.1.0)", "pytest-xdist (>=2.4.0)", "sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)", "tox (>=4.0.0)", "twine", "types-setuptools", "wheel"]
-doc = ["sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"]
+docs = ["sphinx (>=5.0.0)", "sphinx-rtd-theme (>=1.0.0)", "towncrier (>=21,<22)"]
 lint = ["black (>=23)", "flake8 (==3.8.3)", "isort (>=5.11.0)", "mypy (==0.971)", "pydocstyle (>=5.0.0)", "types-setuptools"]
 test = ["hypothesis (>=4.43.0)", "mypy (==0.971)", "pytest (>=7.0.0)", "pytest-xdist (>=2.4.0)", "types-setuptools"]
 
 [[package]]
 name = "ethpm-types"
-version = "0.5.6"
+version = "0.5.8"
 description = "ethpm_types: Implementation of EIP-2678"
 optional = false
 python-versions = ">=3.8,<4"
 files = [
-    {file = "ethpm-types-0.5.6.tar.gz", hash = "sha256:4d8e7aaf69f605055f0c3681eaa03bab2dbc201a72d2493ef41db9aa3fcaa1ff"},
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 ]
 
 [package.dependencies]
@@ -1030,9 +1132,9 @@ pydantic = ">=1.10.7,<2.0.dev0 || >=2.3.dev0,<3"
 requests = ">=2.29.0,<3"
 
 [package.extras]
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+dev = ["IPython", "PyGithub (>=1.54,<2.0)", "black (>=23.9.1,<24)", "commitizen (>=2.40,<2.41)", "flake8 (>=6.1.0,<7)", "flake8-breakpoint (>=1.1.0)", "flake8-print (>=4.0.0)", "hypothesis (>=6.2.0,<7.0)", "hypothesis-jsonschema (==0.19.0)", "ipdb", "isort (>=5.10.1,<5.11)", "mypy (>=1.5.1,<2)", "pre-commit", "pysha3 (>=1.0.2,<2.0.0)", "pytest (>=6.0)", "pytest-cov", "pytest-watch", "pytest-xdist", "setuptools", "twine", "types-requests", "types-setuptools", "wheel"]
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+lint = ["black (>=23.9.1,<24)", "flake8 (>=6.1.0,<7)", "flake8-breakpoint (>=1.1.0)", "flake8-print (>=4.0.0)", "isort (>=5.10.1,<5.11)", "mypy (>=1.5.1,<2)", "types-requests", "types-setuptools"]
 release = ["setuptools", "twine", "wheel"]
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@@ -1102,6 +1204,58 @@ files = [
 [package.extras]
 tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
 
+[[package]]
+name = "fastparquet"
+version = "2023.8.0"
+description = "Python support for Parquet file format"
+optional = false
+python-versions = ">=3.8"
+files = [
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 [[package]]
 name = "filelock"
 version = "3.12.4"
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+python-versions = ">=3.8"
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+
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+dask = ["dask", "distributed"]
+devel = ["pytest", "pytest-cov"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
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+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
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+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
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+
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+
 [[package]]
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 version = "2.0.0"
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 [package.extras]
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 [[package]]
@@ -2999,108 +3209,110 @@ test = ["hypothesis (==5.19.0)", "pytest (>=6.2.5,<7)", "tox (>=2.9.1,<3)"]
 
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+    {file = "rpds_py-0.10.6.tar.gz", hash = "sha256:4ce5a708d65a8dbf3748d2474b580d606b1b9f91b5c6ab2a316e0b0cf7a4ba50"},
 ]
 
 [[package]]
@@ -3374,13 +3586,13 @@ seaborn = ">=0.10.1"
 
 [[package]]
 name = "traitlets"
-version = "5.10.1"
+version = "5.11.2"
 description = "Traitlets Python configuration system"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "traitlets-5.10.1-py3-none-any.whl", hash = "sha256:07ab9c5bf8a0499fd7b088ba51be899c90ffc936ffc797d7b6907fc516bcd116"},
-    {file = "traitlets-5.10.1.tar.gz", hash = "sha256:db9c4aa58139c3ba850101913915c042bdba86f7c8a0dda1c6f7f92c5da8e542"},
+    {file = "traitlets-5.11.2-py3-none-any.whl", hash = "sha256:98277f247f18b2c5cabaf4af369187754f4fb0e85911d473f72329db8a7f4fae"},
+    {file = "traitlets-5.11.2.tar.gz", hash = "sha256:7564b5bf8d38c40fa45498072bf4dc5e8346eb087bbf1e2ae2d8774f6a0f078e"},
 ]
 
 [package.extras]
@@ -3813,6 +4025,21 @@ files = [
 idna = ">=2.0"
 multidict = ">=4.0"
 
+[[package]]
+name = "zipp"
+version = "3.17.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = true
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.17.0-py3-none-any.whl", hash = "sha256:0e923e726174922dce09c53c59ad483ff7bbb8e572e00c7f7c46b88556409f31"},
+    {file = "zipp-3.17.0.tar.gz", hash = "sha256:84e64a1c28cf7e91ed2078bb8cc8c259cb19b76942096c8d7b84947690cabaf0"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
+
 [extras]
 backtrader = ["trading-strategy-backtrader"]
 direct-feed = ["dash", "typer", "web3-ethereum-defi"]
@@ -3822,4 +4049,4 @@ test = ["pytest-xdist"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10,<3.11"
-content-hash = "e8cfd5dbc34d1cc121f86655bbb23d140fc89c9c05b61b014e3d8cebf09cdf70"
+content-hash = "048d1f792b84b8ad6af94ad3b56cb0162f0c08d7f3291cb69124b3f83addc5d2"
diff --git a/pyproject.toml b/pyproject.toml
index b07bcc3e..d78f4419 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,6 @@ packages = [
 python = ">=3.10,<3.11"
 dataclasses-json = "^0.5.4"
 pandas = "^1.3.5"
-pyarrow = "10.0.1"
 tqdm = "^4.61.2"
 plotly = "^5.1.0"
 jsonlines = "^3.1.0"
@@ -37,6 +36,7 @@ trading-strategy-backtrader = {version="^0.1",  optional = true}
 coloredlogs = {version = "^15.0.1", optional = true}
 filelock = "^3.12.4"
 pytest-xdist = {version="^3.3.1", optional = true}
+fastparquet = "^2023.8.0"
 
 [tool.poetry.dev-dependencies]
 pytest = "7.1.3"
diff --git a/tests/test_candle_universe.py b/tests/test_candle_universe.py
index 60e917ca..4a287d95 100644
--- a/tests/test_candle_universe.py
+++ b/tests/test_candle_universe.py
@@ -1,6 +1,7 @@
 """Candle universe loading tests."""
 
 import datetime
+import sys
 
 import pandas
 import pandas as pd
@@ -8,14 +9,14 @@
 from tradingstrategy.candle import GroupedCandleUniverse, is_candle_green, is_candle_red
 from tradingstrategy.chain import ChainId
 from tradingstrategy.client import Client
-from tradingstrategy.pair import LegacyPairUniverse, PandasPairUniverse
+from tradingstrategy.pair import PandasPairUniverse
 from tradingstrategy.reader import read_parquet
 from tradingstrategy.timebucket import TimeBucket
 from tradingstrategy.transport.jsonl import JSONLMaxResponseSizeExceeded
 from tradingstrategy.utils.groupeduniverse import resample_candles
 
 
-def test_grouped_candles(persistent_test_client: Client):
+def test_grouped_candles(persistent_test_client: Client, logger):
     """Group downloaded candles by a trading pair."""
 
     client = persistent_test_client
@@ -33,7 +34,6 @@ def test_grouped_candles(persistent_test_client: Client):
     assert sushi_usdt.get_trading_pair_page_url() == "https://tradingstrategy.ai/trading-view/ethereum/sushi/sushi-usdt"
     sushi_usdt_candles = candle_universe.get_candles_by_pair(sushi_usdt.pair_id)
 
-    # Get max and min weekly candle of SUSHI-USDT on SushiSwap
     high_price = sushi_usdt_candles["high"]
     max_price = high_price.max()
 
diff --git a/tests/test_client.py b/tests/test_client.py
index 913a80ae..0287358e 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -8,8 +8,6 @@
 from tradingstrategy.timebucket import TimeBucket
 from tradingstrategy.client import Client
 from tradingstrategy.chain import ChainId
-from tradingstrategy.pair import LegacyPairUniverse
-
 
 logger = logging.getLogger(__name__)
 
@@ -64,37 +62,9 @@ def test_client_download_exchange_universe(client: Client, cache_path: str):
     assert exchange.exchange_slug == "shiba-swap"
 
 
-def test_client_download_pair_universe(client: Client, cache_path: str):
-    """Download pair mapping data"""
-
-    logger.info("Starting test_client_download_pair_universe")
-
-    exchange_universe = client.fetch_exchange_universe()
-
-    pairs = client.fetch_pair_universe()
-    # Check we cached the file correctly
-    assert os.path.exists(f"{cache_path}/pair-universe.parquet")
-    # Check universe has data
-    assert len(pairs) > 50_000
-
-    pair_universe = LegacyPairUniverse.create_from_pyarrow_table(pairs)
-
-    exchange = exchange_universe.get_by_chain_and_slug(ChainId.ethereum, "uniswap-v2")
-    assert exchange, "Uniswap v2 not found"
-
-    # Uniswap v2 has more than 2k eligible trading pairs
-    pairs = list(pair_universe.get_all_pairs_on_exchange(exchange.exchange_id))
-    assert len(pairs) > 2000
-
-    pair = pair_universe.get_pair_by_ticker_by_exchange(exchange.exchange_id, "WETH", "DAI")
-    assert pair, "WETH-DAI not found"
-    assert pair.base_token_symbol == "WETH"
-    assert pair.quote_token_symbol == "DAI"
-
-
 def test_client_download_all_pairs(client: Client, cache_path: str):
     """Download all candles for a specific candle width."""
-    df = client.fetch_all_candles(TimeBucket.d30)
+    df = client.fetch_all_candles(TimeBucket.d30).to_pandas()
     # Check we cached the file correctly
     assert os.path.exists(f"{cache_path}/candles-30d.parquet")
     assert len(df) > 100
@@ -102,7 +72,7 @@ def test_client_download_all_pairs(client: Client, cache_path: str):
 
 def test_client_download_all_liquidity_samples(client: Client, cache_path: str):
     """Download all liquidity samples for a specific candle width."""
-    df = client.fetch_all_liquidity_samples(TimeBucket.d30)
+    df = client.fetch_all_liquidity_samples(TimeBucket.d30).to_pandas()
     # Check we cached the file correctly
     assert os.path.exists(f"{cache_path}/liquidity-samples-30d.parquet")
     assert len(df) > 100
diff --git a/tests/test_lending.py b/tests/test_lending.py
index aed22a2e..9a868161 100644
--- a/tests/test_lending.py
+++ b/tests/test_lending.py
@@ -20,7 +20,7 @@
 
 def test_client_download_lending_reserves_all_time(client: Client, cache_path: str):
     """Download all available data on lending protocol reserves."""
-    df = client.fetch_lending_reserves_all_time()
+    df = client.fetch_lending_reserves_all_time().to_pandas()
     # Check we cached the file correctly
     assert Path(f"{cache_path}/lending-reserves-all.parquet").exists()
     assert len(df) > 100
diff --git a/tests/test_liquidity_universe.py b/tests/test_liquidity_universe.py
index aa27fdfc..11811c5b 100644
--- a/tests/test_liquidity_universe.py
+++ b/tests/test_liquidity_universe.py
@@ -4,7 +4,7 @@
 from tradingstrategy.chain import ChainId
 from tradingstrategy.client import Client
 from tradingstrategy.liquidity import GroupedLiquidityUniverse, LiquidityDataUnavailable
-from tradingstrategy.pair import DEXPair, LegacyPairUniverse, PandasPairUniverse
+from tradingstrategy.pair import DEXPair, PandasPairUniverse
 from tradingstrategy.timebucket import TimeBucket
 
 
@@ -98,28 +98,6 @@ def test_combined_candles_and_liquidity(persistent_test_client: Client):
     assert abs((liq_pair_count - candle_pair_count) / liq_pair_count) < 0.15
 
 
-def test_liquidity_index_is_datetime(persistent_test_client: Client):
-    """Any liquidity samples use datetime index by default.
-
-    Avoid raw running counter indexes. This makes manipulating data much easier.
-    """
-    client = persistent_test_client
-
-    exchange_universe = client.fetch_exchange_universe()
-    exchange = exchange_universe.get_by_chain_and_slug(ChainId.ethereum, "uniswap-v2")
-    pairs = client.fetch_pair_universe()
-    pair_universe = LegacyPairUniverse.create_from_pyarrow_table(pairs)
-    pair = pair_universe.get_pair_by_ticker_by_exchange(exchange.exchange_id, "WETH", "DAI")
-
-    exchange = exchange_universe.get_by_chain_and_slug(ChainId.ethereum, "uniswap-v2")
-    assert exchange, "Uniswap v2 not found"
-
-    raw_liquidity_samples = client.fetch_all_liquidity_samples(TimeBucket.d7).to_pandas()
-    liquidity_universe = GroupedLiquidityUniverse(raw_liquidity_samples)
-    liq1 = liquidity_universe.get_liquidity_samples_by_pair(pair.pair_id)
-    assert isinstance(liq1.index, pd.DatetimeIndex)
-
-
 def test_merge_liquidity_samples(persistent_test_client: Client):
     """Merging two liquidity graphs using Pandas should work.
 
diff --git a/tests/test_resampled_liquidity_universe.py b/tests/test_resampled_liquidity_universe.py
index a2e486f6..31e400b7 100644
--- a/tests/test_resampled_liquidity_universe.py
+++ b/tests/test_resampled_liquidity_universe.py
@@ -1,11 +1,11 @@
 """Optimised liquidity universe tests."""
 import pandas as pd
 import pytest
-from tradingstrategy.candle import GroupedCandleUniverse
+
 from tradingstrategy.chain import ChainId
 from tradingstrategy.client import Client
-from tradingstrategy.liquidity import GroupedLiquidityUniverse, LiquidityDataUnavailable, ResampledLiquidityUniverse
-from tradingstrategy.pair import DEXPair, LegacyPairUniverse, PandasPairUniverse
+from tradingstrategy.liquidity import ResampledLiquidityUniverse
+from tradingstrategy.pair import PandasPairUniverse
 from tradingstrategy.timebucket import TimeBucket
 
 
diff --git a/testscript.py b/testscript.py
new file mode 100644
index 00000000..2350f80c
--- /dev/null
+++ b/testscript.py
@@ -0,0 +1,32 @@
+"""Compare pyarrow and fastparquet files.
+
+- Use the sample Parquet file (54MB): https://drive.google.com/file/d/1LtiL-n50cNx1JMBC0QE-Ztvf8ENSb-OE/view?usp=sharing
+  - save as "/tmp/candles-30d.parquet"
+
+- We found out that rows and the contents of pair_id column is corrupted
+  (among other corruption if you do row by row comparison, but this is easy to spot)]
+
+- One potential cause is usage of row groups in the file
+
+- The file has been written with pyarrow / Python
+
+
+"""
+from pyarrow import parquet as pq  # pyarrow 10
+from fastparquet import ParquetFile  # fastparquet  2023.1.0
+
+path = "/tmp/candles-30d.parquet"
+
+pf1 = ParquetFile(path)
+pf2 = pq.read_table(path)
+
+df1 = pf1.to_pandas()
+df2 = pf2.to_pandas()
+
+print("Rows ", len(df2))
+assert len(df1) == len(df2)  # Passes, looks like row count matches
+
+# fastparquet only sees 1280 pair_ids out of 150903
+print("Unique pairs fastparquet", len(df1.pair_id.unique()))
+print("Unique pairs pyarrow", len(df2.pair_id.unique()))
+assert len(df1.pair_id.unique()) == len(df2.pair_id.unique())
\ No newline at end of file
diff --git a/tradingstrategy/client.py b/tradingstrategy/client.py
index 1c4901ae..58356d8a 100644
--- a/tradingstrategy/client.py
+++ b/tradingstrategy/client.py
@@ -41,10 +41,6 @@
     warnings.simplefilter("ignore")
     import dataclasses_json  # Trigger marsmallow import to supress the warning
 
-import pyarrow
-import pyarrow as pa
-from pyarrow import Table
-
 from tradingstrategy.chain import ChainId
 from tradingstrategy.environment.base import Environment, download_with_progress_plain
 from tradingstrategy.environment.config import Configuration
@@ -163,12 +159,17 @@ def clear_caches(self, filename: Optional[Union[str, Path]] = None):
         self.transport.purge_cache(filename)
 
     @_retry_corrupted_parquet_fetch
-    def fetch_pair_universe(self) -> pa.Table:
+    def fetch_pair_universe(self) -> "pyarrow.Table | fastparquet.ParquetFile":
         """Fetch pair universe from local cache or the candle server.
 
         The compressed file size is around 5 megabytes.
 
         If the download seems to be corrupted, it will be attempted 3 times.
+
+
+        :return:
+            TODO: Change the return type to DataFrame.
+
         """
         path = self.transport.fetch_pair_universe()
         return read_parquet(path)
@@ -184,7 +185,7 @@ def fetch_exchange_universe(self) -> ExchangeUniverse:
                 raise RuntimeError(f"Could not read JSON file {path}") from e
 
     @_retry_corrupted_parquet_fetch
-    def fetch_all_candles(self, bucket: TimeBucket) -> pyarrow.Table:
+    def fetch_all_candles(self, bucket: TimeBucket) -> "pyarrow.Table | fastparquet.ParquetFile":
         """Get cached blob of candle data of a certain candle width.
 
         The returned data can be between several hundreds of megabytes to several gigabytes
@@ -457,7 +458,7 @@ def fetch_lending_candles_for_universe(
         return result
 
     @_retry_corrupted_parquet_fetch
-    def fetch_all_liquidity_samples(self, bucket: TimeBucket) -> Table:
+    def fetch_all_liquidity_samples(self, bucket: TimeBucket) -> "pyarrow.Table | fastparquet.ParquetFile":
         """Get cached blob of liquidity events of a certain time window.
 
         The returned data can be between several hundreds of megabytes to several gigabytes
@@ -484,7 +485,7 @@ def fetch_lending_reserve_universe(self) -> LendingReserveUniverse:
             raise RuntimeError(f"Could not read JSON file {path}") from e
 
     @_retry_corrupted_parquet_fetch
-    def fetch_lending_reserves_all_time(self) -> Table:
+    def fetch_lending_reserves_all_time(self) -> "pyarrow.Table | fastparquet.ParquetFile":
         """Get a cached blob of lending protocol reserve events and precomupted stats.
 
         The returned data can be between several hundreds of megabytes to several
diff --git a/tradingstrategy/pair.py b/tradingstrategy/pair.py
index 77f27e3c..c031fc07 100644
--- a/tradingstrategy/pair.py
+++ b/tradingstrategy/pair.py
@@ -1492,150 +1492,6 @@ def create_pair_universe(
         return PandasPairUniverse(resolved_pairs_df)
 
 
-class LegacyPairUniverse:
-    """The queries universe, as returned by the server.
-
-    .. note ::
-
-        TODO: Legacy prototype implementation and will be deprecated.
-
-    Converts raw pair dataset to easier to use `DEXPair`
-    in-memory index.
-
-    You likely want to use :py:class:`PandasPairUniverse`,
-    as its offers much more functionality than this implemetation.
-    """
-
-    #: Internal id -> DEXPair mapping
-    pairs: Dict[int, DEXPair]
-
-    def __init__(self, pairs: Dict[int, DEXPair]):
-        self.pairs = pairs
-
-    @classmethod
-    def create_from_pyarrow_table(cls, table: pa.Table) -> "LegacyPairUniverse":
-        """Convert columnar presentation to a Python in-memory objects.
-
-        Some data manipulation is easier with objects instead of columns.
-
-        .. note ::
-
-            This seems to quite slow operation.
-            It is recommend you avoid this if you do not need row-like data.
-        """
-        pairs: Dict[int, DEXPair] = {}
-        for batch in table.to_batches(max_chunksize=5000):
-            d = batch.to_pydict()
-            for row in iterate_columnar_dicts(d):
-                pairs[row["pair_id"]] = DEXPair.from_dict(row)
-
-        return LegacyPairUniverse(pairs=pairs)
-
-    @classmethod
-    def create_from_pyarrow_table_with_filters(cls, table: pa.Table, chain_id_filter: Optional[ChainId] = None) -> "LegacyPairUniverse":
-        """Convert columnar presentation to a Python in-memory objects.
-
-        Filter the pairs based on given filter arguments.
-        """
-
-        if chain_id_filter:
-            # https://stackoverflow.com/a/64579502/315168
-            chain_id_index = table.column('chain_id')
-            row_mask = pc.equal(chain_id_index, pa.scalar(chain_id_filter.value, chain_id_index.cause))
-            selected_table = table.filter(row_mask)
-
-        return LegacyPairUniverse.create_from_pyarrow_table(selected_table)
-
-    def get_pair_by_id(self, pair_id: int) -> Optional[DEXPair]:
-        """Resolve pair by its id.
-
-        Only useful for debugging. Does a slow look
-        """
-        return self.pairs[pair_id]
-
-    def get_pair_by_ticker(self, base_token: str, quote_token: str) -> Optional[DEXPair]:
-        """Get a trading pair by its ticker symbols.
-
-        Note that this method works only very simple universes, as any given pair
-        is poised to have multiple tokens and multiple trading pairs on different exchanges.
-
-        :raise DuplicatePair: If the universe contains more than single entry for the pair.
-        :raise PairNotFoundError: If the pair is not found.
-
-        :return: None if there is no match
-        """
-        pairs = [p for p in self.pairs.values() if p.base_token_symbol == base_token and p.quote_token_symbol == quote_token]
-
-        if len(pairs) > 1:
-            raise DuplicatePair(f"Multiple trading pairs found {base_token}-{quote_token}")
-
-        if pairs:
-            return pairs[0]
-
-        raise PairNotFoundError(base_token=base_token, quote_token=quote_token)
-
-    def get_pair_by_ticker_by_exchange(self, exchange_id: int, base_token: str, quote_token: str) -> Optional[DEXPair]:
-        """Get a trading pair by its ticker symbols.
-
-        Note that this method works only very simple universes, as any given pair
-        is poised to have multiple tokens and multiple trading pairs on different exchanges.
-
-        :param exchange_id: E.g. `1` for uniswap_v2
-
-        :raise DuplicatePair:
-            If the universe contains more than single entry for the pair.
-            Because we are looking by a token symbol there might be fake tokens with the same symbol.
-
-        :return: None if there is no match
-        """
-
-        # Don't let ints slip through as they are unsupported
-        assert type(exchange_id) == int
-
-        pairs = [p for p in self.pairs.values()
-                 if p.base_token_symbol == base_token
-                 and p.quote_token_symbol == quote_token
-                 and p.exchange_id == exchange_id]
-
-        if len(pairs) > 1:
-            raise DuplicatePair(f"Multiple trading pairs found {base_token}-{quote_token} on exchange {exchange_id}")
-
-        if pairs:
-            return pairs[0]
-
-        raise PairNotFoundError(base_token=base_token, quote_token=quote_token)
-
-    def get_all_pairs_on_exchange(self, exchange_id: int) -> Iterable[DEXPair]:
-        """Get all trading pair on a decentralsied exchange.
-
-        Use `ExchangeUniverse.get_by_chain_and_slug` to resolve the `exchange_id` first.
-        :param chain_id: E.g. `ChainId.ethereum`
-
-        :param exchange_id: E.g. `1` for uniswap_v2
-
-        :raise DuplicatePair:
-            If the universe contains more than single entry for the pair.
-            Because we are looking by a token symbol there might be fake tokens with the same symbol.
-
-        :return: None if there is no match
-        """
-
-        # Don't let ints slip through as they are unsupported
-        assert type(exchange_id) == int
-
-        for p in self.pairs.values():
-            if p.exchange_id == exchange_id:
-                yield p
-
-    def get_active_pairs(self) -> Iterable["DEXPair"]:
-        """Filter for pairs that have see a trade for the last 30 days"""
-        return filter(lambda p: not p.flag_inactive, self.pairs.values())
-
-    def get_inactive_pairs(self) -> Iterable["DEXPair"]:
-        """Filter for pairs that have not see a trade for the last 30 days"""
-        return filter(lambda p: p.flag_inactive, self.pairs.values())
-
-
 def filter_for_exchanges(pairs: pd.DataFrame, exchanges: Collection[Exchange]) -> pd.DataFrame:
     """Filter dataset so that it only contains data for the trading pairs from a certain exchange.
 
@@ -2098,6 +1954,11 @@ def _preprocess_loaded_pair_data(data: dict) -> dict:
     assert isinstance(data, dict)
 
     def _fix_val(v):
+
+        if v is pd.NA:
+            # FastParquet fills missing data with pandas._libs.missing.NAType
+            return None
+
         try:
             if isnan(v):
                 return None
diff --git a/tradingstrategy/reader.py b/tradingstrategy/reader.py
index 9ebb2f93..54cbff26 100644
--- a/tradingstrategy/reader.py
+++ b/tradingstrategy/reader.py
@@ -1,11 +1,18 @@
-"""Reading and consuming datasets."""
+"""Reading and consuming Parquet dataset files.
+
+Python has two backends for dealing with Parquet files
+
+- ``fastparquet``
+
+- ``pyarrow``
+
+FastParquet is used. A legacy function using PyArrow is still around.
+"""
 
 import logging
 from pathlib import Path
 from typing import Optional, List, Tuple
 
-import pyarrow as pa
-from pyarrow import parquet as pq, ArrowInvalid
 
 logger = logging.getLogger(__name__)
 
@@ -18,7 +25,33 @@ def __init__(self, msg: str, path: Path):
         self.path = path
 
 
-def read_parquet(path: Path, filters: Optional[List[Tuple]]=None) -> pa.Table:
+def read_parquet_fastparquet(path: Path, filters: Optional[List[Tuple]]=None) -> "fastparquet.ParquetFile":
+    """Reads compressed Parquet file of data to memory.
+
+    .. warning::
+
+        Currently the read candle data is corrupted.
+
+        See https://github.com/dask/fastparquet/issues/849
+
+    Uses ``fastparquet`` backend.
+
+    File or stream can describe :py:class:`tradingstrategy.candle.Candle`
+    or :py:class:`tradingstrategy.pair.DEXPair` data.
+
+    :param stream:
+        A file input that must support seeking.
+
+    :param filters:
+        Unsupported
+
+    """
+    from fastparquet import ParquetFile
+    pf = ParquetFile(path)
+    return pf
+
+
+def read_parquet_pyarrow(path: Path, filters: Optional[List[Tuple]]=None) -> "pyarrow.Table":
     """Reads compressed Parquet file of data to memory.
 
     File or stream can describe :py:class:`tradingstrategy.candle.Candle`
@@ -40,6 +73,10 @@ def read_parquet(path: Path, filters: Optional[List[Tuple]]=None) -> pa.Table:
         Parquet read_table filters.
 
     """
+
+    import pyarrow as pa
+    from pyarrow import parquet as pq, ArrowInvalid
+
     assert isinstance(path, Path), f"Expected path: {path}"
     f = path.as_posix()
     logger.info("Reading Parquet %s", f)
@@ -55,3 +92,9 @@ def read_parquet(path: Path, filters: Optional[List[Tuple]]=None) -> pa.Table:
                          path=path) \
                         from e
     return table
+
+
+#: Choose between different backends
+#:
+read_parquet = read_parquet_fastparquet
+#read_parquet = read_parquet_pyarrow
\ No newline at end of file
diff --git a/tradingstrategy/transport/cache.py b/tradingstrategy/transport/cache.py
index a0e5b6ef..8884eedf 100644
--- a/tradingstrategy/transport/cache.py
+++ b/tradingstrategy/transport/cache.py
@@ -271,6 +271,11 @@ def fetch_chain_status(self, chain_id: int) -> dict:
         return self.get_json_response("chain-status", params={"chain_id": chain_id})
 
     def fetch_pair_universe(self) -> pathlib.Path:
+        """Get the pair universe as a file.
+
+        :return:
+            The path of a locally cache file
+        """
         fname = "pair-universe.parquet"
         cached = self.get_cached_item(fname)