From 6a26ca4735ca49a02a32a6a81b4695703abedbc7 Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 16:44:13 +0400 Subject: [PATCH 1/8] naming a series --- cvx/simulator/portfolio.py | 7 +++++-- 1 file changed, 5 insertions(+), 2 deletions(-) diff --git a/cvx/simulator/portfolio.py b/cvx/simulator/portfolio.py index 6b946471..927f8064 100644 --- a/cvx/simulator/portfolio.py +++ b/cvx/simulator/portfolio.py @@ -85,10 +85,13 @@ def assets(self) -> pd.Index: def nav(self): """Return a pandas series representing the NAV""" if isinstance(self.aum, pd.Series): - return self.aum + series = self.aum else: profit = (self.cashposition.shift(1) * self.returns.fillna(0.0)).sum(axis=1) - return profit.cumsum() + self.aum + series = profit.cumsum() + self.aum + + series.name = "NAV" + return series @property def profit(self) -> pd.Series: From 15d0873c7b646df32cf58c7ebe18ee5043c6b01e Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 16:46:17 +0400 Subject: [PATCH 2/8] naming a series --- cvx/simulator/portfolio.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/cvx/simulator/portfolio.py b/cvx/simulator/portfolio.py index 927f8064..d8588a09 100644 --- a/cvx/simulator/portfolio.py +++ b/cvx/simulator/portfolio.py @@ -101,7 +101,9 @@ def profit(self) -> pd.Series: Returns: pd.Series: A pandas series representing the profit gained or lost in the portfolio based on changes in asset prices. """ - return (self.cashposition.shift(1) * self.returns.fillna(0.0)).sum(axis=1) + series = (self.cashposition.shift(1) * self.returns.fillna(0.0)).sum(axis=1) + series.name = "Profit" + return series @property def highwater(self) -> pd.Series: @@ -118,7 +120,9 @@ def highwater(self) -> pd.Series: Min_periods argument is set to 1 to include the minimum period of one day. The resulting series will show the highest value the portfolio has reached at each point in time. """ - return self.nav.expanding(min_periods=1).max() + series = self.nav.expanding(min_periods=1).max() + series.name = "Highwater" + return series @property def drawdown(self) -> pd.Series: @@ -135,7 +139,9 @@ def drawdown(self) -> pd.Series: A positive drawdown means the portfolio is currently worth less than its high-water mark. A drawdown of 0.1 implies that the nav is currently 0.9 times the high-water mark """ - return 1.0 - self.nav / self.highwater + series = 1.0 - self.nav / self.highwater + series.name = "Drawdown" + return series @property def cashposition(self): From 034a9f964c1926f68367a2eadd11aa7a074b964b Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 16:59:12 +0400 Subject: [PATCH 3/8] naming series --- tests/test_applications/test_case.py | 3 ++- tests/test_applications/test_portfolio.py | 8 ++++++-- tests/test_builder.py | 2 +- tests/test_portfolio.py | 18 +++++++----------- 4 files changed, 16 insertions(+), 15 deletions(-) diff --git a/tests/test_applications/test_case.py b/tests/test_applications/test_case.py index bdfffe1b..9ab48d30 100644 --- a/tests/test_applications/test_case.py +++ b/tests/test_applications/test_case.py @@ -91,5 +91,6 @@ def test_case(columns, index, prices): # ) # nav is the net asset value equity and cash, 1) 2000 2) 2000 3) 2000 4) 1000 pd.testing.assert_series_equal( - portfolio.nav, pd.Series(index=index, data=[2000.0, 2000.0, 2000.0, 1000.0]) + portfolio.nav, + pd.Series(index=index, data=[2000.0, 2000.0, 2000.0, 1000.0], name="NAV"), ) diff --git a/tests/test_applications/test_portfolio.py b/tests/test_applications/test_portfolio.py index 2185b595..5f0e1f2b 100644 --- a/tests/test_applications/test_portfolio.py +++ b/tests/test_applications/test_portfolio.py @@ -34,7 +34,9 @@ def test_from_cash_position_prices(prices): ) profit = (portfolio.cashposition.shift(1) * portfolio.returns).sum(axis=1) - pd.testing.assert_series_equal(portfolio.nav, profit.cumsum() + portfolio.aum) + pd.testing.assert_series_equal( + portfolio.nav, profit.cumsum() + portfolio.aum, check_names=False + ) def test_from_cash_returns(prices): @@ -46,4 +48,6 @@ def test_from_cash_returns(prices): ) profit = (portfolio.cashposition.shift(1) * portfolio.returns).sum(axis=1) - pd.testing.assert_series_equal(portfolio.nav, profit.cumsum() + portfolio.aum) + pd.testing.assert_series_equal( + portfolio.nav, profit.cumsum() + portfolio.aum, check_names=False + ) diff --git a/tests/test_builder.py b/tests/test_builder.py index a3db7972..4ddd5a25 100644 --- a/tests/test_builder.py +++ b/tests/test_builder.py @@ -32,7 +32,7 @@ def test_build_empty(builder, prices): pd.testing.assert_frame_equal(portfolio.prices, prices) pd.testing.assert_frame_equal(portfolio.units, np.NaN * prices) pd.testing.assert_series_equal( - portfolio.profit, pd.Series(index=prices.index, data=0.0) + portfolio.profit, pd.Series(index=prices.index, data=0.0, name="Profit") ) diff --git a/tests/test_portfolio.py b/tests/test_portfolio.py index 44e85dec..d6fbfb3a 100644 --- a/tests/test_portfolio.py +++ b/tests/test_portfolio.py @@ -26,14 +26,6 @@ def portfolio(prices, nav): return Portfolio(prices=prices, units=units, aum=nav) - # positions = pd.DataFrame(index=prices.index, columns=prices.columns, data=1.0) - # b = EquityBuilder(prices, initial_cash=1e6) - - # for t, state in b: - # b.position = positions.loc[t[-1]] - - # return b.build() - def test_assets(portfolio, prices): """ @@ -107,11 +99,13 @@ def test_drawdown(portfolio): :param portfolio: the portfolio object (fixture) """ pd.testing.assert_series_equal( - portfolio.highwater, portfolio.nav.expanding(min_periods=1).max() + portfolio.highwater, + portfolio.nav.expanding(min_periods=1).max(), + check_names=False, ) drawdown = 1.0 - portfolio.nav / portfolio.highwater - pd.testing.assert_series_equal(portfolio.drawdown, drawdown) + pd.testing.assert_series_equal(portfolio.drawdown, drawdown, check_names=False) def test_monotonic(): @@ -176,7 +170,9 @@ def test_profit(portfolio): :param portfolio: the portfolio object (fixture) """ pd.testing.assert_series_equal( - portfolio.profit, portfolio.equity.sum(axis=1).diff().fillna(0.0) + portfolio.profit, + portfolio.equity.sum(axis=1).diff().fillna(0.0), + check_names=False, ) From b27b86b2895b8c8dd75240dd6311d77c5cbdb886 Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 17:11:37 +0400 Subject: [PATCH 4/8] README link --- README.md | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 9ef1986e..5174be14 100644 --- a/README.md +++ b/README.md @@ -35,10 +35,10 @@ and initialize the amount of cash used in an experiment: ```python import pandas as pd -from cvx.simulator import EquityBuilder +from cvx.simulator import Builder prices = pd.read_csv("prices.csv", index_col=0, parse_dates=True, header=0) -b = EquityBuilder(prices=prices, initial_cash=1e6) +b = Builder(prices=prices, initial_cash=1e6) ``` Prices have to be valid, there may be NaNs only at the beginning and the end of @@ -65,6 +65,8 @@ for t, state in b: units[pair] = [state.nav, -state.nav] / state.prices[pair].values # update the position b.position = 0.1 * units + # Do not apply trading costs + b.aum = state.aum ``` Here t is the growing list of timestamps, e.g. in the first iteration @@ -81,6 +83,7 @@ implemenent the popular $1/n$ strategy. for t, state in b: # each day we invest a quarter of the capital in the assets b.position = 0.25 * state.nav / state.prices + b.aum = state.aum ``` Note that we update the position at the last element in the t list @@ -91,6 +94,7 @@ The builder class also exposes setters for such alternative conventions. for t, state in b: # each day we invest a quarter of the capital in the assets b.weights = np.ones(4)*0.25 + b.aum = state.aum ``` ### Build the portfolio From 04e08fc0965d2a6e4dd15147f355b4eb617eb3b8 Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 17:21:41 +0400 Subject: [PATCH 5/8] Update Makefile --- Makefile | 8 +------- 1 file changed, 1 insertion(+), 7 deletions(-) diff --git a/Makefile b/Makefile index 93c4439e..2bf47811 100644 --- a/Makefile +++ b/Makefile @@ -47,11 +47,5 @@ jupyter: install ## Run jupyter lab @poetry run jupyter lab .PHONY: marimo -marimo: install ## Run jupyter lab +marimo: install ## Install Marimo @poetry run pip install marimo - @poetry run marimo edit - -.PHONY: boil -boil: ## Update the boilerplate code - @poetry run pip install cvxcooker - @poetry run cook pyproject.toml From 7d784ecf7272e8b5ad9eaaf3762c440d1791fa72 Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 17:23:26 +0400 Subject: [PATCH 6/8] Update pyproject.toml --- pyproject.toml | 1 - 1 file changed, 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index d12aae57..6a1aef0e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,7 +24,6 @@ pre-commit = "*" [tool.poetry.group.dev.dependencies] plotly = "*" loguru = "*" -cvxpy = "*" tinycta = "0.7.0" [build-system] From 3298fc683491aaa9b7bbcbcc48a9ad75e56355b6 Mon Sep 17 00:00:00 2001 From: Thomas Schmelzer Date: Wed, 20 Dec 2023 17:24:30 +0400 Subject: [PATCH 7/8] Update pyproject.toml --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 6a1aef0e..d12aae57 100644 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