From 3bcca380cca5067498c5f530bc6818f528973ca4 Mon Sep 17 00:00:00 2001 From: Joshua Attridge Date: Sat, 25 May 2024 21:48:18 +0100 Subject: [PATCH] added more tests for the previous_high_low function --- ...v => previous_high_low_result_data_1D.csv} | 0 .../previous_high_low_result_data_4h.csv | 24425 ++++++++++++++++ .../previous_high_low_result_data_W.csv | 24425 ++++++++++++++++ ...v => previous_high_low_result_data_1D.csv} | 0 .../previous_high_low_result_data_4h.csv | 1262 + .../NIFTY/previous_high_low_result_data_W.csv | 1262 + tests/unit_tests.py | 265 +- 7 files changed, 51524 insertions(+), 115 deletions(-) rename tests/test_data/EURUSD/{previous_high_low_result_data.csv => previous_high_low_result_data_1D.csv} (100%) create mode 100644 tests/test_data/EURUSD/previous_high_low_result_data_4h.csv create mode 100644 tests/test_data/EURUSD/previous_high_low_result_data_W.csv rename tests/test_data/NIFTY/{previous_high_low_result_data.csv => previous_high_low_result_data_1D.csv} (100%) create mode 100644 tests/test_data/NIFTY/previous_high_low_result_data_4h.csv create mode 100644 tests/test_data/NIFTY/previous_high_low_result_data_W.csv diff --git a/tests/test_data/EURUSD/previous_high_low_result_data.csv b/tests/test_data/EURUSD/previous_high_low_result_data_1D.csv similarity index 100% rename from tests/test_data/EURUSD/previous_high_low_result_data.csv rename to tests/test_data/EURUSD/previous_high_low_result_data_1D.csv diff --git a/tests/test_data/EURUSD/previous_high_low_result_data_4h.csv b/tests/test_data/EURUSD/previous_high_low_result_data_4h.csv new file mode 100644 index 0000000..d0f74e5 --- /dev/null +++ b/tests/test_data/EURUSD/previous_high_low_result_data_4h.csv @@ -0,0 +1,24425 @@ +PreviousHigh,PreviousLow,BrokenHigh,BrokenLow +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 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+,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 +,,0,0 diff --git a/tests/unit_tests.py b/tests/unit_tests.py index 51e5cc6..7f58925 100644 --- a/tests/unit_tests.py +++ b/tests/unit_tests.py @@ -18,87 +18,110 @@ class TestSmartMoneyConcepts(unittest.TestCase): # to test each function in the smartmoneyconcepts package # each function will be called and the result will be compared to the result data - # def test_fvg(self): - # start_time = time.time() - # fvg_data = smc.fvg(df, join_consecutive=True) - # fvg_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "fvg_result_data.csv") - # ) - # print("fvg test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(fvg_data, fvg_result_data, check_dtype=False) - - # def test_swing_highs_lows(self): - # start_time = time.time() - # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) - # swing_highs_lows_result_data = pd.read_csv( - # os.path.join( - # "test_data", test_instrument, "swing_highs_lows_result_data.csv" - # ) - # ) - # print("swing_highs_lows test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(swing_highs_lows_data, swing_highs_lows_result_data, check_dtype=False) - - # def test_bos_choch(self): - # start_time = time.time() - # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) - # bos_choch_data = smc.bos_choch(df, swing_highs_lows_data) - # bos_choch_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "bos_choch_result_data.csv") - # ) - # print("bos_choch test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal( - # bos_choch_data, bos_choch_result_data, check_dtype=False - # ) - - # def test_ob(self): - # start_time = time.time() - # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) - # ob_data = smc.ob(df, swing_highs_lows_data) - # ob_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "ob_result_data.csv") - # ) - # print("ob test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(ob_data, ob_result_data, check_dtype=False) - - # def test_liquidity(self): - # start_time = time.time() - # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) - # liquidity_data = smc.liquidity(df, swing_highs_lows_data) - # liquidity_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "liquidity_result_data.csv") - # ) - # print("liquidity test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(liquidity_data, liquidity_result_data, check_dtype=False) + def test_fvg(self): + start_time = time.time() + fvg_data = smc.fvg(df, join_consecutive=True) + fvg_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "fvg_result_data.csv") + ) + print("fvg test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(fvg_data, fvg_result_data, check_dtype=False) + + def test_swing_highs_lows(self): + start_time = time.time() + swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + swing_highs_lows_result_data = pd.read_csv( + os.path.join( + "test_data", test_instrument, "swing_highs_lows_result_data.csv" + ) + ) + print("swing_highs_lows test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(swing_highs_lows_data, swing_highs_lows_result_data, check_dtype=False) + + def test_bos_choch(self): + start_time = time.time() + swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + bos_choch_data = smc.bos_choch(df, swing_highs_lows_data) + bos_choch_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "bos_choch_result_data.csv") + ) + print("bos_choch test time: ", time.time() - start_time) + pd.testing.assert_frame_equal( + bos_choch_data, bos_choch_result_data, check_dtype=False + ) + + def test_ob(self): + start_time = time.time() + swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + ob_data = smc.ob(df, swing_highs_lows_data) + ob_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "ob_result_data.csv") + ) + print("ob test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(ob_data, ob_result_data, check_dtype=False) + + def test_liquidity(self): + start_time = time.time() + swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + liquidity_data = smc.liquidity(df, swing_highs_lows_data) + liquidity_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "liquidity_result_data.csv") + ) + print("liquidity test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(liquidity_data, liquidity_result_data, check_dtype=False) def test_previous_high_low(self): + # test 4h time frame start_time = time.time() previous_high_low_data = smc.previous_high_low(df, time_frame="4h") previous_high_low_result_data = pd.read_csv( os.path.join( - "test_data", test_instrument, "previous_high_low_result_data.csv" + "test_data", test_instrument, "previous_high_low_result_data_4h.csv" + ) + ) + print("previous_high_low test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(previous_high_low_data, previous_high_low_result_data, check_dtype=False) + + # test 1D time frame + start_time = time.time() + previous_high_low_data = smc.previous_high_low(df, time_frame="1D") + previous_high_low_result_data = pd.read_csv( + os.path.join( + "test_data", test_instrument, "previous_high_low_result_data_1D.csv" ) ) print("previous_high_low test time: ", time.time() - start_time) pd.testing.assert_frame_equal(previous_high_low_data, previous_high_low_result_data, check_dtype=False) - # def test_sessions(self): - # start_time = time.time() - # sessions = smc.sessions(df, session="London") - # sessions_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "sessions_result_data.csv") - # ) - # print("sessions test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(sessions, sessions_result_data, check_dtype=False) - - # def test_retracements(self): - # start_time = time.time() - # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) - # retracements = smc.retracements(df, swing_highs_lows_data) - # retracements_result_data = pd.read_csv( - # os.path.join("test_data", test_instrument, "retracements_result_data.csv") - # ) - # print("retracements test time: ", time.time() - start_time) - # pd.testing.assert_frame_equal(retracements, retracements_result_data, check_dtype=False) + # test W time frame + start_time = time.time() + previous_high_low_data = smc.previous_high_low(df, time_frame="W") + previous_high_low_result_data = pd.read_csv( + os.path.join( + "test_data", test_instrument, "previous_high_low_result_data_W.csv" + ) + ) + print("previous_high_low test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(previous_high_low_data, previous_high_low_result_data, check_dtype=False) + + def test_sessions(self): + start_time = time.time() + sessions = smc.sessions(df, session="London") + sessions_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "sessions_result_data.csv") + ) + print("sessions test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(sessions, sessions_result_data, check_dtype=False) + + def test_retracements(self): + start_time = time.time() + swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + retracements = smc.retracements(df, swing_highs_lows_data) + retracements_result_data = pd.read_csv( + os.path.join("test_data", test_instrument, "retracements_result_data.csv") + ) + print("retracements test time: ", time.time() - start_time) + pd.testing.assert_frame_equal(retracements, retracements_result_data, check_dtype=False) if __name__ == "__main__": @@ -106,51 +129,63 @@ def test_previous_high_low(self): # def generate_results_data(): -# fvg_data = smc.fvg(df, join_consecutive=True) -# fvg_data.to_csv( -# os.path.join("test_data", test_instrument, "fvg_result_data.csv"), index=False -# ) - -# swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) -# swing_highs_lows_data.to_csv( -# os.path.join("test_data", test_instrument, "swing_highs_lows_result_data.csv"), -# index=False, -# ) - -# bos_choch_data = smc.bos_choch(df, swing_highs_lows_data) -# bos_choch_data.to_csv( -# os.path.join("test_data", test_instrument, "bos_choch_result_data.csv"), -# index=False, -# ) - -# ob_data = smc.ob(df, swing_highs_lows_data) -# ob_data.to_csv( -# os.path.join("test_data", test_instrument, "ob_result_data.csv"), index=False -# ) - -# liquidity_data = smc.liquidity(df, swing_highs_lows_data) -# liquidity_data.to_csv( -# os.path.join("test_data", test_instrument, "liquidity_result_data.csv"), -# index=False, -# ) - -# previous_high_low_data = smc.previous_high_low(df, time_frame="4h") -# previous_high_low_data.to_csv( -# os.path.join("test_data", test_instrument, "previous_high_low_result_data.csv"), -# index=False, -# ) - -# sessions = smc.sessions(df, session="London") -# sessions.to_csv( -# os.path.join("test_data", test_instrument, "sessions_result_data.csv"), -# index=False, -# ) - -# retracements = smc.retracements(df, swing_highs_lows_data) -# retracements.to_csv( -# os.path.join("test_data", test_instrument, "retracements_result_data.csv"), -# index=False, -# ) + # fvg_data = smc.fvg(df, join_consecutive=True) + # fvg_data.to_csv( + # os.path.join("test_data", test_instrument, "fvg_result_data.csv"), index=False + # ) + + # swing_highs_lows_data = smc.swing_highs_lows(df, swing_length=5) + # swing_highs_lows_data.to_csv( + # os.path.join("test_data", test_instrument, "swing_highs_lows_result_data.csv"), + # index=False, + # ) + + # bos_choch_data = smc.bos_choch(df, swing_highs_lows_data) + # bos_choch_data.to_csv( + # os.path.join("test_data", test_instrument, "bos_choch_result_data.csv"), + # index=False, + # ) + + # ob_data = smc.ob(df, swing_highs_lows_data) + # ob_data.to_csv( + # os.path.join("test_data", test_instrument, "ob_result_data.csv"), index=False + # ) + + # liquidity_data = smc.liquidity(df, swing_highs_lows_data) + # liquidity_data.to_csv( + # os.path.join("test_data", test_instrument, "liquidity_result_data.csv"), + # index=False, + # ) + + # previous_high_low_data = smc.previous_high_low(df, time_frame="4h") + # previous_high_low_data.to_csv( + # os.path.join("test_data", test_instrument, "previous_high_low_result_data_4h.csv"), + # index=False, + # ) + + # previous_high_low_data = smc.previous_high_low(df, time_frame="1D") + # previous_high_low_data.to_csv( + # os.path.join("test_data", test_instrument, "previous_high_low_result_data_1D.csv"), + # index=False, + # ) + + # previous_high_low_data = smc.previous_high_low(df, time_frame="W") + # previous_high_low_data.to_csv( + # os.path.join("test_data", test_instrument, "previous_high_low_result_data_W.csv"), + # index=False, + # ) + + # sessions = smc.sessions(df, session="London") + # sessions.to_csv( + # os.path.join("test_data", test_instrument, "sessions_result_data.csv"), + # index=False, + # ) + + # retracements = smc.retracements(df, swing_highs_lows_data) + # retracements.to_csv( + # os.path.join("test_data", test_instrument, "retracements_result_data.csv"), + # index=False, + # ) # generate_results_data()