fix module inits

requirements_new.txt

@@ -236,7 +236,7 @@ tzlocal==4.3
 uri-template==1.3.0
 urllib3==1.26.14
 uvicorn==0.21.1
--e git+https://github.com/drew2323/v2trading.git@1f85b271dba2b9baf2c61b591a08849e9d684374#egg=v2realbot
+-e git+https://github.com/drew2323/v2trading.git@78f2162d59753c243e374dd52c305e111affebb9#egg=v2realbot
 validators==0.20.0
 vectorbtpro @ file:///Users/davidbrazda/Downloads/vectorbt.pro-2024.2.22
 wcwidth==0.2.9

research/get_trades_at_once.ipynb

@@ -402,7 +402,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.10.11"
   }
  },
  "nbformat": 4,

research/strat_LINREG_MULTI/v1_SINGLE.ipynb

@@ -44661,7 +44661,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.10.11"
   }
  },
  "nbformat": 4,

research/strat_ORDER_IMBALANCE/v2_SINGLE.ipynb

@@ -211,6 +211,13 @@
     "t1data.data[\"BAC\"].info()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 20,
@@ -1691,7 +1698,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.10"
+   "version": "3.10.11"
   }
  },
  "nbformat": 4,

testdoc.md

@@ -1,107 +0,0 @@
-# Plotly
-
-* MAKE_SUBPLOT Defines layout (if more then 1x1 or secondary y axis are required)
-
-```python
-fig = vbt.make_subplots(rows=2, cols=1, shared_xaxes=True, 
-                        specs=[[{"secondary_y": True}], [{"secondary_y": False}]], 
-                        vertical_spacing=0.02, subplot_titles=("Row 1 title", "Row 2 title"))
-```
-
-Then the different [sr/df generic accessor](http://5.161.179.223:8000/static/js/vbt/api/generic/accessors/index.html#vectorbtpro.generic.accessors.GenericAccessor.areaplot) are added with ADD_TRACE_KWARGS and TRACE_KWARGS. Other types of plot available in [plotting module](http://5.161.179.223:8000/static/js/vbt/api/generic/plotting/index.html)
-
-```python
-#using accessor
-close.vbt.plot(fig=fig, add_trace_kwargs=dict(secondary_y=False,row=1, col=1), trace_kwargs=dict(line=dict(color="blue")))
-indvolume.vbt.barplot(fig=fig, add_trace_kwargs=dict(secondary_y=False, row=2, col=1))
-#using plotting module
-vbt.Bar(indvolume, fig=fig, add_trace_kwargs=dict(secondary_y=False, row=2, col=1))
-```
-
-* ADD_TRACE_KWARGS - determines positioning withing subplot
-```python
-add_trace_kwargs=dict(secondary_y=False,row=1, col=1)
-```
-* TRACE_KWARGS - other styling of trace
-```python
-trace_kwargs=dict(name="LONGS",
-                  line=dict(color="#ffe476"),
-                  marker=dict(color="limegreen"),
-                  fill=None,
-                  connectgaps=True)
-```
-
-## Example
-
-```python
-    fig = vbt.make_subplots(rows=2, cols=1, shared_xaxes=True, 
-                            specs=[[{"secondary_y": True}], [{"secondary_y": False}]], 
-                            vertical_spacing=0.02, subplot_titles=("Price and Indicators", "Volume"))
-
-    # Plotting the close price
-    close.vbt.plot(fig=fig, add_trace_kwargs=dict(secondary_y=False,row=1, col=1), trace_kwargs=dict(line=dict(color="blue")))
-```
-
-# Data
-## Resampling
-```python
-t1data = basic_data[['open', 'high', 'low', 'close', 'volume','vwap','buyvolume','sellvolume']].resample("1T")
-t1data = t1data.transform(lambda df: df.between_time('09:30', '16:00').dropna()) #main session data only, no nans
-
-t5data = basic_data[['open', 'high', 'low', 'close', 'volume','vwap','buyvolume','sellvolume']].resample("5T")
-t5data = t5data.transform(lambda df: df.between_time('09:30', '16:00').dropna())
-
-dailydata = basic_data[['open', 'high', 'low', 'close', 'volume', 'vwap']].resample("D").dropna()
-
-#realign 5min close to 1min so it can be compared with 1min
-t5data_close_realigned = t5data.close.vbt.realign_closing("1T").between_time('09:30', '16:00').dropna() 
-#same with open
-t5data.open.vbt.realign_opening("1h")
-```
-### Define resample function for custom column
-Example of custom feature config [Binance Data](http://5.161.179.223:8000/static/js/vbt/api/data/custom/binance/index.html#vectorbtpro.data.custom.binance.BinanceData.feature_config).
-Other [reduced functions available](http://5.161.179.223:8000/static/js/vbt/api/generic/nb/apply_reduce/index.html). (mean, min, max, median, nth ...)
-```python
-from vectorbtpro.utils.config import merge_dicts, Config, HybridConfig
-from vectorbtpro import _typing as tp
-from vectorbtpro.generic import nb as generic_nb
-
-_feature_config: tp.ClassVar[Config] = HybridConfig(
-    {
-        "buyvolume": dict(
-            resample_func=lambda self, obj, resampler: obj.vbt.resample_apply(
-                resampler,
-                generic_nb.sum_reduce_nb,
-            )
-        ),
-        "sellvolume": dict(
-            resample_func=lambda self, obj, resampler: obj.vbt.resample_apply(
-                resampler,
-                generic_nb.sum_reduce_nb,
-            )
-        )
-    }
-)
-
-basic_data._feature_config = _feature_config
-```
-
-### Validate resample
-```python
-t2dataclose = t2data.close.rename("15MIN - realigned").vbt.realign_closing("1T")
-fig = t1data.close.rename("1MIN").vbt.plot()
-t2data.close.rename("15MIN").vbt.plot(fig=fig)
-t2dataclose.vbt.plot(fig=fig)
-```
-## Persisting
-```python
-basic_data.to_parquet(partition_by="day", compression="gzip")  
-day_data = vbt.ParquetData.pull("BAC", filters=[("group", "==", "2024-05-03")]) 
-vbt.print_dir_tree("BTC-USD")#overeni directory structure
-```
-# Discover
-```python
-vbt.phelp(vbt.talib(“atr”).run) #parameters it accepts
-vbt.pdir(pf) - get available properties and methods
-vbt.pprint(basic_data) #to get correct shape, info about instance
-```