Hello,

when I type the following code line, I get the below error message:

S_0 = adj_close[train.index[-1].date()]

However, when I remove the part ".date()" the code works fine. Did anyone experience the same behaviour?

Thanks

KeyError Traceback (most recent call last) in 25 T = len(test) 26 N = len(test) ---> 27 S_0 = adj_close[train.index[-1].date()] 28 N_SIM = 1000 29 mu = train.mean()

~\Miniconda3\lib\site-packages\pandas\core\series.py in getitem(self, key) 880 881 elif key_is_scalar: --> 882 return self._get_value(key) 883 884 if (

~\Miniconda3\lib\site-packages\pandas\core\series.py in _get_value(self, label, takeable) 989 990 # Similar to Index.get_value, but we do not fall back to positional --> 991 loc = self.index.get_loc(label) 992 return self.index._get_values_for_loc(self, loc, label) 993

~\Miniconda3\lib\site-packages\pandas\core\indexes\datetimes.py in get_loc(self, key, method, tolerance) 620 else: 621 # unrecognized type --> 622 raise KeyError(key) 623 624 try:

KeyError: datetime.date(2019, 6, 28)

cc @erykml

I was following along with the code in chapt. 6, but the plot of the simulations seemed off; maybe I had a typo I couldn't spot.

I downloaded the jupyter notebook for chpt 6 and reran it and got similar results.

were my results. This pretty much matches what I get from the python notebook.

(Also, I recommended this book to our local library, and I see on their website it's on order (though I already have my hardcopy) :sunglasses: )

I am on a Windows unit. When I run the code from page 52 in Jupyter Notebook I get the error "No such file or directory". I am using the following Packages: Python==3.7.6 Anaconda Navigator==1.9.12 Backtrader==1.9.74.123 Cufflinks==0.17.3 Notebook==6.0.3 Numpy==1.18.1 Pandas==1.0.1 YFinance==0.1.54 BT Signal.pdf

df = df_all_dates.join(df[['adj_close']], how='left')
.fillna(method='ffill')
.asfreq('M')

This is the line with the error. It says df is not defined.

The line of code , df['log_rtn'] = np.log(df.adj_close/df.adj_close.shift(1)) , means adj_close divided by the next day. But in the book, Log return is log(Pt/ P(t-1)). So It has to be df['log_rtn'] =np.log(df.adj_close/df.adj_close.shift(-1))

`marks = ['o', "s", "x", "+"]

fig, ax = plt.subplots()

pf_results.plot(kind='scatter', x='volatility', y='returns', c='sharpe_ratio', cmap='RdYlGn', edgecolors='black', ax=ax) ax.set(xlabel='Volatility', ylabel='Expected Returns', title='Efficient Frontier') ax.plot(pf_vol_ef, pf_returns_ef, 'b--')

for asset_index in range(n_assets): ax.scatter(x=np.sqrt(cov_mat.iloc[asset_index, asset_index]), y=avg_returns[asset_index], marker=marks[asset_index], s=150, color='black', label=assets[asset_index]) ax.legend() plt.tight_layout() plt.show();`

Refer the attached image

Trying to run this code from chapter 10 and receiving and error.

performance_evaluation_report(learn)

AttributeError                            Traceback (most recent call last)
<ipython-input-28-8b0585476687> in <module>()
----> 1 performance_evaluation_report(learn)

<ipython-input-6-a6983da9cfee> in performance_evaluation_report(model, show_plot, labels, show_pr_curve)
     35     y_pred_prob = preds_valid.numpy()[:, 1]
     36 
---> 37     cm = metrics.confusion_matrix(y_test, y_pred)
     38     tn, fp, fn, tp = cm.ravel()
     39 

AttributeError: module 'fastai.metrics' has no attribute 'confusion_matrix'

Hi, I really like your book! Great concise examples with modern libraries.

Working through chpt 2 building the dashboard, it seems that I need to add cf.go_offline() otherwise the plot is never generated, and the call to qf.iplot() hangs in some retry loop that's trying to send an HTTP request to plotly. I suspect this API changed since the book was published?

Hi, in chapter two, I follow your code but when I try to use "Plot"

# plot results
cerebro.plot(iplot=True, volume=False)

I got following error

ReferenceError: IPython is not defined
    at eval (eval at runCodeHere (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/vendors~nteract_transforms.bundle.js:2:11583), <anonymous>:764:1)
    at runCodeHere (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/vendors~nteract_transforms.bundle.js:2:11583)
    at t.value (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/vendors~nteract_transforms.bundle.js:2:12015)
    at Di (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1299316)
    at Li (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1302238)
    at vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1315318
    at Object.t.unstable_runWithPriority (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:6091)
    at Sl (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1315252)
    at Cl (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1315028)
    at wl (vscode-resource://file///c%3A/Users/mojTaba/.vscode/extensions/ms-python.python-2020.3.69010/out/datascience-ui/notebook/commons.initial.bundle.js:2:1314373)

All other parts work as expected.

In using the code for chapter 4 cell #15 the shell commands '!unzip' and '!rm' give an error "not recognized as an internal or external command". Do you know of a solution. I am not that familiar with shell commands.

download the zip file from Prof. French's website

!wget http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/F-F_Research_Data_Factors_CSV.zip

unpack the zip

!unzip -a F-F_Research_Data_Factors_CSV.zip

remove the zip

!rm F-F_Research_Data_Factors_CSV.zip --2020-05-04 17:21:39-- http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/F-F_Research_Data_Factors_CSV.zip Resolving mba.tuck.dartmouth.edu... 129.170.171.144 Connecting to mba.tuck.dartmouth.edu|129.170.171.144|:80... connected. HTTP request sent, awaiting response... 200 OK Length: 12389 (12K) [application/x-zip-compressed] Saving to: `F-F_Research_Data_Factors_CSV.zip.7'

 0K .......... ..                                         100% 34.4M=0s

2020-05-04 17:21:39 (34.4 MB/s) - `F-F_Research_Data_Factors_CSV.zip.7' saved [12389/12389]

'unzip' is not recognized as an internal or external command, operable program or batch file. 'rm' is not recognized as an internal or external command, operable program or batch file.

Hello!

Below is the code error that I receive when running the last block of code for the 'Backtesting a strategy based on simple moving average' section of chapter 2 (Signal section) of Python for Finance Cookbook.

The input is:

print(f'Starting Portfolio Value: {cerebro.broker.getvalue():.2f}') cerebro.run() print(f'Final Portfolio Value: {cerebro.broker.getvalue():.2f}')

The output is:

Starting Portfolio Value: 1000.00

FileNotFoundError Traceback (most recent call last) /var/folders/ys/kp32whkx5bn9nwysmmsrhb5w0000gn/T/ipykernel_57259/3974036464.py in 1 print(f'Starting Portfolio Value: {cerebro.broker.getvalue():.2f}') ----> 2 cerebro.run() 3 print(f'Final Portfolio Value: {cerebro.broker.getvalue():.2f}')

/opt/anaconda3/lib/python3.9/site-packages/backtrader/cerebro.py in run(self, **kwargs) 1125 # let's skip process "spawning" 1126 for iterstrat in iterstrats: -> 1127 runstrat = self.runstrategies(iterstrat) 1128 self.runstrats.append(runstrat) 1129 if self._dooptimize:

/opt/anaconda3/lib/python3.9/site-packages/backtrader/cerebro.py in runstrategies(self, iterstrat, predata) 1208 if self._exactbars < 1: # datas can be full length 1209 data.extend(size=self.params.lookahead) -> 1210 data._start() 1211 if self._dopreload: 1212 data.preload()

/opt/anaconda3/lib/python3.9/site-packages/backtrader/feed.py in _start(self) 201 202 def _start(self): --> 203 self.start() 204 205 if not self._started:

/opt/anaconda3/lib/python3.9/site-packages/backtrader/feeds/yahoo.py in start(self) 353 354 # Prepared a "path" file - CSV Parser can take over --> 355 super(YahooFinanceData, self).start() 356 357

/opt/anaconda3/lib/python3.9/site-packages/backtrader/feeds/yahoo.py in start(self) 92 93 def start(self): ---> 94 super(YahooFinanceCSVData, self).start() 95 96 if not self.params.reverse:

/opt/anaconda3/lib/python3.9/site-packages/backtrader/feed.py in start(self) 672 else: 673 # Let an exception propagate to let the caller know --> 674 self.f = io.open(self.p.dataname, 'r') 675 676 if self.p.headers:

FileNotFoundError: [Errno 2] No such file or directory: 'BA'

I used a different stock to run the code. It keeps referring to the line 'cerebro.run()' and I've looked to see if there's another way to run the code but I've come up short. Advice?

System Mac OS Monterey Python 3.9.7