Hugging Face's logo

Spaces:
NX-AI
/
TiRex-demo
Running on T4

App Files Community
Nikita commited on
Commit
dd32739
·
1 Parent(s): 7fb6e58

requirements.txt

Browse files
Files changed (10) hide show
  1. .DS_Store +0 -0
  2. .gitignore +1 -0
  3. app.py +23 -7
  4. data/stocks_data.csv +0 -0
  5. data/stocks_data_noindex.csv +0 -0
  6. requirements.txt +21 -0
  7. stocks_data.csv +0 -11
  8. stocks_data_forecast.pt +0 -0
  9. stocks_data_noindex.csv +0 -11
  10. test.ipynb +1473 -12
.DS_Store CHANGED
Binary files a/.DS_Store and b/.DS_Store differ
 
.gitignore ADDED
@@ -0,0 +1 @@
 
 
1
+ test.ipynb
app.py CHANGED
@@ -8,13 +8,14 @@ import gradio as gr
8
  import os
9
  from plotly.subplots import make_subplots
10
 
11
- # from tirex import load_model, ForecastModel
12
 
13
  # ----------------------------
14
  # Helper functions (logic mostly unchanged)
15
  # ----------------------------
16
 
17
  torch.manual_seed(42)
 
18
 
19
  def model_forecast(input_data, forecast_length=256, file_name=None):
20
  if os.path.basename(file_name) == "loop.csv":
@@ -27,10 +28,8 @@ def model_forecast(input_data, forecast_length=256, file_name=None):
27
  _forecast_tensor = torch.load("data/air_passengers_forecast_512.pt")
28
  return _forecast_tensor[:,:forecast_length,:]
29
  else:
30
- # model: ForecastModel = load_model("NX-AI/TiRex",device='cuda')
31
- # forecast = model.forecast(context=input_data, prediction_length=forecast_length)
32
- # return forecast[0]
33
- pass
34
 
35
 
36
 
@@ -214,6 +213,11 @@ def display_filtered_forecast(file, preset_filename, selected_names, forecast_le
214
  df = load_table(preset_filename)
215
  file_name = preset_filename
216
 
 
 
 
 
 
217
  # 3) Determine whether first column is names or numeric
218
  if (
219
  df.shape[1] > 0
@@ -234,6 +238,8 @@ def display_filtered_forecast(file, preset_filename, selected_names, forecast_le
234
  filtered_data = data_only.iloc[mask, :].values # shape = (n_selected, seq_len)
235
  filtered_names = [all_names[i] for i, m in enumerate(mask) if m]
236
  n_selected = filtered_data.shape[0]
 
 
237
 
238
  # 5) First call model_forecast on all series, then select only the masked rows
239
  full_data = data_only.values # shape = (n_all, seq_len)
@@ -244,12 +250,19 @@ def display_filtered_forecast(file, preset_filename, selected_names, forecast_le
244
  inp = torch.tensor(filtered_data)
245
 
246
  # 6) Create one subplot per selected series, with vertical spacing
 
 
247
  fig = make_subplots(
248
  rows=n_selected,
249
  cols=1,
250
  shared_xaxes=False,
251
- vertical_spacing=0.3, # more space between subplots
252
- subplot_titles=filtered_names
 
 
 
 
 
253
  )
254
 
255
  for idx in range(n_selected):
@@ -344,6 +357,8 @@ def display_filtered_forecast(file, preset_filename, selected_names, forecast_le
344
  )
345
 
346
  return fig, ""
 
 
347
 
348
  except Exception as e:
349
  return None, f"Error: {str(e)}"
@@ -482,3 +497,4 @@ gradio app.py
482
  ssh -L 7860:localhost:7860 nikita_blago@oracle-gpu-controller -t \
483
  ssh -L 7860:localhost:7860 compute-permanent-node-83
484
  '''
 
 
8
  import os
9
  from plotly.subplots import make_subplots
10
 
11
+ from tirex import load_model, ForecastModel
12
 
13
  # ----------------------------
14
  # Helper functions (logic mostly unchanged)
15
  # ----------------------------
16
 
17
  torch.manual_seed(42)
18
+ model: ForecastModel = load_model("NX-AI/TiRex",device='cuda')
19
 
20
  def model_forecast(input_data, forecast_length=256, file_name=None):
21
  if os.path.basename(file_name) == "loop.csv":
 
28
  _forecast_tensor = torch.load("data/air_passengers_forecast_512.pt")
29
  return _forecast_tensor[:,:forecast_length,:]
30
  else:
31
+ forecast = model.forecast(context=input_data, prediction_length=forecast_length)
32
+ return forecast[0]
 
 
33
 
34
 
35
 
 
213
  df = load_table(preset_filename)
214
  file_name = preset_filename
215
 
216
+ if df.shape[1]>2048:
217
+ df = df.iloc[:,-2048:]
218
+ gr.Info("Maximum of 2048 steps per timeseries (row) is allowed, hence last 2048 kept. ℹ️", duration=5)
219
+
220
+
221
  # 3) Determine whether first column is names or numeric
222
  if (
223
  df.shape[1] > 0
 
238
  filtered_data = data_only.iloc[mask, :].values # shape = (n_selected, seq_len)
239
  filtered_names = [all_names[i] for i, m in enumerate(mask) if m]
240
  n_selected = filtered_data.shape[0]
241
+ if n_selected>30:
242
+ raise gr.Error("Maximum of 30 timeseries (rows) is possible to choose", duration=5)
243
 
244
  # 5) First call model_forecast on all series, then select only the masked rows
245
  full_data = data_only.values # shape = (n_all, seq_len)
 
250
  inp = torch.tensor(filtered_data)
251
 
252
  # 6) Create one subplot per selected series, with vertical spacing
253
+ subplot_height_px = 350 # px per subplot
254
+ n_selected = len(filtered_names)
255
  fig = make_subplots(
256
  rows=n_selected,
257
  cols=1,
258
  shared_xaxes=False,
259
+ subplot_titles=filtered_names,
260
+ row_heights=[1] * n_selected, # all rows equal height
261
+ )
262
+ fig.update_layout(
263
+ height=subplot_height_px * n_selected,
264
+ template="plotly_dark",
265
+ margin=dict(t=50, b=50)
266
  )
267
 
268
  for idx in range(n_selected):
 
357
  )
358
 
359
  return fig, ""
360
+ except gr.Error as e:
361
+ raise gr.Error(e, duration=5)
362
 
363
  except Exception as e:
364
  return None, f"Error: {str(e)}"
 
497
  ssh -L 7860:localhost:7860 nikita_blago@oracle-gpu-controller -t \
498
  ssh -L 7860:localhost:7860 compute-permanent-node-83
499
  '''
500
+
data/stocks_data.csv ADDED
The diff for this file is too large to render. See raw diff
 
data/stocks_data_noindex.csv ADDED
The diff for this file is too large to render. See raw diff
 
requirements.txt ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ --index-url https://download.pytorch.org/whl/cu126
2
+ --extra-index-url https://pypi.org/simple
3
+
4
+ torch~=2.6.0
5
+ torchvision~=0.21.0
6
+ torchaudio~=2.6.0
7
+
8
+ pre-commit
9
+ xlstm~=2.0.3
10
+ einops~=0.8.1
11
+ huggingface-hub~=0.32.0
12
+ lightning~=2.5.1
13
+ numpy~=2.1.3
14
+ pandas~=2.2.3
15
+ dacite~=1.9.2
16
+ pytest
17
+
18
+ # Additional packages based on imports
19
+ plotly
20
+ Pillow
21
+ gradio
stocks_data.csv DELETED
@@ -1,11 +0,0 @@
1
- Ticker,2024-12-04,2024-12-05,2024-12-06,2024-12-09,2024-12-10,2024-12-11,2024-12-12,2024-12-13,2024-12-16,2024-12-17,2024-12-18,2024-12-19,2024-12-20,2024-12-23,2024-12-24,2024-12-26,2024-12-27,2024-12-30,2024-12-31,2025-01-02,2025-01-03,2025-01-06,2025-01-07,2025-01-08,2025-01-10,2025-01-13,2025-01-14,2025-01-15,2025-01-16,2025-01-17,2025-01-21,2025-01-22,2025-01-23,2025-01-24,2025-01-27,2025-01-28,2025-01-29,2025-01-30,2025-01-31,2025-02-03,2025-02-04,2025-02-05,2025-02-06,2025-02-07,2025-02-10,2025-02-11,2025-02-12,2025-02-13,2025-02-14,2025-02-18,2025-02-19,2025-02-20,2025-02-21,2025-02-24,2025-02-25,2025-02-26,2025-02-27,2025-02-28,2025-03-03,2025-03-04,2025-03-05,2025-03-06,2025-03-07,2025-03-10,2025-03-11,2025-03-12,2025-03-13,2025-03-14,2025-03-17,2025-03-18,2025-03-19,2025-03-20,2025-03-21,2025-03-24,2025-03-25,2025-03-26,2025-03-27,2025-03-28,2025-03-31,2025-04-01,2025-04-02,2025-04-03,2025-04-04,2025-04-07,2025-04-08,2025-04-09,2025-04-10,2025-04-11,2025-04-14,2025-04-15,2025-04-16,2025-04-17,2025-04-21,2025-04-22,2025-04-23,2025-04-24,2025-04-25,2025-04-28,2025-04-29,2025-04-30,2025-05-01,2025-05-02,2025-05-05,2025-05-06,2025-05-07,2025-05-08,2025-05-09,2025-05-12,2025-05-13,2025-05-14,2025-05-15,2025-05-16,2025-05-19,2025-05-20,2025-05-21,2025-05-22,2025-05-23,2025-05-27,2025-05-28,2025-05-29,2025-05-30,2025-06-02,2025-06-03,2025-06-04
2
- AAPL,242.42520141601562,242.4551239013672,242.25559997558594,246.1562042236328,247.1737518310547,245.89682006835938,247.36329650878906,247.5328826904297,250.4358673095703,252.8699951171875,247.4530792236328,249.1888885498047,253.87759399414062,254.6557159423828,257.57867431640625,258.39666748046875,254.9749298095703,251.5930938720703,249.8173828125,243.26319885253906,242.7743682861328,244.41041564941406,241.62713623046875,242.11593627929688,236.280029296875,233.83592224121094,232.71861267089844,237.2975616455078,227.710693359375,229.4265594482422,222.10421752929688,223.29135131835938,223.1217803955078,222.24388122558594,229.3068389892578,237.68663024902344,238.78399658203125,237.0182342529297,235.4320831298828,227.4613037109375,232.23977661132812,231.9105682373047,232.6587677001953,227.08221435546875,227.3518524169922,232.3153533935547,236.55978393554688,241.21368408203125,244.2796630859375,244.14984130859375,244.54930114746094,245.508056640625,245.22842407226562,246.77639770507812,246.71646118164062,240.0452117919922,236.98922729492188,241.5232696533203,237.71826171875,235.6210174560547,235.4312744140625,235.0218048095703,238.7569122314453,227.1820831298828,220.55078125,216.69583129882812,209.4053955078125,213.21041870117188,213.71974182128906,212.4114532470703,214.95811462402344,213.81961059570312,217.98414611816406,220.44091796875,223.45697021484375,221.2398681640625,223.5568389892578,217.6146240234375,221.83909606933594,222.897705078125,223.59678649902344,202.9239044189453,188.13330078125,181.2223663330078,172.19419860839844,198.58958435058594,190.17062377929688,197.89048767089844,202.25477600097656,201.87527465820312,194.0155792236328,196.72203063964844,192.9070281982422,199.47842407226562,204.33206176757812,208.09710693359375,209.00592041015625,209.8647918701172,210.9333953857422,212.22171020507812,213.04063415527344,205.08106994628906,198.62953186035156,198.25001525878906,195.99298095703125,197.2313690185547,198.27000427246094,210.7899932861328,212.92999267578125,212.3300018310547,211.4499969482422,211.25999450683594,208.77999877929688,206.86000061035156,202.08999633789062,201.36000061035156,195.27000427246094,200.2100067138672,200.4199981689453,199.9499969482422,200.85000610351562,201.6999969482422,203.27000427246094,203.1501007080078
3
- AMZN,218.16000366210938,220.5500030517578,227.02999877929688,226.08999633789062,225.0399932861328,230.25999450683594,228.97000122070312,227.4600067138672,232.92999267578125,231.14999389648438,220.52000427246094,223.2899932861328,224.9199981689453,225.05999755859375,229.0500030517578,227.0500030517578,223.75,221.3000030517578,219.38999938964844,220.22000122070312,224.19000244140625,227.61000061035156,222.11000061035156,222.1300048828125,218.94000244140625,218.4600067138672,217.75999450683594,223.35000610351562,220.66000366210938,225.94000244140625,230.7100067138672,235.00999450683594,235.4199981689453,234.85000610351562,235.4199981689453,238.14999389648438,237.07000732421875,234.63999938964844,237.67999267578125,237.4199981689453,242.05999755859375,236.1699981689453,238.8300018310547,229.14999389648438,233.13999938964844,232.75999450683594,228.92999267578125,230.3699951171875,228.67999267578125,226.64999389648438,226.6300048828125,222.8800048828125,216.5800018310547,212.7100067138672,212.8000030517578,214.35000610351562,208.74000549316406,212.27999877929688,205.02000427246094,203.8000030517578,208.36000061035156,200.6999969482422,199.25,194.5399932861328,196.58999633789062,198.88999938964844,193.88999938964844,197.9499969482422,195.74000549316406,192.82000732421875,195.5399932861328,194.9499969482422,196.2100067138672,203.25999450683594,205.7100067138672,201.1300048828125,201.36000061035156,192.72000122070312,190.25999450683594,192.1699981689453,196.00999450683594,178.41000366210938,171.0,175.25999450683594,170.66000366210938,191.10000610351562,181.22000122070312,184.8699951171875,182.1199951171875,179.58999633789062,174.3300018310547,172.61000061035156,167.32000732421875,173.17999267578125,180.60000610351562,186.5399932861328,188.99000549316406,187.6999969482422,187.38999938964844,184.4199981689453,190.1999969482422,189.97999572753906,186.35000610351562,185.00999450683594,188.7100067138672,192.0800018310547,193.05999755859375,208.63999938964844,211.3699951171875,210.25,205.1699981689453,205.58999633789062,206.16000366210938,204.07000732421875,201.1199951171875,203.10000610351562,200.99000549316406,206.02000427246094,204.72000122070312,205.6999969482422,205.00999450683594,206.64999389648438,205.7100067138672,207.4720001220703
4
- GOOGL,173.9700164794922,172.24400329589844,174.30926513671875,175.1682586669922,184.9569854736328,195.1752166748047,191.7391815185547,189.6016387939453,196.43377685546875,195.1951904296875,188.18325805664062,188.2931365966797,191.18980407714844,194.40611267089844,195.8843994140625,195.375,192.5382537841797,191.02000427246094,189.08224487304688,189.2120819091797,191.56936645507812,196.64352416992188,195.26512145996094,193.7268829345703,191.81907653808594,190.79026794433594,189.4418182373047,195.32504272460938,192.68807983398438,195.77452087402344,197.82217407226562,198.1417999267578,197.7522430419922,199.9796905517578,191.58934020996094,195.07533264160156,195.18521118164062,200.638916015625,203.78530883789062,200.99850463867188,206.14259338378906,191.1099090576172,191.3795928955078,185.1267852783203,186.2554931640625,185.10682678222656,183.39878845214844,185.92587280273438,185.01690673828125,183.55859375,185.05686950683594,184.34768676757812,179.4533233642578,179.04379272460938,175.21820068359375,172.5312957763672,168.30616760253906,170.0841064453125,166.81787109375,170.72337341308594,172.8209686279297,172.1517333984375,173.66000366210938,165.8699951171875,164.0399932861328,167.11000061035156,162.75999450683594,165.49000549316406,164.2899932861328,160.6699981689453,163.88999938964844,162.8000030517578,163.99000549316406,167.67999267578125,170.55999755859375,165.05999755859375,162.24000549316406,154.3300018310547,154.63999938964844,157.07000732421875,157.0399932861328,150.72000122070312,145.60000610351562,146.75,144.6999969482422,158.7100067138672,152.82000732421875,157.13999938964844,159.07000732421875,156.30999755859375,153.3300018310547,151.16000366210938,147.6699981689453,151.47000122070312,155.35000610351562,159.27999877929688,161.9600067138672,160.61000061035156,160.16000366210938,158.8000030517578,161.3000030517578,164.02999877929688,164.2100067138672,163.22999572753906,151.3800048828125,154.27999877929688,152.75,158.4600067138672,159.52999877929688,165.3699951171875,163.9600067138672,166.19000244140625,166.5399932861328,163.97999572753906,168.55999755859375,170.8699951171875,168.47000122070312,172.89999389648438,172.36000061035156,171.86000061035156,171.74000549316406,169.02999877929688,166.17999267578125,167.78500366210938
5
- JNJ,148.00625610351562,147.0718231201172,146.86526489257812,147.1505126953125,146.78656005859375,144.2389678955078,143.8455352783203,144.21929931640625,141.49465942382812,144.0127410888672,142.3799285888672,141.2290802001953,142.10450744628906,142.8914031982422,143.4619140625,143.19631958007812,142.67501831054688,140.9929962158203,142.25204467773438,141.661865234375,141.8291015625,141.30776977539062,143.83567810058594,139.94052124023438,139.7339630126953,142.10450744628906,142.3799285888672,142.5963134765625,145.3504638671875,144.62258911132812,145.7242431640625,142.8914031982422,144.2389678955078,144.41604614257812,150.38662719726562,147.91775512695312,148.6751251220703,150.36695861816406,149.65875244140625,149.3833465576172,150.97682189941406,152.1571807861328,150.99649047851562,150.6128692626953,151.71453857421875,153.57359313964844,152.71783447265625,154.67526245117188,153.59324645996094,153.67257690429688,156.5479278564453,158.3227081298828,160.92044067382812,162.34820556640625,164.67822265625,161.69381713867188,162.33828735351562,163.61732482910156,165.8581085205078,164.013916015625,163.71646118164062,164.42044067382812,165.27313232421875,166.2745361328125,164.45018005371094,161.4657745361328,161.60458374023438,161.4261016845703,161.4558563232422,162.85386657714844,161.60458374023438,161.6343231201172,162.2391357421875,161.9020233154297,159.6513214111328,160.34536743164062,161.74339294433594,162.31846618652344,164.4303436279297,151.94737243652344,154.0394287109375,158.46153259277344,151.9374542236328,149.3397216796875,148.72499084472656,149.68675231933594,147.42613220214844,150.44029235839844,153.0479278564453,152.31422424316406,152.6017608642578,156.13150024414062,155.58616638183594,156.40911865234375,154.05926513671875,153.6130828857422,153.2660675048828,154.02952575683594,154.5847625732422,154.98135375976562,153.1470947265625,154.79296875,153.6824951171875,153.15699768066406,155.96295166015625,154.33688354492188,152.90911865234375,152.82980346679688,147.17825317382812,145.11593627929688,148.3383026123047,150.04368591308594,151.19383239746094,152.3538818359375,151.87796020507812,151.31280517578125,151.63999938964844,153.25,152.42999267578125,153.5800018310547,155.2100067138672,155.39999389648438,154.4199981689453,153.4199981689453
6
- JPM,240.6669921875,242.7236328125,244.58251953125,241.0723876953125,240.133056640625,240.7955322265625,238.81797790527344,237.245849609375,236.889892578125,235.68359375,227.78329467773438,230.34422302246094,234.93212890625,235.7132568359375,239.5892333984375,240.409912109375,238.4620361328125,236.6328125,237.0184326171875,237.30517578125,240.54833984375,239.3755645751953,241.6813507080078,241.6416015625,238.40155029296875,242.71499633789062,245.9550323486328,250.80516052246094,252.71340942382812,257.573486328125,261.4197692871094,261.2309265136719,264.3219299316406,263.21868896484375,264.2225341796875,265.504638671875,264.9480285644531,266.58795166015625,265.66363525390625,265.1766357421875,266.2997131347656,268.77447509765625,275.2048645019531,274.1116027832031,269.3807373046875,273.3065490722656,273.7637634277344,274.62841796875,274.8967590332031,278.2362060546875,277.5404968261719,265.16668701171875,262.62237548828125,259.7401123046875,255.82423400878906,257.20574951171875,257.4641418457031,263.02984619140625,259.0245361328125,248.718017578125,249.99017333984375,245.0307159423828,240.7967987060547,230.79840087890625,227.73724365234375,226.5048370361328,223.81143188476562,231.0170440673828,232.49790954589844,233.53155517578125,237.64620971679688,237.54681396484375,240.15078735351562,246.5414276123047,249.59263610839844,249.4932403564453,246.60104370117188,241.3633270263672,243.79832458496094,242.16836547851562,244.3151397705078,227.29000854492188,210.27999877929688,214.44000244140625,216.8699951171875,234.33999633789062,227.11000061035156,236.1999969482422,234.72000122070312,233.1300048828125,229.61000061035156,231.9600067138672,228.99000549316406,235.58999633789062,240.8800048828125,244.63999938964844,243.5500030517578,243.22000122070312,244.6199951171875,244.6199951171875,246.88999938964844,252.50999450683594,252.55999755859375,249.25,249.38999938964844,253.47000122070312,253.0800018310547,260.04998779296875,263.010009765625,265.6400146484375,267.489990234375,267.55999755859375,264.8800048828125,265.67999267578125,261.0400085449219,260.6700134277344,260.7099914550781,265.2900085449219,263.489990234375,264.3699951171875,264.0,264.6600036621094,266.2699890136719,265.06500244140625
7
- META,612.7401733398438,607.8983764648438,622.7132568359375,612.530517578125,618.2708129882812,631.608154296875,629.7213745117188,619.299072265625,623.6851196289062,618.889404296875,596.6591796875,595.0405883789062,584.7297973632812,599.3167724609375,607.2097778320312,602.8136596679688,599.27685546875,590.7144165039062,584.9895629882812,598.7073364257812,604.092529296875,629.6398315429688,617.3407592773438,610.1771240234375,615.3125610351562,607.789306640625,593.7218017578125,616.5714721679688,610.756591796875,612.225341796875,615.9120483398438,622.94580078125,635.88427734375,646.9144287109375,659.29345703125,673.7305908203125,675.888671875,686.3893432617188,688.5673828125,696.840087890625,703.5640869140625,704.2434692382812,711.3571166992188,713.8848876953125,716.7623291015625,719.16015625,724.7352294921875,727.9124145507812,736.0151977539062,715.7332153320312,703.1444702148438,694.222412109375,682.9423828125,667.5361328125,656.9155883789062,673.1011962890625,657.6549072265625,667.6060791015625,654.4677124023438,639.4310913085938,655.886474609375,627.371826171875,625.1038208007812,597.4584350585938,605.171630859375,619.00927734375,590.114990234375,607.5999755859375,604.9000244140625,582.3599853515625,584.0599975585938,586.0,596.25,618.8499755859375,626.3099975585938,610.97998046875,602.5800170898438,576.739990234375,576.3599853515625,586.0,583.9299926757812,531.6199951171875,504.7300109863281,516.25,510.45001220703125,585.77001953125,546.2899780273438,543.5700073242188,531.47998046875,521.52001953125,502.30999755859375,501.4800109863281,484.6600036621094,500.2799987792969,520.27001953125,533.1500244140625,547.27001953125,549.739990234375,554.4400024414062,549.0,572.2100219726562,597.02001953125,599.27001953125,587.3099975585938,596.8099975585938,598.010009765625,592.489990234375,639.4299926757812,656.030029296875,659.3599853515625,643.8800048828125,640.3400268554688,640.4299926757812,637.0999755859375,635.5,636.5700073242188,627.0599975585938,642.3200073242188,643.5800170898438,645.0499877929688,647.489990234375,670.9000244140625,666.8499755859375,685.1599731445312
8
- MSFT,435.7447204589844,440.9248046875,441.87115478515625,444.311767578125,441.6320495605469,447.2704162597656,447.83819580078125,445.5569763183594,449.86041259765625,452.7194519042969,435.71484375,435.356201171875,434.9278869628906,433.5830383300781,437.64739990234375,436.43206787109375,428.881103515625,423.2029113769531,419.88568115234375,416.97686767578125,421.7286071777344,426.21136474609375,420.7523498535156,422.9339599609375,417.345458984375,415.5921936035156,414.0780334472656,424.67724609375,422.953857421875,427.3868408203125,426.85888671875,444.4910888671875,444.9991149902344,442.3592834472656,432.8956604003906,445.4872741699219,440.6358947753906,413.4006042480469,413.4703369140625,409.3462219238281,410.7906494140625,411.7071228027344,414.2274475097656,408.1806945800781,410.6412048339844,409.86419677734375,407.473388671875,408.9676513671875,406.86572265625,408.07110595703125,413.1814270019531,415.3674621582031,407.4619445800781,403.2596740722656,397.17083740234375,398.99749755859375,391.8106994628906,396.26251220703125,387.778076171875,387.8978576660156,400.2851257324219,396.1627197265625,392.5892639160156,379.46337890625,379.7528381347656,382.5676574707031,378.0758972167969,387.84796142578125,387.98773193359375,382.81719970703125,387.1093444824219,386.131103515625,390.54302978515625,392.35968017578125,394.4358825683594,389.2554016113281,389.8642578125,378.1058349609375,374.7021179199219,381.4896545410156,381.43975830078125,372.42626953125,359.18060302734375,357.2042236328125,353.9102783203125,389.7744140625,380.65118408203125,387.7381896972656,387.0993347167969,385.0231628417969,370.92901611328125,367.1060485839844,358.4619140625,366.1478271484375,373.7039489746094,386.59027099609375,391.1319580078125,390.4432067871094,393.31793212890625,394.53570556640625,424.6204528808594,434.48236083984375,435.3707275390625,432.5159606933594,432.555908203125,437.3670654296875,437.9260559082031,448.4367370605469,448.3169860839844,452.1099853515625,453.1300048828125,454.2699890136719,458.8699951171875,458.1700134277344,452.57000732421875,454.8599853515625,450.17999267578125,460.69000244140625,457.3599853515625,458.67999267578125,460.3599853515625,461.9700012207031,462.9700012207031,464.19000244140625
9
- NVDA,145.1166534423828,145.04666137695312,142.42689514160156,138.79722595214844,135.05758666992188,139.29718017578125,137.32736206054688,134.23765563964844,131.98785400390625,130.3780059814453,128.8981475830078,130.66796875,134.68760681152344,139.6571502685547,140.2071075439453,139.91712951660156,136.9973907470703,137.47735595703125,134.27764892578125,138.29727172851562,144.4567108154297,149.41624450683594,140.12710571289062,140.0971221923828,135.8975067138672,133.21774291992188,131.7478790283203,136.22747802734375,133.55772399902344,137.6973419189453,140.81704711914062,147.05648803710938,147.2064666748047,142.60687255859375,118.40910339355469,128.9781494140625,123.6886215209961,124.63853454589844,120.0589599609375,116.64927673339844,118.63909149169922,124.81851959228516,128.66815185546875,129.8280487060547,133.55772399902344,132.7877960205078,131.12794494628906,135.27755737304688,138.8372344970703,139.38717651367188,139.21719360351562,140.0971221923828,134.41763305664062,130.2680206298828,126.61835479736328,131.26792907714844,120.13895416259766,124.90850830078125,114.04950714111328,115.97933197021484,117.28921508789062,110.55982971191406,112.67964172363281,106.97016143798828,108.75,115.73999786376953,115.58000183105469,121.66999816894531,119.52999877929688,115.43000030517578,117.5199966430664,118.52999877929688,117.69999694824219,121.41000366210938,120.69000244140625,113.76000213623047,111.43000030517578,109.66999816894531,108.37999725341797,110.1500015258789,110.41999816894531,101.80000305175781,94.30999755859375,97.63999938964844,96.30000305175781,114.33000183105469,107.56999969482422,110.93000030517578,110.70999908447266,112.19999694824219,104.48999786376953,101.48999786376953,96.91000366210938,98.88999938964844,102.70999908447266,106.43000030517578,111.01000213623047,108.7300033569336,109.0199966430664,108.91999816894531,111.61000061035156,114.5,113.81999969482422,113.54000091552734,117.05999755859375,117.37000274658203,116.6500015258789,123.0,129.92999267578125,135.33999633789062,134.8300018310547,135.39999389648438,135.57000732421875,134.3800048828125,131.8000030517578,132.8300018310547,131.2899932861328,135.5,134.80999755859375,139.19000244140625,135.1300048828125,137.3800048828125,141.22000122070312,141.85499572753906
10
- TSLA,357.92999267578125,369.489990234375,389.2200012207031,389.7900085449219,400.989990234375,424.7699890136719,418.1000061035156,436.2300109863281,463.0199890136719,479.8599853515625,440.1300048828125,436.1700134277344,421.05999755859375,430.6000061035156,462.2799987792969,454.1300048828125,431.6600036621094,417.4100036621094,403.8399963378906,379.2799987792969,410.44000244140625,411.04998779296875,394.3599853515625,394.94000244140625,394.739990234375,403.30999755859375,396.3599853515625,428.2200012207031,413.82000732421875,426.5,424.07000732421875,415.1099853515625,412.3800048828125,406.5799865722656,397.1499938964844,398.0899963378906,389.1000061035156,400.2799987792969,404.6000061035156,383.67999267578125,392.2099914550781,378.1700134277344,374.32000732421875,361.6199951171875,350.7300109863281,328.5,336.510009765625,355.94000244140625,355.8399963378906,354.1099853515625,360.55999755859375,354.3999938964844,337.79998779296875,330.5299987792969,302.79998779296875,290.79998779296875,281.95001220703125,292.9800109863281,284.6499938964844,272.0400085449219,279.1000061035156,263.45001220703125,262.6700134277344,222.14999389648438,230.5800018310547,248.08999633789062,240.67999267578125,249.97999572753906,238.00999450683594,225.30999755859375,235.86000061035156,236.25999450683594,248.7100067138672,278.3900146484375,288.1400146484375,272.05999755859375,273.1300048828125,263.54998779296875,259.1600036621094,268.4599914550781,282.760009765625,267.2799987792969,239.42999267578125,233.2899932861328,221.86000061035156,272.20001220703125,252.39999389648438,252.30999755859375,252.35000610351562,254.11000061035156,241.5500030517578,241.3699951171875,227.5,237.97000122070312,250.74000549316406,259.510009765625,284.95001220703125,285.8800048828125,292.0299987792969,282.1600036621094,280.5199890136719,287.2099914550781,280.260009765625,275.3500061035156,276.2200012207031,284.82000732421875,298.260009765625,318.3800048828125,334.07000732421875,347.67999267578125,342.82000732421875,349.9800109863281,342.0899963378906,343.82000732421875,334.6199951171875,341.0400085449219,339.3399963378906,362.8900146484375,356.8999938964844,358.42999267578125,346.4599914550781,342.69000244140625,344.2699890136719,334.6716003417969
11
- V,308.866455078125,308.0491943359375,309.9727783203125,307.27178955078125,311.33819580078125,312.7434997558594,313.1820373535156,313.6903076171875,314.8365173339844,317.2384338378906,308.7468566894531,313.8298645019531,316.6504211425781,316.16204833984375,319.5805969238281,319.8397521972656,317.59722900390625,314.2584228515625,314.9859924316406,313.3514709472656,313.8597717285156,311.9960021972656,310.6305847167969,311.55743408203125,306.6837463378906,305.89642333984375,308.05914306640625,315.22515869140625,316.19195556640625,318.5540466308594,322.5506591796875,322.48089599609375,327.1153869628906,329.0987548828125,333.4242858886719,333.364501953125,334.75982666015625,341.9058837890625,340.6600646972656,344.66668701171875,343.9989013671875,348.27459716796875,346.3211364746094,346.85931396484375,350.05865478515625,350.13848876953125,350.9072265625,355.0403747558594,353.2233581542969,356.1385498046875,354.6410217285156,349.90887451171875,347.9521179199219,349.2799072265625,351.5062255859375,350.04864501953125,355.1501770019531,362.1086120605469,361.2200927734375,351.64599609375,352.0952453613281,343.5893859863281,344.7474670410156,340.913818359375,331.5893249511719,332.28814697265625,328.0052490234375,331.2498474121094,333.99530029296875,334.2149353027344,339.3064880371094,338.9371032714844,335.1034851074219,343.29986572265625,344.0486145019531,343.6093444824219,349.2799072265625,342.28155517578125,349.87890625,345.7757568359375,345.7557678222656,338.8273010253906,312.61083984375,311.80218505859375,307.7588806152344,331.8788146972656,324.07177734375,332.8471984863281,334.624267578125,335.2532043457031,330.7806396484375,329.0634765625,319.56927490234375,330.85052490234375,333.81561279296875,335.15338134765625,334.6142883300781,336.9504089355469,340.9537353515625,344.9271545410156,341.8822326660156,347.023681640625,348.06195068359375,347.1235046386719,349.26995849609375,350.68756103515625,351.9554748535156,355.260009765625,356.1400146484375,356.4599914550781,362.29998779296875,365.1199951171875,367.8999938964844,366.8399963378906,358.29998779296875,357.9700012207031,353.5400085449219,359.29998779296875,359.7300109863281,362.3999938964844,365.19000244140625,365.32000732421875,365.8599853515625,368.17999267578125
 
 
 
 
 
 
 
 
 
 
 
 
stocks_data_forecast.pt DELETED
Binary file (24.3 kB)
 
stocks_data_noindex.csv DELETED
@@ -1,11 +0,0 @@
1
- 2024-12-04,2024-12-05,2024-12-06,2024-12-09,2024-12-10,2024-12-11,2024-12-12,2024-12-13,2024-12-16,2024-12-17,2024-12-18,2024-12-19,2024-12-20,2024-12-23,2024-12-24,2024-12-26,2024-12-27,2024-12-30,2024-12-31,2025-01-02,2025-01-03,2025-01-06,2025-01-07,2025-01-08,2025-01-10,2025-01-13,2025-01-14,2025-01-15,2025-01-16,2025-01-17,2025-01-21,2025-01-22,2025-01-23,2025-01-24,2025-01-27,2025-01-28,2025-01-29,2025-01-30,2025-01-31,2025-02-03,2025-02-04,2025-02-05,2025-02-06,2025-02-07,2025-02-10,2025-02-11,2025-02-12,2025-02-13,2025-02-14,2025-02-18,2025-02-19,2025-02-20,2025-02-21,2025-02-24,2025-02-25,2025-02-26,2025-02-27,2025-02-28,2025-03-03,2025-03-04,2025-03-05,2025-03-06,2025-03-07,2025-03-10,2025-03-11,2025-03-12,2025-03-13,2025-03-14,2025-03-17,2025-03-18,2025-03-19,2025-03-20,2025-03-21,2025-03-24,2025-03-25,2025-03-26,2025-03-27,2025-03-28,2025-03-31,2025-04-01,2025-04-02,2025-04-03,2025-04-04,2025-04-07,2025-04-08,2025-04-09,2025-04-10,2025-04-11,2025-04-14,2025-04-15,2025-04-16,2025-04-17,2025-04-21,2025-04-22,2025-04-23,2025-04-24,2025-04-25,2025-04-28,2025-04-29,2025-04-30,2025-05-01,2025-05-02,2025-05-05,2025-05-06,2025-05-07,2025-05-08,2025-05-09,2025-05-12,2025-05-13,2025-05-14,2025-05-15,2025-05-16,2025-05-19,2025-05-20,2025-05-21,2025-05-22,2025-05-23,2025-05-27,2025-05-28,2025-05-29,2025-05-30,2025-06-02,2025-06-03,2025-06-04
2
- 242.42520141601562,242.4551239013672,242.25559997558594,246.1562042236328,247.1737518310547,245.89683532714844,247.36329650878906,247.5328826904297,250.43588256835938,252.8699951171875,247.4530792236328,249.1888885498047,253.87759399414062,254.6557159423828,257.57867431640625,258.39666748046875,254.9749298095703,251.59307861328125,249.81736755371094,243.26319885253906,242.7743682861328,244.41041564941406,241.62713623046875,242.11595153808594,236.28004455566406,233.83592224121094,232.71861267089844,237.2975616455078,227.710693359375,229.4265594482422,222.10421752929688,223.29136657714844,223.1217803955078,222.24388122558594,229.30685424804688,237.68663024902344,238.7839813232422,237.0182342529297,235.4320831298828,227.46128845214844,232.23977661132812,231.91058349609375,232.6587677001953,227.08221435546875,227.3518524169922,232.3153533935547,236.55978393554688,241.21368408203125,244.2796630859375,244.14984130859375,244.54930114746094,245.508056640625,245.22842407226562,246.77639770507812,246.71646118164062,240.0452117919922,236.98922729492188,241.5232696533203,237.71826171875,235.6210174560547,235.4312744140625,235.0218048095703,238.7569122314453,227.1820831298828,220.55078125,216.69583129882812,209.4053955078125,213.21041870117188,213.71974182128906,212.4114532470703,214.95811462402344,213.81961059570312,217.98414611816406,220.44091796875,223.45697021484375,221.2398681640625,223.5568389892578,217.6146240234375,221.83909606933594,222.897705078125,223.59678649902344,202.9239044189453,188.13330078125,181.2223663330078,172.19419860839844,198.58958435058594,190.17062377929688,197.89048767089844,202.25477600097656,201.87527465820312,194.0155792236328,196.72203063964844,192.9070281982422,199.47842407226562,204.33206176757812,208.09710693359375,209.00592041015625,209.8647918701172,210.9333953857422,212.22171020507812,213.04063415527344,205.08106994628906,198.62953186035156,198.25001525878906,195.99298095703125,197.2313690185547,198.27000427246094,210.7899932861328,212.92999267578125,212.3300018310547,211.4499969482422,211.25999450683594,208.77999877929688,206.86000061035156,202.08999633789062,201.36000061035156,195.27000427246094,200.2100067138672,200.4199981689453,199.9499969482422,200.85000610351562,201.6999969482422,203.27000427246094,202.95260620117188
3
- 218.16000366210938,220.5500030517578,227.02999877929688,226.08999633789062,225.0399932861328,230.25999450683594,228.97000122070312,227.4600067138672,232.92999267578125,231.14999389648438,220.52000427246094,223.2899932861328,224.9199981689453,225.05999755859375,229.0500030517578,227.0500030517578,223.75,221.3000030517578,219.38999938964844,220.22000122070312,224.19000244140625,227.61000061035156,222.11000061035156,222.1300048828125,218.94000244140625,218.4600067138672,217.75999450683594,223.35000610351562,220.66000366210938,225.94000244140625,230.7100067138672,235.00999450683594,235.4199981689453,234.85000610351562,235.4199981689453,238.14999389648438,237.07000732421875,234.63999938964844,237.67999267578125,237.4199981689453,242.05999755859375,236.1699981689453,238.8300018310547,229.14999389648438,233.13999938964844,232.75999450683594,228.92999267578125,230.3699951171875,228.67999267578125,226.64999389648438,226.6300048828125,222.8800048828125,216.5800018310547,212.7100067138672,212.8000030517578,214.35000610351562,208.74000549316406,212.27999877929688,205.02000427246094,203.8000030517578,208.36000061035156,200.6999969482422,199.25,194.5399932861328,196.58999633789062,198.88999938964844,193.88999938964844,197.9499969482422,195.74000549316406,192.82000732421875,195.5399932861328,194.9499969482422,196.2100067138672,203.25999450683594,205.7100067138672,201.1300048828125,201.36000061035156,192.72000122070312,190.25999450683594,192.1699981689453,196.00999450683594,178.41000366210938,171.0,175.25999450683594,170.66000366210938,191.10000610351562,181.22000122070312,184.8699951171875,182.1199951171875,179.58999633789062,174.3300018310547,172.61000061035156,167.32000732421875,173.17999267578125,180.60000610351562,186.5399932861328,188.99000549316406,187.6999969482422,187.38999938964844,184.4199981689453,190.1999969482422,189.97999572753906,186.35000610351562,185.00999450683594,188.7100067138672,192.0800018310547,193.05999755859375,208.63999938964844,211.3699951171875,210.25,205.1699981689453,205.58999633789062,206.16000366210938,204.07000732421875,201.1199951171875,203.10000610351562,200.99000549316406,206.02000427246094,204.72000122070312,205.6999969482422,205.00999450683594,206.64999389648438,205.7100067138672,207.14990234375
4
- 173.9700164794922,172.24398803710938,174.30926513671875,175.1682586669922,184.9569854736328,195.1752166748047,191.7391815185547,189.6016387939453,196.43377685546875,195.1951904296875,188.18325805664062,188.2931365966797,191.18980407714844,194.40611267089844,195.8843994140625,195.375,192.5382537841797,191.02000427246094,189.08224487304688,189.2120819091797,191.56936645507812,196.64352416992188,195.26512145996094,193.7268829345703,191.81907653808594,190.79026794433594,189.4418182373047,195.32504272460938,192.68807983398438,195.77452087402344,197.82217407226562,198.1417999267578,197.7522430419922,199.9796905517578,191.58934020996094,195.07533264160156,195.18521118164062,200.638916015625,203.78530883789062,200.99850463867188,206.14259338378906,191.1099090576172,191.3795928955078,185.1267852783203,186.2554931640625,185.10682678222656,183.39878845214844,185.92587280273438,185.01690673828125,183.55859375,185.05686950683594,184.34768676757812,179.4533233642578,179.04379272460938,175.21820068359375,172.5312957763672,168.30616760253906,170.0841064453125,166.81787109375,170.72337341308594,172.8209686279297,172.1517333984375,173.66000366210938,165.8699951171875,164.0399932861328,167.11000061035156,162.75999450683594,165.49000549316406,164.2899932861328,160.6699981689453,163.88999938964844,162.8000030517578,163.99000549316406,167.67999267578125,170.55999755859375,165.05999755859375,162.24000549316406,154.3300018310547,154.63999938964844,157.07000732421875,157.0399932861328,150.72000122070312,145.60000610351562,146.75,144.6999969482422,158.7100067138672,152.82000732421875,157.13999938964844,159.07000732421875,156.30999755859375,153.3300018310547,151.16000366210938,147.6699981689453,151.47000122070312,155.35000610351562,159.27999877929688,161.9600067138672,160.61000061035156,160.16000366210938,158.8000030517578,161.3000030517578,164.02999877929688,164.2100067138672,163.22999572753906,151.3800048828125,154.27999877929688,152.75,158.4600067138672,159.52999877929688,165.3699951171875,163.9600067138672,166.19000244140625,166.5399932861328,163.97999572753906,168.55999755859375,170.8699951171875,168.47000122070312,172.89999389648438,172.36000061035156,171.86000061035156,171.74000549316406,169.02999877929688,166.17999267578125,167.97000122070312
5
- 148.00625610351562,147.0718231201172,146.86526489257812,147.1505126953125,146.78656005859375,144.2389678955078,143.8455352783203,144.21929931640625,141.49465942382812,144.0127410888672,142.3799285888672,141.2290802001953,142.10450744628906,142.8914031982422,143.4619140625,143.19631958007812,142.67501831054688,140.9929962158203,142.25204467773438,141.661865234375,141.8291015625,141.30776977539062,143.83567810058594,139.94052124023438,139.7339630126953,142.10450744628906,142.3799285888672,142.5963134765625,145.3504638671875,144.62258911132812,145.7242431640625,142.8914031982422,144.2389678955078,144.41604614257812,150.38662719726562,147.91775512695312,148.6751251220703,150.36695861816406,149.65875244140625,149.3833465576172,150.97682189941406,152.1571807861328,150.99649047851562,150.6128692626953,151.71453857421875,153.57359313964844,152.71783447265625,154.67526245117188,153.59324645996094,153.67257690429688,156.5479278564453,158.3227081298828,160.92044067382812,162.34820556640625,164.67822265625,161.69381713867188,162.33828735351562,163.61732482910156,165.8581085205078,164.013916015625,163.71646118164062,164.42044067382812,165.27313232421875,166.2745361328125,164.45018005371094,161.4657745361328,161.60458374023438,161.4261016845703,161.4558563232422,162.85386657714844,161.60458374023438,161.6343231201172,162.2391357421875,161.9020233154297,159.6513214111328,160.34536743164062,161.74339294433594,162.31846618652344,164.4303436279297,151.94737243652344,154.0394287109375,158.46153259277344,151.9374542236328,149.3397216796875,148.72499084472656,149.68675231933594,147.42613220214844,150.44029235839844,153.0479278564453,152.31422424316406,152.6017608642578,156.13150024414062,155.58616638183594,156.40911865234375,154.05926513671875,153.6130828857422,153.2660675048828,154.02952575683594,154.5847625732422,154.98135375976562,153.1470947265625,154.79296875,153.6824951171875,153.15699768066406,155.96295166015625,154.33688354492188,152.90911865234375,152.82980346679688,147.17825317382812,145.11593627929688,148.3383026123047,150.04368591308594,151.19383239746094,152.3538818359375,151.87796020507812,151.31280517578125,151.63999938964844,153.25,152.42999267578125,153.5800018310547,155.2100067138672,155.39999389648438,154.4199981689453,153.6750030517578
6
- 240.6669921875,242.7236328125,244.58251953125,241.0723876953125,240.133056640625,240.7955322265625,238.81797790527344,237.245849609375,236.889892578125,235.68359375,227.78329467773438,230.34422302246094,234.93212890625,235.7132568359375,239.5892333984375,240.409912109375,238.4620361328125,236.6328125,237.0184326171875,237.30517578125,240.54833984375,239.3755645751953,241.6813507080078,241.6416015625,238.40155029296875,242.71499633789062,245.9550323486328,250.80516052246094,252.71340942382812,257.573486328125,261.4197692871094,261.2309265136719,264.3219299316406,263.21868896484375,264.2225341796875,265.504638671875,264.9480285644531,266.58795166015625,265.66363525390625,265.1766357421875,266.2997131347656,268.77447509765625,275.2048645019531,274.1116027832031,269.3807373046875,273.3065490722656,273.7637634277344,274.62841796875,274.8967590332031,278.2362060546875,277.5404968261719,265.16668701171875,262.62237548828125,259.7401123046875,255.82423400878906,257.20574951171875,257.4641418457031,263.02984619140625,259.0245361328125,248.718017578125,249.99017333984375,245.0307159423828,240.7967987060547,230.79840087890625,227.73724365234375,226.5048370361328,223.81143188476562,231.0170440673828,232.49790954589844,233.53155517578125,237.64620971679688,237.54681396484375,240.15078735351562,246.5414276123047,249.59263610839844,249.4932403564453,246.60104370117188,241.3633270263672,243.79832458496094,242.16836547851562,244.3151397705078,227.29000854492188,210.27999877929688,214.44000244140625,216.8699951171875,234.33999633789062,227.11000061035156,236.1999969482422,234.72000122070312,233.1300048828125,229.61000061035156,231.9600067138672,228.99000549316406,235.58999633789062,240.8800048828125,244.63999938964844,243.5500030517578,243.22000122070312,244.6199951171875,244.6199951171875,246.88999938964844,252.50999450683594,252.55999755859375,249.25,249.38999938964844,253.47000122070312,253.0800018310547,260.04998779296875,263.010009765625,265.6400146484375,267.489990234375,267.55999755859375,264.8800048828125,265.67999267578125,261.0400085449219,260.6700134277344,260.7099914550781,265.2900085449219,263.489990234375,264.3699951171875,264.0,264.6600036621094,266.2699890136719,264.9649963378906
7
- 612.7401733398438,607.8983764648438,622.7132568359375,612.530517578125,618.2708129882812,631.6080932617188,629.7213134765625,619.2990112304688,623.6851196289062,618.889404296875,596.6591796875,595.0405883789062,584.7297973632812,599.3167724609375,607.2097778320312,602.8136596679688,599.27685546875,590.7144165039062,584.9895629882812,598.7073364257812,604.092529296875,629.6398315429688,617.3407592773438,610.1771240234375,615.3125610351562,607.789306640625,593.7218017578125,616.5714721679688,610.756591796875,612.225341796875,615.9120483398438,622.94580078125,635.88427734375,646.9144287109375,659.29345703125,673.7305908203125,675.888671875,686.3893432617188,688.5673828125,696.840087890625,703.5640869140625,704.2434692382812,711.3571166992188,713.8848876953125,716.7623291015625,719.16015625,724.7352294921875,727.9124145507812,736.0151977539062,715.7332153320312,703.1444702148438,694.222412109375,682.9423828125,667.5361328125,656.9155883789062,673.1011962890625,657.6549072265625,667.6060791015625,654.4677124023438,639.4310913085938,655.886474609375,627.371826171875,625.1038208007812,597.4584350585938,605.171630859375,619.00927734375,590.114990234375,607.5999755859375,604.9000244140625,582.3599853515625,584.0599975585938,586.0,596.25,618.8499755859375,626.3099975585938,610.97998046875,602.5800170898438,576.739990234375,576.3599853515625,586.0,583.9299926757812,531.6199951171875,504.7300109863281,516.25,510.45001220703125,585.77001953125,546.2899780273438,543.5700073242188,531.47998046875,521.52001953125,502.30999755859375,501.4800109863281,484.6600036621094,500.2799987792969,520.27001953125,533.1500244140625,547.27001953125,549.739990234375,554.4400024414062,549.0,572.2100219726562,597.02001953125,599.27001953125,587.3099975585938,596.8099975585938,598.010009765625,592.489990234375,639.4299926757812,656.030029296875,659.3599853515625,643.8800048828125,640.3400268554688,640.4299926757812,637.0999755859375,635.5,636.5700073242188,627.0599975585938,642.3200073242188,643.5800170898438,645.0499877929688,647.489990234375,670.9000244140625,666.8499755859375,685.2650146484375
8
- 435.7447204589844,440.9248046875,441.87115478515625,444.311767578125,441.6320495605469,447.2704162597656,447.83819580078125,445.5569763183594,449.86041259765625,452.7194519042969,435.71484375,435.356201171875,434.9278869628906,433.5830383300781,437.64739990234375,436.43206787109375,428.881103515625,423.2029113769531,419.88568115234375,416.97686767578125,421.7286071777344,426.21136474609375,420.7523498535156,422.9339599609375,417.345458984375,415.5921936035156,414.0780334472656,424.67724609375,422.953857421875,427.3868408203125,426.85888671875,444.4910888671875,444.9991149902344,442.3592834472656,432.8956604003906,445.4872741699219,440.6358947753906,413.4006042480469,413.4703369140625,409.3462219238281,410.7906494140625,411.7071228027344,414.2274475097656,408.1806945800781,410.6412048339844,409.86419677734375,407.473388671875,408.9676513671875,406.86572265625,408.07110595703125,413.1814270019531,415.3674621582031,407.4619445800781,403.2596740722656,397.17083740234375,398.99749755859375,391.8106994628906,396.26251220703125,387.778076171875,387.8978576660156,400.2851257324219,396.1627197265625,392.5892639160156,379.46337890625,379.7528381347656,382.5676574707031,378.0758972167969,387.84796142578125,387.98773193359375,382.81719970703125,387.1093444824219,386.131103515625,390.54302978515625,392.35968017578125,394.4358825683594,389.2554016113281,389.8642578125,378.1058349609375,374.7021179199219,381.4896545410156,381.43975830078125,372.42626953125,359.18060302734375,357.2042236328125,353.9102783203125,389.7744140625,380.65118408203125,387.7381896972656,387.0993347167969,385.0231628417969,370.92901611328125,367.1060485839844,358.4619140625,366.1478271484375,373.7039489746094,386.59027099609375,391.1319580078125,390.4432067871094,393.31793212890625,394.53570556640625,424.6204528808594,434.48236083984375,435.3707275390625,432.5159606933594,432.555908203125,437.3670654296875,437.9260559082031,448.4367370605469,448.3169860839844,452.1099853515625,453.1300048828125,454.2699890136719,458.8699951171875,458.1700134277344,452.57000732421875,454.8599853515625,450.17999267578125,460.69000244140625,457.3599853515625,458.67999267578125,460.3599853515625,461.9700012207031,462.9700012207031,464.260009765625
9
- 145.1166534423828,145.04666137695312,142.42689514160156,138.79722595214844,135.05758666992188,139.29718017578125,137.32736206054688,134.23765563964844,131.98785400390625,130.3780059814453,128.8981475830078,130.66796875,134.68760681152344,139.6571502685547,140.2071075439453,139.91712951660156,136.9973907470703,137.47735595703125,134.27764892578125,138.29727172851562,144.4567108154297,149.41624450683594,140.12710571289062,140.0971221923828,135.8975067138672,133.21774291992188,131.7478790283203,136.22747802734375,133.55772399902344,137.6973419189453,140.81704711914062,147.05648803710938,147.2064666748047,142.60687255859375,118.40910339355469,128.9781494140625,123.6886215209961,124.63853454589844,120.0589599609375,116.64927673339844,118.63909149169922,124.81851959228516,128.66815185546875,129.8280487060547,133.55772399902344,132.7877960205078,131.12794494628906,135.27755737304688,138.8372344970703,139.38717651367188,139.21719360351562,140.0971221923828,134.41763305664062,130.2680206298828,126.61835479736328,131.26792907714844,120.13895416259766,124.90850830078125,114.04950714111328,115.97933197021484,117.28921508789062,110.55982971191406,112.67964172363281,106.97016143798828,108.75,115.73999786376953,115.58000183105469,121.66999816894531,119.52999877929688,115.43000030517578,117.5199966430664,118.52999877929688,117.69999694824219,121.41000366210938,120.69000244140625,113.76000213623047,111.43000030517578,109.66999816894531,108.37999725341797,110.1500015258789,110.41999816894531,101.80000305175781,94.30999755859375,97.63999938964844,96.30000305175781,114.33000183105469,107.56999969482422,110.93000030517578,110.70999908447266,112.19999694824219,104.48999786376953,101.48999786376953,96.91000366210938,98.88999938964844,102.70999908447266,106.43000030517578,111.01000213623047,108.7300033569336,109.0199966430664,108.91999816894531,111.61000061035156,114.5,113.81999969482422,113.54000091552734,117.05999755859375,117.37000274658203,116.6500015258789,123.0,129.92999267578125,135.33999633789062,134.8300018310547,135.39999389648438,135.57000732421875,134.3800048828125,131.8000030517578,132.8300018310547,131.2899932861328,135.5,134.80999755859375,139.19000244140625,135.1300048828125,137.3800048828125,141.22000122070312,141.68099975585938
10
- 357.92999267578125,369.489990234375,389.2200012207031,389.7900085449219,400.989990234375,424.7699890136719,418.1000061035156,436.2300109863281,463.0199890136719,479.8599853515625,440.1300048828125,436.1700134277344,421.05999755859375,430.6000061035156,462.2799987792969,454.1300048828125,431.6600036621094,417.4100036621094,403.8399963378906,379.2799987792969,410.44000244140625,411.04998779296875,394.3599853515625,394.94000244140625,394.739990234375,403.30999755859375,396.3599853515625,428.2200012207031,413.82000732421875,426.5,424.07000732421875,415.1099853515625,412.3800048828125,406.5799865722656,397.1499938964844,398.0899963378906,389.1000061035156,400.2799987792969,404.6000061035156,383.67999267578125,392.2099914550781,378.1700134277344,374.32000732421875,361.6199951171875,350.7300109863281,328.5,336.510009765625,355.94000244140625,355.8399963378906,354.1099853515625,360.55999755859375,354.3999938964844,337.79998779296875,330.5299987792969,302.79998779296875,290.79998779296875,281.95001220703125,292.9800109863281,284.6499938964844,272.0400085449219,279.1000061035156,263.45001220703125,262.6700134277344,222.14999389648438,230.5800018310547,248.08999633789062,240.67999267578125,249.97999572753906,238.00999450683594,225.30999755859375,235.86000061035156,236.25999450683594,248.7100067138672,278.3900146484375,288.1400146484375,272.05999755859375,273.1300048828125,263.54998779296875,259.1600036621094,268.4599914550781,282.760009765625,267.2799987792969,239.42999267578125,233.2899932861328,221.86000061035156,272.20001220703125,252.39999389648438,252.30999755859375,252.35000610351562,254.11000061035156,241.5500030517578,241.3699951171875,227.5,237.97000122070312,250.74000549316406,259.510009765625,284.95001220703125,285.8800048828125,292.0299987792969,282.1600036621094,280.5199890136719,287.2099914550781,280.260009765625,275.3500061035156,276.2200012207031,284.82000732421875,298.260009765625,318.3800048828125,334.07000732421875,347.67999267578125,342.82000732421875,349.9800109863281,342.0899963378906,343.82000732421875,334.6199951171875,341.0400085449219,339.3399963378906,362.8900146484375,356.8999938964844,358.42999267578125,346.4599914550781,342.69000244140625,344.2699890136719,333.302001953125
11
- 308.866455078125,308.0491943359375,309.9727783203125,307.27178955078125,311.33819580078125,312.7434997558594,313.1820373535156,313.6903076171875,314.8365173339844,317.2384338378906,308.7468566894531,313.8298645019531,316.6504211425781,316.16204833984375,319.5805969238281,319.8397521972656,317.59722900390625,314.2584228515625,314.9859924316406,313.3514709472656,313.8597717285156,311.9960021972656,310.6305847167969,311.55743408203125,306.6837463378906,305.89642333984375,308.05914306640625,315.22515869140625,316.19195556640625,318.5540466308594,322.5506591796875,322.48089599609375,327.1153869628906,329.0987548828125,333.4242858886719,333.364501953125,334.75982666015625,341.9058837890625,340.6600646972656,344.66668701171875,343.9989013671875,348.27459716796875,346.3211364746094,346.85931396484375,350.05865478515625,350.13848876953125,350.9072265625,355.0403747558594,353.2233581542969,356.1385498046875,354.6410217285156,349.90887451171875,347.9521179199219,349.2799072265625,351.5062255859375,350.04864501953125,355.1501770019531,362.1086120605469,361.2200927734375,351.64599609375,352.0952453613281,343.5893859863281,344.7474670410156,340.913818359375,331.5893249511719,332.28814697265625,328.0052490234375,331.2498474121094,333.99530029296875,334.2149353027344,339.3064880371094,338.9371032714844,335.1034851074219,343.29986572265625,344.0486145019531,343.6093444824219,349.2799072265625,342.28155517578125,349.87890625,345.7757568359375,345.7557678222656,338.8273010253906,312.61083984375,311.80218505859375,307.7588806152344,331.8788146972656,324.07177734375,332.8471984863281,334.624267578125,335.2532043457031,330.7806396484375,329.0634765625,319.56927490234375,330.85052490234375,333.81561279296875,335.15338134765625,334.6142883300781,336.9504089355469,340.9537353515625,344.9271545410156,341.8822326660156,347.023681640625,348.06195068359375,347.1235046386719,349.26995849609375,350.68756103515625,351.9554748535156,355.260009765625,356.1400146484375,356.4599914550781,362.29998779296875,365.1199951171875,367.8999938964844,366.8399963378906,358.29998779296875,357.9700012207031,353.5400085449219,359.29998779296875,359.7300109863281,362.3999938964844,365.19000244140625,365.32000732421875,365.8599853515625,368.2650146484375
 
 
 
 
 
 
 
 
 
 
 
 
test.ipynb CHANGED
@@ -2,14 +2,14 @@
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
- "execution_count": null,
6
  "metadata": {},
7
  "outputs": [
8
  {
9
  "name": "stderr",
10
  "output_type": "stream",
11
  "text": [
12
- "[*********************100%***********************] 10 of 10 completed\n"
13
  ]
14
  }
15
  ],
@@ -17,20 +17,1479 @@
17
  "import yfinance as yf\n",
18
  "import pandas as pd\n",
19
  "\n",
20
- "# List of 10 example tickers (you can replace these with any tickers you prefer)\n",
21
- "tickers = [\"AAPL\", \"MSFT\", \"GOOGL\", \"AMZN\", \"META\", \"TSLA\", \"NVDA\", \"JPM\", \"JNJ\", \"V\"]\n",
 
 
 
 
 
22
  "\n",
23
- "# Download daily adjusted close prices for the last month (≈30 calendar days)\n",
24
- "data = yf.download(tickers, period=\"6mo\", interval=\"1d\", auto_adjust=False)[\"Adj Close\"]\n",
25
  "\n",
26
- "# Transpose so that each row is one company’s month-long timeseries\n",
27
  "df = pd.DataFrame(data.transpose())\n",
28
  "\n",
 
29
  "# At this point, `df` has:\n",
30
  "# • Index: the 10 tickers\n",
31
  "# • Columns: one column per trading day in the last month\n",
32
  "# • Values: adjusted close price for that ticker on that date\n",
33
- "df.to_csv(\"stocks_data_noindex.csv\", index=False)\n"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
34
  ]
35
  },
36
  {
@@ -1670,10 +3129,12 @@
1670
  "metadata": {},
1671
  "outputs": [],
1672
  "source": [
1673
- "# selection for forecast length (maybe limit to 512 or something)\n",
1674
- "\n",
1675
- "# if possible the default selection of forecast length for ett2 and loop should be 256, for air passenger 48\n",
1676
- "# a and please add the citation to the paper after the instruction as it is done in the model card\n",
 
 
1677
  "\n",
1678
  "# '''\n",
1679
  "# 8. *Range of prediction length customizable \n",
 
2
  "cells": [
3
  {
4
  "cell_type": "code",
5
+ "execution_count": 7,
6
  "metadata": {},
7
  "outputs": [
8
  {
9
  "name": "stderr",
10
  "output_type": "stream",
11
  "text": [
12
+ "[*********************100%***********************] 40 of 40 completed\n"
13
  ]
14
  }
15
  ],
 
17
  "import yfinance as yf\n",
18
  "import pandas as pd\n",
19
  "\n",
20
+ "# List of 40 example tickers\n",
21
+ "tickers = [\n",
22
+ " \"AAPL\", \"MSFT\", \"GOOGL\", \"AMZN\", \"META\", \"TSLA\", \"NVDA\", \"JPM\", \"JNJ\", \"V\",\n",
23
+ " \"UNH\", \"HD\", \"PG\", \"MA\", \"BAC\", \"PFE\", \"KO\", \"DIS\", \"PEP\", \"INTC\",\n",
24
+ " \"NFLX\", \"CSCO\", \"CMCSA\", \"ABT\", \"XOM\", \"T\", \"CVX\", \"MCD\", \"NKE\", \"ADBE\",\n",
25
+ " \"WMT\", \"CRM\", \"ORCL\", \"IBM\", \"QCOM\", \"LLY\", \"MRK\", \"BA\", \"TMO\", \"COST\"\n",
26
+ "]\n",
27
  "\n",
28
+ "# Download 15-minute interval data for the last 60 days (max allowed)\n",
29
+ "data = yf.download(tickers, period=\"60d\", interval=\"5m\", auto_adjust=False)[\"Adj Close\"]\n",
30
  "\n",
31
+ "# Transpose to have each row as one company’s 15-minute interval time series\n",
32
  "df = pd.DataFrame(data.transpose())\n",
33
  "\n",
34
+ "\n",
35
  "# At this point, `df` has:\n",
36
  "# • Index: the 10 tickers\n",
37
  "# • Columns: one column per trading day in the last month\n",
38
  "# • Values: adjusted close price for that ticker on that date\n",
39
+ "df.to_csv(\"stocks_data.csv\")\n"
40
+ ]
41
+ },
42
+ {
43
+ "cell_type": "code",
44
+ "execution_count": 14,
45
+ "metadata": {},
46
+ "outputs": [
47
+ {
48
+ "data": {
49
+ "text/html": [
50
+ "<div>\n",
51
+ "<style scoped>\n",
52
+ " .dataframe tbody tr th:only-of-type {\n",
53
+ " vertical-align: middle;\n",
54
+ " }\n",
55
+ "\n",
56
+ " .dataframe tbody tr th {\n",
57
+ " vertical-align: top;\n",
58
+ " }\n",
59
+ "\n",
60
+ " .dataframe thead th {\n",
61
+ " text-align: right;\n",
62
+ " }\n",
63
+ "</style>\n",
64
+ "<table border=\"1\" class=\"dataframe\">\n",
65
+ " <thead>\n",
66
+ " <tr style=\"text-align: right;\">\n",
67
+ " <th></th>\n",
68
+ " <th>2025-04-29 18:35:00+00:00</th>\n",
69
+ " <th>2025-04-29 18:40:00+00:00</th>\n",
70
+ " <th>2025-04-29 18:45:00+00:00</th>\n",
71
+ " <th>2025-04-29 18:50:00+00:00</th>\n",
72
+ " <th>2025-04-29 18:55:00+00:00</th>\n",
73
+ " <th>2025-04-29 19:00:00+00:00</th>\n",
74
+ " <th>2025-04-29 19:05:00+00:00</th>\n",
75
+ " <th>2025-04-29 19:10:00+00:00</th>\n",
76
+ " <th>2025-04-29 19:15:00+00:00</th>\n",
77
+ " <th>2025-04-29 19:20:00+00:00</th>\n",
78
+ " <th>...</th>\n",
79
+ " <th>2025-06-05 19:25:00+00:00</th>\n",
80
+ " <th>2025-06-05 19:30:00+00:00</th>\n",
81
+ " <th>2025-06-05 19:35:00+00:00</th>\n",
82
+ " <th>2025-06-05 19:40:00+00:00</th>\n",
83
+ " <th>2025-06-05 19:45:00+00:00</th>\n",
84
+ " <th>2025-06-05 19:50:00+00:00</th>\n",
85
+ " <th>2025-06-05 19:55:00+00:00</th>\n",
86
+ " <th>2025-06-06 13:30:00+00:00</th>\n",
87
+ " <th>2025-06-06 13:35:00+00:00</th>\n",
88
+ " <th>2025-06-06 13:40:00+00:00</th>\n",
89
+ " </tr>\n",
90
+ " </thead>\n",
91
+ " <tbody>\n",
92
+ " <tr>\n",
93
+ " <th>0</th>\n",
94
+ " <td>211.920105</td>\n",
95
+ " <td>211.804993</td>\n",
96
+ " <td>211.550003</td>\n",
97
+ " <td>211.460007</td>\n",
98
+ " <td>211.300003</td>\n",
99
+ " <td>211.241302</td>\n",
100
+ " <td>211.495605</td>\n",
101
+ " <td>211.509995</td>\n",
102
+ " <td>211.199997</td>\n",
103
+ " <td>211.410004</td>\n",
104
+ " <td>...</td>\n",
105
+ " <td>200.729996</td>\n",
106
+ " <td>200.880005</td>\n",
107
+ " <td>201.210007</td>\n",
108
+ " <td>200.800003</td>\n",
109
+ " <td>200.914993</td>\n",
110
+ " <td>200.380005</td>\n",
111
+ " <td>200.550003</td>\n",
112
+ " <td>205.021698</td>\n",
113
+ " <td>204.977707</td>\n",
114
+ " <td>NaN</td>\n",
115
+ " </tr>\n",
116
+ " <tr>\n",
117
+ " <th>1</th>\n",
118
+ " <td>131.119995</td>\n",
119
+ " <td>131.139999</td>\n",
120
+ " <td>130.985001</td>\n",
121
+ " <td>130.970001</td>\n",
122
+ " <td>130.939896</td>\n",
123
+ " <td>130.925003</td>\n",
124
+ " <td>131.035004</td>\n",
125
+ " <td>131.110001</td>\n",
126
+ " <td>131.095001</td>\n",
127
+ " <td>131.119995</td>\n",
128
+ " <td>...</td>\n",
129
+ " <td>133.899994</td>\n",
130
+ " <td>133.899994</td>\n",
131
+ " <td>133.985001</td>\n",
132
+ " <td>134.039993</td>\n",
133
+ " <td>134.104996</td>\n",
134
+ " <td>133.740005</td>\n",
135
+ " <td>133.919998</td>\n",
136
+ " <td>134.529999</td>\n",
137
+ " <td>134.389999</td>\n",
138
+ " <td>NaN</td>\n",
139
+ " </tr>\n",
140
+ " <tr>\n",
141
+ " <th>2</th>\n",
142
+ " <td>371.709991</td>\n",
143
+ " <td>371.940002</td>\n",
144
+ " <td>371.690002</td>\n",
145
+ " <td>371.600006</td>\n",
146
+ " <td>371.179993</td>\n",
147
+ " <td>371.304993</td>\n",
148
+ " <td>371.470001</td>\n",
149
+ " <td>371.480011</td>\n",
150
+ " <td>371.500000</td>\n",
151
+ " <td>371.700012</td>\n",
152
+ " <td>...</td>\n",
153
+ " <td>415.299988</td>\n",
154
+ " <td>416.000000</td>\n",
155
+ " <td>416.904999</td>\n",
156
+ " <td>416.554993</td>\n",
157
+ " <td>416.359985</td>\n",
158
+ " <td>414.904999</td>\n",
159
+ " <td>415.200012</td>\n",
160
+ " <td>417.290009</td>\n",
161
+ " <td>417.079987</td>\n",
162
+ " <td>417.500000</td>\n",
163
+ " </tr>\n",
164
+ " <tr>\n",
165
+ " <th>3</th>\n",
166
+ " <td>187.830002</td>\n",
167
+ " <td>187.729996</td>\n",
168
+ " <td>187.600006</td>\n",
169
+ " <td>187.520004</td>\n",
170
+ " <td>187.464996</td>\n",
171
+ " <td>187.520004</td>\n",
172
+ " <td>187.679199</td>\n",
173
+ " <td>187.565002</td>\n",
174
+ " <td>187.429993</td>\n",
175
+ " <td>187.625000</td>\n",
176
+ " <td>...</td>\n",
177
+ " <td>208.494995</td>\n",
178
+ " <td>208.506195</td>\n",
179
+ " <td>209.110001</td>\n",
180
+ " <td>208.910004</td>\n",
181
+ " <td>208.964996</td>\n",
182
+ " <td>208.100006</td>\n",
183
+ " <td>207.850006</td>\n",
184
+ " <td>210.779999</td>\n",
185
+ " <td>211.850800</td>\n",
186
+ " <td>212.429993</td>\n",
187
+ " </tr>\n",
188
+ " <tr>\n",
189
+ " <th>4</th>\n",
190
+ " <td>182.020004</td>\n",
191
+ " <td>182.229996</td>\n",
192
+ " <td>182.009995</td>\n",
193
+ " <td>181.970001</td>\n",
194
+ " <td>181.880005</td>\n",
195
+ " <td>181.797501</td>\n",
196
+ " <td>182.050003</td>\n",
197
+ " <td>182.139999</td>\n",
198
+ " <td>182.320007</td>\n",
199
+ " <td>182.235001</td>\n",
200
+ " <td>...</td>\n",
201
+ " <td>208.860001</td>\n",
202
+ " <td>209.088303</td>\n",
203
+ " <td>209.705002</td>\n",
204
+ " <td>209.425003</td>\n",
205
+ " <td>209.669998</td>\n",
206
+ " <td>208.934998</td>\n",
207
+ " <td>209.179993</td>\n",
208
+ " <td>209.990005</td>\n",
209
+ " <td>210.395004</td>\n",
210
+ " <td>NaN</td>\n",
211
+ " </tr>\n",
212
+ " <tr>\n",
213
+ " <th>5</th>\n",
214
+ " <td>40.014999</td>\n",
215
+ " <td>40.000000</td>\n",
216
+ " <td>39.994999</td>\n",
217
+ " <td>39.990002</td>\n",
218
+ " <td>39.965302</td>\n",
219
+ " <td>39.974998</td>\n",
220
+ " <td>39.994999</td>\n",
221
+ " <td>40.023399</td>\n",
222
+ " <td>40.035000</td>\n",
223
+ " <td>40.040001</td>\n",
224
+ " <td>...</td>\n",
225
+ " <td>44.285000</td>\n",
226
+ " <td>44.355000</td>\n",
227
+ " <td>44.435001</td>\n",
228
+ " <td>44.384998</td>\n",
229
+ " <td>44.415001</td>\n",
230
+ " <td>44.365002</td>\n",
231
+ " <td>44.369999</td>\n",
232
+ " <td>44.904999</td>\n",
233
+ " <td>44.935001</td>\n",
234
+ " <td>NaN</td>\n",
235
+ " </tr>\n",
236
+ " <tr>\n",
237
+ " <th>6</th>\n",
238
+ " <td>33.965000</td>\n",
239
+ " <td>33.924999</td>\n",
240
+ " <td>33.930199</td>\n",
241
+ " <td>33.934200</td>\n",
242
+ " <td>33.924999</td>\n",
243
+ " <td>33.919998</td>\n",
244
+ " <td>33.924999</td>\n",
245
+ " <td>33.919998</td>\n",
246
+ " <td>33.963600</td>\n",
247
+ " <td>33.994999</td>\n",
248
+ " <td>...</td>\n",
249
+ " <td>34.188999</td>\n",
250
+ " <td>34.224998</td>\n",
251
+ " <td>34.285000</td>\n",
252
+ " <td>34.275002</td>\n",
253
+ " <td>34.305000</td>\n",
254
+ " <td>34.174999</td>\n",
255
+ " <td>34.240002</td>\n",
256
+ " <td>34.689999</td>\n",
257
+ " <td>34.654999</td>\n",
258
+ " <td>34.654999</td>\n",
259
+ " </tr>\n",
260
+ " <tr>\n",
261
+ " <th>7</th>\n",
262
+ " <td>990.640015</td>\n",
263
+ " <td>989.539978</td>\n",
264
+ " <td>989.715027</td>\n",
265
+ " <td>989.380005</td>\n",
266
+ " <td>988.895386</td>\n",
267
+ " <td>990.369995</td>\n",
268
+ " <td>989.239990</td>\n",
269
+ " <td>988.799988</td>\n",
270
+ " <td>988.580017</td>\n",
271
+ " <td>989.422485</td>\n",
272
+ " <td>...</td>\n",
273
+ " <td>1010.789978</td>\n",
274
+ " <td>1010.659973</td>\n",
275
+ " <td>1012.719971</td>\n",
276
+ " <td>1010.710022</td>\n",
277
+ " <td>1012.559998</td>\n",
278
+ " <td>1009.440002</td>\n",
279
+ " <td>1010.530029</td>\n",
280
+ " <td>1012.315002</td>\n",
281
+ " <td>1011.419983</td>\n",
282
+ " <td>1014.000000</td>\n",
283
+ " </tr>\n",
284
+ " <tr>\n",
285
+ " <th>8</th>\n",
286
+ " <td>267.640015</td>\n",
287
+ " <td>267.369202</td>\n",
288
+ " <td>267.394989</td>\n",
289
+ " <td>267.630005</td>\n",
290
+ " <td>267.575012</td>\n",
291
+ " <td>267.779999</td>\n",
292
+ " <td>267.929993</td>\n",
293
+ " <td>267.959991</td>\n",
294
+ " <td>267.730988</td>\n",
295
+ " <td>268.179993</td>\n",
296
+ " <td>...</td>\n",
297
+ " <td>266.265015</td>\n",
298
+ " <td>266.744995</td>\n",
299
+ " <td>267.019989</td>\n",
300
+ " <td>267.070007</td>\n",
301
+ " <td>267.174988</td>\n",
302
+ " <td>266.440002</td>\n",
303
+ " <td>267.100006</td>\n",
304
+ " <td>268.722504</td>\n",
305
+ " <td>268.924988</td>\n",
306
+ " <td>NaN</td>\n",
307
+ " </tr>\n",
308
+ " <tr>\n",
309
+ " <th>9</th>\n",
310
+ " <td>57.415001</td>\n",
311
+ " <td>57.395000</td>\n",
312
+ " <td>57.375000</td>\n",
313
+ " <td>57.384998</td>\n",
314
+ " <td>57.389900</td>\n",
315
+ " <td>57.395000</td>\n",
316
+ " <td>57.334999</td>\n",
317
+ " <td>57.334999</td>\n",
318
+ " <td>57.305000</td>\n",
319
+ " <td>57.395000</td>\n",
320
+ " <td>...</td>\n",
321
+ " <td>64.610001</td>\n",
322
+ " <td>64.625000</td>\n",
323
+ " <td>64.724998</td>\n",
324
+ " <td>64.724998</td>\n",
325
+ " <td>64.790001</td>\n",
326
+ " <td>64.550003</td>\n",
327
+ " <td>64.650002</td>\n",
328
+ " <td>65.589996</td>\n",
329
+ " <td>65.389999</td>\n",
330
+ " <td>65.443298</td>\n",
331
+ " </tr>\n",
332
+ " <tr>\n",
333
+ " <th>10</th>\n",
334
+ " <td>139.585007</td>\n",
335
+ " <td>139.554993</td>\n",
336
+ " <td>139.449997</td>\n",
337
+ " <td>139.485001</td>\n",
338
+ " <td>139.378998</td>\n",
339
+ " <td>139.419998</td>\n",
340
+ " <td>139.580002</td>\n",
341
+ " <td>139.630005</td>\n",
342
+ " <td>139.649994</td>\n",
343
+ " <td>139.625000</td>\n",
344
+ " <td>...</td>\n",
345
+ " <td>136.964996</td>\n",
346
+ " <td>136.990005</td>\n",
347
+ " <td>137.164993</td>\n",
348
+ " <td>137.240005</td>\n",
349
+ " <td>137.210007</td>\n",
350
+ " <td>136.850006</td>\n",
351
+ " <td>136.945007</td>\n",
352
+ " <td>139.449997</td>\n",
353
+ " <td>139.634995</td>\n",
354
+ " <td>NaN</td>\n",
355
+ " </tr>\n",
356
+ " <tr>\n",
357
+ " <th>11</th>\n",
358
+ " <td>91.550003</td>\n",
359
+ " <td>91.514999</td>\n",
360
+ " <td>91.470001</td>\n",
361
+ " <td>91.449997</td>\n",
362
+ " <td>91.379997</td>\n",
363
+ " <td>91.375000</td>\n",
364
+ " <td>91.410004</td>\n",
365
+ " <td>91.440002</td>\n",
366
+ " <td>91.400002</td>\n",
367
+ " <td>91.455002</td>\n",
368
+ " <td>...</td>\n",
369
+ " <td>112.285004</td>\n",
370
+ " <td>112.440002</td>\n",
371
+ " <td>112.684998</td>\n",
372
+ " <td>112.680000</td>\n",
373
+ " <td>112.775002</td>\n",
374
+ " <td>112.360001</td>\n",
375
+ " <td>112.514999</td>\n",
376
+ " <td>114.129997</td>\n",
377
+ " <td>113.919998</td>\n",
378
+ " <td>NaN</td>\n",
379
+ " </tr>\n",
380
+ " <tr>\n",
381
+ " <th>12</th>\n",
382
+ " <td>160.529907</td>\n",
383
+ " <td>160.429993</td>\n",
384
+ " <td>160.365005</td>\n",
385
+ " <td>160.315002</td>\n",
386
+ " <td>160.059998</td>\n",
387
+ " <td>160.050003</td>\n",
388
+ " <td>160.330002</td>\n",
389
+ " <td>160.419998</td>\n",
390
+ " <td>160.379898</td>\n",
391
+ " <td>160.360001</td>\n",
392
+ " <td>...</td>\n",
393
+ " <td>168.210007</td>\n",
394
+ " <td>168.255005</td>\n",
395
+ " <td>168.869995</td>\n",
396
+ " <td>168.654999</td>\n",
397
+ " <td>168.690002</td>\n",
398
+ " <td>168.169998</td>\n",
399
+ " <td>168.220001</td>\n",
400
+ " <td>171.669998</td>\n",
401
+ " <td>171.525497</td>\n",
402
+ " <td>171.580002</td>\n",
403
+ " </tr>\n",
404
+ " <tr>\n",
405
+ " <th>13</th>\n",
406
+ " <td>359.584991</td>\n",
407
+ " <td>359.635010</td>\n",
408
+ " <td>359.195007</td>\n",
409
+ " <td>359.209991</td>\n",
410
+ " <td>359.730011</td>\n",
411
+ " <td>359.890015</td>\n",
412
+ " <td>359.825012</td>\n",
413
+ " <td>359.730011</td>\n",
414
+ " <td>359.609985</td>\n",
415
+ " <td>359.959991</td>\n",
416
+ " <td>...</td>\n",
417
+ " <td>368.829987</td>\n",
418
+ " <td>369.135010</td>\n",
419
+ " <td>369.855011</td>\n",
420
+ " <td>369.660004</td>\n",
421
+ " <td>369.700012</td>\n",
422
+ " <td>368.570007</td>\n",
423
+ " <td>369.350006</td>\n",
424
+ " <td>371.404999</td>\n",
425
+ " <td>370.375000</td>\n",
426
+ " <td>NaN</td>\n",
427
+ " </tr>\n",
428
+ " <tr>\n",
429
+ " <th>14</th>\n",
430
+ " <td>239.585007</td>\n",
431
+ " <td>239.581894</td>\n",
432
+ " <td>239.580002</td>\n",
433
+ " <td>239.619995</td>\n",
434
+ " <td>239.504700</td>\n",
435
+ " <td>239.490005</td>\n",
436
+ " <td>239.479996</td>\n",
437
+ " <td>239.649994</td>\n",
438
+ " <td>239.580002</td>\n",
439
+ " <td>239.794998</td>\n",
440
+ " <td>...</td>\n",
441
+ " <td>265.850006</td>\n",
442
+ " <td>266.309998</td>\n",
443
+ " <td>266.920013</td>\n",
444
+ " <td>266.899994</td>\n",
445
+ " <td>267.209991</td>\n",
446
+ " <td>266.540009</td>\n",
447
+ " <td>266.820007</td>\n",
448
+ " <td>268.142487</td>\n",
449
+ " <td>268.236511</td>\n",
450
+ " <td>NaN</td>\n",
451
+ " </tr>\n",
452
+ " <tr>\n",
453
+ " <th>15</th>\n",
454
+ " <td>20.590000</td>\n",
455
+ " <td>20.594999</td>\n",
456
+ " <td>20.565001</td>\n",
457
+ " <td>20.555000</td>\n",
458
+ " <td>20.520000</td>\n",
459
+ " <td>20.470200</td>\n",
460
+ " <td>20.504999</td>\n",
461
+ " <td>20.513700</td>\n",
462
+ " <td>20.475000</td>\n",
463
+ " <td>20.469999</td>\n",
464
+ " <td>...</td>\n",
465
+ " <td>19.955000</td>\n",
466
+ " <td>20.029699</td>\n",
467
+ " <td>20.098801</td>\n",
468
+ " <td>20.055000</td>\n",
469
+ " <td>20.084999</td>\n",
470
+ " <td>19.990000</td>\n",
471
+ " <td>19.990000</td>\n",
472
+ " <td>20.360001</td>\n",
473
+ " <td>20.405500</td>\n",
474
+ " <td>20.410000</td>\n",
475
+ " </tr>\n",
476
+ " <tr>\n",
477
+ " <th>16</th>\n",
478
+ " <td>156.490005</td>\n",
479
+ " <td>156.434998</td>\n",
480
+ " <td>156.350006</td>\n",
481
+ " <td>156.320007</td>\n",
482
+ " <td>156.065002</td>\n",
483
+ " <td>156.125000</td>\n",
484
+ " <td>156.066193</td>\n",
485
+ " <td>156.160004</td>\n",
486
+ " <td>156.110001</td>\n",
487
+ " <td>156.125000</td>\n",
488
+ " <td>...</td>\n",
489
+ " <td>153.845001</td>\n",
490
+ " <td>153.710007</td>\n",
491
+ " <td>153.800003</td>\n",
492
+ " <td>153.934998</td>\n",
493
+ " <td>153.979996</td>\n",
494
+ " <td>153.470001</td>\n",
495
+ " <td>153.639999</td>\n",
496
+ " <td>155.089996</td>\n",
497
+ " <td>154.930496</td>\n",
498
+ " <td>NaN</td>\n",
499
+ " </tr>\n",
500
+ " <tr>\n",
501
+ " <th>17</th>\n",
502
+ " <td>245.190002</td>\n",
503
+ " <td>244.845001</td>\n",
504
+ " <td>244.634995</td>\n",
505
+ " <td>244.537796</td>\n",
506
+ " <td>244.238403</td>\n",
507
+ " <td>244.404495</td>\n",
508
+ " <td>244.669998</td>\n",
509
+ " <td>244.679993</td>\n",
510
+ " <td>244.619995</td>\n",
511
+ " <td>244.910004</td>\n",
512
+ " <td>...</td>\n",
513
+ " <td>261.047485</td>\n",
514
+ " <td>261.350006</td>\n",
515
+ " <td>261.890015</td>\n",
516
+ " <td>261.739990</td>\n",
517
+ " <td>262.024994</td>\n",
518
+ " <td>261.559998</td>\n",
519
+ " <td>261.970001</td>\n",
520
+ " <td>265.095001</td>\n",
521
+ " <td>264.950012</td>\n",
522
+ " <td>NaN</td>\n",
523
+ " </tr>\n",
524
+ " <tr>\n",
525
+ " <th>18</th>\n",
526
+ " <td>72.394997</td>\n",
527
+ " <td>72.400002</td>\n",
528
+ " <td>72.360001</td>\n",
529
+ " <td>72.404999</td>\n",
530
+ " <td>72.389999</td>\n",
531
+ " <td>72.400002</td>\n",
532
+ " <td>72.434998</td>\n",
533
+ " <td>72.480003</td>\n",
534
+ " <td>72.457298</td>\n",
535
+ " <td>72.455002</td>\n",
536
+ " <td>...</td>\n",
537
+ " <td>71.004997</td>\n",
538
+ " <td>70.934998</td>\n",
539
+ " <td>71.004997</td>\n",
540
+ " <td>71.025002</td>\n",
541
+ " <td>71.025002</td>\n",
542
+ " <td>70.849998</td>\n",
543
+ " <td>70.940002</td>\n",
544
+ " <td>71.279999</td>\n",
545
+ " <td>71.270203</td>\n",
546
+ " <td>NaN</td>\n",
547
+ " </tr>\n",
548
+ " <tr>\n",
549
+ " <th>19</th>\n",
550
+ " <td>891.500000</td>\n",
551
+ " <td>891.059998</td>\n",
552
+ " <td>890.415894</td>\n",
553
+ " <td>890.369995</td>\n",
554
+ " <td>889.929993</td>\n",
555
+ " <td>889.916077</td>\n",
556
+ " <td>889.750000</td>\n",
557
+ " <td>890.099976</td>\n",
558
+ " <td>889.000000</td>\n",
559
+ " <td>889.659973</td>\n",
560
+ " <td>...</td>\n",
561
+ " <td>761.500000</td>\n",
562
+ " <td>762.429993</td>\n",
563
+ " <td>764.650024</td>\n",
564
+ " <td>765.104980</td>\n",
565
+ " <td>765.890015</td>\n",
566
+ " <td>764.120789</td>\n",
567
+ " <td>765.969971</td>\n",
568
+ " <td>768.690002</td>\n",
569
+ " <td>768.664978</td>\n",
570
+ " <td>NaN</td>\n",
571
+ " </tr>\n",
572
+ " <tr>\n",
573
+ " <th>20</th>\n",
574
+ " <td>538.905029</td>\n",
575
+ " <td>538.835022</td>\n",
576
+ " <td>538.525024</td>\n",
577
+ " <td>538.315125</td>\n",
578
+ " <td>538.380005</td>\n",
579
+ " <td>538.842590</td>\n",
580
+ " <td>538.760010</td>\n",
581
+ " <td>539.049988</td>\n",
582
+ " <td>539.195007</td>\n",
583
+ " <td>539.688782</td>\n",
584
+ " <td>...</td>\n",
585
+ " <td>583.924988</td>\n",
586
+ " <td>584.419983</td>\n",
587
+ " <td>585.380005</td>\n",
588
+ " <td>585.200012</td>\n",
589
+ " <td>585.320007</td>\n",
590
+ " <td>584.062927</td>\n",
591
+ " <td>585.440002</td>\n",
592
+ " <td>588.650024</td>\n",
593
+ " <td>588.349976</td>\n",
594
+ " <td>NaN</td>\n",
595
+ " </tr>\n",
596
+ " <tr>\n",
597
+ " <th>21</th>\n",
598
+ " <td>315.899994</td>\n",
599
+ " <td>315.950012</td>\n",
600
+ " <td>315.465912</td>\n",
601
+ " <td>315.510010</td>\n",
602
+ " <td>315.390015</td>\n",
603
+ " <td>315.730103</td>\n",
604
+ " <td>315.637512</td>\n",
605
+ " <td>315.470001</td>\n",
606
+ " <td>315.299988</td>\n",
607
+ " <td>315.454987</td>\n",
608
+ " <td>...</td>\n",
609
+ " <td>308.454987</td>\n",
610
+ " <td>308.720001</td>\n",
611
+ " <td>309.390015</td>\n",
612
+ " <td>309.579987</td>\n",
613
+ " <td>309.609009</td>\n",
614
+ " <td>308.665009</td>\n",
615
+ " <td>308.970001</td>\n",
616
+ " <td>308.325012</td>\n",
617
+ " <td>308.649994</td>\n",
618
+ " <td>NaN</td>\n",
619
+ " </tr>\n",
620
+ " <tr>\n",
621
+ " <th>22</th>\n",
622
+ " <td>556.359924</td>\n",
623
+ " <td>555.941223</td>\n",
624
+ " <td>555.840027</td>\n",
625
+ " <td>555.900024</td>\n",
626
+ " <td>555.025024</td>\n",
627
+ " <td>554.700012</td>\n",
628
+ " <td>554.479980</td>\n",
629
+ " <td>555.000000</td>\n",
630
+ " <td>554.193176</td>\n",
631
+ " <td>555.000000</td>\n",
632
+ " <td>...</td>\n",
633
+ " <td>684.989990</td>\n",
634
+ " <td>686.200012</td>\n",
635
+ " <td>687.695007</td>\n",
636
+ " <td>685.770020</td>\n",
637
+ " <td>686.349976</td>\n",
638
+ " <td>685.010010</td>\n",
639
+ " <td>684.419983</td>\n",
640
+ " <td>697.229980</td>\n",
641
+ " <td>700.359985</td>\n",
642
+ " <td>701.509583</td>\n",
643
+ " </tr>\n",
644
+ " <tr>\n",
645
+ " <th>23</th>\n",
646
+ " <td>84.830101</td>\n",
647
+ " <td>84.820000</td>\n",
648
+ " <td>84.781998</td>\n",
649
+ " <td>84.739998</td>\n",
650
+ " <td>84.599998</td>\n",
651
+ " <td>84.705002</td>\n",
652
+ " <td>84.730003</td>\n",
653
+ " <td>84.834999</td>\n",
654
+ " <td>84.805000</td>\n",
655
+ " <td>84.919998</td>\n",
656
+ " <td>...</td>\n",
657
+ " <td>77.550003</td>\n",
658
+ " <td>77.580002</td>\n",
659
+ " <td>77.745003</td>\n",
660
+ " <td>77.830002</td>\n",
661
+ " <td>77.885002</td>\n",
662
+ " <td>77.639999</td>\n",
663
+ " <td>77.650002</td>\n",
664
+ " <td>78.959999</td>\n",
665
+ " <td>78.860001</td>\n",
666
+ " <td>NaN</td>\n",
667
+ " </tr>\n",
668
+ " <tr>\n",
669
+ " <th>24</th>\n",
670
+ " <td>394.160004</td>\n",
671
+ " <td>393.859497</td>\n",
672
+ " <td>393.750000</td>\n",
673
+ " <td>393.809998</td>\n",
674
+ " <td>393.484985</td>\n",
675
+ " <td>393.850006</td>\n",
676
+ " <td>393.787415</td>\n",
677
+ " <td>393.935913</td>\n",
678
+ " <td>393.769989</td>\n",
679
+ " <td>394.010010</td>\n",
680
+ " <td>...</td>\n",
681
+ " <td>467.429993</td>\n",
682
+ " <td>467.859985</td>\n",
683
+ " <td>468.959991</td>\n",
684
+ " <td>468.410004</td>\n",
685
+ " <td>468.565002</td>\n",
686
+ " <td>467.350006</td>\n",
687
+ " <td>467.609985</td>\n",
688
+ " <td>469.520294</td>\n",
689
+ " <td>470.404999</td>\n",
690
+ " <td>471.000000</td>\n",
691
+ " </tr>\n",
692
+ " <tr>\n",
693
+ " <th>25</th>\n",
694
+ " <td>1121.935059</td>\n",
695
+ " <td>1121.750854</td>\n",
696
+ " <td>1120.964966</td>\n",
697
+ " <td>1121.196411</td>\n",
698
+ " <td>1119.510010</td>\n",
699
+ " <td>1119.930054</td>\n",
700
+ " <td>1121.368896</td>\n",
701
+ " <td>1120.930054</td>\n",
702
+ " <td>1120.799927</td>\n",
703
+ " <td>1122.050049</td>\n",
704
+ " <td>...</td>\n",
705
+ " <td>1248.354980</td>\n",
706
+ " <td>1251.709961</td>\n",
707
+ " <td>1254.925049</td>\n",
708
+ " <td>1253.310059</td>\n",
709
+ " <td>1253.590088</td>\n",
710
+ " <td>1250.574951</td>\n",
711
+ " <td>1250.829956</td>\n",
712
+ " <td>1248.181885</td>\n",
713
+ " <td>1247.890015</td>\n",
714
+ " <td>1250.069946</td>\n",
715
+ " </tr>\n",
716
+ " <tr>\n",
717
+ " <th>26</th>\n",
718
+ " <td>57.290001</td>\n",
719
+ " <td>57.409901</td>\n",
720
+ " <td>57.450001</td>\n",
721
+ " <td>57.494999</td>\n",
722
+ " <td>57.500000</td>\n",
723
+ " <td>57.480000</td>\n",
724
+ " <td>57.505001</td>\n",
725
+ " <td>57.560001</td>\n",
726
+ " <td>57.564999</td>\n",
727
+ " <td>57.619999</td>\n",
728
+ " <td>...</td>\n",
729
+ " <td>62.419998</td>\n",
730
+ " <td>62.520000</td>\n",
731
+ " <td>62.680000</td>\n",
732
+ " <td>62.689999</td>\n",
733
+ " <td>62.732800</td>\n",
734
+ " <td>62.610001</td>\n",
735
+ " <td>62.639999</td>\n",
736
+ " <td>62.790001</td>\n",
737
+ " <td>62.669998</td>\n",
738
+ " <td>NaN</td>\n",
739
+ " </tr>\n",
740
+ " <tr>\n",
741
+ " <th>27</th>\n",
742
+ " <td>109.989998</td>\n",
743
+ " <td>110.054497</td>\n",
744
+ " <td>109.870003</td>\n",
745
+ " <td>109.791000</td>\n",
746
+ " <td>109.565002</td>\n",
747
+ " <td>109.580002</td>\n",
748
+ " <td>109.688904</td>\n",
749
+ " <td>109.699997</td>\n",
750
+ " <td>109.255699</td>\n",
751
+ " <td>109.379997</td>\n",
752
+ " <td>...</td>\n",
753
+ " <td>139.590103</td>\n",
754
+ " <td>140.048996</td>\n",
755
+ " <td>140.350006</td>\n",
756
+ " <td>140.175003</td>\n",
757
+ " <td>140.460007</td>\n",
758
+ " <td>139.990005</td>\n",
759
+ " <td>139.949997</td>\n",
760
+ " <td>141.990005</td>\n",
761
+ " <td>142.125000</td>\n",
762
+ " <td>142.380005</td>\n",
763
+ " </tr>\n",
764
+ " <tr>\n",
765
+ " <th>28</th>\n",
766
+ " <td>140.850006</td>\n",
767
+ " <td>140.779999</td>\n",
768
+ " <td>140.729996</td>\n",
769
+ " <td>140.740005</td>\n",
770
+ " <td>140.701996</td>\n",
771
+ " <td>140.779404</td>\n",
772
+ " <td>140.759995</td>\n",
773
+ " <td>140.875000</td>\n",
774
+ " <td>140.681198</td>\n",
775
+ " <td>140.835007</td>\n",
776
+ " <td>...</td>\n",
777
+ " <td>170.584793</td>\n",
778
+ " <td>170.820007</td>\n",
779
+ " <td>171.270004</td>\n",
780
+ " <td>171.169998</td>\n",
781
+ " <td>171.460007</td>\n",
782
+ " <td>170.964996</td>\n",
783
+ " <td>171.199997</td>\n",
784
+ " <td>174.239304</td>\n",
785
+ " <td>173.419998</td>\n",
786
+ " <td>NaN</td>\n",
787
+ " </tr>\n",
788
+ " <tr>\n",
789
+ " <th>29</th>\n",
790
+ " <td>133.889999</td>\n",
791
+ " <td>133.850006</td>\n",
792
+ " <td>133.800003</td>\n",
793
+ " <td>133.990005</td>\n",
794
+ " <td>134.044998</td>\n",
795
+ " <td>134.065002</td>\n",
796
+ " <td>134.110001</td>\n",
797
+ " <td>134.130005</td>\n",
798
+ " <td>134.223801</td>\n",
799
+ " <td>134.320007</td>\n",
800
+ " <td>...</td>\n",
801
+ " <td>130.970993</td>\n",
802
+ " <td>130.850006</td>\n",
803
+ " <td>130.975006</td>\n",
804
+ " <td>131.100006</td>\n",
805
+ " <td>131.089996</td>\n",
806
+ " <td>130.955002</td>\n",
807
+ " <td>131.089996</td>\n",
808
+ " <td>130.470001</td>\n",
809
+ " <td>130.429993</td>\n",
810
+ " <td>130.301697</td>\n",
811
+ " </tr>\n",
812
+ " <tr>\n",
813
+ " <th>30</th>\n",
814
+ " <td>23.934999</td>\n",
815
+ " <td>23.944401</td>\n",
816
+ " <td>23.934999</td>\n",
817
+ " <td>23.945000</td>\n",
818
+ " <td>23.924999</td>\n",
819
+ " <td>23.945000</td>\n",
820
+ " <td>23.984400</td>\n",
821
+ " <td>24.021700</td>\n",
822
+ " <td>24.009899</td>\n",
823
+ " <td>24.090000</td>\n",
824
+ " <td>...</td>\n",
825
+ " <td>23.115000</td>\n",
826
+ " <td>23.115000</td>\n",
827
+ " <td>23.135000</td>\n",
828
+ " <td>23.155001</td>\n",
829
+ " <td>23.170000</td>\n",
830
+ " <td>23.120001</td>\n",
831
+ " <td>23.110001</td>\n",
832
+ " <td>23.455000</td>\n",
833
+ " <td>23.455000</td>\n",
834
+ " <td>NaN</td>\n",
835
+ " </tr>\n",
836
+ " <tr>\n",
837
+ " <th>31</th>\n",
838
+ " <td>161.500000</td>\n",
839
+ " <td>161.660004</td>\n",
840
+ " <td>161.619995</td>\n",
841
+ " <td>161.660004</td>\n",
842
+ " <td>161.660004</td>\n",
843
+ " <td>161.679993</td>\n",
844
+ " <td>161.820007</td>\n",
845
+ " <td>161.929993</td>\n",
846
+ " <td>161.899994</td>\n",
847
+ " <td>161.889999</td>\n",
848
+ " <td>...</td>\n",
849
+ " <td>162.869995</td>\n",
850
+ " <td>162.910004</td>\n",
851
+ " <td>163.220001</td>\n",
852
+ " <td>163.062500</td>\n",
853
+ " <td>162.970001</td>\n",
854
+ " <td>162.542496</td>\n",
855
+ " <td>162.779999</td>\n",
856
+ " <td>164.559998</td>\n",
857
+ " <td>164.494995</td>\n",
858
+ " <td>NaN</td>\n",
859
+ " </tr>\n",
860
+ " <tr>\n",
861
+ " <th>32</th>\n",
862
+ " <td>148.220001</td>\n",
863
+ " <td>148.119995</td>\n",
864
+ " <td>147.970001</td>\n",
865
+ " <td>148.115997</td>\n",
866
+ " <td>147.779999</td>\n",
867
+ " <td>147.520004</td>\n",
868
+ " <td>147.679993</td>\n",
869
+ " <td>147.800003</td>\n",
870
+ " <td>147.550003</td>\n",
871
+ " <td>147.729996</td>\n",
872
+ " <td>...</td>\n",
873
+ " <td>147.695007</td>\n",
874
+ " <td>148.000000</td>\n",
875
+ " <td>148.399994</td>\n",
876
+ " <td>148.138000</td>\n",
877
+ " <td>148.300003</td>\n",
878
+ " <td>147.720001</td>\n",
879
+ " <td>147.539993</td>\n",
880
+ " <td>149.725006</td>\n",
881
+ " <td>150.080002</td>\n",
882
+ " <td>150.208405</td>\n",
883
+ " </tr>\n",
884
+ " <tr>\n",
885
+ " <th>33</th>\n",
886
+ " <td>27.354799</td>\n",
887
+ " <td>27.330000</td>\n",
888
+ " <td>27.334999</td>\n",
889
+ " <td>27.315001</td>\n",
890
+ " <td>27.315001</td>\n",
891
+ " <td>27.320101</td>\n",
892
+ " <td>27.315001</td>\n",
893
+ " <td>27.315001</td>\n",
894
+ " <td>27.340000</td>\n",
895
+ " <td>27.334999</td>\n",
896
+ " <td>...</td>\n",
897
+ " <td>27.705000</td>\n",
898
+ " <td>27.725000</td>\n",
899
+ " <td>27.775000</td>\n",
900
+ " <td>27.785000</td>\n",
901
+ " <td>27.825001</td>\n",
902
+ " <td>27.760000</td>\n",
903
+ " <td>27.770000</td>\n",
904
+ " <td>27.940001</td>\n",
905
+ " <td>27.905001</td>\n",
906
+ " <td>NaN</td>\n",
907
+ " </tr>\n",
908
+ " <tr>\n",
909
+ " <th>34</th>\n",
910
+ " <td>428.820007</td>\n",
911
+ " <td>428.809998</td>\n",
912
+ " <td>429.019989</td>\n",
913
+ " <td>429.614990</td>\n",
914
+ " <td>429.622101</td>\n",
915
+ " <td>429.619995</td>\n",
916
+ " <td>429.940002</td>\n",
917
+ " <td>429.825012</td>\n",
918
+ " <td>429.779999</td>\n",
919
+ " <td>429.911804</td>\n",
920
+ " <td>...</td>\n",
921
+ " <td>398.369995</td>\n",
922
+ " <td>398.579987</td>\n",
923
+ " <td>399.429993</td>\n",
924
+ " <td>399.350006</td>\n",
925
+ " <td>399.640015</td>\n",
926
+ " <td>398.029999</td>\n",
927
+ " <td>398.359985</td>\n",
928
+ " <td>403.609985</td>\n",
929
+ " <td>403.510010</td>\n",
930
+ " <td>NaN</td>\n",
931
+ " </tr>\n",
932
+ " <tr>\n",
933
+ " <th>35</th>\n",
934
+ " <td>285.842712</td>\n",
935
+ " <td>285.929993</td>\n",
936
+ " <td>285.815002</td>\n",
937
+ " <td>285.850006</td>\n",
938
+ " <td>285.760010</td>\n",
939
+ " <td>285.904999</td>\n",
940
+ " <td>286.339996</td>\n",
941
+ " <td>286.250000</td>\n",
942
+ " <td>286.035004</td>\n",
943
+ " <td>286.564209</td>\n",
944
+ " <td>...</td>\n",
945
+ " <td>281.750000</td>\n",
946
+ " <td>285.200012</td>\n",
947
+ " <td>286.614990</td>\n",
948
+ " <td>283.140106</td>\n",
949
+ " <td>284.559998</td>\n",
950
+ " <td>284.709991</td>\n",
951
+ " <td>284.731689</td>\n",
952
+ " <td>298.609314</td>\n",
953
+ " <td>298.989990</td>\n",
954
+ " <td>299.092896</td>\n",
955
+ " </tr>\n",
956
+ " <tr>\n",
957
+ " <th>36</th>\n",
958
+ " <td>411.345001</td>\n",
959
+ " <td>411.029999</td>\n",
960
+ " <td>411.119995</td>\n",
961
+ " <td>411.170013</td>\n",
962
+ " <td>411.304993</td>\n",
963
+ " <td>411.344788</td>\n",
964
+ " <td>411.605011</td>\n",
965
+ " <td>412.149994</td>\n",
966
+ " <td>412.100006</td>\n",
967
+ " <td>412.114990</td>\n",
968
+ " <td>...</td>\n",
969
+ " <td>294.782990</td>\n",
970
+ " <td>294.915009</td>\n",
971
+ " <td>295.869995</td>\n",
972
+ " <td>295.420013</td>\n",
973
+ " <td>296.375000</td>\n",
974
+ " <td>295.600006</td>\n",
975
+ " <td>295.890015</td>\n",
976
+ " <td>300.200012</td>\n",
977
+ " <td>298.815002</td>\n",
978
+ " <td>NaN</td>\n",
979
+ " </tr>\n",
980
+ " <tr>\n",
981
+ " <th>37</th>\n",
982
+ " <td>341.195007</td>\n",
983
+ " <td>341.394989</td>\n",
984
+ " <td>340.850006</td>\n",
985
+ " <td>340.880005</td>\n",
986
+ " <td>340.625000</td>\n",
987
+ " <td>340.785004</td>\n",
988
+ " <td>340.894989</td>\n",
989
+ " <td>340.869995</td>\n",
990
+ " <td>340.875000</td>\n",
991
+ " <td>341.208008</td>\n",
992
+ " <td>...</td>\n",
993
+ " <td>366.557190</td>\n",
994
+ " <td>366.709991</td>\n",
995
+ " <td>367.230011</td>\n",
996
+ " <td>367.165009</td>\n",
997
+ " <td>367.394989</td>\n",
998
+ " <td>366.684998</td>\n",
999
+ " <td>366.825012</td>\n",
1000
+ " <td>369.334991</td>\n",
1001
+ " <td>368.484985</td>\n",
1002
+ " <td>NaN</td>\n",
1003
+ " </tr>\n",
1004
+ " <tr>\n",
1005
+ " <th>38</th>\n",
1006
+ " <td>95.799896</td>\n",
1007
+ " <td>95.820000</td>\n",
1008
+ " <td>95.730003</td>\n",
1009
+ " <td>95.699997</td>\n",
1010
+ " <td>95.675003</td>\n",
1011
+ " <td>95.750000</td>\n",
1012
+ " <td>95.724998</td>\n",
1013
+ " <td>95.750000</td>\n",
1014
+ " <td>95.750000</td>\n",
1015
+ " <td>95.779999</td>\n",
1016
+ " <td>...</td>\n",
1017
+ " <td>97.800003</td>\n",
1018
+ " <td>97.875000</td>\n",
1019
+ " <td>98.004997</td>\n",
1020
+ " <td>97.945000</td>\n",
1021
+ " <td>98.089996</td>\n",
1022
+ " <td>97.800003</td>\n",
1023
+ " <td>97.940002</td>\n",
1024
+ " <td>98.165001</td>\n",
1025
+ " <td>98.260803</td>\n",
1026
+ " <td>NaN</td>\n",
1027
+ " </tr>\n",
1028
+ " <tr>\n",
1029
+ " <th>39</th>\n",
1030
+ " <td>108.184998</td>\n",
1031
+ " <td>108.264999</td>\n",
1032
+ " <td>108.169998</td>\n",
1033
+ " <td>108.199997</td>\n",
1034
+ " <td>108.144997</td>\n",
1035
+ " <td>108.143700</td>\n",
1036
+ " <td>108.379997</td>\n",
1037
+ " <td>108.480003</td>\n",
1038
+ " <td>108.595001</td>\n",
1039
+ " <td>108.561302</td>\n",
1040
+ " <td>...</td>\n",
1041
+ " <td>101.874001</td>\n",
1042
+ " <td>101.924698</td>\n",
1043
+ " <td>102.019997</td>\n",
1044
+ " <td>102.139999</td>\n",
1045
+ " <td>102.110001</td>\n",
1046
+ " <td>101.805000</td>\n",
1047
+ " <td>101.875000</td>\n",
1048
+ " <td>103.430000</td>\n",
1049
+ " <td>103.779999</td>\n",
1050
+ " <td>NaN</td>\n",
1051
+ " </tr>\n",
1052
+ " </tbody>\n",
1053
+ "</table>\n",
1054
+ "<p>40 rows × 2048 columns</p>\n",
1055
+ "</div>"
1056
+ ],
1057
+ "text/plain": [
1058
+ " 2025-04-29 18:35:00+00:00 2025-04-29 18:40:00+00:00 \\\n",
1059
+ "0 211.920105 211.804993 \n",
1060
+ "1 131.119995 131.139999 \n",
1061
+ "2 371.709991 371.940002 \n",
1062
+ "3 187.830002 187.729996 \n",
1063
+ "4 182.020004 182.229996 \n",
1064
+ "5 40.014999 40.000000 \n",
1065
+ "6 33.965000 33.924999 \n",
1066
+ "7 990.640015 989.539978 \n",
1067
+ "8 267.640015 267.369202 \n",
1068
+ "9 57.415001 57.395000 \n",
1069
+ "10 139.585007 139.554993 \n",
1070
+ "11 91.550003 91.514999 \n",
1071
+ "12 160.529907 160.429993 \n",
1072
+ "13 359.584991 359.635010 \n",
1073
+ "14 239.585007 239.581894 \n",
1074
+ "15 20.590000 20.594999 \n",
1075
+ "16 156.490005 156.434998 \n",
1076
+ "17 245.190002 244.845001 \n",
1077
+ "18 72.394997 72.400002 \n",
1078
+ "19 891.500000 891.059998 \n",
1079
+ "20 538.905029 538.835022 \n",
1080
+ "21 315.899994 315.950012 \n",
1081
+ "22 556.359924 555.941223 \n",
1082
+ "23 84.830101 84.820000 \n",
1083
+ "24 394.160004 393.859497 \n",
1084
+ "25 1121.935059 1121.750854 \n",
1085
+ "26 57.290001 57.409901 \n",
1086
+ "27 109.989998 110.054497 \n",
1087
+ "28 140.850006 140.779999 \n",
1088
+ "29 133.889999 133.850006 \n",
1089
+ "30 23.934999 23.944401 \n",
1090
+ "31 161.500000 161.660004 \n",
1091
+ "32 148.220001 148.119995 \n",
1092
+ "33 27.354799 27.330000 \n",
1093
+ "34 428.820007 428.809998 \n",
1094
+ "35 285.842712 285.929993 \n",
1095
+ "36 411.345001 411.029999 \n",
1096
+ "37 341.195007 341.394989 \n",
1097
+ "38 95.799896 95.820000 \n",
1098
+ "39 108.184998 108.264999 \n",
1099
+ "\n",
1100
+ " 2025-04-29 18:45:00+00:00 2025-04-29 18:50:00+00:00 \\\n",
1101
+ "0 211.550003 211.460007 \n",
1102
+ "1 130.985001 130.970001 \n",
1103
+ "2 371.690002 371.600006 \n",
1104
+ "3 187.600006 187.520004 \n",
1105
+ "4 182.009995 181.970001 \n",
1106
+ "5 39.994999 39.990002 \n",
1107
+ "6 33.930199 33.934200 \n",
1108
+ "7 989.715027 989.380005 \n",
1109
+ "8 267.394989 267.630005 \n",
1110
+ "9 57.375000 57.384998 \n",
1111
+ "10 139.449997 139.485001 \n",
1112
+ "11 91.470001 91.449997 \n",
1113
+ "12 160.365005 160.315002 \n",
1114
+ "13 359.195007 359.209991 \n",
1115
+ "14 239.580002 239.619995 \n",
1116
+ "15 20.565001 20.555000 \n",
1117
+ "16 156.350006 156.320007 \n",
1118
+ "17 244.634995 244.537796 \n",
1119
+ "18 72.360001 72.404999 \n",
1120
+ "19 890.415894 890.369995 \n",
1121
+ "20 538.525024 538.315125 \n",
1122
+ "21 315.465912 315.510010 \n",
1123
+ "22 555.840027 555.900024 \n",
1124
+ "23 84.781998 84.739998 \n",
1125
+ "24 393.750000 393.809998 \n",
1126
+ "25 1120.964966 1121.196411 \n",
1127
+ "26 57.450001 57.494999 \n",
1128
+ "27 109.870003 109.791000 \n",
1129
+ "28 140.729996 140.740005 \n",
1130
+ "29 133.800003 133.990005 \n",
1131
+ "30 23.934999 23.945000 \n",
1132
+ "31 161.619995 161.660004 \n",
1133
+ "32 147.970001 148.115997 \n",
1134
+ "33 27.334999 27.315001 \n",
1135
+ "34 429.019989 429.614990 \n",
1136
+ "35 285.815002 285.850006 \n",
1137
+ "36 411.119995 411.170013 \n",
1138
+ "37 340.850006 340.880005 \n",
1139
+ "38 95.730003 95.699997 \n",
1140
+ "39 108.169998 108.199997 \n",
1141
+ "\n",
1142
+ " 2025-04-29 18:55:00+00:00 2025-04-29 19:00:00+00:00 \\\n",
1143
+ "0 211.300003 211.241302 \n",
1144
+ "1 130.939896 130.925003 \n",
1145
+ "2 371.179993 371.304993 \n",
1146
+ "3 187.464996 187.520004 \n",
1147
+ "4 181.880005 181.797501 \n",
1148
+ "5 39.965302 39.974998 \n",
1149
+ "6 33.924999 33.919998 \n",
1150
+ "7 988.895386 990.369995 \n",
1151
+ "8 267.575012 267.779999 \n",
1152
+ "9 57.389900 57.395000 \n",
1153
+ "10 139.378998 139.419998 \n",
1154
+ "11 91.379997 91.375000 \n",
1155
+ "12 160.059998 160.050003 \n",
1156
+ "13 359.730011 359.890015 \n",
1157
+ "14 239.504700 239.490005 \n",
1158
+ "15 20.520000 20.470200 \n",
1159
+ "16 156.065002 156.125000 \n",
1160
+ "17 244.238403 244.404495 \n",
1161
+ "18 72.389999 72.400002 \n",
1162
+ "19 889.929993 889.916077 \n",
1163
+ "20 538.380005 538.842590 \n",
1164
+ "21 315.390015 315.730103 \n",
1165
+ "22 555.025024 554.700012 \n",
1166
+ "23 84.599998 84.705002 \n",
1167
+ "24 393.484985 393.850006 \n",
1168
+ "25 1119.510010 1119.930054 \n",
1169
+ "26 57.500000 57.480000 \n",
1170
+ "27 109.565002 109.580002 \n",
1171
+ "28 140.701996 140.779404 \n",
1172
+ "29 134.044998 134.065002 \n",
1173
+ "30 23.924999 23.945000 \n",
1174
+ "31 161.660004 161.679993 \n",
1175
+ "32 147.779999 147.520004 \n",
1176
+ "33 27.315001 27.320101 \n",
1177
+ "34 429.622101 429.619995 \n",
1178
+ "35 285.760010 285.904999 \n",
1179
+ "36 411.304993 411.344788 \n",
1180
+ "37 340.625000 340.785004 \n",
1181
+ "38 95.675003 95.750000 \n",
1182
+ "39 108.144997 108.143700 \n",
1183
+ "\n",
1184
+ " 2025-04-29 19:05:00+00:00 2025-04-29 19:10:00+00:00 \\\n",
1185
+ "0 211.495605 211.509995 \n",
1186
+ "1 131.035004 131.110001 \n",
1187
+ "2 371.470001 371.480011 \n",
1188
+ "3 187.679199 187.565002 \n",
1189
+ "4 182.050003 182.139999 \n",
1190
+ "5 39.994999 40.023399 \n",
1191
+ "6 33.924999 33.919998 \n",
1192
+ "7 989.239990 988.799988 \n",
1193
+ "8 267.929993 267.959991 \n",
1194
+ "9 57.334999 57.334999 \n",
1195
+ "10 139.580002 139.630005 \n",
1196
+ "11 91.410004 91.440002 \n",
1197
+ "12 160.330002 160.419998 \n",
1198
+ "13 359.825012 359.730011 \n",
1199
+ "14 239.479996 239.649994 \n",
1200
+ "15 20.504999 20.513700 \n",
1201
+ "16 156.066193 156.160004 \n",
1202
+ "17 244.669998 244.679993 \n",
1203
+ "18 72.434998 72.480003 \n",
1204
+ "19 889.750000 890.099976 \n",
1205
+ "20 538.760010 539.049988 \n",
1206
+ "21 315.637512 315.470001 \n",
1207
+ "22 554.479980 555.000000 \n",
1208
+ "23 84.730003 84.834999 \n",
1209
+ "24 393.787415 393.935913 \n",
1210
+ "25 1121.368896 1120.930054 \n",
1211
+ "26 57.505001 57.560001 \n",
1212
+ "27 109.688904 109.699997 \n",
1213
+ "28 140.759995 140.875000 \n",
1214
+ "29 134.110001 134.130005 \n",
1215
+ "30 23.984400 24.021700 \n",
1216
+ "31 161.820007 161.929993 \n",
1217
+ "32 147.679993 147.800003 \n",
1218
+ "33 27.315001 27.315001 \n",
1219
+ "34 429.940002 429.825012 \n",
1220
+ "35 286.339996 286.250000 \n",
1221
+ "36 411.605011 412.149994 \n",
1222
+ "37 340.894989 340.869995 \n",
1223
+ "38 95.724998 95.750000 \n",
1224
+ "39 108.379997 108.480003 \n",
1225
+ "\n",
1226
+ " 2025-04-29 19:15:00+00:00 2025-04-29 19:20:00+00:00 ... \\\n",
1227
+ "0 211.199997 211.410004 ... \n",
1228
+ "1 131.095001 131.119995 ... \n",
1229
+ "2 371.500000 371.700012 ... \n",
1230
+ "3 187.429993 187.625000 ... \n",
1231
+ "4 182.320007 182.235001 ... \n",
1232
+ "5 40.035000 40.040001 ... \n",
1233
+ "6 33.963600 33.994999 ... \n",
1234
+ "7 988.580017 989.422485 ... \n",
1235
+ "8 267.730988 268.179993 ... \n",
1236
+ "9 57.305000 57.395000 ... \n",
1237
+ "10 139.649994 139.625000 ... \n",
1238
+ "11 91.400002 91.455002 ... \n",
1239
+ "12 160.379898 160.360001 ... \n",
1240
+ "13 359.609985 359.959991 ... \n",
1241
+ "14 239.580002 239.794998 ... \n",
1242
+ "15 20.475000 20.469999 ... \n",
1243
+ "16 156.110001 156.125000 ... \n",
1244
+ "17 244.619995 244.910004 ... \n",
1245
+ "18 72.457298 72.455002 ... \n",
1246
+ "19 889.000000 889.659973 ... \n",
1247
+ "20 539.195007 539.688782 ... \n",
1248
+ "21 315.299988 315.454987 ... \n",
1249
+ "22 554.193176 555.000000 ... \n",
1250
+ "23 84.805000 84.919998 ... \n",
1251
+ "24 393.769989 394.010010 ... \n",
1252
+ "25 1120.799927 1122.050049 ... \n",
1253
+ "26 57.564999 57.619999 ... \n",
1254
+ "27 109.255699 109.379997 ... \n",
1255
+ "28 140.681198 140.835007 ... \n",
1256
+ "29 134.223801 134.320007 ... \n",
1257
+ "30 24.009899 24.090000 ... \n",
1258
+ "31 161.899994 161.889999 ... \n",
1259
+ "32 147.550003 147.729996 ... \n",
1260
+ "33 27.340000 27.334999 ... \n",
1261
+ "34 429.779999 429.911804 ... \n",
1262
+ "35 286.035004 286.564209 ... \n",
1263
+ "36 412.100006 412.114990 ... \n",
1264
+ "37 340.875000 341.208008 ... \n",
1265
+ "38 95.750000 95.779999 ... \n",
1266
+ "39 108.595001 108.561302 ... \n",
1267
+ "\n",
1268
+ " 2025-06-05 19:25:00+00:00 2025-06-05 19:30:00+00:00 \\\n",
1269
+ "0 200.729996 200.880005 \n",
1270
+ "1 133.899994 133.899994 \n",
1271
+ "2 415.299988 416.000000 \n",
1272
+ "3 208.494995 208.506195 \n",
1273
+ "4 208.860001 209.088303 \n",
1274
+ "5 44.285000 44.355000 \n",
1275
+ "6 34.188999 34.224998 \n",
1276
+ "7 1010.789978 1010.659973 \n",
1277
+ "8 266.265015 266.744995 \n",
1278
+ "9 64.610001 64.625000 \n",
1279
+ "10 136.964996 136.990005 \n",
1280
+ "11 112.285004 112.440002 \n",
1281
+ "12 168.210007 168.255005 \n",
1282
+ "13 368.829987 369.135010 \n",
1283
+ "14 265.850006 266.309998 \n",
1284
+ "15 19.955000 20.029699 \n",
1285
+ "16 153.845001 153.710007 \n",
1286
+ "17 261.047485 261.350006 \n",
1287
+ "18 71.004997 70.934998 \n",
1288
+ "19 761.500000 762.429993 \n",
1289
+ "20 583.924988 584.419983 \n",
1290
+ "21 308.454987 308.720001 \n",
1291
+ "22 684.989990 686.200012 \n",
1292
+ "23 77.550003 77.580002 \n",
1293
+ "24 467.429993 467.859985 \n",
1294
+ "25 1248.354980 1251.709961 \n",
1295
+ "26 62.419998 62.520000 \n",
1296
+ "27 139.590103 140.048996 \n",
1297
+ "28 170.584793 170.820007 \n",
1298
+ "29 130.970993 130.850006 \n",
1299
+ "30 23.115000 23.115000 \n",
1300
+ "31 162.869995 162.910004 \n",
1301
+ "32 147.695007 148.000000 \n",
1302
+ "33 27.705000 27.725000 \n",
1303
+ "34 398.369995 398.579987 \n",
1304
+ "35 281.750000 285.200012 \n",
1305
+ "36 294.782990 294.915009 \n",
1306
+ "37 366.557190 366.709991 \n",
1307
+ "38 97.800003 97.875000 \n",
1308
+ "39 101.874001 101.924698 \n",
1309
+ "\n",
1310
+ " 2025-06-05 19:35:00+00:00 2025-06-05 19:40:00+00:00 \\\n",
1311
+ "0 201.210007 200.800003 \n",
1312
+ "1 133.985001 134.039993 \n",
1313
+ "2 416.904999 416.554993 \n",
1314
+ "3 209.110001 208.910004 \n",
1315
+ "4 209.705002 209.425003 \n",
1316
+ "5 44.435001 44.384998 \n",
1317
+ "6 34.285000 34.275002 \n",
1318
+ "7 1012.719971 1010.710022 \n",
1319
+ "8 267.019989 267.070007 \n",
1320
+ "9 64.724998 64.724998 \n",
1321
+ "10 137.164993 137.240005 \n",
1322
+ "11 112.684998 112.680000 \n",
1323
+ "12 168.869995 168.654999 \n",
1324
+ "13 369.855011 369.660004 \n",
1325
+ "14 266.920013 266.899994 \n",
1326
+ "15 20.098801 20.055000 \n",
1327
+ "16 153.800003 153.934998 \n",
1328
+ "17 261.890015 261.739990 \n",
1329
+ "18 71.004997 71.025002 \n",
1330
+ "19 764.650024 765.104980 \n",
1331
+ "20 585.380005 585.200012 \n",
1332
+ "21 309.390015 309.579987 \n",
1333
+ "22 687.695007 685.770020 \n",
1334
+ "23 77.745003 77.830002 \n",
1335
+ "24 468.959991 468.410004 \n",
1336
+ "25 1254.925049 1253.310059 \n",
1337
+ "26 62.680000 62.689999 \n",
1338
+ "27 140.350006 140.175003 \n",
1339
+ "28 171.270004 171.169998 \n",
1340
+ "29 130.975006 131.100006 \n",
1341
+ "30 23.135000 23.155001 \n",
1342
+ "31 163.220001 163.062500 \n",
1343
+ "32 148.399994 148.138000 \n",
1344
+ "33 27.775000 27.785000 \n",
1345
+ "34 399.429993 399.350006 \n",
1346
+ "35 286.614990 283.140106 \n",
1347
+ "36 295.869995 295.420013 \n",
1348
+ "37 367.230011 367.165009 \n",
1349
+ "38 98.004997 97.945000 \n",
1350
+ "39 102.019997 102.139999 \n",
1351
+ "\n",
1352
+ " 2025-06-05 19:45:00+00:00 2025-06-05 19:50:00+00:00 \\\n",
1353
+ "0 200.914993 200.380005 \n",
1354
+ "1 134.104996 133.740005 \n",
1355
+ "2 416.359985 414.904999 \n",
1356
+ "3 208.964996 208.100006 \n",
1357
+ "4 209.669998 208.934998 \n",
1358
+ "5 44.415001 44.365002 \n",
1359
+ "6 34.305000 34.174999 \n",
1360
+ "7 1012.559998 1009.440002 \n",
1361
+ "8 267.174988 266.440002 \n",
1362
+ "9 64.790001 64.550003 \n",
1363
+ "10 137.210007 136.850006 \n",
1364
+ "11 112.775002 112.360001 \n",
1365
+ "12 168.690002 168.169998 \n",
1366
+ "13 369.700012 368.570007 \n",
1367
+ "14 267.209991 266.540009 \n",
1368
+ "15 20.084999 19.990000 \n",
1369
+ "16 153.979996 153.470001 \n",
1370
+ "17 262.024994 261.559998 \n",
1371
+ "18 71.025002 70.849998 \n",
1372
+ "19 765.890015 764.120789 \n",
1373
+ "20 585.320007 584.062927 \n",
1374
+ "21 309.609009 308.665009 \n",
1375
+ "22 686.349976 685.010010 \n",
1376
+ "23 77.885002 77.639999 \n",
1377
+ "24 468.565002 467.350006 \n",
1378
+ "25 1253.590088 1250.574951 \n",
1379
+ "26 62.732800 62.610001 \n",
1380
+ "27 140.460007 139.990005 \n",
1381
+ "28 171.460007 170.964996 \n",
1382
+ "29 131.089996 130.955002 \n",
1383
+ "30 23.170000 23.120001 \n",
1384
+ "31 162.970001 162.542496 \n",
1385
+ "32 148.300003 147.720001 \n",
1386
+ "33 27.825001 27.760000 \n",
1387
+ "34 399.640015 398.029999 \n",
1388
+ "35 284.559998 284.709991 \n",
1389
+ "36 296.375000 295.600006 \n",
1390
+ "37 367.394989 366.684998 \n",
1391
+ "38 98.089996 97.800003 \n",
1392
+ "39 102.110001 101.805000 \n",
1393
+ "\n",
1394
+ " 2025-06-05 19:55:00+00:00 2025-06-06 13:30:00+00:00 \\\n",
1395
+ "0 200.550003 205.021698 \n",
1396
+ "1 133.919998 134.529999 \n",
1397
+ "2 415.200012 417.290009 \n",
1398
+ "3 207.850006 210.779999 \n",
1399
+ "4 209.179993 209.990005 \n",
1400
+ "5 44.369999 44.904999 \n",
1401
+ "6 34.240002 34.689999 \n",
1402
+ "7 1010.530029 1012.315002 \n",
1403
+ "8 267.100006 268.722504 \n",
1404
+ "9 64.650002 65.589996 \n",
1405
+ "10 136.945007 139.449997 \n",
1406
+ "11 112.514999 114.129997 \n",
1407
+ "12 168.220001 171.669998 \n",
1408
+ "13 369.350006 371.404999 \n",
1409
+ "14 266.820007 268.142487 \n",
1410
+ "15 19.990000 20.360001 \n",
1411
+ "16 153.639999 155.089996 \n",
1412
+ "17 261.970001 265.095001 \n",
1413
+ "18 70.940002 71.279999 \n",
1414
+ "19 765.969971 768.690002 \n",
1415
+ "20 585.440002 588.650024 \n",
1416
+ "21 308.970001 308.325012 \n",
1417
+ "22 684.419983 697.229980 \n",
1418
+ "23 77.650002 78.959999 \n",
1419
+ "24 467.609985 469.520294 \n",
1420
+ "25 1250.829956 1248.181885 \n",
1421
+ "26 62.639999 62.790001 \n",
1422
+ "27 139.949997 141.990005 \n",
1423
+ "28 171.199997 174.239304 \n",
1424
+ "29 131.089996 130.470001 \n",
1425
+ "30 23.110001 23.455000 \n",
1426
+ "31 162.779999 164.559998 \n",
1427
+ "32 147.539993 149.725006 \n",
1428
+ "33 27.770000 27.940001 \n",
1429
+ "34 398.359985 403.609985 \n",
1430
+ "35 284.731689 298.609314 \n",
1431
+ "36 295.890015 300.200012 \n",
1432
+ "37 366.825012 369.334991 \n",
1433
+ "38 97.940002 98.165001 \n",
1434
+ "39 101.875000 103.430000 \n",
1435
+ "\n",
1436
+ " 2025-06-06 13:35:00+00:00 2025-06-06 13:40:00+00:00 \n",
1437
+ "0 204.977707 NaN \n",
1438
+ "1 134.389999 NaN \n",
1439
+ "2 417.079987 417.500000 \n",
1440
+ "3 211.850800 212.429993 \n",
1441
+ "4 210.395004 NaN \n",
1442
+ "5 44.935001 NaN \n",
1443
+ "6 34.654999 34.654999 \n",
1444
+ "7 1011.419983 1014.000000 \n",
1445
+ "8 268.924988 NaN \n",
1446
+ "9 65.389999 65.443298 \n",
1447
+ "10 139.634995 NaN \n",
1448
+ "11 113.919998 NaN \n",
1449
+ "12 171.525497 171.580002 \n",
1450
+ "13 370.375000 NaN \n",
1451
+ "14 268.236511 NaN \n",
1452
+ "15 20.405500 20.410000 \n",
1453
+ "16 154.930496 NaN \n",
1454
+ "17 264.950012 NaN \n",
1455
+ "18 71.270203 NaN \n",
1456
+ "19 768.664978 NaN \n",
1457
+ "20 588.349976 NaN \n",
1458
+ "21 308.649994 NaN \n",
1459
+ "22 700.359985 701.509583 \n",
1460
+ "23 78.860001 NaN \n",
1461
+ "24 470.404999 471.000000 \n",
1462
+ "25 1247.890015 1250.069946 \n",
1463
+ "26 62.669998 NaN \n",
1464
+ "27 142.125000 142.380005 \n",
1465
+ "28 173.419998 NaN \n",
1466
+ "29 130.429993 130.301697 \n",
1467
+ "30 23.455000 NaN \n",
1468
+ "31 164.494995 NaN \n",
1469
+ "32 150.080002 150.208405 \n",
1470
+ "33 27.905001 NaN \n",
1471
+ "34 403.510010 NaN \n",
1472
+ "35 298.989990 299.092896 \n",
1473
+ "36 298.815002 NaN \n",
1474
+ "37 368.484985 NaN \n",
1475
+ "38 98.260803 NaN \n",
1476
+ "39 103.779999 NaN \n",
1477
+ "\n",
1478
+ "[40 rows x 2048 columns]"
1479
+ ]
1480
+ },
1481
+ "execution_count": 14,
1482
+ "metadata": {},
1483
+ "output_type": "execute_result"
1484
+ }
1485
+ ],
1486
+ "source": [
1487
+ "import pandas as pd\n",
1488
+ "\n",
1489
+ "df = pd.read_csv(\"data/stocks_data_noindex.csv\")\n",
1490
+ "\n",
1491
+ "df.shape\n",
1492
+ "df.iloc[:,-2048:]"
1493
  ]
1494
  },
1495
  {
 
3129
  "metadata": {},
3130
  "outputs": [],
3131
  "source": [
3132
+ "# maybe some sanity checks in regard to the input would be good\n",
3133
+ "# maxium of idk maybe 30? variates (to save compute and avoid visualization problems) -> with just sending error messages when more thant that are in the input file\n",
3134
+ "# series longer than 2048 we can cut off (tirex is anyway doing that internally)\n",
3135
+ "# apart from that maybe check with \n",
3136
+ "# @Elias Bürger\n",
3137
+ "# how one then can set this up in hugginface (if there are open questions) - it would be cool if it would be possible to set it up first \"private\" so that we can test it on hugginface and then set it public afterwards (edited) \n",
3138
  "\n",
3139
  "# '''\n",
3140
  "# 8. *Range of prediction length customizable \n",