Stateful Strategy Optimization¶
This template uses the QNT optimizer to find the best parameters for a stateful strategy
You can clone and edit this example there (tab Examples).
This template demonstrates a method for finding optimal values for each parameter in your stateful/multi-pass strategy. These strategies use day-by-day processing and rely on previous day's input to make decisions. If you are not familiar with stateful strategies, you can take a look at Stateful Long-Short with Exits. For single-pass submissions, please take a look at Trading System Optimization.
When you begin writing your trading strategies, the simplest method is to employ technical analysis. However, relying solely on pure technical analysis is often insufficient. You need to adjust the parameters of technical indicators to get an idea of how they affect the Sharpe Ratio and other statistics.
There is a significant risk of creating an overfitted strategy when using such optimization techniques. Overfitting can be mitigated by using less parameters, bigger ranges between them and examining the results to see how system behaves with the changes. This example illustrates how to implement this approach effectively, reducing the impact of overfitting and enhancing the robustness of your trading strategies.
In [1]:
import xarray as xr
import numpy as np
import pandas as pd
import plotly.express as px
import qnt.backtester as qnbt
import qnt.data as qndata
import qnt.ta as qnta
import qnt.optimizer as qno
import qnt.state as qnstate
import qnt.exits as qnte
Strategy Function
Here you can define your strategy and enter desired parameters as the arguments.
In [2]:
def strategy(data, state, p1=7.5, p2 = 3, p3 = 18, p4 = 6, p5 = 0.5, p6 = -17):
#Technical indicators
close = data.sel(field='close')
open_ = data.sel(field='open')
atr14 = qnta.atr(data.sel(field='high'), data.sel(field='low'), data.sel(field='close'), 14)
last_atr = atr14.isel(time=-1)
atr_perc = xr.where(atr14/close > 0.01, atr14/close, 0.01)
sma40 = qnta.sma(close, 40)
sma70 = qnta.sma(close, 70)
sma200 = qnta.sma(close, 200)
rsi120 = qnta.rsi(close, 120)
candle = close - open_
candlesma100 = qnta.sma(abs(candle), 100)
roc1day = qnta.roc(close, 1)
if state is None:
state = {
"weights": xr.zeros_like(close),
"open_price": xr.full_like(data.isel(time=-1).asset, np.nan, dtype=int),
"holding_time": xr.zeros_like(data.isel(time=-1).asset, dtype=int),
}
weights_prev = state['weights']
#To reuse the template, define your trading signals here ---------------------
long_signal = xr.where(sma40 > sma200, xr.where(sma40.shift(time=1) < sma200.shift(time=1), p4, 0), 0)
long_signal_2 = xr.where(candle > candlesma100.shift(time=1) * 4.5, p5, 0)
short_signal = xr.where(rsi120 > 65 , p6, 0)
exit1 = xr.where(close < sma70, 0, 1)
exit2 = xr.where(roc1day < -5, 0, 1)
entry_signal = short_signal + (long_signal + long_signal_2) * exit1 * exit2
entry_signal = entry_signal/atr_perc
# ----------------------------------------------------------------------------
#Keeping track of the previous position
weights_prev, entry_signal = xr.align(weights_prev, entry_signal, join='right')
weights = xr.where(entry_signal == 0, weights_prev.shift(time=1), entry_signal)
weights = weights.fillna(0)
#Define additional exit parameters here----------------------------------
open_price = qnte.update_open_price(data, weights, state) #Update open prices on position change to use with exits
signal_tp = qnte.take_profit_long_atr(data, weights, open_price, last_atr, atr_amount = p1) #Exit long positions if current close is bigger than entry price + 7*ATR
signal_sl = qnte.stop_loss_long_atr(data, weights, open_price, last_atr, atr_amount = p2) #Exit long positions if current close is lower than entry price - 3*ATR
signal_dc = qnte.max_hold_short(weights, state, max_period = p3) #Exit short positions after 10 periods (depending on the data - days, hours etc)
weights = weights * signal_tp * signal_sl * signal_dc
#------------------------------------------------------------------------
state['weights'] = weights
return weights, state
All optimization code cells in this notebook begin with the comment #DEBUG#. This ensures that the Quantiacs backtester will ignore these cells during submission, preventing execution and simplifying the submission process without requiring you to delete or comment out optimizers.
In [3]:
#DEBUG#
data = qndata.stocks.load_ndx_data(min_date="2004-01-01") #Load the data for selected competition type
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Optimization Guidelines for Quantiacs Backtester¶
The Quantiacs library offers two functions for parameter optimization:
full_range_args_generator: This function exhaustively explores all possible parameter combinations you define.random_range_args_generator: This function performs a fixed number of random iterations.
To save time, we recommend using random_range_args_generator. Running a defined number of iterations (usually 1-5% of the total grid) often provides sufficient insight into the overall results of the parametric analysis.
In the example strategy, the 3 iterations defined in the function will take approximately 20 minutes to complete. You can adjust the number of iterations based on your needs—either reducing it for quicker results or increasing it for more thorough analysis, especially if you can let the notebook run for extended periods, such as overnight. Furthermore, it is not necessary to put all of the parameters into the optimizer at once. You can tune them separately to get a better idea of what gives you good results for each one.
In [4]:
#DEBUG#
results = qno.optimize_strategy(
data,
strategy,
qno.random_range_args_generator(iterations = 3,
p3=range(5, 25, 2),
p4=np.arange(3, 6.5, 0.5),
p5=np.arange(0.5, 2, 0.5),
p6=range(-10, -21, -5)),
lookback_period = 365, #Lookback period, default is 365 days
workers=1 # you can set more workers on your local PC to speed up
)
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) Cell In[4], line 2 1 #DEBUG# ----> 2 results = qno.optimize_strategy( 3 data, 4 strategy, 5 qno.random_range_args_generator(iterations = 3, 6 p3=range(5, 25, 2), 7 p4=np.arange(3, 6.5, 0.5), 8 p5=np.arange(0.5, 2, 0.5), 9 p6=range(-10, -21, -5)), 10 lookback_period = 365, #Lookback period, default is 365 days 11 workers=1 # you can set more workers on your local PC to speed up 12 ) TypeError: optimize_strategy() got an unexpected keyword argument 'lookback_period'
Optimizer will create a dictionary with all the results which you can then sort by Sharpe Ratio - see below. This can help you pick the best combination and also see how different parameters influence the score.
When you want to use the selected parameters in your strategy, simply replace the arguments in the strategy function with the optimizer output
In [5]:
#DEBUG#
all_points = [(elem['weight'], elem['args']) for elem in results['iterations']]
best_points = sorted(all_points, reverse=True)[:10]
best_points
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[5], line 2 1 #DEBUG# ----> 2 all_points = [(elem['weight'], elem['args']) for elem in results['iterations']] 3 best_points = sorted(all_points, reverse=True)[:10] 5 best_points NameError: name 'results' is not defined
Visualization and Analysis of Optimization Results¶
You can find 2 visualization functions below. The first one helps identify how different parameters affect the Sharpe Ratio, facilitating the selection of optimal parameters for the strategy. The second one displays all parameters on a 3D plot, displaying the overall distribution and behavior of the results. You can use these to change (narrow down or expand) parameter ranges, exclude certain parameters and generally get a better grip on where to look for potential improvements. When you are done, simply run the backtester with optimized parameters.
In [6]:
#DEBUG#
sharpe_ratio = [item[0] for item in all_points]
parameters = [item[1] for item in all_points]
param_df = pd.DataFrame(parameters)
param_df['Sharpe Ratio'] = sharpe_ratio
param_columns = param_df.columns[:-1]
labels = {col: col for col in param_columns}
labels['Sharpe Ratio'] = 'Sharpe Ratio'
fig = px.scatter(
param_df,
x=param_columns[0],
y='Sharpe Ratio',
color='Sharpe Ratio',
title='Parameter influence on Sharpe Ratio',
labels=labels,
color_continuous_scale='temps_r',
range_color=[0, 1]
)
fig.update_traces(marker={'size': 15})
dropdown_buttons = [
{
'args': [{'x': [param_df[col]], 'color': 'Sharpe Ratio'}, {'xaxis.title.text': col}],
'label': col,
'method': 'update',
}
for col in param_columns
]
fig.update_layout(
updatemenus=[{
'buttons': dropdown_buttons,
'direction': 'down',
'showactive': True,
'x': 1.15,
'xanchor': 'right',
'y': 1.15,
'yanchor': 'top'
}]
)
fig.show()
print("---")
print("Best iteration:")
display(results['best_iteration'])
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[6], line 2 1 #DEBUG# ----> 2 sharpe_ratio = [item[0] for item in all_points] 3 parameters = [item[1] for item in all_points] 5 param_df = pd.DataFrame(parameters) NameError: name 'all_points' is not defined
In [7]:
#DEBUG#
qno.build_plot(results)
--------------------------------------------------------------------------- NameError Traceback (most recent call last) Cell In[7], line 2 1 #DEBUG# ----> 2 qno.build_plot(results) NameError: name 'results' is not defined
Final Strategy Submission
This section runs the strategy with finalized parameters to generate the weight outputs for submission. Once you find the best combination of parameters, simply put them in the best_params dictionary, and it will run the backtest using them.
In [8]:
best_params = dict(p1=7.5, p2 = 3, p3 = 18, p4 = 6, p5 = 0.5, p6 = -17) #Choice of optimized parameters
def best_strategy(data, state):
return strategy(data, state, **best_params)
weights, state = qnbt.backtest(
competition_type="stocks_nasdaq100",
lookback_period=365, # lookback in calendar days
start_date="2006-01-01",
strategy=best_strategy,
analyze=True,
build_plots=True,
collect_all_states=False
)
Run last pass...
Load data...
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Run strategy...
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Output cleaning...
fix uniq
ffill if the current price is None...
Check liquidity...
WARNING! Strategy trades non-liquid assets.
Fix liquidity...
Ok.
Check missed dates...
Ok.
Normalization...
Output cleaning is complete.
Write result...
Write output: /root/fractions.nc.gz
State saved.
---
Run first pass...
Load data...
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Run strategy... ---
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---
Run iterations...
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3% (167 of 4703) | | Elapsed Time: 0:00:14 ETA: 0:06:25
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3% (174 of 4703) | | Elapsed Time: 0:00:14 ETA: 0:06:27
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3% (178 of 4703) | | Elapsed Time: 0:00:15 ETA: 0:06:29
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3% (181 of 4703) | | Elapsed Time: 0:00:15 ETA: 0:06:22
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4% (189 of 4703) | | Elapsed Time: 0:00:16 ETA: 0:06:21
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4% (199 of 4703) | | Elapsed Time: 0:00:16 ETA: 0:06:15
4% (201 of 4703) | | Elapsed Time: 0:00:17 ETA: 0:06:16
4% (203 of 4703) | | Elapsed Time: 0:00:17 ETA: 0:06:15
4% (205 of 4703) | | Elapsed Time: 0:00:17 ETA: 0:06:16
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4% (213 of 4703) | | Elapsed Time: 0:00:18 ETA: 0:06:20
4% (215 of 4703) | | Elapsed Time: 0:00:18 ETA: 0:06:21
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4% (219 of 4703) | | Elapsed Time: 0:00:18 ETA: 0:06:23
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4% (223 of 4703) | | Elapsed Time: 0:00:18 ETA: 0:06:28
4% (225 of 4703) |# | Elapsed Time: 0:00:19 ETA: 0:06:27
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5% (271 of 4703) |# | Elapsed Time: 0:00:23 ETA: 0:06:14
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5% (279 of 4703) |# | Elapsed Time: 0:00:23 ETA: 0:06:08
5% (281 of 4703) |# | Elapsed Time: 0:00:23 ETA: 0:06:06
6% (283 of 4703) |# | Elapsed Time: 0:00:23 ETA: 0:06:04
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6% (287 of 4703) |# | Elapsed Time: 0:00:24 ETA: 0:06:03
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6% (293 of 4703) |# | Elapsed Time: 0:00:24 ETA: 0:05:58
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6% (297 of 4703) |# | Elapsed Time: 0:00:25 ETA: 0:05:59
6% (298 of 4703) |# | Elapsed Time: 0:00:25 ETA: 0:05:59
6% (300 of 4703) |# | Elapsed Time: 0:00:25 ETA: 0:06:01
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6% (306 of 4703) |# | Elapsed Time: 0:00:25 ETA: 0:06:04
6% (308 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:11
6% (310 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:13
6% (312 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:13
6% (314 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:14
6% (316 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:12
6% (318 of 4703) |# | Elapsed Time: 0:00:26 ETA: 0:06:13
6% (320 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:11
6% (322 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:11
6% (324 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:10
6% (326 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:10
6% (328 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:07
7% (330 of 4703) |# | Elapsed Time: 0:00:27 ETA: 0:06:06
7% (332 of 4703) |# | Elapsed Time: 0:00:28 ETA: 0:06:05
7% (334 of 4703) |# | Elapsed Time: 0:00:28 ETA: 0:05:58
7% (336 of 4703) |# | Elapsed Time: 0:00:28 ETA: 0:05:56
7% (338 of 4703) |# | Elapsed Time: 0:00:28 ETA: 0:05:55
7% (340 of 4703) |# | Elapsed Time: 0:00:28 ETA: 0:05:55
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7% (344 of 4703) |# | Elapsed Time: 0:00:29 ETA: 0:05:56
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7% (348 of 4703) |# | Elapsed Time: 0:00:29 ETA: 0:06:00
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7% (354 of 4703) |# | Elapsed Time: 0:00:29 ETA: 0:06:00
7% (356 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:00
7% (358 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:00
7% (360 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:01
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7% (363 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:04
7% (365 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:03
7% (367 of 4703) |# | Elapsed Time: 0:00:30 ETA: 0:06:03
7% (369 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:06:02
7% (371 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:06:00
7% (373 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:05:59
7% (375 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:05:59
8% (377 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:06:00
8% (379 of 4703) |# | Elapsed Time: 0:00:31 ETA: 0:05:59
8% (381 of 4703) |# | Elapsed Time: 0:00:32 ETA: 0:05:59
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8% (385 of 4703) |# | Elapsed Time: 0:00:32 ETA: 0:05:58
8% (387 of 4703) |# | Elapsed Time: 0:00:32 ETA: 0:05:54
8% (388 of 4703) |# | Elapsed Time: 0:00:32 ETA: 0:05:58
8% (390 of 4703) |# | Elapsed Time: 0:00:32 ETA: 0:05:59
8% (392 of 4703) |# | Elapsed Time: 0:00:33 ETA: 0:06:00
8% (394 of 4703) |# | Elapsed Time: 0:00:33 ETA: 0:06:01
8% (396 of 4703) |# | Elapsed Time: 0:00:33 ETA: 0:05:59
8% (398 of 4703) |# | Elapsed Time: 0:00:33 ETA: 0:05:59
8% (400 of 4703) |# | Elapsed Time: 0:00:33 ETA: 0:05:57
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8% (404 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:57
8% (406 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:57
8% (408 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:57
8% (410 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:56
8% (412 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:56
8% (413 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:56
8% (415 of 4703) |# | Elapsed Time: 0:00:34 ETA: 0:05:56
8% (417 of 4703) |# | Elapsed Time: 0:00:35 ETA: 0:05:54
8% (419 of 4703) |# | Elapsed Time: 0:00:35 ETA: 0:05:53
8% (421 of 4703) |# | Elapsed Time: 0:00:35 ETA: 0:05:55
8% (423 of 4703) |# | Elapsed Time: 0:00:35 ETA: 0:05:56
9% (425 of 4703) |# | Elapsed Time: 0:00:35 ETA: 0:05:59
9% (427 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:04
9% (429 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:07
9% (431 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:09
9% (433 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:13
9% (435 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:13
9% (437 of 4703) |# | Elapsed Time: 0:00:36 ETA: 0:06:09
9% (439 of 4703) |# | Elapsed Time: 0:00:37 ETA: 0:06:11
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9% (445 of 4703) |# | Elapsed Time: 0:00:37 ETA: 0:06:12
9% (447 of 4703) |# | Elapsed Time: 0:00:37 ETA: 0:06:11
9% (449 of 4703) |## | Elapsed Time: 0:00:37 ETA: 0:06:08
9% (451 of 4703) |## | Elapsed Time: 0:00:38 ETA: 0:06:03
9% (453 of 4703) |## | Elapsed Time: 0:00:38 ETA: 0:05:59
9% (455 of 4703) |## | Elapsed Time: 0:00:38 ETA: 0:05:58
9% (457 of 4703) |## | Elapsed Time: 0:00:38 ETA: 0:05:58
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9% (461 of 4703) |## | Elapsed Time: 0:00:38 ETA: 0:06:03
9% (463 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:06:00
9% (465 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:05:58
9% (467 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:06:00
9% (469 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:06:02
10% (471 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:06:05
10% (473 of 4703) |## | Elapsed Time: 0:00:39 ETA: 0:06:04
10% (475 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:03
10% (477 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:06
10% (479 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:09
10% (481 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:07
10% (482 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:09
10% (484 of 4703) |## | Elapsed Time: 0:00:40 ETA: 0:06:06
10% (485 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:06
10% (487 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:10
10% (489 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:10
10% (491 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:09
10% (493 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:10
10% (495 of 4703) |## | Elapsed Time: 0:00:41 ETA: 0:06:09
10% (497 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:12
10% (499 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:14
10% (501 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:12
10% (502 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:15
10% (504 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:18
10% (506 of 4703) |## | Elapsed Time: 0:00:42 ETA: 0:06:12
10% (508 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:11
10% (510 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:07
10% (512 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:12
10% (514 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:09
10% (516 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:06
11% (518 of 4703) |## | Elapsed Time: 0:00:43 ETA: 0:06:04
11% (520 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:06:03
11% (522 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:06:01
11% (524 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:06:00
11% (526 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:05:56
11% (528 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:05:54
11% (530 of 4703) |## | Elapsed Time: 0:00:44 ETA: 0:05:57
11% (532 of 4703) |## | Elapsed Time: 0:00:45 ETA: 0:05:57
11% (534 of 4703) |## | Elapsed Time: 0:00:45 ETA: 0:05:57
11% (536 of 4703) |## | Elapsed Time: 0:00:45 ETA: 0:05:52
11% (538 of 4703) |## | Elapsed Time: 0:00:45 ETA: 0:05:52
11% (540 of 4703) |## | Elapsed Time: 0:00:45 ETA: 0:05:50
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11% (550 of 4703) |## | Elapsed Time: 0:00:46 ETA: 0:05:47
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11% (560 of 4703) |## | Elapsed Time: 0:00:47 ETA: 0:05:55
11% (562 of 4703) |## | Elapsed Time: 0:00:47 ETA: 0:05:57
11% (564 of 4703) |## | Elapsed Time: 0:00:47 ETA: 0:06:03
12% (566 of 4703) |## | Elapsed Time: 0:00:48 ETA: 0:06:04
12% (568 of 4703) |## | Elapsed Time: 0:00:48 ETA: 0:06:07
12% (570 of 4703) |## | Elapsed Time: 0:00:48 ETA: 0:06:07
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12% (574 of 4703) |## | Elapsed Time: 0:00:48 ETA: 0:06:08
12% (576 of 4703) |## | Elapsed Time: 0:00:48 ETA: 0:06:10
12% (578 of 4703) |## | Elapsed Time: 0:00:49 ETA: 0:06:07
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12% (589 of 4703) |## | Elapsed Time: 0:00:50 ETA: 0:06:02
12% (591 of 4703) |## | Elapsed Time: 0:00:50 ETA: 0:06:00
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12% (595 of 4703) |## | Elapsed Time: 0:00:50 ETA: 0:06:03
12% (596 of 4703) |## | Elapsed Time: 0:00:50 ETA: 0:06:03
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12% (600 of 4703) |## | Elapsed Time: 0:00:51 ETA: 0:05:56
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12% (604 of 4703) |## | Elapsed Time: 0:00:51 ETA: 0:05:53
12% (606 of 4703) |## | Elapsed Time: 0:00:51 ETA: 0:05:49
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13% (616 of 4703) |## | Elapsed Time: 0:00:52 ETA: 0:05:46
13% (618 of 4703) |## | Elapsed Time: 0:00:52 ETA: 0:05:45
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13% (622 of 4703) |## | Elapsed Time: 0:00:52 ETA: 0:05:41
13% (624 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:41
13% (626 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:37
13% (628 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:36
13% (630 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:38
13% (632 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:41
13% (634 of 4703) |## | Elapsed Time: 0:00:53 ETA: 0:05:40
13% (636 of 4703) |## | Elapsed Time: 0:00:54 ETA: 0:05:40
13% (638 of 4703) |## | Elapsed Time: 0:00:54 ETA: 0:05:39
13% (640 of 4703) |## | Elapsed Time: 0:00:54 ETA: 0:05:39
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13% (644 of 4703) |## | Elapsed Time: 0:00:54 ETA: 0:05:39
13% (646 of 4703) |## | Elapsed Time: 0:00:54 ETA: 0:05:39
13% (648 of 4703) |## | Elapsed Time: 0:00:55 ETA: 0:05:38
13% (650 of 4703) |## | Elapsed Time: 0:00:55 ETA: 0:05:37
13% (652 of 4703) |## | Elapsed Time: 0:00:55 ETA: 0:05:37
13% (654 of 4703) |## | Elapsed Time: 0:00:55 ETA: 0:05:35
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13% (657 of 4703) |## | Elapsed Time: 0:00:55 ETA: 0:05:31
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14% (665 of 4703) |## | Elapsed Time: 0:00:56 ETA: 0:05:34
14% (667 of 4703) |## | Elapsed Time: 0:00:56 ETA: 0:05:35
14% (669 of 4703) |## | Elapsed Time: 0:00:56 ETA: 0:05:37
14% (671 of 4703) |## | Elapsed Time: 0:00:56 ETA: 0:05:38
14% (673 of 4703) |### | Elapsed Time: 0:00:57 ETA: 0:05:38
14% (675 of 4703) |### | Elapsed Time: 0:00:57 ETA: 0:05:40
14% (677 of 4703) |### | Elapsed Time: 0:00:57 ETA: 0:05:42
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14% (689 of 4703) |### | Elapsed Time: 0:00:58 ETA: 0:05:39
14% (691 of 4703) |### | Elapsed Time: 0:00:58 ETA: 0:05:43
14% (693 of 4703) |### | Elapsed Time: 0:00:58 ETA: 0:05:41
14% (695 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:39
14% (697 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:42
14% (699 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:41
14% (700 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:43
14% (702 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:40
14% (704 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:43
15% (706 of 4703) |### | Elapsed Time: 0:00:59 ETA: 0:05:41
15% (708 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:42
15% (710 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:43
15% (712 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:44
15% (713 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:49
15% (715 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:42
15% (717 of 4703) |### | Elapsed Time: 0:01:00 ETA: 0:05:42
15% (719 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:45
15% (721 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:43
15% (723 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:45
15% (725 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:42
15% (727 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:42
15% (729 of 4703) |### | Elapsed Time: 0:01:01 ETA: 0:05:38
15% (731 of 4703) |### | Elapsed Time: 0:01:02 ETA: 0:05:40
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15% (735 of 4703) |### | Elapsed Time: 0:01:02 ETA: 0:05:39
15% (737 of 4703) |### | Elapsed Time: 0:01:02 ETA: 0:05:35
15% (739 of 4703) |### | Elapsed Time: 0:01:02 ETA: 0:05:36
15% (741 of 4703) |### | Elapsed Time: 0:01:02 ETA: 0:05:35
15% (743 of 4703) |### | Elapsed Time: 0:01:03 ETA: 0:05:32
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15% (749 of 4703) |### | Elapsed Time: 0:01:03 ETA: 0:05:26
15% (751 of 4703) |### | Elapsed Time: 0:01:03 ETA: 0:05:25
16% (753 of 4703) |### | Elapsed Time: 0:01:03 ETA: 0:05:24
16% (755 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:25
16% (757 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:24
16% (759 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:24
16% (761 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:23
16% (763 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:22
16% (765 of 4703) |### | Elapsed Time: 0:01:04 ETA: 0:05:22
16% (767 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:23
16% (769 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:23
16% (771 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:25
16% (773 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:29
16% (774 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:29
16% (776 of 4703) |### | Elapsed Time: 0:01:05 ETA: 0:05:28
16% (778 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:30
16% (780 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:30
16% (782 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:28
16% (784 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:27
16% (786 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:27
16% (788 of 4703) |### | Elapsed Time: 0:01:06 ETA: 0:05:27
16% (790 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:25
16% (792 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:24
16% (794 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:23
16% (796 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:22
16% (798 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:19
16% (799 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:24
17% (801 of 4703) |### | Elapsed Time: 0:01:07 ETA: 0:05:25
17% (803 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:24
17% (805 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:23
17% (806 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:41
17% (808 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:41
17% (810 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:41
17% (812 of 4703) |### | Elapsed Time: 0:01:08 ETA: 0:05:42
17% (814 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:42
17% (816 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:42
17% (818 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:44
17% (820 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:44
17% (822 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:40
17% (824 of 4703) |### | Elapsed Time: 0:01:09 ETA: 0:05:39
17% (826 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:38
17% (828 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:37
17% (830 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:37
17% (832 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:21
17% (834 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:21
17% (836 of 4703) |### | Elapsed Time: 0:01:10 ETA: 0:05:21
17% (838 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:22
17% (840 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:23
17% (842 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:23
17% (844 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:21
17% (846 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:21
18% (848 of 4703) |### | Elapsed Time: 0:01:11 ETA: 0:05:22
18% (850 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:22
18% (852 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:23
18% (854 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:22
18% (856 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:23
18% (858 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:23
18% (860 of 4703) |### | Elapsed Time: 0:01:12 ETA: 0:05:23
18% (862 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:21
18% (864 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:21
18% (866 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:20
18% (868 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:20
18% (870 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:22
18% (872 of 4703) |### | Elapsed Time: 0:01:13 ETA: 0:05:23
18% (874 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:22
18% (876 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:22
18% (878 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:20
18% (879 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:23
18% (881 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:21
18% (883 of 4703) |### | Elapsed Time: 0:01:14 ETA: 0:05:23
18% (885 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:26
18% (887 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:26
18% (888 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:29
18% (890 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:32
18% (892 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:33
18% (893 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:33
19% (895 of 4703) |### | Elapsed Time: 0:01:15 ETA: 0:05:32
19% (897 of 4703) |#### | Elapsed Time: 0:01:16 ETA: 0:05:32
19% (899 of 4703) |#### | Elapsed Time: 0:01:16 ETA: 0:05:33
19% (901 of 4703) |#### | Elapsed Time: 0:01:16 ETA: 0:05:39
19% (903 of 4703) |#### | Elapsed Time: 0:01:16 ETA: 0:05:34
19% (905 of 4703) |#### | Elapsed Time: 0:01:16 ETA: 0:05:35
19% (907 of 4703) |#### | Elapsed Time: 0:01:17 ETA: 0:05:33
19% (909 of 4703) |#### | Elapsed Time: 0:01:17 ETA: 0:05:31
19% (911 of 4703) |#### | Elapsed Time: 0:01:17 ETA: 0:05:30
19% (913 of 4703) |#### | Elapsed Time: 0:01:17 ETA: 0:05:28
19% (915 of 4703) |#### | Elapsed Time: 0:01:17 ETA: 0:05:25
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19% (919 of 4703) |#### | Elapsed Time: 0:01:18 ETA: 0:05:23
19% (921 of 4703) |#### | Elapsed Time: 0:01:18 ETA: 0:05:25
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19% (927 of 4703) |#### | Elapsed Time: 0:01:18 ETA: 0:05:21
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20% (963 of 4703) |#### | Elapsed Time: 0:01:21 ETA: 0:05:28
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21% (989 of 4703) |#### | Elapsed Time: 0:01:24 ETA: 0:05:15
21% (991 of 4703) |#### | Elapsed Time: 0:01:24 ETA: 0:05:14
21% (993 of 4703) |#### | Elapsed Time: 0:01:24 ETA: 0:05:15
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21% (997 of 4703) |#### | Elapsed Time: 0:01:24 ETA: 0:05:14
21% (999 of 4703) |#### | Elapsed Time: 0:01:24 ETA: 0:05:15
21% (1001 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:16
21% (1003 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:15
21% (1005 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:15
21% (1007 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:15
21% (1009 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:14
21% (1011 of 4703) |#### | Elapsed Time: 0:01:25 ETA: 0:05:14
21% (1013 of 4703) |#### | Elapsed Time: 0:01:26 ETA: 0:05:15
21% (1015 of 4703) |#### | Elapsed Time: 0:01:26 ETA: 0:05:15
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21% (1019 of 4703) |#### | Elapsed Time: 0:01:26 ETA: 0:05:13
21% (1021 of 4703) |#### | Elapsed Time: 0:01:26 ETA: 0:05:09
21% (1023 of 4703) |#### | Elapsed Time: 0:01:26 ETA: 0:05:09
21% (1025 of 4703) |#### | Elapsed Time: 0:01:27 ETA: 0:05:09
21% (1027 of 4703) |#### | Elapsed Time: 0:01:27 ETA: 0:05:11
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21% (1031 of 4703) |#### | Elapsed Time: 0:01:27 ETA: 0:05:11
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22% (1035 of 4703) |#### | Elapsed Time: 0:01:28 ETA: 0:05:10
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22% (1041 of 4703) |#### | Elapsed Time: 0:01:28 ETA: 0:05:16
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22% (1047 of 4703) |#### | Elapsed Time: 0:01:29 ETA: 0:05:16
22% (1049 of 4703) |#### | Elapsed Time: 0:01:29 ETA: 0:05:15
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22% (1055 of 4703) |#### | Elapsed Time: 0:01:29 ETA: 0:05:13
22% (1057 of 4703) |#### | Elapsed Time: 0:01:29 ETA: 0:05:11
22% (1059 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:11
22% (1061 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:07
22% (1063 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:07
22% (1065 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:07
22% (1067 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:03
22% (1069 of 4703) |#### | Elapsed Time: 0:01:30 ETA: 0:05:04
22% (1071 of 4703) |#### | Elapsed Time: 0:01:31 ETA: 0:05:05
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23% (1107 of 4703) |#### | Elapsed Time: 0:01:34 ETA: 0:05:09
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25% (1205 of 4703) |##### | Elapsed Time: 0:01:42 ETA: 0:04:53
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25% (1209 of 4703) |##### | Elapsed Time: 0:01:42 ETA: 0:04:51
25% (1211 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:51
25% (1213 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:50
25% (1215 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:47
25% (1217 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:47
25% (1219 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:48
25% (1221 of 4703) |##### | Elapsed Time: 0:01:43 ETA: 0:04:47
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26% (1235 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:47
26% (1237 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:47
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26% (1241 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:47
26% (1243 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:46
26% (1245 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:45
26% (1247 of 4703) |##### | Elapsed Time: 0:01:45 ETA: 0:04:45
26% (1249 of 4703) |##### | Elapsed Time: 0:01:46 ETA: 0:04:44
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27% (1270 of 4703) |##### | Elapsed Time: 0:01:47 ETA: 0:04:49
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27% (1274 of 4703) |##### | Elapsed Time: 0:01:48 ETA: 0:04:50
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27% (1284 of 4703) |##### | Elapsed Time: 0:01:49 ETA: 0:04:51
27% (1286 of 4703) |##### | Elapsed Time: 0:01:49 ETA: 0:04:50
27% (1287 of 4703) |##### | Elapsed Time: 0:01:49 ETA: 0:04:52
27% (1289 of 4703) |##### | Elapsed Time: 0:01:49 ETA: 0:04:55
27% (1291 of 4703) |##### | Elapsed Time: 0:01:49 ETA: 0:04:55
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27% (1295 of 4703) |##### | Elapsed Time: 0:01:50 ETA: 0:04:51
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27% (1299 of 4703) |##### | Elapsed Time: 0:01:50 ETA: 0:04:51
27% (1301 of 4703) |##### | Elapsed Time: 0:01:50 ETA: 0:04:51
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27% (1305 of 4703) |##### | Elapsed Time: 0:01:50 ETA: 0:04:52
27% (1307 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:53
27% (1309 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:53
27% (1310 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:53
27% (1312 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:52
27% (1314 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:49
27% (1316 of 4703) |##### | Elapsed Time: 0:01:51 ETA: 0:04:49
28% (1318 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:48
28% (1320 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:48
28% (1322 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:50
28% (1324 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:50
28% (1326 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:49
28% (1328 of 4703) |##### | Elapsed Time: 0:01:52 ETA: 0:04:49
28% (1330 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:50
28% (1332 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:47
28% (1334 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:48
28% (1336 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:46
28% (1338 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:45
28% (1340 of 4703) |##### | Elapsed Time: 0:01:53 ETA: 0:04:45
28% (1342 of 4703) |##### | Elapsed Time: 0:01:54 ETA: 0:04:46
28% (1344 of 4703) |##### | Elapsed Time: 0:01:54 ETA: 0:04:47
28% (1346 of 4703) |##### | Elapsed Time: 0:01:54 ETA: 0:04:46
28% (1348 of 4703) |##### | Elapsed Time: 0:01:54 ETA: 0:04:45
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28% (1352 of 4703) |##### | Elapsed Time: 0:01:54 ETA: 0:04:44
28% (1354 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:44
28% (1356 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:44
28% (1358 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:42
28% (1360 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:47
28% (1362 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:48
29% (1364 of 4703) |##### | Elapsed Time: 0:01:55 ETA: 0:04:48
29% (1366 of 4703) |##### | Elapsed Time: 0:01:56 ETA: 0:04:46
29% (1368 of 4703) |##### | Elapsed Time: 0:01:56 ETA: 0:04:48
29% (1370 of 4703) |##### | Elapsed Time: 0:01:56 ETA: 0:04:50
29% (1372 of 4703) |##### | Elapsed Time: 0:01:56 ETA: 0:04:49
29% (1374 of 4703) |##### | Elapsed Time: 0:01:56 ETA: 0:04:50
29% (1376 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:48
29% (1378 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:47
29% (1380 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:47
29% (1382 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:47
29% (1384 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:43
29% (1386 of 4703) |##### | Elapsed Time: 0:01:57 ETA: 0:04:42
29% (1388 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:41
29% (1390 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:39
29% (1392 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:37
29% (1394 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:37
29% (1396 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:35
29% (1398 of 4703) |##### | Elapsed Time: 0:01:58 ETA: 0:04:35
29% (1400 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:37
29% (1402 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:37
29% (1404 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:38
29% (1406 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:39
29% (1408 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:41
29% (1410 of 4703) |##### | Elapsed Time: 0:01:59 ETA: 0:04:42
30% (1412 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:42
30% (1414 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:42
30% (1416 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:42
30% (1418 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:41
30% (1420 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:40
30% (1422 of 4703) |###### | Elapsed Time: 0:02:00 ETA: 0:04:40
30% (1424 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:39
30% (1426 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:40
30% (1428 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:41
30% (1429 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:41
30% (1431 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:39
30% (1433 of 4703) |###### | Elapsed Time: 0:02:01 ETA: 0:04:37
30% (1435 of 4703) |###### | Elapsed Time: 0:02:02 ETA: 0:04:40
30% (1437 of 4703) |###### | Elapsed Time: 0:02:02 ETA: 0:04:40
30% (1439 of 4703) |###### | Elapsed Time: 0:02:02 ETA: 0:04:41
30% (1441 of 4703) |###### | Elapsed Time: 0:02:02 ETA: 0:04:40
30% (1443 of 4703) |###### | Elapsed Time: 0:02:02 ETA: 0:04:41
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30% (1447 of 4703) |###### | Elapsed Time: 0:02:03 ETA: 0:04:40
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30% (1451 of 4703) |###### | Elapsed Time: 0:02:03 ETA: 0:04:40
30% (1453 of 4703) |###### | Elapsed Time: 0:02:03 ETA: 0:04:38
30% (1455 of 4703) |###### | Elapsed Time: 0:02:03 ETA: 0:04:36
30% (1457 of 4703) |###### | Elapsed Time: 0:02:03 ETA: 0:04:37
31% (1458 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:39
31% (1459 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:39
31% (1461 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:37
31% (1463 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:38
31% (1465 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:39
31% (1467 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:40
31% (1468 of 4703) |###### | Elapsed Time: 0:02:04 ETA: 0:04:43
31% (1469 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:44
31% (1471 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:44
31% (1473 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:42
31% (1475 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:40
31% (1477 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:40
31% (1479 of 4703) |###### | Elapsed Time: 0:02:05 ETA: 0:04:41
31% (1481 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:42
31% (1483 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:38
31% (1485 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:40
31% (1487 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:39
31% (1489 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:37
31% (1491 of 4703) |###### | Elapsed Time: 0:02:06 ETA: 0:04:36
31% (1493 of 4703) |###### | Elapsed Time: 0:02:07 ETA: 0:04:31
31% (1495 of 4703) |###### | Elapsed Time: 0:02:07 ETA: 0:04:31
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31% (1499 of 4703) |###### | Elapsed Time: 0:02:07 ETA: 0:04:33
31% (1501 of 4703) |###### | Elapsed Time: 0:02:07 ETA: 0:04:33
31% (1503 of 4703) |###### | Elapsed Time: 0:02:07 ETA: 0:04:32
32% (1505 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:31
32% (1507 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:28
32% (1509 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:26
32% (1511 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:25
32% (1513 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:25
32% (1515 of 4703) |###### | Elapsed Time: 0:02:08 ETA: 0:04:25
32% (1517 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:25
32% (1519 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:25
32% (1521 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:26
32% (1522 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:29
32% (1524 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:28
32% (1526 of 4703) |###### | Elapsed Time: 0:02:09 ETA: 0:04:28
32% (1528 of 4703) |###### | Elapsed Time: 0:02:10 ETA: 0:04:29
32% (1530 of 4703) |###### | Elapsed Time: 0:02:10 ETA: 0:04:31
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32% (1534 of 4703) |###### | Elapsed Time: 0:02:10 ETA: 0:04:31
32% (1536 of 4703) |###### | Elapsed Time: 0:02:10 ETA: 0:04:32
32% (1538 of 4703) |###### | Elapsed Time: 0:02:10 ETA: 0:04:32
32% (1540 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:31
32% (1542 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:32
32% (1544 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:32
32% (1546 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:28
32% (1548 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:26
32% (1550 of 4703) |###### | Elapsed Time: 0:02:11 ETA: 0:04:26
33% (1552 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:25
33% (1554 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:24
33% (1556 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:22
33% (1558 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:21
33% (1560 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:20
33% (1562 of 4703) |###### | Elapsed Time: 0:02:12 ETA: 0:04:21
33% (1564 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:21
33% (1566 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:21
33% (1568 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:20
33% (1570 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:21
33% (1571 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:22
33% (1573 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:23
33% (1575 of 4703) |###### | Elapsed Time: 0:02:13 ETA: 0:04:23
33% (1577 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:23
33% (1579 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:24
33% (1581 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:24
33% (1583 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:24
33% (1585 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:23
33% (1587 of 4703) |###### | Elapsed Time: 0:02:14 ETA: 0:04:22
33% (1589 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:21
33% (1591 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:20
33% (1593 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:20
33% (1595 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:18
33% (1597 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:15
33% (1599 of 4703) |###### | Elapsed Time: 0:02:15 ETA: 0:04:15
34% (1601 of 4703) |###### | Elapsed Time: 0:02:16 ETA: 0:04:14
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34% (1607 of 4703) |###### | Elapsed Time: 0:02:16 ETA: 0:04:12
34% (1608 of 4703) |###### | Elapsed Time: 0:02:16 ETA: 0:04:12
34% (1610 of 4703) |###### | Elapsed Time: 0:02:16 ETA: 0:04:13
34% (1612 of 4703) |###### | Elapsed Time: 0:02:17 ETA: 0:04:12
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34% (1638 of 4703) |###### | Elapsed Time: 0:02:19 ETA: 0:04:12
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34% (1645 of 4703) |###### | Elapsed Time: 0:02:19 ETA: 0:04:14
35% (1647 of 4703) |####### | Elapsed Time: 0:02:19 ETA: 0:04:15
35% (1649 of 4703) |####### | Elapsed Time: 0:02:20 ETA: 0:04:15
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35% (1655 of 4703) |####### | Elapsed Time: 0:02:20 ETA: 0:04:18
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35% (1667 of 4703) |####### | Elapsed Time: 0:02:21 ETA: 0:04:18
35% (1669 of 4703) |####### | Elapsed Time: 0:02:21 ETA: 0:04:17
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35% (1673 of 4703) |####### | Elapsed Time: 0:02:22 ETA: 0:04:17
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35% (1685 of 4703) |####### | Elapsed Time: 0:02:23 ETA: 0:04:13
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35% (1689 of 4703) |####### | Elapsed Time: 0:02:23 ETA: 0:04:15
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36% (1695 of 4703) |####### | Elapsed Time: 0:02:24 ETA: 0:04:21
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36% (1699 of 4703) |####### | Elapsed Time: 0:02:24 ETA: 0:04:21
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36% (1707 of 4703) |####### | Elapsed Time: 0:02:25 ETA: 0:04:22
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36% (1713 of 4703) |####### | Elapsed Time: 0:02:25 ETA: 0:04:20
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Data loaded 7s
Output cleaning...
fix uniq
ffill if the current price is None...
Check liquidity...
WARNING! Strategy trades non-liquid assets.
Fix liquidity...
Ok.
Check missed dates...
Ok.
Normalization...
Output cleaning is complete.
Write result...
Write output: /root/fractions.nc.gz
State saved.
---
Analyze results...
Check...
Check liquidity...
Ok.
Check missed dates...
Ok.
Check the sharpe ratio...
Period: 2006-01-01 - 2024-09-10
Sharpe Ratio = 0.7808624707295442
Ok.
---
Align...
Calc global stats...
---
Calc stats per asset...
Build plots... ---
Output:
| asset | NAS:AAL | NAS:AAPL | NAS:ABNB | NAS:ADBE | NAS:ADI | NAS:ADP | NAS:ADSK | NAS:AEP | NAS:AKAM | NAS:ALGN |
|---|---|---|---|---|---|---|---|---|---|---|
| time | ||||||||||
| 2024-08-27 | 0.0 | 0.002998 | 0.038203 | 0.048085 | 0.004220 | 0.0 | 0.051345 | 0.0 | 0.0 | 0.0 |
| 2024-08-28 | 0.0 | 0.002786 | 0.035512 | 0.044698 | 0.003923 | 0.0 | 0.047728 | 0.0 | 0.0 | 0.0 |
| 2024-08-29 | 0.0 | 0.002786 | 0.035512 | 0.044698 | 0.003923 | 0.0 | 0.047728 | 0.0 | 0.0 | 0.0 |
| 2024-08-30 | 0.0 | 0.002793 | 0.035592 | 0.044798 | 0.003931 | 0.0 | 0.047836 | 0.0 | 0.0 | 0.0 |
| 2024-09-03 | 0.0 | 0.002793 | 0.035592 | 0.044798 | 0.003931 | 0.0 | 0.047836 | 0.0 | 0.0 | 0.0 |
| 2024-09-04 | 0.0 | 0.002778 | 0.035404 | 0.044562 | 0.003911 | 0.0 | 0.047583 | 0.0 | 0.0 | 0.0 |
| 2024-09-05 | 0.0 | 0.002778 | 0.035404 | 0.044562 | 0.003911 | 0.0 | 0.047583 | 0.0 | 0.0 | 0.0 |
| 2024-09-06 | 0.0 | 0.002778 | 0.035404 | 0.044562 | 0.003911 | 0.0 | 0.047583 | 0.0 | 0.0 | 0.0 |
| 2024-09-09 | 0.0 | 0.002778 | 0.035404 | 0.044562 | 0.003911 | 0.0 | 0.047583 | 0.0 | 0.0 | 0.0 |
| 2024-09-10 | 0.0 | 0.002792 | 0.035580 | 0.044783 | 0.003930 | 0.0 | 0.047820 | 0.0 | 0.0 | 0.0 |
Stats:
| field | equity | relative_return | volatility | underwater | max_drawdown | sharpe_ratio | mean_return | bias | instruments | avg_turnover | avg_holding_time |
|---|---|---|---|---|---|---|---|---|---|---|---|
| time | |||||||||||
| 2024-08-27 | 12.708354 | 0.001172 | 0.184909 | -0.022284 | -0.530316 | 0.790848 | 0.146235 | 1.0 | 229.0 | 0.072677 | 31.069607 |
| 2024-08-28 | 12.641652 | -0.005249 | 0.184894 | -0.027416 | -0.530316 | 0.788980 | 0.145878 | 1.0 | 229.0 | 0.072702 | 31.074092 |
| 2024-08-29 | 12.643491 | 0.000145 | 0.184875 | -0.027275 | -0.530316 | 0.788932 | 0.145854 | 1.0 | 229.0 | 0.072717 | 31.076326 |
| 2024-08-30 | 12.672554 | 0.002299 | 0.184855 | -0.025039 | -0.530316 | 0.789598 | 0.145962 | 1.0 | 229.0 | 0.072703 | 31.076326 |
| 2024-09-03 | 12.580077 | -0.007297 | 0.184845 | -0.032153 | -0.530316 | 0.787029 | 0.145478 | 1.0 | 229.0 | 0.072690 | 31.076126 |
| 2024-09-04 | 12.449447 | -0.010384 | 0.184843 | -0.042203 | -0.530316 | 0.783391 | 0.144804 | 1.0 | 229.0 | 0.072680 | 31.076126 |
| 2024-09-05 | 12.455293 | 0.000470 | 0.184823 | -0.041753 | -0.530316 | 0.783452 | 0.144800 | 1.0 | 229.0 | 0.072669 | 31.076344 |
| 2024-09-06 | 12.277475 | -0.014277 | 0.184835 | -0.055434 | -0.530316 | 0.778449 | 0.143885 | 1.0 | 229.0 | 0.072657 | 31.076344 |
| 2024-09-09 | 12.357533 | 0.006521 | 0.184821 | -0.049275 | -0.530316 | 0.780490 | 0.144251 | 1.0 | 229.0 | 0.072646 | 31.076344 |
| 2024-09-10 | 12.374965 | 0.001411 | 0.184801 | -0.047934 | -0.530316 | 0.780862 | 0.144304 | 1.0 | 229.0 | 0.072632 | 31.135909 |
---