Commit Graph

1182 Commits

Author SHA1 Message Date
Matthias bdbac37be7
Merge pull request #5399 from rokups/rk/fix-buy-tag-backtest
Fix buy_tag not being saved to trade object.
2021-08-12 06:36:33 +02:00
Rokas Kupstys f6267c7514 Fix buy_tag not being saved to trade object.
Column is mistakenly excluded because advise_buy() creating this column runs after code detecting presence of buy_tag column.
2021-08-11 15:21:23 +03:00
ipqhjjybj 65d025923d add code 2021-08-11 14:35:16 +08:00
Matthias 0b6aedbc4c
Merge pull request #5395 from freqtrade/fix/hyperopt-show
Stream hyperopt-result in small batches
2021-08-10 19:54:02 +02:00
Matthias 039d6384ed Stream hyperopt-result in small batches
Avoiding memory-exhaustion on huge hyperopt results

closes #5305
closes #5149
2021-08-10 10:12:57 +02:00
Matthias 3f160c7144 Cache dataframe before cutting the first candle
This allows providing the "current closed" candle in all cases.
2021-08-10 09:14:29 +02:00
Matthias 5bfb9edf02 Only query date once from list 2021-08-09 15:42:17 +02:00
Matthias 895b912c71 Fix recently introduced lookahead bias in backtesting
closes #5388
2021-08-09 14:54:47 +02:00
Matthias a5f796bc97 refactor ohlcvdata_to_dataframe to advise_all_indicators 2021-08-09 14:53:18 +02:00
Matthias f17942b68f Fix random test failure 2021-08-09 11:18:18 +02:00
Matthias 47f641d12f Remove hyperopt-pickle result support 2021-08-09 07:04:18 +02:00
Matthias 3bd0c3d009 Remove legacy code from export to csv 2021-08-08 11:02:54 +02:00
Matthias faf16a64e5 Remove legacy hyperopt file support 2021-08-08 10:22:45 +02:00
Matthias 0ae4eccea5 Refactor Hyperopt-list and hyperopt-show to reduce some duplicate code 2021-08-08 10:06:35 +02:00
Matthias 6532aba765
Merge pull request #5360 from freqtrade/hyperopt_protections
Hyperopt protections and Boolean parameter
2021-08-07 09:42:05 +02:00
Sam Germain b9356a5564 Autopep8 formatting 2021-08-06 16:35:39 -06:00
Matthias a6454cfc39 Autoenable protections when protection-space is selected 2021-08-04 07:17:29 +02:00
Matthias 091bf7c4d2 Output protection space 2021-08-04 06:50:14 +02:00
Matthias 544e0da6c2 Add protection parameter space 2021-08-04 06:50:14 +02:00
Matthias 800b2eeaf0 Load protections as part of backtest()
this enables different values in hyperopt per epoch
2021-08-04 06:50:14 +02:00
Matthias dfc17f2bd1 Fix ci failure 2021-08-03 07:21:11 +02:00
Matthias 4ab03f7e37 Don't load fallback methods for autohyperopt 2021-08-02 21:17:56 +02:00
Matthias e70a742005 Reorder space methods in hyperopt 2021-08-02 21:12:10 +02:00
Matthias 056bc93bc6 backtesting needs startup_candle_count
fixes informative-pair loading  being different between --strategy-list and
--strategy.
2021-08-01 19:17:52 +02:00
Matthias 1ccc89d1e9 Store fully analyzed dataframe 2021-07-31 10:00:24 +02:00
Matthias b1cbc75e93 Properly cache pair dataframe in backtesting (without startup-range). 2021-07-31 08:45:04 +02:00
Matthias 138b126d03
Merge pull request #5299 from kevinjulian/feat/kevinjulian/add-buy-signal-name
Add buy signal name
2021-07-30 08:23:11 +02:00
kevinjulian aea5da0c73 changes testcase 2021-07-23 11:42:43 +07:00
kevinjulian f5a660f845 caps BUY_TAG_IDX 2021-07-21 20:19:56 +07:00
kevinjulian 49886874aa rename to buy_tag 2021-07-21 20:05:35 +07:00
kevinjulian 5d04d6ffa7 fix edge testcase 2021-07-20 23:40:32 +07:00
kevinjulian cbfedf8b29 fix backtest testcase 2021-07-20 23:25:00 +07:00
Kevin Julian edf9c08f06
Merge branch 'develop' into feat/kevinjulian/add-buy-signal-name 2021-07-20 19:19:46 +07:00
kevinjulian ed30c023cd fix some testcase 2021-07-20 19:08:14 +07:00
kevinjulian 9e63bdbac9 feat: add buy signal name 2021-07-20 04:58:20 +07:00
Matthias 365479f5e0 Remove startup-candles after populating buy/sell signals
closes #5242
2021-07-18 11:06:41 +02:00
Matthias 7b7d9c02d7
Merge pull request #5243 from freqtrade/feat/webservermode_progress
Introduce webserver mode subcommand
2021-07-18 10:48:55 +02:00
Matthias 38296e8689
Merge pull request #5189 from rokups/rk/custom-stake
Implement strategy-controlled stake sizes
2021-07-11 19:45:43 +02:00
Matthias 7ea0a74c53 Default to proposed stake 2021-07-11 14:11:41 +02:00
Rokas Kupstys 0e4466ca1e Implement strategy-controlled stake sizes. Expose `self.wallet` to a strategy. 2021-07-11 12:38:58 +03:00
Matthias ad26b0dad0 Don't void backtest object when not necessary 2021-07-10 10:59:00 +02:00
Matthias 6129c5ca9e Fix deprecation warnings from pandas 1.3.0
closes #5251
2021-07-09 20:46:38 +02:00
Matthias 2f33b97b95 Validate startup candles for backtesting correctly
closes #5250
2021-07-09 07:20:43 +02:00
octaviusgus d1104bd434 fix daily profit data and daily profit curve example 2021-07-06 22:47:39 +02:00
Matthias 005da97183 extract backtesting abort functionality 2021-07-06 19:48:28 +02:00
Matthias 830b2548bc Add backtest stopping 2021-07-06 19:48:28 +02:00
Matthias 134c61126e Properly track bt progress ... 2021-07-06 19:48:28 +02:00
Matthias 048008756f Add progress tracking for backtesting 2021-07-06 19:48:28 +02:00
Matthias 800e314bfd Store backtesting results in backtest instance 2021-07-06 19:48:28 +02:00
octaviusgus 4aa2ae37bd
add daily_profit_list
added extra key daily_profit in return of optimize_reports.generate_daily_stats
this allows us to analyze and plot a daily profit chart / equity line using snippet below inside jupyter notebook

```
# Plotting equity line (starting with 0 on day 1 and adding daily profit for each backtested day)

from freqtrade.configuration import Configuration
from freqtrade.data.btanalysis import load_backtest_data, load_backtest_stats
import plotly.express as px
import pandas as pd

# strategy = 'Strat'
# config = Configuration.from_files(["user_data/config.json"])
# backtest_dir = config["user_data_dir"] / "backtest_results"

stats = load_backtest_stats(backtest_dir)
strategy_stats = stats['strategy'][strategy]

equity = 0
equity_daily = []
for dp in strategy_stats['daily_profit']:
    equity_daily.append(equity)
    equity += float(dp)

dates = pd.date_range(strategy_stats['backtest_start'], strategy_stats['backtest_end'])

df = pd.DataFrame({'dates':dates,'equity_daily':equity_daily})

fig = px.line(df, x="dates", y="equity_daily")
fig.show()

```
2021-07-04 14:38:17 +02:00