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Merge pull request #200 from glonlas/fix_fees_calculation

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Fix the fee calculation
This commit is contained in:
Janne Sinivirta
2017-12-22 13:55:02 +02:00
committed by GitHub
parent ff186c7f65 d258118b0a
commit f300af0fe2
10 changed files with 382 additions and 92 deletions
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27
freqtrade/optimize/backtesting.py
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@@ -48,8 +48,8 @@ def generate_text_table(
tabular_data.append([
pair,
len(result.index),
'{:.2f}%'.format(result.profit.mean() * 100.0),
'{:.08f} {}'.format(result.profit.sum(), stake_currency),
'{:.2f}%'.format(result.profit_percent.mean() * 100.0),
'{:.08f} {}'.format(result.profit_BTC.sum(), stake_currency),
'{:.2f}'.format(result.duration.mean() * ticker_interval),
])
@@ -57,8 +57,8 @@ def generate_text_table(
tabular_data.append([
'TOTAL',
len(results.index),
'{:.2f}%'.format(results.profit.mean() * 100.0),
'{:.08f} {}'.format(results.profit.sum(), stake_currency),
'{:.2f}%'.format(results.profit_percent.mean() * 100.0),
'{:.08f} {}'.format(results.profit_BTC.sum(), stake_currency),
'{:.2f}'.format(results.duration.mean() * ticker_interval),
])
return tabulate(tabular_data, headers=headers)
@@ -98,8 +98,9 @@ def backtest(config: Dict, processed: Dict[str, DataFrame],
trade = Trade(
open_rate=row.close,
open_date=row.date,
amount=config['stake_amount'],
fee=exchange.get_fee() * 2
stake_amount=config['stake_amount'],
amount=config['stake_amount'] / row.open,
fee=exchange.get_fee()
)
# calculate win/lose forwards from buy point
@@ -109,12 +110,20 @@ def backtest(config: Dict, processed: Dict[str, DataFrame],
trade_count_lock[row2.date] = trade_count_lock.get(row2.date, 0) + 1
if min_roi_reached(trade, row2.close, row2.date) or row2.sell == 1:
current_profit = trade.calc_profit(row2.close)
current_profit_percent = trade.calc_profit_percent(rate=row2.close)
current_profit_BTC = trade.calc_profit(rate=row2.close)
lock_pair_until = row2.Index
trades.append((pair, current_profit, row2.Index - row.Index))
trades.append(
(
pair,
current_profit_percent,
current_profit_BTC,
row2.Index - row.Index
)
)
break
labels = ['currency', 'profit', 'duration']
labels = ['currency', 'profit_percent', 'profit_BTC', 'duration']
return DataFrame.from_records(trades, columns=labels)

8
freqtrade/optimize/hyperopt.py
View File

@@ -121,7 +121,7 @@ def optimizer(params):
result = format_results(results)
total_profit = results.profit.sum() * 1000
total_profit = results.profit_percent.sum() * 1000
trade_count = len(results.index)
trade_loss = 1 - 0.35 * exp(-(trade_count - TARGET_TRADES) ** 2 / 10 ** 5.2)
@@ -134,7 +134,7 @@ def optimizer(params):
'total_profit': total_profit,
'trade_loss': trade_loss,
'profit_loss': profit_loss,
'avg_profit': results.profit.mean() * 100.0,
'avg_profit': results.profit_percent.mean() * 100.0,
'avg_duration': results.duration.mean() * 5,
'current_tries': _CURRENT_TRIES,
'total_tries': TOTAL_TRIES,
@@ -156,8 +156,8 @@ def format_results(results: DataFrame):
return ('Made {:6d} buys. Average profit {: 5.2f}%. '
'Total profit was {: 7.3f}. Average duration {:5.1f} mins.').format(
len(results.index),
results.profit.mean() * 100.0,
results.profit.sum(),
results.profit_percent.mean() * 100.0,
results.profit_BTC.sum(),
results.duration.mean() * 5,
)