suggestions

This commit is contained in:
Dobromir Popov 2025-02-12 01:38:05 +02:00
parent 33a5588539
commit c8b0f77d32
10 changed files with 109 additions and 10 deletions

31
crypto/gogo/.vscode/launch.json vendored Normal file
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@ -0,0 +1,31 @@
{
"version": "0.2.0",
"configurations": [
{
"name": "Train (Live Data)",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/main.py",
"console": "integratedTerminal",
"justMyCode": false,
"args": ["--mode", "train"]
},
{
"name": "Backtest (Historical Data)",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/main.py",
"console": "integratedTerminal",
"justMyCode": false,
"args": ["--mode", "backtest"]
},
{
"name": "Unit Tests",
"type": "python",
"request": "launch",
"program": "${workspaceFolder}/tests/test_data.py",
"console": "integratedTerminal",
"justMyCode": false
}
]
}

11
crypto/gogo/.vscode/settings.json vendored Normal file
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{
"python.testing.unittestArgs": [
"-v",
"-s",
"./tests",
"-p",
"test_*.py"
],
"python.testing.pytestEnabled": false,
"python.testing.unittestEnabled": true
}

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{"1m": [], "5m": [], "15m": [], "1h": [], "1d": []}

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@ -1,5 +1,3 @@
# main.py
import asyncio import asyncio
import torch import torch
import torch.nn as nn import torch.nn as nn
@ -17,8 +15,9 @@ from model.trading_model import TradingModel
from training.rl_agent import ContinuousRLAgent, ReplayBuffer from training.rl_agent import ContinuousRLAgent, ReplayBuffer
from training.train_historical import train_on_historical_data, load_best_checkpoint, save_candles_cache, CACHE_FILE, BEST_DIR from training.train_historical import train_on_historical_data, load_best_checkpoint, save_candles_cache, CACHE_FILE, BEST_DIR
from data.data_utils import get_aligned_candle_with_index, get_features_for_tf from data.data_utils import get_aligned_candle_with_index, get_features_for_tf
import argparse
async def main(): async def main_training():
symbol = 'BTC/USDT' symbol = 'BTC/USDT'
data_manager = LiveDataManager(symbol) data_manager = LiveDataManager(symbol)
@ -293,4 +292,11 @@ def plot_trade_history(candles, trade_history):
plt.show() plt.show()
if __name__ == '__main__': if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Trading Bot Modes')
parser.add_argument('--mode', type=str, default='backtest', choices=['train', 'backtest'], help='Choose mode: train or backtest')
args = parser.parse_args()
if args.mode == 'train':
asyncio.run(main_training())
elif args.mode == 'backtest':
asyncio.run(main_backtest()) asyncio.run(main_backtest())

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@ -1,4 +1,3 @@
To run this code: To run this code:
Install Dependencies: pip install -r requirements.txt Install Dependencies: pip install -r requirements.txt

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import asyncio
import unittest
from unittest.mock import patch, AsyncMock
from data.live_data import LiveDataManager
import ccxt.async_support as ccxt
class TestLiveData(unittest.IsolatedAsyncioTestCase):
async def asyncSetUp(self):
self.symbol = 'BTC/USDT'
self.data_manager = LiveDataManager(self.symbol)
self.exchange = self.data_manager.exchange
async def asyncTearDown(self):
await self.data_manager.close()
@patch('data.live_data.ccxt.mexc.fetch_trades', new_callable=AsyncMock)
async def test_fetch_and_process_ticks(self, mock_fetch_trades):
# Mock the exchange response
mock_fetch_trades.return_value = [
{'timestamp': 1678886400000, 'symbol': 'BTC/USDT', 'price': 25000.0, 'quantity': 1.0},
{'timestamp': 1678886460000, 'symbol': 'BTC/USDT', 'price': 25050.0, 'quantity': 0.5}
]
# Call the method
await self.data_manager.fetch_and_process_ticks()
# Assert that the ticks are processed
candles, ticks = await self.data_manager.get_data()
self.assertEqual(len(ticks), 2)
self.assertEqual(len(candles), 1)
@patch('data.live_data.ccxt.mexc.fetch_ohlcv', new_callable=AsyncMock)
async def test_fetch_initial_candles(self, mock_fetch_ohlcv):
# Mock the exchange response
mock_fetch_ohlcv.return_value = [
[1678886400000, 25000.0, 25050.0, 24950.0, 25025.0, 100.0],
[1678886460000, 25025.0, 25100.0, 25000.0, 25075.0, 120.0]
]
# Call the method
await self.data_manager._fetch_initial_candles()
# Assert that the candles are fetched and formatted
candles, _ = await self.data_manager.get_data()
self.assertEqual(len(candles), 2)
self.assertEqual(candles[0]['open'], 25000.0)
self.assertEqual(candles[0]['close'], 25025.0)
if __name__ == '__main__':
unittest.main()