158 lines
4.3 KiB
JSON
158 lines
4.3 KiB
JSON
{
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python Debugger: Current File",
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"type": "debugpy",
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"request": "launch",
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// "program": "realtime.py",
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"program": "${file}",
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"console": "integratedTerminal"
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},
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{
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"name": "Train Bot",
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"type": "python",
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"request": "launch",
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"program": "main.py",
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"args": [
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"--mode",
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"train",
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"--episodes",
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"100"
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],
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"console": "integratedTerminal",
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"justMyCode": true
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},
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{
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"name": "Evaluate Bot",
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"type": "python",
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"request": "launch",
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"program": "main.py",
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"args": [
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"--mode",
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"eval",
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"--episodes",
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"10"
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],
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"console": "integratedTerminal",
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"justMyCode": true
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},
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{
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"name": "Live Trading (Demo)",
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"type": "python",
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"request": "launch",
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"program": "main.py",
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"args": [
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"--mode",
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"live",
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"--demo",
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"true",
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"--symbol",
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"ETH/USDT",
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"--timeframe",
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"1m"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"env": {
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"PYTHONUNBUFFERED": "1"
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}
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},
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{
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"name": "Live Trading (Real)",
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"type": "python",
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"request": "launch",
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"program": "main.py",
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"args": [
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"--mode",
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"live",
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"--demo",
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"false",
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"--symbol",
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"ETH/USDT",
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"--timeframe",
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"1m",
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"--leverage",
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"50"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"env": {
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"PYTHONUNBUFFERED": "1"
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}
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},
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{
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"name": "Live Trading (BTC Futures)",
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"type": "python",
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"request": "launch",
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"program": "main.py",
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"args": [
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"--mode",
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"live",
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"--demo",
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"false",
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"--symbol",
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"BTC/USDT",
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"--timeframe",
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"5m",
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"--leverage",
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"20"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"env": {
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"PYTHONUNBUFFERED": "1"
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}
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},
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{
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"name": "NN Training Pipeline",
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"type": "python",
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"request": "launch",
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"module": "NN.realtime_main",
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"args": [
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"--mode",
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"train",
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"--model-type",
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"cnn",
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"--framework",
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"pytorch",
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"--symbol",
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"BTC/USDT",
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"--timeframes",
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"1m", "5m", "1h", "4h",
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"--epochs",
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"10",
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"--batch-size",
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"32",
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"--window-size",
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"20",
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"--output-size",
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"3"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"env": {
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"PYTHONUNBUFFERED": "1",
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"TF_CPP_MIN_LOG_LEVEL": "2"
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},
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"pythonArgs": ["-c", "import sys; sys.path.append('f:/projects/gogo2')"],
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"postDebugTask": "Start TensorBoard"
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},
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{
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"name": "Realtime Charts with NN Inference",
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"type": "python",
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"request": "launch",
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"program": "realtime.py",
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"console": "integratedTerminal",
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"justMyCode": true,
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"env": {
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"PYTHONUNBUFFERED": "1",
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"ENABLE_NN_MODELS": "1",
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"NN_INFERENCE_INTERVAL": "60",
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"NN_MODEL_TYPE": "cnn",
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"NN_TIMEFRAME": "1h"
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}
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}
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]
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}
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