cash works again!
This commit is contained in:
Dobromir Popov
380
.vscode/launch.json
vendored
380
.vscode/launch.json
vendored
@ -2,251 +2,249 @@
|
||||
"version": "0.2.0",
|
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"configurations": [
|
||||
{
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"name": "Kill Stale Processes",
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"name": "🚀 MASSIVE RL Training (504M Parameters)",
|
||||
"type": "python",
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||||
"request": "launch",
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"program": "utils/port_manager.py",
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"args": ["--kill-stale"],
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||||
"console": "integratedTerminal",
|
||||
"justMyCode": true
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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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"preLaunchTask": "Kill Stale Processes"
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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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"program": "main_clean.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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"rl"
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],
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"console": "integratedTerminal",
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||||
"justMyCode": true,
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"preLaunchTask": "Kill Stale Processes"
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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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"preLaunchTask": "Kill Stale Processes"
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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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"preLaunchTask": "Kill Stale Processes"
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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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"preLaunchTask": "Kill Stale Processes"
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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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"preLaunchTask": "Kill Stale Processes"
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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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"justMyCode": false,
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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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"CUDA_VISIBLE_DEVICES": "0",
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"PYTORCH_CUDA_ALLOC_CONF": "max_split_size_mb:4096"
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},
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"preLaunchTask": "Kill Stale Processes"
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},
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{
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"name": "🧠 Enhanced CNN Training with Backtesting",
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"type": "python",
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"request": "launch",
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"program": "main_clean.py",
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"args": [
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"--mode",
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"cnn",
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"--symbol",
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"ETH/USDT"
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],
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"console": "integratedTerminal",
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"justMyCode": false,
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"env": {
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"PYTHONUNBUFFERED": "1",
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"ENABLE_BACKTESTING": "1",
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"ENABLE_ANALYSIS": "1",
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"CUDA_VISIBLE_DEVICES": "0"
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},
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"pythonArgs": ["-c", "import sys; sys.path.append('f:/projects/gogo2')"],
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"preLaunchTask": "Kill Stale Processes",
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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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"name": "🔥 Hybrid Training (CNN + RL Pipeline)",
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"type": "python",
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"request": "launch",
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"program": "realtime.py",
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"program": "main_clean.py",
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"args": [
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"--mode",
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"train"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"justMyCode": false,
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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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"CUDA_VISIBLE_DEVICES": "0",
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"PYTORCH_CUDA_ALLOC_CONF": "max_split_size_mb:4096",
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"ENABLE_HYBRID_TRAINING": "1"
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},
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"preLaunchTask": "Kill Stale Processes"
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"preLaunchTask": "Kill Stale Processes",
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"postDebugTask": "Start TensorBoard"
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},
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{
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"name": "Run Scalping Dashboard",
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"name": "💹 Live Scalping Dashboard (500x Leverage)",
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"type": "python",
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"request": "launch",
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"program": "run_scalping_dashboard.py",
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"args": [
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"--episodes",
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"100",
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"1000",
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"--max-position",
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"0.1"
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"0.1",
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"--leverage",
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"500"
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],
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"console": "integratedTerminal",
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"justMyCode": true,
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"justMyCode": false,
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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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"ENABLE_MASSIVE_MODEL": "1",
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"LEVERAGE_MULTIPLIER": "500",
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"SCALPING_MODE": "1"
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},
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"preLaunchTask": "Kill Stale Processes"
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},
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{
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"name": "TensorBoard (Auto Port)",
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"name": "🌙 Overnight Training Monitor (504M Model)",
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"type": "python",
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"request": "launch",
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"program": "utils/launch_tensorboard.py",
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"args": [
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"--logdir=NN/models/saved/logs",
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"--preferred-port=6007",
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"--port-range=6000-7000"
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],
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"program": "overnight_training_monitor.py",
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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": "Realtime RL Training + TensorBoard + Web UI",
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"type": "python",
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"request": "launch",
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"program": "train_realtime_with_tensorboard.py",
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"args": [
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"--episodes",
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"50",
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||||
"--symbol",
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"ETH/USDT",
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"--balance",
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"1000.0",
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"--web-port",
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"8051"
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],
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"console": "integratedTerminal",
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||||
"justMyCode": true,
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"justMyCode": false,
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"env": {
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||||
"PYTHONUNBUFFERED": "1",
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"ENABLE_REAL_DATA_ONLY": "1"
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},
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"preLaunchTask": "Kill Stale Processes"
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"MONITOR_INTERVAL": "300",
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||||
"ENABLE_PLOTS": "1",
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"ENABLE_REPORTS": "1"
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}
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},
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{
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"name": "Quick CNN Test (Real Data + TensorBoard)",
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"name": "📊 Enhanced Web Dashboard",
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"type": "python",
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"request": "launch",
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"program": "test_cnn_only.py",
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"program": "main_clean.py",
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"args": [
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"--mode",
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"web",
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"--port",
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"8050",
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||||
"--demo"
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||||
],
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||||
"console": "integratedTerminal",
|
||||
"justMyCode": true,
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||||
"justMyCode": false,
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||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1"
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||||
"PYTHONUNBUFFERED": "1",
|
||||
"ENABLE_REALTIME_CHARTS": "1",
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||||
"ENABLE_NN_MODELS": "1"
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||||
},
|
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"preLaunchTask": "Kill Stale Processes"
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||||
},
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||||
{
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"name": "TensorBoard Monitor (All Runs)",
|
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"name": "🔬 System Test & Validation",
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"type": "python",
|
||||
"request": "launch",
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||||
"program": "main_clean.py",
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||||
"args": [
|
||||
"--mode",
|
||||
"test"
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||||
],
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false,
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||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1",
|
||||
"TEST_ALL_COMPONENTS": "1"
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||||
}
|
||||
},
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||||
{
|
||||
"name": "📈 TensorBoard Monitor (All Runs)",
|
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"type": "python",
|
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"request": "launch",
|
||||
"program": "run_tensorboard.py",
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||||
"console": "integratedTerminal",
|
||||
"justMyCode": true
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"justMyCode": false
|
||||
},
|
||||
{
|
||||
"name": "🎯 Live Trading (Demo Mode)",
|
||||
"type": "python",
|
||||
"request": "launch",
|
||||
"program": "main_clean.py",
|
||||
"args": [
|
||||
"--mode",
|
||||
"trade",
|
||||
"--symbol",
|
||||
"ETH/USDT"
|
||||
],
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false,
|
||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1",
|
||||
"DEMO_MODE": "1",
|
||||
"ENABLE_MASSIVE_MODEL": "1",
|
||||
"RISK_MANAGEMENT": "1"
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||||
},
|
||||
"preLaunchTask": "Kill Stale Processes"
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||||
},
|
||||
{
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||||
"name": "🚨 Model Parameter Audit",
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||||
"type": "python",
|
||||
"request": "launch",
|
||||
"program": "model_parameter_audit.py",
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false,
|
||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1"
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "🧪 CNN Live Training with Analysis",
|
||||
"type": "python",
|
||||
"request": "launch",
|
||||
"program": "training/enhanced_cnn_trainer.py",
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false,
|
||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1",
|
||||
"ENABLE_BACKTESTING": "1",
|
||||
"ENABLE_ANALYSIS": "1",
|
||||
"ENABLE_LIVE_VALIDATION": "1",
|
||||
"CUDA_VISIBLE_DEVICES": "0"
|
||||
},
|
||||
"preLaunchTask": "Kill Stale Processes",
|
||||
"postDebugTask": "Start TensorBoard"
|
||||
},
|
||||
{
|
||||
"name": "🏗️ Python Debugger: Current File",
|
||||
"type": "debugpy",
|
||||
"request": "launch",
|
||||
"program": "${file}",
|
||||
"console": "integratedTerminal",
|
||||
"justMyCode": false,
|
||||
"env": {
|
||||
"PYTHONUNBUFFERED": "1"
|
||||
}
|
||||
}
|
||||
],
|
||||
"compounds": [
|
||||
{
|
||||
"name": "🚀 Full Training Pipeline (RL + Monitor + TensorBoard)",
|
||||
"configurations": [
|
||||
"🚀 MASSIVE RL Training (504M Parameters)",
|
||||
"🌙 Overnight Training Monitor (504M Model)",
|
||||
"📈 TensorBoard Monitor (All Runs)"
|
||||
],
|
||||
"stopAll": true,
|
||||
"presentation": {
|
||||
"hidden": false,
|
||||
"group": "Training",
|
||||
"order": 1
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "💹 Live Trading System (Dashboard + Monitor)",
|
||||
"configurations": [
|
||||
"💹 Live Scalping Dashboard (500x Leverage)",
|
||||
"🌙 Overnight Training Monitor (504M Model)"
|
||||
],
|
||||
"stopAll": true,
|
||||
"presentation": {
|
||||
"hidden": false,
|
||||
"group": "Trading",
|
||||
"order": 2
|
||||
}
|
||||
},
|
||||
{
|
||||
"name": "🧠 CNN Development Pipeline (Training + Analysis)",
|
||||
"configurations": [
|
||||
"🧠 Enhanced CNN Training with Backtesting",
|
||||
"🧪 CNN Live Training with Analysis",
|
||||
"📈 TensorBoard Monitor (All Runs)"
|
||||
],
|
||||
"stopAll": true,
|
||||
"presentation": {
|
||||
"hidden": false,
|
||||
"group": "Development",
|
||||
"order": 3
|
||||
}
|
||||
}
|
||||
]
|
||||
}
|
||||
|
||||
79
.vscode/tasks.json
vendored
79
.vscode/tasks.json
vendored
@ -1,16 +1,26 @@
|
||||
{
|
||||
"version": "2.0.0",
|
||||
"tasks": [
|
||||
{
|
||||
"label": "Kill Stale Processes",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"-c",
|
||||
"import psutil; [p.kill() for p in psutil.process_iter() if any(x in p.name().lower() for x in ['python', 'tensorboard']) and any(x in ' '.join(p.cmdline()) for x in ['scalping', 'training', 'tensorboard']) and p.pid != psutil.Process().pid]; print('Stale processes killed')"
|
||||
],
|
||||
"presentation": {
|
||||
"reveal": "silent",
|
||||
"panel": "shared"
|
||||
},
|
||||
"problemMatcher": []
|
||||
},
|
||||
{
|
||||
"label": "Start TensorBoard",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"utils/launch_tensorboard.py",
|
||||
"--logdir=NN/models/saved/logs",
|
||||
"--preferred-port=6007",
|
||||
"--port-range=6000-7000",
|
||||
"--kill-stale"
|
||||
"run_tensorboard.py"
|
||||
],
|
||||
"isBackground": true,
|
||||
"problemMatcher": {
|
||||
@ -22,30 +32,75 @@
|
||||
},
|
||||
"background": {
|
||||
"activeOnStart": true,
|
||||
"beginsPattern": ".*TensorBoard.*",
|
||||
"endsPattern": ".*TensorBoard available at.*"
|
||||
"beginsPattern": ".*Starting TensorBoard.*",
|
||||
"endsPattern": ".*TensorBoard.*available.*"
|
||||
}
|
||||
},
|
||||
"presentation": {
|
||||
"reveal": "always",
|
||||
"panel": "new"
|
||||
"panel": "new",
|
||||
"group": "monitoring"
|
||||
},
|
||||
"runOptions": {
|
||||
"runOn": "folderOpen"
|
||||
}
|
||||
},
|
||||
{
|
||||
"label": "Kill Stale Processes",
|
||||
"label": "Monitor GPU Usage",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"utils/port_manager.py",
|
||||
"--kill-stale"
|
||||
"-c",
|
||||
"import GPUtil; import time; [print(f'GPU {gpu.id}: {gpu.load*100:.1f}% load, {gpu.memoryUsed}/{gpu.memoryTotal}MB memory ({gpu.memoryUsed/gpu.memoryTotal*100:.1f}%)') or time.sleep(5) for _ in iter(int, 1) for gpu in GPUtil.getGPUs()]"
|
||||
],
|
||||
"isBackground": true,
|
||||
"presentation": {
|
||||
"reveal": "always",
|
||||
"panel": "new",
|
||||
"group": "monitoring"
|
||||
},
|
||||
"problemMatcher": []
|
||||
},
|
||||
{
|
||||
"label": "Check CUDA Setup",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"-c",
|
||||
"import torch; print(f'PyTorch: {torch.__version__}'); print(f'CUDA Available: {torch.cuda.is_available()}'); print(f'CUDA Version: {torch.version.cuda}' if torch.cuda.is_available() else 'CUDA not available'); [print(f'GPU {i}: {torch.cuda.get_device_name(i)}') for i in range(torch.cuda.device_count())] if torch.cuda.is_available() else None"
|
||||
],
|
||||
"presentation": {
|
||||
"reveal": "always",
|
||||
"panel": "shared"
|
||||
}
|
||||
},
|
||||
"problemMatcher": []
|
||||
},
|
||||
{
|
||||
"label": "Setup Training Environment",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"-c",
|
||||
"import os; os.makedirs('models/rl', exist_ok=True); os.makedirs('models/cnn', exist_ok=True); os.makedirs('logs/overnight_training', exist_ok=True); os.makedirs('reports/overnight_training', exist_ok=True); os.makedirs('plots/overnight_training', exist_ok=True); print('Training directories created')"
|
||||
],
|
||||
"presentation": {
|
||||
"reveal": "silent",
|
||||
"panel": "shared"
|
||||
},
|
||||
"problemMatcher": []
|
||||
},
|
||||
{
|
||||
"label": "Validate Model Parameters",
|
||||
"type": "shell",
|
||||
"command": "python",
|
||||
"args": [
|
||||
"model_parameter_audit.py"
|
||||
],
|
||||
"presentation": {
|
||||
"reveal": "always",
|
||||
"panel": "shared"
|
||||
},
|
||||
"problemMatcher": []
|
||||
}
|
||||
]
|
||||
}
|
||||
Reference in New Issue
Block a user