diff --git a/examples/FinRL_PaperTrading_Demo_refactored.py b/examples/FinRL_PaperTrading_Demo_refactored.py
deleted file mode 100644
index 7ab107f..0000000
--- a/examples/FinRL_PaperTrading_Demo_refactored.py
+++ /dev/null
@@ -1,213 +0,0 @@
-
-# install finrl library
-# %pip install --upgrade git+https://github.com/AI4Finance-Foundation/FinRL.git
-# Alpaca keys
-from __future__ import annotations
-
-# import argparse
-
-# parser = argparse.ArgumentParser()
-# parser.add_argument("data_key", help="data source api key")
-# parser.add_argument("data_secret", help="data source api secret")
-# parser.add_argument("data_url", help="data source api base url")
-# parser.add_argument("trading_key", help="trading api key")
-# parser.add_argument("trading_secret", help="trading api secret")
-# parser.add_argument("trading_url", help="trading api base url")
-# args = parser.parse_args()
-DATA_API_KEY = "PKVD6WOSPEMKS0UI6A3K" #args.data_key
-DATA_API_SECRET = "BxT64PIQtDBb*tnW"  #args.data_secret
-DATA_API_BASE_URL = 'https://paper-api.alpaca.markets' #args.data_url
-TRADING_API_KEY = "PKVD6WOSPEMKS0UI6A3K" #args.trading_key
-TRADING_API_SECRET = "BxT64PIQtDBb*tnW"  #args.trading_secret
-TRADING_API_BASE_URL = 'https://paper-api.alpaca.markets' #args.trading_url
-
-print("DATA_API_KEY: ", DATA_API_KEY)
-print("DATA_API_SECRET: ", DATA_API_SECRET)
-print("DATA_API_BASE_URL: ", DATA_API_BASE_URL)
-print("TRADING_API_KEY: ", TRADING_API_KEY)
-print("TRADING_API_SECRET: ", TRADING_API_SECRET)
-print("TRADING_API_BASE_URL: ", TRADING_API_BASE_URL)
-
-import alpaca_trade_api
-from finrl.meta.env_stock_trading.env_stocktrading_np import StockTradingEnv
-from finrl.meta.paper_trading.alpaca import PaperTradingAlpaca
-from finrl.meta.paper_trading.common import train, test, alpaca_history, DIA_history
-# from finrl.meta.PaperTradingAlpaca.alpaca_trade_api import PaperTradingAlpaca
-from finrl.config import INDICATORS
-
-
-
-# ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
-# xgboost 2.1.1 requires nvidia-nccl-cu12; platform_system == "Linux" and platform_machine != "aarch64", which is not installed.
-# cudf-cu12 24.4.1 requires pandas<2.2.2dev0,>=2.0, but you have pandas 2.2.2 which is incompatible.
-# google-colab 1.0.0 requires pandas==2.1.4, but you have pandas 2.2.2 which is incompatible.
-# osqp 0.6.7.post0 requires scipy!=1.12.0,>=0.13.2, but you have scipy 1.12.0 which is incompatible.
-
-
-# pip install finrl.meta.paper_trading.alpaca
-# pip install finrl.meta.paper_trading.common
-
-# Import Dow Jones 30 Symbols
-from finrl.config_tickers import DOW_30_TICKER
-
-ticker_list = DOW_30_TICKER
-env = StockTradingEnv
-# if you want to use larger datasets (change to longer period), and it raises error, please try to increase "target_step". It should be larger than the episode steps.
-ERL_PARAMS = {
-    "learning_rate": 3e-6,
-    "batch_size": 2048,
-    "gamma": 0.985,
-    "seed": 312,
-    "net_dimension": [128, 64],
-    "target_step": 5000,
-    "eval_gap": 30,
-    "eval_times": 1,
-}
-
-# Set up sliding window of 6 days training and 2 days testing
-import datetime
-from pandas.tseries.offsets import BDay  # BDay is business day, not birthday...
-
-today = datetime.datetime.today()
-
-TEST_END_DATE = (today - BDay(1)).to_pydatetime().date()
-TEST_START_DATE = (TEST_END_DATE - BDay(1)).to_pydatetime().date()
-TRAIN_END_DATE = (TEST_START_DATE - BDay(1)).to_pydatetime().date()
-TRAIN_START_DATE = (TRAIN_END_DATE - BDay(5)).to_pydatetime().date()
-TRAINFULL_START_DATE = TRAIN_START_DATE
-TRAINFULL_END_DATE = TEST_END_DATE
-
-TRAIN_START_DATE = str(TRAIN_START_DATE)
-TRAIN_END_DATE = str(TRAIN_END_DATE)
-TEST_START_DATE = str(TEST_START_DATE)
-TEST_END_DATE = str(TEST_END_DATE)
-TRAINFULL_START_DATE = str(TRAINFULL_START_DATE)
-TRAINFULL_END_DATE = str(TRAINFULL_END_DATE)
-
-print("TRAIN_START_DATE: ", TRAIN_START_DATE)
-print("TRAIN_END_DATE: ", TRAIN_END_DATE)
-print("TEST_START_DATE: ", TEST_START_DATE)
-print("TEST_END_DATE: ", TEST_END_DATE)
-print("TRAINFULL_START_DATE: ", TRAINFULL_START_DATE)
-print("TRAINFULL_END_DATE: ", TRAINFULL_END_DATE)
-
-train(
-    start_date=TRAIN_START_DATE,
-    end_date=TRAIN_END_DATE,
-    ticker_list=ticker_list,
-    data_source="alpaca",
-    time_interval="1Min",
-    technical_indicator_list=INDICATORS,
-    drl_lib="elegantrl",
-    env=env,
-    model_name="ppo",
-    if_vix=True,
-    API_KEY=DATA_API_KEY,
-    API_SECRET=DATA_API_SECRET,
-    API_BASE_URL=DATA_API_BASE_URL,
-    erl_params=ERL_PARAMS,
-    cwd="./papertrading_erl",  # current_working_dir
-    break_step=1e5,
-)
-
-account_value_erl = test(
-    start_date=TEST_START_DATE,
-    end_date=TEST_END_DATE,
-    ticker_list=ticker_list,
-    data_source="alpaca",
-    time_interval="1Min",
-    technical_indicator_list=INDICATORS,
-    drl_lib="elegantrl",
-    env=env,
-    model_name="ppo",
-    if_vix=True,
-    API_KEY=DATA_API_KEY,
-    API_SECRET=DATA_API_SECRET,
-    API_BASE_URL=DATA_API_BASE_URL,
-    cwd="./papertrading_erl",
-    net_dimension=ERL_PARAMS["net_dimension"],
-)
-
-train(
-    start_date=TRAINFULL_START_DATE,  # After tuning well, retrain on the training and testing sets
-    end_date=TRAINFULL_END_DATE,
-    ticker_list=ticker_list,
-    data_source="alpaca",
-    time_interval="1Min",
-    technical_indicator_list=INDICATORS,
-    drl_lib="elegantrl",
-    env=env,
-    model_name="ppo",
-    if_vix=True,
-    API_KEY=DATA_API_KEY,
-    API_SECRET=DATA_API_SECRET,
-    API_BASE_URL=DATA_API_BASE_URL,
-    erl_params=ERL_PARAMS,
-    cwd="./papertrading_erl_retrain",
-    break_step=2e5,
-)
-
-action_dim = len(DOW_30_TICKER)
-state_dim = (
-    1 + 2 + 3 * action_dim + len(INDICATORS) * action_dim
-)  # Calculate the DRL state dimension manually for paper trading. amount + (turbulence, turbulence_bool) + (price, shares, cd (holding time)) * stock_dim + tech_dim
-
-paper_trading_erl = PaperTradingAlpaca(
-    ticker_list=DOW_30_TICKER,
-    time_interval="1Min",
-    drl_lib="elegantrl",
-    agent="ppo",
-    cwd="./papertrading_erl_retrain",
-    net_dim=ERL_PARAMS["net_dimension"],
-    state_dim=state_dim,
-    action_dim=action_dim,
-    API_KEY=TRADING_API_KEY,
-    API_SECRET=TRADING_API_SECRET,
-    API_BASE_URL=TRADING_API_BASE_URL,
-    tech_indicator_list=INDICATORS,
-    turbulence_thresh=30,
-    max_stock=1e2,
-)
-
-paper_trading_erl.run()
-
-# Check Portfolio Performance
-# ## Get cumulative return
-df_erl, cumu_erl = alpaca_history(
-    key=DATA_API_KEY,
-    secret=DATA_API_SECRET,
-    url=DATA_API_BASE_URL,
-    start="2022-09-01",  # must be within 1 month
-    end="2022-09-12",
-)  # change the date if error occurs
-
-df_djia, cumu_djia = DIA_history(start="2022-09-01")
-returns_erl = cumu_erl - 1
-returns_dia = cumu_djia - 1
-returns_dia = returns_dia[: returns_erl.shape[0]]
-
-# plot and save
-import matplotlib.pyplot as plt
-
-plt.figure(dpi=1000)
-plt.grid()
-plt.grid(which="minor", axis="y")
-plt.title("Stock Trading (Paper trading)", fontsize=20)
-plt.plot(returns_erl, label="ElegantRL Agent", color="red")
-# plt.plot(returns_sb3, label = 'Stable-Baselines3 Agent', color = 'blue' )
-# plt.plot(returns_rllib, label = 'RLlib Agent', color = 'green')
-plt.plot(returns_dia, label="DJIA", color="grey")
-plt.ylabel("Return", fontsize=16)
-plt.xlabel("Year 2021", fontsize=16)
-plt.xticks(size=14)
-plt.yticks(size=14)
-ax = plt.gca()
-ax.xaxis.set_major_locator(ticker.MultipleLocator(78))
-ax.xaxis.set_minor_locator(ticker.MultipleLocator(6))
-ax.yaxis.set_minor_locator(ticker.MultipleLocator(0.005))
-ax.yaxis.set_major_formatter(ticker.PercentFormatter(xmax=1, decimals=2))
-ax.xaxis.set_major_formatter(
-    ticker.FixedFormatter(["", "10-19", "", "10-20", "", "10-21", "", "10-22"])
-)
-plt.legend(fontsize=10.5)
-plt.savefig("papertrading_stock.png")
diff --git a/examples/FinRL_GPM_Demo.ipynb b/examples/PY/FinRL_GPM_Demo.ipynb
similarity index 100%
rename from examples/FinRL_GPM_Demo.ipynb
rename to examples/PY/FinRL_GPM_Demo.ipynb
diff --git a/examples/README.md b/examples/PY/README.md
similarity index 100%
rename from examples/README.md
rename to examples/PY/README.md
diff --git a/examples/Welcome_To_Colab.ipynb b/examples/PY/Welcome_To_Colab.ipynb
similarity index 100%
rename from examples/Welcome_To_Colab.ipynb
rename to examples/PY/Welcome_To_Colab.ipynb
diff --git a/examples/tradingBot.ipynb b/examples/PY/tradingBot.ipynb
similarity index 100%
rename from examples/tradingBot.ipynb
rename to examples/PY/tradingBot.ipynb
diff --git a/examples/PY/train.py b/examples/PY/train.py
deleted file mode 100644
index f1c7171..0000000
--- a/examples/PY/train.py
+++ /dev/null
@@ -1,11 +0,0 @@
-# train.py
-
-import datetime
-import pytz
-def main():
-    # Get current time in UTC 
-    datetime_utc = datetime.datetime.now(pytz.utc)
-    return datetime_utc    
-
-if __name__ == "__main__":
-    main()
\ No newline at end of file
diff --git a/examples/PY1/index.py b/examples/PY1/index.py
deleted file mode 100644
index c814553..0000000
--- a/examples/PY1/index.py
+++ /dev/null
@@ -1,37 +0,0 @@
-from flask import Flask, request, jsonify # Import the Flask class from the flask module 
-import time  # Example module to simulate processing time
-from flask_cors import CORS # This is the only new import  # Import the Flask class from 
-app = Flask(__name__) # Create a Flask app
-CORS(app) # This will enable CORS for all routes
-
-# Define a route 
-@app.route('/your-endpoint')  
-def your_function():
-    data = {"message": "Hello, world! ferom your-endpoint"} 
-    return jsonify(data)
-
-@app.route('/run-script', methods=['POST'])
-def run_script():
-    data = request.json.get('data')
-    # Simulate running a Python script (replace this with your actual logic)
-    time.sleep(2)  # Simulating a delay
-    result = f'Processed data: {data}'  # Example response
-
-    return jsonify({'message': result})
-
-
-@app.route('/')
-def home():
-    return 'Hello, From The Home route World!'
-
-@app.route('/about')
-def about():
-    return 'About'
-
-from datetime import datetime
-now = datetime.now()
-formatted_time = now.strftime("%Y-%m-%d %H:%M:%S")
-print(f"Hello from greet.py at {formatted_time}")
-
-if __name__ == '__main__':
-    app.run(debug=True)
diff --git a/examples/PY1/requirements.txt b/examples/PY1/requirements.txt
deleted file mode 100644
index 23a17b8..0000000
--- a/examples/PY1/requirements.txt
+++ /dev/null
@@ -1,2 +0,0 @@
-Flask - CORS
-flask
diff --git a/examples/PY1/t1.py b/examples/PY1/t1.py
deleted file mode 100644
index 11a8517..0000000
--- a/examples/PY1/t1.py
+++ /dev/null
@@ -1,45 +0,0 @@
-# import { NextResponse } from 'next/server'
-# import { exec } from 'child_process'
-# import { promisify } from 'util'
-# import path from 'path'
-
-# const PYscriptPath = path.join(process.cwd(), 'py', 'greet.py')
-
-# const execPromise = promisify(exec)
-
-# export async function GET() {
-#   try {
-#     const { stdout, stderr } = await execPromise('python3 ' + PYscriptPath)
-#     if (stderr) {
-#       throw new Error(stderr)
-#     }
-#     return NextResponse.json({ output: stdout })
-#   } catch (error: any) {
-#     return NextResponse.json({ error: error.message }, { status: 500 })
-#   }
-# }
-
-# from http.server import BaseHTTPRequestHandler
- 
-# class handler(BaseHTTPRequestHandler):
- 
-#     def do_GET(self):
-#         self.send_response(200)
-#         self.send_header('Content-type','text/plain')
-#         self.end_headers()
-#         self.wfile.write('Hello, world!'.encode('utf-8'))
-#         return
-
-# // /jojobot/pages/api/run-script.ts
-# import { exec } from 'child_process';
-# import type { NextApiRequest, NextApiResponse } from 'next';
-
-# export default function handler(req: NextApiRequest, res: NextApiResponse) {
-#   exec('python ./../../scripts/train.py', (error, stdout, stderr) => {
-#     if (error) {
-#       res.status(500).json({ error: stderr });
-#     } else {
-#       res.status(200).json({ message: 'Script executed successfully' });
-#     }
-#   });
-# }
diff --git a/results/a2c/events.out.tfevents.1726691915.Dovs-Mac-mini.lan.8454.0 b/results/a2c/events.out.tfevents.1726691915.Dovs-Mac-mini.lan.8454.0
new file mode 100644
index 0000000..143960d
Binary files /dev/null and b/results/a2c/events.out.tfevents.1726691915.Dovs-Mac-mini.lan.8454.0 differ
diff --git a/results/a2c/progress.csv b/results/a2c/progress.csv
new file mode 100644
index 0000000..2cd3ec6
--- /dev/null
+++ b/results/a2c/progress.csv
@@ -0,0 +1,49 @@
+train/learning_rate,time/time_elapsed,train/policy_loss,time/fps,train/n_updates,time/iterations,train/value_loss,train/reward,train/std,time/total_timesteps,train/explained_variance,train/entropy_loss
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