[Question] - Why different results each time loaded model is run? about gym-mtsim HOT 2 CLOSED

import gym
from gym_mtsim import (
    Timeframe, SymbolInfo,
    MtSimulator, OrderType, Order, SymbolNotFound, OrderNotFound,
    MtEnv,
    FOREX_DATA_PATH, STOCKS_DATA_PATH, CRYPTO_DATA_PATH, MIXED_DATA_PATH,
)
from stable_baselines3 import A2C

env = gym.make('forex-hedge-v0')

model = A2C('MultiInputPolicy', env, verbose=0)
model.learn(total_timesteps=1000)

observation = env.reset()
while True:
    action, _states = model.predict(observation)
    observation, reward, done, info = env.step(action)
    if done:
        break

modelName = 'model_test'
model.save(f'{modelName}.zip')

env.render('advanced_figure', time_format="%Y-%m-%d")

### 
# running the loop below should not result in different results each time, should it...
# ... but it does!  What am I missing here?
### 
model = A2C.load(modelName)

for i in range(5):
    observation = env.reset()
    while True:
        action, _states = model.predict(observation)
        observation, reward, done, info = env.step(action)
        if done:
            break

    env.render('advanced_figure', time_format="%Y-%m-%d")
'''