Python SDK to build, train, stress-test, deploy and monitor trading strategies
Using pip
pip install traderman
Cloning the repository
git clone https://github.com/iteralabs/traderman.git
One alternative way of storing the Tokens is to place them in a .py inside a local virtual environment folder that is ignored (indicated in .gitignore) and run such file once every working session that you are developing locally.
import os
import toml
import numpy as np
from traderman.forecasters.benchmarks import Randomizer
from traderman.connectors import binance as BinanceSpot
BINANCE_API_KEY = os.environ["BINANCE_API_KEY"]
BINANCE_SECRET_KEY = os.environ["BINANCE_SECRET_KEY"]
# --- Get params from Config.toml
with open(cwd_path + "/examples/basic_config.toml", "r") as file:
config_data = toml.load(file)
SET_SEED = config_data["model"]["signal"]["model_params"]["seed"]
SET_CLASSES = config_data["model"]["signal"]["model_params"]["classes"]
# --- Use the randomizer as model benchmark
ModelSignal = Randomizer(seed=SET_SEED, model_type="classifier")
forecasted_signal = ModelSignal.predict(classes=SET_CLASSES)
ModelRisk = Randomizer(seed=SET_SEED, model_type="regressor")
forecasted_volume = np.round(ModelRisk.predict(lower=0.0001, upper=0.0009), 4)
# --- Specify parameters for trades
trade_params = {
"symbol": "BTCUSDT",
"type": "MARKET",
"side": forecasted_signal,
"quantity": forecasted_volume[0],
}
# --- Place an Order
n_order = BinanceSpot.new_order(
in_params=trade_params,
api_key=BINANCE_API_KEY,
secret_key=BINANCE_SECRET_KEY
)Thanks to everyone that have contributed and made a difference.
Check out the following ways to contribute:
- Check the Contributing guide and the Open Projects
MIT License
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