There are two tiers in normal life. Those who are survive and those who thrive. But nothing is a mistake in life: Nothing comes by chance. You have to prepare for it. If you thought life was about making money and beating out the Jones's, you've lost already. Life is: Desire for connection. All unhealthy competition is isolating. We live in an isolated-enough world already. This connection comes from a surprising place: Self-acceptance. A lot of us need to go back to the classroom. A lot of us need to take a silent breather and check in with what we need. This takes serious work. It's the real work. It relies on respect for others and self-respect. A lot of people in the self-help community try to push the self aside: Manning up is the only side of it they see. But there are certain non-negotiables in this life. Certain things we can't cheat ourselves out of. We are not a piece of meat being acted on. However, this is where God comes in. Some o...
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How to make an AI trading bot
Python has emerged as a powerful tool in the hands of amateur and professional traders alike. There are libraries available for cryptocurrency trading, backtesting, and simulation. In this article, we will be focusing on the creation of a simple trading bot using the Python programming language.
The first step is to install the necessary libraries. We will be using the TensorFlow library for Artificial Intelligence, the NumPy library for scientific computing, and the pandas library for data analysis.
pip install tensorflow numpy pandas
We will also be using the Coinbase API to get real-time pricing data. You will need to create a Coinbase account and register for a Coinbase API key.
Once the libraries are installed, we can start coding the trading bot. Our bot will consist of three components:
The first component is responsible for gathering price data from the Coinbase API.
The second component is responsible for analyzing the data and making buy and sell decisions.
The third component is responsible for sending orders to the Coinbase API.
The first component is a simple function that downloads the latest Bitcoin price data from the Coinbase API.
def get_price(btc_pair):
url = "https://api.coinbase.com/v2/prices/"
request = urllib.request.Request(url)
response = urllib.request.urlopen(request)
data = response.read()
return data
The second component is a bit more complicated. It consists of two functions: one for buying and one for selling.
The buy function will analyze the price data and make a buy decision if the price is below the moving average. It will also check the volume to make sure there is enough liquidity.
def buy(btc_pair, volume):
ma = moving_average(btc_pair, period=10)
if ma < price:
buy_volume = volume
else:
buy_volume = 0
return buy_volume
The sell function is similar, except it will sell if the price is above the moving average.
def sell(btc_pair, volume):
ma = moving_average(btc_pair, period=10)
if ma > price:
sell_volume = volume
After reading this article, you should be able to use python to make a trading bot. Trading bots can help you make more efficient and profitable trades by automatically executing trades for you.
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