🥝The Boring Stuff You Want to Know

THE BRAIN

How an Algorithmic Trading Bot Works:

The Brain (KIWI Defi Algorithm):

Think of the trading bot as a robot with a set of rules (algorithm) that tells it when to buy or sell assets. These rules are based on various factors like price changes, market trends, and economic indicators.

The Eyes and Ears (Data Feed):

The bot constantly watches the market through a data feed, providing real-time information about stock prices, market conditions, and other relevant data.

Making Decisions:

Using its "brain," the bot analyzes data from its "eyes and ears" to make decisions. If the data matches its rules for buying, it decides to buy. If the data matches its rules for selling, it decides to sell.

Taking Action (Execution):

Once the bot decides to buy or sell, it sends an order to a broker or exchange to execute the trade. This is like the bot making a phone call to buy or sell assets on your behalf.

IMPLEMENTATION

SIGNAL FLOW

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KIWI Webhook Implementation:

from flask import Flask, request

app = Flask(__name__)

@app.route('/webhook', methods=['POST'])
def webhook():
    data = request.json
    signal = data['signal']

    if signal == 'BUY':
        # Place buy order or execute buy logic here
        print("Buy signal received from TradingView!")
    elif signal == 'SELL':
        # Place sell order or execute sell logic here
        print("Sell signal received from TradingView!")
    else:
        print("Unknown signal received from TradingView")

    return 'Webhook received successfully', 200

if __name__ == '__main__':
    app.run(port=5000)

This Flask framework code example showcases how KIWI utilizes webhooks for seamless communication with external sources.

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