🥝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

Implementing into an Application User Interface:

User Interface (UI):

This is the part of the app that you, the user, can see and interact with. It's designed to show you what the bot is doing and allow you to make changes to its settings.

Dashboard:

The application will have a dashboard displaying real-time information about your investments, recent trades, and market conditions.

Notifications and Alerts:

The app can send you notifications or alerts based on the bot's activities or significant market events.

User Controls:

Through the UI, you can adjust the bot's notification settings, choose assets to trade, and define specific strategies you want the bot to follow.

SIGNAL FLOW

Signal Flow to the KIWI Defi App User's Hands:

Market Data to Bot:

The trading bot continuously receives market data and uses its algorithm to analyze this information.

Decision to Action:

When the bot decides to make a trade, it executes this action through a trading platform or broker via API Integration from KIWI Defi App.

Feedback Loop:

After executing a trade, the bot updates its performance metrics and possibly adjusts its strategy based on the outcome.

User Interface Update:

The application's backend processes these updates and sends relevant information to the frontend.

User Notification:

The app displays updates on the dashboard and can send alerts or notifications directly to the user.

User Interaction:

Based on the information received, you can make decisions, such as adjusting settings or manually entering a trade position.

This process ensures transparency and user control over the trading strategy while making the process more efficient and eventually automated.

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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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