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Prince Balhara Oodles

Prince Balhara (Backend-Sr. Lead Development)

Experience:5+ yrs

Prince is an experienced Backend Developer with a focus on MEAN stack technology. He has a deep understanding of Node.js, JavaScript, Web3, messaging queues, Angular, and both relational and non-relational databases like MySQL, PostgreSQL, and MongoDB. He has worked on numerous successful projects such as Distinct, Dswapper, and Lewk. With his vast knowledge and experience, he is well-equipped to handle complex tasks and deliver high-quality solutions that meet his clients' needs.

Prince Balhara Oodles
Prince Balhara
(Sr. Lead Development)

Prince is an experienced Backend Developer with a focus on MEAN stack technology. He has a deep understanding of Node.js, JavaScript, Web3, messaging queues, Angular, and both relational and non-relational databases like MySQL, PostgreSQL, and MongoDB. He has worked on numerous successful projects such as Distinct, Dswapper, and Lewk. With his vast knowledge and experience, he is well-equipped to handle complex tasks and deliver high-quality solutions that meet his clients' needs.

LanguageLanguages

DotENGLISH

Fluent

DotHINDI

Fluent

Skills
Skills

DotNo SQL/Mongo DB

100%

DotEtherscan

80%

DotMEAN

80%

DotAngular/AngularJS

100%

Dotweb.py

80%

DotDyanmoDB

80%

DotSolana Web3.js

80%

DotNestJS

100%

DotChainlink

80%

DotThe Graph

60%

DotPostgres

100%

DotERC-721

80%

DotERC-1155

80%

DotCoinbase API

80%

DotIPFS

80%

DotTruffle

80%

DotFunC Language

80%

DotTON Blockchain

80%

DotJavascript

100%

DotMetaMask

80%

DotHTML, CSS

80%

DotOpenZeppelin

80%

DotTelegram Bot

80%

DotNode Js

100%
ExpWork Experience / Trainings / Internship

Oct 2021-Present

Lead Development

Gurgaon


Oodles Technologies

Gurgaon

Oct 2021-Present

Jan 2021-Oct 2021

Full stack developer

New Delhi


Dynapt solutions

New Delhi

Jan 2021-Oct 2021

Feb 2020-Dec 2020

Software Developer

Vasant Kunj, New Delhi, Delhi 110070


Internexus

Vasant Kunj, New Delhi, Delhi 110070

Feb 2020-Dec 2020

EducationEducation

2016-2020

Dot

Maharshi Dayanand University

Computer Science-Full stack development

Top Blog Posts
How to Create Play-to-Earn Gaming Smart Contracts

The Play-to-Earn (P2E) model has become a ground-breaking idea in the blockchain game development space as it allows gamers to obtain real-world value by performing in-game tasks. Smart contracts development, which drives these games' transparent and decentralized economies, is at the center of this change.

 

Comprehending the Essential Components of a Play-to-Earn Smart Contract

 

In essence, a Play-to-Earn gaming smart contract is a set of pre-established guidelines stored on a blockchain and intended to control game-related transactions, asset ownership, and prizes. The main elements of a standard P2E smart contract are as follows:

 

In-Game Rewards

 

Players earn tokens or NFTs as they progress through the game. These rewards can be traded or sold in decentralized markets, offering real-world value to players.

 

Also, Read |  Tap-to-Earn Games | An Exhaustive Guide to Rewards-Based Gaming

 

Asset Ownership

 

Smart contracts enable true ownership of in-game assets like characters, skins, or items in the form of NFTs. Unlike traditional games, where assets remain under the game developer's control, NFTs grant players full rights over their possessions.

 

Secure Transactions

 

The decentralized nature of blockchain ensures that all transactions, whether token earnings or asset trades, are securely recorded and verifiable.

 

Game Governance

 

Some Play-to-Earn games incorporate decentralized governance, allowing players to vote on game updates or economic changes through token staking or governance mechanisms built into the smart contract.

 

Interoperability

 

Thanks to standardized smart contract protocols, many P2E games strive for cross-game compatibility, allowing players to use their NFTs or tokens in other games.

 

Also, Check | How to Create a Simple Crypto Clicker Game


An Easy Play-to-Earn Gaming Smart Contract in Solidity Code

 

This is a basic example of implementing a Play-to-Earn smart contract in Solidity, which is the main Ethereum smart contract programming language. Tokens are awarded to participants under this contract when they perform in-game activities.

 

// SPDX-License-Identifier: MIT
pragma solidity ^0.8.0;

contract PlayToEarnGame {
    // Token balance mapping for players
    mapping(address => uint256) public tokenBalance;
    
    // Owner of the contract (game developer)
    address public owner;

    // Token reward per task completed
    uint256 public rewardAmount;

    // Event to notify when a player earns tokens
    event TokensEarned(address indexed player, uint256 amount);

    // Modifier to allow only owner to execute specific functions
    modifier onlyOwner() {
        require(msg.sender == owner, "Only the owner can perform this action");
        _;
    }

    constructor(uint256 _rewardAmount) {
        owner = msg.sender;  // Set the contract deployer as the owner
        rewardAmount = _rewardAmount;  // Initialize the token reward per task
    }

    // Function to complete a task and earn tokens
    function completeTask() external {
        // Increment the player's token balance
        tokenBalance[msg.sender] += rewardAmount;

        // Emit an event to notify of the reward
        emit TokensEarned(msg.sender, rewardAmount);
    }

    // Function for the owner to adjust the reward amount
    function setRewardAmount(uint256 _newAmount) external onlyOwner {
        rewardAmount = _newAmount;
    }

    // Function to allow players to withdraw their tokens
    function withdrawTokens() external {
        uint256 playerBalance = tokenBalance[msg.sender];
        require(playerBalance > 0, "You have no tokens to withdraw");

        // Transfer the tokens to the player
        payable(msg.sender).transfer(playerBalance);

        // Reset the player's balance
        tokenBalance[msg.sender] = 0;
    }

    // Fallback function to accept Ether (could be used to fund rewards)
    receive() external payable {}
}

 

You may also like | How To Create a Daily Game Reward System in Solidity

 

Play-to-Earn Smart Contracts' Future

 

Play-to-earn games are about to cause unheard-of disruptions in the gaming business. We anticipate increasingly intricate incentive structures, tokenized economies, and cross-platform gameplay as blockchain technology develops, all of which will improve the gaming experience. If you are looking to develop your game leveraging these emerging decentralized gaming models, connect with our blockchain game developers to get started. 

 

 

 

Category: Blockchain
How to Build a Grid Trading Bot | A Step-by-Step Guide

Grid trading bots automate trading strategies by placing buy and sell orders at predetermined intervals, known as grid levels, to capitalize on market fluctuations. These bots are particularly useful in volatile markets, where price movements can create profit opportunities. By systematically buying low and selling high at multiple price points, grid trading bots aim to capture gains across a range of price movements. This guide walks you through the essential steps to develop a grid trading bot, including defining your strategy, connecting to an exchange API, managing orders, and handling errors. With practical code examples and setup instructions, you'll learn how to create and deploy a robust grid trading system tailored to your chosen market. To develop a grid trading bot, follow these steps to create an automated system that places buy and sell orders at specific intervals (grid levels) to capitalize on market fluctuations. For more about crypto bots, visit our crypto trading bot development services

 

Creating a Grid Trading Bot  

 

Step 1: Define Your Trading Strategy

 

Choose a Market: Decide which market you want your grid bot to operate in, such as cryptocurrency, stocks, or forex. Your choice will determine which exchange or broker API you need to use.

Set Grid Parameters:

Grid Size: Establish the price range (upper and lower limits) where your bot will execute trades.

Grid Levels: Determine the number of price points or grid levels within the selected range.

Order Size: Decide how much to buy or sell at each grid level.

Grid Step: Define the price difference between each grid level.

Entry and Exit Criteria: Establish the conditions for starting the grid (e.g., when the price reaches a specific point) and stopping or exiting the grid strategy (e.g., achieving a target profit or hitting a stop-loss limit).

 

You may also like | How to Build a Solana Sniper Bot

 

Step 2: Connect to the Exchange API

 

API Access: Obtain API keys from the exchange you plan to use (e.g., Binance, Kraken, Coinbase).

Install and Configure API Library: Utilize an appropriate library to interact with the exchange's API, which will allow you to fetch market data and place orders.

 

Step 3: Gather Market Data and Set Up the Grid

 

Fetch Market Data: Retrieve the latest price data to understand current market conditions.

Calculate Grid Levels: Based on the current market price, grid size, and grid step, determine the specific price points where you will place buy and sell orders.

Place Initial Grid Orders: Use the exchange's API to place the initial buy and sell orders at the calculated grid levels.

 

Also, Check | How To Create My Scalping Bot Using Node.js

 

Step 4: Monitor and Adjust Orders

 

Monitor Market Prices: Continuously track the latest prices to see if any of your orders have been executed.

Rebalance the Grid: If a buy order is executed, place a new sell order one grid step above the executed price. Similarly, if a sell order is executed, place a new buy order one grid step below.

Implement Stop-Loss and Take-Profit: Set conditions to close all positions if the bot reaches a predetermined loss or profit.

 

Step 5: Handle Errors and Log Activities

 

Error Handling: Ensure the bot can handle issues like API rate limits, order rejections, and connection problems.

Logging: Record all transactions, orders, and market data to monitor the bot's performance and troubleshoot if needed.

 

You may also like |  Building a Chatbot based on Blockchain

 

Step 6: Backtest Your Strategy

 

Use Historical Data: Run simulations using past market data to see how your bot would have performed in various conditions.

Evaluate Performance: Review metrics like profit and loss, drawdown, and risk to determine the strategy's effectiveness.

 

Step 7: Deploy and Monitor Your Bot

 

Deploy on a Secure Server: Set up your bot on a reliable server, such as a VPS or a cloud service like AWS, Azure, or Google Cloud, to run continuously.

Monitor in Real-Time: Regularly check your bot's performance and make adjustments as needed to optimize results.

 


// Step 1: Install Required Libraries
// We'll use the `ccxt` library to interact with various cryptocurrency exchanges.

const ccxt = require('ccxt');

// Step 2: Setup the Bot Configuration
// Define the necessary configuration parameters such as API keys, grid size, and levels.

const exchange = new ccxt.binance({
  apiKey: 'YOUR_API_KEY', // Replace with your Binance API Key
  secret: 'YOUR_SECRET_KEY', // Replace with your Binance Secret Key
  enableRateLimit: true,
});

// Bot configuration
const symbol = 'BTC/USDT'; // The trading pair
const gridSize = 1000; // The range within which the bot will operate
const gridLevels = 10; // Number of grid levels
const orderSize = 0.001; // Size of each order

/**
 * Step 3: Calculate Grid Levels
 * 
 * Calculate the price points (grid levels) where the bot will place buy and sell orders.
 * This step ensures that the bot knows exactly where to place orders within the specified range.
 */
async function calculateGridLevels() {
  const ticker = await exchange.fetchTicker(symbol);
  const currentPrice = ticker.last; // Get the current market price

  const gridStep = gridSize / gridLevels; // Calculate grid step size

  let gridPrices = [];
  for (let i = 0; i < gridLevels; i++) {
    let buyPrice = currentPrice - (gridStep * (i + 1));
    let sellPrice = currentPrice + (gridStep * (i + 1));
    gridPrices.push({ buyPrice, sellPrice });
  }

  return gridPrices;
}

/**
 * Step 4: Place Initial Grid Orders
 * 
 * This function places buy and sell orders at the calculated grid levels. 
 * It iterates through each level and places both a buy and sell order at the corresponding prices.
 */
async function placeGridOrders(gridPrices) {
  for (let i = 0; i < gridPrices.length; i++) {
    const { buyPrice, sellPrice } = gridPrices[i];

    try {
      await exchange.createLimitBuyOrder(symbol, orderSize, buyPrice);
      console.log(`Placed buy order at ${buyPrice}`);

      await exchange.createLimitSellOrder(symbol, orderSize, sellPrice);
      console.log(`Placed sell order at ${sellPrice}`);
    } catch (error) {
      console.error(`Error placing order: ${error.message}`);
    }
  }
}

/**
 * Step 5: Monitor and Manage Orders
 * 
 * Continuously monitor the market to adjust orders based on execution. 
 * If a buy order is filled, the bot places a new sell order one grid step above, and vice versa.
 */
async function manageOrders() {
  try {
    const openOrders = await exchange.fetchOpenOrders(symbol);

    for (const order of openOrders) {
      // Check if any orders are filled
      const orderInfo = await exchange.fetchOrder(order.id, symbol);
      if (orderInfo.status === 'closed') {
        console.log(`Order ${order.id} is filled at ${orderInfo.price}`);

        // Place a new order in the opposite direction
        if (order.side === 'buy') {
          const newSellPrice = orderInfo.price + (gridSize / gridLevels);
          await exchange.createLimitSellOrder(symbol, orderSize, newSellPrice);
          console.log(`Placed new sell order at ${newSellPrice}`);
        } else if (order.side === 'sell') {
          const newBuyPrice = orderInfo.price - (gridSize / gridLevels);
          await exchange.createLimitBuyOrder(symbol, orderSize, newBuyPrice);
          console.log(`Placed new buy order at ${newBuyPrice}`);
        }
      }
    }
  } catch (error) {
    console.error(`Error managing orders: ${error.message}`);
  }
}

/**
 * Step 6: Main Function to Run the Bot
 * 
 * Integrate all parts into a main function that initializes the grid and runs the bot in a loop.
 */
(async () => {
  try {
    const gridPrices = await calculateGridLevels(); // Calculate the initial grid levels
    await placeGridOrders(gridPrices); // Place the initial grid orders

    // Continuously manage orders
    setInterval(async () => {
      await manageOrders();
    }, 10000); // Check every 10 seconds
  } catch (error) {
    console.error(`Error running bot: ${error.message}`);
  }
})();

 

Also, Discover | Top 7 Most Popular Telegram Crypto Trading Bots in 2024 

 

Conclusion

 

In conclusion, developing a grid trading bot offers a strategic approach to navigating market fluctuations and optimizing trading opportunities. By setting precise grid levels and automating buy and sell orders, you can efficiently capitalize on price movements without needing constant manual intervention. This guide has outlined the key steps—from defining your trading strategy and configuring the bot to monitoring and managing orders. With practical examples and a clear framework, you now have the foundation to build and deploy your own grid trading bot. As you implement and refine your bot, remember to continually test and adjust your strategy based on market conditions to maximize performance and achieve your trading goals. If you are looking to develop crypto trading bots, connect with our skilled crypto bot developers to get started. 

Category: Blockchain
How to create Trading Signals using TradingView via Webhook

In the rapidly evolving financial markets, traders consistently seek out novel instruments and approaches to attain a competitive advantage. A favorite among traders, TradingView is a widely used charting program that offers a flexible environment for technical analysis. We explore the fascinating world of cryptocurrency development to create signals on TradingView and listen to them through webhooks in this blog. Signals can help traders automate their tactics and stay ahead of the competition.

 

Comprehending TradingView Alerts

 

With TradingView, users may create alerts based on custom script conditions, trendlines, and a variety of technical indicators. These alerts offer a practical approach to keeping up with market fluctuations by indicating possible entry or exit positions. 

 

Making TradingView Signals

 

Choosing Indicators: Make sure the technical indicators you use complement your trading approach. This could be any custom script you've written, moving averages, RSI, MACD, etc.

 

Defining Conditions: Give your signals particular conditions to meet. For instance, you could set up an alarm to sound when the RSI hits a specific level or when the price crosses above a given moving average.

 

To create an alert, go to TradingView's alert creation panel and enter the desired conditions. Indicate if the alert is triggered in real-time during the intrabar action or when the action closes.

 

Testing Alerts: Before depending on your alerts in real trading, it's vital to thoroughly test them. To make sure the alerts are triggering appropriately and in line with your plan, use historical data.

 

Suggested Read | Crypto Trading Bot Development | A Quick Guide

 

Using Webhooks to Hear Alerts

 

TradingView can interface with other systems using webhooks. You can automatically get alerts in real-time and respond to these signals by integrating webhooks.

 

Configuring Webhooks: Choose the platform or service on which you would like to receive alerts. Typical options include using your own server, third-party trading bots, or bespoke scripts.

 

Setting up TradingView Webhook URLs: Open TradingView's alert settings and enter the webhook URL that you obtained from your external system. This URL works as the endpoint where TradingView will deliver notifications when activated.

 

Managing Webhook Payload: Recognise the TradingView-sent payload structure. This contains details about the alert, like its symbol, duration, and the circumstances that led to its occurrence.

 

Check It Out | P2P Crypto Exchange Development | The Future of Digital Trading

 

Below is the sample code for how to create webhooks:

 

  • Create a module in Nest for signals webhook

 

export class SignalsController {
  constructor(private readonly signalsService: SignalsService) {}

  /**
   * Handles webhook events for a specific Vault.
   *
   * @param vaultId - The ID of the Vault for which the webhook event is triggered.
   * @param payload - The payload containing webhook data.
   * @returns A promise that resolves when the webhook event is processed.
   */
  @Post('/webhook/:vaultId')
  @ApiPublicAccess()
  @ApiOperation({
    summary: 'Handle webhook events for a specific Vault.',
    description: 'This endpoint is used to handle webhook events for a specific Vault based on the provided Vault ID.',
  })
  @ApiOkResponse({ description: 'The webhook event was successfully processed.' })
  @ApiDefaultErrorsResponses()
  @ApiDefaultHeaders()
  public async webhook(@Param('vaultId') vaultId: string, @Body() payload: WebhookInput): Promise<void> {
    await this.signalsService.signal(vaultId, payload);
  }
 }

 

  • Signal Service

 

export class SignalsService {
  /**
   * Creates an instance of the InvestsService.
   *
   * @param logger - The logger to use.
   * @param prismaService - Injected prisma service.
   */
  constructor(
    @Inject(LOGGER) private readonly logger: ILogger,
    private readonly prismaService: PrismaService,
  ) {}

  public async signal(vaultId: string, payload: webhookInput): Promise<void> {
    const vault = await this.prismaService.vault.findUniqueOrThrow({
      where: { id: vaultId },
    });

    this.logger.info({ payload }, `Run Signal for vault ${vaultId}.`);

    // process the trade usign the signal input or any tarde as per your need
  }
}

 

  • Signal Module

 

import { Module } from '@nestjs/common';

import { SignalsController } from './signals.controller';
import { SignalsService } from './signals.service';
import { VaultsModule } from '../vaults/vaults.module';

@Module({
  controllers: [SignalsController],
  imports: [VaultsModule],
  providers: [SignalsService],
})
export class SignalsModule {}

 

Now, go to the TradingView platform and attach your webhook.

 

https://www.tradingview.com/

 

Explore More | An Analysis of Crypto Options and Futures Trading Features

 

Conclusion

 

The provided code snippets offer a practical guide for configuring webhooks and handling signals. It facilitates a seamless interface between TradingView and external systems. If you are interested in developing such a feature, then connect with our crypto developers to discuss your project requirements.  

Category: Blockchain
How to Use IPFS with Ethereum

IPFS (InterPlanetary File System)

 

It is a decentralized Storage Solution. The powerful decentralized technology, when combined with a blockchain platform like Ethereum, offers an enhanced storage solution for blockchain applications.

 

Below are the steps to store/retrieve data from IPFS and add the IPFS key to Ethereum smart contract.

 

Step 1: - Install and Set Up IPFS

 

Start by installing IPFS on your local machine or use a public IPFS gateway. Follow the official IPFS documentation for installation instructions and configure your IPFS node accordingly. Ensure that your IPFS node is running and accessible.

 


Link: https://docs.ipfs.tech/install/ipfs-desktop/

 

Step 2: -Develop Smart Contracts:

 

Create your Ethereum smart contracts using Solidity, a popular language for Ethereum smart contract development. Define the necessary functions and data structures required for interacting with IPFS. Here's an example smart contract:

 

pragma solidity ^0.8.0;
contract IPFSSample {
    mapping(uint256 => string) private ipfsData;
    function storeData(uint256 key, string memory cid) public {
        ipfsData[key] = cid;
    }
    function retrieveData(uint256 key) public view returns (string memory) {
        return ipfsData[key];
    }
}

 

Step 3:  Store Data on IPFS:

 

To store data on IPFS, you can use the ipfs-http-client library in Node.js. Install it using npm with the following command:

 

npm install ipfs-http-client


Code snippet for storing data using NodeJs

 

const IPFS = require('ipfs-http-client');
const ipfs = IPFS.create();
async function storeDataOnIPFS(data) {
  const { cid } = await ipfs.add(data);
  return cid.toString();
}
const data = 'Hello, IPFS!';
storeDataOnIPFS(data)
  .then(cid => {
    console.log('Data stored on IPFS with CID:', cid);
  })
  .catch(error => {
    console.error('Error storing data on IPFS:', error);
  });

 

Step 4: Deploy Smart Contracts to Ethereum:

 

Compile your smart contracts using the Solidity compiler and deploy them onto the Ethereum network of your choice. You can use tools like Truffle or Hardhat for contract compilation and deployment. Once deployed, note down the contract address for future interactions.

 

You may also like to explore | A Definitive Guide to Smart Contract Development Tools

 

Step 5: Interact with Smart Contracts using Node.js

 

You can use the web3.js library. Install it using npm with the following command:

 

npm install web3

 

If you have a project in mind and want to get started with it, you may also connect with our skilled blockchain and smart contract developers

How to Create a Token Swap dApp

Token swaps specifically refer to the exchange of one token for another. This can occur on a DEX as a direct trade between two parties, where one party offers their token in exchange for another party's token. The swap is executed through a smart contract on the blockchain, which ensures that the transaction is secure and the tokens are exchanged correctly without the need for intermediaries or centralized authorities. As a result, they can be used for a variety of applications, including asset management, market-making, and liquidity management.

 

ERC20 is a standard for creating fungible tokens on the Ethereum blockchain. Fungible tokens are interchangeable and can be used for various purposes such as digital currencies, loyalty points, and asset tokens.

 

Token swaps are a type of trade that can occur on decentralized exchanges (DEXs), but they are not the only function of a DEX.

 

Now we'll go through the implementation of a basic token swap dApp on the Ethereum blockchain. We'll be using Solidity, a programming language specifically designed for Ethereum, and the Hardhat framework to set up our development environment. The smart contract we'll be building will enable users to exchange one ERC-20 token for another, based on a predefined exchange rate.

 

Creating a Token Swap dApp

 

Prerequisites:

 

  • Node.js (v12 or higher)
  • npm (Node.js package manager)
  • Hardhat
  • Basic knowledge of Ethereum and Solidity

 

// SPDX-License-Identifier: MIT

pragma solidity ^0.8.0;

 

import "@openzeppelin/contracts/token/ERC20/IERC20.sol";

import "@openzeppelin/contracts/token/ERC20/utils/SafeERC20.sol";

import "@openzeppelin/contracts/access/Ownable.sol";

 

contract TokenSwap is Ownable {

    using SafeERC20 for IERC20;

 

    mapping(address => bool) public tokens;

    mapping(address => mapping(address => uint256)) public exchangeRates;

    

    event Swap(address indexed _fromToken, address indexed _toToken, address indexed _user, uint256 _fromAmount, uint256 _toAmount);

 

function setExchangeRate(address _token1, address _token2, uint256 _rate1to2, uint256 _rate2to1) public onlyOwner {

  require(tokens[_token1], "Token not supported");

  require(tokens[_token2], "Token not supported");

  require(_token1 != _token2, "Cannot swap same token");

  exchangeRates[_token1][_token2] = _rate1to2;

  exchangeRates[_token2][_token1] = _rate2to1;

}

 

 

    function addToken(address _tokenAddress) public onlyOwner {

        require(_tokenAddress != address(0), "Invalid token address");

        tokens[_tokenAddress] = true;

    }

 

    function removeToken(address _tokenAddress) public onlyOwner {

        require(_tokenAddress != address(0), "Invalid token address");

        tokens[_tokenAddress] = false;

    }

 

    function swap(address _fromToken, address _toToken, uint256 _fromAmount) public {

        require(tokens[_fromToken], "Token not supported");

        require(tokens[_toToken], "Token not supported");

        require(_fromToken != _toToken, "Cannot swap same token");

 

        uint256 toAmount = _fromAmount * exchangeRates[_fromToken][_toToken];

 

        IERC20 fromToken = IERC20(_fromToken);

        IERC20 toToken = IERC20(_toToken);

 

        fromToken.safeTransferFrom(msg.sender, address(this), _fromAmount);

        toToken.safeTransfer(msg.sender, toAmount);

 

        emit Swap(_fromToken, _toToken, msg.sender, _fromAmount, toAmount);

    }

    function getExchangeRate(address _fromToken, address _toToken) public view returns(uint256) { 

require(tokens[_fromToken], "Token not supported");

        require(tokens[_toToken], "Token not supported");

        require(_fromToken != _toToken, "Cannot swap same token");

  return exchangeRates[_fromToken][_toToken];

}

}

 

setExchangeRate:

 

This function is used to set the exchange rate between two tokens. It can only be called by the owner of the contract and requires that the tokens being swapped are supported and that they are not the same token. The exchange rate is set in the exchangeRates mapping.

 

addToken:

 

This function is used to add a token to the list of supported tokens. It can only be called by the owner of the contract and requires a valid token address.

 

removeToken:

 

This function is used to remove a token from the list of supported tokens. It can only be called by the owner of the contract and requires a valid token address.

 

swap:

 

This function is used to swap one token for another. It requires that both tokens are supported and that they are not the same token. It also requires that the user has a sufficient balance of the fromToken to swap and that the contract has sufficient liquidity of the toToken. The swap is executed by transferring the fromToken from the user to the contract and then transferring the corresponding amount of toToken from the contract to the user.

 

getExchangeRate:

 

This function retrieves the exchange rate between two tokens, given their respective token addresses. However, it's important to note that this functionality can only be utilized if the platform supports both the _fromToken and _toToken.

 

To build the front end of the token swap dApp, we can use any web development framework or library like React, Angular, Vue.js, etc. The front should allow users to connect their wallet, select the tokens they want to swap, input the amount to be swapped, and execute the transaction by calling the swap function on the smart contract. To interact with the smart contract, we can use the web3.js or ethers.js library, which allows us to interact with the Ethereum blockchain from a JavaScript environment. We can use a web3 provider like Metamask to connect the front end to the blockchain. With this setup, users can seamlessly swap tokens on the blockchain through our dApp's user-friendly interface.

 

You may also like to read | Interacting with Ethereum Smart Contracts through Web3.js Library

 

If you already have a project in mind or want to discuss anything related to dApp development, you may connect with our skilled smart contract developer


 

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