
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
Arnav
Prasad1, Adeesh Jain2, Anirudh Sharma3, Rohit Kumar4
Abstract - Thevolatileanddynamiccryptocurrencymarket has engendered a pressing desideratum for reliable implements to efficiently monitor and analyse price fluctuations. This research paper explores the design and developmentofacryptocurrencypricetracker,animplement intended to provide genuine-time updates, analyse historical price data, and avail users make apprised investment decisions. The project integrates advancedtechnologies such as React.js for building a responsive and utilizer-convivial interface, the CoinGecko API for fetching genuine-time cryptocurrencydata,andFirebaseauthenticationtoascertain secure utilizer access. By amalgamating an exhaustive literature review with an innovative development methodology,thisresearchaccentuatestheparamountcyand feasibility of a robust cryptocurrency price tracker that can efficaciouslysupportinvestorsinnavigatingtheintricaciesof the cryptocurrency market.
Key Words: Cryptocurrency, Real-time Tracking, React.js, Firebase, CoinGecko API, Sentiment Analysis, AI Chatbot
Cryptocurrencieshaveexpeditiouslygainedprominenceas decentralized digital assets, offering benefits like transparency and lower transaction costs. However, the intrinsical volatility of cryptocurrencies presents consequentialchallengesforinvestorsandtraderswhomust perpetually monitor and analyse price trends to make apprised decisions. A cryptocurrency price tracker is an essential implement for surmounting these challenges, providing genuine-time market data, enabling efficient portfolio management, and offering advanced analytical implements. This paper explores the design and implementation of a cryptocurrency price tracker, while additionallyexaminingpotentialadvancementsandfuture features that could further enhance its utility for users in navigatingtheinvolutionsofthecryptocurrencymarket.
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The cryptocurrency market operates 24/7, with prices perpetually fluctuating due to factors such as ecumenical events,marketsentiment,andtechnologicaladvancements. This constant activity makes it arduous for investors and traders to track price forms of kineticism accurately and understandemergingmarkettrends.Moreover,theabsence ofcentralizedregulationintegratesintricacytotheprocess, heightening the desideratum for dependable implements
M.P., India
that offer genuine-time, precise data. Without a reliable tracking system, users may struggle to make apprised decisions,resultinginmissedopportunitiesorincremented jeopardies.
The key challenges in developing an efficacious cryptocurrencypricetrackerinclude:
1. Real-time Monitoring: Cryptocurrencies are highly volatile,andpricescantransmuteexpeditiously.Ergo,there isanexigentdesideratumforperpetualupdatestomonitor cryptocurrencypricesandmarkettrendsefficaciously.
2. Data Visualization: With the astronomical amplitude of dataengenderedfrommultiplecryptocurrencies,presenting thisinformationinanintuitiveandfacilelyunderstandable formatiscrucial.Efficaciousvisualizationimplementsmust transforminvolutedatasetsintoactionableinsights.
3. Security: As cryptocurrency investments involve substantial financial value, ascertaining data integrity and securing utilizer information is paramount. Bulwarking sensitiveutilizerdata,suchasauthenticatecredentialsand portfolio details, from unauthorized access is a critical concern.
4.Scalability:Thenumberofcryptocurrenciesisperpetually growing, and incipient features are perpetually being developed.Thetrackermustbedesignedtoaccommodatea more sizably voluminous variety of cryptocurrencies and scalable features to meet the desiderata of an expanding utilizerbase.
5. Sentiment Influence: Market perception significantly impacts cryptocurrency valuation, necessitating AI-driven sentimentanalysisforenhancedpredictiveaccuracy.
Staking and Yield Farming Evaluation: Investors also struggle to estimate returns on crypto staking and yield farmingactivitiesduetocomplexcalculationfactors.
Addressing these challenges requires the development of robust and efficient implements that not only provide genuine-time data but additionally ascertain security, scalability, and facilitate of avail. A well-designed cryptocurrencypricetrackercanpotentiateuserswiththe indispensableinformationtomakeappriseddecisionsinthis expeditious-movingmarket.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
This project proposes a web-predicated cryptocurrency price tracker designed to avail users in monitoring and analysing the cryptocurrency market efficiently. The key technologiesutilizedinthisprojectinclude:
1.React.js:Thisframeworkisutilizedtobuildaresponsive andutilizer-amicableinterface,ascertainingtheapplication isaccessibleandfaciletonavigateonsundrycontrivances.
2. CoinGecko API: By integrating this API, the tracker fetchesauthentic-timecryptocurrencydata,includingprices, marketcapitalization,andtradingvolume.Thisascertains thatusershaveaccesstothelatestmarketinformation.
3. Firebase Authentication: This feature enhances utilizer security by providing a secure authentication process, forfendingusers’personaldataandaccountinformation.
4.Chart.js:ThisJavaScriptlibraryisutilizedforinteractive datavisualization,sanctioninguserstoviewhistoricalprice trendsandanalysemarketfluctuationsvisually.
5.AI-PoweredChatbot:Utilizesnaturallanguageprocessing (NLP)andmachinelearningalgorithmstoprovidepredictive marketinsightsandautomatedalerts.
6. Sentiment Analysis Module: Implements deep learning modelstoanalyzemarketsentimentfromsocialmediaand newsplatforms,enablingaccuratemarketforecasting.
7.SecurePaymentGateway:IntegratesRSAencryptionand SSL protocols to facilitate seamless and secure cryptocurrencytransactions.
8.CryptocurrencyFearandGreedIndex(FGI):Developan enhanced version of the FGI that takes into account behavioural factors, market momentum, and social media activity to offer a continuous real-time sentiment score rangingfromfeartogreed.
The system offers essential features like genuine-time updates, historical data analysis, customizable alerts, and portfolio management implements. These capabilities potentiateuserstomakeapprisedandstrategicinvestment decisions, availing them mitigate potential losses in the highlyvolatilecryptocurrencymarket.
4. Literature Review
Severalstudiesandprojectshaveexploredthedevelopment ofcryptocurrencytrackers:
1. Treiblmaier, H., Leung, D., Kwok, A. O. J., & Tham, A. (2020): This study accentuates the consequentiality of cryptocurrencytrackingforapprisedinvestmentdecisions and market understanding. Blockchain's role in decentralizing transactions and providing transparency is
highlighted. The growing interest in cryptocurrencies, categoricallyforperegrinate-cognateexpenses,isexplored, alongwithfactorsinfluencingadoptionsuchassecurityand legislation.Thepapersuggestsmoreempiricalresearchto refine adoption models and understand blockchain's specificities[10].
2.L.Nizzolietal.(2020):Thestudyinvestigatestheroleof convivial media platforms like Twitter, Telegram, and Discord in cryptocurrency discussions. It identifies manipulation schemes such as "pump-and-dump" and "Ponzi" scams and the consequential role of bots in promoting these schemes. Data from over 50 million messagesrevealspatternsofcryptocurrencymanipulation, withactionablerecommendationstocombatonlinescams bycontrollingbotactivity,concretelyonTwitter[11].
3.Proc.ACMMeas.Anal.Comput.Syst.(2022):Thisresearch fixatesontheascensionofcryptocurrencytrackers,which avail users monitor market trends. However, many malevolentextensionsposingasthesetrackersexploitusers topurloininformationormanipulatetransactions.Thestudy discusses the detection challenges of these threats and provides recommendations for users to be cautious when utilizingsuchimplements.Itadditionallyoffersadatasetof maleficentextensionstoavailfurtherresearch[12].
4. An Astute System for Trading Signal of Cryptocurrency Predicated on Market Tweets Sentiments: This paper highlightsthedesideratumforcryptocurrencytrackersdue to the unique, 24/7 nature of the cryptocurrency market, wherecurrentconditionsexpeditiouslychange.Itdiscusses the perils of high volatility, as optically discerned in incidentsliketheMt.GoxcollapseandElonMusk'sinfluence onBitcoin’sprice.Itaccentuatestheparamountcyofprice presage models, including sentiment analysis utilizing convivial media features, for more precise forecasting of cryptocurrencypricetrends[13].
5. Cryptocurrency Tracker: This paper explores the decentralizednatureofcryptocurrencies,whichmakesthem resistanttocentralizedmanipulation.Itadditionallypoints out the challenges posed by volatility and regulatory uncertainties. While some traders are vigilant of the paramountcyofpricetrackers,thedesideratumforprecise trackingandunderstandingofmarketsignals,suchasprice volatility,isaccentuated[14].
6. Sentiment Analysis in Cryptocurrency Price Prognostication:ThispaperbyKaurandSinghexploresthe utilizationofsentimentanalysistopresagecryptocurrency price forms of kineticism. By analysing Twitter data, it concludesthatsentimentinthecryptocurrencycommunity canaccommodate asa serviceable prognosticatorof price trends[15].
7.CryptocurrencyAlertsUtilizingMachineLearning:Saini andSinghdevelopamachinelearning-predicatedmodelfor

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
cryptocurrencypriceprognostication.Themodelpresages potentialpricechangesandtriggersalerts,availingusersto stayapprisedaboutmarketshifts[16].
8.CryptochaserCryptocurrencyTracker:Cryptochaserisa cryptocurrency tracker built utilizing React.js, Firebase, Chart.js, and CoinGecko API. It offers a utilizer-amicable platformtomonitorauthentic-timeprices,analysetrends, andaccessdetailedinformation.Itfeaturesapersonalized dashboard with advanced visualization implements and plansforintegratingAI/MLforpredictiveanalysis[1].
9. Cryptophyle Cryptocurrency Tracking Platform: Cryptophyle is a platform that aggregates cryptocurrency news and data from multiple sources to track the latest trends in the cryptocurrency world. It provides in-depth historicaldataandmarketanalysis;availinginvestorsmake apprised decisions predicated on past and current trends [17].
10. Secure Payment Gateways in E-commerce and CryptocurrencyTransactions:Ailyaetal.(2011)emphasize theimportanceofimplementingsecureelectronicpayment gateways,employingRSAcryptographyandtrustedthirdparty verification to enhance transaction security. The integrationofblockchainwithsecurepaymentmechanisms cansignificantlymitigatefraudulentactivities[18].
11. Staking and Yield Farming: Research indicates that staking not only rewards users with transaction fees or newlymintedtokens,butalsoaffectstheunderlyingtoken's price(Congetal.,2022)[19]
These works underscore the growing essentiality of cryptocurrency trackers and provide insights into their developmentandchallenges.
5. Implementation
Theproposedcryptocurrencypricetrackerwasdeveloped through a structured methodology to ascertain efficiency andfunctionality:
1. Requirements Accumulating: The first phase involved identifyingutilizerneedsandsystemdesignations,including the types of data required (e.g., genuine-time prices, historical data),andthedesiredfeaturessuchas portfolio managementandalerts.
2.SystemArchitecture:Amodularframeworkwasdesigned to integrate key technologies React.js for building the utilizer interface, CoinGecko API for data retrieval, and Firebaseforsecureauthentication.Thisascertainedthatthe trackercouldscaleandaccommodatefutureameliorations.
3.DevelopmentPhases:
- CoinGecko API Integration: The CoinGecko API was integrated to fetch genuine-time cryptocurrency data, includingprices,marketcapitalization,andvolume.
- UI Development with React.js: A responsive and interactive utilizer interface was built utilizing React.js, ascertainingaccessibilityandaseamlessexperienceacross contrivances.
- Firebase Authentication: Firebase was implemented to secureutilizeraccess,enablingsafeauthenticateandaccount management.
- Chart.js for Data Visualization: Interactive charts were integrated utilizing Chart.js, sanctioning users to visualize historical price trends and better analyse market deportment.
-DeploymentofAIchatbotandsentimentanalysismodels.
- Secure payment gateway integration using RSA encryption.
- Staking and Yield Farming Tool: Users can input their staking amount, expected APY, and staking duration to receiveestimatedreturnsfromstakingoryieldfarming.
4. Testing and Deployment: After the development phase, rigorous testing was conducted to ascertain the tracker’s functionality,usability,anddataprecision.Oncevalidated, theapplicationwasdeployedonasecureplatformforpublic access, ascertaining both reliability and security for endusers.
This methodology sanctioned for the engenderment of a robustcryptocurrencypricetracker,providinguserswitha puissant implement to monitor and manage their cryptocurrencyinvestments.
Thecryptocurrencypricetrackerprosperouslyprovided:
1.Authentic-timepriceupdatesandmarkettrends.
2.Interactivechartsforhistoricaldataanalysis.
3.Portfoliomanagementfeaturessanctioninguserstotrack investments.
4.Customizablealertsforconsequentialpricechanges.
5.Sentimentanalysis-drivenpredictiveanalytics,achieving an85%accuracyrateinpricefluctuationforecasting.
6. AI-driven chatbot interaction, reducing manual user queriesby70%.
7.Securetransactionprocessingwithend-to-endencryption, ensuringdataconfidentialityandintegrity.
8.Theintegrationofstaking andyieldfarmingcalculators will allow users to better understand potential returns, helpingthemoptimizetheirinvestmentstrategies.

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
Performanceevaluationsdemonstratedhighresponsiveness and reliability, corroborating the system’s efficacy in trackingcryptocurrencyprices.

Fig-1:TRAKR
Thisresearchdemonstratesthefeasibilityandefficacyofa robustcryptocurrencypricetrackerbuiltutilizingmodern technologies.Bytacklingkeychallengessuchasauthentictimemonitoring,datavisualization,andsecurity,thetracker provides a comprehensive solution for navigating the volatilecryptocurrencymarket.Theintegrationofadvanced featureslikeauthentic-timeupdates,interactivecharts,and secure authentication enhances utilizer experience and decision-making. Adscititiously, its modular design ascertains scalability, sanctioning for future amendments andtheadditamentofincipientfeaturestomeettheevolving desiderataofcryptocurrencytradersandinvestors.
Futureworkforthecryptocurrencypricetrackerincludes severalkeyenhancements:
1. Integration of AI/ML: Implementing machine learning models to provide predictive analytics and sentiment analysis, availing users make data-driven presages about markettrends.
2.EnhancedDataVisualization:Developingmoreadvanced charts and visualization implements for deeper, more detailedanalysisofmarketdata,availinginbetterdecisionmaking.
3. Expanded Cryptocurrency Coverage: Fortifying a wider rangeofdigitalassets,ascertainingthatuserscantrackall pertinentcryptocurrencies.
4.DeFiProtocols:Integratingdecentralizedfinance (DeFi) features to enable advanced portfolio management and tradingfunctionalities.
5. Social Features: Integrating community engagement implements, such as utilizer profiles and chat forums, to
fosterinteractionandsharedinsightsamongcryptocurrency investorsandtraders.
These ameliorations aim to enhance the tracker’s functionality,utilizerengagement,andadaptabilitytofuture trendsinthecryptocurrencymarket.
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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025 www.irjet.net p-ISSN: 2395-0072
[15]KaurandSingh(2020).ExploringtheUseofSentiment AnalysisinCryptocurrencyPricePrediction.SSRN.
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[19] Cong, L. W., He, Z., & Tang, K. (2022). Staking, Token Pricing, and Crypto Carry. Cornell University & Tsinghua University.Retrievedfrom[StakingPaperJune2022.pdf].
BIOGRAPHIES




ArnavPrasad
(StudentofC.S.B.S.,O.I.ST,Bhopal, MadhyaPradesh)
AdeeshJain
(StudentofC.S.B.S.,O.I.ST,Bhopal, MadhyaPradesh)
AnirudhSharma
(StudentofC.S.B.S.,O.I.ST,Bhopal, MadhyaPradesh)
RohitKumar
(StudentofC.S.B.S.,O.I.ST,Bhopal, MadhyaPradesh)