AI Crypto Trading Web App

@kamran2012

This looks like a great fit, Hi, I will deliver your AI crypto trading app with FastAPI backend, React frontend, and embedded TradingView charting. You get the EMA 20/50 crossover strategy with RSI, MACD, and Volume overlays, plus the Risk/Reward and Position Size calculators sitting right beside the chart. The Trade Journal with AI screenshots, equity curve, and full 10 year backtesting will hit your under 20 seconds benchmark for BTCUSDT. On a similar trading dashboard, staging the TradingView widget data against the API calculations early caught discrepancies before they compounded, keeping final accuracy well within 0.1%. Questions: 1) For the admin dashboard, do you already have a user auth preference (JWT, OAuth) or is that open? 2) Will you supply historical OHLCV data, or should I pull from Binance/exchange APIs directly? Ready to start whenever you are. Kamran

@vishal1145

Your backtesting engine will choke if you're calculating 10 years of tick data client-side without vectorization. That's 3.6 million candles on BTCUSDT alone, and React will freeze the UI thread. You need server-side NumPy arrays with pre-computed indicator caches or your 20-second target becomes 4 minutes. Quick questions - are you planning to stream live price updates via WebSocket or polling REST endpoints? And what's your expected concurrent user load once this goes live? Here is the architectural approach: - FASTAPI + REACT: Build a WebSocket pipeline for real-time TradingView data sync, with Redis caching to hit your sub-20s backtest requirement across 10-year datasets. - BACKTESTING: Implement vectorized NumPy calculations for EMA/RSI/MACD on the backend, then serialize results as JSON to avoid recalculating indicators on every chart render. - DATABASE MANAGEMENT: Use PostgreSQL with TimescaleDB extension for time-series storage, partitioned by symbol and date range to keep query times under 200ms even at scale. I've built 2 production trading platforms that processed $40M+ in daily volume without a single downtime incident. Let's schedule a 20-minute technical call to map out your data pipeline before you commit to infrastructure costs.

@santoshkumars17

As a seasoned Full Stack Developer with a proven track record of over 5 years, I have the expertise and enthusiasm required to embark on the challenge that your AI Crypto Trading Web App presents. My skills in HTML, JavaScript, and especially React.js – complemented by my proficiency in the FastAPI stack – put me in a unique position to create exactly what you're envisioning: a sleek, mobile-responsive interface that comes packed with enhanced functionalities integrated from TradingView and more. One aspect that stands me apart is that I don't just build but continuously improve and optimize. I utilize efficient coding practices to ensure clean code that’s easy to maintain, which is vital for your complex and expansive project. On top of offering on-time delivery and clear communication, I also emphasize incorporating UI/UX as it's crucial for facilitating user-friendly processes through all the intricate details of your application. Allow me to assure you that with me on board, you can expect utmost precision. So you won't just get any "20/50 crossover strategy" but one that matches TradingView results flawlessly. Historical back-testing spanning 10 years will deliver swiftly maintaining high-level accuracy. With my approach, I expect we'll be able to not just fulfil but exceed all acceptance criteria you've outlined. Let's join hands and dive right into crafting this cutting-edge app!

@techsty2014

Hi there, We will build your AI crypto trading platform: FastAPI backend, React frontend, embedded TradingView charting, and a full backtesting engine. For the 10-year backtest speed target, we will precompute indicator arrays (EMA, RSI, MACD) in NumPy and cache results per symbol. This keeps BTCUSDT runs well under 20 seconds. The equity curve and stats (Sharpe, max drawdown, win rate) will render from the same cached dataset. A couple of quick things to confirm: 1) Will you provide the historical OHLCV data source, or should we integrate a specific API (Binance, CoinGecko)? 2) For the AI screenshot and journal feature, do you want local storage or cloud (S3)? The number quoted here is a starting estimate. The exact cost and timeline will be confirmed after we go through the full scope together. Send me a message and we can go over the details. Best regards, Faizan

@Jennycreation

hello sir , i have 17 year experience tech industry i already work on many Cryptocurrency trading system . i can show you demo also and can do as per your requirement. We already Develop c# based Copy Trading software for crypto Exchange API Binance ,Bybit API and MT4 and MT5. in this software we can copy all master client Trades to All child clients. in this we also do Arbitrage trading from Binance To Bybit and Viceversa. software will use the official Binance And Bybit API. i can show demo for you. let me know your response. i have very good experience in Crypto project come on chat so that i can show my work on Crypto.. i can start work from right now i already built trading plateform where i use Zerodha/Alice blue/Angel/Profitmart api for trading order, buy/sell, square off possition /margin etc feature. we also did automated trading using amibroker csv file. let me know i can show you demo.

@iimtpradeepdash

Back-testing ten years of intraday data in under 20 seconds is the main technical hurdle. I’d parallelize indicators in the backend and cache pre-processed results for typical symbols like BTCUSDT/ETHUSDT, keeping the API fast. Chart overlays, signal plotting, and calculator tools are all built for instant UI feedback—React lends itself to that. I’ve shipped financial dashboards and performance-oriented web tools before, with React for the front and Node.js or GoLang on the backend, integrating external charting like TradingView. I don’t ship Python/FastAPI myself, but my stack is familiar with this class of data work. Is the TradingView widget running in client-side React, or does your current stack require server-side rendering? That changes the integration plan. If you want a full-stack web/mobile build, I use React.js and Node.js/Express, with secure role logic and clean code in a private repo. Pradeep

@techmadigital

Hi, If you want a production-ready crypto trading platform instead of just another trading dashboard, let’s connect. I’m a Full Stack Developer with 10+ years of experience. I’ve developed AI-powered trading platforms, copy trading systems, backtesting engines, broker API integrations, and real-time trading dashboards. I can also show you similar trading platforms on chat. * Built for speed, accuracy, and long-term scalability. * TradingView-level calculations with optimized backtesting. * AI-powered trade analysis, journaling, and performance reporting. * Clean architecture with complete source code and documentation. Let’s talk on chat. I’d be happy to show you similar trading systems and discuss the best architecture before we begin. Thanks, Nikhil Preferred & Verified Freelancer | 5 Star Rating | 100% Project Completion

@prabhathk5

Hi Sir, I’m Prabhath — an MQL4/MQL5, Pine Script, Python, and C++ developer with strong experience in building trading systems, advanced studies, and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5 and TradingView. As an active trader, I work with concepts like ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic. I build EAs and indicators that follow precise rules and match the user’s trading methodology perfectly. My expertise includes: Institutional-grade EA and indicator development ICT/SMT-based trading systems Pine Script indicators and automated strategies Python tools for data analysis, signals, and external integrations C++ modules for high-performance components Backtesting, forward testing, and full strategy optimization Strategy development, refinement, and consulting Once we discuss your project and you select me as the developer, I prefer a short call to confirm all details before starting. This ensures perfect clarity and avoids misunderstandings. I fix and optimize existing trading code by removing errors, correcting logic issues, and making your EA/indicator/bot stable and production-ready. Thank you.

@bridgestonetech1

Hi, We can build your AI-assisted crypto trading and back-testing platform using FastAPI + React + TradingView, with a strong focus on performance, accuracy, and scalability. We'll implement the EMA 20/50 strategy with RSI, MACD, and Volume overlays, advanced back-testing, risk/reward calculators, AI-powered trade journaling, secure role-based authentication, and a comprehensive admin dashboard. The application will be fully responsive, optimized for desktop and mobile, and delivered with clean, well-documented, production-ready code. We'll also prioritize the key acceptance criteria, including TradingView-level calculation accuracy, fast back-testing performance, Lighthouse optimization, and complete deployment documentation. Let's discuss your AI workflow, historical data source, and deployment preferences. We can share similar fintech/trading projects and provide a detailed architecture, milestone plan, timeline, and cost estimate.

@akki4395

Hi there, Your specification reads like a trading platform rather than a dashboard, and the success of the project will depend on building a reliable analytics engine before focusing on the interface. The architecture I'd recommend centers on FastAPI for high-performance API services and React for a responsive front end, with TradingView embedded for chart visualization while keeping all strategy calculations server-side to ensure consistency. The EMA crossover strategy, RSI, MACD, volume analysis, risk calculators, and backtesting engine should share a common calculation layer so live signals and historical testing always produce matching results. For the AI functionality, trade screenshots, journal entries, equity curves, and performance summaries can be generated as modular services, making future strategy additions straightforward without affecting the core platform. Before finalizing the roadmap, I'd like to discuss your preferred historical market data source, AI model selection, and whether exchange connectivity for live trading is planned after the MVP. Thanks, Akshay

@tamannarajput18

Hi, Your project aligns well with our expertise in Python, FastAPI, React, AI integrations, and financial analytics. We can build a scalable, production-ready crypto trading platform with a strong focus on performance, accuracy, and clean architecture. Our approach includes: FastAPI backend with a React-based responsive dark UI optimized for desktop and mobile. TradingView integration supporting BTCUSDT, ETHUSDT, SOLUSDT, and custom symbols. Pre-built EMA 20/50 strategy with RSI, MACD, Volume overlays, and real-time Buy/Sell signals. Integrated Risk/Reward and Position Size calculators. High-performance 10-year backtesting engine with detailed analytics including equity curve, win rate, Sharpe ratio, maximum drawdown, and total return. AI-powered trade journal with automatic chart snapshots and analysis history. Secure authentication with Admin and User roles, plus an admin dashboard for managing users, symbols, and application settings. Clean, documented, production-ready code managed through Git with comprehensive deployment documentation. We'll prioritize optimized API performance, accurate trading calculations, responsive UI, and extensive testing to meet your performance targets, including sub-20 second backtests and a Lighthouse score above 90. I'm available to discuss the project in detail, finalize milestones, and begin development immediately. I look forward to working with you.

@Anika1802

Hey! My name is Vandini and in my 6+ years as a seasoned full-stack developer, I've specialized in creating powerful, dependable, and scalable digital products. Sailing through more than 80 successful projects globally, I assure you I possess the expertise necessary to bring your vision for the AI Crypto Trading Web App to life. Commanding a strong skill set in relevant technologies such as React.js, Python, and HTML5 as described in your project needs; combined with my understanding of complex financial analysis and pattern recognition required for trading applications - I'm confident that I can hit every mark outlined in your project description accurately and efficiently. Moreover, my professional approach centers on clean architecture, robust design, and efficiency with an aim towards longer-term success. In line with this, my code is always clean, documented, optimized and production-ready - MVPs validate early ideas quickly & a clearer roadmap for future development. Through my strong communication skills coupled with your explicit acceptance criteria, we will ensure that this becomes another skillful commendation from another happy client. Let's connect and bring this game-changing project to life!