AI LIVE TRENDING

Good day! My name is Valentin, and I represent Arctic Web Agency. We are a team that specializes in creating modern and effective solutions for businesses. I can provide examples of our similar work in personal messages. We are ready to take your project to work!

Sincerely,
Arctic Web Team
Freelancehunt

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Hello. The stack you described (FastAPI plus PostgreSQL plus Redis on the backend, Next.js plus Tailwind plus shadcn/ui on the frontend, Binance Futures, Docker, Cloudflare, GitHub Actions) matches my profile. I have already developed trading bots for Binance, Bybit, Huobi, and KuCoin for private clients and independently.

What is important to discuss honestly before starting. A working model with a real win rate, ROI, and live PnL in the dashboard are two different layers: infrastructure (I am responsible for this) and trading strategy plus signal generation (this is a separate large task, with market risks). I am ready to create the complete infrastructure part with a flexible slot for the strategy—so you can plug in your own model or a ready one with market structure plus volatility scoring, and it will work 24/7 with guaranteed execution reliability.

What is included in the scope from my side. Backend on FastAPI with REST plus WebSocket for real-time push to the dashboard. An engine for executing trades via python-binance or through direct signatures on the Binance Futures API with rate-limit handling and reconnect. Storing trade history, open positions, PnL in PostgreSQL with materialized views for quick metrics. Risk management layer (Conservative/Medium/Aggressive in your terminology) is a separate module with stop-losses, max drawdown, and position sizing. Frontend on Next.js with all the panels you listed (Dashboard, AI Panel, open positions, history, AI status with win rate and ROI).

What I CANNOT promise. Guaranteed profitability of the strategy and specific win rate is unfair from any developer's side, even if the strategy is good in backtest. I can only guarantee the precise execution of your algorithm without intermediate losses and transparent metrics of its real performance.

A few questions to better assess the scope. Is the signal strategy already mathematically described/code available, or will we design it together? How many simultaneous pairs and timeframes (1m/5m/15m) — this affects the load on the infrastructure. Hosting — your VPS, my selection, or cloud?

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One of our projects is the Crypto AI Mini App for Telegram.

A modern AI tool for analyzing the cryptocurrency market right inside Telegram.

What has been implemented:
- Auto-scanner for active coins
- AI signal analysis
- Multi-timeframe analytics
- Volume heatmap
… - RSI and trend analysis
- Signal history
- Convenient mobile-first interface

Users receive complete analytics and trading tools without the need to install separate applications — everything works within Telegram.

We create Telegram Mini Apps, AI services, CRM, and digital solutions turn-key.

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Hello! I will complete your task quickly and efficiently. I will create the bot you need with a panel.

My recent works
https://florist-map.vercel.app
https://indexfast.pp.ua
https://monitortest.pp.ua
https://mamamia.pp.ua

My portfolio: https://freelancehunt.com/ua/freelancer/romas6ka.html#portfolio
… Message me, I will start working today. I look forward to collaborating with you!

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Welcome! For 4 years, our team has been creating automated algorithms, analytical platforms, and interactive interfaces. We clearly understand the specifics of building live monitoring systems and are ready to create a stable platform for trend analysis based on artificial intelligence for you.
In our work, we combine the analytical capabilities of Python on the backend with the speed of modern interfaces on TypeScript. Our experience in bot development and data parsing allows us to build high-load architectures that accurately read market indicators and instantly transmit data to the dashboard.
Send us the details regarding the evaluation model in private messages, and we will propose a ready-made step-by-step integration plan.

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Welcome! Our team has been developing complex analytical systems, data parsing tools, and artificial intelligence solutions for 4 years. We are ready to implement a robust hybrid AI system for tracking market trends and volatility turn-key.
We have deep experience with Python for building evaluation models and processing streaming data. The frontend part of the dashboard will be deployed using TypeScript and JavaScript for quick and smooth updates of PNL, open positions, and charts. We will pay maximum attention to cybersecurity and data protection to ensure secure operation with APIs and internal logic.
We are ready to discuss the evaluation mathematical model and data sources. Please write to us in private messages for a technical breakdown.

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Good day. There is already some work done, I can show the project and refine it according to your requirements.

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Hello! I have reviewed your project and am ready to start working. I can guarantee excellent results in a short time.

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Hello, I haven't specifically worked on a futures trading system, but I have experience in writing other systems.

If you're interested, we can chat privately, discuss the project, and I can suggest how it can be implemented and I will do it.

I am ready to start immediately.

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Your stack is well assembled; I work with it daily: FastAPI + PostgreSQL + Redis on the backend, Next.js + Tailwind + shadcn on the frontend. For the past year, I have been running my own SaaS platform on this stack, with AI bots integrating external APIs (webhooks, async queues, multi-tenancy), so I know the reality of "it needs to work 24/7 without downtime" from experience, not from tutorials.

Briefly about the task:

- Binance via websocket (candles, volatility) + REST for orders
- AI module will be developed as a separate service to retrain or change parameters without stopping trading
- Dashboard for beginners: large numbers, minimal jargon, three risk profiles switchable with one click

Approximately 18,000 UAH, 2-2.5 weeks.
…
One question for now: is the strategy for the AI already formed (indicators, entry/exit rules), or will we be building it together from scratch? This affects the timelines and the scope of backtesting.

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Hello, Vitaliy!

The topic of AI trading is currently very relevant, and your stack (Next.js + FastAPI + Redis + Binance API) is perfectly suited for high loads and real-time data processing. I have experience in developing complex web interfaces and working with asynchronous Python, so I am very interested in implementing this project.

Here’s how I envision the implementation of your platform:

Backend (FastAPI + Redis + PostgreSQL): * Setting up asynchronous interaction with the Binance API (futures, working through websockets for instant receipt of candles and volatility).

Integration of your AI market evaluation model into the overall pipeline so that the analysis works 24/7 without interruptions.
…
Task queues via Redis for stable signal processing.

Frontend (Next.js 14 + shadcn/ui):

Creating a responsive dashboard for beginners: charts, balance, current PNL (interactive indicators), open positions, transaction history, and AI operation status.

User-friendly AI control panel: switching risk modes (conservative/medium/aggressive), setting leverage, risk management (% of deposit), and pairs.

DevOps: Containerization of the entire application (Docker-compose: api, frontend, db, redis) and setting up auto-deployment on VPS via GitHub Actions.

Regarding cost and timelines:
The project is large-scale and commercial, so it’s best to calculate the final amount and timelines after detailed discussion (for example, whether the mathematical model/AI strategy is already ready or if it also needs to be integrated/extended). I initially estimate an amount starting from [specify your amount, e.g., 40,000 UAH] and about 25-30 days of step-by-step development with demonstrations of intermediate results.

I am ready to discuss the architecture in private messages or have a call. Let’s create a cool and stable product!

Best regards, Ivan.

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Hello.
Interesting project, I did a similar project for myself, betting on polymarket.
Data >> run through news (NEWS api) >> LLM decides which bets to keep >> bet.
Binance officially allows trading via API.
I am ready to develop the entire technical side of the project, if you have a strategy that we will embed in the AI, or I can help develop it, but I cannot guarantee profit.

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Hello! We are a team with 4 years of experience in IT - we work in pairs, which allows for rapid development and full control over the project - we can implement an AI trading system using Next.js + FastAPI + PostgreSQL + Redis with Binance API integration, 24/7 operation via Docker + VPS and CI/CD - dashboard: balance, PNL, transactions, win rate, ROI, AI status, risk panel (modes, leverage, pairs) - timeframe 2-3 weeks.

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Hello. I write bots for cryptocurrency exchanges in PHP. I can show demo examples of working bots. Now about AI, if you have AI that generates signals, contact me and I will connect it. If not, but you hope that someone will offer it to you, then that is false hope.

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The task is clear: a hybrid AI system for futures trading on Binance with a dashboard for beginners and 24/7 operation.

The stack matches what I work with: Next.js + shadcn/ui on the front end, FastAPI + PostgreSQL + Redis on the back end, Docker + Cloudflare + GitHub Actions for deployment. The AI part is a scoring model based on market structure + volatility, with three risk modes.

The estimated duration is 4–6 weeks depending on the depth of backtesting and the number of pairs.

Which pairs do you plan to trade, and is there already a strategy/logic for the AI, or does it need to be built from scratch?

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