Transaction Manager

@bcosley

Hi, You're building a secure manager that connects to multiple exchanges, streams trades in real time, and keeps auditable records. That pattern shows up in crypto tooling for traces and compliance reporting. I’ve built crypto-data pipelines and real-time trade logging with PostgreSQL. I’d start by validating the current trade flow and exchange connections, then isolate unstable paths and implement a minimal path. From there, I’d normalize incoming data, wire up a small CLI/dashboard to surface balances, fills, and a CSV export, and bake in tests. Handling API rate limits and signing for two exchanges in tandem can surface flaky retries. What two exchanges should be integrated first, and should I expose per-trade, per-order, or both records in the export? Should the UI be CLI-first with a small web dashboard, and do you have hosting constraints (Docker, OS, or deployment environment)? If we're aligned, I’d be happy to walk you through the implementation plan before we get started. Best regards, Brandon

@ravichedwal

As an experienced and reliable Full Stack Developer with over 8 years in the software industry, I am well-versed in API Integration, PostgreSQL, and Python - essential skills that your project requires. My previous work includes several successful projects in database management using PostgreSQL and integrating APIs across different platforms. My familiarity with cryptocurrency exchanges and their APIs makes me uniquely qualified to provide a streamlined solution for your transaction management needs. Having worked on similar projects in the past, I understand the value of real-time tracking and secure data storage - ensuring that you have easy access to all the transaction details in a format of your choice, while maintaining top-tier data security.

@technologiesit

As an expert Full Stack Developer and AI Solutions Specialist with a whopping 8+ years of experience under my belt, I have not only developed robust solutions but have also engineered milestones in numerous projects similar to yours. Let me assure you, that your search for a Transaction Manager is over! My comprehensive skillset includes proficient use of Java and Python alongside deep dived knowledge in Software Architecture. These skills make your project an easy fit for me. Moreover, since you're working with Python and PostgreSQL, which happen to be the core skills in my stack, I can ensure a seamless integration within your existing structure, thus promoting easy deployments. My dedication to clean code, smart architecture, and a results-driven mindset will certainly be of great value to this project. Also, I've successfully built API integrations as well as transaction tracking dashboards in the past, which would serve as a reliable reference during our journey together. So let's take off through this cryptocurrency exchange management expedition expertly and successfully! Let's talk details today!

@jonasdedzo

Hi there, I can build a secure transaction manager around Python and PostgreSQL that keeps exchange activity synchronized, normalized and fully auditable. I’ll integrate at least two selected crypto exchanges using their REST/WebSocket APIs, with HMAC-SHA256 signing, strict API-key handling and permission-aware configuration. The system will capture fills and order events in real time, normalize them into a clean PostgreSQL schema, and preserve timestamps, exchange IDs, symbols, quantities, prices and fees for reliable historical reporting. I’ll add a lightweight CLI or web dashboard for live balances, filled orders and trade history, with CSV export by date range. The project will include migrations, unit tests for authentication, parsing and transaction handling, error/reconnection logic, and a concise README for deployment and configuration. I’ll keep the architecture modular so additional exchanges can be added later without rewriting the core transaction layer. Looking forward to work with you. Thanks

@LeadForce1

Hi, I'm Luigi from Toronto. "Python + PostgreSQL Crypto Transaction Manager — Exchange APIs, Live Dashboard, CSV Export" — you need to track trades across exchanges with a secure, auditable record. I'll build a Python application that connects to at least two exchanges via REST/WebSocket APIs, using HMAC-SHA256 signing and secure key storage. Trades captured in real time, stored in a normalized PostgreSQL schema with migrations. CLI or lightweight web dashboard showing live balances, filled orders, and trade history. CSV export by date range. Unit tests included. Do you have a preferred exchange (Binance, Coinbase, Kraken) and API keys ready? Looking forward to working with you. Luigi Tady

@longngoc2307

Perfect Match "CRYPTO TRANSACTION MANAGER" — you need exchange trades captured reliably in real time with a clean audit trail. I’d use Python with PostgreSQL, using each exchange’s REST/WebSocket API and HMAC signing for authenticated requests. I’d normalize trades into one schema while keeping exchange-specific IDs, timestamps and fees intact, so CSV exports remain auditable and duplicate WebSocket events don’t create duplicate trades. Which two exchanges should be supported first, and do you need the first version as a CLI or a small web dashboard?

@Appworldz

I’ve built crypto transaction trackers around exchange REST/WebSocket APIs, with the important bits handled properly: signed requests, WebSocket reconciliation, idempotent trade capture and secure key handling. I’d use Python + PostgreSQL, with encrypted environment-based credentials, HMAC-SHA256 signing, async WebSocket listeners, normalized migrations, and a lightweight CLI/dashboard for balances, fills and CSV exports. Unit tests will cover signing, parsing, reconciliation and persistence. Timeline: 5–7 days Fair estimate: $600–$750 USD Share the two exchanges and I can confirm their API specifics before implementation.

@codeandcommand

Multi-currency transaction tracking gets messy fast once you factor in exchange rate syncing and reconciliation across exchanges. I would set this up on PostgreSQL with a Python backend, REST endpoints for each exchange API, and a clean reporting layer on top. Can start today, working version in 4 days. These numbers are based on the post as written, we can firm them up once we go through your exact exchange list and reporting needs. Want me to send a quick scope doc so we can get moving?

@MuhammadAsad108

I deliver 100% work — 99.9% is not for me. Workflow Diagram Exchange APIs ⟶⟶ Secure Authentication ⟶⟶ REST/WebSocket Streams ⟶⟶ Trade Normalization ⟶⟶ PostgreSQL ⟶⟶ Live Dashboard ⟶⟶ CSV Export ⟶⟶ Testing & Deployment Key Highlights • Build a secure Python-based transaction manager integrating at least two selected cryptocurrency exchanges. • Implement REST + WebSocket connections for live balances, orders, fills, and historical trade synchronization. • Handle HMAC-SHA256 signing, timestamps/nonces, rate limits, retries, reconnects, and exchange-specific API errors. • Store credentials securely through environment/secrets configuration with no API keys hard-coded or exposed in logs. • Design a normalized PostgreSQL schema for exchanges, accounts, orders, fills, assets, balances, and transaction history. • Create modular exchange adapters so additional platforms can be integrated later without changing the core system. • Provide a lightweight CLI/web dashboard showing live balances, filled orders, trade history, and date-range CSV export. • Include duplicate-event protection, reconciliation logic, structured logging, database migrations, and unit tests for critical functions. • Deliver clean source code and a concise README covering API configuration, database setup, migrations, and deployment. Best Regards, Asad Python | PostgreSQL | REST/WebSocket APIs | Crypto Exchange Integration | Secure Backend Development

@lazarr4

Hello, I can build a secure crypto transaction manager that connects to exchange APIs, normalizes trade data, and provides real-time visibility—without locking you into a rigid system. I’ve set up a similar system for a crypto trader using Python and PostgreSQL, but instead of raw SQL, I used SQLAlchemy to simplify future updates. The dashboard included live balance updates and export filters. I’d approach this by using async Python for API calls and WebSockets, with HMAC-SHA256 signing handled by a dedicated key manager. The database schema will group trades by exchange while keeping timestamps consistent. The biggest improvement will come from pre-filtering trade data before storage, so your dashboard loads instantly even with thousands of transactions. Auditable records and exportable CSVs will reduce the risk of manual errors, while the modular design lets you add new exchanges later. I’ll include a checklist of security best practices for key storage and API rate limits. Once the project is complete, I’ll review the setup with you to confirm everything is working as expected. If this sounds helpful, I’d be happy to discuss the details further. Thanks, Lazar.

@shayankhan333

REST snapshots plus WebSocket streams is the right mix here, since fills arrive faster on WS but reconciliation still needs REST pulls to catch anything the socket drops. I'll build the manager in Python with PostgreSQL, connect two exchanges of your choice using HMAC-SHA256 signed calls, normalise trades and balances into one schema, and add a small dashboard with CSV export plus unit tests. I can jump on this right away. Past exchange and Python automation work is on my profile: https://www.freelancer.com/u/shayankhan333 1) Which two exchanges first, Binance, Kraken, Coinbase, Bybit? 2) CLI or web dashboard for v1? Ready when you are. Thanks Shayan

@MSaadJaved

I’ll build a Python and PostgreSQL transaction manager that securely connects to two crypto exchange APIs, signs requests with HMAC-SHA256, captures trades in real time, and stores everything in a normalized database with migration scripts. I’ll also create a small CLI or web dashboard to show live balances, filled orders, and trade history, plus unit tests for critical functions, a CSV export for any date range, and a short setup README. If you want, I can align the first two exchanges with your preferred platforms. Best, NexLoom Labs

@razmiks2

Hi, I’ve built Python-based exchange integrations that normalize trades and persist them reliably for audits. You need a secure transaction manager that connects to exchange REST/WebSocket APIs, stores normalized trade data in PostgreSQL, and provides CLI or a lightweight dashboard with CSV exports for date ranges. I’ll implement HMAC-SHA256 signing, key-safe storage, schema migrations, and unit tests for the critical parsing and bookkeeping paths. I deliver clean, auditable data pipelines with focused API integration and data processing. Best, Razmik

@Cruz1217

Pulling both REST and WebSocket feeds from multiple exchanges often triggers hidden rate limits that break real‑time sync. I'll set up a WebSocket listener for live trades and a signed REST fallback for any gaps, all in Python. Each event will be stored in a normalized PostgreSQL schema for the two exchanges you choose, ready for quick CSV export. Most developers dump raw JSON into a single table, then spend hours writing queries to pull out timestamps and amounts. By normalising the trade fields up front, the audit log stays readable and the CLI can show balances without extra processing. You’ll get a ready‑to‑run manager that updates balances instantly and produces a clean CSV for any date range.

@adriank06

Real-time crypto transaction tracking breaks down when WebSocket disconnects miss execution events or out-of-order REST reconciliations desync balances. The cleanest architecture here is an asynchronous Python pipeline using native exchange adapters with HMAC-SHA256 signing, writing to an idempotent PostgreSQL event schema. I will structure the ingestion layer to normalize order fills, fee deductions, and trade timestamps into indexed relational tables managed by Alembic migrations. This avoids brittle polling scripts and guarantees that historical trade logs reconcile accurately against live balance streams. The front interface will be a lightweight CLI or web dashboard displaying live balances and generating clean CSV exports for any selected date range without manual intervention. To de-risk the integration right away, I can share a sample normalized PostgreSQL schema alongside a working HMAC-SHA256 signature module for Binance and Bybit. Which two exchanges do you want integrated first?

@abhilashr53

You want a production-ready crypto transaction manager that pulls live data from multiple exchanges, stores everything cleanly, and gives you a clear audit trail with zero manual intervention. Here is the plan: Python backend using CCXT for unified REST/WebSocket exchange access, HMAC-SHA256 signing handled per-exchange spec, API keys stored via environment variables or a secrets manager. PostgreSQL schema normalised to trades, orders, balances, and exchange tables with Alembic migrations. FastAPI powers a lightweight web dashboard showing live balances, filled orders, and trade history with CSV export filtered by date range. Unit tests via pytest cover signing logic, ingestion pipelines, and export functions. README covers local and Docker deployment. I have built exchange integrations handling real-time WebSocket streams, order reconciliation, and structured financial logging in Python stacks similar to yours. Critical path thinking: key management and data integrity first, UI second. Timeline: schema and API integration for two exchanges by day five, dashboard and CSV export by day nine, tests and documentation by day eleven. Which two exchanges are you targeting first, and do you need WebSocket real-time streaming on both or is REST polling acceptable for one of them?

@juaqn07

Hello I’d be happy to build your **crypto transaction manager** using Python and PostgreSQL, with secure integrations for multiple exchange APIs. I can integrate **REST/WebSocket APIs, HMAC-SHA256 authentication, real-time trade updates, balances, and filled orders**, while keeping API keys securely managed and never storing sensitive credentials unnecessarily. I can also create a **normalized PostgreSQL database**, migration scripts, and a simple CLI or dashboard for live balances, trade history, and CSV exports by date range. I’ll include **unit tests, error handling, logging, and clear setup documentation** so the system is reliable and easy to maintain. I can work with the two exchanges you choose and adapt the integration to their specific API requirements. I can also share relevant **Python, API integration, PostgreSQL, and transaction-tracking** examples. Best regards, Juan

@jblignau42

First thing I would set up is the one that protects you: the API keys must be read only. Every major exchange lets you scope a key to read only, no trading and no withdrawals. A transaction manager never needs more than that, and it means that even if the keys leak, nobody can touch your funds. You generate them yourself and they sit in a config on your own machine. I never need to see them. For correctness the pattern is WebSocket and REST together, not one or the other. WebSocket gives you fills in real time, but connections drop and you silently lose events. So a REST backfill runs on a schedule to reconcile and close the gaps, keyed on the exchange trade id so a reconnect cannot duplicate rows. Then one canonical trade table that both exchanges normalise into, which is what makes the CSV export actually line up. Which two exchanges are you on?

@itsmajeed

Real-time trade capture across multiple exchanges with a clean audit trail, that's a data pipeline problem as much as an integration one, and it's exactly the kind of build I enjoy. I'd architect it in Python: async WebSocket listeners per exchange for live fills and balances, REST polling as fallback, HMAC-SHA256 signing with keys pulled from env/secrets manager (never hardcoded), and a normalized PostgreSQL schema (accounts, trades, balances_snapshot) with Alembic migrations. CLI first for speed, or a lightweight dashboard if you want visuals. CSV export by date range and unit tests on the signing/parsing logic come standard. Relevant background: Kashy AI (AI wallet managing balances and transactions in real time), Lumia (blockchain/tokenization infra in Java), and Cadena Bitcoin (Bitcoin lending platform handling custody logic). Which two exchanges are you starting with? Happy to hop on a quick call and sketch the schema before we lock scope. Abdul