Stock & Crypto Algo Trading Software

@sdqtrades

With a comprehensive grasp of financial markets and significant experience in developing algorithmic trading systems, I am supremely qualified to bring your project to life. Having successfully designed and deployed numerous bots for various trading platforms, I am familiar with the nuances of API integration and ensuring reliable, latency-aware execution. My core competencies lie in designing complex digital architectures and developing automation workflows, which align perfectly with your project needs. Moreover, my mastery in multiple programming languages like Python, C++, and Rust enables me to craft highly efficient, stable, and low-latency trading codes. Most importantly, I value your ideas and guarantee 100% confidentiality while delivering fast yet high-quality work. I understand the significance of clear communication in executing such projects flawlessly and offer my multi-linguistic capabilities (English, Spanish, Portuguese, French, German, Italian) if needed. Thanks for considering me!

@ashinnd84

Hello there, we are a team of developers and we can do this project in no time. Thanks Ashish Kumar.

@mahads31

With a comprehensive knowledge of JavaScript, Node.js, and Python, I will design and build your algo trading system with a keen understanding of low-latency functionality. This is fundamental to the success of any trading bot. In fact, I recently developed and deployed a similar crypto trading bot for a client in Dubai which has been running seamlessly on multiple exchanges. My approach to ensuring reliability and performance involves thorough testing at each phase of development, followed by continuous monitoring even after deployment. My deep understanding of software architecture will help in ensuring that the system can operate unattended consistently, making it exceedingly stable. Moreover, my penchant for innovation first thinking syncs perfectly with your project needs. I understand that your goal is not just creating a working system but building one that is efficient, scalable, and designed for future expansion. If you're looking not just for a developer but for a technology partner who relates to your goals and ensures a product's growth with future market demands like yours. Let us discuss your project further and let me prove myself as the perfect fit for your project.

@Jennycreation

As an experienced developer with a rich background in algorithmic trading, I would be a valuable asset to your project. My team and I have over 15 years of experience in areas such as stock market and crypto trading, as well as low-latency trading using languages like Python – which aligns perfectly with the skills required for your project. One significant advantage I bring to the table is my understanding of Indian markets since you mention that as a specific requirement. Having created several successful trading bots for Indian venues, I am familiar with their nuances, which will ensure a smoother implementation of your project. Moreover, being well-versed in Python Scraping and Automation Development work, adding risk controls and expanding rule-sets as your operation grows will be a streamlined process for us. In terms of deployment and testing for systems that must run unattended, this is a realm we are confident and comfortable operating in. Our 24x7 availability ensures that prompt responses are given to any kinks that may arise. Overall, by hiring me you're securing the services of a steadfast team with proven expertise who can successfully deliver your project from concept to execution. Let's make this happen!

@pinkeegupta

Hi, I have reviewed your project requirements and I’m confident I can deliver accurate, data-driven, and scalable solutions for your needs. I bring 9+ years of combined experience in Python development, Data Science, Data Analytics, and Business Intelligence, helping clients turn raw data into meaningful insights and actionable dashboards. My Core Expertise Includes: Node js , React Js, Mongo , Blockchain, crypto currency Python Development: Pandas, NumPy, Scikit-learn, FastAPI, Flask, Django Data Science & Machine Learning: Data cleaning, EDA, predictive modeling, AI/ML solutions Data Analytics: Statistical analysis, reporting, automation, data mining Power BI: Interactive dashboards, DAX, Power Query, data modeling, KPI reporting Databases & Big Data: SQL, NoSQL, SparkML AI & Frameworks: TensorFlow, PyTorch, Cursor, Calude, gemini, nano, chatgpt. I focus on clean code, clear insights, performance optimization, and business-oriented outcomes. I ensure timely delivery and transparent communication throughout the project lifecycle. Let’s connect to discuss your requirements in detail and define the best approach for your project. Looking forward to working with you. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@apoorvelous

Hi, This is right up my alley. As the CTO of DollarPe, a stablecoin infrastructure startup operating on crypto rails, I've spent the last 8+ years designing and managing end-to-end trading, risk analysis, execution workflows, and market-facing systems where reliability and latency matter. What caught my attention is that you're thinking beyond just a bot and focusing on the strategy engine itself—the architecture, optimization, execution layer, and risk controls. That's exactly where most of the complexity (and value) sits. Before discussing implementation, I'd love to understand the vision a bit better. Are you planning to connect directly to exchange/broker APIs for both crypto and Indian equities, or is there any web automation involved? What's the expected execution frequency (intraday, HFT-style, swing, etc.), and how mature is the strategy logic today? I've worked extensively around crypto infrastructure and understand the challenges around live market data, execution reliability, risk management, monitoring, and unattended deployments. Happy to discuss architecture first and then map out the most suitable stack and implementation approach. Looking forward to hearing more about the idea. Cheers!

@emanz03

The important part here is not just the strategy logic, it's making the execution loop safe enough to run unattended across two very different markets. I'd structure this in phases: first a Python/Node trading core with market-data adapters, broker/exchange connectors, order state tracking, retry handling, logs, and paper/live mode separation. For Indian equities, the broker API choice matters a lot because order types, auth flow, rate limits, and market hours all affect architecture. Crypto can run through exchange APIs with stricter key handling and position reconciliation. Testing should include backtest, paper trading, small live dry-run, and deployment with process monitoring so failures don't silently place duplicate orders.

@Algokage

Hello, I can efficiently deliver a fully-automated trading system for both Indian equities and crypto exchanges, focusing on algorithm design, optimization, and live execution. I’ll start by coding the core strategy engine, integrating live market feeds, and enabling automated order placement with latency awareness. Once stable, I’ll expand rule-sets, add risk controls, and fine-tune performance. With 5+ years of experience in low-latency trading systems using Python and C++, I’ve shipped similar bots for Indian venues. I structure testing and deployment to ensure unattended, reliable operation. Message me for samples or a quick demo to discuss further. Thanks, Adegoke. M

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would be glad to discuss it further. I’m Prabhath, an experienced MQL4/MQL5, Pine Script, Python, and C++ developer specializing in automated trading systems and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5, TradingView, and standalone platforms. Along with MQL5 systems, I also build fully automated trading software in Python and C++ for Indian stock markets and global exchanges (US, EU, and others). These solutions can be tailored for stocks, indices, futures, forex, and crypto based on project needs. As an active trader, I work with ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic, ensuring each strategy follows the client’s trading methodology. My expertise includes institutional-grade EA and indicator development, ICT/SMT-based trading systems, Pine Script automation, Python and C++ systems for Indian and global markets, backtesting, paper trading and live trade integration, strategy optimization, and low-latency execution. I also fix, optimize, and enhance existing trading systems to make them stable and production-ready. Where permitted, I can share demos or walkthroughs of previously completed projects while respecting client confidentiality. Thank you for your time and consideration.

@Hrolgar

For a system that spans NSE and crypto, the first architectural call is whether strategies share one OMS or route to separate adapters. Unified OMS is the right call, but it requires normalizing Kite's order types and session-state model against CCXT's 24/7 perpetual model into a canonical representation. That boundary decision shapes the entire data layer. The structure: market-data ingest (Kite WebSocket for tick data + CCXT unified feeds), a strategy interface that operates on normalized market data without touching exchange code, an OMS that handles order lifecycle for both venues, and a risk layer that enforces position/exposure limits before any order goes out. Backtesting plugs into the same strategy interface with historical data instead of live feeds, same code, no separate test harness. Python for the core strategy and risk layer, with the option to move the hot path to Rust after initial benchmarking if latency becomes a real constraint. M1: Scaffold + market data ingest (Kite WebSocket + CCXT unified feeds), 12,800 INR, 3d. M2: Strategy interface + backtesting framework with historical data support, 14,000 INR, 3d. M3: Kite + CCXT broker adapters (order placement, status tracking, fills), 13,000 INR, 3d. M4: Risk management + OMS (position tracking, exposure limits, stop-loss enforcement), 12,000 INR, 3d. M5: Live execution loop, logging and alerting, deployment config, 12,200 INR, 2d. What strategy types are you targeting first: momentum, mean reversion, stat arb? That shapes a few early decisions around data granularity and the tick-to-signal latency budget.

@growwithgdp

✅ I can develop a robust automated trading platform for both Indian equities and crypto markets, including strategy implementation, live market data integration, order execution, risk management, backtesting, and monitoring for reliable unattended operation. ✅ My preferred stack is Python for strategy development and integrations (Zerodha Kite, Upstox, Binance, Bybit, CCXT, etc.), combined with PostgreSQL, Redis, Docker, and cloud deployment. The architecture will separate data ingestion, signal generation, execution, and risk controls for scalability and maintainability. ✅ The development process includes historical backtesting, paper-trading validation, live execution safeguards, position sizing, stop-loss controls, logging, alerting, and deployment automation to ensure the system remains stable, auditable, and production-ready.

@anilptk

Hi. I saw your project and think I can deliver what you need. I understand your details and know what needs to be done. I will keep the plan simple, ask for feedback. and focus on results. I’m offering best quality and highest performance at lowest price I am a skilled freelancer with 10years of experience in JavaScript, Python, Software Architecture clients and always aim for clear and steady delivery. I have completed many projects for always aim for clear and steady delivery. Hello. I am available now to assist you. Warm regards, anilptk

@bizvivo

Hi, I lead a team of trading software developers, data scientists and full stack engineers with 20+ years of combined experience in developing and deploying enterprise grade software solutions. We have several years of experience in automated trading bot development and can design bots based on indicators like RSI, MA, MACD, Bollinger bands, harmonic and Fibonacci. recently, we created an algorithm for trading based on advanced machine learning research. Looking forward to discussion, Best Regards, Radhika

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@alluankit01

Hello, I can build your automated stock and crypto trading software with a reliable strategy engine, live market data integration, order execution, risk controls, logging, and unattended deployment support. I understand the priority is not only coding the bot, but making the execution loop stable, testable, and safe before expanding rule sets. I can structure the system with separate modules for market data, strategy logic, signal generation, position sizing, order placement, risk limits, trade logs, and monitoring so the platform is easier to improve over time. For Indian equities, I can work with broker APIs such as Zerodha, Angel One, Upstox, or your preferred provider, and for crypto I can connect Binance, Bybit, or similar exchanges. I usually prefer Python for research and strategy development, with Node.js, TypeScript, or Rust where lower latency or stronger service structure is needed. I can begin with paper trading and backtesting first, then move to live execution only after the strategy, risk rules, and failure handling are tested properly. Best regards Ankit

@bizmanas

Hi, I bring 18+ years of software engineering experience with strong expertise in Python, SQL, APIs, automation, data engineering, and production-grade backend systems. I maintain a 4.9 rating with repeat clients and have built scalable systems involving real-time data processing, trading/financial analytics, dashboards, and automated workflows. My approach would be: Design the core strategy engine with clean separation between market data, signal generation, risk checks, and order execution. Integrate live feeds using broker/exchange APIs for Indian equities and crypto venues. Build automated order placement with retry handling, logging, throttling, and failure recovery. Add paper-trading/backtesting mode before enabling live execution. Implement risk controls such as max loss, position sizing, stop-loss, exposure limits, and kill switch. Deploy as an unattended service with monitoring, alerts, logs, and performance reports. For low-latency trading, I usually prefer Python for fast strategy iteration with pandas, NumPy, asyncio, FastAPI, WebSockets, Redis, SQL, and broker SDKs. For extremely latency-sensitive modules, C++ or Rust can be introduced selectively. One question: which Indian broker API are you planning to use—Zerodha Kite, Angel One, Upstox, Dhan, or another platform? Happy to discuss and help build this into a stable live trading system.

@dushyant317

Hi, I can develop your end-to-end automated trading platform for Indian equities and crypto markets, including strategy engine development, live market data integration, order execution, risk management, backtesting, and unattended deployment. The system will be built with a scalable architecture (Python depending on latency requirements), featuring broker/exchange integrations, monitoring, logging, and robust safeguards to ensure reliable live trading across multiple venues.

@tamannarajput18

As a seasoned Full Stack Developer with a strong background in automation and real-time apps, I'm not only comfortable taking ideas from raw market logic to live execution but enthusiastic about it. I have extensive experience developing applications and systems with language like Python, which is particularly well-suited for high-frequency and low-latency trading. In addition to my technical abilities, I believe my work ethic aligns perfectly with your priorities for this project. I structure testing that ensures the highest level of reliability even under unattended running conditions—a crucial facet when it comes to algo trading software. In conclusion, hiring me would mean choosing a professional who’s had hands-on experience not just in developing scalable, secure systems across multiple industries but also in working through complex data types and creating robust solutions for dynamic market conditions.

@ApieTech

Trading execution systems for Indian equities and crypto exchanges require solid low-latency engineering — and that's our strength. We'd build the core engine in Node.js + TypeScript: event-driven architecture, Zerodha Kite Connect for NSE/BSE order placement, WebSocket feeds for real-time price data, and exchange REST/WebSocket APIs for crypto. The system runs in Docker, reports via a lightweight dashboard, handles reconnects and error recovery automatically, and includes a backtesting harness so you can validate strategy logic on historical data before going live. We haven't designed quant strategies from scratch, but we're very good at implementing, testing, and deploying trading engines around a strategy you define. We've built complex event-driven systems with demanding uptime requirements. Share the strategy logic and let's scope the technical build. Ping me.