Auto Trading Algorithm Development

@michaelbukachi

Hi, I am a senior Python developer with extensive experience building automated trading systems and algorithmic execution pipelines. I can implement a robust, battle-tested trading system integrated directly with the Interactive Brokers platform via ib_insync / official IBKR API. Technical plan: - IBKR Integration & Order Routing: Reliable connection handling, contract specification, real-time market data streaming, and order lifecycle management (bracket orders, stop-loss, take-profit). - Strategy Engine: Clean separation of data ingestion, indicator calculations/signals, and position-sizing rules with slippage and tick-filtering protections. - Risk & Safety Controls: Automated safeguards against disconnection, runaway orders, and daily drawdown thresholds. Would you like to discuss the specific instruments (equities, futures, or options) and execution triggers you plan to start with? Looking forward to hearing from you.

@TeraByte26

Hi, I will deliver a fully tested automated trading algorithm for Interactive Brokers, using a machine‑learning/optimization model and seamless IB API integration. I commit to a functional prototype within 21 days, fitting your INR 20,000 budget. I can share a sample script now—shall we begin? Waiting for your response in chat! Best Regards.

@vishal1145

Your ML model will fail in live trading if it's trained on historical data without accounting for slippage, latency, and order execution delays that Interactive Brokers introduces during volatile market conditions. This gap between backtest performance and live results is where most algo strategies break down. Quick questions - what's your target asset class and expected trade frequency? And do you have existing infrastructure for real-time data feeds or are you relying solely on IB's API? Here is the architectural approach: - INTERACTIVE BROKERS API: Build event-driven execution layer using IB Gateway with TWS API wrapper to handle order routing, position tracking, and real-time market data streaming. - MACHINE LEARNING PIPELINE: Deploy ensemble models (XGBoost + LSTM) with walk-forward optimization and out-of-sample validation to prevent overfitting on historical patterns. - RISK MANAGEMENT: Implement position sizing algorithms with dynamic stop-loss logic and portfolio-level drawdown controls to protect capital during black swan events. I've built 4 production algo trading systems that processed $12M+ in daily volume across equities and futures. Let's schedule a technical call to review your strategy logic before we architect the execution framework.

@prashanpatel557

Hello, I can develop your automated trading algorithm for Interactive Brokers using Python, with a focus on robust execution, data analysis, and systematic strategy development. I have experience with: - Python-based algorithmic trading systems - Interactive Brokers API integration - Real-time market data and automated order execution - Machine learning and optimisation workflows - Position sizing, SL/TP, logging, and error handling - REST/WebSocket-based trading integrations I can build the system with a modular architecture covering market-data collection, strategy/ML model, signal generation, IBKR execution, risk controls, logging, and monitoring. I would first review your trading rules, preferred instruments/timeframes, historical data, and IBKR account/API setup before finalising the algorithm and development scope. Estimated timeline: 7–12 days Estimated budget: ₹25,000–₹35,000 depending on strategy and ML complexity.

@MqlcoderHub

Hi there, I can help you out. I have done many similar projects in past. Come in chat to discuss more in detail.

@UzeeTech

Hello, I can build this as a controlled Python trading service for Interactive Brokers, starting with a reproducible backtest before paper trading. • Define data/features and an ML or optimization strategy with walk-forward validation, avoiding look-ahead bias and overfitting • Integrate IBKR through a resilient adapter for market data, order state, reconnects, retries and idempotent execution • Add position sizing, exposure/ daily-loss limits, stop rules, market-hours checks, structured logs, alerts and an emergency kill switch • Deliver research/backtest reports, configuration, paper-trading mode, source, setup notes and a milestone handover; live trading remains disabled until acceptance I have 9 years’ full-stack experience with React.js, Node.js, Python, Flutter and AI/ML; Python data pipelines, ML experimentation, financial APIs and production diagnostics are especially relevant. Relevant work samples are available. Which asset classes, bar frequency and historical data source should the initial strategy/backtest target?

@loxtic

Hi, how are you doing? I have considerable experience building automated trading systems and integrating with Interactive Brokers, with practical work on algorithm design and data analysis. I’ve deployed several projects in trading environments and can share samples on request. Let me know further information, if interested.

@MKCHAND

I am a senior trading systems developer with over 12+ years of hands-on experience in designing, developing, and deploying professional-grade automated trading bots and financial tools. I have successfully built and maintained trading systems for major Indian brokers including Zerodha, Fyers, Upstox, ICICI Direct, Kotak Neo, XTS API, Stoxxo, and Shoonya, as well as Forex and international platforms such as MT5 (MetaTrader 5) and Interactive Brokers. My expertise covers: End-to-end algorithmic trading system design High-performance trading bots (equity, options, futures, and forex) Real-time data handling, order execution, and risk management Custom professional-grade GUIs for live monitoring and control Scalable, reliable, and broker-compliant architectures Before any project commitment, I am happy to provide a live demonstration of my previous work, allowing you to evaluate the quality, stability, and performance of my systems. I also offer free lifetime technical support for all delivered solutions, ensuring long-term reliability and continuous assistance. I am confident in my ability to design and deliver a fully customized, robust, and production-ready trading system tailored exactly to your requirements. Let’s connect on chat to discuss your project details in depth.

@bizvivo

I lead a seasoned team of trading software developers, data scientists, and full stack engineers with 20+ years of combined experience delivering enterprise grade solutions. We specialize in automated trading bots, having built systems around RSI, MA, MACD, Bollinger Bands, harmonic and Fibonacci strategies. Recent projects include: • AI driven equity day trading bot with real time L1/L2 data ingestion and risk controls. • Options straddle/strangle manager with dynamic hedging and margin optimized basket orders. • Multi asset scalping bot tuned for ultra low latency execution. • Portfolio rebalancer integrating ML forecasts with smart order routing. • Backtest engine validating strategies against years of minute level data. We recently deployed a machine learning algorithm for predictive trading, combining advanced research with robust live execution. Looking forward to discussing how we can tailor this expertise to your needs. 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 20) Dhan Option Hedging bot 21) Tradingview: Pune script for Pivot table script I can deliver any project in Trading. Readymade setups for Python available

@alfatrade2

"Machine learning or optimization" with no strategy named is the part that worries me, because a fitted model without a defined edge mostly overfits history. I'd start with a simple rule-based strategy, backtest it honestly and run it on an IB paper account first. My nearest background is FastAPI services and data-processing pipelines in Python, and I haven't run live orders through IB before. Which instruments and timeframe do you trade?

@indreshpnk

Hello, I understand you need an automated trading algorithm integrated with Interactive Brokers, using robust algorithmic, machine-learning, or optimization techniques. The goal is to build a reliable execution system with clean architecture and data-driven strategy logic. Here’s what I can provide: • Develop the trading strategy with configurable signals, risk controls, and optimization. • Integrate the algorithm with Interactive Brokers for market data and order execution. • Add logging, error handling, backtesting support, and safeguards for reliable operation. I bring 4+ years of experience in Python, algorithms, data processing, APIs, and software development, with a strong focus on building reliable and maintainable systems. Just to clarify a few things: • Which asset classes and markets will the algorithm trade through Interactive Brokers? • Do you already have a trading strategy, or should I develop and optimize the strategy from your requirements? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha

@NEHABHAT92

My name is Neha and I have over 9+ years of experience in the field of web and mobile app development. Although I might not have a specific background in algorithm development for trading platforms, my expertise in Python and strong analytical skills make me confident that I can deliver an effective and robust trading algorithm. Moreover, you mentioned about incorporating machine learning or optimization algorithms into your project which can also be covered in my services as I am an expert not just in Python but also in Java. Pitch: At our fully committed web and mobile app development firm we are very flexible providing IT solutions turning your ideas to realty as requested. Hence, I assure you, meeting your project requirements wouldn't be a difficult task if you give me an opportunity to work on this project. Although I don't possess experience with Interactive Brokers platform itself, I'm highly adaptable and quickly grasp new technologies and systems. Additionally, my strengths in E-commerce especially will come handy with your integration needs. Pitch: In addition to all my technical abilities, what customers get when they choose me is uncompromising commitment and dedication to complete projects promptly without sacrificing quality. Also, if I'm given the chance, after delivery support will be provisioned for a period of three months at no extra cost to ensure a seamless integration into your system. With these advantages together with my reasonable pr

@samnangy4

Hello, I can develop a robust automated trading system integrated with Interactive Brokers using Python and the IBKR API. My approach would be to build the system in clear modules for market data, signal generation, order execution, position tracking, risk controls, logging, and performance analysis. Depending on your strategy requirements, I can implement rule-based, optimization, or ML-driven signal logic with proper backtesting before enabling paper trading. Key features can include: • Interactive Brokers API integration • Automated entries/exits and position management • Stop-loss, exposure, and risk controls • Historical backtesting and performance metrics • ML/optimization models where they provide measurable value • Paper-trading mode before live deployment • Detailed logs and error/reconnection handling • Clean, documented source code Please share the asset class, trading timeframe, strategy rules or objectives, and required risk limits. I can then define the architecture and milestones for the system.

@sams509

Hi, An IB-integrated trading algo with an ML/optimization core is a project I can take on end-to-end. For the IB integration, I'd use their API (TWS/IB Gateway via ib_insync in Python) to handle order execution, position tracking, and live market data that part's well-trodden and reliable once set up right. For the strategy itself, I'll start by understanding what edge you're targeting (mean-reversion, momentum, stat-arb, etc.) since that shapes whether ML adds real value or a simpler optimized rule-based approach performs better and is easier to maintain/debug. My approach: build and backtest the strategy on historical data first, validate with out-of-sample testing and realistic slippage/commission assumptions, then wire it into IB with proper risk controls (position limits, stop-loss logic, kill switches) before going live. I'll also set up logging/monitoring so you can see what the algo's doing in real time. I've worked with Python for financial modeling and algo development before happy to share relevant samples. Would help to know your target asset class (equities, futures, options) and whether you already have a strategy hypothesis or want me to help develop one from scratch.

@hx88xn

Hi, saw your post about the automated trading algorithm for Interactive Brokers. The hard part is not the strategy itself, it is keeping the IB API connection stable so orders and fills stay reconciled in real time. Are you already set up with TWS or IB Gateway, or does that need building too? My plan: build and backtest the strategy in Python on historical data first, then run it in paper trading before it touches live capital, with logging on every order and fill. Happy to start on a small milestone so you can judge the approach early. Regards, Hassan

@mikhailj89

Hi, I’m Mikhail. I’m an experienced digital professional with a strong background in web development, AI solutions, automation, digital marketing, and creative production. I’ve reviewed your project, and I understand that you’re looking for a robust automated trading algorithm for Interactive Brokers. My expertise in algorithm development, particularly with machine learning and optimization techniques, aligns perfectly with your requirements. I have prior experience in creating trading algorithms that seamlessly integrate with various platforms, including Interactive Brokers. My analytical skills and understanding of financial markets ensure that the solutions I provide are both effective and tailored to meet your specific needs. I’m not just looking to complete a task—I want to ensure the final result adds real value to your trading strategy. I’d be happy to discuss your requirements, share relevant examples of my work, and explain how I would approach your project.

@aakaashberi

Two different projects are bundled here, and only one has a definite finish line. The execution layer - IBKR connectivity, order routing, position reconciliation, reconnect handling - is engineering I can commit to and demonstrate. Whether a machine learning model makes money is not something any honest bidder can promise you, and I will not. So phase one builds the execution and risk infrastructure running on paper, with the model plugging in behind a stable interface. Three specifics that decide whether this survives contact with live markets. Backtests die of look-ahead bias: computing features on a bar that has not closed yet produces a beautiful equity curve that never repeats. Backtest and live must run the same feature code, with slippage and commission modelled from the start, or the numbers are fiction. IBKR has its own traps: pacing violations if you over-request market data, and TWS or Gateway needing a daily restart, so the system needs supervised reconnection and order-state reconciliation on startup or you get orphaned orders. And risk limits live outside the model - maximum position, maximum daily loss, kill switch - enforced in the execution layer, so a badly trained model cannot run the account down while you sleep. Straight on references: I have no public trading system to show you. 12,500 INR covers phase one, paper trading only, code in your repository from day one. Aakaash

@LuanCoetzee42

? I NOTICED SOMETHING IN YOUR PROJECT DESCRIPTION THAT MOST FREELANCERS WILL MISS I recently developed an automated trading algorithm for a client using Interactive Brokers, which increased their trading efficiency by over 30% in just three months. This project involved machine learning techniques for predictive analytics, ensuring robust performance in varying market conditions. I have over five years of experience in algorithm development and a deep understanding of financial markets. My proficiency with Interactive Brokers and data analysis tools enables me to create tailored algorithms that meet specific trading strategies. I understand your goal is to implement a robust trading algorithm that seamlessly integrates with Interactive Brokers. I would leverage machine learning techniques to enhance decision-making and optimize trading outcomes, ensuring your system adapts to market changes effectively. My focus will be on clear communication, efficient execution, and long-term success for your trading endeavors. I am confident that my experience uniquely positions me to deliver exceptional results. The difference between an average result and an exceptional one is usually decided before the work even begins. Regards, LuanCoetzee42