Ajustes y Optimización Bot Trading Python

@kabirchy

Hello, I understand you're facing issues with order synchronization in your trading bot using the Charles Schwab API, alongside ensuring its live functionality on platforms like GALA6 and ThinkOrSwim. To tackle these challenges, I propose a comprehensive approach: - Thoroughly audit the existing code to identify and resolve synchronization issues between the bot and the API. - Optimize the trading logic within the bot to ensure it functions seamlessly in a live trading environment. - Implement efficient data handling strategies to improve the performance of real-time trading operations. - Leverage my expertise in Python and relevant frameworks like Django and Flask, which, alongside robust API development skills, ensures an effective and scalable solution. - Conduct rigorous backtesting to verify the effectiveness and reliability of improvements before deploying the bot live. These steps aim to ensure that your trading bot operates smoothly, reliably executing trades as intended in real-time environments. Best Regards, Khorshed Alam, RS Software

@rizwange4

As an expert in Python with extensive experience in API integration, I am uniquely qualified to tackle your project. My proficiency includes handling complex synchronization issues and leveraging the full potential of APIs. Not only am I well-versed in the API tools, but I also have a deep knowledge of Charles Schwab and ThinkOrSwim - key requirements for this project. Additionally, my approach to trading strategy aligns perfectly with your project's needs. With a meticulous focus on partials (70/30) and shifting stop loss to break-even, I ensure the effective management of orphaned orders or rejected requests. Moreover, my expertise allows me to synchronize closed 1-minute candles with ThinkOrSwim accurately. Lastly, I must highlight my availability during US market hours for live testing and delivery of tangible results. Rest assured that as part of my commitment to you, I won't consider the project complete until we've successfully monitored market sessions together without any hitches. Choosing me will bring dedicated professionalism, knowledge domain expertise, and peace of mind that your bot will be transformed into a smooth-operating powerhouse. I'm ready to begin this optimization journey with you!

@Rapha

Hola, soy Rafael, desarrollador Python especializado en trading algorítmico, APIs financieras y automatización de estrategias. He leído la descripción del proyecto y el punto crítico no es la estrategia GALA6, sino garantizar que la ejecución contra la API de Charles Schwab sea completamente sincronizada y fiable. Revisaría el flujo de órdenes asíncronas, la gestión de estados, cancelaciones y reversiones para asegurar que cada operación se confirme antes de continuar, evitando órdenes huérfanas o bloqueos en ThinkOrSwim. También validaría la sincronización con velas de 1 minuto cerradas, la lógica de parciales 70/30 con movimiento del Stop Loss a Break-Even, la gestión de órdenes bracket y la incorporación del parámetro para alternar entre tamaño fijo de posición y cálculo dinámico desde el archivo de configuración. No considero el proyecto finalizado hasta comprobar su funcionamiento en una sesión real de mercado, verificando entradas, salidas, reversiones y actualizaciones del bot sin errores de sincronización ni incidencias en la plataforma. Hablemos por chat para revisar la arquitectura actual, el cliente utilizado para la API de Schwab y el código existente, y así definir el alcance, una planificación realista y las pruebas necesarias para dejar el bot operativo.

@onkarkulkarni8

Hello, I can help with your "Ajustes y Optimización Bot Trading Python" project. I develop clean, maintainable PHP backends — core PHP and Laravel/Symfony, MySQL schema design, and well-structured REST APIs. For work involving php, python, django, software architecture, api, flask, data analysis, backtesting, rest api, I pay close attention to validation, security, and readable code, delivering in small, testable milestones. I provide clean commits and clear documentation. Could we discuss the specifics before I firm up the timeline? ⭐ 5.0/5 from a recent client: "Project was delivered before Time with Best professional Knowledge One could ever held. Thanks for the support" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@godesignpk

Hello, I can help fix the synchronization issues with your Python trading bot and ensure smooth live operation with the Charles Schwab API. I will focus on async order handling, strict state confirmations, and correct partial exits with stop loss adjustments as you described. This will help avoid order conflicts and ensure the bot matches ThinkOrSwim signals accurately. I have experience with Python asyncio, REST APIs, and handling complex trading order flows, which fits your need for reliable real-time execution and testing during market hours. I will work closely with you to monitor live trades and confirm everything runs without errors. Could you share access to the current codebase and API credentials to start reviewing the order flow and async handling? Best regards, Waqas & GoDesign Team

@sufyanasmat38

As an expert python developer with a particular focus on trading platforms, I am confident that my skillset and experience perfectly align with your project requirements. Over the past few years, I have successfully developed and maintained numerous high-frequency trading bots for various clients, and I am well-versed with the Charles Schwab API and ThinkOrSwim platform. One key strength that sets me apart is my ability to handle complex scenarios that often arise when working with APIs of this nature. I will meticulously restructure the order flow to ensure strict state confirmation using async/await system. Additionally, I understand the importance of smooth position reversals and will fix any conflicts present in your current setup. Further adding value to your project, I have ample experience working with 1-minute candlestick data and have consistently ensured precise bot decisions aligned with chart signals, which would be valuable for "Sincronización de Velas de 1 Minuto con ThinkOrSwim" task. Moreover, my AI skills will come into play while configuring GALA10 as the master trigger using the 3 SMC IA agents as risk probability filters.

@Hubready

Hello!, This is James from Hollywood... I read your project carefully, and the core issue is very clear: fixing the order synchronization logic in the Charles Schwab API bot and making sure it runs reliably, without missed or duplicated orders. That’s exactly the kind of problem I like to dig into. I have about 15 years of experience with Python, REST APIs, Flask/Django, software architecture, debugging, data analysis, and trading automation. I’ve worked on Schwab and other broker integrations before, so I’m comfortable tracing race conditions, order-state mismatches, retries, and callback/polling issues until the flow is stable. My approach would be: 1. Review current bot logic and API order lifecycle 2. Reproduce the sync issue in a safe test flow 3. Fix the root cause, not just the symptom 4. Add validation/logging so order status stays consistent 5. Test edge cases to make sure it keeps working under real conditions Could you please clarify the following questions to help me better understand the project? 1. Is the mismatch happening on new orders, filled/canceled states, or both? 2. Are you using Schwab callbacks/webhooks, polling, or a hybrid sync approach? 3. Do you already have test logs or a failing case I can use to reproduce it quickly? If helpful, I can also share 3 relevant automation/trading systems I’ve built with similar API synchronization and reliability work. I’m very detail-oriented here, because trading bots need precision, not guesswork.

@rbtech1984

¡Hola! Entiendo que necesitas experiencia en Python para optimizar tu bot de trading actual, solucionar la sincronización de órdenes de la API de Charles Schwab y garantizar una ejecución en tiempo real fiable que incluya reversiones correctas, salidas parciales, gestión de *stops* y sincronización temporal de velas. Puedo mejorar el manejo asíncrono de órdenes, el flujo de comunicación con la API, la gestión de posiciones, los controles de configuración y la estabilidad del trading en vivo, manteniendo al mismo tiempo la arquitectura de tu estrategia GALA6 y tu panel de control actuales. Cuento con experiencia en el desarrollo de sistemas de automatización en Python, integraciones de API y soluciones para trading, creando software fiable enfocado en el rendimiento, la precisión y la ejecución en tiempo real. Me gustaría hablar sobre tu código actual por chat y compartir ejemplos relevantes de proyectos de automatización en Python y API que he realizado. Saludos cordiales, Farhin B

@mubeenm5026

With over a decade of experience specializing in Python, rest API and software architecture, I - Mubeen with Web Crest, am ready to tackle and resolve all the complexities associated with your trading bot. I have an in-depth understanding and extensive familiarity with the Schwab/ThinkOrSwim API, having handled various nuanced cases like TIF flags, order chaining and bracket orders before. My expertise will ensure smooth and uninterrupted order executions during live market sessions, guaranteeing the correct functioning of your trading bot. The optimization tasks require meticulous attention to detail, for instance ensuring that all partial 70/30 executions are perfectly coordinated with order cancellations, preventing any orphaned orders or rejections. Synchronizing one-minute candles from ThinkOrSwim (TOS) is another aspect I'll address with precision. Aligning your bot's logic 1:1 with TOS's visual signals will enhance its decision-making process. In addition to my technical expertize, what sets us apart at Web Crest is our Agile workflows that are complemented by transparent communication and customer-centric approach. I commit not just to delivering high-quality performance but also to long-term technical support for timely updates if needed post-completion. Let's synchronize our efforts at optimizing your trading bot algorithmically to maximize profits!

@sdqtrades

As an experienced and dedicated Python developer, I offer a unique blend of skills in coding, algorithm design, and thorough understanding of financial markets. Having successfully built several trading bots across different platforms like Schwab API,ThinkOrSwim and Binance among others,you can trust me to deliver exceptional work for your project. Not only am I well-versed in Python 3.10+, asyncio and RESTful APIs such as the Schwab, but I also have demonstrable experience in managing complex scenarios within these APIs which will play a crucial role in correcting the synchronization issues you've been experiencing. Rest assured, with my expertise, your bot will be given a new lease of life with async/await optimization to guarantee smooth operation throughout live trading sessions. Moreover, it's worth noting that punctuality is one of my key strengths – an attribute of great importance in meeting the demands of this particular project. With an estimated delivery time of 3-5 business days, you can trust me to get your bot back on track in no time without compromising on quality or thoroughness. I'm ready and available to conduct live tests during market hours plus my skills in UI Automation solutions will ensure nothing blocks ThinkOrSwim screens as we test the updated bot. Let’s make your bot a force to be reckoned with!

@durgesh8527

As a seasoned Python developer and a fintech enthusiast, I possess a unique understanding of bot trading and algorithmic strategies optimization. Having successfully managed similar projects with fine-tuning Charles Schwab and ThinkOrSwim API in particular, I am confident in my ability to address your challenges head-on. The fact that 90% of your bot's framework has already been established makes our collaboration even more potent. One key experience I bring to the table is handling edge cases in the Schwab/ThinkOrSwim API settings such as TIF flagging and order chaining - skills crucial for rebalancing the bot's position seamlessly. Moreover, I'm an expert at leveraging calls like async/await to ensure strict order state confirmation through robust verification and polling mechanisms - a proficiency that'll fix any synchronization issues you're currently encountering. Not to mention, my profound knowledge of Python 3.10+, asyncio, REST API requests, along with hands-on involvement in numerous successful real-time market testing scenarios make me an ideal candidate for your project demands. My working hours align perfectly with the American market and as soon as we're done with adjustments and optimizations, I'll combat-testing under live market conditions to demonstrate smooth+t+ executions, error-free transactions and flawless console outputs without freezing ThinkOrSwim interface.

@toriquldev123

Hello There! I’m Md. Toriqul Islam, and I’m excited to partner with you. I can dive into your project immediately. I’m an experienced Python developer with 10+ years of experience, specializing in algorithmic trading, API integrations, asyncio, multithreading, Flask, and automation. I understand your bot is nearly complete, and the key requirement is to fix Charles Schwab API order synchronization, handle asynchronous order confirmations, resolve position reversals, ensure correct 70/30 partial exits with Break-Even stop updates, synchronize 1-min

@vishal1145

Your bot will fail live trades if the Schwab API rejects bracket orders during reversals because you are not polling order status before submitting the next leg. This creates orphaned stop-loss orders that trigger false exits. Quick questions - are you currently using asyncio with proper state confirmation loops for each order leg? And what is your current latency between receiving the 1-minute bar close signal and submitting the order to Schwab? Here is the architectural approach: - SCHWAB API ASYNC: Implement state machine with CANCELED/FILLED polling before reversals to prevent bracket conflicts and TOS UI freezes - PARCIALES 70/30: Build atomic transaction wrapper that cancels original stop, waits for broker confirmation, then submits breakeven stop for remaining 30% - VELAS 1 MINUTO: Synchronize bar-close logic to :00 second timestamps using scheduler alignment with TOS data feed to eliminate intra-candle noise I have built similar algorithmic trading systems for 2 prop trading firms that process 500+ orders per session without API rejections. Let's schedule a 15-minute technical call to review your current order flow before the live market test.

@emilesd617

Hi, I am a Python developer with 8 years of rich experience in software development. I am familiar with Python, asyncio, Flask, REST API, Software Architecture, API Integration, Data Analysis, and Backtesting. I understand your bot is already largely complete, with the priority being reliable order synchronization through the Charles Schwab API. I can restructure the async order flow, handle reversals and partial exits correctly, ensure 1-minute candle synchronization with ThinkOrSwim, and help validate the bot during live market sessions to ensure stable execution. I'm an individual freelancer and can work on any time zone you want. Please contact me with the best time for you to have a quick chat. Looking forward to discussing more details. Thanks. Emile.

@maryam951

With my extensive expertise in Python and understanding of Rest APIs and packages such as asyncio, I am your perfect candidate for this project. I have a deep knowledge of how the Schwab API works, having handled challenging cases before, including bracket orders and TIF flags that will come in handy for your need to consolidate orders and maintain accurate status checks. I am also well-acquainted with ThinkOrSwim's limitations and can ensure smooth order-flow without freezing its interface. My proficiency extends to handling complex trading strategies; I have worked on similar projects utilizing stop-loss mechanisms and partial order executions (70/30), ensuring cancellation of any active stop-limit orders while executing these operations. Synchronizing 1-minute candlesticks with ThinkOrSwim is another skill I can offer, thus aligning your bot's decision-making process precisely with visual signals. Lastly, as a freelancer dedicated to finding durable solutions; your requirement for live-market monitoring poses no issue for me. My flexibility enables me to work within the US market hours since I believe real-time testing is essential towards offering a functional, robust bot. Given my skills and experience, I am confident that I can optimize your bot in the best possible manner, completing the task efficiently in 3-5 business days. Let's ensure that your bot functions diligently without any errors.

@juanpablomacf

Garantizar que un bot opere en Schwab sin errores depende de flujo asíncrono, confirmación estricta de estados y control milimétrico de reversiones. He trabajado con bots Python 3.10+, asyncio, Schwab/ThinkOrSwim, parciales 70/30, lógica SMC y sincronización de velas cerradas 1m para evitar señales falsas. Reestructuro órdenes con async/await, cancelo stops/limits y espero estado CANCELED antes de revertir posición. Ajusto duración DAY, sincronizo TP1→BE sin órdenes huérfanas y alineo velas con TOS. También dejo GALA10 como disparador maestro y agrego control manual/dinámico de tamaño en YAML/Dashboard. Entrega: Ajustes + pruebas en vivo durante mercado para validar entradas, parciales, reversiones y cierres sin bloquear TOS. ¿Tu bot usa cliente oficial de Schwab o wrapper propio? ¿Las reversiones fallan por latencia o por estados inconsistentes? ¿Quieres logs extendidos para auditoría en tiempo real? Juan

@mughiraaa

Hello, Tengo amplia experiencia con Python, aplicaciones de trading, integración de APIs financieras, procesamiento asíncrono y depuración de sistemas que trabajan en tiempo real. Puedo revisar el flujo completo de órdenes, identificar el origen de los problemas de sincronización y asegurar un funcionamiento estable durante las pruebas de mercado. Estoy disponible para acompañar las pruebas en horario de mercado y validar cada escenario antes de dar el trabajo por finalizado. Me gustaría agendar una reunión para revisar el código actual, definir los puntos críticos y explicar el plan de trabajo. I will share my portfolio in chat I look forward to hear from you. Thanks Best Regards, Mughira

@RusianD

Hi there, my name is Ruslan and I specialize in Python development, specifically in the areas of data analysis and software architecture, making me the perfect candidate for your Bot Trading project. Over the years, I have gained extensive experience working with Python 3.10+, asyncio and RESTful APIs which aligns perfectly with your requirements for this project, particularly in regard to optimizing the trading bot and addressing any API synchronization issues. My proficiency with APIs and brokerage platforms, such as Schwab and thinkScript will prove invaluable in rectifying any synchrony problems with Charles Schwab's API for the live execution of your bot during market sessions. Additionally, my skills in managing complex situations on trading platforms and my deep understanding of trading strategies like GALA6 / ThinkOrSwim will guarantee a smooth transition from testing to real-market usage without any hiccups. Lastly, adhering to your mandatory condition of live-testing during market hours holds no concerns for me - I am fully committed to delivering flawless code by monitoring its performance in real-time. My experience combined with my availability during American market hours leaves you free to focus on other tasks, knowing that your trading bot is running efficiently. I'm excited to demonstrate how my skills can add value to your project!

@tnowsolutions

Hola, Puedo ayudarte a estabilizar y optimizar tu bot de trading en Python, enfocándome en la sincronización con la API de Charles Schwab, el manejo asíncrono de órdenes, reversión de posiciones, parciales 70/30, Break-Even, y la sincronización exacta con velas de 1 minuto de ThinkOrSwim. También revisaré la arquitectura existente para garantizar una ejecución estable durante las sesiones de mercado en vivo. Realizaré pruebas durante el horario del mercado y trabajaré hasta que el flujo de órdenes funcione correctamente, sin bloqueos ni órdenes huérfanas. Hola, ¿el bot ya está conectado y autenticado correctamente con la API oficial de Charles Schwab, o el problema está únicamente en la sincronización y gestión de las órdenes? Además, ¿podrías compartir el código actual y confirmar si las pruebas se realizarán primero en **Paper Trading** antes de pasar a una cuenta real?