Pine Script AI Fund Automation

@tangramua

Hello,   We carefully studied the description of your project and we can confirm that we understand your needs and are also interested in your project. Our team has the necessary resources to start your project as soon as possible and complete it in a very short time.   We are 25 years in this business and our technical specialists have strong experience in Algorithm, Machine Learning (ML), Programming, Pine Script, Data Analysis, Automation and other technologies relevant to your project.   Please, review our profile https://www.freelancer.com/u/tangramua where you can find detailed information about our company, our portfolio, and the client's recent reviews.   Please contact us via Freelancer Chat to discuss your project in details.    Best regards, Sales department Tangram Canada Inc.     

@diektech

Hi, This is Elias from Miami. I’ve checked the project description, and I understand you need an automated trading/portfolio management system centered around FSM logic, where entry, exit, position, and portfolio state changes generate controlled signals for the TQR program trading workflow. I have experience with backend development, APIs, data processing, automation, database-driven workflows, and building systems with clearly separated business logic and execution layers. I can structure the FSM so each trading state and transition is deterministic, traceable, and protected against duplicate or invalid signals. Entry/exit conditions, position state, risk controls, and execution events can be isolated into testable components. Q1: Do you already have the TQR entry/exit rules and state-transition diagram defined, or should I translate the existing trading logic into the FSM? Q2: What execution interface will the FSM communicate with—an existing broker/API, proprietary trading engine, or another portfolio-management system? Q3: For the 20-day deadline, is the priority the FSM/signal engine itself, or does the first release also need live execution, portfolio tracking, logging, and testing? I can dedicate the agreed hours to this project during the 20-day development period and work milestone-by-milestone with clear testing and validation of each state transition. Regards.

@Mahihassi

As an experienced Electrical Engineer, I bring substantial skills and knowledge unique to your project's needs. My proficiency in firmware development and algorithmic trading is directly applicable to the task at hand. Specifically, my expertise in FSM logic sequencing, entry/exit state change signaling, and portfolio management automation aligns seamlessly with your key project specification. Additionally, my Masters in Embedded Systems has equipped me with a deep understanding of creating and integrating AI-operated systems utilizing ML and DL. I believe this knowledge will prove critical for the successful automation of your TQR program trading. Moreover, my dedication to delivering market-ready products that meet client needs aligns perfectly with the essence of this project. I assure you that if chosen, I will prioritize this task above all others, ensuring we meet the stringent 20-day deadline. Together, we can create a Pine Script AI Fund Automation system that's robust, secured from tampering, and performs optimally to ensure your fund thrives in the ever-changing market landscape.

@MashoodurRehman1

I am a skilled developer with extensive experience in program trading and portfolio management automation. I possess advanced knowledge of FSM logic sequencing and state change signaling. My expertise aligns well with the requirements for automating the TQR program as part of your AI-operated fund project. Previously, I have successfully integrated AI systems into financial trading platforms, enhancing decision-making and operational efficiency. I am proficient in Pine Script, among other financial programming languages, ensuring seamless integration and maintenance of your automated fund system. I understand the importance of dedication to this project and am prepared to prioritize it to meet the 20-day timeline. I am interested in discussing this project further to understand your specific objectives and how I can best contribute to its success. Please let me know a convenient time for a detailed conversation about your requirements.

@juanpablomacf

The fragile part of this setup isn’t the Pine Script itself, it’s getting a deterministic FSM that drives entries/exits and portfolio state changes without hidden side effects or timing glitches across the whole fund. If the state machine, signal layer, and execution/portfolio engine aren’t clearly separated, you’ll fight race conditions and inconsistent positions once real money is involved. My approach would be to design the FSM around a small set of explicit states (idle, pending entry, in‑position, pending exit, error/recovery) and define the exact transitions triggered by TQR signals, risk limits, and portfolio constraints. I’d keep Pine Script focused on signal generation, with a separate automation layer handling order routing, position sizing, and portfolio aggregation so the fund logic remains auditable. First step would be a written spec of the state diagram and signal taxonomy, then an implementation that can be simulated on historical data before going live. One key risk is conflicting signals across instruments or timeframes, so priority rules and cooldowns need to be baked into the FSM. Three quick questions: 1. Is TQR already implemented in Pine Script, or does that logic need to be built from scratch? 2. Which broker/API will the automation integrate with under the LLC structure? 3. Do you require per‑trade audit logs for compliance and post‑trade analysis? Juan Pablo

@PINESCRIPTERR

Hi, I can design the trading engine as a deterministic finite-state machine with explicit transitions for signal detection, pending entry, open position, risk adjustment, exit, cooldown, and failure recovery. The system will separate strategy logic, portfolio allocation, broker execution, market data, and reporting. Every transition will be validated, timestamped, and auditable, with idempotent orders, exposure limits, kill switches, reconciliation, and paper-trading tests before any live deployment. Legal, tax, and regulatory setup for the LLC should remain with qualified advisers. Three technical questions: 1. What does the TQR methodology include, and are its entry/exit rules already documented? 2. Which instruments, markets, broker API, and trading frequency must the system support? 3. What portfolio limits, drawdown controls, approval gates, and live-capital constraints are required? Best regards, Houssame

@ZohaibRoy

⭐⭐⭐⭐⭐ Build and Maintain an AI-Operated Fund with FSM Logic Sequencing ❇️ Hi My Friend, I hope you are doing well. I just checked all of your project requirements and I can see you are looking for an expert to develop and maintain an AI-operated fund. You have no need to look any further as Zohaib is here to help you! My team has successfully completed 50+ similar projects in program trading and portfolio management. I will implement FSM logic sequencing for your entry and exit strategies, ensuring efficient automation of the TQR program. ➡️ Why Me? I can easily do your project on AI-operated fund management as I have 5 years of experience in program trading, portfolio management automation, and FSM logic sequencing. My expertise includes state change signaling, algorithm development, and automation techniques. Not only this, but I also have a strong grip on other relevant technologies like data analysis and machine learning. ➡️ Let's have a quick chat to discuss your project in detail, and let me show you samples of my previous work. I'm looking forward to discussing this with you in chat. ➡️ Skills & Experience: ✅ Program Trading ✅ Portfolio Management ✅ FSM Logic Sequencing ✅ State Change Signaling ✅ Algorithm Development ✅ Automation Techniques ✅ Data Analysis ✅ Machine Learning ✅ Python Programming ✅ API Integration ✅ Risk Management ✅ Financial Modeling Waiting for your response! Best Regards, Zohaib

@Guptapuru304

Hi — Puru here from ErgoSphere. You're essentially building an AI-driven fund automation system to manage trading and portfolio decisions using Pine Script and FSM logic for entry/exit signals. What usually matters most here is the precision of FSM logic sequencing and the robustness of automation to ensure reliable execution of trading strategies without human intervention. I'd recommend using a combination of Pine Script for the algorithmic trading rules and Python with FastAPI for backend processing of FSM logic. This allows us to leverage both high-frequency trading capabilities and strong API-driven data handling. We can secure sensitive trading data using secure endpoints and OAuth2 for authentication, ensuring secure communication between systems. I've worked on AI-enabled algorithmic trading, FSM-driven automation, and scalable backend systems. A few questions to better understand the scope: Q1 – Are there specific proprietary algorithms or datasets you plan to integrate? Q2 – How should we prioritize the FSM logic for entry/exit strategies in terms of risk management? Q3 – Is there an existing infrastructure to integrate with, or are we starting from scratch? A working prototype could reasonably be targeted within 3–4 weeks, followed by a polished release in roughly 6 weeks depending on the complexity of FSM logic and integration needs. Looking forward to hearing from you.

@Aaleen110

The brief calls for FSM logic sequencing for entry/exit state changes to automate a TQR program trading and portfolio management algorithm. I would go with a Python-based approach for this, specifically using libraries like `ta` for technical indicators and `pandas` for data manipulation, feeding this into a state machine built with custom Python classes. This offers the most direct control over the state changes and signal generation for your fund automation. I will build the core FSM logic in Python, with clear classes representing each state and the transitions between them based on TQR signals. This code will run scheduled jobs, likely using `cron` on a Linux server, to continuously pull market data and trigger state changes. The analysis will be performed using Data Analysis techniques, and the entire process is an example of ML applied to signal generation. Your brief assumes the TQR program is a black box delivering signals. I would integrate directly with the TQR signal source itself if possible, rather than just receiving output signals, so we have more granular control over the exact data points driving the state changes and can refine the automation based on the precise TQR logic. 10 reviews on Freelancer at 5.0, everything delivered on time and on the agreed price so far. My approach will use direct Python scripting for the state machine and signal processing, avoiding reliance on external, potentially less flexible, automation platforms for the core logic. How will the TQR signals be provided to the automation engine; are they real-time streaming data or periodic updates? A proposed short call on Freelancer to settle the scope would cover the exact format of the TQR signals and the specific entry/exit criteria for the initial states.

@belarjsoufiane20

Hi, I’m a data analyst/statistical engineer with strong Python experience and hands-on experience developing and automating trading strategies using Pine Script, including entry/exit logic, signal generation, backtesting, risk management, and systematic trade execution workflows. I’m interested in implementing the FSM logic for your TQR program trading system, particularly the sequencing of entry/exit states and reliable state-change signaling. One important question: do you already have the complete TQR entry/exit rules and portfolio-management logic defined, or would you expect me to design these components as well? I can dedicate the required time to the project and work toward the 20-day completion timeline.

@HamparProd

The critical part here is keeping the FSM state sequence deterministic from signal generation through live execution so duplicated, delayed or conflicting entry/exit events cannot create false trades. I would use Pine Script for the TQR signal/FSM layer and backtesting, then send explicit state-change alerts to an external execution service for broker orders, portfolio controls and reconciliation. Pine should not be the final execution authority. Each transition will be validated against current state, sequence/idempotency rules and portfolio limits before an order is sent. AI can support regime analysis or parameter recommendations, while actual entries, exits, sizing and risk controls remain deterministic and auditable. I can start immediately after award with the existing TQR state definitions, Pine logic and broker/execution requirements.

@JustinJcob

I got you! I can help develop, integrate, and maintain your AI-operated proprietary fund system with FSM-based entry/exit sequencing, TQR program trading automation, and portfolio management state-change logic within your 20-day timeline. I’m ready to focus on the project specifics, and as a young, fast learner available 24/7, I can stay responsive and dedicated without conflicting commitments. Get the demo first before you pay. A couple of key questions: Do you already have defined TQR rules/signals, or should the FSM logic be designed from scratch? Also, which broker/API, data feed, and execution environment do you want integrated? Let’s chat and discuss the answers so I can map the exact workflow and start quickly. Kind regards, Haroon Z

@dvcontact

Hello Sir, Would you be interested in a demo of our state-of-the-art AI fund automation solution before making any commitment? Our expertise in program trading and FSM logic sequencing positions us uniquely to elevate your TQR program trading and portfolio management to new heights. I invite you to discuss how we can tailor our solution for your needs and provide a comprehensive plan and demo at your convenience. Regards, Smith

@vladang

FSM entry/exit signals live or die on one thing: no state change until the bar closes. Pine Script alerts can fire intrabar and repeat, and that gap is where a live fund drifts away from its backtest. I'd write out the TQR states and the legal transitions first, then have the strategy emit one signal per transition, with the execution side ignoring duplicates and checking the real position against the state machine on every bar. A portfolio rules engine with volatility bands and a backtest lab over real data is close to what I built in a demo at steady-stack.vercel.app. 20 days is workable. We can set the first milestone as the state machine plus its transition tests running on history, so you watch the signals before any money moves, and I'd take this on as my only project at 40+ hours a week. Is TQR your own written spec for me to implement, or is there an existing Pine script I'd start from?

@Georgeoustar

Hi there, I am excited to submit my proposal for your Pine Script AI Fund Automation project. Your goal of integrating FSM logic sequencing for entry/exit state change signals and automating TQR program trading aligns well with my skill set. With extensive experience in algorithm development, machine learning, and automation, I have successfully built and maintained proprietary trading systems for dynamic fund management. My background includes expertise in Pine Script, algorithmic trading, and portfolio management automation—precisely what your project requires. I understand the importance of robust FSM logic in managing state transitions for trading strategies, ensuring accurate signal generation and seamless trade execution. My data analysis skills will further support the optimization and monitoring of trading performance. For your project, I propose a structured approach: requirements analysis, FSM logic design, Pine Script and automation implementation, thorough backtesting, and ongoing maintenance. I am fully committed to dedicating my time and expertise exclusively to your project to ensure its success. Looking forward to collaborating and delivering a high-performance AI-operated fund automation solution tailored to your needs. Best Regards! George

@venplura

Hi there! The core challenge here isn't just sequencing state logic—it's ensuring your FSM handles signal conflicts and latency gracefully when real market data arrives faster than your state transitions complete. If entry and exit signals overlap or a market gap creates a stale state, your automation either misfires or locks up. I'd structure this around explicit state guards: each transition validates preconditions before committing, and any conflicting signal gets logged and queued rather than dropped. This means your fund behaves predictably under stress and you have a clear audit trail when something unexpected happens. Pine Script has real constraints around execution timing, so I'd also design the signal layer to be decoupled from the state machine itself—easier to test, tune, and iterate without redeploying the entire automation. Happy to walk through specifics on how you want to handle signal priority or state recovery if that's useful. What's your current approach to managing overlapping signals? Corné

@muteebu007

Hi, I can help build and integrate the FSM-based trading automation for your TQR program. I have experience building backend automation, API integrations, database-driven systems, and event/state-based workflows, and can translate a formally defined trading strategy into a reliable execution engine. I can implement the entry/exit state sequencing, signal handling, transition validation, broker integration, portfolio state tracking, logging, and error/risk safeguards, with each component tested before production deployment. I’d first review the existing TQR strategy specification/code and define the complete FSM and invalid-transition rules before implementation. I can work within the 20-day target and provide a clean, maintainable system for ongoing integration and maintenance.

@sufyanasmat38

Hello, I have strong experience with algorithmic trading, portfolio automation, FSM logic, state management, and event driven systems. I can design the FSM sequencing for your TQR program trading workflow, handling entry and exit signals, state transitions, validation, and reliable automation of portfolio actions. I’ll keep the logic deterministic, testable, and structured for integration with your existing trading algorithm and LLC environment. I can start immediately and work within the 20 day timeline.

@MuhammadUzair16

Hi, I am a software engineer with over 16 years of experience. I have extensive experience developing automated trading systems, portfolio-management workflows, finite-state machines, real-time signal processing, and reliable integrations between strategy logic and broker execution layers. I can translate your TQR rules into a deterministic FSM for entry, exit, position, and portfolio state transitions, then integrate the Pine Script signals with a secure automation service. My approach would include clear risk controls, duplicate-order protection, audit logging, backtesting, paper-trading validation, monitoring, and deployment documentation before live operation. I can also support ongoing maintenance and coordinate the technical architecture with your legal and compliance advisers for the LLC-operated fund. Before starting, I would like to review the existing TQR specification, target broker/exchange, asset classes, portfolio constraints, and whether any Pine Script or execution infrastructure is already available. I can reserve focused capacity for the proposed 20-day schedule. Please contact me to discuss details.