Custom Deriv.com Automated Options Trading Bot with MACD + RSI Indicators & Martingale Strategy

@Microlent

I reviewed your requirements carefully. What stands out is that you're not simply looking for indicator-based automation, but a reliable trading system with strict risk controls, trade management, reporting, and operational safeguards before any live deployment. Our team has experience building automated trading systems, financial data integrations, signal engines, dashboard interfaces, and API-driven automation platforms using Python and Node.js. We can develop a Deriv-compatible bot that combines MACD and RSI confirmation logic, manages trade execution through the API, and includes comprehensive logging, monitoring, and safety controls. For this project, we would focus heavily on: • MACD crossover and RSI confirmation logic • Configurable 10-step Martingale workflow • Demo account testing before live deployment • Balance protection and stop-loss safeguards • Telegram/manual stop controls • Trade history, reporting, and error logging • Robust exception handling and recovery mechanisms We understand that no strategy can guarantee profitability, which is why validation, risk management, and operational stability should be prioritized ahead of live trading. Relevant experience includes API integrations, real-time data processing, automation systems, analytics dashboards, and financial workflow applications. Regards, Rajesh

@n2rtechnologies

SKIP.

@vishal1145

Your Martingale strategy will blow up accounts if you don't implement circuit breakers at the API level. Deriv's WebSocket can lag during volatility spikes, causing duplicate orders that compound losses exponentially. I've built 4 trading bots (2 for crypto exchanges, 2 for forex brokers) where proper order queuing and balance checks prevented exactly this failure mode. Before architecting the solution, two critical questions: What's your max acceptable drawdown percentage before the bot force-stops? And does your Deriv account tier support the API rate limits needed for sub-second RSI calculations during high-frequency periods? Here's the technical approach: - DERIV API + WEBSOCKET: Implement persistent connection handling with automatic reconnection logic and order deduplication using request IDs to prevent the Martingale from double-executing during network hiccups. - PYTHON + TA-LIB: Build MACD/RSI calculation engine with vectorized operations processing 500+ candles per second, plus implement trend confirmation using 3-period moving average to filter false RSI signals below 40. - MARTINGALE RISK ENGINE: Code a state machine that tracks step progression, enforces hard stops at step 10, and implements exponential backoff between trades to avoid API throttling during recovery sequences. - TELEGRAM BOT INTEGRATION: Real-time trade notifications, manual kill switch, and balance monitoring dashboard that triggers alerts at 20% drawdown thresholds. - PIN LICENSING SYSTEM: JWT-based subscription validation with encrypted hardware fingerprinting to prevent license sharing, plus Stripe webhook handling for auto-renewal. I've architected similar high-risk trading systems where proper error handling was the difference between controlled losses and account wipeouts. Let's schedule a 20-minute call to walk through failure scenarios and API edge cases before you commit to development.

@softsolution2000

Hi, The 10-step Martingale cap with a hard reset on recovery is the detail that separates this from a naive doubling system — glad you built that in. I'd handle the signal layer in Python, pulling candle data via Deriv's WebSocket API and computing MACD crossovers against RSI thresholds before placing any tick. The Martingale state lives in memory with a fallback write to disk so a crash mid-sequence doesn't orphan your position. Balance floor check runs before every step, not just at entry. For the manual kill switch, Telegram bot is the cleanest option — one command stops live trading instantly without touching the server. I've built API-driven automation systems in Node.js and Python for clients in fintech-adjacent spaces, and my track record on Freelancer (664 reviews, 4.87★) reflects the kind of careful work this needs. Happy to do a quick call to walk through the demo-mode testing flow before anything touches live funds. Khalid

@tnt42010

Hi, Your project description is detailed and well-thought-out — that tells me you understand what's involved, which makes collaboration much easier. I've built algorithmic trading bots with MACD/RSI signal logic before and I'm familiar with the Deriv API — including its WebSocket-based options trading endpoints. Here's how I'd approach your specific requirements: • MACD crossover + RSI thresholds (RSI <40 buy / RSI >60 sell) — straightforward to implement with clean signal confirmation logic • 10-step Martingale with hard reset after recovery and a stop-loss kill switch — I'd add balance threshold protection so the bot halts automatically before hitting the final step • Demo/live toggle, Telegram-based manual stop, and detailed trade logs — all standard in my builds • PIN-based subscription system — I'd design this modularly so it can be enabled after the free trial phase without touching core bot logic I'll be honest: Martingale on options is high-risk and I take safety mechanisms seriously — I won't ship a live-ready bot without passing demo validation first. Can I ask — what's your preferred stack? Python or Node.js? And do you already have a Deriv API token/app ID set up? Looking forward to discussing further.

@mobasherreza10

As an integral part of the Aesthetic Logic team, I bring a solid combination of programming experience and a deep understanding of risk management to bear on algorithmic trading systems. I have a proven track record in developing high-performance trading bots and integrating APIs for platforms like Deriv.com. Proficient in Node.js and Python, with expert-level skill in trade data logging and handling errors, my proficiency would undoubtedly contribute to the success of your project. One of your specific requirements is the incorporation of the MACD and RSI indicators into the bot. With prior experience in using technical analysis indicators for trade signals, specifically the ones you mentioned, I can guarantee that my approach will strike the right balance between timely execution while prioritizing your desired trading strategy.

@purealmaz

Regarding your project, I have a quick question: For the Martingale 'reset after recovery,' does recovery mean recouping just the loss from that specific 10-step sequence, or the total drawdown it caused? I plan to approach this by using Node.js with the Deriv API WebSocket to handle the real-time indicator calculations (MACD/RSI) and efficient trade execution. I previously tackled a similar challenge when I built a custom crypto trading bot. In that project, I engineered a robust state machine to manage complex order sequences and implemented strict risk controls, similar to the 10-step Martingale logic you require. The system included detailed logging and fail-safes for transactional integrity. Let's connect to discuss the architecture. Regards, Philip O.

@FizzaNadeemK

Hi, this bot needs to be treated as a controlled risk system first and a trading automation second. The 10-step Martingale limit, demo testing, manual stop, and trade reporting are the parts that decide whether the bot is usable before any live Deriv deployment. I will structure the MACD and RSI signal logic, Deriv API execution flow, recovery reset rules, balance protection, Telegram or admin stop control, and detailed logs for every trade. The PIN subscription feature can be added after the free testing mode is stable, so licensing does not interfere with core trade safety. Do you want the first version built in Python or Node.js, and should it run on a VPS with Telegram controls from day one? Best Regards, Fizza Nadeem K

@iimtpradeepdash

I’ve built algorithmic trading bots on Node.js for APIs like Deriv, with both indicator logic and risk controls. The Martingale layer makes or breaks setups like this—a strict limit and reset stops hidden blowups. I wire MACD+RSI signals server-side, so you get deterministic triggers, not random LLM fuzz. My normal stack: Node.js backend, Telegram for manual stop, custom PIN subscription module for access control, trade logs to PostgreSQL or MongoDB. Docker for deployment. Demo/live mode toggle is straightforward. Error handling wires to both log and Telegram alerts. Do you need this for Deriv’s SmartTrader or Binary API? That changes how I handle signals and order management. Pradeep

@prabhathk5

Thanks for sharing the details. I’ve reviewed your requirement and would like to discuss it further. I’m Prabhath — an MQL4/MQL5, Pine Script, Python, and C++ developer with strong experience in building trading systems, advanced studies, and institutional-grade algorithmic solutions. I develop Expert Advisors, indicators, dashboards, data tools, and custom trading utilities for MT4/MT5 and TradingView. As an active trader, I work with concepts like ICT, SMT, market structure, liquidity models, order blocks, FVGs, VWAP, and volume-based logic. I build EAs and indicators that follow precise rules and match the user’s trading methodology perfectly. My expertise includes: Institutional-grade EA and indicator development ICT/SMT-based trading systems Pine Script indicators and automated strategies Python tools for data analysis, signals, and external integrations C++ modules for high-performance components Backtesting, forward testing, and full strategy optimization Strategy development, refinement, and consulting Once we discuss your project and you select me as the developer, I prefer a short call to confirm all details before starting. This ensures perfect clarity and avoids misunderstandings. I fix and optimize existing trading code by removing errors, correcting logic issues, and making your EA/indicator/bot stable and production-ready. Thank you.

@FreeLancers360

Drawing from a expansive, multi-faceted skill set that encompasses API development, Python expertise, and comprehensive software design, I am well-poised to fulfill the demands of this complex project. Aside from an impressive technical arsenal, my hands-on knowledge of algorithmic trading systems and familiarity with the Deriv API serves as a strong foundation for crafting your customized automated options bot. Underpinning the development process is my deep-rooted commitment to exhaustive planning and meticulous coding. I understand the significant financial risks entail in such undertakings and know that there is no room for even the smallest error when it comes to executing trades. This calls not only for developing the MACD/RSI signal tools but also implementing stringent safety measures – area which I have extensive experience in. Moreover, your project's emphasis on risk management aligns perfectly with my penchant for creating high-risk strategies with protective parameters limiting liabilities such as balance thresholds and manual stops. Inuntimely times when a harsh reality necessitates, fidelity heißt Einzelhändler Geist

@Hrolgar

The 10-step cap is good, but it needs a hard balance floor alongside it. Without one, step 10 can still wipe most of an account on a bad run. I'd build both guards before the live mode switch even exists. Deriv's WebSocket API works well here, event-driven and fast enough for this. Demo mode first. Get MACD crossover + RSI signals firing cleanly, then layer the Martingale state machine on top with configurable cap and floor. Telegram stop command and admin override go in at the same time as live toggle, not bolted on later. Logs capture entry/exit, stake size, recovery step, and outcome, so there's a full audit trail. PIN/subscription access control I'd scope once the trading core is done. Ten days, $750 as one milestone. This is an indicative estimate from the brief; I'll give you a firm quote once scope is locked. Is there an existing Deriv demo account for testing, or do I need to set one up?

@loxtic

Hello, how are you doing? I have considerable experience building algorithmic trading tools and I’ve worked with Deriv-like APIs, MACD/RSI setups, and risk controls including stepped money management. I’ve deployed options-focused bots with backtesting and live safeguards, plus logging, error handling, and reporting. I can demo prior work and set up a Telegram/admin stop interface for manual control. Let me know further if interested.

@nemanjam61

Hello! Building a clean, reliable trading bot with solid risk controls is exactly the kind of challenge I enjoy sinking my teeth into. I have built several algorithmic trading systems in Python with technical indicator logic and API integrations, so the MACD and RSI signal stack you are describing is right in my wheelhouse. The trickiest part of a Martingale bot is not the math but the safeguards. A runaway 10-step sequence without hard balance thresholds and a reliable manual kill switch can do serious damage fast. So before I write a single line of trading logic I will make sure the safety net is bulletproof first. My plan is to build the bot in Python, connect it to Deriv via their WebSocket API, implement the MACD crossover and RSI threshold signals, wrap the Martingale logic in strict step limits and balance checks, and add a Telegram stop control so you can kill it instantly from your phone. Everything runs on demo first with full trade logging before we even think about going live. One thing worth confirming early is whether you have a Deriv API token ready and what your starting demo balance looks like. That will help me calibrate the step sizes and thresholds properly. Shall we get started?

@cuyodigital

I looked at your Deriv options trading bot requirements and need to combine MACD and RSI signals with a 10-step Martingale strategy, including demo testing, manual stop controls, and detailed trade reporting. The Deriv API provides the complete framework for this integration. You create an Options account via REST API, then obtain a WebSocket URL through the OTP endpoint for real-time trading. The trading workflow uses WebSocket for market data streaming and execution. For the strategy, I will implement MACD crossover logic with RSI thresholds set at 40 for entry and 60 for exit. The Martingale engine will include position multipliers, max additions per round, stop loss, and profit target controls to limit risk. The deliverables include a complete Python trading bot with full Deriv API integration, MACD and RSI signal processing, a configurable Martingale engine with recovery and stop controls, demo testing capabilities before live deployment, manual stop control via Telegram, and detailed logging for all executed trades. The project will be completed in 10 work days at a total cost of 500 USD. Do you have existing MACD and RSI parameters defined? Should the manual stop control use Telegram or a web interface? Let me know your answers. I can start right away.

@Lazarone1

Hi, I have experience building automated trading systems and working with broker APIs using Python and Node.js. Your requirements are clear, and I can develop the Deriv trading bot with MACD/RSI signal confirmation, controlled 10-step Martingale logic, trade logging, demo/live modes, Telegram-based stop controls, and subscription PIN management. My focus will be on stability, risk controls, and thorough testing before any live deployment. I’d be happy to discuss the strategy details and implementation approach further. Best regards,

@goranm16

Hi, this fits my work well because the real goal is not just “a trading script” — it’s a safe Deriv trading automation system with strict controls around a risky Martingale strategy. I would start with demo-mode execution first: connect to Deriv API, build the MACD/RSI signal logic, and log every signal/trade so we can verify behavior before live use. The main risk is uncontrolled loss escalation or duplicated trades, so I’d add hard Martingale limits, balance thresholds, manual Telegram/admin stop, error handling, and clear trade reports before enabling live trading. I can build this in Python or Node.js with clean settings for strategy rules, recovery/reset logic, and future subscription/PIN control. Thanks!

@Rsolitario

I will implement a real-time analysis engine that validates MACD crossovers only when the RSI is in the exhaustion zones (40/60). I will program the bot with a "Recovery State." If step 10 is unsuccessful, the bot will automatically stop (Hard Stop) and send an immediate notification to protect capital. I will develop a separate authentication layer. You will be able to generate PINs with expiration times (e.g., 48 hours for $50). The bot will validate the PIN against a server/database before allowing live trading. I will integrate a Telegram bot. I have previous experience integrating the Deriv API and managing complex capital management logic. I am ready to deliver a professional, auditable, and market-ready tool. Best regards, Rafael

@rafaels170

Hello! Your project requires much more than a simple trading bot—the critical part is building reliable execution, risk controls, and monitoring around the strategy. I can develop a Deriv API bot with MACD/RSI signal validation, controlled Martingale progression, demo/live modes, Telegram controls, detailed trade logging, subscription PIN management, and configurable safety limits. Before providing a final estimate, could you confirm the Deriv option type, timeframe, and stake progression rules? I’d love to help build this safely and professionally.