RSI Algo Trading Bot Development

@Iwori

I can build this Python RSI algorithmic trading bot with a modular architecture separating signal generation, risk management, and order execution. Key components: - Signal Engine: RSI calculation with configurable period, overbought/oversold threshold levels, and adjustable entry buffer (price/point offset). - Risk Management: Stop Loss and Take Profit execution (fixed, percentage-based, or trailing), position sizing logic, and automated trade state tracking. - Execution Layer: Clean, decoupled broker/exchange interface (compatible with CCXT, MetaTrader 5 Python API, Interactive Brokers, or direct REST/WebSocket endpoints). - Settings Management: Centralized configuration file for all RSI parameters, buffer values, SL/TP rules, and symbol/timeframe selections with solid default values. Which broker or exchange API do you plan to connect for order routing?

@axiomswb

Building your RSI Algo Trading Bot — reliable signals, clean risk management, production-ready Python. You need a Python trading bot that reads RSI, fires accurate buy/sell signals, and manages stop loss, take profit, and entry buffers automatically. Here is my exact execution plan: RSI Signal Engine: Calculates live RSI values and triggers buy/sell signals at configurable overbought/oversold thresholds so you never miss an entry. Adjustable Entry Buffer Module: Adds a configurable price buffer around signal levels to avoid false breakout entries and protect capital. Risk Management Layer: Automatically sets stop loss and take profit on every trade, keeping drawdown controlled without manual intervention. Parameter Config Panel: All key settings (RSI period, thresholds, buffer size, SL/TP ratios) exposed in a clean config file so you can tune the strategy without touching code. Backtest Runner: Validates the strategy against historical data so you can see real performance before going live. I will deliver the complete bot within 5 days at 6300 INR, clean and well-documented. Which exchange or broker API should the bot connect to — Binance, Zerodha, or another platform?

@vishal1145

Your RSI bot will generate false signals during sideways markets if you're relying on fixed thresholds without volatility filters. This causes whipsaw losses that erode capital faster than trending periods recover it. Quick questions - are you backtesting against live order book slippage or just historical close prices? And what's your target Sharpe ratio for this strategy? Here is the architectural approach: - PYTHON: Build modular signal engine with configurable RSI periods, dynamic threshold adjustment based on ATR, and vectorized backtesting using pandas/numpy for speed. - RISK MANAGEMENT: Implement position sizing based on Kelly Criterion, trailing stop-loss logic that adjusts with volatility, and max drawdown circuit breakers to prevent catastrophic losses. - ALGORITHMIC TRADING: Integrate live data feeds via WebSocket, order execution with retry logic for API failures, and logging system that tracks every signal decision for post-trade analysis. I've built 4 production trading systems that processed $2M+ in daily volume without missing fills. Let's schedule a 20-minute call to review your backtesting methodology before you deploy capital.

@programmingarena

Hello there, ✸✸✸Python Expert is Here✸✸✸ I’ve checked your project – “RSI Algo Trading Bot Development” And read the description carefully. As a professional Python Developer, I’m able to “to create an Algorithmic Trading Bot using the RSI indicator” as you required. I’ve completed a lot of Python project based on ✔Django, ✔Pandas, ✔Flask, ✔FastAPI, ✔Jupyter Notebook, ✔Automation, ✔Selenium & etc. Libraries in various platform. Here are some of my recent completed Python Project: ✔️ https://www.freelancer.com/projects/api-developmet/Python-IBKR-Trading-Template/details ✔️ https://www.freelancer.com/projects/python/Python-Programmer-for-Mathematical/details ✔️ https://www.freelancer.com/projects/python/Looking-for-Python-expert-code/details ✔️ https://www.freelancer.com/projects/python/Python-Backgammon-Game-Debugging-37926848/details Also you can visit my profile and check all the Reviews of my previous all Python Project to get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, come on chat box and let’s connect. Best Regards! Eng. Bablu Mondol

@whalequad

Hello! My name is Quadri, and I’m a highly skilled MetaTrader, ThinkorSwim (TOS), and Pine Script developer with over five years of experience. I have successfully built high-performance trading bots, strategies, and indicators for various brokers and platforms. My focus is on developing efficient, reliable, and solutions tailored to your trading needs. I’d love to discuss your project in detail and explore how I can help optimize your trading strategies. Let’s connect.

@NEHABHAT92

With over 9 years of experience under my belt, I'm thrilled to apply for the role of developing an RSI trading bot. I've gained tremendous proficiency in Python, making it my bread and butter when it comes to programming languages. My expertise doesn't just end with Python - I also have a deep understanding of RSI indicators and other trading strategies. Throughout my journey as a developer, I've honed my skills in developing not only web and mobile applications, but also algorithmic trading systems that generate accurate buy/sell signals, manage stop-loss and take profit scenarios efficiently. Managing risks is imperative in algo trading and I'm adept at implementing buffers to ensure the entry and exit points of each trade are well timed. Over the years, I've delivered projects effectively and cost-efficiently, assuring clients reliability, satisfaction, availability for after-delivery support (up to 3 months) plus cheap yet managed hosting and domain offers. Turn your idea into reality with someone who truly understands your needs! Choose me for an exceptional trading bot tailored perfectly to suit your preferences.

@prashanpatel557

Hello, I can develop your Python RSI-based algorithmic trading bot with clean signal generation and configurable risk management. I have experience building Python trading systems, broker API integrations, real-time market data processing, automated execution, and strategy/risk-management modules. I can implement: - Configurable RSI period and overbought/oversold levels - BUY/SELL signal generation - Adjustable entry buffer before order execution - Configurable Stop Loss and Take Profit - Position and trade-state management - Duplicate-entry protection - Real-time monitoring and logging - Broker API integration if required - Robust exception handling and reconnection logic - Clean, modular and well-commented Python code I can first implement the strategy in a test/paper-trading mode so the entry, buffer, SL and TP behaviour can be validated before live execution. Estimated delivery: 10–12 days Budget: ₹25,000–₹35,000 depending on broker/API integration requirements.

@Jennycreation

Hello Sir, I have already worked on similar types of website and software development projects and I am confident that I can successfully handle your project. I am a full-time freelancer with **17+ years of experience** in web development, software development, automation, and API integrations. My expertise includes: * ASP.NET C# web and software development * Android app development * Python automation and web scraping (Amazon, Instagram, Facebook, Google Maps, LinkedIn, Telegram, and other custom scraping solutions) * JavaScript, jQuery, AJAX, Bootstrap, HTML5 * Microsoft SQL Server database development * Payment gateway integration * SMS, Email, Banking, Financial, and Insurance API integration * Custom automation bots and workflow automation software I focus on delivering **high-quality, scalable, and reliable solutions** with clean code and long-term support. Please contact me in private chat so we can discuss your requirements in detail. I can also show you a **demo of similar projects** I have completed. Looking forward to working with you. Thanks & Regards

@prabhathk5

Hi Sir Hope you doing well! 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 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.

@loxtic

Hi, how are you doing? I have considerable experience building Python-based trading bots and have deployed projects that generate RSI-based signals, manage stop loss and take profit, and handle adjustable entry buffers. I can demo previous work if needed and keep the code clean and modular for easy tweaks. Let me know further information, if interested. Let me know further if interested.

@Cruz1217

Hi, I notice the RSI algo trading bot needs to generate buy/sell signals, which is where most bots fail due to poor risk management. I'd approach this by setting up a real-time data feed to check for RSI thresholds. My focus is on implementing a flexible stop loss and take profit system. In my experience, a common mistake is not accounting for trading fees, which can quickly eat into profits. I'll set up a buffer to adjust for these fees, and also implement a risk management system to limit exposure. The client can expect a fully functional bot that can be adjusted for different trading strategies, with a focus on minimizing losses.

@Vinay7758

Hi, I can develop the Python-based RSI trading bot with a clear and configurable strategy so the parameters can be adjusted without changing the core code. The bot can generate buy and sell signals based on RSI conditions, apply adjustable entry buffers, and automatically manage stop-loss and take-profit levels for each trade. I can structure it to separate strategy logic, market data, order execution and risk management, making it easier to test and modify the strategy later. I’ll also include proper logging and error handling so signals, orders, executions and failures can be tracked clearly. Before connecting to live trading, I would test the strategy using historical data and, where supported, a paper/demo trading environment. The final delivery will include the Python source code, configuration for RSI and risk parameters, setup instructions and testing results. Best regards, Vinay Khatri

@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

@aakaashberi

Hi, RSI bots usually go wrong on two things: firing repeated signals on every candle while RSI stays past the threshold, and acting on unclosed candles, which repaints. I'd trigger only on the cross on a closed candle, then apply your adjustable buffer to the entry price, with stop loss and take profit placed as broker-side orders so they still work if the script stops. What you get (Python): - RSI period, levels, buffer, SL/TP and quantity all in one config file - A backtest on historical data first, so you see how it behaves before risking money - Paper-trading mode, then live mode via your broker API - A log of every signal and order, plus Telegram alerts if you want them A working first version in 3 days. No promised returns; the bot follows your rules exactly. Rs 7,500 fixed. Which broker or exchange (Zerodha Kite, Angel One, Binance or other), and which instrument and timeframe will you trade? Aakaash

@Ritesh11gupta

Building that Python RSI trading bot sounds like a fun project. I have solid experience writing automated strategies. Which broker API are you planning to use for this?

@rakhshanz3

As a highly experienced technology professional with expertise in Python, AI, and Software Architecture, I am confident I can meet and exceed your expectations for your RSI Algo Trading Bot project. During my expansive career, I've had the chance to work on complex algorithmic trading systems that align with your project requirements. My proficiency in Python, knowledge of RSI and trading strategies combined with my AI skills make me an excellent fit for your project. I always maintain high coding standards by follows best practices and clean code

@prachia77

Hi, I can build the Python trading bot around your RSI strategy with the entry and risk-management rules kept configurable, so the logic can be tested and adjusted without rewriting the core system. The bot can handle RSI-based buy/sell signals, adjustable entry buffers, stop-loss and take-profit levels, position handling, and clear execution rules. I’ll structure the strategy logic separately from the broker/exchange integration so future changes to the indicator or trading parameters remain straightforward. My approach would be to first confirm the exact RSI conditions, timeframe, buffer calculation, SL/TP rules and order behaviour. I’ll then implement the strategy in Python, add validation for edge cases, and test the signal and order-management logic against historical/sample data before connecting it to live execution. The code will be modular and documented, with configurable parameters for RSI periods, thresholds, buffer, stop loss and take profit. I can also include logging so each signal and trade decision can be traced during testing. Share the exact RSI entry/exit rules and target trading platform/API, and I can confirm the implementation approach. Best Regards Prachi Webix Infotech

@alfatrade2

RSI alone gives noisy signals in ranging markets - I'd add a minimum bar-spacing or trend filter so the bot doesn't flip buy/sell on every touch of 30/70, unless you already have specific thresholds in mind? Which exchange or broker API are you connecting through for order execution, since stop loss/take profit logic differs between market and limit order handling. I've built FastAPI data pipelines and Python trading-adjacent scripts before, so backtesting the buffer logic against historical data first is where I'd start.

@indreshpnk

Hello, I understand you need a Python-based algorithmic trading bot using the RSI indicator to generate buy/sell signals, manage stop loss and take profit, and enter trades with an adjustable buffer. The goal is to deliver a reliable and configurable trading automation solution with clear risk-management logic. Here’s what I can provide: RSI-based buy/sell signal generation with configurable periods and thresholds Adjustable stop loss, take profit, and entry buffer parameters Clean Python architecture with configurable strategy logic, trade execution, logging, and error handling I bring over 4+ years of experience in Python, data analysis, software architecture, APIs, and backend development, with a strong focus on building reliable and maintainable applications. I can keep the strategy modular so RSI parameters and risk settings can be adjusted easily. Just to clarify a few things: Which trading platform or broker API should the bot integrate with? Do you already have specific RSI thresholds and stop-loss/take-profit rules in mind? Please come to the chat box to discuss more about your project. Best regards Indresh Kushwaha