Custom Stock Day-Trading Strategy

@ZohaibRoy

⭐⭐⭐⭐⭐ Create a Day-Trading Playbook for Short-Term Stock Moves ❇️ Hi My Friend, I hope you're doing well. I've reviewed your project requirements and see you're looking for a clear day-trading playbook. Look no further; Zohaib is here to help you! My team has successfully completed 50+ similar projects for trading strategies. I will create a complete strategy covering market selection, entry and exit setups, risk management, and position sizing. This will be practical and easy to follow on platforms like Thinkorswim or TradingView. ➡️ Why Me? I can easily create your actionable day-trading playbook as I have 5 years of experience in stock market strategies, focusing on intraday trading, risk management, and technical analysis. My expertise includes creating clear guides, using historical data, and adapting strategies to market conditions. I also have a strong grip on tools like Excel and Google Sheets for trade journaling and alert generation. ➡️ Let's have a quick chat to discuss your project in detail, and I can show you samples of my previous work. Looking forward to our chat! ➡️ Skills & Experience: ✅ Day-Trading Strategies ✅ Market Analysis ✅ Risk Management ✅ Entry and Exit Setups ✅ Technical Indicators ✅ Price Action Trading ✅ Chart Analysis ✅ Trade Journaling ✅ Excel for Trading ✅ Google Sheets Automation ✅ TradingView Setup ✅ Thinkorswim Support Waiting for your response! Best Regards, Zohaib

@EightVeer

Hi there, We can build a clear intraday playbook focused on stock day-trading, with defined market selection rules, price-action or indicator-based entry and exit setups, and risk-management and position-sizing guidelines that can be applied in Thinkorswim or TradingView. We will also include Excel or Python tools for watch-list building, alerts, and trade journaling, plus a concise cheat sheet and screen-capture walkthrough. Our initial assumption is that this is an educational strategy package, not live trade execution. Best Regards, 8veer

@mubeenm5026

As an experienced Python developer at Web Crest, I have a unique combination of skills that make me an ideal fit for your project. I've worked extensively on AI-powered solutions, including algorithmic trading models and platforms, which aligns perfectly with your need for a custom stock day-trading strategy. With a strong understanding of SaaS and cloud technologies, I can streamline the often-complicated processes for you using platforms such as TradingView or Thinkorswim. My in-depth technical knowledge extends beyond Python to other tools that may benefit your trading strategy, such as Excel and Google Sheets. I can build on your checklist-driven approach by integrating simple yet powerful automation tools that will help generate alerts, streamline watch-list building and enhance trade journaling. My proven ability to create beginner-friendly yet detailed deliverables will ensure the material provided is suitable for immediate practice after backtesting, without compromising on vital information. In addition to my programming skills and experience, my team at Web Crest is dedicated to delivering secure, high-performance and future-ready solutions. This means not only will you receive a clear actionable day-trading playbook tailored exactly to your needs but also a concise checklist or cheat sheet along with a screen-capture walkthrough demonstrating actual chart setups and sample trades.

@PINESCRIPTERR

Hi, I can create a practical intraday stock-trading playbook in English with clear rules, chart examples, and risk controls. I’d structure it as an educational strategy guide, not profit promises: market selection, watchlist criteria, entry/exit setups, stop placement, position sizing, trade management, and rules for trending, ranging, high-volatility, and low-volume sessions. The guide can include exact indicator settings for TradingView/Thinkorswim, such as VWAP, EMA levels, volume filters, ATR-based stops, opening range logic, and price-action confirmation. I can also include historical chart examples, screenshots, a printable checklist, and optional Excel/Google Sheets tools for journaling, risk sizing, and watchlist filtering. The final package would include the written guide, cheat sheet, and a short walkthrough script or screen-recording outline showing chart setup and a sample trade workflow. I’ll keep it beginner-friendly but specific enough to back-test before live use. Question 1: Do you prefer a VWAP/EMA/ORB-style strategy, pure price action, or a hybrid system? Question 2: Which market do you trade most: large-cap stocks, small caps, ETFs, or options-linked equities? Regards, Houssame

@techplusintl

Hi, I can start immediately on creating a clear, actionable day-trading playbook tailored for short-term, intraday moves in the stock market. The solution will include a comprehensive strategy covering market selection, entry and exit setups, risk-management rules, and position-sizing guidelines. I will ensure that the material is practical, with examples using live or historical charts, and adaptable to various market conditions. If you require any specific technical indicators or price-action patterns, I will detail those clearly and provide necessary screenshots. Additionally, I can develop Excel, Python, or Google Sheets tools to enhance your trading experience. Happy to discuss the details.

@teodorgeorge

Hello, My work includes intraday stock playbooks focused on market selection, entry and exit setups, and risk control. I can structure the guide around Thinkorswim or TradingView, with exact indicator settings or clear price action rules. I will prepare a beginner-friendly PDF or Word guide, a printable checklist, and a short screen-capture walkthrough showing chart setup and a sample trade. The strategy will include examples for trending, ranging, high-volatility, and low-volume sessions, plus position sizing and journaling support if needed. Best regards, Teo

@huzaifarizwan995

I’d be excited to develop a practical, rules-based day trading playbook that is designed for real-world execution rather than theory. My approach is to create a structured guide covering every stage of the trading process—from pre-market preparation and watchlist creation to trade execution, risk management, and post-trade review. The strategy will include clearly defined entry and exit rules, position sizing formulas, maximum daily risk limits, and trade management techniques that can be applied consistently across different market environments, including trending, ranging, high-volatility, and low-volume sessions. Where technical indicators are used, I’ll specify the exact settings and explain how they complement price action, while every setup will be illustrated with annotated historical charts to reinforce the decision-making process. Alongside the main guide, I’ll provide a concise printable checklist, a trade journaling template (Excel or Google Sheets), and practical tools to streamline watchlist management and performance tracking. The package will also include a short screen-recorded walkthrough demonstrating chart setup and a sample trade, ensuring the material is beginner-friendly, actionable, and ready to be back-tested before being used in live markets.

@vishal1145

Your strategy will fail without a robust back-testing engine that accounts for slippage, commission drag, and survivorship bias. Most retail day-trading systems look profitable on paper but collapse when you factor in real execution costs and data-snooping bias. Quick questions - what is your average daily volume threshold for stock selection, and are you planning to run this strategy on a single symbol or rotate across a watch list? And what is your maximum acceptable drawdown before you halt trading? Here is the architectural approach: - PYTHON: Build a vectorized back-testing framework using pandas and numpy that ingests minute-level OHLCV data, calculates your indicators with exact parameter sets, and outputs equity curves with Monte Carlo simulation for robustness testing. - EXCEL + STATISTICS: Design a position-sizing calculator that dynamically adjusts risk per trade based on ATR volatility and account equity, ensuring you never exceed 2% risk per position regardless of market regime. - DATA VISUALIZATION: Create TradingView Pine Script indicators and Python Plotly dashboards that overlay entry/exit signals on historical charts, color-coded by win/loss outcome and annotated with actual P&L per trade. I have built algorithmic trading systems for 2 hedge funds that processed 500+ intraday signals daily without manual intervention. Let's schedule a 20-minute technical call to validate your indicator logic before you risk capital on untested rules.

@datacode0023

Hello, I have over 7 years of experience working on AI projects and have successfully contributed to multiple projects in this field. I am an AI/ML engineer with a Master’s degree in Artificial Intelligence and hands-on experience building trading automation, prediction-market tools, real-time data pipelines, dashboards, and AI-powered analysis systems. I would be happy to discuss how my experience and expertise can support your needs. Please feel free to contact me to discuss further. Have a nice day.

@toriquldev123

Hello There! I’m Md Toriqul Islam, and I’m excited to partner with you. I can dive into your project immediately. I have experience in data analysis, Python automation, Excel tools, technical documentation, and creating structured workflow guides. I understand you need a clear intraday trading playbook covering market selection, entry/exit setups, risk management, position sizing, chart setups, and practical examples for platforms like TradingView or Thinkorswim. I can help organize the strategy into a professional guide with checklists, visual explanations, journaling tools, and easy-to-follow documentation. I am skilled in Python, Excel/Google Sheets automation, data analysis, research documentation, chart-based analysis, and creating user-friendly guides. I’m ready to start immediately and would be happy to discuss your preferred trading style, target market, indicators, and the level of detail required for the final materials. Looking forward to hearing from you. Best regards, Md Toriqul Islam

@prashanpatel557

Hi, I understand you’re looking for a practical, beginner-friendly intraday trading playbook that includes clear entry/exit rules, risk management, position sizing, chart examples, and supporting tools that can be used immediately after proper backtesting. I have extensive experience developing intraday trading strategies, Pine Script indicators, Python trading utilities, stock screeners, backtesting tools, and TradingView-based systems. I can provide a structured strategy guide, printable checklist, historical chart examples, and optional Python/Excel tools for watchlist creation and trade journaling. One question before we begin: Which market and timeframe (US stocks, Indian stocks, 1m, 5m, etc.) should the strategy be optimised for? If this matches your requirements, I’d be happy to discuss the details and build a practical trading package tailored to your workflow.

@alizain721

Hello, I will deliver a complete, actionable intraday day trading playbook covering market selection, proven entry and exit setups, risk management rules, and position sizing, with platform specific guidance for Thinkorswim and TradingView, a printable checklist, and a five to ten minute screen capture walkthrough. The guide will spell out exact indicator names and settings where used, plain language price action pattern criteria with annotated screenshots, and concrete examples adapted to trending, ranging, high volatility, and low volume sessions. I built a Python backtester that evaluated 1,200 historical intraday trades and I will include reproducible notebooks or Google Sheets tools for watchlist filters, alert generation, and a turnkey trade journal template. Happy to jump on a quick chat to confirm any preferences. Ali Zain

@SkillCrafts

I understand you need a robust, actionable day-trading strategy, similar to the detailed technical analysis reports I've previously developed for high-frequency trading firms that focus on intraday volatility. My expertise lies in dissecting market microstructure and identifying exploitable short-term patterns. My approach will involve developing a multi-indicator system, likely incorporating volume profile analysis, order flow data (if accessible via your platform), and a confluence of momentum indicators like RSI and MACD, specifically tuned for intraday timeframes. We'll define precise entry triggers based on price action breakouts and pullbacks within established intraday trends, alongside strict exit conditions for both profit-taking and loss mitigation. Risk management will be paramount, with clearly defined stop-loss placements and position sizing calculated dynamically based on current volatility and account risk tolerance. The final playbook will include annotated chart examples demonstrating these setups in action. How do you currently define your risk tolerance on a per-trade basis, and are there any specific asset classes within the stock market you prefer to focus on for intraday trading? I'm eager to discuss how we can build a strategy that aligns perfectly with your objectives.

@XRProConnect

Hi, Aashiq here from Cape Town, South Africa. This project instantly caught my eye, so I had to reach out. I see you’re looking for a comprehensive day-trading playbook focusing on short-term intraday moves. It’s clear you want a strategy that includes market selection, entry and exit setups, and risk management tailored for real-time application. With years of experience helping traders refine their strategies, I specialize in creating actionable guides that drive results. I can provide examples using live charts and adapt rules for varying market conditions. Feel free to request samples of successful projects I’ve completed. Based on what you mentioned, here is how we would approach the project: - Develop a detailed strategy guide with clear entry, exit, and risk management rules. - Create a concise checklist for easy reference. - Produce a short screen-capture walkthrough showcasing the setup and sample trade. You can count on clear communication and a seamless, user-focused solution optimized for performance using relevant technologies. Best Regards, Aashiq

@mayr81

Innovatively Inclusive, here’s a complete intraday day-trading strategy guide built for short-term execution on TradingView or Thinkorswim. You’ll get: (1) a written playbook (PDF/Word) covering market selection, session rules, and distinct entry/exit setups for trending, ranging, high-volatility, and low-volume days; (2) risk-management and position-sizing rules with clear max-loss, stop placement logic, and daily drawdown limits suitable for real-time application; (3) fully specified indicator settings (or, where price-action is primary, exact pattern criteria in plain language), plus practical examples tied to live/historical chart scenarios. To support “in real time,” included are turnkey tools for watch-list building, alerts, and trade journaling workflow using Excel/Google Sheets/Python-friendly templates (easy to maintain). A printable cheat sheet (checklist) distills every rule into an at-a-glance format. Finally, a 5-10 minute screen-capture walkthrough demonstrates chart setup and a sample trade from setup selection through entry, exit, and post-trade review, optimized for beginners yet detailed enough after back-testing.

@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 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.

@dataspro

Nice to meet you , It is a pleasure to communicate with you. My name is Anthony Muñoz, I am the lead engineer for DSPro IT agency and I would like to offer you my professional services. I have more than 10 years of working as a Backend and Software developer, I have successfully completed numerous jobs similar to yours therefore, and after carefully reading the requirements of your project, I consider this job to be suitable to my area of knowledge and skills. I would love to work together to make this project a reality. I greatly appreciate the time provided and I remain pending for any questions or comments. Feel free to contact me. Greetings

@melopgabriel

Hi, your brief is clear: you need a practical intraday stock-trading playbook, not theory. I can turn that into a beginner-friendly guide built around real chart behavior, exact indicator settings, and rules you can follow live in Thinkorswim or TradingView. I’ve created trading docs, checklists, and walkthrough-style material before, including setups built from price action, risk rules, and trade journaling tools. For this project, I’d organize the strategy around market selection, entry and exit triggers, position sizing, and condition-specific adjustments for trending, ranging, high-volatility, and low-volume sessions. I’d keep everything actionable: plain-language rules, chart examples, a printable cheat sheet, and a short screen-capture flow that shows the setup and a sample trade from start to finish. If you’d like, I can start by outlining the strategy structure and deliverables in a clean first draft. Best regards, Gabriel

@PrateekP3003

Hello! As per your project post, you are looking to create a comprehensive, beginner-friendly day trading playbook focused exclusively on intraday stock trading. The objective is to deliver a practical, rule-based trading framework that covers market selection, trade execution, risk management, and journaling, enabling traders to confidently back-test and apply the strategy using platforms such as Thinkorswim or TradingView. My focus will be on developing a structured strategy guide covering market preparation, watchlist creation, entry and exit criteria, position sizing, risk management, technical indicator configurations (or price action rules), trading psychology, and adapting the strategy to trending, ranging, high-volatility, and low-volume market conditions. I'll also include annotated chart examples, a printable trading checklist, and optional Excel, Google Sheets, or Python-based tools for watchlist management, alert generation, and trade journaling, along with a concise screen-recorded walkthrough demonstrating the complete trading workflow. I specialize in Python, TradingView (Pine Script), financial data analysis, Excel automation, Google Sheets, technical analysis, algorithmic trading tools, dashboard development, and workflow automation. My focus is on delivering practical, well-documented trading resources that are easy to understand, simple to maintain, and designed to support disciplined, repeatable decision-making. Best regards, Prateek