Convert PDF Trading Setups to Code

@sdqtrades

Upon reading your project requirements and all provided details, I am super-confident in my trading development skills and years of experience (especially with pine script indicator/strategy/study for Tradingview platform) to develop this trading tool as you described. # NDA - All your ideas are 100% confidential. # Intellectual Property - You have full ownership of the software and source code. # Fast and Quality delivery. We shall communicate much better on your project when you open a chat with me. Eni O.

@vishal1145

Your biggest risk is indicator drift — Pine Script's built-in RSI and Python's ta-lib RSI can produce different values on the same candle because of rounding and lookback logic. If the signals don't align perfectly, your backtest results will be meaningless and you'll deploy strategies that behave differently in production than they did in testing. Quick questions - are you using a specific Python backtesting framework (Backtrader, Zipline, VectorBT), or do you need me to recommend one that guarantees parity with TradingView? And do any of your PDFs reference custom indicators beyond the standard library, or is everything EMA/RSI/SuperTrend level? Here is the architectural approach: - PINE SCRIPT V5: Build each strategy as a modular function library so shared logic (ATR stops, position sizing) isn't duplicated across all 12 scripts, then compile against TradingView's strict v5 syntax to eliminate runtime errors. - PYTHON BACKTESTING: Use pandas-ta with explicit parameter matching to Pine's built-ins, then write a candle-by-candle validator that compares signal timestamps between both environments and flags any divergence before you backtest. - ALGORITHMIC TRADING: Structure entry/exit conditions as pure boolean logic separated from plotting code so you can later plug the same rules into live execution without rewriting the strategy layer. I've built signal-matching systems for 4 prop trading firms where a single candle mismatch cost thousands in slippage. Let's start with one PDF so I can show you the validation process before we scale to the full set.

@pravalika1995

Hi, I am algo trading for over 8 years now and have coded and implemented several algo strategies during this time for my employers. With my background and expertise in algo trading, i believe i can assist you on this project. Happy to answer any questions on chat.

@prashanpatel557

Hello, I can convert your 10–12 PDF trading setups into both Pine Script v5 and Python backtesting modules, while keeping the logic consistent candle-by-candle. I’ll carefully implement the exact indicators, parameters, entry/exit rules, and conditions from each PDF, with reusable and well-commented code. I’ll first complete one setup, validate the Pine and Python signals against identical data, and then proceed with the remaining setups in batches. Deliverables: - Pine Script v5 for every setup - Python 3.10+ equivalent - Matching entry/exit signals - Modular, reusable structure - Comments explaining the logic and parameters - Compilation/testing and signal validation I have practical experience with Pine Script, Python, Pandas, technical indicators, backtesting, and trading automation. I can start with the first PDF and provide an initial working version for validation before scaling to the complete set.

@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.

@Shrutibimpl

Hello, I can translate your ten to twelve PDF strategy documents into Pine Script v5 scripts and matching Python backtesting modules. My plan is to review each PDF rule set and map out the exact indicator math parameters and entry exit triggers. I can write clean Pine Script v5 code using built in functions for indicators like EMA RSI and SuperTrend. On the Python side I can build equivalent strategy modules using Python 3.10 with pandas-ta or ta-lib. I can align the mathematical calculations including indicator smoothing and signal execution timings so that the Python backtest signals match the TradingView alerts candle for candle on identical OHLC data. I can also add detailed inline comments explaining the logic and parameter definitions. In a past project I built dual Pine Script v5 and Python pandas-ta strategy libraries that achieved exact candle by candle signal parity across multiple technical indicators. 1) Do you prefer using pandas-ta ta-lib or vectorbt for the Python technical indicator calculations and backtesting framework? 2) Are the strategy rules in the PDFs designed for specific timeframes such as 5-minute or 1-hour candles? 3) Do you want the Pine Script code formatted as strategies for backtesting or as indicators with alert triggers? Thanks, Bharat

@richard031596

You need all 10 to 12 PDF strategies reproduced consistently in Pine Script and Python, with identical candle-by-candle signals rather than two implementations that only look similar. I have experience converting rule-based trading setups into Pine Script and Python backtests, including EMA, RSI, ATR, and SuperTrend logic. I previously implemented the same strategy in TradingView and Python, then resolved signal differences caused by indicator warm-up periods, ATR smoothing, candle timing, and next-bar execution. I will build shared Python indicator and signal modules, keep each strategy independently configurable, and validate entries and exits against exported TradingView data. The first setup can be converted and tested within 2 to 3 days, after which the remaining strategies can be delivered in verified batches. Do the PDFs define whether signals execute at candle close or at the next candle open, including fees, slippage, stop-loss, and take-profit behaviour?

@mahads31

As an experienced developer specializing in translating complex tasks into clean, efficient code, I am well-equipped to meet your unique project requirements. I have a strong background in Python development and have worked extensively on TradingView (Pine Script v5) and Python back-testing environments. This means I bring a deep understanding of how these platforms function, enabling me to accurately convert your trading setups into functional code that aligns perfectly with your PDFs. In addition to my technical skills, I place a high premium on producing clean, maintainable code that can be easily understood and tweaked if needed. This will ensure that you have full control over the adjustments you may need to make to fit your future needs. My attention to detail guarantees that none of the instructions will be missed, all the way from matching parameters precisely to providing inline comments that explain calculations thoroughly. I understand time is of the essence for you; hence let me assure you of my commitment to delivering excellent results within the agreed-upon timeframe. My work ethic revolves around efficiency without compromising quality- a skill honed with years of working with startups and growing businesses just like yours. With me as your technology partner, you can expect reliable delivery, effective problem-solving approach and a long-term professional relationship. Let's kick-start this project together!

@Algokage

Hello, I hope you're doing well. I am an experienced trading strategy developer with over 4 years of expertise in translating trading strategies into code, specifically in Pine Script and Python. I understand the need for precise implementation of indicators like EMA, RSI, and SuperTrend, ensuring consistency between TradingView and Python environments. My approach will be to carefully read each PDF, replicate the logic exactly as written, and deliver clean, well-commented scripts that align candle for candle across both platforms. I deliver clean, well-documented code and will ensure modularity for reusability across the set. Let’s discuss the project further so I can clarify any questions about indicator specifics and provide an expected turnaround for the initial conversion. Thanks, Adegoke M.

@alluankit01

Hi, I can convert your 10–12 PDF trading setups into clean Pine Script v5 and matching Python 3.10+ backtesting modules. My approach will be to first implement one strategy as a sample, confirm signals match your PDF logic, then continue the remaining setups in batches. I’ll carefully match each indicator, setting, entry rule, exit rule, stop/target condition, and filter exactly as written. I’m comfortable with Pine Script v5, TradingView indicators, Python backtesting, pandas, pandas-ta/ta-lib, vectorbt-style workflows, EMA, RSI, SuperTrend, signal alignment, and modular strategy code. Deliverables: * Pine Script v5 for each setup * Python module for each setup * Matching entry/exit signals * Indicator parameters copied exactly * Clean reusable code structure * Inline comments for logic * No TradingView compile warnings * Basic signal verification support Initial conversion timeline: 1–2 days for the first strategy after receiving PDFs, then batch delivery for the rest after approval. I’ll focus on faithful rule implementation and candle-by-candle consistency between Pine and Python. I will not promise trading profits, but I will ensure the code follows the supplied strategy logic accurately. Best regards Ankit

@Sahyadri96

Completed projects till now 1) Python + DhanAPI +Excel + VBA option scalping strategy 2) Python 21 EMA and 9 EMA crossover strategy on DhanAPI 3) Google sheet + FyersAPI trading 4) Google sheet + Algomojo + Upstox 5) Tradetron Banknifty option scalping strategy 6) Excel 2600 NSE 10 years data 7) Copytrading using python 8) Tradetron Supertrend + MACD Crossover Strategy 9) Dhan option chain with Greeks in Google spreadsheet via Google Appscript 10) Backtesting of Nifty options for wait and trade strategy 11) Trigger orders for Dhan Nifty options 12) Shoonya API:- Wait and trade strategy 13) Tradetron: RSI + ADX + EMA strategy 14) Python Moving avarage channel trading Algo 15) Kotak Neo: Turtle scalping strategy for options 16) Fyers Filtered option chain in Excel 17) Binance Bitcoin tradingview strategy python bot 18) Fyers Tradingview python bot 19) Dhan Python order manager I can deliver any project in Trading. Readymade setups for Python available

@KaleRiddhesh

Hello, I have checked your requirement about decode PDF Setup into Pine Script v6 + Python for algo trading. You can hit that "Chat" button to start discussion and complete this project deal ?

@Web1devloper

I’m Harsh, an experienced Data Analyst with a knack for translating complex data into actionable strategies. My expertise in Python and robust understanding of analytics tools enable me to transform your PDF trading setups into well-commented, error-free, and functional scripts - both on TradingView and Python's back-testing environment. Over my 8+ years in the field, I've worked with various data visualization tools like Power BI, Tableau, and Looker, which aligns with the nature of your project where consistency matters. Moreover, my proficiency in ETL & Data Engineering guarantees smooth conversions and cross-platform compatibility. Efficient communication breeds excellent results. Throughout the process, I assure you to maintain clear transparency - seeking clarifications whenever necessary and providing cohesive, modular codes that are reusable across strategies. Additionally, my extensive experience in finance will be particularly useful for this project as trading strategies require deep industry knowledge to ensure accurate translation. Let's not just convert these strategies into code but also unlock their full potential!

@shayankhan333

Hello, I will convert your 10-12 PDF trading setups into matching Pine Script v5 and Python 3.10+ modules, using the exact indicators and settings named in each PDF so signals align candle for candle. I can start today. For parity, I will map Pine built-ins to pandas-ta or ta-lib equivalents and verify entries and exits on the same dataset before moving to the next batch. Questions: 1) Can you share one PDF now so I can confirm indicator parity? 2) Which Python library do you prefer: pandas-ta, ta-lib, or vectorbt? Looking forward to discussing further. Regards, Shayan.

@winston052790

Hello, I hope this message finds you well. I am reaching out regarding your project to convert PDF trading setups to code. With my expertise in Python, Pine Script, backtesting, algorithmic trading, and TradingView, I am confident in my ability to faithfully translate your trading strategies into working code. I am committed to delivering clean, well-commented scripts that align consistently across both TradingView and Python environments. I look forward to discussing this opportunity further and am eager to get started on this project. Thank you. Warm regards, Winston

@rafa099

The main risk here is not translating indicator names; it is preventing silent differences between Pine and Python caused by warm-up periods, NaN handling, candle timing, crossover semantics, and indicator-library defaults. I propose a paid first milestone for one complete setup: 1. convert the PDF rules into an explicit entry/exit specification and flag any ambiguity before coding, 2. implement a warning-free Pine Script v5 strategy with editable inputs, 3. implement the same rules in Python 3.10+ using a pinned indicator stack, 4. run both versions against the same OHLCV fixture and produce a timestamped signal-comparison CSV, 5. resolve parity differences and deliver commented source plus run instructions. My INR 12,500 / 5-day bid covers that first strategy and the reusable module/test structure. Once it passes your acceptance dataset, I will quote the remaining 9-11 setups in batches based on their actual complexity instead of assuming every PDF is equivalent. I work on Python data pipelines, validation, testing, and deterministic rule implementation. I will implement the strategy exactly as specified but will not claim or promise trading profitability. Please send the first PDF, the target market/timeframe, representative OHLCV data, commission/slippage assumptions, and whether signals execute on bar close or the next bar.

@elioh071

The critical requirement is candle-for-candle consistency between Pine Script v5 and Python, so the first setup should be treated as a reference implementation before converting the remaining 10–12 strategies. I’d begin by extracting each PDF rule into explicit entry, exit, filter, indicator, and parameter definitions, resolving any ambiguity before coding. I’ll implement the TradingView version in Pine Script v5 and reproduce the same calculations in Python using an appropriate indicator library where practical. I’ll pay particular attention to candle indexing, lookback periods, signal timing, and avoiding accidental look-ahead so both versions behave identically on the same data. After the first strategy, I’d compare both implementations against identical historical candles and verify signal alignment before applying the established structure to the remaining setups. The code will remain modular and commented so indicator values and strategy parameters are easy to adjust later. Can you provide the first PDF setup and the historical data format you plan to use for validating the Pine and Python signals?

@bizvivo

I am a seasoned trading software developer, data scientist, and full stack engineer with 20+ years of combined experience delivering enterprise grade solutions. I 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. I have 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

@yaroslavb22

Thanks for detail. I have solid experience in Pine Script, Python multi strategy trading and backtesting systems. So I know this workflow well. I can make you get good result quickly. Thanks Yaroslav