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I need a concise but insightful technical analysis of selected NSE stocks built exclusively around Exponential Moving Averages. Please pull recent price data, plot the relevant EMAs, and interpret the crossovers and trend strength so I can quickly spot potential entries, exits, and trailing-stop levels. Alongside the narrative explanation, include: • Clean, well-labelled charts in a shareable format (PNG or PDF) • A short paragraph for each stock summarising the current EMA signals and likely next moves • A table of recommended time-frames for intraday, swing, and positional views Feel free to complement the EMA work with any supporting statistics you believe add clarity, but keep the focus firmly on EMA behaviour. Accuracy, clarity, and practical trading takeaways are the key acceptance criteria.
Project ID: 40507318
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11 freelancers are bidding on average ₹2,536 INR for this job

Hi, I'm a data analyst, statistician, and economist with over six years of experience. I understand the requirements of your project and have the skills to deliver high-quality results.
₹1,050 INR in 1 day
6.1
6.1

Hi, I am a data analyst/statistician and Economist with more than 6 years of experience. I can do your project, Please take time to check my profile and then you decide to contact me.
₹1,050 INR in 1 day
5.6
5.6

Hello, I can help create a professional EMA-based technical analysis report for selected NSE stocks, including charts, crossover analysis, trend strength evaluation, and actionable trading insights. I have experience with Python, Pandas, TA-Lib, Plotly/Matplotlib, and stock market analytics for NSE equities. What I will deliver: • Latest price analysis for your selected NSE stocks • Multi-EMA study (e.g., 20 EMA, 50 EMA, 100 EMA, 200 EMA) • Bullish/Bearish crossover identification • Trend strength and momentum assessment • Dynamic support/resistance using EMAs • Suggested entry, exit, and trailing stop zones • Intraday, Swing, and Positional timeframe recommendations Report Includes: • Clean PNG/PDF charts with EMA overlays • Stock-wise summary and trading outlook • Trend classification table • EMA crossover status and signal strength • Risk/reward observations where applicable Output Formats: • PDF report • PNG chart pack • Excel summary table (optional) Tech Stack: Python, Pandas, NumPy, TA-Lib, Matplotlib, Plotly Timeline: 2–4 days, depending on the number of stocks. Please share: • List of NSE stocks to analyze • Preferred EMA periods (or I can use standard 20/50/100/200 EMA) • Whether you want only current analysis or historical crossover performance as well I can start immediately once the stock list is provided.
₹15,000 INR in 4 days
5.1
5.1

My name is Zeenat and I am not only an expert in Data Analysis, but I'm also well-versed in the world of finance. I acknowledge that in the NSE EMA Technical Analysis project you require a keen understanding of Exponential Moving Averages (EMA) and their impact on stock trends - something I am intimately familiar with. Over my decade-long career, I've honed these skills by using tools like Python, R and Excel to successfully conduct various financial analyses including EMA analysis for different clients. Additionally, being a QA specialist, my strict adherence to accuracy and quality makes sure my work is flawless and meets the highest standards. I offer not just data visualization but a comprehensive analysis that provides reliable solutions. For your needs, this means delivering well-labelled charts in easily-shareable formats (PNG or PDF) alongside substantial narratives that point out all important factors including EMA crossovers, trend strength as well as a clear understanding of entry, exit and trailing-stop levels. Your satisfaction is my priority and my experience guarantees it. Choose to work with me and rest assured I will not only meet your needs but exceed them. My clarity, quality, top-notch communication skills and proven track record of success make me an ideal fit for this project. Let's collaborate on this important project and pave the way for making quality data-driven decisions towards maximizing profits!
₹600 INR in 1 day
3.7
3.7

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
₹3,000 INR in 7 days
2.7
2.7

Hi I will deliver a clear EMA-focused technical analysis of your selected NSE stocks, highlighting trend direction, crossover signals, potential entry/exit zones, and practical trailing-stop levels based on recent market data. I understand the focus is on actionable EMA behavior, supported by clean visuals and concise insights rather than overly complex indicators. What you'll get: • Well-labelled EMA charts in PNG or PDF format • Stock-by-stock analysis with crossover and trend-strength interpretation • Recommended intraday, swing, and positional timeframes table • Clear entry, exit, and trailing-stop observations I’m a verified freelancer and I’ve completed similar projects with 5⭐ feedback for accuracy and delivery. Timeline: 1–2 days Bid: 1200 INR Please send me a message so we can get started immediately.
₹1,200 INR in 1 day
2.5
2.5

Hello! I understand you need a technical analyst who can advise you a trading strategy using EMAs. As a freelancer, this is my area of expertise! I have institutional access to Bloomberg and refinitiv, so extracting NSE data won’t be an issue. For the technical analysis part, especially analysing EMAs, I can write a detailed Python code, with clear logic and markdowns that explains everything. This would help you interpret the crossovers and trend strength so you can quickly spot potential entries, exits, and trailing-stop levels. In fact, I propose to build a Tableu dashboard, that is dynamic for every stock and shows the relevant visualisation, trends, EMA, analysis for each stock. I have similar working samples related to analysing stocks and creating technical indicators and would love to share them with you. Let’s discuss further details in chat. Regards, Taha
₹1,050 INR in 7 days
2.7
2.7

Akola, India
Payment method verified
Member since Jul 23, 2024
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