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Please create a clear, accurate payoff graph that combines both future ,call and put options in a single view. I want to be able to enter basic contract details—strike, premium, and quantity for each leg—and instantly see the resulting profit-and-loss curve across a sensible price range. Feel free to code this in Python (Matplotlib, Plotly, or similar) or build it in Excel/Google Sheets if that’s faster; usability matters more than the specific tool. As long as I can tweak inputs later without touching the underlying formulas or script, I’m happy. Key points • Both future , call and put positions must be supported and shown together. • Net payoff should be highlighted, with individual legs optionally visible for clarity. • Label breakeven points, max gain/loss, and include interactive hover values or an easy-to-read data table beside the chart. *** muje manuali price and profit edit karne ke sath payoff graph ka change or strick price ka change show hona sahiye, greek ko show hona sahiye , leg ko sepret pnl ke sath show hona sahiye. or real time or peper trading legs deploy hona sahiye , Deliverables 1. Working file or notebook with clean, documented code/formulas. 2. A sample graph generated from test inputs so I can confirm accuracy. 3. Brief usage notes explaining how to modify strikes, premiums, and quantities.
Projektin tunnus (ID): 40327495
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5 freelancerit tarjoavat keskimäärin ₹1 488 INR/tunti tätä projektia

Hi, we can help you with your Options/Futures Payoff Graph with Greeks & Paper Trading. We offer lifetime bug fix guarantee. As Milvetti, we help traders automate their strategies. Price is an estimate and may vary by scope.
₹2 000 INR 2 päivässä
5,2
5,2

Your payoff graph will fail the moment you add a fourth leg or try to model time decay - most freelancers build static charts that break when Greeks shift or you need real-time position tracking. Before I architect this, I need clarity on two things: First, when you say "real time legs deploy," are you pulling live market data from a broker API (Zerodha, Interactive Brokers) or is this paper trading with manual price updates? That determines whether I build a REST API integration or a local calculation engine. Second, what's your expected position complexity - are we handling simple spreads (iron condor, butterfly) or multi-leg synthetic positions with 8+ contracts? This affects how I structure the Greeks calculation (Black-Scholes vs binomial tree for American options). Here's the architectural approach: - PYTHON + PLOTLY: Build an interactive dashboard where dragging strike prices updates P&L curves in real time, not static Matplotlib charts that require re-running the script. - GREEKS CALCULATION: Implement vectorized NumPy functions for Delta, Gamma, Theta, Vega that recalculate instantly when you adjust inputs - no manual formula editing. - MODULAR LEG SYSTEM: Each option leg (future, call, put) gets its own P&L class with separate breakeven logic, so adding a fifth position doesn't require rewriting the entire payoff function. - EXCEL FALLBACK: If you need client-facing simplicity, I'll build a Google Sheets version with Apps Script that auto-updates Greeks and charts without exposing formulas - just input cells and a refresh button. - PAPER TRADING INTEGRATION: Set up a JSON config file where you can log entry prices and track unrealized P&L against current spot price, with export to CSV for trade journals. I've built similar tools for 4 prop trading desks where traders needed sub-second payoff updates during volatile sessions. The key difference - my systems handle edge cases like early assignment risk and dividend adjustments that break basic calculators. Quick question - do you need this to handle Indian market specifics (NSE lot sizes, STT calculations) or is this for US options? Let's discuss the Greeks accuracy requirements before I start coding.
₹1 688 INR 30 päivässä
5,5
5,5

As a software developer and tech connoisseur with over 7 years of experience, I am uniquely equipped to bring your Option Payoff Graph Builder project to life. My expertise extends across a wide range of languages and frameworks, including Python, the very tool that you favor for this project. I am proficient in using Matplotlib and Plotly, which are perfect for the task at hand. Moreover, my extensive background also covers Artificial Intelligence projects where I have utilized Python effectively. This puts me in a unique position to not only build the Payoff Graph but also introduce unique features like 'real time' or 'paper trading' legs deployment if needed. Occupying various sectors such as mobile application development, cloud computing, SEO etc has also given me impeccable organizational skills which improves my output and timeliness. My commitment remains meeting client's expectations which I believe I exemplify through an indictable profile like mine! Let's get started on this pact together.
₹1 250 INR 40 päivässä
6,4
6,4

Bengaluru, India
Liittynyt lokak. 8, 2023
₹12500-37500 INR
$250-750 USD
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₹100-400 INR/ tunnissa
₹12500-37500 INR
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₹12500-37500 INR
$750-1500 USD
$250-750 AUD
$5000-10000 USD
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$10-30 USD
₹750-1250 INR/ tunnissa
£750-1500 GBP
₹1500-12500 INR
€1500-3000 EUR
min ₹2500 INR/ tunnissa
$750-1500 USD