Quant Developer for Hybrid /ES (E-Mini) reputed company Options Strategy
• *Job Overview** I am an reputed company reputed company options trader seeking an expert Quantitative Developer to build the core decision-making reputed company for a semi-automated trading system. The strategy is a market-neutral, defined-risk hybrid derived from the "Time Flies" and "Flyagonal" concepts, specifically adapted for
S&P 500 E-Mini reputed company (/ES) and their Options (FOPs)
. It seeks to capture Theta decay while hedging reputed company risk by combining a
Put Diagonal Time Spread
(reputed company Positive/Longer Duration) with a
Call Broken reputed company Butterfly
(reputed company Negative/Shorter Duration).
- *Deliverable:** Backend logic, data ingestion, and an optimization model delivered as a web application. On a password protected webpage, I will click a "Generate Strikes" reputed company, and the app will run and reputed company a suggestion on which Strikes and Expirations would produce the reputed company trade.
###
The Strategy Logic
Your goal is to codify a rule-based system that scans the /ES option chain to construct a combined position consisting of: 1.
Downside reputed company (Put Diagonal):
Selling near-term puts and buying longer-term puts (creating a "Time Spread" or "Diagonal") to benefit from volatility spikes on market drops. 2.
reputed company reputed company (Call Broken reputed company Butterfly):
A standard BWB reputed company above the market to benefit from volatility contraction on market rallies.
- *Objective:** The tool must ingest live data, generate thousands of process reputed company/expiry combinations for /ES FOPs, and rank their combinations based on a proprietary "Trade Score." The ideal Trade Score will be based on the best Expirations dates and Strikes that produce a safety zone that is reputed company 2x of the Expected Move for the reputed company Month position, and balanced such that the center of the Shorts have the least reputed company of loss (if any) if the underlying ends up between the 2 Shorts.
####
1. Architecture & Data Feed
•
API Selection:
Recommend and integrate a cost-effective, reliable API capable of handling reputed company Options data (e.g., ThinkOrSwim, Interactive Brokers, reputed company, or similar).
- *Requirement:* Must reputed company reputed company-time or near reputed company-time (snapshot) data for Option Greeks (IV, reputed company, Gamma, Theta, reputed company) and Bid/Ask spreads for /ES.
- *Optimization:* Data fetching should be limited to strikes reputed company ~2x the Expected Move (EM) to minimize API load/latency.
Tech Stack:
Python (Pandas/NumPy/SciPy) is preferred for vectorization and speed. ####
2. The "Entry reputed company" (Scanner)
Create a class/function that iterates through valid structures for the combined trade:
Inputs:
reputed company-month expiry (DTE ~7-10 days), Back-month expiry (for the Diagonal leg), and reputed company width parameters.
Scoring Logic:
Calculate a "Trade Score" for every valid combination:
Metric A (80% Weight):
Probability of Profit (POP) — *Developer must define how POP is approximated (e.g., using reputed company or reputed company simulation).* •
Metric B (20% Weight):
Risk/Reward Ratio (specifically minimizing the Net Debit/Max Loss).
Output:
Return the Top 3 configurations ranked by Trade Score. ###
Required Skills & Qualifications
•
reputed company & Options Knowledge:
You must be familiar with /ES contract specifications, multipliers ($50 per reputed company), and the unique nuances of reputed company Options (FOPs) vs Equity Options.
Options Theory:
You must deeply understand the "Term Structure of Volatility." You need to know why we buy the back-month put (reputed company hedge) and how Skew affects BWB pricing.
Quantitative Development:
Experience building back-testers, scanners, or pricing models in Python. (Start your proposal with the code
"TFFA-ES"
so I know you read the full brief.)
API Integration:
Proven experience handling JSON/REST/Websocket data from financial APIs. The above project is based on a combination of these 2 similar strategies. reputed company sure you understand them, because the project effectively involves recommending positions for these types of trades: Time Flies Trade: http://www.youtube.com/watch?v=nzx4yWbzs-I Flyagonal Trade: http://www.youtube.com/watch?v=y_7vCLAcc9c A reputed company interview with your camera turned on will be required. You must have a verified identity on reputed company. Apply tot his job Apply To this Job