Delta Exchange Options Autotrader

@Algokage

You can check my profile to see that I've just completed jobs on Pine Script strategies and webhook listeners. I am an experienced Pine Script developer with a proven track record of delivering high-quality, well-documented code. I understand the requirements of your project and can provide a solution that meets your needs. I will develop a Pine Script strategy that fires sell-option alerts based on the crossing of your chosen indicators and a webhook listener that catches those alerts and pushes the corresponding orders to Delta Exchange through their REST API. The position sizing, strike selection, and risk parameters will be configurable through a simple JSON or YAML file, allowing you to adjust them without touching the code. Thanks, Adegoke M.

@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 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.

@UzeeTech

Your setup is clean: TradingView fires a 200-EMA cross signal, and Delta Exchange needs to carry out the sell-option order with zero manual clicks. I'll build you the exact two pieces you're missing — a Pine Script strategy that emits precise alerts, and a lightweight middleware that turns those alerts into live orders. The Pine Script will encode your 200-EMA backbone plus the second EMA indicator, firing structured JSON alerts on every cross. A Node.js webhook listener will catch those alerts, read sizing, strike, and risk settings from a YAML config, and place sell-option orders via Delta Exchange's REST API with auth and error handling. I'll validate end-to-end on testnet and document setup in a README. Relevant experience: I've built B2B platforms and e-commerce systems with real-time API integrations, webhook handlers, and configurable backend services — the same architecture of reliable signal-to-execution pipelines that this autotrader needs. Two quick questions: for strike selection, delta-based ATM/OTM logic or a fixed offset? And should the middleware run on your server or a small cloud deployment? Happy to get your signals trading automatically once we lock the indicator rules.

@akhilkumarmehrin

Hello, I can build this TradingView to Delta Exchange automated options-selling system for you. I will create: * Pine Script strategy using the 200 EMA and your additional EMA indicator. * Buy/sell signals based on the crossover rules you provide. * TradingView alerts in JSON format. * A webhook server that receives the alerts automatically. * Delta Exchange API integration to place the required option sell orders. * Configurable quantity, strike, expiry, and other parameters through a simple config file. * Duplicate-order protection and basic error handling. * Delta Exchange testnet setup and end-to-end testing. * A simple README explaining installation, configuration, and usage. The complete flow will be: **TradingView → Webhook → Middleware → Delta Exchange → Option Sell Order** I have experience with Pine Script, TradingView webhooks, and exchange APIs, so I can keep the implementation simple, reliable, and easy to maintain. Once you share the additional indicator and exact entry/exit and strike-selection rules, I can start. Best regards, Naveen

@KaleRiddhesh

Hello, I have checked your project requirement and I can complete this TradingView -> Delta Exchange project in 3-4 Days. I have worked on Delta Exchange API before and this can be done too. If you have any questions click on "Chat" button and send messages. Also I will offer you the best price after discussing this project. Thank you so much

@Web1devloper

As an experienced developer for over 8 years, primarily focusing on crafting dynamic web and app solutions, I believe that I am the right fit for your project. One of my core competencies lies in API integration and REST API utilization, which aligns perfectly with your need for a Pine Script strategy and middleware to connect TradingView signals with Delta Exchange. Furthermore, my deep understanding of both the TradingView platform and exchange APIs affords me the capacity to design your strategy on Pine Script to produce precise sell-option alerts effectively. My determined approach guarantees that the compiled strategy will accurately mark entries/exits according to crossing-indicator rules - even ensuring it operates flawlessly on TradingView. What differentiates me is not just my skills but also my ability to adapt and tailor code based on individual user preferences. I'll make sure your configuration is designed as a simple JSON or YAML so you can effortlessly fine-tune position sizing, strike selection, and other risk parameters without having to dive into complex coding. A clear README would be provided for easy setup, environment variables handling, and parameter adjustment

@geiwoaichide

I can wire this end to end: a Pine Script strategy that fires alerts on your indicator/200-EMA cross, plus a small always-on middleware (webhook listener) that validates each alert and places the sell-option order on Delta Exchange - no manual clicks. Two things I'd confirm before starting: (1) which indicator is the second EMA input, and what exactly should the alert payload contain (symbol, expiry, strike selection rule, order size)? (2) do you already have Delta Exchange API keys with trading permissions, and can we test on their testnet or with small size first? My build plan: (1) Pine Script v5 strategy + alert messages with a signed token; (2) a small Node/Python service behind HTTPS with retry and idempotency so one alert can never double-fire an order; (3) order placement via the Delta Exchange REST API including expiry/strike selection; (4) logs plus a dry-run mode so you can verify behaviour before switching it live. If you share the second indicator and a sample of the trades you take manually, I'll send a short milestone plan.

@sams810

Hi there I read your post and the flow is clear. TradingView fires the signal and a webhook listener catches it and Delta Exchange gets a sell option order with no manual clicks in between. I can build both halves and show you the whole thing working on testnet.

@CVDLFourie

Creating an automated flow between TradingView and Delta Exchange is essential for streamlining your trading process. A useful approach could be to implement a logging mechanism that captures any errors during the webhook communications, ensuring any issues can be diagnosed quickly. I can provide a quick mockup of the Pine Script strategy and webhook listener to demonstrate how they will integrate smoothly with Delta Exchange. What specific indicators do you plan to use alongside the 200-EMA for the signal logic? Regards, CVDLFourie

@ThamerBaccouch

A TradingView alert only becomes a filled sell-option order on Delta Exchange if something in the middle validates the alert, resolves strike and expiry from your config, signs the request and confirms the fill. That middle piece is what I build most: Python services on FastAPI or Flask that take inbound webhooks and talk to third-party REST APIs, running on Linux or in Docker. The shape I'd deliver: a Pine Script strategy that emits a JSON alert with signal, symbol and direction, a listener that maps it to a Delta Exchange order using quantity, strike offset and expiry rules from a YAML file, plus a dry-run mode that logs the order before anything touches testnet. README with env vars and config walkthrough included. One thing I'd pin down first: should strike selection be the nearest OTM strike at a fixed distance from spot, or picked by delta? That decides whether the listener has to pull the option chain before every order. Thamer

@danielh176

Your TradingView → webhook → Delta Exchange workflow is a clear automation problem, and I can build it as a reliable signal-to-execution pipeline with no manual steps between the alert and order submission. I would structure the solution in three layers: • Build the Pine Script strategy around the 200-EMA and your additional EMA-based indicator, with precise entry/exit conditions and sell-option alerts • Create a lightweight Python or Node.js webhook service that securely receives TradingView alerts, validates the payload, and converts it into the correct Delta Exchange REST API order • Keep position sizing, strike selection, expiry, and risk parameters in a simple JSON/YAML configuration so you can change them without modifying the core logic • Add authentication, request validation, logging, error handling, and duplicate-alert protection • Test the complete signal → webhook → order flow using the Delta Exchange testnet • Provide a clear README covering environment variables, configuration, deployment, and parameter changes I’ll first confirm the exact indicator-crossing and option-selection rules, then implement and test each layer independently before running the end-to-end demo. The goal is a clean, maintainable automation pipeline that can move from TradingView signal to correctly configured sell-option order reliably. I’d be happy to build and test the complete workflow with you.

@TheKeepElision

From your brief, I need to build a Pine Script strategy that fires sell-option signals on your 200-EMA crossover plus the secondary indicator you'll share, and a webhook listener that wires those into Delta Exchange live orders. I'll code the strategy to compile and mark entries/exits based on your rules. The webhook server (Python) translates alerts to Delta REST API calls with correct quantity, strike, and expiry. Position sizing and strike go in a JSON config for easy tweaking. I'll demo on testnet and provide a README with setup, env vars, and parameter guidance. I've delivered API integrations and automation across REST APIs and financial data workflows. You get the Pine Script, listener server, sample config, docs, and a testnet demo showing signal-to-fill. Two revision rounds, all source files included. Share your secondary indicator and Delta testnet access, and I'll start today. Jeremy

@braing2

Hello, I built 7 products in 7 days, and every client I've worked with on Freelancer has said they'd hire me again. I've already shipped a live broker-API trading bot and Pine Script work, so here's how I'd wire yours: a bullish cross of the 200-EMA sells a put, a bearish cross sells a call, and the opposite cross buys it back with a reduce-only order. The Python listener picks the strike live from Delta's product and ticker data (ATM offset or target delta, set in YAML with quantity, expiry and max loss), checks a shared secret in each alert, and drops duplicate alerts so one signal never sells twice. Both parts are tested together on Delta's testnet before your demo, with a README covering every setting. Amul

@williamt282

Your requirement is a clean signal-to-execution pipeline: TradingView generates the exact strategy alert, a webhook validates it, and Delta Exchange receives the corresponding sell-option order automatically. I’m a C/C++/C# Software Engineer experienced in API development, backend integrations, automation, debugging, and building reliable software workflows. ? My approach: • Build the Pine Script strategy around the 200-EMA and your additional EMA-based indicator • Define precise crossover rules for entries and exits to avoid ambiguous signals • Create a lightweight webhook service to securely receive TradingView alerts • Validate the alert payload and map it to the correct option, strike, expiry, and quantity • Integrate Delta Exchange REST API with proper authentication, error handling, and order-status checks • Keep sizing, strike selection, expiry, and risk parameters in JSON/YAML configuration • Test the complete signal → webhook → Delta Exchange flow on testnet • Provide a clear README covering deployment, environment variables, configuration, and operation I’ll also structure the middleware so duplicate alerts, invalid payloads, API failures, and unexpected responses are handled safely rather than creating unintended orders. The final result will be easy to configure and maintain without changing the core code. I’d be happy to review your exact indicator rules and define the alert payload and execution flow for the first testnet milestone.

@Jafferi12

The Pine Script is the easy half. The real catch is the handoff: a TradingView alert knows the signal, but not which strike and expiry are live on Delta at that second. So the middleware has to pick them from your config at fire time, place the sell, and ignore a repeated alert so you never end up double short. I'd build it as a small Python webhook service, show you one full signal to fill run on Delta testnet, and hand over the README. Which timeframe is the 200 EMA cross on?

@vantoan2t

I can structure this as two auditable layers: a TradingView strategy/alert layer that emits only validated sell-option signals, and a small middleware service that maps those alerts into Delta Exchange REST orders with acknowledgement checks, retries, logging and fail-safe controls. My background is in rule-based trading systems, backtesting and broker-aware execution. I won’t claim prior Delta Exchange production metrics I cannot verify. I would first lock your exact EMA/crossover rules, validate alerts in TradingView, then paper-test the webhook-to-order flow before any live use. Deliverables include source, configuration, logs, setup notes and a repeatable test checklist.

@agunner6

Hi — I'm a Pine Script developer experienced with TradingView automation. I can build your Delta Exchange options autotrader: strategy logic in Pine Script with webhook-ready alerts for automated execution, backtested before delivery. Fast turnaround, revisions included.

@alexanderm635

Hi! I can build the full signal-to-order flow you described: TradingView fires the alert, a small webhook service places the sell-option order on Delta Exchange, no manual clicks. What I'll deliver: 1. Pine Script strategy: 200-EMA backbone + your second EMA-based indicator, entries/exits on the crossing rules we finalise, and alert() messages with a clean JSON payload (signal, symbol, side, timestamp, unique ID). 2. Webhook listener (Python): receives the alert, validates a secret token, ignores duplicates, picks strike and expiry from your rules and sends the sell-option order through Delta Exchange's REST API with correct quantity. 3. Config in a simple YAML/JSON file: position size, strike offset, expiry choice, max open positions and a kill switch, so you can tweak without touching code. 4. Logs of every alert and order, plus an end-to-end demo on Delta's testnet showing one automated sell order from signal to fill. 5. README with setup, environment variables and how to run it on a cheap VPS. About me: I write Pine Script daily (published scripts as AlexTraderuyu), including multi-timeframe indicators with alerts, and I've optimized strategies over thousands of parameter combinations. I'll test everything on testnet before any live use. Questions: which underlying do you sell options on (BTC, ETH?), and do you want the strike chosen by delta, by distance from spot, or ATM? Alex

@jiachengzhou

Hi, I can build this end-to-end: a Pine Script strategy built around the 200-EMA (with one additional EMA-based confirmation filter) that fires TradingView alerts on crossovers, plus a small webhook-listener middleware that captures the alerts and routes orders to Delta Exchange via the REST API — fully automated, no manual clicks. Position sizing, strike selection, and risk parameters will live in a JSON/YAML config, so you can tune the system without touching code. Sell-side options flow (strikes, expiry, margin) will be handled carefully in the middleware, with a dry-run/testnet mode before anything goes near a live order. Relevant experience: I develop TradingView indicators and strategies in Pine Script (verified work on GitHub), and have built TradingView alert → webhook integrations before. Deliverables: - Pine Script strategy that compiles with 0 errors, with alert() calls sending structured JSON payloads - Webhook listener (Python) that validates payloads and places sell-options orders via the Delta Exchange REST API - JSON/YAML config for sizing, strikes, risk limits, and a testnet/live toggle - End-to-end demo on the Delta Exchange testnet + README Plan: Days 1–2 strategy + alerts, Days 3–4 middleware + Delta API integration, Day 5 testnet demo + docs. Two quick questions: do you want market orders only, or limit orders with a max-slippage cap? And which strike convention — ATM ± N strikes? Thanks, Jiacheng