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double close = 5; int64 vol = 6; int64 ts = 7; } enum Type{ initial_feed = 0; live_feed = 1; market_info = 2; } message MarketFullFeed{ LTPC ltpc = 1; MarketLevel marketLevel = 2; OptionGreeks optionGreeks = 3; MarketOHLC marketOHLC = 4; double atp = 5; //avg traded price int64 vtt = 6; //volume traded today double oi = 7; //open interest double iv = 8; //implied volatility double tbq =9; //total buy quantity double tsq = 10; //total sell quantity } message IndexFullFeed{ LTPC ltpc = 1; MarketOHLC marketOHLC = 2; } message FullFeed { oneof FullFeedUnion { MarketFullFeed marketFF = 1; IndexFullFeed indexFF = 2; } } message FirstLevelWithGreeks{ LTPC ltpc = 1; Quote firstDepth = 2; OptionGreeks optionGreeks = 3; int64 vtt = 4; //volume traded today double oi = 5; //open interest double iv = 6; //implied volatility } message Feed { oneof FeedUnion { LTPC ltpc = 1; FullFeed fullFeed = 2; FirstLevelWithGreeks firstLevelWithGreeks = 3; } RequestMode requestMode = 4; } enum RequestMode { ltpc = 0; full_d5 = 1; option_greeks = 2; full_d30 = 3; } enum MarketStatus { PRE_OPEN_START = 0; PRE_OPEN_END = 1; NORMAL_OPEN = 2; NORMAL_CLOSE = 3; CLOSING_START = 4; CLOSING_END = 5; } message MarketInfo { map segmentStatus = 1; } message FeedResponse{ Type type = 1; map feeds = 2; int64 currentTs = 3; MarketInfo marketInfo = 4; } ## upstox_client/feeder/market_data_streamer_v3.py at master · upstox/upstox-python https://github.com/upstox/upstox-python/blob/master/upstox_client/feeder/market_data_streamer_v3.py # upstox_client/feeder/market_data_streamer_v3.py - Branch: master - Repository: upstox/upstox-python --- from .market_data_feeder_v3 import MarketDataFeederV3 from .streamer import Streamer from .proto import MarketDataFeedV3_pb2 from google.protobuf import json_format class MarketDataStreamerV3(Streamer): Mode = { "LTPC": "ltpc", "FULL": "full", "OPTION": "option_greeks", "D30": "full_d30" } def __init__(self, api_client=None, instrumentKeys=[], mode="ltpc"): super().__init__(api_client) self.protobufRoot = MarketDataFeedV3_pb2 self.api_client = api_client self.instrumentKeys = instrumentKeys self.mode = mode self.subscriptions = { self.Mode["LTPC"]: set(), self.Mode["FULL"]: set(), self.Mode["OPTION"]: set(), self.Mode["D30"]: set(), } if mode not in self.Mode.values(): raise Exception(f"Invalid mode provided {mode}") # Populate initial subscriptions if provided for key in instrumentKeys: self.subscriptions[mode].add(key) def connect(self): self.feeder = MarketDataFeederV3( api_client=self.api_client, instrumentKeys=self.instrumentKeys, mode=self.mode, on_open=self.handle_open, on_message=self.handle_message, on_error=self.handle_error, on_close=self.handle_close) self.feeder.connect() def subscribe_to_initial_keys(self): for mode, keys in self.subscriptions.items(): if keys: self.feeder.subscribe(list(keys), mode) def subscribe(self, instrumentKeys, mode): if not self.feeder: raise Exception("WebSocket is not open.") if self.is_invalid_mode(mode): return self.feeder.subscribe(instrumentKeys, mode) self.subscriptions[mode].update(instrumentKeys) def unsubscribe(self, instrumentKeys): self.feeder.unsubscribe(instrumentKeys) for mode_keys in self.subscriptions.values(): mode_keys.difference_update(instrumentKeys) def change_mode(self, instrumentKeys, newMode): if not self.feeder: raise Exception("WebSocket is not open.") if self.is_invalid_mode(newMode): return self.feeder.change_mode(instrumentKeys, newMode) # Remove keys from all modes for mode in self.Mode.values(): self.subscriptions[mode].difference_update(instrumentKeys) # Add keys to the new mode self.subscriptions[newMode].update(instrumentKeys) self.mode = newMode def clear_subscriptions(self): for mode_keys in self.subscriptions.values(): mode_keys.clear() def decode_protobuf(self, buffer): FeedResponse = self.protobufRoot.FeedResponse return FeedResponse.FromString(buffer) def handle_open(self, ws): self.disconnect_valid = False self.reconnect_in_progress = False self.reconnect_attempts = 0 self.subscribe_to_initial_keys() self.emit(self.Event["OPEN"]) def handle_message(self, ws, message): decoded_data = self.decode_protobuf(message) data_dict = json_format.MessageToDict(decoded_data) self.emit(self.Event["MESSAGE"], data_dict) def is_invalid_mode(self, mode): if mode not in self.Mode.values(): self.emit(self.Event["ERROR"], f"Invalid mode provided {mode}") return True return False ## Market Data Feed V3 - Upstox Developer API https://upstox.com/developer/api-documentation/v3/get-market-data-feed/ The Market Stream Feed V3 provides real-time market updates, including the latest trading price, close price, open price, and more, through a WebSocket connection. The feed utilizes Protobuf encoding, which requires decoding messages using the provided Market Data V3 Proto file. ... Once connected, you can subscribe to the required`instrumentKeys` by specifying the method and mode based on your needs. Ensure that the subscription request adheres to the V3 format. Incoming data from the feed must be decoded using Protobuf and the provided`.proto` file, properly adapted to your programming language for compatibility. The following table lists the defined limits for the feeder, which must be adhered to for uninterrupted data streaming. ... ```json { "guid": "13syxu852ztodyqncwt0", "method": "sub", "data": { "mode": "full", "instrumentKeys": ["NSE_INDEX|Nifty Bank"] }} ``` ... | Value | Description | | --- | --- | | sub | Default mode is ltpc unless specified by user. | | change_mode | Change the mode of already-subscribed instrument key/s (for example, from`ltpc` to`full` or`full_d30`) without re-subscribing. Instrument key/s and the target`mode` are mandatory. | | unsub | Unsubscribe instrument key/s with further updates. | ... Mode field values ... | Value | Description | | --- | --- | | ltpc | Contains only the latest trading price (LTP) and close price (CP) changes. | | option_greeks | Contains only option greeks. | | full | Includes LTPC, 5 market level quotes, extended feed metadata, and option greeks. | | full_d30 | Includes LTPC, 30 market level quotes, extended feed metadata, and option greeks. | ... API does not ... a typical JSON response. Instead, upon successful authentication, it automatically redirects the client to the appropriate websocket endpoint where market updates can be received in real-time. Users are expected to handle data streams as per the websocket protocol once the redirection is complete. ... for LTPC ... ```json { "type": "live_feed", "feeds": { "NSE_FO|45450": { "ltpc": { "ltp": 219.3, "ltt": "1740729552723", "ltq": "75", "cp": 494.05 } } }, "currentTs": "1740729566039"} ... ### Live Feed ... - LTPC ... - Option Greeks - Full - Full D30 (Plus) ... ```json { "type": "live_feed", "feeds": { "NSE_FO|45450": { "ltpc": { "ltp": 219.3, "ltt": "1740729552723", "ltq": "75", "cp": 494.05 } } }, "currentTs": "1740729566039"} ``` ... | Name | Type | Description | | --- | --- | --- | | type | string | Present in live feed, indicating the nature of the data. | | feeds | object | Includes updates for instrumentKeys requested. | | ltpc | object | Details of LTP information | | ltpc.ltp | number | Last traded price | | ltpc.ltt | string | Last traded time (timestamp). | | ltpc.ltq | string | Last traded quantity | | ltpc.cp | number | Closed price | | feeds.currentTs | number | Timestamp of the received tick | ## README.md https://github.com/upstox/upstox-python/blob/master/README.md ## Documentation for Feeder Functions ... Connecting to the WebSocket for market and portfolio updates is streamlined through two primary Feeder functions: ... 1. **MarketDataStreamer**: Offers real-time market updates, providing a seamless way to receive instantaneous information on various market instruments. 2. **PortfolioDataStreamer**: Delivers updates related to the user's orders, enhancing the ability to track order status and portfolio changes effectively. ... ### MarketDataStreamer ... The `MarketDataStreamerV3` interface is designed for effortless connection to the market WebSocket, enabling users to receive instantaneous updates on various instruments. The following example demonstrates how to quickly set up and start receiving market updates for selected instrument keys: ... ### Exploring the MarketDataStreamerV3 Functionality ... - **ltpc**: ltpc provides information solely about the most recent trade, encompassing details such as the last trade price, time of the last trade, quantity traded, and the closing price from the previous day. - **full**: The full option offers comprehensive information, including the latest trade prices, D5 depth, 1-minute, 30-minute, and daily candlestick data, along with some additional details. - **option_greeks**: Contains only option greeks. - **full_d30**: full_d30 includes Full mode data plus 30 market level quotes. ... 1. **constructor MarketDataStreamerV3(apiClient, instrumentKeys, mode)**: Initializes the streamer with optional instrument keys and mode (`full`, `ltpc`, `option_greeks` or `full_d30`). 2. **connect()**: Establishes the WebSocket connection. 3. **subscribe(instrumentKeys, mode)**: Subscribes to updates for given instrument keys in the specified mode. Both parameters are mandatory. 4. **unsubscribe(instrumentKeys)**: Stops updates for the specified instrument keys. 5. **changeMode(instrumentKeys, mode)**: Switches the mode for already subscribed instrument keys. 6. **disconnect()**: Ends the active WebSocket connection. 7. **auto_reconnect(enable, interval, retryCount)**: Customizes auto-reconnect functionality. Parameters include a flag to enable/disable it, the interval(in seconds) between attempts, and the maximum number of retries. ... - **open**: Emitted upon successful connection establishment. - **close**: Indicates the WebSocket connection has been closed. - **message**: Delivers market updates. - **error**: Signals an error has occurred. - **reconnecting**: Announced when a reconnect attempt is initiated. - **autoReconnectStopped**: Informs when auto-reconnect efforts have ceased after exhausting the retry count. ... these functions and events, providing a practical ... DataStreamerV ... . 1. Subscribing to Market Data on Connection Open with MarketDataStreamerV3 ... (): configuration ... streamer ... setting the corresponding flag to ` ... the `PortfolioDataStreamer` class. ## upstox-python/examples at master · upstox/upstox-python · GitHub https://github.com/upstox/upstox-python/tree/master/examples This folder contains ready-to-use Python samples for the Upstox API. Each example shows how to call the API using the official Upstox Python SDK(`upstox_client`). ... - Quick start — Copy-paste examples for common flows (login, orders, market data, portfolio). - Correct usage — Request/response patterns, error handling, and API version usage as recommended by Upstox. - Reference — See how to structure`PlaceOrderRequest`, historical data params, and other API payloads. ... Samples are grouped by API area. Each`.md` file contains one or more Python snippets you can run after replacing placeholders like`{your_access_token}` and`{your_client_id}`. ... | Folder | Description | | --- | --- | | login/ | Authentication: get token from auth code, access-token request, logout. | ... | user/ | User profile, fund and margin details, IP management, kill switch. | | orders/ | Order lifecycle: place (single/multi, v2 & v3), modify, cancel, order book, order details, order history, trades, historical trades, exit all positions. | | portfolio/ | Positions, holdings, MTF positions, convert positions. | | market-quote/ | LTP, full market quotes, OHLC (v2 & v3), option Greeks. | | historical-data/ | Historical and intraday candle data (v2 & v3). | | option-chain/ | Option contracts, put-call option chain. | | expired-instruments/ | Expiries, expired future/option contracts, expired historical candle data. | ... | market-information/ | Exchange status, market timings, market holidays, OI, change in OI, PCR, max pain, FII, and DII. | ## proto error · Issue #86 · upstox/upstox-python https://github.com/upstox/upstox-python/issues/86 9\n\x04LTPC\x12\x0b\n\x03ltp\x18\x01 \x01(\x01\x12\x0b\n\x03ltt\x18\x02 \x01(\x03\x12\x0b\n\x03ltq\x18\x03 \x01(\x03\x12\n\n\x02\x63p\x18\x04 \x01(\x01\"P\n\x0bMarketLevel\x12\x41\n\x0b\x62idAskQuote\x18\x01 \x03(\x0b\x32,.com.upstox.marketdatafeeder.rpc.proto.Quote\"G\n\nMarketOHLC\x12\x39\n\x04ohlc\x18\x01 \x03(\x0b\x32+.com.upstox.marketdatafeeder.rpc.proto.OHLC\"Q\n\x05Quote\x12\n\n\x02\x62q\x18\x01 \x01(\x05\x12\n\n\x02\x62p\x18\x02 \x01(\x01\x12\x0b\n\x03\x62no\x18\x03 \x01(\x05\x12\n\n\x02\x61q\x18\x04 \x01(\x05\x12\n\n\x02\x61p\x18\x05 \x01(\x01\x12\x0b\n\x03\x61no\x18\x06 \x01(\x05\"z\n\x0cOptionGreeks\x12\n\n\x02op\x18\x01 \x01(\x01\x12\n\n\x02up\x18\x02 \x01(\x01\x12\n\n\x02iv\x18\x03 \x01(\x01\x12\r\n\x05\x64\x65lta\x18\x04 \x01(\x01\x12\r\n\x05theta\x18\x05 \x01(\x01\x12\r\n\x05gamma\x18\x06 \x01(\x01\x12\x0c\n\x04vega\x18\x07 \x01(\x01\x12\x0b\n\x03rho\x18\x08 \x01(\x01\"\xbf\x02\n\x13\x45xtendedFeedDetails\x12\x0b\n\x03\x61tp\x18\x01 \x01(\x01\x12\n\n\x02\x63p\x18\x02 \x01(\x01\x12\x0b\n\x03vtt\x18\x03 \x01(\x03\x12\n\n\x02oi\x18\x04 \x01(\x01\x12\x10\n\x08\x63hangeOi\x18\x05 \x01(\x01\x12\x11\n\tlastClose\x18\x06 \x01(\x01\x12\x0b\n\x03tbq\x18\x07 \x01(\x01\x12\x0b\n\x03tsq\x18\x08 \x01(\x01\x12\r\n\x05\x63lose\x18\t \x01(\x01\x12\n\n\x02lc\x18\n \x01(\x01\x12\n\n\x02uc\x18\x0b \x01(\x01\x12\n\n\x02yh\x18\x0c \x01(\x01\x12\n\n\x02yl\x18\r \x01(\x01\x12\n\n\x02\x66p\x18\x0e \x01(\x01\x12\n\n\x02\x66v\x18\x0f \x01(\x05\x12\x0e\n\x06mbpBuy\x18\x10 \x01(\x03\x12\x0f\n\x07mbpSell\x18\x11 \x01(\x03\x12\n\n\x02tv\x18\x12 \x01(\x03\x12\x0c\n\x04\x64hoi\x18\x13 \x01(\x01\x12\x0c\n\x04\x64loi\x18\x14 \x01(\x01\x12\n\n\x02sp\x18\x15 \x01(\x01\x12\x0b\n\x03poi\x18\x16 \x01(\x01\"l\n\x04OHLC\x12\x10\n\x08interval\x18\x01 \x01(\t\x12\x0c\n\x04open\x18\x02 \x01(\x01\x12\x0c\n\x04high\x18\x03 \x01(\x01\x12\x0b\n\x03low\x18\x04 \x01(\x01\x12\r\n\x05\x63lose\x18\x05 \x01(\x01\x12\x0e\n\x06volume\x18\x06 \x01(\x05\x12\n\n\x02ts\x18\x07 \x01(\x03\"\xf8\x02\n\x0eMarketFullFeed\x12\x39\n\x04ltpc\x18\x01 \x01(\x0b\x32+.com.upstox.marketdatafeeder.rpc.proto.LTPC\x12G\n\x0bmarketLevel\x18\x02 \x01(\x0b\x32\x32.com.upstox.marketdatafeeder.rpc.proto.MarketLevel\x12I\n\x0coptionGreeks\x18\x03 \x01(\x0b\x32\x33.com.upstox.marketdatafeeder.rpc.proto.OptionGreeks\x12\x45\n\nmarketOHLC\x18\x04 \x01(\x0b\x32\x31.com.upstox.marketdatafeeder.rpc.proto.MarketOHLC\x12P\n\x0c\x65\x46\x65\x65\x64\x44\x65tails\x18\x05 \x01(\x0b\x32:.com.upstox.marketdatafeeder.rpc.proto.ExtendedFeedDetails\"\xbc\x01\n\rIndexFullFeed\x12\x39\n\x04ltpc\x18\x01 \x01(\x0b\x32+.com.upstox.marketdatafeeder.rpc.proto.LTPC\x12\x45\n\nmarketOHLC\x18\x02 \x01(\x0b\x32\x31.com.upstox.marketdatafeeder.rpc.proto.MarketOHLC\x12\x11\n\tlastClose\x18\x03 \x01(\x01\x12\n\n\x02yh\x18\x04 \x01(\x01\x12\n\n\x02yl\x18\x05 ... upstox.marketdatafeeder.rpc.proto.Feed:\x02\x38\x01*\'\n\x04Type\x12\x10\n\x0cinitial_feed\x10\x00\x12\r\n\tlive_feed\x10\x01\x62\x06proto3') ## Upstox API - Market Feeder - Sample for Dynamic Subscription https://gist.github.com/Rahulzz/9a64739647f6469771816001d85d15ba # Upstox API - Market Feeder - Sample for Dynamic Subscription - Owner: Rahulzz - Created: 2024-01-30T00:51:56Z - Public: yes - Comments: 0 - Forks: 1 ## upstox_market_feeder_dynamic_subscription.py Language: Python import asyncio import json import ssl import websockets from google.protobuf.json_format import MessageToDict import MarketDataFeed_pb2 as pb import upstox_client async def establish_connection(configuration): api_version = '2.0' api_instance = upstox_client.WebsocketApi( upstox_client.ApiClient(configuration)) api_response = api_instance.get_market_data_feed_authorize(api_version) ssl_context = ssl.create_default_context() ssl_context.check_hostname = False ssl_context.verify_mode = ssl.CERT_NONE websocket = await websockets.connect(api_response.data.authorized_redirect_uri, ssl=ssl_context) print('Connection established') return websocket async def subscribe_instruments(w... 3c:o9,127:T673,3c:o673,## Announcements | Upstox Developer API https://upstox.com/developer/api-documentation/announcements ## Analytics Token now Supports Portfolio & Trade APIs via Static IP ... The Analytics Token — a single read-only token with 1-year validity — now unlocks account-specific APIs via Static IP ... can analyze your portfolio, positions, holdings, orders, and profit & loss without daily re ... 10, 2026 ... ## Static IP Management APIs ... Two new endpoints — GET and PUT`/user/ip`— are now available for reading and updating user-level static IP addresses required for algo trading compliance. ... ## Important Updates – Algo Registration & Static IP RequirementImportant ... The Exchange has issued a significant circular dated May 5, 2025, to enhance the safety of retail investors participating in Algo trading. ## Announcements | Upstox Developer API https://upstox.com/ Trade & Invest: Online Share Market Trading App in India | Upstox Join 2 Crore+ Indianswho trust us for # Trading & Investing +91 Open Demat Account By continuing, I accept Upstox's T&C and Privacy policy Open Demat Account ## 4.5+ Avg. app rating Backed by the Best InvestTradeLearn ## Upstox for Investors Invest Right, Invest Now in Stocks, Mutual Funds, and IPOs ## Investment Ideas ## News & Insights ## Order Placement Top rated Funds | Best for Beginners | Top 30 actively traded Stocks ## Upstox Pro for Traders Powerful trading in Equities, Futures, Options, Commodities and Currencies made simple ## Powerful Charting ## Powerful Discovery ## Powerful Execution TradingView | 8 charts at once | 100+ indicators | 80+ Drawing tools 3c:oa,128:T41d2,3c:o41d2,# NIFTY 09:15 Live Options Bot ## Confirmed scope Deliver a standalone, modular Python CLI project for Ubuntu/AWS EC2, not a dashboard or Vercel-hosted trading service. The user's latest answers supersede conflicting attachment requirements: - Trade **NIFTY ATM options only**, with **CE or PE selected by the operator for each session**; do not invent a directional signal. - Support **live execution**, requiring explicit daily arming and confirmation of saved risk settings. - Load an operator-provided **daily Upstox access token**; no TOTP/PIN automation, OAuth implementation, or unnecessary API-secret storage. - Use supported **V3 market streaming and order execution**. Retain V2 only for still-supported account, order-status, and portfolio-feed endpoints. - Use **bot-managed target/stop exits only**. Do not submit resting stop-loss, GTT, bracket, or other broker-held protective orders. - Include terminal logging, optional Telegram alerts, complete Protobuf decoding, tests, and the requested tmux/systemd deployment guide. This is engineering assistance, not a profitability claim or a promise of exact-opening-tick/sub-second fills. With no broker-held stop, a crashed process, expired token, lost connection, rejected order, or illiquid market can leave a position open and losses can exceed the configured stop. ## Repository findings and implementation location The repository contains an untouched Next.js starter, with no Python sources or existing trading implementation. Leave the web application and JavaScript dependencies unchanged. Create the standalone project at `/vercel/share/v0-project/trading_bot/`. Modify the existing root `/vercel/share/v0-project/.gitignore` only to exclude Python environments, secrets, caches, logs, and runtime state while retaining example configuration files. ### Deliverable files All paths below are under `/vercel/share/v0-project/trading_bot/`: - `main.py`: CLI commands, preflight, per-session arming, orchestration, and signal handling. - `config.py`, `settings.example.toml`, `.env.example`: validated saved strategy/risk settings and secret-loading contract. - `auth.py`: load and validate the daily token; masked account banner and actionable authentication errors. - `instruments.py`: current NSE JSON instrument-master download/cache, contract filtering, expiry/ATM selection, and lot/tick/freeze validation. - `websocket_stream.py`: asynchronous V3 market stream, full binary Protobuf decoder, market-status handling, and reconnect/resubscription. - `orders.py`: asynchronous broker REST client, portfolio order-update stream, order lifecycle, fills, cancellations, and reconciliation. - `strategy.py`: opening trigger, single-trade state machine, risk checks, target/SL detection, and controlled exits. - `models.py`, `utils.py`, `state.py`: typed records, price/time helpers, single-instance locking, and durable session/order journal. - `logger.py`, `telegram_logger.py`: Rich terminal output, structured local logs, and nonblocking Telegram delivery. - `proto/MarketDataFeed.proto`, `proto/MarketDataFeed_pb2.py`, `proto/__init__.py`: official complete V3 schema and compatible generated decoder; no stub or truncated implementation. - `requirements.txt`, `requirements-dev.txt`, `pyproject.toml`: tested dependency pins and test/lint configuration. - `tests/`: deterministic broker, clock, instrument, and stream fixtures plus unit/integration tests. - `deploy/nifty-open-bot.service`, `README.md`: the explicitly requested Ubuntu setup, tmux/systemd commands, operating procedures, and recovery instructions. Use Python 3.12, `asyncio`, pooled `httpx` clients, `websockets`, `protobuf`, `python-dotenv`, and `rich`. Use standard-library TOML parsing, Decimal, zoneinfo, SQLite, and POSIX file locking. Keep blocking work off the market-processing loop. Omit unused synchronous SDK/login/dataframe dependencies rather than including `pyotp`, `requests`, or pandas without a purpose. Pin the Protobuf runtime and generation tooling compatibly and document regeneration from the official schema. ## Runtime design ### 1. Configuration, secrets, and daily authorization - Default invocation is non-trading help/check behavior. No source file, import, example configuration, test, or default command may place orders. - Require explicit saved positive values for lots, target points, stop-loss points, maximum premium spend, entry price buffer, entry/fill deadlines, maximum holding duration, and pre-close exit cutoff. Example risk values must remain non-tradable until the operator supplies them; do not silently adopt the attachment's example targets/stops. - Treat premium spend as the gross option purchase budget, not a guaranteed loss cap or an all-in fee-inclusive amount. Explain fees separately. - Include an explicit expiry-day eligibility setting. Select the nearest eligible listed expiry from current data; do not hardcode an expiry weekday, lot size, token, or strike interval. Show the chosen date and weekly/monthly classification during confirmation. - Store only `UPSTOX_ACCESS_TOKEN` and optional `TELEGRAM_BOT_TOKEN` / `TELEGRAM_CHAT_ID` in a local private environment file. Supply templates, not real secrets. Require private file permissions and redact tokens, authenticated URLs, Telegram token paths, and account identifiers from logs/exceptions. - Validate the token and NSE derivatives access using supported read-only account endpoints. Surface expired/revoked/read-only-token errors without attempting undocumented refresh/login flows. - Provide `check`, `arm`, and `run` commands. `arm` prompts for CE/PE and explicit confirmation of the risk summary and the absence of broker-held protection. Persist a private, date-bound approval tied to account and configuration hash. `run --live` requires that approval and repeats preflight; changing settings invalidates it. Systemd consumes the same approval rather than bypassing confirmation. - Use a single-instance lock and persist session consumption/entry intent so a restart cannot create a second opening entry. Never automatically rearm the next day. ### 2. Pre-market preparation and instrument selection - Prepare before 09:15 IST, normally around 09:14. Use `Asia/Kolkata` for trading dates and times, monotonic clocks for deadlines/latency, and document host clock synchronization. - Download and validate the current NSE JSON master, cache it atomically, and allow only a verified current-session cache if downloading fails. Reject corrupt/stale caches, expired contracts, or missing metadata. - Match the exact NIFTY underlying and `NSE_FO` CE/PE instruments, not broad substring matches that also select BANKNIFTY or other indices. - Derive quantity in units from configured integer lots and the selected contract's lot size. Validate minimum lot, freeze quantity, and broker limits. Keep automatic slicing disabled and reject oversize requests. - Normalize instrument tick-size units against the authoritative broker representation; use Decimal and test unit conversion/rounding. Never confuse lot size with price tick size. - Check trading-day/session availability and existing relevant orders/positions. Refuse new entry where pre-existing activity makes position ownership ambiguous; do not cancel or liquidate unrelated manual positions. - Establish market and portfolio feeds before entry. Subscribe to the underlying and a bounded neighborhood of candidate strikes for the selected direction, then recompute ATM from the first eligible fresh opening update. Use a deterministic tie rule and record the selected strike. If the chosen contract is outside the warmed subscription set, obtain a fresh quote within the entry deadline or skip the trade. ### 3. V3 feed and opening trigger - Obtain a fresh authorized V3 WebSocket URL for each connection; the authorization URL is single-use. Send subscription requests as binary JSON as required by Upstox. - Decode `FeedResponse` directly using the complete official schema. Handle market-info, initial/live feeds, LTPC, index full-feed, option full-feed, and absent fields safely. Use full quotes for option bid/ask checks; avoid JSON conversion in the hot path. - Track feed envelope time, instrument last-trade time where available, receipt time, and market segment status separately. A newly received snapshot or heartbeat is not proof of a fresh executable quote. - Only permit the opening entry at or after **09:15:00 IST**, within a configured short entry window, with NSE derivatives in normal trading and fresh valid underlying/option data. Reject premature, stale, malformed, out-of-order, and delayed/replayed triggers. Do not place AMO orders or catch up with a late entry after missing the window. - Describe execution as the first eligible opening update observed by this client, not the exchange's guaranteed first tick. Record measurable latency without claiming exchange proximity or HFT guarantees. ### 4. Order execution and position accounting - Implement explicit states such as `DISARMED`, `PREPARING`, `WAITING_OPEN`, `ENTRY_PENDING`, `OPEN`, `EXIT_PENDING`, `FLAT`, `ABORTED`, and `RECOVERY_REQUIRED`. - Use a **marketable LIMIT BUY bounded by the confirmed premium budget and configured price buffer**. Round correctly to the contract tick size; skip entry if the available ask exceeds the permitted price. Do not use an unbounded MARKET BUY that would invalidate the budget check. - Journal an order intent and unique tag before submitting. Parse V3 `data.order_ids`; an HTTP success/order ID is acknowledgement, not a fill. Keep ownership scoped to this bot's instrument, account, tags, and session. - Confirm execution with portfolio updates and REST order/trade reconciliation. Maintain cumulative quantities and actual weighted fill prices, including partial, rejected, cancelled, duplicate, late, and out-of-order updates. - If entry only partially fills, cancel outstanding entry quantity within the configured deadline and reconcile cancellation/fill races. Monitor risk on confirmed exposure immediately; resolve the remaining entry before sizing an exit. Do not count the intended quantity as a filled position. - Anchor target and stop thresholds to confirmed fill prices, not signal LTP or submitted limit price. Recalculate correctly if cumulative entry fills change. - Trigger exits on fresh target/SL ticks, configured maximum holding duration, or the confirmed pre-close cutoff. Latch exit intent before any await so simultaneous triggers cannot issue duplicate SELL orders. - Use Upstox-supported protected MARKET SELL requests with automatic market protection, rather than the prohibited unprotected `market_protection=0`. Market protection can constrain/prevent fills and is not a broker-held stop-loss. Reconcile partial/rejected exits and sell only confirmed residual bot-owned quantity, accounting for pending SELL orders. - Never blindly retry a timed-out order submission. First query broker state using the known order ID/tag and journal. If acceptance or position ownership remains ambiguous, stop further mutations, keep reconciling, and prominently request manual intervention. - Enforce shared broker rate limits across place/modify/cancel operations and bounded read polling. Avoid request floods during failures and prioritize exit/reconciliation work. - Report realized **gross P&L before fees** from matched actual fills; distinguish estimates, unrealized P&L, and unresolved exposure. Do not fabricate net returns or report `FLAT` before broker-confirmed reconciliation. ### 5. Failure handling and shutdown - Reconnect with bounded exponential backoff/jitter and resubscribe using new authorization URLs. Block new entries whenever data/order state is unhealthy. - During an open position, attempt fresh REST-quote fallback while reconnecting so configured target/SL rules can still operate. Continue order/position reconciliation independently of market-data recovery. Do not evaluate stale quotes as current prices. - Holding/session deadlines remain active while the process is running; attempt a controlled exit through the order API when it is reachable. If authentication, connectivity, or broker state prevents an exit, persist unresolved exposure and alert the operator. No software fallback can protect a position while the process/server is down. - Store session, intent, order IDs, fills, and pending exposure durably in local SQLite. On restart, enter reconciliation/recovery mode; never infer flatness from missing local state or replay the opening entry. Persist conservative uncertainty if broker and local records disagree. - SIGINT/SIGTERM initiates cancellation/reconciliation and a best-effort exit of this bot's confirmed exposure, not an account-wide square-off. If shutdown must finish with unresolved exposure, record and report it explicitly for manual broker-app handling. - Close WebSockets, HTTP clients, and background tasks cleanly after confirmed completion; give notification delivery a bounded drain period. Telegram failures must not delay orders or crash the trading engine. ### 6. Logging and deployment - Log IST timestamps, order state, signal-to-submit duration, request/ack latency, broker-reported latency, fill-observation latency, trade duration, and realized gross P&L as distinct measurements. - Optional Telegram alerts cover authentication/preflight, arming, submissions, fills, target/SL triggers, errors, disconnects, and final outcome. Only trade metadata goes to the configured chat; never tokens or complete account data. - The README will provide exact Ubuntu commands for Python/venv installation, dependency setup, secure configuration, clock synchronization, offline tests, read-only preflight, daily arming, and tmux attach/detach/run procedures. - Include a non-root systemd service with a private environment file, explicit working/state directories, date-bound approval, graceful stop behavior, and no automatic fresh-entry restart/rearming. Explain recovery after a failure and why simply stopping the service does not guarantee an exit. - Document Upstox's current static-IP/app requirements and use of an EC2 fixed egress IP/Elastic IP. Provide setup guidance but do not provision AWS resources, register IPs, modify broker account settings, or submit live orders during development. Send an algo-name header only if an applicable approved strategy is configured by the user. ## Verification and acceptance Use offline fake broker transports, generated Protobuf fixtures, and a controllable clock. Automated tests must never use a real token, Telegram chat, or order endpoint. Cover: - Invalid/expired tokens, missing secrets, unsafe file permissions, invalid/incomplete risk settings, lot/freeze checks, and price-unit rounding. - Expiry/ATM selection, expiry-day eligibility, monthly/weekly metadata, NIFTY-only matching, cache freshness, and holidays. - Binary decoding of all supported feed shapes, stale snapshots, missing fields, bad frames, disconnect/reconnect, and freshness expiry. - The 09:15 boundary, late startup, closed market, duplicate/replayed opening updates, and absent fresh ATM quotes. - Confirmation/config-hash validation, expired/consumed approvals, concurrent instances, and restart recovery. - Partial entry/exit fills, cancellation races, rejected orders, duplicate/out-of-order updates, accepted-but-timed-out submissions, and no accidental short positions. - Concurrent target/stop/deadline signals produce one coordinated exit; manual account activity is never liquidated indiscriminately. - Feed failure, REST fallback, API throttling, Telegram failure, graceful termination, and honest unresolved-position reporting. - Accurate fill-based gross P&L and redaction of secrets/authenticated URLs. Run the offline test suite, syntax/import checks, and linting. Any real authenticated connectivity check is a separately invoked, read-only operator step. 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