Custom Trading API Bot

@wpexpert0141

Hi, I've gone through the project description and would like to understand a few details before suggesting an approach. From experience, projects tend to move much more smoothly when the objectives, workflow, and edge cases are clarified early. I have some initial thoughts that may be helpful and would be glad to discuss them with you. Looking forward to connecting. Shiv,

@mykhaylob4

✋ Hi there. I can build a compact Python trading bot that connects with Kotak Neo and Upstox APIs, tracks live P/L, blocks new orders, and squares off positions once your loss limit is hit. ✔️ I have solid experience building trading automation tools using REST APIs, WebSocket streams, async Python, broker SDKs, order routing, live position tracking, and risk-control logic. In a similar project, I built a risk monitor that watched live P/L, stopped new trades, closed open positions, and saved full audit logs for every action. ✔️ For your project, I will connect both broker accounts, stream positions in real time, calculate running P/L with low delay, and add a strict lock system that stays active until you reset it manually. I will also add config support through env or YAML so you can update the loss limit easily. ✔️ I will include error handling for API failure, reconnect logic, decision logs, setup steps, and a short demo recording showing the bot hitting the cap and stopping order flow in a paper-trade test. Let’s chat to discuss your API setup and risk rules. Best regards, Mykhaylo

@prashanpatel557

Hello, I have experience building broker-integrated risk management systems, real-time P&L monitoring tools, automated square-off engines, and trading automation solutions for Indian brokers including Upstox and other API-based platforms. Your requirement is straightforward but critical from a risk-management perspective: a broker-independent safety layer that continuously monitors account P&L and immediately blocks trading once the daily loss threshold is breached. What I will deliver: • Kotak Neo API integration • Upstox API integration • Real-time position and P&L monitoring via REST/WebSocket • Configurable daily loss limit via .env or YAML file • Automatic risk actions when limit is breached: Tech Stack: Python, AsyncIO, WebSockets, Upstox API, Kotak Neo API, SQLite/CSV Logging Deliverables: • Fully commented source code • Setup and deployment guide Timeline: 10–15 days Estimated Cost: ₹25,000 – ₹45,000 A few questions: 1. Should the loss limit be calculated separately per broker account or combined across both accounts? 2. Should the lock reset automatically the next trading day or only through manual intervention? 3. Do you want pending orders cancelled before square-off execution begins? I can start immediately after reviewing the broker account structure and risk rules.

@Jennycreation

hello sir , i already work on many Cryptocurrency trading system . i can show you demo also and can do as per your requirement. We already Develop c# based Copy Trading software for crypto Exchange API Binance ,Bybit API and MT4 and MT5. in this software we can copy all master client Trades to All child clients. in this we also do Arbitrage trading from Binance To Bybit and Viceversa. software will use the official Binance And Bybit API. i can show demo for you. let me know your response. i have very good experience in Crypto project come on chat so that i can show my work on Crypto.. i can start work from right now i already built trading plateform where i use Zerodha/Alice blue/Angel/Profitmart api for trading order, buy/sell, square off possition /margin etc feature. we also did automated trading using amibroker csv file. let me know i can show you demo.

@Algokage

Hello, I can deliver a custom trading API bot tailored to your Kotak Neo and Upstox accounts, ensuring real-time profit-and-loss tracking and a robust loss cap mechanism. My approach involves connecting to both brokers' REST/WebSocket endpoints, authenticating with your provided keys, and streaming positions tick-by-tick for precise P/L calculations. I'll implement airtight error handling to prevent order slippage during network blips. A simple, lightweight GUI or env file will allow you to adjust the loss limit dynamically. I'll also log critical decisions for audit purposes and future improvements. With over 5 years of experience, I'm confident in my ability to meet your requirements. I can provide a well-commented source code, setup instructions, and a screen recording demonstrating the bot's functionality. Please reach out to discuss further or request samples of similar projects. Thanks, Adegoke. M

@CyberSasu

With a professional background specializing in Embedded Systems Development, Python Application Development, and Web Development, I bring a unique depth of knowledge to the project. Not only am I adept at building solutions using web-based applications, but I can also configure Linux servers and provide technical support to ensure seamless integration of the system. This varied skill set ensures that I can deliver a comprehensive and tailor-made solution for your needs. Additionally, I have extensive experience working with REST/WebSocket endpoints in Python. Furthermore, my experience in risk management and safety nets aligns perfectly with your project requirements. Whether it is maintaining a live P/L calculation with sub-second latency or offering an easy way to change the loss limit on the fly, I have proven experience doing so meticulously. Finally, my hands-on experience with Indian broker APIs combined with my past successful projects will help me deliver exceptional results on time. Clear communication and reliable support are how I maintain long-lasting relationships with my clients. I am committed to not just completing this project, but delivering a solution upon which you can build confidently

@loxtic

Hi, how are you doing? I have considerable experience building real-time trading tools, including Python async systems that connect to broker APIs, stream tick data, and enforce risk rules with precise latency. I’ve worked on projects involving REST/WebSocket feeds, live P/L tracking, and configurable risk caps with audit logs and simple config layers. I can deliver well-commented source, setup steps, and a short screen recording showing loss cap enforcement and automatic position square-off. Let me know further if interested.

@Sahyadri96

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

@memonhussain092

Hi, I've gone through your brief in detail — this is a well-scoped risk management bot and I can build it exactly as described. My stack: Python with asyncio + websockets for tick-by-tick streaming, kotak-neo-api and upstox-python-sdk for broker connectivity, and a YAML config for live threshold changes without restarting the bot. Here's what I'll deliver: • Dual-broker WebSocket streams — Kotak Neo + Upstox authenticated, reconnect-safe, position data streaming with sub-second latency • Live P/L engine — real-time calculation across both accounts, updated on every tick • Hard loss cap enforcer — the moment the threshold is breached: all new orders blocked, all open positions squared off via market orders, bot locks until manual reset • YAML config — change your loss limit on the fly, no code edits needed • Audit logger — every decision timestamped: limit hit, orders blocked, positions closed, reset events • Full error handling — network drops, API timeouts, and partial fills all handled so nothing slips through • VPS-ready setup — systemd service file, .env for API keys, full setup instructions • Screen recording — paper trade demo showing live P/L, cap breach, auto square-off, and order lockout firing in sequence I've worked with Indian broker APIs and understand the quirks — rate limits, token refresh cycles, and order status polling edge cases included. Ghulam

@manoval09

Hi, You need a single dashboard that aggregates live positions from both Kotak Neo and Upstox without constant manual checking—right now that's fragmented and slow. I'll build a compact Python bot that handles OAuth flows for both brokers and streams position updates in real time, so you see portfolio changes as they happen. The bot will use Kotak Neo's REST API for order placement and Upstox's WebSocket endpoint for live price feeds, storing active positions in SQLite for fast queries. I'll handle token refresh automatically so you don't need to re-authenticate, and the bot runs as a background service that pushes updates to a simple CLI or JSON endpoint. In the first 24 hours, I'll mock the authentication handshake with both APIs and confirm I can pull your live positions. Before we start: what's your preferred update frequency—real-time tick-by-tick or periodic (every 5-10 seconds)? Best regards, Val

@mubashir021

Hello, I see you're looking for a trading API bot with a strict loss cap. I am Mubashir Ahmed, a Full-Stack Developer, Engineer, and UI/UX Specialist with 6+ years of experience in API development and financial software. - I will connect to Kotak Neo and Upstox broker APIs using Python, ensuring secure authentication. - I will implement live P/L calculation with sub-second latency and error handling. - I will create a user-friendly way to adjust the loss limit dynamically. - I will log every decision made by the bot for future auditing and adjustments. - I will deliver well-commented source code along with setup instructions and a demo. My Portfolio: https://www.freelancer.com/u/mubashir021 Drop me a message and let's get this sorted. Mubashir Ahmed

@krish0032

Hi, I'm adept with broker APIs and risk management. I can efficiently build your trading bot with real-time P/L tracking and instant loss cap enforcement. I'll ensure seamless integration and provide a detailed setup guide. Let's discuss the best way to optimize this solution for you.

@shahidhabib791

Hello, Risk management systems are only effective when they react instantly and predictably under real market conditions. I can develop a robust Python-based trading risk-control bot that connects directly to your Kotak Neo and Upstox accounts, continuously monitors positions and profit/loss in real time, and enforces a hard loss limit without exception. The bot will integrate with both brokers’ APIs and WebSocket feeds to track live positions, orders, and market movements with minimal latency. Once the configured drawdown threshold is reached, the system will immediately block all new order placement requests, initiate square-off procedures for all open positions, and enter a locked state that requires a manual reset before trading can resume. The solution will be built with reliability and fault tolerance as a priority. I will implement asynchronous processing, automatic reconnection logic, state persistence, and detailed error handling to ensure temporary network interruptions or API hiccups do not compromise the risk controls. The loss threshold will be configurable through a simple environment file, YAML configuration, or lightweight dashboard based on your preference, allowing quick adjustments without code changes. best regards Habib Ullah

@vikram2026

I already have a similar trading script built. I can quickly customize it according to your exact requirements

@bizvivo

I lead a seasoned team of trading software developers, data scientists, and full stack engineers with 20+ years of combined experience delivering enterprise grade solutions. We specialize in automated trading bots, having built systems around RSI, MA, MACD, Bollinger Bands, harmonic and Fibonacci strategies. Recent projects include: • AI driven equity day trading bot with real time L1/L2 data ingestion and risk controls. • Options straddle/strangle manager with dynamic hedging and margin optimized basket orders. • Multi asset scalping bot tuned for ultra low latency execution. • Portfolio rebalancer integrating ML forecasts with smart order routing. • Backtest engine validating strategies against years of minute level data. We recently deployed a machine learning algorithm for predictive trading, combining advanced research with robust live execution. Looking forward to discussing how we can tailor this expertise to your needs. Best Regards, Radhika

@nicolasb612

# Proposal Response Your bot requires real-time P&L tracking across two broker APIs with instantaneous position liquidation triggers—a technically demanding integration that demands low-latency execution and precise order management. I've built similar risk-management systems that enforce hard stops by directly interfacing with broker APIs, implementing state-locked mechanisms that prevent order placement until manual override, and maintaining sub-second response times for critical liquidation events. Hi, I build automated trading systems in Python — bots that connect to exchange APIs, execute strategies, and run 24/7 with Telegram alerts and kill switches. Recent builds include: Polymarket in-play sports bot, cross-platform arb bot (Kalshi ↔ Polymarket), whale copy-trading bot, and AI news-driven market bot. Happy to discuss your specific requirements. What exchange/market and what strategy are you targeting? Timeline and budget depend on scope — reply with details and I'll give you a fixed quote within a few hours.

@dewasugiarta

Hi, I can build this P/L tracking and risk management bot for your Kotak Neo and Upstox accounts. Here's my plan: 1. Connect to both brokers via their REST/WebSocket APIs with proper OAuth authentication 2. Stream positions tick-by-tick and calculate live P/L with sub-second latency using Python asyncio 3. Implement strict loss-cap enforcement — when the threshold is hit, immediately block new orders and auto square-off all open positions 4. Use YAML config for easy loss-limit adjustment on the fly 5. Full audit logging of every decision (limit reached, orders blocked, positions closed) Tech stack: Python 3.x with asyncio, aiohttp for REST calls, websockets for real-time streaming. Clean error handling for network issues — no orders slip through during blips. Deliverables: - Well-commented source code - Setup instructions (pip requirements, env config) - Screen recording showing the bot hitting loss cap and auto-closing positions in paper-trade mode I have experience with Indian broker APIs and building trading automation tools. Can start immediately and deliver within 5 days. Let's discuss the details!