High-Speed Bot for Kotak Neo Account

@muhammadali33345

Goal: a compact, high-speed Kotak Neo bot that scans ~750 “nifty total market” stocks via Truedata, streams tick-by-tick positions, and executes RSI-based BUY/SELL with strict profit/loss caps. What I’ll deliver (fast + safe): 1) Kotak Neo integration: REST/WebSocket auth, resilient reconnect, tick stream ingestion. 2) Live P/L engine: sub-second update loop, network-blip safe state, atomic order gating. 3) Caps enforcement: configurable profit/loss thresholds; when reached, block/close per your rules (no stop-loss). 4) RSI trigger logic: variable parameters for RSI level and side (BUY / SELL / BOTH), with % take-profit targets. 5) Amount-based orders: each BUY/SELL uses variable INRs (no quantity auto-sizing). 6) Runtime config: env file/YAML to change loss limit without restart. 7) Audit logs: decision logs (limit reached, order blocked, positions closed) with timestamps for tuning. Insert your specific goal here: Compassionately, what outcome should the bot prioritize first—ultra-low latency scanning, or safest P/L cap enforcement—so we tune thresholds accordingly?

@kingxanda

Hey, Thanks for your post. I'v read your description carefully. I have relevant experience I can help. some of my skills are: Bots, Trading, Apis Hope you're having a nice day my friend :)

@monfssf

Hi, I understand that you need a fast and reliable intraday trading bot capable of scanning approximately 750 stocks, generating RSI-based trading signals, executing trades with minimal latency, tracking real-time P&L, and enforcing strict daily profit and loss limits. I can develop a solution that integrates market data feeds and trading APIs, supports configurable RSI thresholds, fixed capital-per-trade settings, percentage-based profit targets, real-time monitoring, audit logging, and robust error handling with automatic recovery from connectivity issues. Relevant Skills: • API Development & Integration • REST API • Algorithm Development • Trading Systems • Software Architecture • Python • C++ • C# • PHP • Real-Time Data Processing • WebSocket Integration To discuss further project details, please message me through Freelancer chat.

@CyberSasu

Hi, I’m Saswata Mukhopadhyay. I work as a Python developer and can help with building reliable, practical solutions based on your requirements. I have experience with Python for backend development, automation, APIs, data handling, custom tools, GUI applications, and integration with hardware or web systems.

@loxtic

Hello, how are you doing? I have considerable experience building fast, low-latency trading tools and have wired up REST/WebSocket flows to multiple brokers, with real-time P/L, configurable risk caps, and simple parameterized triggers. I’ve handled live data feeds, audit logging, and lightweight config via env/YAML. I can adapt to Kotak Neo and third-party data feeds, ensure sub-second latency, and provide a straightforward setup for buy/sell triggers and take-profit targets. Let me know further if interested.

@shoaibkhan754400

Hello, I have worked on many similar low-latency trading automation projects involving broker APIs, real-time market data feeds, stock scanners, signal engines, risk management, and automated execution systems. Building a fast scanner for 750+ stocks with Kotak Neo and a third-party feed like Truedata is well within my expertise. I can build the system with live WebSocket data, real-time P&L tracking, configurable profit/loss caps, RSI-based entry logic, position sizing by amount, audit logs, and strong failover handling to prevent missed trades during connection issues. I have 5 years of experience in MT4/MT5, TradingView, cTrader, NinjaTrader, ATAS, SierraChart, MultiCharts, Thinkorswim, Protrader, Quantower, and custom Python/Java automation for proprietary trading firms. I have successfully delivered 1000+ projects — EAs, bots, indicators, dashboards, and custom utilities with precision. A couple of questions: 1. Do you want the scanner to evaluate all 750 stocks continuously in real time, or only during specific market hours and intervals? 2. Should the daily profit/loss cap stop new entries only, or also close all active positions when the threshold is reached? What sets me apart is my commitment to long-term support. I don’t just deliver and disappear — if anything comes up after delivery, I will resolve it promptly. I believe in building strong professional relationships and ensuring full satisfaction, not temporary transactions.

@Sahyadri96

From Pune 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

@KaleRiddhesh

Please message me your final budget. I checked your requirement properly and i can complete this project in 4-5 Days I have worked on Kotak Broker API before and same can be done

@tanaa4

Scanning 750 Nifty Total Market stocks and triggering trades without missing a beat is fundamentally a latency problem before it's a trading logic one — the Truedata tick stream and Kotak Neo order execution need to run concurrently, with P&L checks happening on every tick without blocking the order pipeline. My approach: an asynchronous Python app using websockets for the Truedata feed and Kotak Neo's API for execution, with P&L tracking and RSI calculation running in parallel so a slow calculation never delays a time-sensitive order. Profit and loss caps would be hard circuit breakers — once hit, the bot halts new orders and logs the event, with the limit adjustable on the fly via a simple YAML config, no restart needed. RSI BUY/SELL triggers would be fully parameter-driven — RSI threshold, trade amount per order, and percentage take-profit targets all exposed as tunable variables. Since you've specified no stop-loss logic, I'll build exactly to that spec, no extra safety nets added. Every decision — limit reached, order blocked, position closed — gets logged for audit and tuning. I understand acceptance hinges on live, lightning-fast execution with zero missed trades. Let's discuss your Truedata and Kotak Neo API access to scope the timeline.

@sgwtechnology

Hi — Mukesh here. I reviewed your requirement and understand you need a **low-latency intraday trading bot** integrated with Kotak Neo, real-time market data (TrueData or similar), and strict risk controls with live P&L tracking, RSI-based signals, and automated order execution. The key is building an event-driven architecture using WebSockets for tick streaming, a fast in-memory state engine for P&L calculation, and a rule-based strategy layer (RSI + configurable thresholds) that executes trades with minimal delay while enforcing hard profit/loss caps at runtime. A few questions: Q1 – Do you already have Kotak Neo API access with order and websocket permissions enabled? Q2 – Should the RSI strategy run per stock independently or across the full basket scan? Q3 – Do you prefer Python (fast prototyping) or Node/C++ (ultra-low latency)? Best regards, Mukesh

@sanddep5

With over five years of experience in Full Stack Development and an impressive repertoire of skills including Algorithm, C# Programming, PHP, and Software Architecture, I assure you deliverance of an exceptional and highly customizable trading bot designed specifically to meet your unique needs. I am well-versed in integrating third-party data feeds like Truedata into platforms, ensuring seamless operation to precisely scan 750+ stocks with remarkable speed. In intra-day trading, where timing is everything, my skills in maximizing real-time profit-and-loss tracking will prove invaluable. Another crucial aspect for the bot is the incorporation of BUY and SELL triggers after RSI reaches a specific level. Drawing from past experiences, I am confident in implementing this functionality seamlessly for you. Moreover, my understanding of the Kotak Neo platform paired with my capability to maintain a live P/L calculation with sub-second latency and robust error handling gives me an added advantage. Additionally, I appreciate the significance of adaptability when it comes to trade and market scenarios. To that end, I'll provide you options (env file, YAML or lightweight GUI) for conveniently modifying loss limits on the fly as per your changing requirements.

@seanh1971

Hello Client, I have reviewed your requirement for a high-speed intraday trading bot integrated with Kotak Neo and TrueData feed for scanning ~750 Nifty Total Market stocks. The goal is a low-latency system that processes tick data, generates signals, and executes orders with strong risk control. The solution will use C# or C++ with WebSocket streams for real-time market data and REST APIs for Kotak Neo order execution. A multi-threaded, event-driven design will scan symbols in parallel using tick-by-tick TrueData streams, while an in-memory engine maintains live positions, prices, and RSI-based BUY/SELL triggers. Capital-per-trade and take-profit percentage targets will be fully configurable for intraday execution without stop-loss logic. For risk management, I will implement real-time PnL tracking with hard profit and loss caps adjustable via YAML or environment variables. Trade decisions, blocked orders, and limit hits will be logged in structured format for audit and tuning. Reconnection handling, order validation, and fail-safe checks will ensure stability during network issues. Let’s build a fast, reliable trading bot that reacts instantly to market signals and protects capital effectively. Best regards, Sean

@GEN5SANTHOSH555

Hi, I've built algorithmic trading bots and API integrations in Python. Here's exactly how I'll approach your Kotak Neo bot: Tech stack: - Kotak Neo Python SDK for order placement and account management - Truedata WebSocket for live tick data on all 750 Nifty Total Market stocks - RSI calculation running on streaming data with your configurable overbought/oversold levels Core features I'll build: ✅ Live scanner across all ~750 stocks — RSI checked every tick ✅ BUY / SELL / BOTH mode switch (configurable before market opens) ✅ Amount-based orders (not quantity) with the exchange rounding to nearest lot ✅ Real-time P&L dashboard — running total visible per trade and aggregate ✅ Hard stop on both sides: auto-liquidates and halts trading if daily profit or loss cap is hit ✅ Take-profit triggers on configurable % basis per position What I need from you: - Kotak Neo API credentials (paper trading first to test) - Truedata subscription details - Your RSI level, amount per trade, and daily P&L cap values Timeline: 12 days (paper trading phase + live handover) Bid: ₹12,500 One clarification: do you want a web dashboard or a simple desktop app? Both are doable within this budget. VELHADE

@kushagras83

Your goal of building a high-speed bot for your Kotak Neo account requires a robust and precise solution. This system needs to handle rapid stock monitoring and automated trades based on RSI levels while maintaining real-time profit and loss calculations. Speed and reliability are essential here. Drawing from my experience with building premium automation systems, like the SaaS Landing Page that features automated CRM syncing and lead intake, I understand the technical demands for a high-performance application. I will wire up to brokers’ REST/WebSocket endpoints and implement a live P/L calculation to ensure no order slips through due to latency issues. You'll have a flexible interface for adjusting limits and a logging system to keep track of decisions. Based on the requirements, the pricing is structured as follows:

@Ingjuanguzmane

Hello! I can help you with High-Speed Bot for Kotak Neo Account. My budget is 1500.0 USD for 5 days. I will review the requirements, define the implementation steps, and deliver a working result with clear progress updates. Let's discuss the details.

@pritamalange

Hello, I have reviewed your project requirements and I believe I am a suitable candidate for this work. I have skills in Python, data entry, and problem-solving. I can deliver accurate, high-quality work within the deadline. I focus on client satisfaction, clear communication, and professional results. I am ready to start and give my best. Thank you.

@nabeeli18

BEFORE YOU MAKE A HIRING DECISION, GIVE ME A MOMENT TO SHOW YOU WHAT SETS ME APART. I recently completed a project for a high-speed bot for a Kotak Neo account, integrating data feeds from third parties, enabling real-time profit-and-loss tracking, and implementing strict profit and loss caps. I understand the importance of a clean user-friendly UI for high-end customers. SUCCESS ISN’T JUST ABOUT EXECUTION—IT’S ABOUT MAKING THE RIGHT DECISIONS BEFORE THE WORK STARTS. Regards, Nabeel Ismail

@ShambhuChy14

With over a decade of experience in Systems Engineering, Custom Backend Architectures, and Enterprise Data Management, I bring unparalleled technical acumen to your project. My team at Shambhu Mobility & Tech Ventures consists of skilled professionals who are well-versed in the software needed for this task. We've successfully wired up REST/WebSocket endpoints before and can integrate data feeds from sources like Truedata seamlessly into your bot. The key to a successful trading bot is speed, accuracy, and adaptability. And my firm's expertise in high-velocity concurrent data flows combined with our memory-safe backend logic can deliver just that. We will ensure sub-second latency in P/L calculations and maintain tight error handling to eliminate order slips even during network blips. In addition to all the technical capabilities mentioned above, as a registered corporate entity, we're committed to delivering modular code with clear structural documentation and strict adherence to deadlines. I understand the importance of operational logging and offer robust solutions for auditing and future tuning. You can trust that API trading will become operational and your trades will be triggered with exceptional efficiency under my diligent supervision. Let's have your system's requirements freeze under us so we can get started on an exceptional bot solution for you!