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I’m looking to build a scalable automated trading system — something we can run, improve and grow over time — and I'm looking for a long-term operating partner to build it with me. I'm strategy-agnostic: you propose the system, whether that's a 0DTE options bot, a higher-frequency signal-driven system, a slower trend or momentum system, or something else. Returns matter. To scale, the system has to beat what the same capital would earn in Treasuries or an index fund, after all costs and your share. We start with about $20,000. I'll be working full-time elsewhere, so I need a partner who will also operate and monitor it long-term. Overview I'm looking for an experienced algorithmic trader/developer to join as a true operating partner to design, bu...
I’m ready to tighten up my Binance workflow so every trade I make is logged automatically and turned into clear performance metrics I can study to refine my investment strategy. Here’s what I need from you: • Walk me through creating a fresh set of read, trade, and withdrawal API keys, then implement best-practice safeguards (IP whitelisting, granular permissions, no-hard-coding, encrypted storage). • Connect those keys to a tracking setup—Myfxbook is my preferred dashboard—so each executed order, open position, and closed P&L flows into a single, time-stamped record without manual exports. • Configure scheduled reports that highlight ROI, win rate, drawdown, and risk-adjusted returns. The data must update automatically and remain tamper-proo...
I need a NinjaTrader 8 strategy coded for the futures markets that watches Bollinger Bands–based price action and fires off an email the moment my conditions are met. The key setting is a custom six-standard-deviation band; everything else (period length, displacement, etc.) can remain on the platform default for now but should be exposed so I can tweak later. Here’s what I expect: • A fully commented NinjaScript (.cs or exportable .zip) that I can import and run without additional libraries • Parameters for band period, deviation, trading hours and e-mail credentials available in the strategy properties window • Clean, reliable e-mail alerts each time price touches, breaks or re-enters the six-deviation bands (we’ll finalise the exact trigger logic t...
# Python Trading Systems Engineer Needed — Debug Zerodha Live Option-Premium Feed and Paper Trade Monitoring ## Project Overview I am developing an options trading platform using Python, FastAPI, Zerodha Kite Connect, and a modular trading backend. The platform includes a market-data pipeline, instrument repository, option tick store, strategy engine, and paper/shadow trade execution and position monitoring. I need an experienced Python backend engineer with practical knowledge of real-time market-data systems and event-driven trading applications to diagnose and fix an intermittent issue in the existing codebase. **This is an existing-system debugging project, not a complete platform rebuild.** ## Problem Statement The Zerodha WebSocket feed receives option-market data, and t...
I want a fully automated Option Chain trading algorithm that can scan and trade Nifty 50, Bank Nifty and Sensex in real time. The exact strategies i have around 30 , if they a have error correct them and backtest—what matters is that the code reacts quickly to market moves, generates clear CE/PE signals, and places orders without manual fromCashStrategy TypeIntradayEntry Time09:35 AMExit Time03:14 PMNo re-entry after09:35 AMStop monitoring after03:14 PMSquare OffCompleteTrail SL to Break-evenNo / OffTotal Lot1Overall Stop Loss0 / DisabledOverall Target0 / DisabledOverall Momentum0 / DisabledOverall Re-entry on SLOff / 0Overall Re-entry on Target , alglo knows before buying, find its own he have entry and exit plan Core needs • Live data feed connection to the three indices...
PROJECT: Complete Existing Python Trading Application — PyQt6, Flask, Schwab and Windows I need an experienced trading-systems engineer to complete and validate HYPERION DEUS EX MACHINA. This is an existing-repository integration project. The application already contains strategy/execution modules, a GUI, provider adapters, OAuth, persistence and automated tests. EXISTING STACK Python 3.13, PyQt6, Flask, Schwab OAuth/API, Finviz Elite, AlgoX Flow and durable local state. REQUIRED EXPERIENCE • Python/PyQt desktop trading applications. • Qt threading, signals/slots and responsive tables. • Flask integration and polling/SSE reconnect behavior. • Broker OAuth and execution. • Partial fills, protective exits, cancellation and reconciliation. • Restart rec...
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