Backtesting Jobs

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We are hiring a developer to build a machine-learning trading system for NinjaTrader 8 focused on futures trading and intraday market analysis. This is not a simple indicator or rule-based strategy project. We are looking for someone who can build a complete workflow that combines NinjaTrader/NinjaScript execution with a Python-based machine-learning pipeline for training, validation, and live signal generation. The ideal candidate should have experience with: * NinjaTrader 8 / NinjaScript / C# * Python machine-learning workflows * futures market data and quantitative trading systems * backtesting, walk-forward testing, and model validation * integrating ML models into simulated or live trading environments The project includes: * building a NinjaTrader 8 execution strategy * creating...

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I need a TradingView Pine Script indicator that lets me drop a full Fibonacci retracement suite onto any intraday chart with just one click. The core idea is speed: as soon as I select a swing high or low, all the standard retracement levels should populate automatically and stay anchored, updating only when I choose a new reference point. Intraday performance is essential, so the script must be light, respond instantly, and respect Trading View's real-time data limits. Visual clarity matters too—color-coded bands, optional percentage labels, and the ability to toggle individual levels on or off without digging through settings will make the tool genuinely usable during fast-moving sessions. Deliverables: • Clean, well-commented Pine Script v5 code • Settings...

I want a concise, hands-on guide that shows me exactly how to wire Claude AI into live trading on Binance, Zerodha, and Hyper Liquid. The goal is to have a small but solid framework I can run this weekend, capable of fully automated trading and rapid order execution. Here’s what the guide must cover: • Exchange integration – authenticated REST/WebSocket connections for all three platforms, plus secure key handling. • Prompt design – how to feed real-time price data into Claude, preserve trading context, and let the model decide when to buy or sell. • Trigger logic – code examples for scheduled, time-based checks and immediate actions when specific market conditions occur. • Order execution – sample functions that submit, confirm, an...

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Project: Algo Trading Platform Document Purpose: This file summarizes the current software features, the enhancements already added during recent development, missing capabilities, and recommended add-on improvements to complete the application into a more polished trading platform. 1. Current Core Features - Modular Python trading architecture with separate modules for broker integration, data fetching, backtesting, portfolio management, and strategy execution. - Dhan broker support via `src/broker/` and optional yfinance fallback in `src/data/`. - Multiple strategy implementations including moving average crossover, RSI, Bollinger Bands, and various option strategies. - Portfolio manager and risk manager modules for tracking positions and enforcing risk rules. - Backtesting engine i...

I want a fully-automated trading bot that plugs into Zerodha’s Kite Connect API and runs a swing-trading strategy on equities only. The core logic should revolve around moving-average signals—simple or exponential is fine, as long as crossover periods are configurable from my end. The bot must: • Authenticate and place, modify, or exit equity orders through my Zerodha account during regular market hours. • Continuously scan the watch-list I supply, calculate the moving-average signals, and trigger trades when the conditions are met. • Handle position sizing, stop-loss, and profit-target rules that I can tweak in a settings file or dashboard. • Log every action (orders, errors, API responses) in a clear, timestamped format and send me an end-of-day...

I need a Windows-based application, written entirely in Python, that lets me load historical data for all major index options and selected commodity prices, design trading rules, and see how those rules would have performed before I risk real capital. Core expectations • Historical data analysis – the program must import large option chains (minute, hour, and EOD resolutions) alongside matching commodity price series, clean them, and let me slice by expiry, strike, IV, Greeks, and custom filters. • Simulated trading – once a strategy is defined, I want the engine to generate fills, P&L, margin use, and drawdowns bar-by-bar, as though it were a live account. Walk-forward testing and position-level tracking are essential. • Reporting & visualizatio...

I need backtesting for several momentum-based stock trading strategies and, once the numbers check out, a clean piece of code that automates each setup end-to-end. Here is what I already have on hand and will share the moment we start: • Historical price data for all tickers involved • A library of technical indicators calculated for the same period Your first task is to run a rigorous backtest on every strategy, report the key performance metrics, drawdowns, trade statistics, and an equity curve that I can easily interpret. If tweaks are required, we will iterate until the logic is solid. When the strategy logic is confirmed, I want it coded in a production-ready script (Python, Pine Script, or another language you recommend). The final deliverable should: • Reproduc...

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Ich arbeite bereits mit einem vollständigen Python-Skript, das Aktien-Backtesting über CSV-Dateien in Google Colab durchführt und Handelssignale per Telegram versendet. Aufbau, Modellbeschreibung und die gesamte Codebasis sind vorhanden – jetzt möchte ich das System um zusätzliche Datenanalyse-Funktionen erweitern. Aufgaben­schwerpunkt • Neue Datenanalyse-Tools einbauen – z. B. Sharpe-Ratio, Drawdown-Berechnung, Walk-Forward-Tests oder ähnliche Kennzahlen. • Sicherstellen, dass der bestehende CSV-Import alle neuen Auswertungen zuverlässig speist. • Colab-Kompatibilität erhalten; idealerweise optionale GPU/TPU-Nutzung berücksichtigen. • Die Telegram-Benachrichtigung um zusammenfassende Kennzahlen und e...

Subject: Expert Pine Script Developer Needed to Fix and Improve Trading Bot I'm looking for a skilled Pine Script developer who has strong experience with the TradingView platform. You'll be working on a trading script for options on indices like Nifty 50 and Bank Nifty. BTC future. The main goal of the project is to fix a script that is causing problems with trade execution. My trading strategy is based on quick flips; for example, if the script exits a bearish trade, it should immediately enter a bullish one. The script is designed for Heiken Ashi charts but should function based on normal candle prices. Current Issues That Need Fixing: 1. Incorrect Order Sequencing: The script sometimes sends an "entry" signal to my broker before an "exit" signal...

I am looking for a quote to develop an automated trading bot for Polymarket via the CLOB API (Polygon network) specializing in Cricket and Baseball markets. The core requirement is a real-time execution engine that monitors market prices (winning probabilities) via WebSockets for low latency. The bot must implement a specific logic: Automatic Entry when a team’s ‘Yes’ token price reaches $0.90 (90%) and a Hard Stop-Loss that triggers an immediate sell order if the price drops to $0.70 (70%). The system must include secure local management of private keys (via .env), robust error handling for API timeouts or connection drops, and a simple configuration file to set position sizes and target market IDs. Please provide a quote including estimated development time, hosting rec...

I have just started exploring Nifty options and want to run fully automated trades through Algotest . other platforms . . Because I’m still at the beginner stage, I’d like an experienced India-based trader who already works with algorithmic strategies on the index to guide me end-to-end. Here’s what I need from you: • Walk me through real-time trade execution on Algotest / other platforms—setting entry rules, adjusting positions, and managing exits while the market is live. • Help me structure and run historical backtests inside the same platform, interpret the performance reports, and fine-tune parameters until we have a repeatable edge. • Share practical risk-management techniques specific to weekly Nifty option selling/buying so I understand...

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