Backtesting Jobs

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I Trade futures on nq, MNQ, MGC, and gold and would like someone to make a highly profitable software that tells me whenever to buy and sell in the market and give me take profit orders stop loss and the right size contracts to use. It must only take A plus setups and alert me whenever there's a signal

I need an algorithmic trading application built specifically for day-trading equities. The software must run natively on desktop (Windows first, cross-platform options welcomed if they do not compromise speed) and execute strategies automatically based on my rules. Core functionality • Real-time market data ingestion and low-latency analytics so I can monitor price action tick-by-tick. • Automated order placement, modification and exit logic driven by my day-trading algorithms. • A fully customizable interface where I can rearrange charts, watchlists and strategy parameters without touching the code. I will supply the brokerage API credentials and the trading rules after kickoff; you handle coding, back-testing, live trading integration, and basic error handling/logg...

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i want to implement basically with existing Pine Code: Session starts → first FVG detected → impulse move of 2R+ confirmed → price retraces to FVG 50% → limit entry triggers → SL at FVG edge → TP1 at 1R (30% close + move to BE) → TP2 at 2R → TP3 at 3R. Full rules will be provided.

I want a desktop-based application that gives me a TradingView-style experience but tailored to the way I pick and track stocks. Live market data must stream into real-time charts while the full price history stays available for back-testing and review. Stock selection has to feel flexible. I should be able to build my own filters (for example by sector, market cap, or technical indicators), run advanced searches on the entire exchange universe, and organise the matches into personalised lists. Within those lists I need a quick option to mark favourites so they are always one click away. Visualisation is equally important. Interactive, real-time charts and historical performance graphs need to sit inside dashboards I can rearrange and save. Think multiple windows or panels where I drop i...

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QuantConnect / LEAN Python Algo Trading Developer (IBKR) We are looking for an experienced algorithmic trading developer to build and optimize trading strategies for US stocks and ETFs using QuantConnect (LEAN) and Interactive Brokers (IBKR API). This is a hands-on development role focused on implementing and deploying systematic trading strategies. Scope of work Develop algorithmic trading strategies in Python (QuantConnect / LEAN) Backtesting and performance optimization Integrate strategies with Interactive Brokers (IBKR) Implement risk management and position sizing logic Work with historical and live market data Deploy and maintain strategies in live trading environment Analyze performance (PnL, Sharpe, drawdown) Requirements Proven experience in algorithmic trading / quan...

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I want to move my manual Binance trading over to a fully automated setup. The core idea is a bot—or a small group of coordinated bots—that: • Executes trades automatically through the official Binance API • Performs continuous market analysis to identify high-probability entries and exits • Applies solid risk-management logic (dynamic stop-loss, position sizing, max-drawdown protection, etc.) Strategy is still open. I’m comfortable exploring day trading, swing trading, or scalping if you can justify why a particular style will outperform in the current market. Likewise, the depth of settings can be basic or highly granular; I’ll lean on your guidance here. Acceptance criteria 1. Runs error-free in both Binance testnet and live environments ...

I have access to a private, invite-only indicator on TradingView and I’d like the underlying Pine Script code so I can study exactly how the entries, exits, and filters work. My sole purpose is to understand the logic and learn from the author’s methodology rather than to republish or resell it. Here is what I need from you: • A clean, readable Pine Script file (v4 or v5) reconstructed from the invite-only study so it compiles and plots identically on my chart. • A short, plain-language walkthrough of the strategy components—how it generates its signals, what calculations or built-in functions it relies on, and any risk-management rules embedded in the code. I’ll verify delivery by loading the script into my own TradingView workspace and comparing t...

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I’d like to turn my stock-market ideas into an AIML pattern–driven trading bot that can watch live prices, analyse them on the fly, and place orders automatically while staying within clear risk limits. The core logic must be written around AIML so that trading rules can be updated simply by editing or adding patterns rather than rewriting code. Scope • Data feed & brokerage connection: connect to reliable real-time stock quotes and an API that allows live order execution. • AIML engine: ingest my pattern files, match market conditions, and trigger buy/sell signals. • Strategy design: please propose robust, back-testable strategies suitable for liquid equities; optimisation and walk-forward testing are expected. • Risk layer: position sizing, st...

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