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Backtesting is a crucial part of a software development process that allows developers to simulate a trading strategy through specific historical data sets. By looking at the past results of the simulation, a Backtesting Developer can further refine and polish a trading system to ensure maximum efficiency and accuracy. This allows clients to optimize the entire process and give their strategies the best chance of success.
A quality Backtesting Developer will have an in depth understanding of modern quantitative trading strategies and techniques. This includes understanding scripting languages such as Python and R, as well as TradingView strategies. Backtesting also requires an understanding of finance markets, so including financial forecasting topics such as Kalman Filters or Multi-factor Models is essential for successful analysis.
By creating simulations based on specific criteria and inputs, our expert Backtesting Developers can create accurate models to assess profitability and accurate predictions of future price movements.
Here’s some projects that our expert Backtesting Developer made real:
As you can see, Backtesting Developers often have highly technical abilities in order to accurately assess algorithmic trading scenarios. Their expertise in scripting languages allow them to quickly set up simulations that can provide valuable insights into the profitability of a specific trading system. At Freelancer.com, you can employ exceptional Backtesting Developers to help take your quantitative trading strategies to the next level! So don't hesitate and post your own project now! Hire an expert Backtesting Developer on Freelancer.com today for assistance with refining your algorithms or creating new ones from scratch!
From 2,002 reviews, clients rate our Backtesting Developers 4.91 out of 5 stars.Backtesting is a crucial part of a software development process that allows developers to simulate a trading strategy through specific historical data sets. By looking at the past results of the simulation, a Backtesting Developer can further refine and polish a trading system to ensure maximum efficiency and accuracy. This allows clients to optimize the entire process and give their strategies the best chance of success.
A quality Backtesting Developer will have an in depth understanding of modern quantitative trading strategies and techniques. This includes understanding scripting languages such as Python and R, as well as TradingView strategies. Backtesting also requires an understanding of finance markets, so including financial forecasting topics such as Kalman Filters or Multi-factor Models is essential for successful analysis.
By creating simulations based on specific criteria and inputs, our expert Backtesting Developers can create accurate models to assess profitability and accurate predictions of future price movements.
Here’s some projects that our expert Backtesting Developer made real:
As you can see, Backtesting Developers often have highly technical abilities in order to accurately assess algorithmic trading scenarios. Their expertise in scripting languages allow them to quickly set up simulations that can provide valuable insights into the profitability of a specific trading system. At Freelancer.com, you can employ exceptional Backtesting Developers to help take your quantitative trading strategies to the next level! So don't hesitate and post your own project now! Hire an expert Backtesting Developer on Freelancer.com today for assistance with refining your algorithms or creating new ones from scratch!
From 2,002 reviews, clients rate our Backtesting Developers 4.91 out of 5 stars.I day-trade futures exclusively and want a dependable signal engine that tells me exactly when to buy or sell with a very high probability of success. The logic must be 100 % technical and history based: a blend of Moving Averages, RSI, Bollinger Bands, plus compression and continuation patterns that filters out low-quality setups and fires only the strongest intraday opportunities. I need the whole workflow—from calculation to alert—coded into a platform I can load on my end (TradingView Pine Script.. Real-time alerts via on-screen pop-up, email, or push notification are essential so I can act the moment the conditions line up. What I expect from you: • Source code or unlocked indicator/strategy I can edit and reuse • Clear user guide showing input settings and h...
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...
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...
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...
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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I’m building a long-term automated crypto trading system and need a seasoned crypto trader or quant to craft a clear, rule-based trend-following strategy focused on altcoins and deployable on Binance. long-term automated system clear rule-based trend-following strategy deployable on Binance What I expect: • A concise trading playbook covering entry, exit, position sizing, and risk-management rules that can be coded directly into a bot. • Definitions of market regimes (e.g., volatility filters, moving-average states) so the strategy adapts to changing conditions. • Back-testing results with key metrics—CAGR, max drawdown, Sharpe/Sortino—plus a brief explanation of assumptions, data sources, and slippage settings. • Parameter ranges or ...
I need a seasoned quantitative developer who can turn my Iron Condor options strategy into a fully automated trading BOT for Indian markets. The system must trade exclusively in listed options and operate through the NSE NOW interface, handling everything from order placement and modifications to position monitoring and exit. Core workflow • Pull live option chain data, calculate real-time Greeks, and identify entry prices that satisfy my Iron Condor rules (delta-neutral, predefined distance between strikes, and minimum credit per leg). • Submit simultaneous multi-leg orders via NSE NOW, confirming fills and retrying intelligently if partials occur. • Track open positions tick-by-tick, updating P/L and Greeks so risk controls—max loss, max profit, time-based exits...
I need a Pine Script v5 indicator for TradingView that runs primarily on the Gold (XAUUSD) 1-minute chart and gives me immediate, easy-to-read feedback on market turns. Core logic • Heikin Ashi analysis – detect both reversal patterns and real-time trend strength changes. • Doji recognition – spot classic Doji candles and treat each as a distinct event. Visuals & alerts Whenever a Heikin Ashi reversal or trend-strength shift is confirmed, the script should place a clear icon or background highlight on that bar. The same applies to each detected Doji. At the same moment, fire a TradingView alert() so I can route the signal to webhooks or mobile push. Extra context I still like seeing Fibonacci structure on screen, so please add a light retracement ov...
Backtest requirements attached
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