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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!
Müşterilerimiz, Backtesting Developers freelancerlarımızı 1,845 değerlendirme içinden 5 üzerinden 4.91 ile derecelendirdi.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!
Müşterilerimiz, Backtesting Developers freelancerlarımızı 1,845 değerlendirme içinden 5 üzerinden 4.91 ile derecelendirdi.Lütfen detayları görmek için Kaydolun ya da Giriş Yapın.
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...
I need a robust, well-structured Python bot that can both run live logic and back-test the very same logic inside a stock market simulator. The focus is strictly OPTION TRADING MULTILAGE STRATEGYS stock-market data; forex or crypto TRADING Here is what I’m after: # SUPORT COPY TRADING MULTI USER, MULTI BROKER • Core script(s) that read clear entry/exit rules, place simulated orders, and record every fill, P&L, draw-down, and equity curve. • Back-testing layer tied to a stock market simulator such as Backtrader, QuantConnect, Zipline, or any other mature framework you are comfortable with—so long as it supports multi-year historical data, realistic fills, and commission/slippage models. • Clean separation between strategy logic and engine so I can sl...
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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 ...
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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...
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Backtest requirements attached
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I need a clean, well-commented AFL that continuously scans NSE equities AND F&O contracts and flags opportunities the moment the conditions I will specify are met. 1,THE AFL IS COMBINATION OF 5 INDICATORS * I WILL GIVE THE SOURCE CODE EXTRA CODE FOR A BUY SELL DECISSION ON A COMBINED LOGIC OF THESE 5 INDICATORS, I WILL PROVIDE PARTIAL CODE, BUT THERE ARE ERRORS IN THAT CODE , TO BE RECTIFIEDM BACK TEST AND DOCUMENTATION FOR THIS INCLUDING AMIBROKER SETTINGS FOR BACK TESTM I WILL PROVIDE PARTIAL CODE SHALL BE POSIIBLE WITH ALL PARAMETERS AT ONE SECTION OF AFL, I WILL GIVE PARTIAL CODE 5,EXPLORATION: SCANNING OF 50 STOCKS AT ONCE WILL BE DONE MINUTEWISE UNDER THE LOGIC, I WILL PROVIDE PARTIAL CODE, SO DEVELOPER NEEDS TO CORRECT IT IF REQUIRED, PRESENYLY EXPLORATION IS WORKING, SH...
I'm looking for an experienced Python developer to create an algorithmic trading bot based on my own unique strategy for options trading. The bot should incorporate the following key functionalities: - Backtesting: Ability to test the strategy against historical data. - Real-time data feed: Integrate with reliable data sources for live market updates. - Automatic order execution: Execute trades automatically based on the strategy signals. Ideal Skills and Experience: - Proficiency in Python and experience with trading libraries. - Strong understanding of options trading and market dynamics. - Experience in developing and backtesting trading algorithms. - Familiarity with integrating real-time data feeds and order execution systems. Please provide examples of previous work and relev...
I actively trade on TradingView and already rely on several open-source indicators plus one proprietary strategy. I now want everything wrapped into a single, coherent Pine Script that can place live orders with clear risk controls. Here is the core of what I need: • Combine my existing indicators and closed-source strategy into one script. • Let me toggle long/short entries, position size, and multi-time-frame confirmation directly from the script settings. • Include editable take-profit, stop-loss, and trailing-stop parameters so I can fine-tune risk on the chart without rewriting code. • Make the script broker-agnostic but capable of routing trades to futures, commodities, stock, and crypto brokers supported by TradingView’s Trading Panel or webhook/API ...
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I need a seasoned NinjaTrader coder to turn my trading ideas into fully functional components on the platform. While I’m still refining the exact mix of custom indicators, automated strategies, and possible data-feed integrations, the immediate priority is clean, efficient NinjaScript that can be compiled and deployed without hassles on both live and simulation accounts. I will supply the trading logic, preferred time-frames, and any edge cases I’ve already identified; you translate that into robust code, add thoughtful error handling, and deliver a compiled script together with the editable source. Clear in-code comments are a must so I can tweak parameters down the road. For hand-off, I expect: • The finished .cs file(s) ready to import. • A brief outline of param...
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I’m looking for an experienced tutor who’s proficient in StrategyQuant X Pro Ultimate. The ideal candidate should have a strong working knowledge of the software, be comfortable with live, interactive screen-sharing sessions, and possess understandable English. I’m looking for a bout 4 to 6 hours per week, and I want the tutoring to be entirely live and interactive via screen share. Additionally, I’d appreciate seeing some samples of previous work to ensure a good fit.
We are looking for an experienced developer to create a profitable trading bot for Polymarket. The ideal candidate will have a solid understanding of market dynamics and experience in automating trades using algorithms. Your responsibility will include designing, coding, and testing the bot, ensuring it can adapt to rapid market changes and maximize profitability. Please provide examples of previous trading bots you’ve developed and your approach to risk management.
To simplify paying you and communicating with you, I am looking for a coder that who located in the United States. I’m putting together a fully automated day-trading system focused on squeezing out short-term gains every session. Because speed and execution nuance are everything, I only want to work with someone who is already active in the U.S. markets—you know the quirks of pre-market liquidity, Level 2 tape action, and the maddening volatility that can erupt around economic prints. Scope The core of the project is an algorithm that scans real-time data, identifies high-probability set-ups, and triggers rapid entries and exits in both equities and the more liquid commodity contracts. The logic needs to be modular so I can swap indicators or risk parameters without rewriti...
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