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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 2,352 reviews, clients rate our Backtesting Developers 4.93 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 2,352 reviews, clients rate our Backtesting Developers 4.93 out of 5 stars.There is a suite of pre-configured Python bots that currently run on cTrader. I now want them fully aligned with my own trading system and expanded in two key areas: • Introduce a robust trend-following strategy that fits the logic and data feeds I already use. • Bolt on solid risk-management controls—hard stop-loss orders, dynamic position sizing, and trailing stops—so every position automatically respects my predefined exposure limits. All code must remain within the cTrader Automate (cAlgo) environment while leveraging Python connectors where necessary. Clean, well-commented modules and a brief “how-to” document for deployment are required once the work is complete. I’m based in Kazan and would strongly prefer a local, English-speaking de...
Project Title: NinjaTrader Footprint Chart – Absorption Detection Indicator Project Description: I’m looking for an experienced NinjaTrader developer to create a custom indicator that automatically detects and marks absorption on a footprint (order flow) chart. The goal is to visually identify areas where aggressive buying/selling is being absorbed by passive liquidity. Key Requirements: Platform: NinjaTrader (NT8 preferred) Work with footprint / order flow data (bid/ask, delta, volume) Detect absorption based on conditions such as: High volume with little price movement Delta divergence (e.g., strong buying but price not moving up) Repeated absorption at key levels (optional but preferred) Automatically plot signals on chart: Mark candles/zones where absorption occurs Optional...
I trade Nifty-50 index options intraday, lean heavily on price action, EMA levels, IV and the Greeks, and have logged more than four years refining a rules-based approach that already gives me clear entries and exits. Where I want fresh eyes is on the risk side. At the moment every position is protected only with fixed stop-loss orders; I want to know whether the same edge can be kept—or improved—while lowering drawdowns and sharpening my capital deployment. Here is what I need from you: • Review the core of my strategy (I will share the exact rules, data sources and recent trade logs). • Propose and test alternative risk management frameworks—dynamic stops, volatility-adjusted position sizing, tiered exits or anything else you feel would add stability. &...
I have a quantitative strategy that performs well in back-tests and now I’m ready to let it trade live through Interactive Brokers. The goal is to turn every buy-and-sell rule I already have into a fully automated system that opens, manages, and exits positions 24/7 without my manual input. Here is what I need from you: • Connect to the Interactive Brokers API (TWS or Gateway) and translate my entry, exit, and risk-control rules into robust, well-commented code. • Build in position sizing, stop-loss/target logic, and a simple dashboard or log so we can see exactly what the bot is doing in real time. • Provide a short walk-through and a week of post-deployment support to make sure orders are routing and filling correctly. I’m looking for someone who is...
I need a Python-based trading algorithm that trades both the Nifty and Bank Nifty indices. The code should run locally on Python (feel free to lean on pandas, NumPy, TA-Lib, backtrader or similar libraries) and must be able to import and work with historical market data only—no live feed is required for this milestone. Here is what I expect: • A clean, well-commented Python script (or notebook) that ingests historical data, generates trade signals, executes the logic, and outputs detailed performance metrics and an equity curve. • Clear instructions on how to map the code to CSVs or API endpoints I already use for historical NSE data. • A short README explaining any configurable parameters so I can tweak settings for further experiments. Back-testing accuracy, ...
I am an expert trader who trades Forex full-time with a proven, rules-based system that blends technical analysis, fundamental insight, and automated execution. Over the past few years this disciplined approach has delivered reliable, repeatable returns, and I am now ready to scale it further by teaming up with a like-minded partner. What I am looking for is not a casual chat buddy but a committed professional who values structure, accountability, and steady improvement. Ideally you are located outside Europe and the United States, Asia would be perfect for time-zone coverage, but the decisive factor is mindset, not geography. How we will work together • Share and refine trade plans in real time, using agreed risk parameters. • Maintain detailed logs and analytics for conti...
I need indicators and strategies with back-testing. It will be consultancy type of work. It should work on forex and crypto. Need to find the best combination.
Build a No-Code Algo Trading Platform for US/EU Markets Description: I am looking for an experienced developer or small team to build a web-based no-code algorithmic trading platform, but focused on US and European stock markets. The platform should allow users to create, backtest, and deploy trading strategies without coding. Core Requirements: 1. Strategy Builder (No-Code) * Drag-and-drop or rule-based condition builder * Indicators like RSI, Moving Averages, VWAP, etc. * Entry, exit, stop-loss, and target conditions 2. Backtesting Engine * Historical data (preferably 1-min or 5-min candles) * Performance metrics (PnL, drawdown, win rate, Sharpe ratio) * Fast and accurate simulations 3. Market Coverage * US markets (NYSE, NASDAQ) * European markets (XETRA, ...
I need a complete high-frequency trading (HFT) strategy for actively-traded equities. The solution must be built around three data pillars that I already have in place: extensive historical tick data for back-testing, a low-latency real-time market feed for live decisions, and curated news feeds for event-driven signals. Your job is to transform these inputs into a production-ready strategy that can ingest the streams, react within microseconds, and handle the entire trade life-cycle—from signal generation through execution and risk checks—without human intervention. Deliverables • Strategy logic and mathematical model, fully documented • Back-test framework wired to my historical data, with reproducible results • Low-latency execution module that plugs...
I trade the Micro E-mini S&P 500 (MES) on a 5-minute chart and I’m ready to automate either a trend-following, mean reversion or breakout approach in Pine Script v5. The core of the strategy should combine Moving Averages and RSI—feel free to suggest the exact lengths and thresholds that you believe will pull the best edge out of this market. Performance targets are clear: a profit factor above 1.5, very modest drawdown, and an average of at least two to three trades per session. Position sizing will always be two contracts: the first exits at a defined take-profit level, while the second is left to run with a dynamic, trailing exit so we can catch extended moves. I’d like to see the completed, fully commented code along with a back-test on MES that verifies it ...
. Strategie-Setup: NQ/MNQ Orderflow Rejection & Session-Trading (Final) 1. Chart-Einstellungen (Range US Charts) Cash Session (US): Range 0/6/18 London Session: Range 0/4/12 Instrument: Ausschließlich NQ / MNQ. 2. Relevante Level (Points of Interest) Profil-Level: VAH, VAL, PDH, PDL, DH, DL. TPO M30: Tails & Single Prints (Zonen-Logik: Eintauchen und Austreten erforderlich). V-WAPs: Weekly VWAP, Daily VWAP. Open Line: Sonderregel: Nur der First Touch pro Session wird gehandelt. 3. Einstiegsszenarien Szenario A (Fake): Preis taucht ein/bricht aus -> Absorption & Delta Switch -> Entry beim Close der Rückkehr-Kerze. Szenario B (Durchbruch): Mindestens eine Kerze schließt komplett außerhalb -> Retest mit Absorption & Delta Switch -> Entry be...
Tôi cần một lập trình viên viết Pine Script trên TradingView cho một volume indicator mang tên “Voltick”. Mục tiêu là: • Hiển thị động lượng khối lượng theo Voltick trực tiếp trên biểu đồ. • Tùy chỉnh màu và độ dày của cột khi giá tăng, giảm hoặc khối lượng bằng phẳng. • Cho phép bật / tắt cảnh báo khi khối lượng Voltick vượt ngưỡng do tôi nhập. • Hoạt động mượt ở mọi khung thời gian và cặp giao dịch. • Mã sạch, chú thích rõ ràng để tôi có thể chỉnh sửa tham số nếu cần. Bàn giao: file .pine hoàn chỉnh, hướng dẫn cài đặt và một đoạn mô tả nhanh cá...
If you want to stay competitive in 2021, you need a high quality website. Learn how to hire the best possible web developer for your business fast.
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