The ultimate guide to hiring a web developer in 2021
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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!
从3,964个评价中,客户给我们的 Backtesting Developers 打了4.92,共5星。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!
从3,964个评价中,客户给我们的 Backtesting Developers 打了4.92,共5星。Create a TradingView indicator that helps identify high-probability trade setups using the 6:00 AM (Eastern Time) 4-hour candle as the daily reference, combined with 15-minute market structure and 15-minute reversal candle patterns. The indicator should be lightweight, easy to read, and suitable for day trading. ⸻ PART 1 – 6:00 AM 4-Hour Candle Automatically detect the 6:00 AM (EST/EDT) 4-hour candle every trading day. Display the following levels: • Opening Price • High • Low • Closing Price • 50% Midpoint Draw horizontal lines that extend throughout the trading day. Different colors for each level: • Open = White • High = Green • Low = Red • Midpoint = Yellow • Close = Blue The indicator should display the current ...
#Note:OHLC </>/crossed_below/crossed_above should be agnostic for all combos Long Combo 1 #Note:Stock universe can be detected before opening in this combo 1 C1: Accept ONLY if Daily Open = Daily Low (Bullish opening pattern) C2: Daily {LTP} crossed_above Daily Ema ( Daily Close , 5 ) C3: RSI_CONFIRMATION_INTERVAL EMA(RSI(16),23) > WMA(RSI(16),35) C4: Only 1 trade per stock (dedup) Long Combo 2 #Note:Stock universe can be detected before opening in this combo 2 C1: Accept ONLY if Daily Open = Daily Low (Bullish opening pattern) C2: 1 day ago Close > 1 day ago Low C3: 2 days ago Close > 2 days ago Low C4: 1 day ago Close > 1 day ago Sma ( Daily Close , 20 ) C5: 2 days ago Close > 2 days ago Sma ( Daily Close , 20 ) C6: Which...
Preciso de um indicador em Pine Script v5 que identifique automaticamente Fair Value Gaps (FVG) no gráfico do TradingView e gere sinais claros de entrada e saída com base nesses gaps. O que espero do trabalho: • Marcação visual dos FVGs assim que surgirem, destacando-os com cores configuráveis. • Geração de sinais de compra ou venda quando o preço toca, preenche ou deixa a região do gap (lógica detalhada podemos ajustar juntos). • Opções de ajuste no painel de configurações: sensibilidade do gap, preenchimento mínimo, timeframes a serem analisados e visibilidade das zonas antigas. • Capacidade de acionar alertas nativos do TradingView para cada sinal. •...
I’m building a fully-featured, AI-assisted crypto trading and back-testing application that runs flawlessly on both desktop and mobile screens. The stack is set: a FastAPI (Python) backend for speed, a React front end for a crisp user experience, and an embedded TradingView widget to power the charting. Here is what I expect when the job is complete: • A dark-themed, mobile-responsive interface that loads BTCUSDT, ETHUSDT, SOLUSDT and any custom symbol I enter. • The EMA 20/50 crossover strategy pre-wired, with RSI, MACD and Volume overlays and clear Buy/Sell signals plotted directly on the chart. • Risk/Reward and Position Size calculators that sit alongside the chart so a user can size trades instantly. • One-click AI screenshots of the current analysis ...
I am ready to move my current Supertrend-based option-selling strategy from spreadsheets and manual clicks to a fully automated Python script that talks directly to my Dhan account. My biggest need is hands-on support with the strategy implementation itself—translating my single-indicator rules into clean, production-ready code—and then guiding me all the way through local deployment on my own server. Here is what I want to achieve: • Code the Supertrend calculation in Python and turn its signals into market, limit or stop orders for option selling on Dhan via their REST/WebSocket API. • Include basic position sizing, stop-loss and exit logic so the bot can run unattended. • Provide a quick back-test or paper-trade mode so I can see the logic firing befor...
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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