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**Project Title:** Machine Learning Model to Analyze Price Behaviour Around Moving Average (Forex – XAUUSD) **Project Description:** We are building a quantitative research project focused on understanding and modeling **price behaviour around a Moving Average** using machine learning techniques. The objective is to develop a **statistical/ML model that can estimate the probability and confidence of price movement relative to a moving average**. This project is specifically focused on **XAUUSD (Gold) in the Forex market**, using **1-minute historical data**. The key requirement is that the **model must analyze price dynamics strictly around the Moving Average**, without relying on additional technical indicators such as RSI, MACD, Bollinger Bands, etc. We want to understand and ...

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I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

I need my NZPack-powered NinjaTrader environment configured from scratch so I can reliably backtest and refine a metals strategy (gold and silver). Your task begins with a clean install: connect to my machine through the temporary remote credentials I will supply, load NZPack, adjust any dependencies, and verify that every component compiles without errors. Because I don’t yet have the historical data, please locate a high-quality tick or one-minute feed that covers at least the past five years of COMEX gold and silver futures, import it, and build the necessary databases so the platform can run fast, repeated simulations. Once the data is in place, run representative backtests that highlight the performance of my current template. I am interested in performance optimisation rather...

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Due to a significant inconvenience caused by another developer who lied about their competences and in the space of 17 days of allocating the project to them, they did absolutely nothing and failed to communicate along the way, I am now having to relist this project. Please can you bid on this based on your estimate for a total development cost. I am seeking to develop a bot for C Trader using a Fair Value Gaps strategy on predominantly the 1 and 3 minute timeframe for DAX and NASDAQ which will require the conversion of an indicator from Trading View to facilitate. I initially had in mind the idea of creating it as a Trading View Pinescript strategy that could then be executed on C Trader, but as Trading View receives data in lag which can often be delayed by up to 10 secs, this would aff...

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I'm looking to develop a TradingView indicator coupled with a trading bot that executes commands based on the indicator's signals. My manual trading has been successful, but automation via Pine Script results in poor backtest outcomes. Scope of work - Develop a Pine Script v6 indicator for TradingView with robust backtesting showing 25-50% annual returns over 150-450 trades. - Create a Python trading bot using ccxt for multi-exchange operation with webhook integration. - Ensure the bot supports Bybit, Binance, OKX, and others, with configurable trading pairs and risk management settings. - Optimize the indicator by refining multi-timeframe levels, ATR positioning, and volume analysis to balance between price lag and premature entries. - Implement advanced trading strategies like ...

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I am ready to turn my rough Supertrend-based idea into a fully automated strategy on Tradetron, wired directly to the mStock broker gateway. The core logic is already sketched out, but it still needs precise indicator tuning, entry/exit rules, and whatever additional risk controls you believe will add value. Once the Supertrend parameters are locked in, I also want the option to bolt on position sizing or protective-stop logic if the numbers make sense. Your mission is to: • Translate my concept into clean, well-commented Tradetron blocks (or custom Python if required) • Link the strategy to mStock’s API and prove orders fire correctly in paper/live mode • Walk me through a quick back-test and a small real-money rollout so I can see slippage and latency firsthan...