The project aims at developing an Automated trading application for IQOption

The file must be fast to move with the market. It must be transparent it must move accordingly with the market and increase the money and also with less risk

I am looking for an experienced developer in MQL5 to build a fully AI and automated trading bot (Expert Advisor) for MetaTrader 5. The EA will trade XAUUSD only and will be based purely on price action and Smart Money Concepts (SMC), specifically focusing on liquidity sweeps, market structure shifts (MSS/CHoCH), and wick rejection entries at key points of interest (POIs). The system must follow a strict rule: no

We are looking for a developer to finish and stabilize an existing Kalshi trading bot (~60% complete) built in TypeScript. This is not a MetaTrader EA. The system interacts with the Kalshi API and requires strong understanding of execution logic, order handling, and state management. Scope of Work: Review and understand existing TypeScript codebase Complete missing functionality Fix execution issues (order placement

Prepare expert for Live Chart . Trailing Stop Loss Based on Thresholds needs to be implemented . Live Behavior Based implementation . Logic needs to be changed/upgraded . Couple of parameters to be deleted . Other Filters like news and sessions already coded . Only one symbol to prepare for live , the other one is already optimized . Do ask me to provide you with screen shots of current live scenario

You can control via Telegram: /start - enable bot, begin trading, /stop - end trading, disable bot /status - trade status Bot requirements: • Automated trading throughout the day until 00:00 UTC (Moscow time) (I do not want to trade or turn the bot on 100 times a day). • Auto shutdown of the bot in Telegram at 00:00 UTC (Moscow time) and manual restart when convenient. • Market analysis 24/5 using 20 EMA, RSI, and

It must have automated stop loss. Something that can end poverty and kill the market early.It must take the trades for me whenever I start it it must work on tradeport ea

The basic idea of CRO is to simulate coral colonies that develop and compete for space on a reef, ultimately forming an optimal structure. Each coral in the reef represents a potential solution to the optimization problem under consideration. The reef is modeled as a two-dimensional N×M grid. Each grid cell can either be occupied by a coral or left empty. A coral is a coded solution to an optimization problem. For

Zone detection is coded , you will be working from that point . Trailing Stop Optimization for live chart . Apply Specific Currency Support . Clean Code . Zone Upper Limit and Lower Limit