FreelanceKategorien

Build a Robust Forexo Trading Bot MT5 EA with Risk Controls, Backtesting, and Myfxbook/FXBlue Linking

MQL5 Experten Forex Debugging eines Roboters/Indikators Optimierung von Strategien Statistik und Mathematik Python

Auftrag beendet

Ausführungszeit 12 Tage
Bewertung des Kunden
One of the best developers I have worked with on the MQL5 platform. He understands everything quickly and implements every requirement with ease. Working with him was an excellent experience for me.
Bewertung des Entwicklers
One of the best customers ever, patient and understanding, will work with you again. Thank you

Spezifikation

I’m hiring an experienced algorithmic trading developer to build a production-grade bot. The system must implement a clear edge, strict risk management, reliable execution, and verifiable reporting.

Target Platforms (choose one or both)

  • MT4/MT5 EA (MQL4/MQL5), broker: ____ (e.g., IC Markets/Exness), leverage: ____

  • Python bot using CCXT (Binance/Bybit/OKX), running on Linux VPS (systemd/Docker)

Strategy (initial scope)

  • Entry: any of (liquidity sweep + BOS, breaker/OTE, EMA crossover, RSI filter, session/time window).

  • Exit: fixed TP/SL, ADR-based targets, trailing stop, time-based exit.

  • Filters: session (London/NY), high-impact news (optional), spread/slippage guard.

Risk Management (must-have)

  • Fixed % risk per trade, max daily loss, max total drawdown auto-shutdown

  • Position sizing (per-pair caps), N max concurrent trades

  • Optional DCA safety orders with hard stop (no martingale without cap)

Core Features

  • Configurable via external file (JSON/INI)

  • Backtesting + walk-forward (MT5 Tester / Python–vectorbt/backtrader)

  • Live metrics push to Myfxbook/FXBlue (MT) or a simple web dashboard (Flask)

  • Logging, error handling, re-connect logic, order-idempotency

  • VPS deploy script + runbook

Deliverables

  1. Source code + build/run instructions

  2. Config templates + parameter guide

  3. Backtest report (last 2–5 years, multiple symbols) with equity curve, PF, win-rate, max DD, Sharpe, monthly returns

  4. One-pager on risk assumptions & failure modes

  5. 2–4 weeks warranty/bug-fix

Acceptance Criteria / KPIs (for demo/small live):

  • Max peak-to-valley drawdown ≤ __% in backtest; PF ≥ __; at least __ symbols tested

  • Live/dry-run stability for __ trading days without crashes

  • All risk-limits enforce correctly (prove via logs)

Nice-to-Have

  • News/calendar filter, spread/volatility adaptive sizing, partial TP, pyramiding with caps

What to include in your proposal

  • 3 relevant projects (links/GitHub)

  • Brief on your preferred stack & why

  • Estimated timeline & milestones

  • Fixed price or hourly + estimate

  • Your thoughts on my strategy outline (improvements/risks)


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Projektdetails

Budget
200 - 500 USD
Ausführungsfristen
von 5 bis 30 Tag(e)