Finvesting EA MT4

Finvesting EA MT4
Free

Finvesting EA for MT4 – Multi-Symbol Grid Trading with News Protection

Finvesting EA for MT4 is a structured, multi-symbol grid-based trading system designed for traders who want a controlled yet potentially profitable grid approach. It combines deposit-based lot sizing, news filters, and dynamic position scaling to manage risk while capturing small market retracements.

While the system offers moderate profitability, it carries significant drawdown risk, a common trait of grid mechanics. Proper capital allocation and risk management are essential for safe operation.


Recommended Trading Settings

For optimal performance and stability:

  • Currency Pairs: EURUSD, GBPUSD, USD, CAD, AUD, NZD (as verified)
  • Timeframe: M15
  • Minimum Deposit: $10,000 (recommended for grid stability)
  • Leverage: 1:100 or higher
  • Account Type: ECN with low spreads

The EA can trade up to two symbols simultaneously, diversifying exposure but increasing margin usage during grid expansion.


Key Features of Finvesting EA

Structured Grid System

Customizable trade distance and multipliers, with maximum trades capped at 9 to prevent uncontrolled expansion.

News Filter Protection

Blocks trading before and after medium and high-impact news events, protecting the grid from sudden fundamental volatility.

Dynamic Lot Sizing

Deposit-based position sizing at 0.25% load ensures conservative exposure while allowing flexibility for different account sizes.

Multi-Symbol Capability

Supports simultaneous trading on two pairs to diversify risk and improve opportunity capture.

Real-Time Basket Management

Automatically manages trade baskets, capturing retracements while aiming for small, consistent profits.


Trading Strategy

Finvesting EA operates on a grid-based recovery model:

  1. Initiates an initial trade based on internal logic and distance parameters
  2. Adds additional positions at set distances if the market moves against the original trade
  3. Adjusts spacing dynamically using the Smart Distance parameter to match current volatility
  4. Closes baskets once the profit target or grid conditions are met

This approach works best in stable, ranging markets. While the equity curve trends upward, sharp drawdowns occur during extended directional moves when the grid accumulates exposure before recovering.

Backtest Highlights:

  • Net Profit: $1,004.06 on $10,000 initial deposit
  • Profit Factor: 1.35 (modest statistical edge)
  • Max Drawdown: 40.73% ($4,300.16)
  • Total Trades: 755, with >71% win rate
  • First Trade Take Profit: 10 pips (Scalping-style target)

The system’s profitability comes from frequent small gains rather than large single wins, but large drawdowns can occur if trends persist against the grid.


Trading Signals & Mechanics

  • Trades triggered by internal price-distance logic
  • Supports buy, sell, and hedging positions
  • First trade has a fixed 10-pip Take Profit
  • Grid positions scale automatically based on multipliers and spacing
  • News filter suspends trading during high-impact events

The combination of automatic scaling and news protection allows the EA to navigate ranging markets effectively while reducing exposure during volatile spikes.


Conclusion

Finvesting EA for MT4 is a disciplined grid trading solution designed for traders who understand dynamic grid mechanics and can tolerate significant drawdowns.

  • Pros:
    • Structured grid with capped trades
    • Multi-symbol diversification
    • Built-in news filter protection
    • Consistent small profits with statistical reliability
  • Cons:
    • High drawdown potential (~40%)
    • Slow profit ramp-up, requiring patient capital allocation
    • Not suitable for low-risk or aggressive martingale-averse traders

With careful lot sizing and risk management, Finvesting EA can provide a controlled grid trading system rather than a high-risk martingale experiment. Traders should prepare for deep, temporary drawdowns and invest only what they can withstand psychologically and financially.

Published:

Feb 24, 2026 09:53 AM

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