🎯 Strategy Overview

Stop Order TP + SL is an automated strategy that places stop orders based on short-term price direction, using predefined Take Profit (TP) and Stop Loss (SL) levels for each trade.

The system includes an adjustable position sizing model that increases trade volume following a series of losses (commonly known as a step-up recovery approach), with volume reset to the initial size after a winning trade.

🔧 How It Works

Price Action Signal

• Compares the closing price of the current bar with the previous bar.
• If the current close is higher → a Buy Stop order is placed.
• If the current close is lower → a Sell Stop order is placed.

Stop Limit Order Execution

• Orders are set at a distance from market price, defined by StopOffsetPips.
• Each trade includes its own TP and SL in pip values.
• The system opens one position at a time and waits for it to close before placing another.

Position Size Adjustment

• If a trade closes in loss, the system tracks consecutive losses.
• After a set threshold (StartMartingaleAfterLosses), lot size is increased by a multiplier (MartingaleMultiplier).
• A maximum lot size (MaxLot) is enforced for safety.
• When a trade closes in profit, lot size returns to its initial value.

Spread Filter

• New trades are not opened if the current market spread exceeds the MaxSpread value.

ParameterDescription

Lot Size: Initial lot size for the first trade

Max Lot Size: Maximum allowed volume for safety

Martingale Multiplier: Lot size multiplier after losses

Start Martingale After Losses: Begin Martingale after this many losses

Take Profit / Stop Loss: Fixed TP and SL per trade (in pips)

Max Spread: Maximum spread allowed before skipping a trade

Stop Order (Pips): Distance from market price to place stop order

✅ Key Features

• Uses Stop Limit Orders (not Market Orders) to minimize slippage.
• Applies TP and SL on every trade — fully protected entries.
• Controlled Martingale logic with limit on max lot size.
• Suitable for volatile instruments like XAUUSD, NAS100, BTCUSD, etc.