Tool URL: https://magictradebot.com/en/smart-stop-loss-take-profit-simulator
Overview
The Smart Stop-Loss and Take-Profit Simulator allows traders to test, visualize, and optimize advanced exit strategies. It models trade outcomes based on dynamic stop-loss (SL) and take-profit (TP) logic using customizable parameters. Whether you're testing tight scalping exits or trailing logic for trend-following, this tool provides detailed simulations for improved risk management decisions.
Core Features
- Visual simulation of trade outcome progression
- Support for long and short positions
- Trailing SL/TP, breakeven logic, and dynamic trail scaling
- Strategy presets for quick setup
- Fine-tuned SL/TP parameter customization
Input Parameters
i. Entry Price (USD)
- Purpose: Starting point of the trade.
- Example:
100
- Notes:
- For Long: Profit when market goes above this.
- For Short: Profit when market goes below this.
ii. Final Price (USD)
- Purpose: Defines the end point of the simulation range.
- Example:
150
for Long,80
for Short - Notes: This simulates a progressive price movement from Entry → Final.
iii. Steps
- Purpose: Number of intermediate price points to simulate between entry and final price.
- Example:
40
iv. Price Precision
- Purpose: Rounding precision for simulated price steps.
- Usage: Informational only (no logic impact).
v. Tick Size
- Purpose: Minimum price movement step (used for rounding).
- Usage: Informational only (no logic impact).
vi. Trade Direction
- Options:
Long
orShort
- Effect:
- Long: Simulates rising prices for profit.
- Short: Simulates falling prices for profit.
vii. SL/TP Strategy Presets
Predefined configurations for rapid simulation setup:
Preset | Description |
---|---|
1. Basic Setup (No Trailing) | Fixed SL/TP without any trailing logic. |
2. Swing Trade with Smart Trailing SL/TP | Moderate SL/TP with trailing logic activated. |
3. Scalping Strategy (Tight SL/TP) | Aggressive, tight exit points with fast breakeven. |
4. Trend Following with Dynamic SL Widening | Dynamic trailing and adaptive scaling for long trends. |
Smart SL-TP Settings (Advanced Controls)
1. Stop Loss %
Fixed SL distance from entry.
Example: 1.5
= SL is placed 1.5% away from entry in direction of loss.
2. Take Profit %
Fixed TP distance from entry.
Example: 5
= TP is placed 5% away from entry in direction of profit.
3. Enable Stop-Loss Trailing
Enables dynamic SL that follows price in profit direction.
4. Trailing SL Offset %
Distance below current price to place trailing SL.
Example: 1.0
= SL trails 1% behind current price.
5. Enable Breakeven Protection
Moves SL to breakeven once price reaches a certain gain.
Breakeven Activation %
Example: 3.0
→ SL is moved to breakeven when price gains 3% from entry.
Breakeven Buffer %
Example: 0.2
→ SL is set slightly above entry to avoid premature exit.
▶ Example: If entry is $100
, activation at 3%
triggers at $103
. SL is moved to $100.20
with a buffer of 0.2%
.
6. Enable Take-Profit Trailing
Allows TP to trail the price if it exceeds initial TP target.
TP Trigger %
Example: 5.0
→ Trailing TP activates after 5% price gain.
▶ Example: Entry = $100
. Trigger = $105
. Trailing logic starts beyond this point.
TP Offset %
Example: 1.5
→ TP is placed 1.5% behind current peak.
▶ Example: If price hits $108
, trailing TP = $106.38
.
7. Enable Dynamic Trailing SL Scaling
Automatically widens the SL trail as gains increase to reduce premature exits.
Trailing Scaling Map
Gain % | Scale Factor | Description |
---|---|---|
5% | 1.5x | Trail becomes 1.5× wider |
10% | 2.0x | Trail becomes 2× wider |
15% | 3.0x | Trail becomes 3× wider |
▶ Example: If original trailing offset is 1.0%
and price gain = 10%
, new offset = 2.0%
.
Summary
The Smart SL/TP Simulator empowers traders with visual feedback and detailed insights into exit strategy performance. Whether refining a manual strategy or testing AI-optimized presets, this tool offers high-fidelity simulations to improve trading discipline and decision-making.
🔗 Launch Tool Now: https://magictradebot.com/en/smart-stop-loss-take-profit-simulator