Specifiche
Here's a strategy description:
Strategy: SMA-MACD Scaling Strategy
Objective:
Develop a trend-following strategy that uses SMA crossovers and MACD histogram for entry signals, incorporates scaling entries, and manages positions with adaptive take profit and stop loss orders.
Key Components:
Indicators:
20-period Simple Moving Average (SMA20)
200-period Simple Moving Average (SMA200)
MACD (12, 26, 9)
Entry Conditions:
Long:
a) SMA20 and SMA200 slopes are positive
b) MACD histogram turns negative
c) Wait for histogram weakness (ratio open)
Scaling:
Initial entry: 1 contract
Scale entries at 2, 4, 6, and 8 points away from initial entry
Scale sizes: 2, 3, 6, and 12 contracts respectively
Exit Strategy:
Take Profit: 2 points from the last scale entry price
Stop Loss: Starts 2 points behind entry, trails the market once 3 points in profit
Position Management:
Use StopTargetHandling = StopTargetHandling.ByStrategyPosition
Manage a single take profit order for the entire position
Update take profit size as scaling entries are filled
Risk Management:
Maximum position size: 24 contracts
Implement overall strategy stop loss
Additional Features:
Implement a reset mechanism for cycle completion
Add status display for current market conditions and strategy state
Include sound alerts for key events (entries, exits)
Development Guidelines:
Use NinjaTrader 8 framework
Implement proper error handling and logging
Ensure clean state management between trades
Optimize for real-time trading performance
Include thorough comments for code maintainability
Testing:
Backtest on historical data
Forward test in simulation mode
Monitor and log all entries, exits, and scaling behavior
Verify correct handling of take profit and stop loss orders
Remember to thoroughly test each component and the strategy as a whole under various market conditions to ensure robust performance.Expert only should bid on the project
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