NASDAQ Futures Trading Strategy (Ninjatrader8 NT8)
Budget: $250 – $750 USD
Hi there, below is the objective, the attached PDF is formatted much better, below is just the "copy & paste" content to make it easier to find this job posting. Kindly refer to all the details provided in the PDF document.
In terms of location, I am prefering canddiates that work in TIME ZONES GMT0 - GMT +6
Thanks for your interest and looking forward to your interest in this project.
Titus.
Objective
To develop a comprehensive and high-performance trading strategy for NASDAQ futures using NinjaTrader and NinjaScript. The strategy focuses on momentum, trend-following, and volatility, with a goal of achieving a Sharpe Ratio of at least 1.5. It requires frequent optimization based on the latest market trends and conditions.
Key Components
Point System for Entry/Exit Conditions
Evaluate multiple factors to generate a point score that dictates trade entry. Adjust stop-loss (SL) and take-profit (TP) parameters dynamically based on market conditions.
Implementation Details
Factors and Point Allocation
Market Sentiment (Bullish/Bearish)
Moving Average Crossover:
Bullish Crossover (short-term MA > long-term MA): +10 points
Bearish Crossover (short-term MA < long-term MA): -10 points
RSI Confirmation:
RSI > 50 (Bullish): +5 points
RSI < 50 (Bearish): -5 points
Market Condition
Trend Strength (ADX):
ADX > 25 (Strong Trend): +10 points
ADX < 20 (Weak Trend): -10 points
Mean Reversal Signals:
Bollinger Band Cross: +5 points for upper band cross, -5 points for lower band cross
Momentum:
Momentum Indicator > Threshold: +10 points
Volatility Measurement
ATR (Average True Range):
High ATR (indicating high volatility): +10 points
Low ATR (indicating low volatility): -10 points
Support and Resistance Zones
Proximity to Support/Resistance:
Near Support: +5 points
Near Resistance: -5 points
Market Events
High-Impact News Events:
Pre-event: -20 points (no trades should be entered)
Post-event (30 minutes buffer): +10 points if market moves favorably
Determining Trade Conditions
Thresholds for Trade Entry:
Entry Threshold: Minimum score required to enter a trade (e.g., +15 points for bullish, -15 points for bearish)
Exit Conditions: Close trade if score drops below a certain threshold or key event occurs.
Dynamic Stop-Loss and Take-Profit:
Volatility-Adjusted SL/TP:
High Volatility (ATR score high): Wider SL and TP brackets, smaller position size
Low Volatility (ATR score low): Tighter SL and TP brackets, larger position size
Example Calculation
Current Market State:
MA Crossover: Bullish (+10 points)
RSI: 55 (+5 points)
ADX: 30 (Strong Trend) (+10 points)
ATR: High (+10 points)
Proximity to Support: Near Support (+5 points)
No Imminent Market Events
Total Score: 10 (MA Crossover) + 5 (RSI) + 10 (ADX) + 10 (ATR) + 5 (Support) = +40 points
Trade Decision:
Score (+40) > Entry Threshold (+15): Enter long trade.
Volatility Adjustment: High ATR implies using wider SL and TP.
Position Sizing: Reduce position size due to high volatility.
Integration with Risk Management
Adjusting Parameters Based on Score:
Stop-Loss (SL) and Take-Profit (TP):
High Volatility (Score > 30): SL = ATR * 2, TP = ATR * 4
Moderate Volatility (Score between 15 and 30): SL = ATR * 1.5, TP = ATR * 3
Low Volatility (Score < 15): SL = ATR, TP = ATR * 2
Position Size Adjustment:
High Volatility: Position size = Standard position size / 2
Moderate Volatility: Position size = Standard position size
Low Volatility: Position size = Standard position size * 1.5
Entry and Exit Conditions
Entry Conditions: Per the above points model.
Exit Conditions: Per the defined SL and TP limits.
Risk Management
Position Sizing
Predefined Risk Percentage: Each trade will risk a predefined percentage of the portfolio, a configurable variable (e.g., 1% of total equity).
Break-Even Adjustment
Initial Stop Loss: Based on a fixed number of ticks or a volatility measure like ATR.
Break-Even Point: Adjust the stop loss to break-even after gaining a predefined number of ticks (e.g., 15 ticks, configurable).
Scaling Up Positions
Profit Target for Scaling: Scale up the position after reaching the first profit target (e.g., 20 ticks, configurable).
Stop Loss Adjustment: Adjust the overall stop loss for the scaled position back to break-even.
Take Profit
First Position Closure: Close the initial position after reaching a higher profit target (e.g., 25 ticks, configurable).
Second Position Closure: Close the scaled-up position after reaching an additional profit target (e.g., another 10 ticks beyond the first take profit, configurable).
Risk to Reward Ratio
Objective: Aim for a risk to reward ratio of 2:1.
Loss Limitation
Consecutive Losses Warning: Implement a warning system to stop the strategy if a certain number of consecutive losses are encountered (e.g., 10 consecutive losses).
Variables Needed
RiskPercentage: The percentage of the portfolio to risk per trade.
BreakEvenTicks: The number of ticks gained before adjusting the stop loss to break-even.
ScaleUpTicks: The number of ticks gained before scaling up the position.
FirstTakeProfitTicks: The number of ticks gained before closing the initial position.
SecondTakeProfitTicks: The additional number of ticks gained before closing the scaled-up position.
MaxConsecutiveLosses: The maximum number of consecutive losses before the strategy stops.
ConsecutiveLosses: A counter to track the number of consecutive losing trades.
Custom Indicators
Support and Resistance Zones Indicator
Description: Identifies and visualizes areas of support and resistance both intraday and over a longer term.
Parameters:
IntradayPeriod: The period for calculating intraday support and resistance (e.g., last 5 hours).
LongTermPeriod: The period for calculating longer-term support and resistance (e.g., last 10 days).
Margin: The margin to consider an area as support or resistance (e.g., 1%).
Functionality:
Calculate and plot support and resistance levels.
Different colors/styles for intraday and long-term zones.
Adjust the width of the support and resistance zones.
Volatility and Key Level Indicator
Description: Identifies possible areas of increased volatility, focusing on key levels such as the 100 and 1000 marks of NASDAQ futures.
Parameters:
VolatilityThreshold: The threshold value for entering a trade based on the point system.
KeyLevels: Specific key levels to monitor for increased volatility (e.g., 100, 1000).
Functionality:
Mark key levels on the chart.
Assign points based on conditions and enter trades when the threshold is met.
Key Event Indicator
Description: Captures key events from publicly available high-impact market events and prevents trading around these times.
Parameters:
PreEventBuffer: Time in minutes before the event when trading should be stopped (e.g., 30 minutes).
PostEventBuffer: Time in minutes after the event when trading should be resumed (e.g., 30 minutes).
ClosePositionBuffer: Time in minutes before the event when all positions should be closed (e.g., 15 minutes).
Functionality:
Fetch and display key market events on the chart.
Prevent trades during the specified buffer times.
Ensure all positions are closed before the event.
Additional Requirements
Logging Capabilities: Implement detailed logging to capture all indicator results, point scores, and trade decisions. This will aid in future debugging and optimization.
Visualization: Develop screens to display all indicator results, point scores, and current market conditions. This will provide a clear overview for monitoring and optimization.
Conclusion
Ensure that the strategy and indicators are modular, well-documented, and optimized for performance. The final deliverable should include:
The complete NinjaScript code for the strategy and custom indicators.
Documentation explaining the parameters, logic, and usage of the strategy and indicators.
A logging system to track strategy performance and aid in debugging.
Visualization tools to display key information and results.
Quotation Requirements
Estimated time and cost to develop the strategy and custom indicators.
Details of previous experience with NinjaTrader and similar projects.
Approach to ensuring high performance and reliability of the strategy.
Any additional suggestions or improvements based on your expertise.
In terms of location, I am prefering canddiates that work in TIME ZONES GMT0 - GMT +6
Thanks for your interest and looking forward to your interest in this project.
Titus.
Objective
To develop a comprehensive and high-performance trading strategy for NASDAQ futures using NinjaTrader and NinjaScript. The strategy focuses on momentum, trend-following, and volatility, with a goal of achieving a Sharpe Ratio of at least 1.5. It requires frequent optimization based on the latest market trends and conditions.
Key Components
Point System for Entry/Exit Conditions
Evaluate multiple factors to generate a point score that dictates trade entry. Adjust stop-loss (SL) and take-profit (TP) parameters dynamically based on market conditions.
Implementation Details
Factors and Point Allocation
Market Sentiment (Bullish/Bearish)
Moving Average Crossover:
Bullish Crossover (short-term MA > long-term MA): +10 points
Bearish Crossover (short-term MA < long-term MA): -10 points
RSI Confirmation:
RSI > 50 (Bullish): +5 points
RSI < 50 (Bearish): -5 points
Market Condition
Trend Strength (ADX):
ADX > 25 (Strong Trend): +10 points
ADX < 20 (Weak Trend): -10 points
Mean Reversal Signals:
Bollinger Band Cross: +5 points for upper band cross, -5 points for lower band cross
Momentum:
Momentum Indicator > Threshold: +10 points
Volatility Measurement
ATR (Average True Range):
High ATR (indicating high volatility): +10 points
Low ATR (indicating low volatility): -10 points
Support and Resistance Zones
Proximity to Support/Resistance:
Near Support: +5 points
Near Resistance: -5 points
Market Events
High-Impact News Events:
Pre-event: -20 points (no trades should be entered)
Post-event (30 minutes buffer): +10 points if market moves favorably
Determining Trade Conditions
Thresholds for Trade Entry:
Entry Threshold: Minimum score required to enter a trade (e.g., +15 points for bullish, -15 points for bearish)
Exit Conditions: Close trade if score drops below a certain threshold or key event occurs.
Dynamic Stop-Loss and Take-Profit:
Volatility-Adjusted SL/TP:
High Volatility (ATR score high): Wider SL and TP brackets, smaller position size
Low Volatility (ATR score low): Tighter SL and TP brackets, larger position size
Example Calculation
Current Market State:
MA Crossover: Bullish (+10 points)
RSI: 55 (+5 points)
ADX: 30 (Strong Trend) (+10 points)
ATR: High (+10 points)
Proximity to Support: Near Support (+5 points)
No Imminent Market Events
Total Score: 10 (MA Crossover) + 5 (RSI) + 10 (ADX) + 10 (ATR) + 5 (Support) = +40 points
Trade Decision:
Score (+40) > Entry Threshold (+15): Enter long trade.
Volatility Adjustment: High ATR implies using wider SL and TP.
Position Sizing: Reduce position size due to high volatility.
Integration with Risk Management
Adjusting Parameters Based on Score:
Stop-Loss (SL) and Take-Profit (TP):
High Volatility (Score > 30): SL = ATR * 2, TP = ATR * 4
Moderate Volatility (Score between 15 and 30): SL = ATR * 1.5, TP = ATR * 3
Low Volatility (Score < 15): SL = ATR, TP = ATR * 2
Position Size Adjustment:
High Volatility: Position size = Standard position size / 2
Moderate Volatility: Position size = Standard position size
Low Volatility: Position size = Standard position size * 1.5
Entry and Exit Conditions
Entry Conditions: Per the above points model.
Exit Conditions: Per the defined SL and TP limits.
Risk Management
Position Sizing
Predefined Risk Percentage: Each trade will risk a predefined percentage of the portfolio, a configurable variable (e.g., 1% of total equity).
Break-Even Adjustment
Initial Stop Loss: Based on a fixed number of ticks or a volatility measure like ATR.
Break-Even Point: Adjust the stop loss to break-even after gaining a predefined number of ticks (e.g., 15 ticks, configurable).
Scaling Up Positions
Profit Target for Scaling: Scale up the position after reaching the first profit target (e.g., 20 ticks, configurable).
Stop Loss Adjustment: Adjust the overall stop loss for the scaled position back to break-even.
Take Profit
First Position Closure: Close the initial position after reaching a higher profit target (e.g., 25 ticks, configurable).
Second Position Closure: Close the scaled-up position after reaching an additional profit target (e.g., another 10 ticks beyond the first take profit, configurable).
Risk to Reward Ratio
Objective: Aim for a risk to reward ratio of 2:1.
Loss Limitation
Consecutive Losses Warning: Implement a warning system to stop the strategy if a certain number of consecutive losses are encountered (e.g., 10 consecutive losses).
Variables Needed
RiskPercentage: The percentage of the portfolio to risk per trade.
BreakEvenTicks: The number of ticks gained before adjusting the stop loss to break-even.
ScaleUpTicks: The number of ticks gained before scaling up the position.
FirstTakeProfitTicks: The number of ticks gained before closing the initial position.
SecondTakeProfitTicks: The additional number of ticks gained before closing the scaled-up position.
MaxConsecutiveLosses: The maximum number of consecutive losses before the strategy stops.
ConsecutiveLosses: A counter to track the number of consecutive losing trades.
Custom Indicators
Support and Resistance Zones Indicator
Description: Identifies and visualizes areas of support and resistance both intraday and over a longer term.
Parameters:
IntradayPeriod: The period for calculating intraday support and resistance (e.g., last 5 hours).
LongTermPeriod: The period for calculating longer-term support and resistance (e.g., last 10 days).
Margin: The margin to consider an area as support or resistance (e.g., 1%).
Functionality:
Calculate and plot support and resistance levels.
Different colors/styles for intraday and long-term zones.
Adjust the width of the support and resistance zones.
Volatility and Key Level Indicator
Description: Identifies possible areas of increased volatility, focusing on key levels such as the 100 and 1000 marks of NASDAQ futures.
Parameters:
VolatilityThreshold: The threshold value for entering a trade based on the point system.
KeyLevels: Specific key levels to monitor for increased volatility (e.g., 100, 1000).
Functionality:
Mark key levels on the chart.
Assign points based on conditions and enter trades when the threshold is met.
Key Event Indicator
Description: Captures key events from publicly available high-impact market events and prevents trading around these times.
Parameters:
PreEventBuffer: Time in minutes before the event when trading should be stopped (e.g., 30 minutes).
PostEventBuffer: Time in minutes after the event when trading should be resumed (e.g., 30 minutes).
ClosePositionBuffer: Time in minutes before the event when all positions should be closed (e.g., 15 minutes).
Functionality:
Fetch and display key market events on the chart.
Prevent trades during the specified buffer times.
Ensure all positions are closed before the event.
Additional Requirements
Logging Capabilities: Implement detailed logging to capture all indicator results, point scores, and trade decisions. This will aid in future debugging and optimization.
Visualization: Develop screens to display all indicator results, point scores, and current market conditions. This will provide a clear overview for monitoring and optimization.
Conclusion
Ensure that the strategy and indicators are modular, well-documented, and optimized for performance. The final deliverable should include:
The complete NinjaScript code for the strategy and custom indicators.
Documentation explaining the parameters, logic, and usage of the strategy and indicators.
A logging system to track strategy performance and aid in debugging.
Visualization tools to display key information and results.
Quotation Requirements
Estimated time and cost to develop the strategy and custom indicators.
Details of previous experience with NinjaTrader and similar projects.
Approach to ensuring high performance and reliability of the strategy.
Any additional suggestions or improvements based on your expertise.
Related categories:
C# Programming
Financial Markets
Mathematics
Software Development
Statistical Modeling