Overview: This AI Trading Agent combines two complementary trading approaches — Trend Following and Counter-Trend — within a single trading system.
Instead of relying on one market behavior, the Agent is designed to identify different types of market conditions and apply the appropriate trading logic.
The Trend-Following component seeks to participate in established or developing directional moves, while the Counter-Trend component looks for shorter-term opportunities during pullbacks, temporary weakness, consolidation, and range-bound conditions.
This combination allows the Agent to operate across a broader range of market environments rather than depending exclusively on either trending or sideways markets.
Financial markets do not move in one consistent pattern.
At different times, the same stock can:
develop a strong directional trend;
experience a temporary pullback;
consolidate in a trading range;
reverse after an extended move;
resume the previous trend;
remain inactive without a clear trading opportunity.
A single trading strategy may perform well in some of these environments and struggle in others.
The Trend + Counter-Trend Agent addresses this by combining two different trading models.
Trend Following → participates in directional market moves
Counter-Trend → searches for shorter-term rebound and mean-reversion opportunities
The objective is not to predict which market environment will occur next. Instead, the Agent continuously evaluates market conditions and applies the trading logic appropriate for the current setup.
The trend-following model is designed to identify stocks showing sustained directional momentum.
It may look for:
developing or established trends;
increasing directional momentum;
breakouts or continuation patterns;
confirmation of the prevailing market direction;
strong price movement supported by market participation.
When the market continues moving in the same direction, the trend-following component is designed to remain aligned with that movement rather than attempting to anticipate a reversal.
Strong Directional Market → Trend-Following Logic
The counter-trend model operates according to a different principle.
Instead of following an extended directional move, it searches for shorter-term opportunities created by:
significant price declines;
temporary price weakness;
short-term exhaustion;
consolidation after a strong move;
sideways trading ranges;
potential rebounds from short-term oversold conditions.
The objective is to capture shorter price movements that can occur even when there is no sustained trend.
Pullback / Consolidation / Sideways Market → Counter-Trend Logic
The main advantage of combining the two approaches is market-condition diversification.
Trend-following and counter-trend strategies are based on fundamentally different assumptions about price behavior.
A trend-following system benefits when price continues moving in one direction.
A counter-trend system can search for opportunities when price temporarily moves against a previous direction or remains inside a range.
Because these situations can occur at different times, combining the two approaches can reduce dependence on a single type of market behavior.
For example:
Strong upward movement
→ Trend-following logic can participate in the directional move.
Strong move followed by a temporary decline
→ Counter-trend logic can search for a potential rebound.
Extended consolidation
→ Counter-trend logic can search for shorter-term opportunities within the range.
New directional breakout
→ Trend-following logic can become relevant again.
This creates a system designed to adapt to changing market conditions rather than forcing every market situation into the same strategy.
The Agent continuously evaluates current market conditions before generating trading decisions.
The system can analyze factors such as:
price behavior;
momentum;
trend strength;
volatility;
trading volume;
consolidation;
pullbacks;
directional persistence;
changing market conditions.
Based on this analysis, the Agent determines which trading logic is more appropriate for the current environment.
The system is therefore not simply running two independent strategies at the same time.
Instead, Trend Following and Counter-Trend are complementary components of one adaptive trading framework.
The Agent uses machine-learning models to analyze changing market conditions and identify patterns associated with different types of price behavior.
The models evaluate whether the market is exhibiting characteristics more consistent with:
Trend → directional continuation
or
Counter-Trend → pullback, rebound, or consolidation
This allows the Agent to adjust its trading behavior as market conditions change.
The objective is not to predict every price movement, but to determine whether the current market structure provides a suitable opportunity for one of the two trading approaches.
The Agent can be configured according to the trading universe and strategy design.
Direction: LONG
Trading Universe: ASST
Primary Timeframe: 60min
Strategy Components: Trend Following + Counter-Trend
Risk management is integrated into the trading logic.
The Agent evaluates market conditions before entering a position and continuously reassesses existing positions as conditions change.
Depending on the configuration, the system may use:
selective entries;
staged entries;
partial exits;
dynamic profit targets;
trend confirmation;
volume confirmation;
volatility-based adjustments;
continuous position reassessment.
The Agent does not need to remain permanently invested.
When neither the trend-following nor counter-trend criteria are sufficiently strong, the system can remain outside the market.
The two components serve different purposes within the same system.
Trend Following
Designed to participate in larger directional price movements.
Counter-Trend
Designed to capture shorter-term opportunities during pullbacks, rebounds, and consolidation.
This creates two different potential sources of trading opportunities:
Directional Movement → Trend Following
Short-Term Reversal / Range → Counter-Trend
Rather than expecting one strategy to perform under every market condition, the combined Agent is designed to recognize that markets can behave differently at different times.
Consider a stock that begins with a strong upward movement.
The Trend-Following component can identify the developing trend and seek to participate in the continuation.
The stock then experiences a sharp temporary decline.
Instead of automatically treating the decline as the beginning of a new trend, the Counter-Trend component can evaluate whether the selling pressure is weakening and whether conditions for a short-term rebound are developing.
If the stock subsequently resumes its upward trend, the Trend-Following component can again become relevant.
The same security can therefore generate opportunities from different phases of the same market cycle.
The key benefit of the combined approach is not simply having more trades.
It is having different trading logic available for different market conditions.
A trend-only system can spend significant time waiting when markets are moving sideways or repeatedly reversing.
A counter-trend-only system can face difficulties when a strong directional move continues much further than expected.
Combining the two approaches creates a framework where:
trends can be addressed with trend-following logic;
pullbacks can be evaluated with counter-trend logic;
consolidation can provide shorter-term opportunities;
the system can reduce activity when conditions are unclear;
the strategy is less dependent on one specific market regime.
This does not eliminate risk, and neither component is expected to perform equally well in every market environment.
The purpose of the combination is to provide different sources of opportunity across changing market conditions.
Core Objective: Adapt trading logic to changing market conditions rather than relying on a single strategy type.
Maximum Open Positions: Low, maintaining focused and strategic trading rather than volume, which is suitable for managing high volatility with precision.
Robot Volatility: High, suited for navigating and capitalizing on market swings.
Universe Diversification Score: Low, indicating a narrow array of instruments to hedge against sector-specific downturns and enhance profit opportunities.
Profit to Dip Ratio (Profit/Drawdown): High, suitable for traders who are focusing either on high profit or low drawdown for potentially higher returns, which makes it ideal for all levels.
Optimal Market Condition Medium: If the current market volatility is Medium, then you should use the Best Robots in Medium Volatility Market (VIX is Medium - this indicator is coming soon).
Disclaimer: Disclaimers and Limitations
Simulated Performance: All simulated performance results are derived solely from real-time calculations using historical data. Algorithms receive minute-by-minute historical prices and other data from Morningstar and generate trades in real time based on these historical inputs, effectively eliminating any hindsight bias.
Actual Performance: All actual performance results are derived solely from real-time calculations using current data. Algorithms receive minute-by-minute current prices and other data from Morningstar and generate trades in real time based on these current inputs, effectively eliminating any hindsight bias.
Gross Performance: Gross performance results do not deduct any fees or expenses. These results reflect the total returns generated by the AI Robots without considering the costs associated with accessing the service.
Net Performance (current performance chart): Net performance results deduct fees to provide a more accurate representation of returns experienced by the user. These deductions can include: Model Fee Deduction: Net performance results may deduct a model fee equivalent to the highest subscription fee charged to the intended audience. Actual Subscription Fees: Net performance results may also deduct the actual subscription fees paid by the user for access to AI Robot
This Robot is recommended to be used when the markets are growing in general. The core algorithm makes only long The core algorithm makes only long