Signale
Widget hinzufügen
Regeln
Wolfbot
- Equity
- Rückgang
Verteilung
| Symbol | Trades | Sell | Buy | |
|---|---|---|---|---|
| TSLA | 18 | |||
| AMAZON | 15 | |||
| AAPL | 14 | |||
| NVIDIA | 13 | |||
| META | 13 | |||
| GOOG | 12 | |||
| MSFT | 9 | |||
| USOUSD | 8 | |||
| BAC | 1 | |||
| PLTR | 1 | |||
| PG | 1 | |||
| JPM | 1 | |||
|
5
10
15
20
|
5
10
15
20
|
5
10
15
20
|
| Symbol | Bruttoprofit, USD | Loss, USD | Profit, USD | |
|---|---|---|---|---|
| TSLA | 63 | |||
| AMAZON | -34 | |||
| AAPL | 48 | |||
| NVIDIA | 15 | |||
| META | -112 | |||
| GOOG | -44 | |||
| MSFT | 21 | |||
| USOUSD | 305 | |||
| BAC | 10 | |||
| PLTR | 30 | |||
| PG | 4 | |||
| JPM | 32 | |||
|
100
200
300
400
500
|
100
200
300
400
500
|
100
200
300
400
500
|
| Symbol | Bruttoprofit, pips | Loss, pips | Profit, pips | |
|---|---|---|---|---|
| TSLA | 4.2K | |||
| AMAZON | -1.2K | |||
| AAPL | 2K | |||
| NVIDIA | 925 | |||
| META | -7.6K | |||
| GOOG | -4.2K | |||
| MSFT | -143 | |||
| USOUSD | 31K | |||
| BAC | 84 | |||
| PLTR | 653 | |||
| PG | 87 | |||
| JPM | 1.4K | |||
|
10K
20K
30K
40K
50K
|
10K
20K
30K
40K
50K
|
10K
20K
30K
40K
50K
|
- Deposit load
- Rückgang
Der durchschnittliche Slippage anhand der Statistik der Ausführung auf echten Konten verschiedener Broker ist in Punkten angegeben. Er hängt von der Differenz zwischen den Währungskursen des Anbieters von "Bybit-Live" und des Abonnenten sowie von Verzögerungen in der Ausführung von Orders ab. Je kleiner der Wert ist, desto besser ist die Qualität des Kopierens.
|
Bybit-Live
|
1.58 × 19 | |
AI-powered trading strategy by WolfBot. Follow my positions with disciplined position sizing. Every trade includes predefined stop-loss and take-profit to ensure risk control and capital protection. Focused on consistency, not gambling. Let’s grow steadily and build wealth together.
AI Auto Trading – US Stocks & Oil (Quant Strategy)
This signal provides fully automated trading for US stocks and crude oil (WTI/Brent) using a quantitative AI-driven strategy. The system combines technical analysis, machine learning models, and adaptive risk management to identify high-probability trading opportunities in the US market.
Strategy Overview
The trading system continuously analyzes market data and automatically executes trades when specific conditions are met.
Key components include:
• Quantitative Technical Analysis (TA) – trend detection, volatility filters, and momentum indicators
• AI-assisted signal filtering – machine learning models help remove low-quality setups
• Adaptive volatility regime detection – the strategy adjusts behavior based on market conditions
• Automated risk management – dynamic Stop Loss, Take Profit, and position sizing
The goal is to capture short- to medium-term price movements while maintaining controlled risk exposure.
Markets Traded
The system focuses on highly liquid instruments:
• Major US stocks
• Crude Oil (WTI / Brent)
• Occasionally other correlated assets depending on market conditions
High liquidity helps ensure stable execution and minimal slippage.
Risk Management
Risk control is a core component of the strategy.
• Strict Stop Loss / Take Profit management
• Controlled risk per trade
• Adaptive position sizing depending on volatility
• Protection mechanisms during abnormal market conditions
The system is designed to prioritize capital preservation before profit.
Automation
This signal is designed for fully automated trading:
• No manual intervention required
• Trades are executed automatically by the algorithm
• The strategy runs continuously and monitors the market in real time
Subscribers only need to connect their trading account to the signal.
Performance Philosophy
The objective of the system is consistent long-term growth rather than aggressive short-term gains.
The strategy aims for:
• stable equity growth
• controlled drawdown
• disciplined risk management
Market conditions change over time, so the system continuously adapts.