Current licensing covers U.S. equities and major crypto pairs. International markets may be added in future phases. Continue reading...
Most users manually place trades, but some integrations allow rule-based automation depending on broker compatibility. Continue reading...
Send us your email and we will process the closure for you. E-mail: [email protected]. Continue reading...
It's important that you cancel all your subscriptions. Continue reading...
There is no refund as soon as the payment is processed, but you can schedule a cancellation to avoid the next charge. Continue reading...
Step 1: Click on your name in the upper right-hand corner. Step 2: Click on “Subscriptions”. Continue reading...
Tickeron uses MorningStar, Inc., for the data presented on our website. Continue reading...
Yes—the leaderboard updates in real time, showing robots gaining the most accuracy, P/L, and consistency in current market conditions. Continue reading...
Price action is the main input, but some robots incorporate volume spikes or volatility changes, which often reflect news indirectly. Continue reading...
Robots limit overtrading by taking one trade per setup per timeframe, even if price fluctuates within the hour. Continue reading...
15-minute robots generate 2–5 times more trades due to more candle formations. A 60-minute robot trades fewer times but often produces smoother signals. Continue reading...
Robots follow consistent rules, but volatility filters help determine when to enter or skip trades. For example, if price suddenly spikes beyond normal ranges, the robot may skip the trade even if conditions partially match its model. Continue reading...
Yes—webinars, tutorials, documentation, and optional one-on-one onboarding sessions are available to help traders understand the tools. Continue reading...
The Screener reveals tickers that match robot logic—such as tickers showing fresh breakouts or oversold conditions—helping diversify your trading universe. Continue reading...
Yes—you can follow specific symbols and enable alerts that notify you when robot signals match your watchlist filters. Continue reading...
Yes—guidelines include choosing stable robots, limiting exposure per trade, and diversifying across tickers and strategies. Continue reading...
Yes—many traders use Screener signals to confirm the direction before taking a robot trade, improving confidence and filtering noise. Continue reading...
Robots display equity curves, win/loss streaks, drawdowns, volatility, and trade-by-trade metrics. For example, if the equity curve rises steadily with shallow drawdowns, the robot is likely stable. Continue reading...
Long-term results show the robot’s true statistical edge, while short-term results reflect temporary market conditions. A robot may have a strong long-term equity curve but experience a brief drawdown during unusual volatility. Continue reading...
Yes—TSLA’s volatility creates more frequent signals and larger move potential, while SPY offers steadier, slower setups that appeal to conservative traders. Continue reading...
If a robot underperforms its long-term profile for several weeks or no longer fits your risk tolerance, consider switching to a better-performing model on the leaderboard. Continue reading...
Robots take one trade per ticker per timeframe, but you can follow multiple robots simultaneously. For example, a 5-minute and a 60-minute SPY robot may both generate separate trades. Continue reading...
Corridor exit robots use predefined TP/SL values (e.g., +2% / –2%), while others exit only when the AI detects trend reversal. Each robot’s strategy details specify its exit method. Continue reading...
Most traders follow 3–10 robots across different tickers and strategies to diversify and smooth performance. For example, one might combine a TSLA intraday bot, a SPY swing bot, and a BTC breakout bot. Continue reading...
Robots reduce trading when volatility becomes random or unpredictable. For example, if SPY trades flat for hours, many strategies pause until clearer direction appears. Continue reading...
Yes—if you only trade the NY session, choose robots on 15-minute or 60-minute timeframes that align with those hours. Continue reading...
Most robots confirm signals at candle close to avoid noise. For example, a 15-minute robot waits for the candle to finish before deciding on a trade. Continue reading...
Browser translation works well today, and native multilingual support is expanding to cover Spanish, Portuguese, Chinese, and more. Continue reading...
No—each robot is trained specifically for its timeframe. A 15-minute robot cannot simply be converted to a 5-minute robot without retraining the model. Continue reading...
Yes—whitelist Tickeron and mark alerts as “Not Spam” to ensure timely delivery, especially for fast intraday robots. Continue reading...
You must be subscribed to the specific robot generating the signal. If another user follows a 5-minute TSLA robot and you follow the 60-minute one, your alerts will differ. Continue reading...
Tickeron robots come with built-in backtests based on historical trade logs. For example, you can examine how a 60-minute SPY robot performed during the 2020 crash versus 2023’s slow grind upward. Continue reading...
You can adjust notifications under your account settings. For example, you can disable email alerts for slow robots and enable real-time SMS for fast ones. Continue reading...
No. Signals arrive via email, mobile push notifications, or SMS depending on your plan. Many traders receive signals on their phone while away from the computer. Continue reading...
Yes—each robot is uniquely trained. One robot may specialize in volatility breakouts on QQQ, while another focuses on mean-reversion on SPY. Even robots for the same ticker can behave differently due to varied ML architectures. Continue reading...
Each robot includes full historical logs with every trade entry, exit, date, duration, and profit. By reviewing the robot’s equity curve, you can see how it performed during trends, crashes, or sideways periods. Continue reading...
Robots still send signals, but sudden news may produce atypical movements. For example, a robot might detect a breakout pattern before earnings, but traders may prefer to disable robots temporarily if they want to avoid event risk. Continue reading...
Yes—many traders use robots to meet prop firm evaluation targets. For example, users may follow low-drawdown SPY robots to help maintain strict FTMO daily loss limits. Continue reading...
The core logic is similar, but each asset class behaves differently. For example, forex pairs such as EUR/USD tend to trend cleanly, creating longer trades, while crypto pairs like BTC/USD generate more frequent signals due to volatility. Continue reading...
If a robot detects that current market volatility falls outside its profitable range, it pauses. For example, if BTC becomes unusually quiet overnight, a short-term crypto robot may avoid signals to prevent low-quality trades. Continue reading...
They follow a fixed decision framework but the machine-learning models are periodically retrained based on new market data. For example, as volatility rises—like during FOMC weeks—the robot’s probability thresholds adjust to reduce false signals. Continue reading...
Yes—you can sort robots by win rate, number of trades, volatility, timeframe, trend vs. mean-reversion, and more. For example, a conservative trader might filter for high win-rate, low-volatility robots trading SPY, while an aggressive trader might choose high-volatility crypto robots. Continue reading...
First-Generation Robots scan the whole market and pick the best trade idea among thousands of tickers. Ticker-Centric Robots focus exclusively on one ticker and optimize machine-learning patterns specific to that symbol. For example, a TSLA-centric bot learns TSLA’s unique volatility and intraday rhythm, while a Gen-1 bot looks broadly at everything and picks the day’s strongest opportunities. Continue reading...
Yes—ticker-centric robots are built exactly for this use case. If you only trade SPY, you can follow several SPY robots across different strategies—trend-following, mean-reversion, corridor exits, etc.—to diversify even within one ticker. Continue reading...
Some robots are designed for mean-reversion. For example, if AAPL rallies for five straight sessions, a contrarian robot may enter a short expecting a pullback based on historical tendencies. Trend-following robots will do the opposite and buy breakouts; each strategy has its logic. Continue reading...
No—this is normal. Robots only act when their setup appears. For example, a momentum robot may wait days until RSI dips and price breaks out, while a mean-reversion robot may pause until a sharp pullback occurs. No signals simply means no high-probability conditions. Continue reading...
This depends on the timeframe and the ticker’s volatility. A 15-minute QQQ robot might take 2–4 trades per day, while a daily SPY robot might take only 1–2 trades per week. Crypto bots often trade more because their markets run 24/7. Continue reading...
Yes—each robot has a public track record showing accuracy, win rate, profit factor, drawdowns, and P/L charts. Leaderboards rank robots such as “Top Performing 15-Min Stock Robots” or “Top Mean-Reversion Crypto Bots,” making it easy to compare. For example, a robot with 68% accuracy and a 1.6 profit factor typically outperforms one with 55% accuracy and a 1.1 profit factor. Continue reading...
Choose the timeframe that matches your lifestyle and risk appetite. A 5-minute robot might produce 5–10 trades per day on volatile tickers like TSLA, while a daily-chart robot may produce only 3–6 trades per month but with larger average profit targets. Traders who can only check charts morning and evening often prefer 60-min or daily robots. Continue reading...
The platform accommodates both. Intraday robots (5–15 min) are ideal for traders who want multiple opportunities per session, like scalpers or day traders. Swing-trading robots (60 min or daily) are designed for those who prefer fewer trades with longer holding periods—e.g., holding SPY long for 2–5 days based on AI trend reversal signals. Continue reading...
Tickeron supports all major markets—stocks, ETFs, crypto, and Forex—using the same AI framework but adjusted for each asset’s unique behavior. For example, SPY and QQQ robots generate highly reliable signals due to strong liquidity, while BTC/USD or ETH/USD robots trade more frequently because crypto markets move faster. Forex pairs like EUR/USD and GBP/JPY often produce clean technical movements, making them good candidates for trend-following models. Continue reading...
Tickeron offers customizable notifications to enhance your trading experience. Follow these steps: Step 1: Go to the AI Robots page by clicking on "AI Trading" in the top menu and selecting "AI Robots" from the dropdown. Step 2: On the AI Robots page, click on "VIEW DETAILS" for the robot you're interested in. This takes you to the detailed robot information page with notification settings. Step 3: On the Robot detail page, enable notifications by turning on the toggle switch labeled "Enable notifications. Step 4: Scroll down to "Push Notifications" on the website and add your device for push notifications. Step 5: Enable push and email notifications for AI Robots by checking the respective checkboxes in the "Notification Option" section. Step 6: Check "My Notifications" on the second-level menu for additional settings. Continue reading...
Step 1: Click the “hamburger” in the upper right-hand corner. Step 2: Click the down arrow near your name, then click on “Personal Profile”. Continue reading...
Curious about accessing international stocks? Discover the scope of our services focused exclusively on the US stock exchange market and learn about the current limitations on global exchanges. Get the insights you need for navigating the US financial markets! Continue reading...