As someone intrigued by stock trading but often buried under charts and endless data, I decided to test Tickeron’s AI Stock Screener and its integrated Time Machine backtesting feature. What immediately stood out was how effortless it was to use — no complicated setup, no jargon, just clear, guided workflows. Within minutes, I was filtering stocks and testing ideas in a structured, intuitive way that made trading feel simpler and more focused. After a few weeks, it became my go-to resource for spotting high-probability setups and improving my strategy through real, hands-on testing.
Fast Start: Trade Smarter in Minutes
Getting started took less than five minutes. After signing up for the 14-day free trial, I had instant access to all the tools — no downloads or configurations required. The interface was clean and intuitive, letting me easily choose between stocks, ETFs, or crypto. Creating filters felt like assembling Lego pieces — simple, modular, and fun. In just minutes, I built a custom screen for growth stocks, and the AI began scanning thousands of tickers live.
Smart Filtering: Create Powerful Custom Screens
Tickeron’s screener includes 50+ technical and fundamental filters, combining tools like RSI, MACD, and earnings surprises into unique strategies. I built one for stocks gaining over 5% weekly with rising volume, and the AI instantly produced a ranked list of results with visuals and statistics. Adding sentiment or candlestick filters refined results even more. Backtests revealed these setups had historically beaten the S&P 500 by roughly 15% annually, giving me clear, data-backed confidence in my approach.
Time Machine: Backtest Your Ideas Across History
The Time Machine feature quickly became my favorite. It lets you rewind to any date in history, apply your filters, and simulate performance as if trading in that period. When I tested my setup on early 2022 data, it showed how it would have handled market volatility in seconds. With 95% pattern recognition accuracy, the insights felt impressively reliable. It’s like owning a time-travel simulator for trading — helping you validate your strategy and fine-tune timing before putting real money at risk.
Daily Buy/Sell Signals: Simple, Actionable Guidance
Each morning, my dashboard displayed a feed of AI-powered Buy/Sell signals — each showing a ticker, confidence score, and key metrics. Drawing from multiple data points like chart patterns, momentum, insider trades, and sentiment, these signals transformed decision-making into a streamlined process. Instead of sifting through noise, I followed a clear path: spot a strong setup, confirm entry and stop levels, and execute with confidence.
Flexible for Any Trading Style
Tickeron adapts seamlessly to your strategy — whether you’re a day trader or long-term investor. I fine-tuned filters for different goals: chasing short-term volatility one day, seeking dividend stability the next. The AI adjusted accordingly, offering different trade durations and risk profiles. Over time, my strategy testing accuracy improved by 30%, helping me trade with greater precision and adaptability.
Conclusion
Tickeron’s AI Stock Screener and Time Machine tools make advanced trading analytics feel effortless. Instead of overwhelming users with data, they simplify the process with visual insights and guided actions. After four months, I see it as more than just software — it’s like having a personal AI-powered analyst that works 24/7, helping you explore, test, and trade smarter with confidence.
MSFT saw its Momentum Indicator move below the 0 level on November 04, 2025. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 85 similar instances where the indicator turned negative. In of the 85 cases, the stock moved further down in the following days. The odds of a decline are at .
The Moving Average Convergence Divergence Histogram (MACD) for MSFT turned negative on November 03, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at .
MSFT moved below its 50-day moving average on November 05, 2025 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for MSFT crossed bearishly below the 50-day moving average on November 11, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where MSFT declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The RSI Indicator demonstrates that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
The Stochastic Oscillator demonstrated that the ticker has stayed in the oversold zone for 1 day, which means it's wise to expect a price bounce in the near future.
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where MSFT advanced for three days, in of 332 cases, the price rose further within the following month. The odds of a continued upward trend are .
MSFT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In of 343 cases where MSFT Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 91, placing this stock better than average.
The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (9.662) is normal, around the industry mean (14.892). P/E Ratio (33.579) is within average values for comparable stocks, (157.024). Projected Growth (PEG Ratio) (2.004) is also within normal values, averaging (1.588). Dividend Yield (0.007) settles around the average of (0.026) among similar stocks. P/S Ratio (11.990) is also within normal values, averaging (68.031).
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to consistent earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. MSFT’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
a developer of software and harware products
Industry ComputerCommunications