QuantivFlow was built to bridge the gap between institutional trading algorithms and individual investors. While large hedge funds use complex data pipelines to analyze market trends, individual traders often rely on intuition alone.
We aim to change that by providing data-driven, objective technical analysis based on proven indicators like RSI, MACD, and ADX, making professional-grade tools accessible to everyone.
Decode the Market with Algorithmic Precision. At the core of QuantivFlow lie three independent, proprietary signal algos designed to filter market noise and identify high-probability trading opportunities - each looking at a stock from a different angle, and all three shown free on every stock page.
Trend (three horizons) evaluates multiple technical factors simultaneously, utilizing trend analysis to ride strong uptrends: losers are cut fast, winners are given room to run for weeks. A signal is generated only when these factors align, filtering out noise to focus on setups with the strongest historical edge.
Rebound (short and mid term) is a mean-reversion algo: it buys sharp short-term dips in stocks that remain in long-term uptrends and exits within days or weeks by design. Most of its trades win - historically around 69% on short-term signals and 76% on mid-term - with small average gains per trade: the mirror image of Trend.
Patterns (three horizons) is a chart-pattern algo: it scans every stock for 19 classic shapes - cup and handle, head and shoulders, double tops and bottoms, triangles, wedges, flags, pennants, rectangles and channels - draws each one directly on the chart, marks the breakout or breakdown, and projects the measured price target ahead of the last candle. A pattern stays on the chart only while the detector still sees it, so every drawing is a live read.
The three algos can legitimately disagree on the same stock - a Rebound dip-buy during a Trend WAIT, or a pattern breaking out while Trend is still waiting, is normal. Seeing all three views side by side, each with its historical track record on that stock, is the point.
Instead of relying on lagging indicators alone, we process vast amounts of historical and up-to-date market data to identify patterns that have consistently performed well. By applying statistical modeling and quantitative analysis to every chart, we turn raw market chaos into clear, actionable logic.
QuantivFlow was founded by a team of software engineers and algorithmic trading enthusiasts with deep expertise in cloud computing, data engineering, and financial modeling.
What started as a personal tool to automate technical analysis has grown into a platform serving traders worldwide who demand precision, clarity, and data-driven decisions in their trading approach.
We believe that with the right tools and education, individual traders can compete with institutional players and make informed decisions based on objective analysis rather than emotion or intuition.
The content provided on QuantivFlow is for informational and educational purposes only and does not constitute financial advice, investment recommendations, or an offer to buy or sell any securities.
Trading stocks and financial instruments involves significant risk and can result in the loss of capital. Past performance does not guarantee future results. Always conduct your own due diligence or consult with a certified financial advisor before making investment decisions.
Our algorithms are based on historical data and technical patterns. While we strive for accuracy, no system can predict market movements with certainty. Users are responsible for their own trading decisions and outcomes.