🧠Investing strategies
Proven investing approaches — value, growth, dividends and smart-money following. How to pick a strategy that fits you.
Investing strategies — overview
An investing strategy is a rule-based framework that decides which stocks to watch, when to enter a position and when to exit. Without a strategy, investing becomes a reaction to emotion and headlines — with one, you have a repeatable process that can be backtested and compared to the market. QMA builds on several proven approaches: value (finding undervalued companies by fundamentals), growth (fast revenue and earnings growers), dividend growth (stable payers raising distributions) and smart-money following (tracking institutional, insider and 13F flows). Each approach has a different risk profile, horizon and cycle sensitivity. Value tends to be patient and works across cycles, growth carries higher return and higher volatility, dividend portfolios pay regular income, and smart-money following leans on publicly reported data (SEC EDGAR, 13F, Congressional trades). The point is not to find the single "best" strategy, but the one that fits your horizon, risk tolerance and available time. This section describes each strategy, its historical backtests (with trade counts and statistical significance) and how QMA scores it across the 5 pillars. A backtest describes the past — it does not guarantee future results, but it clarifies when a strategy worked and when it lagged.
Investing strategies articles
2026年最佳股票筛选器：如何从数千只股票中挑选出强势股
筛选器是整个市场的筛子。你将学习它的用途，为什么一个聪明的评分能胜过十个过滤器，以及如何通过5个步骤从成千上万只股票中得出一个简短的清单——即使是完全的初学者也能理解。
Multibagger Pro — 学术研究揭示寻找10倍股的方法
三项学术研究（Yartseva 2025、Mayer 2018、Alta Fox 2020）关于寻找10倍股的共识。7因子综合评分 + 拐点识别 + 宏观叠加层。诚实披露局限性。
QMA CANSLIM — 领导股突破与跟进日
Seven letters. Seven conditions. O'Neil's CANSLIM is one of the oldest and most thoroughly documented swing methodologies. This article explains what each letter means and how the platform evaluates each condition.
QMA 情节性枢纽 — 爆发性行情、整理期与第二次突破
A stock makes a +10 % day on huge volume. Then 5–15 boring consolidation days. Then a second breakout. This is where the real swing trade begins.
如何解读回测报告——用简单语言理解 t-Stat、胜率与超越 SPY 的 Alpha
High alpha sounds amazing, a high win rate sounds safe, a t-statistic sounds mathematical. Learn to read all three so that no backtest fools you — including ours.
QMA 强力形态 — 波动收缩突破
Stocks tend to move after a period of boredom. A tight base, a breakout and volume — how to recognise the pattern and why most "breakouts" are just noise.
QMA 放量突破 — 成交量超过20日高点的单日涨幅 +4%
One of the simplest momentum filters: a price breakout confirmed by above-average volume. The article explains how it is evaluated and where its weaknesses lie.
Backtesting Without Self-Deception: How to Rigorously Test a Strategy and Avoid the Most Common Traps
Backtesting looks simple – you run a strategy on historical data and see the results. But most tests suffer from hidden flaws that inflate performance and conceal real risk.
Joel Greenblatt的魔法公式：解析、回测与应用
本文聚焦于对Joel Greenblatt魔法公式的分析，涵盖公式本身、历史回测结果，以及如何借助QMA筛选器加以实践应用。
股票季节性规律：哪些股票本月具有日历优势（以及如何找到它们）
某些股票和板块年复一年地在特定月份表现出相似的走势。本指南用通俗语言解释季节性数据的实际含义、其局限性所在（样本量小、市场机制转变），并介绍如何找到在当前月份具有历史日历优势的标的——仅作为参考背景，绝非独立的交易依据。
Is a Low P/E Really a Bargain or a Trap for Unwary Investors?
A P/E of 8 looks like a bargain and a P/E of 40 like an overpriced stock. However, both can be traps. We will demonstrate with numbers when the most famous stock indicator is useful — and when it's just cleverly disguised nonsense.
QMA Quality Momentum — 专有多因子波段交易策略
Our own setup. Combines quality (Composite, TSS, RS, IAS) with a technical breakout. Fewer trades, higher precision, calmer sleep.
Mohnish Pabrai: $1M to $26M in 20 Years — and How QMA Multibagger Replicates Him
An Indian programmer left tech at 30 and grew his own stake many times over from 1999 — by copying Buffett’s framework. QMA Multibagger replicates the framework, not the portfolio.
Momentum Effect: How It's Calculated and Its Catch
Momentum is not magic, but a statistical anomaly that academics have been describing for over 30 years. We will show you how it is calculated, why it works at all — and where its catch lies.
股票的季节性：哪些股票在特定月份历史上有所增长
什么是股票的季节性，如何解读胜率和平均收益，为什么小样本具有欺骗性——以及如何在QMA中找到本月进入的季节性窗口，涵盖约10,000只股票。
超级季节性窗口：如何解读胜率、收益和年份数量
对于约10,000只股票，QMA预先计算了股票在历史上上涨的日历窗口。我们教您如何解读胜率和收益——并严厉警告小样本的风险。
Twelve Billionaire Strategies on Autopilot — Meet QMA Compass
Pabrai, Lynch, Greenblatt, Buffett — what if their decision frameworks scanned 8,000 stocks every week, for you? That is QMA Compass.
股息成长投资策略：目标与股票筛选标准
本文将重点介绍股息成长投资策略及其关键要素，帮助投资者在10年内实现8-12%的成本收益率目标。
Long-Term Investing vs. Short-Term Trading: Which Style Actually Suits You?
Buy-and-hold, dividends, swing trading, or day trading? Each style demands different amounts of time, nerves, and tax planning. We'll help you find the one that fits your life.
Price is what you pay. Valuation is what you get. And these numbers often differ
Two companies are priced at 500 CZK per share. One is cheap, the other is overpriced — and you'll only know the difference when you stop looking at the price tag and start calculating. A data guide to the difference between price and value.
预期价值与优势：盈利策略的核心
本文聚焦于预期价值在投资策略中的重要性，解释了即使胜率较低的策略，也可能因风险收益不对称而实现盈利。
Analytical Method of Confluence: How Independent Signals Alter the Probabilistic Picture of a Trade
One indicator flashes green and your hand is already reaching for the button. But what if the same trade was confirmed by three independent methods at once? A data-driven look at why the convergence of signals changes the probabilistic picture.
价值投资与成长投资：历史与策略
在本文中，我们将探讨价值投资与成长投资之间的差异、两种风格的历史背景，以及推广这些方法的关键投资者。
定投策略：数学原理与心理优势
本文将深入探讨定投策略（DCA）的数学基础、其在哪些情况下优于一次性投资，以及其心理层面的优势。我们还将结合 SPY ETF 与每月投入 500 美元的场景，呈现一个具体示例。
因素印记：动量、季节性、内部人和国会在一个DNA条纹中
QMA为每只股票计算4个自有因素的百分位数——动量、季节性、内部人、国会。我们解读这个描述性的“印记”，并解释为什么没有其他人拥有它。
QMA与Finviz：诚实比较（以及何时免费筛选器就足够）
Finviz快速且免费。QMA将国会交易、基金和季节性结合为一个评分。公平比较无营销——让你知道何时一个就足够，何时需要另一个。
FCF výnos: číslo, které odhalí, jestli firma vydělává peníze nebo jen účetní zisk
Zisk se dá nakreslit, hotovost se skrýt nedá. Podívejte se, proč volný cash flow výnos odhalí kvalitu firmy lépe než P/E — a jak si ho spočítat za dvě minuty.
Proč dvě akcie se stejným skóre mohou mít opačný osud
Jedno číslo skóre vypadá elegantně, ale klame. Když ho rozpitváš na pilíře, zjistíš, jestli je firma opravdu skvělá — nebo jen dobrá v jedné věci a slabá ve třech.
为什么相同的评分不代表相同的公司：四大支柱解析
一家公司的评分为78/100，看起来相当不错。然而，在你了解这个数字由什么构成之前，你不过是在盲目买入。我们将展示四大支柱如何揭示那些只是表面光鲜的公司。
Frequently asked questions
Which investing strategy is best for a beginner?
There is no single universally best strategy. Beginners often start with broad diversification and dividend companies because they are less volatile and easier to understand. Consistency and understanding why you hold a stock matter more than picking the "best" strategy. QMA provides analytical tools, not investment advice.
What does a strategy backtest mean?
A backtest simulates how a strategy would have behaved on historical data — how many trades it made, its hit rate and return versus the index. It helps understand past behavior. Past performance does not guarantee future results, and with few trades the result may be statistically insignificant.
How does QMA score stocks across strategies?
QMA computes a composite score for each stock from 5 pillars (value, momentum, smart money, sentiment, catalysts) built from 13 data layers. The score is a descriptive analytical input, not an instruction to buy or sell.
QMA provides analytical and educational tools, not investment advice. Past performance does not guarantee future results.