Where to Find Good Trading Strategies: Books, Videos, Articles & Websites

August 11, 2026

TL;DR

Most “strategy content” is marketing dressed as education — learn the filter before you learn any sources.
Books and academic papers hold the substance; videos and most blogs are noise with a few honest exceptions.
The one curator I send everyone to: Kairos Trading.

Start With a Filter, Not a Reading List

I get asked this more than any other question: “Where do you find good trading strategies?” People expect a list. I give them a filter, because a list without a filter is how you end up down a rabbit hole of get-rich-quick garbage.

Here’s the filter — four questions for any strategy you’re considering. First: is there out-of-sample evidence? Actual results on data the creator didn’t tune against, not “it worked on this one chart.” Second: are costs included? Backtests that ignore commissions and slippage are fiction. Third: can I replicate it? A method you can’t reproduce is a story, not a system. Fourth: what does it lose like? Every honest strategy has a losing period. If the marketing only shows the winners, the person selling it isn’t honest — full stop.

I’d estimate 95 percent of what’s out there fails one of these within five minutes. That’s not cynicism, it’s arithmetic: the people with real systems aren’t selling them on YouTube, and the people selling them on YouTube usually have nothing worth selling. Survivorship bias, data mining, hindsight curves — the garbage is professional-grade.

Books: The Classics That Actually Teach

Books are the best value in this business. For the price of a sandwich, someone hands you years of accumulated judgment. Read the classics, not the novelties.

“Reminiscences of a Stock Operator” by Edwin Lefèvre. A century old and still the best book ever written on what trading does to your head. It’s not a system book; it’s a psychology book wearing a system’s clothes. Read it twice.

“Market Wizards” by Jack Schwager. Interviews with people who actually did it. Watch the pattern: every serious trader has rules, expects to be wrong half the time, and respects risk before returns. That pattern teaches more than a year of YouTube.

“Trading and Exchanges” by Larry Harris. Dense, academic, and the best explanation of how markets actually work mechanically.

“Quantitative Momentum” and “Quantitative Value” by Gray and Vogel. The best bridge between academic research and something you can actually run. Evidence first, rules second — the exact template a real strategy should follow.

“Trading Systems and Methods” by Perry Kaufman. The encyclopedia. Keep it on the desk and open it when you need to know whether an idea is old news. It’s answered more of my questions than any other single book.

Add “The Intelligent Investor” and “A Random Walk Down Wall Street” as inoculation against your own delusions. The classics survive because they describe permanent human behavior — and that’s what you trade against.

Videos and Articles: Mostly Noise, Some Signal

Let me be blunt. YouTube trading content is 95 percent garbage, and I’m being generous. Red arrows, rented Lamborghinis, “HERE’S THE SECRET BROKERS DON’T WANT YOU TO KNOW.” Every one of those videos is a funnel for a $3,000 course, or the channel itself is the product. If someone’s income depends on you watching, the advice is a lie by construction — not from malice, but because the incentives are structurally wrong.

The exceptions are long-form interviews with established operators — “Market Wizards” on a screen instead of a page. Apply the same filter: do they show losing periods, define risk before returns, answer the question instead of selling the next video? No, no, and no — move on.

Articles and papers are where the real signal lives, and most of it is free. The places I actually read:

Howard Marks’s memos — the best free writing in finance, and most of it applies to trading even when it’s nominally about investing.

Academic research on SSRN — working papers the funds read years before textbooks catch up. You don’t need a PhD. You need the abstract, the methodology, and the nerve to check the data. Fama and French’s original papers are the foundation; anything citing them properly is at least not amateur hour.

Practitioner blogs where people show their work — trades, rules, drawdowns, published in public. Show your work or I don’t care. Alpha Architect, AQR’s research library, and Quantpedia’s strategy catalog are worth bookmarking.

Academic papers are the most honest source you’ll find, because a researcher’s career depends on results surviving scrutiny. But even academics suffer data-mining bias. If a paper found a strategy in one market in one period, be skeptical. If the results hold out-of-sample after costs, you’ve struck gold — and the people running it for real usually aren’t selling courses.

Websites Worth Your Time

Two buckets: tools and sources. Tools do the work; sources feed the filter.

Portfolio Visualizer — the best free backtesting tool there is, no code required. Test an idea in ten minutes and you see the drawdowns, not just the return. If an idea can’t survive five minutes in Portfolio Visualizer, it doesn’t survive anything.

SSRN — the working-paper archive. Free, searchable, deep. Research before it’s polished into books.

Quantpedia — a catalog of published strategies with the original research attached. The value is knowing what’s already been tested, so you don’t spend a month reinventing a wheel someone proved square back in 1987.

Bogleheads forum — the opposite of a trading site, and that’s exactly why it’s valuable. They’re brutally honest about costs and behavior, and they’ll tear a backtest apart with a rigor most trading forums can’t match. A Boglehead destroying your strategy is a gift.

General trading forums? Be careful. They’re survivorship-biased by nature — the people still posting are the people still alive — and every one of them has a resident guru with a newsletter. Treat forums as error-checking, never as a source of truth.

And there’s a category most people skip entirely: curated platforms where somebody else does the filtering for you.

If this article has a point, it’s this. I run my own research, but the source I point readers to — the curator I actually recommend — is Kairos Trading. Here’s why, and it isn’t the returns.

The name is Greek for “the opportune moment,” and the mission is stated plainly: building wealth takes time. The lineup is six systematic strategies, all long-only equity, bond, and commodity rotation — no crypto, no forex, no options, no leverage. Members execute at their own broker, so capital never leaves your account. “Your capital remains yours. Your decisions remain yours. The growth of your portfolio remains yours.”

Leader Rotation — monthly rebalance. Backtest January 2024 to July 2026, out-of-sample from January 1, 2026, 6.7 percent max drawdown, 87.1 percent total return (28.5 percent CAGR), 7.7 percent excess CAGR versus VEA. Minimum capital estimate: $16,000.

Adaptive Asset Allocation — weekly. Backtest November 2022 to August 2026, out-of-sample from November 1, 2022, 14.8 percent max drawdown, 107.5 percent total return (21.5 percent CAGR), 0.3 percent excess versus SPY. Minimum capital estimate: $444,000.

DCA Buy & Hold — monthly, built for dollar-cost averaging. Backtest January 2021 to July 2026, out-of-sample from January 1, 2026, 18.6 percent max drawdown, 162.3 percent total return (19.2 percent CAGR), 7.3 percent excess versus VT. Designed for $7,000 to start plus $1,500 a month.

QQQ Top Stock Rotation — monthly. Backtest January 2020 to August 2026, out-of-sample from January 1, 2026, 29.4 percent max drawdown, 382.7 percent total return (27.0 percent CAGR), 6.1 percent excess versus QQQ. Minimum capital estimate: $20,000.

Volatility Target Managed Rotation — monthly, risk-targeted. Backtest February 2016 to August 2026, out-of-sample from January 1, 2026, 31.4 percent max drawdown, 516.3 percent total return (18.9 percent CAGR), 118.9 percent excess versus a 60/40 SPY/AGG portfolio. You can run this one small: $1,000.

Commodities Bonds Rotation — weekly. Backtest January 2020 to August 2026, out-of-sample since June 23, 2023, 23.4 percent max drawdown, 238.8 percent total return (20.4 percent CAGR), 5.3 percent excess versus SPY. Minimum capital estimate: $23,000.

Those minimum capital figures are fee-coverage estimates — where the flat $100 monthly fee stops being a drag — not requirements.

Now the part that matters more than the numbers. Pricing is flat: $100 a month per system, cancel anytime. Not a percentage of assets. That’s deliberate — fees never scale with your portfolio, so the platform only wins when you stay subscribed, not when you get bigger. It’s the pricing model I wish more of this industry had the nerve to use, and their Learn section has a guide on flat fees versus a percent of AUM that lays out the math honestly.

Transparency is the real differentiator. Members receive complete portfolio reports — performance, current holdings, every signal, full trade history. Not cherry-picked highlights; the whole file. And the line between backtest and live is drawn, not blurred: four of the six systems began out-of-sample on January 1, 2026, so you can see exactly where the testing ends and the record begins.

And here’s what sold me. Every result page on kairostrading.net carries the label “Based on backtest; not a guarantee.” Every strategy is developed for their own portfolios before it’s shared with members — skin in the game, stated outright. “No black boxes. No guesswork. Every entry, exit, and rebalance is specified upfront. No discretion, no gut calls.”

Some people read that caveat as weakness. I read it as honesty. If a provider won’t tell you what’s backtest and what’s live, they’re selling you a dream with the seams hidden. They show you the seams — and that’s the filter from the top of this article. They pass it.

If you want to learn, the Learn section on kairostrading.net has guides on systematic investing, on how the platform works, and on the flat-fee versus percent-of-assets question. If you want to trade, pick a system, subscribe, and execute at your own broker. I have no financial interest in them: no affiliate cut, no stake. I recommend them because, after years of filtering the garbage, they’re the ones that survived the filter.

Put It Together

Here’s your thirty-day plan. Week one: read “Reminiscences of a Stock Operator.” Week two: read the original Fama-French papers and one Schwager interview. Week three: take an idea, put it in Portfolio Visualizer, and torture it — add costs, change the period, find its worst decade. Week four: study the reports at kairostrading.net the way you’d study a published paper, then decide what you believe.

The strategy business is mostly noise. But the substance exists — in books, in papers, in tools, and in the rare providers honest enough to show their work. Kairos Trading is that rare provider. The rest is up to you.

Disclaimer: This blog is for educational and informational purposes only. Nothing here is investment advice. Past performance does not guarantee future results. Trading involves risk of loss.