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StatOasis · by Ali Casey

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Research, build, test, combine, deploy: the loop that turns trader confidence into conviction.

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Illustrative: a clean backtest is a hypothesis, not proof.
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The loop most traders skip three steps of.

Five stages, running as a loop - every live strategy feeds the next round of research. The red shortcut is the one most traders take instead.

Most traders follow this path and call it done.
1

Research

Start from a behavioral hypothesis, not a prediction.

2

Build

Turn the hypothesis into rules, not a curve fit.

3

Robustness test

Out-of-sample, walk-forward, across regimes the optimizer never saw.

4

Portfolio construction

Combine strategies that fail at different times.

5

Live deployment

Size it, monitor it, plan the drawdown before it comes.

Most traders follow this path and call it done.

  1. 1

    Research

    Start from a behavioral hypothesis, not a prediction.

  2. 2

    Build

    Turn the hypothesis into rules, not a curve fit.

    ↷ Most traders follow this path and call it done.

  3. 3

    Robustness test

    Out-of-sample, walk-forward, across regimes the optimizer never saw.

  4. 4

    Portfolio construction

    Combine strategies that fail at different times.

  5. 5

    Live deployment

    Size it, monitor it, plan the drawdown before it comes.

back to research

Can you survive a decade of real markets?

A decade of markets. Five decisions. About eight minutes. See how your instincts hold up against the regimes that broke real strategies, then see the trading personality your choices reveal.

Start: Survive the Decade

I'm Ali Casey.

I build systematic trading strategies and teach the workflow behind them. Not a content creator. A system builder who happens to teach.

More about me →
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Algo trader since 2014

Here is how I can help you.

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Overfit - the newsletter

Skip the hype. Trust the data. One practical, evidence-driven takeaway per issue: strategy testing, portfolio construction, market structure, and the mechanics behind systematic trading - every claim with the backtest behind it. Publishing since 2024, formerly The AlgoTrader.

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Algo Trading Masterclass

The complete build-a-system workflow, taught end to end: finding an edge, testing it honestly, assembling strategies into a portfolio, and putting it live - the same process behind every study I publish. Currently open as a waitlist.

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Community

Where builders share strategies, code, and feedback. Get plugins, correlation book, indicators and more. Free to join today.

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Digital Products

Everything you can download and use the same day: books, strategy packs, and tools - starting with 36 Ways to Buy the Dip, backtested mean-reversion entries for systematic dip-buying, every variant tested, every result shown. Listed on the products page with everything else StatOasis makes.

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AlgoChef

The validation layer I built for the step most traders skip: pressure-testing a strategy before it risks real money. Launched 2026.

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Latest from StatOasis YouTube channel

Two Trading Indicators, One Identical Trade

Two Trading Indicators, One Identical Trade

Nov 2, 2026

Donchian Channel Strategy: 283 of 300 Made Money. Why?

Donchian Channel Strategy: 283 of 300 Made Money. Why?

Oct 26, 2026

I Fixed the Rainbow Moving Average. It Got Noisier

I Fixed the Rainbow Moving Average. It Got Noisier

Oct 5, 2026

Latest from StatOasis X channel

StatOasis card. The validation half is the paid half. A single figure 2 fills the card as the standout, over the line 2 tools are missing from Starter, walk-forward optimisation and the advanced robustness tests, the ones whose whole job is telling you whether a generated strategy is real. A footnote adds that upgrading Starter to Professional is 350 dollars. Prices verified 2026-08-19.

I have run StrategyQuant X since 2019, I earn a commission if you buy it, and my course is built around it. Saying that first, because the next tweet costs me money. The $200 line that decides this purchase: 🧵

Nov 6, 2026 · 65 impressions · 2 reactions

I tested 40 buy-the-dip entries on 33.5 years of SPY. 17,385 trades. 35 of 37 beat drift. Then I cut the history into three periods. Only 16 held up. 🧵

Nov 5, 2026 · 81 impressions · 3 reactions

Tomorrow is your last day at $79. 36 Ways to Buy the Dip goes to $147 at midnight New York time on Thursday. 40 entries tested on SPY and ES futures. 3 example strategies. Full EasyLanguage and Python code. Read a full entry free first: https://statoasis.com/books/36-ways-to-buy-the-dip

Nov 4, 2026 · 65 impressions

Latest from LinkedIn

StatOasis card. Ratio spacing adds noise. 138 of 165 matched comparisons where ratio spacing had more false flips, alignments that die inside 5 bars. Classic 10 to 50 stack: 2.37 false flips a year evenly spaced, 3.03 ratio-spaced.

I fixed the rainbow moving average. It got noisier. The classic rainbow is five moving averages spaced 10, 20, 30, 40, 50. On a ratio scale that looks wrong: 10 to 20 doubles the length, 40 to 50 adds a quarter. The top two lines sit just 0.42 ATR apart and their daily changes correlate at 0.90. They move as one. So I respaced it by a constant ratio: 10, 15, 22, 33, 50. Even steps all the way up. I expected fewer false signals. The data said the opposite. A false flip here is a full alignment, all five lines in order, that dies inside 5 bars. The respaced stack had 3.03 a year against 2.37 for the classic one, more in 10 of 11 markets. Across 15 matched pairs and 11 futures, ratio spacing had more false flips in 138 of 165 comparisons. Look at where the room came from. The crowded top pair only ended 5.7% of alignments. The bottom pair, 10 vs 20, ended 74.5%. Ratio spacing opened the top and squeezed that bottom gap from 0.66 to 0.38 ATR, right where the stack breaks. Fixing the part that looks wrong can crowd the part that does the work. If you respace an indicator to make it look right, check which part breaks first. Full study: https://statoasis.com/overfit/research/rainbow-moving-average

Nov 6, 2026
Card headed RSI(2) is decaying, not dead. RSI(2) below 10, edge over drift in three equal periods: plus 0.549 percent from 1993-02 to 2004-04 on 158 trades, plus 0.198 percent from 2004-04 to 2015-06 on 145 trades, and plus 0.096 percent from 2015-06 to 2026-08 on 137 trades, the last in orange. Subtext: it never stopped firing, each signal just paid less, and over the whole window it still shows 440 trades, a 1.61 profit factor and a Strong verdict.

RSI(2) below 10 still beats drift in every period I measured. That is exactly what makes it dangerous. It is the most famous buy-the-dip rule there is. Over 33.5 years of SPY it still looks fine: 440 trades, a profit factor of 1.61, a Strong verdict. That whole-window number is hiding something. Cut the same history into three periods with the same number of bars. Measure the entry in each one against that period's own drift, which is what buying at any day's open and selling four days later paid. 1993-02 to 2004-04: +0.549% a trade over drift, on 158 trades. 2004-04 to 2015-06: +0.198%, on 145 trades. 2015-06 to 2026-08: +0.096%, on 137 trades. Read the trade counts first. The rule never stopped firing. What changed is what each signal is worth: less than a fifth of what it paid in the first period. That is decay, not death. And nothing in the whole-window numbers shows it. RSI(2) is not alone. Of the 40 dip entries I tested, 11 kept less than half their early edge, 10 changed sign in at least one period and 3 fired too rarely to judge. 16 held up. Not everything is fading, either. PPO went +0.008%, +0.172%, +0.398%. Drop it on data ending in 2004, when it was barely above drift, and you would have missed the two periods where it paid most. So cut your own history into three and measure again before you trust the average. One honest limit: these are frictionless backtests on SPY, so +0.096% is before costs. The stability verdict for all 40 entries: https://statoasis.com/overfit/research/mean-reversion-buy-the-dip-ranked

Nov 5, 2026

Five dip entries can be one trade. Two different formulas can fire on the exact same days. Different names, different math, same trades. You think you have diversified. You haven't. So for the second edition of 36 Ways to Buy the Dip, I checked all 780 pairs of entries for firing on the same days. Some entries are the same trade in different clothes. The book shows you which ones add nothing. That check sits beside two others. First, every entry had to beat a random entry held just as long. Second, every entry had to hold up in three equal periods of SPY history. Only 16 of the 40 did. You can read the full RSI(2) entry free on the page, so you see the format before you buy. The $79 launch price ends tomorrow, Thursday 5 November, at midnight New York time. After that it is $147. https://statoasis.com/books/36-ways-to-buy-the-dip

Nov 4, 2026

What you won't find here.

No trade calls. No daily predictions. No PnL screenshots. This is for traders who want to understand how to build trading systems, how they behave in different market regimes, when they break, and why. If that's not you, there are plenty of other places, and no hard feelings.

What traders say.

rodolfo berrocal's photo

rodolfo berrocal

Hello, my name is Rodolfo Berrocal, I'm from Lima, Peru. I just stopped by to thank you for all the great work you do. I'm doing my best to understand your videos since I don't speak English very well, but I'm still learning a lot from you. I'm just getting started in the world of algorithmic trading, and it's going well for me. Thank you again, and blessings.

Tommy's photo

Tommy

Dear Ali, your attention to detail - and people - was always bar none. No question, you are our Financial Guru, while also a loving/caring figure so you deserve our utmost respect! Thank you for all your shared experience and everyday hard work for our not-only-financial wellfare! :)

Chad's photo

Chad

I’ve been in the program since Feb, have found a way to create and find a lot of pretty good algos, but magic sauce happens when we combine the uncorrelated “pretty goods”. Happy to report since Feb, up 28pct and am now in maintenance mode working on the process instead of reflexively reacting to every draw down that I think is the end of the world. Biggest learnings. Test for worst case portfolio drawdown, size accordingly. Trade top strategies within that portfolio, cycle out worst performers every few months. Seems to be a winning recipe and am so excited to think about the next chapter in this journey I’ve been on for many many moons 😃

Read more →

StatOasis is calm, evidence-based algorithmic-trading education, founded by Ali Casey. Ali builds systematic trading strategies and teaches the workflow behind them: research, build, test, combine, deploy. He writes the Overfit newsletter, published since 2024, and runs the Algo Trading Masterclass.

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