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关于交易、风险与公开验证的简短而诚实的指南。没有承诺,只有数学。

013 分钟阅读

What is swing trading (and why you don't need to watch the screen all day)

If you've tried "trading" before and quit because it felt like a second job, the problem may not have been your discipline. It may have been the wrong time horizon.

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023 分钟阅读

Paper trading: why every serious system starts with fake money

"If your system is so good, why is it still trading with pretend money?"

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033 分钟阅读

How to evaluate a track record (and the 5 ways people fool you with one)

Every strategy seller has a chart that goes up. Your job, before trusting anyone with a cent, is to figure out what was cut out of the chart.

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043 分钟阅读

Risk-on or defensive? What a market 'regime' is and why it changes everything

There are days when "buying the dip" works, and months when it's the recipe for losing everything slowly. The difference has a name: market regime.

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052 分钟阅读

Drawdown: the number that matters more than return

Two systems returned 30% over the past year. The first was never down more than 6%. The second went through a 45% decline before recovering. Same result? Only on paper.

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063 分钟阅读

What a trading AI is (and what it CANNOT do)

"AI that trades" has become the favorite label of half the schemes on the internet. It's worth separating what the technology actually does from what the marketing promises.

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073 分钟阅读

BYOB: why you should never hand your funds to a bot

There is a red line separating legitimate automation services from schemes on a countdown: where your money lives.

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083 分钟阅读

Kill switch, stops and caps: anatomy of automated risk control

The wrong question about automation: "how much can it make?". The right question: "what stops it from ruining me on a bad day?" An automated execution system worthy of the name...

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093 分钟阅读

What is a signal worth? Win rate, profit factor and honest math

"We win 85% of our trades!" is the favorite line of people hoping you can't do math. Let's do the math.

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103 分钟阅读

Why we publish the red days (the economics of trust)

Every day, at market close, we publish the result of Kamla's brain. On green days it's easy. The decision that defines us is publishing on the red ones.

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113 分钟阅读

Alpaca in 10 minutes: create your practice account and connect your keys

Alpaca is a US broker with a rare trait: it was built to be connected to software (API-first) and offers free practice accounts with real market data. That's why Kamla works wit...

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123 分钟阅读

From paper to live: the responsible path (and where we are on it)

The most frequent question we get: "when will Kamla trade real money?" The short answer: when the public record justifies it, and not a day sooner. This article explains the pat...

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