Backtest Before You Bet Real Capital

[Fairman]

Before committing real money to any new scalping idea, put in the work to backtest it across a genuinely meaningful sample — at least 100 historical setups, and ideally more, across a range of different market conditions rather than just one particularly favorable stretch.

A strategy that "feels right" after five live trades has told you essentially nothing statistically meaningful. Five trades is well within the range where pure random variance can produce a misleadingly strong (or misleadingly weak) result, regardless of whether the underlying strategy has any genuine edge at all.

Proper backtesting means going back through historical charts, applying your specific, written entry and exit criteria mechanically and honestly — not cherry-picking the setups that would have worked while conveniently skipping the ones that wouldn't have — and tracking the results with the same rigor you'd apply to live trades: win rate, average reward-to-risk, maximum consecutive losses, and overall expectancy.

This process takes real time and effort, which is exactly why so many traders skip it and jump straight to live trading with real capital instead. But the traders who consistently survive and improve over the long run are, almost without exception, the ones who did this unglamorous groundwork first, rather than discovering a strategy's flaws the expensive way, one live losing trade at a time.

[PTScalper]

Before committing real money to any new scalping idea, put in the work to backtest it across a genuinely meaningful sample — at least 100 historical setups, and ideally more, across a range of different market conditions rather than just one particularly favorable stretch.

A strategy that "feels right" after five live trades has told you essentially nothing statistically meaningful. Five trades is well within the range where pure random variance can produce a misleadingly strong (or misleadingly weak) result, regardless of whether the underlying strategy has any genuine edge at all.

Proper backtesting means going back through historical charts, applying your specific, written entry and exit criteria mechanically and honestly — not cherry-picking the setups that would have worked while conveniently skipping the ones that wouldn't have — and tracking the results with the same rigor you'd apply to live trades: win rate, average reward-to-risk, maximum consecutive losses, and overall expectancy.

This process takes real time and effort, which is exactly why so many traders skip it and jump straight to live trading with real capital instead. But the traders who consistently survive and improve over the long run are, almost without exception, the ones who did this unglamorous groundwork first, rather than discovering a strategy's flaws the expensive way, one live losing trade at a time.

Hi Fairman,
interesting idea.
But i found for myself, that any trading strategy based only on technical analysis will not work.
I made program, which made combination of combinations of most common and well known indicators and that program did not find any combination, which would work in longer range than 6 months on 10 years tick by tick spot data.
I strongly believe, that you have to understand what is going on that market and after that use technical analysis as helper to find proper edge for your trades.

[Fairman]

Before committing real money to any new scalping idea, put in the work to backtest it across a genuinely meaningful sample — at least 100 historical setups, and ideally more, across a range of different market conditions rather than just one particularly favorable stretch.

A strategy that "feels right" after five live trades has told you essentially nothing statistically meaningful. Five trades is well within the range where pure random variance can produce a misleadingly strong (or misleadingly weak) result, regardless of whether the underlying strategy has any genuine edge at all.

Proper backtesting means going back through historical charts, applying your specific, written entry and exit criteria mechanically and honestly — not cherry-picking the setups that would have worked while conveniently skipping the ones that wouldn't have — and tracking the results with the same rigor you'd apply to live trades: win rate, average reward-to-risk, maximum consecutive losses, and overall expectancy.

This process takes real time and effort, which is exactly why so many traders skip it and jump straight to live trading with real capital instead. But the traders who consistently survive and improve over the long run are, almost without exception, the ones who did this unglamorous groundwork first, rather than discovering a strategy's flaws the expensive way, one live losing trade at a time.

Hi Fairman,
interesting idea.
But i found for myself, that any trading strategy based only on technical analysis will not work.
I made program, which made combination of combinations of most common and well known indicators and that program did not find any combination, which would work in longer range than 6 months on 10 years tick by tick spot data.
I strongly believe, that you have to understand what is going on that market and after that use technical analysis as helper to find proper edge for your trades.

This is real good, now I know that a single strategy without the help of confluence is not sustainable

[PTScalper]

Before committing real money to any new scalping idea, put in the work to backtest it across a genuinely meaningful sample — at least 100 historical setups, and ideally more, across a range of different market conditions rather than just one particularly favorable stretch.

A strategy that "feels right" after five live trades has told you essentially nothing statistically meaningful. Five trades is well within the range where pure random variance can produce a misleadingly strong (or misleadingly weak) result, regardless of whether the underlying strategy has any genuine edge at all.

Proper backtesting means going back through historical charts, applying your specific, written entry and exit criteria mechanically and honestly — not cherry-picking the setups that would have worked while conveniently skipping the ones that wouldn't have — and tracking the results with the same rigor you'd apply to live trades: win rate, average reward-to-risk, maximum consecutive losses, and overall expectancy.

This process takes real time and effort, which is exactly why so many traders skip it and jump straight to live trading with real capital instead. But the traders who consistently survive and improve over the long run are, almost without exception, the ones who did this unglamorous groundwork first, rather than discovering a strategy's flaws the expensive way, one live losing trade at a time.

Hi Fairman,
interesting idea.
But i found for myself, that any trading strategy based only on technical analysis will not work.
I made program, which made combination of combinations of most common and well known indicators and that program did not find any combination, which would work in longer range than 6 months on 10 years tick by tick spot data.
I strongly believe, that you have to understand what is going on that market and after that use technical analysis as helper to find proper edge for your trades.

This is real good, now I know that a single strategy without the help of confluence is not sustainable

Yeah, you can test it for yourself as well
Thanks to AI its easier to program it that ten years ago.

[Fairman]

Hi Fairman,
interesting idea.
But i found for myself, that any trading strategy based only on technical analysis will not work.
I made program, which made combination of combinations of most common and well known indicators and that program did not find any combination, which would work in longer range than 6 months on 10 years tick by tick spot data.
I strongly believe, that you have to understand what is going on that market and after that use technical analysis as helper to find proper edge for your trades.

This is real good, now I know that a single strategy without the help of confluence is not sustainable

Yeah, you can test it for yourself as well
Thanks to AI its easier to program it that ten years ago.

That’s true, it would take months of programming and debugging to get it done back then

[PTScalper]

This is real good, now I know that a single strategy without the help of confluence is not sustainable

Yeah, you can test it for yourself as well
Thanks to AI its easier to program it that ten years ago.

That’s true, it would take months of programming and debugging to get it done back then

Yeah Exactly

[Fairman]

Yeah, you can test it for yourself as well
Thanks to AI its easier to program it that ten years ago.

That’s true, it would take months of programming and debugging to get it done back then

Yeah Exactly

It’s great

[PTScalper]

That’s true, it would take months of programming and debugging to get it done back then

Yeah Exactly

It’s great

Exactly, what AI do you prefer?

[Fairman]

Yeah Exactly

It’s great

Exactly, what AI do you prefer?

Mostly I use Claude, its just better, the only thing I use ChatGPT for voice

[PTScalper]

It’s great

Exactly, what AI do you prefer?

Mostly I use Claude, its just better, the only thing I use ChatGPT for voice

And what about Gemini? Or Grok? Or Grok Robot?