Is TradingHabits' risk of ruin calculator the same as ChartWiseHub's?

No. TradingHabits uses the classic closed-form gambler's-ruin formula, returning a single risk-of-ruin percentage from your win rate and risk per trade, assuming a 1:1 risk-to-reward ratio. ChartWiseHub runs a Monte Carlo simulation from a fuller strategy profile, including uneven average win and loss size, and returns a range of outcomes rather than one number.

Does TradingHabits run a Monte Carlo simulation like ChartWiseHub does?

No. TradingHabits' risk of ruin calculator uses a single deterministic formula and returns an instant result. It does not simulate randomized trade sequences or report a distribution of outcomes.

TradingHabits vs. ChartWiseHub

TradingHabits and ChartWiseHub both publish a free risk of ruin calculator, and both point traders toward the same cluster of follow-up tools: an expectancy calculator, a drawdown recovery calculator, and a position size calculator. But the two risk-of-ruin calculators themselves work differently. TradingHabits' version uses the classic closed-form "gambler's ruin" formula: enter your win rate and your risk per trade, and it returns a single risk-of-ruin percentage instantly, assuming a 1:1 risk-to-reward ratio and a fixed size every trade. ChartWiseHub's version runs a Monte Carlo simulation, generating many randomized sequences of wins and losses from a fuller strategy profile (starting balance, win rate, average win and loss in R, an optional fee drag, risk per trade, trade count, and your own ruin threshold), then reports the percentage of simulated paths that crossed that threshold, alongside a spread of other outcomes like median ending balance and percentile results.

The comparison below is based on ChartWiseHub's own published risk of ruin calculator page as of mid-2026.

The Basics, Side by Side

	TradingHabits	ChartWiseHub
Price	Free, all calculators	Free, no signup found on the calculator page
Signup required	No account, no email, no login	No account required to use the calculator itself
Methodology	Closed-form "gambler's ruin" formula, one deterministic calculation	Monte Carlo simulation across many randomized trade sequences
Inputs	Win rate and risk per trade only, assumes a 1:1 risk-to-reward ratio and fixed position size	Starting balance, win rate, average win and loss in R, optional fee drag, risk per trade, number of trades, ruin threshold, simulation count
Output format	A single risk-of-ruin percentage	Estimated risk of ruin, probability of profit, median and average ending balance, median max drawdown, 10th-percentile outcome, expectancy per trade, break-even win rate
Best for	A fast, directional read on how win rate and risk per trade interact, without entering a full strategy profile	A fuller stress test that accounts for uneven win/loss size, trade-sequence risk, and a range of possible outcomes rather than one number

What Each One Actually Does Well

Where TradingHabits fits

You want an instant answer from just two numbers, without filling in average win size, average loss size, or a simulation count first.
You're comparing how risk of ruin shifts as you change win rate or risk per trade in isolation, using the same simple formula every time.
You want this calculator as one step in a linked five-tool sequence, alongside expectancy, losing-streak probability, streak sizing, and drawdown recovery.
Your strategy's average winner and average loser are roughly similar in size, where the 1:1 assumption doesn't distort the estimate much.

Where ChartWiseHub fits

Your average winner and average loser are meaningfully different sizes, which the simulation accounts for directly instead of assuming they're equal.
You want to see a distribution of outcomes, like a median and a 10th-percentile ending balance, rather than one single percentage.
You want fees or cost drag factored into the simulation instead of estimated separately.
You're already using TradingView and want a tool that lives alongside its other TradingView-focused tutorials and guides.

Using Both

Both sites point to nearly the same follow-up cluster for a reason: risk of ruin means more once it's tied to expectancy, losing-streak odds, and drawdown recovery math. A trader could get a fast directional read from TradingHabits' instant formula, then run the same strategy's fuller profile, uneven win/loss sizes and all, through ChartWiseHub's Monte Carlo simulation to see the range of outcomes behind that single number.

A note on this comparison: ChartWiseHub's features and pricing are based on its own public risk of ruin calculator page as of mid-2026 and are subject to change without notice; confirm current details directly on ChartWiseHub before making a decision. Trading Habits is not affiliated with, sponsored by, or endorsed by ChartWiseHub. This page is provided for informational comparison only and is not an endorsement or criticism of either product.

Should I use an instant risk-of-ruin formula, or a Monte Carlo simulation?

The Basics, Side by Side

What Each One Actually Does Well

Where TradingHabits fits

Where ChartWiseHub fits

Using Both