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DashboardAutomated JournalCalendarAccountsStrategiesPayouts
Solutions Partners Supported Brokers Pricing
Resources
BlogGuides, data, and practical trading research
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Economic CalendarTrack market-moving events
Traders SayRead the conversation from the trading community
Free Trading CalculatorsPlan risk, reward, and your next trade.
EN
ENUKDEESPLRUFRHI
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News & insights from the BitStat team

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What Happens When You Violate a Prop Firm Rule Mid-Trade?
BitStat Team

What Happens When You Violate a Prop Firm Rule Mid-Trade?

When a prop firm loss limit is touched while a trade is open, the breach usually counts at that moment, not at the close. This article explains equity-based limits, soft and hard breaches at FTMO and Topstep, a worked example with slippage, and a pre-trade sizing check.

Oct 21, 202610 min read

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What Happens When You Violate a Prop Firm Rule Mid-Trade?
BitStat Team

What Happens When You Violate a Prop Firm Rule Mid-Trade?

When a prop firm loss limit is touched while a trade is open, the breach usually counts at that moment, not at the close. This article explains equity-based limits, soft and hard breaches at FTMO and Topstep, a worked example with slippage, and a pre-trade sizing check.

Oct 21, 202610 min read
How to Review a Losing Trade Without Making Excuses
BitStat Team

How to Review a Losing Trade Without Making Excuses

A losing trade review works when facts come before explanations and the result comes last. This article lays out a five-step order borrowed from the after action review, four buckets for classifying a loss, a worked example that splits a -1.7R loss into plan and execution costs, and a table that turns common excuses into questions the journal can answer.

Oct 18, 20269 min read
What Is the Kelly Criterion?
BitStat Team

What Is the Kelly Criterion?

The Kelly criterion gives the fraction of capital to risk per trade that maximizes long-run growth: f = W − (1 − W) / R. This glossary entry covers where it comes from, worked examples, why full Kelly sizes of 10-20% are too aggressive, how sample size makes the inputs uncertain, and how traders use it as a ceiling rather than a target.

Oct 17, 20269 min read
Overconfidence After a Winning Streak: Why It's Dangerous
BitStat Team

Overconfidence After a Winning Streak: Why It's Dangerous

A winning streak feels like proof of skill, but at a 50% win rate a run of five winners shows up in most 100-trade stretches by chance. This article covers what research on self-attribution and overconfidence shows, how overconfidence appears in a trading journal, what a size increase after a streak can cost, and a four-step protocol for the winning side.

Oct 15, 20267 min read
What Is Sortino Ratio and How Is It Different From Sharpe?
BitStat Team

What Is Sortino Ratio and How Is It Different From Sharpe?

The Sortino ratio divides return above a target by downside deviation, so large winning periods are not counted as risk. This article walks through the formula on six months of journal data, shows how the most common calculation mistake nearly triples the result, and compares three strategies with the same average return that Sharpe and Sortino rank differently.

Oct 13, 20267 min read
Funded Account vs Personal Account: What Changes About Your Risk
BitStat Team

Funded Account vs Personal Account: What Changes About Your Risk

On a funded prop account, risk is measured against a fixed loss allowance, not the account size on screen, so the same 1% rule means something very different than on a personal account. This article compares the two side by side, works through an illustrative example with FTMO's published limits, and shows how to size, set a daily stop, and journal both account types.

Oct 11, 20268 min read
The Difference Between a Trading Journal and a Trading Diary
BitStat Team

The Difference Between a Trading Journal and a Trading Diary

A trading journal records each trade in fixed fields so results can be filtered and counted, while a trading diary is dated free text that explains each session: the plan, market context, skipped trades, and lessons. This article compares the two side by side, shows where traders blur them, and outlines a short daily routine that keeps both without doubling the work.

Oct 8, 20267 min read
What Is Value at Risk (VaR) in Trading?
BitStat Team

What Is Value at Risk (VaR) in Trading?

Value at Risk estimates the loss an account should not exceed over a set period at a chosen confidence level. This glossary entry shows how to calculate it from a trading journal, how the historical and parametric methods differ, and why VaR marks the start of the tail rather than the worst case.

Oct 7, 20267 min read
How to Handle a Losing Streak Without Spiraling
BitStat Team

How to Handle a Losing Streak Without Spiraling

A losing streak rarely does its real damage through the losses themselves. The damage comes when the streak changes size, standards, and trade frequency. This article covers how to triage a streak, set a protocol before it starts, and return to full size safely.

Oct 6, 20266 min read
How to Calculate Sharpe Ratio for Your Trading Results
BitStat Team

How to Calculate Sharpe Ratio for Your Trading Results

The Sharpe ratio measures return per unit of risk, but calculating it correctly requires periodic returns, the right risk-free rate, and proper annualizing. This article walks through the formula, a worked example from a trading journal, and what the ratio misses.

Oct 4, 20266 min read
What Is a Prop Firm Consistency Rule?
BitStat Team

What Is a Prop Firm Consistency Rule?

A prop firm consistency rule caps how much of your total profit may come from your best trading day. This article explains how the ratio is calculated, compares the official Topstep and FTMO versions, walks through a worked example, and lists habits that keep you under the limit.

Oct 1, 20266 min read
How to Journal Trades Across Multiple Timeframes
BitStat Team

How to Journal Trades Across Multiple Timeframes

A multi-timeframe trade should be journaled as one record with three separate roles: the higher timeframe that set the bias, the middle timeframe that framed the setup, and the lower timeframe that triggered entry. This article covers a three-layer log structure, recording which chart defined the stop and target, taking snapshots at entry to avoid hindsight, and reviewing results by timeframe combination.

Sep 30, 20265 min read
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