Learn to journal & backtest
Practical, no-fluff guides to the skills that actually move the needle: keeping a trading journal that improves your results, backtesting strategies honestly, and reading the metrics that tell you whether you have an edge.
What Is a Trading Journal? (And How to Keep One That Actually Works)
The single highest-leverage habit in trading: what to record, how to review it, and the mistakes that make most journals useless.
Bar Replay Trading: What It Is and How to Practise With It
Re-trade real historical price action candle by candle: how it works, and why it beats both static backtesting and demo accounts.
How to Backtest a Trading Strategy (Step-by-Step)
Define the rules, choose the data, run the test, read the results, and dodge the biases (look-ahead, overfitting) that fool most traders.
Win Rate, Profit Factor & Expectancy Explained
The three numbers that tell you whether a strategy works: what they mean, how to calculate them, and why a high win rate can still lose money.
How to Backtest Forex (Step-by-Step, With Free Data)
Choosing pairs and sessions, getting historical FX data, and the session/news effects that trip up most forex backtests.
Backtesting vs Paper Trading vs Forward Testing
They test different things and lie to you in different ways: how to combine all three before risking real capital.
The Best Trading Journals in 2026 (Honest Comparison)
Five journals (and a spreadsheet) compared honestly: verified 2026 pricing, real strengths, real gaps, and how to pick the one that fits how you trade.
Best Backtesting Software for Futures Traders (NQ & ES, 2026)
Sessions, intraday data and prop-firm rules decide what futures backtesting needs: an honest look at TradeZella, FX Replay, TraderSync, NinjaTrader and Secuora.
Free Backtesting Tools Compared: What “Free” Actually Gets You
Four genuinely free ways to backtest (TradingView replay, FX Replay’s free tier, Secuora’s no-signup demo and a spreadsheet) and the caps that bite first in each.
Trading Journal App vs Spreadsheet: Which Should You Use?
The build-vs-buy decision for your journal: what Excel does brilliantly, where it quietly fails, the real cost in hours, and who should (and should not) switch.
How Many Trades Do You Need to Backtest? (The Sample-Size Math)
The sample-size math in plain language: why 20 trades proves nothing, why expectancy converges slower than win rate, and a practical 30→100→300 ladder.
Why Most Traders Fail (According to Evidence, Not Folklore)
What the attributable evidence actually shows: academic day-trading research, regulatory disclosures, and the five mechanisms that quietly drain accounts.
The Prop Firm Trading Journal: How to Prepare for (and Pass) an Evaluation
Evals are a rules game, not a profit game — what to journal during a challenge, the discipline metrics that predict a pass, and how to rehearse before paying.
Day Trading Statistics 2026: The Numbers You Can Actually Verify
Every figure sourced: regulatory loss disclosures, the academic record, an original 42,000-trade backtest dataset — and the “95% fail in 90 days” myth, debunked.
How to Backtest a Trading Strategy Without Coding
No Python, no Pine Script — three no-code ways to test a strategy properly, from bar-by-bar replay to describing it in plain English.
How to Backtest a Crypto Strategy (Step-by-Step)
Choosing the coin and timeframe, getting clean data, and the 24/7-market and fee quirks that quietly turn a "winning" crypto backtest into a loser.
Bar Replay vs Automated Backtesting: Which Should You Use?
Manual judgement versus machine throughput — what each one tests, where each one lies, and why the smartest workflow uses both.
How to Read a Backtest Report (Win Rate, PF, Expectancy, Drawdown)
What every line in a backtest report means — and which numbers actually decide whether a strategy works versus which ones are eye candy.
Overfitting in Backtesting: Why Your Backtest Lies
Curve-fitting is why a gorgeous backtest dies live — how it sneaks in, the warning signs, and how to prove your edge is real, not fitted to noise.
How to Build a Trading Strategy (From Idea to Tested Edge)
Turn a vague idea into explicit, testable rules — then backtest, journal and refine it honestly, without curve-fitting your way to a fake edge.
Expected Daily Move: How Far Can Price Travel Today?
The range a market is likely to trade in today, from its recent volatility: how it is calculated, and why it tells you how far price can move, not which way.
Volume Profile Explained: POC, Value Area, and How to Trade Them
How much traded at each price, not at each time: what the point of control and value area mean, and how traders use them as support and resistance.
The US Dollar Index (DXY) Explained: Why the Dollar Moves Everything
What the dollar index contains, why its direction ripples through stocks, commodities and crypto, and how traders use dollar strength as a macro filter.
Crypto Funding Rates and Long/Short Ratio Explained
What perpetual funding and the long/short ratio reveal about how leveraged traders are positioned, and why crowded extremes are read contrarian.
Realized Volatility Explained (and How It Differs From Implied)
The standard deviation of a market's actual returns: how to calculate it, how it differs from implied volatility, and why it drives sizing and the expected move.
The Crypto Fear and Greed Index: What It Is and How to Use It
A single 0-100 read of crypto market sentiment: what goes into it, why extremes are read contrarian, and where a sentiment gauge falls short.
What-If Analysis: Re-Run Your Real Trades Under Different Rules
Re-run the trades you actually took against real candles under changed rules: what a wider stop, a fixed reward-to-risk, or holding longer would truly have done.
Put it into practice
Secuora is a free trading journal and bar-by-bar replay backtester. Journal every trade, replay real markets candle by candle, and track your win rate, profit factor and expectancy.