Trade Distribution Analysis
Trade Distribution Analysis: Read Your Strategy Beyond Win Rate
Learn how to run a trade distribution analysis: build the histogram of your trade results, read skew and fat tails, and avoid sample-size and bias traps.
Backtesting,
explained honestly
Bollinger Bands Backtest
Bollinger Bands Backtest: How to Test It Properly
How to backtest a Bollinger Bands strategy: define entries and exits, set costs, read the metrics, avoid overfitting, and validate before risking capital.
Scalping Strategy Backtest
Scalping Strategy Backtest: How to Test One Without Fooling Yourself
Learn how to backtest a scalping strategy realistically: model spread and slippage, avoid look-ahead bias, size your sample, and validate out of sample.
Intraday Backtesting
Intraday Backtesting: How to Test Day Trading Strategies
Learn how intraday backtesting works: choosing data, defining rules, multi-timeframe testing without look-ahead bias, the metrics that matter and the errors that fool traders.
Heikin Ashi Backtest
Heikin Ashi Backtest: How to Test It Without Fake Fills
How to run a Heikin Ashi backtest you can trust: set the rules, avoid synthetic fills and look-ahead bias, add costs, and check results across markets.
Ulcer Index Trading
Ulcer Index in Trading: Formula, Examples and How to Use It
Learn what the Ulcer Index measures, how to calculate it step by step, how to read the number, and how to use it with the Martin ratio to judge a strategy.
Evidence Based Trading
Evidence-Based Trading: How to Test Before You Trade
Evidence-based trading means testing every rule on historical data before risking capital. Learn the hypothesis, backtest, metrics and pitfalls that matter.
Renko Backtesting
Renko Backtesting: Why Most Tests Lie and How to Fix Them
Renko backtests often look better than live trading. Learn the look-ahead and tick-data traps, how to model costs, and a clean process to test Renko honestly.
Trading Strategy Optimization
Trading Strategy Optimization: How to Do It Without Overfitting
Learn how to optimize a trading strategy on historical data: pick parameters, set ranges, judge metrics, and test for overfitting before risking real capital.
Backtesting vs Paper
Backtesting vs Paper Trading: Which to Use and When
Backtesting tests rules on past data. Paper trading tests you and those rules in live markets. Learn what each proves, where each fails, and the best order.
Trailing Stop vs
Trailing Stop vs Profit Target: Which Exit Fits Your Strategy
Trailing stop or profit target? See how each exit works, where each fails, and how to test both on your own strategy before risking real capital.
Rsi Strategy Backtest
RSI Strategy Backtest: How to Test It Without Fooling Yourself
Backtest an RSI strategy the right way: pick rules, include costs, avoid overfitting, validate out of sample and read win rate, profit factor and drawdown.
Sharpe Ratio Trading
Sharpe Ratio in Trading: Formula, Benchmarks and Limits
Learn how the Sharpe ratio works in trading, what counts as a good number, and when Sortino or Calmar tells you more, with a worked example.
Strategy Validation Checklist
Strategy Validation Checklist: 10 Checks Before You Risk Capital
A practical strategy validation checklist for traders: ten checks, from look-ahead bias to costs and Monte Carlo, plus a sign-off gate to reject weak strategies.
Moving Average Crossover
Moving Average Crossover Backtest: What the Data Shows
How to backtest a moving average crossover or golden cross honestly: rules, costs, look-ahead bias, out-of-sample checks and what a real result looks like.
Overfitting in Backtesting
Overfitting in Backtesting: How to Spot It and Stop It
Overfitting makes a backtest look great and fail live. Learn the warning signs, the math behind false winners, and a practical checklist to test strategies honestly.
Price Action Backtesting
Price Action Backtesting: Could Your Edge Survive a 73% Sharpe Drop?
Learn how to backtest price action with realistic tick or bar data, catch overfitting and selection bias, and validate results before risking capital.
Forward Testing Trading
Forward Testing for Traders: 5 Checks for Auditable Results
Learn how traders can forward test a strategy with five setup checks, locked rules, and validation methods such as PBO, CPCV, and walk forward analysis.
Smart Money Concepts
Backtesting Smart Money Concepts: Catch the Lookahead Trap
Turn discretionary Smart Money Concepts into auditable rules, then test for lookahead bias, data mining, costs, and slippage before trusting a backtest.
Regime Detection Trading
Regime Detection in Trading: Backtest Before Risking Capital
Learn how HMMs, clustering, and volatility filters classify market regimes, then validate signals with walk forward backtests before changing trading risk.
Swing Trading Backtest
Swing Trading Backtest: 7 Steps to Catch a False Edge
Test a swing trading backtest with point in time data, realistic fills, walk forward validation, and five diagnostics to expose false edges.
Backtesting Data Length
Historical Data for Backtests: 3 Trials Can Undermine a 10 Year Sharpe
Learn how backtesting data length varies by trade frequency, then estimate a sound sample using market regimes, trial counts, and the Deflated Sharpe.
Order Block Backtest
Order Block Backtesting: Code the Rules Before Trusting Results
Turn order block rules into code, then test with realistic costs, out of sample data, and walk forward checks. Track profit factor and drawdown.
Mae Mfe Analysis
MAE and MFE Analysis: Set Percentile Stops Without Guesswork
Use MAE and MFE analysis to set stops by percentile, compare excursions normalized by ATR, and log journal fields for evidence based reviews.
Trading Expectancy Formula
Traders: Calculate Your $7 Edge with the Trading Expectancy Formula
Calculate trading expectancy with concrete examples ($7/trade, 0.09R). Include costs, avoid overfitting, and validate your edge with realistic backtests.
Risk Reward Ratio
Stop Guessing Risk Reward Ratio: Six Step Backtest and 2% Sizing
Evidence-first guide to risk reward ratio for retail traders: calculate R:R, apply the 2% sizing rule, and run a six step backtest with Backtestify to...
Kelly Criterion Trading
Turn Kelly Criterion Into Validated Position Sizes for Traders
Trader-focused, implementation-first guide to turn Kelly Criterion math into validated position sizes. Learn fractional Kelly, portfolio constraints, and...
Stop Loss Optimization
Reduce Overfitting: Backtest First Stop Loss Optimization for Quants
Backtest first stop loss optimization for algo developers and quants. Use walk-forward validation, Monte Carlo stress tests, and conservative slippage...
Monte Carlo Backtesting
5,000 Paths: Monte Carlo Backtesting That Exposes Tail Risk for Traders & Devs
Learn which methods, block lengths, and OOS checks to run—and why 5,000+ paths reveal true drawdown, ruin probability, and reproducible risk limits.
Next Candle Prediction
Next Candle Prediction for Traders: Evidence First Backtest Workflow
Evidence first guide: turn next candle signals into tested probabilities. Combine candle features, volume and trend filters, then backtest before risking...
Profit Factor Explained
Profit Factor: Why 1.3–2.0 Alone Misleads Traders on After Costs
Learn an execution first view of profit factor: compute it after costs, check trade count and equity curve, and verify out of sample results before...
Ict Strategy Backtest
Backtest ICT Without Code: Walk Forward Workflow for ICT Traders
Convert discretionary ICT setups into plain English AI assisted rules, run walk forward validation, and check execution across engines before risking capital.
Tradingview Pine Script
8 Step TradingView Pine Script Backtest to Catch Repaint and Fill Bugs
An 8 Step TradingView Pine Script backtest checklist to avoid repaint, fill, and trailing stop bugs. Export to CLI for reproducible analysis and deeper...
Position Sizing Methods
0.5–1% Baseline: Position Sizing Methods Every Trader Should Test
Position sizing methods with math examples, Kelly and Bayesian cautions, and a workflow that tests first. Start with a 0.5–1% baseline before risking live...
Backtest Futures Strategy
8 Steps to Backtest Futures Strategies for Developers: Execution-First Checklist
An execution-first checklist for developers and algo traders: eight concrete steps to map exchange specs to fills, model 1 tick per-side costs, and reach...
Walk Forward Analysis
Stop Overfitting: Walk Forward Analysis for Algo and Retail Traders
Practical walk forward analysis for algorithmic and retail traders. Implementation checks include purge and embargo controls, state resets, DSR and PBO,...
Risk of Ruin
95th Percentile Simulations to Cut Your Risk of Ruin
Simulation first guide to estimate and control risk of ruin with Monte Carlo and bootstrap percentiles (95th, 99th), concrete sizing rules, and evidence...
Risk Adjusted Returns
Prove Risk Adjusted Returns With a Sharpe and Sortino Worked Example
Learn how to calculate and validate risk adjusted returns using clear formulas, a reproducible Sharpe and Sortino example, and practical backtesting checks.
Look Ahead Bias
4 Quick Tests to Expose Look-Ahead Bias in Quant Backtests
Diagnostic-first guide for quant teams to expose and fix look-ahead bias. Use T+1 shifts, timestamp audits, purged cross-validation, and a reproducible...
Data Snooping Bias
Data Snooping Bias for Traders: Reality Check, SPA, and Tools
How data snooping bias inflates backtests, which tests (Reality Check, SPA) detect it, and practical backtesting steps and tools to expose overfitting...
Out of Sample
50-Day Purge Gaps: Out-of-Sample Testing Rules for Traders
Trader how-to: run walk-forward out-of-sample tests. Enforce purge gaps, lock parameters, and use Deflated Sharpe to expose backtest inflation.
Backtest Trading Strategy
Backtest Trading Strategies Like a Regulator for Traders
Use a regulator-style, evidence-based workflow to backtest trading strategies: precise rules, realistic fills, out-of-sample validation, and paper trading...
Maximum Drawdown
Maximum Drawdown for Traders: Spot 50% Losses That Need 100% Gains
Calculate maximum drawdown, run backtest checks to expose hidden risk, and validate trading strategies with peak to trough examples.
Backtest Options Strategy
Backtest Your Options Strategy With Realistic Fills and Robust Tests
Backtest options strategies using realistic fills, out of sample checks, and Monte Carlo stress tests. Try a free Backtestify account to run your first...