Welcome back to Stock Trader School: From Rookie to Rainmaker, and this is Trade Tech Thursdays, where data meets design.
In this episode, we’re diving deep into the world of backtesting—a critical tool every serious trader needs. If you’re trading without testing, you’re not trading—you’re gambling.
You’ll learn:
Why backtesting validates your trading strategy
How to avoid traps like overfitting, unrealistic fills, and survivorship bias
What tools are best for backtesting, including TradingView, Python (Pandas), QuantConnect, and Excel templates
How to interpret your results and turn raw data into reliable decisions
Whether you’re building scalping bots, swing setups, or long-term strategies, mastering backtesting will give you the edge to stay in the game.
00: 00 – Intro: What is Backtesting?
00: 37 – Why Backtesting Matters
01: 05 – Overfitting: Tailoring for Failure
01: 34 – Unrealistic Fills: The Hidden Trap
02: 22 – Survivorship Bias: Ignoring the Losers
03: 08 – Platforms Overview
03: 21 – TradingView for Visual Testing
03: 32 – Python & Pandas for Power Users
03: 45 – QuantConnect: One-Stop Algo Suite
03: 54 – Excel Templates: Simple but Effective
04: 12 – Backtesting Explained Like a Time Machine
05: 00 – Avoiding Prediction, Embracing Evidence
05: 27 – Picking the Right Tool
05: 42 – Final Pitfalls & Takeaways
06: 12 – Outro: Don’t Just Test It, Prove It
backtesting strategies, stock trading tools, trading backtest, tradingview backtest, python trading backtest, quantconnect tutorial, how to backtest, overfitting trading, survivorship bias trading, trade tech thursdays, stock trader school, validate trading strategy, backtest trading bot, trading psychology, retail trader tools
👉 Subscribe for more Trade Tech every Thursday
👍 Like if you’re done guessing and ready to back it up with data
If you are looking for more videos like this one see our Playlist of July: https://www.youtube.com/playlist?list=PLZwKajxDlyXonq4h5hXisZ7Ir1W4XWgkT
⚠️This is not financial advised⚠️
⚠️Day Trading Risk Disclosure⚠️
Day trading is highly risky and may result in significant financial losses. It is not suitable for individuals with limited resources, experience, or a low risk tolerance. You should be prepared to lose all funds used for day trading and should not use money from retirement savings, loans, or essential expenses.
Key risks include:
⚠️ High volatility – Prices can move rapidly, leading to large gains or losses.
⚠️ Substantial commissions – Frequent trading can generate high fees.
⚠️ Margin risks – Trading with borrowed money can result in losses exceeding your initial investment.
⚠️ Market conditions – Sudden market shifts may make it difficult to exit trades.
⚠️ Regulatory considerations – Some activities may require registration as an investment advisor or broker.
By participating in day trading, you acknowledge and accept these risks. Trade responsibly.
#trading #stockmarket #livetrading #howtomakemoney #stocks
#forex #tradingforbeginners #forextrading #daytrading #education
#swingtrading #personalfinance #tradinglive
#tradingstrategy #makemoney #wallstreet #tradingpsychology