QuantCodeClub @QuantCodeClub

Building strategy #127 for the library today. Mean reversion on NQ using RSI + volume confirmation. Early backtest results look promising (2.1 Sharpe) but here's the kicker: It completely fails in trending markets. This is why diversification matters. No single strategy works in all conditions. #algotrading

Question for systematic traders: What's your #1 struggle right now? a) Finding profitable strategies b) Avoiding curve-fitting c) Position sizing correctly d) Staying disciplined with the system Drop your answer below. Genuinely curious 👇 #algotrading

Most traders test their strategies on 2-3 years of data and call it "backtesting." Here's the problem: You're likely capturing ONE market regime. Test across: → Bull markets → Bear markets → High volatility periods → Low volatility grinds Your strategy needs to survive all conditions, not just favorable ones. #tradingstrategy #algotrading

Weekend question for systematic traders: How many strategies do you currently run in your portfolio? 0 - Still learning 1-3 - Getting started 4-7 - Building diversification 8+ - Full portfolio mode Drop your number below 👇 #FinTwit

5 signs your "profitable" backtest won't work in live trading: (I've made all of these mistakes over 15 years) 1/ Too many parameters If your strategy has 8+ optimizable inputs, you're probably fitting noise. Rule of thumb: <5 parameters for intraday, <7 for swing trading. More parameters = more ways to accidentally curve-fit. 2/ Suspiciously smooth equity curve Real strategies have drawdowns. Real strategies have losing streaks. If your backtest equity curve looks like a 45-degree line with no dips, something's wrong. Usually: lookahead bias or overfitting. 3/ You only tested one market regime A strategy developed in 2020-2021 (low vol, trending up) might blow up in 2022 (high vol, choppy). Test across: trending, ranging, volatile, and quiet periods. Minimum 10 years of data for futures. 4/ No out-of-sample period In-sample: data you used to develop the strategy Out-of-sample: data the strategy has never "seen" If you don't have OOS results, you don't have results. I use 70/30 split minimum. Walk-forward is even better. 5/ The strategy "needs" a specific start date "It works great if you start in March 2019..." Real strategies work regardless of entry timing. If your backtest is sensitive to start date, it's fragile. These mistakes cost me years of wasted development time. Now I test 100+ strategies with strict OOS protocols before sharing any of them. That's the foundation of quantcodeclub.com #FinTwit #AlgoTrading quantcodeclub.com

Week 1 of building QuantCodeClub in public: → 100+ tested strategies in the library → Full performance data visible (before you pick) → EasyLanguage code for TradeStation & MultiCharts → Free tier with real access (not a demo) If you're building a systematic futures portfolio, check it out. quantcodeclub.com

@DenizTheTrader Imagine poker, but you only play hands where you have a statistical edge, you never tilt, and you play 10,000 hands a year automatically. That’s systematic trading.

#ThursdayMotivation for systematic traders: Your strategy doesn't need to win every day. Your portfolio doesn't need to beat the market every week. You just need to show up, execute the plan, and trust the process. Consistency compounds. Discipline beats emotion. Systems beat predictions. Keep building. 📊

The goal isn't to find one perfect strategy. It's to build a portfolio of 8-12 uncorrelated strategies that: - Perform in different market conditions - Don't all draw down at the same time - Compound over years, not days One strategy is gambling. A portfolio is a business. #algotrading #tradingstrategy

Free TradeStation tip most traders miss: Use "Strategy Performance Report" → "Trade Analysis" → "Time Analysis" Shows you WHEN your strategy makes/loses money. Some strategies print money at open, bleed the rest of the day. Knowing this changes how you trade it. #Eaylanguage #algotrading

Why I build strategies in EasyLanguage (TradeStation/MultiCharts): → Readable syntax (closer to English than most languages) → Built-in backtesting with realistic fills → Direct broker integration → 25+ years of community code to learn from Not the flashiest. But it works. #easylanguage #algotrading

Building QuantCodeClub for systematic futures traders who: ✓ Use TradeStation or MultiCharts ✓ Want tested EasyLanguage code (not theories) ✓ Care about out-of-sample performance ✓ Want to build a real portfolio, not chase one "magic" strategy Free to browse. No credit card. quantcodeclub.com

@SofiaMarin5555 👈

Hot take: A strategy with a 1.2 Sharpe ratio that survives out-of-sample testing is worth more than a 2.5 Sharpe strategy that was optimized in-sample. The first one might actually work. The second one is probably a mirage. #strategy #algotrading

@KinggTrades Clear sign of market manipulation. I wonder how long will it go.

@SJosephBurns Process

The real story isn’t just the cut—it’s what the forward guidance signals about the Fed’s reaction function. For systematic traders, these regime shifts matter more than the headline number. Volatility around FOMC decisions often creates opportunity, but only if your strategy accounts for the uncertainty.

EasyLanguage tip: "Crosses above" and "Crosses below" are cleaner than checking previous bar values manually. Instead of: If RSI > 30 and RSI[1] <= 30 then... Use: If RSI crosses above 30 then... Same logic. Easier to read. Fewer bugs. #easylanguage #algotrading

Systematic traders: what's your biggest challenge right now? A) Finding strategies that work live (not just in backtests) B) Building a diversified portfolio C) Learning EasyLanguage/coding D) Knowing when to retire a strategy #FinTwit #systematictrader

The #1 mistake I see in strategy development: Optimizing parameters until the backtest looks perfect. That's not strategy development. That's curve-fitting with extra steps. Out-of-sample testing exists for a reason. #AlgoTrading #strategydevelopment