alphabench

I just open sourced RaptorBT 🦅 A Rust backtesting engine that's: → 5,800x faster than VectorBT → 45x smaller disk footprint (450MB → <10MB) → 60x faster cold starts It's the engine powering Quant5's "backtest at the speed of thought" vision. GitHub: github.com/alphabench/rap… 🧵

Improved user experience coming this week on alphabench so you can deploy any strategy for any instrument at speed of thought! 🚀 alphabench.in

🚨 From thought to deploying strategies in live market is about to get faster and easier than ever. New updates coming to alphabench this week: strategies library, notifications, paper trading, and live trading (coming soon). We've made many improvements to help the agent handle everything from the simplest to the most complex user-requested strategies. Sign up for early access: alphabench.in/signup

🦅 RaptorBT just crossed 11,000 downloads on PyPI. We built a backtesting engine in Rust because Python was too slow to think at the speed of markets. The numbers speak for themselves: ↳ 5,800x faster than VectorBT at 1K bars ↳ 45x smaller footprint (~10MB vs ~450MB) ↳ <10ms startup vs 200-600ms ↳ 100% deterministic, no JIT variance Drop-in replacement. Same metrics. Zero compromise. pip install raptorbt github.com/alphabench/rap…

@krishnarama Yes, ideally you should since the raptorbt was designed to replace vectorbt for our workflows. Happy to help if you're facing any issues with raptorbt

@getalphabench Can we run in parallel to vectorbt

💡 We are experimenting with Python scripts so alphabench can export independently runnable strategy scripts, helping you go from idea to execution faster using raptorbt. Launching this week using alphabench.in/raptorbt #OptionsTrading #Backtesting #AlgorithmicTrading

@BMTheEquityDesk We've been experimenting with this exact question. Natural language to backtest in seconds on Indian equities. We're building on the quant side and the hardest part is making retail traders trust the data over their gut alphabench.in

AI se Equity Analysis Kaisi Hogi? #artificialintelligence #investing youtube.com/shorts/Uqv36ke…

8,700 downloads in 30 days. One month ago we open-sourced RaptorBT, a Rust-based blazing fast backtesting engine built for speed. The response has been humbling. If you haven't tried it yet, this is your sign. Backtest strategies at the speed of thought ⚡ 🔗 alphabench.in/raptorbt #AlgoTrading #OpenSource #Quant #IndianMarkets

Built @getalphabench for exactly this, retail traders who want institutional-grade backtesting but not a PhD to run it. Natural language → backtest on NSE data in seconds. No code. Powered by a custom Rust engine (5,800x faster than the usual suspects). Zerodha integration already live. Would love your take @NithinOdha 🙏 alphabench.in

My feed is filled with people vibe coding all sorts of financial tools using Kite APIs like portfolio dashboards, backtesting setups, market insight tools, and even automated trading setups. A lot of these things are useless but there are some genuinely well thought out tools, built to solve very specific problems that traders and investors have. And most of these people have never written a line of code in their life. Just plain English and AI coding tools like Claude Code, Codex, etc. If you have FOMO to try these tools but don't know where to start, try our MCP plugin first. Connect it to your Zerodha account and just start asking it things. You get a real sense of what's possible before you start using AI coding tools. Link in the comments.

@Ravindra_PE Great work! You might also be interested in alphabench 😄 alphabench.in

Indian Markets Terminal, i wanted to build for long. Finally got sme time. Will open source this when I complete with other features. This is meant for personal use. I am using fyers apis will extend to other brokers before open sourcing.

⚡️ RaptorBT v0.3.3 is here. Install: pypi.org/project/raptor… Documentation: #v033" target="_blank" rel="nofollow noopener">alphabench.in/raptorbt#v033 Before: Loop through 50 spread variations sequentially Now: One call, all in parallel, fractions of the time This unlocks fast parameter sweeps across strikes, expiries, and spread types, the kind of brute-force search that finds edge. Seeking alpha is a search problem. We just made the search space a lot bigger. #OptionTrading #AlgoTrading #TradingCommunity

👀 Derivatives focused agent coming soon. Sign up now for early access 👇 alphabench.in #NSE #OptionsTrading #Backtesting

Backtested every obvious strategy on AETHER after today's capacity news on @getalphabench → Buy intraday momentum: 0% win rate → Buy 52-week high breakout: 1 trade in 6 years, still lost The market already prices in Aether's good news instantly. No edge for retail traders chasing this. Best move? Watchlist it, not chase it. alphabench.in/share/nm1t49f3… Not investment/trading advice #NSE #Aether #Backtesting #StockTrading

Then we tightened stop-loss from 4% → 3%. Sharpe improved to 1.65. Profit factor hit 42.23. The backtest data is clear, IDFCFIRSTB has appeared as a short-on-bounces stock, not a buy-the-dip one. Backtested on @getalphabench 👇 alphabench.in/share/qsyti7ko… Not investment/trading advice. #NSE #StockTrading #idfcfirstb

We flipped the thesis. What if you SHORT the dead-cat bounces instead? Short when RSI(14) > 70 + 3% intraday rally. Result: 88.9% win rate | Sharpe 1.48 | 9 trades

🧵IDFCFIRSTB down 18% today on a ₹1,390 Cr block deal. Everyone's calling support numbers. We ran the actual numbers.

⚡ Today we're testing a faster self-hosted LLM service in our backend to power blazingly fast backtests. Our DMs are open for any queries and feedback is appreciated #StockTrading #NSE #Backtesting #TradingStrategy alphabench.in

@REDBOXINDIA Arbitrage spotting along with other exciting features coming to the platform soon alphabench.in

NATIONAL STOCK EXCHANGE (NSE) TO LAUNCH NANOSECOND-LEVEL TRADING FROM 11 APRIL, TARGETS 100 MILLION TRADES PER SECOND.

The quant trading community showed up 🙏 RaptorBT: 7,100 downloads. <1 month old. alphabench.in/raptorbt If you think that's exciting, wait till you see what we're building on top of it. Fast backtests. Conversational strategy building. Live trading. All coming. 🚀