### Install Vibe-Trading using uv Source: https://vibetrading.wiki/home Install the Vibe-Trading package using the uv tool. This command also initializes the Vibe-Trading environment and starts the server. ```bash uv tool install vibe-trading-ai vibe-trading init vibe-trading serve --port 8899 ``` -------------------------------- ### Install and Use Alpha Library CLI Source: https://vibetrading.wiki/alpha-library Instructions for installing the vibe-trading-ai library and using the CLI to list alphas within a zoo or benchmark a zoo against a custom universe and period. ```bash # install pip install vibe-trading-ai # list every alpha in a zoo vibe-trading alpha list --zoo gtja191 # benchmark a zoo on your universe and period vibe-trading alpha bench --zoo gtja191 --universe csi300 --period 2020-2025 ``` -------------------------------- ### Install Vibe-Trading using pip Source: https://vibetrading.wiki/home Install the Vibe-Trading Python package using pip. This command also initializes the Vibe-Trading environment. ```bash pip install vibe-trading-ai vibe-trading init vibe-trading ``` -------------------------------- ### Install Vibe-Trading from Source Source: https://vibetrading.wiki/home Clone the Vibe-Trading repository and install it in editable mode using pip. This is useful for development or when using the latest unreleased code. ```bash git clone https://github.com/HKUDS/Vibe-Trading cd Vibe-Trading pip install -e . vibe-trading ``` -------------------------------- ### Install and Run Alpha Benchmarking with vibe-trading-ai Source: https://vibetrading.wiki/research-lab/posts/alpha-191-in-2026.html Install the vibe-trading-ai library and set up your token. Then, use the CLI to run alpha benchmarking for a specified zoo, universe, and period. This command generates an HTML report with detailed alpha performance metrics. ```bash pip install vibe-trading-ai export TUSHARE_TOKEN=your_token_here vibe-trading alpha bench --zoo gtja191 \ --universe csi300 \ --period 2020-2025 \ --top 20 ``` -------------------------------- ### Run Market Research with Vibe-Trading CLI Source: https://vibetrading.wiki/alpha-library/content/gtja191/index.html Execute market research queries using the Vibe-Trading command-line interface. This example demonstrates backtesting a strategy for BTC-USDT. ```bash $ vibe-trading run -p "Backtest BTC-USDT 20/50 MA for 2024" route: crypto data -> strategy -> backtest -> run card return +18.6% max drawdown -7.4% ``` ```bash $ vibe-trading --swarm-run investment_committee workers: macro, quant, risk, catalyst report saved with evidence, metrics, and caveats BTC-USDTSPY510300.SHUSDCNH ``` -------------------------------- ### Run Market Research with Vibe-Trading CLI Source: https://vibetrading.wiki/home Execute market research queries using the Vibe-Trading command-line interface. Specify research parameters like asset, timeframe, and strategy. ```bash vibe-trading run -p "Backtest BTC-USDT 20/50 MA for 2024" ``` ```bash vibe-trading --swarm-run investment_committee ``` -------------------------------- ### Run Alpha Benchmarking Tool Source: https://vibetrading.wiki/research-lab/posts/alpha-191-in-2026.html Command to run the alpha benchmarking tool for a specific alpha zoo and universe over a defined period. This command generates an HTML report with detailed alpha performance metrics. ```bash $ vibe-trading alpha bench --zoo gtja191 --universe csi300 \ --period 2018-2025 --top 20 ``` -------------------------------- ### Run a Market Research Query Source: https://vibetrading.wiki/alpha-library/content/alpha101/index.html Execute a natural language query to perform market research, such as backtesting a trading strategy. The output shows the route taken and the results. ```bash vibe-trading run -p "Backtest BTC-USDT 20/50 MA for 2024" ``` -------------------------------- ### Run a Swarm Analysis Source: https://vibetrading.wiki/alpha-library/content/alpha101/index.html Initiate a swarm analysis with predefined research teams. The command specifies the swarm and indicates that a report with evidence and metrics will be saved. ```bash vibe-trading --swarm-run investment_committee ``` -------------------------------- ### Alpha 191: Top Surviving Formulas Source: https://vibetrading.wiki/research-lab/posts/alpha-191-in-2026.html Formulas for top-performing surviving alphas, identified by zoo ID and formula paraphrase. These are reproduced verbatim from the registry. ```plaintext -1*((l-c)*(o^5))/((c-h)*(c^5)) ``` ```plaintext sma(v*((c-l)-(h-c))/(h-l),11,2)-sma(v*((c-l)-(h-c))/(h-l),4,2) ``` ```plaintext rank(((-1*ret)*mean(v,20))*vwap*(high-close)) ``` ```plaintext (-1 * DELTA(((CLOSE - LOW) - (HIGH - CLOSE)) / (HIGH - LOW), 1)) ``` ```plaintext ((-1*RANK((STD(ABS(CLOSE-OPEN),10)+(CLOSE-OPEN))+CORR(CLOSE,OPEN,10)))) ``` -------------------------------- ### Alpha 191: Famously Dead Formulas Source: https://vibetrading.wiki/research-lab/posts/alpha-191-in-2026.html Formulas for alphas that were previously effective but are now considered dead or reversed. These are reproduced verbatim from the registry. ```plaintext (c-delay(c,1))/delay(c,1)*v ``` ```plaintext see body ``` ```plaintext (CLOSE-MEAN(CLOSE,6))/MEAN(CLOSE,6)*100 ``` === COMPLETE CONTENT === This response contains all available snippets from this library. No additional content exists. Do not make further requests.