Alpaca-ROC-Trading-Bot
Publisher-claimed Other strategy on Indices by tejaslinge. BotFinder score 37 out of 100.
Trading Bot using Alpaca API in Python. Indicators used: ROC (Rate of Change)
Source: github
BotFinder analysis pending.
Alpaca-ROC-Trading-Bot
AlpacaBot A HFT Bot built using Alpaca API. Trading strategy implemented in this project: 1. Calculate rate of change (ROC) of askprice of all stocks for last 1 min timeframe from a list (list contains tickers of all stocks you want to watch out for). 2. For the stock with highest ROC (let's call it S1), compare askprice and lasttradedprice (LTP) for 1 minute timeframe (if an order is not yet placed using this bot, timeframe for the 1st trade ever will be 30 mins, then 1 min for every trade after 1st trade is placed). 3. If, for S1, askprice > LTP, BUY S1 with 100% capital allocation. Else compare ASK and LTP for stock with 2nd highest ROC (S2), and repeat step 3 till we find a stock with ASK > LTP in the ROC sorted list. 4. Sell after 2% gain. 5. Repeat steps 1-4. Steps to building the Alpaca Trading Bot 1. Getting started with Alpaca Create an account with Alpaca: You can either sign up for a live account or a paper trading account to get started. Navigate to the Alpaca home page – https://alpaca.markets/ and click on Sign up. Get an API Key: After creating an account, log in to vi
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How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
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Alerts on changes: coming soon
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Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)