I

I made a LLM trade Stocks

Hacker News

I made a LLM trade Stocks

Hi HN! I made this as a side project, but astonishingly, it actually turned out to be profitable for me (Paper Trading). In short, the algorithm works in the following way: 1. It discovers trending and profitable stocks provided by the Alpha Vantage API through news sentiment analysis. 2. Now, having a list of good stock options, it cherry-picks those stocks that it considers to be from "evergreen companies" that just can't go bankrupt and will result in profit in the long term. 3. It sets limit orders for the stocks by analyzing the past 7 days of their prices (all by using LLMs). 4. The stop-loss price is calculated as 95% of the current price to mitigate risks. 5. It then buys the largest amount of stocks that have the greatest spread (limit price - current price) out of the chosen stocks through a position-sizing algorithm. 6. It constantly monitors the positions and buys more stocks when the existing ones are sold off.

Share card

Actual performance

2points
3comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: trading, way, profitable · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, using · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable · Missing: arr, mrr, revenue
18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Trade It
Trade It40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Shazam for stocks

Indie Hackerscommitment-full-time
MetricsHour
MetricsHour25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

See which stocks are exposed to global trade shifts

Indie Hackers1cryptocurrency
Morpher
Morpher61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trade stocks using crypto.

Indie Hackers1finance
Zinvest
Zinvest69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trade Stocks, ETFs, and China-A Shares with $0 Commissions

Indie Hackerscommitment-full-time
Wa
WallStreetBets Most Mentioned Stocks50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WallStreetBets Most Mentioned Stocks

Hacker News2
Te
TendieList – WallStreetBets on Stocks37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TendieList – WallStreetBets on Stocks

Hacker News1
El
Elo Ratings for Stocks37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Elo Ratings for Stocks

Hacker News1
St
Stalking Stocks37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stalking Stocks

Hacker News1
Pa
PairBook – correlation and holdings overlap for +4,700 US stocks/ETFs37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

PairBook – correlation and holdings overlap for +4,700 US stocks/ETFs

Hacker News4
St
Stocks on your smartwatch - WatchStocks37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Stocks on your smartwatch - WatchStocks

Hacker News1