Las comunidades financieras de Reddit como r/wallstreetbets, r/stocks y r/investing muestran el sentimiento minorista horas antes de que aparezca en la acción del precio. Este escáner utiliza el punto final de búsqueda de Scavio Reddit para extraer discusiones recientes que mencionan cotizaciones bursátiles, las califica según el sentimiento y la participación, y genera una lista de seguimiento clasificada. Cada escaneo de subreddit cuesta $0,005.
Requisitos previos
- Python 3.8+
- solicita biblioteca
- Una clave API de Scavio de scavio.dev
- Apunte a tickers o palabras clave relacionadas con acciones
Guia paso a paso
Paso 1: Configurar el escáner de acciones de Reddit
Configure el escáner con subreddits de destino y extracción de teletipos.
Python
import os, requests, re
from collections import defaultdict
API_KEY = os.environ['SCAVIO_API_KEY']
SH = {'x-api-key': API_KEY, 'Content-Type': 'application/json'}
SUBREDDITS_QUERIES = ['wallstreetbets stock', 'stocks investing', 'investing portfolio']
TICKER_PATTERN = re.compile(r'\b[A-Z]{2,5}\b')
COMMON_WORDS = {'THE', 'AND', 'FOR', 'ARE', 'BUT', 'NOT', 'YOU', 'ALL', 'CAN', 'HER',
'WAS', 'ONE', 'OUR', 'OUT', 'HAS', 'ITS', 'HIS', 'HOW', 'MAY', 'NEW'}
def extract_tickers(text):
found = TICKER_PATTERN.findall(text)
return [t for t in found if t not in COMMON_WORDS and len(t) >= 2]
print('Reddit stock scanner configured.')Paso 2: Escanee Reddit para ver discusiones sobre acciones
Busque comunidades financieras de Reddit y extraiga menciones con contexto.
Python
def scan_reddit(query):
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'platform': 'reddit', 'country_code': 'us'}).json()
results = data.get('organic_results', [])[:15]
mentions = defaultdict(list)
for r in results:
text = f"{r.get('title', '')} {r.get('snippet', '')}"
tickers = extract_tickers(text)
for t in tickers:
mentions[t].append({'title': r.get('title', '')[:80],
'snippet': r.get('snippet', '')[:120], 'link': r.get('link', '')})
return mentions
all_mentions = defaultdict(list)
for q in SUBREDDITS_QUERIES:
mentions = scan_reddit(q)
for ticker, posts in mentions.items():
all_mentions[ticker].extend(posts)
print(f' {q}: {len(mentions)} tickers found')
print(f'Total unique tickers: {len(all_mentions)}')Paso 3: Puntuación de tickers por sentimiento y volumen
Asigne puntuaciones de sentimiento en función de las palabras clave del contexto y clasifique por volumen de menciones.
Python
BULLISH = ['buy', 'moon', 'calls', 'bullish', 'undervalued', 'squeeze', 'breakout', 'long']
BEARISH = ['sell', 'puts', 'bearish', 'overvalued', 'crash', 'short', 'dump', 'avoid']
def score_ticker(ticker, posts):
bull = bear = 0
for p in posts:
text = f"{p['title']} {p['snippet']}".lower()
bull += sum(1 for w in BULLISH if w in text)
bear += sum(1 for w in BEARISH if w in text)
total = bull + bear or 1
sentiment = (bull - bear) / total
return {'ticker': ticker, 'mentions': len(posts), 'bullish': bull,
'bearish': bear, 'sentiment': round(sentiment, 2)}
scored = [score_ticker(t, p) for t, p in all_mentions.items()]
scored.sort(key=lambda x: x['mentions'], reverse=True)
print(f'\nTop tickers by mention volume:')
for s in scored[:10]:
signal = 'BULL' if s['sentiment'] > 0.3 else 'BEAR' if s['sentiment'] < -0.3 else 'NEUTRAL'
print(f' ${s["ticker"]:5} | {s["mentions"]:3} mentions | sentiment: {s["sentiment"]:+.2f} | {signal}')Paso 4: Generar una lista de vigilancia diaria
Filtre tickers de señal alta y genere una lista de seguimiento clasificada.
Python
def generate_watchlist(scored, min_mentions=2):
watchlist = [s for s in scored if s['mentions'] >= min_mentions]
watchlist.sort(key=lambda x: abs(x['sentiment']) * x['mentions'], reverse=True)
cost = len(SUBREDDITS_QUERIES) * 0.005
print(f'\n=== Reddit Stock Watchlist ({len(watchlist)} tickers) ===')
print(f'Cost: ${cost:.3f} ({len(SUBREDDITS_QUERIES)} queries)')
for i, s in enumerate(watchlist[:15], 1):
signal = 'BULL' if s['sentiment'] > 0.3 else 'BEAR' if s['sentiment'] < -0.3 else 'MIXED'
print(f' {i:2}. ${s["ticker"]:5} | {s["mentions"]:3}x | {signal:7} | score: {s["sentiment"]:+.2f}')
return watchlist
watchlist = generate_watchlist(scored)Ejemplo en Python
Python
import os, requests, re
from collections import defaultdict
SH = {'x-api-key': os.environ['SCAVIO_API_KEY'], 'Content-Type': 'application/json'}
TICKER_RE = re.compile(r'\b[A-Z]{2,5}\b')
SKIP = {'THE','AND','FOR','ARE','NOT','YOU','ALL','CAN','HAS','NEW'}
def scan(query):
data = requests.post('https://api.scavio.dev/api/v1/search',
headers=SH, json={'query': query, 'platform': 'reddit', 'country_code': 'us'}).json()
tickers = defaultdict(int)
for r in data.get('organic_results', [])[:10]:
for t in TICKER_RE.findall(f"{r.get('title','')} {r.get('snippet','')}"):
if t not in SKIP: tickers[t] += 1
for t, c in sorted(tickers.items(), key=lambda x: -x[1])[:5]:
print(f' ${t}: {c} mentions')
scan('wallstreetbets stock picks')Ejemplo en JavaScript
JavaScript
const SH = { 'x-api-key': process.env.SCAVIO_API_KEY, 'Content-Type': 'application/json' };
async function scan(query) {
const data = await fetch('https://api.scavio.dev/api/v1/search', {
method: 'POST', headers: SH,
body: JSON.stringify({ query, platform: 'reddit', country_code: 'us' })
}).then(r => r.json());
const tickers = {};
const skip = new Set(['THE','AND','FOR','ARE','NOT','YOU','ALL','CAN','HAS','NEW']);
for (const r of (data.organic_results || []).slice(0, 10)) {
const text = `${r.title || ''} ${r.snippet || ''}`;
for (const m of text.matchAll(/\b[A-Z]{2,5}\b/g)) {
if (!skip.has(m[0])) tickers[m[0]] = (tickers[m[0]] || 0) + 1;
}
}
Object.entries(tickers).sort((a,b) => b[1]-a[1]).slice(0,5)
.forEach(([t,c]) => console.log(` $${t}: ${c} mentions`));
}
scan('wallstreetbets stock picks').catch(console.error);Salida esperada
JSON
wallstreetbets stock: 8 tickers found
stocks investing: 6 tickers found
investing portfolio: 5 tickers found
Total unique tickers: 14
Top tickers by mention volume:
$NVDA | 7 mentions | sentiment: +0.65 | BULL
$TSLA | 5 mentions | sentiment: -0.40 | BEAR
$AAPL | 4 mentions | sentiment: +0.33 | BULL
$AMD | 3 mentions | sentiment: +0.50 | BULL
$SPY | 3 mentions | sentiment: +0.20 | NEUTRAL
=== Reddit Stock Watchlist (8 tickers) ===
Cost: $0.015 (3 queries)