كل الفرص

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78درجة
r/algotrading
SaaS subscription
Build

Political Catalyst Signal Terminal

Build a SaaS platform that converts political statements, schedules, holdings disclosures, and news into tradable event signals tied to public equities. The strongest value is not raw data access but ranking which mentions have historically moved specific stocks and how quickly that effect tends to fade.

ارتفاع بنسبة +457%5 قنواتاتجاه الإشارات خلال 30 يومًا: latest 3, peak 4, 30-day series
عرض على Reddit
اكتُشف 4 يوليو 2026

لماذا هذا مهم

You see public endorsements and policy-related comments move certain stocks, but turning that intuition into something tradable is messy. You end up stitching together feeds, writing parsers, and checking charts manually just to answer basic questions like which names react, how fast they move, and whether the effect is still alive. Generic market data tools give you prices, but they do not tell you when a meaningful mention happened or how to rank it against prior examples. What you really want is a single place where the event is detected, linked to the right stock, and immediately compared with historical reactions so you can act before the move is gone.

  • · مُصمم لـ Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery..
  • · طريقة تحقيق الدخل الأكثر ترجيحاً: SaaS subscription.

الألم · السرد

You see public endorsements and policy-related comments move certain stocks, but turning that intuition into something tradable is messy. You end up stitching together feeds, writing parsers, and checking charts manually just to answer basic questions like which names react, how fast they move, and whether the effect is still alive. Generic market data tools give you prices, but they do not tell you when a meaningful mention happened or how to rank it against prior examples. What you really want is a single place where the event is detected, linked to the right stock, and immediately compared with historical reactions so you can act before the move is gone.

تفصيل الدرجة

شدة المشكلة8/10
الاستعداد للدفع6/10
سهولة البناء5/10
الاستدامة5/10

إشارة السوق

اتجاه الإشارات خلال 30 يومًاالذروة: 4
Sparkline: latest 3, peak 4, 30-day series
القنوات المغطاة
algotradingfront_pageproductivityChatGPTsaas

خطة الذهاب إلى السوق

المستخدم المستهدف بالضبط

Independent traders and one-person research shops already using scanners and APIs to trade event-driven U.S. equities.

عدد المستخدمين المتوقع

~50K active globally

قناة الاكتساب الأساسية

Twitter dev community

مرتكز السعر

$79/month

المرحلة المهمة الأولى

15 paying subscribers who connect at least one watchlist and return weekly within 30 days

نطاق المنتج الأدنى القابل للتطبيق · أسبوع إلى أسبوعين

الأسبوع الأول
  • Set up ingestion for one public statement source and one market data API
  • Create a basic classifier that detects company or CEO mentions and maps them to tickers
  • Store events with timestamp, source type, confidence, and detected sentiment
  • Build a simple chart view with event markers on daily and intraday price data
  • Define initial performance metrics such as 1-day, 5-day, and 20-day abnormal return
الأسبوع الثاني
  • Add a watchlist dashboard ranking events by historical reaction strength
  • Implement email or webhook alerts for new high-confidence mentions
  • Add filters by market cap, sector, and prior event count
  • Generate a symbol-level report showing average reaction time and decay
  • Launch a lightweight billing page and onboarding flow for beta users
ميزات MVP: Automated ingestion of public statements, schedules, and related news · Ticker mapping with confidence scores and sentiment classification · Chart overlays showing mention time, reaction time, and move amplitude · Watchlists and real-time alerts for newly detected mentions · Backtest dashboard by symbol, sector, market cap, and valuation profile

التمايز

الحلول الحالية
YfinanceMassiveDatabentoFMP
منظورنا
There is no clear all-in-one product in the discussion that ingests political or executive statements, maps them to securities, annotates charts, and quantifies whether the event still carries predictive value.

لماذا قد يفشل هذا

الرد الذاتي — أهم إشارة ثقة

  1. 1The observed moves may be too inconsistent across symbols to support paid retention once users test it seriously.
  2. 2Users with the highest willingness to pay may prefer to keep their own pipelines rather than trust a third-party signal layer.
  3. 3Data quality problems in source ingestion and ticker resolution could create too many false alerts for a niche product.

ملخص الأدلة

كيف قام الذكاء الاصطناعي بتجميع هذه الرؤية — بدون اقتباسات حرفية

The discussion repeatedly centered on building an event stream from statements and then validating whether mentions still move stocks. Several participants focused on timing, chart annotations, and symbol-specific response behavior, while others debated whether the effect still exists at all. That combination points to demand for a tool that does both detection and outcome measurement rather than just providing raw feeds.

1 1 منشور تم تحليله5 5 قنواتAI · مجمع بواسطة الذكاء الاصطناعي · بدون اقتباسات حرفية

خطة العمل

تحقق من هذه الفرصة قبل كتابة الكود

الخطوة التالية الموصى بها

ابنِ

إشارات طلب قوية. ألم حقيقي واستعداد للدفع — ابدأ ببناء نموذج أولي.

مجموعة نصوص صفحة الهبوط

نصوص جاهزة للنسخ، مبنية على لغة مجتمع Reddit الحقيقية

العنوان الرئيسي

Political Catalyst Signal Terminal

العنوان الفرعي

Build a SaaS platform that converts political statements, schedules, holdings disclosures, and news into tradable event signals tied to public equities. The strongest value is not raw data access but ranking which mentions have historically moved specific stocks and how quickly that effect tends to fade.

لمن هو

لـ Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.

قائمة الميزات

✓ Automated ingestion of public statements, schedules, and related news ✓ Ticker mapping with confidence scores and sentiment classification ✓ Chart overlays showing mention time, reaction time, and move amplitude ✓ Watchlists and real-time alerts for newly detected mentions ✓ Backtest dashboard by symbol, sector, market cap, and valuation profile

أين تتحقق

شارك رابط صفحتك في r/r/algotrading — هذا هو المكان الذي اكتُشفت فيه هذه النقاط بالضبط.

أنشئ حساباً لفتح التحليل العميق الكامل

استراتيجية GTM، نطاق MVP، أسباب الفشل المحتملة، ومجموعة نصوص ActionPlan. يمنحك التسجيل المجاني 10 مشاهدات تفصيلية/شهر.

Report & PRDBUSINESS

فرص أخرى في نفس الموضوع

مجمعة تلقائيًا بواسطة الذكاء الاصطناعي من مناقشات ذات صلة

الأسئلة الشائعة

من يعاني من هذه المشكلة؟
Active retail traders, small prop teams, and independent quantitative researchers who trade event-driven U.S. equities and want faster signal discovery.
هل هذه فرصة حقيقية؟
سجلت هذه الفرصة 78/100 في المقياس المركب لـ Pain Spotter (شدة المشكلة، الاستعداد للدفع، الجدوى الفنية، والاستدامة). تحقق أكثر قبل تخصيص وقت هندسي لها.
كيف يجب أن أتحقق من ذلك؟
أجرِ 5 محادثات لاكتشاف العملاء مع الجمهور المستهدف، وانشر صفحة هبوط مع قائمة انتظار، وتحقق من المنشور المصدر المرتبط بحثًا عن أي نشاط حديث قبل البدء في البناء.