AIShare was born from a simple idea — every retail trader in India deserves access to the same analytical tools that institutional desks have. Our AI does the heavy lifting so you can focus on making informed decisions.
Our mission is to give Indian retail traders an unfair information edge.
India now has 15+ crore demat accounts, T+0 settlement, and a generation that learned the market on YouTube. What's still missing is cheap, trustworthy tooling that treats retail like professionals. AIShare is our attempt — AI-picked swing ideas, paper-trading before real money, and reasoning you can challenge. Education only, never tips.
⚠ Important Regulatory Notice
AIShare is NOT registered with SEBI as an Investment Adviser (IA) under the SEBI (Investment Advisers) Regulations, 2013 or as a Research Analyst (RA) under the SEBI (Research Analysts) Regulations, 2014. We do not provide personalised investment advice. Always consult a SEBI-registered professional before making investment decisions.
20+
Stocks Scanned Daily
50+
Technical Indicators
6
Data Sources
24/7
AI Monitoring
Founder
I built AIShare because every retail swing trader I know — myself included — spends hours stitching together charts, news, and Twitter threads before a single entry. The tools institutions take for granted (fast indicator math, AI-written trade theses, a paper-trading loop) should not be a premium most Indian retail traders can't afford.
AIShare is founder-led today. We'll introduce teammates here as they join — no stock photos, no placeholder titles.
“A stop loss is not pessimism — it is the price of staying in the game.”
Every AI pick ships with an ATR-based stop and a risk/reward estimate. Capital preservation beats chasing moonshots.
“If you can't challenge the reasoning, it's a tip — not a trade.”
No black-box signals. Every thesis is written in plain English so you can argue with it before you act on it.
“The edge is in the question the crowd didn't bother to ask.”
We ship weekly, read the feedback, and keep prodding the market — new indicators, new screeners, better explanations.
“We win only when retail traders get smarter, not louder.”
No referral schemes, no paid tips, no broker kickbacks baked into the product. Subscriptions are our only revenue.
One sentence per tool — what it does, why it earned a spot in the stack.
AI trade thesis
Picked for fast, low-cost reasoning that can turn a candle chart plus indicator snapshot into a paragraph a retail trader can challenge.
System of record
Chosen for boring reliability — user accounts, subscriptions, paper-trade history, and cached analyses live here with strict schemas via Prisma.
Primary market data
Free, wide NSE/BSE coverage for OHLCV with a long track record — good enough to back daily and swing timeframes without a per-call meter running.
Fallback feed
Kicks in when Yahoo Finance rate-limits or returns stale data, so the dashboard keeps loading prices instead of showing a spinner of doom.
Broker integration
An Indian broker with a documented API — lets users paper-trade AIShare picks and, when they opt in, push live orders without leaving the app.
Subscriptions
India-first payments with UPI and cards, so subscribing doesn't require a foreign card or currency conversion — just the stack retail already uses.
AIShare started as a weekend project — one founder frustrated that NSE swing traders still copy-pasted RSI values into spreadsheets while US retail had Finviz, TradingView screeners, and ChatGPT co-pilots baked in. The thesis: ship the missing Indian equivalent, indicators plus AI reasoning, in one tab.
Phase 1 dashboard shipped with NIFTY 50 coverage — market overview, top gainers and losers, AI-picked swing ideas, and a trending-stocks strip. Built on Next.js 14 with server components so the first paint shows real quotes, not skeletons that hang for three seconds.
Market data pipeline went live with Yahoo Finance as primary and Twelve Data as fallback, covering NSE and BSE OHLCV. Added 30+ candlestick patterns and core indicators (RSI, MACD, EMA, Bollinger Bands) computed on the server so users see analysis, not a spinner waiting on a third-party API.
Gemini 2.5 Flash wired into the trade-thesis generator with an OpenAI GPT-4o-mini fallback. Every AI pick now ships with a written rationale you can challenge, an ATR-based stop-loss suggestion, and a risk/reward estimate — never a naked buy/sell without the reasoning.
Angel One SmartAPI broker integration landed for paper trading and live order placement, alongside a Razorpay-backed subscription flow. Platform opened to Indian retail swing traders — education only, no tips, paper-first defaults so you stress-test an idea before putting real rupees on the line.
As we get featured, you'll see it here.
Paper-trade first, challenge the AI's reasoning, then decide. No credit card for the ₹0 plan. Education only, never tips.