No-code strategy + multi-broker fire
Zerodha/Angel/Upstox keys stay with the trader. Rules fire; we never hold funds.
From order book to algorithm — we make institutional-grade trading accessible for every serious trader in India.
India's retail trading revolution is here. But most traders lose because of emotions, delays, and lack of automation. Institutions win using algorithms. We believe small trading desks, freelance quants, and stock traders deserve the same power.
Saral Algo Trading bridges the gap between raw market data and automated execution — with vernacular tools, broker-agnostic systems, and hyperlocal support.
“We don't just give strategies. We give execution confidence.”
| Segment | Challenges | Saral Role |
|---|---|---|
| Retail Stock Traders | Emotional trades, no backtesting, missed entries | Automated signals + risk rules |
| Algo Trading Enthusiasts | Complex coding, broker API issues | No-code strategy builder + templates |
| Proprietary Trading Firms | Multiple accounts, coordination overhead | Centralized execution & reporting |
| Quant Companies | Data fragmentation, slow prototyping | Fast backtesting + live deployment |
| Trading Communities / Local Clubs | No shared infrastructure | Group brokerage + copy-trading modules |
Result: 3x higher adoption than generic trading platforms.
| Module | Function | Who Uses It |
|---|---|---|
| No-Code Strategy Builder | Drag-drop indicators (RSI, MACD, VWAP) | Retail traders |
| Multi-Broker Execution Engine | Zerodha, Angel, Upstox, Groww API connectors | Prop desks |
| Paper Trading + Backtester | 10-year historical data, slippage modeling | Quants, students |
| Risk Management Dashboard | Daily loss limits, position sizing alerts | Trading clubs |
| Automated Journaling | Auto-imports P&L, tags mistakes | Individual traders |
| Vernacular Order Entry | Voice-assisted trade placement (Hindi, Tamil, Telugu) | Semi-urban users |
| Algo Marketplace | Buy/sell community-built strategies | All segments |
Integrations: Python, TradingView Webhooks, Excel-based triggers, Telegram bots.
📞 Saral Trader Helpline (9 AM – 11 PM) — because when an algo fails, a human must answer.
| Use Case | Before Saral | After Saral |
|---|---|---|
| Retail trader in Indore | Missed breakout trades, manual errors | Telegram signal → auto-execution → 22% better fills |
| Quant team of 3 people | 2 weeks to deploy a strategy | 2 hours (strategy builder + backtest) |
| Local trading club (50 members) | No coordination, mixed P&L | Copy-trading leader's algo across 30 accounts |
| Broker partner | Low retail algo adoption | 40% of new clients enable auto-trades within 1 month |
85% of retail traders lose money — primarily due to lack of discipline & speed.
Algo trading increases win probability by 30–40% (reduces emotion, latency).
But 99% of traders can't code — and existing platforms are English-heavy, expensive, and complex.
Saral Algo Trading fixes this with: No coding required | Indian language support + phone support
We're not selling a tool. We're preventing financial burnout.
| Service Type | Details |
|---|---|
| For Stock Traders | Automated signals, journaling, risk rules, paper trading |
| For Algo Traders | No-code builder, 150+ indicators, multi-broker live trading |
| For Quant Companies | API access, tick data, backtesting infra, co-location support |
| For Trading Firms | Multi-account manager, risk consolidation, white-label dashboards |
| Marketing Support | Lead gen, workshops, referral programs, performance contests |
| Operational Support | Daily health checks, order audit, human helpline |
Retail desks still click orders by gut. These projects give them institutional execution without a prop-shop budget.
Zerodha/Angel/Upstox keys stay with the trader. Rules fire; we never hold funds.
Agent blocks size if daily drawdown or news blackout hits. Voice alerts in Hindi on the desk.
Vernacular webinars → paper-trade sandbox → paid execution. Compliance-safe education, not tips.
Club’s name on the dashboard, shared brokerage, copy-trading with audit log.
Which setups actually fill. Clubs drop the noisy strategies and keep the ones with fill-rate.
We are looking for: Beta traders | Broker partners | Quant freelancers | Campus ambassadors
“From instinct to algorithm — Saral makes every trader smarter.”
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