If you have been looking at no-code algorithmic trading on Indian markets, you have probably come across both saral.money and Zerodha Streak. They sit in the same broad category but they make different choices, and the right pick depends on what you are trying to build.
This guide compares the two on the criteria that matter for retail systematic investors: how much history the backtest covers, how expressive the strategy builder is, how the platforms handle realism (corporate actions, survivorship bias, transaction costs), and where each one fits in the broker landscape.
At a glance
| Dimension | saral.money | Zerodha Streak |
|---|---|---|
| Strategy builder | Visual DAG pipeline (universe, rules, output as connected nodes) | Block-based condition builder |
| Backtest history | 15+ years of NSE and BSE | Typically 1 to 5 years, depends on instrument |
| Survivorship bias | Point-in-time universe, includes delisted stocks | Current constituents only |
| Corporate actions | Splits, dividends, bonus issues handled | Limited handling |
| AI strategy assistant | Yes (natural language to strategy flow) | No |
| Broker support | Dhan today, more coming | Zerodha only |
| Paper trading | Yes, on live market data | Yes |
| Live execution | Yes (open beta) | Yes |
| Pricing | Free during open beta | Subscription tiers from the Streak website |
| Best for | Multi-rule equity strategies, factor investing, longer backtests | Short signal-based intraday and swing rules on Zerodha |
How the strategy builders differ
Streak uses a block-based builder. You pick a stock or basket, add condition blocks (price-above-SMA, RSI-below-threshold, and so on), and the platform combines them with AND or OR logic. This is fast to learn and works well for the case Streak optimises for: a small number of conditions, evaluated on a tight schedule, fired against the Zerodha order book.
saral.money uses a visual DAG (directed acyclic graph) pipeline. A strategy is composed as a sequence of nodes: configuration, universe, rules (filters, rankings, stop losses, target rules), and a portfolio output. Multiple rules can chain. The same strategy can use both a fundamental filter (PE < 20 AND ROE > 15) and a technical ranking (@ROCP(close, 252)) and a position-sizing rule (1 / @ATR(14)), all in one pipeline that the backtester evaluates end to end.
The DAG approach is more expressive for factor strategies and multi-rule pipelines. The block-based approach is simpler for single-condition signals.
Backtest depth is the bigger difference
The single largest practical difference is backtest history.
saral.money runs against 15+ years of NSE and BSE data. The universe is point-in-time: the historical Nifty 500 of 2012 had different constituents from the index of 2025, and saral.money reconstructs the universe as it actually existed on each rebalance date. Stocks that delisted (DHFL, YESBANK during its 2020 near-collapse, RCOM, JETAIRWAYS) are included in the historical universe. Corporate actions (splits, bonus issues, dividends) are applied correctly.
Streak’s backtest typically covers a much shorter window. The practical consequence: a momentum strategy that looks strong on a 2-year Streak backtest may be sitting entirely inside the 2022 to 2024 Indian bull run. The same strategy on saral.money’s 15-year run includes 2008, 2011, 2018, and the 2020 COVID crash, and those years are usually where strategies reveal their actual drawdown profile.
If you are testing a long-horizon equity strategy, survivorship bias and history length matter. If you are testing a short-term technical rule that you plan to revalidate every quarter, they matter less.
Where Streak wins
If you are already a Zerodha customer and you want the simplest possible path from idea to live execution, Streak is the right choice. The integration is tight: orders fire through Zerodha’s API with no separate broker setup. The block-based builder is faster for single-condition strategies. And the strategy marketplace makes it easy to subscribe to someone else’s signal without building your own.
For intraday and short-swing rule-based trading, especially on Zerodha, Streak is the more direct fit.
Where saral.money wins
saral.money is built for systematic equity investing on a longer horizon. Multi-factor strategies (combining momentum, quality, value), survivorship-bias-free backtests, named Indian tickers in your rule expressions, and the AI assistant that translates plain English into a strategy flow you can then edit.
The DAG editor is more expressive than block-based builders for any strategy that combines more than two or three conditions. The longer backtest history makes the difference for any factor or value strategy where the edge only shows up across a full market cycle.
If you are building a portfolio strategy with monthly or quarterly rebalancing on the Nifty 500, Nifty Midcap 150, or a custom Indian universe, saral.money is the more capable platform.
Which should you pick?
Pick Zerodha Streak if you are an active Zerodha user running short-horizon, single-condition strategies and value the simplicity of a block-based builder.
Pick saral.money if you want to backtest multi-rule equity strategies against 15+ years of survivorship-bias-free NSE and BSE history, run factor or smart-beta strategies, or use an AI assistant to scaffold a strategy from plain English. saral.money is currently in open beta.
What to try next
Launch the saral.money console to get access to the open beta, or browse the strategy templates to see what the platform produces. The factor-based templates (quality, momentum, multi-factor) are good starting points for the long-horizon equity case the comparison above highlights.