You have a trading idea, but you do not want to place every order manually. You may also want to know whether a strategy is working, what its biggest loss was, and which trades are open. The 1LyAlgos Dashboard brings these tasks together. It lets you build or select a strategy, test it, run it, and monitor its results from one place.
The 1LyAlgos Dashboard is the main control screen for Alice Blue’s 1LyAlgos platform. It has four sections: My Strategies, Pre-built Strategies, Create Strategies, and Open Positions. You can test a strategy on historical data, run it with virtual trades, deploy it for live execution, and track details such as net profit, drawdown, and running P&L.
The 1LyAlgos Dashboard is the central screen for managing your algo trading activity on Alice Blue’s platform. You can use it to track strategies you created, review ready-made strategies, build new rules, and monitor open trades.
Algo trading means using pre-set rules to place trades. For example, a trader may create a rule to buy when a moving average crossover occurs and exit when a stop-loss or time limit is reached. Once the strategy is live, the system follows those rules instead of waiting for the trader to place every order manually.
1LyAlgos is designed for users who want to create strategies without writing code. The platform also provides ready-made strategies that users can review and subscribe to, depending on the available terms and eligibility.
The dashboard has four main sections:
You can access 1LyAlgos in either of these ways, according to Alice Blue’s current product guidance:
The dashboard follows a simple testing path: create or select a strategy, test it, review the results, and then decide whether to run it live.
You can choose between a pre-built strategy and a strategy you create yourself.
A pre-built strategy may be useful if you want to start by studying an existing approach. Create Strategies is more suitable if you already have a clear entry, exit, and risk-management plan.
Before using a ready-made strategy, check:
Do not select a strategy only because its past profit is high. A strategy that made a large profit may also have taken large risks.
A backtest applies your trading rules to historical market data. It shows how the strategy would have performed in the past.
For example, a backtest may show 120 trades, a 55% win rate, and a maximum drawdown of ₹9,500. These numbers help you understand the strategy’s past behaviour. They do not guarantee future returns.
A forward test, also called paper trading, runs the strategy in current market conditions without using real money. It helps you observe how signals and orders behave in a live market.
The result may differ from a backtest because of price movement, order execution, liquidity, slippage, and trading costs.
If the strategy performs as expected and its risk fits your trading plan, you can move it to Live mode. Once active, the strategy can place trades automatically according to its rules.
Start with a small position size. An automated strategy can still lose money if the market moves sharply or if the strategy logic is unsuitable.
Open a strategy from My Strategies to check:
You can also use the Open Positions section to track trades that are currently active.
The following example is for explanation only.
Riya has ₹50,000 for trading. She creates an intraday strategy for an index derivative and tests it over six months.
Metric | Result |
Total trades | 120 |
Winning trades | 66 |
Win rate | 55% |
Net profit before charges | ₹18,000 |
Longest losing streak | 6 trades |
Maximum drawdown | ₹9,500 |
The win rate is calculated as:
Win rate = 66 / 120 × 100 = 55%
The drawdown is more important to Riya than the headline profit. Her maximum drawdown is ₹9,500.
₹9,500 / ₹50,000 ×100= 19%
This means the strategy once fell by 19% from its highest point during the test. Riya must decide whether she can tolerate such a fall before using the strategy with real money.
Riya runs the same strategy in paper-trading mode for four weeks. It records 18 trades and a notional profit of ₹2,400.
The result is lower than the backtest. This can happen because the backtest may not fully reflect live order execution, charges, delays, or slippage.
Riya later starts with one lot. For illustration, assume:
Her running profit before charges is:
(₹132−₹120)×75=₹900
The actual result may be different after brokerage, taxes, exchange charges, slippage, and exit price. The quantity used here is only an example. Confirm the current lot size of the contract before using any calculation.
Do not look at net profit alone. Read the performance page in this order:
Metric | Meaning | Why it matters |
Maximum drawdown | The largest fall from a previous peak | Shows the potential loss during a bad period |
Longest losing streak | The highest number of consecutive losing trades | Helps you prepare for a run of losses |
Net profit | Total gains minus total losses before or after selected costs | Shows the overall result of the test |
Win rate | Percentage of profitable trades | Helps you understand how often the strategy wins |
Equity curve | A line showing how the account value changed | Shows whether returns were steady or irregular |
Profit factor, if available | Gross profit divided by gross loss | Helps compare total winning and losing amounts |
A strategy can have a high win rate and still lose money if its losing trades are much larger than its winning trades.
This section contains strategies created by you. They are divided into:
The performance page can show win rate, net profit, winning and losing streaks, equity curve, drawdown, and candle-wise signals. You can also download trade details and share a read-only Strategy Link.
This section includes ready-made strategies provided through the platform.
Create Strategies lets you build your own strategy through the platform interface. You can select conditions, define rules, and test the result without writing code.
You remain responsible for deciding whether the rules make sense. No-code means you do not need programming skills; it does not mean you can skip market knowledge or risk controls.
Open Positions gives you a live view of active trades. It can show:
This section helps you see the combined exposure of your live strategies.
Parameter | Pre-built Strategies | Create Strategies |
Who builds the rules? | Platform or strategy provider | You |
Time needed | Lower | Higher |
Control over logic | Limited to listed choices | Greater control |
Best for | Users studying or using ready-made approaches | Users with their own trading plan |
Main question to ask | Does this strategy fit my risk? | Does my logic work across different market conditions? |
Alice Blue also describes a Marketplace route for strategy providers and users. Confirm the current difference between Marketplace and Ready to Subscribe options before adding commercial or approval-related details to a published page.
A dashboard makes execution easier. It does not make trading risk-free.
A strategy may look good on historical data but behave poorly in the future. The market may change, or the test may not reflect live fills and trading costs.
If the strategy has a wrong condition, the system may continue placing trades whenever that condition appears. Automation can repeat a mistake faster than manual trading.
Brokerage, securities transaction tax, exchange charges, GST, stamp duty and slippage can reduce the actual result. Check whether a performance figure includes these costs.
Expiry-day and option-selling strategies can lose money quickly when the underlying price moves sharply. Use only the amount of capital you can afford to lose.
SEBI’s February 2025 circular sets a framework for safer retail participation in algorithmic trading. It covers broker responsibilities, algo identification, and controls around API-based trading. SEBI later issued an implementation timeline extension in September 2025.
Regulatory requirements can change. Check the latest SEBI, exchange, and broker information before using an algo platform.
It can be useful for beginners who want to learn how rule-based trading works. The Backtest and Forward Test options let you study a strategy before placing live orders.
It may suit you if:
It may not suit you if:
One good result can be caused by a favourable market phase. Test the strategy under different market conditions.
A strategy may have a positive result and still record six or more losses in a row. Make sure you can handle that possibility.
Profit without the time period, capital used, charges, and drawdown does not tell you enough.
Lot sizes can change. Confirm the current contract details before estimating profit or loss.
Several strategies may trade the same market direction. Add up your total exposure instead of checking each strategy separately.
Frequent changes make it difficult to know whether the original strategy worked. Review a reasonable sample of trades before making changes.
The 1LyAlgos Dashboard gives you one place to create, test, run, and monitor trading strategies. My Strategies tracks your Backtest, Forward Test, and Live strategies. Pre-built Strategies offers ready-made options, Create Strategies lets you build rules without code, and Open Positions shows your active trades. Use the platform in stages: test first, observe the results, then start small. Pay attention to drawdown, losing streaks, and trading costs, not just the profit figure.
It is the main screen for managing strategies on Alice Blue’s 1LyAlgos platform. It shows your strategies, test results, and open positions.
You can access it through the 1LyAlgos website or through the relevant Strategies section in Alice Blue’s ANT platform. Check the current product navigation because menu names may change.
No. The Create Strategies section uses a visual interface. You can select conditions and define rules without writing code.
Backtesting applies rules to historical market data. Forward testing runs the rules in current market conditions with virtual trades instead of real money.
Yes. A tested strategy can still lose money when market conditions change, orders are filled at different prices, or the rules do not work as expected. Start small and review the risks before going live.
Retail algo trading is governed by SEBI and exchange rules. The applicable framework covers areas such as broker controls, API access, and identification of algo orders. Always check the latest official requirements before trading.
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