No-code algo strategy builder

What is a no-code strategy builder?

A no-code strategy builder lets you express trading rules as configured blocks instead of source code. You place a condition, set its parameters, connect it to what should happen next, and the platform turns that arrangement into something it can execute identically every time.

The point is not that coding is hard. The point is that a strategy written as blocks is unambiguous. A rule in your head drifts between sessions; a rule in a block does not. That is what makes it testable, and a strategy that cannot be tested cannot be improved except by guessing.

Strategy Builder: entries, exits, risk and multi-leg triggers

The general builder covers the vocabulary most strategies need:

• Entry conditions — indicator and price conditions, and combinations of them.
• Exit conditions — stop loss, take profit, trailing stop and partial take profit, so a position can be managed rather than only opened and closed.
• Risk settings — position sizing, a leverage cap and a minimum stop distance, applied per strategy.
• Multi-leg triggers — a sequence of conditions that must occur in order, which is how most real setups work and what a single “if” statement cannot describe.
• Filters and limits — directional filters, day-trade limits and loss-chain limits that stop a bad session from compounding.

Smart Strategy Builder: detectors a one-line condition cannot express

Some setups are not conditions at all, they are states. “An order block formed, price left it, and has now returned to it” cannot be written as a threshold comparison, because it depends on what happened earlier and on what the strategy has already seen.

Smart Strategy Builder provides these as stateful detector blocks: order blocks, liquidity levels and sweeps, break of structure and market structure shift, SMT divergence across correlated markets, PSP divergence, and True Day Open filters. They carry memory between candles, which is exactly what the general blocks cannot do.

These detectors are described in full on the ICT and SMC page, including what AKQX specifically means by PSP and True Day Open, since those terms have no single agreed public definition.

Starting from an existing strategy

If you would rather start from something that already exists than from an empty canvas, you can open an existing strategy and modify it. The library includes ICT and SMC strategies built on SMT divergence and PSP, and a Donchian breakout. What is on offer changes as features are rolled out, so the Strategy Builder itself is the place to see the current list.

These are starting points for your own testing. They are not recommendations, they carry no claim of being profitable, and the sensible way to use one is to change its parameters to your own market and timeframe and then let a backtest tell you whether your version holds up.

Multi-timeframe logic and deployment states

A strategy can read context on a slower candle and execute on a faster one — for example a detector on a 30-minute chart gating an entry trigger on a 3-minute chart. Live anchor tracking keeps that higher-timeframe reference current as the session develops rather than freezing it at deployment.

Once deployed, each algo reports a state you can read at a glance: running, waiting for a setup, or paused. Deployment goes to paper first. Moving anything to real execution is a separate, explicit action that only applies to crypto and only through your own exchange account.

From builder to backtest to paper

A finished strategy goes to a backtest, scored out of 350 points across profitability, risk, consistency, quantitative checks, hedge-fund-style checks, intelligence and execution quality. It is auto-rejected on negative expectancy, a profit factor below 1.0, drawdown above 30 percent, or a weak overfitting, walk-forward or Monte Carlo score.

Overfitting deserves particular caution in a visual builder, because adding one more filter is so easy. Each filter you add makes the historical curve look better and the strategy slightly less likely to survive anything new. The robustness checks exist specifically to push back on that, and a strategy that only scores well after its ninth filter is telling you something.

After the backtest comes paper trading on live prices, and the drift between the two is the honest measure of how much the simulation flattered you.

What each plan includes

A free account saves 3 strategies, with 10 backtests a month, 1 paper algo, 5 AI requests a month and 1 chart tab. Starter saves 25 strategies with 100 backtests a month and 30 AI requests. Pro Trader, Advanced and Professional all save unlimited strategies, with 500, 1,000 and 2,000 monthly backtests and 200, 500 and 1,000 AI requests respectively. Prices are in rupees and shown in full on the pricing page.

Questions about strategy builder

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