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PipsGrowth
Logic before code

Strategy Logic Builder Wizard

Design real bot logic before code: platform, markets, signals, LLM/ML, entries, confirmations, risk, exits, execution, and validation.

Wizard steps

1) Define symbol and account, 2) choose market/session/regime, 3) compose signals and confirmations, 4) set risk/execution, 5) export a code-ready prompt.

Implementation platform

Smart scenario templates

Market universe

Choose all markets the logic is designed for. Multi-symbol systems need correlation and exposure controls.

Timeframes

Separate execution timeframe from context timeframe when possible.

Sessions and timing

Session logic defines when the bot can trade, avoid rollover, and close positions.

Strategy families

Pick one main thesis and optional secondary modules. Too many unrelated families usually means overfitting.

Target regimes

Strategies should know when they are allowed to trade.

Required data inputs

Data availability defines what can be built. DOM/order flow is not reliable for every forex broker.

Signal modules

Signals create trade ideas. They are not risk controls or exits.

Indicator suggestions: simple to advanced

Choose indicator modules as building blocks. Keep each indicator tied to a measurable rule and avoid stacking duplicates.

LLM and ML modules

AI modules should score, classify, summarize, or explain. They should not bypass deterministic risk rules.

Python system ideas library

Select Python modules the IDE should plan for research, validation, execution, logging, and monitoring.

Entry model

Entry is separate from signal. A signal can be entered by close, pullback, retest, limit, stop, or staged logic.

Confirmations

Confirmations reduce weak setups. They must be explainable and measurable.

No-trade filters

These filters block entries even when the signal is present.

Risk model

Risk is its own layer. It decides if the bot is allowed to trade and how much loss is acceptable.

Position sizing

Sizing converts risk into volume. Keep martingale sizing heavily warned.

In-trade management

Management adjusts an open trade; exits define why the trade closes.

Exit model

Exit rules are separate from risk. They describe planned strategy invalidation or target completion.

Scaling, pyramid, grid, hedge

Optional advanced modules. Use strict caps and clear disable conditions.

Testing and validation

A plan is invalid without validation design.

Execution and broker constraints

Execution constraints decide whether good research can survive live trading.

Strategy Builder Wizard for Automated Trading Bots