Strategies

Trading strategies are the heart of Stratifyre. A strategy is a set of rules that tells the platform when to buy, when to sell, how much to trade, and how to manage risk – all without writing a single line of code.

Whether you have years of trading experience or you are just getting started, Stratifyre gives you the tools to turn your trading ideas into fully automated systems that execute around the clock.

What is a strategy?

At its simplest, a strategy answers four questions:

1. When should I enter a trade? – The conditions that signal an opportunity (for example, “RSI drops below 30 while price is above the 50-day moving average”).
2. When should I exit? – The conditions that tell you it is time to close a position, whether to lock in profit or cut a loss.
3. How much should I trade? – Position sizing rules that control how much capital goes into each trade.
4. How do I manage risk? – Stop-loss levels, take-profit targets, and account-level safeguards that protect your capital.

You define all of this visually using Stratifyre’s drag-and-drop rule builder, or you can describe your idea in plain English and let the AI Strategy Builder convert it into executable rules for you.

Types of strategies

Stratifyre supports any strategy style you can imagine. Here are the most common approaches traders build on the platform:

Trend following

Trend-following strategies identify the direction of the market and ride the move. They typically use moving averages, MACD, or ADX to confirm that a trend is in place before entering. These strategies perform best in markets that make sustained directional moves.

Example idea: “Buy when the 20-day SMA crosses above the 50-day SMA, and exit when it crosses back below.”

Mean reversion

Mean-reversion strategies bet that prices will return to a historical average after moving too far in one direction. They often use RSI, Bollinger Bands, or statistical measures to find overextended conditions.

Example idea: “Buy when RSI drops below 25 and price touches the lower Bollinger Band, then sell when RSI returns above 50.”

Breakout

Breakout strategies enter positions when price pushes through a key level – like a previous day’s high, a resistance zone, or a chart pattern boundary. Volume confirmation is often used to filter out false breakouts.

Example idea: “Buy when price breaks above yesterday’s high on volume that is at least 1.5 times the 20-day average.”

Momentum

Momentum strategies look for instruments that are already moving strongly and jump on board. They use indicators like Rate of Change (ROC), RSI, or MACD histogram to measure the strength of a move.

Example idea: “Buy the strongest stocks in the S&P 500 ranked by 3-month ROC, and rebalance monthly.”

The strategy lifecycle

Building a strategy in Stratifyre follows a natural progression:

1. Define your idea – Start with a clear trading concept. What market behavior are you trying to capture?
2. Build your rules – Use the visual rule builder or AI Strategy Builder to translate your idea into specific entry, exit, and risk-management rules.
3. Backtest – Run your strategy against historical data to see how it would have performed. Review key metrics like win rate, profit factor, and maximum drawdown.
4. Refine – Adjust your rules and parameters based on backtest results. Stratifyre’s optimization tools help you find the best settings without overfitting.
5. Validate – Test on out-of-sample data and different market conditions to make sure your strategy is robust.
6. Deploy – When you are confident, activate your strategy for live trading.
7. Monitor – Track real-time performance and make adjustments as market conditions evolve.

Tip

Start simple. The most robust strategies often have just a few well-chosen rules. You can always add complexity later once you understand how each piece performs.

What makes Stratifyre different

• No code required. Everything is built through visual forms, dropdowns, and drag-and-drop – or by describing your idea in plain English to the AI builder.
• A broad technical indicator library across trend, momentum, volatility, volume, market structure, Fibonacci, and candlestick pattern categories.
• 15 condition operators including crossing, channel entry/exit, and percentage-based movement detection.
• Dynamic expressions for custom calculations like position sizing and adaptive stop-losses.
• Multi-timeframe support so you can combine signals from different chart resolutions in a single strategy.
• Multi-instrument support to apply one strategy across hundreds of symbols, including built-in baskets like the S&P 500 and NASDAQ 100.

In this section

Page	What you will learn
Creating a Strategy	Step-by-step walkthrough of building a strategy in the UI
AI Strategy Builder	How to use plain English to generate trading rules automatically
Rules	How rules work – conditions, operators, actions, and execution frequency
Expressions	The expression language for custom calculations and dynamic logic
Indicators	Full reference for Stratifyre’s indicator library organized by category
Order Types	Every supported order type and when to use each one
Multi-Timeframe Strategies	Combining signals from different timeframes
Multi-Instrument Strategies	Trading multiple symbols with a single strategy
Zone Definitions	Custom price zone detection for supply/demand, gaps, and structural levels
Strategy Examples	Ready-to-use strategy recipes you can build in minutes