Main Features
Range Levels Trading Strategy for TWM Platform
$0 / Free
TWM
Extensions
STRATEGY
Range Levels
Session Trading
Strategies
This extension brings session-based range trading into TWM. Define a trading window, capture the range, and let the strategy execute your chosen logic: bounce plays, classic breakouts, or reversions.
Instead of a “black box,” you get a transparent and configurable framework. Adjust entries, stops, profit targets, and filters—all in relation to the defined range. Explore how markets behave in different sessions (US, Europe, Asia) and adapt the rules to your style.
It’s not about giving you something static—it’s about providing a concept, an edge, and a toolkit you can refine and enjoy inside TWM.
Markets are alive with rhythm and structure. Ranges form, break, and revert—again and again. This strategy is built around capturing that behavior and giving you the tools to experiment with it.
We are not selling you a finished, static system. We are offering the idea, the edge, and the framework that lets you explore bounce plays, breakouts, and reversions across sessions. Inside TWM, it becomes your laboratory—transparent, flexible, and entirely under your control.
This is not about promises—it’s about capability. The real value is in the inspiration and the technical foundation that allows you to shape a system you understand, trust, and enjoy.
Description
This extension is built around the idea that every trading session defines a range. That range becomes the foundation for decisions: whether price will respect it, break through it, or revert back inside.
Once a session window is defined—be it US hours, Europe, or Asia—the strategy captures the high and low of that period. From there, you can choose how trades react when price interacts with those levels:
- Bounce Entries anticipate respect of the boundaries. If price touches the bottom of the range, the strategy looks to buy; if it touches the top, it looks to sell.
- Breakout Entries anticipate continuation. When price pushes through the range, the system enters in the direction of that breakout.
- Reversion Entries anticipate failure of the breakout. After a push beyond the range, it positions for a return back inside.
Each order type—limit or stop market—shapes the character of the entry, from aggressive confirmation to more controlled participation.
All targets, stops, and breakeven rules scale in proportion to the range itself, meaning risk and reward adapt dynamically to market conditions. On top of this, several filters can reshape behavior:
- Directional filters allow you to align or fade the broader session bias.
- Range filters ensure the setup only activates within certain volatility conditions.
- Start position filters respond to where the market opens relative to the range.
- Signal skipping helps avoid the “first touch” trap that often produces false moves.
The result is not a single rigid playbook, but a framework of range interactions: bounce, break, or revert. By combining session windows, entry styles, and filters, you can build very different personalities out of the same core concept—conservative range fades, aggressive breakout chases, or contrarian snap-backs.
It is a modular idea: one piece of logic, many possible adaptations.
Flexible Session Control
Define trading days, hours, and even extend sessions—experiment across US, Europe, or Asia.
Multiple Entry Logics
Switch between bounce and breakout styles, with both limit and stop market options.
Advanced Filters
Apply direction, position, min/max range, and skip filters to refine your signals.
Dynamic Risk Management
Stops, targets, breakeven, and trade caps all scale with the defined range.
Session-Aware Design
Every trade is anchored to a clearly defined time window. You can experiment with US, European, or Asian sessions, including after-hours, to uncover how markets behave differently across the globe.
Smart Signal Filtering
With options like “Skip Signals,” you can automatically ignore the first test of a level—often the weakest—helping reduce noise and false triggers.
Trade Management Control
From closing all positions at session end to limiting the number of trades taken, you control exactly how the strategy behaves during each window.
Built for Exploration
The logic isn’t locked. Every parameter—entries, exits, filters—is transparent and configurable, giving you the freedom to test, adapt, and refine until it fits your style.
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FAQ
Do you have any more questions about our Extension? Let's see if we already have the answer.
Please read the FAQ below.
Is this strategy pre-optimized?
No. It’s a configurable framework. You get the logic and controls—you decide how to tune it. However we do provide proof of concept. Please review our results but note that they have been created at a certain point in time.
Which markets does it work on?
It can be applied to futures, forex, crypto, or equities—anything available in TWM but its up to you to find these markets. Our proof of concept tests that we showcase took place on crypto BTC5 min.
Do I need coding skills?
No. Parameters are exposed in TWM’s interface. But if you are a developer, the full codebase is accessible for customization. However if you do know how to code you are free to extend this strategy as it is provided open source.
What timeframes are best?
Typically intraday (1m–15m), but you can experiment with higher timeframes.
Can I use multiple sessions in one day?
Yes and no, you can use 1 session only but you can adjust start and end times.
How are stops and targets calculated?
They are percentages of the defined session range.
What is “Skip Signals”?
It ignores the first touch or breakout of a level, filtering out likely false signals.
What if I want only a limited number of trades?
Use MaxTradesAmount to cap trades per session.
Does it auto-close trades at session end?
Yes, if you enable the CloseAtEndOfTradingPeriod option.
Is this a plug-and-play money-making machine?
No. It’s a framework, not a guarantee. The value is in exploration, testing, and adapting it to your own edge.
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