Trading Strategies Reference
What each of the five built-in strategies looks for, and when each one stops working
A reference guide to Quantum's five built-in trading strategies — Trend Follow, Mean Reversion, Breakout, Session Open Range, and Quantum Convergence — plus how multi-timeframe confirmation works and how to build a custom strategy.
Reference guide. This document describes what each strategy does and when it is — and is not — appropriate. Jump directly to the strategy you are using. Reading this before studying a strategy's Edge panel helps you understand why you are seeing particular signals.
Why Five Strategies — Not Five Thousand
TradingView has tens of thousands of community-published strategies. The problem is not finding a strategy — it is knowing which ones actually work. Most community strategies are curve-fitted to historical data. They look compelling on the chart they were built on and fail on any new data. There is no accountability, no walk-forward validation, and no way to know whether the win rate shown is real or retrospective.
Tools like 3Commas offer automated grid trading — a mechanical system that places buy and sell orders at fixed intervals. Grid trading can appear to work in ranging markets, but it has no awareness of what the market is doing. In a trending market, particularly in crypto, a grid bot keeps buying every decline all the way down. It has no concept of a trend, a regime, or when it should stop trading entirely.
Quantum takes the opposite approach. Five strategies. Every one of them documented, walk-forward tested, and equipped with an honest confidence tier in the Edge panel. The goal is not to give you the most strategies — it is to give you strategies you can actually trust and understand.
The Regime Awareness Innovation
Every strategy in Quantum operates with regime awareness baked in. Before surfacing a signal, Quantum checks:
- Multi-timeframe trend — is the higher timeframe trend aligned with the signal direction?
- Confluence strength — do enough independent technical factors agree to justify the signal?
- Strategy appropriateness — is this strategy designed for current conditions?
This is the single most important difference between Quantum and mechanical trading systems. A system that does not know when to stand aside will eventually be destroyed by the market conditions it was not designed for. Knowing when not to trade is as valuable as knowing when to trade.
How to Choose a Strategy
No strategy works in all market conditions. The most common mistake traders make is running a trend-following strategy in a ranging market, or a mean-reversion strategy in a strong trend. Understanding what conditions each strategy needs is as important as understanding its signals.
Quick Reference
| Strategy | Best market condition | Avoid when |
|---|---|---|
| Trend Follow | Strong directional trend | Market is choppy or ranging |
| Mean Reversion | Ranging, low-volatility market | Strong trend is underway |
| Breakout | Price consolidating near key level | High-noise, whipsaw conditions |
| Session Open Range | London or New York open | Outside major session windows |
| Quantum Convergence | Any — uses multiple confirmation layers | Very thin, low-liquidity periods |
Check the Edge panel's historical instances. The instances tab shows you when the strategy worked and when it failed. If all the losses are clustered in a particular period, that tells you something important about when to avoid the strategy.
Multi-Timeframe (MTF) Confirmation
Before diving into individual strategies, it is worth understanding MTF — because it affects how every strategy behaves.
What MTF Does
When MTF is enabled, Quantum checks the trend on a higher timeframe before surfacing a signal on your current timeframe. It compares the current price to the 200-period EMA on the higher timeframe:
| Your timeframe | MTF checks |
|---|---|
| 5 minutes | 1 hour |
| 15 minutes | 4 hours |
| 1 hour | Daily |
| 4 hours | Weekly |
| Daily | Weekly |
If you are on the 1-hour chart looking for a long signal, MTF checks whether price is above the daily EMA200. If the daily trend is bearish, the long signal is filtered out.
When to Turn MTF Off
MTF reduces signal frequency significantly on shorter timeframes. If you are studying a mean-reversion strategy in a ranging market, MTF may filter out valid signals because the higher timeframe trend is mixed. In this case, turning MTF off makes sense — but be aware you will see more low-quality signals alongside the good ones.
Strategy 1 — Trend Follow
What It Is
Trend Follow identifies instruments that are in a clear directional move and enters in the direction of that trend. It is the most widely studied strategy in trading and the one most beginners start with.
What It Looks For
- Price above the 200-period EMA (long) or below (short)
- EMA crossover confirming the short-term trend aligns with the long-term trend
- MACD confirming momentum in the trend direction
- ADX above threshold confirming the trend is strong enough to trade
Best Market Conditions
Trend Follow performs best when a market is in a clear, sustained directional move — weeks or months of consistent higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend). Gold in a multi-month bull run, or EURUSD during a sustained dollar rally, are typical conditions where this strategy generates high-confidence signals.
When It Stops Working
Trend Follow degrades in ranging markets. When a market is moving sideways, EMA crossovers become frequent and unreliable — what looks like a breakout in one direction quickly reverses. This produces a series of losing trades as the strategy buys at the top of the range and sells at the bottom.
If you see a pattern of losing signals in the Edge panel's historical instances during a specific period, check whether the market was trending during that time. If it was ranging, the losses are expected — the strategy was not designed for those conditions.
The most common mistake with Trend Follow is taking signals when the trend is weak or just beginning. A proper trend typically needs weeks of price history behind it. ADX Strong is included as a confluence factor specifically to filter out weak or early-stage trends.
Instruments It Works Well On
Gold, major forex pairs (EURUSD, GBPUSD), and equity indices during sustained bull or bear moves.
Strategy 2 — Mean Reversion
What It Is
Mean Reversion takes the opposite view to Trend Follow. It assumes that when a price moves to an extreme, it will pull back toward its average. It enters counter-trend at moments of overextension.
What It Looks For
- RSI at oversold (long) or overbought (short) levels — price has moved too far too fast
- Bollinger Band stretch — price has moved significantly away from the mean
- S/R Bounce — price is reacting at a key support or resistance level
- Low ATR — market is not in a high-volatility expansion phase
Best Market Conditions
Mean Reversion performs best in low-volatility, ranging markets where price oscillates between established support and resistance levels. Forex pairs in quiet, sideways periods are typical conditions. The strategy is essentially betting that the current extreme move is temporary.
When It Stops Working
Mean Reversion is dangerous in a strong trend. When a market is trending, RSI oversold conditions can persist for weeks — each "oversold" reading is just the market pausing before continuing lower. The strategy repeatedly enters long trades into a falling market.
This is the most misused strategy by beginners. Seeing RSI below 30 feels like a buying opportunity. In a downtrend, it is simply a market that keeps falling.
MTF is especially important with Mean Reversion. Before taking a mean-reversion signal, always check that the higher timeframe is not in a strong trend. A mean-reversion long on the 1-hour chart in a daily downtrend is a low-probability trade.
Instruments It Works Well On
Forex pairs during ranging periods, commodities in consolidation phases.
Strategy 3 — Breakout
What It Is
Breakout strategy identifies periods of price consolidation — where a market is coiling, building energy — and enters when price breaks out of that consolidation with conviction.
What It Looks For
- Bollinger Band squeeze — bands narrowing, signalling compression before expansion
- ATR Expansion — volatility expanding as the breakout begins
- Volume Spike — increased participation confirming the breakout is genuine
- Price breaking through a significant S/R level
Best Market Conditions
Breakout performs best after extended periods of low volatility consolidation. A currency pair or commodity that has been trading in a tight range for several weeks, then breaks out with a surge in volume, is the ideal condition. The longer the consolidation, the more significant the eventual breakout tends to be.
When It Stops Working
Breakout produces frequent false signals — called "fakeouts" — in noisy, high-frequency markets. Price breaks out of the consolidation range, triggers the signal, then immediately reverses back into the range. This is particularly common on shorter timeframes (5m, 15m) and in crypto markets where volatility is high and breakouts frequently fail.
The Volume Spike and ATR Expansion confluence factors are included specifically to reduce fakeouts, but they cannot eliminate them entirely.
A common refinement: only take breakout signals when the consolidation has lasted at least 10–15 bars. Breakouts from very short consolidations are rarely significant. Check the historical instances in the Edge panel to see whether your instrument's breakout signals have tended to hold or fail.
Instruments It Works Well On
Gold and oil during geopolitical or macro events, major forex pairs ahead of economic announcements, Bitcoin around key round-number levels.
Strategy 4 — Session Open Range
What It Is
Session Open Range is based on a well-documented pattern: financial markets tend to establish their direction for the day during the first 30–60 minutes of a major session open. The strategy identifies the range set at the open and enters when price breaks out of it with momentum.
What It Looks For
- Signal occurs within the first hour of a major session open (London 08:00 GMT, New York 13:00 GMT)
- Session Open confluence factor active
- Gap Up or Gap Down at the open (price opens significantly above or below the previous close)
- Initial range defined, breakout confirmed with volume
Best Market Conditions
Session Open Range works best on instruments that are heavily influenced by the London or New York session — primarily major forex pairs, gold, and US indices. The London open (08:00–09:00 GMT) is typically the highest-volume window for forex. The New York open (13:00–14:00 GMT) often produces significant moves in US indices and dollar pairs.
When It Stops Working
Outside session windows, this strategy produces no signals — it is time-specific by design. It also performs poorly on instruments that are not session-sensitive, such as crypto (which trades 24/7 without meaningful session dynamics) or instruments in low-liquidity periods.
Timeframe matters significantly here. Session Open Range signals are most meaningful on the 5-minute, 15-minute, and 1-hour timeframes. On the daily chart, the session open context is lost entirely.
Instruments It Works Well On
EURUSD, GBPUSD, USDJPY (London open), S&P 500, NASDAQ (New York open), Gold (both opens).
Strategy 5 — Quantum Convergence
What It Is
Quantum Convergence is Quantum's most comprehensive strategy. Rather than relying on a single signal type, it requires the highest number of confluence factors to align simultaneously — across trend, momentum, volatility, and structure. It generates fewer signals than other strategies but with the highest historical confidence.
What It Looks For
Quantum Convergence requires alignment across all four confluence layers:
| Layer | Confluence factors |
|---|---|
| Trend | EMA Cross + Price Above/Below EMA200 |
| Momentum | MACD Bull/Bear + ADX Strong |
| Structure | S/R Bounce |
| Volatility | ATR Expansion or BB Squeeze |
A signal only fires when conditions across all layers align. This is intentionally strict.
Best Market Conditions
Because Quantum Convergence requires so many conditions simultaneously, it fires most reliably when a market is in a strong, well-established trend that is pausing at a key level before continuing. It combines the discipline of trend-following with the precision of waiting for a structural entry point.
When It Stops Working
Quantum Convergence can miss significant moves. In a fast-moving market, by the time all confluence layers align, the best entry has already passed. It is designed for precision, not speed. Traders who want to catch every move will find it too restrictive.
Use Quantum Convergence as your primary filter. If you are unsure which strategy to use, start here. The high confluence requirement acts as a built-in quality gate. You will take fewer trades, but each one will have more history behind it in the Edge panel.
Instruments It Works Well On
All instruments — but it produces the most signals on higher timeframes (4-hour, daily) where the confluence conditions have time to develop properly.
Custom Strategies — Build and Validate Your Own
Quantum allows you to build your own strategies by defining the confluence rules that matter to you. This is a capability that most retail signal tools do not offer — typically you are locked into whatever signals the platform decides to surface. Quantum lets you define the conditions yourself and then runs the same walk-forward validation and Edge panel analysis on your custom rules as it does on the built-in strategies.
The result: after 30+ resolved paper trades on your custom strategy, you have your own documented, validated edge — built from your own trading logic, not someone else's community indicator.
How to Create a Custom Strategy
- Go to Markets and open Strategy Settings
- Select Custom Strategy
- Choose which confluence factors must be active for a signal to fire
- Set the minimum number of factors required
- Save with a name — the strategy becomes available across all instruments
Custom strategies follow the same Edge panel analysis as built-in strategies. After 10–30 resolved paper trades, you will have historical stats for your custom rules on each instrument.
Start simple. A custom strategy with 2–3 required confluence factors will produce enough signals to build meaningful history. A strategy requiring 6+ factors may produce so few signals that you never accumulate enough data to evaluate it.
Strategy Comparison Summary
| Trend Follow | Mean Reversion | Breakout | Session Open Range | Quantum Convergence | |
|---|---|---|---|---|---|
| Best for | Clear trends | Ranging markets | Post-consolidation | Session opens | High-conviction setups |
| Signal frequency | Medium | Medium-high | Low-medium | Low (time-gated) | Low |
| Biggest risk | Ranging markets | Trending markets | Fakeouts | Outside session hours | Missing fast moves |
| MTF importance | High | Very high | Medium | Medium | High |
| Best timeframe | 1h, 4h, Daily | 15m, 1h | 1h, 4h | 5m, 15m, 1h | 4h, Daily |
| Best for beginners | Yes | No | Medium | Medium | Yes |
Quick Links
- Markets — Apply strategies and review signals
- What Is AI Quantum Trading Agent? — Getting started
- Know Your Edge Before You Trade — Understanding edge analysis