Performance & Transparency
At Direct Signals, transparency is our core value. We believe every trader deserves clear, verifiable results backed by real data, not screenshots, and not empty claims. This page outlines our performance methodology, sample signals, reporting style, and the logic behind our risk model.
Monthly Performance Summaries
Our monthly summaries provide a clear and transparent breakdown of our signals’ performance. Each report includes win/loss data, net percentage movement, drawdown periods, and brief commentary on market behavior. We focus on consistent, long-term growth rather than unrealistic spikes or exaggerated results.
Win/Loss Breakdown
Shows total trades taken, win ratio, loss ratio, and breakeven trades. Helps traders understand performance consistency.
Net Percentage Movement
Reflects the total gain or loss across the month using our risk model (2% risk, 5% reward). Designed for long-term sustainability.
Drawdown Awareness
We report any drawdown periods honestly, including reasons, market behavior analysis, and recovery progress.
Sample Signal History
Below is an example of how our signals are structured and how outcomes are recorded. Every sample is anonymised and reflects the real format we use inside the VIP Telegram channel.
Sample Signal Format
Our Risk Model
Our 2% risk to 5% reward trading structure is designed to keep traders profitable even during volatile or unpredictable market conditions. This risk model has proven effective for long-term consistency, where risk management is prioritised over aggressive, unrealistic returns.
- Always risk 2% or less per trade
- Every trade targets approximately 5% gain
- Even if you win two trades and lose two trades, you remain net positive
- Eliminates emotional trading and inconsistent lot sizing
- Designed for sustainable growth, not gambling
Our Transparency Policy
Direct Signals stands firmly against manipulative marketing and misleading results. We do not alter images, exaggerate monthly gains, or claim unrealistic performance. Our machine-learning system trades based on historical modeling and probability.
- All performance reports are fully verifiable
- All sample trades come from real conditions
- We disclose drawdowns transparently
- We trade using the same signals we share
- Zero manipulation. All of our profits and losses are provided transparently.
