Alt Research
Lab
Ongoing research into systematic trading. Members receive full strategy files, Python resources, live experiments, and monthly reports. All methodologies documented and versioned.
Lab Access Includes
- Full strategy files for TradingView & Pine
- Python research resources & notebooks
- Live experiments & regime updates
- Monthly performance reports
- Versioned changelogs & methodology notes
- Private Discord community access
- Alt Trading research community access
Delivered via private Discord
Research Preview
Active Systems
Three trading systems under active research. Methodology overviews are public. Full strategy files, parameters, and live updates are available in the Lab.
B1 (Breakout System)
A fast-execution intraday breakout framework designed to capture short-duration morning moves with strict risk definitions. Prioritizes repeatability and controlled downside over maximizing signal count.
Methodology
- Structure anchor: B1 defines a repeatable morning structure window and only considers trades when that structure produces a valid breakout condition.
- Context gate (shared screener): Participation can be gated by a shared analysis filter so the system doesn't trade every breakout-looking day.
- Risk + exits: Stop placement and targets are derived from the same model so trades are comparable across time.
P1 (Pivot System)
A volatility-anchored intraday level framework that maps each session into structured reference levels. Designed to help traders stop treating every price area as equal by providing a consistent "session map."
Methodology
- Volatility measurement: P1 estimates session-relevant volatility and uses that measurement to space meaningful levels.
- Level generation: Levels are derived from the model (not hand-drawn pivots) so they remain consistent and testable.
- Context alignment: The same environment/analysis layer can be used to filter which level interactions matter most in the current regime.
S1 (Swing System)
A futures swing framework built to produce fewer, higher-quality setups across multi-session moves. Designed to reduce decision fatigue and avoid overtrading chop.
Methodology
- Regime first: A context layer identifies when swing participation historically behaves better (vs. chop/transition regimes).
- Selectivity second: Setup rules are intentionally restrictive; S1 is not built for constant signals.
- Risk + hold behavior: Exits are shaped to improve multi-session stability, not to optimize one perfect trade.
Access
Join Alt Research Community
Coming soon. Receive full strategy files, Python resources, live experiments, and monthly reports. Membership is delivered through a private Discord community.
Questions? Contact admin@alttrading.ai
Testing Disclosure
Backtests vary by symbol, timeframe, session settings, and fill assumptions. Use realistic commission + slippage, avoid oversized % risk, and evaluate a meaningful sample size before drawing conclusions. Published results must match the default Properties/Inputs shown in the script.
Not financial advice. Futures trading involves risk. Past performance does not guarantee future results.