WE SOLVE INFINITYData + LLM Fusion
Numbers plus narrative - the context math misses.
CUSTOM SOFTWARE · VIPRASOL
AI / LLM Trading Signal Engine
We build AI trading signal engines that fuse market data with LLM reasoning over news and context to generate signals - then deliver them to Telegram, Discord, webhook, or your broker. Backtested and validated honestly; signals inform, they do not guarantee.
Agreed scope · Reviewable milestones · Documented handover
BUILT AROUND YOUR REQUIREMENTS
Data + LLM fusion
Reasoned signals
Multi-channel delivery
Backtested
THE WORK IN PRACTICEWhat we can build
What we can build
with you.
An AI signal engine combines the numbers with the narrative. It reads price action and indicators like a quant system, then uses an LLM to weigh headlines, filings, and context a pure math model would miss - producing signals with a reason attached. We backtest the logic, validate out-of-sample, and deliver signals wherever you need them: Telegram, Discord, a webhook, or straight into execution. Signals are decision-support, not a profit guarantee.
Reasoned Signals
Every signal ships with a why, not just a direction.
Multi-Channel Delivery
Telegram, Discord, webhook, or straight to broker.
Honest Backtesting
Out-of-sample validation and leakage checks.
Confidence Gating
Only signals above threshold are sent.
News-Aware
Reacts to headlines, filings, and events in context.
A CLOSER LOOK
Inside ai / llm trading signal engine.
Our AI trading signal engine fuses the numbers with the narrative - reading price and indicators like a quant, then using an LLM to weigh news and context a math model would miss.
Every signal ships with a reason attached, and the logic is backtested out-of-sample with leakage checks before anything goes live.
We deliver signals wherever you need them - Telegram, Discord, webhook, or straight into your broker - behind confidence gating so noise does not become false alarms.
Signals are honest decision-support, never a profit guarantee - with full source ownership and support.
THE DELIVERY PROCESSA clear path from
A clear path from
brief to handover.
We agree the requirements and review working milestones together. The process below is adapted to the systems, testing and operating needs of your project.
- 01
Discovery and Fit
We define the markets, the signal logic, and how LLM reasoning adds to the numbers.
- 02
Risk and Safeguards
We set confidence thresholds and delivery rules so noise does not become false signals.
- 03
Build and Honest Backtest
We build the engine, fuse data with LLM reasoning, and backtest the logic out-of-sample.
- 04
Test and Go Live
We paper-run the signals, tune, then deliver live to your channels.
BEFORE WE STARTLet’s define
Let’s define
a useful first version.
Share the workflow you want to improve, the platforms you use and any existing code or examples. We’ll work through the requirements, dependencies and acceptance checks with you before proposing a build.
Each custom project is quoted individually. Hosting, external services and ongoing maintenance are made clear in the agreed scope.
Talk through your requirementsPRACTICAL QUESTIONSBefore we
Before we
get started.
Answers to the questions that help define your project.
How is this different from a normal signal bot?
A normal signal bot only sees numbers. This engine adds LLM reasoning over news and context, so each signal carries a rationale a pure math model cannot produce.
Are the signals guaranteed to be profitable?
No - anyone who guarantees that is lying. Signals are decision-support; we validate the logic out-of-sample and are honest about limits.
Where are signals delivered?
Telegram, Discord, a webhook, or directly into execution - your choice, one or several.
Do you sign NDAs?
Always, before any strategy details are shared.
How is a ai / llm trading signal engine project quoted?
We review your requirements, integrations and delivery scope before preparing a project-specific quote. The proposal sets out the work, milestones and any ongoing costs. Changes are discussed and agreed before additional work begins.
Quant engineers who use AI where it genuinely adds edge.
Honest validation - out-of-sample, leakage-checked, no hype.
Full source-code ownership, docs, and 30-day support.
Transparent process and a 5.0-star Upwork record.
How the work holds together.
We spec the signal logic and news sources, gate on confidence, fuse market data with LLM reasoning, backtest out-of-sample, paper-run, then deliver live to your channels.
LET’S TALK ABOUT YOUR PROJECTWhat would you
What would you
like to build?
Tell us what you need from ai / llm trading signal engine. We’ll work through the scope and next steps together.