🧪 Beta · Experimental platform

Prediction market intelligence
for Polymarket

A structured platform to monitor market behavior, simulate trading ideas, and review opportunities — before committing real capital.

Request access How it works

Currently in Phase 1 — observation and data collection only. No real capital involved.

⚠️ Experimental software. Simulation results do not guarantee future performance. This is a research tool, not financial advice. Use at your own risk.
The challenge

Prediction markets are hard to navigate manually

Polymarket runs hundreds of active markets at once. Prices reflect real-money probability estimates — and they move in ways that are difficult to track without structure.

Scale
150+ active markets updating every few minutes. No single view that aggregates signals, liquidity, and momentum.
Correlated moves
Related markets react to the same news at different speeds. These windows open and close before manual review is possible.
No simulation layer
There is no native way to test whether a systematic approach would have worked on historical data before committing capital.
Context without structure
Each market has history, patterns, and liquidity dynamics. Without a structured tool, most of this context is invisible.
Platform

Analyze. Simulate. Review. Decide.

Polymarket Agent is a research workflow — not a black box. You see what it tracks, what it simulates, and what the data says before anything happens.

📡
Market monitoring
Tracks 150+ markets every 5 minutes. Identifies unusual price moves, liquidity changes, and cross-market correlations in real time.
🔬
Backtesting & simulation
Tests systematic approaches against real historical data. Walk-forward methodology, 1% fee model, no lookahead bias. Results are measured, not assumed.
📊
Structured reporting
Daily briefings with AI-assisted summaries of market behavior. Win rate, Sharpe ratio, drawdown — visible at every stage of the research process.
🔔
Alerts
Telegram notifications for signal candidates, phase transitions, and risk events. Nothing happens silently.
🎯
Optional execution
When simulation results consistently meet defined thresholds, a controlled execution workflow becomes available. Requires your explicit confirmation.
Research workflow

Four phases, full control

The platform follows a structured research workflow. Each phase has clear exit criteria — and real-capital execution only becomes available after explicit human approval.

01
👁️
Observe
Structured data collection across 150+ markets every 5 minutes. Builds a baseline of volatility, liquidity, predictability and correlations. No decisions, no money.
≥200 markets · ≥14 days
02
🎮
Simulate
Paper trading with $4,000 fictitious USDC. Every decision is recorded and measured against real market data. Nothing is hidden — win rate, losses, and edge are all visible.
$1,000 / approach · ≥20 trades
03
📊
Evaluate
Structured review of simulation metrics: win rate, Sharpe ratio, max drawdown. A full report is generated and sent to your Telegram. You review everything before any next step.
Win rate ≥55% · Sharpe ≥0.8
04
🚀
Execute (optional)
If simulation results meet the thresholds and you decide to proceed, a controlled execution workflow activates. Requires your explicit "ACTIVAR" reply via Telegram. Uses your own Polygon wallet and API keys.
Human approval required
Control

Limits that cannot be bypassed

Seven hard limits apply to every trade — simulated or real. They are checked before every decision and cannot be overridden by any signal, strategy, or AI output.

🔒
15% max
per position
📋
8 max
open positions
📉
5% daily loss
stops all activity for the day
🛑
20% drawdown
pauses everything + alert
💧
$500 min
market liquidity required
⏰
1 day min
to market close
⚖️
40% max
per strategy
Dashboard

Everything visible, nothing assumed

The dashboard gives you a structured view of what the platform is observing, simulating and reporting — at every stage of the research workflow.

Overview
Current phase, days running, portfolio state, recent alerts and Telegram status at a glance.
Markets
Full table of tracked markets with price, volume, liquidity and signal activity. Correlation matrix for related markets.
Research
Run backtesting experiments from the UI. View equity curves, win rates, and Sharpe ratios. Compare experiment history.
Reports
Daily AI-assisted intelligence summaries. Structured review of what moved, what didn't, and what the data suggests.
Strategies
Signal activity per approach. Simulation P&L, trade log, and position history — all separated by strategy.
Methodology

How we think about this

The platform is built around a few principles that shape every design decision.

Data before conviction
Every signal is based on measured price behavior. No rule is added without being tested on historical data first.
Simulation before capital
Nothing reaches real execution without first showing consistent results across a defined simulation period with real market data.
Human in the loop
Phase transitions require your confirmation. The platform never escalates to real-capital execution on its own.
Transparent metrics
Win rate, Sharpe, drawdown — visible at every stage. If the simulation underperforms, you see that clearly, not a smoothed version of it.
Resilient by design
Every external call has retry logic and graceful fallback. API outages are logged and skipped — the research process continues without interruption.
Who built this

A serious experiment, built by one engineer

This is not a hedge fund product, a trading service, or a guarantee of any kind. It is a personal research project built with rigor.

👨‍💻
Alberto Rodríguez Martín
Software Engineer & Data Engineer · Tenerife
Professional with extensive experience in data engineering, backend development and automated information systems. Specialised in data pipelines, heterogeneous source integration and data-driven platforms.

Built this platform to explore whether a structured, data-driven research workflow can produce consistent edge in prediction markets. The goal is not a money-printing machine — it is a better way to analyse and simulate ideas before risking capital.

Experimental. Honest about what it can and cannot do. Built to last.
@albertormweb
Contact

Interested in the beta?

Questions about the platform, access requests, or collaboration proposals — send a message.