PROJECTS

Market Scanner (Ongoing Project)

PROJECT SUMMARY

A live market-intelligence platform currently under active development, with new screening and machine-learning features being added regularly.

The platform includes:

  • Machine learning models that analyze historical market data to identify patterns and forecast potential trading opportunities.

  • Technical indicator screener that evaluates current market indicators across a wide range of assets, helping traders efficiently identify favorable setups.

  • Candlestick pattern screener that scans live market data for bullish and bearish candlestick patterns.

VISIT PLATFORM

MACHINE LEARNING MODELS

Description

The platform uses Random Forest machine learning models to analyze historical and current market data across multiple timeframes. Separate models evaluate potential long and short opportunities using price action, momentum, trend, volatility, volume, and technical indicators such as RSI, MACD, moving averages, ATR, Bollinger Band Width, and ADX.

Each model estimates the probability of a defined upward or downward price movement occurring within a specified future period. Trading signals are generated only when a prediction exceeds a threshold established from the model’s historical performance.

Backtesting

The models are evaluated using walk-forward backtesting, which preserves the chronological order of market data and simulates how each model would have performed on previously unseen periods. Models are repeatedly trained on past data, tested on the following period, and retrained as the evaluation moves forward through time.

Performance is assessed using metrics such as:

  • Historical signal hit rate
  • Lift over the baseline market probability
  • ROC-AUC
  • Consistency across testing periods
  • Number of historical signals

Presentation on the platform

The platform brings the results from different assets, timeframes, and trade directions into a clear interface. Users can view:

  • Predicted probability
  • Long or short signal
  • Relevant timeframe
  • Historical hit rate and lift
  • Signal threshold
  • Model stability and performance
  • Overall model quality grade

This allows traders to compare opportunities across the market and identify conditions supported by historical statistical evidence. The models are designed as decision-support tools and do not guarantee future performance.

We are currently developing a live model-performance tracker that will allow users to evaluate the accuracy of our machine learning predictions. Every prediction generated by the platform will be recorded, along with its target, timeframe, and final outcome. Users will be able to see whether the predicted price target was reached within the specified period, providing a transparent view of the model’s real-world performance over time.

CANDLESTICK PATTERN SCREENER

The Candlestick Pattern Screener continuously scans market data across multiple assets and timeframes to identify bullish and bearish candlestick formations. It helps traders quickly filter through the market and find potential setups without manually reviewing every chart.
For each detected pattern, the platform displays the asset, timeframe, pattern type, direction, and time of detection, allowing users to investigate relevant opportunities more efficiently.The screener is designed as a market-analysis and decision-support tool. Detected patterns indicate potential market conditions and should not be treated as guaranteed trading signals.

Currently working on adding more patterns and additional information to the page explaining how the patterns are calculated, whether they are bullish or bearish and how this data is meant to be used.

TECHNICAL INDICATOR SCREENER

The Technical Indicator Screener continuously analyzes market data across multiple assets and timeframes to identify notable indicator conditions and potential trading setups. It helps traders efficiently filter through a large volume of market data without manually reviewing every chart.
The platform evaluates commonly used technical indicators, including momentum, trend, volatility, and volume-based indicators. For each detected condition, users can view the asset, timeframe, indicator, current value, and whether it suggests bullish, bearish, overbought, or oversold market conditions.
The screener is designed as a market-analysis and decision-support tool. Indicator readings provide additional market context and should not be treated as guaranteed trading signals.

Currently working on making the page more readable by adjusting parameters of the table. Also the page will be more interactive where users will be able to filter and sort the data to more easily find good setups based on indicators they wish to use.

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