What does the ABXK.AI Trading Platform do?

ABXK.AI analyzes financial markets using artificial intelligence. The system looks at price charts, calculates technical indicators, and predicts whether a trade will be profitable. It targets 70% prediction accuracy with a 2:1 reward-to-risk ratio.

What markets does the platform support?

The platform supports 208+ symbols across US Stocks, European markets, Asian markets, Forex, Crypto, Commodities, and ETFs including AAPL, BTC-USD, EURUSD=X, and more.

What neural networks does it use?

The platform uses two neural networks: LSTM Network for detecting trends using memory cells, and Transformer Network for finding complex patterns using attention mechanisms.

How does the learning process work?

The learning process has four stages: Data Collection (generating simulated trades), Backtesting (calculating CVR and costs), Pattern Learning (identifying winning indicator combinations), and Neural Network Training.

AI Trading Platform

The AI Trading Platform learns from market data to predict which trades will be successful. It uses neural networks and technical analysis. The goal is to achieve 70% prediction accuracy with a 2:1 reward-to-risk ratio on winning trades.

What Does This Platform Do?

ABXK.AI uses artificial intelligence to analyze financial markets. The system studies price charts, calculates technical indicators, and tries to predict if a trade will make money. As time goes on, it learns from its mistakes and improves its predictions.

Target Accuracy 70% Prediction Rate

Reward:Risk 2:1 On Profitable Trades

Symbols 208+ Global Markets

Indicators 28-35 Feature Inputs

How AI Training Works

The learning process has four main stages:

1 Data Collection

The system runs in the background and creates thousands of practice trades. Each trade includes:

Entry price and exit price
Stop loss and take profit levels
All technical indicator values when the trade starts
The final result (win or loss)

2 Backtesting

For each simulated trade, the backtester calculates:

CVR (Chance/Risk Ratio): This is the reward divided by the risk. A CVR of 2.0 means you could gain $2 for every $1 you risk.
Trading costs: Real fees and other costs are taken away from profits.
Market regime: This tells us if the market is going up, down, or sideways, and how much prices are moving.

A trade is only counted as successful if it achieves CVR of 2.0 or higher after all costs.

3 Pattern Learning

The system looks at all finished trades and tries to answer one question: Which indicator combinations lead to winning trades?

For example, it might learn that:

RSI below 30 + MACD crossover = 75% success rate for stocks
Ichimoku cloud breakout + high ADX = 80% success rate for crypto

These patterns are saved with weights that show how reliable each indicator is.

4 Neural Network Training

Two neural networks learn from the trade data:

LSTM Network: This network has memory cells that help it remember patterns over time. It is good at finding trends.
Transformer Network: This network can focus on the most important information. It is better at finding complex patterns.

Both networks receive 28-35 indicator features as input. They train on thousands of trades and learn to predict which new trades will be successful.

Complete Trade Analysis Flow

When you analyze a symbol, here is what happens:

1. USER REQUESTS ANALYSIS

2. FETCH MARKET DATA (Price history, multiple timeframes)

3. CALCULATE INDICATORS (RSI, MACD, Moving Averages, Bollinger Bands, Ichimoku, ADX, Stochastic, ATR)

4. DETECT MARKET REGIME (Trend direction and volatility level)

5. APPLY LEARNED WEIGHTS (Load indicator weights from database)

6. NEURAL NETWORK PREDICTION (LSTM network calculates probability)

7. TRANSFORMER PREDICTION (Second probability estimate)

8. COMBINE RESULTS (Calculate weighted average, generate signal)

9. RETURN ANALYSIS TO USER (Signal, prices, confidence score, indicator details)

Technical Indicators

The platform calculates these indicators every time it analyzes a market:

Indicator	What It Measures
RSI (14)	Momentum - overbought above 70, oversold below 30
MACD	Trend momentum - signal line crossovers
SMA 20/50/200	Short, medium, and long-term trends
EMA 12/26	Exponential moving averages (react faster)
Bollinger Bands	Volatility - price relative to bands
Ichimoku Cloud	Trend, momentum, support/resistance combined
ADX	Trend strength - above 25 means strong trend
Stochastic	Momentum oscillator - %K and %D lines
ATR	Volatility - used for stop loss sizing
Volume Ratio	Current volume vs 20-day average

Each indicator gets a learned weight based on how well it predicted winning trades in the past.

Supported Markets

The platform can analyze these markets and symbols:

Category	Symbols
US Stocks	AAPL, MSFT, GOOGL, AMZN, NVDA, TSLA, META
European	SAP, ASML, MC.PA, SHEL, NESN.SW
Asian	9984.T (SoftBank), 005930.KS (Samsung), 9988.HK (Alibaba)
Forex	EUR/USD, GBP/USD, USD/JPY
Crypto	BTC/USD, ETH/USD, SOL/USD
Commodities	GC=F (Gold), CL=F (Oil), SI=F (Silver)
ETFs	SPY, QQQ, GLD, IWM

Total: 208+ symbols across global markets.

Walk-Forward Validation

To make sure the AI does not just memorize old data, we use walk-forward testing:

Training period: The AI learns from 24 months of past data
Validation period: We adjust settings using 3 months of data
Test period: We test on 3 months of new data the AI has never seen

The test period is called out-of-sample (OOS) because the AI never saw this data during training. Only these results matter for real trading.

Current test results:

Profit Factor: 1.13 (makes money after costs)
Sharpe Ratio: 0.66
Win Rate: about 9% (with CVR target of 2.0)

Cost Model

Every trade includes real-world costs that you would pay when trading:

Asset Type	Fees	Spread	Slippage	Total
Stocks	0.10%	0.05%	0.05%	~0.20%
Crypto	0.20%	0.10%	0.15%	~0.45%
Forex	0.02%	0.08%	0.03%	~0.13%

These costs are taken away from every practice trade. This gives us profit estimates that are closer to real trading.

⚠️ Important Notice

The AI Trading Platform is an internal research project used only by ABXK.AI. Visitors cannot access or use this platform publicly. We share results on social media, but these results are not financial advice.