Gain Your Trading Edge Using the Crypto Wizards Tool Suite

Explore the Z-score tool to identify cointegrated crypto pairs, using the spread and hedge ratio to trade mean-reverting long/short positions with a focus on convergence and divergence.

Analyze z-score based metrics on hourly data to trigger long mask usdc and short aptos usdc when negative, and reverse when positive, illustrated by backtest results.

Explore simulated pairs trading with the crypto wizards tool suite, using live prices, z-score and hedge ratio insights, to paper trade and export csv records.

Use data manager to fetch Chainlink USDC data from Binance. Add indicators, compute returns, set timesteps, and prepare data for backtesting and machine learning.

Join Apple and Tesla data by merging Apple's close price from FMP into Tesla's file, enable correlation and cointegration checks, then add a seven-day moving average and prepare for backtesting.

Backtest a simple moving average crossover strategy using open and close prices, with long and short entries, take profit, stop loss, and auto close periods, while avoiding look ahead bias.

Upload data to the data manager and use machine learning to predict whether bookmakers price odds correctly, aiming for a 1% edge in trading or betting.

Learn to prepare data for machine learning using label encoding for text features like league and teams, clean columns, and feed numeric data to predict bookies' accuracy.

Learn to predict price moves with the Prediction Manager, selecting a target feature, tuning hyperparameters, and evaluating training versus test performance to spot overfitting.

Open the prediction manager to view the latest model predictions, see what the model is predicting versus the target, and quickly assess accuracy, confidence, and overfitting.

Discover how the exchange flow balance tool tracks Ethereum trades to signal price moves, guiding long or short actions. Build watchlists and set alerts for net inflow or outflow.

Explore how Open Trace and flash gap tools identify and test crypto arbitrage opportunities across price aggregators, manage slippage, and convert dollars to simulate trades before placing all legs.

Understand how gas fees impact arbitrage opportunities across networks like Polygon, Binance Smart Chain, and Ethereum, and use strategies to minimize costs while pursuing profitable trades.

Discover upcoming no-code tools that let traders manually execute flash gap arbitrage opportunities using flash loans, as current tools face saturation and bot competition.

Set up your telegram credentials to enable alerts from the crypto wizards tool suite, including obtaining a bot token and chat ID and testing the connection and saving credentials.

Learn to set up z-score and p value alerts for crypto pairs on binance, choosing assets and hourly timeframes, with options to delay, renew, or delete alerts.

Set up XFlow alerts to monitor all coins on Huobi with a strength above 2.5, using the green bell icon, exchange search, and alerts manager for proactive notifications.

Explore automating trading strategies with Python in the Crypto Wizards Tool Suite, including D-pairs trading bots, z-score methods, cloud deployment, and telegram alerts for decentralized exchange trading.

Explore the fundamental principles of trading, uncover why traders lose money through objective math, and apply the Kelly criterion for optimal position sizing to gain an edge against casino-like brokers.

Navigate the Crypto Wizards net platform, keep up with evolving tools including AAB scan, and return to the course structure to track changes and stay training up to date.