
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.
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.
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.
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.
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.
Per popular request, a video course walkthrough has been put together for the CW members on how to use the platform end to end with the goal to find an edge in trading. This short training will take you through:
- Finding excellent pairs for Pairs Trading
- Detecting an Edge with Machine Learning
- How to backtest any strategy quickly
- How to spot trader intentions before anyone else with exchange flow
- An overview of traditional vanilla crypto arbitrage
You should only take this course if you are a Crypto Wizards member as this is the software which we will be using throughout the course. Non-members will benefit from the insider knowledge they learn, but won't be able to make any use of that knowledge. So this is discouraged.
We will start by walking through the initial crash course in the first section for those who want to skip all the talking and just use the tool. Then, we will go through in a separate section and in more detail about each application with the goal to detect a trading edge in each one.
By the end of the course, you will have a solid idea on statistical arbitrage in pairs trading, how to get and wrangle any financial data you want, how to backtest and perform machine learning on that data and even how to make predictions about the future objectively.
You will also know how to spot odd crypto movements on exchanges way before anyone else does.