Trading Logic Encyclopedia

Learn trading strategies with sample code and backtests for crypto and stocks using CCXT and JQuants.

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I Tried Investing with the \\

I Tried Investing with the \\

This is a story about what happened when I tried buying and selling the cryptocurrency SOL/USDT using a strategy called \

Challenging Extreme Price Movements! Here\\\\

Challenging Extreme Price Movements! Here\\\\

This strategy involves jumping in when prices are making strong upward or downward moves. I tested it on the SOL/USDT coin using 5-minute price action, and unfortunately, the results were a significant loss. However, there\\

AI\\\\

AI\\\\

We used AI to test an investment strategy on Ethereum (ETH), a popular cryptocurrency. The strategy used was called \\

Bitcoin\\\\

Bitcoin\\\\

This strategy aims to capitalize on Bitcoin\\

Challenge Bitcoin\\\\

Challenge Bitcoin\\\\

This strategy is an investment challenge using AI (Artificial Intelligence) for Bitcoin. It involves buying and selling Bitcoin at the precise moment when its price has dipped significantly and then shows signs of upward momentum. We examined the performance over approximately one year by observing the price movements every hour. This explanation will clearly outline the strategy\\

Predicting Bitcoin

Predicting Bitcoin

This strategy attempts to predict short-term Bitcoin price movements using two tools: the RSI (Relative Strength Index) and Moving Average. Let

Can Bitcoin\\\\

Can Bitcoin\\\\

This strategy attempts to find optimal buy/sell timing by observing how much Bitcoin\\

Bitcoin\\\\

Bitcoin\\\\

This strategy aims to profit by taking the opposite position when Bitcoin\\

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This time, we experimented with a strategy of buying and selling Bitcoin at very short intervals, specifically every 5 minutes. This strategy uses a special calculation method called the \

Reading Bitcoin\\\\

Reading Bitcoin\\\\

This strategy explores how to buy and sell digital money called Bitcoin by observing its movements every hour. We tested this strategy with approximately 1.5 years of data. Let\\

Predicting Bitcoin\\\\

Predicting Bitcoin\\\\

In this story, we explore how Bitcoin moves every hour and introduce a method called the \\

Find When Bitcoin Moves Big! AI-Powered \\\\

Find When Bitcoin Moves Big! AI-Powered \\\\

This strategy aims to identify signals for significant Bitcoin price movements to achieve profitable trades. We tested its effectiveness using hourly price data over approximately 1 year and 2 months. AI analyzes price momentum to guide buy and sell decisions.

Predicting Bitcoin\\\\

Predicting Bitcoin\\\\

This strategy aims to identify the next moves of Bitcoin and determine when to buy and sell. It uses simple rules based on short, 5-minute price movements, making it easy for beginners to understand. Unfortunately, the results were not very favorable.

Uncovering Bitcoin\\\\

Uncovering Bitcoin\\\\

This operation explores a strategy for timing buys and sells based on discrepancies between Bitcoin\\