market data

The Price Deviation Ratio is a common technical indicator that compares the current stock price to the N-day moving average price, reflecting whether the current price is relatively high or low compared to its historical values. Generally, when the stock price consistently exceeds the moving average price, it’s called a ‘positive deviation.’ Conversely, it’s called’ negative deviation’ when it consistently falls below the moving average price.’ Therefore, when positive or negative deviation expands, it is interpreted as a sustained overbought or oversold condition in the market, serving as a basis for entry and exit decisions. However, using only the Price Deviation Ratio can generate too many trading signals. Hence, we include the highest and lowest prices over the past N days as a second filter. The actual strategy is as follows:

The Bollinger Bands is a technical indicator invented by John Bollinger in the 1980s. It combines the concepts of moving averages and statistical standard deviation to construct a trading strategy based on statistical analysis. This article will demonstrate how to deploy this strategy on the TQuant Lab back testing platform.

MACD, which stands for Moving Average Convergence Divergence, is a commonly used tool in technical analysis for measuring the trend changes and momentum of an asset.

Oscillator Technical Indicator is a technical indicator used in the financial market analysis for assessing the over-bought/over-sold of a given asset in a given period. It can assist investors in identifying trends and potential trend reversals. Oscillator Technical Indicator processes and converts specific price indicators (e.g., opening, closing, highest, and lowest price) in a limited range. Some may include a negative range. Oscillator Technical Indicators are normally presented in a linear format. Today, we are going to introduce an Oscillator Technical Indicator — Aroon Up Down.

key takeaways! The Reality Gap: Standard theoretical prices often drift away from the market. Our tests prove that reality rarely aligns with static formulas. Find the Truth with Python: Simulate 10,000 paths and use smart fixes to get prices much more accurate than standard formulas. Real Market Backtest at the End: Which code snippets help […]

Using PE ratio to assess current stock price Keywords: PE ratio, EPS, visualization Highlights: Preface: The PE ratio is a typical indicator that evaluates the reasonability of the stock’s price. The formula is PE ratio = (Price Per Share) / (Earning Per Share). The higher PE ratio indicates the overestimated price of the stock, which […]

Programming CRR model for calculating options theoretical price. Keyword: CRR model, Options, Call, Put Highlight Preface In our previous article — 【Quant】Black Scholes model and Greeks, we introduce how to program the Black Scholes model. However, Black Scholes has its disadvantages and can not calculate the theoretical price for American options. Therefore, three years after […]

Investments always come with risks, and not all are inevitable. Through risk diversification, the distribution of different asset types could help investors efficiently manage risk and reduce the influence of market volatility on their portfolios. Today’s article will mainly discuss how to use data, comparing the similarity of funds from a scientific point of view.

In 1997, Robert Merton and Myron Scholes won the Nobel Prize in Economics for their Black-Scholes options pricing formula, beating out many other contenders. The Black-Scholes model is still a widely-used option pricing model in the financial industry and by investors due to its excellent mathematical properties, simplicity, and ease of use. Today, we will focus on programming this model and Greeks derived from Black Scholes model.

  Highlights Difficulties：★☆☆☆☆ Using the Moving Average and standard deviation to construct a Bollinger Band, determine when to buy and sell. Preface Bollinger Band is a technical indicator that John Bollinger invents in the 1980s. Bollinger Bands consist of the concepts of statistics and moving averages. The moving Average(MA) is the average closing price of […]

Create a price deviation ratio trading strategy using python and perform historical backtesting. Summary of Key Points in This Article Article Difficulty: ★☆☆☆☆ Calculate the N-day Price Deviation Ratio Indicator using unadjusted closing prices of individual stocks and use the N-day previous low and high prices as entry and exit signals. Reading Recommendation: This article […]

In the previous article, we used an LSTM model to predict stock price trends by using the past 10 days' opening prices, highest prices, lowest prices, closing prices, and trading volumes to predict the closing price for the next day. However, we observed that the model's performance was not very satisfactory when relying solely on yesterday's stock price to predict tomorrow's price. Therefore, we have decided to change our approach. This time, we aim to use the model to help us identify buy and sell points and formulate a trading strategy. We have also incorporated eight new feature indicators, with four being technical indicators and four being macroeconomic indicators, in the hope of improving our prediction results using these two facets of feature values.