From ac59dc02b866d55841531c04aba6a68534a36f8c Mon Sep 17 00:00:00 2001 From: Johannes Herrmann Date: Tue, 10 Nov 2020 10:34:30 +0100 Subject: [PATCH] Added post about my bsc project, BTC trading app --- content/post/project-btc-trading-app.md | 168 ++++++++++++++++++ .../btc-background.jpg | Bin 0 -> 318530 bytes static/img/project_btc_trading_app/candle.jpg | Bin 0 -> 49046 bytes .../img/project_btc_trading_app/portrait.jpg | Bin 0 -> 38473 bytes 4 files changed, 168 insertions(+) create mode 100755 content/post/project-btc-trading-app.md create mode 100755 static/img/project_btc_trading_app/btc-background.jpg create mode 100755 static/img/project_btc_trading_app/candle.jpg create mode 100755 static/img/project_btc_trading_app/portrait.jpg diff --git a/content/post/project-btc-trading-app.md b/content/post/project-btc-trading-app.md new file mode 100755 index 0000000..b5e85c7 --- /dev/null +++ b/content/post/project-btc-trading-app.md @@ -0,0 +1,168 @@ +--- +title: "Bitcoin Trading App" +date: 2019-10-04T13:42:55+02:00 +author: "Johannes Herrmann" +authorAvatar: "img/project_btc_trading_app/portrait.jpg" +tags: ["bitcoin", "crypto", "trading", "trading algorithms"] +categories: ["project"] +image: "img/project_btc_trading_app/btc-background.jpg" +draft: false +--- +By anticipating market movements ahead of time it is possible to generate +profits. This application implements several trading strategies which aim +to do that automatically. + + +# Content + +1. Introduction +1. The Chart +1. The Traders + 1. General Trader Settings + 1. Buy and Hold + 1. Moving Averages + 1. MACD + 1. Stochastics + 1. Relative Strength Index + 1. Standard Deviation + +# Introduction + +Since markets exist people have been trying to anticipate changes in the price +of an asset ahead of time, in order to generate profits. In theory it is simple: +buy when the price is low and sell when the price is high. But whether the price +is actually high or low depends on future prices, not past ones. A price is +considered high, if it is going to fall in the future, vice versa it is +considered low, if it is going to rise. +One of the tools +for predicting market movements is Technical Analysis (TA). +This application implements some of the most promising techniques from TA +for trading crypto currencies (e.g. Bitcoin). These techniques are then used +by a "trader" to predict future price movement and generate Buy- or Sell-signals. +This application also provides options to adjust parameters of techniques +and to combine them to create a trader that produces more accurate signals. + +This blog post will explain how to read the candlestick chart which displays +the price and trader actions and how the implemented TA techniques work. + + +# The Chart + + + +A common way to display an assets price over time is a candlestick chart. Each +candle represents price action over a certain period of time, also called +"granularity". Often a value of one week, day or hour is chosen. A candle +consists of a thick body and two thin "wicks". The body shows the opening and +closing price in the selected time period. If the candle is red, the price fell +from the opening to the closing value and if the candle is green, the +price rose from open to close. The upper part of the thin wick represents the +maximum price over the period and the lower part represents the minimum. + +The solid lines in the chart show the values of the trader accounts and can be +toggled on or off by (un-)checking the box "Show trader account value". The +green line represents trader one's account and the blue line trader two's +account. + +Under the tab 'General Settings' you can choose the asset, the granularity (size +of the time interval covered by one candle) and whether to use historic or live +prices. +The historic prices are chosen by selecting a date range. The live prices are +selected by entering the number of candles (units of time) that should be +displayed. + +# The Trading Strategies + +## General Trader Settings + +All traders regardless of their used strategy have several general settings: + +### Stop Loss: + +This percentage defines how much value the asset can loose before the trader +will sell it. This is a simple form of risk management. +For example: If the trader buys at 1000 USD per unit and stop loss is set to +10%, it will sell everything it bought when the price falls below 900 USD per +unit. + + +### Take Profit: + +This percentage defines how much the price can rise before the trader secures +its profits. This is a sort of risk management, too, like stop loss. +Example: If the trader buys at 1000 USD per unit and take profit is set to 10%, +it will sell 100 USD worth of asset when the price hits 1100 USD per unit. +Disclaimer: This mechanism is based on the premise that the USD is more stable +than the asset price, which is true for most crypto currencies. + +### Fees and Budget: + +Fees are specified in percent-tenths (0.1%). In practice, they can range from 0.5% to about 2%, depending on +the used crypto exchange. +The trader budget can be specified by a starting value, which the trader will +recieve right away. And a regularly added amount can be set, along with +a frequency defining how often the trader will recieve it. + +## Buy and Hold + +The "Buy and Hold" strategy is the most simple one. Whenever there are USD in +the account, use them to buy as much of the asset as possible and hold it. +With this strategy, bought assets are never sold. + +## Moving Average Crossover + +This strategy is based on two moving averages. One takes a large sample size and +is called "slow", the other takes a smaller sample size and is called "fast". +In theory, the slow moving average is an estimation of the long-term price and +the fast moving average estimates the short-term price. + +A Buy-signal is triggered, when the fast moving average crosses over the slow +moving one. Vice versa a Sell-signal is triggered, if they cross the other way +around. + +In the app you can choose between two "flavours" of moving averages: simple or +exponential. The exponential moving average puts more +weight on recent data points while the simple one assigns the same weight to all +of them. + +## MACD + +This strategy is based on the MACD: moving average convergence-divergence. It is +calculated by taking the difference between a fast and a slow exponential moving +average (EMA, see Moving Averages). Then, the average of this +difference is computed, which gives the MACD-signal. +If this MACD-signal crosses above zero, a Buy-signal is triggered, if it crosses +below, a Sell-signal. + +## Stochastic Oscillator + +This oscillator's value is computed by first looking up the highest and lowest prices +in a defined time period. Then the difference between the current and lowest +price, as well as the difference between highest and lowest are calculated. The +ratio between those is then compared to a moving average of itself. +If the ratio +crosses above the average, a Buy-signal is triggered and if it crosses below the +average, a Sell-signal is triggered. + +## Relative Strength Index + +To calculate the relative strength, upwards and downwards price movements are summed up +respectively and averaged over a given period. +The relative strength index is the ratio between the average of upwards movements and +the sum of both averages. + +There are many ways to interpret the RSI and there does not seem to be one +agreed upon interpretation. +For this app, the crossover of the RSI with an average of itself is considered. +If the RSI crosses above the average a Buy-signal is triggered, if it crosses +below the average, a Sell-signal is triggered. + +## Standard Deviation + +This strategy simply calculates the standard deviation of the price and a moving +average of the standard deviation. Contrary to the other strategies, this one +does not produce Buy- or Sell-signals. Instead, it signals whether a big price move +is imminent and thus if the trader should act or not. +If the standard deviation crosses above its average, a relatively big move is +expected and the trader can act. 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