Change MACD calculation
This commit is contained in:
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662d531bbd
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d559e51c25
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@ -18,7 +18,7 @@ use crate::value_estimation_team::indicators::ema::{ema, EmaData};
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use crate::value_estimation_team::indicators::heatmap_volume::{
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use crate::value_estimation_team::indicators::heatmap_volume::{
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heatmap_volume, HeatMapLevel, HeatmapVolumeData,
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heatmap_volume, HeatMapLevel, HeatmapVolumeData,
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};
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};
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use crate::value_estimation_team::indicators::macd::{ema_macd, EmaMacd};
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use crate::value_estimation_team::indicators::macd::{ema_macd, MacdData};
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use crate::value_estimation_team::indicators::rsi::{rsi, RsiData};
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use crate::value_estimation_team::indicators::rsi::{rsi, RsiData};
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use crate::value_estimation_team::indicators::sma::{sma, SmaData};
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use crate::value_estimation_team::indicators::sma::{sma, SmaData};
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use crate::value_estimation_team::indicators::stoch_rsi::{stoch_rsi, StochRsiData};
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use crate::value_estimation_team::indicators::stoch_rsi::{stoch_rsi, StochRsiData};
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@ -37,6 +37,7 @@ pub async fn execute_list_up_for_buy(
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// let all_data_c4 = all_data.clone();
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// let all_data_c4 = all_data.clone();
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let all_data_c5 = all_data.clone();
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let all_data_c5 = all_data.clone();
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let all_data_c6 = all_data.clone();
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let all_data_c6 = all_data.clone();
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let all_data_ct = all_data.clone();
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// strategist_001(all_data).await?;
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// strategist_001(all_data).await?;
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// strategist_002(all_data).await?;
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// strategist_002(all_data).await?;
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// task_vec.push(tokio::spawn(async move {
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// task_vec.push(tokio::spawn(async move {
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@ -51,6 +52,9 @@ pub async fn execute_list_up_for_buy(
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task_vec.push(tokio::spawn(async move {
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task_vec.push(tokio::spawn(async move {
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crate::strategy_team::strategy_006::list_up_for_buy(all_data_c6).await;
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crate::strategy_team::strategy_006::list_up_for_buy(all_data_c6).await;
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}));
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}));
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task_vec.push(tokio::spawn(async move {
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crate::strategy_team::strategy_test::strategist_test(all_data_ct).await;
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}));
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try_join_all(task_vec).await?;
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try_join_all(task_vec).await?;
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Ok(())
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Ok(())
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@ -2,7 +2,7 @@ use super::{
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dec, decimal_add, decimal_sub, ema, exists_record, insert_pre_suggested_coins,
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dec, decimal_add, decimal_sub, ema, exists_record, insert_pre_suggested_coins,
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limit_order_sell, rsi, select_filled_buy_orders, stoch_rsi, supertrend, try_join_all, AllData,
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limit_order_sell, rsi, select_filled_buy_orders, stoch_rsi, supertrend, try_join_all, AllData,
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Arc, Client, ClientBuilder, Decimal, EmaData, ExchangeInfo, FilteredData, Mutex,
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Arc, Client, ClientBuilder, Decimal, EmaData, ExchangeInfo, FilteredData, Mutex,
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RealtimePriceData, RoundingStrategy, RsiData, StochRsiData, SupertrendData, TradeFee, update_record3, adx, AdxData
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RealtimePriceData, RoundingStrategy, RsiData, StochRsiData, SupertrendData, TradeFee, update_record3, adx, AdxData, MacdData, ema_macd
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};
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};
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@ -25,7 +25,7 @@ pub async fn strategist_test(
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// test_symbols.push(symbol_2);
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// test_symbols.push(symbol_2);
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// test_symbols.push(symbol_3);
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// test_symbols.push(symbol_3);
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let a = adx(10, 10, &alldata.rt_price_30m_vec, &test_symbols).await?;
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let a = ema_macd(3, 7, 3, &alldata.rt_price_1d_vec, &test_symbols).await?;
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println!("{:?}", a);
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println!("{:?}", a);
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Ok(())
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Ok(())
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@ -2,7 +2,6 @@
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#![allow(warnings)]
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#![allow(warnings)]
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use crate::database_control::*;
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use crate::database_control::*;
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use crate::value_estimation_team::datapoints::price_data::RealtimePriceData;
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use crate::value_estimation_team::datapoints::price_data::RealtimePriceData;
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use csv::{DeserializeRecordsIter, StringRecord};
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use futures::future::try_join_all;
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use futures::future::try_join_all;
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use serde::Deserialize;
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use serde::Deserialize;
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use sqlx::FromRow;
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use sqlx::FromRow;
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@ -1,15 +1,38 @@
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use crate::value_estimation_team::indicators::ema::EmaData;
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use crate::value_estimation_team::indicators::ema::{EmaData, ema};
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use crate::value_estimation_team::datapoints::price_data::RealtimePriceData;
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use super::FilteredData;
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use std::sync::Arc;
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use tokio::{fs::*, io::AsyncWriteExt, sync::Mutex, time::*};
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use futures::future::try_join_all;
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#[derive(Debug, Clone)]
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#[derive(Debug, Clone)]
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pub struct EmaMacd {
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pub struct MacdData {
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pub macd_value: f64,
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pub macd_value: f64,
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pub signal_value: f64,
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pub close_time: i64,
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pub close_time: i64,
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}
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}
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impl EmaMacd {
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impl MacdData {
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fn new() -> EmaMacd {
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fn new() -> MacdData {
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let a = EmaMacd {
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let a = MacdData {
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macd_value: 0.0,
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macd_value: 0.0,
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signal_value: 0.0,
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close_time: 0,
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};
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a
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}
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}
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#[derive(Debug, Clone)]
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pub struct TempData {
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pub value: f64,
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pub close_time: i64,
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}
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impl TempData {
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fn new() -> TempData {
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let a = TempData {
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value: 0.0,
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close_time: 0,
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close_time: 0,
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};
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};
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a
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a
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@ -17,67 +40,121 @@ impl EmaMacd {
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}
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}
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pub async fn ema_macd(
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pub async fn ema_macd(
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fast_ema: &Vec<EmaData>,
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fast_len: usize,
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slow_ema: &Vec<EmaData>,
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slow_len: usize,
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signal_length: usize,
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signal_smoothing: usize,
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) -> Result<Vec<EmaMacd>, Box<dyn std::error::Error + Send + Sync>> {
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input_rt_data: &Vec<(String, Vec<RealtimePriceData>)>,
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let mut macd = EmaMacd::new();
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filtered_symbols: &Vec<FilteredData>
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let mut macd_vec: Vec<EmaMacd> = Vec::new();
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) -> Result<Vec<(String, Vec<MacdData>)>, Box<dyn std::error::Error + Send + Sync>> {
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let mut macd_signal_vec: Vec<EmaMacd> = Vec::new();
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let mut macd_oscil_vec: Vec<(String, Vec<MacdData>)> = Vec::new();
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let mut macd_oscil_vec: Vec<EmaMacd> = Vec::new();
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if fast_ema.len() >= signal_length && slow_ema.len() >= signal_length {
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let fast_emas = ema(fast_len, input_rt_data, filtered_symbols).await?;
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let result = fast_ema.binary_search_by_key(
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let slow_emas = ema(slow_len, input_rt_data, filtered_symbols).await?;
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&slow_ema.first().unwrap().close_time,
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let mut macd_data_wrapper: Vec<(String, Vec<MacdData>)> = Vec::new();
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|&EmaData {
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let mut macd_data_wrapper_arc = Arc::new(Mutex::new(macd_data_wrapper));
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ema_value,
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let mut task_vec = Vec::new();
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close_time,
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for filtered_elem in filtered_symbols {
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}| close_time,
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let fast_emas_c = fast_emas.clone();
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);
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let slow_emas_c = slow_emas.clone();
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if result.is_ok() {
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let filtered_elem_c = filtered_elem.clone();
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let temp_vec = fast_ema.get(result.unwrap()..).unwrap();
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let macd_data_wrapper_arc_c = Arc::clone(&macd_data_wrapper_arc);
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let zipped = temp_vec.iter().zip(slow_ema);
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task_vec.push(tokio::spawn(async move {
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for element in zipped {
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let fast_search_result = fast_emas_c.iter().position(|x| x.0 == filtered_elem_c.symbol);
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macd.macd_value = element.0.ema_value - element.1.ema_value;
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let slow_search_result = slow_emas_c.iter().position(|x| x.0 == filtered_elem_c.symbol);
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macd.close_time = element.0.close_time;
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macd_vec.push(macd.clone());
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}
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// making signal
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if fast_search_result.is_some_and(|a| fast_emas_c[a].1.len() >= signal_smoothing) &&
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let macd_vec_window = macd_vec.windows(signal_length);
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slow_search_result.is_some_and(|a| slow_emas_c[a].1.len() >= signal_smoothing) {
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for window in macd_vec_window {
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let fast_ema = fast_emas_c[fast_search_result.unwrap()].1.clone();
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let mut sum_value = 0.0;
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let slow_ema = slow_emas_c[fast_search_result.unwrap()].1.clone();
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for element in window {
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let result = fast_ema.binary_search_by_key(
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sum_value += element.macd_value;
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&slow_ema.first().unwrap().close_time,
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}
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|&EmaData {
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macd.macd_value = sum_value / signal_length as f64;
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ema_value,
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macd.close_time = window.last().unwrap().close_time;
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close_time,
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macd_signal_vec.push(macd.clone());
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}| close_time,
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}
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);
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if result.is_ok() {
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// making MACD
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let temp_vec = fast_ema.get(result.unwrap()..).unwrap();
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let zipped = temp_vec.iter().zip(slow_ema);
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let mut macd = TempData::new();
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let mut macd_vec: Vec<TempData> = Vec::new();
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for element in zipped {
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macd.value = element.0.ema_value - element.1.ema_value;
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macd.close_time = element.0.close_time;
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macd_vec.push(macd.clone());
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}
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// making signal (smoothed MACD)
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// TODO: this should be calculated in EMA (currently, SMA)
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// let macd_vec_window = macd_vec.windows(signal_smoothing);
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// let mut macd_signal_vec: Vec<TempData> = Vec::new();
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// for window in macd_vec_window {
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// let mut sum_value = 0.0;
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// for element in window {
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// sum_value += element.value;
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// }
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// macd.value = sum_value / signal_smoothing as f64;
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// macd.close_time = window.last().unwrap().close_time;
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// macd_signal_vec.push(macd.clone());
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// }
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let mut macd_signal = TempData::new();
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let mut macd_signal_vec: Vec<TempData> = Vec::new();
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let partial_vec1 = macd_vec.get(..signal_smoothing).unwrap();
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let partial_vec2 = macd_vec.get(signal_smoothing..).unwrap();
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let result = macd_vec.binary_search_by_key(
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let mut sma_for_initial_value = 0.0;
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&macd_signal_vec.first().unwrap().close_time,
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for element in partial_vec1 {
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|&EmaMacd {
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sma_for_initial_value += element.value;
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macd_value,
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}
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close_time,
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sma_for_initial_value /= signal_smoothing as f64;
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}| close_time,
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);
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if result.is_ok() {
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let result = macd_vec.get(result.unwrap()..);
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if result.is_some() {
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if result.unwrap().len() == macd_signal_vec.len() {
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let zipped = result.unwrap().iter().zip(macd_signal_vec);
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for element in zipped {
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macd_signal.value = sma_for_initial_value;
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macd.macd_value = element.0.macd_value - element.1.macd_value;
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macd_signal.close_time = partial_vec1.last().unwrap().close_time;
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macd.close_time = element.0.close_time;
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macd_signal_vec.push(macd_signal.clone());
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macd_oscil_vec.push(macd.clone());
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let alpha: f64 = 2.0 / (signal_smoothing as f64 + 1.0);
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let mut ema_prev = sma_for_initial_value;
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for element in partial_vec2 {
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let ema_t = (1.0 - alpha) * ema_prev + alpha * element.value;
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macd_signal.value = ema_t;
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macd_signal.close_time = element.close_time;
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macd_signal_vec.push(macd_signal.clone());
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ema_prev = ema_t;
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}
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let result = macd_vec.binary_search_by_key(
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&macd_signal_vec.first().unwrap().close_time,
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|&TempData {
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value,
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close_time,
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}| close_time,
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);
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if result.is_ok() {
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let result = macd_vec.get(result.unwrap()..);
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if result.is_some() {
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let zipped = result.unwrap().iter().zip(macd_signal_vec);
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let mut macd_vec: Vec<MacdData> = Vec::new();
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for element in zipped {
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let mut macd = MacdData::new();
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macd.macd_value = element.0.value;
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macd.signal_value = element.1.value;
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macd.close_time = element.0.close_time;
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macd_vec.push(macd);
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}
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let mut macd_data_wrapper_lock = macd_data_wrapper_arc_c.lock().await;
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macd_data_wrapper_lock.push((filtered_elem_c.symbol.clone(), macd_vec.clone()));
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}
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}
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}
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}
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}
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}
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}
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}
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}
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}));
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}
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}
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try_join_all(task_vec).await?;
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Ok(macd_oscil_vec)
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let a = macd_data_wrapper_arc.lock().await.to_owned();
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Ok(a)
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}
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}
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