Delete unnecessary threading
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@ -92,32 +92,51 @@ pub async fn list_up_for_buy(
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// 3rd filtering: the latest 5 30m candle close prices > EMA 200
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let filtered_data_2nd = filtered_data_2nd_arc.lock().await.clone();
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let mut filtered_data_3rd: Vec<FilteredData> = Vec::new();
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let mut filtered_data_3rd_arc: Arc<Mutex<Vec<FilteredData>>> =
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Arc::new(Mutex::new(filtered_data_3rd));
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let mut task_vec = Vec::new();
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let ema_vec = ema(200, &alldata.rt_price_30m_vec, &filtered_data_2nd).await?;
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for element in filtered_data_2nd {
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let mut opclo_30m_vec = alldata.rt_price_30m_vec.clone();
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let mut supertrend_vec: Vec<SupertrendData> = Vec::new();
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let ema_vec_c = ema_vec.clone();
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let filtered_data_3rd_arc_c = Arc::clone(&filtered_data_3rd_arc);
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task_vec.push(tokio::spawn(async move {
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let ema_search_result = ema_vec_c.iter().position(|x| x.0 == element.symbol);
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let candle_search_result = opclo_30m_vec.iter().position(|x| x.0 == element.symbol);
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if ema_search_result.is_some() && candle_search_result.is_some() {
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let search_result = ema_vec_c[ema_search_result.unwrap()].1.binary_search_by_key(
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&opclo_30m_vec[candle_search_result.unwrap()].1.last().unwrap().close_time,
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|EmaData {
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ema_value,
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close_time,
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}| *close_time);
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if search_result.is_ok_and(|x| ema_vec_c[ema_search_result.unwrap()].1[search_result.unwrap()].ema_value < opclo_30m_vec[candle_search_result.unwrap()].1[opclo_30m_vec[candle_search_result.unwrap()].1.len()-1].close_price) &&
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search_result.is_ok_and(|x| ema_vec_c[ema_search_result.unwrap()].1[search_result.unwrap()-1].ema_value < opclo_30m_vec[candle_search_result.unwrap()].1[opclo_30m_vec[candle_search_result.unwrap()].1.len()-2].close_price) &&
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search_result.is_ok_and(|x| ema_vec_c[ema_search_result.unwrap()].1[search_result.unwrap()-2].ema_value < opclo_30m_vec[candle_search_result.unwrap()].1[opclo_30m_vec[candle_search_result.unwrap()].1.len()-3].close_price) &&
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search_result.is_ok_and(|x| ema_vec_c[ema_search_result.unwrap()].1[search_result.unwrap()-3].ema_value < opclo_30m_vec[candle_search_result.unwrap()].1[opclo_30m_vec[candle_search_result.unwrap()].1.len()-4].close_price) &&
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search_result.is_ok_and(|x| ema_vec_c[ema_search_result.unwrap()].1[search_result.unwrap()-4].ema_value < opclo_30m_vec[candle_search_result.unwrap()].1[opclo_30m_vec[candle_search_result.unwrap()].1.len()-5].close_price) {
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let mut filtered_3rd_symbols_lock =
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filtered_data_3rd_arc_c.lock().await;
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let ema_search_result = ema_vec.iter().position(|x| x.0 == element.symbol);
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let candle_search_result = alldata.rt_price_30m_vec.iter().position(|x| x.0 == element.symbol);
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if ema_search_result.is_some() && candle_search_result.is_some() {
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let search_result = ema_vec[ema_search_result.unwrap()].1.binary_search_by_key(
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&alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.last().unwrap().close_time,
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|EmaData {
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ema_value,
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close_time,
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}| *close_time);
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if search_result.is_ok_and(|x| ema_vec[ema_search_result.unwrap()].1[search_result.unwrap()].ema_value < alldata.rt_price_30m_vec[candle_search_result.unwrap()].1[alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.len()-1].close_price) &&
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search_result.is_ok_and(|x| ema_vec[ema_search_result.unwrap()].1[search_result.unwrap()-1].ema_value < alldata.rt_price_30m_vec[candle_search_result.unwrap()].1[alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.len()-2].close_price) &&
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search_result.is_ok_and(|x| ema_vec[ema_search_result.unwrap()].1[search_result.unwrap()-2].ema_value < alldata.rt_price_30m_vec[candle_search_result.unwrap()].1[alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.len()-3].close_price) &&
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search_result.is_ok_and(|x| ema_vec[ema_search_result.unwrap()].1[search_result.unwrap()-3].ema_value < alldata.rt_price_30m_vec[candle_search_result.unwrap()].1[alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.len()-4].close_price) &&
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search_result.is_ok_and(|x| ema_vec[ema_search_result.unwrap()].1[search_result.unwrap()-4].ema_value < alldata.rt_price_30m_vec[candle_search_result.unwrap()].1[alldata.rt_price_30m_vec[candle_search_result.unwrap()].1.len()-5].close_price) {
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let mut filtered_data = FilteredData::new();
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filtered_data.symbol = element.symbol.clone();
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filtered_data.closetime = element.closetime;
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filtered_data.current_price = element.current_price;
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filtered_data.stoploss = element.stoploss;
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filtered_data.target_price = element.target_price;
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filtered_data_3rd.push(filtered_data);
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}
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}
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}
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// 4th filtering: 0.5% <= the average amplitude of the latest 10 30m candles <= 1.0%
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let mut filtered_data_4th: Vec<FilteredData> = Vec::new();
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for element in filtered_data_3rd {
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let position_idx = alldata.rt_price_30m_vec.iter().position(|elem| elem.0 == element.symbol);
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if position_idx.is_some() {
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let vec_len = alldata.rt_price_30m_vec[position_idx.unwrap()].1.len();
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if vec_len >= 11 {
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let candles = alldata.rt_price_30m_vec[position_idx.unwrap()].1.get(vec_len-12..vec_len-1).unwrap();
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let windows = candles.windows(2);
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let mut average_amplitude = 0.0;
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for window in windows {
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average_amplitude += (window.last().unwrap().high_price - window.last().unwrap().low_price) / window.first().unwrap().close_price;
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}
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average_amplitude /= 10.0;
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if 0.005 <= average_amplitude && average_amplitude <= 0.01 {
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let mut filtered_data = FilteredData::new();
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filtered_data.symbol = element.symbol.clone();
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filtered_data.closetime = element.closetime;
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@ -125,91 +144,34 @@ pub async fn list_up_for_buy(
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filtered_data.stoploss = element.stoploss;
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filtered_data.target_price = element.target_price;
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filtered_3rd_symbols_lock.push(filtered_data);
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filtered_data_4th.push(filtered_data);
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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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// 4th filtering: 0.5% <= the average amplitude of the latest 10 30m candles <= 1.0%
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let filtered_data_3rd_c = filtered_data_3rd_arc.lock().await.clone();
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let mut filtered_data_4th: Vec<FilteredData> = Vec::new();
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let mut filtered_data_4th_arc: Arc<Mutex<Vec<FilteredData>>> =
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Arc::new(Mutex::new(filtered_data_4th));
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let mut task_vec = Vec::new();
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for element in filtered_data_3rd_c {
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let mut supertrend_vec: Vec<SupertrendData> = Vec::new();
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let rt_price_30m_vec_c = alldata.rt_price_30m_vec.clone();
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let filtered_data_4th_arc_c = Arc::clone(&filtered_data_4th_arc);
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task_vec.push(tokio::spawn(async move {
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let position_idx = rt_price_30m_vec_c.iter().position(|elem| elem.0 == element.symbol);
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if position_idx.is_some() {
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let vec_len = rt_price_30m_vec_c[position_idx.unwrap()].1.len();
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if vec_len >= 11 {
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let candles = rt_price_30m_vec_c[position_idx.unwrap()].1.get(vec_len-12..vec_len-1).unwrap();
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let windows = candles.windows(2);
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let mut average_amplitude = 0.0;
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for window in windows {
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average_amplitude += (window.last().unwrap().high_price - window.last().unwrap().low_price) / window.first().unwrap().close_price;
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}
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average_amplitude /= 10.0;
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if 0.005 <= average_amplitude && average_amplitude <= 0.01 {
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let mut filtered_data_4th_lock = filtered_data_4th_arc_c.lock().await;
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let mut filtered_data = FilteredData::new();
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filtered_data.symbol = element.symbol.clone();
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filtered_data.closetime = element.closetime;
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filtered_data.current_price = element.current_price;
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filtered_data.stoploss = element.stoploss;
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filtered_data.target_price = element.target_price;
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filtered_data_4th_lock.push(filtered_data);
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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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// 5th filtering: 30m StochRSI (RSI_len: 10, StochRSI_len: 10, K: 3, D: 3) previous K < 5 && current K > previous K
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let filtered_data_4th_c = filtered_data_4th_arc.lock().await.clone();
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let mut filtered_data_5th: Vec<FilteredData> = Vec::new();
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let mut filtered_data_5th_arc: Arc<Mutex<Vec<FilteredData>>> =
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Arc::new(Mutex::new(filtered_data_5th));
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let mut task_vec = Vec::new();
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let stoch_rsis = stoch_rsi(10, 10, 3, 3, &alldata.rt_price_30m_vec, &filtered_data_4th_c).await?;
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for element in filtered_data_4th_c {
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let stoch_rsis_c = stoch_rsis.clone();
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let rt_price_30m_vec_c = alldata.rt_price_30m_vec.clone();
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let filtered_data_5th_arc_c = Arc::clone(&filtered_data_5th_arc);
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let stoch_rsis = stoch_rsi(10, 10, 3, 3, &alldata.rt_price_30m_vec, &filtered_data_4th).await?;
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for element in filtered_data_4th {
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let position_idx = stoch_rsis.iter().position(|elem| elem.0 == element.symbol);
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if position_idx.is_some() {
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let stoch_rsi_vec = stoch_rsis[position_idx.unwrap()].1.clone();
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let search_result = stoch_rsi_vec.iter().position(|x| x.close_time == element.closetime);
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if search_result.is_some_and(|a| stoch_rsi_vec[a-1].k < 5.0 && stoch_rsi_vec[a].k > stoch_rsi_vec[a-1].k) {
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let mut filtered_data = FilteredData::new();
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filtered_data.symbol = element.symbol.clone();
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filtered_data.closetime = element.closetime;
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filtered_data.current_price = element.current_price;
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filtered_data.stoploss = element.stoploss;
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filtered_data.target_price = element.target_price;
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task_vec.push(tokio::spawn(async move {
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let position_idx = stoch_rsis_c.iter().position(|elem| elem.0 == element.symbol);
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if position_idx.is_some() {
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let stoch_rsi_vec = stoch_rsis_c[position_idx.unwrap()].1.clone();
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let search_result = stoch_rsi_vec.iter().position(|x| x.close_time == element.closetime);
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if search_result.is_some_and(|a| stoch_rsi_vec[a-1].k < 5.0 && stoch_rsi_vec[a].k > stoch_rsi_vec[a-1].k) {
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let mut filtered_data_5th_lock = filtered_data_5th_arc_c.lock().await;
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let mut filtered_data = FilteredData::new();
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filtered_data.symbol = element.symbol.clone();
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filtered_data.closetime = element.closetime;
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filtered_data.current_price = element.current_price;
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filtered_data.stoploss = element.stoploss;
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filtered_data.target_price = element.target_price;
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filtered_data_5th_lock.push(filtered_data);
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}
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filtered_data_5th.push(filtered_data);
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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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let final_filtered_data = duplicate_filter(1, &filtered_data_5th_arc.lock().await.clone()).await?;
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let final_filtered_data = duplicate_filter(1, &filtered_data_5th).await?;
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insert_pre_suggested_coins(1, false, &final_filtered_data, &alldata).await;
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Ok(())
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