8月14日盘前思路
8月14日,我的思路是是先把持仓个股处理好,并没有特别想新参与的目标。
新时达002527,机器人概念
8月11日盘前思路
联合水务603291,早盘11点前,下跌绿盘可以关注。K线技术形态可以。
国缆检测301289,下午下跌绿盘超过10%,接近10日线58.55,可以低吸博反弹。
8月10日盘前思路
8月10日,我的思路是是先把持仓个股处理好,并没有特别想新参与的目标。
科源制药301281,若小幅高开,10点前翻绿逢低关注。
8月9日盘前思路
8月9日,我的思路是是先把持仓个股处理好,并没有特别想新参与的目标。
首创证券、信达证券,券商最多再砸一天,周四开始拉升。逢低关注。
8月8日盘前思路
机器人AI类概念
拓邦股份002139 共进股份603118
逢低关注方正证券601901 ,这股前几日有机构大幅流入,就算不是领涨股,预计也还算相对安全。
8月7日盘前思路
金科股份000656 如果跌破10日线2.29元,可以低吸博反弹。
天晟新材300169 弹性第一股,盘子小。
常温超导这条线,核心个股纳入自选,保持跟踪。
百利电气600468 法尔胜000890 永鼎股份600105
有时候,可以成功,但难成;有时候,可以成功,容易成。
题材方向,决定了是否能成;时机,成功的难易程度。
世间万事皆如此:方向和时机,缺一不可。
8月4日盘前思路
大湖股份600257,预制菜+新零售的属性,同时还叠加了最近强势的大金融,再叠加其低价低市值的优点,平台支撑很强,回踩5日线可以继续低吸
新时达002527,机器人概念
云南城投600239,2进3
LeapFTP 显示服务器端文件名乱码问题处理
opts utf8 off

聚宽策略:获取最热门股票,计算5天涨幅大于25%的股票和10天涨幅大于50%的股票
聚宽策略:获取最热门股票,计算5天涨幅大于25%的股票和10天涨幅大于50%的股票代码如下:from jqdata import * import numpy as np import pandas as pd from six import BytesIO # 读取股票代码列表 body = read_file("hot_stocks.csv") data = pd.read_csv(BytesIO(body)) column1 = data.iloc[:, 2] column2 = data.iloc[:, 1] stocks = column1.tolist() # 获取10天前和5天前的日期 end_date = '2023-06-19' trade_days_10 = get_trade_days(end_date=end_date, count=10) start_date_10 = trade_days_10[0] trade_days_5 = get_trade_days(end_date=end_date, count=5) start_date_5 = trade_days_5[0] # 初始化空列表,存储涨幅超过50%和25%的股票代码和名称 selected_10 = [] selected_5 = [] # 遍历股票代码列表 for name, code in zip(column1, column2): # 获取历史行情数据 df = get_price(code, start_date=start_date_10, end_date=end_date, frequency='daily') # 计算10天涨幅和5天涨幅 change_10 = (df['close'][-1] - df['close'][0]) / df['close'][0] * 100 df = get_price(code, start_date=start_date_5, end_date=end_date, frequency='daily') change_5 = (df['close'][-1] - df['close'][0]) / df['close'][0] * 100 # 打印结果 print("{} {} 10天涨幅: {:.2f}%, 5天涨幅: {:.2f}%".format(code, name, change_10, change_5)) # 判断涨幅是否超过50%和25% if change_10 > 50: selected_10.append(code + ' ' + name) if change_5 > 25: selected_5.append(code + ' ' + name) # 打印符合条件的股票代码和名称列表 print("10天涨幅大于50%的股票: {}".format(selected_10)) print("5天涨幅大于25%的股票: {}".format(selected_5))
运行结果如下:
附用到的文件:标签: 股票量化
模特提示词prompt
2023-6-22 1:17 morefun Stable Diffution
模特prompt:
positive: (8k, RAW photo, best quality, masterpiece:1.2), (realistic, photo-realistic:1.4), (depth of field), highres, absurdres, lora:taiwanDollLikeness_v10:0.4, ulzzang-6500-v1.1, 1girl, solo, nude, ((naked body)), realistic skin texture, skin pores, cute, smile, laughing, (grin), (brown hair , (eyelashes:1.1), medium straight hair, ((small breasts:1.0)), symmetrical eyes, detailed eyeshadow, thigh gap, (looking at viewer:1.3), front, full body,
negative:easynegative, ng_deepnegative_v1_75t, paintings, sketches, ((monochrome)), ((grayscale)), (worst quality:2), (low quality:2), (normal quality:2), lowres, skin spots, acnes, skin blemishes, age spot, penis, glans, dick, text, error, extra digits, fewer digits, cropped, watermark, blurry, words, word, logo, cropped, mutation, deformed, jpeg artifacts, twisted hands, fused fingers, poorly drawn hand, poorly drawn face, poorly drawn lowre, poorly drawn finger, poorly drawn leg, extra fingers, extra limbs, extra arms, extra legs, extra leg, extra arm, extra hand, extra limb, malformed limbs, fused fingers, long neck, cross-eyed, mutated hands, bad body, bad proportions, bad feet, bad nipple, bad anatomy, bad hands, gross proportions, missing finger, missing arm, missing leg, picasso, amputee, deformed, blurry, disfigured, mutated, ugly, blurry face, out of frame, border, bra, panties, clothes, cloth, pants, lace, door, light, lamp, necklace, mirror, paint, animal, chiffon, grenadine, gimp, purfle, disabled body,