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8ddd02c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 | import gradio as gr
from utils import Kline_predict_plot, back_test_plot
with gr.Blocks() as generator:
with gr.Tab("English"):
gr.Markdown("# Available Markets: Stocks(Main China, HongKong, USA and so on) / Cryptocurrencies")
# gr.Markdown("Powered by AI")
with gr.Tab("Predictor"):
# gr.Markdown("Most 5 symbols at once can be put in `Symbols` box.")
once_max_num = 5
gr.Interface(
Kline_predict_plot,
[
gr.Dropdown(["model_predict_sk2", ], label="Predict Model", value='model_predict_sk2'),
gr.Textbox(label="Symbols", lines=1,
placeholder=f"Enter symbols(can't more than {once_max_num} at once), "
f"such as '000001.SH, btc-usd, AAPL, 18010.hk'",
),
gr.Textbox(label="Your Opinion", lines=2,
placeholder=f"Enter your base opinion for next trade day if you have("
f"such as 'I think it would be a big up and I would long absolutely' or "
f"'I shall sell a few'); or just leave here blank.",
),
gr.Dropdown(
["1hour", "1day", "1week", "1month"], label="Frequency Scale", value='1day', info="Kline scale."
),
gr.Slider(label="Feature Saturation", minimum=2, maximum=10, value=3, step=1),
gr.Slider(label="Sensitivity", minimum=2, maximum=20, value=5, step=1),
gr.Checkbox(label="Completed?", value=True, info="Is the latest bar completed?"),
gr.Slider(label="Show Bars", minimum=16, maximum=100, value=21, step=1),
gr.Number(label="Once Max", value=once_max_num, visible=False)
],
[
gr.Textbox(label=f"Ignored Symbols: not available，too new or more than {once_max_num} symbols."),
gr.Gallery(label="Bars Figure", show_label=True, columns=[1]),
],
examples=[
["model_predict_sk2", "000001.sh,600000.sh,000001.sz", "", "1day", 3, 5, True, 21, 5],
["model_predict_sk2", "aapl,goog", "There would be a big up, so long", "1week", 5, 15, True, 21, 5],
["model_predict_sk2", "btc-usd,eth-btc", "A big down is coming", "1day", 3, 3, False, 21, 5],
["model_predict_sk2", "btc-usd,000001.sh,1810.hk goog", "", "1day", 3, 10, False, 30, 5],
],
)
with gr.Tab("Back Tester"):
# gr.Markdown("Only 1 symbol at once can be put in `Symbols` box.")
gr.Interface(
back_test_plot,
[
gr.Dropdown(["model_predict_sk2", ], label="Predict Model", value='model_predict_sk2'),
gr.Textbox(label="Symbols", placeholder=f"Enter 1 Symbol, such as 'btc-usd'"),
gr.Dropdown(
["1hour", "1day", "1week", "1month"], label="Frequency Scale", value='1day', info="Kline scale."
),
gr.Slider(label="Feature Saturation", minimum=2, maximum=10, value=3, step=1),
gr.Slider(label="Sensitivity", minimum=2, maximum=20, value=5, step=1),
gr.Slider(label="Test Bars", minimum=10, maximum=200, value=100, step=1),
],
[gr.Gallery(label="Profit Figure", show_label=True, columns=[1])],
examples=[
["model_predict_sk2", "000001.sh", "1day", 3, 5, 20],
["model_predict_sk2", "btc-usd", "1day", 3, 10, 30],
["model_predict_sk2", "aapl", "1week", 5, 15, 80],
],
)
with gr.Tab("中文"):
gr.Markdown("# 可用市场: 股票(A股、港股、美股等) / 加密货币")
with gr.Tab("预测器"):
# gr.Markdown("`交易标的` 框中一次最多可同时输入5个标的")
once_max_num = 5
gr.Interface(
Kline_predict_plot,
[
gr.Dropdown(["model_predict_sk2", ], label="预测模型", value='model_predict_sk2'),
gr.Textbox(label="交易标的", lines=2,
placeholder=f"请输入要预测的交易标的(一次最多不能超过{once_max_num}个), "
f"例如输入： \"000001.SH, btc-usd, AAPL, 18010.hk\"",
),
gr.Textbox(label="主观观点", lines=2,
placeholder=f"请输入你的主观多空观点(例如输入： \"我认为后市会大涨，我要全仓做多\" 或者 "
f"\"我认为应该少量卖出一部分\"); 如果没有明确的多空观点，此处无需输入"),
gr.Dropdown(
["1hour", "1day", "1week", "1month"], label="K线级别", value='1day',
info="选择小时K线、日K线、周K线或者月K线"
),
gr.Slider(label="特征饱和度", minimum=2, maximum=10, value=3, step=1),
gr.Slider(label="敏感度", minimum=2, maximum=20, value=5, step=1),
gr.Checkbox(label="已完成?", value=True, info="最新的K线是否已经完成?"),
gr.Slider(label="展示K线数", minimum=16, maximum=100, value=21, step=1),
gr.Number(label="最多预测数", value=once_max_num, visible=False)
],
[
gr.Textbox(label=f"有误交易标的: 不可用、太新或者一次预测数大于{once_max_num}个"),
gr.Gallery(label="K线图", show_label=True, columns=[1]),
],
examples=[
["model_predict_sk2", "000001.sh,600000.sh,000001.sz", "", "1day", 3, 5, True, 21, 5],
["model_predict_sk2", "aapl,goog", "我认为后市会大涨，我要全仓做多", "1week", 5, 15, True, 21, 5],
["model_predict_sk2", "btc-usd,eth-btc", "后市很可能会大幅下跌", "1day", 3, 3, False, 21, 5],
["model_predict_sk2", "btc-usd,000001.sh,1810.hk goog", "", "1day", 3, 10, False, 30, 5],
],
)
with gr.Tab("回测器"):
# gr.Markdown("Only 1 symbol at once can be put in `Symbols` box.")
gr.Interface(
back_test_plot,
[
gr.Dropdown(["model_predict_sk2", ], label="预测模型", value='model_predict_sk2'),
gr.Textbox(label="交易标的", placeholder=f"请输入一个交易标的, 例如输入：\"btc-usd\""),
gr.Dropdown(
["1hour", "1day", "1week", "1month"], label="K线级别", value='1day',
info="选择小时K线、日K线、周K线或者月K线"
),
gr.Slider(label="特征饱和度", minimum=2, maximum=10, value=3, step=1),
gr.Slider(label="敏感度", minimum=2, maximum=20, value=5, step=1),
gr.Slider(label="回测K线数", minimum=10, maximum=200, value=100, step=1),
],
[gr.Gallery(label="回测曲线", show_label=True, columns=[1])],
examples=[
["model_predict_sk2", "000001.sh", "1day", 3, 5, 20],
["model_predict_sk2", "btc-usd", "1day", 3, 10, 30],
["model_predict_sk2", "aapl", "1week", 5, 15, 80],
],
)
generator.queue(max_size=1).launch()
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