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David Brazda 1.1 1 = Resources =
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David Brazda 1.2 3 algo-trading basics [[https:~~/~~/algo-trading.readthedocs.io/en/latest/data-science-basics.html>>https://algo-trading.readthedocs.io/en/latest/data-science-basics.html]] a [[github>>https://github.com/awoo424/algotrading]]
David Brazda 1.1 4
David Brazda 1.3 5
David Brazda 4.2 6 = Python and stocks =
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8 [[https:~~/~~/github.com/LastAncientOne/SimpleStockAnalysisPython>>https://github.com/LastAncientOne/SimpleStockAnalysisPython]]
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David Brazda 1.3 11 = Zajimavé indikátory =
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13 Podívat se na Prior SAR: The SAR value for previous period.
14 Extreme Point (EP): The highest high of the current uptrend.
15 Acceleration Factor (AF): Starting at 0.02, increases by 0.02 each time the extreme point makes a new high. AF can only reach a maximum of 0.2, no matter how long the uptrend extends.
16 \\Dále se podívat na Commodity Channel Index (CCI)
17 The Commodity Channel Index (CCI) helps identify price reversals, price extremes, and trend strength.
18 Developed by Donald Lambert, CCI is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold. Popis zde - vyzkouset
David Brazda 1.4 19
David Brazda 1.7 20 A také [[ROC>>https://algo-trading.readthedocs.io/en/latest/technical-analysis.html#rate-of-change-roc]]
David Brazda 1.4 21
22 Popis základních indikátorů a  jak na ně v pythonu je zde (projít!!)
David Brazda 1.3 23 [[https:~~/~~/algo-trading.readthedocs.io/en/latest/technical-analysis.html>>url:https://algo-trading.readthedocs.io/en/latest/technical-analysis.html]]
24 \\a dale
25 Rsi divergence
26 [[https:~~/~~/github.com/SpiralDevelopment/RSI-divergence-detector>>url:https://github.com/SpiralDevelopment/RSI-divergence-detector]]
David Brazda 2.1 27
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29 = AI =
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David Brazda 7.1 31 LSTM in stock - příklad [[https:~~/~~/www.kaggle.com/code/faressayah/stock-market-analysis-prediction-using-lstm/notebook>>https://www.kaggle.com/code/faressayah/stock-market-analysis-prediction-using-lstm/notebook]]
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David Brazda 3.2 33 Zajimavý článek [[základy Recurrent Neural Networks>>http://karpathy.github.io/2015/05/21/rnn-effectiveness/]] a [[https:~~/~~/towardsdatascience.com/recurrent-neural-networks-rnns-3f06d7653a85>>https://towardsdatascience.com/recurrent-neural-networks-rnns-3f06d7653a85]]
David Brazda 3.1 34
David Brazda 3.3 35 Příklad - [[singlefeature LSTM model in pytorch>>https://algo-trading.readthedocs.io/en/latest/integrated-strategy.html#single-feature-lstm-model]].
David Brazda 3.1 36
David Brazda 5.2 37 [[Stock Machine learning algorithms on github>>https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock]] ([[LSTM>>https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock/blob/master/Stock_Algorithms/LSTM_RNN_Part2.ipynb]])- projít
David Brazda 2.1 38
David Brazda 4.1 39 Zadání: predikční modely (HFT, 15s dt, střednědobý)
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David Brazda 2.1 41 * - learning data
42 ** vývoj ceny - timeseries relevantní frekvence (trades, 15s ohlc a třeba 1h(1d) ohlc)
43 ** dopočítané/doplněné sloupce k timeseries (indikátory, calendar data a další time related data)
44 ** další doplňující atributy - jako premarket, fair price, trend z minulých období, odhad dnešního dne(dopočítávaný), celkový sentiment(může doplňovat jiný [[model>>https://algo-trading.readthedocs.io/en/latest/sentiment-analysis.html]] z news)
45 *
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