mirror of
https://github.com/wassname/pandas-ta.git
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572 lines
186 KiB
Plaintext
572 lines
186 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Strategy Analysis with **Pandas TA** and AI/ML\n",
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"* This is a **Work in Progress** and subject to change!\n",
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"* Contributions are welcome and accepted!\n",
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"* Examples below are for **educational purposes only**."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Required Packages\n",
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"##### Uncomment the packages you need to install or are missing"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"#!pip install numpy\n",
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"#!pip install pandas\n",
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"#!pip install mplfinance\n",
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"#!pip install pandas-datareader\n",
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"#!pip install requests_cache\n",
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"#!pip install alphaVantage-api"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Populating the interactive namespace from numpy and matplotlib\n",
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"Numpy v1.18.3\n",
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"Pandas v1.1.0\n",
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"mplfinance v0.12.6a3\n",
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"Pandas TA v0.2.12b\n"
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]
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}
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],
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"source": [
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"%pylab inline\n",
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"import datetime as dt\n",
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"import random as rnd\n",
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"from sys import float_info as sflt\n",
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"\n",
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"import numpy as np\n",
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"import pandas as pd\n",
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"pd.set_option('max_rows', 100)\n",
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"pd.set_option('max_columns', 20)\n",
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"\n",
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"import mplfinance as mpf\n",
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"\n",
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"from alphaVantageAPI.alphavantage import AlphaVantage\n",
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"import pandas_ta as ta\n",
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"\n",
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"from watchlist import colors, Watchlist\n",
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"\n",
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"print(f\"Numpy v{np.__version__}\")\n",
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"print(f\"Pandas v{pd.__version__}\")\n",
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"print(f\"mplfinance v{mpf.__version__}\")\n",
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"print(f\"Pandas TA v{ta.version}\")\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## MISC Functions"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"def recent_bars(df, tf: str = \"1y\"):\n",
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" # All Data: 0, Last Four Years: 0.25, Last Two Years: 0.5, This Year: 1, Last Half Year: 2, Last Quarter: 4\n",
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" yearly_divisor = {\"all\": 0, \"10y\": 0.1, \"5y\": 0.2, \"4y\": 0.25, \"3y\": 1./3, \"2y\": 0.5, \"1y\": 1, \"6mo\": 2, \"3mo\": 4}\n",
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" yd = yearly_divisor[tf] if tf in yearly_divisor.keys() else 0\n",
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" return int(ta.RATE[\"TRADING_DAYS_PER_YEAR\"] / yd) if yd > 0 else df.shape[0]"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Collect some Data"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[!] Loading All: SPY, QQQ, AAPL, TSLA\n",
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"[i] Loaded['D']: SPY_D.csv\n",
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"[i] Runtime: 1812.7836 ms (1.8128 s)\n",
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"[i] Loaded['D']: QQQ_D.csv\n",
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"[i] Runtime: 1747.0058 ms (1.7470 s)\n",
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"[i] Loaded['D']: AAPL_D.csv\n",
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"[i] Runtime: 1105.7967 ms (1.1058 s)\n",
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"[i] Loaded['D']: TSLA_D.csv\n",
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"[i] Runtime: 906.7782 ms (0.9068 s)\n"
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]
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}
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],
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"source": [
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"tf = \"D\"\n",
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"tickers = [\"SPY\", \"QQQ\", \"AAPL\", \"TSLA\"]\n",
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"watch = Watchlist(tickers, tf=tf)\n",
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"watch.strategy = ta.CommonStrategy\n",
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"watch.load(tickers, timed=True, analyze=True, verbose=False)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Select an Asset"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"AAPL (5241, 10)\n",
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"Columns: open, high, low, close, volume, SMA_10, SMA_20, SMA_50, SMA_200, VOL_SMA_20\n"
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]
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}
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],
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"source": [
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"ticker = tickers[2]\n",
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"# watch.data[ticker].ta.constants(True, [0, 0, 0])\n",
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"print(f\"{ticker} {watch.data[ticker].shape}\\nColumns: {', '.join(list(watch.data[ticker].columns))}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Trim it"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"AAPL (252, 10)\n",
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"Columns: open, high, low, close, volume, SMA_10, SMA_20, SMA_50, SMA_200, VOL_SMA_20\n"
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]
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}
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],
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"source": [
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"duration = \"1y\"\n",
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"recent = recent_bars(watch.data[ticker], duration)\n",
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"asset = watch.data[ticker].copy().tail(recent)\n",
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"print(f\"{ticker} {asset.shape}\\nColumns: {', '.join(list(asset.columns))}\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Create a Trend"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"date\n",
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"2019-08-30 NaN\n",
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"2019-09-03 NaN\n",
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"2019-09-04 NaN\n",
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"2019-09-05 NaN\n",
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"2019-09-06 NaN\n",
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" ... \n",
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"2020-08-24 407.982918\n",
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"2020-08-25 411.563980\n",
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"2020-08-26 415.270883\n",
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"2020-08-27 418.595162\n",
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"2020-08-28 421.757313\n",
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"Name: EMA_50, Length: 252, dtype: float64"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"# Example Long Trends\n",
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"# long = ta.sma(asset.close, 10) < ta.sma(asset.close, 20) # SMA(10) > SMA(20)\n",
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"# long = ta.ema(asset.close, 8) > ta.ema(asset.close, 21) # EMA(8) > EMA(21)\n",
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"long = ta.increasing(ta.ema(asset.close, 50))\n",
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"# long = ta.macd(asset.close).iloc[:,1] > 0 # MACD Histogram is positive\n",
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"\n",
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"asset.ta.ema(length=8, append=True)\n",
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"asset.ta.ema(length=21, append=True)\n",
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"asset.ta.ema(length=50, append=True)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Calculate Trend Returns from the long trend"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>CLTR</th>\n",
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" <th>TR_LOGRET</th>\n",
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" <th>CLTR_Trends</th>\n",
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" <th>CLTR_Trades</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>date</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>2020-08-24</th>\n",
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" <td>0.629078</td>\n",
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" <td>0.011889</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-08-25</th>\n",
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" <td>0.620840</td>\n",
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" <td>-0.008238</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-08-26</th>\n",
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" <td>0.634348</td>\n",
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" <td>0.013507</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-08-27</th>\n",
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" <td>0.622321</td>\n",
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" <td>-0.012026</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2020-08-28</th>\n",
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" <td>0.620700</td>\n",
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" <td>-0.001621</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" CLTR TR_LOGRET CLTR_Trends CLTR_Trades\n",
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"date \n",
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"2020-08-24 0.629078 0.011889 1 0\n",
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"2020-08-25 0.620840 -0.008238 1 0\n",
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"2020-08-26 0.634348 0.013507 1 0\n",
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"2020-08-27 0.622321 -0.012026 1 0\n",
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"2020-08-28 0.620700 -0.001621 1 0"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"trendy = asset.ta.trend_return(trend=long, cumulative=True, append=True)\n",
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"trendy.tail() # Third Column is the long trend; binary sequences"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Trend Returns and Cumulative Trend Returns"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"<matplotlib.axes._subplots.AxesSubplot at 0x11a0cc880>"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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},
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{
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"data": {
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"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1152x216 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"cltr = trendy.iloc[:,0]\n",
|
|
"tr = trendy.iloc[:,1]\n",
|
|
"\n",
|
|
"trendy.iloc[:,:2].plot(figsize=(16, 3), color=colors(\"BkBl\"))\n",
|
|
"cltr.plot(figsize=(16, 3), kind=\"area\", stacked=False, color=colors(\"SvGy\")[0], alpha=0.25, grid=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# Total Return"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.axes._subplots.AxesSubplot at 0x11a779940>"
|
|
]
|
|
},
|
|
"execution_count": 10,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1152x360 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"capital = 10000\n",
|
|
"\n",
|
|
"total_return = cltr.cumsum() * capital\n",
|
|
"positive_return = total_return[total_return > 0]\n",
|
|
"negative_return = total_return[total_return <= 0]\n",
|
|
"trdf = pd.DataFrame({\"tr+\": positive_return, \"tr-\": negative_return})\n",
|
|
"trdf.plot(figsize=(16, 5), color=colors(), kind=\"area\", stacked=False, alpha=0.25, grid=True)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Long and Short Trends"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.axes._subplots.AxesSubplot at 0x10e090670>"
|
|
]
|
|
},
|
|
"execution_count": 11,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1152x61.2 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"long_trend = (trendy.iloc[:,-2] > 0).astype(int)\n",
|
|
"short_trend = (1 - long_trend).astype(int)\n",
|
|
"\n",
|
|
"long_trend.plot(figsize=(16, 0.85), kind=\"area\", stacked=True, color=colors()[0], alpha=0.25)\n",
|
|
"short_trend.plot(figsize=(16, 0.85), kind=\"area\", stacked=True, color=colors()[1], alpha=0.25)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"## Entries & Exits"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"name": "stdout",
|
|
"output_type": "stream",
|
|
"text": [
|
|
"Total Trades: 7\n"
|
|
]
|
|
},
|
|
{
|
|
"data": {
|
|
"image/png": 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\n",
|
|
"text/plain": [
|
|
"<Figure size 1152x720 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {
|
|
"needs_background": "light"
|
|
},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"entries = (trendy.iloc[:,-1] > 0).astype(int) * asset.close\n",
|
|
"entries[entries < 0.0001] = np.NaN\n",
|
|
"entries.name = \"entries\"\n",
|
|
"exits = (trendy.iloc[:,-1] < 0).astype(int) * asset.close\n",
|
|
"exits[exits < 0.0001] = np.NaN\n",
|
|
"exits.name = \"exits\"\n",
|
|
"\n",
|
|
"first_date = asset.index[0]\n",
|
|
"last_date = asset.index[-1]\n",
|
|
"f_date = f\"{first_date.day_name()} {first_date.month}-{first_date.day}-{first_date.year}\"\n",
|
|
"l_date = f\"{last_date.day_name()} {last_date.month}-{last_date.day}-{last_date.year}\"\n",
|
|
"last_ohlcv = f\"Last OHLCV: ({asset.iloc[-1].open}, {asset.iloc[-1].high}, {asset.iloc[-1].low}, {asset.iloc[-1].close}, {int(asset.iloc[-1].volume)})\"\n",
|
|
"ptitle = f\"\\n{ticker} ({tf} | {duration}) from {f_date} to {l_date} ({recent} bars)\\n{last_ohlcv}\"\n",
|
|
"\n",
|
|
"# chart = asset[\"close\"] #asset[[\"close\", \"SMA_10\", \"SMA_20\", \"SMA_50\", \"SMA_200\"]]\n",
|
|
"# chart = asset[[\"close\", \"SMA_10\", \"SMA_20\"]]\n",
|
|
"chart = asset[[\"close\", \"EMA_8\", \"EMA_21\", \"EMA_50\"]]\n",
|
|
"chart.plot(figsize=(16, 10), color=colors(\"BkGrRd\"), title=ptitle, grid=True)\n",
|
|
"entries.plot(figsize=(16, 10), color=colors(\"FcLi\")[1], marker=\"^\", markersize=12, alpha=0.8)\n",
|
|
"exits.plot(figsize=(16, 10), color=colors(\"FcLi\")[0], marker=\"v\", markersize=12, alpha=0.8, grid=True)\n",
|
|
"\n",
|
|
"total_trades = trendy.iloc[:,-1].abs().sum()\n",
|
|
"print(f\"Total Trades: {total_trades}\")\n",
|
|
"\n",
|
|
"entries_ = entries.dropna()\n",
|
|
"exits_ = exits.dropna()\n",
|
|
"all_trades = trendy.iloc[:,-1].copy().dropna()\n",
|
|
"# all_trades[all_trades != 0]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"# AI Analysis"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": []
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.8.2"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 4
|
|
}
|