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 v0.1.95b\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: 3\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\": 3}\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.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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"[+] Downloading['D']: SPY\n",
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"[i] Runtime: 26.5277 ms (0.0265 s)\n",
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"[+] Downloading['D']: QQQ\n",
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"[i] Runtime: 15.1635 ms (0.0152 s)\n",
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"[+] Downloading['D']: AAPL\n",
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"[i] Runtime: 15.9123 ms (0.0159 s)\n",
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"[+] Downloading['D']: TSLA\n",
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"[i] Runtime: 13.5791 ms (0.0136 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 (251, 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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"2019-09-03 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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"2019-09-09 NaN\n",
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" ... \n",
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"2020-08-24 407.982853\n",
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"2020-08-25 411.563918\n",
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"2020-08-26 415.270823\n",
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"2020-08-27 418.595104\n",
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"2020-08-28 421.757257\n",
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"Name: EMA_50, Length: 251, 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 0x118f30730>"
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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 0x118e34a00>"
|
|
]
|
|
},
|
|
"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 0x11911a370>"
|
|
]
|
|
},
|
|
"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
|
|
}
|