CDL3INSIDE
integer = CDL3INSIDE(open, high, low, close)
- 0 = No Signal
- -100 = Bearish Signal
- 100 = Bullish Signal
The three inside technical analysis patterns indicate a market reversal. To detect this pattern you need at multiple candles (time periods.) The first set of candles are used to indicate trend and the last three are used in the determination of the pattern.
Bull Reversals (Moving from Downtrend to Uptrend) occur when:
- The market is trending down.
- The 1st candle is red or black and a large differential between open and close price. This is a candle where the time period had a higher open and lower close.
- The 2nd candle is green or white and a smaller differential between open and close price.
- The 3rd candle is green or white with a closing price above the close of the 2nd candle.
The Bear Reversals (Moving from Uptrend to Downtrend) occur when:
- The market is trending up.
- The 1st candle is green or with and a large differential between open and close price. This is a candle where the time period had a lower open and higher close.
- The 2nd candle is red or black and a smaller differential between open and close price.
- The 3rd candle is red or black with a closing price below the close of the 2nd candle.
The following chart shows $BA in 4th Quarter of 2017. The blue lines indicate a +100 signal on 3 Inside from TA-LIB
Candlestick Plot
Working Example
from cloudquant.interfaces import Strategy
from collections import OrderedDict
import ktgfunc
import talib
class WE_CDL3INSIDE(Strategy):
def on_start(self, md, order, service, account):
# symbol and timestamp
print(self.symbol + ": " + service.time_to_string(service.system_time))
daily_bars = md.bar.daily(start=-100)
close = daily_bars.close
high = daily_bars.high
low = daily_bars.low
open = daily_bars.open
integer = talib.CDL3INSIDE(open, high, low, close)
# get the date values
dates = service._context.market._storage.market_hours.keys()
dateList = []
for date in dates:
dateList.append(str(date.strftime('%Y-%m-%d')))
dates = sorted(dateList, reverse=True)[1:101]
dates.sort()
dict = OrderedDict()
dict['date'] = dates
dict['open'] = open
dict['high'] = high
dict['low'] = low
dict['close'] = close
dict['integer'] = integer
symbol = 'CDL3INSIDE: ' + self.symbol
print ktgfunc.talib_table(symbol, 1, dict)
Console
GOOG: 2014-05-22 09:30:00.000000
CDL3INSIDE: GOOG | |||||
---|---|---|---|---|---|
Input | Output | ||||
date | open | high | low | close | integer |
2013-12-27 | 284.00 | 284.00 | 276.46 | 279.23 | 0.00 |
2013-12-30 | 280.60 | 283.21 | 279.33 | 279.99 | 0.00 |
2013-12-31 | 283.45 | 283.50 | 278.46 | 278.48 | 0.00 |
2014-01-02 | 279.36 | 284.23 | 279.36 | 283.58 | 0.00 |
2014-01-03 | 362.98 | 362.98 | 281.10 | 283.50 | 0.00 |
2014-01-06 | 569.85 | 587.28 | 564.13 | 569.74 | 0.00 |
2014-01-07 | 574.65 | 577.77 | 543.00 | 543.14 | 0.00 |
2014-01-08 | 540.74 | 548.48 | 527.15 | 538.15 | 0.00 |
2014-01-09 | 542.60 | 555.00 | 541.61 | 554.90 | 0.00 |
2014-01-10 | 559.62 | 565.37 | 552.95 | 564.14 | 0.00 |
2014-01-13 | 565.00 | 565.00 | 539.90 | 540.95 | 0.00 |
2014-01-14 | 532.55 | 540.00 | 526.53 | 530.60 | 0.00 |
2014-01-15 | 538.25 | 544.10 | 529.56 | 532.52 | 0.00 |
2014-01-16 | 535.71 | 538.45 | 518.46 | 536.44 | 0.00 |
2014-01-17 | 543.00 | 557.00 | 540.00 | 556.54 | 0.00 |
2014-01-21 | 548.81 | 549.50 | 531.15 | 536.10 | 0.00 |
2014-01-22 | 536.10 | 536.70 | 525.60 | 528.62 | 0.00 |
2014-01-23 | 528.64 | 537.23 | 527.51 | 534.81 | 0.00 |
2014-01-24 | 533.79 | 533.87 | 526.25 | 526.94 | 0.00 |
2014-01-27 | 529.97 | 531.65 | 522.12 | 525.16 | 0.00 |
2014-01-28 | 522.51 | 524.70 | 515.42 | 516.18 | 0.00 |
2014-01-29 | 517.18 | 518.48 | 502.80 | 517.15 | 0.00 |
2014-01-30 | 516.90 | 529.46 | 516.32 | 527.70 | 0.00 |
2014-01-31 | 527.60 | 528.00 | 522.52 | 526.66 | 0.00 |
2014-02-03 | 527.11 | 532.93 | 523.88 | 531.35 | 0.00 |
2014-02-04 | 533.76 | 534.00 | 525.61 | 527.93 | 0.00 |
2014-02-05 | 524.82 | 528.90 | 521.32 | 527.81 | 0.00 |
2014-02-06 | 525.23 | 526.81 | 515.06 | 515.14 | 0.00 |
2014-02-07 | 515.79 | 516.68 | 503.30 | 509.96 | 0.00 |
2014-02-10 | 508.46 | 517.23 | 506.45 | 511.00 | 0.00 |
2014-02-11 | 510.75 | 519.90 | 504.20 | 519.03 | 0.00 |
2014-02-12 | 523.51 | 530.19 | 519.01 | 529.92 | 0.00 |
2014-02-13 | 530.89 | 536.07 | 529.51 | 533.09 | 0.00 |
2014-02-14 | 533.00 | 533.00 | 525.29 | 526.65 | 0.00 |
2014-02-18 | 525.70 | 525.87 | 517.42 | 519.98 | 0.00 |
2014-02-19 | 521.39 | 521.80 | 515.44 | 520.63 | 0.00 |
2014-02-20 | 519.70 | 529.78 | 517.58 | 528.86 | 100.00 |
2014-02-21 | 529.74 | 536.23 | 526.30 | 529.77 | 0.00 |
2014-02-24 | 532.90 | 539.18 | 531.91 | 538.94 | 0.00 |