Kal’s MTF ADX Rangoli RollerKaly MTF ADX Rangoli Roller is a method/study for finding trending stocks, indexes and cryptocurrencies using two different data periods (10, 5) of ADX Overlap over different time-frames (10m, 1H, 4H, 1D, 1W, 1M). In the study, I used 5-Period ADX for all mentioned time-frames. You may use 10-Period ADX for lower time-frames especially 10m and 1H.
Sample Image of the pinescript code(at the end of this post) in Tradingview looks as follows:
Note: Kal's MTF ADX Rangoli Roller is the lower Plot. The upper plot is KAL’s ADX Overlap Technical Study with MACD Filter( )
Description:
----------------
In the study plot, the lowest row is 10m, row above is 1H, row above is 4H, then 1D, then 1W and highest row is 1M
Lime(Bright Green) dot implies Trending Uptrend for that time-frame (first phase)
Green dot implies Trending Uptrend for that time-frame (second phase near exhaustion)
Red dot implies Trending Downward for that time-frame (first phase)
Maroon dot implies Trending Downward for that time-frame (second phase near exhaustion)
Lime cross implies Strong Trending Uptrend for that time-frame (first phase)
Green cross implies Strong Trending Uptrend for that time-frame (second phase near exhaustion)
Red cross implies Trending Strong Downward for that time-frame (first phase)
Maroon cross implies Trending Strong Downward for that time-frame (second phase near exhaustion)
Yellow is ‘Squeeze On’ setting. During the squeeze period, the ADX signals are almost always ineffective. One may wait and watch over during this time. Once the Squeeze is released (i.e. no longer yellow), the trend corresponds to the color of the dots and crosses.
Black is CRSI Overbought condition for that time-frame. It’s best to wait and research for possibility of trend reversal because
1. Profit-booking/trimming happens after CRSI Overbought condition.
2. Large Short-sellers may take huge positions during this time pushing the stock prices up.
White is CRSI Oversold condition for that time-frame. It’s best to wait and research for possibility of trend reversal because
1. Profit-booking/trimming happens after CRSI Oversold conditions.
2. Large buyers may take huge positions during this time pushing the stock prices down.
I am a disabled man. Therefore, I am not able to write in detail here today. More Details will follow as time permits. Please let me know if I am missing anything…
Legal Disclaimer: I published here so I get replies from fellow viewers to educate myself and for my daily expenses. Hence, if anyone uses this script for making their decisions, I am not responsible for any failures incurred.
Safe Trading!
Kal Gandikota
PS: If you found this script interesting and edifying please follow and upvote.
PS2: Please kindly donate for my daily expenses (atleast as you would on streets) at the following addresses:
BTC Wallet: 1NeDC1GvpFa49DFLuT1v28ohFjqtoWXNQ5
ETH Wallet: 0x35e557F39A998e7d35dD27c6720C3553e1c65053
NEO Wallet: AUdiNJDW7boeUyYYNhX86p2T8eWwuELSGr
PS3: For more information on ADX and CRSI, please 'Google' or search here yourself.
PS4: This study is intended for research in creating automated Python Trading Systems using Pandas( steemit.com ).
Screenshots of the pinescript code looks as follows:
10minute Screenshot of Kal's MTF ADX Rangoli Roller (Above)
1 Hour Screenshot of Kal's MTF ADX Rangoli Roller (Above)
4 Hour Screenshot of Kal's MTF ADX Rangoli Roller (Above)
1 Day Screenshot of Kal's MTF ADX Rangoli Roller (Above)
1 Week Screenshot of Kal's MTF ADX Rangoli Roller (Above)
1 Month Screenshot of Kal's MTF ADX Rangoli Roller (Above)
SPX (S&P 500 Index)
@WACC Volatility Weighted PUT/CALL Positions [SPX]This indicator is based on Volatility and Market Sentiment. When volatility is high, and market sentiment is positive, the indicator is in a low or 'buy state'. When volatility is low and market sentiment is poor, the indicator is high.
The indicator uses the VIX as it's volatility input.
The indicator uses the spread between the Call Volume on SPX/SPY and the Put Volume.
This is pulled from CVSPX and PVSPX.
When volatility and put/call reaches a critical level, such as the levels present in a crisis or a sell off, the line will be green. See Sept 2015, 2008, and Feb 2018.
This level can be edited in the source code.
As the indicator is based on Put/Call, the indicator works best on larger time frames as the put/call ratio becomes a more discernible measure of sentiment over time.
IV/HV ratio 1.0 [dime]This script compares the implied volatility to the historic volatility as a ratio.
The plot indicates how high the current implied volatility for the next 30 days is relative to the actual volatility realized over the set period. This is most useful for options traders as it may show when the premiums paid on options are over valued relative to the historic risk.
The default is set to one year (252 bars) however any number of bars can be set for the lookback period for HV.
The default is set to VIX for the IV on SPX or SPY but other CBOE implied volatility indexes may be used. For /CL you have OVX/HV and for /GC you have GVX/HV.
Note that the CBOE data for these indexes may be delayed and updated EOD
and may not be suitable for intraday information. (Future versions of this script may be developed to provide a realtime intraday study. )
There is a list of many volatility indexes from CBOE listed at:
www.cboe.com
(Some may not yet be available on Tradingview)
RVX Russell 2000
VXN NASDAQ
VXO S&P 100
VXD DJIA
GVX Gold
OVX OIL
VIX3M 3-Month
VIX6M S&P 500 6-Month
VIX1Y 1-Year
VXEFA Cboe EFA ETF
VXEEM Cboe Emerging Markets ETF
VXFXI Cboe China ETF
VXEWZ Cboe Brazil ETF
VXSLV Cboe Silver ETF
VXGDX Cboe Gold Miners ETF
VXXLE Cboe Energy Sector ETF
EUVIX FX Euro
JYVIX FX Yen
BPVIX FX British Pound
EVZ Cboe EuroCurrency ETF Volatility Index
Amazon VXAZN
Apple VXAPL
Goldman Sachs VXGS
Google VXGOG
IBM VXIBM
Dollar / Stocks Correlation OscillatorMakes visual the theory that "a strong dollar is bullish for equities/stocks"
...but oh man, these two are definitely not that strongly correlated.
What's the deal with that? Still learning. Glad for any comments.
Bollinger + RSI, Double Strategy Long-Only (by ChartArt) v1.2This strategy uses the RSI indicator together with the Bollinger Bands to go long when the price is below the lower Bollinger Band (and to close the long trade when this value is above the upper Bollinger band).
This simple strategy only places a long, when both the RSI and the Bollinger Bands indicators are at the same time in a oversold condition.
In this new version 1.2 the strategy was simplified even more than before by going long-only, which made the strategy more successful in backtesting than the previous version (that older version also opened short trades).
This strategy does not repaint and was updated to PineScript version 3.
All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
P.S. For advanced users: If you want also be able to short with the same strategy approach, then please use my older version 1.1:
Bars Since VIX MedianBARS SINCE VIX17 Median by dime (v1.0 release) 04/02/2017
(Inspired by "Bars Since the last RSI Extreme" from DRodriguezFX)
This indicator is useful in tracking how many daily bars since the VIX was last at a historically 'normal' range.
Currently the VIX has been in a period of low volatility for a period of 98 daily bars since the VIX was last at the 17 historical median.
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500.
The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout.
TRADING RULES:
Buy/Cover = EMA3(RSI2) cross> 50
Sell/Short = EMA5(RSI2) cross< 50
BACKTEST SETTINGS:
- Period = March 2011 - Present
- Initial capital = $10,000
- Dividends excluded
- Trading costs excluded
PERFORMANCE COMPARISON:
There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628.
-SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded)
-SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21%
DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
