Noro's Stochastic Strategy v1.1Uses:
1) Stochastic Momentum Index ("Use SMI-Strategy")
2) Fast RSI, period 7 ("Use RSI-Strategy")
3) SMA Body filter ("Use Body-filter")
Cerca negli script per "rsi"
CMYK RMI TRIPLE◊ Introduction
This script makes use of three RMI's, to indicate Overbought/Oversold.
Adjustments can easily be made, through its settings or script.
◊ Origin
The Relative Momentum Index was developed by Roger Altman and was introduced in his article in the February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
This is a part of Project XIAM.
◊ Theoretical Approach
Philosophy γ :: consequential
◊ Usage
You can use this as an indicator for manual trading, or apply AUTOTVIEW to automate your trading.
My advice is to combine this with another indicator before you do this.
The script is written in an organized and flexible manner to do this.
◊ Features
3 RMI's with seperately adjustable HIGH / LOW levels.
Trend adjustment on the SLOW RMI.
Adjustable Interval between entries / Once per dip-top entry.
Take Profit & Stop loss
◊ Community
Wanna share your findings ? or need help resolving a problem ?
CMYK :: discord.gg
AUTOVIEW :: discordapp.com
TRADINGVIEW UNOFFICIAL :: discord.gg
Noro's FRSI Strategy v1.21Little changed Noro's Fast RSI Strategy v1.2 for using with
Noro's FRSI Indicator v1.21 for AutoView
CMYK XIAM◊ Introduction
This is project XIAM, a trading bot based on SMA and RMI
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother. The input has been changed to the change of a smoothed close multiplied by a smoothed volume .
In addition SMA is used to detect an up/downwards phase.
◊ Adjustments
CMYK color theme applied.
◊ Usage
Automatic trading strategy
◊ Future Prospects
Remove jitter.
Take Variance into account
Auto adjusting settings evaluated on previous placements.
Proper asset management.
WY Tame the Crypto MarketStrategy utilizes a combination of EMAs, RSIs, EMA of RSIs with adjustable ranges for a wide range of crypto trading flexibility.
WY Tame the Crypto MarketStrategy utilizes a combination of EMAs, RSIs, EMA of RSIs with adjustable ranges for a wide range of crypto trading flexibility.
Slickwater Strategy [frac]This indicator is the culmination of various other indicators and attempts to help traders assess the actual current trend and filter out all the noise.
In reality, this indicator is extremely similar to the Traders Dynamic Index in concept and the overall results of the indicator across any time frame. The differences though are that while TDI uses just RSI, this uses RSI, CCI, MFI, and TSI, and also includes an assessment of the momentum associated with the move, to better enable traders to detect divergence.
The default settings generate the best returns across any time frame, however can be ultra sensitive and generate too many trade signals on high resolution time frames (i.e., the 15M or 30M). If one desires less sensitive results, one can use (14,12,9) for the first 3 inputs. This generates consistent signals, but is not as sensitive as the default.
In general:
GO LONG:
- Scalp: Wt1 crosses over Wt2
- Short Term: Wt1 crosses over Wt2 and the middle band. Wt2 is above the middle band as well
- Medium Term: Same as short term, but there are extended oversold trading signals (yellow dots)
- Long term: Same as medium term, but there is divergence in the momentum as well (i.e. it is increasing while price decreases)
GO SHORT:
- Scalp: Wt1 crosses under Wt2
- Short Term: Wt1 crosses under Wt2 and the middle band. Wt2 is below the middle band as well.
- Medium Term: Same as short term, but there are extended overbought trading signals (yellow dots)
- Long term: Same as medium term, but there is divergence in the momentum as well (i.e., it is decreasing while price increases)
Sb_Rate_Of_Change_BB_Band_strategy Version 1.0The strategy couples the concept of rate of change along with the Bollinger bands.
Along with it LazyBear's RSI/MFI with Volatility Indicator is also taken to reduce the number of trades and improve efficiency.
Strategy (in Layman terms):
If in the past 10 candles RSI/MFI with Volatility Indicator has printed a red/green colour and the roc has gone above/below the Bollinger bands then the short/long order is placed respectively.
Message if you think of any modifications/ enhancements/ any opportunities. :)
Donations/Tips... :) -
BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2
ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781
LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
CMARSI Strategy (on ETHUSD) Seems working goodthere it is, it's using the Connor RSI with little variations.
C onnor M oving A verage RSI
Relative Volatility Index Backtest The RVI is a modified form of the relative strength index (RSI).
The original RSI calculation separates one-day net changes into
positive closes and negative closes, then smoothes the data and
normalizes the ratio on a scale of zero to 100 as the basis for the
formula. The RVI uses the same basic formula but substitutes the
10-day standard deviation of the closing prices for either the up
close or the down close. The goal is to create an indicator that
measures the general direction of volatility. The volatility is
being measured by the 10-days standard deviation of the closing prices.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
True Strength Indicator BTCUSD 2HScript based on True Strength Index (TSI) and RSI
A technical momentum indicator that helps traders determine overbought and oversold conditions of a security by incorporating the short-term purchasing momentum of the market with the lagging benefits of moving averages. Generally a 25-day exponential moving average (EMA) is applied to the difference between two share prices, and then a 13-day EMA is applied to the result, making the indicator more sensitive to prevailing market conditions.
!!! IMPORTANT IN ORDER TO AVOID REPAITING ISSUES
!!! USE Chart resolution >= resCustom parameter, suggestion 2H
Yellow zones indicates that you can claim position for better profits even before a claim confirmation.
Dark zones indicates areas where RSI shows overbought and oversold conditions.
BTCUSD
JonBennettStrategy v2New features:
- switch between fixed profit target or exit at the next color change
- option to use an RSI filter, configure RSI length and oversold/overbought level
Gold/Silver 30m Only Strategy Buy/Sell SignalsIn my free time I felt like coding this strategy, and after backtesting it, it appears that the 30m time frame is the most profitable.
I only have been working on it for gold, but it should work similarly for silver as well.
This includes no pyramiding, and with pyramiding orders of 5, this strategy is upwards of 100% profitable.
Buy order - when price is above the 162 day EMA and RSI is less than 35
Sell order - when price is below the 162 day EMA and RSI is greater than 65
I will probably be adjusting it to increase the profitability and %success rate.
TOLOMEO_EAthe strategy is based on intercepting a trend reversal first on RSI, then on EMA and then opening the position
The Green MachineThe Green Machine
The Green Machine is a trend-following strategy that uses a dynamic, volatility-based trailing stop to manage positions. It automatically flips between long and short positions based on market behavior, aiming to ride trends while cutting losses early.
🔍 Strategy Logic
A trailing stop is calculated using historical volatility.
When price breaches the trailing stop, the strategy closes the position and opens a trade in the opposite direction.
Each new position resets the trailing logic based on current price conditions.
This strategy does not use external indicators; it relies solely on statistical volatility for dynamic stop adjustment.
⚙️ Default Strategy Settings
Account Size: $10,000
Risk per Trade: 1% of equity
Commission: 0.1% per trade (applied via strategy() settings)
Slippage: 1 tick per trade
Backtest Dataset: All available data on selected timeframe
Minimum Trades Required: 100+ for statistical evaluation
These assumptions reflect common retail trading conditions and are intended to present realistic results.
📈 Best Use Cases
Trending markets (e.g., crypto, forex, momentum stocks)
Timeframes: Works best on 15m–4h for active trading, daily for swing setups
Can be paired with other entry filters (like RSI, MA crossovers, or volume-based entries)
⚠️ Important Notes
The script flips bias automatically; it is not intended for manual trade confirmation.
Use in demo/backtest mode first to understand the behavior.
All logic and calculations are embedded directly in the script. No external dependencies.
This script is provided for educational and research purposes. Past performance is not indicative of future results. Always test thoroughly before using in live environments.