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
Cari dalam skrip untuk "rsi"
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.
TSLA + NQ1! MTF StrategyGreat! Here's an upgraded automated TradingView Pine Script (v5) strategy template with:
✅ Entry signals based on TSLA & NQ1! key levels
✅ RSI filter (momentum confirmation)
✅ Stop Loss / Take Profit
✅ Configurable Multi-Timeframe EMA filter (e.g., 1H)
ES 5-Min Confluence Strategy with Swing LevelsThe "ES 5-Minute Confluence Strategy" is designed for scalping the E-mini S&P 500 futures contract. It combines five key indicators—EMA, VWAP, MACD, RSI, and Volume—along with swing high/low levels to identify high-probability entry points within a specified trading session. The strategy enters long or short positions when all indicators align, confirming a strong trend or reversal. Stop-loss orders are placed based on ATR below swing lows (for longs) or above swing highs (for shorts), while take-profit orders are set at a fixed point value. All parameters are customizable, allowing traders to optimize the strategy for their individual risk tolerance and market conditions.
BTC 1H Enhanced (MACD+EMA+RSI+ATR)under construction using ai not complete yet please use with cauction
MÈGAS ALGO : MÈGAS Engine [STRATEGY]Overview
The MÈGAS Engine is a sophisticated algorithmic trading strategy that combines multiple technical analysis components to identify high-probability entry and exit points. This strategy is designed for experienced traders seeking a comprehensive, rule-based approach to market participation.
Key Features
Core Signal Generation:
-Structure Break Detection: Advanced breakout identification with adjustable
sensitivity controls
-Dual-Direction Analysis: Separate bullish and bearish signal parameters with customizable delta
thresholds and depth settings
-Dynamic Parameter Management: OverfitShield technology with pulsewave parameter cycling
to reduce overfitting risks
Filtering Alghoritm:
-Volatility Filter: Rogers-Satchell volatility estimation with RSI-based normalization to avoid
trading in unfavorable market conditions
-Volume Confirmation: Cumulative volume analysis ensuring adequate liquidity support for trade
entries
OverfitShield Method:
OverfitShield is a built-in function within the trading strategy designed to reduce overfitting bias by introducing parameter variability during execution. When the "PULSWAVE" mode is activated, instead of relying on fixed values for key strategy parameters the system dynamically selects values from customizable ranges.
This approach mimics real-world market uncertainty and ensures that the strategy does not become overly dependent on a single optimal value found during backtesting — making it more robust across different market conditions and time periods.
Position Management
-Customizable Exit Set-up
The exit logic can be customized to 'CONTINUE', 'TAKE PROFIT', or 'TRAILING PROFIT' to suit
your trading approach and maximize performance.
-CONTINUE Mode:
This mode does not use predefined take profit levels. Instead, it remains in the market as long as the trend persists. By avoiding fixed exit points, this approach is often the most effective in backtesting, as it allows positions to run in favorable trends for longer periods.
-TAKE PROFIT Mode:
This mode allows you to set multiple grid-like take profit levels at different price points, effectively creating a multi-tier exit strategy. You can specify the number of profit levels you want, along with the percentage step between each level. This structured approach can be beneficial for capturing incremental profits in a trending market while allowing for more flexibility in trade management.
-TRAILING PROFIT Mode:
Similar to the Take Profit mode, this option allows you to set the trailing stop levels. The trailing stop moves with the market, ensuring that you lock in profits as the price continues to move in your favor. Once a profit level is hit, the trailing stop "follows" the price movement, adjusting dynamically to safeguard profits as the trade progresses.
3. Customizable Insight Alerts
Traders can configure personalized alert messages for every strategy action, including entries, exits, and profit targets. These alerts are fully compatible with TradingView's webhook system.
Advantages
Customization: Fully customizable exit set-up and alerts allow traders to tailor the strategy to their personal trading objectives.
How It Works — Step by Step
Step 1: Apply the Strategy
Open the chart for your selected symbol and timeframe. Add the MÈGAS Engine to the chart.
Step 2:Backtesting and Optimization
Run a full backtest and optimize the strategy parameters across the chosen trading pairs to:
Identify robust settings that perform consistently well
Avoid overfitting through validation techniques
Select the most profitable and stable configuration for live or forward testing.
Step 3: Review Results and Alerts
Check the backtest results on the chart and confirm that the custom alert messages are displaying as expected. This helps verify that everything is functioning correctly before moving forward.
Step 4: Configure Portfolio Management
Set up the exit logic based on your specific requirements. Tailor the exit strategy to match your trading approach, whether you prefer predefined take profit levels, trailing stops, or a trend-following method. This flexibility ensures the exit logic aligns with your overall strategy for optimal performance.
Open the strategy settings window. In the dedicated portfolio management section, choose your preferred capital allocation method based on your trading style and risk preferences. Once set, save the configuration as the default.
Step 5: Set Up Alerts
Click "Add Alert" on the strategy
-In the message field, use: {{strategy.order.comment}}
Under the Notifications tab:
-Enable Webhook URL
-Enter your external webhook address
-Click 'Create' to activate alerts for your strategy
Please Note :
The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
TOLOMEO_EAthe strategy is based on intercepting a trend reversal first on RSI, then on EMA and then opening the position