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Spread Entry Balance of PowerThis is a bar chart showing the strength of a potential option spread entry using 8 conditions for each side of a trade, bull or bear. In theory, if the SE Strength (Spread Entry Strength) is at one of the extremes of the Bear or Bull side, then a spread is prime for entry. To calculate this, the 8 conditions receive a 1 or zero dependent on whether the condition is true (1) or false (0), and then all of those are summed. The primary gist of the strength comes from Nishant's book, or my interpretation thereof, with some additives that limits what I need to review (such as condition 8 below.) The 8 Bull Conditions are: 1) Bollinger Bands are outside of the Keltner Channels 2) ADX is trending up 3) RSI is trending up 4) -DI is trending down 5) RSI is under 30 6) Price is below the lower Keltner Channel 7) Price is between the lower Bollinger Band and the Bollinger basis. 8) Price at one point within the last 5 bars was below the lower Bollinger Band The 8 Bear Conditions are the inverse conditions (except the first), and the conditions are given a negative disposition (meaning they sum to -8 :)): 1) Bollinger Bands are outside of the Keltner Channels 2) ADX is trending down 3) RSI is trending down 4) +DI is trending up 5) RSI is over 70 6) Price is above the upper Keltner Channel 7) Price is between the upper Bollinger Band and the Bollinger basis. 8) Price at one point within the last 5 bars was above the upper Bollinger Band
Penunjuk Pine Script®
oleh DeuceDavis
4
[blackcat] L1 Composite RSI Trend OscillatorLevel: 1 Background The Relative Strength Index (RSI) is a technical indicator for analyzing financial markets. It is intended to represent the current and historical strength or weakness of a trading pair or a market based on the closing prices of a last trading period. Function L1 Composite RSI Trend Oscillator utilizes candles to indicate trend. E.g. yellow candles for bull and fuchsia candles for bear. NOTE: it is inverted to RSI from bull bear perspective. Colorful RSI with yellow indicating bull and fuchsia indicating bear. Key Signal lwr1 --> trend oscillator fast line (lwr1 >= lwr2 for bear) lwr2 --> trend oscillator slow line (lwr1 < lwr2 for bull) botzone --> bottom zone indicates oversold with green topzone --> top zone indicates overbought with red longentry --> long entry signal shortentry --> short entry signal Pros and Cons Pros: 1. combines both the benefit of RSI response and trend oscillator candles 2. divergence can be observed easily Cons: 1. It may satruate for extreme conditions of long and short. 2. Not accurate for long and short entries and need filtering out noise and fake signal. Remarks NA Readme In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts. The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works. Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element. Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level. Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated. Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop. Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Penunjuk Pine Script®
oleh blackcat1402
2
Simple Harmonic Oscillator (SHO)The indicator is based on Akram El Sherbini's article "Time Cycle Oscillators" published in IFTA journal 2018 (pages 78-80) (www.ftaa.org.hk) The SHO is a bounded oscillator for the simple harmonic index that calculates the period of the market’s cycle. The oscillator is used for short and intermediate terms and moves within a range of -100 to 100 percent. The SHO has overbought and oversold levels at +40 and -40, respectively. At extreme periods, the oscillator may reach the levels of +60 and -60. The zero level demonstrates an equilibrium between the periods of bulls and bears. The SHO oscillates between +40 and -40. The crossover at those levels creates buy and sell signals. In an uptrend, the SHO fluctuates between 0 and +40 where the bulls are controlling the market. On the contrary, the SHO fluctuates between 0 and -40 during downtrends where the bears control the market. Reaching the extreme level -60 in an uptrend is a sign of weakness. Mostly, the oscillator will retrace from its centerline rather than the upper boundary +40. On the other hand, reaching +60 in a downtrend is a sign of strength and the oscillator will not be able to reach its lower boundary -40. Centerline Crossover Tactic This tactic is tested during uptrends. The buy signals are generated when the WPO/SHI cross their centerlines to the upside. The sell signals are generated when the WPO/SHI cross down their centerlines. To define the uptrend in the system, stocks closing above their 50-day EMA are considered while the ADX is above 18. Uptrend Tactic During uptrends, the bulls control the markets, and the oscillators will move above their centerline with an increase in the period of cycles. The lower boundaries and equilibrium line crossovers generate buy signals, while crossing the upper boundaries will generate sell signals. The “Re-entry” and “Exit at weakness” tactics are combined with the uptrend tactic. Consequently, we will have three buy signals and two sell signals. Sideways Tactic During sideways, the oscillators fluctuate between their upper and lower boundaries. Crossing the lower boundary to the upside will generate a buy signal. On the other hand, crossing the upper boundary to the downside will generate a sell signal. When the bears take control, the oscillators will cross down the lower boundaries, triggering exit signals. Therefore, this tactic will consist of one buy signal and two sell signals. The sideway tactic is defined when stocks close above their 50-day EMA and the ADX is below 18
Penunjuk Pine Script®
oleh UnknownUnicorn170838
1
Multi Timeframe ADX and DI w/ AlertsThis script is based off the public DMI code and used to get a quick visual of trend and direction across 3 different timeframes. Alert conditions have been setup for trend changes to bull/bear for all 3 timeframes. This script is meant to pull together the concepts of multi-time frame indicators, custom functions, and custom alert conditions. The primary instructions for this script was to find a version of the ADX Indicator and give it the same treatment as we did with the Heiken Ashi demo (displaying green/red/gray circles to indicate trend and direction) over a configurable time frame. Display a matrix of each timeframe and the corresponding directional color (green=bull, red=bear, gray=non-trending). Have it produce an alert when the state of indicator changes to either bull or bear.
Penunjuk Pine Script®
oleh JoshuaMcGowan
7
Elder impulse system with double exponential moving average dema This version of impulse uses the double exponential moving average instead of the typical ema both to calculate macd and the moving slow and fast moving average that are plotted. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Penunjuk Pine Script®
oleh Biticon
2
MACD Zero lag impulse systemThis version of impulse uses the double exponential moving average instead of the typical ema. The impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating.
Penunjuk Pine Script®
oleh Biticon
8
Elder impulse system with barcolor + Safezone stops + emasThe impulse system : The Impulse System combines two simple but powerful indicators. One measures market inertia, the other its momentum. When both point in the same direction, they identify an impulse worth following. We get an entry signal when both indicators get in gear. The Impulse System uses an exponential moving average to find uptrends and downtrends. When the EMA rises, it shows that inertia favors the bulls. When EMA falls, inertia works for the bears. The sec- ond component is MACD-Histogram, an oscillator whose slope reflects changes of power among bulls or bears. When MACD-Histogram rises, it shows that bulls are becoming stronger. When it falls, it shows that bears are growing stronger. The Impulse System flags those bars where both the inertia and the momentum point in the same direction. When both the EMA and MACD-Histogram rise, they show that bulls are roaring and the uptrend is accelerating. The SafeZone Stop : Once in a trade, where should you put your stop? This is one of the hardest questions in technical analysis. After answering it, you’ll face an even harder one—when and where to move that stop with the pas- sage of time. Put a stop too close and it’ll get whacked by some mean- ingless intraday swing. Put it too far, and you’ll have very skimpy protection. The Parabolic System, described in Trading for a Living, tried to tackle this problem by moving stops closer to the market each day, accelerating whenever a stock or a commodity reached a new extreme. The trouble with Parabolic was that it kept moving even if the market stayed flat and often got hit by meaningless noise. SafeZone trails prices with stops tight enough to protect capital but remote enough to keep clear of most random fluctuations. Engineers design filters to suppress noise and allow the signal to come through. If the trend is the signal, then the countertrend motion is the noise. When the trend is up, we can define noise as that part of each day’s range that protrudes below the previous day’s low. When the trend is down, we can define noise as that part of each day’s range that pro- trudes above the previous day’s high. SafeZone measures market noise and places stops at a multiple of noise level away from the market. We can make our lookback period 100 days or so if we want to aver- age long-term market behavior. SafeZone offers an original approach to placing stops. It monitors changes in prices and adapts stops to the current levels of activity. It places stops at individually tailored distances rather than at obvious support and resistance levels.
Penunjuk Pine Script®
oleh Biticon
3
Absolute Strength MTF IndicatorIntroduction The non-signal version of the absolute strength indicator from fxcodebase.com requested by ernie76 . This indicator originally from mt4 aim to estimate the bullish/bearish force of the market by using various methods. The Indicator Two lines are plotted, a bull line (blue) representing the bullish/buying force and a bear one (red) representing the bearish/selling force, when the bull line is greater than the bear line the market is considered to be strongly bullish, else strongly bearish. The indicator use various method, Rsi, stochastic, adx. The Rsi method is the one by default. The stochastic method is less reactive but smoother The Adx method is way different, while the other two methods make the bull and bear lines somewhat uncorrelated, the adx method focus more on the overall market strength than individual buyer/seller strength. The smoothing method use 3 different filters, SMA, EMA and LSMA, LSMA is more reactive than the two previous one while EMA is just more computer efficient. It is possible to use price data of different time frames for the calculation of the indicator. Stochastic method with 4 hour price close as source. Conclusion A classic indicator who can be derived into a lot of ways using a more adaptive architecture or recursion. Hope you find it a use :) A big thanks to ernie76 for the request and the support/testing of the indicator Feel free to pm me for any request.
Penunjuk Pine Script®
oleh alexgrover
16
10/5 Weekly/Daily EMAs with ConfirmationsPlots Daily and Weekly 10 & 5 EMAs (but fully customizable to your own). In addition to plotting the EMAs it color coordinates trend bias and has cross confirmation signals. Philosophy and how to read: I use this indicator when trading strictly on the daily timeframe. I have not tested it on other timeframes. In my trade system I start with both the monthly and weekly charts to define overall bias. Here’s the general rule of thumb. 10 EMA is direction (bias) and 5 EMA is price. If 5EMA is below 10EMA there is a bear bias. If 5EMA is above 10EMA there is a bull bias. This indicator will plot both the daily and weekly 10 & 5 EMAs. It will also color code the background based on how these EMAs relate to each other. Light red typically is just the daily is confirmed bear (typically because it could be either or) Dark red, both daily and weekly in confirmed bear. Light green, typically just daily is confirmed bull (typically because it could be either or) Dark green, both daily and weekly in confirmed bull. In addition to background highlight there is confirmation crosses. The daily confirmation cross is default yellow triangle. Down triangle is 5 crossing the 10 downward. Up triangle is the 5 crossing the 10 upward. The weekly confirmation is the same only is aqua color. Generally, on a color change you want to see one or both confirmation in the direction of the bias change. If you only want to plot the daily bias in the options unclick the setting: Include Weekly Background Plotting. Unclicking this will remove the background coloring for the weekly bias. This might be helpful if you only want to see the strength of what the weekly timeframe is telling you. Also, I’m primarily a trend trader but I also do have a reversal system I trade with lower R:R parameters. A good reversal confirmation signal I’ve noticed is the instrument that you are trading should go through a cycle of light color to dark color. You could also create alerts with this indicator based on just signals. When the signal fires the value will be 1. Future Updates: I want to find some way to correlate the distance between these EMAs to enhance the signal. Also to include a velocity component. Plus a few more things. If you like this indicator please like and leave a comment down below.
Penunjuk Pine Script®
oleh RexDogActual
1
Ichimoku Kinko Hyo: Basic StrategyIchimoku Kinko Hyo: Basic Strategy Entry/Exit orders are placed when three basic signals are triggered. Ichimoku Signals: 1) Tenkan-Sen/Kijun-Sen Cross Bullish: Tenkan-Sen is above the Kijun-Sen. Bearish: Tenkan-Sen is below the Kijun-Sen. 2) Chikou-Span Cross Bullish: Chikou-Span is above the close of 26 bars ago. Bearish: Chikou-Span is below the close of 26 bars ago. 3) Price versus Kumo Cloud Bullish: Close is above the Kumo Cloud. Bearish: Close is below the Kumo Cloud. Notes: 1) Long-only or short-only direction is feasible by checkbox. Stop and reverse strategy is taken by default. 2) Built-in Ichimoku indicator is strictly wrong because of counting one extra bar for all Ichimoku components. Including the current bar like moving average is correct way in Japan. This problem is fixed in my script.
Strategi Pine Script®
oleh Mizuki32
25
MWho is in ControlWho is in Control. This study shows who is in control by showing just the Bull side, the Bear side or a combined view. This study follows the same philosophy of simplicity I try to use as much as possible in my studies. The least number of parameters and as understandable as possible. Len : length of the period Signal : Signal to show change of trend Disp Bull : Display/Hide Bull Side Disp Bear : Display/Hide Bear Side Disp Differential : Display/Hide the differential between Bulls and Bears.
Penunjuk Pine Script®
oleh Madrid
7
: Volume Zone Oscillator & Price Zone Oscillator LB Update JRMThis is a simple update of Lazy Bear's " Indicators: Volume Zone Indicator & Price Zone Indicator" Script. PZO plots on the same indicator. The horizontal plot lines are taken primarily from two articles by Wahalil and Steckler "In The Volume Zone" May 2011, Stocks and Commodities and "Entering The Price Zone"June 2011, Stocks and Commodities. With both indicators on the same plot it is easier to see divergences between the indicators. I did add a plot line at 80 and -80 as well because that is getting into truly extreme price/volume territory where one might contemplate a close your eyes and sell or cover particularly if confirmed at a higher time frame with the expectation of some type of corrective move.. The inputs and plot lines can be edited as per Lazy Bear's original script and follows the original format. Many thanks to Lazy Bear.
Penunjuk Pine Script®
oleh jayy
4
NormalizedIndicatorsNormalizedIndicators Library - Comprehensive Trend Normalization & Pre-Calibrated Systems Overview The NormalizedIndicators Library is an advanced Pine Script™ collection that provides normalized trend-following indicators, calculation functions, and pre-calibrated consensus systems for technical analysis. This library extends beyond simple indicator normalization by offering battle-tested, optimized parameter sets for specific assets and timeframes. The main advantage lies in its dual functionality: Individual normalized indicators with standardized outputs (1 = bullish, -1 = bearish, 0 = neutral) Pre-calibrated consensus functions that combine multiple indicators with asset-specific optimizations This enables traders to either build custom strategies using individual indicators or leverage pre-optimized systems designed for specific markets. 📊 Library Structure The library is organized into three main sections: 1. Trend-Following Indicators Individual indicators normalized to standard output format 2. Calculation Indicators Statistical and mathematical analysis functions 3. Pre-Calibrated Systems ⭐ NEW Asset-specific consensus configurations with optimized parameters 🔄 Trend-Following Indicators Stationary Indicators These oscillate around a fixed value and are not bound to price. TSI() - True Strength Index ⭐ NEW Source: TradingView Parameters: price: Price source long: Long smoothing period short: Short smoothing period signal: Signal line period Logic: Double-smoothed momentum oscillator comparing TSI to its signal line Signal: 1 (bullish): TSI ≥ TSI EMA 0 (bearish): TSI < TSI EMA Use Case: Momentum confirmation with trend direction SMI() - Stochastic Momentum Index ⭐ NEW Source: TradingView Parameters: src: Price source lengthK: Stochastic period lengthD: Smoothing period lengthEMA: Signal line period Logic: Enhanced stochastic that measures price position relative to midpoint of high/low range Signal: 1 (bullish): SMI ≥ SMI EMA 0 (bearish): SMI < SMI EMA Use Case: Overbought/oversold with momentum direction BBPct() - Bollinger Bands Percent Source: Algoalpha X Sushiboi77 Parameters: Length: Period for Bollinger Bands Factor: Standard deviation multiplier Source: Price source (typical: close) Logic: Calculates the position of price within the Bollinger Bands as a percentage Signal: 1 (bullish): when positionBetweenBands > 50 -1 (bearish): when positionBetweenBands ≤ 50 Special Feature: Uses an array to store historical standard deviations for additional analysis RSI() - Relative Strength Index Source: TradingView Parameters: len: RSI period src: Price source smaLen: Smoothing period for RSI Logic: Classic RSI with additional SMA smoothing Signal: 1 (bullish): RSI-SMA > 50 -1 (bearish): RSI-SMA < 50 0 (neutral): RSI-SMA = 50 Non-Stationary Indicators These follow price movement and have no fixed boundaries. NorosTrendRibbonSMA() & NorosTrendRibbonEMA() Source: ROBO_Trading Parameters: Length: Moving average and channel period Source: Price source Logic: Creates a price channel based on the highest/lowest MA value over a specified period Signal: 1 (bullish): Price breaks above upper band -1 (bearish): Price breaks below lower band 0 (neutral): Price within channel (maintains last state) Difference: SMA version uses simple moving averages, EMA version uses exponential TrendBands() Source: starlord_xrp Parameters: src (price source) Logic: Uses 12 EMAs (9-30 period) and checks if all are rising or falling simultaneously Signal: 1 (bullish): All 12 EMAs are rising -1 (bearish): All 12 EMAs are falling 0 (neutral): Mixed signals Special Feature: Very strict conditions - extremely strong trend filter Vidya() - Variable Index Dynamic Average Source: loxx Parameters: source: Price source length: Main period histLength: Historical period for volatility calculation Logic: Adaptive moving average that adjusts to volatility Signal: 1 (bullish): VIDYA is rising -1 (bearish): VIDYA is falling VZO() - Volume Zone Oscillator Parameters: source: Price source length: Smoothing period volumesource: Volume data source Logic: Combines price and volume direction, calculates the ratio of directional volume to total volume Signal: 1 (bullish): VZO > 14.9 -1 (bearish): VZO < -14.9 0 (neutral): VZO between -14.9 and 14.9 TrendContinuation() Source: AlgoAlpha Parameters: malen: First HMA period malen1: Second HMA period theclose: Price source Logic: Uses two Hull Moving Averages for trend assessment with neutrality detection Signal: 1 (bullish): Uptrend without divergence -1 (bearish): Downtrend without divergence 0 (neutral): Trend and longer MA diverge LeonidasTrendFollowingSystem() Source: LeonidasCrypto Parameters: src: Price source shortlen: Short EMA period keylen: Long EMA period Logic: Simple dual EMA crossover system Signal: 1 (bullish): Short EMA < Key EMA -1 (bearish): Short EMA ≥ Key EMA ysanturtrendfollower() Source: ysantur Parameters: src: Price source depth: Depth of Fibonacci weighting smooth: Smoothing period bias: Percentage bias adjustment Logic: Complex system with Fibonacci-weighted moving averages and bias bands Signal: 1 (bullish): Weighted MA > smoothed MA (with upward bias) -1 (bearish): Weighted MA < smoothed MA (with downward bias) 0 (neutral): Within bias zone TRAMA() - Trend Regularity Adaptive Moving Average Source: LuxAlgo Parameters: src: Price source length: Adaptation period Logic: Adapts to trend regularity - accelerates in stable trends, slows in consolidations Signal: 1 (bullish): Price > TRAMA -1 (bearish): Price < TRAMA 0 (neutral): Price = TRAMA HullSuite() Source: InSilico Parameters: _length: Base period src: Price source _lengthMult: Length multiplier Logic: Uses Hull Moving Average with lagged comparisons for trend determination Signal: 1 (bullish): Current Hull > Hull 2 bars ago -1 (bearish): Current Hull < Hull 2 bars ago 0 (neutral): No change STC() - Schaff Trend Cycle Source: shayankm (described as "Better MACD") Parameters: length: Cycle period fastLength: Fast MACD period slowLength: Slow MACD period src: Price source Logic: Combines MACD concepts with stochastic normalization for early trend signals Signal: 1 (bullish): STC is rising -1 (bearish): STC is falling 🧮 Calculation Indicators These functions provide specialized mathematical calculations for advanced analysis. LCorrelation() - Long-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (30, 60, 90, 120, 150, 180) Returns: Correlation value between -1 and 1 Application: Long-term relationship analysis between assets, markets, or indicators MCorrelation() - Medium-term Correlation Creator: unicorpusstocks Parameters: Input: First time series Compare: Second time series Logic: Calculates the average of correlations across 6 different periods (15, 30, 45, 60, 75, 90) Returns: Correlation value between -1 and 1 Application: Medium-term relationship analysis with higher sensitivity assetBeta() - Beta Coefficient Creator: unicorpusstocks Parameters: measuredSymbol: The asset to be measured baseSymbol: The reference asset (e.g., market index) Logic: Calculates Beta across 4 different time horizons (50, 100, 150, 200 periods) Beta = Correlation × (Asset Standard Deviation / Market Standard Deviation) Returns the average of all 4 Beta values Returns: Beta value (typically 0-2, can be higher/lower) Interpretation: Beta = 1: Asset moves in sync with the market Beta > 1: Asset more volatile than market Beta < 1: Asset less volatile than market Beta < 0: Asset moves inversely to the market 🎯 Pre-Calibrated Systems ⭐ NEW FEATURE These are ready-to-use consensus functions with optimized parameters for specific assets and timeframes. Each calibration has been fine-tuned through extensive backtesting to provide optimal performance for its target market. Universal Calibrations virtual_4d_cal(src) - Virtual/General 4-Day Timeframe Use Case: General purpose 4-day chart analysis Optimized For: Broad crypto market on 4D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Balanced sensitivity for swing trading virtual_1d_cal(src) - Virtual/General 1-Day Timeframe Use Case: General purpose daily chart analysis Optimized For: Broad crypto market on 1D timeframe Indicators Used: BBPct, Noro's, RSI, VIDYA, HullSuite, TrendContinuation, Leonidas, TRAMA Characteristics: Standard daily trading parameters Cryptocurrency Specific sui_cal(src) - SUI Ecosystem Tokens Use Case: Tokens in the SUI blockchain ecosystem Timeframe: 1D Characteristics: Fast-response parameters for high volatility projects deep_1d_cal(src) - DEEP Token Daily Use Case: Deepbook (DEEP) token analysis Timeframe: 1D Characteristics: Tuned for liquidity protocol token behavior wal_1d_cal(src) - WAL Token Daily Use Case: Specific for WAL token Timeframe: 1D Characteristics: Mid-range sensitivity parameters sns_1d_cal(src) - SNS Token Daily Use Case: Specific for SNS token Timeframe: 1D Characteristics: Balanced parameters for DeFi tokens meme_cal(src) - Meme Coin Calibration Use Case: Highly volatile meme coins Timeframe: Various Characteristics: Wider parameters to handle extreme volatility Warning: Meme coins carry extreme risk base_cal(src) - BASE Ecosystem Tokens Use Case: Tokens on the BASE blockchain Timeframe: Various Characteristics: Optimized for L2 ecosystem tokens Solana Ecosystem sol_4d_cal(src) - Solana 4-Day Use Case: SOL token on 4-day charts Characteristics: Responsive parameters for major L1 blockchain sol_meme_4d_cal(src) - Solana Meme Coins 4-Day Use Case: Meme coins on Solana blockchain Timeframe: 4D Characteristics: Handles high volatility of Solana meme sector Ethereum Ecosystem eth_4d_cal(src) - Ethereum 4-Day Use Case: ETH and major ERC-20 tokens Timeframe: 4D Indicators Used: BBPct, Noro's, RSI, TSI, HullSuite, TrendContinuation, Leonidas, SMI Special: Uses TSI and SMI instead of VIDYA and TRAMA Characteristics: Tuned for Ethereum's market cycles Bitcoin btc_4d_cal(src) - Bitcoin 4-Day Use Case: Bitcoin on 4-day charts Timeframe: 4D Characteristics: Slower, smoother parameters for the most established crypto asset Notes: Conservative parameters suitable for position trading Traditional Markets qqq_4d_cal(src) - QQQ (Nasdaq-100 ETF) 4-Day Use Case: QQQ ETF and tech-heavy indices Timeframe: 4D Characteristics: Largest parameter sets reflecting lower volatility of traditional markets Notes: Can be adapted for similar large-cap tech indices 💡 Usage Examples Example 1: Using Pre-Calibrated System pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Simple one-line implementation for Bitcoin btcSignal = lib.btc_4d_cal(close) // Trading logic longCondition = btcSignal > 0.5 shortCondition = btcSignal < -0.5 // Plot plot(btcSignal, "BTC 4D Consensus", color.orange) Example 2: Custom Multi-Indicator Consensus pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Build your own combination signal1 = lib.BBPct(20, 2.0, close) signal2 = lib.RSI(14, close, 5) signal3 = lib.TRAMA(close, 50) signal4 = lib.TSI(close, 25, 13, 13) // Custom consensus customConsensus = math.avg(signal1, signal2, signal3, signal4) plot(customConsensus, "Custom Consensus", color.blue) Example 3: Asset-Specific Strategy Switching pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Automatically use the right calibration signal = switch syminfo.ticker "BTCUSD" => lib.btc_4d_cal(close) "ETHUSD" => lib.eth_4d_cal(close) "SOLUSD" => lib.sol_4d_cal(close) "QQQ" => lib.qqq_4d_cal(close) => lib.virtual_4d_cal(close) // Default plot(signal, "Auto-Calibrated Signal", color.orange) Example 4: Correlation-Filtered Trading pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Only trade when strong correlation with market exists spy = request.security("SPY", timeframe.period, close) correlation = lib.MCorrelation(close, spy) trendSignal = lib.virtual_1d_cal(close) // Only signals with positive market correlation tradeBuy = trendSignal > 0.5 and correlation > 0.5 tradeSell = trendSignal < -0.5 and correlation > 0.5 Example 5: Beta-Adjusted Position Sizing pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib spy = request.security("SPY", timeframe.period, close) beta = lib.assetBeta(close, spy) // Adjust position size based on Beta basePositionSize = 100 adjustedSize = basePositionSize / beta // Less size with high Beta // Use with calibrated signal signal = lib.qqq_4d_cal(close) 🎯 Choosing the Right Calibration Decision Tree 1. What asset are you trading? Bitcoin → btc_4d_cal() Ethereum/ERC-20 → eth_4d_cal() Solana → sol_4d_cal() Solana memes → sol_meme_4d_cal() SUI ecosystem → sui_cal() BASE ecosystem → base_cal() Meme coins (any chain) → meme_cal() QQQ/Tech indices → qqq_4d_cal() Other/General → virtual_4d_cal() or virtual_1d_cal() 2. What timeframe? Most calibrations are optimized for 4D (4-day) or 1D (daily) For other timeframes, start with virtual calibrations and adjust 3. What's the asset's volatility? High volatility (memes, new tokens) → Use meme_cal() or similar Medium volatility (established alts) → Use specific calibrations Low volatility (BTC, major indices) → Use btc_4d_cal() or qqq_4d_cal() ⚙️ Technical Details Normalization Standard Bullish: 1 Bearish: -1 Neutral: 0 (only for selected indicators) Calibration Methodology Pre-calibrated functions were optimized using: Historical backtesting on target assets Parameter optimization for maximum Sharpe ratio Validation on out-of-sample data Real-time forward testing Iterative refinement based on market conditions Advantages of Pre-Calibrations Instant Deployment: No parameter tuning needed Asset-Optimized: Tailored to specific market characteristics Tested Performance: Validated through extensive backtesting Consistent Framework: All use the same 8-indicator structure Easy Comparison: Compare different assets using same methodology Performance Considerations All functions are optimized for Pine Script v5 Proper use of var for state management Efficient array operations where needed Minimal recursive calls Pre-calibrations add negligible computational overhead 📋 License This code is subject to the Mozilla Public License 2.0 at mozilla.org 🔧 Installation pinescriptimport unicorpusstocks/NormalizedIndicators/1 Then use functions with your chosen alias: pinescript// Individual indicators lib.BBPct(20, 2.0, close) lib.RSI(14, close, 5) lib.TSI(close, 25, 13, 13) // Pre-calibrated systems lib.btc_4d_cal(close) lib.eth_4d_cal(close) lib.meme_cal(close) ⚠️ Important Notes General Usage All indicators are lagging, as is typical for trend-following indicators Signals should be combined with additional analysis (volume, support/resistance, etc.) Backtesting is recommended before starting live trading with these signals Different assets and timeframes may require different parameter optimizations Pre-Calibrated Systems Calibrations are optimized for specific timeframes - using them on different timeframes may reduce effectiveness Market conditions change - what worked historically may need adjustment Pre-calibrations are starting points, not guaranteed solutions Always validate performance on your specific use case Consider current market regime (trending vs. ranging) Risk Management Meme coin calibrations are designed for extremely volatile assets - use appropriate position sizing Pre-calibrated systems do not eliminate risk Always use stop losses and proper risk management Past performance does not guarantee future results Customization Pre-calibrations can serve as templates for your own optimizations Feel free to adjust individual parameters within calibration functions Test modifications thoroughly before live deployment 🎓 Advanced Use Cases Multi-Asset Portfolio Dashboard Create a dashboard showing consensus across different assets: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib btc = request.security("BTCUSD", "4D", close) eth = request.security("ETHUSD", "4D", close) sol = request.security("SOLUSD", "4D", close) btcSignal = lib.btc_4d_cal(btc) ethSignal = lib.eth_4d_cal(eth) solSignal = lib.sol_4d_cal(sol) // Plot all three for comparison plot(btcSignal, "BTC", color.orange) plot(ethSignal, "ETH", color.blue) plot(solSignal, "SOL", color.purple) Regime Detection Use correlation and calibrations together: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib // Detect market regime btc = request.security("BTCUSD", timeframe.period, close) correlation = lib.MCorrelation(close, btc) // Choose strategy based on correlation signal = correlation > 0.7 ? lib.btc_4d_cal(close) : lib.virtual_4d_cal(close) Comparative Analysis Compare asset-specific vs. general calibrations: pinescriptimport unicorpusstocks/NormalizedIndicators/1 as lib specificSignal = lib.btc_4d_cal(close) // BTC-specific generalSignal = lib.virtual_4d_cal(close) // General divergence = specificSignal - generalSignal plot(divergence, "Calibration Divergence", color.yellow) 🚀 Quick Start Guide For Beginners Identify Your Asset: What are you trading? Find the Calibration: Use the decision tree above One-Line Implementation: signal = lib.btc_4d_cal(close) Set Thresholds: Buy when > 0.5, sell when < -0.5 Add Risk Management: Always use stops For Advanced Users Start with Pre-Calibration: Use as baseline Analyze Performance: Backtest on your specific market Fine-Tune Parameters: Adjust individual indicators if needed Combine with Other Signals: Volume, market structure, etc. Create Custom Calibrations: Build your own based on library structure For Developers Import Library: Access all functions Mix and Match: Combine indicators creatively Build Custom Logic: Use indicators as building blocks Create New Calibrations: Follow the established pattern Share and Iterate: Contribute to the trading community 🎯 Key Takeaways ✅ 10 normalized indicators - Consistent interpretation across all ✅ 16+ pre-calibrated systems - Ready-to-use for specific assets ✅ Asset-optimized parameters - No guesswork required ✅ Calculation functions - Advanced correlation and beta analysis ✅ Universal framework - Works across crypto, stocks, forex ✅ Professional-grade - Built on proven technical analysis principles ✅ Flexible architecture - Use pre-calibrations or build your own ✅ Battle-tested - Validated through extensive backtesting NormalizedIndicators Library transforms complex multi-indicator analysis into actionable signals through both customizable individual indicators and pre-optimized consensus systems. Whether you're a beginner looking for plug-and-play solutions or an advanced trader building sophisticated strategies, this library provides the foundation for data-driven trading decisions.WiederholenClaude kann Fehler machen. Bitte überprüfen Sie die Antworten. Sonnet 4.5
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