A friendly reminder to myself and rest of the traders that market can stay low for prolonged time!! Details are pretty simple. Here is small comparison of the stats for major US indices. Can also be applied to stocks. Cells are highlighted in red background ii Drawdown/Recovery is still in progress for historical stats Current drawdown...
Library "MathProbabilityDistribution" Probability Distribution Functions. name(idx) Indexed names helper function. Parameters: idx : int, position in the range (0, 6). Returns: string, distribution name. usage: .name(1) Notes: (0) => 'StdNormal' (1) => 'Normal' (2) => 'Skew Normal' (3) => 'Student T' (4) => 'Skew Student T' (5)...
Seasonalities Pro indicator for TradingView - identify, evaluate and exploit seasonal patterns Identification of seasonal investment opportunities Easy to use without prior knowledge with just a few clicks Statistical evaluation over an adjustable data basis (5 to 40 years) Period to be considered also across year boundaries Applicable to all...
Seasonalities Pro indicator for TradingView - identify, evaluate and exploit seasonal patterns Identification of seasonal investment opportunities Easy to use without prior knowledge with just a few clicks Statistical evaluation over an adjustable data basis (5 to 40 years) Period to be considered also across year boundaries Applicable to all...
SIVE 2.0 IS FINALLY HERE, after the long awaited update we are finally able to bring to you SIVE 2.0! SIVE 1.0 (Systematic Institutional Volatility Expansion) brought a whole new approach to the algorithm and retail trading game on TradingView. Never before have you had access to a quantitative institutional approach like this, after years in development and...
Library "MovingAverages" Contains utilities for generating moving average values including getting a moving average by name and a function for generating a Volume-Adjusted WMA. sma(_D, _len) Simple Moving Avereage Parameters: _D : The series to measure from. _len : The number of bars to measure with. ema(_D, _len) Exponential Moving...
A Simple Crypto Dashboard/Screener which indicates the Price and percentage changes for the Given Period of time i.e for 1 Hr ,4 Hrs, 1 Day, 3 Days, 3 Weeks and 3 - 12 Months. By Default it displays #BTC and its Dominance and current trading pair Price and % changes.
Shows Open Interest of ANY Binance pair (BTCUSD, ETHUSD, ADAUSD, ...). Inverse and USDT pairs Preset-Pairs (BTC, ETH, XRP, ADA, SOL, DOT, ...) Custom Candle Colors (candles can be turned off)
Library "eStrategy" Library contains methods which can help build custom strategy for continuous investment plans and also compare it with systematic buy and hold. sip(startYear, initialDeposit, depositFrequency, recurringDeposit, buyPrice) Depicts systematic buy and hold over period of time Parameters: startYear : Year on which SIP is started ...
Library "JohnEhlersFourierTransform" Fourier Transform for Traders By John Ehlers, slightly modified to allow to inspect other than the 8-50 frequency spectrum. reference: www.mesasoftware.com high_pass_filter(source) Detrended version of the data by High Pass Filtering with a 40 Period cutoff Parameters: source : float, data source. Returns:...
Library "FunctionCosineSimilarity" Cosine Similarity method. function(sample_a, sample_b) Measure the similarity of 2 vectors. Parameters: sample_a : float array, values. sample_b : float array, values. Returns: float. diss(cosim) Dissimilarity helper function. Parameters: cosim : float, cosine similarity value (0 > 1) Returns: float
Library "historicalrange" Library provices a method to calculate historical percentile range of series. hpercentrank(source) calculates historical percentrank of the source Parameters: source : Source for which historical percentrank needs to be calculated. Source should be ranging between 0-100. If using a source which can beyond 0-100, use short...
Library "WIPNNetwork" this is a work in progress (WIP) and prone to have some errors, so use at your own risk... let me know if you find any issues.. Method for a generalized Neural Network. network(x) Generalized Neural Network Method. Parameters: x : TODO: add parameter x description here Returns: TODO: add what function returns
Library "FunctionPatternDecomposition" Methods for decomposing price into common grid/matrix patterns. series_to_array(source, length) Helper for converting series to array. Parameters: source : float, data series. length : int, size. Returns: float array. smooth_data_2d(data, rate) Smooth data sample into 2d points. Parameters: data...
Simple script showing candles missing an upper or downer wick. As candles tend to have a low and a high, they will most certainly form wicks. It is rare to have wickless candles on longer time frames, so it's more relevant on 1h and above. What can you do about it? If you see for example a Bitcoin 4h candle that hasn't form two wicks yet, there are high...
Library "statistics" General statistics library. erf(x) The "error function" encountered in integrating the normal distribution (which is a normalized form of the Gaussian function). Parameters: x : The input series. Returns: The Error Function evaluated for each element of x. erfc(x) Parameters: x : The input series Returns: The...
█ OVERVIEW This library is a Pine programmer's tool that provides functions to access Commitment of Traders (COT) data for futures. Four of our scripts use it: • Commitment of Traders: Legacy Metrics • Commitment of Traders: Disaggregated Metrics • Commitment of Traders: Financial Metrics • Commitment of Traders: Total If you do not program in...
Library "FunctionBlackScholes" Some methods for the Black Scholes Options Model, which demonstrates several approaches to the valuation of a European call. // reference: // people.math.sc.edu // people.math.sc.edu asset_path(s0, mu, sigma, t1, n) Simulates the behavior of an asset price over time. Parameters: s0 : float, asset price at...