Woodwind VaultLibrary "WoodwindVault"
Woodwind Vault provides reusable functions to support Thange Woodwind Playbook execution.
getHighestHighAndLowestLow(period) determines the highest-high and lowest-low for the specified time interval.
Parameters:
period : int, the time interval for finding the highest-high and lowest-low.
Returns: float, the highest-high and lowest-low of the candles in the specified period.
findEquilibrium() projects a one glance view of the entire resistance net faced by the price. It does so by computing different equilibrium points for the price.
Returns: longTermEquilibriumB float, the midpoint of highest-high and lowest-low of the candles in last longTermPeriod.
getGlance(fast, slow) glances over the 2 equilibrium points from moving averages and establishes whether its bullish or bearish.
Parameters:
fast : float, the fast moving point.
slow : float, the slow moving point.
Returns: string, it is "bullish" if fast moving point is over the slow moving point o/w returns "bearish".
positionRelativeToLevel(point, level) determines first point's position w.r.t a specified level.
Parameters:
point : float, the first point (typically a fast moving average).
level : float, the second point acting as a level (typically a slow moving average).
Returns: string, the above/below/at position w.r.t level.
positionRelativeToRange(point, fromLevel, toLevel) determines first point's position w.r.t a range (typically a resistance band).
Parameters:
point : float, the first point.
fromLevel : float, the from-range which is typically a fast moving line.
toLevel : float, the to-range which is typically a slow moving line.
Returns: string, the above/below/within range.
Strategies
The Divergent LibraryLibrary "TheDivergentLibrary"
The Divergent Library is only useful when combined with the Pro version of The Divergent - Advanced divergence indicator . This is because the Basic (free) version of The Divergent does not expose the "Divergence Signal" value.
Usage instructions:
1. Create a new chart
2. Add The Divergent (Pro) indicator to your chart
3. Create a new strategy, import this library, add a "source" input, link it to "The Divergent: Divergence Signal", and use the library to decode the divergence signals from The Divergent (You can find example strategy code published in our profile)
4. Act on the divergences signalled by The Divergent
---
isRegularBullishEnabled(context) Returns a boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
isHiddenBullishEnabled(context) Returns a boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
isRegularBearishEnabled(context) Returns a boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
isHiddenBearishEnabled(context) Returns a boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
getPivotDetectionSource(context) Returns the 'Pivot Detection Source' setting of The Divergent. The returned value can be either "Oscillator" or "Price".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Oscillator" or "Price".
getPivotDetectionMode(context) Returns the 'Pivot Detection Mode' setting of The Divergent. The returned value can be either "Bodies" or "Wicks".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Bodies" or "Wicks".
isLinked(context) Returns a boolean value indicating the link status to The Divergent indicator.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating the link status to The Divergent indicator.
init(firstBarSignal, displayLinkStatus, debug) Initialises The Divergent Library's context with the signal produced by The Divergent on the first bar. The value returned from this function is called the "context of The Divergent Library". Some of the other functions of this library requires you to pass in this context.
Parameters:
firstBarSignal : The signal from The Divergent indicator on the first bar.
displayLinkStatus : A boolean value indicating whether the Link Status window should be displayed in the bottom left corner of the chart. Defaults to true.
debug : A boolean value indicating whether the Link Status window should display debug information. Defaults to false.
Returns: A bool array containing the context of The Divergent Library.
processSignal(signal) Processes a signal from The Divergent and returns a 5-tuple with the decoded signal: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd]. `divergenceType` can be one of the following values: na → No divergence was detected, 1 → Regular Bullish, 2 → Regular Bullish early, 3 → Hidden Bullish, 4 → Hidden Bullish early, 5 → Regular Bearish, 6 → Regular Bearish early, 7 → Hidden Bearish, 8 → Hidden Bearish early.
Parameters:
signal : The signal from The Divergent indicator.
Returns: A 5-tuple with the following values: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd].
TradingPortfolioLibrary "TradingPortfolio"
Simple functions for portfolio management. A portfolio is essentially
a float array with 3 positions that gets passed around
into these functions that ensure it gets properly updated as trading ensues.
An example usage:
import hugodanielcom/TradingPortfolio/XXXX as portfolio
var float my_portfolio = portfolio.init(0.0, strategy.initial_capital) // Initialize the portfolio with the strategy capital
if close < 10.0
portfolio.buy(my_portfolio, 10.0, close) // Buy when the close is below 10.0
plot(portfolio.total(my_portfolio), title = "Total portfolio value")
get_balance(portfolio) Gets the number of tokens and fiat available in the supplied portfolio.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
Returns: The tokens and fiat in a tuple
set_balance(portfolio, new_crypto, new_fiat) Sets the portfolio number of tokens and fiat amounts. This function overrides the current values in the portfolio and sets the provided ones as the new portfolio.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
new_crypto : The new amount of tokens in the portfolio.
new_fiat : The new amount of fiat in the portfolio
Returns: The tokens and fiat in a tuple
init(crypto, fiat) This function returns a clean portfolio. Start by calling this function and pass its return value as an argument to the other functions in this library.
Parameters:
crypto : The initial amount of tokens in the portfolio (defaults to 0.0).
fiat : The initial amount of fiat in the portfolio (defaults to 0.0).
Returns: The portfolio (a float )
crypto(portfolio) Gets the number of tokens in the portfolio
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
Returns: The amount of tokens in the portfolio
fiat(portfolio) Gets the fiat in the portfolio
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
Returns: The amount of fiat in the portfolio
retained(portfolio) Gets the amount of reatined fiat in the portfolio. Retained fiat is not considered as part of the balance when buying/selling, but it is considered as part of the total of the portfolio.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
Returns: The amount of retained fiat in the portfolio
retain(portfolio, fiat_to_retain) Sets the amount of fiat to retain. It removes the amount from the current fiat in the portfolio and marks it as retained.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
fiat_to_retain : The amount of fiat to remove and mark as retained.
Returns: void
total(portfolio, token_value) Calculates the total fiat value of the portfolio. It multiplies the amount of tokens by the supplied value and adds to the result the current fiat and retained amount.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
token_value : The fiat value of a unit (1) of token
Returns: A float that corresponds to the total fiat value of the portfolio (retained amount included)
ratio(portfolio, token_value) Calculates the ratio of tokens / fiat. The retained amount of fiat is not considered, only the active fiat being considered for trading.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
token_value : The fiat value of a unit (1) of token
Returns: A float between 1.0 and 0.0 that corresponds to the portfolio ratio of token / fiat (i.e. 0.6 corresponds to a portfolio whose value is made by 60% tokens and 40% fiat)
can_buy(portfolio, amount, token_value) Asserts that there is enough balance to buy the requested amount of tokens.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
amount : The amount of tokens to assert that can be bought
token_value : The fiat value of a unit (1) of token
Returns: A boolean value, true if there is capacity to buy the amount of tokens provided.
can_sell(portfolio, amount) Asserts that there is enough token balance to sell the requested amount of tokens.
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
amount : The amount of tokens to assert that can be sold
Returns: A boolean value, true if there is capacity to sold the amount of tokens provided.
buy(portfolio, amount, token_value) Adjusts the portfolio state to perform the equivalent of a buy operation (as in, buy the requested amount of tokens at the provided value and set the portfolio accordingly).
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
amount : The amount of tokens to buy
token_value : The fiat value of a unit (1) of token
Returns: A boolean value, true the requested amount of tokens was "bought" and the portfolio updated. False if nothing was changed.
sell(portfolio, amount, token_value) Adjusts the portfolio state to perform the equivalent of a sell operation (as in, sell the requested amount of tokens at the provided value and set the portfolio accordingly).
Parameters:
portfolio : A portfolio float array as created by the `init()` function.
amount : The amount of tokens to sell
token_value : The fiat value of a unit (1) of token
Returns: A boolean value, true the requested amount of tokens was "sold" and the portfolio updated. False if nothing was changed.
StringtoNumberThis library is used to convert Text type numbers are numbers.
Library "StringtoNumber"
str1 = '12340' , vv = numstrToNum(str1)
numstrToNum()
Example
// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © hapharmonic
//@version=5
indicator("My Script")
import hapharmonic/StringtoNumber/1 as CV
TF = '240'
GETTF = CV.numstrToNum(TF)
L = label.new(bar_index, high, '|| numstrToNum :>> || ' + str.tostring(GETTF), style=label.style_label_down,size=size.large)
label.delete(L )
PureRebalanceLibrary "PureRebalance"
A rebalance function that is pure.
Depends only on its arguments to perform the necessary calculations.
rebalance(token_price, portfolio_token_amount, portfolio_fiat_amount, rebalance_ratio) Rebalances a portfolio made of tokens and fiat to a given ratio of tokens per fiat
Parameters:
token_price : The value of a single unit (1) token
portfolio_token_amount : The number of tokens in the portfolio
portfolio_fiat_amount : Fiat available in the portfolio
rebalance_ratio : The ratio of token value / fiat that the portfolio should have after the rebalance (0.5 is used if no argument is supplied).
Returns: The number of tokens to buy or sell in order to achieve the desired portfolio ratio passed as argument (a positive value is returned if the tokens are to be bought, and negative value if the tokens are to be sold).
MHCustomSpotTradingLibraryLibrary "MHCustomSpotTradingLibrary"
HMA(float, float)
Parameters:
float : _src price data
float : _length Period
Returns: Hull Moving Average
EHMA(float, float)
Parameters:
float : _src price data
float : _length Period
Returns: EHMA Moving Average
THMA(float, float)
Parameters:
float : _src price data
float : _length Period
Returns: THMA Moving Average
HullMode(string, float, float)
Parameters:
string : modeSwitch Hull type
float : _src price data
float : _length Period
Returns: A Moving Average
start_Dates(int, int, int)
Parameters:
int : year
int : month
int : day
Returns: Start Date
stop_Dates(int, int, int)
Parameters:
int : year
int : month
int : day
Returns: Stop Date
f_print(string, int, int)
Parameters:
string : _text
int : col
int : row
Returns: Nothing
showStats()
greenCandle()
redCandle()
getDecimals()
truncate()
toWhole()
toPips()
getMA()
getEAP()
barsAboveMA()
barsBelowMA()
barsCrossedMA()
getPullbackBarCount()
getBodySize()
getTopWickSize()
getBottomWickSize()
getBodyPercent()
isHammer()
isStar()
isDoji()
isBullishEC()
isBearishEC()
timeFilter()
dateFilter()
dayFilter()
atrFilter()
fillCell()
GenericTradingLibrary "GenericTrading"
This library aims to collect rare but useful operations for
get_most_recent_long_or_short_position_closed_index() : returns most recent long/short closed bar index.
get_most_recent_long_or_short_position_open_index() : returns most recent long/short closed bar index.
These two functions designed to help to speed up the coding for strategies that contains "re-enter" logic.
These two functions also could applies in the situations where time-count is needed in your condition.
