Woodwind Vault

2021年12月22日

Library "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.

2021年12月22日

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v2

2021年12月24日

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v3

Added:
getEquilibriumPeriods(scheme) gets a suitable combination of equilibrium periods for the specified scheme.
  Parameters:
    scheme: string, the name of the scheme.
  Returns: 4 float values, a best suited combination of equilibrium periods.

computeExitGains(entry, exit, qty, remainingQty, direction) calculates the gains after a position is scaled down.
  Parameters:
    entry: float, the entry price of the short/long position.
    exit: float, the exit price of the short/long position.
    qty: float, the quantity by which a position is to be scaled down.
    remainingQty: float, the remaining quantity before the scale down.
    direction: int, its -1 for a short position and +1 for a long position.
  Returns: _gains float, the profit & loss after the scale down.

Updated:
positionRelativeToRange(point, fromLevel, toLevel) determines the placement of price w.r.t a range (i.e. a dynamic resistance band).
  Parameters:
    point: float, the price.
    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.

2021年12月26日

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v4

Removed:
getHighestHighAndLowestLow(period) determines the highest-high and the lowest-low value for the specified interval.

getEquilibriumPeriods(scheme) gets a suitable combination of equilibrium periods for the specified scheme.

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.

getGlance(fast, slow) glances over the 2 equilibrium points from moving averages and establishes whether its bullish or bearish.

positionRelativeToLevel(point, level) determines the placement of price w.r.t the specified resistance/support level.

positionRelativeToRange(point, fromLevel, toLevel) determines the placement of price w.r.t a range (i.e. a dynamic resistance band).