seamrvaulter / taac4k

taac4k 📉✔️📈

Technical Analysis and Conditions 4 Kotlin (Alpha 0.0.1)

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A developer friendly library built with ease of use and extension of functionality in mind.

Utilizes market data providers to supply transformed data that is compatible with
technical analysis indicators and their respective conditions.

Dokka docs: https://www.taac4k.org/

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Help motivate me, and allow me to survive off of coffee☕.
Wallet Chain: BTC
Bitcoin Wallet: 19PK3apvaQ54MP62nYULtYXH6SWenv81a9

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Basic Usage

1. Instantiate a data provider to fetch a MutableList of MarketData

// PolygonDataProvider() OR Polygon()
// NOTE: Apple stock data is fetched by default 
// if the ticker is not overriden in the constructor.

// instantiate a provider
val polygonDataProvider: PolygonDataProvider = PolygonDataProvider()

// get data prepared for conditions.
val aaplMarketData: MutableList<MarketData> = 
    polygonDataProvider.getAggregates(1, "minute", "2019-01-01")

2. Create a ConditionalIndicator with the fetched data.
   

// RSI() or Close()
val aaplClose: Close = Close(aaplDataList)

3. Compare the booleans returned from conditions methods

// Better Examples coming soon, check tests for most stuff.

/**
 * Compare data against itself.
 */
// Check if the immediate candles are rising.
aaplClose.conditions.isRising()

// Check if x number of candles in a range are rising.
aaplClose.conditions.isRising(leftBarIndex = appleDataList.size - 5)

// ---------------------------------------------------------------------------------------

/** 
 * Compare data against another MutableList<MarketData>.
 */

// Create a line to cross 
// (Could be any list of values, all searches default to the close value of a bar of data)
val fakeDataList: MutableList<MarketData> = mutableListOf()
val builder: MarketDataBuilder = BaseMarketDataBuilder()

for (i in 0 until 100)
    fakeDataList.add(builder.close(303.24).build())

aaplClose.conditions.crossUnder(fakeDataList, startValueIndex = appleDataList.size - 9)