public DWT(int n, int detailLevel, AbstractIndicator indicator = null) : base(n)
{
priceData = new MovingQueue<double>(n);
st = new SignalTransform();
this.detailLevel = detailLevel;
this.indicator = indicator;
}
public RWI(int n) : base(n)
{
subIndicators.Add("RWHI", new GenericContainer(n));
subIndicators.Add("RWLO", new GenericContainer(n));
TR = new MovingQueue<double>(n);
priceData = new MovingQueue<Tick>(n);
}
protected AbstractChannel(int n)
{
HighData = new MovingQueue<double>(n);
MiddleData = new MovingQueue<double>(n);
LowData = new MovingQueue<double>(n);
Period = n;
}
public RSI(int n = 14) : base(n)
{
UP = new MovingQueue <double>(n);
DOWN = new MovingQueue <double>(n);
AVGUP = double.NaN;
AVGDOWN = double.NaN;
}
protected AbstractChannel(int n)
{
HighData = new MovingQueue <double>(n);
MiddleData = new MovingQueue <double>(n);
LowData = new MovingQueue <double>(n);
Period = n;
}
public RSI(int n = 14) : base(n)
{
UP = new MovingQueue<double>(n);
DOWN = new MovingQueue<double>(n);
AVGUP = double.NaN;
AVGDOWN = double.NaN;
}
public KirshenbaumBands(int n = 20, int l = 30, double dev = 1.75)
: base(n)
{
EMA = new EMA(n);
LRValues = new MovingQueue <double>(l);
STDEV = dev;
}
public RWI(int n) : base(n)
{
subIndicators.Add("RWHI", new GenericContainer(n));
subIndicators.Add("RWLO", new GenericContainer(n));
TR = new MovingQueue <double>(n);
priceData = new MovingQueue <Tick>(n);
}
public KirshenbaumBands(int n = 20, int l = 30, double dev = 1.75)
: base(n)
{
EMA = new EMA(n);
LRValues= new MovingQueue<double>(l);
STDEV = dev;
}
public DWT(int n, int detailLevel, AbstractIndicator indicator = null) : base(n)
{
priceData = new MovingQueue <double>(n);
st = new SignalTransform();
this.detailLevel = detailLevel;
this.indicator = indicator;
}
public RSquared(int n, AbstractIndicator indicator = null) : base(n)
{
X = new MovingQueue<double>(n);
Y = new DenseVector(n);
int counter = 0;
for (double i = (double)-Y.Count / 2 + 0.5; i < (double)Y.Count / 2; i++) Y[counter++] = i;
this.indicator = indicator;
}
public PercentileRank(int n, AbstractIndicator indicator = null) : base(n)
{
data = new MovingQueue <double>(n);
if (indicator != null)
{
this.indicator = indicator;
}
}
public Cointegration()
{
n = 3000;
data1 = new MovingQueue<double>(n);
data2 = new MovingQueue<double>(n);
TEMA = new TEMA(50);
AttachIndicator("Container", new GenericContainer(n));
}
public QSPolyMA(int N, AbstractIndicator indicator = null)
: base(N)
{
tickdata = new MovingQueue<double>(N);
this.indicator = indicator;
X = new double[N];
for (int i = 0; i < X.Count(); i++) X[i] = i;
}
public Cointegration()
{
n = 3000;
data1 = new MovingQueue <double>(n);
data2 = new MovingQueue <double>(n);
TEMA = new TEMA(50);
AttachIndicator("Container", new GenericContainer(n));
}
public QSPolyChannel(int n = 20, int l = 30, double dev = 1.5)
: base(n)
{
EMA = new EMA(n);
LRValues= new MovingQueue<double>(l);
X = new double[l];
for (int i = 0; i < X.Count(); i++) X[i] = i;
STDEV = dev;
}
public UltimateOscillator(int p1 = 7, int p2 = 14, int p3 = 28) : base(p3)
{
prevTick = null;
BP1 = new MovingQueue <double>(p1);
TR1 = new MovingQueue <double>(p1);
BP2 = new MovingQueue <double>(p2);
TR2 = new MovingQueue <double>(p2);
BP3 = new MovingQueue <double>(p3);
TR3 = new MovingQueue <double>(p3);
}
public Covariance()
{
n = 1000;
data1 = new MovingQueue<double>(n);
data2 = new MovingQueue<double>(n);
data3 = new MovingQueue<double>(n);
TEMA = new TEMA(50);
AttachIndicator("Container", new GenericContainer(n));
}
public Covariance()
{
n = 1000;
data1 = new MovingQueue <double>(n);
data2 = new MovingQueue <double>(n);
data3 = new MovingQueue <double>(n);
TEMA = new TEMA(50);
AttachIndicator("Container", new GenericContainer(n));
}
public QSPolyMA(int N, AbstractIndicator indicator = null)
: base(N)
{
tickdata = new MovingQueue <double>(N);
this.indicator = indicator;
X = new double[N];
for (int i = 0; i < X.Count(); i++)
{
X[i] = i;
}
}
public UltimateOscillator(int p1 = 7, int p2 = 14, int p3 = 28):base(p3)
{
prevTick = null;
BP1 = new MovingQueue<double>(p1);
TR1 = new MovingQueue<double>(p1);
BP2 = new MovingQueue<double>(p2);
TR2 = new MovingQueue<double>(p2);
BP3 = new MovingQueue<double>(p3);
TR3 = new MovingQueue<double>(p3);
}
public RSquared(int n, AbstractIndicator indicator = null) : base(n)
{
X = new MovingQueue <double>(n);
Y = new DenseVector(n);
int counter = 0;
for (double i = (double)-Y.Count / 2 + 0.5; i < (double)Y.Count / 2; i++)
{
Y[counter++] = i;
}
this.indicator = indicator;
}
public QSVWChannel(int n = 20, int l = 30, double dev = 1.5)
: base(n)
{
EMA = new EMA(n);
LRValues = new MovingQueue <double>(l);
X = new double[l];
for (int i = 0; i < X.Count(); i++)
{
X[i] = i;
}
STDEV = dev;
}
IEnumerator MovingIcon()
{
SquirrelIcon.transform.position = LastButton.transform.position + new Vector3(0, ICON_OFFSET, 0);
FinishedMoveSquirrelIcon = false;
MovingQueue mq = SquirrelIcon.GetComponent <MovingQueue>();
mq.moveTo(NewButton.transform.position + new Vector3(0, ICON_OFFSET, 0), 1.0f);
yield return(new WaitForSeconds(1.1f));
FinishedMoveSquirrelIcon = true;
}
IEnumerator StartTheGamePhase1()
{
allLoadingDone = true;
yield return(new WaitForSeconds(0.5f));
// MOVE THE CAM
MovingQueue mq = Camera.main.GetComponent <MovingQueue>();
camMoveTime = _bubbleBoard.getMapData().MapSizeY * 0.15f;
mq.moveTo(new Vector3(Camera.main.transform.position.x, 0, Camera.main.transform.position.z), camMoveTime);
yield return(new WaitForSeconds(camMoveTime));
startGamePhase1Ended = true;
StartCoroutine(StartTheGamePhase2());
}
IEnumerator StartTheGamePhase2()
{
MovingQueue mq = Camera.main.GetComponent <MovingQueue>();
mq.StopAllCoroutines();
float newMoveTime = (camMoveTime - mq.TimeMoved) / 2.5f;
mq.moveTo(new Vector3(Camera.main.transform.position.x, 0, Camera.main.transform.position.z), newMoveTime);
yield return(new WaitForSeconds(newMoveTime));
// READY-GO
ReadyGoText.animation.Play("ReadyGoAppear");
AudioHelper.CreatePlayAudioObject(BaseManager.GetInstance().sfxReadyGo);
// =========
yield return(new WaitForSeconds(0.5f));
gameStarted = true;
CreateBubbleBullet();
}
public PFE(int n) : base(n)
{
priceData = new MovingQueue <double>(n);
}
public NeuralNetworkStrategy(int window)
{
dataList = new MovingQueue<double>(window);
AttachIndicator("IND", new AC(60));
}
public ATR(int n = 14) : base(n)
{
TrueRange = new MovingQueue<double>(n);
counter = 0;
}
public HistoricalVol(int n) : base(n)
{
returnsData = new MovingQueue<double>(n);
prevTick = double.NaN;
}
public PFE(int n) : base(n)
{
priceData = new MovingQueue<double>(n);
}
public WilliamsR(int n = 14) : base(n)
{
_highData = new MovingQueue <double>(n);
_lowData = new MovingQueue <double>(n);
}
protected AbstractAverage(int n)
{
averageData = new MovingQueue<double>(n);
Period = n;
}
public KAMA(int n, AbstractIndicator indicator = null) : base(n)
{
priceData = new MovingQueue <double>(n);
this.indicator = indicator;
}
public ATR(int n = 14) : base(n)
{
TrueRange = new MovingQueue <double>(n);
counter = 0;
}
public HurstIndicator(int n) : base(n)
{
priceData = new MovingQueue<double>(n);
}
public CCI(int n = 20, double constant = 0.015) : base(n)
{
SMA = new SMA(n);
priceData = new MovingQueue <double>(n);
this.constant = constant;
}
public SMA(int N, AbstractIndicator indicator = null) : base(N)
{
tickdata = new MovingQueue<double>(N);
this.indicator = indicator;
}
public PercentileRank(int n, AbstractIndicator indicator = null) : base(n)
{
data = new MovingQueue<double>(n);
if(indicator!=null) this.indicator = indicator;
}
public MFI(int n = 14) : base(n)
{
PositiveMF = new MovingQueue <double>(n);
NegativeMF = new MovingQueue <double>(n);
}
public SMA(int N, AbstractIndicator indicator = null) : base(N)
{
tickdata = new MovingQueue <double>(N);
this.indicator = indicator;
}
public WilliamsR(int n = 14):base(n)
{
_highData = new MovingQueue<double>(n);
_lowData = new MovingQueue<double>(n);
}
public ZLEMA(int n, AbstractIndicator indicator = null) : base(n)
{
EMA = new EMA(n);
this.indicator = indicator;
priceData = new MovingQueue <double>((n - 1) / 2);
}
protected AbstractMultiSymbolIndicator(int n)
{
subIndicators = new Dictionary <string, AbstractIndicator>();
indicatorData = new MovingQueue <double>(n);
Period = n;
}
public HeikenAshi(int n)
: base(n)
{
HACandle = new MovingQueue<Tick>(n);
prevTick = null;
}
public EMA(int N, AbstractIndicator indicator = null) : base(N)
{
alpha = 2.0/(N + 1);
tickdata = new MovingQueue<double>(N);
this.indicator = indicator;
}
protected AbstractMultiSymbolIndicator(int n)
{
subIndicators = new Dictionary<string, AbstractIndicator>();
indicatorData = new MovingQueue<double>(n);
Period = n;
}
public HurstIndicator(int n) : base(n)
{
priceData = new MovingQueue <double>(n);
}
protected AbstractAverage(int n)
{
averageData = new MovingQueue <double>(n);
Period = n;
}
public ROC(int n, AbstractIndicator indicator = null) : base(n)
{
tickData = new MovingQueue<double>(n);
this.indicator = indicator;
}
public NeuralNetworkStrategy(int window)
{
dataList = new MovingQueue <double>(window);
AttachIndicator("IND", new AC(60));
}
public KAMA(int n, AbstractIndicator indicator = null) : base(n)
{
priceData = new MovingQueue<double>(n);
this.indicator = indicator;
}
public MFI(int n = 14) :base(n)
{
PositiveMF = new MovingQueue<double>(n);
NegativeMF = new MovingQueue<double>(n);
}
public ZLEMA(int n, AbstractIndicator indicator = null) : base(n)
{
EMA = new EMA(n);
this.indicator = indicator;
priceData = new MovingQueue<double>((n-1)/2);
}
IEnumerator StartVictorySequence()
{
// Hide All flying bubble
if (_flyingBubbles.Count > 0)
{
foreach (Bubble b in _flyingBubbles)
{
b.gameObject.SetActive(false);
RemainBubbleShoot++;
}
}
_flyingBubbles.Clear();
// Hide Bullets
if (_loadedBubble != null)
{
_loadedBubble.gameObject.SetActive(false);
_loadedBubble = null;
RemainBubbleShoot++;
}
if (_waitingBubble != null)
{
_waitingBubble.gameObject.SetActive(false);
_waitingBubble = null;
RemainBubbleShoot++;
}
if (needUpdateHUD)
{
UpdateHUD();
needUpdateHUD = false;
}
yield return(new WaitForSeconds(3f));
// Shoot remain bubbles Up
int pointEachBubble = GlobalData.PointReward[RemainBubbleShoot > 14 ? 14 : RemainBubbleShoot, 2];
while (RemainBubbleShoot > 0)
{
Bubble b = (Instantiate(BubblePrefab, WaitingPosition.position, WaitingPosition.rotation) as GameObject).GetComponent("Bubble") as Bubble;
b.SetBubbleColor(Random.Range(1, 10));
StartCoroutine(b.shootUp(pointEachBubble));
RemainBubbleShoot--;
//UpdateHUD();
yield return(new WaitForSeconds(0.1f));
}
//
// Play squirrel win animation
Animator animator = PlayerSquirrel.GetComponent <Animator>();
animator.Play("Victory");
AudioHelper.CreatePlayAudioObject(BaseManager.GetInstance().sfxVictory);
yield return(new WaitForSeconds(2f));
// Result calculate
int highScore = Utilities.PlayerPrefs.GetInt("LevelHighScore-" + GlobalData.GetCurrentLevel(), 0);
if (CurrentScore > highScore)
{
highScore = CurrentScore;
}
int star = 0;
if (CurrentScore >= StarTargets[2])
{
star = 3;
}
else if (CurrentScore >= StarTargets[1])
{
star = 2;
}
else
{
star = 1;
}
int highStar = Utilities.PlayerPrefs.GetInt("LevelStar-" + GlobalData.GetCurrentLevel(), 0);
if (star > highStar)
{
highStar = star;
}
int nextLevel = GlobalData.GetCurrentLevel() + 1;
// Update Preference
Utilities.PlayerPrefs.SetInt("LevelHighScore-" + GlobalData.GetCurrentLevel(), highScore);
Utilities.PlayerPrefs.SetInt("LevelStar-" + GlobalData.GetCurrentLevel(), highStar);
// Set icon switch\
if (nextLevel <= BranchPairSetup.MAXLEVEL)
{
Utilities.PlayerPrefs.SetBool("LevelUnlocked-" + (GlobalData.GetCurrentLevel() + 1), true);
LevelSelectController.NewUnlockedLevel = GlobalData.GetCurrentLevel() + 1;
LevelSelectController.needUpdateMoveSquirrelIcon = true;
}
Utilities.PlayerPrefs.Flush();
// Update Text & Star
txtWinScore.text = CurrentScore.ToString();
txtWinHighScore.text = highScore.ToString();
for (int i = 0; i < star; i++)
{
StarDisplay[i].SetActive(true);
}
gameSceneController.WinMenu.gameObject.SetActive(true);
for (int i = 0; i < star; i++)
{
MovingQueue moac = StarDisplay[i].GetComponent <MovingQueue>();
moac.moveToLocal(new Vector3(0, 0, 0), .5f, new Vector3((i - 1) * 300, 0, 0));
yield return(new WaitForSeconds(.5f));
}
}
public HeikenAshi(int n)
: base(n)
{
HACandle = new MovingQueue <Tick>(n);
prevTick = null;
}
public HistoricalVol(int n) : base(n)
{
returnsData = new MovingQueue <double>(n);
prevTick = double.NaN;
}
public CCI(int n = 20, double constant = 0.015) : base(n)
{
SMA = new SMA(n);
priceData = new MovingQueue<double>(n);
this.constant = constant;
}