Algorithms Stocks List

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    Recent Signals

    Date Stock Signal Type
    2021-05-13 ADTM 50 DMA Resistance Bearish
    2021-05-13 ADTM Narrow Range Bar Range Contraction
    2021-05-13 ADTM Bollinger Band Squeeze Range Contraction
    2021-05-13 ALIF 20 DMA Resistance Bearish
    2021-05-13 ALIF 200 DMA Resistance Bearish
    2021-05-13 ALIF Stochastic Reached Oversold Weakness
    2021-05-13 ALIF Non-ADX 1,2,3,4 Bearish Bearish Swing Setup
    2021-05-13 ANDR 180 Bearish Setup Bearish Swing Setup
    2021-05-13 CATI Narrow Range Bar Range Contraction
    2021-05-13 CLIS Fell Below 20 DMA Bearish
    2021-05-13 DTMXF Stochastic Buy Signal Bullish
    2021-05-13 DTMXF Narrow Range Bar Range Contraction
    2021-05-13 DTMXF New Uptrend Bullish
    2021-05-13 EXSPF Narrow Range Bar Range Contraction
    2021-05-13 HDVY Calm After Storm Range Contraction
    2021-05-13 HDVY Fell Below 20 DMA Bearish
    2021-05-13 HDVY Fell Below 50 DMA Bearish
    2021-05-13 HDVY Fell Below 200 DMA Bearish
    2021-05-13 HDVY Narrow Range Bar Range Contraction
    2021-05-13 HDVY Bollinger Band Squeeze Range Contraction
    2021-05-13 IPTK MACD Bearish Centerline Cross Bearish
    2021-05-13 IPTK Stochastic Reached Oversold Weakness
    2021-05-13 TMMI Upper Bollinger Band Walk Strength

    In mathematics and computer science, an algorithm ( (listen)) is a finite sequence of well-defined, computer-implementable instructions, typically to solve a class of problems or to perform a computation. Algorithms are always unambiguous and are used as specifications for performing calculations, data processing, automated reasoning, and other tasks.
    As an effective method, an algorithm can be expressed within a finite amount of space and time, and in a well-defined formal language for calculating a function. Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as randomized algorithms, incorporate random input.The concept of algorithm has existed since antiquity. Arithmetic algorithms, such as a division algorithm, was used by ancient Babylonian mathematicians c. 2500 BC and Egyptian mathematicians c. 1550 BC. Greek mathematicians later used algorithms in the sieve of Eratosthenes for finding prime numbers, and the Euclidean algorithm for finding the greatest common divisor of two numbers. Arabic mathematicians such as al-Kindi in the 9th century used cryptographic algorithms for code-breaking, based on frequency analysis.The word algorithm itself is derived from the name of the 9th-century mathematician Muḥammad ibn Mūsā al-Khwārizmī, whose nisba (identifying him as from Khwarazm) was Latinized as Algoritmi. A partial formalization of what would become the modern concept of algorithm began with attempts to solve the Entscheidungsproblem (decision problem) posed by David Hilbert in 1928. Later formalizations were framed as attempts to define "effective calculability" or "effective method". Those formalizations included the Gödel–Herbrand–Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's Formulation 1 of 1936, and Alan Turing's Turing machines of 1936–37 and 1939.

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