JPH11224295A - Detecting device for brand whose current price reaches extremal value of brand and its using method - Google Patents

Detecting device for brand whose current price reaches extremal value of brand and its using method

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Publication number
JPH11224295A
JPH11224295A JP31960598A JP31960598A JPH11224295A JP H11224295 A JPH11224295 A JP H11224295A JP 31960598 A JP31960598 A JP 31960598A JP 31960598 A JP31960598 A JP 31960598A JP H11224295 A JPH11224295 A JP H11224295A
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op
value
stocks
f2
f3
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Shigeru Suganuma
茂 菅沼
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Shigeru Suganuma
茂 菅沼
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Priority to JP34568497 priority Critical
Priority to JP9-345684 priority
Application filed by Shigeru Suganuma, 茂 菅沼 filed Critical Shigeru Suganuma
Priority to JP31960598A priority patent/JPH11224295A/en
Priority claimed from US09/228,896 external-priority patent/US6289321B1/en
Publication of JPH11224295A publication Critical patent/JPH11224295A/en
Application status is Pending legal-status Critical

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Abstract

PROBLEM TO BE SOLVED: To select brands whose current prices have peak or bottom values of stock, exchange, and article commerce out of all brands and to distribute them to investors. SOLUTION: Respective movement trend values calculated at short-period intervals p+1 and further 2p+1.4p+1.8p+1.16p+1 are standardized, respective center parts are sectioned and set as leaving sections, upper-value sections (F.F2.f3.f4.f5=H), lower-value sections (F.F2.F3.F4.F5=L), and variations of trend value curves of stock price tracks reaching the current prices are put together with (F5+F4+F3+F2+F) and displayed. An extremal-value brand is currently detected with a before-extreme-value/extreme value signal (TU.XU) and outputted and distributed as an extremal-value brand having a long rise period according to transition of (F→F2→F3→F4→F5=H) and detected with a before-extremal-vallue/extremal value signal (TL.XL) and outputted and distributed as an extremal value brand having a long decrease period according to transition of (F→F2→F3→F4→F5=L).

Description

【発明の詳細な説明】 DETAILED DESCRIPTION OF THE INVENTION

【0001】 [0001]

【発明の属する技術分野】この発明は、株式投資・為替・商品取引等に際し、個々の銘柄の最新市場取り引き数値が、其の銘柄の高値或いは下値の極値となる銘柄を検出し、検出銘柄があった場合伝達メディアを操作し特定投資家・その他機関等に配信する方法である。 BACKGROUND OF THE INVENTION The present invention, when equity investments, foreign exchange, and commodity trading, etc., the most recent market transaction value of individual stocks, to detect the brand to be the extreme highs or lower price of its stock, detection brand is a method to deliver to a operates the transmission media in certain cases investors and other institutions, and the like.

【0002】 [0002]

【従来の技術】本発明に用いられる下記用語は次の通り定義する。 The following terms used in the Background of the Invention The present invention is defined as follows. 市場;株式・為替・商品市場 株価;市場で成立した価格・交換レート或いは指数 時価;前項株価の内、最新のもの 現時点;時価に見合う時点 銘柄;市場で取り引きされる株式・通貨・商品名等 極値;株価曲線の接線が水平となる箇所の数値。 Market; stock, foreign exchange, and commodity market price; established the price and exchange rate or index market value in the market; of the preceding paragraph stock prices, the latest one this time; stock, currency, trade names or the like to be traded in the market; the time stocks to meet the mark-to-market extrema; Number of locations tangent stock curve is horizontal. 近傍の最大・最小値 インターバル;株価時系列の範囲 「最小のコストで最大の利を得る」との投資原則に即して、投資対象及びその行動時期を絞り込む努力が昔から行われてきた。 Maximum and minimum values ​​interval in the vicinity; in line with the investment principles of the range of the share price during the series, "obtain the maximum benefit at the lowest cost", efforts to narrow the investment and its action time have been made from the old days. アナリストはファンダメンタルな条件を検討して、有望な投資対象銘柄を、各種の情報メディアを介し提供する。 Analysts consider the fundamental conditions, a promising investment target stocks, to provide through the various information media. 然し其の投資時点、換言すれば時価が下値の極値で買い行動の出来る銘柄、時価が上値の極値で売り行動を執るべき銘柄に関しての情報提供は殆どない。 But its investment point, the stock market value in other words, capable of buying behavior in the extreme values ​​of the downside, the information provided is little in terms of stocks should take selling act in the extreme value of the upside market value. 形の上では其れに対応するテクニカル分析に多くの提案が行われてきた。 Many of the proposals in technical analysis that corresponds to it in the top of the form have been made. 代表的な指標を挙げればグランビルの移動平均値、エリオットの波動理論、サイコロジカルライン、ボリュウムレシオ、移動平均線よりの乖離率、その他各種の方法が採用されてきた(参考文献1)。 Moving average of Granville By way of typical indicators, Elliott wave theory, psychological line, Boryuumu ratio, the rate of deviation from the moving averages, and other various methods have been employed (Reference 1). 従来のテクニカル解析はグランビルの法則の如く、或る1つのパターンが定まり其のパターンが、将来の1つのパターンに導かれると想定するところにある。 Conventional technical analysis as the law of Granville, its pattern Sadamari one pattern one is in place to assume that led to a pattern of the future.
時価がどのパターンに属するか、或いは何時、パターンが形成されるか、其の判定が困難であるばかりでなく其のパターンを確認した時は既に時機を逸している事が多い。 It belongs to which pattern is the market value, or when, or pattern is formed, is often already untimely when its decision was confirmed to its pattern not only is difficult.

【0003】投資家・企業は常に時価の傾向を読み取り、其の変化点を予見して、売り・買い・見送りのいずれかを選択せねばならない。 [0003] investors and companies are always reading the trend of market value, to foresee its change point, you must not select any of the buy and sell-send-off. 投資家は注目している投資対象が、「右肩上がりに上昇を続け、今高値の天井を付けたか?」。 Investors investment target of interest is, "it continues to rise to the soaring, whether with a ceiling of high now?". 或いは「右肩下がりに下降を続け下値の底をコツンと打ったか?」全精力を集中する。 Or "What struck with Kotsun the bottom of the downside continued to fall in the right shoulder down?" To focus all energy. 換言すれば、今日、今の現時点で極値を付ける銘柄を絞り込む事が最重要事項となるが、従来の技術は之に答えられない。 In other words, today, but that narrow down the issues to give an extreme value in the now of the present time is the most important matters, not the prior art is the answer to this. 頭と尻尾は呉れてやれと業界で云われる如く、従来の技術は此の極値への追求を断念している。 As the head and tail is said in the industry with 'em to me, the prior art has abandoned the pursuit of 此 of extreme value.

【0004】 [0004]

【発明が解決しようとする課題】従来の研究からも、株価時系列実績から延長して、将来の株価を予測する事は殆ど不可能である(参考文献2,3)。 [0007] from the previous studies, extending from stock price time series track record, it is almost impossible to predict the future of the stock price (Ref. 2 and 3). 市場に於ける株価は売り方・買い方、即ち将来に対する株価の見方が相反する当事者間で成立したもので、下げ過ぎれば買いが入り上げ過ぎれば売られる。 Those in stock prices in the market is selling how-buyers, that is the view of the stock for the future was established between the conflicting parties, it is sold if too up into buying it too lowered. もしファンダメンタルに大きな変動が無いならば、株価は其の中心値へ回帰運動を起こす。 If if large fluctuations in fundamentals is not, stock prices cause a regression movement to its center value. テクニカル分析が株価の将来を予測する能力がない状況下、効果的な投資姿勢は時価が下がりきった銘柄を買い、時価が上がりきった現時点で売る事である。 Under the circumstances technical analysis there is no ability to predict the future of stock prices, effective investment attitude is to buy a market value is fully falling stocks, is it sell at the moment the market value is fully up.
然るに時価が極値直前の銘柄から、極値銘柄まで現時点で把握し、全銘柄群から検出する方法を開発出来なかった。 However from the market value of the extreme value immediately before the stock, to grasp at the moment until the extreme values ​​issues, it was not able to develop a method for detecting from all issues group. 又3000を越す国内株式その他市場取引銘柄より、上記選別された銘柄群を投資家に提供出来ることは、最も要望されるところである。 Also from the domestic stock market and other trading stocks in excess of 3000, that can be provided to the investors of the above sorted brand group, is where the most demand. 参考文献1 株式相場のテクニカル分析 日本経済新聞 2 証券マンのための「株式投資理論」入門 日本経済新聞 3 日本の株価変動 東洋経済新報 (ボラティリティ変動モデルによる分析) 4 時系列モデル入門 東京大学出版会 (TIME SERIES MODELS by ACHarvey) "Equity investment theory" Introduction to the Nihon Keizai Shimbun 3 Japan's stock price fluctuation Toyokeizaishinpo (analysis by Volatility model) 4 time series model Introduction to University of Tokyo Press for technical analysis Nihon Keizai Shimbun 2 securities Man references 1 stock markets (TIME SERIES MODELS by ACHarvey)

【0005】 [0005]

【課題を解決するための手段】時価が極値を示す株価構造は、時価に到る株価の軌跡が短期のインターバルで平滑化実施後、 イ) 揉み合いを抜け出し顕著に上昇(下降)した時点を起点とし、一貫して上昇(下降)を続け、上昇(下降) Stock indicating the market value extrema Means for Solving the Problems] structure, smoothed out at throughout the trajectory of stock in the short term interval to market, the time of the b) struggle markedly elevated slipped out (descending) as a starting point, continued rise (fall) consistently, rising (falling)
の加速度が零となる時点が高値(下値)の極値である。 When the acceleration is zero are extreme high value (downside). ロ)此の区間は起点時点の軌跡値より常に高値(下値) B) 此 of the section is always higher than the trajectory values ​​of the origin point (downside)
であり、此の区間を高値(下値)区間と分類する。 , And the classifying 此 of the section and the high (downside) section. 短期のインターバルで軌跡を追跡した場合、現時点が此の高値(下値)の区間で加速度が零となる時点が短期の極値高値(下値)で検出の対象である。 If the trajectory was followed by short intervals, when the current time is the acceleration zero in a section 此 high value (downside) is a target of detection in the short-term extreme high (downside). ハ)株価が極値に到る値幅の大きさは、其の上昇(下降)角度・上昇(下降)期間の影響下にある。 The size of the width of c) stock price reaches the extreme value, under the influence of its rise (fall) angle and rising (falling) time. 両要因と株価軌跡の関連を解明するため、時価に到る株価移動傾向値を、短期のインターバルの2のN乗インターバルが描く移動傾向値(N+1)系列を組み合わせ合成する。 To elucidate the association of both factors and stock trajectory, the stock moving tendency value leading to market, 2 N moving tendency value interval draws a short interval (N + 1) in combination with sequence synthesis.
株価の上昇(下降)角度は、短期のインターバルの2のN乗インターバルが描く各移動傾向値の大きさに依り評価する。 Rise in stock prices (descending) angle is evaluated depending on the size of each moving tendency value 2 N interval short interval draws. 各銘柄に普遍的適用を計るため、各数値を基準化し絶対値が基準を超えた物が対象となる。 To gauge the universal applied to each stock, those absolute values ​​normalized to each value has exceeded the reference is of interest. 株価が極値に到る上昇(下降)期間は、合成された移動傾向値が極値に到る現時点より、遡り同一符号の+(−)期間は上昇(下降)期間であり且つ期間中の如何なる時点より現時点の株価は上昇(下降)の極値である。 Rising (falling) time stock prices reaches the extreme value, from the present time reaching the synthesized moving tendency value extreme value was, dates of the same sign + (-) period increased (lowered) the period and during the period stock current than any time is the extreme rise (fall). ニ)以上が時価が極値を示す株価構造であり、全銘柄の時価を投入し此の構造フィルターを通過した銘柄のみを採り上げる。 D) or higher market value are stock structure showing extreme, we were charged the market price of all stocks pick only stocks passing through the structure filter 此.

【0006】時価に到る株価の軌跡は、 イ)放送・通信・印刷物等メディアを介し時価D tを得る。 [0006] The stock price trajectory of leading to market value, b) get a fair value D t via a broadcast, communication, and printed material such as media. ロ)ハードデスク等記憶装置より記録・保管されていた株価の時系列実績値{D 1 ,D 2 ,・・・D t-2 ,D B) hard disc or the like time series actual value of stock that has been recorded and stored from the storage device {D 1, D 2, ··· D t-2, D
t-1 }を再生出力する。 reproducing and outputting t-1}. ハ)時系列実績値の最後項に、入力装置より時価D tを加える。 At the end section of the time-series actual value c) is added market D t from the input device. ニ)時系列データは{D 1 ,D 2 ,・・・D t-2 ,D D) the time-series data {D 1, D 2, ··· D t-2, D
t-1 ,D t }で表現される。 t-1, is expressed by D t}.

【0007】基本的に{D 1 ,D 2 ,・・・D t-2 ,D [0007] Basically, {D 1, D 2, ··· D t-2, D
t-1 ,D t }はラグ1の相互間に (D t- μ)=b t *(D t-1 −μ)+ε t t=t, t-1, D t} is the mutual lag 1 (D t- μ) = b t * (D t-1 -μ) + ε t t = t,
t−1・・・3,2 の構造関係にある。 In the structural relationships of t-1 ··· 3,2. 但し b t ,μ;パラメーター ε t ;平均0,分散σ二乗の撹乱項 各時系列数値は、傾向値b tと其の上に加えられたランダムな撹乱項ε tから構成され、傾向値b tは時間に関して滑らかな関数であると見なされる(参考文献4)。 However b t, mu; parameter epsilon t; mean 0, error term each time series value of the variance σ squared is composed tendency value b t a random exerted on its disturbances claim epsilon t, tendency value b t is considered to be a smooth function with respect to time (ref. 4).

【0008】撹乱項に起因する数値の不規則性を除く為に最小二乗法にて平滑化を行う。 [0008] performs a smoothing by the least squares method in order to remove the irregularities of the numerical value due to the error term. 図2に示す如く{D t ,D t-1 ,・・・D tP }のp+1時系列単位の範囲の回帰直線より、傾向値b t及び平滑値y tを求める。 As shown in FIG. 2 {D t, D t- 1, ··· D tP} from the regression line in the range of p + 1 time-series units, determining the trend value b t and smoothed value y t. ついで{D t-1 ,D t-2 ,・・・D tP-1 }範囲での傾向値b t-1及び平滑値y t-1を求める。 Then seek {D t-1, D t -2, ··· D tP-1} tendency value b t-1 and a smoothing value y t-1 in the range. 更にt=t In addition t = t
−2,t−3,・・・p+1まで繰り返す。 -2, t-3, repeated until ··· p + 1. p+1のインターバルを短期と仕訳し通常p+1=3〜7を用いる。 The interval of the p + 1 short and to journal using conventional p + 1 = 3 to 7.

【0009】図12のフローチャートの手順で {y t ,y t-1 ,・・・y P+1 };時系列平滑化数値と、其のy曲線。 [0009] Figure 12 a flow chart of the steps of {y t, y t-1 , ··· y P + 1}; time-series smoothing numbers and, its y curve. {b t ,b t-1 ,・・・b P+1 };短期移動傾向値と、 {B t, b t-1 , ··· b P + 1}; and short moving tendency value,
其のb曲線。 Its b curve. {D t ,D t-1 ,・・・D P+1 };四本値罫線と、其のD曲線を得る。 {D t, D t-1 , ··· D P + 1}; obtaining the four values ruled, the D curve. 前記3曲線の相互関係を図5に示す。 The interrelationship of the three curves shown in FIG. 同様2NDインターバル2p+1を採用し図12のフローチャートの手順で {b2 t ,b2 t-1 ,・・・b2 2p+1 };b2曲線、 3RDインターバル4p+1を採用し{B3 t ,b3 Similarly 2ND interval 2p + 1 in the procedure of the flow chart of employing diagram 12 {b2 t, b2 t-1 , ··· b2 2p + 1}; b2 curve adopts 3RD interval 4p + 1 {B3 t, b3
t-1 ,・・・b3 4p+1 };移動傾向値b3曲線、 4THインターバル8p+1を採用し{b4 t ,b4 t-1, ··· b3 4p + 1}; moving tendency value b3 curves, 4TH interval 8p + 1 adopted {b4 t, b4
t-1 ,・・・b4 8p+1 };移動傾向値b4曲線を、 5THインターバル16p+1を採用し{b5 t ,b5 t-1, ··· b4 8p + 1}; the moving tendency value b4 curve adopts 5TH interval 16p + 1 {b5 t, b5
t-1 ,・・・b5 16p+1 };移動傾向値b5曲線、 を算出する。 t-1, ··· b5 16p + 1}; moving tendency value b5 curve, is calculated.

【0010】短期(p+1) のインターバルは、季節変動・循環変動要因の影響を除外する為に例えば日足の場合は1週となる5日=p+1、即ち2NDインターバルは2p+1=9日、3RDインターバル以降は(前インターバル−1)*2+1で4THインターバル・5TH [0010] The short-term (p + 1) interval of, in the case of in order to exclude the effects of seasonal variations and circulation variation factors for example Daily 5 days a week 1 = p + 1, namely 2ND interval 2p + 1 = 9 days, 3RD interval and later (before the interval -1) * 2 + 1 4TH interval · 5TH
インターバルを定める。 Defining the interval.

【0011】y曲線の極値は其の一次微分曲線の零の位置であるが、一次微分曲線の作成の一つとして、短期移動傾向値のb曲線を当てる。 [0011] Although the extreme value of the y curve is the position of the zero of its first derivative curve, as one of the creation of the first derivative curve, hit the b curve of the short-term moving tendency value. b曲線は図2で示す関連から、ラグp/2のy曲線の一次微分曲線に相当する。 b curve from the relevant shown in Figure 2, which corresponds to a primary differential curve of y curve lug p / 2. 即ち現時点よりp/2だけ遡りシフトした各時点が、y曲線の該時点傾向値となる。 That is, each time shifted dates by p / 2 from the present time, the said time points tendency value of y curve. 同様にb2曲線はp、b3曲線は2*p、b4曲線は2*2*p、b5曲線は2*2 Similarly, b2 curve p, b3 curve is 2 * p, b4 curve is 2 * 2 * p, b5 curve is 2 * 2
*2*pだけ遡りシフトした各時点が、y曲線の該時点傾向値となる。 * 2 * p is each time you shift back only, the said time point trend value of y curve. 図3にて短期移動傾向値及び2ND〜5 Short-term movement tendency value in FIG. 3 and 2ND~5
THインターバルの移動傾向値曲線の相互関係を示す。 Shows the mutual relationship between the moving tendency value curve of TH interval.
株価平滑y曲線のマクロ的変動のb5曲線の内容をb4 The contents of the b5 curve of macroeconomic fluctuations in the stock price smooth y curve b4
曲線が示し、更にb3・b2曲線と詳細を重ね、最もローカルな変動としては短期移動傾向値のb曲線となる。 Curve shows further superimposed details and b3 · b2 curve, and b the curve of the short-term moving tendency value as the most local variations.
換言すればy曲線の局部傾向をb曲線が忠実に表現し、 The local trend of y curve b curve faithfully expressed in other words,
b2・b3・b4・b5曲線と移行するに従い、ミクロ的視点からマクロ的視界に移行する。 In accordance with the process proceeds b2 · b3 · b4 · b5 curve, to shift to the macro view from the micro point of view.

【0012】図4は図3の傾向値曲線部、部分拡大図である。 [0012] Figure 4 is a tendency value curve of FIG. 3 is a partially enlarged view. b5曲線はb5E、b4曲線はb4E、b3曲線はb3E、b2曲線はb2E時点より現時点までの傾向値は不明である。 b5 curve b5E, b4 curve b4E, b3 curve b3E, b2 curve trend value of up to the present time than b2E point in time is unknown. b5Eよりb4曲線に落としたb4S b4S dropped in from b4 curve b5E
とb4Eとの相対的関連は、b5Eとb4Eとの相対的関連と振り替わる。 The relative association between B4E A, replace relative association and swing the b5E and B4E. 同様b4Eよりb3曲線に落としたb3Sとb3Eとの相対的関連は、b4Eとb3Eの相対的関連となる。 The relative association between b3S and B3E dropped to b3 curve than similar b4E is a relative related b4E and B3E. b3Eとb2E、b2EとbEの相対的関連も同様に定まる。 b3E and b2e, also relative related b2e and bE determined in the same manner. 現時点に到る傾向値の変移はb Change of trend values ​​leading to the present time is b
5E→(b4S〜b4E)→(b3S〜b3E)→(b 5E → (b4S~b4E) → (b3S~b3E) → (b
2S〜b2E)→(bS〜bE)となる。 2S~b2E) → to become (bS~bE). b2曲線のb b2 of the curve b
2Eはb曲線の(bS〜bE)の起点、b3曲線のb3 2E is the starting point of the (bS~bE) of b curve of b3 curve b3
Eはb2曲線の(b2S〜b2E)の起点となる。 E is the starting point of the b2 curve (b2S~b2E). 此の変移線が現時点を遡り、其の符号に変化のない範囲は株価y曲線は一貫して+(−)の場合、上昇(下降)し現時点に到達する。此 the transition lines back in time, there is no range of change in its sign stock y curve consistently + (-), the reach to the current rise (fall).

【0013】個々の銘柄の株価の軌跡は、其の銘柄特有の挙動を示す。 [0013] The trajectory of the stock prices of the individual stocks, show the its brand-specific behavior. 全銘柄に普遍的適用を計るため銘柄毎、 Each brand in order to measure the universally applied to all issues,
各変動を基準化する。 Scaling each change. 時系列株価より導かれた移動傾向値を平均が零・分散が1の基準化を行う。 Average moving tendency value derived from the time-series stock zero-dispersion performs scaling of 1. 株価の上昇(下降)角度は傾向値そのものであり基準化された傾向値が基準を超えた(下廻った)区分のみを高値(下値) Rise in stock prices (descending) angle exceeds the trend value is itself scaled tendency value reference (Shitamawa' was) divided only high (downside)
区分とし、基準としては一標準偏差を上区分線V U (下区分線V L )とし採用する。 And division, adopted by the upper dividing line V U (lower dividing line V L) one standard deviation as a reference.

【0014】図13のフローチャートの手順で短期移動傾向値{b t ,b t-1 ,・・・b 1 }を基準化し{B t ,B t-1 ,・・・B 1 }のB基準化曲線を得る。 [0014] Short-term movement tendency value in the flow chart of the procedure of FIG. 13 {b t, b t- 1, ··· b 1} to scale the {B t, B t-1 , ··· B 1} B criteria get the curves.
図5は株価y曲線及びB基準化曲線を、横軸に時系列、 Figure 5 is a stock y curve and B reference curves, time series on the horizontal axis,
且つ縦軸尺度を標準偏差とし示す。 And the vertical axis scale shows the standard deviation. t-3 ,B t-2 ,B B t-3, B t- 2, B
t-1 ,B tに至る傾向値のローカルな変化を、y曲線の加速度とし、強調して表現する。 local change of the trend values leading to t-1, B t, and acceleration of the y curve, expressed emphasized. tに至る軌跡が上区分線V U (下区分線V L )を超え(下回り)た時点を起点とし更に増加(減速)し、反転・減速(加速)し、其の傾向値bが零となる迄の期間をB基準化曲線の短期上値区分F=H(下値区分F=L)と定義し、株価の軌跡は上記起点より一貫して上昇(下降)しFの最終時点が極値となる。 And trajectory leading to B t is the starting point of time was exceeded upper dividing line V U (lower dividing line V L) (below) to further increase (reduction), inverted or deceleration (acceleration), its tendency value b is zero defined and made up period B standard curves of short-term upside segment F = H in (downside segment F = L), the trajectory of the stock rise consistently from the starting point (falling) and the final point of F is extreme to become. tがB基準化曲線の上値区分F=Hより傾向値b t =0に到った時点をX Uとすれば、y曲線のy t-2/pは極大、区分記号F=Lよりb t =0に到った時点X Lは、y曲線のy t-2/pの極小を示し、其れより遡り上区分線V U (下区分線V L )を超えたB基準化曲線の折り返し時点T U (T L )は共に、y曲線が極値をつける直前のシグナルとし検出する。 If the time at which B t is reached the tendency value b t = 0 from the upside segment F = H in B reference curves and X U, y t-2 / p is the maximum of the y curve, than delimiters F = L point was reached the b t = 0 X L denotes the minimum of y t-2 / p of y curve, B standardized curve beyond from going back over dividing line V U (lower dividing line V L) it the folded point T U (T L) are both detected and the immediately preceding signal y curve give an extreme value.

【0015】{b2 t ,b2 t-1 , ・・・b2 2p+1 }; [0015] {b2 t, b2 t-1 , ··· b2 2p + 1};
b2曲線を基準化し{B2 t ,B2 t-1 , ・・・B2 to scale the b2 curve {B2 t, B2 t-1 , ··· B2
2p+1 };B2基準化曲線に変換する。 Into a B2 reference curves; 2p + 1}. B2 tに至る軌跡が上区分線V U (下区分線V L )を超えて増加(下廻って減少)し、反転・減速(加速)し其の傾向値b2が零となる迄の期間を、B2基準化曲線の上値区分F2=H Increases beyond the B2 on section line trajectory leading to the t V U (lower dividing line V L) and (Shitamawa' decreased), the time until its tendency value b2 is inverted or deceleration (acceleration) becomes zero, upside classification of B2 standardized curve F2 = H
(下値区分F2=L)とし選別する。 And then sorting (lower price segment F2 = L). 図6は、図5にB 6, B in FIG. 5
2基準化曲線及び選別結果F2を加えたものである。 2 reference curves and sorting result is obtained by adding F2. B
tの区分選別F2 tは図4の現時点よりp遡ったb2 2 classification selection F2 t of t is traced back p from the present time in FIG. 4 b2
Eの区分判別であり且つbS〜現時点の起点である。 Is a classification is determined and bS~ starting point of the current E.

【0016】{b3 t ,b3 t-1 , ・・・b3 4p+1 }; [0016] {b3 t, b3 t-1 , ··· b3 4p + 1};
b3曲線を基準化し{B3 t ,B3 t-1 , ・・・B3 normalized to b3 curve {B3 t, B3 t-1 , ··· B3
4p+1 };B3基準化曲線に変換する。 It converted to B3 reference curves; 4p + 1}. 同様に {b4 t ,b4 t-1 , ・・・b4 8p+1 };b4→{B4 Similarly {b4 t, b4 t-1 , ··· b4 8p + 1}; b4 → {B4
t ,B4 t-1 , ・・・B4 8p+1 };B4 {b5 t ,b5 t-1 , ・・・b5 16p+1 };b5→{B t, B4 t-1, ··· B4 8p + 1}; B4 {b5 t, b5 t-1, ··· b5 16p + 1}; b5 → {B
t ,B5 t-1 , ・・・B5 16p+1 };B5基準化曲線に変換する。 5 t, B5 t-1, ··· B5 16p + 1}; converted to B5 standard curves. B3 t・B4 t・B5 tに至る軌跡が上区分線V U (下区分線V L )を超えて増加(下廻って減少)し、反転・減速(加速)し其の傾向値b3・b4・ B3 t-B4 t-B5 increase locus leading to t exceeds the upper dividing line V U (lower dividing line V L) and (Shitamawa' decreased), inversion and deceleration (acceleration) and - its tendency value b3 b4 -
b5が零となる迄の期間を、B3・B4・B5基準化曲線の上値区分F3・F4・F5=H(下値区分F3・F The period until b5 is zero, B3 · B4 · upside division of B5 standard curves F3 · F4 · F5 = H (downside partitioned F3 · F
4・F5=L)とし選別する。 4 · F5 = L) and the screening. 図7は、図6にB3・B 7, FIG. 6 B3 · B
4・B5基準化曲線及び各選別結果F3・F4・F5を加えたものである。 4 · B5 reference curves and the sorting result is obtained by adding the F3 · F4 · F5. B3 t・B4 t・B5 tの区分選別F3 t・F4 t・F5 tは図4の現時点より2p・4p B3 t · B4 classification selection of t · B5 t F3 t · F4 t · F5 t is 2p · 4p from the present time in FIG. 4
・8p遡ったb3E・b4E・b5Eの区分判別であり且つ(b2S〜b2E)・(b3S〜b3E)・(b4 · 8p back was b3E · b4E · b5E is a segment discrimination and (b2S~b2E) · (b3S~b3E) · (b4
S〜b4E)への各起点である。 Which are the starting point to the S~b4E).

【0017】現時点にシグナルT U (T L )・X U (X [0017] the moment to signal T U (T L) · X U (X
L )を検出し且つ上値区分F2 t =H(下値区分F2 t L) detects and upside segment F2 t = H (downside classified F2 t
=L)の場合シグナルT U (T L )・X U (X L )は少なくともpの期間上昇(下降)を経て到達したもので、 = L) when the signal T U (T L) · X U (X L) is obtained by reaching through at least rising period p a (downward)
シグナルT U (T L )・X U (X L )はT1U(T1 Signal T U (T L) · X U (X L) is T1U (T1
L)・X1U(X1L)に各々変換される。 Are each converted into L) · X1U (X1L). 更にF3 t In addition F3 t
=H(下値区分F3 t =L)の場合少なくとも2*pの期間上昇(下降)を経たものでT1U(T1L)・X1 = H (downside segment F3 t = L) rising period when at least 2 * p of T1U in that after the (downward) (T1L) · X1
U(X1L)は各々T2U(T2L)・X2U(X2 U (X1L) each T2U (T2L) · X2U (X2
L)に各々変換される。 L) are each converted into. 更にF4 t =H(F4 t =L) Further F4 t = H (F4 t = L)
の場合少なくとも2*2*pの期間上昇(下降)を経たものでT2U(T2L)・X2U(X2L)はT3U If at least 2 * 2 * rising period of the p T2U in that after the (downward) (T2L) · X2U (X2L) is T3U of
(T3L)・X3U(X3L)に各々変換される。 Are each converted into (T3L) · X3U (X3L). 更にF5 t =H(F5 t =L)の場合少なくとも2*2*2 Further F5 t = H (F5 t = L) when at least 2 * 2 * 2
*pの期間上昇(下降)を経たものでT3U(T3L) * P rising period of the T3U in what has passed through the (downward) (T3L)
・X3U(X3L)はT4U(T4L)・X4U(X4 · X3U (X3L) is T4U (T4L) · X4U (X4
L)に各々変換される。 L) are each converted into.

【0018】上記のプロセスを経た過程を、逐次時系列に表現したものが図1である。 [0018] The process through the above process, a representation sequentially time series is shown in FIG. 時系列各項の数値は、該時系列項以前のみの実績より導かれたものであり逐次追記される。 Numerical sections chronological has been derived from the results of the time series terms previously only is sequentially additionally written. 過去に於ける極値及び極値直前シグナルも同様、該時点を最終項とした条件下で検出したものである。 Similarly past in extreme and extremes just before the signal is obtained by detecting under conditions and last term of said time points.

【0019】 [0019]

【発明の実施の形態】図10は本発明の構成及び機能のフローを示す。 DETAILED DESCRIPTION OF THE INVENTION Figure 10 shows a flow of a configuration and functions of the present invention. 通信その他の伝達メディアを介し入手した各対象銘柄別の、時価D t+1を、記憶装置より再生出力した時系列{D t ,D t-1 ,・・・D 1 }の最後項に加え、新規に{D t+1 ,D t ,D t-1 ,・・・D 1 }を構成する。 Alternative each subject stocks obtained via the communication other transmission media, the market value D t + 1, time series from the storage device and reproduced outputs {D t, D t-1 , ··· D 1} In addition to the last section constitute new {D t + 1, D t , D t-1, ··· D 1} a. 時価D t+1に見合うb t+1 ,B t+1を算出し極値前シグナル(T U ,T L )・極値シグナル(X U Market value D t + b t + 1 commensurate with 1, B t + 1 to calculate the extreme front signal (T U, T L) · extrema signal (X U,
L )の発生を見た銘柄を一次選別し、図11に示すフローチャートに従い、時価に到る上昇(下降)期間別、 Stocks viewed occurrence of X L) screened primary, according to the flowchart shown in FIG. 11, rise leading to market (falling) Period,
極値直前及び極値銘柄二次検出作業を市場別に全銘柄に対し行う。 Made to the all issues extreme value immediately before and an extreme value stocks secondary detection work in another market. 予め投資家よりの要望の市場或いは特定の分野の範囲に検出の対象銘柄が在る場合は印刷物・ファックスその他通信装置を操作し配信する。 In advance if the investment market or target brand range in the detection of specific areas of needs of than the house is there to manipulate the printed matter, fax and other communication equipment delivery.

【0020】予め{D t ,D t-1 ,・・・D 1 }の株価実績時系列を記憶装置より出力し、短期p+1インターバルでサブチャート図12の手順で {b t ,b t-1 ,・・・b p+1 };短期移動傾向値b及び其の平均値、標準偏差、 {y t ,y t-1 ,・・・y p+1 };株価平滑化値yを算出、再度記憶装置へ出力する。 The pre {D t, D t-1 , ··· D 1} and output from the storage device the actual stock prices time series, short p + 1 interval in the procedure of the sub-chart 12 {b t, b t- 1 , ··· b p + 1}; short moving tendency value b and its average value, standard deviation, {y t, y t- 1, ··· y p + 1}; calculated stock smoothed value y, and outputs it to the re-storage device.

【0021】入力装置より時価D t+1 、記憶装置より出力した{D t ,D t-1 ,・・・D t- p+2 }より短期インターバルp+1で導かれた短期傾向値b t+1 、B基準化値B t+1を算出し、B基準化値B t-1 <B t >B t+1で且つB tが上区分線V Uを超え、其の軌跡が凸の折り返し時点シグナルOP$=T U及びB t-1 >B t <B t+ 1 The input device market D t + 1 from the output was from the storage device {D t, D t-1 , ··· D t- p + 2} than directed in the short term interval p + 1 short-term trend value b t + 1, B is calculated scaled value B t + 1, and B t is more than the upper dividing line V U at B scaled value B t-1 <B t> B t + 1, its locus convex folding time signal OP $ = T U and B t-1> B t < B t + 1
即ち判別線V Lを下回り、其の軌跡が凹の折り返し時点シグナルOP$=T Lを検出、検出無き場合はOP$ That is lower than the discrimination line V L, detected its locus is the return point in time signal OP $ = T L of concave, when the detected there is nothing OP $
=""と記憶装置の該銘柄ファイルに出力する。 = "Output to the 該銘 pattern file of" a storage device.

【0022】現時点以前に極値直前シグナルOP$=T [0022] currently before the extreme value just before the signal OP $ = T
U 、OP$=T Lを検出し未だ、極値を見ない銘柄検出、即ち記憶装置より取り出した該銘柄ファイルのOP U, OP $ = detects T L still, stocks detection without looking at the extremes, i.e. OP of該銘pattern file retrieved from the storage device
$<>""で、短期移動傾向値曲線(b)が水平線を切る箇所、SGN(b t )<>SGN(b t+1 )をOP$= At $ <> "", where short-term moving tendency value curve (b) is cut a horizontal line, SGN (b t) <> SGN the (b t + 1) OP $ =
Uの場合は上値の極値OP$=X U 、OP$=T Lの場合は下値の極値OP$=X Lと記憶装置に出力する。 T extremum of upside in the case of U OP $ = X U, OP $ = For T L and outputs the extremum OP $ = X L and the storage device of the downside.

【0023】上記、銘柄の一次選別において極値前シグナルT U (T L )・極値シグナルX U (X L )を見た銘柄は既に記憶装置に入力済みの{D t+1 ,D t [0023] The above, in the primary selection of stocks extreme front signal T U (T L) · extrema signal X U (X L) of the saw stocks already entered already in the storage device {D t + 1, D t ,
t-1 ,・・・D 1 }より図11メインフローに示す如く図12のサブチャート・図13のサブチャートの手順で{b t+1 ,b t ,b t-1 ,・・・b p+1 };b短期移動傾向値・{B t+1 ,B t ,B t-1 ,・・・B p+1 }; D t-1, ··· D 1 } from Figure 11 {b t + 1 the procedure subchart sub chart 13 of Figure 12 as shown in the main flow, b t, b t-1 , ··· b p + 1}; b short moving tendency value · {B t + 1, B t, B t-1, ··· B p + 1};
B基準化値を算出、記憶装置に出力する。 Calculating a B scaled values, and outputs to the storage device.

【0024】同様2NDインターバル2p+1を採用し図12のサブチャート・図13のサブチャートの手順で{b2 t ,b2 t-1 ,・・・b2 2p+1 };b2曲線・ [0024] Similarly 2ND interval 2p + 1 in step subchart sub chart 13 of adopting Figure 12 {b2 t, b2 t-1 , ··· b2 2p + 1}; b2 curve -
{B2 t+1 ,B2 t ,B2 t-1 ,・・・B2 2p+1 };B {B2 t + 1, B2 t , B2 t-1, ··· B2 2p + 1}; B
基準化値を記憶装置に。 The scaled value to the storage device. 順次、同様手順で3RDインターバル4p+1・4THインターバル8p+1・5TH Sequentially, 3RD interval 4p in the same procedure + 1 · 4TH interval 8p + 1 · 5TH
インターバル16p+1と繰り返し {b3 t+1 ,b3 t ,b3 t-1 ,・・・b3 4p+1 };b Interval 16p + 1 and repeat {b3 t + 1, b3 t , b3 t-1, ··· b3 4p + 1}; b
3移動傾向値 {B3 t+1 ,B3 t ,B3 t-1 ,・・・B3 4p+1 };B 3 moving tendency value {B3 t + 1, B3 t , B3 t-1, ··· B3 4p + 1}; B
3基準化値 {b4 t+1 ,b4 t ,b4 t-1 ,・・・b4 8p+1 };b 3 scaled values {b4 t + 1, b4 t , b4 t-1, ··· b4 8p + 1}; b
4移動傾向値 {B4 t+1 ,B4 t ,B4 t-1 ,・・・B4 8p+1 };B 4 moving tendency value {B4 t + 1, B4 t , B4 t-1, ··· B4 8p + 1}; B
4基準化値 {b5 t+1 ,b5 t ,b5 t-1 ,・・・b5 16p+1 }; 4 scaled values {b5 t + 1, b5 t , b5 t-1, ··· b5 16p + 1};
b5移動傾向値 {B5 t+1 ,B5 t ,B5 t-1 ,・・・B5 16p+1 }; b5 moving tendency value {B5 t + 1, B5 t , B5 t-1, ··· B5 16p + 1};
B5基準化値を算出記憶装置に出力する。 The B5 scaled value and outputs the calculated storage device.

【0025】図15のサブチャートは各移動傾向値曲線の上(下)区分判別のフローを示す。 The sub-chart of FIG. 15 shows the flow of the upper (lower) division determination of each moving tendency value curve. {b2 t ,b2 {B2 t, b2
t-1 ,・・・b2 2p+1 };b2曲線と{B2 t ,B2 t-1, ··· b2 2p + 1}; b2 curve and {B2 t, B2
t-1 ,・・・B2 2p+1 };B2基準化曲線の組み合わせで現時点に到る軌跡で、B2基準化曲線が上区分線V U t-1, ··· B2 2p + 1}; B2 a locus leading to current in combination with standard curves, the upper partial lines B2 standardized curve V U
(下区分線V L )を超えて増加(下廻って減少)し、反転・減速(加速)し其の傾向値b2が零となる迄の期間を、B2基準化曲線の上値区分F2=H(下値区分F2 Increased beyond a (lower dividing line V L) (Shitamawa' decreased), the time until inversion and deceleration (acceleration) its tendency value b2 and is zero, B2 scaled upside segment curve F2 = H ( downside division F2
=L)とし{F2 t ,F2 t-1 ,・・・F2 2p+1 };F = L) and then {F2 t, F2 t-1 , ··· F2 2p + 1}; F
2区分時系列を選出、記憶装置に出力する。 2 selects the indicator time series, and outputs to the storage device.

【0026】b3曲線とB3基準化曲線の組み合わせで、F3区分時系列を選出、記憶装置に、b4曲線とB [0026] b3 in combination curve and B3 reference curves, selecting the F3 partitioned time series, in the storage device, b4 curve and B
4基準化曲線の組み合わせで、F4区分時系列を選出、 4 in combination with standard curves, selecting the F4 classification time series,
記憶装置に、b5曲線とB5基準化曲線の組み合わせで、F5区分時系列を選出、記憶装置に。 The storage device, b5 in combination curve and B5 reference curves, F5 elected classification time series, in the storage device.

【0027】株価実績時系列D;円滑化株価y;各傾向値b・b2・b3・b4・b5;各基準化曲線B・B2 The actual stock prices time-series D; facilitation stock y; each trend value b · b2 · b3 · b4 · b5; each reference curves B · B2
・B3・B4・B5;F区分時系列F・F2・F3・F · B3 · B4 · B5; F partitioned time series F · F2 · F3 · F
4・F5を記憶装置より取り出し、各時点毎に前記(D The 4 · F5 was taken out from the storage device, wherein each time point (D
+y+b+b2+b3+b4+b5+B+B2+B3+ + Y + b + b2 + b3 + b4 + b5 + B + B2 + B3 +
B4+B5+F+F2+F3+F4+F5)で構成するフォーマットに組み替え、現時点に到るまで時系列に則て、記憶装置及び出力装置に、逐次出力する。 Reclassified format composed B4 + B5 + F + F2 + F3 + F4 + F5), Te law in time series down to the present time, the storage device and an output device, which outputs sequentially.

【0028】図14サブチャートは時価D t+1に到るまでの上昇(下降)期間を検出する過程である。 [0028] Figure 14 subchart a step of detecting a rising (falling) time to reach the market D t + 1. 株価が極値に到る値幅の大きさは、其の上昇(下降)角度が基準を超えてから上昇(下降)期間の長さに依存する。 Width sized to stock price reaches the extremum is dependent on the length of its rise (fall) angle increases after exceeding a reference (descending) period. 極値の直前シグナル(T U )検出銘柄で、逐次出力する過程の最終項が(F2=H)の場合、(OP$=T U )→ Just before the signal (T U) Detection stocks extreme, when the last term in the process of sequentially outputs of (F2 = H), (OP $ = T U) →
(OP$=T1U)に変換、時価に到る迄p期間以上、 (OP $ = T1U) to conversion, up to the market value p period or more,
上昇銘柄。 Rising stocks. (F2・F3=H)の場合、(OP$=T1 In the case of (F2 · F3 = H), (OP $ = T1
U)→(OP$=T2U)、時価に到る迄2p期間以上、上昇銘柄。 U) → (OP $ = T2U), up to the market value 2p period or more, rising stocks. (F2・F3・F4=H)の場合、(O For (F2 · F3 · F4 = H), (O
P$=T2U)→(OP$=T3U)、時価に到る迄4 P $ = T2U) → (OP $ = T3U), up to the market value 4
p期間以上、上昇銘柄。 p period or more, rising stocks. (F2・F3・F4・F5= (F2 · F3 · F4 · F5 =
H)の場合、(OP$=T3U)→(OP$=T4 In the case of H), (OP $ = T3U) → (OP $ = T4
U)、時価に到る迄8p期間以上上昇極値の直前銘柄とし記憶装置及び出力装置に出力する。 U), and outputs leading up to the immediately preceding stocks rise extreme than 8p period in the storage device and an output device to market.

【0029】極値の直前シグナル(T L )検出銘柄で、 [0029] in the immediately preceding signal (T L) detection brand of extreme value,
逐次出力する過程の最終項が(F2=L)の場合、(O If the final term of the sequential output to process the (F2 = L), (O
P$=T L )→(OP$=T1L)に変換、時価に到る迄p期間以上、下降銘柄。 P $ = T L) → ( OP $ = T1L) to conversion, up to the market value p period or more, falling stocks. (F2・F3=L)の場合、 In the case of (F2 · F3 = L),
(OP$=T1L)→(OP$=T2L)、時価に到る迄2p期間以上、下降銘柄。 (OP $ = T1L) → (OP $ = T2L), up to the market value 2p period or more, falling stocks. (F2・F3・F4=L) (F2 · F3 · F4 = L)
の場合、(OP$=T2L)→(OP$=T3L)、時価に到る迄4p期間以上、下降銘柄。 Of the case, (OP $ = T2L) → (OP $ = T3L), up to the market value 4p period or more, falling stocks. (F2・F3・F (F2 · F3 · F
4・F5=L)の場合、(OP$=T3L)→(OP$ 4 · F5 = L) In the case of, (OP $ = T3L) → (OP $
=T4L)、時価に到る迄8p期間以上、下降極値の直前銘柄とし記憶装置及び出力装置に出力する。 = T4L), until reaching the market 8p period or more, and just before stocks falling extreme outputs to the storage device and an output device.

【0030】極値シグナル(X U )検出銘柄で、逐次出力する過程の最終項が(F2=H)の場合、(OP$= [0030] In extreme signal (X U) detected stocks, when the last term in the process of sequentially outputs of (F2 = H), (OP $ =
U )→(OP$=X1U)に変換、時価に到る迄p期間以上、上昇銘柄。 X U) → (OP $ = X1U) to conversion, up to the market value p period or more, rising stocks. (F2・F3=H)の場合、(OP In the case of (F2 · F3 = H), (OP
$=X1U)→(OP$=X2U)、時価に到る迄2p $ = X1U) → (OP $ = X2U), up to the market value 2p
期間以上、上昇銘柄。 Period or more, rising stocks. (F2・F3・F4=H)の場合、(OP$=X2U)→(OP$=X3U)、時価に到る迄4p期間以上、上昇銘柄。 In the case of (F2 · F3 · F4 = H), (OP $ = X2U) → (OP $ = X3U), up to the market value 4p period or more, rising stocks. (F2・F3・F4・ (F2 · F3 · F4 ·
F5=H)の場合、(OP$=X3U)→(OP$=X In the case of F5 = H), (OP $ = X3U) → (OP $ = X
4U)、時価に到る迄8p期間以上、上昇極値銘柄とし記憶装置及び出力装置に出力する。 4U), it reaches up to 8p period above market value, and outputs a raised extreme stock in the storage device and an output device.

【0031】極値シグナル(X L )検出銘柄で、逐次出力する過程の最終項が(F2=L)の場合、(OP$= [0031] In extreme signal (X L) Detection stocks, when the last term in the process of sequentially outputs of (F2 = L), (OP $ =
L )→(OP$=X1L)に変換、時価に到る迄p期間以上、下降銘柄。 X L) → (OP $ = X1L) to conversion, up to the market value p period or more, falling stocks. (F2・F3=L)の場合、(OP In the case of (F2 · F3 = L), (OP
$=X1L)→(OP$=X2L)、時価に到る迄2p $ = X1L) → (OP $ = X2L), up to the market value 2p
期間以上、下降銘柄。 Period or more, falling stocks. (F2・F3・F4=L)の場合、(OP$=X2L)→(OP$=X3L)、時価に到る迄4p期間以上、下降銘柄。 In the case of (F2 · F3 · F4 = L), (OP $ = X2L) → (OP $ = X3L), up to the market value 4p period or more, falling stocks. (F2・F3・F4・ (F2 · F3 · F4 ·
F5=L)の場合、(OP$=X3L)→(OP$=X In the case of F5 = L), (OP $ = X3L) → (OP $ = X
4L)、時価に到る迄8p期間以上、下降極値銘柄とし記憶装置及び出力装置に出力する。 4L), reaches up to 8p period above market value, and lowered extreme stocks outputs to the storage device and an output device.

【0032】全銘柄について以上検出工程を繰り返し、 [0032] repeating the detection step above for all issues,
時価が極値前シグナル(T1U・T2U・T3U・T4 Market value is an extreme value before signal (T1U · T2U · T3U · T4
U)を検出銘柄は記憶装置の上値極値前銘柄ファイルに、極値前シグナル(T1L・T2L・T3L・T4 The upside extreme before stocks file detection stocks storage device U), extreme front signal (T1L · T2L · T3L · T4
L)検出銘柄は記憶装置の下値極値前銘柄ファイルに、 L) Detection stocks before downside extreme storage device issues a file,
極値シグナル(X1U・X2U・X3U・X4U)検出銘柄は記憶装置の上値極値銘柄ファイルに、極値シグナル(X1L・X2L・X3L・X4L)検出銘柄は記憶装置の下値極値銘柄ファイルに入力する。 The extreme value signal (X1U · X2U · X3U · X4U) Detection stocks storage device upside extreme brand file, extrema signal (X1L · X2L · X3L · X4L) Detection stocks enter the downside extreme brand file storage device to. 各ファイルに検出銘柄が在るときは、投資家その他特定者に対しファックス・インターネット等通信装置を操作し配信する。 When each file there is a detection stocks, investors with respect to certain other persons to operate the fax Internet such as a communication device delivery.

【0033】 [0033]

【実施例】図1は株式極値検出の配信資料で、時価がX [Example] FIG. 1 is a delivery article in the stock extreme detection, market value is X
4L即ち下降トレンド8p=32日以上の下値極値銘柄を検出した一例である。 4L That is an example of detecting the downward trend 8p = 32 days or more downside extreme stocks. 4日遡った時点で極値直前シグナルT4Lを検出し、投資家は報告を受け検討を始める。 To detect an extreme value immediately before the signal T4L at the time that four days back was, investors begin to consider response to the report. 本銘柄の注目期間は極値直前シグナルから極値シグナル迄である。 Attention span of this brand is from the extreme value just before the signal up to the extreme value signal.

【0034】図8は為替市場の中、ドル/円相場適用例である。 [0034] FIG. 8 in the foreign exchange market, is the dollar / yen exchange rate applications. 極値直前シグナルT2L・T3L検出直後、極値シグナルX3L、即ち下降トレンド4p=16日以上の下値極値を検出し、以降若干反発もみ合い状態にある。 Immediately after the extremum just before signal T2L · T3L detection, extreme signal X3L, i.e. to detect the downward trend 4p = 16 days or more downside extreme, in some repulsive scuffle state later. 時価は検出対象にならない。 Fair value is not to be detected.

【0035】図9は商品市場の中、東京大豆市況適用例である。 [0035] FIG. 9 is in the commodity market, is a Tokyo soybean market applications. 極値直前シグナルT4L即ち下降トレンド8p Extreme value immediately before the signal T4L That downward trend 8p
=32日以上の下値極値直前状態で、bEが水平線を横切る直前状態から明日にも極値シグナルX4Lを検出する可能性が高い。 = 32 days or more lower price extreme earlier state, is likely to detect an extreme value signal X4L also tomorrow from the previous state across the horizon bE.

【0036】 [0036]

【発明の効果】従来の研究から、株価時系列実績から延長して、将来の株価を予測する事は殆ど不可能である(参考文献2,3)。 From previous studies, according to the present invention, so as to extend from the stock price time series track record, it is almost impossible to predict the future of the stock price (Ref. 2 and 3). テクニカル分析が株価の将来を予測する能力がない状況下、効果的な投資姿勢は時価が下がりきった銘柄を買い、時価が上がりきった現時点で売る事である。 Under the circumstances technical analysis there is no ability to predict the future of stock prices, effective investment attitude is to buy a market value is fully falling stocks, is it sell at the moment the market value is fully up. 時価が極値直前の銘柄から極値銘柄まで現時点で把握し、投資する事も本発明により可能となる。 Market value is to understand at the moment from the extreme value just before the stock until the extreme values ​​stocks, that invest also made possible by the present invention.
又3000を越す国内株式その他市場取引銘柄より、上記選別・把握銘柄群を投資家に提供出来ることは、投資家にとって限られた数の選出銘柄で全銘柄を監視下に置くことである。 Also from the domestic stock and other market traded stocks in excess of 3000, that can provide investors with the sorting and understanding brand group, is to put all the stocks under surveillance in the election stocks of a limited number of investors.

【図面の簡単な説明】 BRIEF DESCRIPTION OF THE DRAWINGS

【図1】時価が極値の銘柄検出過程報告書で配信資料でもある。 [Figure 1] market value is also the delivery documents under the symbol detection process reports of extreme value.

【図2】原時系列数値Dを平滑化する段階で、平滑化値yと短期移動傾向値b(微分係数)との相互関連説明図。 [Figure 2] in the stage of smoothing the series numerical D when the original, mutually related illustration of a smoothing value y and short moving tendency value b (derivative).

【図3】株価と短期インターバル〜5THインターバルより算出した各移動傾向値との関連図。 [3] related chart of the moving tendency values ​​calculated from stock and short term interval ~5TH interval.

【図4】図3の移動傾向値の関連部分の拡大図。 Figure 4 is an enlarged view of a relevant portion of the moving tendency value of FIG.

【図5】平滑化値y曲線、短期移動傾向値b曲線、B基準化曲線、区分記号Fの相互関連説明図。 [5] smoothed value y curve, short-term moving tendency value b curve, B reference curves, interrelated illustration of delimiters F.

【図6】図5に傾向値b2曲線、B2基準化曲線、区分記号F2を追加。 Add tendency value b2 curve [6] FIG. 5, B2 scaling curve, the delimiters F2. 相互関連説明図。 Interrelated illustration.

【図7】株価、B〜B5基準化曲線、F〜F5区分記号、極値直前シグナル、極値シグナルの相互関連説明図。 [7] stock, B~B5 reference curves, F~F5 delimiters, extremes just before signal, interrelated illustration of the extreme signals.

【図8】時価が極値の銘柄検出過程報告書で為替市場適用の配信資料の一例である。 FIG. 8 is an example of the delivery documentation of the market value exchange market applied in the stocks detection process reports of extreme value.

【図9】時価が極値の銘柄検出過程報告書で商品市場適用の配信資料の一例である。 [9] market value is an example of the delivery documentation of commodity markets applied in the stocks detection process reports of extreme value.

【図10】本発明の構成及び機能の展開図。 It exploded view of configuration and functions of the present invention; FIG.

【図11】検出工程の総括フローチャート。 [11] Summary flowchart detection step.

【図12】移動傾向値算出フローチャート。 [12] moving tendency value calculation flowchart.

【図13】基準化のフローチャート。 FIG. 13 is a flowchart of the scaling.

【図14】極値直前・極値銘柄期間別、選別フローチャート。 [14] extremum before and extreme brand Period sorting flow.

【図15】区分Fの区分決定フローチャート。 [15] classification decision flow chart of segment F.

【図16】符号の説明及び符号相互関係を示す図。 FIG. 16 shows the sign of description and code correlation.

Claims (4)

    【特許請求の範囲】 [The claims]
  1. 【請求項1】 イ)記憶装置より取り出した株価実績時系列(D)より短期インターバルp+1で導かれた短期移動傾向値時系列(b)及び基準化時系列(B)を算出し記憶装置に出力する準備工程と、 ロ)前記記憶装置より取り出した銘柄の、時価に到る株価実績の最終項に、入力装置を介し時価D t+1を加えた時系列数値(D)から、短期インターバルp+1で導かれた短期傾向値b t+1 、B基準化値B t+1を算出し、B To 1. A) calculated storage stock actual time series taken out from the storage device (D) than conducted at short intervals p + 1 short-term moving tendency value time series (b) and the reference time series (B) a preparation step of outputting, of the stocks extracted from b) the storage device, the last term of the leading stock proven market, from the time series numeric plus market value D t + 1 via the input device (D), short term interval calculating the short-term trend value b t + 1, B normalized value B t + 1 derived by p + 1, B
    基準化値B t-1 <B t >B t+1且つB tが上区分線(V Scaled value B t-1 <B t> B t + 1 and B t is the upper dividing line (V
    U ) を超へ、其の軌跡が凸の折り返し時点シグナルOP The U) fart super, its trajectory is convex folded time signal OP
    $=(T U )、及びB t-1 >B t <B t+1即ち判別線(V L )を下回り、其の軌跡が凹の折り返し時点シグナルOP$=(T L )を検出、検出無き場合はOP$="" $ = (T U), and B t-1> B t below the <B t + 1 That discrimination line (V L), its trajectory is concave folding point signal OP $ = (T L) the detection, detection If there is nothing OP $ = ""
    と前記記憶装置に出力する短期極値直前の銘柄、一次選別工程と、 ハ)現時点以前に極値直前シグナルOP$=(T U )、 The short-term extreme just before the stock to be output to the storage device, the primary selection step and, c) the moment before the extremum just before the signal OP $ = a (T U),
    OP$=(T L )を検出し未だ、極値を見ない銘柄検出即ち記憶装置より取り出したOP$<>""で、短期移動傾向値曲線(b)が水平線を切る箇所、SGN(b t OP $ = (T L) detected yet and in OP $ taken out from stock detector or storage device without looking at extreme <> "", point short-term moving tendency value curve (b) is cut horizontal lines, SGN (b t)
    <>SGN(b t+1 )で且つOP$=(T U )の場合は上値の極値OP$=(X U )、OP$=(T L )の場合は下値の極値OP$=(X L )と前記記憶装置に出力する短期極値銘柄、一次選別工程と、 ニ)株価実績時系列(D)からインターバル2p+1で導かれた移動傾向値b2曲線(b2)、基準化変換したB2基準化曲線(B2)を算出、前記記憶装置に出力し同様手順にてインターバル4p+1・8p+1・16p+ <> SGN (b t + 1 ) and OP $ = In (T U) extreme OP $ = (X U) in upside For, OP $ = (T L) in the case of downside extremes OP $ = (X L) and short-term extreme stocks to be output to the storage device, the primary selection step, d) the actual stock prices time series (D) derived by the interval 2p + 1 from the moving tendency value b2 curve (b2), was converted scaled calculated B2 standard curves (B2), the interval 4p in the storage device and outputs similar to Step + 1 · 8p + 1 · 16p +
    1で導かれた移動傾向値b3・b4・b5曲線(b3・ Moving tendency value derived in 1 b3 · b4 · b5 curve (b3 ·
    b4・b5)、B3・B4・B5基準化曲線(B3・B b4 · b5), B3 · B4 · B5 standard curves (B3 · B
    4・B5)を算出、前記記憶装置に出力する工程と、 ホ)各基準化曲線(B・B2・B3・B4・B5)が上区分線(V U )を超えて増加し、反転・減速し其の各傾向値(b・b2・b3・b4・b5)が各々零となる迄の期間を、(B・B2・B3・B4・B5)基準化曲線の各上値区分(F・F2・F3・F4・F5=H)、下区分線(V L )下廻って減少し反転・加速し其の各傾向値(b・b2・b3・b4・b5)が各々零となる迄の期間を、(B・B2・B3・B4・B5)各基準化曲線の下値区分(F・F2・F3・F4・F5=L)としたF時系列(F)選別工程と、 ヘ)株価実績時系列(D)・円滑化株価(y)・各傾向値(b・b2・b3・b4・b5)・各基準化曲線(B 4 - B5) calculates, increased beyond and outputting to the storage device, e) the reference curves (B-B2-B3-B4-B5) the upper division line (V U), the inversion and deceleration was its duration until the trend value (b · b2 · b3 · b4 · b5) is respectively zero, (B · B2 · B3 · B4 · B5) each upside partitioning criteria curves (F · F2 · F3 · F4 · F5 = H) , the period until the lower dividing line (V L) Shitamawa' decreased inversion and accelerated its respective tendency value (b · b2 · b3 · b4 · b5) is respectively zero, (B · B2 · B3 · B4 · B5) downside classification of each reference curves and (F · F2 · F3 · F4 · F5 = L) and the F time series (F) selection process was, f) stock actual time series ( D) · facilitation stock (y) · the trend value (b · b2 · b3 · b4 · b5) · each reference curves (B
    ・B2・B3・B4・B5)・F区分時系列(F・F2 · B2 · B3 · B4 · B5) · F classification time series (F · F2
    ・F3・F4・F5)を前記記憶装置より取り出し、各時点毎に前記D t +y t +b t +b2 t +b3 t +b4 · F3 · F4 · F5) was taken out from the storage device, wherein each time point D t + y t + b t + b2 t + b3 t + b4
    t +b5 t +B t +B2 t +B3 t +B4 t +B5 t t + b5 t + B t + B2 t + B3 t + B4 t + B5 t +
    t +F2 t +F3 t +F4 t +F5 tで構成するフォーマットに組み替え、現時点に到るまで時系列t=1〜 Reclassified format constituted by F t + F2 t + F3 t + F4 t + F5 t, sequence t =. 1 to time up to the present time
    t+1に則て逐次、前記記憶装置及び出力装置に逐次出力する工程と、 ト)極値の直前シグナル(T U )一次検出銘柄で、逐次出力する過程の最終項が(F2=H)の場合、(OP$ t + 1 successive Te law in a step of sequentially outputting said storage device and an output device, g) immediately before the signal (T U) primary detection stocks extreme, when the last term in the process of sequentially outputs of (F2 = H) , (OP $
    =T U )→(OP$=T1U)に変換し、時価に到る迄p期間以上の上昇銘柄・(F2・F3=H)の場合、 = T U) → (OP $ = converted to T1U), the case of leading up to or greater rise p period stocks · (F2 · F3 = H) in market value,
    (OP$=T1U)→(OP$=T2U)、時価に到る迄2p期間以上、上昇銘柄・(F2・F3・F4=H) (OP $ = T1U) → (OP $ = T2U), up to the market value 2p period or more, rising stocks · (F2 · F3 · F4 = H)
    の場合、(OP$=T2U)→(OP$=T3U)、時価に到る迄4p期間以上、上昇銘柄・(F2・F3・F Of the case, (OP $ = T2U) → (OP $ = T3U), up to the market value 4p period or more, rising stocks · (F2 · F3 · F
    4・F5=H)の場合、(OP$=T3U)→(OP$ 4 · F5 = H) In the case of, (OP $ = T3U) → (OP $
    =T4U)、時価に到る迄8p期間以上上昇極値の直前銘柄とし前記記憶装置及び出力装置に出力する出力工程と、 チ)極値の直前シグナル(T L )一次検出銘柄で、逐次出力する過程の最終項が(F2=L)の場合、(OP$ = T4U), and an output step of an leading just before stocks rise extreme than 8p period market output to the storage device and an output device, h) just before the signal (T L) primary detection stocks extremes, sequential output If the final term of the process of the of the (F2 = L), (OP $
    =T L )→(OP$=T1L)に変換、時価に到る迄p = T L) → (OP $ = T1L) to conversion, up to the market value p
    期間以上、下降銘柄・(F2・F3=L)の場合、(O Period or more, in the case of falling stocks · (F2 · F3 = L), (O
    P$=T1L)→(OP$=T2L)、時価に到る迄2 P $ = T1L) → (OP $ = T2L), up to the market value 2
    p期間以上、下降銘柄・(F2・F3・F4=L)の場合、(OP$=T2L)→(OP$=T3L)、時価に到る迄4p期間以上、下降銘柄・(F2・F3・F4・ p period above, in the case of falling stocks · (F2 · F3 · F4 = L), (OP $ = T2L) → (OP $ = T3L), leading up to 4p period more than the mark-to-market, falling stocks · (F2 · F3 · F4 ·
    F5=L)の場合、(OP$=T3L)→(OP$=T In the case of F5 = L), (OP $ = T3L) → (OP $ = T
    4L)、時価に到る迄8p期間以上、下降極値の直前銘柄とし前記記憶装置及び出力装置に出力する工程と、 リ)極値シグナル(X U )一次検出銘柄で、逐次出力する過程の最終項が(F2=H)の場合、(OP$= 4L), reaches up to 8p period above market value, and outputting to the storage device and an output device to the previous brand of descent extreme, Li) in extreme signal (X U) primary detection stocks, the process sequentially outputs If the final term is (F2 = H), (OP $ =
    U )→(OP$=X1U)に変換、時価に到る迄p期間以上、上昇銘柄・(F2・F3=H)の場合、(OP X U) → (OP $ = X1U) to conversion, up to the market value p period above, in the case of rising stocks · (F2 · F3 = H) , (OP
    $=X1U)→(OP$=X2U)、時価に到る迄2p $ = X1U) → (OP $ = X2U), up to the market value 2p
    期間以上、上昇銘柄・(F2・F3・F4=H)の場合、(OP$=X2U)→(OP$=X3U)、時価に到る迄4p期間以上、上昇銘柄・(F2・F3・F4・ Period above, in the case of rising stocks · (F2 · F3 · F4 = H), (OP $ = X2U) → (OP $ = X3U), up to the market value 4p period or more, rising stocks · (F2 · F3 · F4 -
    F5=H)の場合、(OP$=X3U)→(OP$=X In the case of F5 = H), (OP $ = X3U) → (OP $ = X
    4U)、時価に到る迄8p期間以上、上昇極値銘柄とし前記記憶装置及び出力装置に出力する工程と、 ヌ)極値シグナル(X L )検出銘柄で、逐次出力する過程の最終項が(F2=L)の場合、(OP$=X L )→ 4U), until reaching the market 8p period or more, the steps of the rising extreme value stocks to output to the storage device and an output device, j) in the extreme signal (X L) Detection stocks, the last term in the process of sequentially outputs in the case of (F2 = L), (OP $ = X L) →
    (OP$=X1L)に変換、時価に到る迄p期間以上、 (OP $ = X1L) to conversion, up to the market value p period or more,
    下降銘柄・(F2・F3=L)の場合、(OP$=X1 In the case of falling stocks · (F2 · F3 = L), (OP $ = X1
    L)→(OP$=X2L)、時価に到る迄2p期間以上、下降銘柄・(F2・F3・F4=L)の場合、(O L) → (OP $ = X2L), up to the market value 2p period above, in the case of falling stocks · (F2 · F3 · F4 = L), (O
    P$=X2L)→(OP$=X3L)、時価に到る迄4 P $ = X2L) → (OP $ = X3L), up to the market value 4
    p期間以上、下降銘柄・(F2・F3・F4・F5= p period or more, falling stocks · (F2 · F3 · F4 · F5 =
    L)の場合、(OP$=X3L)→(OP$=X4 In the case of L), (OP $ = X3L) → (OP $ = X4
    L)、時価に到る迄8p期間以上、下降極値銘柄とし前記記憶装置及び出力装置に出力する工程、との工程群より構成される、時価が極値或いは其の直前を示す銘柄検出方法。 L), until reaching the market 8p period or more, the step of the descending extreme stocks outputs to the storage device and an output device, the process composed of groups, stocks detection method market exhibits an extreme value or its immediately preceding .
  2. 【請求項2】 イ) 情報のメディアを介し入手した時価を、インプットする入力装置と、 ロ) 記憶装置より再生した該銘柄の過去の時系列数値(D)・極値直前シグナル(OP$=T U・T L )の有無、及び時価より極値直前・極値銘柄の一次選出用傾向値(b t-1 〜b t+1 )同基準化値(B t-1 〜B t+1 )を算出し非該当銘柄を排除、選別する記憶装置・演算装置と、 ハ) 非該当銘柄に非該当の印(OP$="")を記入の上再び収納する記憶装置と、 ニ) 極値直前・極値シグナル(OP$=T U・T L・X 2. A method b) market, obtained through a media information, and input to an input device, b) a past time series numeric 該銘 pattern reproduced from the storage device (D) · extremum just before signal (OP $ = T U · T L) of the presence or absence, and primary selection for trend value of the extreme before and extreme stocks from market (b t-1 ~b t + 1) the scaled value (B t-1 ~B t + 1 ) was calculated eliminate non relevant issues, a storage device and computing device for sorting, c) a non-appropriate indicia (OP $ = "") over the fill again housed storage device not applicable stock, two) poles value before and extreme value signal (OP $ = T U · T L · X
    U・X L )一次検出銘柄の移動傾向値時系列(b5・b U · X L) primary detection stocks moving tendency value time series of (b5 · b
    4・b3・b2・b)・同基準化値(B5・B4・B3 4 · b3 · b2 · b) · the scaled value (B5 · B4 · B3
    ・B2・B)・同区分値(F5・F4・F3・F2・ · B2 · B) · this category values ​​(F5 · F4 · F3 · F2 ·
    F)を算出、一時退避する記憶装置、時系列に逐次読み出し上昇・下降期間別に選別(OP$=)を行う演算装置と、 ホ) 検出結果(OP$=)及び其の過程出力用移動傾向値時系列(b5・b4・b3・b2・b)・同基準化値(B5・B4・B3・B2・B)・同区分値(F5・F F) calculating the storage device for temporarily saving, an arithmetic unit for performing time sequential read up and down by period in screened sequence (OP $ =), e) a detection result (OP $ =) and moving tendency for the process output value time series (b5 · b4 · b3 · b2 · b) · the scaled value (B5 · B4 · B3 · B2 · B) · this category values ​​(F5 · F
    4・F3・F2・F)を該銘柄ファイルに記入の上収納する記憶装置と、 ヘ) 全銘柄検出作業終了後、集積された上値極値の直前銘柄群ファイル・下値極値の直前銘柄群ファイル・上値極値銘柄群ファイル・下値極値銘柄群ファイルを呼び出す記憶装置と、 ト) 銘柄群ファイルより検出結果(OP$=)及び其の経過書を作成・出力する装置と、 チ) 市場別・検出種別或いは投資家の要望分野別の検出銘柄の有無に応じ、操作される配信・伝達装置と、より構成される極値銘柄検出・配信装置。 A storage device configured to 4-F3-F2-F) the 該銘 pattern file storage after filling, f) after all stocks detection work end, just before stocks group immediately before stocks group file downside extremes of integrated upside extreme a storage device that calls the file upside extrema stocks group file downside extrema stocks group file, g) the stock group file from the detection result (OP $ =) and apparatus for generating and outputting a its course manual, Ji) market depending on the presence or absence of another, the detection class or investor demand sectoral detection issues, and the distribution and transmission device is operated, more composed extremum stocks detection and distribution device.
  3. 【請求項3】 株価時系列の変化を短期のインターバルp+1及び2p+1・4p+1・8p+1・16p+1より導かれた各移動傾向値(b・b2・b3・b4・b 3. A stock time series short term interval of p + 1 changes in and 2p + 1 · 4p + 1 · 8p + 1 · 16p + each moving tendency value derived from 1 (b · b2 · b3 · b4 · b
    5)を以て合成、現時点に到る傾向値の変移を(〜b5 5) with a synthesis, a change of trend values ​​leading to the present time (~b5
    E)→(b4S〜B4E)→(b3S〜b3E)→(b E) → (b4S~B4E) → (b3S~b3E) → (b
    2S〜b2E)→(bS〜bE)、各隣接区分帯の相対的関連を上値・下値区分(F5・F4・F3・F2・ 2S~b2E) → (bS~bE), the relative related upside-downside sections of each adjacent segment band (F5, F4, F3, F2,
    F)で時系列に、逐次表示し上昇・下降継続期間別に明示、併せて極値、同直前時点を明記した出力方法。 In time series at F), sequentially displaying rise and fall duration by expressly, together extremum output method as specified the same time point immediately before.
  4. 【請求項4】 イ)呼び出した株価実績時系列に時価を入力する工程と、 ロ)極値直前・極値シグナル(OP$=T U・T L・X 4. a) a step of inputting the market to the calling actual stock prices time series, ii) extremum before and extrema signal (OP $ = T U · T L · X
    U・X L )検出銘柄と非検出銘柄とを傾向値(b t-1 U · X L) Detection stocks and non-detection issues and trends value (b t-1 ~
    t+1 )同基準化値(B t-1 〜B t+1 )との関連において一次選別する工程と、 ハ) 検出銘柄に就いて時価が極値、同直前に到る迄の上昇・下降期間を限定する為の各傾向値時系列(b〜b b t + 1) a step of selecting primary in the context of the normalized value (B t-1 ~B t + 1), c) the market value concerning the detection stocks extreme increase up to the same immediately before • each trend value time series for limiting the falling period (b~b
    5)・各同基準化値(B〜B5)及び各基準化値上下区分(F〜F5)を算出、期間別(OP$=X1U〜X4 5) the same scaled value (B~B5) and calculates, by period each scaled value vertical partition (F~F5) (OP $ = X1U~X4
    U、X1L〜X4L、T1U〜T4U、T1L〜T4 U, X1L~X4L, T1U~T4U, T1L~T4
    L)種別化後、記憶装置内の各ファイルに出力する工程と、 ニ)全銘柄に実施後、記憶装置内の各ファイル内に検出銘柄が在る場合銘柄名・検出経過を出力、投資家或いは特定者に配信する工程と、を実行させるためのプログラムを記録した、機械読み取り可能な記録媒体。 L) After classification of the output and outputting each file in the storage device, after performing the two) all issues, the stock name and detecting elapsed when the detected stocks in each file in the storage device is present, investors or the step of delivering to a particular person, a program for executing the recording, a machine-readable recording medium.
JP31960598A 1997-11-10 1998-11-10 Detecting device for brand whose current price reaches extremal value of brand and its using method Pending JPH11224295A (en)

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US09/228,896 US6289321B1 (en) 1998-11-10 1999-01-11 Device to detect stock names having the highest current value and its methods for use

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001037157A1 (en) * 1999-11-17 2001-05-25 Ken Millennium, Inc. Security exchange assisting system and security exchange assisting method, and computer-readable recorded medium where program is recorded
US7194434B2 (en) * 2000-06-15 2007-03-20 Sergio Piccioli Method for predictive determination of financial investment performance
US7664695B2 (en) 2001-07-24 2010-02-16 Stephen Cutler Securities market and market maker activity tracking system and method
US7827091B2 (en) 2004-02-20 2010-11-02 Stephen Cutler Securities market and market maker activity tracking system and method
US7941357B2 (en) 2000-10-27 2011-05-10 Markets-Alert Pty Ltd Trading system

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001037157A1 (en) * 1999-11-17 2001-05-25 Ken Millennium, Inc. Security exchange assisting system and security exchange assisting method, and computer-readable recorded medium where program is recorded
US7194434B2 (en) * 2000-06-15 2007-03-20 Sergio Piccioli Method for predictive determination of financial investment performance
US7941357B2 (en) 2000-10-27 2011-05-10 Markets-Alert Pty Ltd Trading system
US7664695B2 (en) 2001-07-24 2010-02-16 Stephen Cutler Securities market and market maker activity tracking system and method
US7680721B2 (en) 2001-07-24 2010-03-16 Stephen Cutler Securities market and market marker activity tracking system and method
US7827091B2 (en) 2004-02-20 2010-11-02 Stephen Cutler Securities market and market maker activity tracking system and method
US8055574B2 (en) 2004-02-20 2011-11-08 Stephen Cutler Securities market and market maker activity tracking system and method

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