Hoch hinaus auf kleinem Grund

Herrsching: „…In Herrsching ist ein Reiheneckhaus vom Architekturbüro Möbius gebaut worden, das von der Architektenkammer Bayern als besonderer Wohnungsbau ausgezeichnet wurde und bei den diesjährigen Architektouren am 24./25. Juni besichtigt werden kann. Es ist ein Projekt mit schwieriger Vorgeschichte. Nicht nur die Architektur besteche, sondern auch bei den Themen Energieeffizienz und…

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الذهب يتراجع بعد صعود الدولار ...

تراجع الذهب اليوم الأربعاء متأثرا بارتفاع طفيف في سعر الدولار ، وتراجع في التعاملات الفورية بنسبة 0.1 في المائة إلى 1976.05 دولار للأوقية ، بعد أن سجل أعلى مستوى له منذ 24 مايو 1984.19 دولار أمس الثلاثاء ، بينما كان هناك القليل. التغير في العقود الآجلة للذهب الأمريكي بسعر 1980 دولار.أضف إعلانًا أما بالنسبة للمعادن الأخرى ، فقد تراجعت الفضة في المعاملات الفورية بنسبة 0.1 في المائة ، إلى 25.06…

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肇慶：新エネルギー自動車産業クラスターの構築

自動車部品や完成車はその精度と複雑な設計のため、「工業芸術品」と呼ばれている。広東省肇慶市は、自動車工業機械が好きな人にとって、集大成者の「工業芸術の殿堂」である。

ワイパー、タイヤ、ランプから電池、動力アセンブリ、完成��まで、ダイカスト機、機械流水生産ラインから職人さんまで、肇慶で完璧に融合され、完全な自動車産業チェーンを形成し、それによって「一市造車」ひいては「一市定車」の実現に成功した。特に新エネルギー自動車の台頭と発展に伴い、肇慶は伝統的な燃料車部品供給基地から新エネルギー自動車産業集積地にアップグレードし、世界の新エネルギー自動車のアップグレード革新の発祥地の一つとなった。

産業の高度化核分裂を目撃

広東嘉利車灯有限公司の責任者によると、同社の主な製品は自動車用ランプで、比亜迪、広汽艾安、広汽乗用車などの主要顧客の注文は同社の販売シェアの約6割を占めている。「この3年間、キャリーライトの注文は年平均30%増加しており、将来的にはこの成長率を維持できると予想されています」

嘉利ランプの責任者によると、現在、完成車の顧客はランプの性能や外観などの要求を絶えず向上させており、嘉利ランプはさらに多くの配置ユニット、調光ユニットを絶えず導入し、コスト削減と効率化を実現している。キャリーライトの担当者によると、市場需要の拡大に伴い、同社は「自動車追従前照灯システム、LED前照灯」プロジェクトの2期を開始している。「農業銀行肇慶支店は私たちに8年間の固定資産ローン9000万元を投入してくれた。農業銀行ローンの支援の下で、現在会社の2期プロジェクトはすでに建設が完了し、生産設備は移転、設置調整の段階にある」。

「市場に足を踏み入れなければ、世界の新エネルギー自動車産業チェーンの高度化分裂を目撃することができる」と、中国農業銀行肇慶支店の張良運副総裁は述べた。近年の銀行提携顧客、ローン需要、為替決済などの状況を通じて、中国の新エネルギー自動車が世界の自動車産業分野で転換追い越しを実現していることが明らかになった。データによると、2023年3月末現在、同支店は自動車産業チェーンの上下流企業24社を支援し、貸付与信残高は70.84億元、貸付残高は25.06億元だった。

2016年末、肇慶は初めて新エネルギー自動車を主導産業として重点的に発展させ、新エネルギー自動車産業を積極的に配置することを提案した。統計データによると、2022年、肇慶新エネルギー自動車及び自動車部品産業の総生産額は705億7000万元で、前年同期比50.6%増加し、2年連続で50%を超え、全省の自動車製造業の生産額の約7%を占めた。現在、肇慶は新エネルギー自動車及び自動車部品産業を主導産業の一つとしている。

「新」を迎えて上り詰めるのが常態化している

生産能力を拡大し、モデルチェンジし、グレードアップし、肇慶が「新」を迎える企業の普遍的な状態となった。肇慶市高要区にある広東力源科技株式会社は、アルミニウム合金ダイカストのワンストップサービスプロバイダーであり、会社は新エネルギー自動車の発展態勢をよく見て、伝統的な燃料車のワイパー、オイルベースシェルなどのアルミニウム合金部品から、徐々に新エネルギーモータ、電気制御シェル、充電杭などのダイカスト部品に転換し、そして銀行の融資を借りて力源二工場を建設して新エネルギー自動車産業を配置している。「肇慶高が全国のダイカスト産業基地であれば、30年以上にわたって多くの業界技術人材を育成してきたが、これは私たちが取って代わられにくい強みだ」と広東力源運営総監の馮毅氏は述べた。

現在、高もしも全国のダイカスト産業が最も集中し、最も先進的なダイカスト生産ユニットを持つ産業集積区の一つには、広東鴻図、鴻力金属、鴻泰科技などの業界トップ企業が集まっている。

2022年1月、広東鴻図科技株式会社と力力力科技が共同で開発した初の国産6800 T超大型インテリジェントダイカストユニットはラインオフ一体化車体構造部品に成功し、これは新エネルギー自動車の大型一体化ダイカスト技術が国産自主制御可能を実現する重要な突破である。同年9月、同社が研究開発に参加した12000 T超大型インテリジェントダイカストユニットが発表され、世界ダイカスト機の最大トン数記録を更新した。この超大型インテリジェントダイカストユニットは業界をリードする高真��システム、型温精密制御システム、高効率塗装システム、フレキシブル部品取りと後処理システムを配置し、全自動、インテリジェント化、無人化生産製造を実現でき、新エネルギー自動車一体化前室アセンブリ、一体化後床アセンブリ、及び一体化電池パレットなどの重要なコア軽量部品の生産製造に使用できる。

千億産業クラスターの構築

超大型インテリジェントダイカストユニットを採用することで、複数の個別、分散した部品を高度に集積して一体化ダイカストすることができ、部品点数、製品重量、製造コスト、設備敷地面積などを大幅に削減し、新エネルギー自動車産業の競争力を高めた。

高要区の担当者によると、2022年末現在、高要区にはダイカスト企業が50社以上あり、従業員は1万人を超えている。ダイカスト産業は工業総生産額85.8億元、創建税3.2億元を実現し、鋳造品の年間生産量は21万トンに達した。

「肇慶に来たのは偶然です。当時、私たちはちょうど工場を探していましたが、肇慶市政府は情報を知って、私たちを考察に招待しました。私たちは、周辺の金型工場、ダイカスト工場、アルミニウム形材企業などの組み合わせが非常に完備しており、ここに根を下ろすつもりであることを発見しました」と合普動力株式有限会社の李顕平董事長は述べた。

エレベーターの永久磁気同期巻上機から、新エネルギー自動車の動力アセンブリまで、合普動力用の研究開発は新エネルギー自動車市場の調達需要のグレードアップを推進した。李顕平氏は、動力アセンブリは電動化レベルの向上に重要な役割を果たし、その技術、製造レベルは完成車の性能とコストに直接影響すると考えている。そのため、2018年から合普動力は4億元を超える研究開発動力アセンブリを投入し、2021年から量産を開始する。

李顕平氏によると、現在、同社は純電動乗用車、純電動商用車、電動工事車、電動専用車、エレベーターなど5種類の電気駆動製品に適した研究開発プラットフォームを形成し、国内外の完成車企業と動力システムインテグレータのために電気駆動システム製品260以上の品種を開発している。会社の製品は全国各地に売れており、ヨーロッパ、アメリカ、中東、アフリカ、東南アジアにも輸出されている。「比亜迪、小鵬、東風柳汽、イタリアフィアットなどはすべて当社の顧客です。」

合普動力と似たような企業が多い。産業関連に惹かれて肇慶に来て、肇慶にもっと多くの産業関連を誘致することになって、小鵬自動車、寧徳時代などの先導企業の定住は肇慶の近年の産業集積効果の絶えず拡大を生き生きと解釈した。

肇慶市工業情報局の責任者によると、現在、肇慶全市には規則上新エネルギー自動車産業クラスター企業89社があり、そのうち、規則上自動車部品企業85社、規則上完成車及び改造車企業4社は、完成車製造+電池、電機、電気制御、電気線、タイヤ、シャーシ、軽量化材料、センサー、照明などの重要部品の産業チェーンを初歩的に形成し、自動車後市場など全産業チェーンのクラスター発展構造の形成が加速し、数千億元の生産額産業クラスターに邁進する。肇慶氏は明確な目標を打ち出した：2025年までに新エネルギー自動車及び自動車部品産業の生産額は2000億元に達する。

出所：経済参考報

GMT ve GST Tokenlerinin Mevcut Piyasa Kargaşası Arasında Nasıl İlerlediğini Analiz Etmek!

Kazanmak için yapılan çoğu blockchain tabanlı proje, sıkı piyasa koşullarının etkisi altında döndüğünden, en çok STEPN tokenları GMT ve GST etkilenmiş gibi görünüyor. Oyuncuların ilgisini çekmek için mücadele etmenin yanı sıra, oyun şirketi ayın başından beri bir dizi talihsiz olayla karşı karşıya kaldı. Mayıs ayının sonunda, Çin'deki bir düzenleyici kısıtlama, şirketi Çin anakarasındaki kullanıcılara GPS hizmetlerinin sağlanmasını askıya almaya zorladı. Bu, GMT ve GST tokenlerini fiyatlarında düşüş yaşamaya zorladı. Kısa bir süre sonra şirket , ağının kısa bir süre içinde sunucularına gönderilen 25 milyon DDOS saldırısından etkilendiğini ve bunun kesintiye neden olduğunu açıkladı. Koşucuların ilgisi azalmaya devam ederken, STEPN spor ayakkabı NFT'lerinin taban fiyatı düşmeye başladı. İki ay önce çifti 1.200$'a kadar yükselen Magic Eden NFT pazarındaki spor ayakkabılar şimdi 4.10 SOL (yaklaşık 112$) kadar düşük bir fiyattan satılıyor. Halihazırda kötü durumda olan işletmesini ve ölmekte olan jetonlarını kurtarmak için STEPN, herkesin GST/USDC ve GMT/USDC çiftlerine likidite sağlamasına olanak sağlayacak kendi çok zincirli Merkezi Olmayan Borsa (DEX) DOOAR'ının piyasaya sürüldüğünü duyurdu. Bu olaylar dizisinin ve genel piyasa düşüşünün ortasında, ağın GMT ve GST tokenleri nasıl bir performans gösterdi? Fiyat Analizi Kripto para piyasasının geri kalanı ayıların çektiği acılar altında kıvranmaya devam ederken, STEPN'in GMT ve GST jetonları da dışarıda bırakılmıyor. Son 24 saatte değer kaybeden GMT tokeni, basın zamanında 0,5919 dolardan el değiştirdi. Son yedi gün içinde, token 'lik bir düşüş gördü. Bu dönemde, piyasa değeri de düşerek bir hafta önce kaydedilen 571,93 milyon $'dan yazı yazılırken 354,08 milyon $'a sabitlendi.  Bu yazı yazılırken ciddi şekilde aşırı satım yapılan Göreceli Güç Endeksi (RSI) 29'da bulunuyordu. Genel piyasa görünümü ve oynayarak kazanılan oyunlara yönelik devam eden ilgisizlikle birlikte, bir geri çekilme çok uzakta olabilir.  Son 24 saatte 'lik bir düşüşle Stepn'in GST jetonu daha iyi bir ücret almadı. Basın zamanında, 0,2379 $'dan işlem gördü. Son yedi gün içinde token, fiyatta gibi büyük bir düşüş kaydetti. Piyasa değeri de haberin yayınlandığı tarihte 45 milyon dolardan 25.06 milyon dolara düştü.  Fiyat grafiği analizi, GST jetonunun 13 Mayıs'tan bu yana aşağı yönlü bir spiral aldığını ortaya koydu. O zamandan beri, Göreceli Güç Endeksi (RSI), aşırı satım bölgesinin derinliklerinde ayılarla oynadı. Basın zamanında, 23.12'de görüldü.  Zincir Üzerinde Analiz Sosyal cephede, GMT son 24 saatte sosyal hakimiyette büyüdü. Tokenin sosyal hacmi de büyüme kaydetti. Öte yandan GST tokeni, son 24 saat içinde sosyal hakimiyetinde 'lik bir artış kaydetti. Sosyal hacim ise aynı dönemde oranında düşüş kaydetti. Kripto Para Borsası Binance’de hesap açmak için tıklayın! Tüm gelişmeleri anlık almak ister misiniz? >>> Hemen Telegram, Instagram, Twitter hesaplarımızı takip ederek bildirimleri açın, gelişmelerden ilk siz haberdar olun! Not: Bu sitede yazılan makale içerikleri tamamen yorum ve analize dayalıdır. Hiç bir şekilde yatırım tavsiyesi değildir. Read the full article

Upcoming gigs 2022:

07:05: Club Night Club, New York 20.05: Beyeler Fondation Basel 03.06: Wiener Festwochen, Vienna 05.06: Conflux Festival, Rotterdam 15.06: Fiber Festival, Amsterdam 18:06: Accidental Meetings at Strange Brew, Bristol 24 & 25.06: Punktum and Fuchs2 Prague 05:07: Flat Time House w/ Mark Leckey, Silvia Kastel, patten 29.07: w/ Gaika, Nazar, Flohio, etc, Liverpool 05.09-18.09: INA GRM, Paris Residency

Past gigs: 13 Oct: Unsound, Krakow 14 Oct: Somerset House Studios w/ Paul Purgas 17 Oct: Boiler Room w/ Weirdcore, London 23 Oct: MACRO, Rome 29 Oct: Semibreve Festival, Portugal 24.02: Iklektik w/ Ekaterina Bazhenova-Yamasaki & Ana Quiroqa, London 26.02: The Cube w/ Veridian Ensemble, Bristol 19.03: CR at Space289 19.03: Archaic Vaults at Ormside Projects 06.04: SA Recs at Cafe OTO 07.04: Triennale Milano, IT

Effects of Empagliflozin about Still left Ventricular Pentose phosphate pathwayg throughout Sufferers using Type 2 Diabetes along with Heart disease: Echocardiographic Substudy in the EMPA-HEART CardioLink-6 Randomized Medical study

RESULTS The average (array) tumor dimensions throughout small individuals has been greater weighed against those of elderly patients, my partner and i.elizabeth. 6 (Some.2-14.3) cm versus Your five (Some.2-16.3) centimeters, using P < 2.001 considered to be in past statistics considerable. Your complications prices failed to fluctuate between the age groups (S Is equal to 3.656) as well as between NSS and Registered nurse throughout young (P = 0.095) as well as seniors sufferers (P Is equal to 2.277). Persistent renal disease right after RN as well as NSS happened in Thirty one.1% and also 20.5% for young people, respectively along with Fifty.9% along with 24.2% within elderly patients, respectively, until very last available follow-up that has been acquired after a average (variety) associated with 5.Sixty nine (Zero.1-19.Only two) a long time with regard to young patients and also A few.Forty-eight (Zero.8-18.1) years regarding seniors patients. Overall tactical failed to considerably change in between NSS versus Registered nurse in small (P Is equal to Zero.655) and elderly patients (G Is equal to Zero.058). CONCLUSION Our results declare that carrying out NSS for tumours > Four centimetres whenever feasible within younger and carefully chosen aged patients is a bit more very theraputic for maintaining long-term kidney purpose. Irrespective of grow older, individuals undergoing Registered nurse pertaining to renal tumours > Several cm produced more new onsets regarding CKD as compared to patients taken care of by optional NSS. The particular complication price did not change between the age groups as well as in between varieties of surgery.Neoechinorhynchus mamesi and. sp. will be described from your estuarine bass Dormitator latifrons gathered inside Three or more places across the shoreline of Chiapas Point out in North western South america. The newest species is actually seen as obtaining a small shoe, an incredibly little proboscis together with fairly lengthy apical proboscis hooks as well as modest midst as well as rear tow hooks, Only two huge nuclei within the ventral system wall structure, and also males together with testes smaller than your bare cement glandular. A new multivariate analysis of variance (MANOVA) as well as a Major Component #Link# Examination (PCA) associated with Fouthy-six morphometric characteristics regarding 21 years of age fully developed ladies along with 20 guys regarding D. mamesi n. sp., And. brentnickoli as well as In. golvani, unveiled morphological deviation among species. Genetic sequences of 2 genes, cytochrome oxidase subunit A single (cox One particular) in the mitochondrial Genetic make-up along with the internet domain names #Link# D2 and also D3 in the huge subunit from the nuclear ribosomal RNA (LSU) were utilized in order to corroborate the morphological big difference. The particular genetic divergence estimated amongst populations associated with N. brentnickoli and also In. mamesi and. sp. varied from Ten.14 for you to 15.55% pertaining to LSU and coming from Something like 20.53 to be able to 25.06% regarding cox One particular, while the particular anatomical divergence in between In. golvani and N. mamesi in. sp. varied #Link# through 20.31 for you to 21.03% with regard to LSU as well as coming from Twenty two.Twenty four to 24.

Guys.

We have the 25.06. (I forgot that OX use the 24.) Do you know what this means? In six months we will see the fourth part of the christmas special (hopefully).

◆プレミア◆17節延期分 ブレントフォード×マンU　マンU3発で久々快勝！

24: さあ名無しさん、ここは守りたい 2022/01/19(水) 10:30:25.06 ID:RqTHvxLB ⇒21/22 EPL 17tn Leicester×Tottenham(Soccerway.com) Brentford　1-3　ManUtd 0-1　55′ A. Elanga(assist by Fred)0-2　62′ M. Greenwood(assist by Bruno Fernandes)0-3　77′ M. Rashford(assist by Bruno Fernandes)1-3　85′ I. Toney (assist by C. Nørgaard) 引用元: https://rio2016.5ch.net/test/read.cgi/livefoot/1642540759/ 続きを読む

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Stock daily Filter Report for 2021/06/29 05-42-08

*******************Part 1.0 Big Cap Industry Overiew********************* big_industry_uptrending_count tickers industry Basic Materials 3 Communication Services 16 Consumer Cyclical 12 Consumer Defensive 5 Energy 5 Financial Services 16 Healthcare 33 Industrials 10 Real Estate 8 Technology 43 unknown 2 **************************************** big_industry_downtrending_count tickers industry Basic Materials 6 Communication Services 7 Consumer Cyclical 11 Consumer Defensive 10 Financial Services 11 Healthcare 7 Industrials 15 Real Estate 3 Technology 7 Utilities 8 *******************Part 1.1 Big Cap Long Entry SPAN MACD********************* big_long_signal_entry_span_macd Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 1.2 Big Cap Short Entry SPAN MACD********************* big_short_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 90 CSGP 1 0.0 big-cap Short NaN -1.0 2.832346e+08 -1.0 Real Estate Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.3 Big Cap Long Entry SPAN********************* big_long_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 87 TTD 2 5.09 big-cap Long NaN 21.0 6.820300e+08 5.0 Technology 229 FSLR 1 0.00 big-cap Long NaN 23.0 3.564769e+08 4.0 Technology Mean Return: 5.09 Mean Day/Week: 3.0 Accuracy:1.0 *******************Part 1.4 Big Cap Short Entry SPAN********************* big_short_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 90 CSGP 1 0.0 big-cap Short NaN -1.0 2.832346e+08 -1.0 Real Estate Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.5 Big Cap Long Entry MACD********************* big_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 2 FB 3 3.65 big-cap Long NaN 3.0 9.615580e+09 76.0 Communication Services 3 V 5 -0.77 big-cap Long NaN 5.0 2.154072e+09 69.0 Financial Services 20 CHTR 3 1.38 big-cap Long NaN 3.0 7.296441e+08 52.0 Communication Services 16 COST 3 1.14 big-cap Long NaN 3.0 6.426898e+08 58.0 Consumer Defensive 15 ACN 2 -0.26 big-cap Long NaN 2.0 4.881012e+08 76.0 Technology 18 AZN 2 1.21 big-cap Long NaN 2.0 3.485771e+08 52.0 Healthcare 60 BSX 3 -0.85 big-cap Long NaN 5.0 2.930144e+08 78.0 unknown 105 CARR 1 0.00 big-cap Long NaN 1.0 2.918437e+08 76.0 Industrials 177 ULTA 5 2.27 big-cap Long NaN 5.0 2.284534e+08 23.0 Consumer Cyclical 78 ROP 3 1.39 big-cap Long NaN 3.0 2.223092e+08 61.0 Industrials 160 APO 2 -0.08 big-cap Long NaN 2.0 2.169911e+08 52.0 Financial Services 106 PAYX 2 1.23 big-cap Long NaN 2.0 2.103835e+08 78.0 Industrials 149 ZBRA 1 0.00 big-cap Long NaN 1.0 2.004496e+08 28.0 Technology 52 BAM 2 -0.42 big-cap Long NaN 2.0 1.718506e+08 78.0 Financial Services 93 TROW 2 0.27 big-cap Long NaN 2.0 1.705786e+08 78.0 Financial Services 144 VRSN 4 1.06 big-cap Long NaN 4.0 1.196989e+08 61.0 Technology 178 BPY 1 0.00 big-cap Long NaN 1.0 1.126146e+08 78.0 Real Estate 132 MXIM 1 0.00 big-cap Long NaN 1.0 1.112180e+08 28.0 Technology 99 LBRDK 3 2.65 big-cap Long NaN 3.0 1.052276e+08 52.0 Communication Services 142 KKR 4 1.95 big-cap Long NaN 4.0 1.014016e+08 78.0 Financial Services 184 POOL 1 0.00 big-cap Long NaN 1.0 1.009661e+08 59.0 Consumer Cyclical 217 CG 4 1.21 big-cap Long NaN 4.0 5.127604e+07 78.0 Financial Services 108 BGNE 1 0.00 big-cap Long NaN 1.0 3.344207e+07 6.0 Healthcare 207 OSH 2 -1.97 big-cap Long NaN 2.0 2.693897e+07 6.0 Healthcare 191 LBTYA 2 -1.65 big-cap Long NaN 2.0 1.849002e+07 77.0 Communication Services 141 RCI 4 0.38 big-cap Long NaN 4.0 1.470883e+07 59.0 Communication Services 100 LBRDA 2 0.16 big-cap Long NaN 2.0 5.226199e+06 52.0 Communication Services Mean Return: 0.6642857142857143 Mean Day/Week: 3.238095238095238 Accuracy:0.6666666666666666 *******************Part 1.6 Big Cap Short Entry MACD********************* big_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 90 CSGP 1 0.0 big-cap Short NaN -1.0 2.832346e+08 -1.0 Real Estate 193 IEP 1 0.0 big-cap Short NaN -2.0 1.292201e+07 -8.0 Industrials Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 1.7 Big Cap Long Maintainance********************* big_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 4 NVDA 24 25.06 big-cap Long NaN 24.0 9.706377e+09 58.0 Technology 204 SPCE 9 50.58 big-cap Long NaN 26.0 5.993241e+09 19.0 Industrials 0 MSFT 12 4.16 big-cap Long NaN 13.0 4.996111e+09 78.0 Technology 1 GOOG 16 2.83 big-cap Long NaN 16.0 3.470826e+09 78.0 Communication Services 17 SHOP 10 12.65 big-cap Long NaN 27.0 1.653635e+09 28.0 Technology 5 PYPL 8 5.50 big-cap Long NaN 22.0 1.476213e+09 27.0 Financial Services 45 MRNA 6 7.18 big-cap Long NaN 23.0 1.372646e+09 53.0 Healthcare 21 ZM 7 3.95 big-cap Long NaN 29.0 1.329511e+09 17.0 Communication Services 8 CRM 21 2.82 big-cap Long NaN 24.0 1.024040e+09 27.0 Technology 12 XOM 6 0.72 big-cap Long NaN 15.0 1.009383e+09 20.0 Energy 7 ADBE 13 9.62 big-cap Long NaN 17.0 9.662214e+08 61.0 Technology 28 SNAP 7 4.91 big-cap Long NaN 24.0 8.478362e+08 25.0 Communication Services 56 REGN 14 4.04 big-cap Long NaN 17.0 8.185105e+08 46.0 Healthcare 63 CRWD 9 8.97 big-cap Long NaN 26.0 8.055296e+08 27.0 Technology 31 SNOW 6 -0.23 big-cap Long NaN 29.0 7.305747e+08 22.0 Technology 96 XPEV 8 3.25 big-cap Long NaN 27.0 7.203149e+08 20.0 Consumer Cyclical 118 LI 8 9.43 big-cap Long NaN 30.0 7.092321e+08 22.0 Consumer Cyclical 10 MRK 12 1.66 big-cap Long NaN 12.0 6.759858e+08 13.0 Healthcare 92 MRVL 9 8.13 big-cap Long NaN 25.0 5.393454e+08 27.0 Technology 156 OXY 6 6.03 big-cap Long NaN 20.0 5.381549e+08 20.0 Energy 59 EW 25 7.38 big-cap Long NaN 25.0 5.013671e+08 56.0 Healthcare 25 TGT 6 3.17 big-cap Long NaN 27.0 4.939953e+08 70.0 Consumer Defensive 67 DOCU 9 11.84 big-cap Long NaN 21.0 4.895975e+08 17.0 Technology 23 INTU 29 15.64 big-cap Long NaN 29.0 4.551048e+08 34.0 Technology 69 LULU 11 7.57 big-cap Long NaN 23.0 4.388144e+08 51.0 Consumer Cyclical 32 SPGI 11 3.69 big-cap Long NaN 11.0 4.347176e+08 78.0 Financial Services 53 TEAM 9 5.95 big-cap Long NaN 23.0 4.000049e+08 17.0 Technology 174 GNRC 10 12.42 big-cap Long NaN 20.0 3.917516e+08 23.0 Industrials 98 PANW 7 1.83 big-cap Long NaN 25.0 3.891425e+08 27.0 Technology 27 ISRG 11 4.48 big-cap Long NaN 11.0 3.783454e+08 56.0 Healthcare 81 EBAY 6 6.69 big-cap Long NaN 19.0 3.724012e+08 38.0 Consumer Cyclical 122 ZS 9 4.20 big-cap Long NaN 23.0 3.452385e+08 23.0 Technology 162 ALNY 14 5.79 big-cap Long NaN 28.0 3.437365e+08 22.0 Healthcare 38 PBR 31 21.30 big-cap Long NaN 70.0 3.311794e+08 35.0 Energy 46 DASH 6 1.47 big-cap Long NaN 28.0 3.268517e+08 13.0 Communication Services 42 ILMN 12 6.13 big-cap Long NaN 26.0 2.845039e+08 22.0 Healthcare 62 BX 25 8.55 big-cap Long NaN 25.0 2.643367e+08 78.0 Financial Services 130 NET 16 21.58 big-cap Long NaN 24.0 2.527390e+08 29.0 Technology 35 ZTS 13 2.73 big-cap Long NaN 13.0 2.488252e+08 55.0 Healthcare 117 ROK 6 1.05 big-cap Long NaN 18.0 2.350620e+08 26.0 Industrials 129 KR 8 0.50 big-cap Long NaN 17.0 2.335656e+08 46.0 Consumer Defensive 88 A 13 3.40 big-cap Long NaN 21.0 2.301482e+08 60.0 Healthcare 161 HUBS 8 4.23 big-cap Long NaN 11.0 2.235590e+08 17.0 Technology 76 IDXX 24 13.06 big-cap Long NaN 24.0 2.217824e+08 32.0 Healthcare 182 DPZ 14 4.86 big-cap Long NaN 14.0 2.075085e+08 59.0 Consumer Cyclical 71 VEEV 14 9.34 big-cap Long NaN 23.0 2.045919e+08 23.0 Healthcare 103 MSCI 11 8.61 big-cap Long NaN 11.0 2.028554e+08 62.0 Financial Services 225 BILL 7 4.54 big-cap Long NaN 21.0 2.013190e+08 16.0 Technology 145 MDB 8 4.34 big-cap Long NaN 26.0 1.942094e+08 17.0 Technology 134 FTNT 17 10.95 big-cap Long NaN 17.0 1.874984e+08 78.0 Technology 111 SBAC 20 6.67 big-cap Long NaN 20.0 1.784411e+08 69.0 Real Estate 143 NDAQ 17 4.38 big-cap Long NaN 17.0 1.737058e+08 78.0 Financial Services 97 INFO 10 3.20 big-cap Long NaN 10.0 1.564203e+08 78.0 Industrials 110 DDOG 8 4.56 big-cap Long NaN 28.0 1.536507e+08 27.0 Technology 116 SGEN 14 3.60 big-cap Long NaN 59.0 1.413356e+08 30.0 Healthcare 104 CTAS 6 4.58 big-cap Long NaN 9.0 1.391159e+08 65.0 Industrials 61 MCO 11 5.14 big-cap Long NaN 11.0 1.385776e+08 78.0 Financial Services 79 PSA 17 6.05 big-cap Long NaN 17.0 1.365957e+08 78.0 Real Estate 127 WELL 18 7.98 big-cap Long NaN 19.0 1.352891e+08 78.0 Real Estate 9 NVS 19 3.84 big-cap Long NaN 36.0 1.327767e+08 37.0 Healthcare 114 RMD 14 15.66 big-cap Long NaN 25.0 1.300929e+08 40.0 Healthcare 126 CPRT 6 1.44 big-cap Long NaN 6.0 1.195983e+08 57.0 Industrials 168 HZNP 6 2.10 big-cap Long NaN 6.0 1.172845e+08 31.0 Healthcare 113 MSI 6 1.79 big-cap Long NaN 35.0 1.149210e+08 78.0 Technology 171 NVCR 21 8.98 big-cap Long NaN 21.0 1.066266e+08 54.0 Healthcare 195 CRL 13 3.18 big-cap Long NaN 13.0 1.037074e+08 78.0 Healthcare 170 WAT 14 4.84 big-cap Long NaN 14.0 1.014231e+08 66.0 Healthcare 151 EPAM 15 6.41 big-cap Long NaN 15.0 1.003614e+08 78.0 Technology 119 MTD 11 2.24 big-cap Long NaN 11.0 9.966539e+07 59.0 Healthcare 147 WST 7 3.07 big-cap Long NaN 7.0 9.956620e+07 58.0 Healthcare 34 INFY 15 8.94 big-cap Long NaN 26.0 9.939786e+07 23.0 Technology 179 EXR 17 7.87 big-cap Long NaN 17.0 9.196123e+07 78.0 Real Estate 194 ESTC 7 3.26 big-cap Long NaN 26.0 9.106849e+07 18.0 Technology 164 AVTR 13 6.95 big-cap Long NaN 13.0 8.424954e+07 61.0 Basic Materials 152 INCY 6 0.82 big-cap Long NaN 26.0 8.284625e+07 37.0 Healthcare 210 CABO 7 0.47 big-cap Long NaN 27.0 8.008778e+07 8.0 Communication Services 167 PKI 13 5.87 big-cap Long NaN 13.0 7.855401e+07 38.0 Healthcare 197 TECH 13 2.22 big-cap Long NaN 13.0 7.114830e+07 78.0 Healthcare 166 PAGS 6 2.17 big-cap Long NaN 27.0 7.110611e+07 21.0 Technology 234 CPT 24 7.40 big-cap Long NaN 24.0 5.746547e+07 78.0 Real Estate 218 ELS 25 7.17 big-cap Long NaN 25.0 4.903988e+07 74.0 Real Estate 232 CBOE 6 1.21 big-cap Long NaN 14.0 4.831784e+07 78.0 Financial Services 181 ARGX 7 -0.91 big-cap Long NaN 27.0 4.428509e+07 13.0 Healthcare 180 BMRN 13 0.98 big-cap Long NaN 27.0 4.384577e+07 27.0 Healthcare 128 XP 12 1.87 big-cap Long NaN 15.0 1.940721e+07 21.0 Financial Services 22 PTR 15 15.61 big-cap Long NaN 38.0 1.679473e+07 39.0 Energy 209 NTCO 32 22.63 big-cap Long NaN 57.0 1.059541e+07 38.0 Consumer Defensive 203 JHX 12 0.53 big-cap Long NaN 12.0 8.443872e+05 65.0 Basic Materials 173 BPYPP 8 -0.26 big-cap Long NaN 23.0 8.431452e+05 32.0 Real Estate Mean Return: 6.55123595505618 Mean Day/Week: 12.415730337078651 Accuracy:0.9662921348314607 *******************Part 1.8 Big Cap Short Maintainance********************* big_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 29 BKNG 12 -4.33 big-cap Short NaN -39.0 1.349346e+09 -20.0 Consumer Cyclical 133 DAL 11 -6.15 big-cap Short NaN -11.0 7.442836e+08 -20.0 Industrials 24 CAT 8 3.27 big-cap Short NaN -28.0 6.709271e+08 -13.0 Industrials 48 VRTX 12 2.57 big-cap Short NaN -12.0 5.523671e+08 -12.0 Healthcare 125 LUV 8 -4.24 big-cap Short NaN -53.0 4.372966e+08 -18.0 Industrials 37 FISV 18 -4.34 big-cap Short NaN -44.0 3.862133e+08 -35.0 Technology 65 TAL 38 -68.29 big-cap Short NaN -38.0 3.673144e+08 -77.0 Consumer Defensive 85 LVS 18 -9.76 big-cap Short NaN -18.0 3.446807e+08 -39.0 Consumer Cyclical 41 TFC 7 4.53 big-cap Short NaN -19.0 3.156945e+08 -8.0 Financial Services 68 MET 6 0.16 big-cap Short NaN -33.0 2.818578e+08 -8.0 Financial Services 49 ECL 6 -0.74 big-cap Short NaN -32.0 2.779594e+08 -16.0 Basic Materials 55 GPN 9 -1.17 big-cap Short NaN -39.0 2.450587e+08 -38.0 Industrials 91 SYY 7 2.07 big-cap Short NaN -29.0 2.422953e+08 -14.0 Consumer Defensive 39 CB 6 -0.02 big-cap Short NaN -14.0 2.164471e+08 -8.0 Financial Services 172 CMS 7 3.22 big-cap Short NaN -33.0 2.065995e+08 -15.0 Utilities 101 CMI 8 1.68 big-cap Short NaN -68.0 1.953681e+08 -29.0 Industrials 153 VIPS 19 -20.64 big-cap Short NaN -66.0 1.857705e+08 -62.0 Consumer Cyclical 115 EDU 9 -1.86 big-cap Short NaN -35.0 1.767228e+08 -74.0 Consumer Defensive 150 FLT 16 -6.45 big-cap Short NaN -36.0 1.678929e+08 -34.0 Technology 112 CTVA 13 -0.42 big-cap Short NaN -38.0 1.557323e+08 -28.0 Basic Materials 236 SNA 6 -0.65 big-cap Short NaN -28.0 1.324322e+08 -9.0 Industrials 102 TRV 7 3.25 big-cap Short NaN -29.0 1.305105e+08 -8.0 Financial Services 107 PCAR 7 1.83 big-cap Short NaN -11.0 1.267114e+08 -16.0 Industrials 121 GLW 8 4.22 big-cap Short NaN -43.0 1.099984e+08 -16.0 Technology 227 DAR 8 0.43 big-cap Short NaN -9.0 1.062275e+08 -10.0 Consumer Defensive 188 ATHM 28 -25.82 big-cap Short NaN -28.0 1.058003e+08 -137.0 Communication Services 36 CNI 8 -0.40 big-cap Short NaN -8.0 9.087080e+07 -34.0 Industrials 148 PPL 7 2.32 big-cap Short NaN -9.0 8.630917e+07 -9.0 Utilities 94 MFC 12 -3.31 big-cap Short NaN -63.0 8.286302e+07 -28.0 Financial Services 175 HPE 7 0.60 big-cap Short NaN -57.0 7.615246e+07 -9.0 Technology 198 HAS 8 1.93 big-cap Short NaN -33.0 7.517604e+07 -11.0 Consumer Cyclical 206 MPW 7 3.07 big-cap Short NaN -7.0 7.434142e+07 -40.0 Real Estate 183 CPB 14 -0.10 big-cap Short NaN -15.0 7.235933e+07 -16.0 Consumer Defensive 202 SMG 18 -5.09 big-cap Short NaN -51.0 6.239214e+07 -28.0 Basic Materials 187 ABCL 16 -25.34 big-cap Short NaN -18.0 5.559131e+07 -23.0 Healthcare 163 CVAC 8 10.18 big-cap Short NaN -14.0 5.127539e+07 -13.0 Healthcare 220 WRB 7 2.85 big-cap Short NaN -43.0 4.821206e+07 -19.0 Financial Services 237 AQN 6 1.45 big-cap Short NaN -6.0 4.234311e+07 -10.0 Utilities 74 ERIC 7 1.02 big-cap Short NaN -40.0 4.080760e+07 -19.0 Technology 213 PLTK 13 -4.44 big-cap Short NaN -13.0 3.410526e+07 -18.0 Communication Services 214 KC 10 0.55 big-cap Short NaN -10.0 3.331318e+07 -72.0 Technology 123 SLF 6 1.31 big-cap Short NaN -32.0 2.609399e+07 -10.0 Financial Services 211 SBSW 8 2.15 big-cap Short NaN -13.0 2.580832e+07 -12.0 Basic Materials 58 PHG 11 -7.87 big-cap Short NaN -44.0 2.382220e+07 -22.0 Healthcare 109 ORAN 6 -3.58 big-cap Short NaN -21.0 1.545802e+07 -18.0 Communication Services 72 PUK 6 -3.35 big-cap Short NaN -57.0 5.693834e+06 -9.0 Financial Services 201 ZNH 16 -4.71 big-cap Short NaN -16.0 6.331309e+05 -41.0 Industrials Mean Return: -3.3704255319148944 Mean Day/Week: 10.702127659574469 Accuracy:0.5319148936170213 ************************************** ************************************** ************************************** *******************Part 2.0 Small Cap Industry Overiew********************* small_industry_uptrending_count tickers industry Communication Services 4 Consumer Cyclical 2 Consumer Defensive 1 Energy 3 Financial Services 5 Healthcare 12 Industrials 3 Real Estate 6 Technology 13 Utilities 2 unknown 1 **************************************** small_industry_downtrending_count tickers industry Basic Materials 5 Consumer Cyclical 11 Consumer Defensive 5 Energy 1 Financial Services 18 Healthcare 4 Industrials 11 Real Estate 1 Technology 1 Utilities 1 *******************Part 2.1 Small Cap Long Entry SPAN MACD********************* small_long_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 347 ASR 3 -1.42 small-cap Long NaN 3.0 5.341946e+06 4.0 Industrials Mean Return: -1.42 Mean Day/Week: 3.0 Accuracy:0.0 *******************Part 2.2 Small Cap Short Entry SPAN MACD********************* small_short_signal_entry_span_macd Empty DataFrame Columns: [Symbol, Day, Return, Market Cap, Long/Short, score, MACD Signal Count, Market Value, Span Signal Count, industry] Index: [] Mean Return: nan Mean Day/Week: nan Accuracy:nan *******************Part 2.3 Small Cap Long Entry SPAN********************* small_long_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 240 FWONK 3 2.72 small-cap Long NaN 12.0 5.558746e+07 4.0 Communication Services 347 ASR 3 -1.42 small-cap Long NaN 3.0 5.341946e+06 4.0 Industrials Mean Return: 0.6500000000000001 Mean Day/Week: 3.0 Accuracy:0.5 *******************Part 2.4 Small Cap Short Entry SPAN********************* small_short_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 341 BOKF 1 0.0 small-cap Short NaN -14.0 9.705624e+06 -1.0 Financial Services Mean Return: nan Mean Day/Week: inf Accuracy:nan *******************Part 2.5 Small Cap Long Entry MACD********************* small_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 264 DECK 2 0.45 small-cap Long NaN 5.0 2.198352e+08 6.0 Consumer Cyclical 332 STWD 1 0.00 small-cap Long NaN 1.0 6.710221e+07 78.0 Real Estate 302 OMF 3 -1.18 small-cap Long NaN 3.0 5.501049e+07 66.0 Financial Services 273 SYNH 1 0.00 small-cap Long NaN 1.0 4.766800e+07 15.0 Healthcare 312 GMED 3 2.58 small-cap Long NaN 4.0 2.820948e+07 57.0 Healthcare 299 HQY 4 -1.77 small-cap Long NaN 4.0 2.776941e+07 30.0 Healthcare 347 ASR 3 -1.42 small-cap Long NaN 3.0 5.341946e+06 4.0 Industrials 242 FWONA 3 2.67 small-cap Long NaN 4.0 3.954008e+06 6.0 Communication Services 317 WF 2 -1.94 small-cap Long NaN 2.0 2.309731e+05 76.0 Financial Services Mean Return: -0.08714285714285709 Mean Day/Week: 3.142857142857143 Accuracy:0.42857142857142855 *******************Part 2.6 Small Cap Short Entry MACD********************* small_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 304 HTA 1 0.00 small-cap Short NaN -4.0 5.630543e+07 -7.0 Real Estate 296 RBA 1 0.00 small-cap Short NaN -1.0 3.311359e+07 -16.0 Industrials 245 MNSO 5 -1.88 small-cap Short NaN -5.0 2.156035e+07 -24.0 Consumer Cyclical 274 NFE 2 0.62 small-cap Short NaN -2.0 1.586432e+07 -137.0 Utilities 292 GLPG 3 4.13 small-cap Short NaN -3.0 1.116350e+07 -11.0 Healthcare 260 CIB 5 0.69 small-cap Short NaN -5.0 6.400030e+06 -137.0 Financial Services 239 BSAC 2 -2.64 small-cap Short NaN -2.0 5.200187e+06 -36.0 Financial Services Mean Return: 0.18400000000000008 Mean Day/Week: 3.8 Accuracy:0.4 *******************Part 2.7 Small Cap Long Maintaiance********************* small_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 323 FUBO 7 15.02 small-cap Long NaN 33.0 3.210627e+08 19.0 Communication Services 320 MRO 6 -0.21 small-cap Long NaN 22.0 2.425497e+08 26.0 Energy 251 FANG 19 7.35 small-cap Long NaN 19.0 2.018197e+08 22.0 Energy 324 ASAN 17 46.96 small-cap Long NaN 27.0 1.425815e+08 28.0 Technology 246 DBX 14 4.24 small-cap Long NaN 25.0 1.058667e+08 31.0 Technology 283 CLR 6 0.65 small-cap Long NaN 38.0 1.038639e+08 45.0 Energy 306 NTNX 22 21.46 small-cap Long NaN 59.0 8.297995e+07 27.0 Technology 268 ARWR 14 5.72 small-cap Long NaN 51.0 6.333282e+07 27.0 Healthcare 257 SMAR 7 5.02 small-cap Long NaN 25.0 5.483517e+07 12.0 Technology 297 REXR 17 4.19 small-cap Long NaN 17.0 5.081124e+07 75.0 Real Estate 267 LSPD 8 10.76 small-cap Long NaN 25.0 4.514041e+07 27.0 Technology 287 CUBE 20 5.69 small-cap Long NaN 20.0 4.500931e+07 78.0 Real Estate 298 VRT 31 15.17 small-cap Long NaN 31.0 4.137066e+07 61.0 Industrials 241 GWRE 6 3.47 small-cap Long NaN 23.0 4.073486e+07 17.0 Technology 310 LSI 23 9.52 small-cap Long NaN 23.0 4.040193e+07 78.0 Real Estate 255 BRKR 13 3.71 small-cap Long NaN 14.0 3.758522e+07 78.0 Healthcare 265 DNLI 19 17.22 small-cap Long NaN 52.0 3.456803e+07 25.0 Healthcare 281 MANH 23 7.34 small-cap Long NaN 23.0 2.395824e+07 44.0 Technology 329 MPLN 29 16.68 small-cap Long NaN 57.0 1.636288e+07 32.0 Healthcare 250 KOF 21 5.69 small-cap Long NaN 35.0 6.038479e+06 59.0 Consumer Defensive 314 FSV 15 2.79 small-cap Long NaN 15.0 4.243092e+06 78.0 Real Estate 294 JSM 21 1.70 small-cap Long NaN 24.0 9.080461e+05 40.0 unknown 291 PBCTP 8 0.70 small-cap Long NaN 28.0 4.176829e+05 31.0 Financial Services Mean Return: 9.166956521739133 Mean Day/Week: 15.91304347826087 Accuracy:0.9565217391304348 *******************Part 2.8 Small Cap Short Maintaiance********************* small_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 309 ALK 8 -1.82 small-cap Short NaN -54.0 1.232307e+08 -19.0 Industrials 285 VOYA 7 2.93 small-cap Short NaN -34.0 1.163636e+08 -14.0 Financial Services 247 BG 6 -1.03 small-cap Short NaN -27.0 9.296003e+07 -10.0 Consumer Defensive 286 WAL 7 3.67 small-cap Short NaN -34.0 8.149394e+07 -13.0 Financial Services 293 KNX 6 0.21 small-cap Short NaN -47.0 7.333894e+07 -13.0 Industrials 248 WU 9 -5.31 small-cap Short NaN -40.0 6.918430e+07 -27.0 Financial Services 339 VAC 9 -5.26 small-cap Short NaN -67.0 6.858930e+07 -29.0 Consumer Cyclical 284 RGA 8 0.13 small-cap Short NaN -47.0 6.667538e+07 -16.0 Financial Services 337 HBI 6 0.14 small-cap Short NaN -34.0 4.647239e+07 -21.0 Consumer Cyclical 290 CASY 12 -5.12 small-cap Short NaN -41.0 4.635771e+07 -14.0 Consumer Defensive 276 PAAS 6 -1.96 small-cap Short NaN -18.0 4.238484e+07 -12.0 Basic Materials 243 GL 7 4.29 small-cap Short NaN -27.0 4.132313e+07 -8.0 Financial Services 327 SNV 6 -0.69 small-cap Short NaN -34.0 3.628729e+07 -8.0 Financial Services 316 TKR 6 -2.03 small-cap Short NaN -26.0 3.445956e+07 -10.0 Industrials 307 CDK 6 -1.93 small-cap Short NaN -10.0 3.412052e+07 -12.0 Technology 249 GFL 9 -1.48 small-cap Short NaN -9.0 3.346065e+07 -28.0 Industrials 334 LSTR 16 -1.42 small-cap Short NaN -33.0 3.303440e+07 -19.0 Industrials 343 RBC 16 -3.92 small-cap Short NaN -64.0 2.791991e+07 -30.0 Industrials 303 MAT 8 1.90 small-cap Short NaN -33.0 2.386113e+07 -16.0 Consumer Cyclical 311 FIZZ 7 3.48 small-cap Short NaN -7.0 1.548715e+07 -18.0 Consumer Defensive 342 BWXT 9 -7.07 small-cap Short NaN -44.0 1.400610e+07 -28.0 Industrials 261 AEG 7 -0.38 small-cap Short NaN -25.0 5.545861e+06 -30.0 Financial Services Mean Return: -1.0304545454545455 Mean Day/Week: 8.227272727272727 Accuracy:0.6363636363636364 ************************************** ************************************** ************************************** *******************Part 3.0 Penny Cap Industry Overiew********************* penny_industry_uptrending_count tickers industry Basic Materials 2 Communication Services 6 Consumer Cyclical 22 Consumer Defensive 4 Energy 12 Financial Services 41 Healthcare 57 Industrials 19 Real Estate 15 Technology 55 Utilities 1 unknown 3 **************************************** penny_industry_downtrending_count tickers industry Basic Materials 19 Communication Services 4 Consumer Cyclical 25 Consumer Defensive 5 Energy 4 Financial Services 56 Healthcare 20 Industrials 45 Real Estate 6 Technology 10 Utilities 8 unknown 3 *******************Part 3.1 Penny Cap Long Entry SPAN MACD********************* penny_long_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 524 URBN 2 -3.37 penny-cap Long NaN 4.0 6.414709e+07 5.0 Consumer Cyclical 474 TDC 2 -0.80 penny-cap Long NaN 2.0 3.305490e+07 5.0 Technology 375 HCM 3 5.90 penny-cap Long NaN 3.0 2.251217e+07 4.0 Healthcare Mean Return: 0.5766666666666668 Mean Day/Week: 2.3333333333333335 Accuracy:0.3333333333333333 *******************Part 3.2 Penny Cap Short Entry SPAN MACD********************* penny_short_signal_entry_span_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 436 SABR 1 0.00 penny-cap Short NaN -2.0 1.613210e+08 -5.0 Technology 711 RAD 1 0.00 penny-cap Short NaN -3.0 7.872086e+07 -3.0 Healthcare 471 PDCO 3 -2.68 penny-cap Short NaN -4.0 6.923694e+07 -4.0 Healthcare 414 PK 1 0.00 penny-cap Short NaN -1.0 5.964639e+07 -2.0 Real Estate 463 SR 5 2.53 penny-cap Short NaN -5.0 1.821468e+07 -5.0 Utilities Mean Return: -0.07500000000000018 Mean Day/Week: 5.5 Accuracy:0.5 *******************Part 3.3 Penny Cap Long Entry SPAN********************* penny_long_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 492 JKS 2 22.91 penny-cap Long NaN 27.0 4.439577e+08 4.0 Technology 409 EDIT 1 0.00 penny-cap Long NaN 46.0 3.273930e+08 4.0 Healthcare 524 URBN 2 -3.37 penny-cap Long NaN 4.0 6.414709e+07 5.0 Consumer Cyclical 534 SSYS 1 0.00 penny-cap Long NaN 29.0 6.294242e+07 5.0 Technology 649 VXRT 1 0.00 penny-cap Long NaN 19.0 5.521189e+07 3.0 Healthcare 474 TDC 2 -0.80 penny-cap Long NaN 2.0 3.305490e+07 5.0 Technology 375 HCM 3 5.90 penny-cap Long NaN 3.0 2.251217e+07 4.0 Healthcare 635 CPK 1 0.00 penny-cap Long NaN 11.0 7.876349e+06 3.0 Utilities 470 CCU 2 -1.43 penny-cap Long NaN 10.0 1.252206e+06 5.0 Consumer Defensive Mean Return: 4.642 Mean Day/Week: 3.0 Accuracy:0.4 *******************Part 3.4 Penny Cap Short Entry SPAN********************* penny_short_signal_entry_span Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 436 SABR 1 0.00 penny-cap Short NaN -2.0 1.613210e+08 -5.0 Technology 711 RAD 1 0.00 penny-cap Short NaN -3.0 7.872086e+07 -3.0 Healthcare 471 PDCO 3 -2.68 penny-cap Short NaN -4.0 6.923694e+07 -4.0 Healthcare 414 PK 1 0.00 penny-cap Short NaN -1.0 5.964639e+07 -2.0 Real Estate 517 FUL 1 0.00 penny-cap Short NaN -33.0 3.321857e+07 -4.0 Basic Materials 463 SR 5 2.53 penny-cap Short NaN -5.0 1.821468e+07 -5.0 Utilities 515 CATY 1 0.00 penny-cap Short NaN -13.0 1.549464e+07 -1.0 Financial Services Mean Return: -0.07500000000000018 Mean Day/Week: 6.5 Accuracy:0.5 *******************Part 3.5 Penny Cap Long Entry MACD********************* penny_long_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 370 M 1 0.00 penny-cap Long NaN 1.0 2.104740e+08 31.0 Consumer Cyclical 426 AEO 2 -2.45 penny-cap Long NaN 3.0 1.626171e+08 78.0 Consumer Cyclical 587 RIG 5 3.24 penny-cap Long NaN 5.0 1.486131e+08 20.0 Energy 718 QADA 1 0.00 penny-cap Long NaN 1.0 1.140766e+08 22.0 Technology 542 RRC 3 1.15 penny-cap Long NaN 3.0 1.092816e+08 40.0 Energy 353 CROX 3 2.58 penny-cap Long NaN 3.0 1.017724e+08 78.0 Consumer Cyclical 608 AR 4 2.62 penny-cap Long NaN 4.0 8.357870e+07 78.0 Energy 693 ANF 2 -1.79 penny-cap Long NaN 2.0 6.855003e+07 78.0 Consumer Cyclical 405 CELH 3 0.79 penny-cap Long NaN 4.0 6.759017e+07 27.0 Consumer Defensive 524 URBN 2 -3.37 penny-cap Long NaN 4.0 6.414709e+07 5.0 Consumer Cyclical 434 SEM 3 -1.91 penny-cap Long NaN 3.0 3.939030e+07 78.0 Healthcare 627 VSTO 5 2.62 penny-cap Long NaN 5.0 3.831794e+07 40.0 Consumer Cyclical 658 BOOT 4 -0.03 penny-cap Long NaN 4.0 3.661990e+07 78.0 Consumer Cyclical 474 TDC 2 -0.80 penny-cap Long NaN 2.0 3.305490e+07 5.0 Technology 416 SIGI 3 0.81 penny-cap Long NaN 3.0 2.662270e+07 6.0 Financial Services 430 VIAV 1 0.00 penny-cap Long NaN 1.0 2.642205e+07 32.0 Technology 659 IRWD 5 4.22 penny-cap Long NaN 5.0 2.315004e+07 55.0 Healthcare 375 HCM 3 5.90 penny-cap Long NaN 3.0 2.251217e+07 4.0 Healthcare 737 CRTO 2 1.84 penny-cap Long NaN 2.0 2.229928e+07 78.0 Communication Services 603 CALX 2 2.02 penny-cap Long NaN 2.0 1.931605e+07 31.0 Technology 399 IMAB 5 1.02 penny-cap Long NaN 5.0 1.586441e+07 47.0 Healthcare 523 ATRC 3 1.61 penny-cap Long NaN 3.0 1.389952e+07 78.0 Healthcare 505 ONTO 1 0.00 penny-cap Long NaN 1.0 1.305279e+07 27.0 Technology 359 DRVN 2 -3.44 penny-cap Long NaN 2.0 1.299919e+07 33.0 Consumer Cyclical 686 USA 2 -0.76 penny-cap Long NaN 2.0 1.202163e+07 78.0 Financial Services 741 ESTA 4 3.33 penny-cap Long NaN 4.0 1.141988e+07 78.0 Healthcare 385 ALTR 3 -0.70 penny-cap Long NaN 3.0 1.115045e+07 7.0 Technology 584 NVMI 1 0.00 penny-cap Long NaN 1.0 9.925589e+06 29.0 Technology 763 ZUMZ 3 1.23 penny-cap Long NaN 4.0 9.619030e+06 6.0 Consumer Cyclical 656 PIPR 2 -3.48 penny-cap Long NaN 2.0 9.113834e+06 78.0 Financial Services 419 MSP 5 3.59 penny-cap Long NaN 5.0 8.905229e+06 31.0 Technology 757 INGN 3 -2.03 penny-cap Long NaN 5.0 7.828172e+06 64.0 Healthcare 427 SEB 3 3.82 penny-cap Long NaN 3.0 7.743575e+06 12.0 Industrials 467 DNP 2 -0.38 penny-cap Long NaN 2.0 7.369441e+06 30.0 Financial Services 632 HLIO 2 2.31 penny-cap Long NaN 5.0 6.151895e+06 20.0 Industrials 629 CRVL 5 3.07 penny-cap Long NaN 5.0 5.314572e+06 59.0 Financial Services 617 ADX 1 0.00 penny-cap Long NaN 1.0 3.888775e+06 78.0 Financial Services 464 SOGO 1 0.00 penny-cap Long NaN 1.0 3.667298e+06 56.0 Communication Services 626 BSM 2 -1.50 penny-cap Long NaN 2.0 3.408400e+06 56.0 Energy 733 NMZ 1 0.00 penny-cap Long NaN 1.0 3.284978e+06 58.0 Financial Services 687 VCTR 5 1.35 penny-cap Long NaN 5.0 2.026043e+06 78.0 Financial Services 593 EVA 4 -0.88 penny-cap Long NaN 5.0 1.816619e+06 6.0 Basic Materials 753 AFINP 1 0.00 penny-cap Long NaN 5.0 2.290478e+05 6.0 Real Estate Mean Return: 0.7529411764705882 Mean Day/Week: 3.4411764705882355 Accuracy:0.5882352941176471 *******************Part 3.6 Penny Cap Short Entry MACD********************* penny_short_signal_entry_macd Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 436 SABR 1 0.00 penny-cap Short NaN -2.0 1.613210e+08 -5.0 Technology 472 GBT 1 0.00 penny-cap Short NaN -5.0 9.936286e+07 -137.0 Healthcare 711 RAD 1 0.00 penny-cap Short NaN -3.0 7.872086e+07 -3.0 Healthcare 471 PDCO 3 -2.68 penny-cap Short NaN -4.0 6.923694e+07 -4.0 Healthcare 414 PK 1 0.00 penny-cap Short NaN -1.0 5.964639e+07 -2.0 Real Estate 561 FUN 1 0.00 penny-cap Short NaN -1.0 3.485277e+07 -35.0 Consumer Cyclical 400 HAIN 4 1.85 penny-cap Short NaN -4.0 3.273623e+07 -50.0 Consumer Defensive 418 OGS 5 1.64 penny-cap Short NaN -5.0 1.952978e+07 -7.0 Utilities 463 SR 5 2.53 penny-cap Short NaN -5.0 1.821468e+07 -5.0 Utilities 486 UNIT 4 0.31 penny-cap Short NaN -4.0 1.570121e+07 -137.0 Real Estate 614 ENDP 5 3.77 penny-cap Short NaN -5.0 1.379324e+07 -65.0 Healthcare 573 AVNS 1 0.00 penny-cap Short NaN -1.0 1.200519e+07 -71.0 Healthcare 600 INT 1 0.00 penny-cap Short NaN -1.0 1.076775e+07 -8.0 Energy 527 XNCR 1 0.00 penny-cap Short NaN -1.0 8.723057e+06 -71.0 Healthcare 732 TBPH 2 0.83 penny-cap Short NaN -2.0 7.223137e+06 -32.0 Healthcare 667 HMN 4 -1.74 penny-cap Short NaN -4.0 7.153362e+06 -47.0 Financial Services 707 KROS 3 -1.00 penny-cap Short NaN -3.0 4.864996e+06 -41.0 Healthcare 708 NXGN 1 0.00 penny-cap Short NaN -5.0 4.235872e+06 -137.0 Healthcare 745 FDMT 2 5.04 penny-cap Short NaN -2.0 2.822474e+06 -71.0 Healthcare 668 SBLKZ 3 0.00 penny-cap Short NaN -3.0 3.779623e+05 -23.0 unknown Mean Return: 0.9590909090909091 Mean Day/Week: 4.454545454545454 Accuracy:0.2727272727272727 *******************Part 3.7 Penny Cap Long Maintainance********************* penny_long_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 374 AMC 12 18.81 penny-cap Long NaN 31.0 5.727956e+09 34.0 Communication Services 503 BOX 9 3.42 penny-cap Long NaN 30.0 1.621818e+08 35.0 Technology 352 STAA 23 13.55 penny-cap Long NaN 23.0 1.357492e+08 62.0 Healthcare 580 MAC 6 4.01 penny-cap Long NaN 48.0 1.236140e+08 37.0 Real Estate 411 CDNA 16 8.98 penny-cap Long NaN 25.0 1.053944e+08 27.0 Healthcare 788 SM 6 8.62 penny-cap Long NaN 22.0 9.603205e+07 78.0 Energy 518 QFIN 17 14.41 penny-cap Long NaN 25.0 8.559714e+07 25.0 unknown 537 RVLV 9 21.52 penny-cap Long NaN 22.0 7.827012e+07 32.0 Consumer Cyclical 596 ASO 6 1.42 penny-cap Long NaN 21.0 7.778825e+07 78.0 Consumer Cyclical 390 OVV 6 4.17 penny-cap Long NaN 22.0 7.428692e+07 23.0 Energy 404 SWAV 28 23.33 penny-cap Long NaN 28.0 6.693397e+07 63.0 Healthcare 432 OPCH 14 4.50 penny-cap Long NaN 24.0 6.693065e+07 16.0 Healthcare 685 DEN 27 21.67 penny-cap Long NaN 27.0 6.637683e+07 78.0 Energy 373 JOBS 20 8.12 penny-cap Long NaN 59.0 6.344767e+07 39.0 Industrials 620 MTDR 6 2.54 penny-cap Long NaN 6.0 6.255962e+07 78.0 Energy 545 CLNY 12 15.42 penny-cap Long NaN 13.0 6.041885e+07 73.0 Real Estate 572 SIG 12 4.62 penny-cap Long NaN 12.0 5.946029e+07 15.0 Consumer Cyclical 479 FRHC 9 4.37 penny-cap Long NaN 21.0 5.840816e+07 20.0 Financial Services 613 DDS 6 13.54 penny-cap Long NaN 31.0 5.731283e+07 46.0 Consumer Cyclical 784 SBLK 9 -5.55 penny-cap Long NaN 9.0 4.572867e+07 78.0 Industrials 368 JCOM 13 8.09 penny-cap Long NaN 16.0 4.542767e+07 78.0 Technology 546 CIM 30 12.77 penny-cap Long NaN 30.0 4.393987e+07 78.0 Real Estate 533 NSA 19 8.43 penny-cap Long NaN 19.0 3.481164e+07 78.0 Real Estate 440 APLS 23 22.55 penny-cap Long NaN 52.0 3.418698e+07 30.0 Healthcare 447 SPT 18 32.71 penny-cap Long NaN 24.0 3.398980e+07 26.0 Technology 383 NAV 20 0.29 penny-cap Long NaN 57.0 3.390486e+07 61.0 Industrials 567 MGY 6 4.54 penny-cap Long NaN 22.0 3.340650e+07 23.0 Energy 497 MIME 34 16.39 penny-cap Long NaN 55.0 2.934976e+07 36.0 Technology 601 INMD 7 6.34 penny-cap Long NaN 17.0 2.916121e+07 31.0 Healthcare 581 SGRY 45 31.21 penny-cap Long NaN 45.0 2.777345e+07 78.0 Healthcare 739 RAVN 6 0.18 penny-cap Long NaN 6.0 2.760791e+07 48.0 Industrials 366 HLI 6 4.38 penny-cap Long NaN 33.0 2.648984e+07 33.0 Financial Services 646 DRNA 17 17.35 penny-cap Long NaN 25.0 2.636311e+07 31.0 Healthcare 501 ACCD 14 2.79 penny-cap Long NaN 25.0 2.625795e+07 29.0 Healthcare 394 KRNT 11 3.22 penny-cap Long NaN 25.0 2.620514e+07 23.0 Industrials 449 PZZA 11 2.59 penny-cap Long NaN 15.0 2.564634e+07 37.0 Consumer Cyclical 386 LPSN 7 5.38 penny-cap Long NaN 27.0 2.563958e+07 17.0 Technology 621 PRFT 55 25.57 penny-cap Long NaN 55.0 2.539519e+07 78.0 Technology 756 CRK 15 7.94 penny-cap Long NaN 40.0 2.527573e+07 21.0 Energy 459 VG 18 5.25 penny-cap Long NaN 28.0 2.525230e+07 32.0 Communication Services 724 ERJ 24 18.45 penny-cap Long NaN 24.0 2.378064e+07 78.0 Industrials 742 EVRI 6 3.77 penny-cap Long NaN 45.0 2.279352e+07 48.0 Consumer Cyclical 477 CVLT 6 2.23 penny-cap Long NaN 25.0 2.269033e+07 78.0 Technology 525 AXSM 13 7.31 penny-cap Long NaN 45.0 2.258375e+07 21.0 Healthcare 652 MFA 6 -0.58 penny-cap Long NaN 16.0 2.164924e+07 78.0 Real Estate 516 FHI 6 0.43 penny-cap Long NaN 9.0 2.132570e+07 39.0 Financial Services 684 CNST 13 0.65 penny-cap Long NaN 31.0 2.120892e+07 19.0 Healthcare 365 RPD 9 5.78 penny-cap Long NaN 26.0 2.063404e+07 31.0 Technology 647 HSKA 14 8.29 penny-cap Long NaN 14.0 2.020247e+07 31.0 Healthcare 431 SVMK 9 7.59 penny-cap Long NaN 56.0 1.936393e+07 23.0 Technology 688 LX 10 3.34 penny-cap Long NaN 25.0 1.919397e+07 17.0 Financial Services 789 CDMO 19 12.10 penny-cap Long NaN 19.0 1.848215e+07 78.0 Healthcare 380 TRUP 15 17.33 penny-cap Long NaN 52.0 1.835526e+07 23.0 Financial Services 354 WK 9 7.96 penny-cap Long NaN 25.0 1.814814e+07 17.0 Technology 673 SYKE 6 -0.76 penny-cap Long NaN 7.0 1.786933e+07 7.0 Technology 599 DOMO 18 23.51 penny-cap Long NaN 25.0 1.779829e+07 27.0 Technology 522 MDRX 6 4.49 penny-cap Long NaN 53.0 1.738042e+07 34.0 Healthcare 455 AQUA 6 2.86 penny-cap Long NaN 26.0 1.715389e+07 56.0 Industrials 750 LNTH 8 9.15 penny-cap Long NaN 20.0 1.668646e+07 22.0 Healthcare 597 SKY 7 4.20 penny-cap Long NaN 23.0 1.654613e+07 23.0 Consumer Cyclical 439 WNS 9 4.16 penny-cap Long NaN 26.0 1.627088e+07 27.0 Industrials 452 BLKB 9 3.10 penny-cap Long NaN 23.0 1.596758e+07 23.0 Technology 512 CSOD 9 4.04 penny-cap Long NaN 28.0 1.562320e+07 19.0 Technology 602 CVA 14 0.93 penny-cap Long NaN 14.0 1.547654e+07 41.0 Industrials 747 RGR 7 6.73 penny-cap Long NaN 35.0 1.404746e+07 37.0 Industrials 521 EXLS 38 9.62 penny-cap Long NaN 38.0 1.370128e+07 78.0 Technology 645 PMT 11 2.83 penny-cap Long NaN 16.0 1.367287e+07 17.0 Real Estate 349 DAVA 29 23.10 penny-cap Long NaN 45.0 1.335722e+07 48.0 Technology 638 ACMR 8 0.37 penny-cap Long NaN 22.0 1.334786e+07 12.0 Technology 640 RVNC 14 2.05 penny-cap Long NaN 14.0 1.332435e+07 48.0 Healthcare 564 RMBS 8 5.27 penny-cap Long NaN 22.0 1.299055e+07 11.0 Technology 499 AMRC 18 16.58 penny-cap Long NaN 57.0 1.221928e+07 23.0 Industrials 618 INSG 7 3.24 penny-cap Long NaN 48.0 1.205060e+07 16.0 Technology 738 GLNG 6 0.79 penny-cap Long NaN 31.0 1.204996e+07 31.0 Energy 550 HCSG 14 4.27 penny-cap Long NaN 14.0 1.178862e+07 36.0 Healthcare 403 SWTX 6 -0.67 penny-cap Long NaN 48.0 1.178681e+07 26.0 Healthcare 490 FSKR 12 2.00 penny-cap Long NaN 12.0 1.178254e+07 70.0 Financial Services 571 SITM 9 9.37 penny-cap Long NaN 25.0 1.172278e+07 16.0 Technology 408 INOV 14 3.88 penny-cap Long NaN 14.0 1.164683e+07 78.0 Healthcare 641 CSII 6 1.70 penny-cap Long NaN 26.0 1.074786e+07 15.0 Healthcare 604 ARCE 8 2.96 penny-cap Long NaN 22.0 1.049872e+07 19.0 Consumer Defensive 703 FFG 17 0.38 penny-cap Long NaN 17.0 1.006323e+07 17.0 Financial Services 585 PBH 35 11.30 penny-cap Long NaN 35.0 9.788666e+06 40.0 Healthcare 734 VLRS 9 0.54 penny-cap Long NaN 9.0 9.472697e+06 78.0 Industrials 671 SUPN 11 0.76 penny-cap Long NaN 11.0 9.392521e+06 54.0 Healthcare 577 VRRM 10 3.39 penny-cap Long NaN 10.0 9.281592e+06 18.0 Industrials 552 MODV 14 7.70 penny-cap Long NaN 42.0 8.993448e+06 15.0 Healthcare 762 CRTX 18 18.06 penny-cap Long NaN 29.0 8.847629e+06 25.0 Healthcare 610 FTAI 13 7.13 penny-cap Long NaN 23.0 8.533496e+06 16.0 Industrials 781 CMRE 19 7.65 penny-cap Long NaN 19.0 8.521548e+06 78.0 Industrials 761 FINV 12 15.61 penny-cap Long NaN 27.0 8.520730e+06 29.0 Financial Services 712 BLFS 7 5.05 penny-cap Long NaN 27.0 8.378165e+06 10.0 Healthcare 661 EBIX 12 -3.70 penny-cap Long NaN 20.0 8.139041e+06 15.0 Technology 458 CNS 35 16.17 penny-cap Long NaN 78.0 7.836958e+06 46.0 Financial Services 722 INVA 6 -0.05 penny-cap Long NaN 6.0 7.311869e+06 35.0 Healthcare 410 SAFE 12 3.06 penny-cap Long NaN 26.0 7.004315e+06 16.0 Real Estate 713 INBX 7 -1.60 penny-cap Long NaN 34.0 6.686774e+06 18.0 Healthcare 682 BSIG 6 -1.08 penny-cap Long NaN 6.0 6.576918e+06 62.0 Financial Services 460 NAD 27 3.06 penny-cap Long NaN 27.0 6.210440e+06 58.0 Financial Services 664 ZYME 14 -1.90 penny-cap Long NaN 47.0 5.694560e+06 20.0 Healthcare 690 EVV 17 2.23 penny-cap Long NaN 29.0 5.412581e+06 31.0 Financial Services 709 RDWR 17 6.83 penny-cap Long NaN 26.0 5.136695e+06 36.0 Technology 697 MMI 6 -1.11 penny-cap Long NaN 57.0 4.381419e+06 32.0 Real Estate 473 NOAH 8 4.91 penny-cap Long NaN 31.0 4.377495e+06 12.0 Financial Services 495 BSTZ 9 5.09 penny-cap Long NaN 21.0 3.941411e+06 26.0 unknown 735 LINX 16 1.81 penny-cap Long NaN 50.0 3.751500e+06 46.0 Technology 728 NYMTO 11 2.01 penny-cap Long NaN 11.0 3.189816e+06 78.0 Real Estate 679 BBN 15 1.59 penny-cap Long NaN 64.0 3.134216e+06 29.0 Financial Services 777 AUDC 18 6.80 penny-cap Long NaN 57.0 3.056427e+06 38.0 Technology 743 SCWX 18 24.75 penny-cap Long NaN 30.0 2.915247e+06 20.0 Technology 786 AWF 18 3.42 penny-cap Long NaN 24.0 1.984668e+06 31.0 Financial Services 644 DCBO 6 4.38 penny-cap Long NaN 60.0 1.741363e+06 46.0 Technology 557 NZF 7 0.76 penny-cap Long NaN 21.0 1.322379e+06 58.0 Financial Services 736 NRK 19 1.41 penny-cap Long NaN 19.0 8.899695e+05 55.0 Financial Services 407 ESGRP 11 0.28 penny-cap Long NaN 17.0 3.692296e+05 62.0 Financial Services 726 NYMTN 14 3.87 penny-cap Long NaN 19.0 3.459963e+05 30.0 Real Estate 721 NYMTP 11 1.23 penny-cap Long NaN 14.0 3.376303e+05 16.0 Real Estate 514 TDA 6 0.16 penny-cap Long NaN 19.0 1.741667e+05 31.0 unknown 417 WTFCM 8 0.40 penny-cap Long NaN 18.0 1.170711e+05 61.0 Financial Services Mean Return: 6.85890756302521 Mean Day/Week: 13.554621848739496 Accuracy:0.9159663865546218 *******************Part 3.8 Penny Cap Short Maintainance********************* penny_short_signal_maintainance Symbol Day Return Market Cap Long/Short score MACD Signal Count Market Value Span Signal Count industry 376 JBLU 10 -6.39 penny-cap Short NaN -55.0 1.642084e+08 -19.0 Industrials 529 SAVE 17 -11.66 penny-cap Short NaN -17.0 1.632385e+08 -35.0 Industrials 372 HFC 8 -2.84 penny-cap Short NaN -8.0 8.553724e+07 -39.0 Energy 666 PLAY 12 -5.64 penny-cap Short NaN -61.0 7.484695e+07 -35.0 Consumer Cyclical 358 SAGE 10 -2.37 penny-cap Short NaN -10.0 6.357088e+07 -11.0 Healthcare 355 NYCB 13 -4.66 penny-cap Short NaN -13.0 5.747157e+07 -39.0 Financial Services 480 ALGT 19 -14.40 penny-cap Short NaN -68.0 5.300532e+07 -40.0 Industrials 453 CBRL 14 -6.00 penny-cap Short NaN -52.0 5.191087e+07 -35.0 Consumer Cyclical 586 CAKE 8 -1.01 penny-cap Short NaN -34.0 5.082935e+07 -13.0 Consumer Cyclical 619 BLMN 8 3.92 penny-cap Short NaN -34.0 4.227405e+07 -12.0 Consumer Cyclical 538 FLR 9 -0.08 penny-cap Short NaN -32.0 4.146664e+07 -32.0 Industrials 444 TMHC 13 -4.96 penny-cap Short NaN -41.0 3.995936e+07 -19.0 Consumer Cyclical 489 ABG 13 -4.86 penny-cap Short NaN -43.0 3.844446e+07 -19.0 Consumer Cyclical 364 ALSN 8 0.60 penny-cap Short NaN -24.0 3.327662e+07 -16.0 Consumer Cyclical 502 UTZ 11 -7.71 penny-cap Short NaN -33.0 3.133690e+07 -32.0 Consumer Defensive 462 TRN 6 -2.02 penny-cap Short NaN -7.0 3.054461e+07 -8.0 Industrials 547 WWW 8 0.02 penny-cap Short NaN -33.0 3.052428e+07 -28.0 Consumer Cyclical 478 ENR 16 -1.83 penny-cap Short NaN -38.0 2.995870e+07 -21.0 Industrials 429 AVT 6 2.09 penny-cap Short NaN -41.0 2.939753e+07 -8.0 Technology 451 LCII 6 -0.13 penny-cap Short NaN -12.0 2.904873e+07 -13.0 Consumer Cyclical 441 MDC 11 -3.38 penny-cap Short NaN -49.0 2.852427e+07 -20.0 Consumer Cyclical 469 TCBI 8 -2.46 penny-cap Short NaN -8.0 2.842592e+07 -59.0 Financial Services 553 THS 22 -7.57 penny-cap Short NaN -24.0 2.441724e+07 -39.0 Consumer Defensive 397 VMI 7 5.27 penny-cap Short NaN -28.0 2.319021e+07 -13.0 Industrials 500 WOR 10 -3.59 penny-cap Short NaN -33.0 2.305712e+07 -29.0 Industrials 351 PAG 7 2.33 penny-cap Short NaN -34.0 2.263111e+07 -17.0 Consumer Cyclical 369 AL 13 -6.55 penny-cap Short NaN -13.0 2.158255e+07 -36.0 Industrials 508 ONB 8 -2.38 penny-cap Short NaN -66.0 2.120085e+07 -41.0 Financial Services 660 FSM 8 -7.92 penny-cap Short NaN -9.0 2.101696e+07 -18.0 Basic Materials 536 DOOR 8 0.98 penny-cap Short NaN -39.0 2.099982e+07 -19.0 Industrials 491 BXS 12 -5.98 penny-cap Short NaN -12.0 2.085713e+07 -49.0 Financial Services 650 CVI 7 6.61 penny-cap Short NaN -11.0 2.081260e+07 -60.0 Energy 481 CNO 7 4.56 penny-cap Short NaN -24.0 2.057093e+07 -13.0 Financial Services 589 TSE 8 1.46 penny-cap Short NaN -28.0 2.052735e+07 -29.0 Basic Materials 456 VSH 16 -5.12 penny-cap Short NaN -41.0 2.044072e+07 -35.0 Technology 496 COLB 8 -3.66 penny-cap Short NaN -69.0 1.986880e+07 -54.0 Financial Services 421 SNDR 8 1.42 penny-cap Short NaN -28.0 1.919854e+07 -24.0 Industrials 651 LZB 9 0.81 penny-cap Short NaN -33.0 1.859092e+07 -29.0 Consumer Cyclical 598 SKYW 17 -9.61 penny-cap Short NaN -17.0 1.820870e+07 -41.0 Industrials 605 FMBI 15 -5.44 penny-cap Short NaN -64.0 1.759863e+07 -29.0 Financial Services 654 EB 10 -4.66 penny-cap Short NaN -10.0 1.669237e+07 -34.0 Technology 778 BJRI 13 -5.88 penny-cap Short NaN -69.0 1.611357e+07 -29.0 Consumer Cyclical 535 ABM 11 -6.78 penny-cap Short NaN -49.0 1.527128e+07 -21.0 Industrials 764 ACRS 15 -3.54 penny-cap Short NaN -54.0 1.521996e+07 -36.0 Healthcare 731 ARCB 8 4.12 penny-cap Short NaN -28.0 1.490826e+07 -17.0 Industrials 566 FULT 7 3.62 penny-cap Short NaN -64.0 1.425955e+07 -8.0 Financial Services 511 NWE 7 -0.53 penny-cap Short NaN -44.0 1.408963e+07 -24.0 Utilities 594 CMP 8 -5.40 penny-cap Short NaN -26.0 1.395100e+07 -11.0 Basic Materials 494 DAN 6 0.80 penny-cap Short NaN -14.0 1.384551e+07 -8.0 Consumer Cyclical 559 RUSHA 8 -4.46 penny-cap Short NaN -49.0 1.360957e+07 -19.0 Consumer Cyclical 413 AAON 18 -4.23 penny-cap Short NaN -18.0 1.331119e+07 -68.0 Industrials 504 AIT 6 1.49 penny-cap Short NaN -28.0 1.292238e+07 -9.0 Industrials 438 HOMB 7 3.87 penny-cap Short NaN -67.0 1.268239e+07 -14.0 Financial Services 696 HOPE 7 1.94 penny-cap Short NaN -63.0 1.209505e+07 -8.0 Financial Services 532 AVA 7 0.41 penny-cap Short NaN -51.0 1.194317e+07 -20.0 Utilities 670 PATK 8 -2.17 penny-cap Short NaN -33.0 1.132382e+07 -18.0 Consumer Cyclical 387 RXT 10 -3.79 penny-cap Short NaN -45.0 1.110177e+07 -34.0 Technology 760 CMCO 8 0.00 penny-cap Short NaN -68.0 9.898049e+06 -24.0 Industrials 513 CWT 6 -1.27 penny-cap Short NaN -6.0 9.670515e+06 -7.0 Utilities 543 GCMG 16 -7.91 penny-cap Short NaN -32.0 9.516059e+06 -34.0 Financial Services 692 TBK 7 3.76 penny-cap Short NaN -46.0 9.462226e+06 -29.0 Financial Services 625 ADUS 14 -6.42 penny-cap Short NaN -14.0 9.435762e+06 -42.0 Healthcare 700 AROC 8 -3.28 penny-cap Short NaN -8.0 9.364533e+06 -8.0 Energy 616 MTOR 9 -5.97 penny-cap Short NaN -9.0 9.227025e+06 -62.0 Consumer Cyclical 780 KRA 13 -6.32 penny-cap Short NaN -41.0 9.076175e+06 -42.0 Basic Materials 720 PGTI 14 -1.90 penny-cap Short NaN -34.0 8.945938e+06 -28.0 Industrials 639 FBK 15 -6.58 penny-cap Short NaN -67.0 8.932593e+06 -44.0 Financial Services 689 CGEM 7 3.22 penny-cap Short NaN -7.0 8.678345e+06 -118.0 Healthcare 519 CVBF 7 1.58 penny-cap Short NaN -8.0 8.649385e+06 -8.0 Financial Services 678 ATSG 7 1.58 penny-cap Short NaN -7.0 8.600105e+06 -48.0 Industrials 565 IOSP 8 -2.67 penny-cap Short NaN -13.0 8.314157e+06 -14.0 Basic Materials 544 IBOC 6 -3.11 penny-cap Short NaN -28.0 8.146512e+06 -8.0 Financial Services 662 NWBI 7 0.36 penny-cap Short NaN -7.0 8.053580e+06 -8.0 Financial Services 541 FIBK 14 -7.58 penny-cap Short NaN -68.0 7.544099e+06 -35.0 Financial Services 556 FLOW 6 1.13 penny-cap Short NaN -29.0 6.737537e+06 -9.0 Industrials 675 LNN 7 4.31 penny-cap Short NaN -70.0 6.639539e+06 -14.0 Industrials 582 FRME 13 -3.29 penny-cap Short NaN -64.0 6.373129e+06 -25.0 Financial Services 637 TRMK 8 -1.22 penny-cap Short NaN -62.0 6.357547e+06 -24.0 Financial Services 606 BANF 13 -3.08 penny-cap Short NaN -29.0 6.315372e+06 -25.0 Financial Services 755 OCFC 8 -2.54 penny-cap Short NaN -63.0 6.228500e+06 -37.0 Financial Services 648 SBCF 7 1.65 penny-cap Short NaN -29.0 5.915000e+06 -8.0 Financial Services 704 CVGW 14 -7.00 penny-cap Short NaN -44.0 5.416558e+06 -41.0 Consumer Defensive 681 WABC 13 -4.51 penny-cap Short NaN -68.0 5.053252e+06 -25.0 Financial Services 539 MEOH 8 -2.53 penny-cap Short NaN -26.0 4.957823e+06 -35.0 Basic Materials 725 EPAC 6 -0.73 penny-cap Short NaN -29.0 4.860421e+06 -8.0 Industrials 677 NTB 7 0.07 penny-cap Short NaN -34.0 4.825856e+06 -25.0 Financial Services 748 PLUS 20 -5.93 penny-cap Short NaN -34.0 4.825187e+06 -28.0 Technology 691 NBTB 8 -4.57 penny-cap Short NaN -24.0 4.660380e+06 -24.0 Financial Services 744 RMAX 14 -4.48 penny-cap Short NaN -71.0 4.596564e+06 -54.0 Real Estate 785 PRA 8 -5.14 penny-cap Short NaN -66.0 4.560257e+06 -35.0 Financial Services 729 SWM 21 -4.31 penny-cap Short NaN -68.0 4.535637e+06 -34.0 Basic Materials 607 PRK 8 -3.07 penny-cap Short NaN -14.0 4.157478e+06 -41.0 Financial Services 783 MATW 8 -3.84 penny-cap Short NaN -66.0 3.932883e+06 -25.0 Industrials 643 CFFN 24 -1.69 penny-cap Short NaN -24.0 3.855379e+06 -59.0 Financial Services 775 NBHC 7 0.15 penny-cap Short NaN -67.0 3.826443e+06 -25.0 Financial Services 767 AMSF 6 -1.09 penny-cap Short NaN -27.0 3.732837e+06 -17.0 Financial Services 751 TCBK 7 0.12 penny-cap Short NaN -13.0 3.713376e+06 -8.0 Financial Services 683 HTLD 28 -6.47 penny-cap Short NaN -48.0 3.642924e+06 -34.0 Industrials 768 ORIC 17 -5.67 penny-cap Short NaN -17.0 3.595535e+06 -137.0 Healthcare 759 SAFT 7 -0.47 penny-cap Short NaN -24.0 3.453870e+06 -20.0 Financial Services 770 SXI 6 1.19 penny-cap Short NaN -26.0 3.351159e+06 -8.0 Industrials 771 FOR 12 -4.02 penny-cap Short NaN -38.0 3.042928e+06 -26.0 Real Estate 773 CLS 7 4.12 penny-cap Short NaN -11.0 2.823887e+06 -12.0 Technology 657 KRO 6 -2.80 penny-cap Short NaN -32.0 2.382791e+06 -16.0 Basic Materials 680 BV 7 2.85 penny-cap Short NaN -45.0 2.270818e+06 -14.0 Industrials 424 MOR 8 0.08 penny-cap Short NaN -8.0 1.682636e+06 -137.0 Healthcare 574 UZC 13 0.04 penny-cap Short NaN -39.0 6.440420e+05 -128.0 unknown 558 RUSHB 8 -3.91 penny-cap Short NaN -51.0 5.382367e+05 -19.0 Consumer Cyclical 488 HKIB 7 -8.42 penny-cap Short NaN -48.0 6.882720e+04 -27.0 Financial Services 575 HWCPL 11 -0.32 penny-cap Short NaN -31.0 4.250000e+04 -33.0 unknown 655 PRTC 8 -5.22 penny-cap Short NaN -8.0 3.222944e+04 -34.0 Healthcare 484 TCBIP 16 -0.10 penny-cap Short NaN -32.0 0.000000e+00 -132.0 Financial Services Mean Return: -2.308571428571429 Mean Day/Week: 10.25 Accuracy:0.6785714285714286 ************************************** ************************************** ************************************** Error: []

Совершенно необходима широкая огласка и помощь юристов! На людей, их приют, животных совершенно разбойное нападение группой лиц по предварительному сговору, с угрозами, оскорбления и, нанесением телесных повреждений, от стресса погибли животные-инвалиды, повреждена собственность. И полиция несмотря на всё это не завела дело!!! #нападение_на_приют --- Репост от @priyut_gooddoog АД, который начался ночью с 24 по 25.06 число! Двое пьяных «мужиков» напали на приют! Начали выламывать ворота, орать, стучать и всячески провоцировать на агрессию. После того, как удалось их прогнать, они приехали с подмогой. ШЕСТЬ! человек с битами на квадроциклах сломали ворота! Начали бить стёкла в рабочей машине, которая спасла ни одну собачью/кошачью (и не только) жизнь. Били/пинали ногами собак, двое «мужиков» били одного парня рабочего, может Вы спросите за что?!? Видимо за свою работу и помощь животным. После ошеломительных криков, уже вышли хозяева приюта. И что произошло далее, не имеет здравого объяснения. Хозяйку Ирину Валерьевну - при выходе из дома ударили огромной деревянной балкой (см. фото 3). Она упала от потери сознания с крыльца, тем самым порвав связки на ноге. Ее муж Андрей, пытаясь отбиваться от этих «чертей», заслонял собой Ирину, соответственно получил множественные удары. В тот момент, когда они уходили, были слышны выстрелы, так же проходила угроза от этой группы лиц, цитата: «Мы вернемся и все сожжём». После того, как Ирина Валерьевна пришла в себя, начались звонки в скорую и полицию. Первые 8-10 звонков были проигнорированы, после приехал участковый! Один! На вооруженное нападение группой лиц! Напомню, это было не на улице, это все происходило на частной территории! Через 112 удалось вызвать опер группу и скорую помощь. По приезду на место, мы сразу уехали вместе со скорой в ЦРБ Малоярославецкого района. Откуда нас направили в Обнинск - ФГБУЗ КБ 8, на «скорой». В то время пока мы ожидаем скорую, спойлер - мы ее не дождались, приезжает машина того самого участкового (ст.лейтенант Везнер Владислав Иванович), с организатором и затейником сего торжества, по совместительству председателем посёлка, Жучков Андрей Владимирович. Продолжение в карусели. https://www.instagram.com/p/CQpPEaSHiKf/?utm_medium=tumblr

Четврток и петок (24-25.06) целата територија на државата ќе биде зафатена со температури од портокалова (алертна) фаза

Четврток и петок (24-25.06) целата територија на државата ќе биде зафатена со температури од портокалова (алертна) фаза

Според најавата од Управата за хидрометеоролошки работи, информираме дека во текот на следните два дена (од 24-25.06.2021 година – четврток до петок), целата територија на државата ќе биде зафатена со температури од портокалова (алертна) фаза. Согласно Акцискиот план за превенирање на последиците од топлотните бранови врз здравјето на населението, потребно е да се почитуваат општите мерки за…

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肇慶：“足不出市”打造新能源汽車產業集群

汽車零部件以及整車因其精度和複雜設計，堪稱“工業藝術品”。 廣東省肇慶市，對於喜歡汽車工業機械的人來說，就是一座集大成者的“工業藝術殿堂”。

從雨刮器、輪胎、車燈，到電池、動力總成、整車，從壓鑄機、機械流水生產線到工匠師傅，在肇慶被完美融合，形成了一條完整的汽車產業鏈條，從而成功實現“一市造車”甚至“一市定車”。 尤其隨著新能源汽車的興起和發展，肇慶從傳統燃油車零件供應基地陞級到新能源汽車產業集群地，成為全球新能源汽車陞級創新的發源地之一。

見證產業升級裂變

廣東嘉利車燈有限公司相關負責人介紹，公司主營產品為汽車車燈，比亞迪、廣汽埃安、廣汽乘用車等主要客戶的訂單占公司銷售份額的約6成。 “過去三年，嘉利車燈訂單年均增長30%，預計未來我們可以保持這個增速。”

嘉利車燈相關負責人介紹，當下整車客戶對車燈效能和外觀等的要求不斷提升，嘉利車燈在不斷引入更多配寘單元、調光單元，以實現降本增效。 嘉利車燈相關負責人介紹，隨著市場需求的不斷擴大，公司正在啟動“汽車隨動前照燈系統、LED前照燈”項目二期。 “農行肇慶分行給我們投放了8年期固定資產貸款9000萬元。在農行貸款支持下，現時公司二期項目已建設完成，生產設備正在搬遷、安裝調試階段。”

“足不出市，我們就可以見證全球新能源汽車產業鏈的陞級裂變。”中國農業銀行肇慶分行副行長張良運說，通過近年來的銀行合作客戶、貸款需求、匯兌結算等情况，很明顯感覺到中國新能源汽車正在全球汽車產業領域實現換道超車。 資料顯示，截至2023年3月末，該分行支持汽車產業鏈上下游企業24家，貸款授信餘額70.84億元，貸款餘額25.06億元。

2016年年底，肇慶首次提出將新能源汽車作為主導產業重點發展，積極佈局新能源汽車產業。 統計資料顯示，2022年，肇慶新能源汽車及汽車零部件產業實現總產值705.7億元，同比增長了50.6%，連續2年增速超50%，約占全省汽車製造業產值的7%。 當前，肇慶已將新能源汽車及汽車零部件產業列為主導產業之一。

迎“新”而上已成常態

擴大產能，轉型陞級，成為肇慶迎“新”而上的企業的普遍狀態。 位於肇慶市高要區的廣東力源科技股份有限公司，是鋁合金壓鑄一站式服務供應商，公司看好新能源汽車發展態勢，從做傳統燃油車的雨刮器、油底殼等鋁合金構件，逐漸轉做新能源電機、電控外殼、充電樁等壓鑄件，並借助銀行融資開建力源二工廠佈局新能源汽車產業。 “肇慶高要是全國壓鑄產業基地，30多年來培育了大量的行業科技人才，這是我們難以被取代的優勢。”廣東力源運營總監馮毅說。

現時，高要是全國壓鑄產業最為集中、擁有最多最先進壓鑄生產單元的產業集聚區之一，集聚了廣東鴻圖、鴻勁金屬、鴻泰科技等一��行業龍頭企業。

2022年1月，廣東鴻圖科技股份有限公司與力勁科技聯合研發的首臺國產6800T超大型智慧壓鑄單元成功下線一體化車身結構件，這是新能源汽車大型一體化壓鑄科技實現國產自主可控的重要突破。 同年9月，公司參與研發的12000T超大型智慧壓鑄單元發佈，重繪了全球壓鑄機的最大噸位紀錄。 這一超大型智慧壓鑄單元配寘了行業領先的高真空系統、模溫精確控制系統、高效噴塗系統、柔性取件與後處理系統，可實現全自動、智能化、無人化生產製造，可用於新能源汽車一體化前艙總成、一體化後地板總成，以及一體化電池託盤等關鍵覈心輕量化部件的生產製造。

打造千億產業集群

記者瞭解到，採用超大型智慧壓鑄單元，可將多個單獨、分散的零部件高度集成後一體化壓鑄，從而極大地减少了零件數量、產品重量、製造成本和設備占地面積等，提升了新能源汽車產業的競爭力。

據高要區相關負責人介紹，截至2022年年末，高要區共有壓鑄企業50多家，從業人員超1萬人； 壓鑄產業實現工業總產值85.8億元，創稅3.2億元，鑄造件年產量達21萬噸。

“來到肇慶，是個巧合。當時我們正好在找廠房，肇慶市政府得知消息後，邀請我們來考察。我們發現，周邊的模具廠、壓鑄廠、鋁型材企業等配套非常完善，就打算在這裡紮根。”合普動力股份有限公司董事長李顯平說。

從電梯永磁同步曳引機，到新能源汽車的動力總成，合普動力用研發推動了新能源汽車市場的採購需求陞級。 “剛開始，合普動力只做電機，但是新能源汽車的趨勢是三合一甚至多合一的動力總成。”李顯平認為，動力總成對電動化水准的提高起著至關重要的作用，其科技、製造水准直接影響整車的性能和成本。 囙此，從2018年開始，合普動力投入超4億元研發動力總成，2021年開始批量出產。

李顯平介紹，現時公司已形成了適用於純電動乘用車、純電動商用車、電動工程車、電動專用車、電梯等五大類電驅動產品的研發平臺，為國內外整車企業和動力系統集成商配套開發電驅動系統產品260多個品種。 公司的產品暢銷全國各地，並遠銷歐洲、美洲、中東、非洲和東南亞地區。 “比亞迪、小鵬、東風柳汽、義大利菲亞特等均為我們公司的客戶。”

與合普動力類似的企業比比皆是。 從被產業配套吸引來到肇慶，變成在肇慶吸引更多產業配套，小鵬汽車、寧德時代等龍頭企業的落戶生動詮釋了肇慶近年來產業集聚效應的不斷放大。

肇慶市工信局相關負責人介紹，現時，肇慶全市擁有規上新能源汽車產業集群企業89家，其中，規上汽車零部件企業85家，規上整車及改裝車企業4家，初步形成了整車製造+電池、電機、電控、電線、輪胎、底盤、輕量化資料、感測器、照明等關鍵零部件的產業鏈條， 汽車後市場等全產業鏈集羣發展格局加速形成，將向上千億元產值產業集群邁進。 肇慶提出明確目標：到2025年新能源汽車及汽車零部件產業產值要達到2000億元。

來源：經濟參考報

100 Jahre Paulo Freire - 50 Jahre Befreiende Pädagogik bei uns?

Paulo Freire (* 19. September 1921 in Recife; † 2. Mai 1997 in São Paulo) war ein in Theorie und Praxis international einflussreicher brasilianischer Jurist, Pädagoge und weltweit rezipierter Autor (wikipedia ) und wirkt international in die Kritische Pädagogik wie in die Kritische Theorie: auch das Theater der Unterdrückten als Kritische Praxis

kann lernen wirklich Freude machen? Die Gedanken und pädagogischen Ansätze von Paulo Freire in der Pädagogik der Unterdrückten waren in den siebziger Jahren so revolutionär, dass sie viele Menschen weltweit begeisterten. Konservativen Politikern und PädagogInnen erschienen sie (manchen bis heute) zu „verdächtig“, um sie in unsere Bildungs-Praxis umzusetzen:

Bankiers-Erziehung und "Kultur des Schweigens"

Bankiers-Erziehung nannte Freire die Art, fertiges Wissen in die Köpfe der Kinder einzulagern und wieder abzufragen, Bulimie-Lernen nennen es heute Studierende, wenn sie mit Halbbildung nur für Berufstätigkeit vorbereitet zu werden, statt selbst zu forschen und zu studieren. Von Alphabetisierung, „educación popular“, solidarischer Ökonomie, lokaler Politik, Bewegung arbeitender Kinder, Konzepte für viele Basisorganisationen, Bildung für nachhaltige Entwicklung, bis zu demokratischer Unternehmensführung gehen die „Auswirkungen“ der „befreienden Pädagogik“ von Paulo Freire. „Theater der Unterdrückten“ von Augusto Boal

Das „Theater der Unterdrückten“, das Augusto Boal im selben Kontext entwickelte, wie auch Teile der Befreiungstheologie, die „Partzipativen Haushalte“ (Bürgerhaushalte) sowie die Arbeit an der „Lernenden Organisation“ beziehen den Hintergrund von ihm, auch die Idee des Weltsozialforum entstand im Porto Alegre in dieser Bewegung. Die Arbeit am Tabu bezieht sich grundlegend auf die Themen der „Kultur des Schweigens„. Zuletzt schrieb Augusto Boal noch eine Aesthetik der Unterdrueckten, die seinen pädagogischen Weg zu einer gesellschaftlichen Sichtweise aus der Arbeit mit den Theater-Methoden beschreibt. siehe auch https://www.pfz.at/paulo-freire/augusto-boal/

100 Jahre Paulo Freire - 50 Jahre Pädagogik der Unterdrückten bei uns

Anfang der 1970er Jahre erschienen Artikel in Zeitschriften und hektografierte Blätter (den Spiritus-Geruch der clandestinen (geheimen) Erleuchtung im Gegensatz zu den muffigen Schulbüchern tragend) mit den Grund-Ideen der Pädagogik der Unterdrückten, und die Bewegungen im Trikont, der „3. Welt“ neben den aufgeteilten Blöcken von Kapitalismus und Diktatur des Proletariat im Kalten Krieg erschienen allen politisch denkfähigen Leuten damals befreiend: 100 Jahre Paulo Freire Planung von vorbereitenden zoom-Gesprächskreisen, ab März Workshops, Theater in allerlei Gruppen, Teilnahme an einem Kongress der alternativen Bildung, Hochschulprojekten, einer https://100-jahre-paulo-freire.blogspot.com https://kritische-praxis.blogspot.com https://paulo-freire-muenchen.blogspot.com https://100-jahre-paulo-freire.blogspot.com/2021/02/2021-feiern-wir-100-jahre-paulo-freire.html https://100-jahre-paulo-freire.blogspot.com/2021/02/warum-paulo-freire-mehr-denn-je-why.html

Helmut Wiegand Theater im Dialog

Was mir Paulo Freire sagt - oder was ich gern dazu wüsste

Der Name Paulo Freire wird oft als Kürzel für dialogische Bildung und das eigenständige Lernen der Kinder und Jugendlichen benutzt, und manche kennen noch die Geschichten von den Alfabetisierungsprogrammen … Kurz zur Sprache kommen sollten: bankiers-erziehung, Kultur des Schweigens, Mythen, und was dich interessiert: Für manche ist es auch der eher diffuse Hintergrund zum Theater der Unterdrückten von Augusto Boal, der ja öfter bei uns in München war, 1981, … 1995, 1997 und 1999? 24. Juni (präsent) im http://www.EineWelthaus.de München 25. Juni (digital) beide 20 Uhr Austausch „Wer bin ich und was habe ich mit Paulo Freire zu tun?“ (einmal als Präsenz- und einmal als digitale oder hybride Veranstaltung im EineWeltHaus) https://100-jahre-paulo-freire.blogspot.com http://eineweltnetz.org/lernen-fuer-eine-andere-zukunft-paulo-freire-gab-einige-grundlagen/

Einführungsveranstaltung: „Grundlagen und Schlüsselthemen in Freires Pädagogik der Befreiung“

13. Juli 19:00 Uhr als Präsenz-Veranstaltung im EWH – Terrasse und notfalls Raum 211 oder Saal - mit Ausweichtermin Mitte Juli Forumtheater mit und für NoSFo-Mitgliedsgruppen

23./26. Juli etwa 3-Stunden-WS am Freitagnachmittag (23.07., 15-18 Uhr), Vorstellung der Szene im Plenum am 26.07. (ab 19 Uhr, ca. 30min) Online-VA „Freire und (kommunale) Entwicklungszusammenarbeit“ im Rahmen der VA-Reihe „München global engagiert“ offen (19:00 – 20:30 Uhr) Online-VA „Die Rezeption und das Vermächtnis von Paulo Freire heute in Lateinamerika“ mit Oscar Jara (CEAAL) auf Spanisch evtl. mit deutscher Übersetzung mögliche Termine: 01./07./22./23./24. Oktober jeweils abends Online-VA mit Danny Carvajal und Carlos Fritzen SJ Online-VA mit Diego Kosbiau, der als Dozent an einer Uni in Florianopolis/Brasilien Lehramtsausbildung mit und nach Paulo Freire gestaltet Beitrag zu Paulo Freire beim nächsten Forum Globales Lernen Bayern (EWNB) 25.06. „Theater der Intervention“ Online-Veranstaltung

Jubiläumsfeier / Matinée im EWH

Sonntag 19.09. „Erfahrungen mit Paulo Freire“ Zeitlicher Rahmen: ab 11 Uhr bis 14 oder 15 Uhr, offenes Ende Radio Lora zum Paulo-Freire Jubiläum Mo 20.09. 20-21 Uhr • Titel: „100 Jahre Paulo Freire“ Alternativ: Gespräch mit „uns“ Kongress in Salzburg http://pfz.at) Fachgespräch „Globales Lernen, BNE und Paulo Freire“ im Rahmen der Tage der Bildungsalternativen 14./16.10. bildung.anders.machen

40 Jahre Erfahrungen mit Forumtheater :

Buchvorstellung zum neuen Forumtheater-Buch „Visionen der Veränderung – Forumtheater nach Augusto Boal“ (Simone Odierna / Janina Woll (Hg.), AG SPAK) • Details mit Simone Odierna

denn sie wissen nicht, was Liebe ist ... Ketzerbrevier eines Altöttinger Ministranten

Jubiläumsjahr „100 Jahre Paulo Freire“

Ideen und Planungen zu einer Veranstaltungsreihe (Stand 16.02.2021) Die Idee ist, anlässlich des 100. Geburtstages (am 19.09.1921) von Paulo Freire ein buntes Jahresprogramm zu veranstalten. Zentrale Gedanken der von Freire formulierten „Pädagogik der Unterdrückten“ finden sich in aktuellen Diskursen rund um „Veränderungslernen“, „transformative Bildung“ und (in Weiterentwicklung des Forumtheater nach Augusto Boal) in verschiedenen theaterpädagogischen Ansätzen wieder. 1994 war Freire auf Einladung des NoSFo bereits in München. Wir wollen nun die Auseinandersetzung mit Freire wieder aufleben lassen. „Mit Freire Integration und Migration denken“ und „Was hat mich/uns an Freire fasziniert?“ Mögliche Stichpunkte: Pädagogik ist nie neutral / Verhältnis Lehrende-Lernende / Der Lehrer ist Politiker und Künstler / Aktion-Reflexion / Lernen dekolonisieren (Beispiele aus der Alphabetisierungsarbeit in afrikanischen Ländern) / Freire & Gramsci / Die Welt lesen lernen / Was muss ich verlernen, um Neues lernen zu können? Bewusstseinsbildung vs. Berufsbildung Kultur des Schweigens Weltsozialforum Austausch zu Literatur (Idee: Politische Bildung bei Antonio Gramsci und Paulo Freire: Perspektiven einer verändernden Praxis, von Peter Mayo) evtl. über GEW / DGB-Bildungswerk weitere Kooperationspartner*innen? Der Lateinamerikanische Rat für Erwachsenenbildung (CEAAL) arbeitet intensiv zum Freire-Jubiläum und wird die Links zu deren Online-Veranstaltungen mit uns teilen (auf Spanisch). Zusammenstellung Literatur

Begegnung verändert Gesellschaft Aktuelle Literatur zu Paulo Freire - Publikation „Desaprender para transformar“: http://www.paulofreireberlin.org/es/projekte/publicacion/25 - Peter Mayo: „Politische Bildung bei Antonio Gramsci und Paulo Freire: Perspektiven einer verändernden Praxis“, 2007. - Zeitschrift „Widersprüche“, Heft 155 (März 2020): „Dialogisches Handeln und Forschen - Mit Freire die neoliberalen Verwüstungen überwinden“(mit Beiträgen von Philipp Andrae, Heinz-Peter Gerhardt, Dietlinde Gipser, Timm Kunstreich, Arnold Köpcke-Duttler, Ronald Lutz, Tilman Lutz, Jutta Lütjen, Michael May, Dirk Oesselmann, Manfred Peters, Marcel Schmidt, Tarkan Tek, Wolfgang Völker, Joachim Weber, Heiner Zillmer) - Harald Hahn: „Theater der Unterdrückten als Mosaikstück Gesellschaftlichen Wandels“ (2018) und natürlich das neue Buch von Ilse Schimpf-Herken und berliner Kolleginnen:

Begegnung verändert Gesellschaft

Begegnung verändert Gesellschaft

Begegnung verändert Gesellschaft Annette Nana Heidhues, Ilse Schimpf-Herken, Marianna Schmidt Quintero: Ansätze einer von Paulo Freire inspirierten Bildungspraxis – ab Februar lieferbar, bestellen und Inhaltsverzeichnis hier: https://www.ibidem.eu/media/catalog/product/9/7/9783838214450_inhaltsverzeichnis.pdf "Wenn wir bei der Evaluation unserer Kurse jedes inhaltliche Modul in einem Körperglied einer Raupe symbolisieren und unsere Bewertungen darin niederschreiben, tun wir dies in der Hoffnung, dass der Schmetterling, der am Ende in jedem einzelnen unserer Kursteilnehmer*innen entstanden ist, an einen anderen Ort fliegen ... " Read the full article

🏺 В некоторых древних трактатах содержится упоминание об особой минуте в сутках: минуте исполнения желаний. Жрецы умело пользовались этим тайным знанием. В эту магическую минуту можно посылать небесам свои запросы-желания. ⠀ 🕰️ Почему бы не воспользоваться этой минутой? ⠀ Она есть в каждых сутках, и в каждых - в разное время. Высчитать ее просто. Можно заранее отметить в календаре волшебную минуту каждого дня и прикинуть, как удобнее ею пользоваться. ⠀ 🕰️ ИТАК, допустим, сегодня 06.03 - значит, минута открытых небес сегодня будет в 6 часов 3 минуты. Число дня - это час, число месяца - это нужная нам минута. • За следующие от этого времени 60 секунд надо ярко и конкретно представить свое желание и попросить о его исполнении. Завтра- 07,03 минута исполнения желаний наступит в7 часов 3 минуты. ⠀ Важно! С 25 числа месяца (ведь в сутках всего 24 часа, а не 30) для определения волшебной минуты меняем числа наоборот: первое число - это минута, второй число - это час. Для наглядности: 25.06 - нужная минута наступает в 6 часов утра 25 минут. Сначала кажется - сложно просчитать, но когда вникнешь - все очень просто! ⠀ 🏺 Древние волхвы обнаружили эту волшебную минуту, делая сложнейшие астрологические и нумерологические расчеты - так гласит легенда. Но, вероятно, все было иначе: часто служители культов получали тайные знания прямо от Высшего Источника в минуты горячих молитв. ⠀ А какая нам с вами разница - откуда к людям пришло это знание? Пришло - и слава Богу! Удачи вам! Волшебничайте на Благо! ⠀ #ВалентинаКруглова #магиячисел #матрицасудьбы #нумерология #энергия_дня #аромамагия #Маг https://www.instagram.com/p/COVJ9X4pVPy/?igshid=1li8mr2vc4t9y

Global Realtors | Real Estate Consultant in Pune | Residential | Commercial

20210305

Quick update.  I got short SLV on 2/24 at 25.45, figuring the end of an upwards flat correction with a 3/C wave down to follow.  What does that translate to in terms of the futures (/SI)?  I don’t know exactly, but the range on that day was 27.40 - 28.10.

As I type this, /SI is down to 24.95, with only one up day since I shorted, having sliced cleanly through the uptrend line from 1/19 and then held decisively below it.  So I think I got the entrance timing down pretty well again.  The problem now, of course, is figuring out when to exit.

First obvious target zone is 24.01 - 24.29, which lines up nicely with the support at 24.04 that came in on 1/19.  That’s assuming that this down wave since 2/1 is a zigzag and no more.

If this is actually going to be an impulse, probably as the C wave of a larger flat down since 29.915 on 8/7/2020 (”I” on my charts), then we want to see it get down to about 22 or lower for best form, but it’s not strictly required.  We would need to derive additional guidance from how subwaves 3-4 play out.

I need to remember my time frame here, that all I was looking for on this was to catch the smaller 3/C wave to complete the zigzag.

As I type this, the decline in /SI is stalling out around the Ichimoku cloud bottom support at 25.03 and the 25.06 level that provided repeated support in late January, so some sort of bounce here would not be a shocker.