Bullish Pattern
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Index 12b-1 fee, 68–69 combining with Western analysis, 3M, 157 122–123 continuation day, 116 ABC of Stock Speculation, 157 doji, 115 accrual accounting, 18 dragonfl y doji, 116–117 accumulated depreciation, 46–47 engulfi ng pattern, 120, 121 accumulation phase, 158 gravestone doji, 116, 117, 118 accumulation/distribution line, hammer, 119 146–147 hanging man, 119 Adaptive Market Hypothesis, 155 harami, 119, 120 Altria, 29, 127, 185–186 indicators 120 Amazon.com, 151 long, 116, 117, 118 amortization, 47, 49 long-legged doji, 118 annual report, 44–46 lower shadow, 115 ascending triangle, 137–138, 140 marubozu, 116 at the money, 192 real body, 114–115 AT&T, 185–186 segments illustrated, 114 shadows, 114 back-end sales load, 67–68 short,116, 117 balance sheet, 46–50 spinning top, 118–119 balanced mutual funds, 70–71 squeeze alert, 121, 122, 123 basket of stocks, 63 tails, 114 blue chip companies, 34 three black crows, 122, 123 Boeing, 134–135 three white soldiers, 122, 123 book value, 169 trend-based, 117–118 breadth, 82–83, 97 upper shadow, 115 breakaway gap, 144 wicks, 114 break-even rate, 16–17 capital assets, 48, 49 breakout, 83–84, 105–106 capitalization-based funds, 71 Buffett, Warren, 152 capitalization-weighted average, 157 bull and bear markets,COPYRIGHTED 81, 174–175 Caterpillar, MATERIAL 52–54, 55, 57, 58, 59, 131 Bureau of Labor Statistics (BLS), 15 CBOE Volatility Index (VIX), 170, 171 Buy-and-hold strategy, 32, 204–205 Chaikin Money Flow (CMF), 146 buy to open/sell to open, 96 channel, 131–132 charting calendar spreads, 200–201 -
Stock Market Prediction Using Candlestick Chart
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 01 | Jan 2020 www.irjet.net p-ISSN: 2395-0072 Stock Market Prediction using Candlestick Chart Razik Batliwala1, Muddassir Khan2, Durvesh Bhushan3 1,2Information Technology, PadmabhushanVasantdada Patil Pratishthan’s College of Engineering, Sion Mumbai 3Vaity Information Technology PadmabhushanVasantdada Patil Pratishthan’s College of Engineering, Sion Mumbai ------------------------------------------------------------------------***------------------------------------------------------------------------- Abstract—The stock market is a place where shares of publicly listed companies are traded. There shares based on brought and sold on this basis of there stock. The price of stocks and assets are an important part of the economy. There are many factors that affect share prices. However there is no specific cause for the prices to rise or fall. This makes investment subject to various risks. We proposed a novel method for prediction of stocks price on the basis of statistical data and making of candlestick chart for up to 3-4 days to find if investment are beneficial or loss of money, It is also beneficial to analyzing in future stock. In this paper we developing (LCS) Longest Common Subsequence Algorithm to retrieve numerical sequences that partially match. It also use for real time service provider to provide stock market sentiments. Keywords—Stock price prediction; Technical analysis; Candlestick charts; Longest common subsequence algorithm for numbers; Multi numerical attributes; Nse,Bse stock average. 1. INTRODUCTION Stock market prediction techniques play a crucial role to bring more people into market and encourage markets as a whole. Fundamental analysis and technical analysis are two popular approaches to successful stock trading. -
A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine
data Article A Novel Hybrid Model for Stock Price Forecasting Based on Metaheuristics and Support Vector Machine Mojtaba Sedighi 1,2,* , Hossein Jahangirnia 3, Mohsen Gharakhani 4 and Saeed Farahani Fard 5 1 Department of Finance, Qom Branch, Islamic Azad University, Qom 3749113191, Iran 2 Young Researchers and Elite Club, Qom Branch, Islamic Azad University, Qom 88447678, Iran 3 Department of Accounting, Qom Branch, Islamic Azad University, Qom 3749113191, Iran; [email protected] 4 Department of Finance, Iranian Institute of Higher Education, Tehran 13445353, Iran; [email protected] 5 Department of Management and Economics, University of Qom, Qom 3716146611, Iran; [email protected] * Correspondence: [email protected] Received: 2 May 2019; Accepted: 20 May 2019; Published: 22 May 2019 Abstract: This paper intends to present a new model for the accurate forecast of the stock’s future price. Stock price forecasting is one of the most complicated issues in view of the high fluctuation of the stock exchange and also it is a key issue for traders and investors. Many predicting models were upgraded by academy investigators to predict stock price. Despite this, after reviewing the past research, there are several negative aspects in the previous approaches, namely: (1) stringent statistical hypotheses are essential; (2) human interventions take part in predicting process; and (3) an appropriate range is complex to be discovered. Due to the problems mentioned, we plan to provide a new integrated approach based on Artificial Bee Colony (ABC), Adaptive Neuro-Fuzzy Inference System (ANFIS), and Support Vector Machine (SVM). -
Japanese Candlestick Patterns
Presents Japanese Candlestick Patterns www.ForexMasterMethod.com www.ForexMasterMethod.com RISK DISCLOSURE STATEMENT / DISCLAIMER AGREEMENT Trading any financial market involves risk. This course and all and any of its contents are neither a solicitation nor an offer to Buy/Sell any financial market. The contents of this course are for general information and educational purposes only (contents shall also mean the website http://www.forexmastermethod.com or any website the content is hosted on, and any email correspondence or newsletters or postings related to such website). Every effort has been made to accurately represent this product and its potential. There is no guarantee that you will earn any money using the techniques, ideas and software in these materials. Examples in these materials are not to be interpreted as a promise or guarantee of earnings. Earning potential is entirely dependent on the person using our product, ideas and techniques. We do not purport this to be a “get rich scheme.” Although every attempt has been made to assure accuracy, we do not give any express or implied warranty as to its accuracy. We do not accept any liability for error or omission. Examples are provided for illustrative purposes only and should not be construed as investment advice or strategy. No representation is being made that any account or trader will or is likely to achieve profits or losses similar to those discussed in this report. Past performance is not indicative of future results. By purchasing the content, subscribing to our mailing list or using the website or contents of the website or materials provided herewith, you will be deemed to have accepted these terms and conditions in full as appear also on our site, as do our full earnings disclaimer and privacy policy and CFTC disclaimer and rule 4.41 to be read herewith. -
Three Advancing White Soldiers
Continuation Patterns 143 DAILY BAR 1990 CQG INC. -- . 2021 -H= 2021 . ... 1991 -L= 2002 . .A= -20 . 2150 ... 7/23/90 . Hammer . 2021 .L= -C= 2002 . 3 EXHIBIT 7.35. Dow Jones Utilities-1990, Daily (Falling Three Methods). wrong. Wait until the pattern is formed, or confirmed, before acting on its implications! Exhibit 7.35 is a classic falling three method whose bearish implica- tion was negated by the hammer. If the hammer was not enough to tell one the was ending more proof was added with the white ses- sion following the hammer. This completed a bullish engulfing pattern. THREE ADVANCING WHITE SOLDIERS Like much of the candlestick terminology, this pattern has a military association. It is known as the three advancing white soldiers (see Exhibit 7.36) or, more commonly, three white soldiers. It is a group of three white candlesticks with consecutively higher closes. If this pattern appears at a low price area after a period of stable prices, then it is a sign of strength ahead. The three white soldiers are a gradual and steady rise with each white line opening within or near the prior session's white real body. Each of the white candlesticks should close at, or near, its highs. It is a 144 The Basics EXHIBIT 7.36. Three Advancing EXHIBIT 7.37. Advance Block EXHIBIT 7.38. Stalled Pattern White Soldiers healthy method for the market to rise (although if the white candlesticks are very extended, one should be cautious about an overbought market). If the second and third, or just the third candlestick, show signs of weakening it is an advance block pattern (see Exhibit 7.37). -
Data Visualization and Analysis
HTML5 Financial Charts Data visualization and analysis Xinfinit’s advanced HTML5 charting tool is also available separately from the managed data container and can be licensed for use with other tools and used in conjunction with any editor. It includes a comprehensive library of over sixty technical indictors, additional ones can easily be developed and added on request. 2 Features Analysis Tools Trading from Chart Trend Channel Drawing Instrument Selection Circle Drawing Chart Duration Rectangle Drawing Chart Intervals Fibonacci Patterns Chart Styles (Line, OHLC etc.) Andrew’s Pitchfork Comparison Regression Line and Channel Percentage (Y-axis) Up and Down arrows Log (Y-axis) Text box Show Volume Save Template Show Data values Load Template Show Last Value Save Show Cross Hair Load Show Cross Hair with Last Show Min / Max Show / Hide History panel Show Previous Close Technical Indicators Show News Flags Zooming Data Streaming Full Screen Print Select Tool Horizontal Divider Trend tool Volume by Price Horizonal Line Drawing Book Volumes 3 Features Technical Indicators Acceleration/Deceleration Oscillator Elliot Wave Oscillator Accumulation Distribution Line Envelopes Aroon Oscilltor Fast Stochastic Oscillator Aroon Up/Down Full Stochastic Oscillator Average Directional Index GMMA Average True Range GMMA Oscillator Awesome Oscillator Highest High Bearish Engulfing Historical Volatility Bollinger Band Width Ichimoku Kinko Hyo Bollinger Bands Keltner Indicator Bullish Engulfing Know Sure Thing Chaikin Money Flow Lowest Low Chaikin Oscillator -
Trading Guide
Tim Trush & Julie Lavrin Introducing MAGIC FOREX CANDLESTICKS Trading Guide Your guide to financial freedom. © Tim Trush, Julie Lavrin, T&J Profit Club, 2017, All rights reserved https://tinyurl.com/forexmp Table Of Contents Chapter I: Introduction to candlesticks I.1. Understanding the candlestick chart 3 Most traders focus purely on technical indicators and they don't realize how valuable the original candlesticks are. I.2. Candlestick patterns really work! 4 When a candlestick reversal pattern appears, you should exit position before it's too late! Chapter II: High profit candlestick patterns II.1. Bullish reversal patterns 6 This category of candlestick patterns signals a potential trend reversal from bearish to bullish. II.2. Bullish continuation patterns 8 Bullish continuation patterns signal that the established trend will continue. II.3. Bearish reversal patterns 9 This category of candlestick patterns signals a potential trend reversal from bullish to bearish. II.4. Bearish continuation patterns 11 This category of candlestick patterns signals a potential trend reversal from bullish to bearish. Chapter III: How to find out the market trend? 12 The Heiken Ashi indicator is a popular tool that helps to identify the trend. The disadvantage of this approach is that it does not include consolidation. Chapter IV: Simple scalping strategy IV.1. Wow, Lucky Spike! 14 Everyone can learn it, use it, make money with it. There are traders who make a living trading just this pattern. IV.2. Take a profit now! 15 When to enter, where to place Stop Loss and when to exit. IV.3. Examples 15 The next examples show you not only trend reversal signals, but the Lucky Spike concept helps you to identify when the correction is over and the main trend is going to recover. -
Candlestick Patterns
INTRODUCTION TO CANDLESTICK PATTERNS Learning to Read Basic Candlestick Patterns www.thinkmarkets.com CANDLESTICKS TECHNICAL ANALYSIS Contents Risk Warning ..................................................................................................................................... 2 What are Candlesticks? ...................................................................................................................... 3 Why do Candlesticks Work? ............................................................................................................. 5 What are Candlesticks? ...................................................................................................................... 6 Doji .................................................................................................................................................... 6 Hammer.............................................................................................................................................. 7 Hanging Man ..................................................................................................................................... 8 Shooting Star ...................................................................................................................................... 8 Checkmate.......................................................................................................................................... 9 Evening Star .................................................................................................................................... -
Indicators Nison Power Concept EAST & WEST CONFIRMATION
Instructors: Syl Desaulniers, Nison Certified Trainer™ Tracy Knudsen, Nison Certified Trainer™ Improve Your Process… Get BIG Results KAIZEN TRADING APPRENTICESHIP Bonus Session Address student trades, concerns, follow-up questions Analysis of current market conditions Awarding of Kaizen Technician™ certification Strict Candlestick Patterns Qualifications for Strict Candle Patterns: - Shape of Candle Lines or Pattern - Trend requirement is the same for strict and non-strict patterns Important Concept with Candle Lines/Patterns: - Confirmation: Using a move after the initial candle signal to validate a move - Less important with East/West Confirmation Candlestick Lines and Patterns In Order of Candle Progression - Least to Most Bullish - Least to Most Bearish - Risk/Reward Tradeoff comes with candle progression Strict Candlestick Patterns - Bullish Strict Candlestick Patterns - Bearish Trend Progression/Multiple Time Frames Monthly, Weekly, Daily, 4 Hour, 2 Hour, 60 Minute, 30 Minute, 15 Minute… • Involves monitoring the same instrument across different frequencies (or time compressions) • No real limit as to how many frequencies can be monitored or which specific ones to choose • Trades placed in direction of longer term trend have higher probability of success • There are general guidelines that most practitioners will follow Trend Progression/Multiple Time Frames • Looking at a stock through different time frames can be confusing as a new trader. Why? • Because each time frame looks different! • A stock may look great on the daily chart, but look horrible on a 5 minute chart. • How many timeframes should a trader use? • Using three different periods gives a broad enough reading on the market • using fewer than this can result in a considerable loss of data • while using more typically provides redundant analysis. -
A Survey of Forex and Stock Price Prediction Using Deep Learning
Review A Survey of Forex and Stock Price Prediction Using Deep Learning Zexin Hu †, Yiqi Zhao † and Matloob Khushi * School of Computer Science, The University of Sydney, Building J12/1 Cleveland St., Camperdown, NSW 2006, Australia; [email protected] (Z.H.); [email protected] (Y.Z.) * Correspondence: [email protected] † The authors contributed equally; both authors should be considered the first author. Abstract: Predictions of stock and foreign exchange (Forex) have always been a hot and profitable area of study. Deep learning applications have been proven to yield better accuracy and return in the field of financial prediction and forecasting. In this survey, we selected papers from the Digital Bibliography & Library Project (DBLP) database for comparison and analysis. We classified papers according to different deep learning methods, which included Convolutional neural network (CNN); Long Short-Term Memory (LSTM); Deep neural network (DNN); Recurrent Neural Network (RNN); Reinforcement Learning; and other deep learning methods such as Hybrid Attention Networks (HAN), self-paced learning mechanism (NLP), and Wavenet. Furthermore, this paper reviews the dataset, variable, model, and results of each article. The survey used presents the results through the most used performance metrics: Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), Mean Absolute Error (MAE), Mean Square Error (MSE), accuracy, Sharpe ratio, and return rate. We identified that recent models combining LSTM with other methods, for example, DNN, are widely researched. Reinforcement learning and other deep learning methods yielded great returns and performances. We conclude that, in recent years, the trend of using deep-learning-based methods for financial modeling is rising exponentially. -
Timeframeset
QuantShare Programming Language Table of contents 1. QuantShare Language 1.1 Application Info 1.1.1 NbGroups 1.1.2 NbIndexes 1.1.3 NbIndustries 1.1.4 NbInGroup 1.1.5 NbInIndex 1.1.6 NbInIndustry 1.1.7 NbInMarket 1.1.8 NbInSector 1.1.9 NbMarkets 1.1.10 NbSectors 1.2 Candlestick Pattern 1.2.1 Cdl2crows (0) 1.2.2 Cdl2crows (1) 1.2.3 Cdl3blackcrows (0) 1.2.4 Cdl3blackcrows (1) 1.2.5 Cdl3inside (0) 1.2.6 Cdl3inside (1) 1.2.7 Cdl3linestrike (0) 1.2.8 Cdl3linestrike (1) 1.2.9 Cdl3outside (0) 1.2.10 Cdl3outside (1) 1.2.11 Cdl3staRsinsouth (0) 1.2.12 Cdl3staRsinsouth (1) 1.2.13 Cdl3whitesoldiers (0) 1.2.14 Cdl3whitesoldiers (1) 1.2.15 CdlAbandonedbaby (0) 1.2.16 CdlAbandonedbaby (1) 1.2.17 CdlAdvanceblock (0) 1.2.18 CdlAdvanceblock (1) 1.2.19 CdlBelthold (0) 1.2.20 CdlBelthold (1) 1.2.21 CdlBreakaway (0) 1.2.22 CdlBreakaway (1) 1.2.23 CdlClosingmarubozu (0) 1.2.24 CdlClosingmarubozu (1) 1.2.25 CdlConcealbabyswall (0) 1.2.26 CdlConcealbabyswall (1) 1.2.27 CdlCounterattack (0) 1.2.28 CdlCounterattack (1) 1.2.29 CdlDarkcloudcover (0) 1.2.30 CdlDarkcloudcover (1) 1.2.31 CdlDoji (0) 1.2.32 CdlDoji (1) 1.2.33 CdlDojistar (0) 1.2.34 CdlDojistar (1) 1.2.35 CdlDragonflydoji (0) 1.2.36 CdlDragonflydoji (1) 1.2.37 CdlEngulfing (0) 1.2.38 CdlEngulfing (1) 1.2.39 CdlEveningdojistar (0) 1.2.40 CdlEveningdojistar (1) 1.2.41 CdlEveningstar (0) 1.2.42 CdlEveningstar (1) 1.2.43 CdlGapsidesidewhite (0) 1.2.44 CdlGapsidesidewhite (1) 1.2.45 CdlGravestonedoji (0) 1.2.46 CdlGravestonedoji (1) 1.2.47 CdlHammer (0) 1.2.48 CdlHammer (1) 1.2.49 CdlHangingman (0) 1.2.50 -
Harnessing Market Volatility
HOW TO FIND OPPORTUNITY IN FAST -MOVING MARKETS HARNESSING MARKET VOLATILITY One of the benefits of trading forex is the opportunity to find profit potential in both rising and falling markets. Since the market can go up or down at a moment’s notice, volatility can work to your advantage—if you know how to use it. We’ll show you some technical and fundamental analysis that can help you harness market volatility, as well as some risk management techniques that can help you capture potential profit and limit losses. An example of market volatility The following table illustrates the percentage change of different instruments since October 2007 and July 2008. Oil prices plummeted more than 50 percent in that time frame while the EUR/USD, GBP/JPY and USD/JPY fell approximately 20 percent. The daily trading ranges increased significantly as few hundred point swings in the Dow became the norm. The same was true for currencies where the average daily range expanded significantly. The average true range for many currency pairs doubled in that period. PAIR OCTOBER 1, CHANGE JULY 1, CHANGE OCTO- 2007 2008 BER 23, 2008 EUR/USD 1.4282 -10% 1.5827 -19% 1.2820 GBP/USD 2.0495 -21% 2.0000 -19% 1.6105 USD/JPY 106.39 -9% 123.29 -21% 97.32 DJIA 14116 -39% 11408 -25% 8545 SP500 1549 -42% 1285 -30% 897 FTSE 6467 -37% 5626 -28% 4046 DAX 7922 -44% 6395 -30% 4456 NIKKEI 16773 -50% 13515 -37% 8461 ASX 6568 -39% 5232 -24% 3974 OIL 82.0 -18% 143.3 -53% 68 GOLD 747.4 -6% 948.3 -26% 705 VIX 18.44 272% 25.14 173% 68.61 20% change >50% change DETERMINING TRADING STRATEGIES To increase the probability of successful trades, traders must understand whether the market is in trend or range.