Pattern Day Trade Rule
I would suggest following your quote and having a read of the web page supplied, that buys then sells or sells short then buys (the same security on the same day) four or more times in five business days, ... So it is a two way transaction that counts as 'one'.
Very common question. There is no any rule of thumb. This solely depends on your trading strategy. I will share my own experience. My day starts with the daily chart, if I have a signal, either I open my position or I check 30 minute chart to make sure that it won't go too much against my trade. and I open my position. If I am waiting for the signal the minimum timeframe is 4 hours for me. I use 30 minutes to find the best time to enter the market. So, this is totally something special for my trading strategy, that is why those things can change based on the different strategies. I also check weekly and monthly charts to confirm trend. I have been busy with forex since 2007 and I am a verified investor on etoro At the end, I never use 1,5,15,60 minute charts as they are against my strategy. Nothing is guaranteed - candlesticks are not crystal balls nor is any part of technical analysis. Candlestick patterns used correctly and in combination with other western technical indicators can increase the probability of a trade going into the derived direction, but they are not a guarantee - which is why you should always use stop losses with your candlestick or any trading. In saying that, another candlestick pattern that can provide high probability trades is the Doji, or a combination of Dojis in a row at a market extreme. Note that both Engulfing patterns and Dojis work best at price extremes (highs and lows) and in combination with other technical indicators such as an overbought momentum indicator at a market high, or an oversold momentum indicator at a market low. EDIT - An Example Here is a sample trade I placed on the 17th October and am currently 15.6% in profit on. See the chart below as it shows taking the trade on the open of the following day after a bullish engulfing pattern appeared at the bottom of a downtrend on the 16th in combination with the Slow Stochastic crossing over in the oversold region (below 20%). I would consider this a high probability trade and have placed an initial stop loss at 10% below my open price in case the trade went against me. As the price moved up I moved the 10% stop loss up as a trailing stop loss. My profit target is set at 25% or $4.00. What it is trying to describe is the psychology around the current price of the stock.  In candlestick charts for example, if you get what is called a Bearish Engulfing Candle (where the open is higher than the previous day's close and the close is lower than the previous day's open) at the top of an uptrend, this could mean that the top may have been reached and the bears are taking over the bulls. A Bearish Engulfing candle is seen as a bearish reversal pattern, as the bulls start the day by opening the stock at a higher price than yesterday's close, but by the end of the day the bears have taken over as the price drops below yesterday's open. This reversal pattern can be even more pronounced and effective if it coincides with other chart indicators, such as an overbought momentum indicator. If you want to learn more look up about the Psychology of the market and Candlestick Charting. I'll just add this: In the best hedge funds and proprietary trading funds, stock selection is approached very scientifically in order to minimize losses/maximize gains. Researchers think of a trading idea and carefully test it to see which methods of stock selection work and how well, and finally they combine them. Every day researchers update their models based on the past performance of each indicator.  All this is just too much work to be done manually. Firms use machine learning methods to understand markets. They try to figure out what is normal, what did not happen correctly at a specific time, what will happen in future. For instance, they use deep learning networks to look at unlabeled data, and figure out what is normal and what is not. These networks can analyze an unstructured haystack of noise, and separate out the signal. This is very relevant to finance and markets because finding the patterns and anomalies in market data has been the bread and butter of traders for decades. Deep learning networks give us applications like feature learning. By 'features,' I'm referring to certain attributes in data that indicate an event. By anticipating them, we can help predict future price movements. New technology is allowing us to break new ground in managing risk, to be a-typical and manage risk in ever-improving ways. It's the responsibility of every trader, whether working for themselves or others, to take advantage of this technology to improve the collective investing experience. I care very deeply about this. I have many close friends, in the finance world and without, who have lost large amounts of money to poor trade tools and lack of transparency. You'd need millions of dollars to trade the number of shares it would take to profit from these penny variations.  What you bring up here is the way high frequency firms front-run trades and profit on these pennies. Say you have a trade commission of $5.  Every time you buy you pay $5, every time you sell you pay $5.  So you need a gain in excess of $10, a 10% gain on $100.  Now if you wanted to trade on a penny movement from $100 to $100.01, you need to have bought 1,000 shares totaling $100,000 for the $0.01 price movement to cover your commission costs.  If you had $1,000,000 to put at risk, that $0.01 price movement would net you $90 after commission, $10,000,000 would have made you $990.  You need much larger gains at the retail level because commissions will equate to a significant percentage of the money you're investing. Very large trading entities have much different arrangements and costs with the exchanges.  They might not pay a fee on each transaction but something that more closely resembles a subscription fee, and costs something that more closely resembles a house. Now to your point, catching these price movements and profiting.  The way high frequency trading firms purportedly make money relates to having a very low latency network connection to a particular exchange.  Their very low latency/very fast network connection lets them see orders and transact orders before other parties.   Say some stock has an ask at $101 x 1,000 shares.  The next depth is $101.10.  You see a market buy order come in for 1,000 shares and place a buy order for 1,000 shares at $101 which hits the exchange first, then immediately place a sell order at $101.09, changing the ask from $101.00 to $101.09 and selling in to the market order for a gain of $0.09 per share. I've never seen a dividend, split or other corporate action during the day, but I have seen trade suspended a few times when something big happened. The market opening price is not in general the same as the close of the previous day. It can gap up or down and does frequently. I don't know of an api to find out if the dividend was cash or stock, but stock dividends are a lot less common. "As mentioned in other answers, you find out by reading the Rulebook for that commodity and exchange.  I'll quote a couple of random passages to show how they vary: For CME (Chicago Mercantile Exchange) Random Length Lumber Futures, the delivery is ornate: Seller shall give his Notice of Intent to Deliver to the Clearing   House prior to 12:00 noon (on any Business Day after termination of   trading in the contract month. 20103.D. Seller's Duties If the buyer's designated destination is east of the western boundaries of North Dakota, South Dakota, Nebraska,   Kansas, Texas and Oklahoma, and the western boundary of Manitoba,   Canada, the seller shall follow the buyer's shipping instructions   within seven (7) Business Days after receipt of such instructions. In   addition, the seller shall prepay the actual freight charges and bill   the buyer, through the Clearing House, the lowest published freight   rate for 73-foot railcars from Prince George, British Columbia to the   buyer's destination. If the lowest published freight rate from Prince   George, British Columbia to buyer's destination is a rate per one   hundred pounds, the seller shall bill the buyer on the weight basis of   1,650 pounds per thousand board feet. The term ""lowest published   freight rate"" refers only to the lowest published ""general through   rate"" and not to rates published in any other rate class. If, however, the buyer’s destination is outside of the aforementioned   area, the seller shall follow the same procedures except that the   seller shall have the right to change the point of origin and/or   originating carrier within 2 Business Days after receipt of buyer’s   original shipping instructions. If a change of origin and/or   originating carrier is made, the seller shall then follow the buyer's   revised instructions within seven (7) Business Days after receipt of   such instructions. If the freight rate to the buyer's destination is not published, the   freight charge shall be negotiated between the buyer and seller in   accordance with industry practice. Any additional freight charges resulting from diversion by the buyer   in excess of the actual charges for shipment to the destination   specified in the shipping instructions submitted to the Clearing House   are the responsibility of the buyer. Any reduction in freight charges   that may result from a diversion is not subject to billing adjustment   through the Clearing House. Any applicable surcharges noted by the   rail carrier shall be considered as part of the freight rate and can   be billed to the buyer through the CME Clearing House. If within two (2) Business Days of the receipt of the Notice of Intent   the buyer has not designated a destination, or if during that time the   buyer and seller fail to agree on a negotiated freight charge, the   seller shall treat the destination as Chicago, Illinois. If the buyer   does not designate a carrier or routing, the seller shall select same   according to normal trade practices. To complete delivery, the seller   must deposit with the Clearing House a Delivery Notice, a uniform   straight bill of lading (or a copy thereof) and written information   specifying grade, a tally of pieces of each length, board feet by   sizes and total board feet. The foregoing documents must be received   by the Clearing House postmarked within fourteen (14) Business Days of   the date of receipt of shipping instructions. In addition, within one (1) Business Day after acceptance by the   railroad, the Clearing House must receive information (via a telephone   call, facsimile or electronic transmission) from the seller giving the   car number, piece count by length, unit size, total board footage and   date of acceptance. The ￼date of acceptance by the railroad is the   date of the bill of lading, signed and/or stamped by the originating   carrier, except when determined otherwise by the Clearing House. For some commodities you can't get physical delivery (for instance, Cheese futures won't deliver piles of cheese to your door, for reasons that may be obvious) 6003.A. Final Settlement There shall be no delivery of cheese in settlement of this contract.   All contracts open as of the termination of trading shall be cash   settled based upon the USDA monthly weighted average price in the U.S.   for cheese. The reported USDA monthly weighted average price for   cheese uses both 40 pound cheddar block and 500 pound barrel prices. CME gold futures will deliver to a licensed depository, so you would have to arrange for delivery from the depository (they'll issue you a warrant), assuming you really want a 100 troy oz. bar of gold: CONTRACT SPECIFICATIONS The contract for delivery on futures contracts shall be one hundred   (100) troy ounces of gold with a weight tolerance of 5% either higher   or lower. Gold delivered under this contract shall assay to a minimum   of 995 fineness and must be a brand approved by the Exchange. Gold meeting all of the following specifications shall be deliverable   in satisfaction of futures contract delivery obligations under this   rule: Either one (1) 100 troy ounce bar, or three (3) one (1) kilo bars. Gold must consist of one or more of the Exchange’s Brand marks, as provided in Chapter 7, current at the date of the delivery of   contract. Each bar of Eligible gold must have the weight, fineness, bar number, and brand mark clearly incised on the bar. The weight may be   in troy ounces or grams. If the weight is in grams, it must be   converted to troy ounces for documentation purposes by dividing the   weight in grams by 31.1035 and rounding to the nearest one hundredth   of a troy ounce. All documentation must illustrate the weight in troy   ounces. Each Warrant issued by a Depository shall reference the serial number and name of the Producer of each bar. Each assay certificate issued by an Assayer shall certify that each bar of gold in the lot assays no less than 995 fineness and weight of   each bar and the name of the Producer that produced each bar. Gold must be delivered to a Depository by a Carrier as follows: a. directly from a Producer; b. directly from an Assayer, provided that such gold is accompanied by   an assay certificate of such Assayer; or c. directly from another Depository; provided, that such gold was   placed in such other Depository pursuant to paragraphs (a) or (b)   above." Prior to 1975, commissions for trading stock on the NYSE were fixed at 1% of the amount of the trade.  In 1975, the SEC made fixed commission rates illegal, giving rise to discount brokers offering much reduced commission rates.  Simultaneously, Electronic Communications Networks (ECNs) gained market share as alternative venues for executing trades.  The increased competition led to further declines in commissions.  Finally, as technology was widely adopted on Wall Street and human beings were largely taken out of the order execution process, commissions fell further.  This had the effect of both drawing in new participants and increasing the rate of transactions of the existing participants (see Day Trading, which was largely unheard of prior to the technology revolution of the 1990s).  Most recently, the exchanges themselves have shifted their business model to depend on high frequency traders, and the proportion of trades accounted for by HFT firms ballooned from under 10% in the early 2000s to over 50% today.