Página 11 | Resultados búsqueda de scripts para "META股价历史数据"

OHLC_yesterday_and_lastweek By using this indicator, you can see these points. 1. Yesterday's OHLC + half price, today's limit price 2. Last week's OHLC + half price 3. 5 EMAs Especially effective for foreign exchange, metals and indices.

ATR, Kijun-Sen, %R Strategy [No Nonsense FX]A strategy that employs the No Nonsense FX method as described by VP. 1. Risk: ATR 2. Baseline: Kijun-Sen 3. Confirmation #1: Williams % Range 4. Volume: TBD 5. Confirmation #2: TBD 6. Exit: TBD Give me a follow if you enjoy and please PM me for more info/collabs! Notes: The defaults seem to work on all pairs Please check the "two digit" box if running on JPY or Metals If you have any ideas for a volume indicator, confirmation, and/or exit leave a comment!

Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy . If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!) OPERATING PRINCIPLE The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes. In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source! Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2) I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy. The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5) BEFORE WE BEGIN 1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities. Cryptos are largely untested. 2. Please run it on these time frames: M15 to D. Anything outside this range will likely fail. HOW TO USE AND SUCCEED 1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01. 2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to discover the most efficient period to use. 3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown. 4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible. 5. Finally, change the source! Typically, close is the best option, but I have run into cases where high yielded the highest returns and win rate. 6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts. ADVANCED You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor results if the TP is set to 300 and SL is 50. If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time! Cheers and good luck trading! -DasanC (1)www.mesasoftware.com (2)www.jamesgoulding.com (3) Cosine IFM (4) I-Q IFM (5) Averaging IFM IFM stands for Instantaneous frequency measurement

Adaptive Zero Lag EMA v2 This is my most successful strategy to date! Please enjoy and join the Open Source movement by sharing your code and ideas online! OPERATING PRINCIPLE The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes. In fact, I'm using his Zero Lag EMA (ZLEMA) as a baseline indicator as well as some code snippets he has made public (1). God bless open source! Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2) I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy. The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5) BEFORE WE BEGIN 1. This strategy only runs on "normal" FX pairs (EURUSD, GBPJPY, AUDUSD ...) and will fail on Metals or Commodities. Cryptos are largely untested. 2. Please run it on these time frames: M15 to D. Anything outside this range will likely fail. HOW TO USE AND SUCCEED 1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01. 2. Test each setting under adaptive method . If you want to leave it Off , then I'd recommend using some kind of IFM (see my links below) to discover the most efficient period to use. 3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor (PF) and drawdown. 4. Now, begin incrementing threshold . The goal is to have PF above 2 and a drawdown as low as possible. 5. Finally, change the source ! Typically, close is the best option, but I have run into cases where high yielded the highest returns and win rate. 6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts. ADVANCED You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor results if the TP is set to 300 and SL is 50. If you are trading a pair that has a long Dominant Cycle Period , then you may increase Max Period to allow the IFM to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time! Cheers and good luck trading! -DasanC PS - This code doesn't repaint or have future-leak, which was present in Pinescript v2. PPS - Believe me! These returns are typical! Sometimes you must push aside the "if it's too good to be true..." mindset that society has ingrained in you. Do you really believe the most successful pass up opportunities before investigating them? ;) (1) Ehlers & Ric Zero Lag EMA (2) Measuring Cycles by Ehlers (3) Cosine IFM (4) Inphase Quadrature IFM (5) Averaging IFM

Smart Money Index (SMI) Backtest Attention: If you would to use this indicator on the ES, you should have intraday data 60min in your account. Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Smart Money Index (SMI) Strategy Attention: If you would to use this indicator on the ES, you should have intraday data 60min in your account. Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future. WARNING: - This script to change bars colors.

Smart Money Index (SMI)Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future.