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Z-Score Strategy Backtest The author of this indicator is Veronique Valcu. The z-score (z) for a data item x measures the distance (in standard deviations StdDev) and direction of the item from its mean (U): z = (x-StdDev) / U A value of zero indicates that the data item x is equal to the mean U, while positive or negative values show that the data item is above (x>U) or below (x Values of +2 and -2 show that the data item is two standard deviations above or below the chosen mean, respectively, and over 95.5% of all data items are contained within these two horizontal references (see Figure 1). We substitute x with the closing price C, the mean U with simple moving average (SMA) of n periods (n), and StdDev with the standard deviation of closing prices for n periods, the above formula becomes: Z_score = (C - SMA(n)) / StdDev(C,n) The z-score indicator is not new, but its use can be seen as a supplement to Bollinger bands. It offers a simple way to assess the position of the price vis-a-vis its resistance and support levels expressed by the Bollinger Bands. In addition, crossings of z-score averages may signal the start or the end of a tradable trend. Traders may take a step further and look for stronger signals by identifying common crossing points of z-score, its average, and average of average. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
1
Strategy Stochastic Crossover Backtest This back testing strategy generates a long trade at the Open of the following bar when the %K line crosses below the %D line and both are above the Overbought level. It generates a short trade at the Open of the following bar when the %K line crosses above the %D line and both values are below the Oversold level. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
4
Strategy RSI Backtest The RSI is a very popular indicator that follows price activity. It calculates an average of the positive net changes, and an average of the negative net changes in the most recent bars, and it determines the ratio between these averages. The result is expressed as a number between 0 and 100. Commonly it is said that if the RSI has a low value, for example 30 or under, the symbol is oversold. And if the RSI has a high value, 70 for example, the symbol is overbought. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
9
Bill Williams. Awesome Oscillator (AO) Backtest This indicator is based on Bill Williams` recommendations from his book "New Trading Dimensions". We recommend this book to you as most useful reading. The wisdom, technical expertise, and skillful teaching style of Williams make it a truly revolutionary-level source. A must-have new book for stock and commodity traders. The 1st 2 chapters are somewhat of ramble where the author describes the "metaphysics" of trading. Still some good ideas are offered. The book references chaos theory, and leaves it up to the reader to believe whether "supercomputers" were used in formulating the various trading methods (the author wants to come across as an applied mathemetician, but he sure looks like a stock trader). There isn't any obvious connection with Chaos Theory - despite of the weak link between the title and content, the trading methodologies do work. Most readers think the author's systems to be a perfect filter and trigger for a short term trading system. He states a goal of 10%/month, but when these filters & axioms are correctly combined with a good momentum system, much more is a probable result. There's better written & more informative books out there for less money, but this author does have the "Holy Grail" of stock trading. A set of filters, axioms, and methods which are the "missing link" for any trading system which is based upon conventional indicators. This indicator plots the oscillator as a histogram where periods fit for buying are marked as blue, and periods fit for selling as red. If the current value of AC (Awesome Oscillator) is over the previous, the period is deemed fit for buying and the indicator is marked blue. If the AC values is not over the previous, the period is deemed fir for selling and the indicator is marked red. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
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Bill Williams. Awesome Oscillator (AC) Backtest This indicator plots the oscillator as a histogram where blue denotes periods suited for buying and red . for selling. If the current value of AO (Awesome Oscillator) is above previous, the period is considered suited for buying and the period is marked blue. If the AO value is not above previous, the period is considered suited for selling and the indicator marks it as red. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
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Historical Volatility Strategy Backtest Strategy buy when HVol above BuyBand and close position when HVol below CloseBand. Markets oscillate from periods of low volatility to high volatility and back. The author`s research indicates that after periods of extremely low volatility, volatility tends to increase and price may move sharply. This increase in volatility tends to correlate with the beginning of short- to intermediate-term moves in price. They have found that we can identify which markets are about to make such a move by measuring the historical volatility and the application of pattern recognition. The indicator is calculating as the standard deviation of day-to-day logarithmic closing price changes expressed as an annualized percentage. Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
2
Fisher Transform Indicator by Ehlers Backtest v 2.0 Market prices do not have a Gaussian probability density function as many traders think. Their probability curve is not bell-shaped. But trader can create a nearly Gaussian PDF for prices by normalizing them or creating a normalized indicator such as the relative strength index and applying the Fisher transform. Such a transformed output creates the peak swings as relatively rare events. Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x)) The sharp turning points of these peak swings clearly and unambiguously identify price reversals in a timely manner. For signal used zero. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
4
T7 JNSARUpdated code for the T7 JNSAR system earlier published here - Following updates made to the code 1. Buy / Sell arrows now appear when the corresponding conditions are met. 2. Support for Heikin-Ashi Candles added 3. Different Backtesting Position Sizing Algorithms added for evaluation Also am republishing the trading rules here again with some modification 1. Go Long when the daily close is above the JNSAR line. Go Short when the daily close is below the JNSAR line. JNSAR line is the varying green line overlayed over the price chart. Once a signal comes at market close enter in the direction of the signal @ market price @ next day market open. 2. Trade only Nifty Index. This system was developed and backtested only for NIFTY Index. So trade in its Futures or Options, as you may deem fit. My recommendation is to choose futures for simplicity. If you want to reduce the trading cost and go with options, trade with deep in the money options, preferably 2 strikes far from the spot price. 3. Trade all signals. Markets trend only 30-35% of the time and hence the system is only accurate to that extend. But system tends to make enough money, in this small trending window, to keep the overall profitability in good health. But one never knows when a big trend may come and when it comes its absolutely imperative that you take it. To ensure that, trade all signals and don't be choosy about what signals you are going to trade. Also I wouldn't recommend using your own analysis to trade this system. Too many drivers will crash the car. 4. Like all trend following systems, this system will have many whipsaws during flat markets along with large trade and account drawdowns. Also some months and even years may not be profitable. But to trade this system profitably, it is necessary to take these in one's stride and keep trading. As the backtester results from 1990 to 2016 proves, this system is profitable overall thus far. Take confidence from that objective fact. 5. Trade with only that amount of money you can afford to loose. Initial capital that you need to have to trade one lot of NIFTY should be atleast - (Margin Money required to take and hold 1 lot position + maximum drawdown amount per lot)*1.2. Be prepared to add more if need be, but the above formula will give a rough idea of what you need to have to start trading and be in the game always. 6. Place an After Market Order @ Market Price with your broker after market close so that you get to execute the trade next trading day @ Market open to capture near similar price as the daily open price seen on the chart. This execution mode will give you the best chance to minimise the slippage and mimic the backtester results as closely as practically possible. 7. Follow all the 6 rules above religiously, as if your life depends on it. If you cant, then don't trade this system; You will certainly loose money. Happy Trading !!! As always am looking out for your valuable feedback.
Pine Script®策略
由syam-mohan-vs提供
8
Fisher Transform Indicator by Ehlers Backtest Market prices do not have a Gaussian probability density function as many traders think. Their probability curve is not bell-shaped. But trader can create a nearly Gaussian PDF for prices by normalizing them or creating a normalized indicator such as the relative strength index and applying the Fisher transform. Such a transformed output creates the peak swings as relatively rare events. Fisher transform formula is: y = 0.5 * ln ((1+x)/(1-x)) The sharp turning points of these peak swings clearly and unambiguously identify price reversals in a timely manner. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
11
Ergotic TSI Strategy Backtest r - Length of first EMA smoothing of 1 day momentum 4 s - Length of second EMA smoothing of 1 day smoothing 8 u- Length of third EMA smoothing of 1 day momentum 6 Length of EMA signal line 3 Source of Ergotic TSI Close This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect... You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
1
Ergotic MDI (Mean Deviation Indicator) Bactest This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
Pine Script®策略
由HPotter提供
Ergotic MACD Strategy Backtest This is one of the techniques described by William Blau in his book "Momentum, Direction and Divergence" (1995). If you like to learn more, we advise you to read this book. His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. Blau`s indicator is like usual MACD, but it plots opposite of meaningof stndard MACD indicator. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading.
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由HPotter提供