Algotrading

Market Facilitation Index (MFI) Backtest The Market Facilitation Index is an indicator that relates price range to volume and measures the efficency of price movement. Use the indicator to determine if the market is trending. If the Market Facilitation Index increased, then the market is facilitating trade and is more efficient, implying that the market is trending. If the Market Facilitation Index decreased, then the market is becoming less efficient, which may indicate a trading range is developing that may be a trend reversal. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Keltner Channel Backtest The Keltner Channel, a classic indicator of technical analysis developed by Chester Keltner in 1960. The indicator is a bit like Bollinger Bands and Envelopes. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Woodie Pivot Points Backtest Simply input the vales of the high, low and closing price of the previous period to calculate the Woodie pivot point and the associated resistance and support levels for the present period. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Volatility Backtest The Volatility function measures the market volatility by plotting a smoothed average of the True Range. It returns an average of the TrueRange over a specific number of bars, giving higher weight to the TrueRange of the most recent bar. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

TFS: MBO Backtest MBO indicator is the third component of TFS trading system. This indicator was developed by Bryan Strain and Mark Whitley. The idea of MBO is similar to moving average convergence/divergence (MACD) indicator. It is calculated by subtracting the 200-day moving average from the 25-day moving average. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

TEMA1 Backtest This study plots the TEMA1 indicator. TEMA1 ia s triple MA (Moving Average), and is calculated as 3*MA - (3*MA(MA)) + (MA(MA(MA))) You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

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.

Strategy

Percent difference between price and MA Backtest Percent difference between price and MA You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Modified Price-Volume Trend Backtest The related article is copyrighted material from Stocks & Commodities. Strategy by HPotter. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Last High and Low Level Backtest This script shows a high and low period value. SelectPeriod - Day or Week or Month and etc. LookBackPeriods - Shift levels 0 - current period, 1 - previous and etc. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

High and Low Levels Backtest This script shows a high and low period value. Width - width of lines SelectPeriod - Day or Week or Month and etc. LookBack - Shift levels 0 - current period, 1 - previous and etc. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Floor Pivot Points Backtest The name ‘Floor-Trader Pivot,’ came from the fact that Pivot points can be calculated quickly, on the fly using price data from the previous day as an input. Although time-frames of less than a day can be used, Pivots are commonly plotted on the Daily Chart; using price data from the previous day’s trading activity. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Finite Volume Elements (FVE) Backtest The FVE is a pure volume indicator. Unlike most of the other indicators (except OBV), price change doesn?t come into the equation for the FVE (price is not multiplied by volume), but is only used to determine whether money is flowing in or out of the stock. This is contrary to the current trend in the design of modern money flow indicators. The author decided against a price-volume indicator for the following reasons: - A pure volume indicator has more power to contradict. - The number of buyers or sellers (which is assessed by volume) will be the same, regardless of the price fluctuation. - Price-volume indicators tend to spike excessively at breakouts or breakdowns. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Ergodic CSI 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. This indicator plots Ergotic CSI and smoothed Ergotic CSI to filter out noise. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Ease of Movement (EOM) Backtest This indicator gauges the magnitude of price and volume movement. The indicator returns both positive and negative values where a positive value means the market has moved up from yesterday's value and a negative value means the market has moved down. A large positive or large negative value indicates a large move in price and/or lighter volume. A small positive or small negative value indicates a small move in price and/or heavier volume. A positive or negative numeric value. A positive value means the market has moved up from yesterday's value, whereas, a negative value means the market has moved down. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Dynamic Pivot Point Backtest This Pivot points is calculated on the current day. Pivot points simply took the high, low, and closing price from the previous period and divided by 3 to find the pivot. From this pivot, traders would then base their calculations for three support, and three resistance levels. The calculation for the most basic flavor of pivot points, known as ‘floor-trader pivots’, along with their support and resistance levels. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Dynamic Momentum Index (DMI) Backtest This indicator plots Dynamic Momentum Index indicator. The Dynamic Momentum Index (DMI) was developed by Tushar Chande and Stanley Kroll. The indicator is covered in detail in their book The New Technical Trader. The DMI is identical to Welles Wilder`s Relative Strength Index except the number of periods is variable rather than fixed. The variability of the time periods used in the DMI is controlled by the recent volatility of prices. The more volatile the prices, the more sensitive the DMI is to price changes. In other words, the DMI will use more time periods during quiet markets, and less during active markets. The maximum time periods the DMI can reach is 30 and the minimum is 3. This calculation method is similar to the Variable Moving Average, also developed by Tushar Chande. The advantage of using a variable length time period when calculating the RSI is that it overcomes the negative effects of smoothing, which often obscure short-term moves. The volatility index used in controlling the time periods in the DMI is based on a calculation using a five period standard deviation and a ten period average of the standard deviation. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

CMOaDisparity Index Backtest The related article is copyrighted materialfrom Stocks & Commodities Dec 2009 My strategy modification. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Average Directional Movement Index Rating Backtest The Average Directional Movement Index Rating (ADXR) measures the strength of the Average Directional Movement Index (ADX). It's calculated by taking the average of the current ADX and the ADX from one time period before (time periods can vary, but the most typical period used is 14 days). Like the ADX, the ADXR ranges from values of 0 to 100 and reflects strengthening and weakening trends. However, because it represents an average of ADX, values don't fluctuate as dramatically and some analysts believe the indicator helps better display trends in volatile markets. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Vertical Horizontal Filter Backtest Vertical Horizontal Filter was initiated by Adam White. It was first published in a magazine called “Issues of Futures” in August, 1991. The Vertical Horizontal Filter (VHF) is a very common Indicator used by traders to find out the Phase of a Price Trend. Normally, a price trend can be in a Trending Phase or a Congestion Phase/Choppy Movement Phase. Adam White created this particular Technical Indicator to determine whether prices are trending in a particular direction or are they going through a transitional period. He used it to measure the range of Futures available in the market. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

STARC Bands Backtest A type of technical indicator that is created by plotting two bands around a short-term simple moving average (SMA) of an underlying asset's price. The upper band is created by adding a value of the average true range (ATR) - a popular indicator used by technical traders - to the moving average. The lower band is created by subtracting a value of the ATR from the SMA. STARC is an acronym for Stoller Average Range Channels. The indicator is named after its creator, Manning Stoller. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Rainbow Oscillator Backtest Ever since the people concluded that stock market price movements are not random or chaotic, but follow specific trends that can be forecasted, they tried to develop different tools or procedures that could help them identify those trends. And one of those financial indicators is the Rainbow Oscillator Indicator. The Rainbow Oscillator Indicator is relatively new, originally introduced in 1997, and it is used to forecast the changes of trend direction. As market prices go up and down, the oscillator appears as a direction of the trend, but also as the safety of the market and the depth of that trend. As the rainbow grows in width, the current trend gives signs of continuity, and if the value of the oscillator goes beyond 80, the market becomes more and more unstable, being prone to a sudden reversal. When prices move towards the rainbow and the oscillator becomes more and more flat, the market tends to remain more stable and the bandwidth decreases. Still, if the oscillator value goes below 20, the market is again, prone to sudden reversals. The safest bandwidth value where the market is stable is between 20 and 80, in the Rainbow Oscillator indicator value. The depth a certain price has on a chart and into the rainbow can be used to judge the strength of the move. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

Qstick Indicator Backtest A technical indicator developed by Tushar Chande to numerically identify trends in candlestick charting. It is calculated by taking an 'n' period moving average of the difference between the open and closing prices. A Qstick value greater than zero means that the majority of the last 'n' days have been up, indicating that buying pressure has been increasing. Transaction signals come from when the Qstick indicator crosses through the zero line. Crossing above zero is used as the entry signal because it is indicating that buying pressure is increasing, while sell signals come from the indicator crossing down through zero. In addition, an 'n' period moving average of the Qstick values can be drawn to act as a signal line. Transaction signals are then generated when the Qstick value crosses through the trigger line. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.

Strategy

In-depth global business and economic analysis Comprehensive trading education and market insights