Finite Volume Elements (FVE) Strategy 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.
WARNING:
- This script to change bars colors.
Strategy
Ergodic CSI Strategy 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.
WARNING:
- This script to change bars colors.
GBTC Premium to NAV IndicatorWhen bitcoin is in an uptrend, a very profitable strategy is to buy GBTC when premium to NAV is low, and sell when it reaches extremes. This can be far more profitable than buying bitcoin itself.
Ease of Movement (EOM) Strategy 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.
WARNING:
- This script to change bars colors.
Dynamic Pivot Point Strategy 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.
WARNING:
- This script to change bars colors.
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.
Dynamic Momentum Index (DMI) Strategy 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.
WARNING:
- This script to change bars colors.
Multiple Ema 8/13/21/55 by melihgulerIn one graph, 4 different periods include EMA (8/13/21/55). It is not recommended for short-term investments. You can get efficient results using at least 4 hours chart.
It is not an investment recommendation. Your use is at your own risk.
CMOaDisparity Index Strategy The related article is copyrighted material from Stocks & Commodities Dec 2009
My strategy modification.
WARNING:
- This script to change bars colors.
Linda Raschke's Holy GrailAnother script based on Linda Raschke's strategy with the same name from her book about swing trading.
AutoView - Hodl to SodlWrite your own strategy and use Hodl to Sodl to send Alerts for when to buy & sell, and automatically plot your anticipated buys/sells to the chart. A must have for AutoView users. Requires Pine Script coding. Not compatible with "Strategy Tester" tab and "Paper Trading" tab in TradingView.
Hodl-Sodl itself is not a strategy. It is a framework for building AutoView strategies. For demonstration purposes, the image featured with this script shows an example of a very simple CCI strategy (and not a very good one), but you would presumably replace that with your own ideas. If you'd like a little help plugging in your own strategy, contact jdhadwin for custom coding.
Stupid strategyStrategy with simple stop-loss and take-profit in percentage. If last trade was a successful one then repeat it. If not successful - do a reversal trade.
MACD+EMA crossovers Strategy customIt is a Strategy to use EMA crossover and MACD to decide when "buy" and when "sell", the key is spend some time "tuning" the parameters and using the simulation tool to find the best parameters for EMA and MACD there are 6 parameters, but with Excel and patience you could find the best configuration for the past and apply it to the future and see.
Simple profitable trading strategyThis strategy has three components.
Philakones EMAs are a sequence of five fibonacci EMAs. They range from 55 candles (green) to 8 candles (red) in length. A strong trend or breakout is marked by the emas appearing in sequence of their length from 8 to 55 or vice versa. These EMAs are also used to signal an exit. Only two EMAs are used for exit signals - when the 13 EMA crosses over/under the 55 EMA.
RSI gives a bullish signal when 40 > rsi > 70. Exit signals are oversold (30) or overbought (70)
Stochastics give a bullish signal when stoch < 80 and an exit signal when > 95.
Results include 3 ticks of slippage and taker fees of .002. Provides a pretty smooth equity curve with a 73% win rate and beats buy and hold by than 10x (returns about 60x overall) since start of 2017.
MACD Strategy custom for cryptosIt is a MACD with strategy simulation implemented to "tune" the MACD parameters for cryptos, it only use long and close strategy, not short
Try to go long at a moving averageA simple experimental strategy that tries to go long at a moving average bounce / support level, and looks for upside.
John Carter's Buy/Sell Scalper V2After a couple adjustments, double signals are now being ignore.
Here's how this script works:
Based entirely on a John Carter scalping setup, a candle will be painted purple if the next two closes are in a opposite direction of the past trend.
Green triangles indicates that the reversal is bullish, red triangles indicates that the reversal is bearish. Both are entry/exit points if you want to follow this set up.
Personally, I find this setup to work best in trending days, but it does a great job on choppy days if you use it as a confirmation.
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.
Average Directional Movement Index Rating Strategy 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.
WARNING:
- This script to change bars colors.
Vertical Horizontal Filter BacktestVertical 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.
Vertical Horizontal Filter Strategy 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.
WARNING:
- This script to change bars colors.
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.
