Squeeze Momentum StrategyJust turned LazyBears' Squeeze Momentum Indicator into a strategy. You can understand how it works and pay credit to LazyBear here: uk (dot) tradingview (dot) com/v/nqQ1DT5a/
Best results seem to be on the 4h chart. Added LazyBear's Volume Weighted Moving Average indicator, which can be used (select in strategy properties) to more selectively long or short if desired. Defaults to using 100% of your initial strategy equity (just my preference), and this cannot be changed without recoding the strategy, but should be easy to do if desired. Added leverage, trade risk, backdate time window and trade type selector inputs.
Happy trading!
Not financial advice.
Search in scripts for "momentum"
Combo Backtest 123 Reversal & Dynamic Momentum Index This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second 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:
- For purpose educate only
- This script to change bars colors.
QuantCat 1H Momentum Strategy [Crypto]**NOTE: IF YOU DO NOT OWN TRADINGVIEW PRO YOUR STRATEGIES WILL TAKE DATA FROM A SMALLER SAMPLE SIZE, AND THUS GIVE LESS ACCURATE BACKTESTING RESULTS TO THE ONES WE SHOW (LINKS WITH STEP 3) AND OPTIMISED OUR STRATEGIES WITH**
QuantCat 15M Crypto Trend Strategy
This strategy will allow you to absolutely smash the Crypto/BTC pairs with a high hit rate and incredible risk/reward. We have optimised this strategy to work best for the x/BTC pairs on the 1H minute time frame. There are 7 pairs that we optimised the strategy to work for. There are a few main steps are as follows to use the strategy in it's most efficient manner-
1. Recommended % of equity per trade = 10-50%.
2. 1H Minute time frame needs to be applied (obvious, we know).
3. Pairs we used to optimise and backtest the strategy should ideally be used when using the strategy-
ETH/BTC - prntscr.com
XRP/BTC - prntscr.com
LTC/BTC - prntscr.com
BNB/BTC - prntscr.com
ADA/BTC - prntscr.com
NEO/BTC - prntscr.com
EOS/BTC - prntscr.com
We have a list of Visual and Technical features that are implemented into our strategy to make sure it is easy to use, consistent and giving it the highest chance of being profitable.
Visual Features
Colored Candles- aesthetics to notify you of an alert.
Stop Loss Horizontal Line- a red line to show you where the stop-loss has been placed.
Take Profit Line- horizontal line to show your where you take profits
Technical Features
Trend filtering- Our algorithm prevents signals being created in sideways periods to mitigate the chance of fake outs and larger run ups.
Momentum confirmation- Every time a position is entered; strict conditions have been met to maximize the chance of predicting the right move.
If you have discord alerts access, be sure to watch out in the discord for entries!
simple momentumIt's a simple momentum script:
- go long if A positive closes in a row, exit after B negative closes
- go short if C negative closes in a row, exit after D positive closes
15MEX Momentum ScalperAlpha product project in development. Uses a combination of MACD and T3-CCI with tweaked settings to catch directional momentum and scalp a small move. Strategy is quantity of trades over quality of trades to build profits.
Use this strategy for 15-min Bitmex scalping on XBT contracts only. Recommend 100k contract size or less; backtested with 100k contracts.
Market enter, then use post-only limit exits and stop losses.
Setting is pre-optimized for 0.5% tp target and 0.5% sl of entry price. Recommend default 3 bars as basis for confirming recent MACD crossover as well as default 0.618 Fibonacci ratio as the T3-CCI basis.
Default risk level setting is approximately 2-3 trades a day. You can double the amount to 4-5 trades a day by enabling Aggressive mode. This may lead to larger profits and more entries, but with more frequent stop losses.
Future version will include trailing TPs/stops. Still undergoing optimization and refinement.
Yellow Momentum StrategyStrategy version of Yellow Momentum indicator. Works on all time frames, good for crypto and stocks.
Strategy based on Squeeze Momentum Indicator [LazyBear]This Strategy is based on LazyBear Squeeze Momentum Indicator.
I added some custom feature and filters.
You can customize a lot of features to get a profitable strategy.
Here is a link to original study.
Please use comment section for any feedback.
Next improvement (only to whom is interested to this script and follows me): study with alerts on multiple tickers all at one. Leave a comment if you want to have access to study.
********************************** IMPORTANT*******************************
I have developed an expert advisor for metatrader4 (MT4) and for jforex platform: results of expert advisor form 2015-01-01 to 2018-11-25 are very good with low drawdown and good profit.
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Stochastic Momentum multi Str.The Stochastic Momentum Index ( Stoch ) normalizes price as a percentage between 0 and 100. Normally two lines are plotted, the %K line and a moving average of the %K which is called %D. A slow stochastic can be created by initially smoothing the %K line with a moving average before it is displayed. The length of this smoothing is set in the Slow K Period. Without the initial smoothing ( i.e., setting the Slow K Period to a value of 1 ) the %K becomes the 'Raw %K' value, and is also known as a fast stochastic .
Stochastic Momentum multi. strategyThe Stochastic Momentum Index (Stoch MTM, SMI) is based on the Stochastic Oscillator. The difference is that the Stochastic Oscillator calculates where the close is relative to the high/low range, while the SMI calculates where the close is relative to the midpoint of the high/low range. The values of the SMI range from +100 to -100. When the close is greater than the midpoint, the SMI is above zero, when the close is less than than the midpoint, the SMI is below zero.
The SMI is interpreted the same way as the Stochastic Oscillator. Extreme high/low SMI values indicate overbought/oversold conditions. A buy signal is generated when the SMI rises above -50, or when it crosses above the signal line. A sell signal is generated when the SMI falls below +50, or when it crosses below the signal line. Also look for divergence with the price to signal the end of a trend or indicate a false trend.
The Stochastic Momentum Index was developed by William Blau and was introduced in his article in the January, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
Marker bullish trending momentum swing trade strategyLooking for bullish trending upward momentum, then selling at the top. Stop losses and max drawdown configurable based risk profile and stock/ETF. Please follow me if you like this signal strategy.
Babypips: Inside Bar Momentum StrategyThe strategy contained in this post comes courtesy of babypips (.com), an excellent resource for all thing forex related. If you are new to trading, the site is definitely worth checking out!
Code commentary and an introduction to Inside Bars are available for this post on the Backtest-Rookies (.com) website.
Note: If you are interested in custom development services, please check out our services page on the Backtest-Rookies site.
Strategy Overview
Inside Bar Momentum Strategy.
Inside Bar Detection
Position sizing based on stoploss distance ( Note: Based on equity and assumes that the account currency is the counter currency.
Stop buys for entries
Takeprofit / Stoplosses for exits
Control Stopbuy, Takeprofit and Stoploss targets with inputs
Control Backtest start/end dates
Noro's Squeeze Momentum Strategy v1.1This strategy uses 3 different indicators:
1) Squeeze Momentum Indicator (by LazyBear)
2) Color of a candle as filter of signals
3) Candle body size as filter of signals (SMA Body)
Futures momentumCompares momentum in futures prices with momentum in underlying exchanges, and plots similarly to MACD. Nevermind the stop losses, they are mostly random.
Squeeze Momentum on Reversal Strategy** From the original work of LazyBear ** Thanks for his Squeeze Momentum indicator
This strategy gives acceptable result on EUR/USD - 1H chart with default parameters
Lazy MomentumLazy Momentum Strategy is a trend trading strategy. There are 3 steps in the strategy:
1. Identify trend
2. Momentum Signal
3. Money management
Lazy Momentum3 Simple Criteria for Successful Trading:
Follow the trend
Ride the momentum
Risk management
All the above 3 must have criteria are included in the Lazy Momentum indicator
MULTIPLE TIME-FRAME STRATEGY(TREND, MOMENTUM, ENTRY) Hey everyone, this is one strategy that I have found profitable over time. It is a multiple time frame strategy that utilizes 3 time-frames. Highest time-frame is the trend, medium time-frame is the momentum and short time-frame is the entry point.
Long Term:
- If closed candle is above entry then we are looking for longs, otherwise we are looking for shorts
Medium Term:
- If Stoch SmoothK is above or below SmoothK and the momentum matches long term trend then we look for entries.
Short Term:
- If a moving average crossover(long)/crossunder(short) occurs then place a trade in the direction of the trend.
Close Trade:
- Trade is closed when the Medium term SmoothK Crosses under/above SmoothD.
You can mess with the settings to get the best Profit Factor / Percent Profit that matches your plan.
Best of luck!
SPY Master v1.0This is a simple swing trading algorithm that uses a fast RSI-EMA to trigger buy/cover signals and a slow RSI-EMA to trigger sell/short signals for SPY, an xchange-traded fund for the S&P 500.
The idea behind this strategy follows the premise that most profitable momentum trades usually occur during periods when price is trending up or down. Periods of flat price actions are usually where most unprofitable trades occur. Because we cannot predict exactly when trending periods will occur, the algorithm basically bets money on all trade opportunities during all market conditions. Despite an accuracy rate of only 40%, the algorithm's asymmetric risk/reward profile allows the average winner to be 2x the average loser. The end result is a positive (profitable) net payout.
TRADING RULES:
Buy/Cover = EMA3(RSI2) cross> 50
Sell/Short = EMA5(RSI2) cross< 50
BACKTEST SETTINGS:
- Period = March 2011 - Present
- Initial capital = $10,000
- Dividends excluded
- Trading costs excluded
PERFORMANCE COMPARISON:
There are 657 trades, which means 1,314 orders. Assuming each order costs $2 (what I pay for at Interactive Brokers), total trading costs should be $2,628.
-SPY (buy & hold) = 132.73 ---> 193.22 = +45.57% (dividends excluded)
-SPY Master v1.0 = $12,649 - $2,628 = $10,021 = +100.21%
DISCLAIMER: None of my ideas and posts are investment advice. Past performance is not an indication of future results. This strategy was constructed with the benefit of hindsight and its future performance cannot be guaranteed.
MomentumBreak#1//condicion de compra: k>80
buycondition=crossover(k,oversold)
calculo de tamaño de la posicion segun el ultimo low dentro de lo n periodos anteriores, tambien usado como stop
salida por trailing stop
MomentumThe strategy uses EMA200, ADX/DMI, RSI, and volume. Pivot levels and Heikin-Ashi ensure safe entries, while cooldowns and opposite-locks prevent overtrading. Exits are managed with ATR trailing stops and trend-reversal signals.






















