long = ema fast > ema slow, dmi+ > dmi- , dmi+ > 20, adx > 20 short = opposite of the first 3 Cheers!
The atto-Trend is based on a high-level statistical analysis to fit price movements with acceptable smoothness and accuracy as a baseline function. Due to high volatile in markets, this fitting calculation still needs a (re-)smoothing step with a modified Tillson-T3 approach. The fitted and smoothed data is tracking with ATR based trailing stop mechanism. The...
FIBAUS Noodler V5.1 + Signals Named by my daughter, the noodle analysis does a harmonic and Fibonacci analysis on price as it moves through time. THE NOODLER finds hidden support and resistance areas making it easier to find buy and sell opportunities. There is also a sentiment indicator which can be used with the Fib based noodles to determine optimum buy...
A strategy according to schaff trend cycle oscillator.
Simple Strategy. Use this strategy with Heiken Ashi candlesticks. RULES: Enter Long ONE BAR after the green Vertical Signal Line plots, and sell as soon as a red Vertical Signal Line. Vice versa. You get it. ;)
Hello trading family! Just wanted to give a quick write up and share the new code for the RSI Alligator Strategy. I amended it to show every crossover signal, weak and strong, so we can accurately gauge its effectiveness. Having played with this for a couple hours now I have learned a few things -Using Heikin Ashi seems to smooth it out a bit and provides about...
Strategy for backtesting for the CCI-Trend indicator link to the CCI-Trend: explanation for indicator: CCI-Trend is a trend trailing strategy based on sign alternation of the current CCI value. The upper and lower bands are defined by hl2, ATR, and factor of ATR. The main TrendLine is combination of conditions of CCI-above-zero and CCI-below-zero. The main...
Backtester for RSI alligator is Williams Alligator strategy using Relative Strength Index to predict entries Original script can be found at
Buy/Sell Altcoins strategy. Based on moving averages, divergences, price and volume
The strategy uses the Gidra SRSI indicator and MTF Supertrend indicator. It can be used with 1h (1st timeframe) / 1D (2nd timeframe), for example, or you can choose your own parameters
Hi all, I have created the attached strategy for my own use primarily but thought I would share it as my experience to date is that it is profitable in particular circumstances, so thought I would open this out to the community to see if it can be successfully applied on any other pairs and timeframes. I have protected the source code at this time - mainly...
Playing around with some ideas. Hull MA's have good entries and exits on their own, but together with ATR I find them to be even more solid. Only tested with crypto. Best results on daily timeframe and long only. Stop loss, trailing and pyramiding code is functional. There is also a long only / short only option in the bottom of the settings. Let me know what you think
True Strength Index, but Exponential Moving Average taken out and replaced with Hull Moving Average increase the values for increased timeframes i found good on 1hour chart 700,700,700 (instead of 420)