Traderhalai — Indicators and Strategies

Reverse Ehler Instantaneous Trendline - TraderHalai This script uses a reverse function of the famous Ehler Instantaneous Trendline to calculate the source price required in order to change from Bullish to bearish From my analysis, the reverse price does appear to be rather choppy, though it is 100% accurate. This is because Ehler's Instantaneous Trendline tends to remain trending for longer periods of time with above average hold periods. The main suitability for this would be higher level timeframes, such as Weekly, 5 daily, 3 daily. From my findings Smoothed Heikin Ashi Trend, tends to provide better risk-adjusted returns across most timeframes (Higher return to drawdown ratio) As I have spent a bit of time getting the reverse function mathematics to work, I decided to publish this as open source for the benefit, scrutiny and for further development by the TradingView community anyways. Enjoy!

Smoothed Heikin Ashi Trend on Chart - TraderHalai BACKTEST Smoothed Heikin Ashi Trend on chart - Backtest This is a backtest of the Smoothed Heikin Ashi Trend indicator, which computes the reverse candle close price required to flip a Heikin Ashi trend from red to green and vice versa. The original indicator can be found in the scripts section of my profile. This particular back test uses this indicator with a Trend following paradigm with a percentage-based stop loss.   Note, that backtesting performance is not always indicative of future performance, but it does provide some basis for further development and walk-forward / live testing.  Testing was performed on Bitcoin , as this is a primary target market for me to use this kind of strategy. Sample Backtesting results as of 10th June 2022: Backtesting parameters:  Position size: 10% of equity  Long stop: 1% below entry  Short stop: 1% above entry Repainting: Off  Smoothing: SMA Period: 10  8 Hour: Number of Trades: 1046   Gross Return: 249.27 % CAGR Return: 14.04 %  Max Drawdown: 7.9 % Win percentage: 28.01 %  Profit Factor (Expectancy): 2.019   Average Loss: 0.33 %   Average Win: 1.69 %  Average Time for Loss: 1 day  Average Time for Win: 5.33 days    1 Day:   Number of Trades: 429   Gross Return: 458.4 % CAGR Return: 15.76 %  Max Drawdown: 6.37 %  Profit Factor (Expectancy): 2.804  Average Loss: 0.8 %   Average Win: 7.2 % Average Time for Loss: 3 days  Average Time for Win: 16 days    5 Day: Number of Trades: 69   Gross Return: 1614.9 % CAGR Return: 26.7 %  Max Drawdown: 5.7 %  Profit Factor (Expectancy): 10.451  Average Loss: 3.64 %  Average Win: 81.17 %  Average Time for Loss: 15 days  Average Time for Win: 85 days Analysis: The strategy is typical amongst trend following strategies with a less regular win rate, but where profits are more significant than losses. Most of the losses are in sideways, low volatility markets. This strategy performs better on higher timeframes, where it shows a positive expectancy of the strategy.   The average win was positively impacted by Bitcoin’s earlier smaller market cap, as the percentage wins earlier were higher.   Overall the strategy shows potential for further development and may be suitable for walk-forward testing and out of sample analysis to be considered for a demo trading account. Note in an actual trading setup, you may wish to use this with volatility filters, combined with support resistance zones for a better setup. As always, this post/indicator/strategy is not financial advice, and please do your due diligence before trading this live. Original indicator links: On chart version - Oscillator version - Update - 27/06/2022 Unfortunately, It appears that the original script had been taken down due to auto-moderation because of concerns with no slippage / commission. I have since adjusted the backtest, and re-uploaded to include the following to address these concerns, and show that I am genuinely trying to give back to the community and not mislead anyone: 1) Include commission of 0.1% - to match Binance's maker fees prior to moving to a fee-less model. 2) Include slippage of 10 ticks (This is a realistic slippage figure from searching online for most crypto exchanges) 3) Adjust account balance to 10,000 - since most of us are not millionaires. The rest of the backtesting parameters are comparable to previous results: Backtesting parameters:  Initial capital: 10000 dollars Position size: 10% of equity  Long stop: 2% below entry  Short stop: 2% above entry Repainting: Off  Smoothing: SMA Period: 10  Slippage: 10 ticks Commission: 0.1% This script still remains to shows viability / profitablity on higher term timeframes (with slightly higher drawdown), and I have included the backtest report below to document my findings: 8 Hour: Number of Trades: 1082   Gross Return: 233.02% CAGR Return: 14.04 %  Max Drawdown: 7.9 % Win percentage: 25.6%  Profit Factor (Expectancy): 1.627 Average Loss: 0.46 %   Average Win: 2.18 %  Average Time for Loss: 1.33 day  Average Time for Win: 7.33 days Once again, please do your own research and due dillegence before trading this live. This post is for education and information purposes only, and should not be taken as financial advice.

Reverse Stoch [BApig Gift] - on Panel Mssive credit to Motgench, Balipour and Wugamlo for this script. This script is all of their good work. It is basically just the non-on chart version which I've slightly tweaked off their script. This can be useful to reduce the clutter on the chart itself. Releasing it in the hope that it can be useful for the community Enjoy!