A.I.Driven TradersAI Model Trades for 20190612The entry and exit levels here are NOT derived from any specific indicator but are coming from our A.I. driven proprietary models.
This is an attempt at exploring the trading community here at TradingView and sharing our daily trading plans published at our site with the community here in the form a Pine Script - just starting and learning this platform. Please help point out any obvious errors or gotchas committed in the scripts. Thanks and have a great trading day!
**** The Trading Plan Published for today ****
>>>> Medium-Frequency Models: <<<<< For today, Wednesday 06/12, our medium-frequency models indicate using the 2895 as a pivot point - opening a long on a break above 2895, and opening a short on a break below 2895 (wait for a close on at least a five minute chart to determine the break), both sides with a 9-point trailing stop.
Note: For the trades to trigger, the breaks should occur during the regular session hours starting at 9:30am ET. By design, these models do NOT open any new positions after 3:45pm. Only one open position at any given time.
>>>>> Aggressive Intraday Models: <<<<< For today, Wednesday 06/12, our aggressive intraday models indicate going long on a break above 2892 or 2875 with an 6-point trailing stop, and going short on a break below 2887 or 2878 with an 8-point trailing stop.
Note: For the trades to trigger, the breaks should occur during regular session hours starting at 9:30am ET. Due to the intraday nature of these aggressive models, they indicate closing any open trades at 3:55pm and remaining flat into the session close. No opening of new positions after 3:45pm. Only one open position at any given time.
M-oscillator
Connors RSI Strategy v1.0 Modified EntriesThis Script is a request by trader acmeinvest
Find the original script here
QuantNomad - RSI Strategy - LTCUSDT - 5mReally nice performance of Simple RSI Strategy for LTCUSDT ( Binance ) 5m chart.
Params: RSI Length: 3, RSI OverSold level: 47, RSI OverBought Level: 56
Performance: 391% profit, 2400 trades, 42% prof, 14.6% dd , 0.65 sharpe.
I think this strategy can be a really nice base for a pretty good strategy. We have quite a lot of trades here you can add additional filters that will improve strategy a bit.
And remember:
Past performance does not guarantee future results.
QuantNomad - RSI Strategy - NKE - 5mReally good performance of Simple RSI Strategy for Nike (NKE) 5m chart.
Params: RSI Length: 30, RSI OverSold level: 45, RSI OverBought Level: 60
Performance:57% profit, 112 trades, 73% prof, 6.7% dd, 1.36 sharpe.
And remember:
Past performance does not guarantee future results.
Combo Backtest 123 Reversal & Bear Power This is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
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
Bear Power Indicator
To get more information please see "Bull And Bear Balance Indicator"
by Vadim Gimelfarb.
WARNING:
- For purpose educate only
- This script to change bars colors.
Noro's DI StrategyThe trading system uses indicator DI
The limit parameter reduces quantity of unprofitable signals
For:
- crypto
- timeframes: H4, D1, D7
CR Plain True Sight V1.0Plain True Sight tries to go with the trend patiently.
For the next gen of True Sight, see:
It doesn't mean that the MTF True Sight (next gen) is better, it just depends on your use-case.
CR MTF True Sight V1.0MTF True Sight is the next generation of my Plain True Sight strategy. While Plain True Sight is more patient, MTF is designed to respond with more agility.
Combo Backtest 123 Reversal & (H-L)/C Histogram This is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
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 histogram displays (high-low)/close
Can be applied to any time frame.
WARNING:
- For purpose educate only
- This script to change bars colors.
Combo Backtest 123 Reversal & Bandpass FilterThis is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
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
The related article is copyrighted material from
Stocks & Commodities Mar 2010
You can use in the xPrice any series: Open, High, Low, Close, HL2, HLC3, OHLC4 and ect...
WARNING:
- For purpose educate only
- This script to change bars colors.
SPX-1D (Strategy) - S&P daily modelWith 2000 likes I will publish the "Study version" that allows you to get alerts and and pre-alerts (triggered a few minutes before the end of the previous day).
Be advised that this model applied to real data will get lower factors. My guesstimate would be a profit factor between 3 and 7, for a percent profitability around 66%.
Invest wisely, a model can only predict some of the predictable moves. In case of doubt, get out of the risk.
Combo Backtest 123 Reversal & Average True Range Trailing Stops This is combo strategies for get
a cumulative signal. Result signal will return 1 if two strategies
is long, -1 if all strategies is short and 0 if signals of strategies is not equal.
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.
Secon strategy
Average True Range Trailing Stops Strategy, by Sylvain Vervoort
The related article is copyrighted material from Stocks & Commodities Jun 2009
WARNING:
- For purpose educate only
- This script to change bars colors.
Arrow Pro - Versão 2.0 DK Trader Essa versão do arrow pro foi atualizada para retirar ainda mais o ruídos da primeira versão, trazendo maior taxa de acertos e também diminuindo os sinais falsos. Este indicador será liberado para os alunos e os compradores da primeira versão sem nenhum custo. Em breve também ficará disponível para a plataforma ProfitChart.
Kozlod - RSI Strategy - 1 minuteStarted to play with very simple strategies. Trying to find ones with optimal parameters which work well for certain symbols/timeframe.
Found that basic RSI strategy without any position management with high RSI length (65 in this script) works pretty good for 1m chart for few stocks.
It's also not bad for AAPL , SPY .
It might not work very good on it's not but can give you a pretty good base for more complicated indicators.
And remember:
Past performance does not guarantee future results.
Average True Range StrategyAverage True Range Strategy by Elec
Average True Range Trailing Stops Strategy
Average True Range Strategy
Typically, the Average True Range (ATR) is based on 14 periods and can be calculated on an intraday, daily, weekly or monthly basis. For this example, the ATR will be based on daily data. Because there must be a beginning, the first TR value is simply the High minus the Low, and the first 14-day ATR is the average of the daily TR values for the last 14 days. After that, Wilder sought to smooth the data by incorporating the previous period's ATR value.
Current ATR = / 14
- Multiply the previous 14-day ATR by 13.
- Add the most recent day's TR value.
- Divide the total by 14