Algorithm
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---- Scalper
---- Day Trader
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or
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VBIV Condensing Clouds (+Forecast)Buy VBIV for its race to the COVID-19 vaccine. Bollinger Bands are condensing for a breakout, as the Ichimoku Cloud(s) raise. (As mentioned in prior posts), the Ichimoku Cloud #2 (Kumoni) indicates that when price enters its range, it's bound for change. In this chart, it's shaded purple. In the the algorithm (link below), it's forecasted 5 days. See here:
docs.google.com
Gold Intraday/Intraweek next long leg into the shared TP areaAfter previously sharing a beautiful and stoked analysis from the current month lows at the begging of the month I'm expecting a possible and final long leg into the target projection 1800.00 per oz on this commodity before the next exhaustion
ZYNE Racking UP; ALGO Img.ZYNE dips into the Ichimoku Cloud #2 before heading back up, to the top of its Cup & Handle (inside the 5 day view). As mentioned in prior posts, the 2nd Ichimoku Cloud (shaded in purple) indicates that when price enters its range, it's bound for change. See Algorithm imaging here:
docs.google.com
WMT - RubberBand Algo Update 1 - Questions and moreThis week I started working on my first filter algorithm. The sole purpose of the program is to filter stocks who's trading price closes below the lower Bollinger band (80 day period) in the TSX, TSXV AND CSE. We use algorithms when the inefficiency targeted is persistent. Meaning that the trading opportunities occur over and over in a similar manner. EXAMPLE - identify the stocks who's price closes below the lower Bollinger band assuming the stock is being oversold, meaning that there is a good chance the price will bounce back after the sell-off.
This is not a trading bot since the user has to scan from the stock list, and manually input the buy/sell order. Which at this point is an advantage since the algorithm has absolutely no data to justify any decision it could make on its own. Now that that has been clarified, here are some of the notes I've taken from the first trial. Some positive and some negative, but I am hoping that through tradingview I will be able to connect with more experienced traders and developers to help me answer some questions.
Positive - the algorithm is able to detect the stocks trading below the lower band, reducing the time and effort one would take if we were to look for those conditions ourselves.
Negative - 1) the algorithm fails at focusing ONLY in Canadian markets. 2) the program is unable to determine chart periods, meaning that each candlestick can either represent one day, 3 hours, 1 hour, 30 min, etc. which makes the holding period extremely inconsistent given that some events are just occurring during minutes or days. 3) Even though the purpose is to filter stocks, the pool itself is still very large since the program is unable to discard stocks that are oversold and simply don't have the volume to bounce back, or for some other reason, the company suffered major financial damage and it's a Lehman/Enron stock.
Given this week's progress, here are some of my questions:
1) How can I code an API that's strictly focused on getting input from those 3 Canadian exchanges?
2) How can I go around getting an API Key that's going to give my API access to those markets in the first place? (again Canadian exchanges only) *I have contacted a few people from their websites. but haven't gotten any response yet.
3) What ways would I be able to source for cleaner data in order to improve the accuracy of backtesting? Meaning how can I code it to look past the Lehman/Enron stocks? If someone is kind enough to drop the boolean expression to do so, I would appreciate it.
4) My programming language of choice is python but is there someone out there who prefers a different language? A recommendation I got was Ruby, so is anyone familiar with it?
5) I've noticed that a lot of the open-source algorithms out there focus on forex and crypto and I am wondering if there is a specific reason for this? I'm having a hard time finding projects involving stocks, even in the almighty Github.
I appreciate all comments and thoughts that will help me find some of these answers. My background is in business finance, and my CompSci knowledge is focused on UX design mostly, perhaps you understand now why this project is so important to me. On top of creating a potential IP asset, it's also a great learning experience to enhance my career.
Trying out RubberBand Algo with WMTThis week I am going bullish on Walmart. I usually don’t trade stocks this expensive but my algo picked it up. Current price trading below lower bollinger and EMA. This is my first trial blindly trusting my algo which is simply coded to mirror Matthew Kratter´s rubberband strategy. However, I decided to also toss in the EMA to shorten my holding period to a maximum of 3 or 5 days.
Current price is 117.74
Entering my position at 118.72
Exit target is 125
Only bought 20 shares, unfortunately my portfolio size isn’t as big as I want, but if I manage to make this algo work you can come back when I am 30 years old and ask me how my portfolio is performing haha
Here are a few questions for the experienced traders out there;
1) What’s your weekly return on average? I am trying to work on a bot that can give me a 1% weekly return and I would like to know if this is a realistic goal
2) If you’re trading in Canada, what broker to you use? I am using Questrade, which charges me a flat fee of 5 CAD per trade but I am wondering if there’s anything cheaper (or better per say)
Please leave a comment or any thoughts that might be useful. The reason why I like TradingView so much is because it has allowed me to connect with actual experienced traders and knowledge is power after all.
XAGUSD : Short ==> - % 5.95Hi.
Reference Length = 337 bars (Since DXY 337 dropped during the bar, 337 bars were chosen as the reference point.)
Percentage change of General Terminal in the process of 337 bars:
Parameters
Position Size : %1 (0.01)
Leverage : 50x
Risk/Reward Ratio : 3.00
Stop-Loss : 17.77638
Goal : 16.3945
Regards.
EURUSD Potential Sell setup! Please Like and Follow!
EUR/USD has been on a bullish run lately running into an over bought condition on the daily chart. If you take a look at the 1 hour chart it broke
the previous higher low. Plotting the Fibonacci retracement tool, if it hits the 50 percent range it can potentially head lower around the 1.12000 price range. This is the price that my Prediction model shows me. I use a model which analyzes price data to determine around what price we can potentially head towards. Remember to use a rule based strategy to get the best entry and exit points before entering on a trade. please follow and comment!
Breakout Algo Buy SignalNot Trading or Investment Advice!!!
My breakout algo issued a buy signal on 6/5.
Buy at 25.73
Wait for update on exit price
Risk control:
use 3% of portfolio capital
Hertz - Chapter 11 vs Algorithms Hertz just filed for everyone’s favourite chapter in the book. I’m posting this idea 12 hours before the market opens because I am beyond curious how industrial algorithms will react to the announcement, plus the fearful trading sentiment around the stock.
This is the first time where I get to closely watch the price of a stock pre market hours after the bankruptcy announcement came in. I don’t know what to expect, but god nothing makes me more excited than algorithmic behaviour patterns.
Thoughts?
Current price: $2.84