Risk Reward Ratio Calculator for iOS - Free download and ...

Level01Main App Launch on 10th Oct 2020

Level01Main App Launch on 10th Oct 2020
https://preview.redd.it/8y1d9ion4er51.jpg?width=1200&format=pjpg&auto=webp&s=8a260daa2b740980958dfa5a9459bcf7405f9727
Level01 is the World’s 1st DeFi Platform with AI-Guided Derivatives Trading. Our main app will be launched on 10 October 2020. Get ready for real money trading.
- Clear, Transparent and Fair Options Trading DApp - Decentralized: Peer to peer options trading for more profits - Trade Fairly: FairSense AI calculates contract Risk/Reward - Reliable Data from Bloomberg and Thomson Reuters - Control your own funds: Trade mobile app includes non-custodial private wallet - Blockchain-based smart contracts for transparency and reliability - No tampering: Settlement finality on ETH blockchain - Trade-In Multiple Markets: Forex, Crypto, Commodity - Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details?id=io.level01.android Quickstart Guide: https://level01.io/quickstart-trading-guide/ Web: https://Level01.io
submitted by Level01Exchange to Level01io [link] [comments]

We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.

We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.
https://preview.redd.it/zw7phqsvbhs51.jpg?width=526&format=pjpg&auto=webp&s=1410d020d405ef7c3fb1f81d74e795e91b5dac3d
We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading. You can try either Demo trading or Real Money trading. We provide free 10,000 LVX demo token for you to experience trading with our FairSense AI guidance without risk.
- Clear, Transparent and Fair Options Trading DApp - Decentralized: Peer to peer options trading for more profits - Trade Fairly: FairSense AI calculates contract Risk/Reward - Reliable Data from Bloomberg and Thomson Reuters - Control your own funds: Trade mobile app includes non-custodial private wallet - Blockchain-based smart contracts for transparency and reliability - No tampering: Settlement finality on ETH blockchain - Trade In Multiple Markets: Forex, Crypto, Commodity - Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details...
Quickstart Guide: https://level01.io/quickstart-trading-guide/
Web: https://Level01.io
submitted by Level01Exchange to Level01io [link] [comments]

One more day to our main app launch! Get ready for real money trading.

One more day to our main app launch! Get ready for real money trading.
https://preview.redd.it/38yqms52tzr51.jpg?width=526&format=pjpg&auto=webp&s=8ae9736c169a6451fc9824f26600e53801eeea24
Level01 is the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.
- Clear, Transparent and Fair Options Trading DApp - Decentralized: Peer to peer options trading for more profits - Trade Fairly: FairSense AI calculates contract Risk/Reward - Reliable Data from Bloomberg and Thomson Reuters - Control your own funds: Trade mobile app includes non-custodial private wallet - Blockchain-based smart contracts for transparency and reliability - No tampering: Settlement finality on ETH blockchain - Trade In Multiple Markets: Forex, Crypto, Commodity - Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details...
Quickstart Guide: https://level01.io/quickstart-trading-guide/
Web: https://Level01.io
submitted by Level01Exchange to Level01io [link] [comments]

Our main app will be launched on 10 October 2020

Our main app will be launched on 10 October 2020
https://preview.redd.it/r2duflcppsr51.jpg?width=1080&format=pjpg&auto=webp&s=b5c77fba0dcade486c30fb580b7fd85348e7b195
Level01 is the World’s 1st DeFi Platform with AI-Guided Derivatives Trading. Our main app will be launched on 10 October 2020. Get ready for real money trading. ☑ Clear, Transparent and Fair Options Trading DApp ☑ Decentralized: Peer to peer options trading for more profits ☑ Trade Fairly: FairSense AI calculates contract Risk/Reward ☑ Reliable Data from Bloomberg and Thomson Reuters ☑ Control your own funds: Trade mobile app includes non-custodial private wallet ☑ Blockchain-based smart contracts for transparency and reliability ☑ No tampering: Settlement finality on ETH blockchain ☑ Trade In Multiple Markets: Forex, Crypto, Commodity ☑ Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details?id=io.level01.android Quickstart Guide: https://level01.io/quickstart-trading-guide/ Web: https://Level01.io
submitted by Level01Exchange to Level01io [link] [comments]

We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.

We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.
https://preview.redd.it/6yikxzprbhs51.jpg?width=526&format=pjpg&auto=webp&s=49f372132681d480c122fdcf07dfb85d7821346e
We are live! Get your hands on Level01, the World’s 1st DeFi Platform with AI-Guided Derivatives Trading. You can try either Demo trading or Real Money trading. We provide free 10,000 LVX demo token for you to experience trading with our FairSense AI guidance without risk.
- Clear, Transparent and Fair Options Trading DApp - Decentralized: Peer to peer options trading for more profits - Trade Fairly: FairSense AI calculates contract Risk/Reward - Reliable Data from Bloomberg and Thomson Reuters - Control your own funds: Trade mobile app includes non-custodial private wallet - Blockchain-based smart contracts for transparency and reliability - No tampering: Settlement finality on ETH blockchain - Trade In Multiple Markets: Forex, Crypto, Commodity - Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details...
Quickstart Guide: https://level01.io/quickstart-trading-guide/
Web: https://Level01.io
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

One more day to our main app launch! Get ready for real money trading.

One more day to our main app launch! Get ready for real money trading.
https://preview.redd.it/7xixflx2szr51.jpg?width=526&format=pjpg&auto=webp&s=122f8cb099cbe0ce621fbd538e0cf0f432ec587b
Level01 is the World’s 1st DeFi Platform with AI-Guided Derivatives Trading.
- Clear, Transparent and Fair Options Trading DApp - Decentralized: Peer to peer options trading for more profits - Trade Fairly: FairSense AI calculates contract Risk/Reward - Reliable Data from Bloomberg and Thomson Reuters - Control your own funds: Trade mobile app includes non-custodial private wallet - Blockchain-based smart contracts for transparency and reliability - No tampering: Settlement finality on ETH blockchain - Trade In Multiple Markets: Forex, Crypto, Commodity - Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details...
Quickstart Guide: https://level01.io/quickstart-trading-guide/
Web: https://Level01.io
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

Our main app will be launched on 10 October 2020

Our main app will be launched on 10 October 2020
https://preview.redd.it/qxk5wf6tpsr51.jpg?width=1080&format=pjpg&auto=webp&s=450016dd1557e59309586b0db0b8ca92fa585d3a
Level01 is the World’s 1st DeFi Platform with AI-Guided Derivatives Trading. Our main app will be launched on 10 October 2020. Get ready for real money trading. ☑ Clear, Transparent and Fair Options Trading DApp ☑ Decentralized: Peer to peer options trading for more profits ☑ Trade Fairly: FairSense AI calculates contract Risk/Reward ☑ Reliable Data from Bloomberg and Thomson Reuters ☑ Control your own funds: Trade mobile app includes non-custodial private wallet ☑ Blockchain-based smart contracts for transparency and reliability ☑ No tampering: Settlement finality on ETH blockchain ☑ Trade In Multiple Markets: Forex, Crypto, Commodity ☑ Easy To Use: Generate profits from price movements, hedging or insurance.
Download and try it, https://play.google.com/store/apps/details?id=io.level01.android Quickstart Guide: https://level01.io/quickstart-trading-guide/ Web: https://Level01.io
submitted by Level01Exchange to u/Level01Exchange [link] [comments]

Need some legitimate risk management advice

Brand new to forex, after messing around with stocks and ETFs for a year on robinhood.
In trying to learn about this strange new world, seemingly every article warns me that trading forex is the fastest route to poverty, that I'll lose every dime I have and that I'm better off buying lottery tickets, UNLESS I have a risk management plan.
That's all good and well, but it seems hard to find suggestions on how to actually manage my risk. So far what I have found is either unconvincing, or I just flat don't understand what is being explained. So I've landed here.
Reading the Forex FAQ, in this sub, the advice is to use a very small amount of capital when starting off, and practice live trading from there. If then recommends a formula to use in order to calculate risk, which seems like quite a bit of running calculations for every single trade that I make. Is it really the case that every Forex Trader that manages risk runs a series of calculations for each and every trade in order to figure out pip value and leverage amount, such matter and what have you?
Second problem, before even getting to the risk management section of this Subs FAQ, I'm told to read The Beginner's Guide on baby Pips. Babypips says that when you first start off trading you should not start small because then you will never be able to weather times of drawdown. They recommend something like an initial deposit of $20,000 or 50,000, and saying that if you don't have that much then build up your savings and come back the Forex when you have that to drop into the market. Are you kidding me?
My original plan before reading either of those guides was to deposit $300 and use something like a 10 to 1 or 20 to 1 Leverage.
The part that I'm hung up on which really baffles me and I need some help understanding is everywhere seems to say that I should only risk one or 2% of my account. I don't really understand what that means.
My trading app, OandA allows me to set default trade settings. One of them is trade size, which I can select an option "%Lev NAV" In all of my general Trading I have kept this number at 100, assuming that it is simply using 100% of my account for each trade.
I am also using a system in order to Define very specific entry points with a one-to-one risk reward ratio, setting a stop loss and take profit Target, usually between 9 and 60 Pips in size, depending on the instrument. Thus far, each trade that I have won usually amounts to a 3 to 8% change in the demo account value, which seems comprable to what I was experiencing with stocks and ETFs back on Robinhood. For the last 4 trades I've made, I'm up 15%.
Do I need to adjust this % Lev NAV down to 1% instead of 100? Or do I really need to download a pip value calculator app and make a determination after solving some arithmetic? I just can't seem to figure this out, and different sources use the same words interchangeably yet differently. When risking 1% of my account, does that include leverage, or not, in the trade? And if the most anyone recommends to risk in a trade is 1-2% then why use leverage at all? Won't the returns on 1% be so small as to be negligible? I don't seem to understand how it could possibly be Worth while to spend all that time trading... 1℅ of $300 is three bucks. As I understand it, that would allow me to buy 2 units of the EUUSD... there's no way that could be right, right?
Thanks for your patience and for reading this whole, chapter-length, question of a post.
I look forward to some clarity. I don't know how to switch to live trading, and the demo account does nothing to simulate leverage.
submitted by rm-rf_iniquity to Forex [link] [comments]

b

If you guys could post other things that you've found useful too, that'd be great.
submitted by confluencefx to u/confluencefx [link] [comments]

reminder

Here's a collection of random tools you might find useful in your trading. If you guys could post other things that you've found useful too, that'd be awesome.
submitted by confluencefx to u/confluencefx [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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submitted by tranlinhphuong1 to SetForgetPattern [link] [comments]

Crisis Killer Review | Thinking Of Buying ? Don’t !

A trading robot that can make you honestly Big Time profits without worrying that you play on the chances of winning! Come on, guys – If only it were that simple … ..
We do not know about you, but we pretty tired of seeing robots, training programs and made every week by some of the largest operators in the game plans. And when we came across the Crisis Killer then we must admit that we started automatically to contract with a cynicism …
Crisis Killer Review : Is This Forex robot really good?
However, this bot is written by a guy who made some serious money trading the markets, not to mention the fact that the Crisis Killer is the program that got Europe in turmoil right now. So we realized that we definitely need to get down and dirty with the program before we made any decisions about whether the program is a saint or a sinner.
Read on to discover exactly what we discovered …
What you get for your money?
Thus, as we have already stated, the Crisis Killer is a trading robot which, according to Thomas, its creator, is virtually guaranteed to double your money. And it works as follows:
• It works on real money: with a deposit from 100,000 euros (you do not need to have that amount to trade, so do not panic …). The guy has invested this amount of his own money to show his confidence in the work of the system. And in two months, it shows definitive proof to double that 200 – pretty impressive the way you look at it.
• A never done before – high reward low risk methodology: this is provided by the ability of the robot to recognize when a business begins to falter in less than 5 milliseconds. He opened new positions in order to absorb the bad trade with those positive trend.
• The high trading activity: having between 10 and 30 jobs open at any given time, the bot can accurately measure the risks and rewards. We can therefore combine the value of transactions, cross-checking and refining them in the optimum position to close them all in a split second … and win big!
• Failure of 3-layer proof safety net: The bot uses the taxes myfxchoice through three security reasons. 1) they have a minimum latency between the control and order execution (under 5 milliseconds), 2) they have one of the best reputations around customer satisfaction and c) they give priority support refine the bot if necessary. [Wplapdance name = "CrisisKiller"]
• Small compliant repository: you can trade with as little as $ 100 game system still works the same (and, in fact, with small amounts system actually has a slightly higher winning percentage rate) .- the automatic installation: easy to install and use, with a few clicks of your mouse.
What Is Crisis Killer Software ?
A major drawback of many robots and trading systems is that you must have the knowledge to start. But with the Crisis Killer even a novice can literally plug it in, set up and start making money. Male or female, young or old, rich or poor, this is a program that has no boundaries and will work for everyone.
But do not make the mistake of thinking that this is only for those who know nothing of the negotiations, because nothing could be further from the truth. Implement this little baby, give her a chance to show you what it's like to do and you money before you know it.
Which is Created By The Program?
Just go by the name "Thomas", the creator of the Crisis Killer is a carrier IQ of 167 and the ability to calculate complex literally at the speed of light numerical equations. And he used that gift since his teens, and boy did companies billions of dollars sit up and take note. Red Bull, Magna and voestalpine are some of the conglomerates that have put their trust in Thomas, and his years of work enabled him to create a model of a formula that makes money trading the markets – again and again and again …
Pros - Crisis Killer Review :
• Killer crisis is simple to understand, install and start using. In fact, it is so simple that your five year old son or daughter could probably manage crisis … crissis killer killer review Is This Forex robot really good?
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• The program comes with a 100%, 60 day money back guarantee on the activation fee (the tiny fee you pay to run your business set up. This is the only amount you pay for what either, and even that is covered for two incredible month!
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• So the biggest "con" is that it's a limited supply, and when the total take of the crisis killer has been reached then it will be withdrawn. No warning, no last chances, no countdown 24 hours – it'll just be there. So if you want then you need to take the plunge and go for it, because tomorrow it might not be there. The Bottom Line
Well, well, well … We certainly did not expect to get to this point and did as crisis killer. Because, trust us, we had serious doubts about this program before we tried. But we definitely need to eat a huge dose of humble pie, because this little baby actually does what it says on the box (and it is a very rare thing when it comes to trading robots, believe us …).
Of course, it can not remove 100% of the risk – no program can (and when we find that there is by writing reviews penthouse in Monte Carlo), but as long as you never risk more than you can afford to lose, then we think you will be very happy with the results that the crisis brings killer.
Because it certainly gets the thumbs up from us, that's for sure …
submitted by nurjahann to crisiss [link] [comments]

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The problem is that most of these software are only available to the few elite, or have their price inflated so only big companies can afford them.
What are binary options? - The Covert Society
Binary options are one of the most lucrative methods for making money quickly on the internet. All that is required is a computer and an internet connection. With binary options, you can bet on rising or falling exchange rates and prices of indices, commodities and shares over a foreseeable time period.
This means that binary options can only produce one of two scenarios. If the Defined event takes place, the buyer receives a fixed amount. Otherwise, the option expires and therefore worthless. The benefit in this form of trade is the high profits coupled with manageable losses. Even small market movements can produce interesting capital yields. Further, profits can be Realized in a very short time frame, given that the expiry period of the option is usually set at only a few days or even hours.
Download The Covert Society From Official Website And Claim Your $300 Bonus Deposit
To quickly increase your money, only a knowledge of the direction of the movement of the investment before its expiry is needed. And that is exactly, where this new “super weapon” comes in…
How does The Covert Society Software work?
The Covert Society System is the English version of Option Rally and is a semi-automated trade program for binary options. It analyses 11 indicators and initiates a trade that only needs to be confirmed by the user. This rules out errors and frustrating days in front of the computer. A few clicks is all it takes.
1) Download
You can download the software free and without obligation from the official website.
You can test The Covert Society System with $500 Demo money WITHOUT depositing money and convince yourself of power of The Covert Society System!
Once the trial period expires, you can choose to purchase the full version. The price is set by trade volume and starts at $297 to $2397 per month.
2) Installation and activation
The installation process is self-explanatory and only takes a few minutes. The trade account with Vault Options Finance is equally created in just a few steps.
For a proper trial, I would recommend loading the Options Maker Finance trading account with at least 200, – $ or more. Depositing funds is secure and smooth, whether you use your credit card, a bank transfer or any other popular payment method.
3) Use
Once you have deposited funds, your software is ready to use immediately. As soon as you receive a signal, simply confirm the trade. 1 click – that’s it!
I was really impressed with the ease of use. All procedures are explained in detail and foolproof. I set up my first trade at dusk and realized a substantial profit on my first day.
Download The Covert Society From Official Website And Claim Your $300 Bonus Deposit
What We Like Best With The Platform:
Once we access the member’s area, here are what is included:
Pros:
Download The Covert Society From Official Website And Claim Your $300 Bonus Deposit
Cons:
Bottom Line:
The Covert Society System is definitely not a scam. It’s a free training. You are the one to decide how much money you should put into Forex. This is plain and simple. I’ve followed this training from past 1 week and have made over $2540 in profits. I only invested $500 when I started. I just can’t believe it is possible. I never thought about putting my money into Forex because of the hesitation and risk of loosing money but now I’m relieved to see the profits I’m making.
Download The Covert Society From Official Website And Claim Your $300 Bonus Deposit
submitted by maheshmabu to COVERTREVIEW [link] [comments]

JPMorgan Bitcoin Analyst Report Part 2 - Full Text (sorry, no graphs)

Part 1: http://www.reddit.com/Bitcoin/comments/1xmo61/jpmorgan_bitcoin_analyst_report_part_1_full_text/ Part 3: http://www.reddit.com/Bitcoin/comments/1xmoax/jpmorgan_bitcoin_analyst_report_part_3_full_text/
MAKING MONEY THE OLD FASHIONED WAY
A discussion of bitcoin should begin with an Economics 101 refresher on money – what it is, how it is created and why we hold it. The classic definition of money is anything that serves as medium of exchange, unit of account and store of value. A medium of exchange can be anything deliverable for a good or service, whether a mundane object, a precious metal or piece of paper. In allcases, users value the medium because employing it is more efficient than bartering. A unit of account is a way of measuring value from a common reference point, thus also facilitating commerce because goods can be compared more easily. (Recall the euro’s usefulness in this regard since now prices in Europe are comparable across 18 countries.) A store of value is just a way of holding wealth until it is exchanged for goods and services or lent or given to someone else.
For centuries precious metals, or paper currencies convertible into metal at a fixed rate, served these three functions. But followers of financial history know the limitation of a system based on a fixed or slow-growing money supply: it imposes uncomfortable financial discipline on governments, households and corporates.
Hence the progressive debasement of pure gold coins with alloys; the global abandonment of the gold standard during the financial strains during World War I; and the US government’s suspension of the dollar’s gold convertibility given fiscal and balance of payments pressure from the Vietnam War.
Today most countries employ fiat currencies, or paper and coins with no intrinsic worth whose perceived value stems from government declaration (or fiat) collective belief. The government creates demand for a currency by declaring it legal tender, meaning it must be accepted as payment for all debts and it will be used in any transactions between the government and other agents.
Consumers and corporates accept this fiat currency because it is a requirement for settling all debts public (paying taxes) and private. The government attempts to guard the value of money by maintaining a monopoly on its production to avoid counterfeiting, and by establishing a central bank with a mandate to manage its supply responsibly over time.
While this system may sound like blithe existence in The Matrix, this relationship amongst government, central bank, households, corporates and fiat currencies is much more efficient than an alternative like barter. It also makes macroeconomic shocks much easier to manage than an alternative like the gold standard (recall the deflation of the Great Depression and more recently peripheral Europe).
BITCOIN AS BETTER MONEY
Bitcoin proposes an alternative, however. If – despite their mandates – the world's biggest central banks risk inflation and currency debasement via the rapid expansion of their balance sheets, and if even European governments still impose capital controls (Cyprus), couldn’t a non-state entity more responsibly supply a fiat-like currency to the world? And if this currency were created and exchanged digitally amongst peers of consumers and corporates, it would have the additional advantage of avoiding the fees imposed by financial intermediaries as well as the loss of privacy inherent in third-party payments systems. Hence the purported appeal of a virtual currency: a medium of exchange, a unit of account and a store of value without the alleged recklessness, capriciousness, siphoning and snooping inherent in traditional systems. Even leaving aside this caricature of bitcoin's underlying philosophy, there is something compelling about the idea.
Simple in theory, but more complex in practice. Consider the infrastructure of a traditional monetary and payments system to highlight what bitcoin attempts to replace. A traditional financial system is a national network comprising a central bank owned by a government, which creates money by physically printing currency and minting coins, or by electronically creating bank reservess. That money is used by households, consumers and the government to facilitate trade and investment via a payments system of banks and other financial intermediaries (think PayPal, Visa, Western Union and in some countries, the post office). Financial intermediaries provide numerous services of varying complexity, but their role in the payments system is simple: verify that Customer A has sufficient funds to pay Customer B, then securely transfer ownership of that money between accounts. For assuming that verification and transfer risk, intermediaries levy a fee.
Bitcoin performs these functions of money creation, payment verification and fund transfer quite differently. Its network is international and comprises miners who create the currency and users who obtain the currency to buy goods and services. There is no central monetary authority or regulator. There is also no financial intermediary for exchanging bitcoins for real products. The closest to an intermediary is an exchanger who will swap bitcoins for traditional fiat currencies like dollars, euros, yen or renminbi, like a forex dealer or futures exchange.7
Miners create bitcoins electronically by solving a mathematical algorithm released in 2009 by an unidentified programmer (or perhaps group of programmers) known by the pseudonym Satoshi Nakamoto. Anyone can be a miner; they simply need to download the software required to interact with others on the network, and acquire hardware powerful enough to run the multitudinous calculations to solve the algorithm. Since the technology required to solve an increasingly complex algorithm grows over time, miners will probably be programming specialists rather than the average consumer or businessperson.
Any individual or business can be a bitcoin user, however, by establishing an electronic account know as a wallet. This wallet is associated with a user's electronic address but not to any other identifying information such as their name, phone number or physical address. Thus bitcoin is a pseudonymous system rather than an anonymous one in that every user is known by something other than the legal names associated with traditional banking.
To provide security as well as transact with other users, bitcoin employs cryptography which assigns two keys (alphanumeric codes) to each account – a private one known only to them and a public one known to all other users in the network. When two users wish to transact, they send a message to the network using their public keys signed by their private keys. This transaction forms part of a block chain or bundle of transactions entirely in the public domain along with all other historical bitcoin transactions performed in the network.
Miners compete to verify that this trade is authentic via algorithms to confirm that indeed a user possesses the bitcoin and did not previously spend it. Programmers (miners) who solve the equations to authenticate a block of transactions receive 25 bitcoins increasing the money supply. Whenever the algorithm is solved, it becomes computationally more difficult so that the next attempt requires more time an effort (i.e. computing power). This feedback mechanism limits the growth rate of bitcoin supply, so is somewhat analogous to the production constraint on gold. The more that is mined, the greater the requirement to dig deeper pits, the greater effort required to extract the marginal ounce and the higher the price of the marginal ounce (or coin). The stock of bitcoins is arbitrarily set at 21 million units to be mined by 2140, 12 million of which have already been mined. At early-February market prices of about $700 per unit, the current bitcoin money supply has a value of about $8.5bn, equivalent to the market capitalisation of the Mauritius Stock Exchange.
As complicated as this process is, it begins to address several acknowledged deficiencies of fiat currencies. It provides steady, predictable growth in the money supply. It eliminates the risk of capital controls because the network lacks a central authority. It provides verification of fund balances to avoid fraud. And it eliminates or at least significantly reduces transaction costs for payments because verifiers are rewarded through bitcoin creation. As fanciful – and indeed Matrix-like – as this bitcoin creation system sounds, perhaps it requires no more suspended disbelief than the traditional fiat system in which a government declares paper to have value and a central bank or national mint thus issues the specie. One doesn’t need to be the caricatured miscreant, Austrian economist or anarchist to appreciate the appeal of such a system.
submitted by twobitidiot to Bitcoin [link] [comments]

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MetaTrader Forex Risk Reward Ratio Indcator ver. 4.00 ...

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