[GTH decimals heatmap] (wide screen advised)Preface
I share my personal general view on indicators below; skip ahead to the Description below if you are not interested.
It is my personal conviction that most - if not all - indicators rely mainly on trader's belief that they work, and in a feedback system like free markets they might become a self-fulfilling prophecy as a result, if (!) a big part of the traders believes in it, because some famous trader releases an indicator, or such person's public statement goes viral.
One of those voodoo indicators is the famous "follow-through day". There is zero statistical evidence for its validity, beyond the validity of a statement like "If it's bright at day it's usually the sun shining". The uselessness was proven exactly on its inventor's YT channel, Investors Business Daily. According to the examiner, its inventor William J. O'Neil himself could not explain the values used for this indicator. It might have been an incidental observation at some point without general validity. A.k.a "curve fitting". Still, it's being used by many today.
Another one of those indicators is the three points reversal on the S&P 500 Volatility Index (VIX) which allegedly might potentially maybe indicate a possible shift in trend. Both indicators share an immediately problematic feature: They use absolute values. Nothing is ever absolute in a highly subjective and emotionally driven game like the markets where a lot of money can be made and lost.
Most indicators can not produce additional information since they can only re-pack price/volume action. Many times an interpretion of the distance between price and a moving average and/or the slope of a moving average deliver very similar - if not better - results than MACD, RSI etc., especially with standard settings, the origin of which are usually unknown (always a warning sign). Very few indicators can deliver information which is otherwise hard to quantify, e. g. market noise (Kaufman's Efficiency Ratio or Price Density) or volatility, standard deviation etc.
It is common knowledge that trading the markets is a game of probability. No indicator works all the time (or at all, see above). In order to make decisions based on any indicator, the probability for its validity and the conditions under which validity seemed to have occurred, must be known. Otherwise it is just coffee grounds reading under the illusion of adding to the edge, when in fact it is only adding to the trees, making it even harder to see the forest.
Description
A common belief is that whole or half-dollar prices tend to be attraction points in price action, so a number of traders include those into decision making. But are they really...?
Spoiler Alert:
Generally, it is safe to say that for the big majority of stocks there is very thin evidence for it. It depends vastly on the asset, the timeframe used and the market period (pre/post/main trading times). If at all, there seems to be an above random but still thin evidence for whole prices being significant attraction points. Interesting/surprising patterns are visible on many stocks/timeframes/session periods, though.
The screenshot shows TSLA, 30m timeframe, two heatmaps added. The top one shows pre/post-market data only, the bottom one main market data only. The cyan fields indicate the strongest occurrence, the dark blue fields indicate the weakest occurrence of open/high/low/close prices at the respective decimal. The red field indicates the current/last price decimal.
Clearly, TSLA displays a strong pre-market attraction for .00, followed by .33 and .67 and .50. This pattern of thirds seems to be a unique feature of TSLA. In the main trading session it is being diluted by a more random distribution.
Other interesting equities to examine:
SPY: No significant pattern on any timeframe!
META: Generally weak patterns on all timeframes, but interestingly on the 1D there is evidence for less randomness on O and H, more on L and most on C.
AAPL: 1D, foggy attraction areas around .35 and .12. Whole price is no attraction area at all! Very weak attraction around .73.
AMD: Strong pattern on D, W, M, attraction areas around 1/16th intervals. No patterns on lower timeframes.
AMZN: Significant differences between pre/post and main session. Strong 1/16th pattern below D in pre/post.
TAOP: Strong 1/5th pattern on all timeframes.
Read the tool tips and go explore!
In den Scripts nach "联特科技当前技术面指标（MACD、RSI、布林带）最新数据" suchen
*Backtesting System ⚉ ＯＶＥＲＶＩＥＷ ⚉
One of the best Systems for Backtesting your Strategies.
Incredibly flexible, simple, fast and feature-rich system — will solve most of your queries without much effort.
Many systems for setting StopLoss, TakeProfit, Risk Management and advanced Filters.
All you need to do is plug in your indicator and start Backtesting .
I intentionally left the option to use my System on Full Power before you load your indicator into it.
The system uses the built-in simple and popular moving average crossover signal for this purpose. (EMA 50 & 200).
Also Highly Recommend that you Fully use ALL of the features of this system so that you understand how they work before you ask questions.
Also tried to leave TIPS for each feature everywhere, read Tips, activate them and see how they work.
But before you use this system, I Recommend you to read the following description in Full.
—————— How to connect your indicator in 2 steps:
Adapt your indicator by adding only 2 lines of code and then connect it to this Backtesting System.
Step 1 — Create your connector, For doing so:
• 1 — Find or create in your indicator where are the conditions printing the Long-Buy and Short-Sell signals.
• 2 — Create an additional plot as below
I'm giving an example with a Two moving averages cross.
Please replicate the same methodology for your indicator wether it's a MACD, RSI , Pivots, or whatever indicator with Clear Buy and Sell conditions.
//@version=5
indicator('Moving Average Cross', overlay = true)
MA200 = ta.𝚎𝚖𝚊(close, 200)
MA50 = ta.𝚎𝚖𝚊(close, 50)
// Generate Buy and Sell conditions
buy = ta.crossover (MA200, MA50)
sell = ta.crossunder (MA200, MA50)
plot(MA200, color=color.green)
plot(MA50 , color=color.red )
bgcolor(color = buy ? color.green : sell ? color.red : na, title='SIGNALS')
// ———————————————— SIGNAL FOR SYSTEM ————————————————
Signal = buy ? +1 : sell ? -1 : 0
plot(Signal, title='🔌Connector🔌', display = display.none)
// —————— 🔥 The Backtesting System expects the value to be exactly +1 for the 𝚋𝚞𝚕𝚕𝚒𝚜𝚑 signal, and -1 for the 𝚋𝚎𝚊𝚛𝚒𝚜𝚑 signal
Basically, I identified my Buy & Sell conditions in the code and added this at the bottom of my indicator code
Now you can connect your indicator to the Backtesting System using the Step 2
Step 2 — Connect the connector
• 1 — Add your updated indicator to a TradingView chart and Add the Backtesting System as well to the SAME chart
• 2 — Open the Backtesting System settings and in the External Source field select your 🔌Connector🔌 (which comes from your indicator)
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𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐒𝐨𝐮𝐫𝐜𝐞 — Select your indicator. Add your indicator by following the 2 steps described above and select it in the menu. To familiarize yourself with the system until you select your indicator, you will have an in-built strategy of crossing the two moving EMA's of 50 and 200.
Long Deals — Enable/Disable Long Deals.
Short Deals — Enable/Disable Short Deals.
Wait End Deal — Enable/Disable waiting for a trade to close at Stop Loss/Take Profit. Until the trade closes on the Stop Loss or Take Profit, no new trade will open.
Reverse Deals — To force the opening of a trade in the opposite direction.
ReEntry Deal — Automatically open the same new deal after the deal is closed.
ReOpen Deal — Reopen the trade if the same signal is received. For example, if you are already in the long and a new signal is received in the long, the trade will reopen. * Does not work if Wait End Deal is enabled.
𝐓𝐚𝐤𝐞 𝐏𝐫𝐨𝐟𝐢𝐭:
None — Disables take profit. Useful if you only want to use dynamic stoplosses such as MA, Fast-Trailing, ATR Trail.
FIXED ％ — Fixed take profit in percent.
FIXED ＄ — Fixed Take in Money.
ATR — Fixed Take based on ATR.
R:R — Fixed Take based on the size of your stop loss. For example, if your stop is 10% and R:R=1, then the Take would be 10%. R:R=3 Take would be 30%, etc.
HH / LL — Fixed Take based on the previous maximum/minimum (extremum).
𝐒𝐭𝐨𝐩 𝐋𝐨𝐬𝐬:
None — Disables Stop Loss. Useful if you want to work without a stop loss. *Be careful if Wait End Deal is enabled, the trade may not close for a long time until it reaches the Take.
FIXED ％ — Fixed Stop in percent.
FIXED ＄ — Fixed Stop in Money.
TRAILING — Dynamic Trailing Stop like on the stock exchanges.
FAST TRAIL — Dynamic Fast Trailing Stop moves immediately in profit and stays in place if the price stands still or the price moves in loss.
ATR — Fixed Stop based on the ATR.
ATR TRAIL — Dynamic Trailing Stop based on the ATR.
LO / HI — A Fixed Stop based on the last Maximum/Minimum extemum. Allows you to place a stop just behind or above the low/high candle.
MA — Dynamic Stop based on selected Moving Average. * You will have 8 types of MA (EMA, SMA, HMA, etc.) to choose from, but you can easily add dozens of other MAs, which makes this type of stop incredibly flexible.
Add ％ — If true, then with the "𝗦𝘁𝗼𝗽 ％" parameter you can add percentages to any of the current SL. Can be especially useful when using Stop - 𝗔𝗧𝗥 or 𝗠𝗔 or 𝗟𝗢/𝗛𝗜. For example with 𝗟𝗢/𝗛𝗜 to put a stop for the last High/Low and add 0.5% additional Stoploss.
Fixed R:R — If the stop loss is Dynamic (Trailing or MA) then if R:R true can also be made Dynamic * Use it carefully, the function is experimental.
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A unique method of constructing intermediate Take Profit Levels will allow you to select up to 5 intermediate Take Profit Levels and one intermediate Stop Loss.
Intermediate Take Profit Levels are perfectly calculated into 5 equal parts in the form of levels from the entry point to the final Take Profit target.
All you need to do is to choose the necessary levels for fixing and how much you want to fix at each level as a percentage. For example, TP 3 will always be exactly between the entry point and the Take Profit target. And the value of TP 3 = 50 will close 50% of the amount of the remaining size of the position.
Note: all intermediate SL/TP are closed from the remaining position amount and not from the initial position size, as TV does by default.
SL 0 Position — works in the same way as TP 1-5 but it's Stop. With this parameter you can set the position where the intermediate stop will be set.
Breakeven on TP — When activated, it allows you to put the stop loss at Breakeven after the selected TP is reached. For this function to work as it should - you need to activate an intermediate Take. For example, if TP 3 is activated and Breakeven on TP = 3, then after the price reaches this level, the Stop loss will go to Breakeven.
* This function will not work with Dynamic Stoplosses, because it simply does not make sense.
CoolDown # Bars — When activated, allows you to add a delay before a new trade is opened. A new trade after CoolDown will not be opened until # bars pass and a new signal appears.
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Powerful time filter code that allows you to filter data based on specific time zones, dates, and session days. This code is ideal for those who need to analyze data from different time zones and weed out irrelevant data.
With Time Filter, you can easily set the starting and ending time zones by which you want to filter the data.
You can also set a start and end date for your data and choose which days of the week to include in the analysis. In addition, you can specify start and end times for a specific session, allowing you to focus your analysis on specific time periods.
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Signal Filters — allows you to easily customize and optimize your trading strategies based on 10 filters.
Each filter is designed to help you weed out inaccurate signals to minimize your risks.
Let's take a look at their features:
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Risk management tools that allow you to set the maximum number of losing trades in a row, a limit on the number of trades per day or week and other filters.
Loss Streak — Set Max number of consecutive loss trades.
Win Streak — Max Winning Streak Length.
Row Loss InDay — Max of consecutive days with a loss in a row.
DrawDown ％ — Max DrawDown (in % of strategy equity).
InDay Loss ％ — Set Max Intraday Loss.
Daily Trades — Limit the number of MAX trades per day.
Weekly Trades — Limit the number of MAX trades per week.
* 🡅 I would Not Recommend using these functions without understanding how they work.
Order Size — Position Size
• NONE — Use the default position size settings in Tab "Properties".
• EQUITY — The amount of the allowed position as a percentage of the initial capital.
• Use Net Profit — On/Off the use of profit in the following trades. *Only works if the type is EQUITY.
• SIZE — The size of the allowed position in monetary terms.
• Contracts — The size of the allowed position in the contracts. 1 Сontract = Сurrent price.
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It is important to note that I have never worked with Backtesting and the functions associated with them before.
It took me about a month of slow work to build this system.
I want to say Big Thanks:
• The PineScripters🌲 group, the guys suggested how to implement some features. Especially @allanster
• Thanks to all those people who share their developments for free on TV and not only.
• I also thank myself for not giving up and finishing the project, and not trying to monetize the system by selling it. * Although I really want the money :)
I tried hard to make it as fast and convenient as possible for everyone who will use my code.
That's why I didn't use any libraries and dozens of heavy functions, and I managed to fit in 8+-functions for the whole code.
Absolutely every block of code I tried to make full-fledged modular, that it was easy to import/edit for myself (you).
I have abused the Ternary Pine operator a little (a lot) so that the code was as compact as possible.
Nevertheless, I tried very hard to keep my code very understandable even for beginners.
At last I managed to write 500 lines of code, making it one of the fastest and most feature-rich systems out there.
I hope everyone enjoys my work.
Put comments and write likes.
QQE Student's T-Distribution Bollinger Bands Oscillator Credit to all of the developers on this project (aka all of the places I got the code from lol) @eylwithsteph @storma @Fractured @lejmer @AlexGrover @Montyjus @Jiehonglim @StephXAGs @peacefulLizard50262 @gorx1 @above-c-level
This script utilizes @above-c-level 's Student's T-Distribution script to give us a great estimation of volatility. I took this idea and apply it to the QQE filter! That being said I have added a boat load of features as to make this script as useful to as many people as possible. This is the Osc version
Included averages: 'TMA', 'ALMA', 'EMA', 'DEMA', 'TEMA', 'WMA', 'VWMA', 'SMA', 'SMMA', 'HMA', 'LSMA', 'JMA', 'VAMA', 'FRAMA', 'ZLEMA', 'KAMA', 'IDWMA', 'FLMSA', 'PEMA', 'HCF', 'TIF', 'MF', 'ARMA', 'DAF', 'WRMA', 'RMA', 'RAF', 'A2RMA', 'QQE 1', 'QQE 2','Centroid',"Harmonic Mean","Geometric Mean","Quadratic Mean","Median","Trimean","Midhinge","Midrange","VWAP"
Included Features: Smoothing, Additional Moving Average, Log Space, Mean Momentum via Derivative, Normalization, Convergence DIvergence, Candle View
Use this just like macd/rsi but instead this directly reflects the band version! It also shows really valid support and resistance. Use this in combination with the band version for more power.
Options Scalping by harsh gbychi this is my script.
Bank Nifty Live OI Change Chart can give very useful clues for intraday support and resistance levels for Bank Nifty. If there is more addition in Open Interest at 12200 Calls, that would mean most market players are comfortable writing call options at this level because they believe it to be a strong resistance. That would be bearish indication for BankNifty.
Similarly is there is highest writing in 12000 Puts that would indicate strong intraday support at that level.
Third Scenario: There is good amount of Open Interest increase in 12000 PE and 12200 CE –> this means we should expect a range bound session for the day, as both bears and bulls are comfortable holding the 12200 and 12000 levels respectively.
Following factors could improve reliability of BankNifty OI Change analysis:
1) Put Call Ratio: Higher PCR means bullishness. If there is more writing at 12000PE and PCR is high and increasing during the day that would add to bullish scenario
If the PCR is declining for the day and more writing happening at 12200CE then this adds to bearishness.
2) Close to expiry: The closer to expiry we are, the more reliable the ‘Open Interest’ analysis. Early in the series, the OI analysis is less reliable.
3) More Players: As the number of players increase, the OI analysis become more reliable.
4) Bid-ask Spread: The lower the bid-ask spread the more reliable the OI analysis.
5) Technical Indicators: The best trades are found by combining OI analysis with other technical indicators. MACD, RSI, Channel lines and EW count give best results with Open Interest Analysis.
Daily_Mid Term_Consulting BOLTDaily Mid Term Consulting BOLT es una estrategia a mediano y largo plazo creada para detectar los cambios tendenciales en zonas de tiempo diarias. se basa en el análisis de los cambios porcentuales que sufre el precio contra las distintas medias móviles simples definidas en la estrategia. el uso de osciladores como el MACD , RSI y EFI apoyan la decisión de entrada a la estrategia.
actualmente esta en construcción la colocación de stop losses para aumentar la eectividad de la misma.
Star niksthis is used with ema macd rsi ema 10/20/30 . you can use in especially in forex and commodity markets
Ratings AlgoThe ratings algo is my discount version of the many paid-for algorithms put out by numerous different companies. A technical "rating" (by default between -10 and 10) is produced for each candle, telling the user when to buy, sell, or hold. I took 11 of my personal favorite indicators to develop a rating system. They are:
50/200 SMA crossover
10/20 SMA crossover
10/20 LSMA crossover
10/20 EMA crossover
"Arnold" a rate-of-change analysis of a smoothed LSMA
PVT and OBV momentum
MACD
RSI
DMI
Fisher Transform
The ratings system is very basic (a more complex, detailed version will be coming in the future!) where each indicator returns -1, 0, or 1, and the MAs and Oscillators are stratified with a user-defined weighting. The total calculation is based on the function:
maweight * (average of MA ratings) + oscillator weight * (average of osc ratings)
If the total value > user-defined threshold, the bar is teal, and if > 2.5 * threshold, is green, and vice versa for orange/red respectively. Purple is given if the total value is close to zero.
"Strong" signals are printed if the bar changes to either green or red and exits are printed if the bars change from green/red to any other color.
A table is also produced showing what each indicator is indicating, either "Buy" "Sell" or "Hold.
Reversal Bands are printed, intended to be used as areas where a trade might be exited if the market is sideways. If a Strong Buy signal is produced, it may be a good idea to enter the trade, and hold until the price enters the reversal bands, then hold until a candle closes outside the band for the first time.
This indicator truly shines in trending markets (like most indicators), but with very fast-acting exit signals and reversal zones, will facilitate minimal losses and possibly even profits in sideways markets.
STRATEGY R18-F-BTCHi, I'm @SenatorVonShaft
Just finished the strategy "STRATEGY R18-F-BTC" for trading on #bitcoin and other cryptocurrencies.
As any strategy on TradingView, R18 opens Long/Short positions (with no leverage) on certain price points for assets in the chart. But I intentionally make this strategy for Bitcoin . Strategy is effective with 1h chart and it has %36 winning trade ratio for #bitcoin trade. As strategy uses approximately 1/3 ratio of SL/TP levels, gross profit for 1 year backtest is above %200 (I mean above 3x for only BTC )
Strategy is built on combination of:
- MACD
- RSI
- FIBONACCI levels
- BTCUSDT price itself as indicator (for different crypto assets and BTCUSDTPERP trading. You can select different assets you like for indicator (it's BTCUSDT:Binance by default))
I fine-tuned all levels of indicators above accordingly (it has more than 10 variables that effects strategy itself).
You can find out your own strategy levels by adjusting long/short tp&sl variables as well as initial capital ratio variable.
Reverse option open reverse positions of the strategy
Atrend by OTSAtrend is a indiactor used to identify long and short term trends it uses MACD, RSI, ATR, and a DEMA along with some pieces from supertrend, the indicator works good on 1-4 hour time frame
OptionsMillionaire SPY Moving Averages and Signalsby ColeJustice
OptionsMillionaire's SPY Options trading system is based mainly on these indicators:
- 8 EMA*
- 21 EMA*
- 100 SMA*
- 200 SMA*
- MACD
- RSI
- Squeeze Momentum
(*provided by this indicator)
and follows these rules:
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| 1) I never fight the trend. If its green, i buy calls. If its red, i buy puts. I will only buy puts on a green day if there is a overall change in market trend. Inversely, calls on a red day
| 2) Price action is my #1 indicator. I wait for it to confirm my thesis before i enter a trade
| 3) I only trade SPY Options
| 4) My baseline is to choose a call/put that has a DTE (Date To Expiration) 6-7 days out, with a strike $2-$3 away. I adjust that to fit my current appetite for volatility. i virtually never play same day DTE's.
| 5) I set a 10% stop, but usually exit at 8% before my stop triggers depending on current situation
| 6) I utilize about 10-20% of my Portfolio for one trade. Sometimes more. Rarely less.
| 7) I never hold overnight in these market conditions.
| 8) I shoot for 10-20% for gains. Depending on market conditions.
| 9) Always look for confirmations in your indicators.
| 10) I never force a trade. No trade is a good trade too if the entry just isn't there.
| 11) Patience always pays off. A great set-up can form in minutes or seconds. I never regret being patient to enter. I nearly always regret rushing into a trade.
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This indicator combines the moving averages into a single unit to simplify one part of the indicator usage rules: the 8 EMA / 21 EMA Cross. . The 8 crossing over the 21 is a Bullish signal, while the 8 crossing under the 21 is a Bearish signal. This indicator places flags at these crossover/under points, as well as shading the area between the 8 and 21 EMAs to help visualize the strength of the trend; green during a Bullish cross, and red during a Bearish cross.
A new addition to this strategy is the Hull Moving Average, or HMA. This script defaults to an HMA of 20 and shows alerts when candles close above or below the plot in the form of green and red candle backgrounds. This alert is best used in conjunction with the main crossovers and should be considered an addition level of confidence rather than providing trade entry/exits directly. This indicator is more flexible and you should feel free to adjust the period if you find a different value works better within your own personal trading style.
Each individual element of this indicator can be modified or toggled, providing maximum customization. While you should strive to become comfortable with the default settings, these options are provided in case you feel the need to adjust for your own style (or if testing on tickers other than SPY, for example).
Goodluch, and happy trading!
Simple strategy IndicatorHello, this is my Indicator, based on my MACD+RSI+Stoch trading strategy
You can use it by your own and try to apply it on any market
Please, adjust any parameters and don't forget to leave a feedback and comments
Multi-Oscillator Divergence StrategyNote: This is a modified version of TradingView's built-in "Divergence Indicator" and applied in "Strategy" format to show back testing results
It finds bullish and bearish divergence in a selection of well known MA formulas: MACD, RSI, STOCH, DETRENDED PRICE OSCILLATOR, MOMENTUM.
I've found good results even on 1 minute charts!
In this example the chart backtest is utilizing the detrended price oscillator (DPO)
There are multiple variables, so the ability to find good back test can sometimes be "time consuming"
And please note that if you increase "Pivot LookBack Right" variable too high, then you will increase chance of repaint. Keep this variable as low as possible
I've also drawn my own solutions on the chart (red and green trend lines) to find good take profit and safe stop loss. In order to study this properly you need the own the chart. Scripts don't give you this option.
See private chart publication link to "own" the chart for yourself. Simply click on the "Share" button (it's the megaphone icon) and click on "Make it Mine"
I've found the best approach is to create 5 copies of indicator on 1 chart and have each running with different MA formula. This will give you a majority consensus type environment.
I will post study with alert conditions next
Good luck and enjoy!
Distribution BlocksThis idea has been created by the combination of the two existing systems as a result of my efforts to create a distributional buying and selling guide that has plagued my head for a long time.
1st idea is Accumulation / Distribution Line :
2nd idea is Distribution Day :
These two ideas, the intellectual assistance of professional brokers, and my observations of cot data played a role in the formation of this idea.
Let's start.
No matter how often we divide our risk, both our minds are not comfortable and our capital may end at any moment, and if we do not use professional systems, our chances of success are 50 percent.
If we take this system as an aid to our classic systems, we can determine the amount of risk with those predictions and gradually trade.
If we don't use leverage and we have a little predictive ability, our chances of success go above 50 percent.
But for the first time, we can keep our first lot very low and increase the number of positions in the same order of orders (example: buy and buy and buy).
If we keep the first amount low, the folds won't hurt us.
When we catch up with the trend, purchases with larger position sizes than lower prices lower our average price, so that we can make a good profit when the rising trend starts.
By accepting the zone changes as the reset point just like in the martingale system, we enter the folds in the new zone with our first lot weight.
Although we cannot catch the trend, we determine the stoploss level by adding the first point we entered or the first point we entered and the commission cost.
In fact, this method is the method of buying and selling very large traders and producers, banks, pro-brokers, hedge funds and in other words the new popular phrase "whales".
Because if he trades otherwise, he cannot find buyers because his goods are too big.
I like the comfort of mind in this way.
Finally, your methods separating the negative and positive regions (macd, rsi, interpretation observation etc.)
the stronger you are, the higher your success rate.
I think the Accumulation Distribution method is very successful, but it can be adjusted for the period.
I can't wait to integrate my relativity system on this.
And when my deep learning series is over, I will integrate them on ANN series and share them publicly.
To start with, I can say briefly.
If your capital is 100:
(first lot + (increase multiplier * first lot) + (increase multiplier * increase multiplier * first lot) + .....) = 100
I tell you that you can have the same position in this series 10 - 15 times,
this will help you decide how small a position size is to be used as the starting rate and choose a low increment multiplier!
I think that this idea cannot be converted into strategy, because when our expectations come true, we may want to free all positions and start again.And I think that's better.
And in sudden movements and developments we take action with different expectations.
I'm going to talk about this script's calculations and profits on educational ideas.
Regards , Noldo.
40 DOMINANT ALTCOINS BINANCEThis indicator is a combination of 40 different altcoins which are found on Binance exchange.
I have listed all Binance altcoins in the order of the oldest listed and the newest.
Due to limitations on TV for calling only 40 securities at the same time, I have limited myself with adding only the oldest ones (9+ months) and some 8+ to make up at least 40 for more data.
I have excluded BTC, BCC, ETH, USDT, BNB from list as these are the trading pairs.
I have some updates in mind and will try to add more options in coming months
Regularly updating 40 altcoins list by sorting them by market cap and available historical data from Binance
Adding Bitfinex, Bittrex and other exchanges separetly, as there is only 40 security call limit
Adding ETH; USDT pairs for all above exchanges.
You can add any indicator to this indicator - such as MACD, RSI, EMA and so on to help you analyse it more deeper
When you load this indicator, it takes about 1 min wait as it takes and calculates a lot of data. After it is loaded, it works perfectly.
Currently there is only 40 oldest altcoins to gather enough data, but as time passes, I will change some of them to create better picture of alt coins.
Please report any problems and give feedback.
Any idea of improvement is welcome and I will try my best.
Please support me an consider to give a small tip to addresses bellow. It would greatly help me to free more time for improvements as I am working to support family and my time is limited for markets.
ETH: 0xac290B4A721f5ef75b0971F1102e01E1942A4578
BTC: 39p3rKuJYKGqph1Qs35yEfNWoPvpUJBBcy
This will greatly help me to keep update this indicator and give me more time to analyse and sort out all altcoins my their market cap, volume and influence.
_CM_COT Commercial Net Interest_V1Overview.
-This is the Beginning of a Educational Series from Jake Bernstein to the TradingView Community.
-Many Traders use the COT Data Incorrectly.
-Jake Discovered if You Look at the Net Commercials and Take Note When Commercials net Buying is Either At All Time Highs, Or Net Buying = Longest Period of Buying Look for an Extreme Move To the Upside.
-In The Future We Will Show Precise Entry Signals…But a Basic Entry Signal Is When Commercials Go From Net Long to Net Short.
-Full Credit in Methodology goes to Jake Bernstein at www.Trade-Futures.com and www.2Chimps.net
Thought Process:
-Commercials Represent Large (Typically Billion Dollar) Companies.
-Take Note - When Commercials Are Buying at Record High
-Take Note - When Commercials Are Buying For Record Long Periods of Time
***Note…Commercials Can Buy For Extended Periods Dollar Cost Averaging…
***Basic Entry Listed In Overview.
***More Precise Entries Will Be Introduced Soon.
Indicator Shows Net Commercials
-Full Credit goes to Greeny for Creating Original Code. I only made slight modifications.
Modifications include
-Took Off Net Long and Short Individual Plots
-Added Optional Background Highlighting when Commercials Switch from Long to Short
-Added Optional Alert Capability If Commercials Go From Net Long to Short
-Ability to Show INVERSE - This makes it Easier for some Traders to See…Since the Signals look similar to MacD/RSI Type Indicators.
***Additional Indicators and Updates Coming Soon
***Link To Upper Indicator:
