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📚 How to Use Stop Loss and Take Profit in Trading 📚

In today’s article, we will dive deeper into stop-loss and take-profit orders — tools that can make risk management a lot easier.

Table of Contents
⚈What Are Stop Loss and Take Profit Orders in Crypto and Forex?
⚈How Do You Set Stop Loss and Take Profit in Crypto and Forex?
⚈Why Place Stop Losses?
⚈Why Place Profit Targets?
⚈Types of Stop Loss Orders
⚈Sell Stop Order
⚈Stop Limit Orders
⚈Trailing Stop Order
⚈Examples of Placing Stop Loss Strategies
⚈Trading the Bounce
⚈Trading the Breakout
⚈Trading the Trend Reversal (Failure Swing)
⚈What Is the General Profit Target Placement Theory?
⚈What Is the 1% Rule in Trading?
⚈Conclusion

Over a week ago, we introduced you to the concept of risk management, and how you can use it to improve your trading. In today’s article, we will dive deeper into stop-loss and take-profit orders — tools that can make risk management a lot easier.

What Are Stop Loss and Take Profit Orders in Crypto and Forex?
Stop-loss and take-profit orders are ways for a trader to automatically close an open position when the trade reaches a certain price level. Using tools like these, traders can enter trades and move on to other tasks without having to worry about the market falling or rising unexpectedly. A take-profit order will lock in profits when the price reaches the target of the trade, whereas a stop-loss order serves to take a loss and protect the trader against further downside.

Let’s look at how to use these orders in practice!

How Do You Set Stop Loss and Take Profit in Crypto and Forex?
The method of placing stop losses and take-profit orders varies slightly from platform to platform. Most trading platforms use a setup like the one below, where you can already fill in your TP and SL levels when opening the position. The exact look of the interface varies, but the idea remains the same.

Traders place their take-profit levels and stop loss based on price targets and trade invalidation. They derive their targets from all kinds of analyses, whether that be price action, moving averages or the relative strength index.

Why Place Stop Losses?
Traders use stop losses to close a position automatically when the trade turns sour to prevent further losses. By using a stop loss, a trader can focus on other activities, without having to worry about getting liquidated.

Why Place Profit Targets?
Traders have targets to lock in profits when the trade goes their way. Using take-profit orders, the trading platform automatically closes the position when the price reaches the level.

Types of Stop Loss Orders
There are multiple types of stop-loss orders used in different situations. These include sell-stop orders, stop-limit orders and trailing-stop orders. Let’s get into what the differences are!

Sell Stop Order
A sell stop order (also known as stop market order) is used to sell an asset at market price when the asset reaches a specific price. This pre-set price is called the stop price. Once the stop is triggered, the order is executed and the asset is sold at the best available market price.

Stop Limit Orders
A stop limit order is very similar to a stop market order, with the only difference being the execution. Rather than the asset being sold at market price, a limit-sell order is placed. It means that an order will only be filled if the pre-determined price is reached.

For this reason, many people prefer using sell stop orders over the stop limit order, as limit orders do not get filled most of the time. When the market price drops quickly, limit-sell orders usually go unfilled, and traders are left holding a position in an unexpected downtrend. Using sell-stop (or market) orders guarantees the closing of the position at the best price available.

Trailing Stop Order
Finally, a stop order that is gaining popularity is the trailing stop order. This type of order uses a fixed percentage below market price, and only adjusts upwards. For example, when someone enters an Ethereum long trade at $1,000 with a trailing stop of 5%, the stop is sitting at $950. Now, when the price climbs by 15% to $1150, the stop loss climbs with it and is automatically adjusted to $1,092.

If the price starts to drop, the stop loss will not move back down with it, and the trade will be executed as a market order at $1,092. This stop order is used by trend traders, who like to keep a position open for a longer time, without having to adjust their stop frequently.

Examples of Placing Stop Loss Strategies
There are many ways of using stop losses. In today’s article, we will focus on some widely-used strategies. Whether you trade the bounce, breakout or trend reversal, having stop losses in place is crucial. In any case, it involves setting a level to close a trade if the price goes against your trade.

Trading the Bounce
When trading the bounce, the most logical place to put your stop is below the low, and many traders do just that. Usually, the price bounces from support levels and traders look to long that bounce.

However, it is important to not put a stop below lows blindly. In the example above, the author of this article took a trade only after a higher low was printed, serving as confirmation of a bounce. If a trader blindly longs after the first bounce, their trade may have already been stopped in the circled area. Whether you use market structure as confirmation or something else, it is good to have some extra information that suggests a bounce is coming. This will save you lots of money over time.

Trading the Breakout
Placing your stop while trading the breakout can be difficult, especially if you are trading a trending asset. Most traders place their stops below the previous low, but this might not work in your favor. You may place your stop below certain moving averages or use a trailing stop instead when the market structure isn’t favorable.

Trading the Trend Reversal (Failure Swing)
Swing failures are a popular price pattern. More and more people incorporate it in their analysis. In short, the swing failure pattern is a liquidity engineering pattern used to fill large orders. It occurs when the price is pushed into liquidity pockets with the sole objective of filling other positions.
In times of limited liquidity, sellers engineer buying pressure to fill their orders. What’s the easier way to do it than using stop loss orders? The screenshot below is an example of a bearish swing failure pattern, where the market took the liquidity above the previous swing high before selling off.

In trading these SFPs, traders generally place their stops above the new swing high that is formed after the liquidity grab. These trades play out quickly and are ideally closed when the correction starts to slow down.

What Is the General Profit Target Placement Theory?
The general profit target placement theory talks about risk and reward, as we discussed in our recent risk management article. After placing your stop and finding a sensible take-profit area, traders must gauge if the trade has an acceptable risk-to-reward ratio that matches their win rate.
Profit targets are determined by analyzing the overall market conditions, the price action, indicators, support & resistance and other forms of analysis. Traders try to find areas where the price will have a hard time getting through and place their take-profit orders there.

What Is the 1% Rule in Trading?
The 1% rule is a generally agreed-upon maximum loss per trade. The rule suggests that you should never allow a trade to cost you more than 1% of your trading capital. For instance, if Felicia is trading with $25,000, she should never lose more than $250 per trade.

This rule can be used to calculate your trading position size by looking at your entry price and where your stop loss is. If Felicia’s stop loss is 5% lower than her entry, her position size should be $250 * 20 = $5000. When her stop loss hits, the loss will amount to $250, or 1% of her trading account.

Conclusion
Take profit orders and stop loss orders are excellent tools to automate a small part of your trading. Using tools like these, traders can enter trades and move on to other tasks without having to worry about sudden changes in prices. The take-profit order will lock in profits when the price reaches the target of the trade, whereas the stop-loss order serves to take a loss and protect the trader against further downside.

Disclaimer: This article is based on my limited knowledge and experience. It has been written for educational purposes. It should not be construed as advice in any shape or form.

https://coinmarketcap.com/alexandria/article/how-to-use-stop-loss-and-take-profit-in-trading

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September 07, 2025
Utility, Utility, Utility

🚨Robinhood CEO - Vlad Tenev says: “It’s time to move beyond Bitcoin and meme coins into real-world assets!”

For up to date cryptocurrencies available through Robinhood:
https://robinhood.com/us/en/support/articles/coin-availability/

00:00:24
September 06, 2025
3 Companies Control 80% Of U.S. Banking👀

3 companies. 80% of U.S. banking. You need to know their names.

Watch us break it down in the latest Stronghold 101

00:03:58
September 06, 2025
We Have Been Lied To, For Far To Long!

Impossible Ancient Knowledge That DEBUNKS Our History!

Give them a follow:

Jays info:
@TheProjectUnity on X
youtube.com/c/ProjectUnity

Geoffrey Drumms info:
@TheLandOfChem on X
www.youtube.com/@thelandofchem

00:18:36
👉 Coinbase just launched an AI agent for Crypto Trading

Custom AI assistants that print money in your sleep? 🔜

The future of Crypto x AI is about to go crazy.

👉 Here’s what you need to know:

💠 'Based Agent' enables creation of custom AI agents
💠 Users set up personalized agents in < 3 minutes
💠 Equipped w/ crypto wallet and on-chain functions
💠 Capable of completing trades, swaps, and staking
💠 Integrates with Coinbase’s SDK, OpenAI, & Replit

👉 What this means for the future of Crypto:

1. Open Access: Democratized access to advanced trading
2. Automated Txns: Complex trades + streamlined on-chain activity
3. AI Dominance: Est ~80% of crypto 👉txns done by AI agents by 2025

🚨 I personally wouldn't bet against Brian Armstrong and Jesse Pollak.

👉 Coinbase just launched an AI agent for Crypto Trading
Enjoy The Show 🎬

🚨BREAKING: UFO Splits Missile In Half?!

In today’s Congressional UFO hearing, new military surveillance video shows a UFO splitting a Hellfire missile in mid-air.

https://x.com/TheProjectUnity/status/1965476449868988479

September 10, 2025

We’re pleased to announce that Emory University, through its Melody Lab led by Assistant Professor Wei Jin, has joined Theta's academic partner network by adopting Theta EdgeCloud Hybrid:

https://medium.com/theta-network/emory-university-a-top-ranked-us-research-university-in-georgia-leverages-edgecloud-for-ai-dc5b95f3700e

September 10, 2025

Two interesting facts:

1⃣ Ripple Payments user UniCredit just partnered w/ BNP Paribas for securities custody.

2⃣BNP Paribas uses Ripple Custody tech for its crypto custody. So both sides of the partnership are tied to Ripple

One in payments, the other in custody.

https://x.com/WKahneman/status/1965630841465569546?s=19

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

This is not merely a fleeting trend; it's a crowning moment in global adoption. The U.S. government has just validated what many in the Web3 space have been building towards for years: that Web3 is not a sideshow, but a foundational layer for the future. The current cycle will be remembered as the moment the world definitively crossed this threshold, marking the last great opportunity to truly say, "we were early."

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

Source

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List Of Cardano Wallets

Well-known and actively maintained wallets supporting the Cardano Blockchain are EternlTyphonVesprYoroiLaceADAliteNuFiDaedalusGeroLodeWalletCoin WalletADAWalletAtomicGem WalletTrust and Exodus.

Note that in case of issues, usually only queries relating to official wallets can be answered in Cardano groups across telegram/forum. You may need to consult with specific wallet support teams for third party wallets.

Tips

  • Its is important to ensure that you're in sole control of your wallet keys, and that the keys used can be restored via alternate wallet providers if a particular one is non-functional. Hence, put extra attention to Non-Custodial and Compatibility fields.
  • The score column below is strictly a count of checks against each feature listed, the impact of specific feature (and thus, score) is up to reader's descretion.
  • The table represents current state on mainnet network, any future roadmap activities are out-of-scope.
  • Info on individual fields can be found towards the end of the page.
  • Any field that shows partial support (eg: open-source field) does not score the point for that field.

Brief info on fields above

  • Non-Custodial: are wallets where payment as well as stake keys are not shared/reused by wallet provider, and funds can be transparently verified on explorer
  • Compatibility: If the wallet mnemonics/keys can easily (for non-technical user) be used outside of specific wallet provider in major other wallets
  • Stake Control: Freedom to elect stake pool for user to delegate to (in user-friendly way)
  • Transparent Support: Easy approachability of a public interactive - eg: discord/telegram - group (with non-anonymous users) who can help out with support. Twitter/Email supports do not count for a check
  • Voting: Ability to participate in Catalyst voting process
  • Hardware Wallet: Integration with atleast Ledger Nano device
  • Native Assets: Ability to view native assets that belong to wallet
  • dApp Integration: Ability to interact with dApps
  • Stability: represents whether there have been large number of users reporting missing tokens/balance due to wallet backend being out of sync
  • Testnets Support: Ability to easily (for end-user) open wallets in atleast one of the cardano testnet networks
  • Custom Backend Support: Ability to elect a custom backend URL for selecting alternate way to submit transactions transactions created on client machines
  • Single/Multi Address Mode: Ability to use/import Single as well as Multiple Address modes for a wallet
  • Mobile App: Availability on atleast one of the popular mobile platforms
  • Desktop (app,extension,web): Ways to open wallet app on desktop PCs
  • Open Source: Whether the complete wallet (all components) are open source and can be run independently.

Source

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💳 PayPal: 
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XLM: GDMJF2OCHN3NNNX4T4F6POPBTXK23GTNSNQWUMIVKESTHMQM7XDYAIZT
XDC: xdcc2C02203C4f91375889d7AfADB09E207Edf809A6

 

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