β¨ It honestly feels like the stars aligned. π€β
I've been spending countless hours building and testing my own **automated trading bot**, refining strategies, analyzing results, and learning what it really takes to automate a trading idea.
And now... **Bitget is launching the AI GetAgent Playbook Trade-thon!** π
Whether your strategy is for:
π Crypto
π US Stocks
π TradeFi
β‘ Cross-Asset Markets
...you'll soon be able to turn it into an **AI Playbook**, compete on the leaderboard, and battle for a share of the **20,000 USDT prize pool**, with even more rewards through official picks and weekly missions. ππ₯
This is an exciting opportunity for strategy builders, quants, and anyone who's ever wanted to see their trading ideas come to life.
Who's planning to join? ππ
#Bitget #GetAgent #AITrading #AlgorithmicTrading #TradingBot #Crypto #Web3 #TradingStrategy #TradeThon
Markets don't move on facts aloneβthey move on emotions.
When SPCX drops, the timeline fills with opinions:
π¬ "Sell."
π¬ "It's over."
π¬ "Buy the dip."
π¬ "Wait."
But the loudest voices aren't always the most informed.
Instead of reacting to the noise, ask yourself:
What does the data actually say?
Every correction tells a storyβbut it's up to you to separate fear from fundamentals.
What do you think?
π Is SPCX currently overvalued, undervalued, or simply going through a healthy correction?
π Share your thoughts below.
#SPCX #Crypto #DYOR #MarketAnalysis #Investing #Web3 #Blockchain #CryptoCommunity
Since I was not able to enter trades, I scanned through my strategyβs position history.
One concern I have after reviewing the trade history is the inconsistency in risk per trade. Position sizes and PnL vary significantly across trades, making it difficult to determine whether the strategy is following a consistent risk management model.
A more standardized risk allocation would improve confidence in the strategy's execution and make its performance easier to evaluate.
This marks the end of my two-week journey with the GetAgent Playbook. Overall, the playbook performed well, recovering strongly from the drawdowns it experienced during the early stages of the test. Its ability to bounce back demonstrates that the underlying strategy has potential.
Unfortunately, I wasn't able to fully participate in that journey because the strategy was not properly integrated with my account. I even subscribed to the strategy twice to see if I can open trades the second time around. While the playbook itself was opening trades, none of those positions were executed on my account.
As a result, I wasn't able to experience or evaluate its performance firsthand, despite the strategy functioning as intended.
This highlights the need for a system fix or a thorough backend sanity check, as there appears to be an issue preventing trades from being executed correctly despite the strategy operating as intended.
Last week, I initially assumed that the strategy had too many pre-conditions, making valid trade setups extremely rare and resulting in very few positions being opened. Based on that observation, I concluded that the strategy was simply too restrictive.
However, after further monitoring, I realized that my assumption was incorrect. The strategy is actually detecting opportunities and opening trades as intended. The real issue is that those trades are not being executed on my account. This shifts the focus away from the strategy's entry logic and toward a possible problem with the execution process, account configuration, permissions, or the connection between the strategy and my trading account.
In other words, the strategy itself appears to be functioning properly, but there is likely an issue preventing my account from receiving or executing the trade signals. This is now the primary concern that needs to be investigated.
I believe that since no other configuration happens before launching the bot, my assumption is that I am not the only one experiencing this one.
While checking my Agent Playbook progress, I explored its whole interface and found out you can actually deploy your own trading agents here.
As someone who uses bot in their daily trading, it's actually good to see Bitget integrating these kinds of features here.
Am looking forward to maybe publish my own playbook here after a few tweaks and let's see if we can get good results.
After three days of running this AI strategy, I've noticed that it still hasn't opened a single position.
Although the strategy parameters are clearly defined, my current assumption is that the bot has several underlying conditions that must be met before it can execute a trade. With so many filters in place, it's possible that very few market conditions actually satisfy its entry criteria.
Of course, that could also be by design. The strategy may simply be built to be extremely selective.
Over the next few days, that's exactly what I'll be evaluating:
Does a lower trade frequency translate into higher quality trades, or are the entry conditions so restrictive that the strategy struggles to participate in real market conditions?
At the end of the day, no market is perfect, and no setup wins every time, not even the highest conviction A+ setups. The goal is not to find perfect trades, but to identify a repeatable edge and execute it consistently over the long run.
Sometimes, the challenge is not avoiding bad trades. It is making sure you are not filtering out too many good ones.
Every day, market makers and large participants facilitate trades by interacting with areas where liquidity is concentrated,clusters of stop losses and leveraged positions.
When these liquidity pools are swept, forced liquidations create a chain reaction, accelerating price movements as positions are automatically closed.
That's why the liquidity heatmap is one of the key components of this strategy.
What impressed me most is that this GetAgent doesn't try to predict tops or bottoms, nor does it fight the prevailing trend. Instead, it waits for liquidation cascades to develop, identifies which side of the market is overcrowded using funding rates, and follows the momentum while forced liquidations continue to fuel the move.
Rather than relying on predictions, the strategy is designed to capitalize on the imbalance created when one side of the market is forced to exit.
Strategy Overview
π Long: Positive funding + surge in short liquidations + strong bullish momentum
π Short: Deep negative funding + surge in long liquidations + clear bearish momentum
π― Exit: Fixed take-profit, stop-loss, and maximum holding time
π‘οΈ Risk Control: Shared long/short exposure cap with customizable margin and leverage per symbol
As someone testing the strategy, I appreciate that it doesn't trade emotions or chase predictions.
It trades liquidity.
Every day, market makers and large participants facilitate trades by interacting with areas where liquidity is concentrated,clusters of stop losses and leveraged positions.
When these liquidity pools are swept, forced liquidations create a chain reaction, accelerating price movements as positions are automatically closed.
That's why the liquidity heatmap is one of the key components of this strategy.
What impressed me most is that this GetAgent doesn't try to predict tops or bottoms, nor does it fight the prevailing trend. Instead, it waits for liquidation cascades to develop, identifies which side of the market is overcrowded using funding rates, and follows the momentum while forced liquidations continue to fuel the move.
Rather than relying on predictions, the strategy is designed to capitalize on the imbalance created when one side of the market is forced to exit.
Strategy Overview
π Long: Positive funding + surge in short liquidations + strong bullish momentum
π Short: Deep negative funding + surge in long liquidations + clear bearish momentum
π― Exit: Fixed take-profit, stop-loss, and maximum holding time
π‘οΈ Risk Control: Shared long/short exposure cap with customizable margin and leverage per symbol
As someone testing the strategy, I appreciate that it doesn't trade emotions or chase predictions.
It trades liquidity.
Every day, market makers and large participants facilitate trades by interacting with areas where liquidity is concentrated,clusters of stop losses and leveraged positions.
When these liquidity pools are swept, forced liquidations create a chain reaction, accelerating price movements as positions are automatically closed.
That's why the liquidity heatmap is one of the key components of this strategy.
What impressed me most is that this GetAgent doesn't try to predict tops or bottoms, nor does it fight the prevailing trend. Instead, it waits for liquidation cascades to develop, identifies which side of the market is overcrowded using funding rates, and follows the momentum while forced liquidations continue to fuel the move.
Rather than relying on predictions, the strategy is designed to capitalize on the imbalance created when one side of the market is forced to exit.
Strategy Overview
π Long: Positive funding + surge in short liquidations + strong bullish momentum
π Short: Deep negative funding + surge in long liquidations + clear bearish momentum
π― Exit: Fixed take-profit, stop-loss, and maximum holding time
π‘οΈ Risk Control: Shared long/short exposure cap with customizable margin and leverage per symbol
As someone testing the strategy, I appreciate that it doesn't trade emotions or chase predictions.
It trades liquidity.
Sometimes the best trading decision is knowing when to step away. π΄
With #Bitget rToken, your portfolio can stay connected to global opportunities while you take the break you've earned. π
Summer mode: ON. βοΈ
Your portfolio doesnβt have to take a vacation.
Trade Bitget tokenized stock (rtoken) 24/7 on selected pairs, earn dividends, and put your assets to work, all with crypto flexibility and native US liquidity.
Sit back. Let your assets work.
t's always rewarding to see your assets continue working for you, even while you're taking a well-deserved break. As traders, rest is just as important as strategy, staying glued to the charts can often lead to fatigue and costly decisions.
With Bitget rToken, your capital doesn't have to sit idle. Gain exposure to tokenized stocks with deep liquidity, allowing your portfolio to stay active while you take time to recharge.
This is how I got onboarded into Web3...
Looking back, there are a lot of things I wish I had known before getting started.
Thankfully, becoming an intern at Bitget helped me learn a lot and avoid some of the mistakes I would've made otherwise.
Curious how? Watch the video to find out.
Just came across an article from BitPinas discussing the Philippine Stock Exchange's push to modernize by expanding into new asset classes. It immediately made me reflect on how long it has taken for meaningful innovation to become a priority.
For years, the PSE has struggled to keep pace with global markets. While many stock exchanges around the world recovered and evolved after the pandemic, the Philippine market remained largely stagnant. The same companies continue to dominate listings, trading activity has remained relatively weak, and investor participation has not grown at the pace many had hoped. Instead of proactively building a more competitive financial ecosystem over the past decade, it feels like urgency only emerged when alternative exchanges and digital asset platforms started proving there was a better experience available.
What stood out to me is that the competition isn't simply about offering more tradable assets. Modern exchanges have evolved into complete financial ecosystems. Today, users expect to trade 24/7, transfer assets instantly through P2P, earn passive yields, access lending and borrowing services, make payments, and manage multiple asset classes, all within a single platform. That's the standard many global users have become accustomed to.
This is one reason why platforms like UEX caught my attention. Rather than functioning solely as a marketplace for buying and selling, UEX embraces the idea of a universal exchange, bringing together trading, payments, financial services, and digital assets into one integrated ecosystem. It's a glimpse of where financial infrastructure is heading, and it highlights how much room there is for innovation in the Philippines.
Competition is ultimately healthy. If new players entering the market encourage traditional institutions to modernize faster, improve accessibility, and deliver better services for investors, then everyone benefits. Innovation should be driven by vision, not just by the pressure of catching up.
Yow, this is huge!
And I think its the right time especially since we have cryptocurrency platforms entering the Philippines more and more.
Is this a foreshadowing of Bitget also officially entering the PH market?
Over the next days, a significant amount of HYPE will be returning to the spot market, with the largest maturity scheduled for July 6:
πΈ 752,000 HYPE
π 118 wallets
Token maturities are one of the many on-chain metrics worth tracking. As locked tokens become liquid, they can increase available supply, potentially affecting short-term volatility and market sentiment.
That said, maturity doesn't automatically mean selling. Some holders may take profits, others may continue holding or redeploy their capital elsewhere.
Smart traders don't react to headlinesβthey prepare for possible scenarios before they happen.
π July 6 is definitely a date I'll be watching.
One thing I've realized is that your network is one of the most valuable assets you can build.
Just last month, I wanted to automate part of my trading routine so I could spend less time manually scanning charts and more time focusing on decision-making. The idea was simple: create a bot that scans every coin on Bitget based on my strategy and instantly sends alerts to our Discord server whenever a setup appears.
At first, I thought it would be easy to find someone who could build it. I reached out to a few developers, but none were the right fit. After a while, I was honestly starting to think I'd have to put the idea on hold.
Then a friend reached out and said, "I know someone who might be able to help."
One conversation was all it took. We exchanged ideas, refined how the scanner should work, discussed the logic behind the strategy, and before long, the project was underway.
Today, that idea has turned into a fully functioning bot that's actively scanning the market for us 24/7 and delivering signals directly into our Discord server.
It's a reminder that sometimes the biggest bottleneck isn't the ideaβit's finding the right people. And that's exactly why building genuine relationships matters. You never know who in your network can connect you to the person who helps bring your vision to life.
Ideas are important. Execution is everything. But the right connections can accelerate both.
Bitget stands firm with its stance as the world's largest Universal Exchange and launches the Global Alpha Tournament!
While some competitions strictly stick with one common asset type, Bitget brings all kinds of traders together by converging all of them into one common tournament.
And take note, you can only join here if you have placed at the top 8 teams during their two pre-qualifying trading competition (Crypto and CFDs).
Once your team has qualified, your team will be granted an all-expense trip paid sponsored by Bitget!
You get to enjoy the thrill of the competition while embracing the commaraderie from other traders too.
What are you waiting for, test your skills now!
Check other info here: https://t.co/nN5SBzr4V8
As a trader myself, I always want to develop trading strategies and systems that fit the current state of the market and my portfolio. And building these strategies usually takes years of back testing data for you to conclude that it has real edge over the market.
But what if there are six strategies that you can choose from and deploy right away backtested data that has clear edge?
That is what @bitget is doing rightt now.
It currently has 6 structured and proven strategies with positive backtested results namely: Market Regime,Trend Breakout, Mean Reversion, AI Market Radar, Fundamentals, and Asset-Specific.
These strategies have their unique characteristics and edge, and knowing which one to use depending on your risk appetite and personality.
Personally, I would choose TREND and REVERSAL Signal since those two strategies fit my personality. Trend signals are very clear and high quality trades, while reversal signals capture a lot of RR trades.
You, what's your go to strategy?
If you currentlly do not have one, or would like to automate your trades, maybe this is the one for you.
Check it out here: https://t.co/ytGXVM93zb
NOTE: Past and backtested results does not guarantee future ones. Risk management is crucial.