bot_trading

🤖 Comment ST-Bot S'Average Dans un Pump

Un pump est un mauvais endroit pour un short à pleine taille.
Le prix bouge vite, les bougies montent à la verticale, le volume s'élargit, et les acheteurs en retard commencent à courir après la partie propre de l'impulsion qui est déjà partie. C'est là que les shorts manuels se font serrer.

ST-Bot utilise une exécution par étapes : petite première entrée, niveaux d'averaging prédéfinis, filtres plus stricts sur chaque commande suivante, et prise de bénéfices sur le pullback.

Petite Première Entrée

Le premier short est une sonde.

Il ouvre une exposition sans dépenser tout le budget de risque avant que le marché ne montre de l'épuisement.

I do not start trading from the Buy or Sell button.
The button comes at the end. Before I even think about opening a position, I want to know what kind of market I am dealing with: overheated, oversold, ranging, impulsive, or already exhausted after a move
A trade taken before that context is usually weak. The trader sees a candle, feels pressure, enters late, and only then starts looking for arguments. My workflow is different: market regime → screeners → risk → execution.
Market Regime Comes First

One strong chart does not tell the whole story. A coin can pump while the broader market is already stretched. Another coin can look weak while the entire market is sitting in an oversold zone and preparing for a bounce. Without the broader picture, the same signal can be read completely wrong.

When the market is overheated, a long on a clean green candle may already be late. Price still pushes higher, traders keep chasing, open interest expands, and the risk profile gets worse with every new buyer.
When the market is oversold, shorting every red candle is also weak logic. After a liquidation cascade, the next move is often a bounce. Sellers may already be flushed, funding may be skewed, and price may stop making new lows.
That is why I start with the phase of the market. For this part, I use Market Median. It gives a broader view instead of one isolated chart: how far the market moved from normal conditions, how many assets are already overbought, how many are oversold, whether the move still has room, or whether the market is already stretched.
Until the regime is clear, I do not need a trade.
Screeners Show Where the Market Is Alive
After the regime is clear, I move to screeners.

I do not use them to randomly guess the next coin. I use them to remove dead charts and find where the market is actually active. A technical level means little if there is no volume, no fresh liquidity, and no real participation. You can wait for weeks for a clean level to work on a chart where nothing is happening.
The main things I watch are open interest, liquidations, funding, premium index, pump/dump screeners, volume, and price reaction. These metrics show whether the move has real participation behind it, whether leverage is building, whether traders are getting trapped, and whether pressure is still active or already fading.
Price rising without open interest support is one situation. Price rising with aggressive open interest growth is another. A move with skewed funding changes the risk profile again. A pump that liquidates shorts but stops pushing higher is not an automatic short. It is a zone to watch.
The screener does not make the decision for me. It shows where the market is alive. The decision still comes from context.
A Signal Without Context Usually Comes Late
Many bad trades start from the same place. A trader opens the chart, sees momentum, feels that the move is leaving without him, and enters late. After that, he starts building the story around the entry
A level appears, a news reason appears, a funding argument appears, a liquidation argument appears. The entry was emotional. The explanation came later.
The signal itself may be fine. The problem is that it was taken without regime. The same pump can mean different things: in an oversold market it can be the start of a bounce, in an overheated market it can be the final push before distribution, in a range it can be a stop hunt, and in a strong trend it can continue without a clean pullback.
I do not trade the candle by itself. I trade the combination: market phase, imbalance, confirmation, and risk.

The Bot Executes the Logic

When the regime is clear and the screeners show a live setup, only then does the trade appear.
At that stage, the position can be opened manually or through a bot. The logic does not change. A bot should not replace analysis. It should execute the rules that were defined before the emotional moment.
In Crypto Resources, I prefer to keep the chain structured: Market Median gives the regime, screeners show active situations, and Spot Bot or ST-Bot executes according to settings. This keeps the process from turning into reaction trading.
A manual trader sees movement and starts rushing. A bot does not rush. It follows conditions. But poor conditions still create poor trades. Automation does not fix a weak setup. The value is in the order of decisions before the bot gets involved.
Risk Comes Before Entry
Before I open a trade, I want more than direction.

I want to know where the entry becomes late, where the scenario breaks, how much size should go into the first order, whether there is room for averaging, whether open interest is already too heavy, whether funding is too expensive, and whether the move was already built on a liquidation flush.
If these questions are not answered, I would rather skip the setup. The market will give another situation. The deposit may not.
Risk management is not a separate block after the trade. It is part of the entry logic. Position size, averaging room, leverage pressure, funding risk, and market phase all belong to the same decision. If one part is weak, the whole trade gets weaker.
The Order Matters
The weak order is see movement → enter → justify → regret.
The stronger order starts earlier: market → asset → confirmation → risk → execution.
Market regime keeps me away from trading against the broader background. Screeners keep me away from dead charts. Risk management keeps the first entry under control. The bot keeps emotions out of execution.
Trading gets cleaner when the trade stops being the first action
#bot #bot_trading

Au lendemain du scandale de la monnaie mème LIBRA, dont les initiés avaient connaissance à l'avance des mécanismes de lancement, CertiK, une société de sécurité blockchain, a découvert une nouvelle tendance d'escrocs ciblant les robots de trading automatisés. Le responsable de la sécurité de CertiK, Kang Li, a révélé que certains contrats intelligents sont intentionnellement conçus pour exploiter ces robots. Ces escrocs créent de faux jetons avec des vulnérabilités cachées qui trompent les robots alimentés par l'IA programmés pour détecter les risques de sécurité. Les escrocs font ensuite la promotion de ces jetons au sein de la communauté de trading IA, pour ensuite leur retirer le tapis une fois qu'ils ont effectué quelques achats. Malgré les risques encourus, certains soutiennent que la sécurité de la blockchain n'est pas essentielle pour les pièces mèmes et les systèmes de pompage et de vidage. Cependant, ces escroqueries ont causé des pertes financières importantes, les escrocs exploitant continuellement les robots de trading sans craindre de répercussions juridiques. Bien que des solutions techniques existent pour empêcher le sniping, des failles dans la conception des contrats intelligents permettent toujours aux escrocs de manipuler le système.