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This guy used Grok Bot to build a Quant MACD system and it made $1,891 a day on Polymarket The result is already +$304,411 PnL in 161 days with about $105 per average trade, repeating the same setup 39 times every hour across BTC "Up or Down" markets Several... AI agents work together as one algorithm: 1. MACD identifies changes in short term momentum MACD = EMA(12) - EMA(26) When the faster EMA moves above the slower EMA, momentum is shifting Up When it moves below, momentum is shifting Down The system uses the crossover to identify when direction is beginning to change rather than reacting to every price tick 2. Signal Line confirms whether that momentum shift is strong enough The Signal Line is a moving average of MACD itself: Signal Line = 9-period average of MACD The bot compares the two: MACD > Signal Line → Up confirmation MACD < Signal Line → Down confirmation The wider the gap between them becomes, the stronger the current momentum signal This trader’s Polymarket account: Most profitable trades: $535 → $2,860 (+$2,325) $632 → $2,896 (+$2,264) $685 → $2,602 (+$1,916) The system uses MACD to detect direction and volume to confirm whether that move is strong enough to tradeshow more

Daniro

6,170 subscribers

17,904 Aufrufe • vor 5 Tagen •via X (Twitter)

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13 Kommentare

Profilbild von Hussain Hashim | Building SundayBack

Hussain Hashim | Building SundayBackvor 4 Tagen

@Dan1ro0 super interesting setup! any tips on managing the AI agents for consistent results? tweaking after each run or set it and forget it?

Profilbild von Jay Shaw

Jay Shawvor 4 Tagen

Bullshit no one believe this shit. Theyre spreading the same b.s bur just with different a.i names

Profilbild von Lee Gross

Lee Grossvor 4 Tagen

I’m pretty amazed at all these bots and things. I’ve been in the IT realm since ‘77 and Fortran IV was my first language using the good ole card punch machines. Yupper, I’ve witnessed and used quite a few cutting edge projects. Keep on sharing because this is so cool!

Profilbild von VALIX

VALIXvor 5 Tagen

This is a good example of how a trading bot can use MACD

Profilbild von Daniro

Danirovor 5 Tagen

That's right, bro. This software has excellent accuracy, with almost $2k pnl per day. To achieve this, it needs to make almost 1000 trades daily

Profilbild von Humanity Wasted

Humanity Wastedvor 4 Tagen

MACD on Polymarket Up or Down markets is a simple edge, but simple plus relentless plus 39 tries an hour is what actually compounds. Most traders can't sit through one setup, let alone 39

Profilbild von Sophie f

Sophie fvor 4 Tagen

Interesting perspective

Profilbild von Alex Lee

Alex Leevor 4 Tagen

39 trades every hour?? bro turned MACD into a factory 😭

Profilbild von Wizdom

Wizdomvor 5 Tagen

Another fake simulated paper trades

Profilbild von notgwapo

notgwapovor 4 Tagen

that's wild, man. lowkey wanna see how it holds up long-term. 📊

Profilbild von qwinsi

qwinsivor 5 Tagen

The volume filter is probably what makes the MACD signal actually tradable

Profilbild von Daniro

Danirovor 5 Tagen

This is a technical indicator for trading. It can also be used in trading bots, here

Profilbild von Kiz CMP

Kiz CMPvor 4 Tagen

@grok is this good? Are there bots out there that really exist like this and if so where does one look to create/own them

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S&P 500 IS FLASHING THREE RED FLAGS AT ONCE Price is going up. Everything else is going down 1. Volume in a downtrend - no real buyers behind this move 2. RSI overbought - the rally is running on fumes 3. MACD weak and rolling over - momentum is already failing When price disconnects from volume, RSI, and MACD at the same time - it doesn't end well The momentum is already dying This rally is not confirmed, so any correction will be very painful. Get ready! FOLLOW + NOTIFS ON!

bee🐝

1,096,644 Aufrufe • vor 5 Monaten

The GameStop $GME technical indicators are suggesting the rally is still underway and likely just beginning. Squeeze, Swing Momentum, Money Flow (MFI) and Stochastic Momentum Index (SMI) indicators are all in the early stages of their ramp. Also the green dot appeared on the MACD indicator this week. That usually happens in the 2nd week of the move. Again, that means early stage. Once the MACD crosses 0 is when upward momentum starts reinforcing itself, and the big moves begin. It can happen quickly. Today was options expiration (OpEx), so that's likely why it barely moved. It was pinned. Now that the options are expired suddenly price becomes unpinned, letting stocks and the market move freely. Next week is going to be interesting.

The GameStop $GME technical indicators are suggesting the rally is still underway and likely just beginning. Squeeze, Swing Momentum, Money Flow (MFI) and Stochastic Momentum Index (SMI) indicators are all in the early stages of their ramp. Also the green dot appeared on the MACD indicator this week. That usually happens in the 2nd week of the move. Again, that means early stage. Once the MACD crosses 0 is when upward momentum starts reinforcing itself, and the big moves begin. It can happen quickly. Today was options expiration (OpEx), so that's likely why it barely moved. It was pinned. Now that the options are expired suddenly price becomes unpinned, letting stocks and the market move freely. Next week is going to be interesting.

Financelot

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I interviewed the dev of the best Polymarket bot His bot trades BTC Up/Down markets automatically 24/7 Result? +$650k each month passively Here're the tips he gave me on how to create the same bot: First thing: stop trying to predict Better build a system that reacts. His bot doesn’t guess tops or bottoms, but waits for confluence. Core stack: • EMA (defines trend: filters chop) • VWAP (shows fair value: avoid bad entries) • OBV (confirms money flow: no volume = no trade) • RSI (detects extremes: don’t buy highs or sell lows) • MACD (confirms momentum) Then he adds a volatility filter. Most bots die because they trade in dead or chaotic markets. His doesn’t. Risk model is everything: • fixed % per trade • no overtrading • strict cooldown after losses And the real edge: the bot trades only when 3-4 signals align at once No signal = no trade. His wallet address: It’s not about being right more often. It’s about only playing when odds are clearly in your favor. That’s how you turn a bot from a toy into a machine.

I interviewed the dev of the best Polymarket bot His bot trades BTC Up/Down markets automatically 24/7 Result? +$650k each month passively Here're the tips he gave me on how to create the same bot: First thing: stop trying to predict Better build a system that reacts. His bot doesn’t guess tops or bottoms, but waits for confluence. Core stack: • EMA (defines trend: filters chop) • VWAP (shows fair value: avoid bad entries) • OBV (confirms money flow: no volume = no trade) • RSI (detects extremes: don’t buy highs or sell lows) • MACD (confirms momentum) Then he adds a volatility filter. Most bots die because they trade in dead or chaotic markets. His doesn’t. Risk model is everything: • fixed % per trade • no overtrading • strict cooldown after losses And the real edge: the bot trades only when 3-4 signals align at once No signal = no trade. His wallet address: It’s not about being right more often. It’s about only playing when odds are clearly in your favor. That’s how you turn a bot from a toy into a machine.

Oracle Boar

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🚨 Imagine: buying at 48-68¢ and selling at 100¢. Again. And again. And again. Result: $80k+ in a week without a single emotion. Trader Hcrystallash just surpassed $106,324.71 in total lifetime profit, making over 10,605 automated predictions. It's not luck. It's structural alpha. He created a custom parser that feeds real-time market tick data into a probability matrix driven by 0xomega and Hilbert to mathematically estimate 5-minute noise. The strategy is based on a pure, clinical mean reversion system. No guesswork. Here's the exact logic the bot executes: ⚙️ Main Stack: VWAP + RSI(14) + ATR + Volume + MACD The bot intentionally avoids breakouts and ignores midband fluctuations. It operates strictly under the assumption that a low ATR is required to confirm price compression before any trading strategy can be validated. 🔴 Trigger for a short position (DOWN): • Price is covered by a perfectly flat VWAP • RSI(14) shows overbought conditions • Buying volume is decreasing • Confirmation: MACD divergence (price makes a higher high, MACD makes a lower high) 🟢 Trigger for a long position (UP): • Price is covered by the VWAP • RSI(14) shows oversold conditions • Weak selling volume (sellers are exhausted) • Confirmation: MACD divergence (price makes a lower low, MACD makes a higher low) ⚠️ Note about MACD: The bot is programmed to strictly ignore regular MACD crossovers. It trades only on divergences. Once these conditions are met, the parser feeds the data into the 0xomega and Hilbert models to calculate the true mathematical probability of mean reversion before executing the position. Look at the feed. They buy at 48-68 cents and wait for the price to stabilize at 100 cents. Over and over again. This isn't theory, it's real-time execution with confirmed results. Hcrystallash is making money, while most are overtrading on the noise. Copy trading here:

🚨 Imagine: buying at 48-68¢ and selling at 100¢. Again. And again. And again. Result: $80k+ in a week without a single emotion. Trader Hcrystallash just surpassed $106,324.71 in total lifetime profit, making over 10,605 automated predictions. It's not luck. It's structural alpha. He created a custom parser that feeds real-time market tick data into a probability matrix driven by 0xomega and Hilbert to mathematically estimate 5-minute noise. The strategy is based on a pure, clinical mean reversion system. No guesswork. Here's the exact logic the bot executes: ⚙️ Main Stack: VWAP + RSI(14) + ATR + Volume + MACD The bot intentionally avoids breakouts and ignores midband fluctuations. It operates strictly under the assumption that a low ATR is required to confirm price compression before any trading strategy can be validated. 🔴 Trigger for a short position (DOWN): • Price is covered by a perfectly flat VWAP • RSI(14) shows overbought conditions • Buying volume is decreasing • Confirmation: MACD divergence (price makes a higher high, MACD makes a lower high) 🟢 Trigger for a long position (UP): • Price is covered by the VWAP • RSI(14) shows oversold conditions • Weak selling volume (sellers are exhausted) • Confirmation: MACD divergence (price makes a lower low, MACD makes a higher low) ⚠️ Note about MACD: The bot is programmed to strictly ignore regular MACD crossovers. It trades only on divergences. Once these conditions are met, the parser feeds the data into the 0xomega and Hilbert models to calculate the true mathematical probability of mean reversion before executing the position. Look at the feed. They buy at 48-68 cents and wait for the price to stabilize at 100 cents. Over and over again. This isn't theory, it's real-time execution with confirmed results. Hcrystallash is making money, while most are overtrading on the noise. Copy trading here:

m|i|ster

69,926 Aufrufe • vor 6 Monaten

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VALIX

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VALIX

47,336 Aufrufe • vor 2 Monaten

I vibe-coded a bot for the 5M / 15M BTC markets on Polymarket. Releasing it for you for free. Open source (Python). I just earned $400 today on Polymarket with this tool myself It doesn’t trade It just prints a signal in the console: UP or DOWN 🔸 The signal appears a few seconds before the Polymarket market actually moves. The bot exploits a Chainlink oracle inefficiency. What matters is that it consistently gives you a 4-8 second lead over the actual quotes on Polymarket. In practice, you’re seeing a few seconds into the future. What you can do with it: 🔸 Possible strategies: 1/ Momentum sniper Bot gives a signal -> instant entry into the current 5-minute market in the direction of the signal (Yes/No). Works best during strong moves >0.3-0.5%. 2/ Last-second scalp before market expiration 3-12 seconds before the 5-minute candle closes, you already see where the BTC candle is going to close. -> Enter Polymarket at the very last moment. 3/ Hedging + arbitrage Strong signal against the current Yes/No price -> hedge your position or catch crowd squeezes. Especially juicy in the final seconds, when odds are still fat, but the outcome is almost decided. 🔸 This is pure price update inefficiency. Open the 5M or 15M BTC market yourself. Run the bot. Watch who moves first. Until this gets tightened up - it’s a clean inefficiency. And yes, if you ape your entire deposit into it, the market will punish you fast. 🔸 But as a tool - this is the closest thing to a "Polymarket money printer" setup I’ve seen recently. Python bot setup instructions on GitHub: DYOR. Print hard, print smart.

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0xLanister

18,750 Aufrufe • vor 7 Monaten

He used Claude to build a trading bot on Polymarket Result: +$110,343 in 1.5 months His bot trades short-term crypto Up/Down markets, combining a hybrid of 2 components: 1. Temporal arbitrage between Up and Down: the bot accumulates both sides at different moments, trying to get the combined cost below $1 2. Directional residual: when his algorithm gives a strong signal, the bot increases one side and creates a directional skew His Polymarket username: bosona Using this strategy, clean execution, and a strong mathematical model, he turned $20k into $110k

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VALIX

36,453 Aufrufe • vor 2 Monaten

This guy built an HFT algorithm on Polymarket that trades markets with an average trade size of $60 Result: +$254,000 His bot trades short-term crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and volatility harvesting: 1. It finds mispricing using its own model It receives spot/perp data for the underlying asset and constantly compares it with prices on Polymarket The model also analyzes volatility, momentum, acceleration, and order-flow imbalance, then buys when it detects mispricing 2. When the signal reverses, it starts accumulating the opposite side as a hedge If the underlying asset changes direction, it starts buying the opposite outcome. This reduces its net directional exposure If both sides can be bought cheaply enough, part of the position turns into complete sets His Polymarket nickname: antsaslyku Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from identifying the stronger outcome and properly managing its open positions

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VALIX

28,194 Aufrufe • vor 1 Monat

This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital

This trader made +$265,478 on Polymarket with his HFT algorithm and a median trade size of $29 His bot trades the microstructure of short-term crypto Up/Down markets, combining late-resolution sniping with hedging Its strategy: 1. Constantly recalculates Up/Down probability based on order book depth, reference price, and spot feeds 2. As the signal gets confirmed, it increases the position: the median first buy is 91¢, while the final buy is 99¢ 3. In 88.2% of markets, it buys only one outcome, while using the opposite side as a hedge when the signal changes It waits for the moment when there is no longer enough time left for the outcome to change, then increases its position in the almost-confirmed side His Polymarket nickname: BoneOhio You can build your own trading bot here: (Trial period available after registration) The main edge of this guy’s algorithm appears closer to resolution, when the outcome is already almost determined, but the winning side can still be bought for 98-99¢ That’s how he steadily grows his capital

VALIX

44,885 Aufrufe • vor 1 Monat

This guy built an HFT algorithm on Polymarket with an average trade size of $23 Result: +$216,633 His bot trades crypto Up/Down markets using a hybrid of directional trading, dynamic hedging, and partial complete-set accumulation: 1. It looks for directional edge using its own fair probability It constantly compares its estimated probability of Up and Down with current Polymarket prices and enters positions when it sees mispricing 2. When the signal changes, it buys the opposite outcome Instead of closing the original position, it starts accumulating the other side. Part of the inventory gradually turns into paired Up + Down positions The median cost of a pair is around $0.945 3. It keeps a directional residual The median inventory imbalance is around 40% of total shares The matched part of the position captures structural edge, while the remaining inventory continues working in the direction of the model’s current signal His Polymarket nickname: pspspsps5 Follow this account and trade on Polymarket through this app: The main edge of this guy’s algorithm comes from combining two mechanics: First, it accumulates the outcome that its model considers undervalued. Then, when the market changes, it uses the opposite side as a dynamic hedge and builds complete sets

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VALIX

36,397 Aufrufe • vor 1 Monat

This guy built an HFT algorithm on Polymarket with an average trade size of $23.59 Result: +$246,578 The bot trades short-term crypto Up/Down markets using dynamic hedging and a directional residual: 1. First buys the outcome its model considers underpriced It continuously estimates the fair probabilities of Up and Down and compares them with prices on Polymarket The bot builds a position whenever it detects a mispricing 2. Buys the opposite side when the signal changes If the underlying asset reverses, it does not close its initial position. Instead, it starts accumulating the opposite outcome It bought both sides in 90% of markets 3. Turns part of the position into complete sets below $1 In two-sided markets, the median combined cost of Up and Down is 94.5c But this is not pure arbitrage The median inventory imbalance is 40%, so after pairing both sides, the algorithm is left with a directional residual Its Polymarket account: pspspsps5 You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from continuously shifting directional exposure as its fair probability estimates change, while purchases of the opposite outcome function either as a hedge or as part of a complete set

This guy built an HFT algorithm on Polymarket with an average trade size of $23.59 Result: +$246,578 The bot trades short-term crypto Up/Down markets using dynamic hedging and a directional residual: 1. First buys the outcome its model considers underpriced It continuously estimates the fair probabilities of Up and Down and compares them with prices on Polymarket The bot builds a position whenever it detects a mispricing 2. Buys the opposite side when the signal changes If the underlying asset reverses, it does not close its initial position. Instead, it starts accumulating the opposite outcome It bought both sides in 90% of markets 3. Turns part of the position into complete sets below $1 In two-sided markets, the median combined cost of Up and Down is 94.5c But this is not pure arbitrage The median inventory imbalance is 40%, so after pairing both sides, the algorithm is left with a directional residual Its Polymarket account: pspspsps5 You can build your own trading bot here: (A trial is available after signing up) The main edge of this HFT algorithm comes from continuously shifting directional exposure as its fair probability estimates change, while purchases of the opposite outcome function either as a hedge or as part of a complete set

VALIX

77,671 Aufrufe • vor 12 Tagen

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

This guy built an HFT bot on Polymarket with an average trade size of $8 Result: +$243,619 His bot trades 5- and 15-minute crypto Up/Down markets using a directional latency strategy with fast position switching: 1. It looks for latency between external crypto markets and Polymarket It gets the underlying price from external sources and tracks momentum, acceleration, order-flow imbalance, and distance from the starting price of the current window Based on this data, it constantly recalculates its own fair probability for Up and Down 2. It trades mispricing before Polymarket fully reprices If the external market has already moved, but the outcome price is still lagging, the algorithm sees an edge and starts building a position 3. It quickly changes direction and dynamically hedges the old position If the signal reverses, it can sell the old side or start accumulating the opposite outcome, constantly rebuilding its net exposure His Polymarket nickname: nj23adsknml3 You can build your own trading bot here: (A trial period will be available after registration) This guy’s edge is built on speed. The bot tries to detect changes in external market prices before they are fully reflected on Polymarket, then quickly rebuilds its position after every new signal It repeats this micro edge thousands of times and keeps growing its capital

VALIX

84,178 Aufrufe • vor 1 Monat

This guy built a trading bot with Claude and made $123,000 on Polymarket His bot makes 103.8 trades per hour, or 1.73 trades per minute, and trades as a systematic high-frequency directional hedging bot on short-term BTC/ETH markets His strategy is simple: > Enters positions at the start of new 5 and 15-min windows at around 0.50 > When the asset starts moving, it adds to the side that becomes more likely according to its signal > Uses the other side as a hedge His Polymarket account: With this strategy, he turned $19,700 into $123,000 in 2.5 months

This guy built a trading bot with Claude and made $123,000 on Polymarket His bot makes 103.8 trades per hour, or 1.73 trades per minute, and trades as a systematic high-frequency directional hedging bot on short-term BTC/ETH markets His strategy is simple: > Enters positions at the start of new 5 and 15-min windows at around 0.50 > When the asset starts moving, it adds to the side that becomes more likely according to its signal > Uses the other side as a hedge His Polymarket account: With this strategy, he turned $19,700 into $123,000 in 2.5 months

VALIX

15,939 Aufrufe • vor 3 Monaten

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Alan Oppenheim, MIT professor: "Every trader alive uses a moving average. Almost none of them know it's a filter, and funds pay quants $600K for the version they were never taught." a moving average is a filter. it smooths a jumpy price to reveal the slower signal hiding underneath. that is all it is, and it is the bluntest one there is. the same math gives you filters that lag less and cut more noise, and that gap is a real edge. this is the second half of what Simons was doing. first you accept the market is a signal buried in noise. then you build the filter that reads it, and the moving average on your chart is the crudest possible version. Oppenheim builds the real ones at the board in this lecture. here is the catch. a filter only helps if there is a real signal under the noise. smooth pure randomness and you will see a beautiful trend that means nothing. the filter is free. knowing there is a real signal worth filtering is the edge.

Rossst.03

214,907 Aufrufe • vor 3 Monaten

The best technical risk on, risk off indicator in the market, especially if you’re a trend follower like me, is the weekly MACD (6,20,9). Once MACD crosses down and price loses its uptrend, just wait for the first weekly close with a MACD up cross. That’s your confirmation. You don’t need breadth. You don’t need sentiment. You don't need NAAIM. You don't need COCK data. You don't need an over complicated dashboard. You don’t need any other indicator. All of these things are noise. You only need PRICE and MACD. Don’t believe me? Go back and look for yourself across any time period, then be the judge. MACD is a timing tool. This concept applies across all timeframes, even intraday, where it helps you dial in precise entries while aligning with higher timeframe key levels. It took me five years of relentless study and commitment to continuous improvement to boil risk on down to something this simple. If you follow a system like this with discipline, and you aren’t already, your results should go parabolic. Hope this helps. Let me know if you have questions.

The best technical risk on, risk off indicator in the market, especially if you’re a trend follower like me, is the weekly MACD (6,20,9). Once MACD crosses down and price loses its uptrend, just wait for the first weekly close with a MACD up cross. That’s your confirmation. You don’t need breadth. You don’t need sentiment. You don't need NAAIM. You don't need COCK data. You don't need an over complicated dashboard. You don’t need any other indicator. All of these things are noise. You only need PRICE and MACD. Don’t believe me? Go back and look for yourself across any time period, then be the judge. MACD is a timing tool. This concept applies across all timeframes, even intraday, where it helps you dial in precise entries while aligning with higher timeframe key levels. It took me five years of relentless study and commitment to continuous improvement to boil risk on down to something this simple. If you follow a system like this with discipline, and you aren’t already, your results should go parabolic. Hope this helps. Let me know if you have questions.

peoplewish

81,841 Aufrufe • vor 6 Monaten

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging

This trader built a trading bot on Polymarket and made +$149,305 His bot trades 5-minute crypto Up/Down markets using its own probability model and dynamic exposure management: 1. It looks for undervalued outcomes based on its model It pulls underlying asset data from external sources, compares it with the current Polymarket price, and enters a position when it sees mispricing The model factors in distance from the reference price, momentum, volatility, time to resolution, and order flow 2. When the signal weakens, it reduces the position or adds the opposite outcome If the initial edge disappears, it can partially reduce the position If the signal fully reverses, it starts buying the opposite outcome as a dynamic hedge His Polymarket nickname: trinity42 Follow this account and trade on Polymarket through this app: The main edge of this algorithm comes from the accuracy of its probability model and effective position management through hedging

VALIX

26,313 Aufrufe • vor 1 Monat

📈 Bullish Divergence: One of the Most Powerful Bottoming Signals The biggest rallies often begin when fear is at its highest. A bullish divergence forms when price makes a lower low, but momentum makes a higher low. It’s a clue that sellers may be running out of steam and buyers are quietly stepping in. 🎯 What I look for: ✅ Price makes a lower low ✅ RSI/MACD prints a higher low ✅ Volume starts improving ✅ Trendline or resistance breaks for confirmation ✅ Risk is defined before entry Don’t try to catch every bottom. Wait for confirmation, manage your risk, and let the probabilities work in your favor. Save this post for the next market pullback and tag a trader who needs to see it. 🚀 #StockMarket #Trading #BullishDivergence #TechnicalAnalysis #PriceAction #SwingTrading #OptionsTrading #RSI #MACD #ChartPatterns #MarketEducation #TradingTips #Investing #DayTrading #Momentum #MarketStructure #TraderLife #Finance #Stocks #LearnToTrade

📈 Bullish Divergence: One of the Most Powerful Bottoming Signals The biggest rallies often begin when fear is at its highest. A bullish divergence forms when price makes a lower low, but momentum makes a higher low. It’s a clue that sellers may be running out of steam and buyers are quietly stepping in. 🎯 What I look for: ✅ Price makes a lower low ✅ RSI/MACD prints a higher low ✅ Volume starts improving ✅ Trendline or resistance breaks for confirmation ✅ Risk is defined before entry Don’t try to catch every bottom. Wait for confirmation, manage your risk, and let the probabilities work in your favor. Save this post for the next market pullback and tag a trader who needs to see it. 🚀 #StockMarket #Trading #BullishDivergence #TechnicalAnalysis #PriceAction #SwingTrading #OptionsTrading #RSI #MACD #ChartPatterns #MarketEducation #TradingTips #Investing #DayTrading #Momentum #MarketStructure #TraderLife #Finance #Stocks #LearnToTrade

ProblemSniper

19,986 Aufrufe • vor 2 Monaten

Bitcoin is down today, dipping below $63K ahead of the Fed decision. “Buy the dip” is easy to say. Knowing when momentum actually supports a potential entry is harder. You can use oversold signals to identify when selling pressure is stretched, then watch for momentum to turn before entering. Set an Overbought / Oversold Alpha Signal in HeySorin.AI and get notified when your condition hits across $BTC, $ETH, and other crypto markets without staring at charts all day. 20 seconds to set up. Link in bio.

Bitcoin is down today, dipping below $63K ahead of the Fed decision. “Buy the dip” is easy to say. Knowing when momentum actually supports a potential entry is harder. You can use oversold signals to identify when selling pressure is stretched, then watch for momentum to turn before entering. Set an Overbought / Oversold Alpha Signal in HeySorin.AI and get notified when your condition hits across $BTC, $ETH, and other crypto markets without staring at charts all day. 20 seconds to set up. Link in bio.

Sahara AI 🔆

13,141 Aufrufe • vor 2 Monaten

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month

He built a trading bot on Polymarket with Claude Result: +$66,295 in 1 month His bot trades short-term crypto Up/Down markets using a strategy with 4 core elements: 1. Right after a market opens, it calculates the probability of Up and Down 2. If its own estimate differs from the price on Polymarket, it buys the undervalued outcome 3. When the move is confirmed, it increases the position, even if the price has become more expensive 4. If the signal changes, it starts buying the opposite side as a hedge or to flip the position His Polymarket username: uninformedfloww He captures a consistent edge through a large number of trades with positive expected value That’s how he made +$66k in one month

VALIX

15,778 Aufrufe • vor 2 Monaten