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This guy used Grok Bot to build a Quant Linear Regression system and it made $4,065 a day on Polymarket The result is already +$508,183 PnL in 125 days with about $258 per average trade, repeating the same setup 33 times every hour across BTC "Up or Down" markets... Several AI agents work together as one algorithm: 1. Linear Regression measures the direction and speed of the current move Instead of reacting to a single tick, the bot fits a line through the latest BTC or ETH data: Slope = Cov(Time, Level) / Var(Time) Positive slope → Up bias Negative slope → Down bias The steeper the slope, the stronger the short-term directional move 2. R² measures whether that move is clean enough to trust A strong slope means little if the underlying is moving randomly around it The system calculates: R² = 1 - SSE / SST Where: SSE = movement not explained by the regression SST = total movement High R² → the move follows a consistent direction Low R² → the move is mostly noise The bot acts when the regression shows both a strong slope and high consistency This is the first agent that will create a trading bot strategy for you and then build it: This trader’s Polymarket account: mo-money Most profitable trades: $1,666 → $4,175 (+$2,509) $1,120 → $3,556 (+$2,436) $587 → $2,609 (+$2,022) The system uses regression slope to find direction and R² to filter out noisy movesshow more

Daniro

8,623 subscribers

79,354 просмотров • 1 месяц назад •via X (Twitter)

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Комментарии: 7

Фото профиля swapcherry

swapcherry1 месяц назад

33 times an hour is insane

Фото профиля Ai Turning Futures

Ai Turning Futures1 месяц назад

This is an inaccurate post.

Фото профиля niko tesle

niko tesle1 месяц назад

@grok v’est vrai ? Et commét faire de l'argent sur polymarket

Фото профиля Teraliq Quant

Teraliq Quant1 месяц назад

$258/trade × 33 setups/hr ≈ $8.5k/hr, but you cite $4,065/day — which is it? Is the $508k live or backtested? Would love to see the losing days.

Фото профиля otaku monarch

otaku monarch1 месяц назад

This is fake news just paste it on grok.. grok will tell u is fake nes

Фото профиля S0SA

S0SA1 месяц назад

@JJChagerben357 que opinas de la IA para ganar dinero?

Фото профиля Rocky S

Rocky S1 месяц назад

@grok clone this

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This guy used Grok Bot to build a Quant Adaptive Efficiency system and it made $4,287 a day on Polymarket The result is already +$643,240 PnL in 150 days, with an average trade size of about $38.62 and the same setup repeated about 52 times per active hour across BTC “Up or Down” markets Several AI agents work together as one algorithm: 1. Efficiency Ratio measures how consistently BTC is moving The first agent compares the net price change with the total distance the price has traveled: ER = |Sₜ − Sₜ₋ₙ| / Σ|ΔS| Where: > Sₜ = current BTC price > Sₜ₋ₙ = BTC price at the start of the window > Σ|ΔS| = sum of absolute price changes within that window ER closer to 1 → more consistent directional movement ER closer to 0 → movement is mostly back and forth 2. KAMA adjusts its response speed to match those conditions The update factor is calculated using ER: α = [ER × (Fast − Slow) + Slow]² Then: KAMAₜ = KAMAₜ₋₁ + α × (Sₜ − KAMAₜ₋₁) Fast and Slow are the smoothing factors 2/(N + 1) for the short and long periods With higher ER, the line follows price faster. With lower ER, it adjusts more slowly BTC above a rising KAMA → Up bias BTC below a falling KAMA → Down bias The system considers new entries when ER passes the chosen filter and price aligns with KAMA’s direction This trader’s Polymarket account: Top trades: $4,588.09 → $7,904.50 (+$3,316.41) $1,578.23 → $4,811.28 (+$3,233.05) $2,215.59 → $5,305.15 (+$3,089.56) ER measures the consistency of the move, while KAMA uses that reading to adjust its response speed and identify direction

VALIX

13,492 просмотров • 7 дней назад

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QuantFinanceToGo

59,100 просмотров • 1 месяц назад

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VALIX

15,939 просмотров • 5 месяцев назад

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VALIX

22,249 просмотров • 27 дней назад

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VALIX

36,453 просмотров • 3 месяцев назад

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This guy used Claude Fable 5.1 to build a Quant Vortex Structure system and it made $3,475 a day on Polymarket The result is already +$319,684.59 PnL in 92 days with about $30.58 per average trade, repeating the same setup about 131.02 times per active hour across BTC Up/Down markets Several AI agents work together as one algorithm: 1. Vortex identifies direction by comparing consecutive BTC candles The first agent compares the current highs and lows with those of the previous candle: VI⁺ = Σₙ|Hₜ − Lₜ₋₁| / ΣₙTR VI⁻ = Σₙ|Lₜ − Hₜ₋₁| / ΣₙTR Where: > H and L = candle high and low > TR = true range, accounting for the previous close > n = number of candles in the window VI⁺ > VI⁻ → Up bias VI⁻ > VI⁺ → Down bias 2. Choppiness Index checks whether those movements form a consistent direction The second agent compares the combined candle ranges with the full price range over the same window: CHOP = 100 × log₁₀(ΣₙTR / (Hmax − Lmin)) / log₁₀(n) Where: Hmax − Lmin = full price range over n candles Lower CHOP indicates more directional movement. Higher CHOP indicates more back-and-forth movement within the range The system only considers the side identified by Vortex when CHOP falls below the selected threshold His Polymarket account: Top trades: $1,590.56 → $4,044.03 (+$2,453.47) $1,616.27 → $3,983.90 (+$2,367.63) $1,584.39 → $3,516.82 (+$1,932.43) Vortex identifies direction, while CHOP filters out entries when price movement consists mostly of back-and-forth swings

VALIX

40,787 просмотров • 6 дней назад

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VALIX

11,581 просмотров • 16 дней назад

This guy built a trading bot with Claude and made $74,000 on Polymarket His bot trades the microstructure of short-term Up/Down markets through high-frequency accumulation of two-sided positions with directional exposure His strategy has six steps: 1. At the start of each 5-minute market, it records the current Bitcoin or Ethereum price 2. It then tracks the asset’s movement, remaining time, short-term momentum, and volatility 3. Based on this data, it calculates its own fair probability for Up and Down 4. It buys an outcome when the market price appears undervalued 5. If the asset’s price direction changes, the bot may first buy Up and then start buying Down 6. The opposite side partially hedges the accumulated position, while the remaining directional exposure creates the edge This guy’s Polymarket account: Using this strategy, he maintains positive expected value and consistently grows his deposit

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VALIX

25,678 просмотров • 4 месяцев назад

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He built a trading bot on Polymarket with Claude Result: +$198,045 in 4 months His bot trades the microstructure of short-term crypto Up/Down markets using a hybrid high-frequency strategy with 3 core elements: 1. Builds a directional position by choosing the Up or Down outcome that is currently undervalued relative to his model 2. If the market movement changes, it starts buying the opposite side as a hedge or to flip the position 3. If it sees an arbitrage opportunity, it builds a full set of Up and Down His Polymarket account: Using this strategy, he captures a consistent edge and repeats it thousands of times That’s how he keeps growing his capital

VALIX

28,693 просмотров • 3 месяцев назад

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Daniro

12,012 просмотров • 5 месяцев назад

Sine or cosine? On a slope, it's the bit almost everyone has to stop and think about. 📐 Turn the slope until it's flat, and the weight is just a tilted force on normal axes. The angle touches the vertical axis, so the part into the slope is mg cos θ and the part down it is mg sin θ. Sine for slope, C for contact. #maths #mechanics #physics #forces #alevelmaths

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mathsy.io

100,500 просмотров • 10 дней назад

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VALIX

152,711 просмотров • 5 месяцев назад

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VALIX

15,778 просмотров • 3 месяцев назад

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it

This guy built an HFT bot on Polymarket with Claude Result: +$174,125 in 2 months His bot trades 5 and 15-minute crypto Up/Down markets using a directional strategy with a dynamic hedge: 1. Constantly calculates its own probability for Up and Down 2. Buys the side where its model sees an edge 3. When the underlying asset reverses, it doesn’t close the position. Instead, it starts accumulating the opposite outcome This is how the algorithm constantly changes its net exposure inside each market The opposite side is used as a dynamic hedge, while the remaining exposure forms the directional position > Average trade: $14.68 > Trades/active hour: 131 > Win Rate: 52% His Polymarket account: This bot constantly recalculates probabilities and adapts its position to every new market move Using this strategy, it captures a micro edge and steadily grows its capital Save this so you don’t lose it

VALIX

27,376 просмотров • 3 месяцев назад

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

This trader used Claude to build a Quant Bot and made +$232,136 on Polymarket Since Mar 25, this wallet has been averaging about $3,180 in profit per day and a little over 7 trades per hour 13,070 predictions with a 47% win rate in 73 days This trader’s Polymarket account: This trader has put in $248.9K in deposits, which puts him at roughly +93% ROI The bot strategy is simple: >It waits for prices to lag behind the move gets filled before the market fully catches up >Then keeps recycling the same setup across many entries >One trade is not the story here. The result comes from repeating the same edge over and over until it compounds into a large PnL Most profitable trades: $6,757 → $24,330 (+$17,573, +260.06%) $7,597 → $23,943 (+$16,346, +215.15%) $11,472 → $27,672 (+$16,200, +141.21%) It is a repeatable process: find the lag, enter early, and keep pressing the same advantage until the gap disappears

Daniro

54,383 просмотров • 5 месяцев назад

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

This guy built a trading bot with Claude and made $193,000 on Polymarket His bot trades the microstructure of short BTC Up / Down markets through limit orders and combines a hybrid of arbitrage, market making, and hedging His strategy is simple: > Enters a position when it sees mispricing > Then buys the opposite outcome, turning part of the trade into a paired arb > The base position is hedged with the pair, while the rest remains as a directional trade This guy’s Polymarket account: Using this strategy, he captures an average edge of 2-3% and repeats it hundreds of times Consistent micro edge + clean execution = lifechange

VALIX

98,892 просмотров • 5 месяцев назад

This guy built a trading bot with Claude and made $96,500 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets and buys outcomes at an average order size of $26.40 His strategy is simple: > Buys both sides to build a balanced position with a combined Up + Down cost below $1 > Tracks the asset’s current price, price velocity, time remaining, and exchange quotes > When its probability model detects a strong signal, it increases exposure to one side and builds a directional position This guy’s Polymarket account: By combining arbitrage with directional trading, he consistently grows his capital

This guy built a trading bot with Claude and made $96,500 on Polymarket His bot trades the microstructure of short-term crypto Up/Down markets and buys outcomes at an average order size of $26.40 His strategy is simple: > Buys both sides to build a balanced position with a combined Up + Down cost below $1 > Tracks the asset’s current price, price velocity, time remaining, and exchange quotes > When its probability model detects a strong signal, it increases exposure to one side and builds a directional position This guy’s Polymarket account: By combining arbitrage with directional trading, he consistently grows his capital

VALIX

16,526 просмотров • 4 месяцев назад

quant funds spend millions hiring people who know a formula you learned in 10th grade and never applied to a price chart y = mx + b. that's it linear regression - same math from high school most traders learned, ignored, and forgot existed what quants actually figured out: asset prices don't move randomly, they drift and revert with measurable slope regression separates signal from noise. slope tracks trend, residuals measure the deviation when deviation gets large enough, that's the trade - prices tend to snap back to the line quants call it "mean reversion." retail calls it "a dip" actual workflow: > pull 5 years of daily returns > run OLS, extract beta and residuals > z-score the residuals > entries at -2 standard deviations, exits at 0 retail draws trend lines by hand and calls it analysis Bookmark this ^ data is public, math is free, approach has been in papers since the 1980s 99% of traders have never built one signal this way it was never an information gap - always been a methodology gap, and that's the kind that compounds

quant funds spend millions hiring people who know a formula you learned in 10th grade and never applied to a price chart y = mx + b. that's it linear regression - same math from high school most traders learned, ignored, and forgot existed what quants actually figured out: asset prices don't move randomly, they drift and revert with measurable slope regression separates signal from noise. slope tracks trend, residuals measure the deviation when deviation gets large enough, that's the trade - prices tend to snap back to the line quants call it "mean reversion." retail calls it "a dip" actual workflow: > pull 5 years of daily returns > run OLS, extract beta and residuals > z-score the residuals > entries at -2 standard deviations, exits at 0 retail draws trend lines by hand and calls it analysis Bookmark this ^ data is public, math is free, approach has been in papers since the 1980s 99% of traders have never built one signal this way it was never an information gap - always been a methodology gap, and that's the kind that compounds

Livsun

28,936 просмотров • 5 месяцев назад

PUTTING IQ TEST 🤓 Two 10 footers, one is down the slope, one is up the slope. If both of these putts are hit at the exact same time, which putt is going to get to the hole first?

PUTTING IQ TEST 🤓 Two 10 footers, one is down the slope, one is up the slope. If both of these putts are hit at the exact same time, which putt is going to get to the hole first?

Brad Faxon

797,633 просмотров • 3 лет назад

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

He built a trading bot on Polymarket with Claude Result: +$201,827 in 1.5 months His bot trades the microstructure of short-term crypto Up/Down markets using a strategy with 5 core elements: 1. Calculates a fair value for Up and Down, then buys the undervalued outcome 2. To do this, it analyzes the current deviation from the starting price, the order book, short-term momentum, current volatility, and movement speed 3. If the underlying asset starts moving in the opposite direction, it buys the second side 4. Buying the second outcome works either as a hedge or as a way to build a paired position below $1 5. It leaves the unhedged remainder as a directional position if its model sees that outcome as more likely His Polymarket username: mo-money Using this strategy, he captures a consistent edge and keeps growing his capital That’s how he turned $19.7k into $201.8k in 1.5 months of trading His best trades: $151.64 -> $1,322.07 (+771.83%) $225.00 -> $1,749.64 (+677.63%) $222.00 -> $1,376.68 (+520.12%)

VALIX

19,500 просмотров • 3 месяцев назад