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This guy used Grok Bot to build a Quant EMA system and it made $4,497 a day on Polymarket The result is already +$692,556 PnL in 154 days with about $518 per average trade, repeating the same setup 34 times every hour across BTC "Up or Down" markets Several...

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Daniro

6,202 subscribers

49,768 просмотров • 6 дней назад •via X (Twitter)

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Комментарии: 14

Фото профиля Sunit
Sunit5 дней назад

Hey, what do you think about lmsr based prediction markets?

Фото профиля Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBack5 дней назад

@Dan1ro0 be careful tracking slippage too. It can add up fast when trading that frequently.

Фото профиля inachu
inachu6 дней назад

@grok give me this code in html only to run offline

Фото профиля inachu
inachu6 дней назад

@grok I don’t think this is real

Фото профиля qwinsi
qwinsi5 дней назад

34 trades an hour is wild. At that scale, execution probably matters just as much as EMA + RSI

Фото профиля Fapah
Fapah5 дней назад

Joker

Фото профиля Hrundel75 🐷
Hrundel75 🐷5 дней назад

this is pure gold

Фото профиля Sophie j,
Sophie j,6 дней назад

Facts!

Фото профиля 𖥧 sophie ᯓ★
𖥧 sophie ᯓ★6 дней назад

Well said!

Фото профиля wast3
wast35 дней назад

smart traders will never run out

Фото профиля Abdurrahim TÜRK
Abdurrahim TÜRK5 дней назад

Yani metindeki sistemle videodaki arayüz aynı şeyi söylemiyor. Bu bir tanıtım klibi, hesap dökümü değil. Günde 4.497 dolar, EMA, RSI, Polymarket ya da "BTC Up or Down" yazısı ekranda görünmüyor. Onun yerine SPOTTER, KELLY, TAKER, CLOSER, "BAYESIAN UPDATE" ve bir mum grafiği var

Фото профиля Sophs n. ❀
Sophs n. ❀5 дней назад

87% win rate on 5m btc markets is a backtest that already knows the answer

Фото профиля VALIX
VALIX5 дней назад

Could you share more about EMA in your upcoming posts? I think a lot of people, myself included, would find it interesting

Фото профиля Greg Carson
Greg Carson5 дней назад

How did you do their animation? Is it live or just animation

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This guy built an HFT algorithm on Polymarket with an average trade size of $18.69 Result: +$88,641 The bot trades short-term crypto Up/Down markets using a passive maker grid, asynchronous accumulation, and a directional residual: 1. Places BUY limit orders across a fixed price grid It provides liquidity at multiple price levels in advance and waits for the orders to fill 2. Accumulates the opposite outcome as the market moves It bought both Up and Down in 63.6% of markets Orders on one side fill first. Once the market reprices, orders on the opposite side start filling Within each market, it switches between Up and Down a median of 2 times 3. Keeps part of its inventory directional After pairing both sides, a directional residual remains. The size of this residual becomes the main source of PnL In markets where it bought both sides, the outcome with the larger inventory won 53.7% of the time Its Polymarket account: 98euf98a Follow this account and trade on Polymarket through this app: The bot’s main edge comes from a two-part strategy: matched Up/Down positions reduce exposure, while the remaining directional residual drives most of its PnL

VALIX

44,690 просмотров • 21 дней назад

This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move
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This guy built a trading bot on Polymarket with an average trade size of $8 Result: +$251,218 His bot trades 5 and 15 minute crypto Up/Down markets using a hybrid of directional trading, latency edge, and dynamic hedging: 1. It looks for edge using its own model It tracks momentum, acceleration, order flow imbalance, and spot feeds relative to the reference price of the current market Based on this data, it constantly recalculates its own fair value for Up and Down. It enters a position when it detects mispricing 2. When the signal changes, it quickly adjusts its exposure If momentum reverses, it can reduce the existing side or start accumulating the opposite outcome In 86.2% of markets, it traded both sides. The dynamic hedge constantly adjusts net exposure based on the model’s latest signal It’s Polymarket nickname: nj23adsknml3 Follow this account and trade on Polymarket through this app: It’s stats: > Trades / active hour: 516 > Average trade: $8.13 > Win Rate: 49% The main edge of this guy’s HFT algorithm comes from speed. It tries to detect changes in fair value on external crypto markets before they are reflected in Polymarket prices It then captures the temporary mispricing and quickly adjusts its directional exposure with every new market move

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370,194 просмотров • 1 месяц назад

This guy built an HFT algorithm and made +$249,869 on Polymarket His bot trades 5-minute BTC Up/Down markets using a hybrid of passive market making, complete-set accumulation, and directional residual: 1. It uses BTC price movements to build Up + Down positions for less than $1 After the first buy, it waits for the underlying asset to move and then starts accumulating the opposite side For example: > Up = 41c -> some time later Down = 54c > Up + Down = 95c -> 5c gross edge The average cost of its complete sets is 96.73c, which means the average structural edge is around 3.27c 2. It leaves a small directional residual Around 81% of its inventory in 5-minute markets consists of paired Up + Down positions. The remaining 19% stays directional If its fair-value model considers one side undervalued, it doesn’t have to fully hedge it and can keep additional exposure It’s Polymarket nickname: almach Stats: > Trades / active hour: 150 > Average trade: $33.50 > Win Rate: 49% Ultimately, the edge of this guy’s algorithm comes from buying Up and Down at different points during BTC price movements, then turning most of the inventory into complete sets that cost less than $1 It keeps a small remainder directional when it’s own fair probability still shows an edge
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This guy built an HFT algorithm and made +$249,869 on Polymarket His bot trades 5-minute BTC Up/Down markets using a hybrid of passive market making, complete-set accumulation, and directional residual: 1. It uses BTC price movements to build Up + Down positions for less than $1 After the first buy, it waits for the underlying asset to move and then starts accumulating the opposite side For example: > Up = 41c -> some time later Down = 54c > Up + Down = 95c -> 5c gross edge The average cost of its complete sets is 96.73c, which means the average structural edge is around 3.27c 2. It leaves a small directional residual Around 81% of its inventory in 5-minute markets consists of paired Up + Down positions. The remaining 19% stays directional If its fair-value model considers one side undervalued, it doesn’t have to fully hedge it and can keep additional exposure It’s Polymarket nickname: almach Stats: > Trades / active hour: 150 > Average trade: $33.50 > Win Rate: 49% Ultimately, the edge of this guy’s algorithm comes from buying Up and Down at different points during BTC price movements, then turning most of the inventory into complete sets that cost less than $1 It keeps a small remainder directional when it’s own fair probability still shows an edge

VALIX

46,302 просмотров • 1 месяц назад

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.
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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.

Oracle Boar

40,451 просмотров • 6 месяцев назад

This guy built an HFT bot on Polymarket with a $50 average trade size Result: +$220,792 His bot trades 5-minute BTC/ETH Up/Down markets using a hybrid of inventory rebalancing, dynamic hedging, and accumulating cheap complete sets: 1. It builds complete sets so that Up + Down costs less than $1 It uses limit orders to buy different sides during different phases of the underlying asset’s movement Average cost of a matched complete set: $0.9387. Edge = 6.13¢ 2. It leaves directional residual on top of the hedged inventory Part of the capital gets a structural edge through pairing, while the rest keeps exposure on the side the algorithm sees as stronger For example: 200 Up + 150 Down 150 Up + 150 Down form complete sets, while the remaining 50 Up stay as a directional position You can build your own trading bot here: (Free trial available after registration) Stats: > Trades / active hour: 284 > Average trade: $49.8 > Win Rate: 50% His Polymarket nickname: hot-garbage This guy’s edge is built on two main layers: he turns most of his inventory into Up + Down < $1, while using the unmatched remainder as a directional position Using this strategy, he captures a consistent edge, repeats it thousands of times, and steadily grows his PnL
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This guy built an HFT bot on Polymarket with a $50 average trade size Result: +$220,792 His bot trades 5-minute BTC/ETH Up/Down markets using a hybrid of inventory rebalancing, dynamic hedging, and accumulating cheap complete sets: 1. It builds complete sets so that Up + Down costs less than $1 It uses limit orders to buy different sides during different phases of the underlying asset’s movement Average cost of a matched complete set: $0.9387. Edge = 6.13¢ 2. It leaves directional residual on top of the hedged inventory Part of the capital gets a structural edge through pairing, while the rest keeps exposure on the side the algorithm sees as stronger For example: 200 Up + 150 Down 150 Up + 150 Down form complete sets, while the remaining 50 Up stay as a directional position You can build your own trading bot here: (Free trial available after registration) Stats: > Trades / active hour: 284 > Average trade: $49.8 > Win Rate: 50% His Polymarket nickname: hot-garbage This guy’s edge is built on two main layers: he turns most of his inventory into Up + Down < $1, while using the unmatched remainder as a directional position Using this strategy, he captures a consistent edge, repeats it thousands of times, and steadily grows his PnL

VALIX

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This bot tracks the 15m markets on Polymarket and helps you time your entries properly Practical Trading Rules for > Rule 1: At least 3 indicators need to align - Only open a position when at least 3 indicators point the same direction. - Example of a strong SHORT signal: - TA Predict: SHORT 75%+ - Heiken Ashi: red x2+ - RSI: 60-75 (not oversold) - MACD: bearish - Delta 1/3m: both negative > Rule 2: Extreme RSI values - RSI 75 = high probability of reversal - Don't chase the trend in these zones. Wait for a bounce > Rule 3: Confirmation through Delta -If TA Predict shows LONG but Delta 1/3m is negative - the signal's weak. - If everything lines up - signal's strong. Rule 4: Entry timing - First 3-5 minutes of the round: use Delta 1m for quick decisions - 5-10 minutes: use RSI + MACD to assess the trend - Last 5 minutes: risky, price can reverse sharply > Rule 5: Risk management - Don't risk more than 5-10% of your bankroll on one trade. - If confidence is below 60% - skip the trade. Track your stats: which indicator combos work best for you

cryptovcdegen

44,138 просмотров • 8 месяцев назад

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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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

VALIX

36,397 просмотров • 1 месяц назад

This guy built a trading bot with Claude and made $96,000 on Polymarket with an average trade size of $3 His bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading His strategy has five steps: 1. Monitors multiple crypto markets 2. Calculates its own fair probability for Up and Down 3. Places orders at prices that keep the combined cost of Up + Down below $1 4. Manages the unhedged portion of the position 5. Keeps directional exposure when its model identifies one outcome as undervalued This guy’s Polymarket account: Using this strategy, he captures a small edge, repeats it thousands of times, and steadily grows his deposit
0:32

This guy built a trading bot with Claude and made $96,000 on Polymarket with an average trade size of $3 His bot trades crypto Up/Down markets using a hybrid strategy that combines two-sided market making, arbitrage, and directional trading His strategy has five steps: 1. Monitors multiple crypto markets 2. Calculates its own fair probability for Up and Down 3. Places orders at prices that keep the combined cost of Up + Down below $1 4. Manages the unhedged portion of the position 5. Keeps directional exposure when its model identifies one outcome as undervalued This guy’s Polymarket account: Using this strategy, he captures a small edge, repeats it thousands of times, and steadily grows his deposit

VALIX

86,634 просмотров • 3 месяцев назад

🚨 $BTC RELIEF RALLY REACHED KEY PIVOT The 50M EMA sits right around $65k - price got rejected from it and now accumulating below That level is now the pivot of this whole correction Every leg down this year has followed the same statistical script: relief rally into a major MA, rejection, then a lower low that flushes late longs Nothing about this bounce broke the script. It respected it perfectly If the structure keeps repeating, $59k is the next logical stop. The measured rhythm of this correction points there almost mechanically Bottoms don't form underneath macro resistance. They form when the last obvious support gives out and nobody has the stomach to buy it Below $59k the macro reversal conversation becomes real. Above it, everything is just noise inside a downtrend Scenario 1: Relief rally continues to fill $67k-$70k FVG Scenario 2: 50 EMA resistance hold, flush below $61k Follow + notifs on, I will keep you updated as this unfolds
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🚨 $BTC RELIEF RALLY REACHED KEY PIVOT The 50M EMA sits right around $65k - price got rejected from it and now accumulating below That level is now the pivot of this whole correction Every leg down this year has followed the same statistical script: relief rally into a major MA, rejection, then a lower low that flushes late longs Nothing about this bounce broke the script. It respected it perfectly If the structure keeps repeating, $59k is the next logical stop. The measured rhythm of this correction points there almost mechanically Bottoms don't form underneath macro resistance. They form when the last obvious support gives out and nobody has the stomach to buy it Below $59k the macro reversal conversation becomes real. Above it, everything is just noise inside a downtrend Scenario 1: Relief rally continues to fill $67k-$70k FVG Scenario 2: 50 EMA resistance hold, flush below $61k Follow + notifs on, I will keep you updated as this unfolds

Pepesso

21,920 просмотров • 2 месяцев назад

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
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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 просмотров • 1 месяц назад

This trader made +$177,981 on Polymarket with his HFT algorithm, with an average trade of $28 His bot makes around 150 trades per hour, or 2.5 trades per minute. It trades BTC, ETH, and SOL Up/Down markets, constantly comparing its own fair probability with the price on Polymarket Its strategy: 1. Buys the side where its model sees an edge 2. Continues increasing the position as the price moves, until the mispricing fully disappears 3. When the signal reverses, it buys the opposite outcome and turns part of the inventory into a dynamic hedge His nickname: std0 Follow this account and trade on Polymarket through this bot: Stats: > Total Deposit: $3.7K > Win Rate: 52% > PnL: +$178k Using this strategy and high-quality execution, he captures a micro edge and repeats it thousands of times That’s how he reached a 4,810% ROI in 5 months of trading
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This trader made +$177,981 on Polymarket with his HFT algorithm, with an average trade of $28 His bot makes around 150 trades per hour, or 2.5 trades per minute. It trades BTC, ETH, and SOL Up/Down markets, constantly comparing its own fair probability with the price on Polymarket Its strategy: 1. Buys the side where its model sees an edge 2. Continues increasing the position as the price moves, until the mispricing fully disappears 3. When the signal reverses, it buys the opposite outcome and turns part of the inventory into a dynamic hedge His nickname: std0 Follow this account and trade on Polymarket through this bot: Stats: > Total Deposit: $3.7K > Win Rate: 52% > PnL: +$178k Using this strategy and high-quality execution, he captures a micro edge and repeats it thousands of times That’s how he reached a 4,810% ROI in 5 months of trading

VALIX

62,559 просмотров • 1 месяц назад

This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set
0:25

This guy built an HFT algorithm on Polymarket with an average trade size of $35.88 Result: +$470,883 His algorithm trades short-term crypto Up/Down markets. It combines directional trading and dynamic hedging, while forming complete sets with part of its inventory: 1. Finds undervalued outcomes using its own fair value estimates It factors in the underlying asset’s price relative to the opening price, the time remaining, momentum, volatility, the speed of price movements, and spot/perp data If its model values Up at 65c and the price on Polymarket is 55c, it starts building a position 2. Buys the opposite side when the market changes direction If the underlying asset reverses direction, it starts buying the opposite outcome to reduce its net directional exposure This hedges part of its existing position 3. Turns the hedge into a complete set If each matched Up + Down pair costs less than $1, that portion of the position has a structural edge regardless of how the market resolves It keeps the unpaired remainder as a directional residual on the side its model considers undervalued Its Polymarket account: mo-money You can build your own trading bot here: (A trial is available after signing up) The bot’s main edge comes from a combination of fair-value entry and dynamic hedging: it first builds a position in an undervalued outcome, then uses the opposite side to reduce exposure or form a complete set

VALIX

84,374 просмотров • 4 дней назад

This guy built a trading bot with Claude and made $210,000 on Polymarket with an average trade size of $5.70 His bot makes 235 trades per hour, or 3.91 trades per minute, and trades the microstructure of short-term crypto Up/Down markets His strategy has six steps: 1. Records the asset’s opening price at the start of each market 2. Recalculates the probability of Up and Down based on live spot prices 3. Places limit orders across multiple price levels 4. When market momentum shifts, rebuilds the order grid and starts buying the opposite outcome 5. Hedges part of the original position while keeping directional exposure aligned with the current signal 6. In the final seconds, occasionally buys the nearly certain outcome at 98-99c This guy’s Polymarket account: Using this strategy, he consistently captures an edge and keeps growing his deposit
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This guy built a trading bot with Claude and made $210,000 on Polymarket with an average trade size of $5.70 His bot makes 235 trades per hour, or 3.91 trades per minute, and trades the microstructure of short-term crypto Up/Down markets His strategy has six steps: 1. Records the asset’s opening price at the start of each market 2. Recalculates the probability of Up and Down based on live spot prices 3. Places limit orders across multiple price levels 4. When market momentum shifts, rebuilds the order grid and starts buying the opposite outcome 5. Hedges part of the original position while keeping directional exposure aligned with the current signal 6. In the final seconds, occasionally buys the nearly certain outcome at 98-99c This guy’s Polymarket account: Using this strategy, he consistently captures an edge and keeps growing his deposit

VALIX

79,237 просмотров • 3 месяцев назад